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Full Scoreboard »» |
Buffalo Sabres 46-29-5, 97pts · 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 | 97.00 | 64 | 33 | 83 | 97 | 77 | 93 | 89 | 92 | 85 | 96 | 91 | 63 | 92 | 75 | 87 | 0 | 80 | 98 | 29 | 12,600,000$/7yrs | |||
![]() | 0 | LW/RW | 96.00 | 57 | 33 | 90 | 79 | 77 | 86 | 90 | 75 | 59 | 75 | 81 | 58 | 78 | 69 | 68 | 0 | 81 | 84 | 26 | 8,125,000$/7yrs | |||
![]() | 0 | C/LW | 96.00 | 69 | 34 | 83 | 73 | 86 | 88 | 86 | 74 | 91 | 75 | 74 | 70 | 74 | 77 | 86 | 0 | 79 | 84 | 31 | 7,750,000$/6yrs | |||
![]() | 0 | C | 100.00 | 62 | 32 | 92 | 71 | 74 | 85 | 89 | 73 | 87 | 75 | 74 | 74 | 73 | 79 | 78 | 0 | 80 | 83 | 32 | 5,900,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 36 | 72 | 69 | 76 | 82 | 90 | 70 | 60 | 67 | 74 | 75 | 72 | 81 | 78 | 0 | 80 | 81 | 33 | 4,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 33 | 88 | 72 | 77 | 83 | 90 | 70 | 81 | 77 | 68 | 58 | 69 | 68 | 67 | 0 | 80 | 80 | 26 | 2,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 80 | 54 | 78 | 62 | 87 | 82 | 90 | 66 | 86 | 67 | 65 | 79 | 65 | 78 | 88 | 0 | 79 | 79 | 32 | 3,250,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 59 | 33 | 92 | 66 | 82 | 79 | 87 | 65 | 60 | 63 | 69 | 58 | 67 | 64 | 63 | 0 | 80 | 75 | 24 | 2,500,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 83 | 39 | 81 | 57 | 78 | 76 | 84 | 60 | 77 | 62 | 59 | 75 | 60 | 75 | 73 | 0 | 80 | 74 | 30 | 1,300,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 92 | 44 | 59 | 55 | 84 | 76 | 90 | 61 | 61 | 59 | 62 | 76 | 62 | 80 | 76 | 0 | 79 | 74 | 33 | 1,975,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 32 | 90 | 58 | 72 | 76 | 85 | 59 | 73 | 58 | 61 | 81 | 60 | 74 | 74 | 0 | 80 | 74 | 30 | 1,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 32 | 89 | 58 | 71 | 76 | 90 | 58 | 61 | 54 | 68 | 69 | 63 | 73 | 72 | 0 | 67 | 73 | 29 | 800,000$/2yrs | |||
![]() | 0 | D | 97.00 | 66 | 31 | 93 | 61 | 63 | 92 | 80 | 69 | 30 | 68 | 63 | 84 | 66 | 84 | 96 | 0 | 55 | 82 | 35 | 7,200,000$/3yrs | |||
![]() | 0 | D | 99.00 | 59 | 35 | 85 | 60 | 83 | 91 | 89 | 65 | 30 | 65 | 57 | 79 | 61 | 75 | 74 | 0 | 79 | 78 | 30 | 5,750,000$/6yrs | |||
![]() | 0 | D | 96.00 | 70 | 33 | 75 | 62 | 80 | 87 | 86 | 62 | 30 | 69 | 60 | 64 | 61 | 81 | 99 | 0 | 81 | 78 | 33 | 4,500,000$/3yrs | |||
![]() | 6 | D | 100.00 | 62 | 34 | 85 | 61 | 72 | 91 | 87 | 63 | 30 | 66 | 58 | 74 | 60 | 71 | 69 | 0 | 80 | 77 | 27 | 4,400,000$/4yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 91 | 62 | 69 | 81 | 86 | 67 | 30 | 60 | 52 | 80 | 64 | 69 | 77 | 0 | 80 | 76 | 29 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 99 | 54 | 62 | 55 | 80 | 85 | 88 | 60 | 30 | 59 | 58 | 76 | 59 | 71 | 67 | 0 | 78 | 75 | 27 | 2,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 98.94 | 70 | 36 | 83 | 65 | 77 | 84 | 88 | 67 | 59 | 68 | 66 | 72 | 67 | 75 | 77 | 0 | 78 | 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 | 30 | 4,250,000$/9yrs |
