|
|
|
|
Full Scoreboard »» |
|
|
|
|
Full Scoreboard »» |
New York Rangers 3-4-0, 6pts · 10th 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 | RW | 100.00 | 57 | 32 | 91 | 75 | 67 | 86 | 84 | 73 | 59 | 78 | 76 | 54 | 75 | 87 | 86 | 0 | 40 | 84 | 36 | 3,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 33 | 79 | 76 | 76 | 86 | 90 | 73 | 59 | 74 | 80 | 56 | 76 | 73 | 71 | 0 | 40 | 83 | 29 | 8,500,000$/7yrs | |||
![]() | 0 | C | 100.00 | 64 | 32 | 77 | 82 | 70 | 89 | 88 | 73 | 75 | 79 | 74 | 58 | 74 | 58 | 56 | 0 | 40 | 83 | 20 | 950,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 55 | 32 | 89 | 73 | 72 | 87 | 89 | 71 | 59 | 75 | 72 | 56 | 72 | 71 | 70 | 0 | 40 | 80 | 28 | 7,000,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 62 | 34 | 87 | 74 | 70 | 88 | 89 | 70 | 59 | 75 | 69 | 69 | 69 | 63 | 61 | 0 | 40 | 80 | 23 | 863,333$/4yrs | |||
![]() | 0 | C | 100.00 | 64 | 32 | 86 | 73 | 66 | 84 | 89 | 70 | 77 | 73 | 74 | 60 | 72 | 60 | 58 | 0 | 40 | 80 | 21 | 950,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 32 | 91 | 70 | 74 | 81 | 81 | 67 | 58 | 70 | 70 | 56 | 69 | 64 | 63 | 0 | 40 | 78 | 24 | 3,375,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 62 | 34 | 95 | 63 | 77 | 79 | 90 | 63 | 59 | 63 | 65 | 76 | 64 | 78 | 77 | 0 | 41 | 76 | 31 | 5,500,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 72 | 32 | 94 | 59 | 70 | 78 | 87 | 61 | 61 | 61 | 64 | 61 | 63 | 71 | 71 | 0 | 40 | 73 | 28 | 1,300,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 33 | 91 | 57 | 79 | 77 | 86 | 58 | 82 | 60 | 60 | 72 | 59 | 76 | 75 | 0 | 40 | 73 | 30 | 3,250,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 32 | 90 | 55 | 67 | 74 | 75 | 60 | 58 | 62 | 58 | 63 | 59 | 80 | 79 | 0 | 40 | 71 | 33 | 2,700,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 32 | 93 | 63 | 67 | 77 | 86 | 58 | 73 | 63 | 60 | 58 | 59 | 63 | 62 | 0 | 40 | 71 | 23 | 1,200,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 33 | 75 | 64 | 78 | 96 | 89 | 66 | 30 | 73 | 63 | 78 | 65 | 90 | 87 | 0 | 40 | 83 | 38 | 9,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 33 | 89 | 73 | 78 | 93 | 90 | 67 | 30 | 75 | 63 | 78 | 65 | 73 | 72 | 0 | 40 | 83 | 28 | 8,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 84 | 45 | 67 | 61 | 82 | 91 | 88 | 64 | 30 | 64 | 54 | 85 | 59 | 78 | 83 | 0 | 40 | 79 | 31 | 8,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 36 | 35 | 85 | 57 | 87 | 89 | 90 | 63 | 30 | 65 | 57 | 81 | 60 | 83 | 81 | 0 | 40 | 77 | 34 | 3,650,000$/3yrs | |||
![]() | 0 | D | 100.00 | 69 | 33 | 84 | 68 | 82 | 90 | 68 | 55 | 30 | 70 | 50 | 55 | 52 | 56 | 55 | 0 | 40 | 74 | 19 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 32 | 84 | 57 | 72 | 86 | 72 | 56 | 30 | 63 | 61 | 64 | 58 | 59 | 57 | 0 | 43 | 72 | 21 | 918,333$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 62 | 34 | 82 | 60 | 70 | 83 | 81 | 57 | 30 | 64 | 58 | 68 | 58 | 68 | 66 | 0 | 33 | 74 | 26 | 2,250,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 63 | 33 | 86 | 66 | 74 | 85 | 85 | 64 | 52 | 69 | 65 | 66 | 65 | 71 | 70 | 0 | 40 | 78 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 82 | 91 | 79 | 79 | 85 | 76 | 86 | 93 | 83 | 93 | 86 | 76 | 80 | 0 | 42 | 88 | 30 | 5,500,000$/2yrs |
![]() | 0 | 99.00 | 69 | 61 | 68 | 75 | 71 | 75 | 71 | 69 | 75 | 73 | 72 | 67 | 66 | 0 | 44 | 75 | 24 | 795,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 96.00 | 86 | 95 | 83 | 91 | 90 | 79 | 90 | 95 | 85 | 98 | 90 | 70 | 74 | 0 | 39 | 91 | 26 | 8,250,000$/8yrs |
