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Full Scoreboard »» |
![]() | Syracuse Crunch 22-19-5, 49pts · 12th 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$/4yrs | |||
Christian Wolanin | 0 | D | 100.00 | 58 | 43 | 68 | 66 | 63 | 71 | 69 | 65 | 40 | 65 | 55 | 69 | 62 | 63 | 53 | 1 | 50 | 63 | 30 | 1,700,000$/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$/4yrs | |||
Frederic Brunet | 0 | D | 100.00 | 65 | 42 | 70 | 68 | 64 | 61 | 59 | 62 | 40 | 60 | 55 | 68 | 62 | 50 | 50 | 1 | 50 | 62 | 21 | 975,000$/2yrs | |||
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 | ||||||||||||||||||||||||||
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$/4yrs | |||
Coulson Pitre (R) | 0 | RW | 100.00 | 57 | 41 | 68 | 62 | 59 | 58 | 57 | 59 | 41 | 58 | 54 | 54 | 58 | 50 | 50 | 1 | 50 | 56 | 20 | 860,000$/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 | Liam Foudy | Crunch (TAM) | C/LW/RW | 46 | 9 | 18 | 27 | -21 | 14 | 0 | 68 | 86 | 35 | 64 | 10.47% | 24 | 21.74 | 3 | 6 | 9 | 0 | 0 | 0 | 51 | 1 | 2 | 43.75% | 0 | 1 | 0.59 | 1 | 5 | 0.40 | |||
| 2 | Ben Jones | Crunch (TAM) | C | 23 | 7 | 14 | 21 | -10 | 0 | 0 | 36 | 52 | 22 | 30 | 13.46% | 12 | 23.53 | 3 | 4 | 7 | 0 | 0 | 0 | 38 | 2 | 0 | 49.34% | 0 | 0 | 0.91 | 3 | 5 | 0.72 | |||
| 3 | Carson Meyer | Crunch (TAM) | LW/RW | 41 | 18 | 3 | 21 | -12 | 31 | 15 | 62 | 87 | 23 | 45 | 20.69% | 10 | 20.37 | 3 | 1 | 4 | 0 | 1 | 1 | 34 | 3 | 1 | 38.10% | 0 | 1 | 0.51 | 0 | 1 | 0.35 | |||
| 4 | Garrett Pilon | Crunch (TAM) | C | 46 | 8 | 12 | 20 | -4 | 16 | 0 | 56 | 60 | 23 | 49 | 13.33% | 12 | 18.05 | 2 | 1 | 3 | 1 | 0 | 1 | 29 | 3 | 1 | 53.77% | 0 | 0 | 0.43 | 1 | 4 | 0.36 | |||
| 5 | Christian Wolanin | Crunch (TAM) | D | 46 | 1 | 13 | 14 | -12 | 20 | 0 | 42 | 55 | 20 | 27 | 1.82% | 49 | 24.74 | 0 | 5 | 5 | 0 | 0 | 0 | 77 | 0 | 0 | 0.00% | 0 | 0 | 0.30 | 1 | 1 | 0.19 | |||
| 6 | Nick Swaney | Crunch (TAM) | RW | 29 | 4 | 6 | 10 | -13 | 4 | 0 | 26 | 23 | 10 | 15 | 17.39% | 12 | 13.18 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 2 | 33.33% | 0 | 0 | 0.34 | 0 | 0 | 0.16 | |||
| 7 | Xavier Simoneau | Crunch (TAM) | C | 46 | 5 | 5 | 10 | 5 | 19 | 5 | 44 | 32 | 12 | 14 | 15.63% | 1 | 11.45 | 1 | 3 | 4 | 0 | 0 | 0 | 5 | 0 | 0 | 51.69% | 1 | 0 | 0.22 | 0 | 1 | 0.19 | |||
| 8 | Frederic Brunet | Crunch (TAM) | D | 46 | 0 | 9 | 9 | -6 | 18 | 0 | 54 | 32 | 9 | 10 | 0.00% | 40 | 21.30 | 0 | 3 | 3 | 0 | 0 | 0 | 64 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.12 | |||
| 9 | Yan Kuznetsov | Crunch (TAM) | D | 23 | 3 | 6 | 9 | -3 | 17 | 5 | 23 | 24 | 12 | 10 | 12.50% | 16 | 24.43 | 1 | 1 | 2 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0.39 | 0 | 1 | 0.22 | |||
| 10 | Dylan Gambrell | Crunch (TAM) | C | 46 | 3 | 5 | 8 | -5 | 10 | 0 | 39 | 42 | 18 | 21 | 7.14% | 5 | 13.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 54.79% | 0 | 0 | 0.17 | 1 | 3 | 0.14 | |||
