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Full Scoreboard »» |
New York Rangers 33-30-8, 74pts · 9th 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 | 98.00 | 61 | 32 | 85 | 84 | 70 | 88 | 76 | 75 | 75 | 80 | 76 | 61 | 76 | 57 | 55 | 0 | 60 | 84 | 19 | 950,000$/2yrs | |||
![]() | 0 | RW | 98.00 | 56 | 32 | 89 | 76 | 72 | 87 | 88 | 75 | 59 | 76 | 74 | 58 | 74 | 70 | 76 | 0 | 40 | 82 | 27 | 7,000,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 72 | 34 | 79 | 68 | 77 | 83 | 90 | 72 | 59 | 72 | 72 | 59 | 72 | 86 | 93 | 0 | 51 | 81 | 36 | 7,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 32 | 84 | 73 | 66 | 84 | 90 | 70 | 79 | 75 | 72 | 66 | 71 | 59 | 58 | 0 | 44 | 80 | 20 | 950,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 63 | 32 | 93 | 73 | 70 | 87 | 90 | 67 | 59 | 75 | 66 | 67 | 67 | 62 | 61 | 0 | 57 | 79 | 22 | 894,167$/1yrs | |||
![]() | 0 | LW | 100.00 | 74 | 38 | 82 | 62 | 85 | 79 | 73 | 66 | 58 | 71 | 63 | 58 | 65 | 85 | 83 | 0 | 49 | 77 | 36 | 5,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 35 | 92 | 69 | 74 | 79 | 81 | 68 | 59 | 69 | 70 | 60 | 69 | 63 | 62 | 0 | 62 | 77 | 23 | 863,333$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 32 | 88 | 63 | 66 | 78 | 89 | 66 | 59 | 67 | 67 | 55 | 66 | 82 | 81 | 0 | 36 | 76 | 34 | 2,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 66 | 32 | 92 | 63 | 70 | 81 | 87 | 64 | 60 | 65 | 65 | 61 | 65 | 70 | 69 | 0 | 49 | 75 | 27 | 1,300,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 32 | 91 | 60 | 67 | 78 | 87 | 63 | 60 | 65 | 63 | 69 | 63 | 79 | 78 | 0 | 62 | 75 | 32 | 2,700,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 55 | 32 | 96 | 63 | 71 | 78 | 90 | 59 | 30 | 66 | 62 | 70 | 61 | 77 | 77 | 0 | 88 | 74 | 31 | 1,100,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 33 | 94 | 57 | 79 | 79 | 90 | 60 | 84 | 63 | 60 | 73 | 60 | 75 | 74 | 0 | 57 | 74 | 30 | 3,250,000$/3yrs | |||
![]() | 0 | D | 96.00 | 85 | 46 | 69 | 63 | 82 | 91 | 88 | 67 | 30 | 67 | 59 | 85 | 63 | 76 | 88 | 0 | 61 | 82 | 31 | 8,000,000$/2yrs | |||
![]() | 0 | D | 99.00 | 83 | 35 | 83 | 61 | 84 | 90 | 86 | 66 | 30 | 71 | 58 | 77 | 62 | 87 | 86 | 0 | 27 | 82 | 37 | 6,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 33 | 85 | 67 | 75 | 88 | 85 | 64 | 30 | 74 | 63 | 61 | 63 | 81 | 79 | 0 | 55 | 80 | 33 | 5,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 39 | 67 | 68 | 70 | 88 | 81 | 62 | 30 | 72 | 65 | 62 | 63 | 73 | 70 | 0 | 28 | 79 | 29 | 4,700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 33 | 99 | 60 | 79 | 79 | 65 | 61 | 30 | 68 | 50 | 63 | 55 | 77 | 77 | 0 | 42 | 75 | 31 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 32 | 83 | 60 | 70 | 83 | 88 | 59 | 30 | 64 | 55 | 70 | 57 | 66 | 65 | 0 | 47 | 74 | 25 | 2,250,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 61 | 33 | 79 | 68 | 82 | 85 | 87 | 65 | 82 | 73 | 64 | 68 | 64 | 79 | 77 | 0 | 19 | 78 | 32 | 7,800,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 58 | 32 | 92 | 66 | 67 | 80 | 79 | 61 | 72 | 64 | 63 | 60 | 62 | 62 | 61 | 0 | 21 | 73 | 22 | 1,200,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 47 | 76 | 55 | 89 | 82 | 90 | 59 | 30 | 60 | 52 | 77 | 56 | 72 | 70 | 0 | 20 | 74 | 28 | 1,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 36 | 93 | 55 | 84 | 82 | 90 | 57 | 30 | 62 | 58 | 68 | 58 | 63 | 62 | 0 | 20 | 73 | 23 | 2,250,000$/3yrs | |||
TEAM AVERAGE | 99.59 | 66 | 35 | 86 | 65 | 75 | 83 | 85 | 65 | 52 | 69 | 64 | 66 | 64 | 73 | 73 | 0 | 45 | 77 |
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 | 87 | 95 | 83 | 91 | 89 | 81 | 89 | 92 | 86 | 93 | 89 | 69 | 73 | 0 | 36 | 91 | 26 | 5,000,000$/9yrs |
