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Full Scoreboard »» |
| Buffalo Sabres 26-22-3, 55pts · 8th in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nathan MacKinnon | 0 | C/RW | 99.00 | 62 | 35 | 83 | 93 | 77 | 92 | 90 | 86 | 89 | 95 | 88 | 58 | 87 | 77 | 75 | 0 | 52 | 95 | 30 | 12,600,000$/6yrs | |||
Brock Nelson | 0 | C | 98.00 | 60 | 34 | 89 | 71 | 85 | 86 | 90 | 72 | 87 | 71 | 77 | 70 | 75 | 83 | 82 | 0 | 58 | 83 | 34 | 6,000,000$/4yrs | |||
Jordan Kyrou | 0 | LW/RW | 97.00 | 61 | 33 | 93 | 76 | 77 | 83 | 89 | 72 | 58 | 72 | 80 | 55 | 76 | 71 | 71 | 0 | 64 | 82 | 27 | 8,125,000$/6yrs | |||
Shane Pinto | 0 | C | 100.00 | 69 | 33 | 85 | 72 | 81 | 85 | 86 | 68 | 84 | 65 | 77 | 78 | 72 | 67 | 66 | 0 | 55 | 81 | 25 | 6,000,000$/7yrs | |||
Adam Lowry | 0 | C | 100.00 | 79 | 49 | 86 | 62 | 87 | 80 | 86 | 63 | 87 | 65 | 67 | 79 | 65 | 81 | 87 | 0 | 59 | 79 | 32 | 3,250,000$/1yrs | |||
William Karlsson | 0 | C | 100.00 | 59 | 32 | 95 | 64 | 74 | 82 | 79 | 64 | 87 | 70 | 68 | 69 | 66 | 81 | 80 | 0 | 61 | 78 | 33 | 5,900,000$/2yrs | |||
Dawson Mercer | 0 | C/RW | 100.00 | 61 | 32 | 91 | 70 | 71 | 85 | 90 | 65 | 72 | 66 | 71 | 74 | 68 | 65 | 65 | 0 | 60 | 78 | 24 | 3,500,000$/2yrs | |||
Kaapo Kakko | 0 | RW | 100.00 | 65 | 33 | 84 | 68 | 82 | 80 | 86 | 64 | 61 | 71 | 65 | 54 | 65 | 66 | 65 | 0 | 54 | 76 | 24 | 2,500,000$/2yrs | |||
Brandon Tanev | 0 | LW/RW | 100.00 | 82 | 32 | 91 | 55 | 74 | 75 | 88 | 55 | 57 | 59 | 60 | 79 | 58 | 82 | 82 | 0 | 64 | 74 | 34 | 3,250,000$/3yrs | |||
Radek Faksa | 0 | C | 100.00 | 74 | 34 | 86 | 56 | 89 | 76 | 88 | 58 | 84 | 65 | 57 | 74 | 57 | 79 | 77 | 0 | 59 | 74 | 32 | 3,750,000$/4yrs | |||
Tyler Motte | 0 | C/LW/RW | 100.00 | 72 | 32 | 95 | 57 | 72 | 74 | 77 | 54 | 72 | 57 | 58 | 76 | 56 | 77 | 76 | 0 | 54 | 72 | 30 | 1,500,000$/1yrs | |||
Curtis Lazar | 0 | C/RW | 100.00 | 81 | 33 | 91 | 55 | 78 | 72 | 79 | 55 | 80 | 54 | 57 | 64 | 56 | 76 | 76 | 0 | 51 | 70 | 30 | 1,300,000$/1yrs | |||
Josh Morrissey | 0 | D | 100.00 | 63 | 32 | 89 | 75 | 72 | 95 | 90 | 69 | 30 | 81 | 67 | 68 | 68 | 77 | 76 | 0 | 57 | 85 | 30 | 6,250,000$/3yrs | |||
Jared Spurgeon | 0 | D | 100.00 | 68 | 31 | 92 | 60 | 63 | 89 | 87 | 63 | 30 | 69 | 61 | 73 | 62 | 86 | 96 | 0 | 59 | 80 | 36 | 7,200,000$/2yrs | |||
Brett Pesce | 0 | D | 100.00 | 58 | 36 | 87 | 57 | 83 | 90 | 83 | 61 | 30 | 63 | 57 | 79 | 59 | 77 | 76 | 0 | 60 | 76 | 31 | 5,750,000$/5yrs | |||
Cam York | 0 | D | 100.00 | 64 | 32 | 87 | 61 | 68 | 90 | 85 | 60 | 30 | 67 | 58 | 75 | 59 | 67 | 65 | 0 | 61 | 76 | 25 | 4,500,000$/2yrs | |||
Dmitry Kulikov | 0 | D | 100.00 | 75 | 33 | 82 | 55 | 79 | 86 | 80 | 54 | 30 | 59 | 57 | 70 | 56 | 84 | 82 | 0 | 59 | 73 | 35 | 2,250,000$/3yrs | |||
Drew Helleson | 0 | D | 100.00 | 74 | 35 | 78 | 57 | 78 | 83 | 84 | 57 | 30 | 62 | 58 | 69 | 58 | 66 | 64 | 0 | 53 | 73 | 24 | 1,100,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.67 | 68 | 34 | 88 | 65 | 77 | 84 | 85 | 63 | 61 | 67 | 66 | 70 | 65 | 76 | 76 | 0 | 58 | 78 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Juuse Saros | 0 | 100.00 | 80 | 95 | 84 | 72 | 86 | 82 | 87 | 92 | 89 | 91 | 87 | 77 | 81 | 0 | 50 | 89 | 30 | 7,750,000$/8yrs |
