Lehigh Valley Phantoms
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension

Game Center
	New Jersey Devils 26-48-8, 60pts	3	FINAL	5	Philadelphia Flyers 58-19-5, 121pts

Team Stats
W1	Streak	L1
18-20-3	Home Record	29-10-2
8-28-5	Away Record	29-9-3
5-5-0	Last 10 Games	7-3-0
2.61	Goals Per Game	4.02
3.77	Goals Against Per Game	2.96
22.48%	Power Play Percentage	25.53%
73.57%	Penalty Kill Percentage	76.70%

Washington Capitals
53-21-8, 114pts

FINAL

Philadelphia Flyers
58-19-5, 121pts

Team Stats
W1	Streak	L1
25-11-5	Home Record	29-10-2
28-10-3	Away Record	29-9-3
5-4-1	Last 10 Games	7-3-0
3.55	Goals Per Game	4.02
3.04	Goals Against Per Game	2.96
25.08%	Power Play Percentage	25.53%
76.64%	Penalty Kill Percentage	76.70%

Team Leaders
	Goals Nathan MacKinnon 48	Assists Hampus Lindholm 75

	Points Nathan MacKinnon 115	Plus/Minus Mikko Rantanen 55

	Wins Carter Hart 37	Save Percentage Carter Hart 0.904

Team Stats
Goals For 330 4.02 GFG	Shots For 3066 37.39 Avg	Power Play Percentage 25.5% 72 GF	Offensive Zone Start 43.6%
Goals Against 243 2.96 GAA	Shots Against 2491 30.38 Avg	Penalty Kill Percentage 76.7%% 65 GA	Defensive Zone Start 37.3%

Team Info
	General Manager	Kyle Liboiron
	Coach	Wayne Gretzky
	Division	East
	Conference	Eastern Conference
	Captain	Nathan MacKinnon
	Assistant #1
	Assistant #2	Mikko Rantanen
Arena Info
	Name	Wells Fargo Center
	Capacity	20,000
	Attendance	17,925
	Season Tickets	8,000
Roster Info
	Pro Team	20
	Farm Team	25
	Contract Limit	45 / 45
	Prospects	3
Salary Cap
	Estimated Season Salary Cap	87,476,024$
	Available Salary Cap	2,523,976$
	Special Salary Cap Value	0$
	Players In Salary Cap	20
Finance
	Year to Date Revenue	49,879,140$
	Year To Date Expenses	88,621,717$
	Estimated Season Revenue	0$
	Estimated Season Expenses	455,604$
	Current Bank Account	465,202,533$
	Projected Bank Account	464,746,929$

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Nathan MacKinnon (C)	17	X				100.00	69	48	82	89	80	88	86	93	72	95	87	64	68	76	71	0	60	84	0	28	1	6,300,000$
2	Mikko Rantanen (A)	16			X		100.00	69	40	73	81	82	88	91	87	74	88	90	64	68	69	66	0	60	82	0	27	3	9,250,000$
3	Joe Pavelski	0	X				100.00	74	40	92	71	81	79	94	79	81	84	74	71	67	94	81	0	60	78	0	39	1	2,750,000$
4	Alex Tuch	0			X		100.00	71	40	86	81	84	81	83	79	67	84	80	72	71	65	59	0	60	78	0	27	4	4,750,000$
5	Kyle Connor	14		X			100.00	67	40	89	81	66	86	93	81	53	85	80	64	61	68	59	0	60	77	0	27	4	7,142,857$
6	Adrian Kempe	0		X			100.00	74	57	79	81	77	80	93	74	59	75	85	73	77	69	59	0	60	77	0	27	4	5,500,000$
7	Joel Eriksson Ek	0		X			100.00	80	40	79	75	79	81	93	73	79	79	72	77	68	67	66	0	60	76	0	27	7	5,250,000$
8	Boone Jenner	0	X				100.00	76	57	80	73	79	84	84	72	85	76	76	71	57	75	74	0	60	76	0	30	4	3,750,000$
9	Blake Wheeler	0			X		100.00	70	40	76	70	84	78	86	75	69	83	69	67	64	90	84	0	60	75	0	37	2	8,250,000$
10	Martin Necas	15			X		100.00	69	40	82	78	71	78	92	73	69	81	72	68	56	62	59	0	60	74	0	25	2	3,000,000$
11	Kirby Dach	0		X			100.00	71	65	76	81	78	80	81	69	58	76	69	71	85	60	58	0	60	73	0	23	4	3,362,500$
12	Jeff Carter	10	X				100.00	72	40	82	68	86	71	91	65	90	73	67	74	64	94	75	0	60	72	0	39	2	3,125,000$
13	Hampus Lindholm	0				X	100.00	72	40	74	90	82	91	86	69	40	80	63	89	54	75	60	0	60	78	0	30	8	6,500,000$
14	Noah Hanifin	5				X	100.00	73	64	86	76	81	89	92	67	40	79	62	85	58	73	60	0	60	75	0	27	2	4,950,000$
15	Noah Dobson	23				X	100.00	70	40	87	81	71	85	91	70	40	80	65	76	54	61	58	0	60	74	0	24	3	4,000,000$
16	Luke Schenn	0				X	100.00	90	76	77	73	91	75	88	62	40	74	60	85	54	84	66	0	60	74	0	34	1	850,000$
17	Justin Holl	0				X	100.00	76	64	81	79	73	84	93	61	40	73	58	89	54	62	59	0	60	73	0	32	1	1,000,000$
18	Erik Johnson	0				X	100.00	73	40	87	71	88	77	83	59	40	71	59	87	54	83	72	0	60	72	0	36	1	3,000,000$
Scratches
Farm Team
1	Nathan Walker	72		X			100.00	67	66	81	65	72	61	69	59	71	68	59	67	54	60	58	0	60	64	0	30	1	750,000$
2	Lane Pederson	90	X				100.00	66	60	76	58	71	61	61	57	71	64	60	64	54	58	57	0	60	62	0	26	1	750,000$
3	Nils Aman	0	X				100.00	62	41	78	61	63	61	67	56	59	66	56	67	51	53	54	0	60	61	0	24	2	883,750$
4	Garrett Pilon	70	X		X		100.00	55	55	66	60	61	64	63	59	60	57	58	62	54	60	56	0	60	59	0	26	1	750,000$
5	Nate Schnarr	44	X				100.00	55	55	66	58	63	64	62	56	70	56	57	60	54	58	55	0	60	58	0	25	1	750,000$
6	Ryan Suzuki	47	X				100.00	55	54	67	57	62	63	61	58	70	57	58	59	54	55	53	0	60	58	0	22	1	750,000$
7	Linus Karlsson	0	X				100.00	53	55	60	60	57	65	63	59	52	56	60	56	54	56	52	0	60	58	0	24	1	750,000$
8	Matej Blumel	0			X		100.00	52	52	66	60	62	62	60	57	52	57	58	58	51	54	51	0	60	58	0	23	2	925,000$
9	Ruslan Iskhakov	82			X		100.00	52	57	61	58	51	64	62	59	52	58	57	57	57	54	51	0	60	57	0	23	1	750,000$
10	Oskar Olausson	48		X			100.00	52	56	63	58	59	63	61	54	52	53	55	55	51	51	49	0	60	56	0	21	3	894,167$
11	Eetu Tuulola	29			X		100.00	53	52	61	55	68	62	61	54	52	53	55	60	51	56	52	0	60	56	0	26	1	750,000$
12	Oliver Kapanen (R)	46	X				100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	20	4	750,000$
13	Paul Ludwinski (R)	77	X				100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	19	4	750,000$
14	Viktor Neuchev (R)	80		X			100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	20	4	750,000$
15	Alexander Edler	4				X	100.00	73	40	76	66	79	74	79	61	40	73	59	79	57	87	68	0	60	70	0	37	1	750,000$
16	Jakub Zboril	74				X	100.00	71	40	83	70	77	69	62	56	40	72	57	79	54	56	58	0	60	67	0	27	2	1,137,500$
17	Nils Lundkvist	22				X	100.00	64	44	77	67	72	70	69	59	40	67	60	72	54	56	56	0	60	65	0	23	2	925,000$
18	Ronnie Attard	0				X	100.00	56	53	70	60	71	69	63	59	40	61	59	67	54	58	56	0	60	62	0	25	1	883,750$
19	Maxence Guenette	0				X	100.00	55	55	67	60	65	67	64	59	40	60	56	58	54	55	53	0	60	59	0	22	2	813,333$
20	Brandt Clarke	0				X	100.00	57	43	66	62	64	62	53	51	38	65	51	64	51	50	52	0	60	58	0	21	3	894,167$
21	Jacob Moverare	21				X	100.00	55	54	66	57	68	64	62	57	40	57	55	60	54	60	56	0	60	58	0	25	2	762,500$
22	Sami Niku	73				X	100.00	52	51	64	53	61	58	56	53	38	53	52	59	51	59	54	0	60	55	0	27	1	750,000$
23	Ethan Gauthier (R)	0		X			100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	25	5	750,000$

