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Full Scoreboard »» |
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Full Scoreboard »» |
Buffalo Sabres 0-1-0, 0pts · 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 | 99.00 | 62 | 34 | 82 | 95 | 77 | 94 | 90 | 88 | 87 | 97 | 87 | 62 | 87 | 76 | 74 | 0 | 80 | 96 | 29 | 12,600,000$/7yrs | |||
![]() | 0 | C/LW | 98.00 | 71 | 34 | 88 | 74 | 86 | 87 | 85 | 74 | 89 | 72 | 79 | 74 | 77 | 79 | 77 | 0 | 80 | 85 | 31 | 7,750,000$/6yrs | |||
![]() | 0 | LW/RW | 98.00 | 61 | 33 | 91 | 78 | 77 | 86 | 90 | 74 | 58 | 74 | 81 | 57 | 77 | 70 | 69 | 0 | 81 | 84 | 26 | 8,125,000$/7yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 36 | 76 | 71 | 76 | 85 | 90 | 68 | 60 | 68 | 73 | 79 | 71 | 82 | 79 | 0 | 80 | 82 | 33 | 4,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 32 | 92 | 71 | 74 | 85 | 84 | 71 | 88 | 73 | 75 | 74 | 73 | 80 | 79 | 0 | 80 | 82 | 32 | 5,900,000$/3yrs | |||
![]() | 0 | C | 100.00 | 80 | 52 | 81 | 62 | 87 | 82 | 89 | 65 | 87 | 67 | 67 | 81 | 66 | 79 | 85 | 0 | 80 | 79 | 32 | 3,250,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 33 | 88 | 69 | 77 | 85 | 90 | 66 | 82 | 73 | 68 | 56 | 67 | 69 | 68 | 0 | 80 | 78 | 26 | 2,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 97 | 43 | 57 | 55 | 84 | 76 | 88 | 61 | 61 | 60 | 62 | 77 | 61 | 81 | 77 | 0 | 80 | 75 | 33 | 1,975,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 64 | 33 | 84 | 67 | 82 | 80 | 87 | 64 | 61 | 66 | 67 | 55 | 66 | 65 | 63 | 0 | 80 | 75 | 24 | 2,500,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 83 | 37 | 83 | 56 | 78 | 75 | 83 | 60 | 78 | 62 | 59 | 70 | 59 | 76 | 74 | 0 | 80 | 73 | 30 | 1,300,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 32 | 91 | 56 | 71 | 75 | 86 | 59 | 60 | 58 | 64 | 69 | 61 | 74 | 73 | 0 | 68 | 73 | 29 | 800,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 72 | 32 | 90 | 56 | 72 | 75 | 84 | 55 | 73 | 56 | 59 | 79 | 57 | 76 | 75 | 0 | 80 | 72 | 30 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 33 | 72 | 61 | 80 | 89 | 89 | 60 | 30 | 69 | 60 | 66 | 60 | 82 | 90 | 0 | 81 | 78 | 33 | 4,500,000$/3yrs | |||
![]() | 6 | D | 100.00 | 60 | 34 | 86 | 63 | 72 | 91 | 82 | 64 | 30 | 69 | 56 | 75 | 60 | 72 | 70 | 0 | 80 | 78 | 27 | 4,400,000$/4yrs | |||
![]() | 0 | D | 99.00 | 59 | 35 | 88 | 57 | 83 | 91 | 87 | 61 | 30 | 62 | 56 | 79 | 59 | 76 | 75 | 0 | 80 | 76 | 30 | 5,750,000$/6yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 91 | 62 | 69 | 81 | 86 | 67 | 30 | 60 | 52 | 80 | 64 | 69 | 77 | 0 | 80 | 76 | 29 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 99 | 59 | 57 | 55 | 80 | 87 | 82 | 59 | 30 | 57 | 57 | 79 | 58 | 72 | 68 | 0 | 78 | 75 | 28 | 2,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 92.13 | 66 | 31 | 93 | 63 | 63 | 91 | 78 | 65 | 30 | 71 | 60 | 74 | 63 | 85 | 95 | 0 | 45 | 81 | 35 | 7,200,000$/3yrs | |||
TEAM AVERAGE | 99.23 | 71 | 36 | 83 | 65 | 77 | 84 | 86 | 66 | 59 | 67 | 66 | 71 | 66 | 76 | 76 | 0 | 77 | 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 | 99.00 | 81 | 95 | 85 | 72 | 88 | 82 | 89 | 92 | 89 | 92 | 89 | 76 | 80 | 0 | 33 | 90 | 30 | 4,250,000$/9yrs |
![]() | 0 | 99.00 | 75 | 86 | 77 | 80 | 83 | 80 | 85 | 87 | 87 | 88 | 85 | 72 | 77 | 0 | 79 | 86 | 28 | 1,200,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 78 | 91 | 81 | 76 | 86 | 81 | 87 | 90 | 88 | 90 | 87 | 74 | 79 | 0 | 56 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 84 | 84 | 86 | 80 | 92 | 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 | Blake Coleman | 0 | LW/RW | 1 | 1 | 0 | 1 | -1 | 0 | 0 | 3 | 4 | 1 | 5 | 25.00% | 0 | 17.05 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.17 | 0 | 0 | |