TEAM AVERAGE | 98.00 | 79 | 82 | 77 | 82 | 82 | 77 | 82 | 86 | 81 | 88 | 83 | 71 | 73 | 0 | 42 | 85 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rod Brind'Amour | 69 | 90 | 87 | 77 | 74 | 90 | 94 | CAN | 53 | 4 | 1,000,000$ |
General Manager | Steven St-Onge |
---|
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 | Thomas Chabot | 0 | D | 7 | 2 | 6 | 8 | -2 | 2 | 0 | 3 | 19 | 4 | 13 | 10.53% | 14 | 25.17 | 1 | 5 | 6 | 26 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | |
2 | Kevin Fiala | 0 | C/LW/RW | 7 | 4 | 2 | 6 | -2 | 0 | 0 | 10 | 24 | 3 | 12 | 16.67% | 1 | 20.19 | 1 | 1 | 2 | 25 | 0 | 0 | 0 | 10 | 1 | 0 | 61.11% | 18 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
3 | Kris Letang | 0 | D | 7 | 1 | 5 | 6 | -2 | 10 | 0 | 18 | 10 | 5 | 6 | 10.00% | 16 | 24.58 | 1 | 2 | 3 | 26 | 0 | 0 | 0 | 14 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
4 | Jack Quinn | 0 | LW/RW | 7 | 3 | 3 | 6 | -2 | 4 | 0 | 5 | 15 | 10 | 10 | 20.00% | 0 | 15.09 | 2 | 2 | 4 | 26 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | |
5 | Connor Bedard | 0 | C | 7 | 2 | 4 | 6 | -2 | 4 | 0 | 13 | 24 | 9 | 17 | 8.33% | 3 | 21.93 | 1 | 2 | 3 | 26 | 0 | 0 | 0 | 22 | 0 | 0 | 43.41% | 182 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | |
6 | Troy Terry | 0 | RW | 7 | 2 | 3 | 5 | -2 | 0 | 0 | 3 | 18 | 9 | 17 | 11.11% | 0 | 18.48 | 2 | 1 | 3 | 22 | 0 | 0 | 0 | 0 | 1 | 0 | 53.85% | 13 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | |
7 | William Eklund | 0 | C/LW | 7 | 2 | 3 | 5 | -1 | 8 | 0 | 4 | 33 | 11 | 23 | 6.06% | 4 | 19.42 | 0 | 3 | 3 | 25 | 0 | 0 | 0 | 8 | 0 | 0 | 42.86% | 28 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | |
8 | Logan Cooley | 0 | C | 7 | 1 | 3 | 4 | 0 | 0 | 0 | 6 | 18 | 6 | 16 | 5.56% | 1 | 17.47 | 1 | 1 | 2 | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 110 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
9 | Brayden McNabb | 0 | D | 7 | 1 | 2 | 3 | -2 | 0 | 0 | 0 | 14 | 1 | 3 | 7.14% | 6 | 22.01 | 1 | 0 | 1 | 25 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
10 | Jacob Trouba | 0 | D | 7 | 0 | 2 | 2 | -2 | 10 | 0 | 29 | 6 | 4 | 3 | 0.00% | 9 | 18.36 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
11 | Alex Iafallo | 0 | C/LW | 7 | 1 | 0 | 1 | -1 | 5 | 5 | 4 | 7 | 6 | 9 | 14.29% | 1 | 11.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 41.89% | 74 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
12 | Patrick Kane | 0 | RW | 7 | 0 | 1 | 1 | -1 | 0 | 0 | 5 | 15 | 5 | 8 | 0.00% | 2 | 19.35 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 26 | 0 | 0 | 29.23% | 65 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | |
13 | Lukas Reichel | 0 | C/LW | 7 | 0 | 1 | 1 | -2 | 0 | 0 | 4 | 1 | 1 | 5 | 0.00% | 0 | 9.36 | 0 | 1 | 1 | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 44 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
14 | Denton Mateychuk | 0 | D | 7 | 0 | 1 | 1 | -2 | 0 | 0 | 3 | 1 | 3 | 2 | 0.00% | 7 | 13.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
15 | Anthony Beauvillier | 0 | LW | 7 | 0 | 0 | 0 | -1 | 0 | 0 | 5 | 5 | 3 | 7 | 0.00% | 2 | 10.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | Conor Sheary | 0 | LW/RW | 7 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 2 | 3 | 7 | 0.00% | 1 | 7.95 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | David Kampf | 0 | C/LW | 7 | 0 | 0 | 0 | -2 | 0 | 0 | 8 | 5 | 0 | 1 | 0.00% | 2 | 6.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.73% | 49 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Artyom Levshunov | 0 | D | 7 | 0 | 0 | 0 | -2 | 4 | 0 | 7 | 1 | 2 | 1 | 0.00% | 4 | 12.73 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 126 | 19 | 36 | 55 | -30 | 47 | 5 | 129 | 218 | 85 | 160 | 8.72% | 73 | 16.35 | 10 | 18 | 28 | 265 | 0 | 0 | 0 | 155 | 3 | 0 | 42.59% | 594 | 0 | 0 | 0 | 0 | 0.53 | 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 | Jake Oettinger | 6 | 2 | 4 | 0 | 0.930 | 2.67 | 359 | 0 | 1 | 16 | 228 | 0 | 0 | 0 | 0.000 | 0 | 6 | 0 | 1 | 0 | 1 | |