	TEAM AVERAGE						100.00	63	50	72	66	70	70	73	63	55	68	62	67	57	63	59	0	60	66

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Carter Hart	30	100.00	80	90	90	79	81	76	85	76	88	77	87	64	59	0	60	81	0	25	2	3,979,000$
2	Logan Thompson	37	100.00	75	74	74	81	72	73	81	73	77	78	81	59	55	0	60	75	0	27	3	766,667$
Scratches
Farm Team
1	Alex Lyon	32	100.00	64	62	63	67	73	62	72	64	64	61	57	68	61	0	60	65	0	31	1	750,000$
2	Drew Commesso (R)	31	100.00	45	45	45	45	45	45	45	45	45	45	45	45	45	0	60	45	0	22	4	750,000$

	TEAM AVERAGE		100.00	66	68	68	68	68	64	71	65	69	65	68	59	55	0	60	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Wayne Gretzky	75	75	75	75	75	75	75	CAN	62	3	0$

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nathan MacKinnon	Philadelphia Flyers	C	82	48	67	115	54	10	0	97	218	358	109	264	13.41%	15	1773	21.63	10	17	27	68	238	1	4	5	13	308	12	2	50.04%	2614	2	1	1.30	4	4	0	0	0	10	14	8
2	Mikko Rantanen	Philadelphia Flyers	RW	82	43	49	92	55	30	0	112	115	351	99	219	12.25%	16	1755	21.41	11	15	26	78	238	3	0	3	16	290	10	2	46.53%	202	1	1	1.05	2	4	0	0	0	13	7	4
3	Hampus Lindholm	Philadelphia Flyers	D	78	15	75	90	22	87	5	124	157	179	56	111	8.38%	126	1900	24.37	8	21	29	94	226	0	0	0	3	207	1	1	0%	0	1	0	0.95	0	0	0	0	0	3	2	8
4	Noah Hanifin	Philadelphia Flyers	D	82	17	59	76	25	91	45	104	98	141	57	90	12.06%	119	2041	24.90	9	18	27	70	242	0	0	0	2	227	3	1	0%	0	2	0	0.74	0	0	1	0	8	4	3	4
5	Alex Tuch	Philadelphia Flyers	RW	82	28	41	69	15	24	0	113	127	310	98	218	9.03%	19	1562	19.05	8	12	20	51	217	0	0	0	4	117	4	1	49.07%	269	0	0	0.88	1	2	0	0	0	2	3	4
6	Kyle Connor	Philadelphia Flyers	LW	82	30	38	68	15	25	5	80	100	261	58	191	11.49%	5	1428	17.42	5	12	17	58	217	0	0	0	0	1	5	1	48.08%	104	0	0	0.95	0	0	1	0	0	5	3	3
7	Adrian Kempe	Philadelphia Flyers	LW	82	28	39	67	48	28	0	132	79	238	71	168	11.76%	14	1422	17.34	5	10	15	52	236	0	0	0	0	4	2	0	44.95%	109	0	0	0.94	0	1	0	0	0	1	7	3
8	Joe Pavelski	Philadelphia Flyers	C	80	27	31	58	16	48	10	111	165	190	71	189	14.21%	11	1508	18.85	9	9	18	35	208	0	0	0	7	113	6	2	56.25%	1808	0	0	0.77	1	1	0	1	1	3	4	2
9	Noah Dobson	Philadelphia Flyers	D	82	10	41	51	37	16	0	34	86	116	42	86	8.62%	87	1681	20.51	4	3	7	58	208	0	1	1	1	201	2	1	0%	0	0	0	0.61	0	0	0	0	0	0	2	2
10	Luke Schenn	Philadelphia Flyers	D	82	8	36	44	34	108	10	202	66	128	46	96	6.25%	121	1635	19.95	2	9	11	53	201	1	1	2	1	171	0	0	0%	0	0	0	0.54	0	0	0	1	1	1	0	2
11	Joel Eriksson Ek	Philadelphia Flyers	LW	82	18	16	34	5	32	0	97	80	184	49	124	9.78%	11	1013	12.36	0	0	0	0	3	0	0	0	0	0	1	4	54.29%	70	0	0	0.67	0	0	0	0	0	3	0	4
12	Boone Jenner	Philadelphia Flyers	C	82	13	17	30	5	19	5	74	111	144	39	107	9.03%	4	1026	12.52	1	1	2	2	13	0	0	0	0	0	4	1	57.29%	1180	0	0	0.58	0	0	0	1	0	1	2	0
13	Erik Johnson	Philadelphia Flyers	D	82	6	22	28	17	46	0	59	56	50	29	47	12.00%	97	1247	15.21	0	0	0	0	5	0	1	1	0	68	1	1	0%	0	0	0	0.45	0	0	0	0	0	1	0	2
14	Blake Wheeler	Philadelphia Flyers	RW	82	9	18	27	4	22	0	55	60	121	38	88	7.44%	6	1055	12.88	0	0	0	0	3	0	0	0	0	46	1	1	47.50%	80	0	0	0.51	0	0	0	0	0	0	3	0
15	Justin Holl	Philadelphia Flyers	D	57	3	19	22	15	70	20	75	50	46	23	55	6.52%	52	784	13.77	0	0	0	6	29	0	0	0	0	0	0	0	0%	0	0	0	0.56	0	0	2	1	1	0	3	0
16	Kirby Dach	Philadelphia Flyers	LW	82	10	7	17	4	12	0	46	35	64	16	43	15.63%	8	602	7.35	0	0	0	0	0	0	1	1	1	32	2	0	45.16%	31	0	0	0.56	0	0	0	0	0	0	1	1
17	Martin Necas	Philadelphia Flyers	RW	82	4	11	15	3	12	0	33	40	87	34	52	4.60%	5	567	6.92	0	0	0	0	0	0	0	0	0	0	0	0	76.74%	43	0	0	0.53	0	0	0	0	0	0	0	1
18	Jeff Carter	Philadelphia Flyers	C	82	7	7	14	3	12	0	45	80	64	10	49	10.94%	8	575	7.02	0	0	0	0	0	0	0	0	0	8	1	1	61.11%	720	0	0	0.49	0	0	0	0	0	0	0	0
19	Alexander Edler	Lehigh Valley Phantoms (PHI)	D	65	3	6	9	6	20	0	38	14	27	6	14	11.11%	36	524	8.06	0	0	0	1	1	0	1	1	1	38	0	0	0%	0	0	0	0.34	0	0	0	0	0	0	0	0
20	Jakub Zboril	Lehigh Valley Phantoms (PHI)	D	40	0	1	1	0	0	0	6	3	6	0	0	0%	2	55	1.39	0	0	0	2	2	0	0	0	0	12	0	0	0%	0	0	0	0.36	0	0	0	0	0	0	0	0
21	Nils Lundkvist	Lehigh Valley Phantoms (PHI)	D	40	0	0	0	0	0	0	1	0	0	0	0	0%	0	1	0.04	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0
22	Nathan Walker	Lehigh Valley Phantoms (PHI)	LW	4	0	0	0	-1	0	0	2	4	1	1	1	0%	0	33	8.34	0	0	0	0	0	0	0	0	0	0	0	0	54.76%	42	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				1594	327	600	927	382	712	100	1640	1744	3066	952	2212	10.67%	762	24198	15.18	72	127	199	628	2295	5	9	14	49	1851	55	19	53.80%	7272	6	2	0.77	8	12	4	4	11	47	54	48

