*** Dernier droit pour les séries ou le mix ... Bonne chance!!!! ***
Last update: 2025-04-19 22:29:39
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
John Beecher | 0 | C | 100.00 | 68 | 62 | 78 | 66 | 78 | 63 | 66 | 59 | 76 | 58 | 63 | 72 | 55 | 56 | 56 | 0 | 50 | 67 | 24 | 925,000$/2yrs | |||
Joe Snively | 0 | C | 100.00 | 57 | 56 | 72 | 63 | 62 | 68 | 64 | 64 | 56 | 66 | 60 | 66 | 62 | 65 | 59 | 0 | 50 | 66 | 29 | 800,000$/1yrs | |||
Glenn Gawdin | 0 | C/RW | 100.00 | 57 | 58 | 66 | 65 | 67 | 69 | 67 | 64 | 70 | 62 | 62 | 62 | 55 | 64 | 58 | 0 | 50 | 66 | 28 | 762,500$/3yrs | |||
Andrew Poturalski | 0 | C/RW | 100.00 | 56 | 57 | 69 | 63 | 63 | 66 | 64 | 64 | 60 | 64 | 59 | 65 | 57 | 69 | 61 | 0 | 50 | 65 | 31 | 762,500$/1yrs | |||
Gerry Mayhew | 0 | C | 100.00 | 55 | 60 | 66 | 62 | 57 | 68 | 67 | 62 | 70 | 59 | 62 | 63 | 55 | 72 | 63 | 0 | 50 | 65 | 32 | 775,000$/1yrs | |||
Bo Groulx | 0 | C | 100.00 | 71 | 45 | 74 | 65 | 72 | 65 | 66 | 56 | 66 | 57 | 58 | 67 | 54 | 56 | 57 | 0 | 50 | 65 | 25 | 775,000$/2yrs | |||
Byron Froese | 0 | C | 100.00 | 58 | 54 | 72 | 62 | 71 | 66 | 64 | 60 | 65 | 60 | 59 | 65 | 55 | 72 | 63 | 0 | 50 | 65 | 34 | 762,500$/1yrs | |||
Owen Sillinger | 0 | C | 100.00 | 56 | 54 | 65 | 61 | 61 | 69 | 67 | 61 | 60 | 61 | 58 | 63 | 54 | 63 | 58 | 0 | 50 | 64 | 27 | 750,000$/2yrs | |||
MacKenzie MacEachern | 0 | C/LW | 100.00 | 57 | 54 | 71 | 59 | 70 | 62 | 61 | 58 | 55 | 59 | 57 | 62 | 55 | 68 | 61 | 0 | 50 | 63 | 31 | 775,000$/2yrs | |||
Anders Bjork | 0 | LW | 100.00 | 55 | 55 | 70 | 59 | 67 | 63 | 61 | 60 | 55 | 60 | 58 | 62 | 55 | 65 | 59 | 0 | 50 | 63 | 28 | 775,000$/1yrs | |||
Hayden Hodgson | 0 | RW | 100.00 | 59 | 55 | 61 | 57 | 70 | 64 | 63 | 56 | 55 | 56 | 56 | 63 | 54 | 65 | 59 | 0 | 50 | 62 | 29 | 775,000$/2yrs | |||
Adam Edstrom | 0 | C/LW/RW | 100.00 | 59 | 53 | 73 | 58 | 70 | 62 | 60 | 57 | 55 | 55 | 59 | 64 | 55 | 58 | 56 | 0 | 50 | 62 | 24 | 846,667$/2yrs | |||
Cale Fleury | 0 | D | 100.00 | 61 | 51 | 75 | 66 | 75 | 69 | 65 | 59 | 41 | 65 | 56 | 72 | 55 | 61 | 58 | 0 | 50 | 67 | 26 | 800,000$/2yrs | |||
Dillon Heatherington | 0 | D | 100.00 | 55 | 54 | 67 | 59 | 75 | 67 | 65 | 56 | 40 | 56 | 55 | 65 | 54 | 67 | 60 | 0 | 50 | 63 | 29 | 762,500$/1yrs | |||
Ashton Sautner | 0 | D | 100.00 | 56 | 54 | 66 | 59 | 67 | 68 | 66 | 56 | 40 | 56 | 56 | 63 | 54 | 69 | 61 | 0 | 50 | 62 | 30 | 775,000$/1yrs | |||
Devante Stephens | 0 | D | 100.00 | 56 | 56 | 65 | 57 | 70 | 65 | 64 | 57 | 40 | 56 | 56 | 63 | 54 | 63 | 58 | 0 | 50 | 62 | 28 | 750,000$/1yrs | |||
Will Butcher | 0 | D | 100.00 | 55 | 56 | 68 | 58 | 62 | 64 | 62 | 58 | 40 | 58 | 56 | 62 | 54 | 67 | 60 | 0 | 50 | 62 | 30 | 775,000$/1yrs | |||