2 | Jordan Kyrou | 0 | LW/RW | 1 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 3 | 0 | 4 | 0.00% | 0 | 20.25 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | |
3 | Jared Spurgeon | 0 | D | 1 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 1 | 23.05 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | |
4 | Nathan MacKinnon | 0 | C/RW | 1 | 1 | 0 | 1 | -1 | 0 | 0 | 2 | 2 | 0 | 3 | 50.00% | 0 | 20.25 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | |
5 | William Karlsson | 0 | C | 1 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 16.77 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 68.42% | 19 | 0 | 0 | 0 | 0 | 1.19 | 0 | 0 | |
6 | Sebastien Aho | 0 | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0.00% | 2 | 17.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | |
7 | Adam Lowry | 0 | C | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 1 | 1 | 0.00% | 1 | 14.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 59.09% | 22 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
8 | Casey Mittelstadt | 0 | C/LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 18.73 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
9 | Brett Pesce | 0 | D | 1 | 0 | 0 | 0 | -2 | 2 | 0 | 0 | 3 | 0 | 1 | 0.00% | 0 | 21.48 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
10 | Curtis Lazar | 0 | C/RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 3 | 0.00% | 1 | 7.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
11 | Garnet Hathaway | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 0.00% | 1 | 7.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
12 | Jeremy Lauzon | 0 | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 1 | 0 | 0 | 0.00% | 1 | 18.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
13 | Oliver Ekman-Larsson | 0 | D | 1 | 0 | 0 | 0 | -2 | 2 | 0 | 4 | 2 | 0 | 1 | 0.00% | 0 | 20.75 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
14 | Tomas Hertl | 0 | C/LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 1 | 2 | 4 | 0.00% | 0 | 20.25 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 38.89% | 18 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Tyler Motte | 0 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 1 | 8.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 30.00% | 10 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | Kaapo Kakko | 0 | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 10.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | John Marino | 6 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 1 | 18.17 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Joel Kiviranta | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 10.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 18 | 2 | 4 | 6 | -10 | 8 | 0 | 23 | 26 | 6 | 25 | 7.69% | 10 | 16.22 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 31 | 0 | 0 | 51.25% | 80 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
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 | 1 | 0 | 1 | 0 | 0.400 | 60.00 | 3 | 0 | 0 | 3 | 5 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
2 | Connor Ingram | 1 | 0 | 0 | 0 | 0.966 | 1.07 | 56 | 0 | 0 | 1 | 29 | 0 | 0 | 0 | 0.000 | 0 | 0 | 1 | 0 | 1 | 0 | |
Team Total or Average | 2 | 0 | 1 | 0 | 0.882 | 4.00 | 60 | 0 | 0 | 4 | 34 | 0 | 0 | 0 | 0.000 | 0 | 1 | 1 | 0 | 1 | 0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 19 |
LTIR Players | 1 |
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 | ||||||
Jared Spurgeon ![]() ![]() | D | 35 | 7,200,000$ | 7,200,000$ | 7,200,000$ | 7,200,000$ | UFA | ||||
Jeremy Lauzon ![]() | D | 28 | 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 | |||||
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 | 24 | 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 | |||||