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Carter Hart	Philadelphia Flyers	55	37	13	3	0.904	2.98	3223	4	2	160	1660	1	0	0.600	10	54	28	5	2	1
2	Logan Thompson	Philadelphia Flyers	30	21	6	2	0.902	2.82	1726	6	2	81	830	1	1	1.000	2	28	54	2	1	1
Team Total or Average			85	58	19	5	0.903	2.92	4950	10	4	241	2490	2	1		12	82	82	7	3	2

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Adrian Kempe (1 Way Contract)	Philadelphia Flyers	LW	27	09/13/96	No	200 Lbs	6 ft2	No	No	N/A	No	No	4	Pro & Farm	5,500,000$	5,500,000$	28,646$	No	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Alex Tuch (1 Way Contract)	Philadelphia Flyers	RW	27	05/10/96	No	219 Lbs	6 ft4	No	No	N/A	No	No	4	Pro & Farm	4,750,000$	4,750,000$	24,740$	No	4,750,000$	4,750,000$	4,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Blake Wheeler (1 Way Contract)	Philadelphia Flyers	RW	37	08/31/86	No	220 Lbs	6 ft5	No	No	N/A	No	No	2	Pro & Farm	8,250,000$	8,250,000$	42,969$	No	8,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Boone Jenner (1 Way Contract)	Philadelphia Flyers	C	30	06/15/93	No	203 Lbs	6 ft2	No	No	N/A	No	No	4	Pro & Farm	3,750,000$	3,750,000$	19,531$	No	3,750,000$	3,750,000$	3,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Carter Hart (1 Way Contract)	Philadelphia Flyers	G	25	08/13/98	No	181 Lbs	6 ft2	No	No	N/A	No	No	2	Pro & Farm	3,979,000$	3,979,000$	20,724$	No	3,979,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Erik Johnson (1 Way Contract)	Philadelphia Flyers	D	36	03/21/88	No	225 Lbs	6 ft4	No	No	N/A	No	No	1	Pro & Farm	3,000,000$	3,000,000$	15,625$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Hampus Lindholm (1 Way Contract)	Philadelphia Flyers	D	30	01/20/94	No	215 Lbs	6 ft4	No	No	N/A	No	No	8	Pro & Farm	6,500,000$	6,500,000$	33,854$	No	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	-	-	No	No	No	No	No	No	No	-	-	Link
Jeff Carter (1 Way Contract)	Philadelphia Flyers	C	39	01/01/85	No	219 Lbs	6 ft3	No	No	N/A	No	No	2	Pro & Farm	3,125,000$	3,125,000$	16,276$	No	3,125,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Joe Pavelski (1 Way Contract)	Philadelphia Flyers	C	39	07/11/84	No	200 Lbs	5 ft11	No	No	N/A	No	No	1	Pro & Farm	2,750,000$	2,750,000$	14,323$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Joel Eriksson Ek (1 Way Contract)	Philadelphia Flyers	LW	27	01/29/97	No	207 Lbs	6 ft3	No	No	N/A	No	No	7	Pro & Farm	5,250,000$	5,250,000$	27,344$	No	5,250,000$	5,250,000$	5,250,000$	5,250,000$	5,250,000$	5,250,000$	-	-	-	No	No	No	No	No	No	-	-	-	Link
Justin Holl (1 Way Contract)	Philadelphia Flyers	D	32	01/30/92	No	197 Lbs	6 ft3	No	No	N/A	No	No	1	Pro & Farm	1,000,000$	1,000,000$	5,208$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kirby Dach (1 Way Contract)	Philadelphia Flyers	LW	23	01/21/01	No	212 Lbs	6 ft4	No	No	N/A	No	No	4	Pro & Farm	3,362,500$	3,362,500$	17,513$	No	3,362,500$	3,362,500$	3,362,500$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Kyle Connor (1 Way Contract)	Philadelphia Flyers	LW	27	12/09/96	No	179 Lbs	6 ft2	No	No	N/A	No	No	4	Pro & Farm	7,142,857$	7,142,857$	37,202$	No	7,142,857$	7,142,857$	7,142,857$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Logan Thompson	Philadelphia Flyers	G	27	02/25/97	No	205 Lbs	6 ft4	No	No	N/A	No	No	3	Pro & Farm	766,667$	766,667$	3,993$	No	766,667$	766,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Luke Schenn	Philadelphia Flyers	D	34	11/02/89	No	225 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm	850,000$	850,000$	4,427$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Martin Necas (1 Way Contract)	Philadelphia Flyers	RW	25	01/15/99	No	189 Lbs	6 ft2	No	No	N/A	No	No	2	Pro & Farm	3,000,000$	3,000,000$	15,625$	No	3,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Mikko Rantanen (1 Way Contract)	Philadelphia Flyers	RW	27	10/29/96	No	215 Lbs	6 ft4	No	No	N/A	No	No	3	Pro & Farm	9,250,000$	9,250,000$	48,177$	No	9,250,000$	9,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Nathan MacKinnon (1 Way Contract)	Philadelphia Flyers	C	28	09/01/95	No	200 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	6,300,000$	6,300,000$	32,812$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Noah Dobson (1 Way Contract)	Philadelphia Flyers	D	24	01/07/00	No	194 Lbs	6 ft4	No	No	N/A	No	No	3	Pro & Farm	4,000,000$	4,000,000$	20,833$	No	4,000,000$	4,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Noah Hanifin (1 Way Contract)	Philadelphia Flyers	D	27	01/25/97	No	207 Lbs	6 ft3	No	No	N/A	No	No	2	Pro & Farm	4,950,000$	4,950,000$	25,781$	No	4,950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	29.55	206 Lbs	6 ft3	2.95	4,373,801$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
87,476,024$	73,576,024$	50,272,024$	36,255,357$	11,750,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Adrian Kempe	Nathan MacKinnon	Mikko Rantanen	30	1	2	2
2	Kyle Connor	Joe Pavelski	Alex Tuch	30	1	2	2
3	Joel Eriksson Ek	Boone Jenner	Blake Wheeler	25	1	2	2
4	Kirby Dach	Jeff Carter	Martin Necas	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Hampus Lindholm	Noah Hanifin	30	1	2	2
2	Luke Schenn	Noah Dobson	30	1	2	2
3	Justin Holl	Erik Johnson	25	1	2	2
4	Hampus Lindholm	Noah Hanifin	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Adrian Kempe	Nathan MacKinnon	Mikko Rantanen	60	1	2	2
2	Kyle Connor	Joe Pavelski	Alex Tuch	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Hampus Lindholm	Noah Hanifin	60	1	2	2
2	Luke Schenn	Noah Dobson	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nathan MacKinnon	Mikko Rantanen	60	1	2	2
2	Alex Tuch	Joe Pavelski	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Hampus Lindholm	Noah Hanifin	60	1	2	2
2	Luke Schenn	Noah Dobson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Nathan MacKinnon	60	1	2	2	Hampus Lindholm	Noah Hanifin	60	1	2	2
2	Mikko Rantanen	40	1	2	2	Luke Schenn	Noah Dobson	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nathan MacKinnon	Mikko Rantanen	60	1	2	2
2	Alex Tuch	Joe Pavelski	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Hampus Lindholm	Noah Hanifin	60	1	2	2
2	Luke Schenn	Noah Dobson	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Adrian Kempe	Nathan MacKinnon	Mikko Rantanen	Hampus Lindholm	Noah Hanifin