Zach Uens | 0 | D | 100.00 | 58 | 54 | 69 | 54 | 66 | 55 | 55 | 54 | 40 | 54 | 54 | 59 | 54 | 56 | 54 | 0 | 50 | 59 | 23 | 925,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Matthew Peca | 0 | C | 100.00 | 55 | 59 | 69 | 60 | 60 | 64 | 62 | 62 | 70 | 61 | 58 | 64 | 55 | 70 | 62 | 0 | 50 | 64 | 31 | 762,500$/1yrs | |||
Tyce Thompson | 0 | RW | 100.00 | 56 | 54 | 65 | 60 | 64 | 68 | 66 | 58 | 55 | 58 | 56 | 61 | 54 | 60 | 56 | 0 | 50 | 62 | 25 | 762,500$/2yrs | |||
Tarun Fizer | 0 | RW | 100.00 | 54 | 55 | 69 | 55 | 61 | 59 | 58 | 55 | 55 | 55 | 55 | 61 | 54 | 56 | 54 | 0 | 50 | 59 | 24 | 775,000$/1yrs | |||
Semyon Der-Arguchintsev | 0 | C | 100.00 | 52 | 52 | 64 | 56 | 54 | 61 | 59 | 57 | 67 | 56 | 55 | 57 | 51 | 54 | 51 | 0 | 50 | 59 | 24 | 766,666$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Louis Domingue | 0 | 100.00 | 64 | 65 | 66 | 67 | 67 | 60 | 68 | 65 | 60 | 62 | 61 | 74 | 64 | 0 | 50 | 66 | 33 | 775,000$/2yrs |
Keith Kinkaid | 0 | 100.00 | 59 | 62 | 62 | 66 | 65 | 56 | 67 | 63 | 59 | 62 | 62 | 80 | 67 | 0 | 50 | 64 | 35 | 775,000$/1yrs |
| Scratches | ||||||||||||||||||||
Eetu Makiniemi | 0 | 100.00 | 59 | 60 | 60 | 63 | 65 | 61 | 67 | 61 | 60 | 60 | 61 | 59 | 55 | 0 | 50 | 63 | 26 | 775,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Chantal Machabée | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 60 | 5 | 0$ |
| 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 | Glenn Gawdin | Americans (BUF) | C/RW | 82 | 36 | 56 | 92 | 2 | 32 | 10 | 143 | 296 | 70 | 222 | 12.16% | 21 | 22.57 | 9 | 23 | 32 | 1 | 0 | 1 | 246 | 8 | 1 | 52.86% | 0 | 0 | 1.12 | 1 | 2 | 1.08 | |||
| 2 | John Beecher | Americans (BUF) | C | 79 | 28 | 53 | 81 | 2 | 58 | 0 | 179 | 308 | 77 | 205 | 9.09% | 42 | 20.94 | 8 | 14 | 22 | 0 | 1 | 1 | 183 | 1 | 0 | 56.43% | 0 | 1 | 1.03 | 0 | 1 | 1.00 | |||
| 3 | Cale Fleury | Americans (BUF) | D | 79 | 22 | 52 | 74 | 2 | 50 | 0 | 153 | 142 | 53 | 96 | 15.49% | 133 | 21.55 | 13 | 16 | 29 | 0 | 0 | 0 | 235 | 2 | 1 | 0.00% | 0 | 0 | 0.94 | 0 | 0 | 0.81 | |||
| 4 | Andrew Poturalski | Americans (BUF) | C/RW | 81 | 29 | 35 | 64 | 16 | 26 | 0 | 89 | 276 | 75 | 193 | 10.51% | 12 | 16.89 | 4 | 4 | 8 | 0 | 0 | 0 | 51 | 7 | 1 | 46.24% | 1 | 0 | 0.79 | 0 | 0 | 0.89 | |||
| 5 | Byron Froese | Americans (BUF) | C | 82 | 24 | 36 | 60 | -10 | 32 | 0 | 122 | 192 | 56 | 144 | 12.50% | 25 | 18.23 | 4 | 7 | 11 | 0 | 0 | 0 | 82 | 2 | 2 | 53.35% | 1 | 1 | 0.73 | 0 | 0 | 0.63 | |||
| 6 | Joe Snively | Americans (BUF) | C | 80 | 24 | 30 | 54 | 10 | 22 | 0 | 99 | 188 | 54 | 147 | 12.77% | 19 | 16.80 | 6 | 9 | 15 | 1 | 1 | 2 | 158 | 6 | 2 | 46.57% | 0 | 0 | 0.68 | 0 | 0 | 0.70 | |||
| 7 | Anders Bjork | Americans (BUF) | LW | 82 | 20 | 33 | 53 | 4 | 22 | 0 | 87 | 205 | 53 | 153 | 9.76% | 14 | 20.33 | 4 | 9 | 13 | 0 | 0 | 0 | 239 | 1 | 3 | 46.80% | 0 | 1 | 0.65 | 0 | 1 | 0.66 | |||
| 8 | Bo Groulx | Americans (BUF) | C | 73 | 17 | 35 | 52 | 12 | 61 | 5 | 196 | 220 | 59 | 154 | 7.73% | 23 | 18.00 | 3 | 7 | 10 | 0 | 0 | 0 | 94 | 3 | 0 | 53.12% | 0 | 0 | 0.71 | 0 | 0 | 0.71 | |||
