| New York Rangers 10-14-1, 21pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matt Duchene | 0 | C/LW/RW | 100.00 | 59 | 32 | 92 | 75 | 75 | 84 | 90 | 74 | 82 | 79 | 77 | 57 | 75 | 83 | 82 | 0 | 19 | 84 | 34 | 8,000,000$/1yrs | |||
Patrick Kane | 0 | RW | 100.00 | 57 | 32 | 91 | 75 | 67 | 86 | 84 | 73 | 59 | 78 | 76 | 54 | 75 | 87 | 86 | 0 | 39 | 84 | 37 | 3,000,000$/3yrs | |||
Kevin Fiala | 0 | C/LW/RW | 100.00 | 65 | 33 | 79 | 76 | 76 | 86 | 90 | 73 | 59 | 74 | 80 | 56 | 76 | 73 | 71 | 0 | 39 | 83 | 29 | 8,500,000$/7yrs | |||
Connor Bedard | 0 | C | 100.00 | 64 | 32 | 77 | 82 | 70 | 89 | 88 | 73 | 75 | 79 | 74 | 58 | 74 | 58 | 56 | 0 | 39 | 83 | 20 | 950,000$/1yrs | |||
Troy Terry | 0 | RW | 100.00 | 55 | 32 | 89 | 73 | 72 | 87 | 89 | 71 | 59 | 75 | 72 | 56 | 72 | 71 | 70 | 0 | 39 | 80 | 28 | 7,000,000$/4yrs | |||
William Eklund | 0 | C/LW | 100.00 | 62 | 34 | 87 | 74 | 70 | 88 | 89 | 70 | 59 | 75 | 69 | 69 | 69 | 63 | 61 | 0 | 40 | 80 | 23 | 863,333$/4yrs | |||
Logan Cooley | 0 | C | 100.00 | 64 | 32 | 86 | 73 | 66 | 84 | 89 | 70 | 77 | 73 | 74 | 60 | 72 | 60 | 58 | 0 | 39 | 80 | 21 | 950,000$/9yrs | |||
Jack Quinn | 0 | LW/RW | 100.00 | 64 | 32 | 91 | 70 | 74 | 81 | 81 | 67 | 58 | 70 | 70 | 56 | 69 | 64 | 63 | 0 | 39 | 78 | 24 | 3,375,000$/2yrs | |||
Marco Kasper | 0 | C | 100.00 | 80 | 32 | 84 | 71 | 73 | 81 | 77 | 65 | 78 | 65 | 71 | 64 | 68 | 60 | 58 | 0 | 24 | 77 | 21 | 886,667$/2yrs | |||
Alex Iafallo | 0 | C/LW | 100.00 | 62 | 34 | 95 | 63 | 77 | 79 | 90 | 63 | 59 | 63 | 65 | 76 | 64 | 78 | 77 | 0 | 40 | 76 | 31 | 5,500,000$/4yrs | |||
Keegan Kolesar | 0 | C/LW/RW | 100.00 | 91 | 52 | 78 | 57 | 85 | 76 | 90 | 60 | 59 | 62 | 63 | 64 | 61 | 72 | 70 | 0 | 20 | 74 | 28 | 1,650,000$/3yrs | |||
Anthony Beauvillier | 0 | LW | 100.00 | 72 | 32 | 94 | 59 | 70 | 78 | 87 | 61 | 61 | 61 | 64 | 61 | 63 | 71 | 71 | 0 | 39 | 73 | 28 | 1,300,000$/1yrs | |||
Kris Letang | 0 | D | 99.00 | 75 | 33 | 75 | 64 | 78 | 96 | 89 | 66 | 30 | 73 | 63 | 78 | 65 | 90 | 87 | 0 | 39 | 83 | 38 | 9,500,000$/2yrs | |||
Thomas Chabot | 0 | D | 99.00 | 64 | 33 | 89 | 73 | 78 | 93 | 90 | 67 | 30 | 75 | 63 | 78 | 65 | 73 | 72 | 0 | 40 | 83 | 28 | 8,000,000$/3yrs | |||
Jacob Trouba | 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$/1yrs | |||
Brayden McNabb | 0 | D | 100.00 | 36 | 35 | 85 | 57 | 87 | 89 | 90 | 63 | 30 | 65 | 57 | 81 | 60 | 83 | 81 | 0 | 39 | 77 | 34 | 3,650,000$/3yrs | |||
Artyom Levshunov (R) | 0 | D | 100.00 | 69 | 33 | 84 | 68 | 82 | 90 | 68 | 55 | 30 | 70 | 50 | 55 | 52 | 56 | 55 | 0 | 39 | 74 | 20 | 975,000$/2yrs | |||
Denton Mateychuk (R) | 0 | D | 100.00 | 62 | 32 | 84 | 57 | 72 | 86 | 72 | 56 | 30 | 63 | 61 | 64 | 58 | 59 | 57 | 0 | 43 | 72 | 21 | 918,333$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Lukas Reichel | 0 | C/LW | 100.00 | 59 | 32 | 93 | 63 | 67 | 77 | 86 | 58 | 73 | 63 | 60 | 58 | 59 | 63 | 62 | 0 | 30 | 71 | 23 | 1,200,000$/1yrs | |||
Erik Brannstrom | 0 | D | 100.00 | 62 | 34 | 82 | 60 | 70 | 83 | 81 | 57 | 30 | 64 | 58 | 68 | 58 | 68 | 66 | 0 | 20 | 74 | 26 | 2,250,000$/1yrs | |||
| TEAM AVERAGE | 99.90 | 65 | 34 | 85 | 68 | 75 | 85 | 85 | 65 | 53 | 70 | 66 | 65 | 66 | 71 | 69 | 0 | 35 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jake Oettinger | 0 | 96.00 | 86 | 95 | 83 | 91 | 90 | 79 | 90 | 95 | 85 | 98 | 90 | 70 | 74 | 0 | 33 | 91 | 26 | 8,250,000$/8yrs |