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Adrian Kempe	Nathan MacKinnon	Mikko Rantanen	Hampus Lindholm	Noah Hanifin

Extra Forwards
Normal	PowerPlay	Penalty Kill
Boone Jenner, Joel Eriksson Ek, Blake Wheeler	Boone Jenner, Joel Eriksson Ek	Blake Wheeler

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Justin Holl, Erik Johnson, Luke Schenn	Justin Holl	Erik Johnson, Luke Schenn

Penalty Shots
Nathan MacKinnon, Mikko Rantanen, Alex Tuch, Joe Pavelski, Adrian Kempe

Goalie
#1 : Carter Hart, #2 : Logan Thompson

Custom OT Lines Forwards
Nathan MacKinnon, Mikko Rantanen, Alex Tuch, Joe Pavelski, Adrian Kempe, Kyle Connor, Kyle Connor, Boone Jenner, Joel Eriksson Ek, Blake Wheeler, Martin Necas

Custom OT Lines Defensemen
Hampus Lindholm, Noah Hanifin, Luke Schenn, Noah Dobson, Justin Holl

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Anaheim Ducks	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	2	3	4	1.000	9	16	25	0	0	2	4	3	0	58	15	23	20	0	57	15	16	30	6	2	33.33%	8	0	100.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	47	32	44	15	28	13
2	Arizona Coyotes	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	11	17	0	0	2	3	1	0	69	15	16	38	0	62	15	10	42	8	1	12.50%	5	1	80.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	49	33	44	14	26	14
3	Boston Bruins	3	1	2	0	0	0	0	0	12	13	-1	2	1	1	0	0	0	0	0	9	9	0	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	12	21	33	0	0	6	3	3	0	114	51	34	29	0	115	25	22	61	10	1	10.00%	11	6	45.45%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	73	51	67	22	39	19
4	Buffalo Sabres	3	1	2	0	0	0	0	0	10	15	-5	1	0	1	0	0	0	0	0	2	7	-5	2	1	1	0	0	0	0	0	8	8	0	2	0.333	10	19	29	0	0	4	5	1	0	128	43	50	35	0	89	24	31	59	14	2	14.29%	12	5	58.33%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	75	54	66	21	37	19
5	Calgary Flames	2	1	0	0	1	0	0	0	10	7	3	1	1	0	0	0	0	0	0	6	4	2	1	0	0	0	1	0	0	0	4	3	1	4	1.000	10	19	29	0	0	5	3	1	1	70	28	22	19	1	91	35	31	47	13	6	46.15%	8	2	75.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	48	34	50	15	24	11
6	Carolina Hurricanes	4	2	1	0	0	1	0	0	19	16	3	2	0	1	0	0	1	0	0	6	9	-3	2	2	0	0	0	0	0	0	13	7	6	5	0.625	19	32	51	1	0	8	7	4	0	132	47	42	42	1	114	34	30	81	13	3	23.08%	15	4	73.33%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	92	61	96	30	53	27
7	Chicago Blackhawks	2	1	1	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	6	2	4	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	9	16	25	0	0	3	3	3	0	85	27	18	40	0	40	9	12	43	7	1	14.29%	6	3	50.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	54	38	40	13	25	13
8	Colorado Avalanche	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	3	1	4	1.000	7	12	19	0	0	4	1	2	0	61	18	24	19	0	44	18	13	38	10	2	20.00%	4	1	75.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	47	33	47	14	25	12
9	Columbus Blue Jackets	4	3	0	0	0	1	0	0	14	7	7	2	2	0	0	0	0	0	0	9	3	6	2	1	0	0	0	1	0	0	5	4	1	7	0.875	14	26	40	0	0	7	3	4	0	153	49	51	53	0	128	28	42	80	13	0	0.00%	16	0	100.00%	2	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	94	64	94	30	51	26
10	Dallas Stars	2	2	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	5	1	4	4	1.000	9	17	26	0	0	2	3	4	0	75	28	23	24	0	69	21	20	56	3	0	0.00%	5	1	80.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	51	37	42	14	26	13
11	Detroit Red Wings	3	1	1	0	1	0	0	0	11	11	0	1	0	1	0	0	0	0	0	2	5	-3	2	1	0	0	1	0	0	0	9	6	3	4	0.667	11	21	32	0	0	6	1	3	1	128	45	37	45	1	95	38	39	74	12	3	25.00%	8	2	75.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	74	52	66	21	40	19
12	Edmonton Oilers	2	1	0	0	0	0	0	1	11	6	5	1	0	0	0	0	0	0	1	3	4	-1	1	1	0	0	0	0	0	0	8	2	6	3	0.750	11	21	32	0	0	2	4	5	3	85	31	29	18	12	70	14	12	42	4	2	50.00%	6	1	83.33%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	53	38	43	15	28	14
13	Florida Panthers	3	1	1	0	0	1	0	0	14	18	-4	1	1	0	0	0	0	0	0	4	3	1	2	0	1	0	0	1	0	0	10	15	-5	3	0.500	14	25	39	0	0	6	6	2	0	94	29	28	37	0	112	39	39	60	8	1	12.50%	12	5	58.33%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	68	45	72	23	40	18
14	Los Angeles Kings	2	0	1	0	0	0	1	0	7	7	0	1	0	0	0	0	0	1	0	4	3	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	7	11	18	0	0	0	3	3	2	90	21	32	29	10	72	16	16	38	8	3	37.50%	8	1	87.50%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	49	33	48	15	27	14
15	Minnesota Wild	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	10	15	0	0	1	2	2	0	56	13	23	20	0	60	32	22	30	3	0	0.00%	11	1	90.91%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	41	27	52	15	26	12
16	Montreal Canadiens	3	2	1	0	0	0	0	0	13	10	3	1	1	0	0	0	0	0	0	5	1	4	2	1	1	0	0	0	0	0	8	9	-1	4	0.667	13	26	39	0	0	5	3	5	0	121	43	28	50	0	89	36	29	67	9	1	11.11%	12	1	91.67%	1	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	70	46	69	23	39	19