![]() | 0 | 100.00 | 72 | 70 | 69 | 73 | 73 | 74 | 72 | 72 | 74 | 74 | 73 | 60 | 60 | 0 | 47 | 76 | 23 | 858,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 80 | 83 | 76 | 82 | 81 | 78 | 81 | 82 | 80 | 84 | 81 | 65 | 67 | 0 | 42 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rod Brind'amour | 71 | 96 | 91 | 93 | 74 | 69 | 94 | CAN | 52 | 5 | 1,000,000$ |
General Manager | Steven St-Onge |
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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 | Jack Quinn | 0 | LW/RW | 71 | 21 | 36 | 57 | 8 | 20 | 0 | 54 | 202 | 54 | 145 | 10.40% | 11 | 16.95 | 6 | 10 | 16 | 189 | 0 | 0 | 0 | 28 | 2 | 1 | 50.00% | 114 | 0 | 0 | 0 | 0 | 0.95 | 2 | 5 | |
2 | Jacob Trouba | 0 | D | 71 | 11 | 41 | 52 | -8 | 122 | 10 | 250 | 131 | 53 | 104 | 8.40% | 156 | 24.92 | 5 | 10 | 15 | 241 | 0 | 0 | 0 | 203 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
3 | William Eklund | 0 | C/LW | 71 | 22 | 25 | 47 | -7 | 22 | 0 | 67 | 223 | 68 | 175 | 9.87% | 14 | 20.00 | 9 | 7 | 16 | 246 | 0 | 0 | 0 | 59 | 3 | 1 | 39.69% | 383 | 0 | 0 | 0 | 2 | 0.66 | 0 | 3 | |
4 | Connor Bedard | 0 | C | 71 | 23 | 19 | 42 | -9 | 22 | 0 | 110 | 220 | 60 | 154 | 10.45% | 10 | 21.03 | 2 | 7 | 9 | 185 | 0 | 0 | 0 | 104 | 3 | 1 | 45.42% | 2021 | 0 | 0 | 0 | 1 | 0.56 | 3 | 5 | |
5 | Logan Cooley | 0 | C | 71 | 19 | 23 | 42 | 17 | 14 | 0 | 47 | 175 | 44 | 118 | 10.86% | 7 | 17.77 | 2 | 6 | 8 | 178 | 0 | 0 | 0 | 99 | 5 | 1 | 45.91% | 1344 | 0 | 0 | 0 | 0 | 0.67 | 1 | 1 | |
6 | Jeff Petry | 0 | D | 71 | 6 | 31 | 37 | -21 | 58 | 0 | 81 | 84 | 24 | 55 | 7.14% | 111 | 24.14 | 4 | 9 | 13 | 178 | 0 | 1 | 1 | 239 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
7 | Troy Terry | 0 | RW | 71 | 10 | 26 | 36 | -17 | 16 | 0 | 44 | 208 | 59 | 147 | 4.81% | 19 | 20.76 | 3 | 9 | 12 | 255 | 0 | 0 | 0 | 121 | 0 | 0 | 41.20% | 250 | 0 | 0 | 0 | 0 | 0.49 | 0 | 3 | |
8 | David Perron | 0 | LW/RW | 71 | 12 | 23 | 35 | 8 | 44 | 0 | 156 | 187 | 60 | 136 | 6.42% | 6 | 19.26 | 3 | 7 | 10 | 230 | 0 | 0 | 0 | 126 | 4 | 1 | 49.72% | 177 | 0 | 0 | 0 | 0 | 0.51 | 1 | 6 | |
9 | Tyson Barrie | 0 | D | 71 | 2 | 23 | 25 | 9 | 46 | 0 | 81 | 87 | 25 | 51 | 2.30% | 97 | 21.44 | 1 | 4 | 5 | 204 | 0 | 1 | 1 | 192 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
10 | Max Pacioretty | 0 | LW | 71 | 7 | 13 | 20 | -13 | 34 | 0 | 97 | 97 | 28 | 59 | 7.22% | 5 | 13.54 | 1 | 5 | 6 | 134 | 0 | 0 | 0 | 83 | 1 | 1 | 34.40% | 218 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
11 | Tomas Tatar | 0 | LW/RW | 71 | 8 | 12 | 20 | -12 | 8 | 0 | 40 | 91 | 26 | 61 | 8.79% | 10 | 12.28 | 1 | 3 | 4 | 87 | 0 | 0 | 0 | 39 | 3 | 1 | 31.03% | 58 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
12 | Erik Brannstrom | 0 | D | 69 | 4 | 12 | 16 | -1 | 30 | 0 | 85 | 46 | 16 | 29 | 8.70% | 81 | 16.30 | 0 | 6 | 6 | 98 | 0 | 0 | 0 | 122 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
13 | David Kampf | 0 | C/LW | 71 | 6 | 8 | 14 | -9 | 10 | 0 | 27 | 79 | 21 | 42 | 7.59% | 10 | 9.06 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 121 | 0 | 0 | 51.04% | 815 | 0 | 0 | 0 | 0 | 0.44 | 1 | 1 | |
14 | Tucker Poolman | 0 | D | 55 | 3 | 10 | 13 | -2 | 20 | 0 | 46 | 22 | 11 | 14 | 13.64% | 51 | 15.77 | 1 | 2 | 3 | 21 | 0 | 0 | 0 | 80 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
15 | Lukas Reichel | 0 | C/LW | 33 | 4 | 9 | 13 | -1 | 2 | 0 | 6 | 30 | 5 | 25 | 13.33% | 1 | 10.67 | 3 | 2 | 5 | 76 | 0 | 0 | 0 | 0 | 0 | 1 | 45.64% | 149 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | |
16 | Tony DeAngelo | 0 | D | 25 | 4 | 6 | 10 | 9 | 22 | 0 | 39 | 15 | 10 | 20 | 26.67% | 31 | 20.69 | 2 | 2 | 4 | 73 | 0 | 0 | 0 | 58 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
17 | Vincent Desharnais | 0 | D | 49 | 1 | 9 | 10 | 2 | 57 | 5 | 81 | 21 | 4 | 17 | 4.76% | 37 | 13.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
