***Bonne chance pour le reste de saison***
Last update: 2024-04-18 05:45:30
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Seth Griffith | 15 | C/RW | 99.00 | 55 | 61 | 65 | 60 | 60 | 67 | 65 | 64 | 55 | 62 | 61 | 60 | 56 | 69 | 61 | 0 | 50 | 64 | 31 | 762,500$/2yrs | |||
John Leonard | 43 | LW | 99.00 | 55 | 59 | 68 | 63 | 64 | 66 | 63 | 60 | 55 | 59 | 60 | 59 | 57 | 60 | 56 | 0 | 50 | 63 | 25 | 750,000$/2yrs | |||
Kyle Criscuolo | 42 | C | 99.00 | 55 | 59 | 66 | 61 | 57 | 65 | 64 | 59 | 70 | 57 | 59 | 58 | 55 | 70 | 62 | 0 | 50 | 62 | 31 | 750,000$/2yrs | |||
Charles Gerard | 0 | C | 100.00 | 57 | 37 | 89 | 53 | 66 | 77 | 83 | 54 | 61 | 55 | 56 | 52 | 55 | 67 | 69 | 0 | 50 | 62 | 28 | 750,000$/1yrs | |||
Brandon Gignac | 37 | C/LW | 100.00 | 54 | 55 | 67 | 59 | 59 | 63 | 62 | 59 | 55 | 58 | 58 | 62 | 56 | 62 | 57 | 0 | 50 | 62 | 26 | 750,000$/3yrs | |||
Danick Martel | 0 | C/LW | 100.00 | 55 | 56 | 66 | 59 | 57 | 61 | 60 | 57 | 55 | 56 | 57 | 59 | 56 | 67 | 60 | 0 | 50 | 61 | 29 | 750,000$/1yrs | |||
Bobby Lynch | 0 | RW | 100.00 | 54 | 57 | 67 | 59 | 59 | 65 | 63 | 57 | 55 | 56 | 57 | 60 | 54 | 60 | 56 | 0 | 50 | 61 | 25 | 775,000$/1yrs | |||
Nate Schnarr (R) | 16 | C | 100.00 | 55 | 55 | 66 | 58 | 63 | 64 | 62 | 56 | 70 | 56 | 57 | 60 | 54 | 58 | 55 | 0 | 50 | 61 | 25 | 750,000$/1yrs | |||
Alex-Olivier Voyer | 15 | RW | 100.00 | 55 | 54 | 67 | 55 | 64 | 57 | 57 | 54 | 55 | 54 | 54 | 61 | 54 | 58 | 55 | 0 | 50 | 59 | 25 | 775,000$/1yrs | |||
Carson Focht | 8 | C | 100.00 | 55 | 54 | 67 | 55 | 61 | 56 | 56 | 54 | 70 | 54 | 55 | 60 | 54 | 56 | 54 | 0 | 50 | 59 | 24 | 883,333$/1yrs | |||
Zayde Wisdom (R) | 0 | C/RW | 100.00 | 55 | 55 | 63 | 55 | 60 | 60 | 59 | 55 | 65 | 55 | 55 | 59 | 54 | 54 | 53 | 0 | 50 | 59 | 21 | 896,667$/2yrs | |||
Libor Hajek | 25 | D | 100.00 | 60 | 46 | 76 | 65 | 75 | 64 | 61 | 54 | 40 | 62 | 56 | 71 | 54 | 58 | 57 | 0 | 50 | 65 | 26 | 800,000$/1yrs | |||
Trevor Carrick | 3 | D | 100.00 | 55 | 58 | 65 | 62 | 66 | 66 | 64 | 61 | 40 | 59 | 59 | 63 | 54 | 67 | 60 | 0 | 50 | 64 | 29 | 750,000$/2yrs | |||
Robbie Russo | 44 | D | 100.00 | 54 | 55 | 67 | 61 | 62 | 68 | 65 | 59 | 40 | 58 | 56 | 59 | 54 | 69 | 61 | 0 | 50 | 62 | 31 | 750,000$/1yrs | |||
Noah Juulsen | 47 | D | 100.00 | 59 | 53 | 67 | 58 | 68 | 64 | 62 | 56 | 40 | 58 | 55 | 64 | 54 | 61 | 57 | 0 | 50 | 62 | 27 | 750,000$/3yrs | |||
Jacob Moverare | 57 | D | 100.00 | 55 | 54 | 66 | 57 | 68 | 64 | 62 | 57 | 40 | 57 | 55 | 60 | 54 | 60 | 56 | 0 | 50 | 61 | 25 | 762,500$/2yrs | |||
Donovan Sebrango (R) | 0 | D | 100.00 | 55 | 56 | 67 | 56 | 64 | 63 | 61 | 55 | 40 | 55 | 55 | 59 | 54 | 53 | 52 | 0 | 50 | 60 | 22 | 902,500$/3yrs | |||
Josh Brook | 0 | D | 100.00 | 56 | 54 | 67 | 55 | 64 | 56 | 56 | 55 | 40 | 55 | 54 | 62 | 54 | 58 | 55 | 0 | 50 | 60 | 24 | 910,833$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Lane Pederson | 29 | C | 100.00 | 66 | 60 | 76 | 58 | 71 | 61 | 61 | 57 | 71 | 64 | 60 | 64 | 54 | 58 | 57 | 0 | 50 | 64 | 26 | 750,000$/3yrs | |||
