Login

Hartford Wolf Pack
GP: 4 | W: 1 | L: 2 | OTL: 1 | P: 3
GF: 6 | GA: 10 | PP%: 11.11% | PK%: 100.00%
GM : Jason Deblois | Morale : 60 | Team Overall : 56
Next Games #72 vs Grand Rapids Griffins
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Calgary Wranglers
3-1-0, 6pts
4
FINAL
1 Hartford Wolf Pack
1-2-1, 3pts
Team Stats
W2StreakSOL1
0-1-0Home Record1-1-0
3-0-0Away Record0-1-1
3-1-0Last 10 Games1-2-1
3.50Goals Per Game1.50
2.25Goals Against Per Game2.50
25.00%Power Play Percentage11.11%
66.67%Penalty Kill Percentage100.00%
Hartford Wolf Pack
1-2-1, 3pts
1
FINAL
2 San Diego Gulls
1-2-1, 3pts
Team Stats
SOL1StreakW1
1-1-0Home Record1-1-0
0-1-1Away Record0-1-1
1-2-1Last 10 Games1-2-1
1.50Goals Per Game1.75
2.50Goals Against Per Game2.75
11.11%Power Play Percentage0.00%
100.00%Penalty Kill Percentage85.71%
Grand Rapids Griffins
2-1-1, 5pts
2023-09-20
Hartford Wolf Pack
1-2-1, 3pts
Team Stats
W1StreakSOL1
2-0-0Home Record1-1-0
0-1-1Away Record0-1-1
2-1-1Last 10 Games1-2-1
4.50Goals Per Game1.50
4.00Goals Against Per Game1.50
25.00%Power Play Percentage11.11%
57.14%Penalty Kill Percentage100.00%
Hartford Wolf Pack
1-2-1, 3pts
2023-09-21
San Jose Barracuda
3-1-0, 6pts
Team Stats
SOL1StreakL1
1-1-0Home Record1-1-0
0-1-1Away Record2-0-0
1-2-1Last 10 Games3-1-0
1.50Goals Per Game5.25
2.50Goals Against Per Game5.25
11.11%Power Play Percentage20.00%
100.00%Penalty Kill Percentage77.78%
Hartford Wolf Pack
1-2-1, 3pts
2023-09-22
Rockford IceHogs
2-2-0, 4pts
Team Stats
SOL1StreakL1
1-1-0Home Record1-1-0
0-1-1Away Record1-1-0
1-2-1Last 10 Games2-2-0
1.50Goals Per Game3.75
2.50Goals Against Per Game3.75
11.11%Power Play Percentage14.29%
100.00%Penalty Kill Percentage70.00%
Team Leaders
Goals
Lucas Johansen
1
Assists
Kaedan Korczak
3
Points
Kaedan Korczak
3
Plus/Minus
Jakub Lauko
0
Wins
Nico Daws
1
Save Percentage
Nico Daws
0.908

Team Stats
Goals For
6
1.50 GFG
Shots For
138
34.50 Avg
Power Play Percentage
11.1%
1 GF
Offensive Zone Start
46.0%
Goals Against
10
2.50 GAA
Shots Against
98
24.50 Avg
Penalty Kill Percentage
100.0%%
0 GA
Defensive Zone Start
36.5%
Team Info

General ManagerJason Deblois
CoachAndre Tourigny
DivisionAtlantic
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance0
Season Tickets0


