Hartford Wolf Pack | |
GP: 66 | W: 29 | L: 31 | OTL: 6 | P: 64 GF: 249 | GA: 248 | PP%: 26.32% | PK%: 77.56% GM : Jason Deblois | Morale : 60 | Team Overall : 55 Next Games #1053 vs Syracuse Crunch |
|
|
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 | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nolan Patrick | 0 | X | X | 100.00 | 66 | 38 | 85 | 56 | 71 | 60 | 65 | 57 | 70 | 67 | 56 | 62 | 55 | 58 | 55 | 0 | 60 | 61 | 0 | 25 | 1 | 750,000$ | |||
2 | Jakub Lauko | 29 | X | 100.00 | 61 | 60 | 70 | 59 | 66 | 61 | 60 | 57 | 54 | 60 | 59 | 64 | 54 | 56 | 54 | 0 | 60 | 60 | 0 | 23 | 1 | 764,167$ | ||||
3 | Tyler Tullio | 46 | X | 100.00 | 51 | 52 | 64 | 56 | 56 | 63 | 61 | 55 | 52 | 53 | 56 | 58 | 51 | 51 | 49 | 0 | 60 | 56 | 0 | 21 | 1 | 750,000$ | ||||
4 | Chaz Lucius | 70 | X | 100.00 | 52 | 51 | 65 | 52 | 59 | 53 | 53 | 52 | 67 | 52 | 52 | 57 | 51 | 49 | 48 | 0 | 60 | 53 | 0 | 20 | 1 | 750,000$ | ||||
5 | Isaac Howard (R) | 91 | 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$ | ||||
6 | Fraser Minten (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$ | ||||
7 | Kirill Dolzhenkov (R) | 80 | 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$ | ||||
8 | Ty Voit | 0 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 25 | 1 | 750,000$ | ||||
9 | Tyler Kleven | 26 | X | 100.00 | 54 | 38 | 75 | 52 | 71 | 68 | 55 | 51 | 38 | 72 | 50 | 67 | 51 | 51 | 55 | 0 | 60 | 60 | 0 | 22 | 3 | 916,667$ | ||||
10 | Ty Emberson | 25 | X | 100.00 | 55 | 56 | 66 | 58 | 64 | 66 | 64 | 57 | 40 | 57 | 56 | 62 | 54 | 56 | 54 | 0 | 60 | 59 | 0 | 23 | 1 | 750,000$ | ||||
11 | Kaedan Korczak | 23 | X | 100.00 | 58 | 53 | 67 | 61 | 67 | 65 | 62 | 56 | 40 | 58 | 55 | 63 | 54 | 55 | 53 | 0 | 60 | 59 | 0 | 23 | 2 | 789,167$ | ||||
12 | Lucas Johansen | 76 | X | 100.00 | 55 | 54 | 68 | 57 | 62 | 63 | 61 | 56 | 40 | 56 | 55 | 61 | 54 | 62 | 57 | 0 | 60 | 58 | 0 | 26 | 2 | 762,500$ | ||||
13 | Jack Peart (R) | 50 | 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$ | ||||
Scratches | ||||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 52 | 48 | 60 | 52 | 57 | 56 | 54 | 51 | 48 | 54 | 51 | 55 | 50 | 51 | 50 | 0 | 60 | 53 |
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 | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Laurent Brossoit | 1 | 100.00 | 71 | 63 | 63 | 78 | 79 | 73 | 74 | 66 | 72 | 60 | 74 | 65 | 58 | 0 | 60 | 70 | 0 | 30 | 1 | 2,325,000$ | |
2 | Nico Daws | 33 | 100.00 | 73 | 67 | 66 | 84 | 66 | 82 | 68 | 61 | 67 | 65 | 84 | 53 | 52 | 0 | 60 | 69 | 0 | 23 | 1 | 750,000$ | |
3 | Keith Petruzzelli (R) | 34 | 100.00 | 55 | 55 | 55 | 74 | 62 | 54 | 65 | 55 | 63 | 57 | 66 | 58 | 54 | 0 | 60 | 59 | 0 | 25 | 2 | 750,000$ | |
Scratches | ||||||||||||||||||||||||
1 | Alexis Gravel (R) | 0 | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 23 | 1 | 750,000$ | |
TEAM AVERAGE | 100.00 | 61 | 58 | 57 | 70 | 63 | 64 | 63 | 57 | 62 | 57 | 67 | 55 | 52 | 0 | 60 | 61 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Andre Tourigny | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 49 | 4 | 0$ |
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 | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ty Emberson | Hartford Wolf Pack (NYR) | D | 66 | 13 | 41 | 54 | -4 | 24 | 0 | 135 | 92 | 151 | 50 | 116 | 8.61% | 80 | 1255 | 19.03 | 6 | 8 | 14 | 70 | 117 | 0 | 0 | 0 | 1 | 116 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.86 | 1 | 2 | 0 | 0 | 0 | 5 | 4 | 4 |
2 | Kaedan Korczak | Hartford Wolf Pack (NYR) | D | 66 | 17 | 33 | 50 | -10 | 30 | 0 | 141 | 99 | 143 | 52 | 106 | 11.89% | 121 | 1393 | 21.11 | 9 | 8 | 17 | 72 | 130 | 0 | 0 | 0 | 0 | 113 | 1 | 0 | 0% | 0 | 0 | 0 | 1 | 0 | 0.72 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 7 |