![]() | 0 | 100.00 | 81 | 76 | 77 | 66 | 76 | 80 | 81 | 81 | 82 | 81 | 59 | 67 | 1 | 0 | 75 | 79 | 21 | 840,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 95.00 | 81 | 86 | 77 | 80 | 81 | 75 | 82 | 84 | 83 | 84 | 82 | 71 | 75 | 0 | 75 | 85 | 28 | 1,200,000$/1yrs |
TEAM AVERAGE | 98.33 | 84 | 86 | 80 | 73 | 82 | 79 | 84 | 85 | 85 | 85 | 77 | 71 | 52 | 0 | 62 | 85 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 90 | 93 | 95 | 87 | 93 | 84 | 83 | CAN | 58 | 5 | 1,000,000$ |
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 | 80 | 43 | 62 | 105 | 32 | 40 | 0 | 112 | 415 | 114 | 300 | 10.36% | 5 | 21.88 | 7 | 12 | 19 | 289 | 0 | 0 | 0 | 1 | 7 | 6 | 49.38% | 162 | 0 | 0 | 1 | 2 | 1.20 | 3 | 7 | |
2 | Tomas Hertl | 0 | C/LW | 80 | 28 | 49 | 77 | 29 | 77 | 15 | 157 | 239 | 57 | 155 | 11.72% | 14 | 21.24 | 5 | 10 | 15 | 283 | 0 | 0 | 0 | 4 | 4 | 3 | 54.64% | 2176 | 0 | 0 | 0 | 1 | 0.91 | 0 | 4 | |
3 | Jordan Kyrou | 0 | LW/RW | 82 | 27 | 37 | 64 | 17 | 8 | 0 | 37 | 257 | 74 | 169 | 10.51% | 9 | 19.54 | 10 | 13 | 23 | 294 | 0 | 0 | 0 | 6 | 3 | 1 | 43.18% | 132 | 0 | 0 | 0 | 0 | 0.80 | 3 | 6 | |
4 | William Karlsson | 0 | C | 80 | 25 | 36 | 61 | 5 | 8 | 0 | 41 | 277 | 84 | 210 | 9.03% | 16 | 17.63 | 11 | 12 | 23 | 257 | 0 | 0 | 0 | 6 | 3 | 2 | 55.60% | 1795 | 0 | 0 | 0 | 0 | 0.87 | 1 | 3 | |
5 | Blake Coleman | 0 | LW/RW | 80 | 27 | 27 | 54 | 5 | 74 | 0 | 184 | 311 | 82 | 214 | 8.68% | 12 | 16.93 | 10 | 11 | 21 | 257 | 0 | 0 | 0 | 9 | 3 | 2 | 46.15% | 104 | 0 | 0 | 0 | 1 | 0.80 | 1 | 2 | |
6 | Jared Spurgeon | 0 | D | 79 | 14 | 40 | 54 | -12 | 18 | 0 | 52 | 160 | 57 | 106 | 8.75% | 142 | 23.97 | 9 | 14 | 23 | 301 | 0 | 0 | 0 | 210 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
7 | John Marino | 6 | D | 80 | 6 | 32 | 38 | 8 | 52 | 0 | 116 | 89 | 38 | 66 | 6.74% | 88 | 21.16 | 2 | 9 | 11 | 265 | 0 | 1 | 1 | 196 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
8 | Casey Mittelstadt | 0 | C/LW/RW | 80 | 14 | 23 | 37 | 0 | 6 | 0 | 35 | 165 | 60 | 126 | 8.48% | 8 | 17.61 | 4 | 8 | 12 | 257 | 0 | 0 | 0 | 50 | 2 | 0 | 54.23% | 142 | 0 | 0 | 0 | 0 | 0.53 | 0 | 2 | |
9 | Brett Pesce | 0 | D | 80 | 8 | 19 | 27 | 1 | 53 | 5 | 86 | 93 | 35 | 59 | 8.60% | 107 | 21.86 | 2 | 5 | 7 | 262 | 1 | 0 | 1 | 281 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
10 | Oliver Ekman-Larsson | 0 | D | 79 | 4 | 21 | 25 | 28 | 64 | 0 | 111 | 60 | 23 | 45 | 6.67% | 69 | 22.43 | 3 | 4 | 7 | 275 | 0 | 0 | 0 | 49 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
11 | Tyler Motte | 0 | C/LW/RW | 80 | 11 | 11 | 22 | 4 | 6 | 0 | 10 | 58 | 15 | 46 | 18.97% | 16 | 8.76 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 318 | 1 | 1 | 51.31% | 497 | 0 | 0 | 1 | 0 | 0.63 | 0 | 0 | |
12 | Adam Lowry | 0 | C | 80 | 12 | 9 | 21 | -4 | 95 | 15 | 139 | 102 | 29 | 98 | 11.76% | 12 | 13.41 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 286 | 2 | 1 | 57.22% | 921 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