17	Nashville Predators	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	17	26	0	0	2	2	5	0	85	25	25	35	0	70	13	17	34	4	0	0.00%	4	2	50.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	50	35	44	13	25	12
18	New Jersey Devils	4	3	1	0	0	0	0	0	19	9	10	2	2	0	0	0	0	0	0	11	5	6	2	1	1	0	0	0	0	0	8	4	4	6	0.750	19	37	56	0	1	7	5	7	0	138	45	40	53	0	112	39	38	74	14	6	42.86%	11	3	72.73%	1	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	93	65	96	29	50	25
19	New York Islanders	3	3	0	0	0	0	0	0	13	5	8	1	1	0	0	0	0	0	0	3	1	2	2	2	0	0	0	0	0	0	10	4	6	6	1.000	13	24	37	0	0	4	7	2	0	114	44	39	31	0	94	24	17	75	9	2	22.22%	6	1	83.33%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	75	53	67	20	37	18
20	New York Rangers	4	3	0	0	1	0	0	0	18	10	8	2	1	0	0	1	0	0	0	8	4	4	2	2	0	0	0	0	0	0	10	6	4	8	1.000	18	32	50	0	0	6	7	4	1	136	45	44	46	1	123	38	32	68	18	6	33.33%	15	5	66.67%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	96	64	91	30	52	27
21	Ottawa Senators	3	2	0	0	1	0	0	0	13	8	5	2	1	0	0	1	0	0	0	6	4	2	1	1	0	0	0	0	0	0	7	4	3	6	1.000	13	25	38	0	0	4	6	2	1	110	36	30	43	1	81	28	19	49	9	1	11.11%	7	1	85.71%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	79	56	64	20	38	19
22	Pittsburgh Penguins	4	4	0	0	0	0	0	0	17	4	13	2	2	0	0	0	0	0	0	10	4	6	2	2	0	0	0	0	0	0	7	0	7	8	1.000	17	32	49	0	2	2	5	10	0	153	43	44	66	0	91	34	41	81	11	7	63.64%	17	1	94.12%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	105	74	81	28	53	28
23	San Jose Sharks	2	1	1	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	3	7	-4	1	1	0	0	0	0	0	0	3	1	2	2	0.500	6	11	17	0	0	2	1	3	0	76	27	20	29	0	56	21	10	36	10	2	20.00%	5	2	60.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	52	37	43	15	24	12
24	Seattle Kraken	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	12	19	0	0	3	3	1	0	80	38	19	23	0	41	18	12	38	6	2	33.33%	5	1	80.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	48	34	45	15	25	12
25	St. Louis Blues	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	5	3	2	2	0.500	7	14	21	0	0	1	3	3	0	89	23	40	26	0	68	15	12	40	10	4	40.00%	5	1	80.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	47	32	46	14	26	12
26	Tampa Bay Lightning	3	2	1	0	0	0	0	0	13	10	3	2	1	1	0	0	0	0	0	8	8	0	1	1	0	0	0	0	0	0	5	2	3	4	0.667	13	23	36	0	0	4	4	5	0	119	32	43	44	0	90	18	22	55	9	4	44.44%	11	3	72.73%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	73	50	68	21	38	19
27	Toronto Maple Leafs	3	0	1	0	0	1	1	0	8	11	-3	2	0	1	0	0	0	1	0	6	8	-2	1	0	0	0	0	1	0	0	2	3	-1	3	0.500	8	12	20	0	0	1	4	2	1	99	38	28	31	4	82	29	20	53	11	1	9.09%	10	2	80.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	74	51	74	23	38	19
28	Vancouver Canucks	2	1	0	0	0	0	1	0	8	4	4	1	1	0	0	0	0	0	0	6	3	3	1	0	0	0	0	0	1	0	2	1	1	4	1.000	8	13	21	0	0	6	0	1	2	68	24	18	23	6	75	30	16	36	4	1	25.00%	8	2	75.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	42	28	53	16	28	13
29	Vegas Golden Knights	2	1	1	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	4	0	4	2	0.500	6	10	16	0	1	3	1	2	0	89	33	28	28	0	39	15	6	34	7	2	28.57%	3	0	100.00%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	54	39	38	13	26	14
30	Washington Capitals	3	0	2	0	1	0	0	0	10	15	-5	2	0	1	0	1	0	0	0	8	11	-3	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	10	19	29	0	0	4	3	2	1	104	36	32	35	1	104	23	60	77	10	2	20.00%	17	6	64.71%	0	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	71	48	70	21	38	18
31	Winnipeg Jets	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	10	16	26	0	0	4	3	3	0	87	33	36	18	0	58	18	16	42	9	4	44.44%	8	1	87.50%	1	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	50	35	44	15	25	12
	Total	82	50	19	0	5	4	3	1	330	243	87	41	24	10	0	3	1	2	1	159	127	32	41	26	9	0	2	3	1	0	171	116	55	121	0.738	330	600	930	1	4	116	108	98	13	3066	1025	966	1049	38	2491	762	722	1640	282	72	25.53%	279	65	76.70%	5	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	2007	1392	1877	609	1070	539
	_Since Last GM Reset	82	50	19	0	5	4	3	1	330	243	87	41	24	10	0	3	1	2	1	159	127	32	41	26	9	0	2	3	1	0	171	116	55	121	0.738	330	600	930	1	4	116	108	98	13	3066	1025	966	1049	38	2491	762	722	1640	282	72	25.53%	279	65	76.70%	5	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	2007	1392	1877	609	1070	539
	_Vs Conference	50	28	13	0	4	4	1	0	204	162	42	25	13	7	0	3	1	1	0	97	82	15	25	15	6	0	1	3	0	0	107	80	27	70	0.700	204	374	578	1	3	74	69	56	5	1843	626	570	640	9	1519	457	481	1014	170	40	23.53%	180	45	75.00%	4	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	1219	841	1148	368	649	328
	_Vs Division	50	28	13	0	4	4	1	0	204	162	42	25	13	7	0	3	1	1	0	97	82	15	25	15	6	0	1	3	0	0	107	80	27	70	0.700	204	374	578	1	3	74	69	56	5	1843	626	570	640	9	1519	457	481	1014	170	40	23.53%	180	45	75.00%	4	1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%	1219	841	1148	368	649	328

