| New York Rangers 24-27-6, 54pts · 13th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor Bedard | 0 | C | 100.00 | 57 | 32 | 69 | 92 | 70 | 88 | 85 | 85 | 80 | 89 | 90 | 55 | 87 | 60 | 56 | 0 | 42 | 91 | 20 | 950,000$/1yrs | |||
Troy Terry | 0 | RW | 100.00 | 50 | 32 | 90 | 81 | 72 | 85 | 90 | 75 | 60 | 83 | 74 | 63 | 75 | 73 | 72 | 0 | 42 | 85 | 28 | 7,000,000$/4yrs | |||
Matt Duchene | 0 | C/LW/RW | 100.00 | 59 | 32 | 94 | 75 | 75 | 83 | 85 | 73 | 82 | 80 | 76 | 54 | 75 | 84 | 84 | 0 | 27 | 84 | 35 | 8,000,000$/1yrs | |||
Trevor Zegras | 0 | C/LW/RW | 100.00 | 59 | 32 | 75 | 80 | 72 | 85 | 90 | 76 | 61 | 78 | 80 | 52 | 78 | 67 | 64 | 0 | 25 | 84 | 24 | 5,750,000$/1yrs | |||
Patrick Kane | 0 | RW | 100.00 | 57 | 32 | 92 | 74 | 67 | 84 | 86 | 71 | 59 | 79 | 73 | 53 | 72 | 88 | 87 | 0 | 42 | 83 | 37 | 3,000,000$/3yrs | |||
Logan Cooley | 0 | C | 100.00 | 70 | 32 | 74 | 79 | 66 | 83 | 83 | 71 | 78 | 69 | 85 | 60 | 78 | 61 | 59 | 0 | 42 | 82 | 21 | 950,000$/9yrs | |||
Kevin Fiala | 0 | C/LW/RW | 100.00 | 64 | 33 | 82 | 74 | 76 | 86 | 90 | 69 | 59 | 69 | 80 | 54 | 75 | 75 | 73 | 0 | 42 | 81 | 29 | 8,500,000$/7yrs | |||
Alex Iafallo | 0 | C/LW | 100.00 | 66 | 35 | 93 | 64 | 77 | 78 | 90 | 63 | 60 | 63 | 66 | 76 | 65 | 79 | 78 | 0 | 40 | 77 | 32 | 5,500,000$/4yrs | |||
Gabe Perreault (R) | 0 | RW | 100.00 | 66 | 32 | 95 | 67 | 69 | 78 | 74 | 61 | 63 | 66 | 67 | 61 | 64 | 59 | 59 | 0 | 58 | 75 | 20 | 941,667$/3yrs | |||
Marco Kasper | 0 | C | 100.00 | 80 | 34 | 82 | 65 | 73 | 79 | 90 | 61 | 78 | 62 | 67 | 63 | 64 | 61 | 59 | 0 | 28 | 74 | 21 | 886,667$/2yrs | |||
Anthony Beauvillier | 0 | LW | 100.00 | 75 | 32 | 91 | 60 | 70 | 77 | 90 | 61 | 60 | 59 | 67 | 60 | 64 | 73 | 72 | 0 | 42 | 73 | 28 | 1,300,000$/1yrs | |||
Keegan Kolesar | 0 | C/LW/RW | 100.00 | 88 | 55 | 78 | 57 | 85 | 76 | 90 | 60 | 59 | 64 | 61 | 63 | 60 | 73 | 71 | 0 | 23 | 73 | 28 | 1,650,000$/3yrs | |||
Thomas Chabot | 0 | D | 100.00 | 64 | 33 | 88 | 72 | 78 | 93 | 87 | 66 | 30 | 75 | 62 | 75 | 64 | 74 | 73 | 0 | 39 | 83 | 29 | 8,000,000$/3yrs | |||
Jacob Trouba | 0 | D | 100.00 | 79 | 38 | 88 | 61 | 82 | 91 | 90 | 64 | 30 | 67 | 67 | 86 | 66 | 79 | 87 | 0 | 43 | 82 | 31 | 8,000,000$/1yrs | |||
Kris Letang | 0 | D | 100.00 | 74 | 33 | 78 | 63 | 78 | 93 | 89 | 61 | 30 | 70 | 61 | 72 | 61 | 91 | 88 | 0 | 30 | 80 | 38 | 9,500,000$/2yrs | |||
Denton Mateychuk (R) | 0 | D | 100.00 | 60 | 32 | 96 | 63 | 72 | 88 | 90 | 61 | 30 | 68 | 68 | 72 | 65 | 61 | 60 | 0 | 46 | 77 | 21 | 918,333$/1yrs | |||
Brayden McNabb | 0 | D | 100.00 | 75 | 34 | 85 | 55 | 87 | 89 | 90 | 59 | 30 | 60 | 58 | 79 | 58 | 84 | 83 | 0 | 42 | 76 | 35 | 3,650,000$/3yrs | |||
Artyom Levshunov (R) | 0 | D | 100.00 | 68 | 33 | 81 | 70 | 82 | 86 | 76 | 57 | 30 | 73 | 53 | 56 | 55 | 58 | 56 | 0 | 42 | 76 | 20 | 975,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Erik Brannstrom | 0 | D | 100.00 | 61 | 41 | 79 | 58 | 70 | 80 | 71 | 53 | 30 | 62 | 62 | 62 | 58 | 69 | 67 | 0 | 20 | 72 | 26 | 2,250,000$/1yrs | |||
| TEAM AVERAGE | 100.00 | 67 | 35 | 85 | 69 | 75 | 84 | 86 | 66 | 53 | 70 | 69 | 64 | 68 | 72 | 71 | 0 | 38 | 79 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jake Oettinger | 0 | 98.00 | 76 | 95 | 81 | 91 | 88 | 82 | 89 | 92 | 91 | 95 | 89 | 71 | 75 | 0 | 40 | 91 | 27 | 8,250,000$/8yrs |