Jonas Johansson | 0 | 96.00 | 61 | 77 | 73 | 91 | 78 | 75 | 80 | 87 | 84 | 88 | 80 | 76 | 80 | 0 | 29 | 84 | 30 | 1,750,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 98.00 | 71 | 86 | 79 | 82 | 82 | 79 | 84 | 90 | 87 | 90 | 84 | 77 | 81 | 0 | 40 | 87 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Peter Laviolette | 84 | 84 | 86 | 80 | 92 | 84 | 83 | CAN | 59 | 4 | 1,000,000$ |
| General Manager | David Cassabon |
|---|
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Nathan MacKinnon | 0 | C/RW | 51 | 27 | 34 | 61 | 7 | 41 | 5 | 103 | 264 | 84 | 190 | 10.23% | 8 | 22.06 | 8 | 13 | 21 | 183 | 0 | 0 | 0 | 0 | 3 | 3 | 48.94% | 141 | 0 | 0 | 0 | 1 | 1.08 | 1 | 4 | |
| 2 | Brock Nelson | 0 | C | 51 | 13 | 32 | 45 | 6 | 25 | 5 | 72 | 178 | 47 | 135 | 7.30% | 8 | 21.72 | 3 | 13 | 16 | 181 | 0 | 0 | 0 | 15 | 2 | 1 | 54.16% | 1453 | 0 | 0 | 0 | 0 | 0.81 | 1 | 1 | |
| 3 | Jordan Kyrou | 0 | LW/RW | 51 | 17 | 26 | 43 | 9 | 12 | 0 | 64 | 157 | 54 | 104 | 10.83% | 3 | 22.40 | 8 | 9 | 17 | 183 | 0 | 0 | 0 | 14 | 4 | 1 | 36.14% | 83 | 0 | 0 | 0 | 0 | 0.75 | 2 | 4 | |
| 4 | William Karlsson | 0 | C | 51 | 16 | 24 | 40 | 4 | 8 | 0 | 30 | 163 | 51 | 132 | 9.82% | 11 | 18.19 | 6 | 11 | 17 | 169 | 0 | 0 | 0 | 0 | 2 | 1 | 56.25% | 416 | 0 | 0 | 0 | 0 | 0.86 | 0 | 1 | |
| 5 | Josh Morrissey | 0 | D | 51 | 6 | 26 | 32 | -14 | 54 | 0 | 93 | 90 | 23 | 58 | 6.67% | 66 | 24.80 | 5 | 12 | 17 | 185 | 0 | 0 | 0 | 23 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 6 | Jared Spurgeon | 0 | D | 51 | 10 | 20 | 30 | 5 | 36 | 0 | 55 | 86 | 29 | 41 | 11.63% | 67 | 23.17 | 4 | 8 | 12 | 179 | 0 | 0 | 0 | 117 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 7 | Adam Lowry | 0 | C | 51 | 13 | 13 | 26 | -3 | 16 | 0 | 88 | 142 | 37 | 90 | 9.15% | 9 | 15.93 | 7 | 5 | 12 | 167 | 0 | 0 | 0 | 164 | 4 | 1 | 51.74% | 951 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
| 8 | Cam York | 0 | D | 51 | 5 | 21 | 26 | 1 | 32 | 0 | 87 | 77 | 26 | 57 | 6.49% | 79 | 20.71 | 5 | 8 | 13 | 165 | 0 | 0 | 0 | 134 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 9 | Shane Pinto | 0 | C | 51 | 8 | 13 | 21 | 2 | 36 | 0 | 71 | 132 | 50 | 90 | 6.06% | 11 | 14.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 50.45% | 888 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 10 | Dawson Mercer | 0 | C/RW | 51 | 10 | 10 | 20 | 2 | 11 | 5 | 29 | 110 | 33 | 82 | 9.09% | 4 | 13.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 52.78% | 36 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
| 11 | Drew Helleson | 0 | D | 51 | 1 | 15 | 16 | 5 | 26 | 0 | 58 | 40 | 17 | 22 | 2.50% | 28 | 14.66 | 0 | 7 | 7 | 119 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 12 | Brandon Tanev | 0 | LW/RW | 51 | 7 | 7 | 14 | -2 | 22 | 0 | 41 | 92 | 19 | 54 | 7.61% | 13 | 12.68 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 159 | 0 | 1 | 35.59% | 59 | 0 | 0 | 1 | 0 | 0.43 | 0 | 2 | |
| 13 | Dmitry Kulikov | 0 | D | 51 | 3 | 10 | 13 | 5 | 26 | 0 | 65 | 20 | 4 | 19 | 15.00% | 41 | 15.48 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 146 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 14 | Kaapo Kakko | 0 | RW | 51 | 5 | 7 | 12 | -4 | 2 | 0 | 20 | 57 | 14 | 38 | 8.77% | 1 | 12.66 | 1 | 3 | 4 | 169 | 0 | 0 | 0 | 0 | 0 | 0 | 54.84% | 62 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 15 | Brett Pesce | 0 | D | 51 | 3 | 8 | 11 | -13 | 53 | 15 | 57 | 49 | 14 | 35 | 6.12% | 101 | 22.04 | 0 | 1 | 1 | 57 | 0 | 0 | 0 | 152 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 16 | Curtis Lazar | 0 | C/RW | 51 | 2 | 2 | 4 | -12 | 21 | 5 | 34 | 26 | 5 | 9 | 7.69% | 2 | 5.67 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 46.67% | 15 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 17 | Radek Faksa | 0 | C | 51 | 0 | 4 | 4 | -12 | 11 | 5 | 18 | 46 | 9 | 21 | 0.00% | 7 | 7.