| 11 | Ty Mueller | Crunch (TAM) | C | 46 | 5 | 3 | 8 | -7 | 10 | 0 | 46 | 44 | 17 | 24 | 11.36% | 3 | 11.75 | 1 | 0 | 1 | 1 | 0 | 1 | 15 | 0 | 0 | 48.51% | 0 | 0 | 0.17 | 0 | 2 | 0.13 | |||
| 12 | Daemon Hunt | Crunch (TAM) | D | 46 | 0 | 8 | 8 | -1 | 10 | 0 | 22 | 27 | 7 | 5 | 0.00% | 21 | 17.81 | 0 | 2 | 2 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.13 | |||
| 13 | Joel Teasdale | Crunch (TAM) | LW | 34 | 1 | 6 | 7 | -1 | 2 | 0 | 39 | 38 | 12 | 12 | 2.63% | 4 | 17.52 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 1 | 0 | 57.14% | 0 | 0 | 0.21 | 0 | 0 | 0.23 | |||
| 14 | Callahan Burke | Crunch (TAM) | C | 41 | 4 | 2 | 6 | 1 | 2 | 0 | 20 | 23 | 4 | 11 | 17.39% | 4 | 10.47 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 1 | 0 | 70.97% | 0 | 0 | 0.15 | 0 | 0 | 0.16 | |||
| 15 | Gavin White | Crunch (TAM) | D | 46 | 0 | 5 | 5 | 1 | 9 | 5 | 24 | 7 | 4 | 7 | 0.00% | 17 | 15.22 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.07 | |||
| 16 | Tyce Thompson | Crunch (TAM) | RW | 27 | 2 | 2 | 4 | 2 | 14 | 0 | 16 | 13 | 1 | 8 | 15.38% | 1 | 9.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.15 | 0 | 0 | 0.09 | |||
| 17 | Ben Harpur | Crunch (TAM) | D | 32 | 0 | 2 | 2 | -9 | 8 | 0 | 35 | 15 | 7 | 4 | 0.00% | 16 | 18.37 | 0 | 0 | 0 | 0 | 1 | 1 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0.06 | 0 | 0 | -0.03 | |||
| 18 | Jake Leschyshyn | Crunch (TAM) | C | 46 | 2 | 0 | 2 | 1 | 2 | 0 | 1 | 4 | 1 | 2 | 50.00% | 0 | 1.80 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 0 | 63.16% | 0 | 0 | 0.04 | 0 | 0 | 0.04 | |||
| 19 | Coulson Pitre | Crunch (TAM) | RW | 5 | 0 | 1 | 1 | -1 | 5 | 5 | 6 | 2 | 3 | 2 | 0.00% | 2 | 13.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | -0.04 | |||
| 20 | Jakub Dvorak | Crunch (TAM) | D | 24 | 0 | 0 | 0 | -1 | 13 | 5 | 8 | 5 | 0 | 1 | 0.00% | 7 | 9.15 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.08 | |||
| Team Total or Average | 739 | 72 | 120 | 192 | -96 | 224 | 40 | 667 | 671 | 240 | 361 | 10.73% | 256 | 15.82 | 16 | 27 | 43 | 560 | 2 | 2 | 4 | 488 | 15 | 6 | 50.53% | 1514 | 179 | 208 | 1 | 2 | 0.33 | 7 | 23 |
| 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) | 31 | 14 | 13 | 4 | 0.885 | 2.14 | 1827 | 0 | 5 | 65 | 567 | 293 | 0 | 2 | 0.765 | 17 | 31 | 14 | 1 | 3 | 2 |
| 2 | Brandon Halverson | Crunch (TAM) | 16 | 7 | 6 | 1 | 0.895 | 2.91 | 906 | 2 | 0 | 44 | 420 | 222 | 0 | 1 | 0.833 | 6 | 14 | 31 | 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 | 48 | 22 | 19 | 5 | 0.890 | 2.34 | 2794 | 2 | 6 | 109 | 993 | 518 | 1 | 3 | 0.783 | 23 | 46 | 45 | 2 | 5 | 2 |
| 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$ | |||||||
| 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 | |||