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	121	L1	330	600	930	3066	2491	762	722	1640	1	4

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	50	19	5	4	3	1	330	243

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	24	10	3	1	2	1	159	127

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	26	9	2	3	1	0	171	116

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
282	72	25.53%	279	65	76.70%	5

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
1025	966	1049	38	116	108	98	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1731	3147	55.00%	1447	2693	53.73%	734	1376	53.34%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2007	1392	1877	609	1070	539

Last Played Games Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
3 - 2023-10-11	11	Philadelphia Flyers	2	Columbus Blue Jackets	3	AL	X		BoxScore
5 - 2023-10-13	19	Philadelphia Flyers	7	Ottawa Senators	4	AW			BoxScore
8 - 2023-10-16	42	Vancouver Canucks	3	Philadelphia Flyers	6	BW			BoxScore
10 - 2023-10-18	54	Edmonton Oilers	4	Philadelphia Flyers	3	BL	X	X	BoxScore
12 - 2023-10-20	72	Philadelphia Flyers	5	Dallas Stars	1	AW			BoxScore
15 - 2023-10-23	98	Philadelphia Flyers	4	Vegas Golden Knights	0	AW			BoxScore
17 - 2023-10-25	104	Minnesota Wild	3	Philadelphia Flyers	4	BW			BoxScore
19 - 2023-10-27	117	Anaheim Ducks	2	Philadelphia Flyers	4	BW			BoxScore
21 - 2023-10-29	131	Carolina Hurricanes	5	Philadelphia Flyers	3	BL			BoxScore
23 - 2023-10-31	141	Buffalo Sabres	7	Philadelphia Flyers	2	BL			BoxScore
25 - 2023-11-02	157	Philadelphia Flyers	5	Buffalo Sabres	3	AW			BoxScore
26 - 2023-11-03	164	Los Angeles Kings	3	Philadelphia Flyers	4	BW	X	X	BoxScore
29 - 2023-11-06	189	Philadelphia Flyers	3	San Jose Sharks	1	AW			BoxScore
32 - 2023-11-09	208	Philadelphia Flyers	5	Anaheim Ducks	2	AW			BoxScore
33 - 2023-11-10	221	Philadelphia Flyers	3	Los Angeles Kings	4	AL			BoxScore
37 - 2023-11-14	238	Philadelphia Flyers	7	Carolina Hurricanes	4	AW			BoxScore
40 - 2023-11-17	255	Vegas Golden Knights	4	Philadelphia Flyers	2	BL			BoxScore
41 - 2023-11-18	268	Columbus Blue Jackets	1	Philadelphia Flyers	5	BW			BoxScore
44 - 2023-11-21	286	Philadelphia Flyers	7	New York Islanders	3	AW			BoxScore
46 - 2023-11-23	294	New York Rangers	2	Philadelphia Flyers	3	BW	X		BoxScore
47 - 2023-11-24	312	Philadelphia Flyers	3	New York Islanders	1	AW			BoxScore
50 - 2023-11-27	328	Carolina Hurricanes	4	Philadelphia Flyers	3	BL	X		BoxScore
52 - 2023-11-29	344	New Jersey Devils	2	Philadelphia Flyers	6	BW			BoxScore
54 - 2023-12-01	363	Philadelphia Flyers	4	Pittsburgh Penguins	0	AW			BoxScore
56 - 2023-12-03	374	Pittsburgh Penguins	2	Philadelphia Flyers	3	BW			BoxScore
59 - 2023-12-06	400	Philadelphia Flyers	3	Arizona Coyotes	2	AW			BoxScore
61 - 2023-12-08	417	Philadelphia Flyers	4	Colorado Avalanche	3	AW			BoxScore
64 - 2023-12-11	435	Philadelphia Flyers	5	Nashville Predators	3	AW			BoxScore
66 - 2023-12-13	448	Washington Capitals	4	Philadelphia Flyers	5	BW	X		BoxScore
68 - 2023-12-15	466	Detroit Red Wings	5	Philadelphia Flyers	2	BL			BoxScore
71 - 2023-12-18	487	Philadelphia Flyers	3	New Jersey Devils	4	AL			BoxScore
73 - 2023-12-20	502	Nashville Predators	3	Philadelphia Flyers	4	BW			BoxScore
74 - 2023-12-21	510	Philadelphia Flyers	4	Detroit Red Wings	3	AW	X		BoxScore
80 - 2023-12-27	543	Philadelphia Flyers	2	Vancouver Canucks	1	AW	X	X	BoxScore
81 - 2023-12-28	554	Philadelphia Flyers	3	Seattle Kraken	2	AW			BoxScore
83 - 2023-12-30	570	Philadelphia Flyers	4	Calgary Flames	3	AW	X		BoxScore
85 - 2024-01-01	583	Philadelphia Flyers	8	Edmonton Oilers	2	AW			BoxScore
87 - 2024-01-03	592	Columbus Blue Jackets	2	Philadelphia Flyers	4	BW			BoxScore
89 - 2024-01-05	605	Calgary Flames	4	Philadelphia Flyers	6	BW			BoxScore
91 - 2024-01-07	622	Pittsburgh Penguins	2	Philadelphia Flyers	7	BW			BoxScore
93 - 2024-01-09	635	Montreal Canadiens	1	Philadelphia Flyers	5	BW			BoxScore
95 - 2024-01-11	652	Philadelphia Flyers	1	Minnesota Wild	3	AL			BoxScore
96 - 2024-01-12	657	Philadelphia Flyers	6	Winnipeg Jets	2	AW			BoxScore
98 - 2024-01-14	679	Philadelphia Flyers	5	St. Louis Blues	3	AW			BoxScore
101 - 2024-01-17	694	Dallas Stars	1	Philadelphia Flyers	4	BW			BoxScore
103 - 2024-01-19	707	Colorado Avalanche	1	Philadelphia Flyers	3	BW			BoxScore
104 - 2024-01-20	718	Ottawa Senators	1	Philadelphia Flyers	2	BW			BoxScore
106 - 2024-01-22	732	Tampa Bay Lightning	4	Philadelphia Flyers	3	BL			BoxScore
108 - 2024-01-24	747	Philadelphia Flyers	5	Detroit Red Wings	3	AW			BoxScore
110 - 2024-01-26	759	Boston Bruins	4	Philadelphia Flyers	2	BL			BoxScore
120 - 2024-02-05	786	Philadelphia Flyers	4	Florida Panthers	8	AL			BoxScore
122 - 2024-02-07	797	Winnipeg Jets	2	Philadelphia Flyers	4	BW			BoxScore
124 - 2024-02-09	814	Seattle Kraken	2	Philadelphia Flyers	4	BW			BoxScore
126 - 2024-02-11	821	Arizona Coyotes	1	Philadelphia Flyers	3	BW			BoxScore
129 - 2024-02-14	843	Philadelphia Flyers	2	Toronto Maple Leafs	3	AL	X		BoxScore
131 - 2024-02-16	859	Philadelphia Flyers	5	New Jersey Devils	0	AW			BoxScore
135 - 2024-02-20	885	Philadelphia Flyers	3	Chicago Blackhawks	4	AL			BoxScore
138 - 2024-02-23	905	New York Rangers	2	Philadelphia Flyers	5	BW			BoxScore
139 - 2024-02-24	917	Philadelphia Flyers	3	Pittsburgh Penguins	0	AW			BoxScore
141 - 2024-02-26	930	Tampa Bay Lightning	4	Philadelphia Flyers	5	BW			BoxScore
144 - 2024-02-29	954	Philadelphia Flyers	2	Washington Capitals	4	AL			BoxScore
145 - 2024-03-01	962	Ottawa Senators	3	Philadelphia Flyers	4	BW	X		BoxScore
147 - 2024-03-03	977	St. Louis Blues	3	Philadelphia Flyers	2	BL			BoxScore
150 - 2024-03-06	996	Philadelphia Flyers	6	Florida Panthers	7	AL	X		BoxScore
152 - 2024-03-08	1016	Philadelphia Flyers	5	Tampa Bay Lightning	2	AW			BoxScore
155 - 2024-03-11	1035	San Jose Sharks	7	Philadelphia Flyers	3	BL			BoxScore
157 - 2024-03-13	1050	Toronto Maple Leafs	4	Philadelphia Flyers	5	BW	X	X	BoxScore
159 - 2024-03-15	1065	Philadelphia Flyers	3	Boston Bruins	4	AL			BoxScore
162 - 2024-03-18	1086	Toronto Maple Leafs	4	Philadelphia Flyers	1	BL			BoxScore
164 - 2024-03-20	1099	Philadelphia Flyers	6	Carolina Hurricanes	3	AW			BoxScore
166 - 2024-03-22	1114	Boston Bruins	5	Philadelphia Flyers	7	BW			BoxScore
167 - 2024-03-23	1129	Florida Panthers	3	Philadelphia Flyers	4	BW			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
169 - 2024-03-25	1137	Philadelphia Flyers	5	New York Rangers	2	AW			BoxScore
171 - 2024-03-27	1152	Philadelphia Flyers	1	Montreal Canadiens	4	AL			BoxScore
173 - 2024-03-29	1174	Chicago Blackhawks	2	Philadelphia Flyers	6	BW			BoxScore
175 - 2024-03-31	1183	New York Islanders	1	Philadelphia Flyers	3	BW			BoxScore
179 - 2024-04-04	1211	Philadelphia Flyers	3	Buffalo Sabres	5	AL			BoxScore
180 - 2024-04-05	1222	Philadelphia Flyers	3	Columbus Blue Jackets	1	AW			BoxScore
183 - 2024-04-08	1242	Philadelphia Flyers	7	Montreal Canadiens	5	AW			BoxScore
185 - 2024-04-10	1257	Philadelphia Flyers	5	New York Rangers	4	AW			BoxScore
187 - 2024-04-12	1274	New Jersey Devils	3	Philadelphia Flyers	5	BW			BoxScore
190 - 2024-04-15	1299	Washington Capitals	7	Philadelphia Flyers	3	BL			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	5750	5250	3500	4000	1500
Ticket Price	100	60	35	20	200
Attendance	182,729	203,145	136,196	155,094	57,744
Attendance PCT	77.51%	94.38%	94.91%	94.57%	93.89%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	17925 - 89.62%	1,216,564$	49,879,140$	20000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
88,621,717$	87,476,024$	94,226,024$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
87,476,024$	88,621,717$	0$	20	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	1	455,604$	455,604$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
455,604$	465,202,533$	464,746,929$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
87,476,024$	2,523,976$	90,000,000$	32,476,024$