Tristan Jarry | 0 | 100.00 | 73 | 85 | 76 | 79 | 82 | 77 | 83 | 90 | 85 | 89 | 83 | 77 | 81 | 0 | 56 | 86 | 30 | 5,500,000$/2yrs |
| Scratches | ||||||||||||||||||||
Jesper Vikman | 0 | 100.00 | 67 | 60 | 66 | 73 | 68 | 74 | 66 | 67 | 74 | 75 | 69 | 60 | 59 | 0 | 47 | 73 | 23 | 858,000$/1yrs |
| TEAM AVERAGE | 99.33 | 72 | 80 | 74 | 81 | 79 | 78 | 79 | 83 | 83 | 86 | 80 | 69 | 72 | 0 | 48 | 83 | |||
| 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 | 57 | 8 | 40 | 48 | 4 | 40 | 10 | 54 | 107 | 25 | 74 | 7.48% | 89 | 24.76 | 4 | 12 | 16 | 186 | 0 | 1 | 1 | 155 | 1 | 1 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.68 | 0 | 0 | |
| 2 | Connor Bedard | 0 | C | 57 | 17 | 25 | 42 | -4 | 30 | 0 | 110 | 224 | 53 | 152 | 7.59% | 5 | 20.05 | 3 | 7 | 10 | 203 | 0 | 0 | 0 | 28 | 5 | 1 | 49.53% | 1496 | 0 | 0 | 0 | 0 | 0.74 | 2 | 4 | |
| 3 | Kevin Fiala | 0 | C/LW/RW | 57 | 17 | 16 | 33 | 0 | 22 | 0 | 87 | 155 | 39 | 93 | 10.97% | 7 | 19.97 | 2 | 9 | 11 | 194 | 0 | 0 | 0 | 98 | 3 | 2 | 46.50% | 200 | 0 | 0 | 0 | 0 | 0.58 | 1 | 3 | |
| 4 | Trevor Zegras | 0 | C/LW/RW | 58 | 14 | 19 | 33 | -9 | 5 | 5 | 61 | 149 | 38 | 101 | 9.40% | 4 | 17.02 | 4 | 7 | 11 | 184 | 0 | 0 | 0 | 30 | 2 | 0 | 42.09% | 411 | 0 | 0 | 0 | 0 | 0.67 | 0 | 2 | |
| 5 | Troy Terry | 0 | RW | 57 | 15 | 17 | 32 | 1 | 4 | 0 | 25 | 154 | 44 | 124 | 9.74% | 6 | 18.10 | 7 | 5 | 12 | 186 | 0 | 0 | 0 | 1 | 2 | 1 | 44.16% | 77 | 0 | 0 | 1 | 1 | 0.62 | 0 | 1 | |
| 6 | Logan Cooley | 0 | C | 57 | 13 | 19 | 32 | -7 | 16 | 0 | 76 | 177 | 46 | 113 | 7.34% | 6 | 17.55 | 5 | 7 | 12 | 191 | 0 | 0 | 0 | 0 | 1 | 3 | 49.80% | 1012 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
| 7 | Kris Letang | 0 | D | 53 | 5 | 21 | 26 | -12 | 64 | 0 | 145 | 82 | 28 | 44 | 6.10% | 73 | 24.15 | 3 | 7 | 10 | 182 | 0 | 0 | 0 | 117 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 8 | Matt Duchene | 0 | C/LW/RW | 57 | 10 | 16 | 26 | -8 | 14 | 0 | 35 | 162 | 46 | 110 | 6.17% | 10 | 18.19 | 3 | 4 | 7 | 189 | 0 | 0 | 0 | 48 | 1 | 0 | 49.30% | 71 | 0 | 0 | 0 | 0 | 0.50 | 0 | 3 | |
| 9 | Patrick Kane | 0 | RW | 57 | 10 | 15 | 25 | -11 | 6 | 0 | 27 | 156 | 58 | 105 | 6.41% | 5 | 17.38 | 6 | 4 | 10 | 170 | 0 | 0 | 0 | 32 | 1 | 0 | 33.85% | 130 | 0 | 0 | 0 | 0 | 0.50 | 3 | 4 | |
| 10 | Jacob Trouba | 0 | D | 57 | 4 | 17 | 21 | -9 | 85 | 5 | 177 | 38 | 14 | 32 | 10.53% | 84 | 19.74 | 0 | 1 | 1 | 13 | 0 | 0 | 0 | 120 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 11 | Alex Iafallo | 0 | C/LW | 57 | 7 | 6 | 13 | -8 | 12 | 10 | 21 | 51 | 19 | 38 | 13.73% | 13 | 11.60 | 1 | 0 | 1 | 12 | 0 | 1 | 1 | 189 | 1 | 1 | 41.44% | 859 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 12 | Brayden McNabb | 0 | D | 57 | 5 | 8 | 13 | -9 | 16 | 0 | 17 | 42 | 15 | 28 | 11.90% | 73 | 19.26 | 1 | 0 | 1 | 27 | 0 | 0 | 0 | 147 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 13 | Marco Kasper | 0 | C | 57 | 4 | 7 | 11 | -1 | 22 | 0 | 72 | 68 | 18 | 46 | 5.88% | 5 | 12.48 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 84 | 1 | 1 | 48.40% | 843 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 14 | Keegan Kolesar | 0 | C/LW/RW | 57 | 1 | 7 | 8 | -12 | 41 | 5 | 72 | 31 | 12 | 23 | 3.23% | 3 | 7.08 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 22 | 0 | 0 | 40.98% | 61 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 15 | Denton Mateychuk | 0 | D | 57 | 0 | 6 | 6 | -20 | 19 | 5 | 43 | 33 | 5 | 21 | 0.00% | 71 | 14.30 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 78 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | |
| 16 | Artyom Levshunov | 0 | D | 57 | 0 | 5 | 5 | -11 | 14 | 0 | 64 | 18 | 8 | 7 | 0.00% | 28 | 12.74 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
| 17 | Anthony Beauvillier | 0 | LW | 57 | 2 | 1 | 3 | -12 | 4 | 0 | 26 | 31 | 10 | 22 | 6.45% | 11 | 9.74 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 173 | 0 | 0 | 42.86% | 42 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
| 18 | Gabe Perreault | 0 | RW | 6 | 2 | 0 | 2 | 4 | 0 | 0 | 3 | 10 | 6 | 5 | 20.00% | 1 | 13.22 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| Team Total or Average | 972 | 134 | 245 | 379 | -124 | 414 | 40 | 1115 | 1688 | 484 | 1138 | 7.94% | 494 | 16.66 | 39 | 64 | 103 | 1801 | 1 | 2 | 3 | 1353 | 22 | 11 | 46.74% | 5205 | 0 | 0 | 2 | 1 | 0.47 | 6 | 17 |
| 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 | 43 | 18 | 21 | 4 | 0.914 | 2.81 | 2517 | 8 | 2 | 118 | 1366 | 0 | 0 | 1 | 0.556 | 9 | 43 | 11 | 4 | 0 | 2 | |
| 2 | Tristan Jarry | 16 | 6 | 6 | 2 | 0.931 | 2.09 | 921 | 0 | 0 | 32 | 467 | 0 | 0 | 2 | 1.000 | 2 | 14 | 43 | 2 | 2 | 1 | |
| Team Total or Average | 59 | 24 | 27 | 6 | 0.918 | 2.62 | 3438 | 8 | 2 | 150 | 1833 | 0 | 0 | 3 | 0.636 | 11 | 57 | 54 | 6 | 2 | 3 |
| Projected Total Cap Hit | 87,502,646$ |
| Projected Cap Space | 7,997,354$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 55,130,261$ |
| 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 | 32 | 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 | 20 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Brayden McNabb ![]() | D | 35 | 3,650,000$ | 3,650,000$ | 3,650,000$ | 3,650,000$ | UFA | ||||
Connor Bedard | C | 20 | 950,000$ | 950,000$ | RFA | ||||||
Denton Mateychuk | D | 21 | 918,333$ | 918,333$ | RFA | ||||||
Erik Brannstrom ![]() | D | 26 | 2,250,000$ | 2,250,000$ | |||||||
Gabe Perreault | RW | 20 | 941,667$ | 941,667$ | 941,667$ | 941,667$ | RFA | ||||
Jacob Trouba ![]() | D | 31 | 8,000,000$ | 8,000,000$ | UFA | ||||||
| Jake Oettinger | G | 27 | 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$ |
Jesper Vikman | G | 23 | 858,000$ | 858,000$ | RFA | ||||||
Keegan Kolesar ![]() | C/LW/RW | 28 | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | UFA | ||||
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$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ |
Marco Kasper | C | 21 | 886,667$ | 886,667$ | 886,667$ | RFA | |||||
Matt Duchene ![]() | C/LW/RW | 35 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Patrick Kane ![]() | RW | 37 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Thomas Chabot ![]() | D | 29 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Trevor Zegras ![]() | C/LW/RW | 24 | 5,750,000$ | 5,750,000$ | RFA | ||||||
| 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 |
| 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 | 27 | 775,000$ | 775,000$ | |||||||
Bode Wilde | D | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Calle Sjalin | D | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Cedric Pare | C | 27 | 850,000$ | 850,000$ | |||||||