18 | Conor Sheary | 0 | LW/RW | 71 | 5 | 4 | 9 | -9 | 4 | 0 | 35 | 85 | 21 | 65 | 5.88% | 6 | 7.92 | 1 | 0 | 1 | 6 | 0 | 0 | 0 | 14 | 1 | 0 | 43.90% | 41 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
19 | Anthony Beauvillier | 0 | LW | 71 | 3 | 1 | 4 | -4 | 6 | 0 | 20 | 42 | 7 | 33 | 7.14% | 2 | 7.40 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 77 | 1 | 0 | 41.78% | 146 | 0 | 0 | 0 | 1 | 0.15 | 0 | 0 | |
20 | Braden Schneider | 0 | D | 24 | 0 | 4 | 4 | -7 | 25 | 5 | 41 | 12 | 3 | 10 | 0.00% | 27 | 17.06 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
21 | Connor Brown | 0 | LW/RW | 3 | 1 | 0 | 1 | -1 | 0 | 0 | 2 | 4 | 0 | 5 | 25.00% | 0 | 14.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
Team Total or Average | 1252 | 172 | 335 | 507 | -68 | 582 | 20 | 1409 | 2061 | 599 | 1465 | 8.35% | 692 | 16.57 | 44 | 89 | 133 | 2426 | 0 | 2 | 2 | 1814 | 27 | 10 | 45.33% | 5716 | 0 | 0 | 0 | 4 | 0.49 | 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 | Jake Oettinger | 58 | 24 | 27 | 6 | 0.912 | 2.79 | 3224 | 2 | 3 | 150 | 1709 | 0 | 0 | 3 | 0.800 | 15 | 57 | 14 | 6 | 8 | 1 | |
2 | Jesper Vikman | 4 | 2 | 2 | 0 | 0.888 | 3.26 | 239 | 0 | 0 | 13 | 116 | 0 | 0 | 0 | 0.000 | 0 | 4 | 8 | 0 | 0 | 0 | |
Team Total or Average | 62 | 26 | 29 | 6 | 0.911 | 2.82 | 3463 | 2 | 3 | 163 | 1825 | 0 | 0 | 3 | 0.800 | 15 | 61 | 22 | 6 | 8 | 1 |
Projected Total Cap Hit | 70,752,799$ |
Projected Cap Space | 17,247,201$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 61,595,849$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Rangers Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Beauvillier ![]() | LW | 27 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Braden Schneider ![]() | D | 23 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | |||||
Connor Bedard ![]() | C | 19 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Connor Brown ![]() | LW/RW | 31 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Conor Sheary ![]() | LW/RW | 32 | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
David Kampf ![]() | C/LW | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
David Perron ![]() | LW/RW | 36 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Erik Brannstrom ![]() | D | 25 | 2,250,000$ | 2,250,000$ | 2,250,000$ | ||||||
Evgeny Kuznetsov ![]() | C | 32 | 7,800,000$ | 7,800,000$ | UFA | ||||||
Jack Quinn ![]() | LW/RW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Jacob Trouba ![]() | D | 31 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Jake Oettinger | G | 26 | 5,000,000$ | 5,000,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ | 8,250,000$ |
Jeff Petry ![]() | D | 37 | 6,250,000$ | 6,250,000$ | UFA | ||||||
Jesper Vikman ![]() | G | 23 | 858,000$ | 858,000$ | 858,000$ | RFA | |||||
Logan Cooley ![]() | C | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Lukas Reichel ![]() | C/LW | 22 | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | |||||
Max Pacioretty ![]() | LW | 36 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Tomas Tatar ![]() | LW/RW | 34 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Tony DeAngelo ![]() | D | 29 | 4,700,000$ | 4,700,000$ | UFA | ||||||
Troy Terry ![]() | RW | 27 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||
Tucker Poolman ![]() | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Tyson Barrie ![]() | D | 33 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
Vincent Desharnais ![]() | D | 28 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