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 103 | 0 | 0 | 54.17% | 456 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 18 | Tyler Motte | 0 | C/LW/RW | 51 | 1 | 2 | 3 | -11 | 2 | 0 | 14 | 28 | 7 | 29 | 3.57% | 7 | 7.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0 | 0 | 51.72% | 29 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | |
| Team Total or Average | 918 | 147 | 274 | 421 | -25 | 434 | 40 | 999 | 1757 | 523 | 1206 | 8.37% | 466 | 16.44 | 47 | 90 | 137 | 1774 | 0 | 0 | 0 | 1143 | 23 | 12 | 52.36% | 4589 | 0 | 0 | 1 | 1 | 0.56 | 4 | 12 |
| 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 | Jonas Johansson | 32 | 15 | 11 | 2 | 0.906 | 2.88 | 1624 | 2 | 1 | 78 | 831 | 0 | 1 | 0 | 1.000 | 10 | 28 | 23 | 4 | 2 | 0 | |
| 2 | Juuse Saros | 31 | 11 | 11 | 1 | 0.921 | 2.58 | 1468 | 2 | 1 | 63 | 802 | 0 | 1 | 0 | 0.500 | 2 | 23 | 28 | 3 | 2 | 1 | |
| Team Total or Average | 63 | 26 | 22 | 3 | 0.914 | 2.74 | 3092 | 4 | 2 | 141 | 1633 | 0 | 2 | 0 | 0.917 | 12 | 51 | 51 | 7 | 4 | 1 |
| Projected Total Cap Hit | 94,233,927$ |
| Projected Cap Space | 1,266,073$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 54,482,772$ |
| Players In Salary Cap | 20 |
| LTIR Players | 0 |
| Sabres Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry ![]() | C | 32 | 3,250,000$ | 3,250,000$ | UFA | ||||||
Brandon Tanev ![]() | LW/RW | 34 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
Brett Pesce ![]() | D | 31 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||
Brock Nelson ![]() | C | 34 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Cam York ![]() | D | 25 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Curtis Lazar ![]() | C/RW | 30 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Dawson Mercer ![]() | C/RW | 24 | 3,500,000$ | 3,500,000$ | 4,000,000$ | RFA | |||||
Dmitry Kulikov ![]() | D | 35 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||
Drew Helleson | D | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Jared Spurgeon ![]() | D | 36 | 7,200,000$ | 7,200,000$ | 7,200,000$ | UFA | |||||
Jonas Johansson ![]() | G | 30 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Jordan Kyrou ![]() | LW/RW | 27 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | UFA | |
Josh Morrissey ![]() | D | 30 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||||
| Juuse Saros | G | 30 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ |
Kaapo Kakko ![]() | RW | 24 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Nathan MacKinnon ![]() | C/RW | 30 | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | UFA | |
Radek Faksa ![]() | C | 32 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||
Shane Pinto ![]() | C | 25 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Tyler Motte ![]() | C/LW/RW | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
William Karlsson ![]() | C | 33 | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Engstrom | D | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Ben Steeves | LW | 23 | 950,000$ | 950,000$ | RFA | ||||||
