*** Vos line up début saison Samedi 4 octobre 16h00 ***
Last update: 2026-05-20 16:13:55
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jan Mysak | 0 | C/LW | 100.00 | 55 | 56 | 69 | 64 | 66 | 69 | 66 | 64 | 71 | 63 | 62 | 61 | 54 | 59 | 57 | 0 | 50 | 66 | 23 | 902,500$/2yrs | |||
Dylan Gambrell | 0 | C | 100.00 | 57 | 58 | 69 | 61 | 65 | 67 | 65 | 63 | 67 | 63 | 61 | 61 | 54 | 70 | 63 | 0 | 50 | 65 | 29 | 775,000$/1yrs | |||
Nate Sucese | 0 | LW | 100.00 | 55 | 56 | 70 | 62 | 58 | 67 | 65 | 64 | 55 | 62 | 63 | 62 | 54 | 70 | 63 | 0 | 50 | 65 | 29 | 775,000$/1yrs | |||
Zayde Wisdom | 0 | C/RW | 100.00 | 56 | 54 | 68 | 60 | 67 | 68 | 66 | 59 | 70 | 59 | 59 | 62 | 54 | 59 | 57 | 0 | 50 | 64 | 23 | 896,667$/1yrs | |||
Lane Pederson | 29 | C/RW | 100.00 | 56 | 56 | 69 | 58 | 66 | 61 | 60 | 61 | 71 | 62 | 59 | 59 | 58 | 68 | 62 | 0 | 50 | 63 | 28 | 775,000$/2yrs | |||
Jujhar Khaira | 16 | C | 100.00 | 55 | 55 | 71 | 57 | 77 | 61 | 60 | 58 | 70 | 59 | 57 | 59 | 54 | 74 | 65 | 0 | 50 | 62 | 31 | 775,000$/1yrs | |||
Brandon Gignac | 37 | C/LW | 100.00 | 56 | 55 | 70 | 59 | 64 | 61 | 60 | 58 | 56 | 58 | 57 | 60 | 55 | 67 | 61 | 0 | 50 | 62 | 28 | 775,000$/1yrs | |||
Carl Berglund | 0 | C/LW | 100.00 | 54 | 54 | 70 | 56 | 72 | 62 | 60 | 55 | 70 | 56 | 55 | 60 | 54 | 62 | 58 | 0 | 50 | 61 | 26 | 950,000$/1yrs | |||
Nikita Prishchepov (R) | 0 | C/LW | 100.00 | 54 | 51 | 68 | 59 | 69 | 63 | 60 | 55 | 52 | 56 | 55 | 61 | 52 | 53 | 52 | 0 | 50 | 60 | 22 | 806,667$/3yrs | |||
Nathan Todd | 0 | C/RW | 100.00 | 54 | 54 | 60 | 58 | 59 | 59 | 58 | 56 | 54 | 56 | 56 | 56 | 54 | 59 | 57 | 0 | 50 | 59 | 30 | 775,000$/1yrs | |||
Ondrej Becher (R) | 0 | C | 100.00 | 51 | 55 | 66 | 55 | 64 | 64 | 61 | 55 | 67 | 54 | 55 | 58 | 54 | 51 | 49 | 0 | 50 | 59 | 22 | 900,000$/3yrs | |||
Jani Hakanpaa | 3 | D | 100.00 | 70 | 47 | 78 | 58 | 85 | 74 | 69 | 59 | 40 | 65 | 58 | 71 | 54 | 66 | 61 | 0 | 50 | 68 | 34 | 1,470,000$/1yrs | |||
Dakota Mermis | 0 | D | 100.00 | 60 | 57 | 73 | 61 | 73 | 66 | 63 | 61 | 41 | 63 | 61 | 70 | 55 | 70 | 65 | 0 | 50 | 67 | 32 | 775,000$/1yrs | |||
Steven Santini | 63 | D | 100.00 | 57 | 56 | 69 | 60 | 77 | 68 | 65 | 59 | 41 | 60 | 56 | 67 | 55 | 71 | 63 | 0 | 50 | 65 | 31 | 775,000$/3yrs | |||
Isaiah George (R) | 0 | D | 100.00 | 54 | 47 | 78 | 78 | 72 | 60 | 59 | 58 | 39 | 61 | 59 | 65 | 52 | 55 | 56 | 0 | 50 | 65 | 22 | 918,333$/3yrs | |||
Casey Fitzgerald | 0 | D | 100.00 | 54 | 55 | 65 | 60 | 62 | 68 | 67 | 59 | 40 | 59 | 55 | 63 | 54 | 66 | 60 | 0 | 50 | 63 | 29 | 775,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
John Leonard | 43 | LW/RW | 100.00 | 56 | 66 | 70 | 68 | 65 | 70 | 67 | 66 | 55 | 62 | 68 | 65 | 59 | 66 | 60 | 0 | 50 | 68 | 27 | 775,000$/2yrs | |||