3 | Lucas Johansen | Hartford Wolf Pack (NYR) | D | 66 | 10 | 39 | 49 | -6 | 14 | 0 | 121 | 113 | 141 | 36 | 98 | 7.09% | 92 | 1410 | 21.37 | 6 | 12 | 18 | 66 | 132 | 0 | 0 | 0 | 1 | 123 | 3 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 |
4 | Jakub Lauko | Hartford Wolf Pack (NYR) | RW | 66 | 35 | 12 | 47 | 8 | 41 | 15 | 124 | 145 | 276 | 76 | 187 | 12.68% | 29 | 1044 | 15.82 | 0 | 0 | 0 | 5 | 9 | 0 | 0 | 0 | 1 | 34 | 1 | 2 | 57.50% | 80 | 0 | 0 | 0 | 1 | 0.90 | 1 | 3 | 0 | 0 | 3 | 9 | 3 | 4 |
5 | Tyler Tullio | Hartford Wolf Pack (NYR) | RW | 66 | 18 | 22 | 40 | -21 | 18 | 0 | 58 | 88 | 230 | 39 | 163 | 7.83% | 9 | 838 | 12.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 66 | 0 | 0 | 0 | 1 | 0.95 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 |
6 | Tyler Kleven | Hartford Wolf Pack (NYR) | D | 51 | 4 | 25 | 29 | -9 | 18 | 0 | 59 | 67 | 61 | 28 | 50 | 6.56% | 79 | 968 | 18.99 | 4 | 4 | 8 | 39 | 93 | 0 | 0 | 0 | 0 | 104 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 1 |
7 | Chaz Lucius | Hartford Wolf Pack (NYR) | C | 53 | 8 | 12 | 20 | -28 | 8 | 0 | 48 | 126 | 102 | 21 | 74 | 7.84% | 10 | 654 | 12.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59.00% | 878 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 |
8 | Isaac Howard | Hartford Wolf Pack (NYR) | LW | 66 | 3 | 12 | 15 | 7 | 16 | 0 | 89 | 23 | 31 | 22 | 22 | 9.68% | 4 | 1007 | 15.27 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 41.98% | 81 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 |
9 | Kirill Dolzhenkov | Hartford Wolf Pack (NYR) | RW | 66 | 6 | 4 | 10 | -21 | 28 | 0 | 70 | 27 | 37 | 6 | 21 | 16.22% | 5 | 835 | 12.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 44.16% | 77 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
10 | Fraser Minten | Hartford Wolf Pack (NYR) | C | 66 | 3 | 5 | 8 | 5 | 16 | 0 | 70 | 52 | 36 | 8 | 24 | 8.33% | 4 | 501 | 7.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 40.30% | 598 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
Team Total or Average | 632 | 117 | 205 | 322 | -79 | 213 | 15 | 915 | 832 | 1208 | 338 | 861 | 9.69% | 433 | 9910 | 15.68 | 25 | 32 | 57 | 252 | 491 | 0 | 0 | 0 | 3 | 494 | 7 | 3 | 50.90% | 1780 | 0 | 0 | 1 | 2 | 0.65 | 2 | 5 | 0 | 0 | 3 | 27 | 32 | 28 |
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 | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|
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 | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contrat Signature Date | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexis Gravel | Hartford Wolf Pack (NYR) | G | 23 | 03/21/00 | Yes | 222 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Chaz Lucius | Hartford Wolf Pack (NYR) | C | 20 | 05/02/03 | No | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Fraser Minten | Hartford Wolf Pack (NYR) | C | 19 | 07/05/04 4:41:28 AM | Yes | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Isaac Howard | Hartford Wolf Pack (NYR) | LW | 19 | 03/30/04 3:14:15 AM | Yes | 81 Lbs | 5 ft10 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Jack Peart | Hartford Wolf Pack (NYR) | D | 20 | 05/15/03 3:14:47 AM | Yes | 181 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Jakub Lauko | Hartford Wolf Pack (NYR) | RW | 23 | 03/28/00 | No | 196 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 764,167$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Kaedan Korczak | Hartford Wolf Pack (NYR) | D | 23 | 01/29/01 | No | 202 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro & Farm | 789,167$ | 0$ | 0$ | No | 789,167$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Keith Petruzzelli | Hartford Wolf Pack (NYR) | G | 25 | 02/09/99 | Yes | 185 Lbs | 6 ft5 | No | No | N/A | No | No | 2 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Kirill Dolzhenkov | Hartford Wolf Pack (NYR) | RW | 19 | 04/20/04 9:50:06 AM | Yes | 236 Lbs | 6 ft6 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Laurent Brossoit (1 Way Contract) | Hartford Wolf Pack (NYR) | G | 30 | 03/23/93 | No | 215 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro & Farm | 2,325,000$ | 2,325,000$ | 375,391$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Lucas Johansen | Hartford Wolf Pack (NYR) | D | 26 | 11/16/97 | No | 176 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 762,500$ | 0$ | 0$ | No | 762,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Nico Daws | Hartford Wolf Pack (NYR) | G | 23 | 12/22/00 | No | 205 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Nolan Patrick | Hartford Wolf Pack (NYR) | C/RW | 25 | 09/19/98 | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Ty Emberson | Hartford Wolf Pack (NYR) | D | 23 | 05/24/00 | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Ty Voit | Hartford Wolf Pack (NYR) | RW | 25 | 08/16/98 3:42:36 AM | No | 190 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Tyler Kleven | Hartford Wolf Pack (NYR) | D | 22 | 01/10/02 | No | 200 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | Pro & Farm | 916,667$ | 0$ | 0$ | No | 916,667$ | 916,667$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Tyler Tullio | Hartford Wolf Pack (NYR) | RW | 21 | 04/05/02 | No | 181 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
17 | 22.71 | 190 Lbs | 6 ft2 | 2.00 | 856,324$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 30 | 1 | 2 | 2 | |||
2 | Isaac Howard | Jakub Lauko | 30 | 1 | 2 | 2 | |
3 | Kirill Dolzhenkov | Tyler Tullio | 25 | 1 | 2 | 2 | |
4 | Fraser Minten | 15 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Lucas Johansen | Kaedan Korczak | 30 | 1 | 2 | 2 | |
2 | Ty Emberson | 30 | 1 | 2 | 2 | ||
3 | 25 | 1 | 2 | 2 | |||
4 | Lucas Johansen | Kaedan Korczak | 15 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | Isaac Howard | Jakub Lauko | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Lucas Johansen | Kaedan Korczak | 60 | 1 | 2 | 2 | |
2 | Ty Emberson | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Jakub Lauko | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Lucas Johansen | Kaedan Korczak | 60 | 1 | 2 | 2 |
2 | Ty Emberson | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | Lucas Johansen | Kaedan Korczak | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 | Ty Emberson | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Jakub Lauko | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Lucas Johansen | Kaedan Korczak | 60 | 1 | 2 | 2 |
2 | Ty Emberson | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Lucas Johansen | Kaedan Korczak |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Lucas Johansen | Kaedan Korczak |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jakub Lauko, Tyler Tullio, | Jakub Lauko, | Jakub Lauko |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Ty Emberson, , | Ty Emberson | Ty Emberson, |
Penalty Shots |
---|
, , , Jakub Lauko, |
Goalie |
---|
#1 : , #2 : |
Custom OT Lines Forwards |
---|
, , , Jakub Lauko, , Tyler Tullio, Tyler Tullio, , Kirill Dolzhenkov, Fraser Minten, |
Custom OT Lines Defensemen |
---|
Lucas Johansen, Kaedan Korczak, Ty Emberson, , |