Pavel Gogolev | 20 | C/LW | 100.00 | 54 | 55 | 68 | 54 | 65 | 56 | 56 | 54 | 55 | 54 | 54 | 60 | 54 | 56 | 54 | 0 | 50 | 59 | 24 | 837,167$/2yrs | |||
Alexandre Fortin | 26 | C/LW | 100.00 | 54 | 55 | 68 | 55 | 61 | 56 | 56 | 54 | 55 | 54 | 54 | 61 | 55 | 62 | 57 | 0 | 50 | 59 | 27 | 750,000$/1yrs | |||
Jan Mysak | 0 | C | 100.00 | 54 | 54 | 63 | 56 | 58 | 60 | 58 | 55 | 65 | 55 | 55 | 57 | 54 | 54 | 53 | 0 | 50 | 59 | 21 | 750,000$/3yrs | |||
Chad Yetman | 65 | C/RW | 100.00 | 54 | 54 | 68 | 54 | 59 | 56 | 56 | 54 | 55 | 54 | 54 | 61 | 54 | 56 | 54 | 0 | 50 | 58 | 24 | 750,000$/1yrs | |||
Pierre-Cedric Labrie | 36 | C | 100.00 | 53 | 51 | 63 | 52 | 59 | 55 | 54 | 52 | 52 | 52 | 52 | 59 | 51 | 52 | 50 | 0 | 50 | 56 | 37 | 1,270,800$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hugo Alnefelt | 80 | 98.00 | 60 | 62 | 62 | 69 | 66 | 59 | 66 | 61 | 58 | 59 | 59 | 54 | 51 | 0 | 50 | 63 | 22 | 925,000$/2yrs |
Christopher Gibson | 33 | 100.00 | 58 | 59 | 59 | 66 | 65 | 58 | 67 | 59 | 59 | 57 | 60 | 73 | 63 | 0 | 50 | 62 | 31 | 750,000$/1yrs |
| Scratches | ||||||||||||||||||||
Jack Lafontaine | 34 | 100.00 | 55 | 56 | 56 | 69 | 65 | 55 | 67 | 56 | 57 | 56 | 64 | 60 | 55 | 0 | 50 | 60 | 26 | 750,000$/1yrs |
Daniil Chechelev | 0 | 100.00 | 54 | 54 | 55 | 69 | 63 | 54 | 65 | 55 | 59 | 56 | 63 | 54 | 51 | 0 | 50 | 59 | 23 | 750,000$/1yrs |
Joe Vrbetic | 0 | 100.00 | 52 | 52 | 52 | 73 | 61 | 51 | 63 | 52 | 54 | 52 | 62 | 49 | 48 | 0 | 50 | 57 | 21 | 750,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dany Dube | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 57 | 4 | 0$ |
| 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 | Libor Hajek | Crunch (TAM) | D | 80 | 16 | 63 | 79 | -2 | 76 | 0 | 137 | 193 | 58 | 122 | 8.29% | 142 | 21.33 | 7 | 16 | 23 | 0 | 0 | 0 | 206 | 2 | 0 | 0.00% | 0 | 0 | 0.99 | 0 | 0 | 0.81 | |||
| 2 | Brandon Gignac | Crunch (TAM) | C/LW | 82 | 30 | 49 | 79 | -24 | 28 | 0 | 136 | 256 | 82 | 173 | 11.72% | 30 | 19.18 | 11 | 24 | 35 | 0 | 1 | 1 | 109 | 4 | 1 | 44.81% | 0 | 0 | 0.96 | 0 | 0 | 0.82 | |||
| 3 | Seth Griffith | Crunch (TAM) | C/RW | 76 | 31 | 42 | 73 | -11 | 37 | 5 | 104 | 281 | 72 | 204 | 11.03% | 16 | 19.92 | 5 | 6 | 11 | 0 | 0 | 0 | 110 | 3 | 2 | 47.26% | 0 | 2 | 0.96 | 0 | 2 | 0.88 | |||
| 4 | Kyle Criscuolo | Crunch (TAM) | C | 82 | 28 | 41 | 69 | -18 | 46 | 10 | 155 | 242 | 60 | 175 | 11.57% | 13 | 19.39 | 10 | 14 | 24 | 1 | 0 | 1 | 82 | 1 | 1 | 55.10% | 0 | 0 | 0.84 | 1 | 3 | 0.72 | |||
| 5 | Trevor Carrick | Crunch (TAM) | D | 82 | 18 | 50 | 68 | -3 | 54 | 10 | 179 | 164 | 68 | 113 | 10.98% | 106 | 22.35 | 9 | 13 | 22 | 0 | 0 | 0 | 228 | 5 | 2 | 0.00% | 0 | 1 | 0.83 | 0 | 0 | 0.72 | |||
| 6 | John Leonard | Crunch (TAM) | LW | 80 | 22 | 40 | 62 | -16 | 49 | 15 | 131 | 228 | 78 | 188 | 9.65% | 16 | 21.06 | 7 | 9 | 16 | 0 | 0 | 0 | 165 | 4 | 1 | 44.87% | 0 | 0 | 0.78 | 0 | 0 | 0.62 | |||
| 7 | Robbie Russo | Crunch (TAM) | D | 81 | 8 | 47 | 55 | -11 | 34 | 0 | 118 | 112 | 36 | 83 | 7.14% | 77 | 17.08 | 3 | 15 | 18 | 0 | 0 | 0 | 46 | 0 | 0 | 0.00% | 0 | 0 | 0.68 | 0 | 0 | 0.52 | |||