Tristan Jarry | 0 | 100.00 | 82 | 91 | 79 | 79 | 85 | 76 | 86 | 93 | 83 | 93 | 86 | 76 | 80 | 0 | 45 | 88 | 30 | 5,500,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 98.00 | 84 | 93 | 81 | 85 | 88 | 78 | 88 | 94 | 84 | 96 | 88 | 73 | 77 | 0 | 39 | 90 | |||
| 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 | 25 | 4 | 19 | 23 | -2 | 11 | 5 | 21 | 58 | 13 | 38 | 6.90% | 34 | 24.88 | 1 | 7 | 8 | 84 | 0 | 0 | 0 | 62 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | |
| 2 | Matt Duchene | 0 | C/LW/RW | 25 | 6 | 11 | 17 | -5 | 10 | 0 | 20 | 85 | 27 | 61 | 7.06% | 4 | 19.68 | 1 | 3 | 4 | 82 | 0 | 0 | 0 | 44 | 1 | 0 | 46.43% | 28 | 0 | 0 | 0 | 0 | 0.69 | 0 | 3 | |
| 3 | William Eklund | 0 | C/LW | 25 | 7 | 10 | 17 | 0 | 17 | 5 | 21 | 101 | 34 | 66 | 6.93% | 6 | 18.48 | 0 | 6 | 6 | 80 | 0 | 0 | 0 | 30 | 0 | 2 | 39.02% | 123 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | |
| 4 | Connor Bedard | 0 | C | 25 | 7 | 10 | 17 | -3 | 14 | 0 | 55 | 84 | 18 | 56 | 8.33% | 4 | 20.54 | 2 | 3 | 5 | 89 | 0 | 0 | 0 | 28 | 1 | 1 | 48.51% | 639 | 0 | 0 | 0 | 0 | 0.66 | 1 | 1 | |
| 5 | Troy Terry | 0 | RW | 25 | 7 | 8 | 15 | -2 | 2 | 0 | 12 | 61 | 21 | 45 | 11.48% | 1 | 18.23 | 4 | 2 | 6 | 76 | 0 | 0 | 0 | 0 | 1 | 0 | 47.22% | 36 | 0 | 0 | 1 | 0 | 0.66 | 0 | 0 | |
| 6 | Kris Letang | 0 | D | 25 | 2 | 13 | 15 | -3 | 34 | 0 | 58 | 41 | 16 | 20 | 4.88% | 32 | 24.45 | 1 | 5 | 6 | 84 | 0 | 0 | 0 | 50 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| 7 | Jack Quinn | 0 | LW/RW | 25 | 8 | 7 | 15 | -5 | 6 | 0 | 22 | 46 | 17 | 34 | 17.39% | 1 | 15.00 | 4 | 3 | 7 | 82 | 0 | 0 | 0 | 0 | 0 | 0 | 47.37% | 19 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | |
| 8 | Kevin Fiala | 0 | C/LW/RW | 25 | 8 | 5 | 13 | -2 | 8 | 0 | 38 | 71 | 18 | 44 | 11.27% | 3 | 20.25 | 1 | 2 | 3 | 89 | 0 | 0 | 0 | 35 | 1 | 1 | 44.05% | 84 | 0 | 0 | 0 | 0 | 0.51 | 1 | 1 | |
| 9 | Logan Cooley | 0 | C | 25 | 4 | 9 | 13 | -1 | 2 | 0 | 35 | 67 | 19 | 55 | 5.97% | 2 | 17.86 | 2 | 1 | 3 | 87 | 0 | 0 | 0 | 0 | 0 | 1 | 49.66% | 435 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 10 | Brayden McNabb | 0 | D | 25 | 2 | 7 | 9 | -11 | 0 | 0 | 0 | 26 | 6 | 15 | 7.69% | 30 | 20.69 | 1 | 0 | 1 | 25 | 0 | 0 | 0 | 57 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 11 | Patrick Kane | 0 | RW | 25 | 3 | 6 | 9 | -4 | 2 | 0 | 15 | 61 | 28 | 35 | 4.92% | 4 | 17.66 | 2 | 1 | 3 | 62 | 0 | 0 | 0 | 32 | 1 | 0 | 31.25% | 96 | 0 | 0 | 0 | 0 | 0.41 | 0 | 1 | |
| 12 | Jacob Trouba | 0 | D | 25 | 1 | 7 | 8 | -11 | 49 | 5 | 93 | 21 | 7 | 10 | 4.76% | 34 | 19.02 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 13 | Marco Kasper | 0 | C | 25 | 2 | 4 | 6 | 4 | 6 | 0 | 26 | 28 | 7 | 24 | 7.14% | 2 | 14.48 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 67 | 0 | 0 | 49.05% | 475 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 14 | Alex Iafallo | 0 | C/LW | 25 | 4 | 1 | 5 | -8 | 5 | 5 | 7 | 29 | 8 | 24 | 13.79% | 7 | 11.45 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 60 | 1 | 1 | 44.89% | 323 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 15 | Keegan Kolesar | 0 | C/LW/RW | 25 | 1 | 3 | 4 | -8 | 16 | 0 | 43 | 24 | 6 | 13 | 4.17% | 1 | 8.32 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 7 | 0 | 0 | 45.16% | 31 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 16 | Lukas Reichel | 0 | C/LW | 14 | 0 | 3 | 3 | -5 | 2 | 0 | 7 | 11 | 1 | 7 | 0.00% | 0 | 8.96 | 0 | 2 | 2 | 30 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 82 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 17 | Denton Mateychuk | 0 | D | 25 | 0 | 2 | 2 | -4 | 11 | 5 | 20 | 12 | 4 | 6 | 0.00% | 21 | 13.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
