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Full Scoreboard »» |
Buffalo Sabres 38-22-5, 81pts · 6th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/RW | 100.00 | 64 | 33 | 83 | 97 | 77 | 93 | 89 | 92 | 85 | 96 | 91 | 63 | 92 | 75 | 87 | 0 | 78 | 98 | 29 | 12,600,000$/7yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 33 | 90 | 79 | 77 | 86 | 90 | 75 | 59 | 75 | 81 | 58 | 78 | 69 | 68 | 0 | 84 | 84 | 26 | 8,125,000$/7yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 34 | 83 | 73 | 86 | 88 | 86 | 74 | 91 | 75 | 74 | 70 | 74 | 77 | 86 | 0 | 81 | 84 | 31 | 7,750,000$/6yrs | |||
![]() | 0 | C | 100.00 | 62 | 32 | 92 | 71 | 74 | 85 | 89 | 73 | 87 | 75 | 74 | 74 | 73 | 79 | 78 | 0 | 78 | 83 | 32 | 5,900,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 36 | 72 | 69 | 76 | 82 | 90 | 70 | 60 | 67 | 74 | 75 | 72 | 81 | 78 | 0 | 78 | 81 | 33 | 4,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 33 | 88 | 72 | 77 | 83 | 90 | 70 | 81 | 77 | 68 | 58 | 69 | 68 | 67 | 0 | 78 | 80 | 26 | 2,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 80 | 54 | 78 | 62 | 87 | 82 | 90 | 66 | 86 | 67 | 65 | 79 | 65 | 78 | 88 | 0 | 75 | 79 | 32 | 3,250,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 59 | 33 | 92 | 66 | 82 | 79 | 87 | 65 | 60 | 63 | 69 | 58 | 67 | 64 | 63 | 0 | 78 | 75 | 24 | 2,500,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 83 | 39 | 81 | 57 | 78 | 76 | 84 | 60 | 77 | 62 | 59 | 75 | 60 | 75 | 73 | 0 | 78 | 74 | 30 | 1,300,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 92 | 44 | 59 | 55 | 84 | 76 | 90 | 61 | 61 | 59 | 62 | 76 | 62 | 80 | 76 | 0 | 75 | 74 | 33 | 1,975,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 32 | 90 | 58 | 72 | 76 | 85 | 59 | 73 | 58 | 61 | 81 | 60 | 74 | 74 | 0 | 78 | 74 | 30 | 1,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 32 | 89 | 58 | 71 | 76 | 90 | 58 | 61 | 54 | 68 | 69 | 63 | 73 | 72 | 0 | 61 | 73 | 29 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 35 | 85 | 60 | 83 | 91 | 89 | 65 | 30 | 65 | 57 | 79 | 61 | 75 | 74 | 0 | 75 | 78 | 30 | 5,750,000$/6yrs | |||
![]() | 0 | D | 100.00 | 70 | 33 | 75 | 62 | 80 | 87 | 86 | 62 | 30 | 69 | 60 | 64 | 61 | 81 | 99 | 0 | 78 | 78 | 33 | 4,500,000$/3yrs | |||
![]() | 6 | D | 100.00 | 62 | 34 | 85 | 61 | 72 | 91 | 87 | 63 | 30 | 66 | 58 | 74 | 60 | 71 | 69 | 0 | 78 | 77 | 27 | 4,400,000$/4yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 91 | 62 | 69 | 81 | 86 | 67 | 30 | 60 | 52 | 80 | 64 | 69 | 77 | 0 | 78 | 76 | 29 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 99 | 54 | 62 | 55 | 80 | 85 | 88 | 60 | 30 | 59 | 58 | 76 | 59 | 71 | 67 | 0 | 72 | 75 | 27 | 2,000,000$/2yrs | |||
![]() | 55 | D | 100.00 | 63 | 32 | 87 | 55 | 71 | 83 | 68 | 58 | 30 | 59 | 58 | 71 | 58 | 70 | 69 | 0 | 68 | 72 | 27 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 98.00 | 66 | 31 | 93 | 61 | 63 | 92 | 80 | 69 | 30 | 68 | 63 | 84 | 66 | 84 | 96 | 0 | 50 | 82 | 35 | 7,200,000$/3yrs | |||
TEAM AVERAGE | 99.89 | 70 | 36 | 83 | 65 | 77 | 84 | 87 | 67 | 57 | 67 | 66 | 72 | 67 | 74 | 77 | 0 | 75 | 79 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 89 | 95 | 85 | 72 | 89 | 81 | 90 | 91 | 89 | 90 | 90 | 75 | 79 | 0 | 36 | 90 | 29 | 4,250,000$/9yrs |
![]() | 0 | 100.00 | 81 | 86 | 77 | 80 | 81 | 75 | 82 | 84 | 83 | 84 | 82 | 71 | 75 | 0 | 83 | 85 | 28 | 1,200,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 85 | 91 | 81 | 76 | 85 | 78 | 86 | 88 | 86 | 87 | 86 | 73 | 77 | 0 | 60 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 90 | 93 | 95 | 87 | 93 | 84 | 83 | CAN | 58 | 5 | 1,000,000$ |