| 8 | Noah Juulsen | Crunch (TAM) | D | 82 | 13 | 37 | 50 | -36 | 50 | 0 | 146 | 106 | 37 | 89 | 12.26% | 145 | 19.44 | 8 | 7 | 15 | 0 | 1 | 1 | 170 | 0 | 2 | 0.00% | 0 | 0 | 0.61 | 0 | 0 | 0.39 | |||
| 9 | Nate Schnarr | Crunch (TAM) | C | 81 | 22 | 26 | 48 | -9 | 28 | 0 | 112 | 160 | 39 | 139 | 13.75% | 22 | 14.95 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 50.91% | 0 | 0 | 0.59 | 0 | 0 | 0.52 | |||
| 10 | Charles Gerard | Crunch (TAM) | C | 81 | 10 | 32 | 42 | -13 | 16 | 0 | 53 | 129 | 41 | 93 | 7.75% | 11 | 18.76 | 2 | 17 | 19 | 0 | 0 | 0 | 118 | 0 | 0 | 50.15% | 0 | 0 | 0.52 | 0 | 2 | 0.39 | |||
| 11 | Danick Martel | Crunch (TAM) | C/LW | 77 | 20 | 19 | 39 | -2 | 36 | 0 | 90 | 158 | 50 | 112 | 12.66% | 17 | 16.03 | 1 | 4 | 5 | 0 | 0 | 0 | 80 | 3 | 1 | 48.80% | 0 | 0 | 0.51 | 0 | 1 | 0.48 | |||
| 12 | Bobby Lynch | Crunch (TAM) | RW | 70 | 20 | 16 | 36 | -15 | 20 | 0 | 69 | 138 | 51 | 105 | 14.49% | 10 | 14.09 | 2 | 0 | 2 | 0 | 0 | 0 | 68 | 0 | 0 | 48.19% | 0 | 0 | 0.51 | 1 | 1 | 0.43 | |||
| 13 | Lane Pederson | Crunch (TAM) | C | 41 | 18 | 17 | 35 | -3 | 40 | 10 | 93 | 131 | 30 | 94 | 13.74% | 10 | 16.54 | 4 | 1 | 5 | 0 | 0 | 0 | 48 | 0 | 1 | 50.65% | 0 | 0 | 0.85 | 0 | 1 | 0.75 | |||
| 14 | Donovan Sebrango | Crunch (TAM) | D | 80 | 7 | 26 | 33 | 0 | 54 | 0 | 128 | 75 | 33 | 47 | 9.33% | 104 | 17.81 | 0 | 2 | 2 | 0 | 0 | 0 | 149 | 1 | 0 | 0.00% | 0 | 0 | 0.41 | 0 | 0 | 0.34 | |||
| 15 | Jacob Moverare | Crunch (TAM) | D | 74 | 14 | 19 | 33 | -32 | 46 | 0 | 123 | 106 | 29 | 64 | 13.21% | 90 | 19.68 | 9 | 6 | 15 | 0 | 0 | 0 | 172 | 2 | 0 | 0.00% | 0 | 0 | 0.45 | 0 | 0 | 0.26 | |||
| 16 | Carson Focht | Crunch (TAM) | C | 58 | 7 | 11 | 18 | -13 | 8 | 0 | 33 | 63 | 27 | 45 | 11.11% | 7 | 8.61 | 3 | 5 | 8 | 0 | 0 | 0 | 74 | 0 | 0 | 58.73% | 0 | 0 | 0.31 | 0 | 1 | 0.23 | |||
| 17 | Zayde Wisdom | Crunch (TAM) | C/RW | 40 | 7 | 4 | 11 | 0 | 8 | 0 | 40 | 38 | 9 | 29 | 18.42% | 5 | 9.04 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 50.00% | 0 | 0 | 0.28 | 0 | 0 | 0.27 | |||
| 18 | Josh Brook | Crunch (TAM) | D | 51 | 2 | 7 | 9 | -14 | 24 | 0 | 36 | 22 | 10 | 20 | 9.09% | 37 | 8.67 | 1 | 2 | 3 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.03 | |||
| 19 | Jan Mysak | Crunch (TAM) | C | 38 | 0 | 6 | 6 | -14 | 6 | 0 | 25 | 24 | 6 | 27 | 0.00% | 2 | 7.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.83% | 0 | 0 | 0.16 | 0 | 0 | 0.02 | |||
| 20 | Alex-Olivier Voyer | Crunch (TAM) | RW | 70 | 1 | 1 | 2 | 6 | 6 | 0 | 10 | 15 | 3 | 12 | 6.67% | 1 | 2.00 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 50.00% | 0 | 0 | 0.03 | 0 | 0 | 0.06 | |||
| 21 | Pavel Gogolev | Crunch (TAM) | C/LW | 16 | 0 | 1 | 1 | 0 | 2 | 0 | 3 | 0 | 3 | 3 | 0.00% | 1 | 1.15 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 100.00% | 0 | 0 | 0.06 | 0 | 0 | 0.04 | |||
| 22 | Alexandre Fortin | Crunch (TAM) | C/LW | 5 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 1.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.07 | |||