13 | Sebastien Aho | 0 | D | 80 | 3 | 18 | 21 | 6 | 2 | 0 | 19 | 52 | 23 | 29 | 5.77% | 83 | 17.05 | 0 | 1 | 1 | 21 | 0 | 0 | 0 | 284 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
14 | Garnet Hathaway | 0 | LW/RW | 80 | 8 | 12 | 20 | 5 | 47 | 5 | 77 | 58 | 15 | 44 | 13.79% | 6 | 7.30 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 197 | 3 | 0 | 42.86% | 42 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
15 | Kaapo Kakko | 0 | RW | 80 | 4 | 15 | 19 | -2 | 8 | 0 | 9 | 92 | 28 | 81 | 4.35% | 5 | 9.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 47.83% | 46 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
16 | Curtis Lazar | 0 | C/RW | 80 | 5 | 7 | 12 | 6 | 8 | 0 | 18 | 55 | 20 | 48 | 9.09% | 10 | 7.38 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 210 | 1 | 0 | 50.51% | 293 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
17 | Jeremy Lauzon | 0 | D | 80 | 3 | 6 | 9 | 8 | 116 | 10 | 185 | 32 | 6 | 25 | 9.38% | 85 | 14.43 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 232 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
18 | Joel Kiviranta | 0 | LW/RW | 25 | 0 | 0 | 0 | -8 | 6 | 0 | 15 | 22 | 11 | 10 | 0.00% | 1 | 9.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.75% | 16 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1385 | 242 | 424 | 666 | 128 | 688 | 50 | 1403 | 2537 | 771 | 1831 | 9.54% | 688 | 16.47 | 63 | 99 | 162 | 2785 | 3 | 3 | 6 | 2347 | 34 | 17 | 54.16% | 6326 | 0 | 0 | 2 | 4 | 0.58 | 8 | 24 |
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 | 50 | 21 | 18 | 4 | 0.888 | 3.23 | 2561 | 6 | 1 | 138 | 1232 | 0 | 1 | 1 | 0.786 | 14 | 47 | 33 | 1 | 1 | 3 | |
2 | Connor Ingram | 40 | 20 | 12 | 2 | 0.923 | 2.45 | 2086 | 6 | 1 | 85 | 1101 | 0 | 0 | 0 | 0.813 | 16 | 30 | 50 | 5 | 0 | 1 | |
Team Total or Average | 90 | 41 | 30 | 6 | 0.904 | 2.88 | 4648 | 12 | 2 | 223 | 2333 | 0 | 1 | 1 | 0.800 | 30 | 77 | 83 | 6 | 1 | 4 |
Projected Total Cap Hit | 85,832,535$ |
Projected Cap Space | 2,167,465$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 84,556,923$ |
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 | |
Carl Lindbom ![]() | G | 21 | 840,000$ | 840,000$ | 840,000$ | RFA | |||||
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 | ||||||
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 | 30 | 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 | 26 | 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 | |||||
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$ | ![]() | |||||
Guillaume Brisebois ![]() | D | 27 | 775,000$ | 775,000$ | ![]() | ||||||
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 | 25 | 867,500$ | 867,500$ | ![]() | ||||||
Nathan Smith ![]() | C | 26 | 820,000$ | 820,000$ | ![]() | ||||||
Pavel Novak ![]() | RW | 23 | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 50 | 36 | 45 | 13 | 24 | 12 | 66.7% | 13.6% | 94.0% | 107.7 | LUCKY | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 51 | 13 | 11 | 27 | 0 | 83 | 19 | 29 | 49 | 8 | 3 | 37.50% | 12 | 3 | 75.00% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 39 | 23 | 55 | 16 | 25 | 11 | 25.0% | 9.8% | 89.2% | 99.0 | FUN | |