General Manager | David Cassabon |
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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 |
# | 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 | 65 | 33 | 48 | 81 | 25 | 36 | 0 | 85 | 337 | 92 | 237 | 9.79% | 5 | 21.82 | 6 | 7 | 13 | 226 | 0 | 0 | 0 | 0 | 6 | 4 | 48.23% | 141 | 0 | 0 | 1 | 2 | 1.14 | 3 | 6 | |
2 | Tomas Hertl | 0 | C/LW | 65 | 17 | 38 | 55 | 22 | 69 | 15 | 117 | 193 | 42 | 122 | 8.81% | 12 | 21.05 | 1 | 7 | 8 | 219 | 0 | 0 | 0 | 4 | 3 | 2 | 55.14% | 1712 | 0 | 0 | 0 | 0 | 0.80 | 0 | 3 | |
3 | William Karlsson | 0 | C | 65 | 21 | 30 | 51 | 10 | 8 | 0 | 32 | 224 | 68 | 168 | 9.38% | 12 | 17.61 | 8 | 10 | 18 | 196 | 0 | 0 | 0 | 6 | 2 | 2 | 55.87% | 1457 | 0 | 0 | 0 | 0 | 0.89 | 1 | 3 | |
4 | Jordan Kyrou | 0 | LW/RW | 67 | 22 | 26 | 48 | 10 | 4 | 0 | 25 | 195 | 63 | 134 | 11.28% | 6 | 18.96 | 7 | 10 | 17 | 231 | 0 | 0 | 0 | 6 | 1 | 1 | 45.71% | 105 | 0 | 0 | 0 | 0 | 0.76 | 2 | 5 | |
5 | Blake Coleman | 0 | LW/RW | 65 | 23 | 24 | 47 | 10 | 56 | 0 | 142 | 258 | 74 | 181 | 8.91% | 10 | 16.80 | 9 | 9 | 18 | 196 | 0 | 0 | 0 | 9 | 3 | 2 | 53.25% | 77 | 0 | 0 | 0 | 1 | 0.86 | 1 | 2 | |
6 | Jared Spurgeon | 0 | D | 65 | 13 | 33 | 46 | -10 | 16 | 0 | 40 | 141 | 48 | 92 | 9.22% | 118 | 24.20 | 8 | 10 | 18 | 241 | 0 | 0 | 0 | 194 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
7 | Casey Mittelstadt | 0 | C/LW/RW | 65 | 13 | 18 | 31 | 5 | 6 | 0 | 27 | 125 | 46 | 100 | 10.40% | 7 | 17.53 | 4 | 5 | 9 | 196 | 0 | 0 | 0 | 43 | 1 | 0 | 52.68% | 112 | 0 | 0 | 0 | 0 | 0.54 | 0 | 2 | |
8 | John Marino | 6 | D | 65 | 5 | 25 | 30 | 8 | 40 | 0 | 85 | 68 | 27 | 50 | 7.35% | 75 | 21.42 | 2 | 7 | 9 | 204 | 0 | 1 | 1 | 193 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
9 | Brett Pesce | 0 | D | 65 | 7 | 17 | 24 | 2 | 47 | 5 | 71 | 76 | 30 | 45 | 9.21% | 89 | 21.82 | 1 | 5 | 6 | 202 | 1 | 0 | 1 | 231 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
10 | Oliver Ekman-Larsson | 0 | D | 65 | 3 | 20 | 23 | 28 | 42 | 0 | 80 | 48 | 17 | 33 | 6.25% | 52 | 21.85 | 2 | 4 | 6 | 221 | 0 | 0 | 0 | 17 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
11 | Adam Lowry | 0 | C | 65 | 12 | 8 | 20 | 3 | 91 | 15 | 115 | 84 | 28 | 82 | 14.29% | 7 | 13.40 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 229 | 2 | 1 | 58.15% | 626 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
12 | Tyler Motte | 0 | C/LW/RW | 65 | 10 | 10 | 20 | 3 | 4 | 0 | 9 | 48 | 11 | 35 | 20.83% | 13 | 8.91 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 262 | 1 | 1 | 53.00% | 417 | 0 | 0 | 1 | 0 | 0.69 | 0 | 0 | |
13 | Sebastien Aho | 0 | D | 65 | 3 | 15 | 18 | 9 | 2 | 0 | 16 | 46 | 19 | 24 | 6.52% | 72 | 17.17 | 0 | 1 | 1 | 10 | 0 | 0 | 0 | 231 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
14 | Kaapo Kakko | 0 | RW | 65 | 3 | 15 | 18 | 5 | 8 | 0 | 8 | 76 | 24 | 53 | 3.95% | 4 | 9.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 47.62% | 42 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
15 | Garnet Hathaway | 0 | LW/RW | 65 | 7 | 10 | 17 | 4 | 45 | 5 | 57 | 49 | 15 | 33 | 14.29% | 4 | 7.40 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 161 | 2 | 0 | 44.74% | 38 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |
16 | Curtis Lazar | 0 | C/RW | 65 | 5 | 7 | 12 | 5 | 6 | 0 | 16 | 45 | 16 | 39 | 11.11% | 9 | 7.51 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 173 | 1 | 0 | 48.99% | 247 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
17 | Jeremy Lauzon | 0 | D | 65 | 2 | 6 | 8 | 10 | 100 | 10 | 143 | 25 | 5 | 20 | 8.00% | 68 | 14.31 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 192 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