William Eklund ![]() | C/LW | 22 | 894,167$ | 894,167$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Turcotte ![]() | C | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Artyom Levshunov ![]() | D | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ben King ![]() | C | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Bobby Trivigno ![]() | LW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Bode Wilde ![]() | D | 25 | 0$ | ![]() | |||||||
Calle Sjalin ![]() | D | 25 | 0$ | ![]() | |||||||
Cedric Pare ![]() | C | 26 | 775,000$ | 775,000$ | ![]() | ||||||
David Gustafsson ![]() | C | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
David Reinbacher ![]() | D | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Denton Mateychuk ![]() | D | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Devin Cooley ![]() | G | 27 | 880,000$ | 880,000$ | UFA | ||||||
Dominik Bokk ![]() | LW/RW | 25 | 0$ | ![]() | |||||||
Eetu Liukas ![]() | LW | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Jayden Grubbe ![]() | C | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Jiri Patera ![]() | G | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Joseph Blandisi ![]() | LW/RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Kevin Korchinski ![]() | D | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Kim Nousiainen ![]() | D | 24 | 859,167$ | 859,167$ | RFA | ||||||
Matthew Maggio ![]() | RW | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Matthew Savoie ![]() | C | 21 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Michael Joyaux ![]() | D | 28 | 0$ | UFA | |||||||
Milos Kelemen ![]() | LW/RW | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Mitchell Russell ![]() | C/RW | 24 | 836,667$ | 836,667$ | RFA | ||||||
Nathan Burke ![]() ![]() | LW/RW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Nikolas Brouillard ![]() | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Nolan Lalonde ![]() | G | 21 | 798,333$ | 798,333$ | RFA | ||||||
Robert Bortuzzo ![]() | D | 36 | 775,000$ | 775,000$ | UFA | ||||||
Ryan Merkley ![]() | D | 24 | 0$ | RFA | |||||||
Ryder Rolston ![]() | C | 23 | 895,000$ | 895,000$ | 895,000$ | RFA | |||||
Steven Lorentz ![]() | C/LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Ville Petman ![]() | C/LW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Wyatt Bongiovanni ![]() | C | 25 | 802,500$ | 802,500$ | ![]() | ||||||
Zach Uens ![]() | D | 23 | 859,167$ | 859,167$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 56 | 19 | 11 | 26 | 0 | 40 | 22 | 11 | 44 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 48 | 32 | 44 | 14 | 27 | 13 | 62.5% | 10.7% | 92.5% | 103.2 | LUCKY | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 50 | 12 | 17 | 21 | 0 | 64 | 12 | 12 | 51 | 10 | 2 | 20.00% | 6 | 2 | 66.67% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 42 | 28 | 51 | 15 | 25 | 12 | 28.6% | 8.0% | 89.1% | 97.1 | Unlucky | |
3 | 3 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 15 | 23 | 0 | 0 | 5 | 0 | 3 | 0 | 100 | 35 | 20 | 44 | 1 | 87 | 37 | 22 | 76 | 16 | 5 | 31.25% | 10 | 0 | 100.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 70 | 48 | 72 | 22 | 38 | 19 | 30.0% | 8.0% | 92.0% | 100.0 | DULL | |
4 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 15 | 9 | 6 | 6 | 1.000 | 15 | 24 | 39 | 0 | 0 | 5 | 7 | 1 | 2 | 132 | 44 | 44 | 42 | 4 | 94 | 28 | 16 | 59 | 11 | 3 | 27.27% | 8 | 6 | 25.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 77 | 56 | 69 | 22 | 39 | 20 | 80.0% | 11.4% | 90.4% | 101.8 | FUN | |
5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 0.333 | 9 | 16 | 25 | 0 | 0 | 8 | 1 | 0 | 0 | 95 | 34 | 35 | 26 | 0 | 114 | 27 | 35 | 57 | 17 | 4 | 23.53% | 15 | 3 | 80.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 66 | 44 | 75 | 23 | 38 | 19 | 38.5% | 9.5% | 90.4% | 99.8 | FUN | |