Bokondji Imama | LW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Brayden Yager | C/RW | 21 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Caleb Jones | D | 28 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Callum Tung | G | 22 | 872,500$ | 872,500$ | 872,500$ | 872,500$ | RFA | ||||
Cameron Hebig | C | 29 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Carl Lindbom | G | 22 | 840,000$ | 840,000$ | RFA | ||||||
Chase Wheatcroft | LW | 23 | 862,500$ | 862,500$ | RFA | ||||||
Colin White | C/RW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Connor Ungar | G | 24 | 860,000$ | 860,000$ | RFA | ||||||
Conor Geekie | C | 21 | 918,333$ | 918,333$ | RFA | ||||||
Daemon Hunt | D | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Gabriel Szturc | C | 22 | 870,000$ | 870,000$ | RFA | ||||||
Graeme Clarke | RW | 24 | 900,000$ | 900,000$ | RFA | ||||||
Guillaume Brisebois | D | 28 | 775,000$ | 775,000$ | |||||||
Hayden Hodgson | RW | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jake Chiasson | C | 22 | 843,333$ | 843,333$ | RFA | ||||||
Jaxon Fuder | C/LW | 19 | 916,667$ | 916,667$ | 916,667$ | 916,667$ | RFA | ||||
Joel Kiviranta | LW/RW | 29 | 800,000$ | 800,000$ | UFA | ||||||
John Ludvig | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Joseph LaBate | LW/RW | 32 | 900,000$ | 900,000$ | UFA | ||||||
Karsen Dorwart | C/LW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Kole Lind | RW | 27 | 900,000$ | 900,000$ | |||||||
Lleyton Roed | LW | 23 | 870,000$ | 870,000$ | RFA | ||||||
Luca Cagnoni | D | 21 | 895,000$ | 895,000$ | 895,000$ | RFA | |||||
Maros Jedlicka | LW | 23 | 0$ | RFA | |||||||
Mason Geertsen | D | 30 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Max Gildon | D | 26 | 875,000$ | 875,000$ | |||||||
Maxwell Crozier | D | 25 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | |||||
Nate Clurman | D | 27 | 775,000$ | 775,000$ | |||||||
Quentin Musty | LW | 20 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
Ryan Tverberg | C/RW | 23 | 851,667$ | 851,667$ | RFA | ||||||
Samuel Walker | C/RW | 26 | 900,000$ | 900,000$ | |||||||
Scott Sabourin | RW | 33 | 775,000$ | 775,000$ | UFA | ||||||
Spencer Smallman | RW | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Tristan Bertucci | D | 20 | 846,666$ | 846,666$ | 846,666$ | 846,666$ | RFA | ||||
Tristen Robins | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Tye Kartye | LW | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
Tyrel Bauer | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Ville Koivunen | RW | 22 | 800,000$ | 800,000$ | RFA | ||||||
Vyacheslav Peksa | G | 23 | 851,667$ | 851,667$ | 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 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 5 | 1 | 3 | 0 | 89 | 32 | 27 | 30 | 0 | 62 | 17 | 31 | 48 | 16 | 7 | 43.75% | 7 | 0 | 100.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 49 | 33 | 44 | 14 | 25 | 13 | 33.3% | 10.1% | 93.5% | 103.7 | LUCKY | |
| 2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 16 | 24 | 0 | 0 | 5 | 1 | 2 | 0 | 95 | 46 | 32 | 17 | 0 | 111 | 31 | 26 | 60 | 12 | 1 | 8.33% | 13 | 2 | 84.62% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 69 | 46 | 72 | 22 | 38 | 18 | 58.3% | 8.4% | 93.7% | 102.1 | DULL | |