| 18 | Artyom Levshunov | 0 | D | 25 | 0 | 2 | 2 | -5 | 4 | 0 | 28 | 11 | 5 | 4 | 0.00% | 10 | 12.49 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
| 19 | Anthony Beauvillier | 0 | LW | 25 | 1 | 0 | 1 | -9 | 0 | 0 | 15 | 17 | 7 | 13 | 5.88% | 4 | 9.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0 | 0 | 53.33% | 15 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | |
| Team Total or Average | 464 | 67 | 127 | 194 | -84 | 199 | 25 | 536 | 854 | 262 | 570 | 7.85% | 200 | 16.78 | 20 | 36 | 56 | 904 | 0 | 0 | 0 | 602 | 9 | 6 | 46.98% | 2386 | 0 | 0 | 1 | 0 | 0.50 | 2 | 6 |
| 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 | 20 | 8 | 12 | 0 | 0.905 | 3.04 | 1124 | 2 | 1 | 57 | 603 | 0 | 0 | 0 | 1.000 | 2 | 20 | 3 | 1 | 0 | 1 | |
| 2 | Tristan Jarry | 7 | 2 | 2 | 1 | 0.930 | 2.06 | 378 | 0 | 0 | 13 | 186 | 0 | 0 | 2 | 0.000 | 0 | 5 | 20 | 0 | 1 | 0 | |
| Team Total or Average | 27 | 10 | 14 | 1 | 0.911 | 2.80 | 1502 | 2 | 1 | 70 | 789 | 0 | 0 | 2 | 1.000 | 2 | 25 | 23 | 1 | 1 | 1 |
| Projected Total Cap Hit | 87,312,699$ |
| Projected Cap Space | 8,187,301$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 22,711,011$ |
| 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 | 20 | 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 | ||||||
Denton Mateychuk | D | 21 | 918,333$ | 918,333$ | RFA | ||||||
Erik Brannstrom ![]() | D | 26 | 2,250,000$ | 2,250,000$ | |||||||
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$ |
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$ |
Lukas Reichel | C/LW | 23 | 1,200,000$ | 1,200,000$ | RFA | ||||||
Marco Kasper | C | 21 | 886,667$ | 886,667$ | 886,667$ | RFA | |||||
Matt Duchene ![]() | C/LW/RW | 34 | 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 | 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$ | |||||||
Dominik Bokk | LW/RW | 25 | 0$ | ||||||||
Eetu Liukas | LW | 23 | 867,500$ | 867,500$ | RFA | ||||||
Gabriel Carriere | G | 25 | 795,000$ | 795,000$ | 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 | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Matt Hellickson | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Matthew Maggio | RW | 23 | 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 | 24 | 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 | 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 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 25 | 17 | 26 | 7 | 13 | 6 | 100.0% | 8.8% | 92.6% | 101.4 | DULL | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 32 | 8 | 13 | 11 | 0 | 26 | 7 | 12 | 30 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 27 | 19 | 19 | 6 | 12 | 7 | 33.3% | 3.1% | 92.3% | 95.4 | DULL | |
| 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 72 | 18 | 28 | 26 | 0 | 69 | 8 | 12 | 43 | 6 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 48 | 34 | 46 | 13 | 24 | 12 | 40.0% | 5.6% | 89.9% | 95.4 | Unlucky | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 10 | 9 | 9 | 0 | 31 | 8 | 10 | 21 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 23 | 15 | 25 | 7 | 11 | 5 | 50.0% | 10.7% | 93.5% | 104.3 | LUCKY | |