18 | Guillaume Brisebois | 55 | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0.00% | 1 | 13.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
19 | Joel Kiviranta | 0 | LW/RW | 10 | 0 | 0 | 0 | -1 | 2 | 0 | 6 | 6 | 3 | 5 | 0.00% | 1 | 9.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1118 | 199 | 350 | 549 | 148 | 584 | 50 | 1076 | 2044 | 628 | 1453 | 9.74% | 565 | 16.50 | 48 | 75 | 123 | 2164 | 3 | 3 | 6 | 1960 | 27 | 14 | 54.60% | 4980 | 0 | 0 | 2 | 3 | 0.60 | 7 | 21 |
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 | Juuse Saros | 43 | 19 | 17 | 4 | 0.887 | 3.30 | 2288 | 6 | 1 | 126 | 1111 | 0 | 0 | 1 | 0.786 | 14 | 42 | 23 | 1 | 1 | 2 | |
2 | Connor Ingram | 28 | 14 | 6 | 2 | 0.926 | 2.31 | 1458 | 4 | 1 | 56 | 753 | 0 | 0 | 0 | 0.769 | 13 | 20 | 45 | 3 | 0 | 1 | |
Team Total or Average | 71 | 33 | 23 | 6 | 0.902 | 2.91 | 3747 | 10 | 2 | 182 | 1864 | 0 | 0 | 1 | 0.778 | 27 | 62 | 68 | 4 | 1 | 3 |
Projected Total Cap Hit | 85,959,138$ |
Projected Cap Space | 2,040,862$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 72,363,234$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Sabres Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry ![]() | C | 32 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Blake Coleman ![]() | LW/RW | 33 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Brett Pesce ![]() | D | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |
Casey Mittelstadt ![]() | C/LW/RW | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Connor Ingram ![]() | G | 28 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Curtis Lazar ![]() | C/RW | 30 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Garnet Hathaway ![]() | LW/RW | 33 | 1,975,000$ | 1,975,000$ | UFA | ||||||
Guillaume Brisebois ![]() | D | 27 | 775,000$ | 775,000$ | |||||||
Jared Spurgeon ![]() | D | 35 | 7,200,000$ | 7,200,000$ | 7,200,000$ | 7,200,000$ | UFA | ||||
Jeremy Lauzon ![]() | D | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Joel Kiviranta ![]() | LW/RW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
John Marino ![]() | D | 27 | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | |||
Jordan Kyrou ![]() | LW/RW | 26 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | UFA |
Juuse Saros | G | 29 | 4,250,000$ | 4,250,000$ | 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$ | 2,500,000$ | |||||
Nathan MacKinnon ![]() | C/RW | 29 | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | UFA |
Oliver Ekman-Larsson ![]() | D | 33 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Sebastien Aho ![]() | D | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Tomas Hertl ![]() | C/LW | 31 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA | |
Tyler Motte ![]() | C/LW/RW | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
William Karlsson ![]() | C | 32 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Wilsby ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Akito Hirose ![]() | D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Alex Beaucage ![]() | RW | 23 | 800,000$ | 800,000$ | RFA | ||||||
Alexandre Doucet ![]() | C | 23 | 870,000$ | 870,000$ | RFA | ||||||
Ben Steeves ![]() | LW | 22 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Carl Lindbom ![]() | G | 21 | 840,000$ | 840,000$ | 840,000$ | RFA | |||||
Carson Lambos ![]() | D | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Chase Wheatcroft ![]() | LW | 22 | 862,500$ | 862,500$ | 862,500$ | RFA | |||||