Luca Cagnoni ![]() | D | 20 | 0$ | RFA | |||||||
Mac Hollowell ![]() | D | 26 | 825,000$ | 825,000$ | ![]() | ||||||
Maros Jedlicka ![]() | LW | 22 | 0$ | RFA | |||||||
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 | ||||||
Riley Piercey ![]() | C/LW/RW | 23 | 0$ | 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 | 24 | 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 |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 26 | 6 | 16 | 4 | 0 | 34 | 10 | 8 | 23 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 16 | 28 | 57.14% | 22 | 37 | 59.46% | 3 | 15 | 20.00% | 21 | 14 | 26 | 8 | 12 | 5 | 33.3% | 7.7% | 88.2% | 95.9 | Unlucky | |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 26 | 6 | 16 | 4 | 0 | 34 | 10 | 8 | 23 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 16 | 28 | 57.14% | 22 | 37 | 59.46% | 3 | 15 | 20.00% | 21 | 14 | 26 | 8 | 12 | 5 | 33.3% | 7.7% | 88.2% | 95.9 | Unlucky | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 26 | 6 | 16 | 4 | 0 | 34 | 10 | 8 | 23 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 16 | 28 | 57.14% | 22 | 37 | 59.46% | 3 | 15 | 20.00% | 21 | 14 | 26 | 8 | 12 | 5 | 33.3% | 7.7% | 88.2% | 95.9 | Unlucky | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 26 | 6 | 16 | 4 | 0 | 34 | 10 | 8 | 23 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 16 | 28 | 57.14% | 22 | 37 | 59.46% | 3 | 15 | 20.00% | 21 | 14 | 26 | 8 | 12 | 5 | 33.3% | 7.7% | 88.2% | 95.9 | Unlucky | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 26 | 6 | 16 | 4 | 0 | 34 | 10 | 8 | 23 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 16 | 28 | 57.14% | 22 | 37 | 59.46% | 3 | 15 | 20.00% | 21 | 14 | 26 | 8 | 12 | 5 | 33.3% | 7.7% | 88.2% | 95.9 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 12 |
Defensive Zone | 26 |
Puck Time | |
---|---|
Offensive Zone Start | 28 |
Neutral Zone Start | 15 |
Defensive Zone Start | 37 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 41 |
Faceoffs Lost | 39 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 6.0 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 26.0 | 30.68 |
Overtime | 26.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 2 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 2 |
---|---|
PP Goal | 0 |
PK Attempt | 4 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 26.0 |
Shots Against | 34.0 |
Goals For | 2.0 |
Goals Against | 4.0 |
Hits | 23.0 |
Shots Blocked | 10.0 |
Pim | 8.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-01 | @ | Sabres2,Bruins4 | RECAP | |||||||||||
2025-05-03 | @ | |||||||||||||
2025-05-05 | @ | |||||||||||||
2025-05-07 | @ | |||||||||||||
2025-05-09 | @ | |||||||||||||
2025-05-11 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-05-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,300,000$ | 0$ | 0$ | 12,700,000$ |
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,300,000$ | 75,300,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 75,300,000$ | 35,414,040$ | 35,414,040$ |
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 | ||||||||
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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. |
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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 |
---|---|---|---|---|---|
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 | |||
Lucas Forsell | 2021 | 202 | |||
Mason Langenbrunner | |||||
Michal Gut | 2020 | 206 | |||
Patrick Moynihan | 2019 | 155 | 4.0 - 5.0 | ||
Tnias Mathurin | 2022 | 173 | |||
Tyson Dyck | 2022 | 196 | |||
Zachary Michaelis | 2020 | 194 | |||
Zam Plante | 2022 | 128 |
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