| 5 | 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 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 52 | 37 | 41 | 12 | 26 | 14 | 60.0% | 13.6% | 91.5% | 105.1 | LUCKY | |
| 6 | 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 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 24 | 17 | 23 | 6 | 11 | 5 | 66.7% | 10.8% | 96.9% | 107.7 | LUCKY | |
| 7 | 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 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 23 | 16 | 25 | 7 | 11 | 5 | 100.0% | 9.1% | 100.0% | 109.1 | LUCKY | |
| 8 | 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 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 21 | 13 | 25 | 7 | 12 | 6 | 28.6% | 10.3% | 88.4% | 98.7 | FUN | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 1 | 0 | 1 | 0 | 27 | 7 | 13 | 7 | 0 | 27 | 10 | 6 | 23 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 26 | 19 | 20 | 6 | 12 | 6 | 33.3% | 7.4% | 85.2% | 92.6 | Unlucky | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 7 | 6 | 13 | 0 | 28 | 5 | 6 | 28 | 8 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 24 | 16 | 22 | 7 | 12 | 6 | 33.3% | 7.7% | 85.7% | 93.4 | Unlucky | |
| 11 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 37 | 12 | 8 | 17 | 0 | 29 | 2 | 8 | 10 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 24 | 16 | 22 | 7 | 13 | 6 | 50.0% | 5.4% | 89.7% | 95.1 | Unlucky | |
| 12 | 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 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 49 | 35 | 44 | 14 | 25 | 12 | 53.3% | 17.9% | 89.1% | 107.0 | FUN | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 12 | 6 | 9 | 0 | 25 | 11 | 14 | 22 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 24 | 16 | 22 | 7 | 12 | 6 | 0.0% | 0.0% | 88.0% | 88.0 | Unlucky | |
| 14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 9 | 14 | 10 | 0 | 47 | 9 | 12 | 20 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 20 | 13 | 26 | 6 | 13 | 6 | 50.0% | 6.1% | 91.5% | 97.5 | DULL | |
| 15 | 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 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 23 | 16 | 24 | 7 | 12 | 5 | 0.0% | 8.3% | 93.3% | 101.7 | DULL | |
| 16 | 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 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 25 | 17 | 22 | 7 | 12 | 5 | 16.7% | 3.3% | 86.1% | 89.4 | Unlucky | |
| 17 | 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 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 20 | 12 | 27 | 7 | 12 | 5 | 0.0% | 0.0% | 94.3% | 94.3 | DULL | |
| 18 | 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 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 49 | 36 | 46 | 13 | 23 | 12 | 25.0% | 5.1% | 90.1% | 95.3 | Unlucky | |
| 19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 9 | 11 | 12 | 0 | 29 | 11 | 9 | 18 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 24 | 16 | 23 | 5 | 12 | 6 | 0.0% | 0.0% | 89.7% | 89.7 | Unlucky | |
| 20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 49 | 21 | 15 | 13 | 0 | 20 | 3 | 11 | 17 | 7 | 1 | 14.29% | 2 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 29 | 21 | 19 | 6 | 11 | 6 | 66.7% | 6.1% | 95.0% | 101.1 | DULL | |