| 9 | Ashton Sautner | Americans (BUF) | D | 82 | 10 | 37 | 47 | 4 | 62 | 0 | 136 | 108 | 35 | 76 | 9.26% | 114 | 21.38 | 5 | 9 | 14 | 0 | 0 | 0 | 240 | 2 | 2 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.49 | |||
| 10 | Owen Sillinger | Americans (BUF) | C | 82 | 11 | 34 | 45 | -9 | 48 | 0 | 85 | 157 | 47 | 123 | 7.01% | 13 | 13.23 | 2 | 15 | 17 | 0 | 0 | 0 | 0 | 1 | 1 | 50.37% | 0 | 0 | 0.55 | 0 | 0 | 0.42 | |||
| 11 | Dillon Heatherington | Americans (BUF) | D | 82 | 12 | 32 | 44 | 6 | 60 | 0 | 170 | 113 | 32 | 62 | 10.62% | 108 | 22.72 | 6 | 10 | 16 | 0 | 0 | 0 | 223 | 2 | 1 | 0.00% | 0 | 0 | 0.54 | 0 | 0 | 0.49 | |||
| 12 | MacKenzie MacEachern | Americans (BUF) | C/LW | 78 | 19 | 25 | 44 | 12 | 10 | 0 | 69 | 148 | 37 | 92 | 12.84% | 12 | 15.71 | 7 | 7 | 14 | 0 | 0 | 0 | 125 | 1 | 1 | 50.00% | 0 | 0 | 0.56 | 0 | 0 | 0.61 | |||
| 13 | Devante Stephens | Americans (BUF) | D | 72 | 10 | 29 | 39 | 3 | 48 | 0 | 114 | 102 | 24 | 61 | 9.80% | 110 | 20.10 | 1 | 9 | 10 | 0 | 0 | 0 | 158 | 0 | 1 | 0.00% | 0 | 0 | 0.54 | 0 | 0 | 0.49 | |||
| 14 | Will Butcher | Americans (BUF) | D | 81 | 8 | 25 | 33 | 2 | 68 | 0 | 136 | 72 | 24 | 44 | 11.11% | 57 | 18.64 | 3 | 3 | 6 | 0 | 0 | 0 | 109 | 1 | 0 | 0.00% | 0 | 0 | 0.41 | 0 | 0 | 0.28 | |||
| 15 | Matthew Peca | Americans (BUF) | C | 78 | 15 | 17 | 32 | -8 | 41 | 5 | 67 | 164 | 52 | 129 | 9.15% | 12 | 12.44 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 3 | 51.61% | 0 | 0 | 0.41 | 0 | 0 | 0.36 | |||
| 16 | Gerry Mayhew | Americans (BUF) | C | 73 | 11 | 8 | 19 | -4 | 29 | 5 | 30 | 79 | 28 | 67 | 13.92% | 10 | 7.36 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 2 | 0 | 50.93% | 0 | 0 | 0.26 | 0 | 0 | 0.20 | |||
| 17 | Tyce Thompson | Americans (BUF) | RW | 63 | 7 | 8 | 15 | -11 | 12 | 0 | 47 | 68 | 21 | 54 | 10.29% | 7 | 8.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.57% | 0 | 0 | 0.24 | 0 | 0 | 0.19 | |||
| 18 | Adam Edstrom | Americans (BUF) | C/LW/RW | 82 | 5 | 7 | 12 | -2 | 4 | 0 | 23 | 49 | 6 | 37 | 10.20% | 6 | 4.50 | 3 | 2 | 5 | 0 | 0 | 0 | 57 | 1 | 0 | 39.62% | 0 | 0 | 0.15 | 0 | 0 | 0.15 | |||
| 19 | Zach Uens | Americans (BUF) | D | 82 | 5 | 5 | 10 | -13 | 58 | 0 | 132 | 30 | 8 | 23 | 16.67% | 70 | 16.07 | 1 | 1 | 2 | 0 | 0 | 0 | 123 | 0 | 0 | 0.00% | 0 | 0 | 0.12 | 0 | 0 | 0.01 | |||
| 20 | Hayden Hodgson | Americans (BUF) | RW | 31 | 4 | 5 | 9 | 0 | 4 | 0 | 10 | 20 | 6 | 11 | 20.00% | 2 | 4.82 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 56.25% | 0 | 1 | 0.29 | 0 | 0 | 0.25 | |||
| 21 | Tarun Fizer | Americans (BUF) | RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.35 | |||
| 22 | Semyon Der-Arguchintsev | Americans (BUF) | C | 2 | 0 | 0 | 0 | -1 | 2 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 4.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9.09% | 0 | 0 | 0.00 | 0 | 0 | -0.40 | |||