6 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 8 | 11 | -3 | 2 | 0.333 | 8 | 13 | 21 | 0 | 0 | 2 | 1 | 4 | 1 | 81 | 24 | 26 | 30 | 4 | 121 | 31 | 42 | 58 | 10 | 2 | 20.00% | 20 | 5 | 75.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 69 | 47 | 78 | 21 | 37 | 18 | 50.0% | 9.9% | 90.9% | 100.8 | FUN | |
7 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 | 2 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 4 | 1 | 2 | 0 | 73 | 21 | 29 | 21 | 5 | 48 | 17 | 10 | 44 | 11 | 1 | 9.09% | 4 | 1 | 75.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 51 | 36 | 49 | 14 | 24 | 11 | 60.0% | 9.6% | 89.6% | 99.2 | FUN | |
8 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 14 | 22 | 1 | 0 | 3 | 2 | 2 | 1 | 83 | 24 | 28 | 28 | 3 | 105 | 31 | 30 | 60 | 13 | 2 | 15.38% | 14 | 0 | 100.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 64 | 42 | 81 | 22 | 36 | 17 | 46.2% | 9.6% | 93.3% | 103.0 | LUCKY | |
9 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 7 | 9 | -2 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 2 | 1 | 3 | 2 | 89 | 25 | 27 | 33 | 12 | 89 | 21 | 22 | 67 | 11 | 2 | 18.18% | 10 | 0 | 100.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 73 | 50 | 77 | 22 | 39 | 19 | 35.7% | 7.9% | 89.9% | 97.8 | Unlucky | |
10 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 6 | 1.000 | 10 | 19 | 29 | 0 | 0 | 4 | 3 | 3 | 0 | 86 | 27 | 25 | 34 | 0 | 90 | 35 | 26 | 58 | 15 | 2 | 13.33% | 12 | 2 | 83.33% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 71 | 48 | 69 | 21 | 39 | 20 | 72.7% | 11.6% | 94.4% | 106.1 | LUCKY | |
11 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 25 | 8 | 11 | 6 | 0 | 26 | 12 | 4 | 18 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 24 | 17 | 23 | 6 | 13 | 6 | 40.0% | 8.0% | 88.5% | 96.5 | Unlucky | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 2 | 0 | 3 | 0 | 70 | 21 | 24 | 25 | 0 | 67 | 14 | 14 | 45 | 12 | 2 | 16.67% | 7 | 4 | 42.86% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 50 | 33 | 45 | 14 | 24 | 13 | 33.3% | 7.1% | 85.1% | 92.2 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 25 | 10 | 7 | 8 | 0 | 36 | 11 | 12 | 26 | 2 | 2 | 100.00% | 6 | 1 | 83.33% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 21 | 14 | 25 | 6 | 12 | 5 | 25.0% | 12.0% | 88.9% | 100.9 | FUN | |
14 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 2 | 1 | 0 | 1 | 62 | 15 | 23 | 19 | 7 | 59 | 17 | 22 | 54 | 9 | 2 | 22.22% | 11 | 3 | 72.73% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 53 | 37 | 46 | 15 | 25 | 12 | 40.0% | 6.5% | 89.8% | 96.3 | Unlucky | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 26 | 13 | 10 | 3 | 0 | 29 | 10 | 10 | 15 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 21 | 13 | 26 | 7 | 12 | 6 | 75.0% | 15.4% | 96.6% | 111.9 | LUCKY | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 9 | -8 | 1 | 0.250 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 57 | 22 | 15 | 17 | 6 | 71 | 28 | 18 | 40 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 50 | 34 | 47 | 15 | 26 | 13 | 11.1% | 1.8% | 87.3% | 89.1 | Unlucky | |
17 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 1 | 0 | 1 | 1 | 1 | 2 | 51 | 9 | 23 | 19 | 7 | 68 | 18 | 27 | 50 | 5 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 44 | 29 | 54 | 15 | 25 | 11 | 42.9% | 5.9% | 91.2% | 97.1 | DULL | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 0 | 2 | 0 | 0 | 65 | 21 | 20 | 24 | 0 | 75 | 14 | 24 | 34 | 11 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 44 | 28 | 50 | 15 | 24 | 11 | 33.3% | 3.1% | 93.3% | 96.4 | DULL | |
19 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 78 | 27 | 24 | 27 | 0 | 98 | 32 | 26 | 73 | 8 | 0 | 0.00% | 13 | 5 | 61.54% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 67 | 45 | 74 | 22 | 37 | 17 | 42.9% | 7.7% | 86.7% | 94.4 | Unlucky | |