2 | Tristan Jarry | 1 | 1 | 0 | 0 | 0.969 | 1.00 | 60 | 0 | 0 | 1 | 32 | 0 | 0 | 0 | 0.000 | 0 | 1 | 6 | 0 | 1 | 0 | |
Team Total or Average | 7 | 3 | 4 | 0 | 0.935 | 2.43 | 419 | 0 | 1 | 17 | 260 | 0 | 0 | 0 | 0.000 | 0 | 7 | 6 | 1 | 1 | 1 |
Projected Total Cap Hit | 84,002,193$ |
Projected Cap Space | 11,497,807$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 5,525,013$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Rangers Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Iafallo ![]() | C/LW | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Anthony Beauvillier ![]() | LW | 28 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Artyom Levshunov ![]() | D | 19 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Brayden McNabb ![]() | D | 34 | 3,650,000$ | 3,650,000$ | 3,650,000$ | 3,650,000$ | UFA | ||||
Connor Bedard ![]() | C | 20 | 950,000$ | 950,000$ | RFA | ||||||
Conor Sheary ![]() | LW/RW | 33 | 2,700,000$ | 2,700,000$ | UFA | ||||||
David Kampf ![]() | C/LW | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Denton Mateychuk ![]() | D | 21 | 918,333$ | 918,333$ | RFA | ||||||
Erik Brannstrom ![]() | D | 26 | 2,250,000$ | 2,250,000$ | |||||||
Gabriel Carriere ![]() | G | 24 | 795,000$ | 795,000$ | RFA | ||||||
Jack Quinn ![]() | LW/RW | 24 | 3,375,000$ | 3,375,000$ | 3,375,000$ | RFA | |||||
Jacob Trouba ![]() | D | 31 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Jake Oettinger | G | 26 | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ |
Kevin Fiala ![]() | C/LW/RW | 29 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA |
Kris Letang ![]() | D | 38 | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||||
Logan Cooley ![]() | C | 21 | 950,000$ | 950,000$ | RFA | ||||||
Lukas Reichel ![]() | C/LW | 23 | 1,200,000$ | 1,200,000$ | RFA | ||||||
Patrick Kane ![]() | RW | 36 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Thomas Chabot ![]() | D | 28 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Tristan Jarry | G | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Troy Terry ![]() | RW | 28 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
William Eklund ![]() | C/LW | 23 | 863,333$ | 863,333$ | 5,600,000$ | 5,600,000$ | 5,600,000$ |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Vincent ![]() | LW/RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Ben King ![]() | C | 23 | 800,000$ | 800,000$ | RFA | ||||||
Bobby Trivigno ![]() | LW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Bode Wilde ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Calle Sjalin ![]() | D | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Cedric Pare ![]() | C | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Damien Carfagna ![]() | D | 22 | 862,500$ | 862,500$ | 862,500$ | RFA | |||||
David Gucciardi ![]() | D | 23 | 855,000$ | 855,000$ | 855,000$ | RFA | |||||
David Gustafsson ![]() | C | 25 | 800,000$ | 800,000$ | ![]() | ||||||
David Reinbacher ![]() | D | 20 | 950,000$ | 950,000$ | RFA | ||||||