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 | Abbotsford Canucks | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 9 | 15 | 24 | 0 | 0 | 93 | 78 | 73 | 6 | 106 | 835 | 814 | 934 | 31 | 92 | 17 | 16 | 78 | 7 | 1 | 14.29% | 9 | 6 | 33.33% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
2 | Bakersfield Condors | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 93 | 78 | 73 | 6 | 41 | 835 | 814 | 934 | 31 | 32 | 7 | 6 | 29 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
3 | Belleville Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 10 | 15 | 1 | 0 | 93 | 78 | 73 | 6 | 36 | 835 | 814 | 934 | 31 | 46 | 12 | 4 | 29 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
4 | Bridgeport Islanders | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 13 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.250 | 11 | 20 | 31 | 1 | 0 | 93 | 78 | 73 | 6 | 151 | 835 | 814 | 934 | 31 | 104 | 32 | 20 | 108 | 12 | 2 | 16.67% | 11 | 1 | 90.91% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
5 | Calgary Wranglers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 93 | 78 | 73 | 6 | 33 | 835 | 814 | 934 | 31 | 35 | 12 | 10 | 21 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
6 | Charlotte Checkers | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 22 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.200 | 18 | 31 | 49 | 0 | 0 | 93 | 78 | 73 | 6 | 188 | 835 | 814 | 934 | 31 | 224 | 53 | 14 | 123 | 11 | 6 | 54.55% | 7 | 1 | 85.71% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
7 | Chicago Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 93 | 78 | 73 | 6 | 27 | 835 | 814 | 934 | 31 | 35 | 6 | 10 | 23 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
8 | Cleveland Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 93 | 78 | 73 | 6 | 89 | 835 | 814 | 934 | 31 | 68 | 24 | 8 | 51 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
9 | Coachella Valley Firebirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 93 | 78 | 73 | 6 | 46 | 835 | 814 | 934 | 31 | 32 | 11 | 6 | 25 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
10 | Colorado Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 93 | 78 | 73 | 6 | 45 | 835 | 814 | 934 | 31 | 31 | 4 | 4 | 23 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
11 | Grand Rapids Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 93 | 78 | 73 | 6 | 30 | 835 | 814 | 934 | 31 | 40 | 16 | 4 | 29 | 0 | 0 | 0% | 1 | 0 | 100.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
12 | Henderson Silver Knights | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 93 | 78 | 73 | 6 | 30 | 835 | 814 | 934 | 31 | 49 | 8 | 8 | 25 | 1 | 1 | 100.00% | 4 | 2 | 50.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
13 | Hershey Bears | 6 | 3 | 2 | 0 | 1 | 0 | 0 | 0 | 22 | 20 | 2 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 7 | 9 | -2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 8 | 0.667 | 22 | 41 | 63 | 0 | 0 | 93 | 78 | 73 | 6 | 266 | 835 | 814 | 934 | 31 | 154 | 44 | 30 | 139 | 15 | 3 | 20.00% | 14 | 5 | 64.29% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
14 | Iowa Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 93 | 78 | 73 | 6 | 28 | 835 | 814 | 934 | 31 | 57 | 19 | 15 | 38 | 0 | 0 | 0% | 5 | 1 | 80.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
15 | Laval Rocket | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 0.500 | 9 | 18 | 27 | 0 | 0 | 93 | 78 | 73 | 6 | 79 | 835 | 814 | 934 | 31 | 92 | 19 | 10 | 46 | 7 | 1 | 14.29% | 5 | 2 | 60.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
16 | Lehigh Valley Phantoms | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 19 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 11 | 2 | 4 | 0.500 | 19 | 37 | 56 | 0 | 0 | 93 | 78 | 73 | 6 | 181 | 835 | 814 | 934 | 31 | 142 | 41 | 24 | 82 | 10 | 3 | 30.00% | 11 | 4 | 63.64% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