Roman Ahcan | 0 | LW | 100.00 | 56 | 57 | 68 | 59 | 58 | 67 | 65 | 60 | 54 | 60 | 61 | 63 | 54 | 65 | 59 | 0 | 50 | 64 | 27 | 775,000$/1yrs | |||
Calle Rosen | 0 | D | 100.00 | 56 | 57 | 69 | 62 | 66 | 68 | 66 | 66 | 40 | 68 | 62 | 67 | 54 | 73 | 65 | 0 | 50 | 68 | 32 | 775,000$/1yrs | |||
Nikolas Brouillard | 65 | D | 100.00 | 57 | 55 | 65 | 60 | 60 | 69 | 67 | 65 | 40 | 67 | 62 | 63 | 54 | 72 | 63 | 0 | 50 | 66 | 31 | 775,000$/1yrs | |||
Donovan Sebrango | 0 | D | 100.00 | 57 | 57 | 66 | 61 | 78 | 65 | 64 | 57 | 41 | 57 | 56 | 62 | 55 | 59 | 56 | 0 | 50 | 63 | 24 | 902,500$/2yrs | |||
Luke Prokop (R) | 0 | D | 100.00 | 55 | 54 | 69 | 55 | 73 | 60 | 58 | 55 | 40 | 55 | 54 | 61 | 54 | 56 | 54 | 0 | 50 | 60 | 24 | 794,333$/1yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Yaniv Perets | 0 | 100.00 | 64 | 56 | 56 | 66 | 61 | 67 | 61 | 64 | 67 | 62 | 65 | 61 | 56 | 0 | 50 | 66 | 26 | 805,000$/1yrs |
| Scratches | ||||||||||||||||||||
Marcus Hogberg | 0 | 100.00 | 60 | 59 | 59 | 80 | 69 | 62 | 65 | 60 | 71 | 58 | 73 | 65 | 59 | 0 | 50 | 67 | 31 | 775,000$/2yrs |
Dylan Wells | 0 | 100.00 | 59 | 60 | 61 | 62 | 65 | 56 | 68 | 60 | 60 | 63 | 72 | 67 | 58 | 0 | 50 | 64 | 28 | 775,000$/1yrs |
Hugo Alnefelt | 80 | 100.00 | 57 | 57 | 57 | 57 | 58 | 56 | 58 | 57 | 56 | 57 | 57 | 55 | 54 | 0 | 50 | 60 | 24 | 925,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dany Dube | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 59 | 4 | 0$ |
| 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 | Dylan Gambrell | Crunch (TAM) | C | 17 | 6 | 15 | 21 | 4 | 4 | 0 | 32 | 58 | 9 | 40 | 10.34% | 2 | 23.75 | 3 | 4 | 7 | 0 | 0 | 0 | 49 | 0 | 0 | 54.97% | 0 | 1 | 1.24 | 0 | 0 | 1.20 | |||
| 2 | Calle Rosen | Crunch (TAM) | D | 17 | 5 | 16 | 21 | -5 | 26 | 0 | 23 | 34 | 11 | 30 | 14.71% | 21 | 22.42 | 2 | 5 | 7 | 0 | 0 | 0 | 44 | 0 | 1 | 0.00% | 0 | 0 | 1.24 | 0 | 0 | 0.72 | |||
| 3 | Nikolas Brouillard | Crunch (TAM) | D | 17 | 6 | 12 | 18 | 4 | 12 | 0 | 18 | 32 | 4 | 27 | 18.75% | 15 | 20.09 | 3 | 6 | 9 | 0 | 0 | 0 | 44 | 2 | 0 | 0.00% | 0 | 0 | 1.06 | 0 | 0 | 0.92 | |||
| 4 | Roman Ahcan | Crunch (TAM) | LW | 13 | 7 | 10 | 17 | 7 | 6 | 0 | 12 | 44 | 8 | 19 | 15.91% | 2 | 15.44 | 3 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 1 | 48.48% | 0 | 0 | 1.31 | 0 | 0 | 1.29 | |||
| 5 | Jani Hakanpaa | Crunch (TAM) | D | 17 | 5 | 11 | 16 | 4 | 20 | 0 | 47 | 42 | 19 | 26 | 11.90% | 27 | 24.42 | 2 | 3 | 5 | 0 | 0 | 0 | 48 | 2 | 0 | 0.00% | 0 | 0 | 0.94 | 0 | 0 | 0.87 | |||