| Frederic Brunet | D | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| 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$ | |||||||
| 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$ | RFA | |||||
| 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$ |
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| Goalies | |||||||
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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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 8 | 28 | 51 | 13 | 17 | 198 | 279 | 407 | 42 | 3 | 2 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 40.0% | 11.8% | 0.0% | 11.8 | FUN |
| 2 | Moose | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 8 | 28 | 51 | 13 | 30 | 198 | 279 | 407 | 42 | 20 | 8 | 10 | 33 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 33.3% | 6.7% | 70.0% | 76.7 | Unlucky |
| 3 | Bruins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 8 | 28 | 51 | 13 | 22 | 198 | 279 | 407 | 42 | 36 | 11 | 9 | 20 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 66.7% | 9.1% | 97.2% | 106.3 | LUCKY |
| 4 | Americans | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 5 | 6 | -1 | 4 | 0.667 | 5 | 9 | 14 | 0 | 0 | 8 | 28 | 51 | 13 | 61 | 198 | 279 | 407 | 42 | 48 | 13 | 6 | 51 | 9 | 1 | 11.11% | 3 | 0 | 100.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 40.0% | 8.2% | 87.5% | 95.7 | Unlucky |
| 5 | Heat | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 3 | 2 | 3 | 0.750 | 5 | 8 | 13 | 0 | 1 | 8 | 28 | 51 | 13 | 28 | 198 | 279 | 407 | 42 | 20 | 2 | 4 | 25 | 4 | 2 | 50.00% | 2 | 1 | 50.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 60.0% | 17.9% | 85.0% | 102.9 | FUN |
| 6 | Monsters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 8 | 28 | 51 | 13 | 16 | 198 | 279 | 407 | 42 | 17 | 5 | 7 | 18 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 75.0% | 18.8% | 94.1% | 112.9 | LUCKY |
| 7 | Stars | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 8 | 28 | 51 | 13 | 12 | 198 | 279 | 407 | 42 | 13 | 15 | 4 | 14 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 60.0% | 25.0% | 84.6% | 109.6 | FUN |
| 8 | Griffins | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 8 | 28 | 51 | 13 | 50 | 198 | 279 | 407 | 42 | 77 | 17 | 23 | 39 | 8 | 4 | 50.00% | 9 | 2 | 77.78% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 28.6% | 12.0% | 90.9% | 102.9 | FUN |
| 9 | Checkers 1 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 4 | 0.667 | 6 | 9 | 15 | 0 | 0 | 8 | 28 | 51 | 13 | 58 | 198 | 279 | 407 | 42 | 58 | 13 | 14 | 57 | 8 | 2 | 25.00% | 7 | 2 | 71.43% | 1 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 57.1% | 10.3% | 91.4% | 101.7 | LUCKY |