| 3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 1 | 1 | 64 | 17 | 19 | 26 | 2 | 62 | 20 | 14 | 36 | 7 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 50 | 34 | 47 | 15 | 26 | 13 | 50.0% | 6.3% | 93.5% | 99.8 | DULL | |
| 4 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 1 | 1 | 74 | 25 | 15 | 31 | 3 | 76 | 21 | 14 | 58 | 10 | 2 | 20.00% | 7 | 0 | 100.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 49 | 33 | 48 | 16 | 26 | 13 | 22.2% | 5.4% | 90.8% | 96.2 | Unlucky | |
| 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 64 | 17 | 27 | 20 | 0 | 55 | 14 | 8 | 34 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 51 | 37 | 42 | 14 | 26 | 13 | 62.5% | 9.4% | 92.7% | 102.1 | LUCKY | |
| 6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 20 | 30 | 0 | 0 | 1 | 4 | 5 | 0 | 90 | 31 | 29 | 30 | 0 | 88 | 30 | 20 | 54 | 12 | 1 | 8.33% | 8 | 1 | 87.50% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 67 | 45 | 75 | 23 | 37 | 17 | 60.0% | 11.1% | 92.0% | 103.2 | LUCKY | |
| 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 1 | 0 | 3 | 1 | 0 | 58 | 15 | 21 | 22 | 0 | 55 | 11 | 36 | 31 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 48 | 33 | 46 | 15 | 24 | 11 | 75.0% | 6.9% | 96.4% | 103.3 | DULL | |
| 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 81 | 30 | 31 | 20 | 0 | 60 | 31 | 16 | 40 | 6 | 1 | 16.67% | 8 | 3 | 62.50% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 48 | 33 | 47 | 13 | 24 | 12 | 50.0% | 6.2% | 88.3% | 94.5 | Unlucky | |
| 9 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 2 | 2 | 3 | 1 | 61 | 20 | 27 | 11 | 5 | 60 | 19 | 8 | 40 | 6 | 4 | 66.67% | 3 | 0 | 100.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 47 | 32 | 53 | 13 | 24 | 12 | 40.0% | 13.1% | 90.0% | 103.1 | FUN | |
| 10 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 7 | -1 | 3 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 1 | 4 | 0 | 98 | 32 | 29 | 36 | 1 | 76 | 14 | 20 | 71 | 14 | 4 | 28.57% | 8 | 1 | 87.50% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 76 | 53 | 67 | 21 | 39 | 20 | 25.0% | 6.1% | 90.8% | 96.9 | Unlucky | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 31 | 12 | 11 | 8 | 0 | 31 | 6 | 0 | 17 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 23 | 15 | 21 | 6 | 14 | 7 | 33.3% | 3.2% | 93.5% | 96.8 | DULL | |
| 12 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 4 | 0 | 2 | 1 | 73 | 32 | 21 | 18 | 2 | 88 | 21 | 39 | 43 | 8 | 2 | 25.00% | 8 | 5 | 37.50% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 48 | 34 | 49 | 13 | 23 | 11 | 55.6% | 9.6% | 89.8% | 99.4 | FUN | |
| 13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 79 | 22 | 26 | 31 | 0 | 62 | 17 | 18 | 35 | 7 | 3 | 42.86% | 8 | 2 | 75.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 51 | 36 | 43 | 13 | 24 | 12 | 0.0% | 3.8% | 88.7% | 92.5 | Unlucky | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 4 | 0 | 0 | 54 | 6 | 31 | 17 | 0 | 24 | 6 | 4 | 13 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 27 | 20 | 20 | 6 | 12 | 6 | 71.4% | 11.1% | 91.7% | 102.8 | LUCKY | |
| 15 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 5 | -2 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 70 | 19 | 24 | 25 | 2 | 59 | 20 | 6 | 44 | 12 | 1 | 8.33% | 3 | 1 | 66.67% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 50 | 36 | 46 | 14 | 25 | 13 | 33.3% | 4.3% | 91.5% | 95.8 | DULL | |