Depth Chart

Left Wing

Center

Right Wing

Kyle Connor	AGE:27	PO:0	OV:77
Adrian Kempe	AGE:27	PO:0	OV:77
Joel Eriksson Ek	AGE:27	PO:0	OV:76
Kirby Dach	AGE:23	PO:0	OV:73
Nathan Walker	AGE:30	PO:0	OV:64
Oskar Olausson	AGE:21	PO:0	OV:56
Viktor Neuchev (R)	AGE:20	PO:0	OV:45
Ethan Gauthier (R)	AGE:25	PO:0	OV:45

Nathan MacKinnon	AGE:28	PO:0	OV:84
Joe Pavelski	AGE:39	PO:0	OV:78
Boone Jenner	AGE:30	PO:0	OV:76
Jeff Carter	AGE:39	PO:0	OV:72
Lane Pederson	AGE:26	PO:0	OV:62
Nils Aman	AGE:24	PO:0	OV:61
Garrett Pilon	AGE:26	PO:0	OV:59
Nate Schnarr	AGE:25	PO:0	OV:58
Ryan Suzuki	AGE:22	PO:0	OV:58
Linus Karlsson	AGE:24	PO:0	OV:58
Oliver Kapanen (R)	AGE:20	PO:0	OV:45
Paul Ludwinski (R)	AGE:19	PO:0	OV:45

Mikko Rantanen	AGE:27	PO:0	OV:82
Alex Tuch	AGE:27	PO:0	OV:78
Blake Wheeler	AGE:37	PO:0	OV:75
Martin Necas	AGE:25	PO:0	OV:74
Garrett Pilon	AGE:26	PO:0	OV:59
Matej Blumel	AGE:23	PO:0	OV:58
Ruslan Iskhakov	AGE:23	PO:0	OV:57
Eetu Tuulola	AGE:26	PO:0	OV:56

Defense #1

Defense #2

Goalie

Hampus Lindholm	AGE:30	PO:0	OV:78
Noah Hanifin	AGE:27	PO:0	OV:75
Noah Dobson	AGE:24	PO:0	OV:74
Luke Schenn	AGE:34	PO:0	OV:74
Justin Holl	AGE:32	PO:0	OV:73
Erik Johnson	AGE:36	PO:0	OV:72
Alexander Edler	AGE:37	PO:0	OV:70

Jakub Zboril	AGE:27	PO:0	OV:67
Nils Lundkvist	AGE:23	PO:0	OV:65
Ronnie Attard	AGE:25	PO:0	OV:62
Maxence Guenette	AGE:22	PO:0	OV:59
Brandt Clarke	AGE:21	PO:0	OV:58
Jacob Moverare	AGE:25	PO:0	OV:58
Sami Niku	AGE:27	PO:0	OV:55

Carter Hart	AGE:25	PO:0	OV:81
Logan Thompson	AGE:27	PO:0	OV:75
Alex Lyon	AGE:31	PO:0	OV:65
Drew Commesso (R)	AGE:22	PO:0	OV:45

Prospects

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Prospect	Team Name	Draft Year	Overall Pick
Arttu Karki	Philadelphia Flyers	2023	75
Jiri Felcman	Philadelphia Flyers	2023	116
Juraj Pekarcik	Philadelphia Flyers	2023	84

Draft Picks

Year	R1	R2	R3	R4
2024
2025
2026
2027
2028
Conditional Draft Picks

The STHS News Database File was not found or corrupted. Please create one from the League News Management or the STHS.