| Team Total or Average | 1527 | 317 | 562 | 879 | 17 | 751 | 25 | 2087 | 2937 | 817 | 2093 | 10.79% | 810 | 16.49 | 79 | 147 | 226 | 2528 | 2 | 2 | 4 | 2347 | 43 | 20 | 52.58% | 7773 | 0 | 0 | 2 | 4 | 0.70 | 1 | 4 |
| 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 | Louis Domingue | Americans (BUF) | 64 | 27 | 27 | 7 | 0.895 | 3.59 | 3490 | 8 | 0 | 209 | 1983 | 0 | 1 | 2 | 0.600 | 5 | 60 | 21 | 2 | 2 | 0 |
| 2 | Eetu Makiniemi | Americans (BUF) | 28 | 11 | 9 | 0 | 0.896 | 3.43 | 1399 | 0 | 0 | 80 | 769 | 0 | 0 | 1 | 0.000 | 0 | 22 | 42 | 2 | 0 | 0 |
| 3 | Keith Kinkaid | Americans (BUF) | 1 | 0 | 1 | 0 | 0.923 | 3.75 | 48 | 0 | 0 | 3 | 39 | 0 | 0 | 0 | 0.000 | 0 | 0 | 18 | 0 | 0 | 0 |
| Team Total or Average | 93 | 38 | 37 | 7 | 0.895 | 3.55 | 4938 | 8 | 0 | 292 | 2791 | 0 | 1 | 3 | 0.600 | 5 | 82 | 81 | 4 | 2 | 0 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Edstrom | C/LW/RW | 24 | 846,667$ | 846,667$ | 846,667$ | UFA | |||||
Anders Bjork ![]() | LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Andrew Poturalski ![]() | C/RW | 31 | 762,500$ | 762,500$ | UFA | ||||||
Ashton Sautner ![]() | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Bo Groulx ![]() | C | 25 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Byron Froese ![]() | C | 34 | 762,500$ | 762,500$ | UFA | ||||||
Cale Fleury ![]() | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Devante Stephens ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Dillon Heatherington ![]() | D | 29 | 762,500$ | 762,500$ | UFA | ||||||
Eetu Makiniemi ![]() | G | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Gerry Mayhew ![]() | C | 32 | 775,000$ | 775,000$ | UFA | ||||||
Glenn Gawdin ![]() | C/RW | 28 | 762,500$ | 762,500$ | 775,000$ | 775,000$ | UFA | ||||
Hayden Hodgson ![]() | RW | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Joe Snively ![]() | C | 29 | 800,000$ | 800,000$ | UFA | ||||||
John Beecher | C | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Keith Kinkaid ![]() | G | 35 | 775,000$ | 775,000$ | UFA | ||||||
Louis Domingue ![]() | G | 33 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
MacKenzie MacEachern ![]() | C/LW | 31 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Matthew Peca ![]() | C | 31 | 762,500$ | 762,500$ | UFA | ||||||
Owen Sillinger ![]() | C | 27 | 750,000$ | 775,000$ | 775,000$ | UFA | |||||
Semyon Der-Arguchintsev | C | 24 | 766,666$ | 766,666$ | RFA | ||||||
Tarun Fizer | RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Tyce Thompson ![]() | RW | 25 | 762,500$ | 762,500$ | 775,000$ | UFA | |||||