| Team Total or Average | 1427 | 294 | 554 | 848 | -231 | 668 | 50 | 1922 | 2641 | 822 | 1937 | 11.13% | 862 | 16.21 | 82 | 142 | 224 | 2564 | 1 | 2 | 3 | 1880 | 29 | 11 | 48.67% | 7201 | 0 | 0 | 0 | 3 | 0.73 | 2 | 11 |
| 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 | Hugo Alnefelt | Crunch (TAM) | 59 | 23 | 26 | 4 | 0.884 | 4.25 | 3120 | 6 | 1 | 221 | 1911 | 0 | 0 | 1 | 0.833 | 12 | 58 | 21 | 2 | 1 | 0 |
| 2 | Christopher Gibson | Crunch (TAM) | 37 | 10 | 14 | 4 | 0.895 | 3.79 | 1804 | 0 | 0 | 114 | 1084 | 0 | 2 | 0 | 0.500 | 2 | 24 | 57 | 0 | 0 | 2 |
| 3 | Jack Lafontaine | Crunch (TAM) | 1 | 0 | 1 | 0 | 0.938 | 2.31 | 26 | 0 | 0 | 1 | 16 | 0 | 0 | 0 | 0.000 | 0 | 0 | 4 | 0 | 0 | 0 |
| Team Total or Average | 97 | 33 | 41 | 8 | 0.888 | 4.07 | 4950 | 6 | 1 | 336 | 3011 | 0 | 2 | 1 | 0.786 | 14 | 82 | 82 | 2 | 1 | 2 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex-Olivier Voyer ![]() | RW | 25 | 775,000$ | 775,000$ | UFA | ||||||
Alexandre Fortin ![]() | C/LW | 27 | 750,000$ | 750,000$ | UFA | ||||||
Bobby Lynch ![]() | RW | 25 | 775,000$ | 775,000$ | UFA | ||||||
Brandon Gignac ![]() | C/LW | 26 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Carson Focht | C | 24 | 883,333$ | 883,333$ | RFA | ||||||
Chad Yetman | C/RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Charles Gerard ![]() | C | 28 | 750,000$ | 750,000$ | UFA | ||||||
Christopher Gibson ![]() | G | 31 | 750,000$ | 750,000$ | UFA | ||||||
Danick Martel ![]() | C/LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Daniil Chechelev | G | 23 | 750,000$ | 750,000$ | RFA | ||||||
Donovan Sebrango | D | 22 | 902,500$ | 902,500$ | 902,500$ | 902,500$ | RFA | ||||
Hugo Alnefelt | G | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jack Lafontaine ![]() | G | 26 | 750,000$ | 750,000$ | UFA | ||||||
Jacob Moverare ![]() | D | 25 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Jan Mysak | C | 21 | 750,000$ | 925,000$ | 902,500$ | 902,500$ | RFA | ||||
Joe Vrbetic | G | 21 | 750,000$ | 750,000$ | RFA | ||||||
John Leonard ![]() | LW | 25 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Josh Brook | D | 24 | 910,833$ | 910,833$ | UFA | ||||||
Kyle Criscuolo ![]() | C | 31 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Lane Pederson ![]() | C | 26 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Libor Hajek ![]() | D | 26 | 800,000$ | 800,000$ | UFA | ||||||
Nate Schnarr ![]() | C | 25 | 750,000$ | 750,000$ | UFA | ||||||
Noah Juulsen ![]() | D | 27 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Pavel Gogolev | C/LW | 24 | 837,167$ | 837,167$ | 837,167$ | UFA | |||||
Pierre-Cedric Labrie ![]() | C | 37 | 1,270,800$ | 1,270,800$ | UFA | ||||||
Robbie Russo ![]() | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
Seth Griffith ![]() | C/RW | 31 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Trevor Carrick ![]() | D | 29 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Zayde Wisdom | C/RW | 21 | 896,667$ | 896,667$ | 896,667$ | RFA |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
| |||||