Connor Ungar ![]() | G | 23 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Conor Geekie ![]() | C | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Daemon Hunt ![]() | D | 22 | 828,333$ | 828,333$ | RFA | ||||||
Declan Chisholm ![]() | D | 25 | 925,000$ | 925,000$ | ![]() | ||||||
Dillon Hamaliuk ![]() | LW | 24 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Drew Helleson ![]() | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Gabriel Szturc ![]() | C | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Glenn Gawdin ![]() | C/LW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Graeme Clarke ![]() | RW | 23 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Jake Chiasson ![]() | C | 21 | 843,333$ | 843,333$ | 843,333$ | RFA | |||||
John Ludvig ![]() | D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Kole Lind ![]() | RW | 26 | 970,000$ | 970,000$ | ![]() | ||||||
Lleyton Roed ![]() | LW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Mac Hollowell ![]() | D | 26 | 825,000$ | 825,000$ | ![]() | ||||||
Max Gildon ![]() | D | 25 | 875,000$ | 875,000$ | 875,000$ | ![]() | |||||
Maxwell Crozier ![]() | D | 24 | 867,500$ | 867,500$ | ![]() | ||||||
Nathan Smith ![]() | C | 26 | 820,000$ | 820,000$ | ![]() | ||||||
Pavel Novak ![]() | RW | 22 | 846,667$ | 846,667$ | RFA | ||||||
Ryan Tverberg ![]() | C/RW | 23 | 851,667$ | 851,667$ | 851,667$ | RFA | |||||
Samuel Walker ![]() | C/RW | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Tristen Robins ![]() | C | 23 | 797,500$ | 797,500$ | RFA | ||||||
Ty Voit ![]() | LW | 21 | 817,778$ | 817,778$ | RFA | ||||||
Tye Kartye ![]() | LW | 23 | 859,167$ | 859,167$ | RFA | ||||||
Ville Koivunen ![]() | RW | 21 | 828,333$ | 828,333$ | RFA | ||||||
Vyacheslav Peksa ![]() | G | 22 | 851,667$ | 851,667$ | 851,667$ | RFA | |||||
Xavier Bouchard ![]() | D | 25 | 775,000$ | 775,000$ | ![]() |
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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 | 16 | 25 | 0 | 0 | 5 | 4 | 0 | 0 | 66 | 18 | 24 | 24 | 0 | 67 | 20 | 24 | 39 | 3 | 1 | 33.33% | 11 | 0 | 100.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 50 | 36 | 45 | 13 | 24 | 12 | 66.7% | 13.6% | 94.0% | 107.7 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 26 | 7 | 6 | 13 | 0 | 44 | 9 | 21 | 25 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 17 | 9 | 30 | 8 | 12 | 5 | 33.3% | 3.8% | 90.9% | 94.8 | Unlucky | |
3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 4 | 0.667 | 13 | 25 | 38 | 0 | 0 | 7 | 2 | 4 | 0 | 121 | 56 | 29 | 36 | 0 | 94 | 30 | 30 | 70 | 13 | 2 | 15.38% | 14 | 2 | 85.71% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 73 | 52 | 70 | 21 | 36 | 18 | 68.8% | 10.7% | 92.6% | 103.3 | LUCKY | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 3 | 4 | 2 | 0 | 89 | 20 | 45 | 24 | 0 | 64 | 15 | 14 | 35 | 8 | 2 | 25.00% | 7 | 3 | 57.14% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 55 | 41 | 41 | 14 | 23 | 11 | 63.6% | 10.1% | 89.1% | 99.2 | FUN | |
5 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 5 | 8 | 5 | 0.833 | 13 | 24 | 37 | 0 | 1 | 4 | 3 | 6 | 0 | 120 | 33 | 36 | 50 | 1 | 85 | 27 | 35 | 51 | 10 | 1 | 10.00% | 15 | 1 | 93.33% | 1 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 74 | 51 | 69 | 23 | 39 | 20 | 75.0% | 10.8% | 94.1% | 105.0 | LUCKY | |
6 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 5 | 0 | 1 | 1 | 79 | 29 | 24 | 22 | 6 | 67 | 16 | 24 | 33 | 11 | 2 | 18.18% | 12 | 3 | 75.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 50 | 35 | 50 | 14 | 24 | 12 | 45.5% | 8.9% | 86.6% | 95.4 | Unlucky | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 4 | 1 | 1 | 0 | 70 | 30 | 24 | 16 | 0 | 57 | 14 | 24 | 33 | 6 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 50 | 34 | 43 | 15 | 26 | 12 | 66.7% | 8.6% | 89.5% | 98.0 | Unlucky | |