| 6 | Jan Mysak | Crunch (TAM) | C/LW | 17 | 5 | 11 | 16 | -5 | 16 | 0 | 22 | 58 | 28 | 55 | 8.62% | 4 | 23.23 | 1 | 6 | 7 | 0 | 0 | 0 | 43 | 1 | 0 | 55.28% | 0 | 0 | 0.94 | 0 | 0 | 0.74 | |||
| 7 | Dakota Mermis | Crunch (TAM) | D | 17 | 3 | 11 | 14 | 4 | 8 | 0 | 20 | 35 | 16 | 20 | 8.57% | 27 | 20.31 | 1 | 6 | 7 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0.82 | 0 | 0 | 0.84 | |||
| 8 | Lane Pederson | Crunch (TAM) | C/RW | 17 | 7 | 7 | 14 | 7 | 10 | 0 | 20 | 42 | 7 | 31 | 16.67% | 1 | 17.48 | 0 | 1 | 1 | 0 | 0 | 0 | 25 | 0 | 0 | 56.47% | 0 | 0 | 0.82 | 0 | 0 | 0.87 | |||
| 9 | Nate Sucese | Crunch (TAM) | LW | 17 | 6 | 7 | 13 | -5 | 4 | 0 | 17 | 62 | 18 | 34 | 9.68% | 3 | 20.67 | 1 | 2 | 3 | 0 | 0 | 0 | 21 | 1 | 0 | 40.74% | 0 | 0 | 0.76 | 0 | 0 | 0.73 | |||
| 10 | Jujhar Khaira | Crunch (TAM) | C | 17 | 4 | 8 | 12 | 4 | 0 | 0 | 23 | 27 | 12 | 24 | 14.81% | 1 | 21.29 | 3 | 0 | 3 | 0 | 0 | 0 | 48 | 1 | 0 | 56.12% | 0 | 0 | 0.71 | 0 | 0 | 0.75 | |||
| 11 | Isaiah George | Crunch (TAM) | D | 17 | 3 | 6 | 9 | 4 | 8 | 0 | 13 | 16 | 4 | 11 | 18.75% | 16 | 17.25 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.53 | 0 | 0 | 0.48 | |||
| 12 | John Leonard | Crunch (TAM) | LW/RW | 15 | 5 | 3 | 8 | 1 | 8 | 0 | 13 | 35 | 10 | 21 | 14.29% | 1 | 13.12 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 2 | 0 | 43.24% | 0 | 0 | 0.53 | 0 | 0 | 0.51 | |||
| 13 | Brandon Gignac | Crunch (TAM) | C/LW | 17 | 2 | 6 | 8 | 3 | 8 | 0 | 24 | 17 | 7 | 24 | 11.76% | 4 | 16.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78.57% | 0 | 0 | 0.47 | 0 | 0 | 0.44 | |||
| 14 | Zayde Wisdom | Crunch (TAM) | C/RW | 17 | 3 | 3 | 6 | -3 | 10 | 0 | 29 | 21 | 8 | 26 | 14.29% | 2 | 16.95 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 55.56% | 0 | 0 | 0.35 | 0 | 0 | 0.26 | |||
| 15 | Carl Berglund | Crunch (TAM) | C/LW | 17 | 1 | 4 | 5 | 1 | 2 | 0 | 13 | 23 | 2 | 9 | 4.35% | 4 | 10.13 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 1 | 0 | 51.55% | 0 | 0 | 0.29 | 0 | 0 | 0.33 | |||
| 16 | Steven Santini | Crunch (TAM) | D | 7 | 0 | 2 | 2 | 0 | 4 | 0 | 12 | 4 | 3 | 6 | 0.00% | 12 | 17.19 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.26 | |||
| 17 | Nikita Prishchepov | Crunch (TAM) | C/LW | 17 | 1 | 0 | 1 | -3 | 0 | 0 | 1 | 5 | 1 | 6 | 20.00% | 0 | 2.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.06 | 0 | 0 | 0.02 | |||
| 18 | Nathan Todd | Crunch (TAM) | C/RW | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1.98 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
| 19 | Casey Fitzgerald | Crunch (TAM) | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 2.76 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