20 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 3 | 3 | 1 | 0 | 84 | 19 | 42 | 23 | 0 | 89 | 35 | 28 | 65 | 19 | 3 | 15.79% | 14 | 2 | 85.71% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 64 | 41 | 75 | 24 | 40 | 18 | 33.3% | 8.3% | 88.8% | 97.1 | Unlucky | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 12 | 19 | 0 | 1 | 2 | 2 | 3 | 0 | 63 | 21 | 22 | 20 | 0 | 60 | 20 | 8 | 48 | 8 | 1 | 12.50% | 4 | 0 | 100.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 46 | 30 | 45 | 15 | 28 | 14 | 75.0% | 11.1% | 96.7% | 107.8 | LUCKY | |
22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 8 | 4 | 1.000 | 8 | 15 | 23 | 0 | 2 | 2 | 4 | 2 | 0 | 79 | 23 | 24 | 32 | 0 | 54 | 12 | 12 | 50 | 9 | 2 | 22.22% | 4 | 0 | 100.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 52 | 38 | 41 | 14 | 25 | 12 | 100.0% | 10.1% | 100.0% | 110.1 | LUCKY | |
23 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.250 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 2 | 0 | 86 | 21 | 28 | 37 | 0 | 158 | 48 | 34 | 79 | 13 | 0 | 0.00% | 16 | 5 | 68.75% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 89 | 58 | 101 | 30 | 48 | 23 | 54.5% | 7.0% | 93.7% | 100.6 | DULL | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 5 | 3 | 0 | 0 | 68 | 19 | 24 | 25 | 0 | 39 | 18 | 15 | 41 | 8 | 2 | 25.00% | 3 | 0 | 100.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 50 | 35 | 43 | 14 | 26 | 13 | 66.7% | 11.8% | 92.3% | 104.1 | LUCKY | |
25 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 5 | 9 | 0 | 0 | 2 | 2 | 0 | 0 | 49 | 20 | 14 | 14 | 1 | 32 | 9 | 6 | 19 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 25 | 17 | 25 | 7 | 13 | 6 | 28.6% | 8.2% | 84.4% | 92.5 | Unlucky | |
26 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 2 | 1 | 1 | 2 | 57 | 23 | 19 | 15 | 3 | 56 | 15 | 14 | 47 | 9 | 1 | 11.11% | 7 | 1 | 85.71% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 46 | 32 | 53 | 15 | 24 | 12 | 50.0% | 8.8% | 91.1% | 99.8 | Unlucky | |
27 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 4 | 0 | 2 | 0 | 87 | 36 | 25 | 26 | 0 | 100 | 31 | 28 | 63 | 10 | 1 | 10.00% | 14 | 6 | 57.14% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 73 | 52 | 71 | 20 | 34 | 16 | 45.5% | 6.9% | 88.0% | 94.9 | Unlucky | |
28 | 4 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 16 | 11 | 5 | 8 | 1.000 | 16 | 31 | 47 | 0 | 0 | 5 | 5 | 4 | 2 | 124 | 36 | 49 | 34 | 5 | 176 | 47 | 32 | 104 | 12 | 5 | 41.67% | 16 | 2 | 87.50% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 88 | 59 | 106 | 29 | 49 | 24 | 55.0% | 12.9% | 93.8% | 106.7 | LUCKY | |
29 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 22 | 7 | 3 | 12 | 0 | 38 | 8 | 16 | 19 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 20 | 12 | 27 | 8 | 12 | 5 | 40.0% | 9.1% | 89.5% | 98.6 | FUN | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 2 | 0 | 50 | 17 | 28 | 5 | 0 | 61 | 20 | 20 | 44 | 5 | 0 | 0.00% | 9 | 1 | 88.89% | 1 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 43 | 28 | 50 | 17 | 25 | 11 | 57.1% | 8.0% | 93.4% | 101.4 | DULL | |
31 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 51 | 13 | 24 | 14 | 0 | 56 | 14 | 22 | 38 | 8 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 49 | 32 | 43 | 16 | 27 | 13 | 40.0% | 7.8% | 87.5% | 95.3 | Unlucky | |
_Vs Division | 22 | 9 | 8 | 0 | 2 | 2 | 1 | 0 | 61 | 62 | -1 | 26 | 0.591 | 61 | 113 | 174 | 0 | 0 | 27 | 14 | 17 | 3 | 622 | 189 | 200 | 226 | 10 | 810 | 237 | 203 | 483 | 93 | 20 | 21.51% | 95 | 19 | 80.00% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 498 | 335 | 555 | 164 | 278 | 137 | 48.8% | 9.8% | 92.3% | 102.2 | LUCKY | |