8 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 20 | 30 | 0 | 0 | 6 | 3 | 1 | 0 | 89 | 42 | 21 | 26 | 0 | 84 | 19 | 38 | 49 | 14 | 2 | 14.29% | 19 | 3 | 84.21% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 75 | 51 | 64 | 22 | 40 | 21 | 66.7% | 11.2% | 91.7% | 102.9 | LUCKY | |
9 | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 17 | 17 | 0 | 4 | 0.500 | 17 | 28 | 45 | 0 | 0 | 4 | 7 | 5 | 2 | 131 | 40 | 41 | 48 | 6 | 129 | 25 | 24 | 99 | 8 | 1 | 12.50% | 11 | 3 | 72.73% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 98 | 68 | 93 | 28 | 53 | 26 | 53.3% | 13.0% | 86.8% | 99.8 | FUN | |
10 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 13 | 10 | 3 | 4 | 0.500 | 13 | 25 | 38 | 0 | 0 | 5 | 5 | 2 | 1 | 113 | 31 | 39 | 41 | 2 | 118 | 29 | 32 | 77 | 12 | 3 | 25.00% | 16 | 2 | 87.50% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 92 | 64 | 99 | 29 | 51 | 24 | 55.6% | 11.5% | 91.5% | 103.0 | LUCKY | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 1 | 4 | 2 | 1 | 58 | 13 | 21 | 22 | 9 | 64 | 27 | 37 | 39 | 4 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 48 | 34 | 50 | 14 | 25 | 11 | 53.8% | 12.1% | 89.1% | 101.1 | FUN | |
12 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 31 | 5 | 9 | 17 | 0 | 30 | 13 | 15 | 10 | 6 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 26 | 19 | 21 | 7 | 12 | 6 | 50.0% | 3.2% | 93.3% | 96.6 | DULL | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 2 | 4 | 0 | 70 | 27 | 23 | 20 | 0 | 46 | 11 | 12 | 42 | 10 | 2 | 20.00% | 5 | 0 | 100.00% | 1 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 52 | 37 | 41 | 14 | 25 | 13 | 60.0% | 11.4% | 91.3% | 102.7 | LUCKY | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 68 | 24 | 16 | 28 | 0 | 73 | 22 | 28 | 37 | 7 | 1 | 14.29% | 12 | 4 | 66.67% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 46 | 32 | 48 | 14 | 25 | 13 | 57.1% | 7.4% | 90.4% | 97.8 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 4 | 2 | 1 | 0 | 83 | 21 | 27 | 35 | 0 | 49 | 14 | 21 | 44 | 9 | 2 | 22.22% | 7 | 0 | 100.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 55 | 39 | 38 | 14 | 25 | 13 | 41.7% | 8.4% | 85.7% | 94.1 | Unlucky | |
16 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 2 | 1 | 26 | 5 | 9 | 9 | 3 | 29 | 9 | 10 | 26 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 25 | 16 | 23 | 8 | 13 | 6 | 50.0% | 11.5% | 93.1% | 104.6 | LUCKY | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 0 | 4 | 0 | 56 | 24 | 18 | 14 | 0 | 63 | 19 | 24 | 47 | 9 | 2 | 22.22% | 12 | 3 | 75.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 46 | 31 | 47 | 15 | 26 | 13 | 62.5% | 12.5% | 90.5% | 103.0 | FUN | |
18 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 5 | 9 | 0 | 0 | 2 | 1 | 0 | 2 | 65 | 26 | 21 | 16 | 11 | 57 | 18 | 10 | 40 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 51 | 35 | 50 | 14 | 27 | 14 | 50.0% | 6.2% | 93.0% | 99.1 | DULL | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 11 | 11 | 9 | 0 | 39 | 8 | 8 | 19 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 22 | 14 | 24 | 7 | 12 | 6 | 20.0% | 3.2% | 89.7% | 93.0 | Unlucky | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 3 | 1 | 5 | 0 | 68 | 20 | 30 | 18 | 0 | 53 | 17 | 8 | 52 | 8 | 1 | 12.50% | 4 | 2 | 50.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 49 | 34 | 45 | 13 | 25 | 12 | 50.0% | 13.2% | 81.1% | 94.4 | FUN | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 51 | 19 | 20 | 12 | 0 | 68 | 23 | 24 | 35 | 5 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 45 | 30 | 49 | 15 | 25 | 12 | 50.0% | 7.8% | 92.6% | 100.5 | DULL | |