Dominik Bokk ![]() | LW/RW | 25 | 0$ | ![]() | |||||||
Eetu Liukas ![]() | LW | 23 | 867,500$ | 867,500$ | RFA | ||||||
Jayden Grubbe ![]() | C | 22 | 867,500$ | 867,500$ | RFA | ||||||
Jesper Vikman ![]() | G | 23 | 858,000$ | 858,000$ | RFA | ||||||
Jiri Patera ![]() | G | 26 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Joe Fleming ![]() | D | 22 | 836,666$ | 836,666$ | RFA | ||||||
Kevin Korchinski ![]() | D | 21 | 918,333$ | 918,333$ | RFA | ||||||
Kim Nousiainen ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Matt Hellickson ![]() | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Matthew Maggio ![]() | RW | 22 | 870,000$ | 870,000$ | RFA | ||||||
Matthew Savoie ![]() | C | 21 | 918,333$ | 918,333$ | RFA | ||||||
Max McCue ![]() | LW | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Milos Kelemen ![]() | LW/RW | 26 | 900,000$ | 900,000$ | ![]() | ||||||
Mitchell Russell ![]() | C/RW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Nathan Burke ![]() | LW/RW | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Nolan Burke ![]() | C | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Nolan Lalonde ![]() | G | 21 | 800,000$ | 800,000$ | RFA | ||||||
Roman Ahcan ![]() | LW | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Ryan Merkley ![]() | D | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Ryder Rolston ![]() | C | 23 | 895,000$ | 895,000$ | RFA | ||||||
Ville Petman ![]() | C/LW | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Wyatt Bongiovanni ![]() | C | 26 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Zach Metsa ![]() | D | 27 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Zach Uens ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 37 | 14 | 14 | 9 | 0 | 32 | 15 | 8 | 15 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 115 | 246 | 46.75% | 99 | 250 | 39.60% | 39 | 98 | 39.80% | 24 | 17 | 23 | 6 | 11 | 5 | 66.7% | 10.8% | 96.9% | 107.7 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 0 | 2 | 1 | 0 | 33 | 20 | 5 | 8 | 0 | 26 | 7 | 6 | 25 | 10 | 2 | 20.00% | 3 | 0 | 100.00% | 0 | 115 | 246 | 46.75% | 99 | 250 | 39.60% | 39 | 98 | 39.80% | 23 | 16 | 25 | 7 | 11 | 5 | 100.0% | 9.1% | 100.0% | 109.1 | LUCKY | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 2 | 4 | 0 | 0 | 30 | 6 | 9 | 15 | 0 | 41 | 14 | 6 | 15 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 115 | 246 | 46.75% | 99 | 250 | 39.60% | 39 | 98 | 39.80% | 22 | 16 | 25 | 7 | 12 | 6 | 57.1% | 20.0% | 92.7% | 112.7 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 24 | 5 | 9 | 10 | 0 | 45 | 10 | 6 | 16 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 115 | 246 | 46.75% | 99 | 250 | 39.60% | 39 | 98 | 39.80% | 23 | 16 | 24 | 7 | 12 | 5 | 0.0% | 8.3% | 93.3% | 101.7 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 7 | 6 | 3 | 0 | 35 | 4 | 4 | 21 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 115 | 246 | 46.75% | 99 | 250 | 39.60% | 39 | 98 | 39.80% | 20 | 12 | 27 | 7 | 12 | 5 | 0.0% | 0.0% | 94.3% | 94.3 | DULL | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 4 | 0 | 0 | 0 | 78 | 28 | 32 | 18 | 0 | 81 | 23 | 17 | 37 | 10 | 2 | 20.00% | 6 | 2 | 66.67% | 0 | 115 | 246 | 46.75% | 99 | 250 | 39.60% | 39 | 98 | 39.80% | 49 | 36 | 46 | 13 | 23 | 12 | 25.0% | 5.1% | 90.1% | 95.3 | Unlucky | |
_Vs Division | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 14 | 21 | 0 | 1 | 4 | 2 | 1 | 0 | 111 | 48 | 37 | 26 | 0 | 107 | 30 | 23 | 62 | 20 | 4 | 20.00% | 9 | 2 | 77.78% | 0 | 115 | 246 | 46.75% | 99 | 250 | 39.60% | 39 | 98 | 39.80% | 73 | 53 | 71 | 21 | 34 | 17 | 33.3% | 6.3% | 92.5% | 98.8 | DULL | |