Roster Info

Pro Team19
Farm Team19
Contract Limit38 / 45
Prospects1


Filter Tips
PriorityTypeDescription
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
10textAny 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 TA SPAgeContractSalary
1Brett Howden8XX100.007458776877657862757165725462590606802511,500,000$
2Miles Wood17XX100.007058726574667859526962645466650606502813,200,000$
3Ondrej Kase0X100.006440846273686556516358646062580606202711,500,000$
4Jakub Lauko29X100.00616070596661605754605964545654060600231764,167$
5Tyler Tullio46X100.00515264565663615552535658515149060560211750,000$
6Chaz Lucius70X100.00525165525953535267525257514948060530201750,000$
7Isaac Howard (R)91X100.00454545454545454545454545454545060450194750,000$
8Fraser Minten (R)77X100.00454545454545454545454545454545060450194750,000$
9Kirill Dolzhenkov (R)80X100.00454545454545454545454545454545060450194750,000$
10Ty Voit0X100.00454545454545454545454545454545060450251750,000$
11Tyler Kleven26X100.00543875527168555138725067515155060600213916,667$
12Ty Emberson25X100.00555666586466645740575662545654060590231750,000$
13Kaedan Korczak23X100.00585367616765625640585563545553060590222789,167$
14Lucas Johansen76X100.00555468576263615640565561546257060580252762,500$
15Jack Peart (R)50X100.00454545454545454545454545454545060450204750,000$
Scratches
TEAM AVERAGE100.0055506254605857524956535751535206055
Filter Tips
PriorityTypeDescription
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
10textAny 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 TA SPAgeContractSalary
1Connor Ingram31100.0069717275777579747669795856060740263750,000$
2Nico Daws3398.0073676684668268616765845352060690221750,000$
3Keith Petruzzelli (R)34100.0055555574625465556357665854060590242750,000$
4Alexis Gravel (R)0100.0045454545454545454545454545060450231750,000$
Scratches
TEAM AVERAGE99.506160607063646459635969545206062
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Andre Tourigny75757575757575CAN4940$


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP 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 GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Kaedan KorczakHartford Wolf Pack (NYR)D4033-2004411130.00%68621.5401121000003000.00%000000.7000000000
2Lucas JohansenHartford Wolf Pack (NYR)D4123-1004112238.33%28822.0401141000003000.00%000000.6800000001
3Tyler TullioHartford Wolf Pack (NYR)RW4112-1203166316.67%05513.79000000000000100.00%100000.7300000000
4Chaz LuciusHartford Wolf Pack (NYR)C4022-100243050.00%05513.8000000000000060.00%6500000.7200000000
5Jakub LaukoHartford Wolf Pack (NYR)RW4011000914225150.00%36215.690000000001000.00%200000.3201000100
6Tyler KlevenHartford Wolf Pack (NYR)D4000-100575170.00%38120.460002400004000.00%000000.00%00000000
7Ty EmbersonHartford Wolf Pack (NYR)D4000-100526170.00%48220.590004400004000.00%000000.00%00000000
8Miles WoodHartford Wolf Pack (NYR)LW/RW1000-100015220.00%01818.28000000000000100.00%100000.00%00000000
9Jack PeartHartford Wolf Pack (NYR)D4000-200803100.00%26917.300000000000000.00%000000.00%00000000
10Isaac HowardHartford Wolf Pack (NYR)LW4000000103110.00%06015.1500000000000050.00%200000.00%00000000
11Fraser MintenHartford Wolf Pack (NYR)C4000-320450010.00%0317.8600000000000048.72%3900000.00%00000000
12Kirill DolzhenkovHartford Wolf Pack (NYR)RW4000-100701010.00%05513.8000000000000050.00%400000.00%00000000
Team Total or Average452911-144052397720482.60%2074616.5902212320000190055.26%11400000.2901000101
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Nico DawsHartford Wolf Pack (NYR)41210.9082.20245009980000.00%240010
Team Total or Average41210.9082.2024500998000240010