17 | Manitoba Moose | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 93 | 78 | 73 | 6 | 22 | 835 | 814 | 934 | 31 | 32 | 14 | 6 | 17 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
18 | Milwaukee Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 93 | 78 | 73 | 6 | 35 | 835 | 814 | 934 | 31 | 42 | 13 | 2 | 26 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
19 | Ontario Reign | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0.500 | 5 | 8 | 13 | 0 | 0 | 93 | 78 | 73 | 6 | 47 | 835 | 814 | 934 | 31 | 57 | 17 | 2 | 32 | 2 | 1 | 50.00% | 1 | 1 | 0.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
20 | Providence Bruins | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 10 | 14 | -4 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 5 | 5 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 3 | 0.375 | 10 | 18 | 28 | 0 | 0 | 93 | 78 | 73 | 6 | 151 | 835 | 814 | 934 | 31 | 136 | 44 | 19 | 99 | 9 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
21 | Rochester Americans | 4 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 13 | 10 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 12 | 8 | 4 | 6 | 0.750 | 13 | 24 | 37 | 0 | 0 | 93 | 78 | 73 | 6 | 119 | 835 | 814 | 934 | 31 | 135 | 40 | 27 | 88 | 5 | 1 | 20.00% | 11 | 2 | 81.82% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
22 | Rockford IceHogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 7 | 14 | 21 | 0 | 0 | 93 | 78 | 73 | 6 | 50 | 835 | 814 | 934 | 31 | 37 | 18 | 6 | 25 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
23 | San Diego Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 93 | 78 | 73 | 6 | 29 | 835 | 814 | 934 | 31 | 32 | 8 | 10 | 25 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
24 | San Jose Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 93 | 78 | 73 | 6 | 50 | 835 | 814 | 934 | 31 | 30 | 3 | 6 | 28 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
25 | Springfield Thunderbirds | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 13 | 16 | -3 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 10 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 3 | 0.375 | 13 | 26 | 39 | 0 | 0 | 93 | 78 | 73 | 6 | 140 | 835 | 814 | 934 | 31 | 150 | 29 | 10 | 87 | 15 | 3 | 20.00% | 6 | 1 | 83.33% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
26 | Syracuse Crunch | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 93 | 78 | 73 | 6 | 69 | 835 | 814 | 934 | 31 | 75 | 30 | 14 | 42 | 2 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
27 | Texas Stars | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 93 | 78 | 73 | 6 | 49 | 835 | 814 | 934 | 31 | 43 | 12 | 6 | 34 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
28 | Toronto Marlies | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 12 | 21 | 33 | 0 | 0 | 93 | 78 | 73 | 6 | 84 | 835 | 814 | 934 | 31 | 101 | 30 | 18 | 53 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
29 | Tucson Roadrunners | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 8 | 14 | 22 | 0 | 0 | 93 | 78 | 73 | 6 | 72 | 835 | 814 | 934 | 31 | 25 | 7 | 4 | 25 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
30 | Utica Comets | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 13 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 4 | 0.667 | 14 | 26 | 40 | 0 | 0 | 93 | 78 | 73 | 6 | 129 | 835 | 814 | 934 | 31 | 173 | 42 | 22 | 98 | 7 | 4 | 57.14% | 10 | 0 | 100.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