Will Butcher ![]() | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Zach Uens | D | 23 | 925,000$ | 925,000$ | 925,000$ | 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 | 6 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 28 | 23 | 5 | 9 | 0.750 | 28 | 51 | 79 | 1 | 0 | 99 | 100 | 91 | 5 | 245 | 905 | 906 | 940 | 19 | 170 | 41 | 54 | 152 | 29 | 9 | 31.03% | 18 | 5 | 72.22% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 51.4% | 11.4% | 86.5% | 97.9 | FUN |
| 2 | Marlies | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 20 | 16 | 4 | 8 | 0.800 | 20 | 34 | 54 | 0 | 0 | 99 | 100 | 91 | 5 | 174 | 905 | 906 | 940 | 19 | 180 | 50 | 34 | 110 | 14 | 4 | 28.57% | 17 | 4 | 76.47% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 57.1% | 11.5% | 91.1% | 102.6 | Unlucky |
| 3 | Binghamton Senateurs | 5 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 19 | 22 | -3 | 3 | 0.300 | 19 | 34 | 53 | 0 | 0 | 99 | 100 | 91 | 5 | 142 | 905 | 906 | 940 | 19 | 175 | 68 | 36 | 112 | 19 | 5 | 26.32% | 17 | 2 | 88.24% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 41.2% | 13.4% | 87.4% | 100.8 | FUN |
| 4 | Bears | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 13 | -5 | 1 | 0.167 | 8 | 16 | 24 | 1 | 0 | 99 | 100 | 91 | 5 | 87 | 905 | 906 | 940 | 19 | 94 | 29 | 37 | 67 | 14 | 1 | 7.14% | 15 | 4 | 73.33% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 43.8% | 9.2% | 86.2% | 95.4 | FUN |
| 5 | Rockets | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 24 | -11 | 2 | 0.200 | 13 | 24 | 37 | 0 | 0 | 99 | 100 | 91 | 5 | 141 | 905 | 906 | 940 | 19 | 194 | 59 | 50 | 115 | 16 | 3 | 18.75% | 24 | 8 | 66.67% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 38.5% | 9.2% | 87.6% | 96.8 | FUN |
| 6 | Providence Bruins | 5 | 1 | 1 | 0 | 2 | 1 | 0 | 0 | 22 | 19 | 3 | 7 | 0.700 | 22 | 42 | 64 | 0 | 0 | 99 | 100 | 91 | 5 | 189 | 905 | 906 | 940 | 19 | 191 | 43 | 52 | 112 | 18 | 6 | 33.33% | 23 | 4 | 82.61% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 51.6% | 11.6% | 90.1% | 101.7 | FUN |
| 7 | Wolves | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 99 | 100 | 91 | 5 | 108 | 905 | 906 | 940 | 19 | 111 | 42 | 26 | 90 | 12 | 4 | 33.33% | 13 | 1 | 92.31% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 18.2% | 5.6% | 91.0% | 96.5 | Unlucky |
| 8 | Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 99 | 100 | 91 | 5 | 33 | 905 | 906 | 940 | 19 | 35 | 13 | 8 | 29 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 50.0% | 9.1% | 88.6% | 97.7 | FUN |
| 9 | Phantoms | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 16 | 16 | 0 | 4 | 0.400 | 16 | 31 | 47 | 0 | 0 | 99 | 100 | 91 | 5 | 184 | 905 | 906 | 940 | 19 | 152 | 44 | 40 | 138 | 16 | 5 | 31.25% | 18 | 5 | 72.22% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 50.0% | 8.7% | 89.5% | 98.2 | Unlucky |
| 10 | Wolf Pack | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 10 | 3 | 4 | 0.667 | 13 | 22 | 35 | 0 | 0 | 99 | 100 | 91 | 5 | 98 | 905 | 906 | 940 | 19 | 105 | 33 | 34 | 61 | 11 | 2 | 18.18% | 17 | 4 | 76.47% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 64.7% | 13.3% | 90.5% | 103.7 | FUN |