Philadelphia Flyers Trade History

[10/08/23 9:39:37 PM] - Team Name Change : Lehigh Valley Phantoms changed name to Lehigh Valley Phantoms
[08/16/23 12:12:05 PM] - TRADE : From Philadelphia Flyers to Calgary Flames : Sebastian Aho (78), Ivan Provorov (75), Adam Wilsby (55).
[08/16/23 12:12:05 PM] - TRADE : From Calgary Flames to Philadelphia Flyers : Boone Jenner (76), Blake Wheeler (75), Luke Schenn (74), Y:2024-RND:1-MTL, Y:2025-RND:1-MIN, Y:2025-RND:2-CGY.
[08/16/23 12:08:59 PM] - Lane Pederson was added to Philadelphia Flyers.
[08/16/23 12:08:48 PM] - Dominik Simon was released.
[08/16/23 12:08:48 PM] - Philadelphia Flyers paid $0 to release Dominik Simon.
[08/16/23 11:26:39 AM] - Linus Karlsson was added to Philadelphia Flyers.
[08/16/23 11:26:32 AM] - Ruslan Iskhakov was added to Philadelphia Flyers.
[08/16/23 11:26:24 AM] - Nils Aman was added to Philadelphia Flyers.
[08/16/23 11:26:18 AM] - Matej Blumel was added to Philadelphia Flyers.
[08/16/23 11:26:12 AM] - Maxence Guenette was added to Philadelphia Flyers.
[08/09/23 10:28:08 AM] - TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Justin Holl (73).
[08/09/23 10:28:08 AM] - TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Y:2024-RND:3-WPG, Y:2025-RND:4-PHI.
[07/27/23 8:03:30 PM] - TRADE : From New York Islanders to Philadelphia Flyers : Joe Pavelski (78), Erik Johnson (72).
[07/27/23 8:03:30 PM] - TRADE : From Philadelphia Flyers to New York Islanders : Y:2025-RND:1-PHI, Y:2024-RND:2-MTL.
[07/27/23 8:01:00 PM] - TRADE : From Philadelphia Flyers to Winnipeg Jets : Pavel Buchnevich (78), Vladislav Gavrikov (73).
[07/27/23 8:01:00 PM] - TRADE : From Winnipeg Jets to Philadelphia Flyers : Y:2024-RND:1-WPG, Y:2025-RND:1-WPG, Y:2024-RND:3-WPG.
[07/27/23 7:59:48 PM] - TRADE : From Philadelphia Flyers to Carolina Hurricanes : Travis Sanheim (73).
[07/27/23 7:59:48 PM] - TRADE : From Carolina Hurricanes to Philadelphia Flyers : Ronnie Attard (62), Y:2024-RND:1-CAR.
[07/27/23 7:58:04 PM] - TRADE : From Philadelphia Flyers to Colorado Avalanche : Adam Henrique (74).
[07/27/23 7:58:04 PM] - TRADE : From Colorado Avalanche to Philadelphia Flyers : Y:2024-RND:2-ARZ, Y:2024-RND:3-COL.
[07/23/23 8:46:22 PM] - TRADE : From Dallas Stars to Philadelphia Flyers : Y:2025-RND:1-DAL, Y:2025-RND:3-DAL.
[07/23/23 8:46:22 PM] - TRADE : From Philadelphia Flyers to Dallas Stars : Ryan Pulock (73).
[07/23/23 8:45:52 PM] - TRADE : From Montreal Canadiens to Philadelphia Flyers : Kirby Dach (73), Brandt Clarke (58), Y:2025-RND:1-MTL, Y:2024-RND:2-MTL.
[07/23/23 8:45:52 PM] - TRADE : From Philadelphia Flyers to Montreal Canadiens : Jack Hughes (81), Joel Farabee (70), Jonathan Quick (79).
[07/23/23 8:44:18 PM] - TRADE : From Philadelphia Flyers to Nashville Predators : Zach Hyman (77).
[07/23/23 8:44:18 PM] - TRADE : From Nashville Predators to Philadelphia Flyers : Y:2025-RND:1-NSH, Y:2025-RND:2-NSH.
[07/19/23 11:10:26 PM] - Ethan Gauthier was added to Philadelphia Flyers.
[07/19/23 11:09:15 PM] - TRADE : From Philadelphia Flyers to Seattle Kraken : Elias Pettersson (80), Andrei Svechnikov (76), Seth Jones (77).
[07/19/23 11:09:15 PM] - TRADE : From Seattle Kraken to Philadelphia Flyers : Alex Tuch (78), Adrian Kempe (77), Joel Eriksson Ek (76), Travis Sanheim (73), Hampus Lindholm (78), Ethan Gauthier (P), Y:2024-RND:2-SEA.
[07/19/23 11:05:35 PM] - Philadelphia Flyers drafts Jiri Felcman as the #116 overall pick in the Entry Draft of year 2023.
[07/16/23 12:16:30 AM] - Philadelphia Flyers drafts Juraj Pekarcik as the #84 overall pick in the Entry Draft of year 2023.
[07/16/23 12:15:24 AM] - Philadelphia Flyers drafts Arttu Karki as the #75 overall pick in the Entry Draft of year 2023.
[07/15/23 4:34:16 PM] - General Manager Change : Philadelphia Flyers hired general manager Kyle Liboiron
[07/15/23 4:34:16 PM] - General Manager Change : Philadelphia Flyers fired general manager Diego Adam
[05/29/23 11:29:26 PM] - Philadelphia Flyers was eliminated at round 3 of year 2022.
[05/12/23 10:51:31 PM] - Lehigh Valley Phantoms was eliminated at round 2 of year 2022.
[03/07/23 2:17:49 PM] - Jayden Halbgewachs was released.
[03/07/23 2:17:49 PM] - Philadelphia Flyers paid $0 to release Jayden Halbgewachs.
[03/07/23 2:12:57 PM] - TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Y:2023-RND:1-PHI.
[03/07/23 2:12:57 PM] - TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Zach Hyman (74).

[04/16/24 10:36:07 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[04/13/24 3:17:08 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[04/11/24 9:42:19 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[04/09/24 10:36:40 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[04/06/24 10:21:38 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[04/05/24 10:42:28 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[04/01/24 9:57:30 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[03/30/24 10:42:10 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased. But, Lehigh Valley Phantoms lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[03/25/24 11:45:26 PM] Last 7 Days Pro Star : 1 - Jamie Benn of St. Louis Blues (4-5-9) / 2 - Nathan MacKinnon of Philadelphia Flyers (5-2-7) / 3 - Dylan Larkin of New York Islanders (5-3-8)

No Injury or Suspension.

Philadelphia Flyers Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Philadelphia Flyers Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Philadelphia Flyers Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Philadelphia Flyers Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Philadelphia Flyers Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Philadelphia Flyers
	GP: 82 \| W: 58 \| L: 19 \| OTL: 5 \| P: 121 GF: 330 \| GA: 243 \| PP%: 25.53% \| PK%: 76.70% GM : Kyle Liboiron \| Morale : 60 \| Team Overall : 76