Damien Carfagna | D | 23 | 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$ | |||||||
Dominik Bokk | LW/RW | 26 | 0$ | ||||||||
Eetu Liukas | LW | 23 | 867,500$ | 867,500$ | RFA | ||||||
Gabriel Carriere | G | 25 | 795,000$ | 795,000$ | RFA | ||||||
Jayden Grubbe | C | 23 | 867,500$ | 867,500$ | 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 | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Lukas Reichel | C/LW | 23 | 1,200,000$ | 1,200,000$ | RFA | ||||||
Matt Hellickson | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Matthew Maggio | RW | 23 | 870,000$ | 870,000$ | RFA | ||||||
Matthew Savoie | C | 22 | 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 | 27 | 800,000$ | 800,000$ | |||||||
Nolan Burke | C | 23 | 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 | 24 | 895,000$ | 895,000$ | RFA | ||||||
Shane Lachance | LW | 22 | 0$ | RFA | |||||||
Tyson Jugnauth | D | 21 | 0$ | RFA | |||||||
Ville Petman | C/LW | 26 | 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$ |
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 2 | 2 | 34 | 2 | 13 | 14 | 8 | 27 | 8 | 8 | 25 | 0 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 25 | 17 | 26 | 7 | 13 | 6 | 100.0% | 8.8% | 92.6% | 101.4 | DULL | |
| 2 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 3 | 2 | 1 | 1 | 90 | 27 | 19 | 40 | 4 | 60 | 12 | 12 | 37 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 52 | 36 | 44 | 14 | 26 | 14 | 60.0% | 7.8% | 91.7% | 99.4 | DULL | |
| 3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 0 | 2 | 5 | 0 | 63 | 19 | 22 | 21 | 1 | 62 | 20 | 20 | 45 | 7 | 2 | 28.57% | 10 | 1 | 90.00% | 1 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 43 | 29 | 53 | 15 | 24 | 10 | 50.0% | 11.1% | 90.3% | 101.4 | FUN | |
| 4 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.250 | 8 | 14 | 22 | 0 | 1 | 4 | 2 | 2 | 0 | 145 | 53 | 51 | 41 | 0 | 114 | 36 | 28 | 96 | 17 | 2 | 11.76% | 8 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 107 | 76 | 83 | 27 | 49 | 26 | 50.0% | 5.5% | 94.7% | 100.3 | DULL | |
| 5 | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 8 | 13 | -5 | 1 | 0.125 | 8 | 14 | 22 | 0 | 0 | 4 | 3 | 1 | 0 | 113 | 32 | 44 | 36 | 1 | 144 | 29 | 32 | 88 | 10 | 0 | 0.00% | 14 | 5 | 64.29% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 89 | 61 | 102 | 28 | 48 | 24 | 50.0% | 7.1% | 91.0% | 98.1 | Unlucky | |
| 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 52 | 18 | 19 | 15 | 0 | 71 | 18 | 36 | 37 | 7 | 1 | 14.29% | 9 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 45 | 30 | 50 | 14 | 23 | 11 | 37.5% | 7.7% | 93.0% | 100.7 | DULL | |
| 7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 0 | 5 | 4 | 0 | 66 | 16 | 25 | 25 | 0 | 47 | 12 | 8 | 42 | 11 | 3 | 27.27% | 4 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 52 | 37 | 41 | 12 | 26 | 14 | 60.0% | 13.6% | 91.5% | 105.1 | LUCKY | |
| 8 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 4 | 2 | 1 | 1 | 83 | 25 | 35 | 19 | 4 | 61 | 20 | 14 | 37 | 8 | 2 | 25.00% | 7 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 50 | 36 | 46 | 13 | 23 | 11 | 60.0% | 9.6% | 93.4% | 103.1 | LUCKY | |