| 11 | islanders | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 10 | 3 | 4 | 0.667 | 13 | 20 | 33 | 0 | 0 | 99 | 100 | 91 | 5 | 101 | 905 | 906 | 940 | 19 | 105 | 21 | 14 | 81 | 13 | 4 | 30.77% | 6 | 1 | 83.33% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 50.0% | 12.9% | 90.5% | 103.3 | FUN |
| 12 | IceHogs | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 18 | 1 | 4 | 0.500 | 19 | 32 | 51 | 0 | 0 | 99 | 100 | 91 | 5 | 144 | 905 | 906 | 940 | 19 | 145 | 44 | 44 | 105 | 14 | 4 | 28.57% | 20 | 4 | 80.00% | 1 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 51.7% | 13.2% | 87.6% | 100.8 | FUN |
| 13 | Griffins | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 13 | 16 | -3 | 4 | 0.400 | 13 | 26 | 39 | 0 | 0 | 99 | 100 | 91 | 5 | 157 | 905 | 906 | 940 | 19 | 177 | 55 | 41 | 109 | 15 | 1 | 6.67% | 16 | 4 | 75.00% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 50.0% | 8.3% | 91.0% | 99.2 | Unlucky |
| 14 | Monsters | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 6 | 1.000 | 10 | 19 | 29 | 0 | 0 | 99 | 100 | 91 | 5 | 94 | 905 | 906 | 940 | 19 | 67 | 23 | 30 | 81 | 11 | 2 | 18.18% | 13 | 2 | 84.62% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 66.7% | 10.6% | 91.0% | 101.7 | FUN |
| 15 | Barracuda | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 99 | 100 | 91 | 5 | 76 | 905 | 906 | 940 | 19 | 61 | 15 | 18 | 55 | 11 | 3 | 27.27% | 8 | 3 | 62.50% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 54.5% | 11.8% | 86.9% | 98.7 | FUN |
| 16 | Condors | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 99 | 100 | 91 | 5 | 51 | 905 | 906 | 940 | 19 | 28 | 8 | 6 | 23 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 33.3% | 5.9% | 85.7% | 91.6 | Unlucky |
| 17 | Iowa Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 99 | 100 | 91 | 5 | 30 | 905 | 906 | 940 | 19 | 35 | 9 | 8 | 17 | 3 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 33.3% | 6.7% | 82.9% | 89.5 | Unlucky |
| 18 | Reign | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 99 | 100 | 91 | 5 | 43 | 905 | 906 | 940 | 19 | 19 | 3 | 6 | 21 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 50.0% | 7.0% | 89.5% | 96.5 | Unlucky |
| 19 | Thunderbirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 99 | 100 | 91 | 5 | 26 | 905 | 906 | 940 | 19 | 40 | 6 | 10 | 25 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 66.7% | 19.2% | 92.5% | 111.7 | LUCKY |
| 20 | Wranglers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 99 | 100 | 91 | 5 | 36 | 905 | 906 | 940 | 19 | 46 | 14 | 8 | 23 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 20.0% | 11.1% | 89.1% | 100.2 | FUN |
