![]() | Syracuse Crunch 43-28-11, 97pts · 9th in Conference 1 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ben Jones | 0 | C | 100.00 | 70 | 48 | 74 | 73 | 71 | 73 | 71 | 66 | 55 | 61 | 60 | 64 | 67 | 60 | 53 | 1 | 50 | 64 | 26 | 1,800,000$/4yrs | |||
Garrett Pilon | 0 | C | 100.00 | 58 | 45 | 67 | 66 | 63 | 68 | 66 | 64 | 56 | 65 | 57 | 60 | 63 | 55 | 51 | 1 | 50 | 61 | 27 | 1,250,000$/3yrs | |||
Liam Foudy | 0 | C/LW/RW | 100.00 | 58 | 42 | 75 | 65 | 65 | 69 | 66 | 65 | 48 | 60 | 60 | 55 | 63 | 65 | 51 | 1 | 50 | 61 | 25 | 1,250,000$/3yrs | |||
Dylan Gambrell | 0 | C | 100.00 | 56 | 43 | 69 | 65 | 63 | 70 | 69 | 63 | 56 | 59 | 58 | 55 | 62 | 75 | 52 | 1 | 50 | 60 | 28 | 1,700,000$/4yrs | |||
Ty Mueller (R) | 0 | C | 100.00 | 62 | 41 | 67 | 67 | 61 | 62 | 61 | 62 | 55 | 62 | 57 | 64 | 62 | 50 | 50 | 1 | 50 | 60 | 22 | 870,000$/2yrs | |||
Callahan Burke | 0 | C | 100.00 | 55 | 41 | 73 | 66 | 60 | 69 | 68 | 62 | 43 | 57 | 57 | 55 | 62 | 57 | 50 | 1 | 50 | 59 | 28 | 2,100,000$/4yrs | |||
Xavier Simoneau | 0 | C | 100.00 | 58 | 57 | 56 | 67 | 57 | 65 | 63 | 61 | 60 | 62 | 53 | 60 | 60 | 52 | 50 | 1 | 50 | 59 | 24 | 975,000$/1yrs | |||
Jake Leschyshyn | 0 | C | 100.00 | 56 | 43 | 69 | 64 | 64 | 68 | 66 | 61 | 46 | 56 | 56 | 52 | 60 | 58 | 50 | 1 | 50 | 58 | 26 | 1,200,000$/2yrs | |||
Joel Teasdale (R) | 0 | LW | 100.00 | 59 | 44 | 68 | 61 | 65 | 67 | 66 | 61 | 42 | 55 | 55 | 55 | 59 | 54 | 50 | 1 | 50 | 58 | 26 | 975,000$/1yrs | |||
Carson Meyer | 0 | LW/RW | 100.00 | 56 | 44 | 67 | 65 | 61 | 66 | 64 | 62 | 43 | 58 | 56 | 54 | 61 | 55 | 50 | 1 | 50 | 58 | 27 | 2,600,000$/4yrs | |||
Tyce Thompson | 0 | RW | 100.00 | 53 | 55 | 58 | 64 | 60 | 66 | 65 | 61 | 43 | 59 | 53 | 50 | 59 | 53 | 50 | 1 | 50 | 57 | 25 | 1,700,000$/4yrs | |||
Nick Swaney | 0 | RW | 100.00 | 55 | 41 | 72 | 65 | 59 | 66 | 64 | 59 | 42 | 55 | 54 | 54 | 60 | 55 | 50 | 1 | 50 | 57 | 27 | 2,600,000$/4yrs | |||
Christian Wolanin | 0 | D | 100.00 | 58 | 43 | 68 | 66 | 63 | 71 | 69 | 65 | 40 | 65 | 55 | 69 | 62 | 63 | 53 | 1 | 50 | 63 | 30 | 1,700,000$/4yrs | |||
Yan Kuznetsov | 0 | D | 100.00 | 69 | 42 | 69 | 65 | 73 | 65 | 64 | 63 | 40 | 58 | 56 | 68 | 61 | 51 | 50 | 1 | 50 | 63 | 23 | 1,500,000$/4yrs | |||
Ben Harpur | 0 | D | 100.00 | 66 | 44 | 67 | 59 | 76 | 69 | 67 | 58 | 40 | 52 | 53 | 64 | 56 | 80 | 55 | 1 | 50 | 62 | 30 | 1,600,000$/1yrs | |||
Daemon Hunt | 0 | D | 100.00 | 61 | 42 | 71 | 66 | 65 | 64 | 62 | 62 | 40 | 60 | 53 | 63 | 60 | 51 | 50 | 1 | 50 | 61 | 23 | 975,000$/1yrs | |||
Gavin White | 0 | D | 100.00 | 61 | 40 | 72 | 66 | 63 | 63 | 61 | 59 | 40 | 55 | 53 | 65 | 59 | 50 | 50 | 1 | 50 | 60 | 22 | 975,000$/2yrs | |||
Jakub Dvorak (R) | 0 | D | 100.00 | 62 | 41 | 65 | 58 | 67 | 58 | 56 | 57 | 40 | 54 | 53 | 59 | 56 | 50 | 50 | 1 | 50 | 57 | 20 | 870,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Coulson Pitre (R) | 0 | RW | 100.00 | 57 | 41 | 68 | 62 | 59 | 58 | 57 | 59 | 41 | 58 | 54 | 54 | 58 | 50 | 50 | 1 | 50 | 56 | 20 | 860,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Halverson | 0 | 100.00 | 72 | 66 | 68 | 71 | 70 | 71 | 72 | 71 | 71 | 70 | 67 | 59 | 52 | 1 | 50 | 64 | 29 | 1,200,000$/4yrs |