| 20 | Ondrej Becher | Crunch (TAM) | C | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 296 | 69 | 132 | 201 | 22 | 146 | 0 | 339 | 556 | 168 | 410 | 12.41% | 142 | 16.57 | 19 | 36 | 55 | 553 | 0 | 0 | 0 | 411 | 10 | 2 | 53.92% | 1480 | 0 | 0 | 0 | 1 | 0.82 | 0 | 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 |
| # | 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 | Marcus Hogberg | Crunch (TAM) | 17 | 9 | 7 | 0 | 0.888 | 3.76 | 958 | 0 | 1 | 60 | 534 | 0 | 0 | 1 | 0.000 | 0 | 17 | 0 | 1 | 0 | 0 |
| 2 | Yaniv Perets | Crunch (TAM) | 2 | 1 | 0 | 0 | 0.922 | 3.00 | 80 | 0 | 0 | 4 | 51 | 0 | 0 | 0 | 0.000 | 0 | 0 | 17 | 0 | 0 | 0 |
| Team Total or Average | 19 | 10 | 7 | 0 | 0.891 | 3.70 | 1038 | 0 | 1 | 64 | 585 | 0 | 0 | 1 | 0.000 | 0 | 17 | 17 | 1 | 0 | 0 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Gignac ![]() | C/LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Calle Rosen ![]() | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Carl Berglund ![]() | C/LW | 26 | 950,000$ | 950,000$ | RFA | ||||||
Casey Fitzgerald ![]() | D | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Dakota Mermis ![]() | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Donovan Sebrango | D | 24 | 902,500$ | 902,500$ | 775,000$ | RFA | |||||
Dylan Gambrell ![]() | C | 29 | 775,000$ | 775,000$ | UFA | ||||||
Dylan Wells ![]() | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Hugo Alnefelt | G | 24 | 925,000$ | 925,000$ | RFA | ||||||
Isaiah George | D | 22 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Jan Mysak | C/LW | 23 | 902,500$ | 902,500$ | 775,000$ | RFA | |||||
Jani Hakanpaa ![]() | D | 34 | 1,470,000$ | 1,470,000$ | UFA | ||||||
John Leonard ![]() | LW/RW | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jujhar Khaira ![]() | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
Lane Pederson ![]() | C/RW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Luke Prokop | D | 24 | 794,333$ | 794,333$ | RFA | ||||||
Marcus Hogberg ![]() | G | 31 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Nate Sucese ![]() | LW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Nathan Todd ![]() | C/RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Nikita Prishchepov | C/LW | 22 | 806,667$ | 806,667$ | 806,667$ | 806,667$ | RFA | ||||
Nikolas Brouillard ![]() | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Ondrej Becher | C | 22 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA | ||||
Roman Ahcan ![]() | LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Steven Santini ![]() | D | 31 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Yaniv Perets ![]() | G | 26 | 805,000$ | 805,000$ | RFA | ||||||