| 16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 4 | 1 | 2 | 0 | 51 | 14 | 15 | 22 | 0 | 62 | 16 | 16 | 40 | 9 | 2 | 22.22% | 8 | 0 | 100.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 43 | 29 | 51 | 15 | 24 | 11 | 45.5% | 13.7% | 90.3% | 104.0 | FUN | |
| 17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 2 | 2 | 4 | 0 | 76 | 26 | 18 | 32 | 0 | 60 | 21 | 16 | 43 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 50 | 35 | 45 | 14 | 24 | 12 | 58.3% | 10.5% | 88.3% | 98.9 | FUN | |
| 18 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 13 | -10 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 89 | 32 | 30 | 27 | 0 | 103 | 26 | 18 | 58 | 11 | 1 | 9.09% | 9 | 5 | 44.44% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 71 | 51 | 71 | 19 | 36 | 18 | 20.0% | 3.4% | 87.4% | 90.7 | Unlucky | |
| 19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 48 | 20 | 10 | 18 | 0 | 22 | 7 | 23 | 23 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 27 | 20 | 20 | 7 | 12 | 6 | 33.3% | 4.2% | 77.3% | 81.4 | Unlucky | |
| 20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 2 | 3 | 4 | 0 | 74 | 17 | 31 | 26 | 0 | 55 | 12 | 12 | 36 | 7 | 1 | 14.29% | 6 | 2 | 66.67% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 54 | 38 | 39 | 14 | 26 | 14 | 66.7% | 12.2% | 89.1% | 101.3 | FUN | |
| 21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 18 | 27 | 0 | 1 | 5 | 2 | 2 | 0 | 64 | 25 | 21 | 18 | 0 | 60 | 19 | 21 | 42 | 11 | 4 | 36.36% | 8 | 0 | 100.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 49 | 34 | 44 | 15 | 26 | 13 | 62.5% | 14.1% | 95.0% | 109.1 | LUCKY | |
| 22 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 3 | 2 | 4 | 1 | 81 | 29 | 30 | 21 | 6 | 66 | 16 | 12 | 24 | 14 | 4 | 28.57% | 6 | 3 | 50.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 55 | 39 | 44 | 15 | 24 | 13 | 75.0% | 12.3% | 92.4% | 104.8 | LUCKY | |
| 23 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 1 | 2 | 45 | 13 | 14 | 13 | 7 | 45 | 9 | 10 | 14 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 23 | 15 | 27 | 7 | 14 | 7 | 60.0% | 6.7% | 95.6% | 102.2 | DULL | |
| 24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 24 | 7 | 9 | 8 | 0 | 39 | 18 | 16 | 13 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 22 | 15 | 26 | 7 | 11 | 5 | 50.0% | 4.2% | 92.3% | 96.5 | DULL | |
| 25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 4 | 3 | 1 | 0 | 59 | 17 | 28 | 14 | 0 | 68 | 20 | 24 | 44 | 9 | 3 | 33.33% | 10 | 4 | 60.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 43 | 28 | 50 | 14 | 25 | 13 | 71.4% | 13.6% | 91.2% | 104.7 | LUCKY | |
| 26 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 38 | 14 | 11 | 8 | 8 | 40 | 13 | 4 | 10 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 25 | 18 | 27 | 7 | 12 | 6 | 42.9% | 10.5% | 87.5% | 98.0 | FUN | |
| 27 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 28 | 6 | 10 | 12 | 0 | 44 | 11 | 10 | 26 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 24 | 15 | 23 | 8 | 12 | 6 | 50.0% | 7.1% | 97.7% | 104.9 | DULL | |
| _Vs Division | 14 | 4 | 7 | 0 | 1 | 1 | 1 | 0 | 38 | 45 | -7 | 13 | 0.464 | 38 | 67 | 105 | 0 | 0 | 11 | 11 | 14 | 2 | 455 | 143 | 160 | 145 | 9 | 438 | 112 | 96 | 307 | 57 | 15 | 26.32% | 43 | 12 | 72.09% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 342 | 237 | 330 | 99 | 179 | 91 | 41.1% | 8.4% | 89.7% | 98.1 | Unlucky | |