Clay Stevenson | 0 | 100.00 | 73 | 65 | 69 | 66 | 70 | 70 | 72 | 70 | 71 | 71 | 58 | 54 | 50 | 1 | 50 | 64 | 26 | 975,000$/1yrs |
| Scratches | ||||||||||||||||||||
Pavel Cajan | 0 | 100.00 | 67 | 56 | 56 | 62 | 62 | 62 | 64 | 60 | 64 | 61 | 55 | 50 | 50 | 1 | 50 | 57 | 22 | 1,200,000$/4yrs |
Garret Sparks | 0 | 100.00 | 52 | 54 | 48 | 57 | 51 | 47 | 47 | 45 | 47 | 51 | 53 | 65 | 55 | 1 | 50 | 47 | 32 | 3,300,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Pascal Vincent | 78 | 74 | 74 | 79 | 76 | 60 | 1 | CAN | 53 | 1 | 350,000$ |
| General Manager |
|---|
| 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 | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ben Jones | Crunch (TAM) | C | 59 | 21 | 37 | 58 | 1 | 11 | 5 | 84 | 131 | 51 | 89 | 16.03% | 23 | 22.60 | 6 | 14 | 20 | 0 | 1 | 1 | 104 | 5 | 2 | 50.84% | 1 | 1 | 0.98 | 4 | 8 | 0.88 | |||
| 2 | Liam Foudy | Crunch (TAM) | C/LW/RW | 82 | 26 | 32 | 58 | -10 | 24 | 0 | 124 | 177 | 62 | 120 | 14.69% | 38 | 22.39 | 7 | 13 | 20 | 1 | 0 | 1 | 114 | 6 | 2 | 44.35% | 1 | 1 | 0.71 | 1 | 8 | 0.63 | |||
| 3 | Carson Meyer | Crunch (TAM) | LW/RW | 77 | 31 | 15 | 46 | -1 | 47 | 15 | 123 | 148 | 36 | 80 | 20.95% | 21 | 21.20 | 8 | 4 | 12 | 0 | 1 | 1 | 48 | 8 | 2 | 48.15% | 0 | 1 | 0.60 | 0 | 1 | 0.52 | |||
| 4 | Garrett Pilon | Crunch (TAM) | C | 82 | 17 | 25 | 42 | -3 | 33 | 5 | 110 | 113 | 37 | 90 | 15.04% | 19 | 19.17 | 3 | 6 | 9 | 1 | 1 | 2 | 68 | 7 | 2 | 50.87% | 0 | 0 | 0.51 | 1 | 6 | 0.42 | |||
| 5 | Christian Wolanin | Crunch (TAM) | D | 82 | 2 | 24 | 26 | -12 | 41 | 5 | 68 | 91 | 41 | 46 | 2.20% | 92 | 24.86 | 1 | 6 | 7 | 0 | 0 | 0 | 144 | 0 | 0 | 0.00% | 0 | 0 | 0.32 | 1 | 1 | 0.22 | |||
| 6 | Xavier Simoneau | Crunch (TAM) | C | 82 | 12 | 13 | 25 | 3 | 33 | 5 | 98 | 72 | 24 | 45 | 16.67% | 9 | 14.93 | 5 | 5 | 10 | 0 | 0 | 0 | 5 | 0 | 0 | 51.72% | 1 | 0 | 0.30 | 0 | 1 | 0.25 | |||
| 7 | Joel Teasdale | Crunch (TAM) | LW | 70 | 9 | 11 | 20 | -3 | 14 | 0 | 97 | 84 | 23 | 35 | 10.71% | 9 | 19.27 | 3 | 2 | 5 | 1 | 0 | 1 | 72 | 1 | 0 | 54.84% | 0 | 0 | 0.29 | 0 | 0 | 0.27 | |||
| 8 | Yan Kuznetsov | Crunch (TAM) | D | 59 | 3 | 15 | 18 | -1 | 30 | 10 | 63 | 61 | 28 | 20 | 4.92% | 57 | 24.24 | 1 | 3 | 4 | 0 | 0 | 0 | 108 | 0 | 0 | 0.00% | 0 | 0 | 0.31 | 0 | 1 | 0.24 | |||
| 9 | Dylan Gambrell | Crunch (TAM) | C | 82 | 6 | 10 | 16 | -1 | 20 | 0 | 81 | 66 | 21 | 40 | 9.09% | 12 | 13.40 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 53.48% | 0 | 0 | 0.20 | 1 | 3 | 0.17 | |||
| 10 | Ty Mueller | Crunch (TAM) | C | 82 | 6 | 5 | 11 | -7 | 14 | 0 | 61 | 52 | 21 | 30 | 11.54% | 5 | 8.48 | 1 | 0 | 1 | 1 | 0 | 1 | 23 | 1 | 0 | 48.75% | 0 | 0 | 0.13 | 0 | 2 | 0.10 | |||
| 11 | Callahan Burke | Crunch (TAM) | C | 77 | 8 | 3 | 11 | 3 | 2 | 0 | 46 | 45 | 10 | 18 | 17.78% | 7 | 11.49 | 1 | 0 | 1 | 0 | 0 | 0 | 15 | 2 | 0 | 52.38% | 0 | 0 | 0.14 | 0 | 0 | 0.17 | |||