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
| ||||||
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| 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 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 22 | 18 | 4 | 5 | 0.625 | 22 | 38 | 60 | 0 | 0 | 134 | 88 | 90 | 6 | 146 | 937 | 919 | 924 | 42 | 156 | 48 | 43 | 113 | 17 | 6 | 35.29% | 17 | 2 | 88.24% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 50.0% | 15.1% | 88.5% | 103.5 | FUN |
| 2 | Marlies | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 2 | 0.333 | 11 | 22 | 33 | 1 | 0 | 134 | 88 | 90 | 6 | 97 | 937 | 919 | 924 | 42 | 110 | 41 | 30 | 97 | 14 | 5 | 35.71% | 14 | 1 | 92.86% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 37.5% | 11.3% | 90.0% | 101.3 | FUN |
| 3 | Americans | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 12 | 1 | 4 | 0.500 | 13 | 24 | 37 | 0 | 0 | 134 | 88 | 90 | 6 | 134 | 937 | 919 | 924 | 42 | 156 | 36 | 20 | 106 | 12 | 4 | 33.33% | 9 | 1 | 88.89% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 45.0% | 9.7% | 92.3% | 102.0 | LUCKY |
| 4 | Binghamton Senateurs | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 134 | 88 | 90 | 6 | 64 | 937 | 919 | 924 | 42 | 98 | 23 | 56 | 51 | 11 | 0 | 0.00% | 16 | 2 | 87.50% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 23.1% | 4.7% | 87.8% | 92.4 | Unlucky |
| 5 | Bears | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 15 | -4 | 2 | 0.333 | 11 | 17 | 28 | 0 | 0 | 134 | 88 | 90 | 6 | 111 | 937 | 919 | 924 | 42 | 113 | 38 | 22 | 54 | 16 | 3 | 18.75% | 10 | 2 | 80.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 38.1% | 9.9% | 86.7% | 96.6 | FUN |
| 6 | Rockets | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 17 | 10 | 7 | 6 | 0.750 | 17 | 31 | 48 | 0 | 1 | 134 | 88 | 90 | 6 | 118 | 937 | 919 | 924 | 42 | 143 | 38 | 41 | 95 | 13 | 4 | 30.77% | 16 | 1 | 93.75% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 59.1% | 14.4% | 93.0% | 107.4 | LUCKY |
| 7 | Providence Bruins | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 15 | -8 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 134 | 88 | 90 | 6 | 124 | 937 | 919 | 924 | 42 | 127 | 50 | 41 | 99 | 14 | 1 | 7.14% | 16 | 3 | 81.25% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 33.3% | 5.6% | 88.2% | 93.8 | Unlucky |
| 8 | Wolves | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 9 | 5 | 6 | 1.000 | 14 | 26 | 40 | 0 | 0 | 134 | 88 | 90 | 6 | 110 | 937 | 919 | 924 | 42 | 110 | 40 | 31 | 69 | 9 | 1 | 11.11% | 13 | 2 | 84.62% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 65.0% | 12.7% | 91.8% | 104.5 | LUCKY |
| 9 | Eagles | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 134 | 88 | 90 | 6 | 47 | 937 | 919 | 924 | 42 | 72 | 26 | 18 | 43 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 40.0% | 10.6% | 88.9% | 99.5 | FUN |
| 10 | Phantoms | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 0.667 | 12 | 23 | 35 | 0 | 0 | 134 | 88 | 90 | 6 | 123 | 937 | 919 | 924 | 42 | 92 | 31 | 20 | 88 | 15 | 5 | 33.33% | 9 | 2 | 77.78% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 50.0% | 9.8% | 90.2% | 100.0 | FUN |