| _Vs Conference | 30 | 12 | 13 | 0 | 2 | 1 | 1 | 1 | 85 | 84 | 1 | 32 | 0.533 | 85 | 156 | 241 | 0 | 1 | 32 | 23 | 27 | 3 | 982 | 335 | 341 | 292 | 19 | 945 | 276 | 205 | 600 | 119 | 24 | 20.17% | 93 | 20 | 78.49% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 727 | 503 | 707 | 218 | 387 | 195 | 48.8% | 8.7% | 91.1% | 99.8 | Unlucky | |
| _Since Last GM Reset | 51 | 20 | 22 | 0 | 3 | 2 | 3 | 1 | 150 | 142 | 8 | 55 | 0.539 | 150 | 273 | 423 | 0 | 2 | 57 | 40 | 47 | 7 | 1758 | 576 | 597 | 561 | 36 | 1633 | 466 | 442 | 997 | 217 | 47 | 21.66% | 171 | 37 | 78.36% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 1250 | 867 | 1197 | 373 | 649 | 328 | 49.5% | 8.5% | 91.3% | 99.8 | DULL | |
| Total | 51 | 20 | 22 | 0 | 3 | 2 | 3 | 1 | 150 | 142 | 8 | 55 | 0.539 | 150 | 273 | 423 | 0 | 2 | 57 | 40 | 47 | 7 | 1758 | 576 | 597 | 561 | 36 | 1633 | 466 | 442 | 997 | 217 | 47 | 21.66% | 171 | 37 | 78.36% | 0 | 1051 | 1932 | 54.40% | 916 | 1783 | 51.37% | 427 | 807 | 52.91% | 1250 | 867 | 1197 | 373 | 649 | 328 | 49.5% | 8.5% | 91.3% | 99.8 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1932 |
| Neutral Zone Start | 807 |
| Defensive Zone Start | 1783 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2394 |
| Faceoffs Lost | 2128 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.3 | 9.57 |
| 2nd Period | 23.0 | 20.31 |
| 3rd Period | 34.0 | 30.68 |
| Overtime | 34.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 103 |
|---|---|
| PP Goal | 47 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 14 | 12 |
| Lost | 9 | 13 |
| Overtime Lost | 2 | 1 |
| PP Attempt | 217 |
|---|---|
| PP Goal | 47 |
| PK Attempt | 171 |
| PK Goal Against | 37 |
| Home | |
|---|---|
| Shots For | 34.5 |
| Shots Against | 32.0 |
| Goals For | 2.9 |
| Goals Against | 2.8 |
| Hits | 19.5 |
| Shots Blocked | 9.1 |
| Pim | 8.7 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Rangers2,Sabres3 | RECAP | |||||||||||
| 2025-10-12 | @ | Sabres0,Bruins4 | RECAP | |||||||||||
| 2025-10-14 | @ | Avalanche2,Sabres0 | RECAP | |||||||||||
| 2025-10-16 | @ | Senators2,Sabres3 (OT) | RECAP | |||||||||||
| 2025-10-19 | @ | Panthers1,Sabres7 | RECAP | |||||||||||
| 2025-10-21 | @ | Sabres2,Canadiens1 | RECAP | |||||||||||
| 2025-10-23 | @ | Red Wings5,Sabres6 (SO) | RECAP | |||||||||||
| 2025-10-25 | @ | Maple Leafs3,Sabres6 | RECAP | |||||||||||
| 2025-10-26 | @ | Sabres2,Maple Leafs3 | RECAP | |||||||||||
| 2025-10-29 | @ | Blue Jackets0,Sabres4 | RECAP | |||||||||||
| 2025-10-31 | @ | Sabres2,Bruins6 | RECAP | |||||||||||
| 2025-11-02 | @ | Capitals2,Sabres1 | RECAP | |||||||||||
| 2025-11-05 | @ | Mammoth5,Sabres1 | RECAP | |||||||||||
| 2025-11-07 | @ | Blues2,Sabres4 | RECAP | |||||||||||
| 2025-11-09 | @ | Sabres6,Hurricanes1 | RECAP | |||||||||||
| 2025-11-13 | @ | Sabres7,Mammoth2 | RECAP | |||||||||||
| 2025-11-14 | @ | Sabres4,Avalanche0 | RECAP | |||||||||||
| 2025-11-16 | @ | Sabres2,Red Wings1 | RECAP | |||||||||||
| 2025-11-18 | @ | Oilers2,Sabres1 (OT) | RECAP | |||||||||||
| 2025-11-20 | @ | Flames2,Sabres5 | RECAP | |||||||||||
| 2025-11-22 | @ | Blackhawks5,Sabres2 | RECAP | |||||||||||
| 2025-11-24 | @ | Hurricanes1,Sabres2 | RECAP | |||||||||||