| 12 | Tyce Thompson | Crunch (TAM) | RW | 63 | 4 | 7 | 11 | 6 | 26 | 0 | 39 | 35 | 7 | 19 | 11.43% | 2 | 10.05 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 22.22% | 0 | 0 | 0.17 | 0 | 0 | 0.14 | |||
| 13 | Nick Swaney | Crunch (TAM) | RW | 37 | 4 | 6 | 10 | -13 | 4 | 0 | 27 | 23 | 10 | 15 | 17.39% | 12 | 10.73 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 2 | 33.33% | 0 | 0 | 0.27 | 0 | 0 | 0.12 | |||
| 14 | Gavin White | Crunch (TAM) | D | 82 | 0 | 9 | 9 | 9 | 17 | 5 | 43 | 16 | 7 | 12 | 0.00% | 32 | 16.27 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.10 | |||
| 15 | Daemon Hunt | Crunch (TAM) | D | 82 | 0 | 9 | 9 | 6 | 18 | 0 | 35 | 37 | 11 | 11 | 0.00% | 39 | 17.54 | 0 | 2 | 2 | 0 | 0 | 0 | 54 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.10 | |||
| 16 | Ben Harpur | Crunch (TAM) | D | 68 | 0 | 8 | 8 | -3 | 22 | 0 | 69 | 29 | 14 | 12 | 0.00% | 34 | 19.16 | 0 | 1 | 1 | 0 | 1 | 1 | 80 | 0 | 0 | 0.00% | 0 | 0 | 0.12 | 0 | 0 | 0.06 | |||
| 17 | Jake Leschyshyn | Crunch (TAM) | C | 82 | 2 | 1 | 3 | 1 | 2 | 0 | 7 | 7 | 3 | 2 | 28.57% | 0 | 2.73 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 2 | 0 | 59.38% | 0 | 0 | 0.04 | 0 | 0 | 0.03 | |||
| 18 | Coulson Pitre | Crunch (TAM) | RW | 6 | 0 | 1 | 1 | -1 | 5 | 5 | 7 | 4 | 4 | 2 | 0.00% | 2 | 13.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.00 | |||
| 19 | Jakub Dvorak | Crunch (TAM) | D | 57 | 0 | 0 | 0 | -2 | 15 | 5 | 9 | 5 | 0 | 1 | 0.00% | 7 | 5.44 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | |||
| Team Total or Average | 1311 | 151 | 231 | 382 | -28 | 378 | 60 | 1191 | 1196 | 410 | 687 | 12.63% | 420 | 15.88 | 38 | 58 | 96 | 930 | 4 | 4 | 8 | 878 | 34 | 11 | 50.40% | 2897 | 303 | 347 | 3 | 3 | 0.37 | 8 | 31 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Clay Stevenson | Crunch (TAM) | 66 | 34 | 22 | 10 | 0.896 | 1.93 | 3949 | 2 | 9 | 127 | 1221 | 628 | 0 | 4 | 0.760 | 25 | 66 | 14 | 4 | 5 | 4 |
| 2 | Brandon Halverson | Crunch (TAM) | 17 | 8 | 6 | 1 | 0.896 | 2.86 | 966 | 2 | 0 | 46 | 441 | 237 | 0 | 1 | 0.833 | 6 | 15 | 66 | 1 | 2 | 0 |
| 3 | Garret Sparks | Crunch (TAM) | 1 | 1 | 0 | 0 | 1.000 | 0.00 | 60 | 0 | 1 | 0 | 6 | 3 | 1 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
| Team Total or Average | 84 | 43 | 28 | 11 | 0.896 | 2.09 | 4975 | 4 | 10 | 173 | 1668 | 868 | 1 | 5 | 0.774 | 31 | 82 | 80 | 5 | 7 | 4 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ben Harpur | D | 30 | 1,600,000$ | 1,600,000$ | UFA | ||||||
| Ben Jones | C | 26 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||
| Brandon Halverson | G | 29 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
| Callahan Burke | C | 28 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | |||
| Carson Meyer | LW/RW | 27 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | |||
| Christian Wolanin | D | 30 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | |||
| Clay Stevenson | G | 26 | 975,000$ | 975,000$ | UFA | ||||||
| Coulson Pitre | RW | 20 | 860,000$ | 975,000$ | 975,000$ | RFA | |||||
| Daemon Hunt | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Dylan Gambrell | C | 28 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | |||