| 10 | Wild | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 1 | 8 | 28 | 51 | 13 | 58 | 198 | 279 | 407 | 42 | 24 | 6 | 4 | 26 | 6 | 3 | 50.00% | 2 | 0 | 100.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 50.0% | 10.3% | 87.5% | 97.8 | FUN |
| 11 | Rocket | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 8 | 28 | 51 | 13 | 36 | 198 | 279 | 407 | 42 | 32 | 15 | 11 | 31 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 50.0% | 5.6% | 90.6% | 96.2 | Unlucky |
| 12 | Admirals | 3 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 7 | 4 | 3 | 6 | 1.000 | 7 | 11 | 18 | 0 | 1 | 8 | 28 | 51 | 13 | 61 | 198 | 279 | 407 | 42 | 47 | 11 | 10 | 39 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 60.0% | 11.5% | 91.5% | 103.0 | LUCKY |
| 13 | Comets | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 8 | 28 | 51 | 13 | 18 | 198 | 279 | 407 | 42 | 12 | 2 | 4 | 26 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 66.7% | 11.1% | 91.7% | 102.8 | LUCKY |
| 14 | Wolf Pack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 8 | 28 | 51 | 13 | 34 | 198 | 279 | 407 | 42 | 36 | 15 | 6 | 18 | 1 | 1 | 100.00% | 4 | 0 | 100.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 40.0% | 14.7% | 83.3% | 98.0 | FUN |
| 15 | Belleville Senators | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 2 | 6 | -4 | 1 | 0.167 | 2 | 3 | 5 | 0 | 0 | 8 | 28 | 51 | 13 | 51 | 198 | 279 | 407 | 42 | 62 | 16 | 23 | 58 | 5 | 1 | 20.00% | 9 | 0 | 100.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 14.3% | 3.9% | 90.3% | 94.2 | Unlucky |
| 16 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 1 | 0 | 8 | 28 | 51 | 13 | 36 | 198 | 279 | 407 | 42 | 30 | 7 | 12 | 32 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 33.3% | 11.1% | 83.3% | 94.4 | FUN |
| 17 | Roadrunners | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 8 | 28 | 51 | 13 | 18 | 198 | 279 | 407 | 42 | 46 | 9 | 5 | 28 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 37.5% | 16.7% | 89.1% | 105.8 | FUN |
| 18 | Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 8 | 28 | 51 | 13 | 20 | 198 | 279 | 407 | 42 | 10 | 5 | 2 | 28 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 100.0% | 10.0% | 100.0% | 110.0 | LUCKY |
| 19 | Thunderbirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 8 | 28 | 51 | 13 | 24 | 198 | 279 | 407 | 42 | 38 | 9 | 4 | 24 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 1 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 75.0% | 16.7% | 97.4% | 114.0 | LUCKY |
| 20 | Marlies | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 17 | -10 | 0 | 0.000 | 7 | 11 | 18 | 0 | 0 | 8 | 28 | 51 | 13 | 110 | 198 | 279 | 407 | 42 | 160 | 52 | 20 | 65 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 28.6% | 6.4% | 89.4% | 95.7 | Unlucky |