| 9 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 0.667 | 7 | 14 | 21 | 0 | 1 | 1 | 3 | 3 | 0 | 80 | 33 | 20 | 27 | 0 | 106 | 30 | 18 | 77 | 16 | 2 | 12.50% | 8 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 63 | 42 | 79 | 23 | 36 | 18 | 55.6% | 8.8% | 96.2% | 105.0 | DULL | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 0 | 3 | 0 | 0 | 29 | 4 | 16 | 9 | 0 | 43 | 11 | 6 | 20 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 21 | 13 | 25 | 7 | 12 | 6 | 28.6% | 10.3% | 88.4% | 98.7 | FUN | |
| 11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 4 | 7 | 1 | 0 | 1 | 0 | 2 | 0 | 59 | 17 | 26 | 16 | 0 | 54 | 24 | 14 | 47 | 6 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 52 | 38 | 41 | 13 | 25 | 13 | 30.0% | 5.1% | 87.0% | 92.1 | Unlucky | |
| 12 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 1 | 35 | 11 | 10 | 12 | 7 | 40 | 6 | 10 | 19 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 28 | 20 | 23 | 7 | 12 | 6 | 33.3% | 5.7% | 92.5% | 98.2 | DULL | |
| 13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 3 | 0 | 1 | 0 | 59 | 16 | 16 | 27 | 0 | 62 | 17 | 10 | 46 | 13 | 2 | 15.38% | 5 | 1 | 80.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 48 | 33 | 44 | 14 | 26 | 13 | 22.2% | 6.8% | 87.1% | 93.9 | Unlucky | |
| 14 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 69 | 26 | 14 | 29 | 0 | 51 | 10 | 14 | 26 | 10 | 2 | 20.00% | 6 | 1 | 83.33% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 52 | 35 | 43 | 15 | 26 | 13 | 28.6% | 5.8% | 88.2% | 94.0 | Unlucky | |
| 15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 2 | 8 | 2 | 0 | 67 | 16 | 26 | 25 | 0 | 64 | 18 | 6 | 38 | 8 | 4 | 50.00% | 3 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 49 | 35 | 44 | 14 | 25 | 12 | 53.3% | 17.9% | 89.1% | 107.0 | FUN | |
| 16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 19 | 11 | 15 | 0 | 51 | 21 | 26 | 43 | 4 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 47 | 31 | 46 | 15 | 26 | 12 | 0.0% | 0.0% | 88.2% | 88.2 | Unlucky | |
| 17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 0 | 1 | 5 | 0 | 55 | 14 | 19 | 22 | 0 | 78 | 33 | 24 | 32 | 8 | 3 | 37.50% | 12 | 2 | 83.33% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 39 | 25 | 54 | 15 | 25 | 11 | 42.9% | 10.9% | 92.3% | 103.2 | LUCKY | |
| 18 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 5 | 9 | -4 | 1 | 0.167 | 5 | 10 | 15 | 0 | 0 | 4 | 0 | 1 | 1 | 100 | 35 | 29 | 34 | 5 | 99 | 30 | 22 | 74 | 11 | 2 | 18.18% | 11 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 70 | 48 | 75 | 22 | 39 | 19 | 25.0% | 5.0% | 90.9% | 95.9 | Unlucky | |
| 19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 0 | 60 | 20 | 21 | 19 | 0 | 81 | 18 | 12 | 36 | 8 | 3 | 37.50% | 6 | 1 | 83.33% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 47 | 33 | 48 | 14 | 24 | 11 | 50.0% | 11.7% | 93.8% | 105.5 | LUCKY | |
| 20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 41 | 17 | 10 | 14 | 0 | 24 | 11 | 6 | 21 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 24 | 16 | 22 | 8 | 12 | 6 | 50.0% | 7.3% | 91.7% | 99.0 | DULL | |
| 21 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 0 | 1 | 31 | 5 | 13 | 9 | 4 | 38 | 10 | 8 | 19 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 21 | 14 | 26 | 7 | 12 | 6 | 66.7% | 6.5% | 97.4% | 103.8 | DULL | |
| 22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 5 | 11 | 14 | 0 | 36 | 12 | 10 | 14 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 25 | 17 | 22 | 7 | 12 | 5 | 16.7% | 3.3% | 86.1% | 89.4 | Unlucky | |