| Garret Sparks | G | 32 | 3,300,000$ | 3,300,000$ | UFA | ||||||
| Garrett Pilon | C | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
| Gavin White | D | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Jake Leschyshyn | C | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
| Jakub Dvorak | D | 20 | 870,000$ | 975,000$ | 975,000$ | RFA | |||||
| Joel Teasdale | LW | 26 | 975,000$ | 975,000$ | UFA | ||||||
| Liam Foudy | C/LW/RW | 25 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
| Nick Swaney | RW | 27 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | |||
| Pavel Cajan | G | 22 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||
| Ty Mueller | C | 22 | 870,000$ | 975,000$ | 975,000$ | ||||||
| Tyce Thompson | RW | 25 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | |||
| Xavier Simoneau | C | 24 | 975,000$ | 975,000$ | |||||||
| Yan Kuznetsov | D | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA |
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| 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 |
| # | VS Team | 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 | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Gulls | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 25 | 58 | 81 | 18 | 32 | 308 | 464 | 677 | 60 | 9 | 6 | 6 | 48 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 33.3% | 9.4% | 44.4% | 53.8 | FUN |
| 2 | Moose | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 25 | 58 | 81 | 18 | 30 | 308 | 464 | 677 | 60 | 20 | 8 | 10 | 33 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 33.3% | 6.7% | 70.0% | 76.7 | Unlucky |
| 3 | Bruins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 25 | 58 | 81 | 18 | 56 | 308 | 464 | 677 | 60 | 74 | 19 | 17 | 38 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 87.5% | 12.5% | 95.9% | 108.4 | LUCKY |
| 4 | Americans | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 6 | 9 | -3 | 4 | 0.500 | 6 | 11 | 17 | 0 | 0 | 25 | 58 | 81 | 18 | 75 | 308 | 464 | 677 | 60 | 61 | 18 | 10 | 73 | 11 | 2 | 18.18% | 5 | 2 | 60.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 36.4% | 8.0% | 85.2% | 93.2 | Unlucky |
| 5 | Heat | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 3 | 2 | 3 | 0.750 | 5 | 8 | 13 | 0 | 1 | 25 | 58 | 81 | 18 | 28 | 308 | 464 | 677 | 60 | 20 | 2 | 4 | 25 | 4 | 2 | 50.00% | 2 | 1 | 50.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 60.0% | 17.9% | 85.0% | 102.9 | FUN |
| 6 | Wolves | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 25 | 58 | 81 | 18 | 35 | 308 | 464 | 677 | 60 | 54 | 25 | 12 | 42 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 88.9% | 22.9% | 94.4% | 117.3 | LUCKY |
| 7 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 25 | 58 | 81 | 18 | 35 | 308 | 464 | 677 | 60 | 75 | 34 | 17 | 30 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 28.6% | 8.6% | 90.7% | 99.2 | Unlucky |
| 8 | Eagles | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 6 | 9 | 0 | 1 | 25 | 58 | 81 | 18 | 30 | 308 | 464 | 677 | 60 | 32 | 12 | 2 | 33 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 66.7% | 10.0% | 96.9% | 106.9 | LUCKY |