| 11 | Wolf Pack | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 21 | 32 | 0 | 0 | 134 | 88 | 90 | 6 | 88 | 937 | 919 | 924 | 42 | 90 | 32 | 20 | 76 | 13 | 2 | 15.38% | 8 | 2 | 75.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 56.3% | 12.5% | 90.0% | 102.5 | FUN |
| 12 | islanders | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 14 | 1 | 4 | 0.667 | 15 | 27 | 42 | 0 | 0 | 134 | 88 | 90 | 6 | 102 | 937 | 919 | 924 | 42 | 86 | 18 | 20 | 72 | 17 | 7 | 41.18% | 8 | 4 | 50.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 44.4% | 14.7% | 83.7% | 98.4 | FUN |
| 13 | IceHogs | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 11 | -3 | 1 | 0.250 | 8 | 14 | 22 | 0 | 0 | 134 | 88 | 90 | 6 | 89 | 937 | 919 | 924 | 42 | 69 | 23 | 23 | 62 | 7 | 3 | 42.86% | 8 | 0 | 100.00% | 1 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 31.3% | 9.0% | 84.1% | 93.0 | FUN |
| 14 | Griffins | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 15 | 2 | 4 | 0.500 | 17 | 31 | 48 | 0 | 0 | 134 | 88 | 90 | 6 | 132 | 937 | 919 | 924 | 42 | 140 | 40 | 38 | 89 | 15 | 4 | 26.67% | 19 | 4 | 78.95% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 54.2% | 12.9% | 89.3% | 102.2 | FUN |
| 15 | Monsters | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 11 | 17 | -6 | 3 | 0.500 | 11 | 20 | 31 | 0 | 0 | 134 | 88 | 90 | 6 | 100 | 937 | 919 | 924 | 42 | 126 | 38 | 24 | 74 | 15 | 3 | 20.00% | 11 | 5 | 54.55% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 40.0% | 11.0% | 86.5% | 97.5 | FUN |
| 16 | Barracuda | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 8 | 3 | 3 | 0.750 | 11 | 20 | 31 | 0 | 0 | 134 | 88 | 90 | 6 | 76 | 937 | 919 | 924 | 42 | 81 | 23 | 13 | 41 | 9 | 2 | 22.22% | 3 | 0 | 100.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 52.9% | 14.5% | 90.1% | 104.6 | FUN |
| 17 | Condors | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 134 | 88 | 90 | 6 | 50 | 937 | 919 | 924 | 42 | 86 | 22 | 12 | 52 | 3 | 1 | 33.33% | 6 | 3 | 50.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 44.4% | 10.0% | 90.7% | 100.7 | FUN |
| 18 | Iowa Wild | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 134 | 88 | 90 | 6 | 61 | 937 | 919 | 924 | 42 | 73 | 28 | 14 | 43 | 10 | 2 | 20.00% | 6 | 3 | 50.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 45.5% | 11.5% | 87.7% | 99.1 | FUN |
| 19 | Reign | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 134 | 88 | 90 | 6 | 51 | 937 | 919 | 924 | 42 | 94 | 21 | 18 | 50 | 5 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 50.0% | 11.8% | 90.4% | 102.2 | FUN |
| 20 | Thunderbirds | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 1.000 | 11 | 22 | 33 | 0 | 0 | 134 | 88 | 90 | 6 | 73 | 937 | 919 | 924 | 42 | 63 | 17 | 8 | 61 | 8 | 3 | 37.50% | 4 | 0 | 100.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 53.3% | 15.1% | 88.9% | 104.0 | FUN |