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Waiver Possible Contract Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Alexis GravelHartford Wolf Pack (NYR)G233/21/2000Yes222 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$No
Brett Howden (1 Way Contract)Hartford Wolf Pack (NYR)C/LW253/29/1998No203 Lbs6 ft2NoNoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$NoLink
Chaz LuciusHartford Wolf Pack (NYR)C205/2/2003No185 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$NoLink
Connor IngramHartford Wolf Pack (NYR)G263/31/1997No196 Lbs6 ft2NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Link
Fraser MintenHartford Wolf Pack (NYR)C197/5/2004 4:41:28 AMYes185 Lbs6 ft1NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$
Isaac HowardHartford Wolf Pack (NYR)LW193/30/2004 3:14:15 AMYes81 Lbs5 ft10NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$
Jack PeartHartford Wolf Pack (NYR)D205/15/2003 3:14:47 AMYes181 Lbs5 ft11NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$
Jakub LaukoHartford Wolf Pack (NYR)RW233/28/2000No196 Lbs6 ft0NoNoNoNo1Pro & Farm764,167$0$0$NoLink
Kaedan KorczakHartford Wolf Pack (NYR)D221/29/2001No202 Lbs6 ft3NoNoNoNo2Pro & Farm789,167$0$0$No789,167$Link
Keith PetruzzelliHartford Wolf Pack (NYR)G242/9/1999Yes185 Lbs6 ft5NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Link
Kirill DolzhenkovHartford Wolf Pack (NYR)RW194/20/2004 9:50:06 AMYes236 Lbs6 ft6NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$
Lucas JohansenHartford Wolf Pack (NYR)D2511/16/1997No176 Lbs6 ft2NoNoNoNo2Pro & Farm762,500$0$0$No762,500$Link
Miles Wood (1 Way Contract)Hartford Wolf Pack (NYR)LW/RW289/13/1995No195 Lbs6 ft2NoNoNoNo1Pro & Farm3,200,000$3,200,000$3,200,000$NoLink
Nico DawsHartford Wolf Pack (NYR)G2212/22/2000No205 Lbs6 ft4NoNoNoNo1Pro & Farm750,000$0$0$NoLink
Ondrej Kase (1 Way Contract)Hartford Wolf Pack (NYR)LW2711/8/1995No187 Lbs6 ft0NoNoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$NoLink
Ty EmbersonHartford Wolf Pack (NYR)D235/24/2000No194 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$NoLink
Ty VoitHartford Wolf Pack (NYR)RW258/16/1998 3:42:36 AMNo190 Lbs5 ft10NoNoNoNo1Pro & Farm750,000$0$0$No
Tyler KlevenHartford Wolf Pack (NYR)D211/10/2002No200 Lbs6 ft4NoNoNoNo3Pro & Farm916,667$0$0$No916,667$916,667$Link
Tyler TullioHartford Wolf Pack (NYR)RW214/5/2002No181 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1922.74189 Lbs6 ft22.00970,132$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
130122
2Isaac HowardJakub Lauko30122
3Kirill DolzhenkovChaz LuciusTyler Tullio25122
4Fraser Minten15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Lucas JohansenKaedan Korczak30122
2Ty EmbersonTyler Kleven30122
3Jack Peart25122
4Lucas JohansenKaedan Korczak15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Isaac HowardJakub Lauko40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Lucas JohansenKaedan Korczak60122
2Ty EmbersonTyler Kleven40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Jakub Lauko40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Lucas JohansenKaedan Korczak60122
2Ty EmbersonTyler Kleven40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Lucas JohansenKaedan Korczak60122
240122Ty EmbersonTyler Kleven40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Jakub Lauko40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Lucas JohansenKaedan Korczak60122
2Ty EmbersonTyler Kleven40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lucas JohansenKaedan Korczak
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Lucas JohansenKaedan Korczak
Extra Forwards
Normal PowerPlayPenalty Kill
Jakub Lauko, Tyler Tullio, Jakub Lauko, Jakub Lauko
Extra Defensemen
Normal PowerPlayPenalty Kill
Ty Emberson, Tyler Kleven, Jack PeartTy EmbersonTy Emberson, Tyler Kleven
Penalty Shots
, , , Jakub Lauko,
Goalie
#1 : Nico Daws, #2 :
Custom OT Lines Forwards
, , , Jakub Lauko, , Tyler Tullio, Tyler Tullio, Chaz Lucius, Kirill Dolzhenkov, Fraser Minten,
Custom OT Lines Defensemen
Lucas Johansen, Kaedan Korczak, Ty Emberson, Tyler Kleven, Jack Peart


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# 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
1Calgary Wranglers1010000014-31010000014-30000000000000.00012300311139504145430102223133.33%10100.00%07814553.79%5511547.83%275549.09%9667100294824
2Ontario Reign1010000023-1000000000001010000023-100.000235003111405041454225420300.00%20100.00%07814553.79%5511547.83%275549.09%9667100294824
3San Diego Gulls20001001330100010002111000000112-130.7503690031115950414544618436300.00%20100.00%07814553.79%5511547.83%275549.09%9667100294824
Total40201001610-42010100035-22010000135-230.375611170031111385041454983310789111.11%50100.00%07814553.79%5511547.83%275549.09%9667100294824
_Since Last GM Reset40201001610-42010100035-22010000135-230.375611170031111385041454983310789111.11%50100.00%07814553.79%5511547.83%275549.09%9667100294824