22 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 4 | 0.667 | 12 | 22 | 34 | 0 | 1 | 4 | 4 | 4 | 0 | 100 | 34 | 32 | 34 | 0 | 91 | 24 | 26 | 52 | 14 | 3 | 21.43% | 11 | 1 | 90.91% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 77 | 53 | 65 | 21 | 37 | 19 | 60.0% | 12.0% | 92.3% | 104.3 | LUCKY | |
23 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 1 | 1 | 66 | 26 | 11 | 27 | 2 | 59 | 22 | 11 | 31 | 9 | 1 | 11.11% | 3 | 0 | 100.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 48 | 33 | 47 | 16 | 26 | 14 | 62.5% | 9.1% | 94.9% | 104.0 | LUCKY | |
24 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 0 | 1 | 27 | 7 | 13 | 5 | 2 | 34 | 11 | 8 | 14 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 26 | 18 | 25 | 7 | 13 | 6 | 50.0% | 14.8% | 91.2% | 106.0 | LUCKY | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 56 | 21 | 15 | 20 | 0 | 51 | 21 | 18 | 30 | 7 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 46 | 31 | 48 | 15 | 25 | 12 | 50.0% | 3.6% | 92.2% | 95.7 | DULL | |
26 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 1 | 2 | 3 | 1 | 82 | 22 | 27 | 32 | 1 | 65 | 18 | 23 | 30 | 11 | 3 | 27.27% | 9 | 1 | 88.89% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 47 | 33 | 51 | 15 | 24 | 11 | 57.1% | 8.5% | 93.8% | 102.4 | DULL | |
27 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 4 | 0 | 0 | 74 | 19 | 29 | 26 | 0 | 57 | 14 | 22 | 27 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 45 | 30 | 47 | 15 | 27 | 13 | 62.5% | 8.1% | 91.2% | 99.3 | DULL | |
28 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 0 | 1 | 4 | 0 | 60 | 13 | 22 | 25 | 0 | 61 | 12 | 32 | 29 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 48 | 33 | 47 | 15 | 24 | 11 | 44.4% | 8.3% | 88.5% | 96.9 | Unlucky | |
29 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 1 | 3 | 69 | 21 | 18 | 23 | 9 | 58 | 18 | 12 | 38 | 8 | 3 | 37.50% | 6 | 2 | 66.67% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 52 | 36 | 50 | 16 | 25 | 12 | 55.6% | 11.6% | 89.7% | 101.2 | FUN | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 1 | 9 | 4 | 1.000 | 10 | 18 | 28 | 0 | 1 | 5 | 2 | 3 | 0 | 78 | 35 | 22 | 21 | 0 | 41 | 19 | 17 | 37 | 11 | 3 | 27.27% | 6 | 0 | 100.00% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 55 | 40 | 39 | 14 | 24 | 13 | 87.5% | 12.8% | 97.6% | 110.4 | LUCKY | |
31 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 62 | 24 | 21 | 17 | 0 | 57 | 14 | 32 | 35 | 9 | 0 | 0.00% | 6 | 1 | 83.33% | 1 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 54 | 39 | 41 | 13 | 24 | 12 | 50.0% | 4.8% | 93.0% | 97.8 | DULL | |
_Vs Division | 18 | 7 | 8 | 0 | 2 | 0 | 1 | 0 | 69 | 58 | 11 | 20 | 0.556 | 69 | 124 | 193 | 0 | 1 | 21 | 25 | 20 | 4 | 601 | 169 | 225 | 200 | 11 | 541 | 133 | 136 | 368 | 60 | 12 | 20.00% | 63 | 13 | 79.37% | 0 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 443 | 310 | 414 | 132 | 231 | 115 | 55.9% | 11.5% | 89.3% | 100.8 | FUN | |
_Vs Conference | 36 | 15 | 13 | 0 | 3 | 2 | 2 | 1 | 131 | 107 | 24 | 43 | 0.597 | 131 | 239 | 370 | 0 | 2 | 47 | 40 | 39 | 7 | 1220 | 388 | 395 | 421 | 29 | 1099 | 295 | 364 | 695 | 130 | 21 | 16.15% | 153 | 27 | 82.35% | 1 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 882 | 612 | 844 | 268 | 460 | 230 | 57.9% | 10.7% | 90.3% | 101.0 | FUN | |