| 21 | Wranglers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 134 | 88 | 90 | 6 | 77 | 937 | 919 | 924 | 42 | 72 | 22 | 10 | 46 | 10 | 4 | 40.00% | 5 | 1 | 80.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 38.5% | 11.7% | 87.5% | 99.2 | FUN |
| 22 | Gulls | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 18 | 27 | 0 | 0 | 134 | 88 | 90 | 6 | 78 | 937 | 919 | 924 | 42 | 100 | 23 | 24 | 47 | 9 | 3 | 33.33% | 12 | 2 | 83.33% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 46.2% | 11.5% | 91.0% | 102.5 | FUN |
| 23 | Texas Stars | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 11 | -4 | 1 | 0.250 | 7 | 12 | 19 | 0 | 0 | 134 | 88 | 90 | 6 | 77 | 937 | 919 | 924 | 42 | 77 | 15 | 16 | 50 | 8 | 2 | 25.00% | 8 | 1 | 87.50% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 33.3% | 9.1% | 85.7% | 94.8 | FUN |
| 24 | Canucks | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 7 | 5 | 4 | 1.000 | 12 | 22 | 34 | 0 | 0 | 134 | 88 | 90 | 6 | 81 | 937 | 919 | 924 | 42 | 71 | 16 | 10 | 41 | 8 | 1 | 12.50% | 3 | 0 | 100.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 61.1% | 14.8% | 90.1% | 105.0 | FUN |
| 25 | Comets | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 11 | 14 | -3 | 1 | 0.167 | 11 | 21 | 32 | 0 | 0 | 134 | 88 | 90 | 6 | 120 | 937 | 919 | 924 | 42 | 113 | 25 | 42 | 77 | 16 | 5 | 31.25% | 15 | 3 | 80.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 35.3% | 9.2% | 87.6% | 96.8 | FUN |
| 26 | W-B/Scranton Penguins | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 13 | 1 | 2 | 0.333 | 14 | 26 | 40 | 0 | 0 | 134 | 88 | 90 | 6 | 102 | 937 | 919 | 924 | 42 | 111 | 37 | 24 | 71 | 6 | 3 | 50.00% | 10 | 2 | 80.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 50.0% | 13.7% | 88.3% | 102.0 | FUN |
| 27 | Roadrunners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 134 | 88 | 90 | 6 | 89 | 937 | 919 | 924 | 42 | 78 | 25 | 20 | 56 | 8 | 4 | 50.00% | 9 | 2 | 77.78% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 33.3% | 9.0% | 87.2% | 96.2 | FUN |
| 28 | Admirals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 134 | 88 | 90 | 6 | 76 | 937 | 919 | 924 | 42 | 70 | 19 | 6 | 53 | 9 | 2 | 22.22% | 3 | 1 | 66.67% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 46.7% | 11.8% | 87.1% | 99.0 | FUN |
| 29 | Moose | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 134 | 88 | 90 | 6 | 65 | 937 | 919 | 924 | 42 | 77 | 21 | 10 | 41 | 10 | 2 | 20.00% | 5 | 2 | 60.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 37.5% | 12.3% | 84.4% | 96.7 | FUN |
| 30 | Silver Knights | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 9 | -2 | 1 | 0.250 | 7 | 13 | 20 | 0 | 0 | 134 | 88 | 90 | 6 | 68 | 937 | 919 | 924 | 42 | 77 | 23 | 16 | 44 | 9 | 2 | 22.22% | 7 | 0 | 100.00% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 35.7% | 10.3% | 88.3% | 98.6 | FUN |
| 31 | Firebirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 134 | 88 | 90 | 6 | 79 | 937 | 919 | 924 | 42 | 81 | 15 | 12 | 64 | 9 | 1 | 11.11% | 6 | 2 | 66.67% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 38.5% | 7.6% | 87.7% | 95.2 | Unlucky |