| 21 | Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 2 | 1.000 | 7 | 14 | 21 | 0 | 0 | 99 | 100 | 91 | 5 | 35 | 905 | 906 | 940 | 19 | 28 | 4 | 8 | 31 | 3 | 2 | 66.67% | 4 | 0 | 100.00% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 83.3% | 20.0% | 96.4% | 116.4 | LUCKY |
| 22 | Texas Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 99 | 100 | 91 | 5 | 30 | 905 | 906 | 940 | 19 | 28 | 6 | 10 | 20 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 60.0% | 10.0% | 85.7% | 95.7 | FUN |
| 23 | Canucks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 99 | 100 | 91 | 5 | 35 | 905 | 906 | 940 | 19 | 37 | 13 | 16 | 23 | 2 | 1 | 50.00% | 8 | 1 | 87.50% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 100.0% | 11.4% | 97.3% | 108.7 | LUCKY |
| 24 | Comets | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 2 | 0.333 | 12 | 22 | 34 | 0 | 0 | 99 | 100 | 91 | 5 | 101 | 905 | 906 | 940 | 19 | 103 | 27 | 24 | 78 | 11 | 3 | 27.27% | 11 | 1 | 90.91% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 50.0% | 11.9% | 90.3% | 102.2 | FUN |
| 25 | W-B/Scranton Penguins | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 99 | 100 | 91 | 5 | 101 | 905 | 906 | 940 | 19 | 101 | 32 | 24 | 79 | 9 | 2 | 22.22% | 12 | 1 | 91.67% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 36.4% | 5.9% | 92.1% | 98.0 | DULL |
| 26 | Roadrunners | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 99 | 100 | 91 | 5 | 28 | 905 | 906 | 940 | 19 | 33 | 8 | 19 | 23 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 57.1% | 14.3% | 90.9% | 105.2 | FUN |
| 27 | Crunch | 5 | 2 | 1 | 0 | 0 | 1 | 0 | 1 | 17 | 18 | -1 | 6 | 0.600 | 17 | 33 | 50 | 1 | 0 | 99 | 100 | 91 | 5 | 171 | 905 | 906 | 940 | 19 | 166 | 41 | 48 | 117 | 20 | 6 | 30.00% | 22 | 9 | 59.09% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 55.0% | 9.9% | 89.2% | 99.1 | FUN |
| 28 | Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 99 | 100 | 91 | 5 | 20 | 905 | 906 | 940 | 19 | 50 | 8 | 10 | 31 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 57.1% | 20.0% | 90.0% | 110.0 | FUN |
| 29 | Moose | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 99 | 100 | 91 | 5 | 27 | 905 | 906 | 940 | 19 | 43 | 13 | 6 | 27 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 28.6% | 7.4% | 88.4% | 95.8 | Unlucky |
| 30 | Silver Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 99 | 100 | 91 | 5 | 22 | 905 | 906 | 940 | 19 | 37 | 15 | 18 | 24 | 1 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 80.0% | 18.2% | 94.6% | 112.8 | LUCKY |
| 31 | Firebirds | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 99 | 100 | 91 | 5 | 37 | 905 | 906 | 940 | 19 | 38 | 14 | 4 | 22 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 50.0% | 8.1% | 89.5% | 97.6 | Unlucky |