Zayde Wisdom | C/RW | 23 | 896,667$ | 896,667$ | RFA |
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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 | Checkers | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 17 | 7 | 8 | 1.000 | 24 | 46 | 70 | 0 | 0 | 32 | 20 | 15 | 3 | 152 | 195 | 178 | 176 | 16 | 121 | 25 | 26 | 76 | 17 | 6 | 35.29% | 11 | 5 | 54.55% | 0 | 300 | 572 | 52.45% | 328 | 601 | 54.58% | 170 | 307 | 55.37% | 412 | 280 | 393 | 130 | 233 | 117 | 60.0% | 15.8% | 86.0% | 101.7 | FUN |
| 2 | Binghamton Senateurs | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 29 | 25 | 4 | 8 | 0.571 | 29 | 54 | 83 | 0 | 1 | 32 | 20 | 15 | 3 | 238 | 195 | 178 | 176 | 16 | 238 | 70 | 72 | 153 | 30 | 7 | 23.33% | 33 | 8 | 75.76% | 0 | 300 | 572 | 52.45% | 328 | 601 | 54.58% | 170 | 307 | 55.37% | 412 | 280 | 393 | 130 | 233 | 117 | 56.4% | 12.2% | 89.5% | 101.7 | FUN |
| 3 | Wolves | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 23 | -6 | 4 | 0.333 | 17 | 33 | 50 | 1 | 0 | 32 | 20 | 15 | 3 | 175 | 195 | 178 | 176 | 16 | 227 | 61 | 50 | 128 | 19 | 6 | 31.58% | 24 | 5 | 79.17% | 0 | 300 | 572 | 52.45% | 328 | 601 | 54.58% | 170 | 307 | 55.37% | 412 | 280 | 393 | 130 | 233 | 117 | 37.9% | 9.7% | 89.9% | 99.6 | FUN |
| _Vs Division | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 53 | 42 | 11 | 16 | 0.727 | 53 | 100 | 153 | 0 | 1 | 32 | 20 | 15 | 3 | 390 | 195 | 178 | 176 | 16 | 359 | 95 | 98 | 229 | 47 | 13 | 27.66% | 44 | 13 | 70.45% | 0 | 300 | 572 | 52.45% | 328 | 601 | 54.58% | 170 | 307 | 55.37% | 412 | 280 | 393 | 130 | 233 | 117 | 58.0% | 13.6% | 88.3% | 101.9 | FUN | |
| _Vs Conference | 17 | 10 | 7 | 0 | 0 | 0 | 0 | 0 | 70 | 65 | 5 | 20 | 0.588 | 70 | 133 | 203 | 1 | 1 | 32 | 20 | 15 | 3 | 565 | 195 | 178 | 176 | 16 | 586 | 156 | 148 | 357 | 66 | 19 | 28.79% | 68 | 18 | 73.53% | 0 | 300 | 572 | 52.45% | 328 | 601 | 54.58% | 170 | 307 | 55.37% | 412 | 280 | 393 | 130 | 233 | 117 | 52.0% | 12.4% | 88.9% | 101.3 | FUN | |
| _Since Last GM Reset | 17 | 10 | 7 | 0 | 0 | 0 | 0 | 0 | 70 | 65 | 5 | 20 | 0.588 | 70 | 133 | 203 | 1 | 1 | 32 | 20 | 15 | 3 | 565 | 195 | 178 | 176 | 16 | 586 | 156 | 148 | 357 | 66 | 19 | 28.79% | 68 | 18 | 73.53% | 0 | 300 | 572 | 52.45% | 328 | 601 | 54.58% | 170 | 307 | 55.37% | 412 | 280 | 393 | 130 | 233 | 117 | 52.0% | 12.4% | 88.9% | 101.3 | FUN | |
| Total | 17 | 10 | 7 | 0 | 0 | 0 | 0 | 0 | 70 | 65 | 5 | 20 | 0.588 | 70 | 133 | 203 | 1 | 1 | 32 | 20 | 15 | 3 | 565 | 195 | 178 | 176 | 16 | 586 | 156 | 148 | 357 | 66 | 19 | 28.79% | 68 | 18 | 73.53% | 0 | 300 | 572 | 52.45% | 328 | 601 | 54.58% | 170 | 307 | 55.37% | 412 | 280 | 393 | 130 | 233 | 117 | 52.0% | 12.4% | 88.9% | 101.3 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 572 |