| _Vs Division | 26 | 9 | 15 | 0 | 1 | 1 | 0 | 0 | 90 | 93 | -3 | 21 | 0.404 | 90 | 165 | 255 | 1 | 1 | 134 | 88 | 90 | 6 | 815 | 937 | 919 | 924 | 42 | 930 | 276 | 269 | 650 | 96 | 24 | 25.00% | 107 | 14 | 86.92% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 45.5% | 11.0% | 90.0% | 101.0 | FUN | |
| _Vs Conference | 50 | 19 | 25 | 0 | 3 | 2 | 0 | 1 | 189 | 193 | -4 | 47 | 0.470 | 189 | 346 | 535 | 1 | 1 | 134 | 88 | 90 | 6 | 1671 | 937 | 919 | 924 | 42 | 1771 | 535 | 472 | 1231 | 203 | 53 | 26.11% | 191 | 36 | 81.15% | 0 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 46.4% | 11.3% | 89.1% | 100.4 | FUN | |
| _Since Last GM Reset | 82 | 28 | 41 | 0 | 3 | 6 | 2 | 2 | 317 | 339 | -22 | 74 | 0.451 | 317 | 577 | 894 | 1 | 1 | 134 | 88 | 90 | 6 | 2808 | 937 | 919 | 924 | 42 | 3012 | 874 | 702 | 2025 | 331 | 86 | 25.98% | 294 | 58 | 80.27% | 1 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 45.1% | 11.3% | 88.7% | 100.0 | FUN | |
| Total | 82 | 28 | 41 | 0 | 3 | 6 | 2 | 2 | 317 | 339 | -22 | 74 | 0.451 | 317 | 577 | 894 | 1 | 1 | 134 | 88 | 90 | 6 | 2808 | 937 | 919 | 924 | 42 | 3012 | 874 | 702 | 2025 | 331 | 86 | 25.98% | 294 | 58 | 80.27% | 1 | 1473 | 2931 | 50.26% | 1452 | 3091 | 46.98% | 728 | 1471 | 49.49% | 1859 | 1237 | 1986 | 646 | 1111 | 544 | 45.1% | 11.3% | 88.7% | 100.0 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2931 |
| Neutral Zone Start | 1471 |
| Defensive Zone Start | 3091 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3653 |
| Faceoffs Lost | 3840 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.4 | 9.57 |
| 2nd Period | 22.6 | 20.31 |
| 3rd Period | 33.9 | 30.68 |
| Overtime | 34.4 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.6 | 0.64 |
| 2nd Period | 2.7 | 1.65 |
| 3rd Period | 3.8 | 2.67 |
| Overtime | 3.9 | 2.83 |
| Even Strenght Goal | 229 |
|---|---|
| PP Goal | 86 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 20 | 13 |
| Lost | 18 | 23 |
| Overtime Lost | 3 | 5 |
| PP Attempt | 331 |
|---|---|
| PP Goal | 86 |
| PK Attempt | 294 |
| PK Goal Against | 58 |
| Home | |
|---|---|
| Shots For | 34.2 |
| Shots Against | 36.7 |
| Goals For | 3.9 |
| Goals Against | 4.1 |
| Hits | 24.7 |
| Shots Blocked | 10.7 |
| Pim | 8.6 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,342,630$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Syracuse | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 38$ | 18$ | $ | $ | $ |
| Attendance | 55652 | 30336 | |||
| Attendance PCT | 67.87% | 73.99% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 0 | 2097 - 69.91% | 96,698$ | 3,964,627$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,342,630$ | 2,325,130$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,383,300$ | 0$ | 2,368,370$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 12,395$ | 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 |
|---|---|---|
|
|
|
|
| Defense #1 | Defense #2 | Goalie |
|---|---|---|
|
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||