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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 73 | 52 | 70 | 21 | 36 | 18 | 68.8% | 10.7% | 92.6% | 103.3 | LUCKY | |
4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 13 | 2 | 4 | 0.500 | 15 | 27 | 42 | 0 | 0 | 4 | 7 | 4 | 0 | 142 | 37 | 61 | 44 | 0 | 139 | 35 | 34 | 77 | 11 | 3 | 27.27% | 17 | 5 | 70.59% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 101 | 74 | 90 | 28 | 48 | 22 | 60.0% | 10.6% | 90.6% | 101.2 | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 74 | 51 | 69 | 23 | 39 | 20 | 75.0% | 10.8% | 94.1% | 105.0 | LUCKY | |
6 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 11 | 12 | -1 | 4 | 0.667 | 11 | 18 | 29 | 0 | 0 | 7 | 1 | 2 | 1 | 129 | 46 | 36 | 43 | 6 | 100 | 29 | 26 | 53 | 18 | 3 | 16.67% | 13 | 4 | 69.23% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 78 | 55 | 69 | 21 | 36 | 19 | 50.0% | 8.5% | 88.0% | 96.5 | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 92 | 64 | 99 | 29 | 51 | 24 | 55.6% | 11.5% | 91.5% | 103.0 | LUCKY | |
11 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 10 | -1 | 3 | 0.500 | 9 | 15 | 24 | 0 | 0 | 2 | 4 | 3 | 1 | 78 | 23 | 25 | 28 | 9 | 92 | 34 | 53 | 74 | 8 | 2 | 25.00% | 18 | 1 | 94.44% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 71 | 49 | 75 | 22 | 38 | 17 | 43.8% | 11.5% | 89.1% | 100.7 | FUN | |
12 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 66 | 20 | 22 | 24 | 0 | 63 | 20 | 23 | 36 | 12 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 53 | 38 | 42 | 14 | 24 | 12 | 33.3% | 3.0% | 92.1% | 95.1 | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 55 | 39 | 38 | 14 | 25 | 13 | 41.7% | 8.4% | 85.7% | 94.1 | Unlucky | |
16 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 2 | 2 | 6 | 1 | 101 | 28 | 24 | 46 | 3 | 83 | 24 | 20 | 69 | 18 | 5 | 27.78% | 9 | 2 | 77.78% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 77 | 54 | 66 | 21 | 38 | 19 | 50.0% | 10.9% | 90.4% | 101.3 | FUN | |
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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 51 | 35 | 50 | 14 | 27 | 14 | 50.0% | 6.2% | 93.0% | 99.1 | DULL | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 70 | 16 | 18 | 36 | 0 | 69 | 18 | 20 | 42 | 12 | 2 | 16.67% | 9 | 1 | 88.89% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 46 | 31 | 46 | 15 | 26 | 13 | 44.4% | 8.6% | 91.3% | 99.9 | DULL | |
20 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 14 | 0 | 4 | 0.500 | 14 | 27 | 41 | 0 | 0 | 5 | 2 | 7 | 0 | 130 | 36 | 52 | 42 | 0 | 124 | 34 | 24 | 85 | 13 | 1 | 7.69% | 12 | 2 | 83.33% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 98 | 68 | 93 | 28 | 48 | 23 | 52.0% | 10.8% | 88.7% | 99.5 | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 45 | 30 | 49 | 15 | 25 | 12 | 50.0% | 7.8% | 92.6% | 100.5 | DULL | |