| 23 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 1 | 1 | 1 | 2 | 50 | 13 | 21 | 14 | 4 | 59 | 16 | 13 | 30 | 6 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 43 | 29 | 57 | 14 | 24 | 11 | 57.1% | 8.0% | 93.2% | 101.2 | DULL | |
| 24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 27 | 14 | 10 | 3 | 0 | 31 | 6 | 14 | 17 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 23 | 16 | 24 | 6 | 12 | 5 | 25.0% | 7.4% | 87.1% | 94.5 | Unlucky | |
| 25 | 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 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 20 | 12 | 27 | 7 | 12 | 5 | 0.0% | 0.0% | 94.3% | 94.3 | DULL | |
| 26 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 6 | 2 | 1 | 0 | 121 | 42 | 48 | 31 | 0 | 108 | 27 | 19 | 55 | 17 | 5 | 29.41% | 7 | 2 | 71.43% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 77 | 56 | 66 | 20 | 36 | 19 | 30.8% | 7.4% | 89.8% | 97.3 | Unlucky | |
| 27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | -8 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 18 | 18 | 13 | 0 | 83 | 23 | 34 | 30 | 9 | 0 | 0.00% | 8 | 4 | 50.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 43 | 29 | 51 | 13 | 24 | 11 | 0.0% | 0.0% | 90.4% | 90.4 | Unlucky | |
| 28 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 3 | 1 | 1 | 75 | 28 | 23 | 22 | 2 | 48 | 8 | 17 | 45 | 11 | 1 | 9.09% | 4 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 53 | 38 | 44 | 14 | 24 | 12 | 62.5% | 8.0% | 93.8% | 101.8 | DULL | |
| 29 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 3 | 4 | 2 | 0 | 61 | 19 | 22 | 20 | 0 | 59 | 14 | 10 | 39 | 8 | 1 | 12.50% | 4 | 0 | 100.00% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 53 | 38 | 41 | 13 | 25 | 13 | 66.7% | 14.8% | 93.2% | 108.0 | LUCKY | |
| _Vs Division | 17 | 5 | 10 | 0 | 1 | 1 | 0 | 0 | 40 | 44 | -4 | 13 | 0.382 | 40 | 71 | 111 | 0 | 2 | 19 | 12 | 8 | 1 | 579 | 192 | 193 | 189 | 5 | 568 | 146 | 119 | 367 | 76 | 10 | 13.16% | 46 | 8 | 82.61% | 0 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 414 | 291 | 399 | 123 | 210 | 109 | 45.5% | 6.9% | 92.3% | 99.2 | DULL | |
| _Vs Conference | 32 | 10 | 14 | 0 | 3 | 4 | 0 | 1 | 82 | 81 | 1 | 31 | 0.484 | 82 | 153 | 235 | 0 | 2 | 31 | 25 | 23 | 4 | 1067 | 345 | 358 | 348 | 19 | 1042 | 270 | 221 | 667 | 132 | 24 | 18.18% | 95 | 11 | 88.42% | 1 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 773 | 539 | 760 | 232 | 400 | 202 | 45.3% | 7.7% | 92.2% | 99.9 | DULL | |
| _Since Last GM Reset | 57 | 18 | 27 | 0 | 4 | 4 | 2 | 2 | 143 | 155 | -12 | 54 | 0.474 | 143 | 257 | 400 | 3 | 2 | 48 | 47 | 42 | 10 | 1805 | 571 | 618 | 589 | 40 | 1836 | 504 | 455 | 1156 | 225 | 40 | 17.78% | 182 | 24 | 86.81% | 1 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 1375 | 955 | 1360 | 413 | 715 | 358 | 44.0% | 7.9% | 91.6% | 99.5 | DULL | |
| Total | 57 | 18 | 27 | 0 | 4 | 4 | 2 | 2 | 143 | 155 | -12 | 54 | 0.474 | 143 | 257 | 400 | 3 | 2 | 48 | 47 | 42 | 10 | 1805 | 571 | 618 | 589 | 40 | 1836 | 504 | 455 | 1156 | 225 | 40 | 17.78% | 182 | 24 | 86.81% | 1 | 963 | 2006 | 48.01% | 908 | 1980 | 45.86% | 411 | 855 | 48.07% | 1375 | 955 | 1360 | 413 | 715 | 358 | 44.0% | 7.9% | 91.6% | 99.5 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2006 |
| Neutral Zone Start | 855 |