31 | Wilkes Barre Scranton Penguins | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 21 | 17 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 7 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 5 | 0.625 | 21 | 40 | 61 | 0 | 0 | 93 | 78 | 73 | 6 | 184 | 835 | 814 | 934 | 31 | 147 | 59 | 4 | 111 | 9 | 5 | 55.56% | 1 | 1 | 0.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
Total | 66 | 24 | 31 | 0 | 4 | 4 | 1 | 2 | 249 | 248 | 1 | 32 | 12 | 13 | 0 | 3 | 3 | 0 | 1 | 126 | 114 | 12 | 34 | 12 | 18 | 0 | 1 | 1 | 1 | 1 | 123 | 134 | -11 | 64 | 0.485 | 249 | 463 | 712 | 3 | 1 | 93 | 78 | 73 | 6 | 2606 | 835 | 814 | 934 | 31 | 2448 | 691 | 345 | 1659 | 152 | 40 | 26.32% | 156 | 35 | 77.56% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 | |
_Since Last GM Reset | 66 | 24 | 31 | 0 | 4 | 4 | 1 | 2 | 249 | 248 | 1 | 32 | 12 | 13 | 0 | 3 | 3 | 0 | 1 | 126 | 114 | 12 | 34 | 12 | 18 | 0 | 1 | 1 | 1 | 1 | 123 | 134 | -11 | 64 | 0.485 | 249 | 463 | 712 | 3 | 1 | 93 | 78 | 73 | 6 | 2606 | 835 | 814 | 934 | 31 | 2448 | 691 | 345 | 1659 | 152 | 40 | 26.32% | 156 | 35 | 77.56% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 | |
_Vs Conference | 50 | 17 | 26 | 0 | 3 | 2 | 1 | 1 | 189 | 196 | -7 | 24 | 7 | 12 | 0 | 2 | 2 | 0 | 1 | 89 | 91 | -2 | 26 | 10 | 14 | 0 | 1 | 0 | 1 | 0 | 100 | 105 | -5 | 45 | 0.450 | 189 | 351 | 540 | 2 | 0 | 93 | 78 | 73 | 6 | 1972 | 835 | 814 | 934 | 31 | 1839 | 516 | 240 | 1234 | 118 | 30 | 25.42% | 112 | 28 | 75.00% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 | |
_Vs Division | 45 | 10 | 16 | 0 | 2 | 2 | 0 | 1 | 171 | 175 | -4 | 20 | 3 | 7 | 0 | 2 | 2 | 0 | 1 | 75 | 71 | 4 | 25 | 7 | 9 | 0 | 0 | 0 | 0 | 0 | 96 | 104 | -8 | 27 | 0.300 | 171 | 317 | 488 | 2 | 0 | 93 | 78 | 73 | 6 | 1783 | 835 | 814 | 934 | 31 | 1672 | 492 | 228 | 1121 | 99 | 27 | 27.27% | 103 | 22 | 78.64% | 0 | 1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% | 1615 | 1146 | 1536 | 462 | 840 | 420 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
66 | 64 | W1 | 249 | 463 | 712 | 2606 | 2448 | 691 | 345 | 1659 | 3 | 1 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
66 | 24 | 31 | 4 | 4 | 1 | 2 | 249 | 248 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
32 | 12 | 13 | 3 | 3 | 0 | 1 | 126 | 114 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
34 | 12 | 18 | 1 | 1 | 1 | 1 | 123 | 134 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 4 | 0 | 0 | 0 | 1 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
152 | 40 | 26.32% | 156 | 35 | 77.56% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
835 | 814 | 934 | 31 | 93 | 78 | 73 | 6 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
1170 | 2407 | 48.61% | 1084 | 2341 | 46.30% | 535 | 1094 | 48.90% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
1615 | 1146 | 1536 | 462 | 840 | 420 |
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 |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 4500 | 3500 |
Ticket Price | 35 | 0 |
Attendance | 140,442 | 109,292 |
Attendance PCT | 97.53% | 97.58% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
2 | 7804 - 97.55% | 153,608$ | 4,915,470$ | 8000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
1,106,595$ | 1,223,251$ | 848,251$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 1,106,595$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
307,217$ | 16 | 6,911$ | 110,576$ |
# | 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 |
---|
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|
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 |
# | 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 |
---|
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|