| Neutral Zone Start | 307 |
| Defensive Zone Start | 601 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 798 |
| Faceoffs Lost | 682 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.5 | 9.57 |
| 2nd Period | 21.9 | 20.31 |
| 3rd Period | 32.3 | 30.68 |
| Overtime | 33.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.9 | 0.64 |
| 2nd Period | 3.1 | 1.65 |
| 3rd Period | 3.9 | 2.67 |
| Overtime | 4.1 | 2.83 |
| Even Strenght Goal | 50 |
|---|---|
| PP Goal | 19 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 5 | 5 |
| Lost | 3 | 4 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 66 |
|---|---|
| PP Goal | 19 |
| PK Attempt | 68 |
| PK Goal Against | 18 |
| Home | |
|---|---|
| Shots For | 33.2 |
| Shots Against | 34.5 |
| Goals For | 4.1 |
| Goals Against | 3.8 |
| Hits | 21.0 |
| Shots Blocked | 9.2 |
| Pim | 8.7 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sun, Mar 29 | SYR | @ | CHA | SYR7,CHA5 | RECAP | |||||||||
| Tue, Mar 31 | SYR | @ | CHA | SYR5,CHA4 (OT) | RECAP | |||||||||
| Thu, Apr 2 | CHA | @ | SYR | CHA3,SYR5 | RECAP | |||||||||
| Sat, Apr 4 | CHA | @ | SYR | CHA5,SYR7 | RECAP | |||||||||
| Sun, Apr 12 | SYR | @ | BNG | SYR2,BNG7 | RECAP | |||||||||
| Tue, Apr 14 | SYR | @ | BNG | SYR2,BNG4 | RECAP | |||||||||
| Thu, Apr 16 | BNG | @ | SYR | BNG2,SYR6 | RECAP | |||||||||
| Sat, Apr 18 | BNG | @ | SYR | BNG4,SYR6 | RECAP | |||||||||
| Mon, Apr 20 | SYR | @ | BNG | SYR6,BNG5 (OT) | RECAP | |||||||||
| Wed, Apr 22 | BNG | @ | SYR | BNG3,SYR1 | RECAP | |||||||||
| Fri, Apr 24 | SYR | @ | BNG | SYR6,BNG0 | RECAP | |||||||||
| Sun, Apr 26 | CHW | @ | SYR | CHW4,SYR5 (OT) | RECAP | |||||||||
| Tue, Apr 28 | CHW | @ | SYR | CHW4,SYR3 | RECAP | |||||||||
| Thu, Apr 30 | SYR | @ | CHW | SYR5,CHW3 | RECAP | |||||||||
| Sat, May 2 | SYR | @ | CHW | SYR2,CHW4 | RECAP | |||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Mon, May 4 | CHW | @ | SYR | CHW4,SYR0 | RECAP | |||||||||
| Wed, May 6 | SYR | @ | CHW | SYR2,CHW4 | RECAP | |||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,189,600$ | 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 | 38$ | 18$ | $ | $ | $ |
| Attendance | 14156 | 7710 | |||
| Attendance PCT | 88.48% | 96.38% | 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 |
| 33 | 2733 - 91.11% | 126,037$ | 1,008,295$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,189,600$ | 2,189,600$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 0$ | 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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