| 9 | Monsters | 4 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 9 | 5 | 4 | 7 | 0.875 | 9 | 14 | 23 | 0 | 2 | 25 | 58 | 81 | 18 | 64 | 308 | 464 | 677 | 60 | 57 | 19 | 19 | 80 | 7 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 75.0% | 14.1% | 91.2% | 105.3 | LUCKY |
| 10 | Stars | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 25 | 58 | 81 | 18 | 25 | 308 | 464 | 677 | 60 | 23 | 21 | 6 | 26 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 66.7% | 28.0% | 87.0% | 115.0 | FUN |
| 11 | Griffins | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 25 | 58 | 81 | 18 | 50 | 308 | 464 | 677 | 60 | 77 | 17 | 23 | 39 | 8 | 4 | 50.00% | 9 | 2 | 77.78% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 28.6% | 12.0% | 90.9% | 102.9 | FUN |
| 12 | Condors | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 25 | 58 | 81 | 18 | 43 | 308 | 464 | 677 | 60 | 49 | 19 | 6 | 22 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 55.6% | 16.3% | 91.8% | 108.1 | LUCKY |
| 13 | Checkers 1 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 6 | 0.750 | 10 | 16 | 26 | 0 | 0 | 25 | 58 | 81 | 18 | 74 | 308 | 464 | 677 | 60 | 67 | 17 | 18 | 72 | 11 | 3 | 27.27% | 9 | 2 | 77.78% | 1 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 63.6% | 13.5% | 91.0% | 104.6 | FUN |
| 14 | Reign | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 25 | 58 | 81 | 18 | 35 | 308 | 464 | 677 | 60 | 42 | 13 | 10 | 34 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 75.0% | 14.3% | 95.2% | 109.5 | LUCKY |
| 15 | Wild | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 4 | 0.667 | 6 | 9 | 15 | 1 | 1 | 25 | 58 | 81 | 18 | 71 | 308 | 464 | 677 | 60 | 29 | 8 | 8 | 42 | 8 | 3 | 37.50% | 4 | 1 | 75.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 42.9% | 8.5% | 82.8% | 91.2 | Unlucky |
| 16 | Rocket | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.500 | 6 | 9 | 15 | 1 | 0 | 25 | 58 | 81 | 18 | 63 | 308 | 464 | 677 | 60 | 49 | 16 | 17 | 67 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 44.4% | 9.5% | 85.7% | 95.2 | FUN |
| 17 | Admirals | 3 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 7 | 4 | 3 | 6 | 1.000 | 7 | 11 | 18 | 0 | 1 | 25 | 58 | 81 | 18 | 61 | 308 | 464 | 677 | 60 | 47 | 11 | 10 | 39 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 60.0% | 11.5% | 91.5% | 103.0 | LUCKY |
| 18 | Comets | 4 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 6 | 5 | 1 | 6 | 0.750 | 6 | 10 | 16 | 0 | 0 | 25 | 58 | 81 | 18 | 51 | 308 | 464 | 677 | 60 | 40 | 9 | 19 | 78 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 66.7% | 11.8% | 87.5% | 99.3 | FUN |
| 19 | Islanders | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 2 | 1 | 3 | 0.750 | 3 | 5 | 8 | 0 | 1 | 25 | 58 | 81 | 18 | 23 | 308 | 464 | 677 | 60 | 15 | 5 | 6 | 20 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 50.0% | 13.0% | 86.7% | 99.7 | FUN |