| 2025-11-27 | @ | Sabres4,Penguins5 (SO) | RECAP | |||||||||||
| 2025-11-29 | @ | Devils3,Sabres2 | RECAP | |||||||||||
| 2025-11-30 | @ | Sabres3,Wild6 | RECAP | |||||||||||
| 2025-12-02 | @ | Jets1,Sabres2 (SO) | RECAP | |||||||||||
| 2025-12-04 | @ | Sabres3,Flyers2 | RECAP | |||||||||||
| 2025-12-06 | @ | Sabres8,Jets4 | RECAP | |||||||||||
| 2025-12-09 | @ | Sabres4,Flames2 | RECAP | |||||||||||
| 2025-12-10 | @ | Sabres2,Oilers3 | RECAP | |||||||||||
| 2025-12-12 | @ | Sabres2,Canucks3 | RECAP | |||||||||||
| 2025-12-15 | @ | Sabres2,Kraken1 | RECAP | |||||||||||
| 2025-12-19 | @ | Flyers3,Sabres1 | RECAP | |||||||||||
| 2025-12-21 | @ | Islanders1,Sabres4 | RECAP | |||||||||||
| 2025-12-22 | @ | Sabres2,Devils1 (OT) | RECAP | |||||||||||
| 2025-12-24 | @ | Sabres1,Senators5 | RECAP | |||||||||||
| 2025-12-28 | @ | Bruins3,Sabres1 | RECAP | |||||||||||
| 2025-12-30 | @ | Sabres3,Blues4 | RECAP | |||||||||||
| 2026-01-01 | @ | Sabres1,Stars3 | RECAP | |||||||||||
| 2026-01-04 | @ | Sabres5,Blue Jackets3 | RECAP | |||||||||||
| 2026-01-07 | @ | Canucks4,Sabres1 | RECAP | |||||||||||
| 2026-01-09 | @ | Sabres2,Rangers5 | RECAP | |||||||||||
| 2026-01-11 | @ | Ducks2,Sabres3 (SO) | RECAP | |||||||||||
| 2026-01-13 | @ | Panthers5,Sabres2 | RECAP | |||||||||||
| 2026-01-15 | @ | Flyers2,Sabres4 | RECAP | |||||||||||
| 2026-01-16 | @ | Canadiens3,Sabres2 (OT) | RECAP | |||||||||||
| 2026-01-18 | @ | Wild3,Sabres4 (OT) | RECAP | |||||||||||
| 2026-01-20 | @ | Sabres2,Hurricanes5 | RECAP | |||||||||||
| 2026-01-21 | @ | Sabres6,Predators2 | RECAP | |||||||||||
| 2026-01-23 | @ | Sabres2,Canadiens3 | RECAP | |||||||||||
| 2026-01-25 | @ | Sabres2,Islanders3 | RECAP | |||||||||||
| 2026-01-28 | @ | |||||||||||||
| 2026-01-30 | @ | |||||||||||||
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| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,225,000$ | 0$ | 94,233,927$ | 1,275,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | KeyBank Center | |
| City | Buffalo | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 142392 | 119484 | 47979 | 96279 | 23591 |
| Attendance PCT | 94.93% | 95.59% | 95.96% | 96.28% | 94.36% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 16 | 17189 - 95.49% | 1,571,059$ | 39,276,484$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 94,225,000$ | 94,225,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 55,060,970$ | 490,755$ | 54,482,772$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 25,136,950$ | 81 | 495,964$ | 40,173,084$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 41,832,120$ | 94,225,000$ | 20,284,019$ | 3,588,849$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| 2026 | ||||||||
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| 2029 | ||||||||
| 2030 |
| 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 |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Antoine Keller | 2023 | 221 | |||
| Cole Eiserman | 2024 | 10 | |||
| Connor Levis | 2023 | 181 | |||
| Hoaxi Wang | 2025 | 39 | |||
| Jack Nesbitt | 2025 | 30 | |||
| Justin Kipkie | 2023 | 146 | |||
| Liam Arnsby | 2022 | 201 | |||
| Mason Langenbrunner | |||||
| Roman Bausov | 2025 | 98 | |||
| Tnias Mathurin | 2022 | 173 | |||
| Zachary Morin | 2025 | 211 |
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