| _Vs Division | 36 | 12 | 14 | 0 | 4 | 4 | 1 | 1 | 132 | 138 | -6 | 39 | 0.542 | 132 | 244 | 376 | 2 | 0 | 99 | 100 | 91 | 5 | 1219 | 905 | 906 | 940 | 19 | 1253 | 357 | 315 | 827 | 131 | 34 | 25.95% | 137 | 36 | 73.72% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 49.0% | 10.8% | 89.0% | 99.8 | FUN | |
| _Vs Conference | 62 | 24 | 27 | 0 | 4 | 5 | 1 | 1 | 216 | 221 | -5 | 64 | 0.516 | 216 | 396 | 612 | 3 | 0 | 99 | 100 | 91 | 5 | 2093 | 905 | 906 | 940 | 19 | 2091 | 608 | 544 | 1502 | 228 | 57 | 25.00% | 242 | 55 | 77.27% | 0 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 48.9% | 10.3% | 89.4% | 99.8 | FUN | |
| _Since Last GM Reset | 82 | 33 | 37 | 0 | 4 | 6 | 1 | 1 | 295 | 296 | -1 | 83 | 0.506 | 295 | 535 | 830 | 3 | 0 | 99 | 100 | 91 | 5 | 2766 | 905 | 906 | 940 | 19 | 2794 | 801 | 743 | 2001 | 293 | 73 | 24.91% | 329 | 74 | 77.51% | 1 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 50.0% | 10.7% | 89.4% | 100.1 | FUN | |
| Total | 82 | 33 | 37 | 0 | 4 | 6 | 1 | 1 | 295 | 296 | -1 | 83 | 0.506 | 295 | 535 | 830 | 3 | 0 | 99 | 100 | 91 | 5 | 2766 | 905 | 906 | 940 | 19 | 2794 | 801 | 743 | 2001 | 293 | 73 | 24.91% | 329 | 74 | 77.51% | 1 | 1556 | 2899 | 53.67% | 1569 | 2911 | 53.90% | 701 | 1373 | 51.06% | 1881 | 1247 | 1950 | 645 | 1113 | 550 | 50.0% | 10.7% | 89.4% | 100.1 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2899 |
| Neutral Zone Start | 1373 |
| Defensive Zone Start | 2911 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3826 |
| Faceoffs Lost | 3357 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.0 | 9.57 |
| 2nd Period | 22.1 | 20.31 |
| 3rd Period | 33.5 | 30.68 |
| Overtime | 33.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.2 | 0.64 |
| 2nd Period | 2.4 | 1.65 |
| 3rd Period | 3.5 | 2.67 |
| Overtime | 3.6 | 2.83 |
| Even Strenght Goal | 218 |
|---|---|
| PP Goal | 73 |
| PK Goal | 1 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 23 | 15 |
| Lost | 14 | 23 |
| Overtime Lost | 4 | 3 |
| PP Attempt | 293 |
|---|---|
| PP Goal | 73 |
| PK Attempt | 329 |
| PK Goal Against | 74 |
| Home | |
|---|---|
| Shots For | 33.7 |
| Shots Against | 34.1 |
| Goals For | 3.6 |
| Goals Against | 3.6 |
| Hits | 24.4 |
| Shots Blocked | 9.8 |
| Pim | 9.1 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 1,968,834$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Rochester | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 24$ | 14$ | $ | $ | $ |
| Attendance | 80240 | 39538 | |||
| Attendance PCT | 97.85% | 96.43% | 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 | 2921 - 97.38% | 90,101$ | 3,694,143$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 1,968,834$ | 1,966,334$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,965,940$ | 0$ | 1,956,352$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 10,149$ | 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 |
|---|---|---|
|
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||