_Since Last GM Reset | 65 | 28 | 22 | 0 | 6 | 3 | 4 | 2 | 217 | 178 | 39 | 81 | 0.623 | 217 | 390 | 607 | 0 | 3 | 81 | 62 | 64 | 14 | 2185 | 723 | 704 | 730 | 52 | 1954 | 558 | 664 | 1225 | 246 | 39 | 15.85% | 276 | 45 | 83.70% | 3 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 1612 | 1124 | 1512 | 485 | 828 | 418 | 57.2% | 9.9% | 90.9% | 100.8 | FUN | |
Total | 65 | 28 | 22 | 0 | 6 | 3 | 4 | 2 | 217 | 178 | 39 | 81 | 0.623 | 217 | 390 | 607 | 0 | 3 | 81 | 62 | 64 | 14 | 2185 | 723 | 704 | 730 | 52 | 1954 | 558 | 664 | 1225 | 246 | 39 | 15.85% | 276 | 45 | 83.70% | 3 | 1303 | 2376 | 54.84% | 1254 | 2262 | 55.44% | 575 | 1063 | 54.09% | 1612 | 1124 | 1512 | 485 | 828 | 418 | 57.2% | 9.9% | 90.9% | 100.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2376 |
Neutral Zone Start | 1063 |
Defensive Zone Start | 2262 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3132 |
Faceoffs Lost | 2569 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 33.2 | 30.68 |
Overtime | 34.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 175 |
---|---|
PP Goal | 39 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 25 | 13 |
Lost | 8 | 14 |
Overtime Lost | 1 | 4 |
PP Attempt | 246 |
---|---|
PP Goal | 39 |
PK Attempt | 276 |
PK Goal Against | 45 |
Home | |
---|---|
Shots For | 33.6 |
Shots Against | 30.1 |
Goals For | 3.3 |
Goals Against | 2.7 |
Hits | 18.8 |
Shots Blocked | 8.6 |
Pim | 10.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-06 | @ | Devils1,Sabres7 | RECAP | |||||||||||
2024-10-07 | @ | Sabres3,Devils4 | RECAP | |||||||||||
2024-10-12 | @ | Kings2,Sabres4 | RECAP | |||||||||||
2024-10-14 | @ | Panthers4,Sabres2 | RECAP | |||||||||||
2024-10-18 | @ | Sabres3,Penguins4 (OT) | RECAP | |||||||||||
2024-10-19 | @ | Sabres2,Blue Jackets1 (OT) | RECAP | |||||||||||
2024-10-21 | @ | Sabres1,Blackhawks3 | RECAP | |||||||||||
2024-10-24 | @ | Stars1,Sabres3 | RECAP | |||||||||||
2024-10-28 | @ | Red Wings6,Sabres7 (SO) | RECAP | |||||||||||
2024-10-30 | @ | Panthers0,Sabres3 | RECAP | |||||||||||
2024-11-03 | @ | Islanders0,Sabres5 | RECAP | |||||||||||
2024-11-04 | @ | Sabres3,Red Wings4 | RECAP | |||||||||||
2024-11-07 | @ | Senators2,Sabres5 | RECAP | |||||||||||
2024-11-09 | @ | Sabres3,Rangers1 | RECAP | |||||||||||
2024-11-11 | @ | Flames2,Sabres4 | RECAP | |||||||||||
2024-11-13 | @ | Canadiens2,Sabres3 (OT) | RECAP | |||||||||||
2024-11-16 | @ | Blues3,Sabres4 (SO) | RECAP | |||||||||||
2024-11-18 | @ | Sabres1,Flyers4 | RECAP | |||||||||||
2024-11-22 | @ | Sabres1,Kings5 | RECAP | |||||||||||
2024-11-24 | @ | Sabres1,Ducks2 | RECAP | |||||||||||
2024-11-25 | @ | Sabres4,Sharks3 (SO) | RECAP | |||||||||||
2024-11-29 | @ | Wild2,Sabres1 (OT) | RECAP | |||||||||||
2024-12-01 | @ | Canucks2,Sabres5 | RECAP | |||||||||||
2024-12-02 | @ | Sabres6,Islanders2 | RECAP | |||||||||||
2024-12-05 | @ | Avalanche4,Sabres2 | RECAP | |||||||||||
2024-12-07 | @ | Jets3,Sabres4 (OT) | RECAP | |||||||||||
2024-12-09 | @ | Hockey Club4,Sabres1 | RECAP | |||||||||||
2024-12-11 | @ | Red Wings4,Sabres5 | RECAP | |||||||||||
2024-12-13 | @ | Rangers3,Sabres2 | RECAP | |||||||||||
2024-12-16 | @ | Sabres3,Capitals4 (SO) | RECAP | |||||||||||
2024-12-17 | @ | Sabres2,Maple Leafs3 | RECAP | |||||||||||
2024-12-19 | @ | Sabres1,Canadiens3 | RECAP | |||||||||||
2024-12-22 | @ | Maple Leafs2,Sabres4 | RECAP | |||||||||||
2024-12-23 | @ | Sabres6,Bruins5 | RECAP | |||||||||||
2024-12-25 | @ | Sabres2,Islanders3 (OT) | RECAP | |||||||||||
2024-12-29 | @ | Blackhawks2,Sabres3 | RECAP | |||||||||||
2024-12-31 | @ | Sabres0,Blues1 (SO) | RECAP | |||||||||||