| Defensive Zone Start | 1980 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2282 |
| Faceoffs Lost | 2559 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.0 | 9.57 |
| 2nd Period | 20.9 | 20.31 |
| 3rd Period | 31.2 | 30.68 |
| Overtime | 31.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 1.7 | 1.65 |
| 3rd Period | 2.4 | 2.67 |
| Overtime | 2.6 | 2.83 |
| Even Strenght Goal | 99 |
|---|---|
| PP Goal | 40 |
| PK Goal | 1 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 11 | 13 |
| Lost | 12 | 15 |
| Overtime Lost | 2 | 4 |
| PP Attempt | 225 |
|---|---|
| PP Goal | 40 |
| PK Attempt | 182 |
| PK Goal Against | 24 |
| Home | |
|---|---|
| Shots For | 31.7 |
| Shots Against | 32.2 |
| Goals For | 2.5 |
| Goals Against | 2.7 |
| Hits | 20.3 |
| Shots Blocked | 8.8 |
| Pim | 8.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-08 | @ | Penguins5,Rangers3 | RECAP | |||||||||||
| 2025-10-10 | @ | Rangers2,Sabres3 | RECAP | |||||||||||
| 2025-10-12 | @ | Rangers1,Penguins3 | RECAP | |||||||||||
| 2025-10-13 | @ | Capitals0,Rangers3 | RECAP | |||||||||||
| 2025-10-15 | @ | Oilers3,Rangers6 | RECAP | |||||||||||
| 2025-10-17 | @ | Rangers0,Maple Leafs2 | RECAP | |||||||||||
| 2025-10-19 | @ | Rangers4,Canadiens1 | RECAP | |||||||||||
| 2025-10-21 | @ | Wild5,Rangers3 | RECAP | |||||||||||
| 2025-10-24 | @ | Sharks3,Rangers0 | RECAP | |||||||||||
| 2025-10-27 | @ | Rangers3,Flames2 (SO) | RECAP | |||||||||||
| 2025-10-29 | @ | Rangers2,Canucks4 | RECAP | |||||||||||
| 2025-10-31 | @ | Rangers6,Oilers4 | RECAP | |||||||||||
| 2025-11-02 | @ | Rangers5,Kraken2 | RECAP | |||||||||||
| 2025-11-05 | @ | Hurricanes4,Rangers3 | RECAP | |||||||||||
| 2025-11-08 | @ | Rangers6,Red Wings2 | RECAP | |||||||||||
| 2025-11-09 | @ | Islanders2,Rangers1 | RECAP | |||||||||||
| 2025-11-11 | @ | Predators4,Rangers2 | RECAP | |||||||||||
| 2025-11-13 | @ | Rangers2,Lightning3 (OT) | RECAP | |||||||||||
| 2025-11-16 | @ | Rangers1,Blue Jackets5 | RECAP | |||||||||||
| 2025-11-17 | @ | Red Wings2,Rangers3 | RECAP | |||||||||||
| 2025-11-19 | @ | Rangers3,Golden Knights1 | RECAP | |||||||||||
| 2025-11-21 | @ | Rangers3,Avalanche2 | RECAP | |||||||||||
| 2025-11-23 | @ | Rangers2,Mammoth4 | RECAP | |||||||||||
| 2025-11-25 | @ | Blues3,Rangers0 | RECAP | |||||||||||
| 2025-11-27 | @ | Rangers1,Hurricanes3 | RECAP | |||||||||||
| 2025-11-29 | @ | Rangers1,Bruins2 (SO) | RECAP | |||||||||||
| 2025-11-30 | @ | Lightning3,Rangers2 (OT) | RECAP | |||||||||||
| 2025-12-03 | @ | Stars4,Rangers2 | RECAP | |||||||||||
| 2025-12-05 | @ | Rangers1,Senators2 (OT) | RECAP | |||||||||||
| 2025-12-07 | @ | Avalanche3,Rangers1 | RECAP | |||||||||||
| 2025-12-08 | @ | Golden Knights2,Rangers3 (OT) | RECAP | |||||||||||
| 2025-12-11 | @ | Rangers3,Blackhawks2 | RECAP | |||||||||||
| 2025-12-14 | @ | Canadiens3,Rangers4 (OT) | RECAP | |||||||||||
| 2025-12-16 | @ | Ducks3,Rangers2 | RECAP | |||||||||||
| 2025-12-17 | @ | Canucks3,Rangers1 | RECAP | |||||||||||
| 2025-12-19 | @ | Rangers0,Blues3 | RECAP | |||||||||||
| 2025-12-21 | @ | Flyers2,Rangers3 | RECAP | |||||||||||
| 2025-12-22 | @ | Rangers2,Predators4 | RECAP | |||||||||||
| 2025-12-24 | @ | Rangers3,Capitals2 | RECAP | |||||||||||
| 2025-12-28 | @ | Rangers0,Islanders1 | RECAP | |||||||||||