_Vs Conference | 43 | 16 | 17 | 0 | 4 | 2 | 3 | 1 | 122 | 123 | -1 | 49 | 0.570 | 122 | 222 | 344 | 1 | 2 | 51 | 35 | 29 | 8 | 1280 | 400 | 424 | 440 | 29 | 1468 | 437 | 375 | 935 | 178 | 34 | 19.10% | 176 | 38 | 78.41% | 0 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 992 | 676 | 1073 | 321 | 543 | 267 | 50.9% | 9.5% | 91.6% | 101.2 | LUCKY | |
_Since Last GM Reset | 71 | 24 | 30 | 0 | 4 | 4 | 5 | 4 | 189 | 204 | -15 | 74 | 0.521 | 189 | 332 | 521 | 3 | 3 | 78 | 56 | 46 | 14 | 2124 | 666 | 721 | 710 | 58 | 2300 | 694 | 618 | 1546 | 290 | 48 | 16.55% | 280 | 55 | 80.36% | 1 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 1664 | 1132 | 1750 | 535 | 904 | 445 | 48.6% | 8.9% | 91.1% | 100.0 | Unlucky | |
Total | 71 | 24 | 30 | 0 | 4 | 4 | 5 | 4 | 189 | 204 | -15 | 74 | 0.521 | 189 | 332 | 521 | 3 | 3 | 78 | 56 | 46 | 14 | 2124 | 666 | 721 | 710 | 58 | 2300 | 694 | 618 | 1546 | 290 | 48 | 16.55% | 280 | 55 | 80.36% | 1 | 1094 | 2433 | 44.97% | 1216 | 2632 | 46.20% | 496 | 1067 | 46.49% | 1664 | 1132 | 1750 | 535 | 904 | 445 | 48.6% | 8.9% | 91.1% | 100.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2433 |
Neutral Zone Start | 1067 |
Defensive Zone Start | 2632 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2806 |
Faceoffs Lost | 3326 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 19.5 | 20.31 |
3rd Period | 29.5 | 30.68 |
Overtime | 30.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 137 |
---|---|
PP Goal | 48 |
PK Goal | 1 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 14 | 19 |
Lost | 19 | 11 |
Overtime Lost | 4 | 4 |
PP Attempt | 290 |
---|---|
PP Goal | 48 |
PK Attempt | 280 |
PK Goal Against | 55 |
Home | |
---|---|
Shots For | 29.9 |
Shots Against | 32.4 |
Goals For | 2.7 |
Goals Against | 2.9 |
Hits | 21.8 |
Shots Blocked | 9.8 |
Pim | 8.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-11 | @ | Rangers5,Penguins4 (OT) | RECAP | |||||||||||
2024-10-14 | @ | Hockey Club3,Rangers1 | RECAP | |||||||||||
2024-10-16 | @ | Red Wings2,Rangers1 | RECAP | |||||||||||
2024-10-19 | @ | Rangers3,Red Wings2 (OT) | RECAP | |||||||||||
2024-10-21 | @ | Rangers3,Maple Leafs4 | RECAP | |||||||||||
2024-10-24 | @ | Rangers3,Canadiens2 (SO) | RECAP | |||||||||||
2024-10-26 | @ | Panthers0,Rangers6 | RECAP | |||||||||||
2024-10-28 | @ | Ducks5,Rangers4 (OT) | RECAP | |||||||||||
2024-10-31 | @ | Rangers4,Capitals2 | RECAP | |||||||||||
2024-11-03 | @ | Senators3,Rangers4 (OT) | RECAP | |||||||||||
2024-11-05 | @ | Islanders4,Rangers6 | RECAP | |||||||||||
2024-11-09 | @ | Sabres3,Rangers1 | RECAP | |||||||||||
2024-11-11 | @ | Rangers4,Red Wings3 | RECAP | |||||||||||
2024-11-14 | @ | Jets2,Rangers5 | RECAP | |||||||||||
2024-11-16 | @ | Sharks4,Rangers2 | RECAP | |||||||||||
2024-11-19 | @ | Rangers2,Kraken4 | RECAP | |||||||||||
2024-11-21 | @ | Rangers2,Canucks6 | RECAP | |||||||||||
2024-11-23 | @ | Rangers2,Flames1 | RECAP | |||||||||||
2024-11-25 | @ | Rangers1,Oilers2 (SO) | RECAP | |||||||||||
2024-11-27 | @ | Blues4,Rangers3 (SO) | RECAP | |||||||||||
2024-11-29 | @ | Rangers4,Hurricanes3 (SO) | RECAP | |||||||||||
2024-12-01 | @ | Rangers0,Flyers4 | RECAP | |||||||||||
2024-12-02 | @ | Canadiens3,Rangers1 | RECAP | |||||||||||
2024-12-04 | @ | Devils2,Rangers1 (OT) | RECAP | |||||||||||
2024-12-08 | @ | Penguins2,Rangers3 (OT) | RECAP | |||||||||||
2024-12-10 | @ | Kraken3,Rangers2 | RECAP | |||||||||||
2024-12-11 | @ | Blackhawks0,Rangers3 | RECAP | |||||||||||
2024-12-13 | @ | Rangers3,Sabres2 | RECAP | |||||||||||
2024-12-16 | @ | Kings4,Rangers3 | RECAP | |||||||||||
2024-12-17 | @ | Rangers0,Blues2 | RECAP | |||||||||||
2024-12-19 | @ | Rangers1,Predators4 | RECAP | |||||||||||
2024-12-22 | @ | Rangers4,Stars3 (SO) | RECAP | |||||||||||
2024-12-24 | @ | Hurricanes4,Rangers3 | RECAP | |||||||||||
2024-12-25 | @ | Rangers4,Devils1 | RECAP | |||||||||||