2025-01-02 | @ | Sabres4,Stars3 (OT) | RECAP | |||||||||||
2025-01-04 | @ | Sabres4,Avalanche2 | RECAP | |||||||||||
2025-01-06 | @ | Sabres5,Golden Knights1 | RECAP | |||||||||||
2025-01-08 | @ | Capitals3,Sabres4 | RECAP | |||||||||||
2025-01-11 | @ | Sabres4,Senators5 | RECAP | |||||||||||
2025-01-13 | @ | Kraken2,Sabres0 | RECAP | |||||||||||
2025-01-17 | @ | Hurricanes4,Sabres5 (SO) | RECAP | |||||||||||
2025-01-19 | @ | Penguins3,Sabres2 | RECAP | |||||||||||
2025-01-22 | @ | Sabres3,Kraken2 | RECAP | |||||||||||
2025-01-23 | @ | Sabres3,Canucks2 | RECAP | |||||||||||
2025-01-25 | @ | Sabres5,Flames2 | RECAP | |||||||||||
2025-01-27 | @ | Sabres2,Oilers4 | RECAP | |||||||||||
2025-01-30 | @ | Bruins5,Sabres3 | RECAP | |||||||||||
2025-02-02 | @ | Predators3,Sabres4 | RECAP | |||||||||||
2025-02-04 | @ | Devils2,Sabres3 | RECAP | |||||||||||
2025-02-06 | @ | Blue Jackets2,Sabres4 | RECAP | |||||||||||
2025-02-10 | @ | Sabres3,Predators4 | RECAP | |||||||||||
2025-02-24 | @ | Rangers3,Sabres5 | RECAP | |||||||||||
2025-02-27 | @ | Ducks2,Sabres1 | RECAP | |||||||||||
2025-03-01 | @ | Sabres2,Hurricanes5 | RECAP | |||||||||||
2025-03-03 | @ | Canadiens2,Sabres8 | RECAP | |||||||||||
2025-03-05 | @ | Sabres1,Canadiens3 | RECAP | |||||||||||
2025-03-06 | @ | Sharks3,Sabres4 (OT) | RECAP | |||||||||||
2025-03-08 | @ | Sabres3,Lightning2 (OT) | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Sabres7,Panthers3 | RECAP | |||||||||||
2025-03-12 | @ | Oilers2,Sabres5 | RECAP | |||||||||||
2025-03-14 | @ | Sabres2,Red Wings3 | RECAP | |||||||||||
2025-03-17 | @ | Golden Knights0,Sabres5 | RECAP | |||||||||||
2025-03-19 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,275,000$ | 0$ | 85,959,138$ | 4,725,000$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 193507 | 161346 | 64889 | 130637 | 32772 |
Attendance PCT | 94.86% | 94.91% | 95.43% | 96.06% | 96.39% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 17152 - 95.29% | 1,572,346$ | 53,459,770$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,275,000$ | 83,275,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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73,199,962$ | 424,872$ | 72,363,234$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
11,006,423$ | 32 | 429,974$ | 13,759,168$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
14,096,776$ | 83,275,000$ | 38,235,361$ | 35,145,008$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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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2025 | ||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Adam Zlnka | 2022 | 220 | |||
Alex Campbell | 2019 | 58 | 7.0 - 7.0 | ||
Alex Young | 2020 | 132 | |||
Antoine Keller | 2023 | 221 | |||
Brayden Yager | 2023 | 17 | |||
Cole Eiserman | 2024 | 10 | |||
Connor Levis | 2023 | 181 | |||
Connor Lockhart | 2021 | 165 | |||
Daniel Ljungman | 2020 | 130 | |||
Danny Weight | 2020 | 164 | |||
Eric Pohlkamp | 2023 | 130 | |||
Graham Sward | 2022 | 142 | |||
Hugo Ollas | 2020 | 168 | |||
Justin Kipkie | 2023 | 146 | |||
Kalle Kangas | 2023 | 212 | |||
Liam Arnsby | 2022 | 201 | |||
Luca Cagnoni | 2023 | 45 | |||
Lucas Forsell | 2021 | 202 | |||
Maros Jedlicka | 2023 | 208 | |||
Mason Langenbrunner | |||||
Michal Gut | 2020 | 206 | |||
Patrick Moynihan | 2019 | 155 | 4.0 - 5.0 | ||
Riley Piercey | 2020 | 193 | |||
Tnias Mathurin | 2022 | 173 | |||
Tyson Dyck | 2022 | 196 | |||
Zachary Michaelis | 2020 | 194 | |||
Zam Plante | 2022 | 128 |
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