22 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 15 | 9 | 6 | 6 | 0.750 | 15 | 26 | 41 | 0 | 1 | 5 | 5 | 4 | 1 | 137 | 52 | 45 | 40 | 3 | 123 | 30 | 32 | 74 | 22 | 3 | 13.64% | 14 | 1 | 92.86% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 105 | 74 | 88 | 30 | 50 | 26 | 60.0% | 10.9% | 92.7% | 103.6 | LUCKY | |
23 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 14 | 22 | 0 | 0 | 3 | 3 | 1 | 1 | 93 | 35 | 21 | 35 | 2 | 94 | 30 | 15 | 54 | 14 | 2 | 14.29% | 5 | 1 | 80.00% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 74 | 52 | 69 | 23 | 39 | 20 | 46.2% | 8.6% | 91.5% | 100.1 | DULL | |
24 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 1 | 1 | 58 | 14 | 27 | 15 | 2 | 57 | 16 | 16 | 35 | 10 | 2 | 20.00% | 7 | 0 | 100.00% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 54 | 38 | 45 | 14 | 24 | 12 | 50.0% | 10.3% | 93.0% | 103.3 | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 45 | 30 | 47 | 15 | 27 | 13 | 62.5% | 8.1% | 91.2% | 99.3 | DULL | |
28 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 8 | -1 | 3 | 0.500 | 7 | 13 | 20 | 0 | 0 | 0 | 2 | 5 | 0 | 99 | 23 | 36 | 40 | 0 | 77 | 20 | 36 | 48 | 12 | 1 | 8.33% | 11 | 3 | 72.73% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 73 | 50 | 69 | 23 | 37 | 18 | 54.5% | 7.1% | 89.6% | 96.7 | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 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 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 54 | 39 | 41 | 13 | 24 | 12 | 50.0% | 4.8% | 93.0% | 97.8 | DULL | |
_Vs Division | 25 | 10 | 11 | 0 | 2 | 0 | 2 | 0 | 91 | 76 | 15 | 28 | 0.560 | 91 | 162 | 253 | 0 | 1 | 27 | 32 | 28 | 5 | 828 | 243 | 291 | 287 | 14 | 773 | 191 | 188 | 508 | 89 | 17 | 19.10% | 89 | 17 | 80.90% | 0 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 618 | 435 | 578 | 182 | 317 | 157 | 55.6% | 11.0% | 90.2% | 101.2 | FUN | |
_Vs Conference | 48 | 20 | 19 | 0 | 3 | 2 | 3 | 1 | 167 | 142 | 25 | 55 | 0.573 | 167 | 300 | 467 | 0 | 2 | 59 | 51 | 51 | 8 | 1608 | 514 | 506 | 572 | 32 | 1482 | 399 | 450 | 956 | 186 | 33 | 17.74% | 196 | 35 | 82.14% | 1 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 1181 | 821 | 1121 | 356 | 610 | 304 | 55.6% | 10.4% | 90.4% | 100.8 | FUN | |
_Since Last GM Reset | 80 | 35 | 29 | 0 | 6 | 3 | 5 | 2 | 261 | 219 | 42 | 97 | 0.606 | 261 | 464 | 725 | 0 | 3 | 96 | 74 | 80 | 15 | 2678 | 876 | 849 | 925 | 55 | 2423 | 684 | 778 | 1556 | 320 | 54 | 16.88% | 332 | 54 | 83.73% | 3 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 1990 | 1390 | 1851 | 594 | 1016 | 511 | 55.6% | 9.7% | 91.0% | 100.7 | FUN | |
Total | 80 | 35 | 29 | 0 | 6 | 3 | 5 | 2 | 261 | 219 | 42 | 97 | 0.606 | 261 | 464 | 725 | 0 | 3 | 96 | 74 | 80 | 15 | 2678 | 876 | 849 | 925 | 55 | 2423 | 684 | 778 | 1556 | 320 | 54 | 16.88% | 332 | 54 | 83.73% | 3 | 1611 | 2962 | 54.39% | 1528 | 2785 | 54.87% | 700 | 1297 | 53.97% | 1990 | 1390 | 1851 | 594 | 1016 | 511 | 55.6% | 9.7% | 91.0% | 100.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2962 |