| 21 | Canucks | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 17 | -12 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 8 | 28 | 51 | 13 | 57 | 198 | 279 | 407 | 42 | 99 | 37 | 39 | 44 | 4 | 0 | 0.00% | 12 | 5 | 58.33% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 29.4% | 8.8% | 82.8% | 91.6 | Unlucky |
| 22 | Hershey Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 8 | 28 | 51 | 13 | 24 | 198 | 279 | 407 | 42 | 31 | 11 | 10 | 24 | 1 | 0 | 0.00% | 5 | 4 | 20.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 100.0% | 12.5% | 87.1% | 99.6 | FUN |
| 23 | Silver Knights | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 8 | 28 | 51 | 13 | 13 | 198 | 279 | 407 | 42 | 18 | 9 | 2 | 19 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 33.3% | 15.4% | 77.8% | 93.2 | FUN |
| 24 | Checkers 2 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 4 | 5 | 6 | 1.000 | 9 | 11 | 20 | 0 | 1 | 8 | 28 | 51 | 13 | 49 | 198 | 279 | 407 | 42 | 59 | 32 | 12 | 50 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 1 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 70.0% | 18.4% | 93.2% | 111.6 | LUCKY |
| _Vs Division | 6 | 2 | 10 | 0 | 2 | 1 | 0 | 2 | 17 | 17 | 0 | 11 | 0.917 | 17 | 30 | 47 | 1 | 0 | 8 | 28 | 51 | 13 | 128 | 198 | 279 | 407 | 42 | 126 | 40 | 39 | 118 | 8 | 3 | 37.50% | 18 | 5 | 72.22% | 0 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 53.8% | 13.3% | 86.5% | 99.8 | FUN | |
| _Vs Conference | 25 | 6 | 14 | 0 | 2 | 1 | 0 | 2 | 46 | 72 | -26 | 19 | 0.380 | 46 | 77 | 123 | 1 | 0 | 8 | 28 | 51 | 13 | 523 | 198 | 279 | 407 | 42 | 621 | 197 | 161 | 444 | 43 | 8 | 18.60% | 64 | 15 | 76.56% | 1 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 40.0% | 8.8% | 88.4% | 97.2 | Unlucky | |
| _Since Last GM Reset | 46 | 12 | 19 | 0 | 6 | 3 | 4 | 2 | 97 | 114 | -17 | 49 | 0.533 | 97 | 151 | 248 | 3 | 5 | 8 | 28 | 51 | 13 | 903 | 198 | 279 | 407 | 42 | 996 | 322 | 241 | 793 | 90 | 22 | 24.44% | 99 | 21 | 78.79% | 3 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 44.6% | 10.7% | 88.6% | 99.3 | FUN | |
| Total | 46 | 12 | 19 | 0 | 6 | 3 | 4 | 2 | 97 | 114 | -17 | 49 | 0.533 | 97 | 151 | 248 | 3 | 5 | 8 | 28 | 51 | 13 | 903 | 198 | 279 | 407 | 42 | 996 | 322 | 241 | 793 | 90 | 22 | 24.44% | 99 | 21 | 78.79% | 3 | 352 | 677 | 51.99% | 375 | 750 | 50.00% | 264 | 473 | 55.81% | 822 | 326 | 864 | 494 | 1110 | 556 | 44.6% | 10.7% | 88.6% | 99.3 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 24 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 677 |
| Neutral Zone Start | 473 |
| Defensive Zone Start | 750 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 991 |
| Faceoffs Lost | 909 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 4.3 | 9.57 |
| 2nd Period | 10.4 | 20.31 |
| 3rd Period | 19.2 | 30.68 |
| Overtime | 20.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.2 | 0.64 |