_Vs Conference | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 4 | 0.333 | 13 | 26 | 39 | 0 | 1 | 7 | 3 | 3 | 0 | 188 | 74 | 66 | 48 | 0 | 219 | 59 | 41 | 114 | 29 | 8 | 27.59% | 18 | 2 | 88.89% | 0 | 115 | 246 | 46.75% | 99 | 250 | 39.60% | 39 | 98 | 39.80% | 141 | 100 | 147 | 42 | 71 | 34 | 29.4% | 6.9% | 93.6% | 100.5 | DULL | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 17 | 2 | 6 | 0.429 | 19 | 36 | 55 | 0 | 1 | 9 | 7 | 3 | 0 | 218 | 80 | 75 | 63 | 0 | 260 | 73 | 47 | 129 | 34 | 10 | 29.41% | 21 | 2 | 90.48% | 0 | 115 | 246 | 46.75% | 99 | 250 | 39.60% | 39 | 98 | 39.80% | 164 | 116 | 172 | 50 | 83 | 40 | 37.5% | 8.7% | 93.5% | 102.2 | DULL | |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 17 | 2 | 6 | 0.429 | 19 | 36 | 55 | 0 | 1 | 9 | 7 | 3 | 0 | 218 | 80 | 75 | 63 | 0 | 260 | 73 | 47 | 129 | 34 | 10 | 29.41% | 21 | 2 | 90.48% | 0 | 115 | 246 | 46.75% | 99 | 250 | 39.60% | 39 | 98 | 39.80% | 164 | 116 | 172 | 50 | 83 | 40 | 37.5% | 8.7% | 93.5% | 102.2 | DULL |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 11 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 246 |
Neutral Zone Start | 98 |
Defensive Zone Start | 250 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 253 |
Faceoffs Lost | 341 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.4 | 9.57 |
2nd Period | 22.1 | 20.31 |
3rd Period | 31.1 | 30.68 |
Overtime | 31.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 9 |
---|---|
PP Goal | 10 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 1 |
Lost | 1 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 34 |
---|---|
PP Goal | 10 |
PK Attempt | 21 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 31.1 |
Shots Against | 37.1 |
Goals For | 2.7 |
Goals Against | 2.4 |
Hits | 18.4 |
Shots Blocked | 10.4 |
Pim | 6.7 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,176,666$ | 0$ | 84,002,193$ | 11,323,334$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Madison Square Garden | |
City | New York | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 17464 | 14344 | 5731 | 10866 | 2768 |
Attendance PCT | 97.02% | 95.63% | 95.52% | 90.55% | 92.27% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 17058 - 94.76% | 1,574,246$ | 4,722,739$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,176,666$ | 84,176,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
5,592,717$ | 438,420$ | 5,525,013$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
59,821,361$ | 179 | 443,628$ | 79,409,412$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
81,986,222$ | 84,176,666$ | 91,767,672$ | 69,602,811$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
---|---|---|---|---|---|---|---|---|
2027 | ||||||||
2028 | ||||||||
2029 | ||||||||
2030 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexis Mathieu | 2025 | 155 | |||
Anton Johannesson | 2020 | 73 | |||
Anton Olsson | 2021 | 49 | |||
Igor Chibrikov | 2020 | 212 | |||
Jake Fisher | 2024 | 147 | |||
Jeremias Lindewall | |||||
Joe Connor | 2024 | 208 | |||
Joey Muldowney | 2022 | 194 | |||
Jordan Charron | 2025 | 170 | |||
Lucas Feuk | 2019 | 133 | |||
Mathew Ward | 2022 | 112 | |||
Matteo Costantini | |||||
Patrick Geary | 2024 | 194 | |||
Ryan McCleary | 2021 | 208 | |||
Shane LaChance | 2021 | 204 | |||
Tanner Henricks | 2024 | 131 | |||
Tyson Jugnauth | 2022 | 115 | |||
William Von Barnekow | 2021 | 190 | |||
Yegor Serdyuk | 2019 | 179 |
|