| 2025-12-30 | @ | Rangers2,Hurricanes3 | RECAP | |||||||||||
| 2026-01-01 | @ | Rangers1,Capitals2 | RECAP | |||||||||||
| 2026-01-03 | @ | Rangers2,Panthers1 (OT) | RECAP | |||||||||||
| 2026-01-06 | @ | Mammoth2,Rangers4 | RECAP | |||||||||||
| 2026-01-09 | @ | Sabres2,Rangers5 | RECAP | |||||||||||
| 2026-01-11 | @ | Rangers2,Bruins4 | RECAP | |||||||||||
| 2026-01-13 | @ | Kraken2,Rangers4 | RECAP | |||||||||||
| 2026-01-15 | @ | Senators4,Rangers6 | RECAP | |||||||||||
| 2026-01-18 | @ | Rangers4,Flyers3 (OT) | RECAP | |||||||||||
| 2026-01-20 | @ | Rangers2,Ducks1 (SO) | RECAP | |||||||||||
| 2026-01-21 | @ | Rangers2,Kings3 (SO) | RECAP | |||||||||||
| 2026-01-24 | @ | Rangers0,Sharks5 | RECAP | |||||||||||
| 2026-01-27 | @ | Bruins3,Rangers2 | RECAP | |||||||||||
| 2026-01-29 | @ | Rangers2,Islanders3 | RECAP | |||||||||||
| 2026-01-30 | @ | Islanders0,Rangers5 | RECAP | |||||||||||
| 2026-02-01 | @ | Rangers5,Penguins3 | RECAP | |||||||||||
| 2026-02-06 | @ | Hurricanes3,Rangers2 (OT) | RECAP | |||||||||||
| 2026-02-27 | @ | |||||||||||||
| 2026-03-01 | @ | |||||||||||||
| 2026-03-03 | @ | |||||||||||||
| 2026-03-06 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | |||||||||||||
| 2026-03-10 | @ | |||||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-13 | @ | |||||||||||||
| 2026-03-15 | @ | |||||||||||||
| 2026-03-17 | @ | |||||||||||||
| 2026-03-19 | @ | |||||||||||||
| 2026-03-20 | @ | |||||||||||||
| 2026-03-23 | @ | |||||||||||||
| 2026-03-24 | @ | |||||||||||||
| 2026-03-26 | @ | |||||||||||||
| 2026-03-28 | @ | |||||||||||||
| 2026-03-30 | @ | |||||||||||||
| 2026-04-01 | @ | |||||||||||||
| 2026-04-03 | @ | |||||||||||||
| 2026-04-05 | @ | |||||||||||||
| 2026-04-06 | @ | |||||||||||||
| 2026-04-09 | @ | |||||||||||||
| 2026-04-12 | @ | |||||||||||||
| 2026-04-14 | @ | |||||||||||||
| 2026-04-16 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 90,079,667$ | 0$ | 87,502,646$ | 5,420,333$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| 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 | 139709 | 117410 | 46621 | 92388 | 23090 |
| Attendance PCT | 93.14% | 93.93% | 93.24% | 92.39% | 92.36% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 16 | 16769 - 93.16% | 1,537,897$ | 38,447,418$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 90,079,667$ | 90,079,667$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 55,770,932$ | 469,165$ | 55,130,261$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 24,606,348$ | 69 | 474,373$ | 32,731,737$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 33,617,175$ | 90,079,667$ | 73,613,520$ | 64,602,693$ |
Rookie
Injured
Cold Streak
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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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| 2026 | ||||||||
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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 |
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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 |
|---|---|---|---|---|---|
| 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 | |||
| Tanner Henricks | 2024 | 131 | |||
| William Von Barnekow | 2021 | 190 | |||
| Yegor Serdyuk | 2019 | 179 |
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