| 20 | Wolf Pack | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 10 | -2 | 1 | 0.250 | 8 | 12 | 20 | 0 | 0 | 25 | 58 | 81 | 18 | 52 | 308 | 464 | 677 | 60 | 66 | 24 | 14 | 37 | 1 | 1 | 100.00% | 8 | 1 | 87.50% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 43.8% | 15.4% | 84.8% | 100.2 | FUN |
| 21 | Belleville Senators | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 2 | 9 | -7 | 1 | 0.125 | 2 | 3 | 5 | 0 | 0 | 25 | 58 | 81 | 18 | 68 | 308 | 464 | 677 | 60 | 92 | 24 | 35 | 71 | 6 | 1 | 16.67% | 15 | 3 | 80.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 14.3% | 2.9% | 90.2% | 93.2 | Unlucky |
| 22 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 1 | 0 | 25 | 58 | 81 | 18 | 36 | 308 | 464 | 677 | 60 | 30 | 7 | 12 | 32 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 33.3% | 11.1% | 83.3% | 94.4 | FUN |
| 23 | Roadrunners | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 25 | 58 | 81 | 18 | 18 | 308 | 464 | 677 | 60 | 46 | 9 | 5 | 28 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 37.5% | 16.7% | 89.1% | 105.8 | FUN |
| 24 | Penguins | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 4 | 2 | 3 | 0.750 | 6 | 9 | 15 | 0 | 0 | 25 | 58 | 81 | 18 | 31 | 308 | 464 | 677 | 60 | 44 | 11 | 14 | 36 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 2 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 62.5% | 19.4% | 90.9% | 110.3 | FUN |
| 25 | Barracuda | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 7 | 12 | 0 | 1 | 25 | 58 | 81 | 18 | 38 | 308 | 464 | 677 | 60 | 22 | 7 | 11 | 41 | 9 | 3 | 33.33% | 3 | 0 | 100.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 50.0% | 13.2% | 90.9% | 104.1 | FUN |
| 26 | Thunderbirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 25 | 58 | 81 | 18 | 46 | 308 | 464 | 677 | 60 | 82 | 22 | 11 | 39 | 8 | 3 | 37.50% | 3 | 0 | 100.00% | 1 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 44.4% | 15.2% | 93.9% | 109.1 | LUCKY |
| 27 | Marlies | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 17 | -10 | 0 | 0.000 | 7 | 11 | 18 | 0 | 0 | 25 | 58 | 81 | 18 | 110 | 308 | 464 | 677 | 60 | 160 | 52 | 20 | 65 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 28.6% | 6.4% | 89.4% | 95.7 | Unlucky |
| 28 | Canucks | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 9 | 20 | -11 | 2 | 0.250 | 9 | 14 | 23 | 0 | 0 | 25 | 58 | 81 | 18 | 79 | 308 | 464 | 677 | 60 | 132 | 45 | 41 | 62 | 8 | 2 | 25.00% | 13 | 5 | 61.54% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 31.8% | 11.4% | 84.8% | 96.2 | FUN |
| 29 | Hershey Bears | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 7 | -2 | 1 | 0.250 | 5 | 8 | 13 | 0 | 0 | 25 | 58 | 81 | 18 | 31 | 308 | 464 | 677 | 60 | 45 | 12 | 14 | 40 | 3 | 2 | 66.67% | 7 | 5 | 28.57% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 60.0% | 16.1% | 84.4% | 100.6 | FUN |
| 30 | Silver Knights | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 1 | 0 | 25 | 58 | 81 | 18 | 23 | 308 | 464 | 677 | 60 | 30 | 15 | 10 | 32 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 37.5% | 17.4% | 83.3% | 100.7 | FUN |