2024-12-30 | @ | Rangers4,Lightning1 | RECAP | |||||||||||
2025-01-01 | @ | Rangers2,Panthers0 | RECAP | |||||||||||
2025-01-04 | @ | Bruins6,Rangers1 | RECAP | |||||||||||
2025-01-06 | @ | Rangers4,Capitals2 | RECAP | |||||||||||
2025-01-07 | @ | Rangers4,Blackhawks2 | RECAP | |||||||||||
2025-01-09 | @ | Stars2,Rangers1 | RECAP | |||||||||||
2025-01-11 | @ | Devils4,Rangers3 (OT) | RECAP | |||||||||||
2025-01-13 | @ | Rangers1,Golden Knights3 | RECAP | |||||||||||
2025-01-16 | @ | Rangers3,Avalanche4 (SO) | RECAP | |||||||||||
2025-01-18 | @ | Rangers1,Hockey Club2 | RECAP | |||||||||||
2025-01-20 | @ | Blue Jackets4,Rangers1 | RECAP | |||||||||||
2025-01-21 | @ | Rangers3,Canadiens4 (SO) | RECAP | |||||||||||
2025-01-23 | @ | Senators4,Rangers5 (SO) | RECAP | |||||||||||
2025-01-25 | @ | Flyers3,Rangers4 | RECAP | |||||||||||
2025-01-28 | @ | Avalanche1,Rangers4 | RECAP | |||||||||||
2025-01-30 | @ | Hurricanes4,Rangers1 | RECAP | |||||||||||
2025-02-03 | @ | Rangers4,Bruins3 | RECAP | |||||||||||
2025-02-04 | @ | Golden Knights1,Rangers3 | RECAP | |||||||||||
2025-02-07 | @ | Bruins4,Rangers1 | RECAP | |||||||||||
2025-02-09 | @ | Penguins2,Rangers3 | RECAP | |||||||||||
2025-02-10 | @ | Rangers0,Blue Jackets3 | RECAP | |||||||||||
2025-02-24 | @ | Rangers3,Sabres5 | RECAP | |||||||||||
2025-02-25 | @ | Rangers5,Penguins3 | RECAP | |||||||||||
2025-02-27 | @ | Rangers2,Islanders4 | RECAP | |||||||||||
2025-03-02 | @ | Maple Leafs5,Rangers1 | RECAP | |||||||||||
2025-03-04 | @ | Predators2,Rangers3 (SO) | RECAP | |||||||||||
2025-03-05 | @ | Islanders3,Rangers1 | RECAP | |||||||||||
2025-03-07 | @ | Capitals1,Rangers2 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Rangers6,Senators2 | RECAP | |||||||||||
2025-03-11 | @ | Blue Jackets2,Rangers1 | RECAP | |||||||||||
2025-03-13 | @ | Rangers3,Jets1 | RECAP | |||||||||||
2025-03-15 | @ | Rangers2,Wild3 (OT) | RECAP | |||||||||||
2025-03-17 | @ | Rangers4,Blue Jackets1 | RECAP | |||||||||||
2025-03-18 | @ | Oilers7,Rangers0 | RECAP | |||||||||||
2025-03-20 | @ | Flames2,Rangers4 | RECAP | |||||||||||
2025-03-22 | @ | Maple Leafs3,Rangers2 | RECAP | |||||||||||
2025-03-24 | @ | Canucks4,Rangers3 | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
71,790,500$ | 0$ | 70,752,799$ | 16,209,500$ |
Arena | Goal Horn | About us | |
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![]() | Name | Madison Square Garden | |
City | New York | ||
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 | 210741 | 176882 | 70548 | 139813 | 34896 |
Attendance PCT | 94.93% | 95.61% | 95.34% | 94.47% | 94.31% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
4 | 17105 - 95.03% | 1,568,107$ | 58,019,942$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
71,790,500$ | 71,790,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
62,468,291$ | 366,278$ | 61,595,849$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
6,272,426$ | 25 | 371,380$ | 9,284,500$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
9,453,977$ | 71,790,500$ | 95,968,671$ | 92,787,120$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
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Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Anton Johannesson | 2020 | 73 | |||
Anton Olsson | 2021 | 49 | |||
Cole Beaudoin | 2024 | 23 | |||
Eamon Powell | 2020 | 88 | |||
Igor Chibrikov | 2020 | 212 | |||
Jake Fisher | 2024 | 147 | |||
Jeremias Lindewall | |||||
Joe Connor | 2024 | 208 | |||
Joey Muldowney | 2022 | 194 | |||
Lucas Feuk | 2019 | 133 | |||
Mathew Ward | 2022 | 112 | |||
Matteo Costantini | |||||
Max McCue | 2021 | 177 | |||
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 |
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