| 2nd Period | 0.8 | 1.65 |
| 3rd Period | 1.9 | 2.67 |
| Overtime | 2.2 | 2.83 |
| Even Strenght Goal | 69 |
|---|---|
| PP Goal | 22 |
| PK Goal | 3 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 11 | 11 |
| Lost | 10 | 9 |
| Overtime Lost | 3 | 2 |
| PP Attempt | 90 |
|---|---|
| PP Goal | 22 |
| PK Attempt | 99 |
| PK Goal Against | 21 |
| Home | |
|---|---|
| Shots For | 19.6 |
| Shots Against | 21.7 |
| Goals For | 2.1 |
| Goals Against | 2.5 |
| Hits | 17.2 |
| Shots Blocked | 7.0 |
| Pim | 5.2 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Thu, Oct 9 | FLO | @ | TAM | FLO1,TAM2 | RECAP | |||||||||
| Sat, Oct 11 | NJD | @ | TAM | NJD1,TAM2 (OT) | RECAP | |||||||||
| Tue, Oct 14 | TAM | @ | NAS | TAM3,NAS2 (OT) | RECAP | |||||||||
| Thu, Oct 16 | CLB | @ | TAM | CLB1,TAM3 | RECAP | |||||||||
| Sun, Oct 19 | TAM | @ | MIN | TAM4,MIN3 (OT) | RECAP | |||||||||
| Tue, Oct 21 | SEA | @ | TAM | SEA1,TAM3 | RECAP | |||||||||
| Thu, Oct 23 | TAM | @ | VAN | TAM2,VAN4 | RECAP | |||||||||
| Fri, Oct 24 | TAM | @ | TOR | TAM2,TOR3 | RECAP | |||||||||
| Sun, Oct 26 | FLO | @ | TAM | FLO3,TAM1 | RECAP | |||||||||
| Mon, Oct 27 | TAM | @ | BUF | TAM1,BUF2 (OT) | RECAP | |||||||||
| Thu, Oct 30 | TOR | @ | TAM | TOR3,TAM1 | RECAP | |||||||||
| Sat, Nov 1 | TAM | @ | OTT | TAM0,OTT1 | RECAP | |||||||||
| Sun, Nov 2 | TAM | @ | SEA | TAM2,SEA0 | RECAP | |||||||||
| Tue, Nov 4 | VAN | @ | TAM | VAN7,TAM1 | RECAP | |||||||||
| Wed, Nov 5 | TAM | @ | MTL | TAM0,MTL2 | RECAP | |||||||||
| Sat, Nov 8 | BUF | @ | TAM | BUF2,TAM3 | RECAP | |||||||||
| Mon, Nov 10 | FLO | @ | TAM | FLO1,TAM3 | RECAP | |||||||||
| Wed, Nov 12 | TAM | @ | WAS | TAM3,WAS4 | RECAP | |||||||||
| Fri, Nov 14 | TAM | @ | BUF | TAM1,BUF2 (SO) | RECAP | |||||||||
| Sat, Nov 15 | TOR | @ | TAM | TOR8,TAM3 | RECAP | |||||||||
| Mon, Nov 17 | DET | @ | TAM | DET5,TAM3 | RECAP | |||||||||
| Wed, Nov 19 | TAM | @ | OTT | TAM2,OTT4 | RECAP | |||||||||
| Fri, Nov 21 | TAM | @ | BOS | TAM2,BOS1 | RECAP | |||||||||
| Sun, Nov 23 | S J | @ | TAM | S J0,TAM2 | RECAP | |||||||||
| Wed, Nov 26 | ANA | @ | TAM | ANA3,TAM2 (OT) | RECAP | |||||||||
| Fri, Nov 28 | TAM | @ | DET | TAM3,DET2 (SO) | RECAP | |||||||||
| Sun, Nov 30 | TAM | @ | STL | TAM4,STL1 | RECAP | |||||||||
| Mon, Dec 1 | NYR | @ | TAM | NYR6,TAM5 | RECAP | |||||||||
| Wed, Dec 3 | OTT | @ | TAM | OTT1,TAM0 (SO) | RECAP | |||||||||
| Sat, Dec 6 | TAM | @ | PHO | TAM3,PHO2 (OT) | RECAP | |||||||||
| Mon, Dec 8 | DAL | @ | TAM | DAL2,TAM3 (SO) | RECAP | |||||||||
| Thu, Dec 11 | SEA | @ | TAM | SEA3,TAM4 (SO) | RECAP | |||||||||
| Sat, Dec 13 | TAM | @ | CHI | TAM2,CHI4 | RECAP | |||||||||
| Mon, Dec 15 | TAM | @ | TOR | TAM1,TOR3 | RECAP | |||||||||
| Tue, Dec 16 | PHI | @ | TAM | PHI3,TAM1 | RECAP | |||||||||