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
43SOL1611171389833107800
All Games
GPWLOTWOTL SOWSOLGFGA
4021001610
Home Games
GPWLOTWOTL SOWSOLGFGA
201100035
Visitor Games
GPWLOTWOTL SOWSOLGFGA
201000135
Last 10 Games
WLOTWOTL SOWSOL
120001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
9111.11%50100.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
50414543111
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
7814553.79%5511547.83%275549.09%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
9667100294824


Last Played Games
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2023-09-1512Hartford Wolf Pack2Ontario Reign3ALBoxScore
2 - 2023-09-1621San Diego Gulls1Hartford Wolf Pack2BWXBoxScore
4 - 2023-09-1839Calgary Wranglers4Hartford Wolf Pack1BLBoxScore
5 - 2023-09-1951Hartford Wolf Pack1San Diego Gulls2ALXXBoxScore
6 - 2023-09-2072Grand Rapids Griffins-Hartford Wolf Pack-
7 - 2023-09-2193Hartford Wolf Pack-San Jose Barracuda-
8 - 2023-09-22105Hartford Wolf Pack-Rockford IceHogs-
9 - 2023-09-23119Hartford Wolf Pack-Bakersfield Condors-
11 - 2023-09-25129Iowa Wild-Hartford Wolf Pack-
13 - 2023-09-27149Rockford IceHogs-Hartford Wolf Pack-
15 - 2023-09-29171Hartford Wolf Pack-Calgary Wranglers-
17 - 2023-10-01181Texas Stars-Hartford Wolf Pack-
19 - 2023-10-03199Bakersfield Condors-Hartford Wolf Pack-
22 - 2023-10-06225Colorado Eagles-Hartford Wolf Pack-
23 - 2023-10-07240Hartford Wolf Pack-Henderson Silver Knights-
24 - 2023-10-08254Hartford Wolf Pack-Coachella Valley Firebirds-
25 - 2023-10-09269San Jose Barracuda-Hartford Wolf Pack-
26 - 2023-10-10272Hartford Wolf Pack-Tucson Roadrunners-
27 - 2023-10-11291Hartford Wolf Pack-Iowa Wild-
28 - 2023-10-12305Hartford Wolf Pack-Colorado Eagles-
29 - 2023-10-13316Coachella Valley Firebirds-Hartford Wolf Pack-
31 - 2023-10-15338Hartford Wolf Pack-Grand Rapids Griffins-
32 - 2023-10-16354Manitoba Moose-Hartford Wolf Pack-
34 - 2023-10-18371Hartford Wolf Pack-Chicago Wolves-
35 - 2023-10-19380Tucson Roadrunners-Hartford Wolf Pack-
36 - 2023-10-20398Hartford Wolf Pack-Texas Stars-
Trade Deadline --- Trades can’t be done after this day is simulated!
37 - 2023-10-21409Ontario Reign-Hartford Wolf Pack-
38 - 2023-10-22433Milwaukee Admirals-Hartford Wolf Pack-
39 - 2023-10-23442Hartford Wolf Pack-Manitoba Moose-
41 - 2023-10-25470Chicago Wolves-Hartford Wolf Pack-
42 - 2023-10-26475Hartford Wolf Pack-Milwaukee Admirals-
46 - 2023-10-30508Henderson Silver Knights-Hartford Wolf Pack-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity45003500
Ticket Price350
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
14 0 - 0.00% 0$0$8000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,223,251$ 773,251$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 42 0$ 0$




Hartford Wolf Pack Players Stat Leaders (Regular Season)

# 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

Hartford Wolf Pack Goalies Stat Leaders (Regular Season)

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

Hartford Wolf Pack Career Team Stats

OverallHomeVisitor
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

Hartford Wolf Pack Players Stat Leaders (Play-Off)

# 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

Hartford Wolf Pack Goalies Stat Leaders (Play-Off)

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