| 31 | Checkers 2 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 6 | 4 | 6 | 0.750 | 10 | 12 | 22 | 0 | 1 | 25 | 58 | 81 | 18 | 65 | 308 | 464 | 677 | 60 | 84 | 40 | 14 | 77 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 1 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 61.5% | 15.4% | 92.9% | 108.2 | LUCKY |
| _Vs Division | 20 | 5 | 14 | 0 | 4 | 1 | 1 | 3 | 49 | 41 | 8 | 24 | 0.600 | 49 | 77 | 126 | 1 | 3 | 25 | 58 | 81 | 18 | 323 | 308 | 464 | 677 | 60 | 351 | 112 | 110 | 365 | 23 | 7 | 30.43% | 51 | 14 | 72.55% | 2 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 60.9% | 15.2% | 88.3% | 103.5 | FUN | |
| _Vs Conference | 46 | 15 | 18 | 0 | 4 | 4 | 1 | 4 | 96 | 112 | -16 | 48 | 0.522 | 96 | 151 | 247 | 2 | 3 | 25 | 58 | 81 | 18 | 848 | 308 | 464 | 677 | 60 | 986 | 303 | 268 | 813 | 76 | 18 | 23.68% | 115 | 32 | 72.17% | 3 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 49.4% | 11.3% | 88.6% | 100.0 | FUN | |
| _Since Last GM Reset | 82 | 28 | 28 | 0 | 10 | 7 | 5 | 4 | 179 | 182 | -3 | 97 | 0.591 | 179 | 276 | 455 | 5 | 9 | 25 | 58 | 81 | 18 | 1478 | 308 | 464 | 677 | 60 | 1673 | 547 | 421 | 1401 | 156 | 45 | 28.85% | 179 | 43 | 75.98% | 5 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 49.1% | 12.1% | 89.1% | 101.2 | FUN | |
| Total | 82 | 28 | 28 | 0 | 10 | 7 | 5 | 4 | 179 | 182 | -3 | 97 | 0.591 | 179 | 276 | 455 | 5 | 9 | 25 | 58 | 81 | 18 | 1478 | 308 | 464 | 677 | 60 | 1673 | 547 | 421 | 1401 | 156 | 45 | 28.85% | 179 | 43 | 75.98% | 5 | 566 | 1118 | 50.63% | 676 | 1315 | 51.41% | 444 | 825 | 53.82% | 1440 | 551 | 1537 | 890 | 2003 | 1011 | 49.1% | 12.1% | 89.1% | 101.2 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 24 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1118 |
| Neutral Zone Start | 825 |
| Defensive Zone Start | 1315 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1686 |
| Faceoffs Lost | 1572 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.8 | 9.57 |
| 2nd Period | 9.4 | 20.31 |
| 3rd Period | 17.7 | 30.68 |
| Overtime | 18.4 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.3 | 0.64 |
| 2nd Period | 1.0 | 1.65 |
| 3rd Period | 2.0 | 2.67 |
| Overtime | 2.2 | 2.83 |
| Even Strenght Goal | 124 |
|---|---|
| PP Goal | 45 |
| PK Goal | 5 |
| Empty Net Goal | 5 |
| Home | Away | |
|---|---|---|
| Win | 20 | 23 |
| Lost | 16 | 12 |
| Overtime Lost | 5 | 6 |
| PP Attempt | 156 |
|---|---|
| PP Goal | 45 |
| PK Attempt | 179 |
| PK Goal Against | 43 |
| Home | |
|---|---|
| Shots For | 18.0 |
| Shots Against | 20.4 |
| Goals For | 2.2 |
| Goals Against | 2.2 |
| Hits | 17.1 |
| Shots Blocked | 6.7 |
| Pim | 5.1 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,450,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Syracuse | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,450,000$ | 3,450,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,924,279$ | 0$ | 3,574,280$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 22 | 22,485$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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