| Fri, Dec 19 | TAM | @ | MTL | TAM2,MTL1 (OT) | RECAP | |||||||||
| Sat, Dec 20 | PHO | @ | TAM | PHO3,TAM0 | RECAP | |||||||||
| Wed, Dec 24 | WPG | @ | TAM | WPG4,TAM2 | RECAP | |||||||||
| Sun, Dec 28 | VAN | @ | TAM | VAN6,TAM2 | RECAP | |||||||||
| Tue, Dec 30 | TAM | @ | CAL | TAM3,CAL0 | RECAP | |||||||||
| Thu, Jan 1 | CAL | @ | TAM | CAL3,TAM2 (OT) | RECAP | |||||||||
| Sat, Jan 3 | TAM | @ | PHI | TAM3,PHI2 | RECAP | |||||||||
| Mon, Jan 5 | TAM | @ | NAS | TAM1,NAS0 (SO) | RECAP | |||||||||
| Tue, Jan 6 | MIN | @ | TAM | MIN0,TAM2 | RECAP | |||||||||
| Fri, Jan 9 | TAM | @ | WPG | TAM0,WPG2 | RECAP | |||||||||
| Sat, Jan 10 | NAS | @ | TAM | NAS2,TAM3 (OT) | RECAP | |||||||||
| Tue, Jan 13 | TAM | @ | ANA | |||||||||||
| Wed, Jan 14 | OTT | @ | TAM | |||||||||||
| Fri, Jan 16 | TAM | @ | CHI | |||||||||||
| Sun, Jan 18 | CAR | @ | TAM | |||||||||||
| Tue, Jan 20 | TAM | @ | NYI | |||||||||||
| Thu, Jan 22 | TAM | @ | MIN | |||||||||||
| Fri, Jan 23 | BUF | @ | TAM | |||||||||||
| Mon, Jan 26 | STL | @ | TAM | |||||||||||
| Wed, Jan 28 | TAM | @ | FLO | |||||||||||
| Thu, Jan 29 | LOS | @ | TAM | |||||||||||
| Sun, Feb 1 | TAM | @ | CAR | |||||||||||
| Mon, Feb 2 | WAS | @ | TAM | |||||||||||
| Tue, Feb 3 | TAM | @ | CLB | |||||||||||
| Fri, Feb 6 | NYI | @ | TAM | |||||||||||
| Mon, Feb 9 | TAM | @ | NYR | |||||||||||
| Wed, Feb 11 | CHI | @ | TAM | |||||||||||
| Sat, Feb 14 | MTL | @ | TAM | |||||||||||
| Sun, Feb 15 | TAM | @ | CLB | |||||||||||
| Tue, Feb 17 | PIT | @ | TAM | |||||||||||
| Thu, Feb 19 | TAM | @ | DAL | |||||||||||
| Sat, Feb 21 | TAM | @ | COL | |||||||||||
| Sun, Feb 22 | NJD | @ | TAM | |||||||||||
| Wed, Feb 25 | TAM | @ | NJD | |||||||||||
| Thu, Feb 26 | EDM | @ | TAM | |||||||||||
| Fri, Feb 27 | TAM | @ | NJD | |||||||||||
| Mon, Mar 2 | TAM | @ | VAN | |||||||||||
| Tue, Mar 3 | MTL | @ | TAM | |||||||||||
| Fri, Mar 6 | TAM | @ | PIT | |||||||||||
| Sat, Mar 7 | CHI | @ | TAM | |||||||||||
| Mon, Mar 9 | TAM | @ | EDM | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Tue, Mar 10 | TAM | @ | S J | |||||||||||
| Fri, Mar 13 | COL | @ | TAM | |||||||||||
| Sat, Mar 14 | TAM | @ | LOS | |||||||||||
| Tue, Mar 17 | BOS | @ | TAM | |||||||||||
| Thu, Mar 19 | TAM | @ | SEA | |||||||||||
| Mon, Mar 23 | CLB | @ | TAM | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,547,500$ | 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 |
| 17 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,547,500$ | 3,547,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,249,985$ | 0$ | 2,051,169$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 96 | 23,062$ | 1,683,526$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,683,526$ | 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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