Neutral Zone Start | 1297 |
Defensive Zone Start | 2785 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3839 |
Faceoffs Lost | 3205 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 21.6 | 20.31 |
3rd Period | 33.1 | 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 | 2.1 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 204 |
---|---|
PP Goal | 54 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 29 | 17 |
Lost | 9 | 20 |
Overtime Lost | 1 | 4 |
PP Attempt | 320 |
---|---|
PP Goal | 54 |
PK Attempt | 332 |
PK Goal Against | 54 |
Home | |
---|---|
Shots For | 33.5 |
Shots Against | 30.3 |
Goals For | 3.3 |
Goals Against | 2.7 |
Hits | 19.5 |
Shots Blocked | 8.6 |
Pim | 9.7 |
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 | @ | Sabres3,Bruins1 | RECAP | |||||||||||
2025-03-22 | @ | Sabres5,Hockey Club2 | RECAP | |||||||||||
2025-03-24 | @ | Sabres1,Wild3 | RECAP | |||||||||||
2025-03-25 | @ | Sabres2,Jets1 | RECAP | |||||||||||
2025-03-27 | @ | Senators5,Sabres6 | RECAP | |||||||||||
2025-03-29 | @ | Penguins1,Sabres2 | RECAP | |||||||||||
2025-03-31 | @ | Sabres4,Flyers5 | RECAP | |||||||||||
2025-04-01 | @ | Sabres2,Capitals3 | RECAP | |||||||||||
2025-04-03 | @ | Sabres0,Senators1 | RECAP | |||||||||||
2025-04-07 | @ | Lightning2,Sabres5 | RECAP | |||||||||||
2025-04-08 | @ | Bruins3,Sabres2 | RECAP | |||||||||||
2025-04-10 | @ | Hurricanes3,Sabres4 | RECAP | |||||||||||
2025-04-12 | @ | Sabres2,Blue Jackets5 | RECAP | |||||||||||
2025-04-14 | @ | Sabres3,Panthers2 (SO) | RECAP | |||||||||||
2025-04-15 | @ | Sabres3,Lightning4 | RECAP | |||||||||||
2025-04-17 | @ | |||||||||||||
2025-04-19 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,340,000$ | 0$ | 85,832,535$ | 4,660,000$ |
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 | 221979 | 185778 | 74793 | 149394 | 37743 |
Attendance PCT | 94.86% | 95.27% | 95.89% | 95.77% | 96.78% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
2 | 17171 - 95.40% | 1,574,859$ | 61,419,520$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,340,000$ | 83,340,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
85,541,609$ | 425,204$ | 84,556,923$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
3,149,719$ | 3 | 430,306$ | 1,290,918$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,290,918$ | 83,340,000$ | 33,509,512$ | 35,368,313$ |
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 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
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 |
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. |
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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 |
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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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