| 21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 27 | 6 | 13 | 8 | 0 | 24 | 5 | 8 | 21 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 24 | 17 | 22 | 7 | 12 | 6 | 66.7% | 18.5% | 91.7% | 110.2 | LUCKY | |
| _Vs Division | 7 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 13 | 22 | -9 | 2 | 0.143 | 13 | 24 | 37 | 0 | 1 | 8 | 3 | 2 | 0 | 245 | 79 | 89 | 77 | 0 | 238 | 57 | 57 | 149 | 35 | 4 | 11.43% | 17 | 3 | 82.35% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 174 | 125 | 161 | 48 | 84 | 43 | 32.1% | 5.3% | 90.8% | 96.1 | Unlucky | |
| _Vs Conference | 13 | 4 | 8 | 0 | 0 | 1 | 0 | 0 | 30 | 35 | -5 | 9 | 0.346 | 30 | 57 | 87 | 0 | 1 | 12 | 10 | 8 | 0 | 425 | 133 | 151 | 141 | 0 | 426 | 100 | 91 | 253 | 58 | 11 | 18.97% | 34 | 4 | 88.24% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 319 | 225 | 300 | 89 | 160 | 81 | 38.0% | 7.1% | 91.8% | 98.8 | DULL | |
| _Since Last GM Reset | 25 | 9 | 14 | 0 | 0 | 1 | 1 | 0 | 65 | 72 | -7 | 21 | 0.420 | 65 | 118 | 183 | 2 | 1 | 19 | 28 | 17 | 2 | 804 | 236 | 293 | 270 | 8 | 791 | 199 | 187 | 506 | 103 | 19 | 18.45% | 71 | 8 | 88.73% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 614 | 430 | 579 | 174 | 312 | 158 | 41.8% | 8.1% | 90.9% | 99.0 | Unlucky | |
| Total | 25 | 9 | 14 | 0 | 0 | 1 | 1 | 0 | 65 | 72 | -7 | 21 | 0.420 | 65 | 118 | 183 | 2 | 1 | 19 | 28 | 17 | 2 | 804 | 236 | 293 | 270 | 8 | 791 | 199 | 187 | 506 | 103 | 19 | 18.45% | 71 | 8 | 88.73% | 0 | 426 | 886 | 48.08% | 370 | 814 | 45.45% | 184 | 395 | 46.58% | 614 | 430 | 579 | 174 | 312 | 158 | 41.8% | 8.1% | 90.9% | 99.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 886 |
| Neutral Zone Start | 395 |
| Defensive Zone Start | 814 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 980 |
| Faceoffs Lost | 1115 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.4 | 9.57 |
| 2nd Period | 21.2 | 20.31 |
| 3rd Period | 32.0 | 30.68 |
| Overtime | 32.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.6 | 2.67 |
| Overtime | 2.6 | 2.83 |
| Even Strenght Goal | 44 |
|---|---|
| PP Goal | 19 |
| PK Goal | 0 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 3 | 7 |
| Lost | 7 | 7 |
| Overtime Lost | 0 | 1 |
| PP Attempt | 103 |
|---|---|
| PP Goal | 19 |
| PK Attempt | 71 |
| PK Goal Against | 8 |
| Home | |
|---|---|
| Shots For | 32.2 |
| Shots Against | 31.6 |
| Goals For | 2.6 |
| Goals Against | 2.9 |
| Hits | 20.2 |
| Shots Blocked | 8.0 |
| Pim | 7.5 |
| 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 | @ | |||||||||||||
| 2025-11-30 | @ | |||||||||||||
| 2025-12-03 | @ | |||||||||||||
| 2025-12-05 | @ | |||||||||||||
| 2025-12-07 | @ | |||||||||||||
| 2025-12-08 | @ | |||||||||||||
| 2025-12-11 | @ | |||||||||||||
| 2025-12-14 | @ | |||||||||||||
| 2025-12-16 | @ | |||||||||||||
| 2025-12-17 | @ | |||||||||||||
| 2025-12-19 | @ | |||||||||||||
| 2025-12-21 | @ | |||||||||||||
| 2025-12-22 | @ | |||||||||||||
| 2025-12-24 | @ | |||||||||||||
| 2025-12-28 | @ | |||||||||||||
| 2025-12-30 | @ | |||||||||||||
| 2026-01-01 | @ | |||||||||||||
| 2026-01-03 | @ | |||||||||||||
| 2026-01-06 | @ | |||||||||||||
| 2026-01-09 | @ | |||||||||||||
| 2026-01-11 | @ | |||||||||||||
| 2026-01-13 | @ | |||||||||||||
| 2026-01-15 | @ | |||||||||||||
| 2026-01-18 | @ | |||||||||||||
| 2026-01-20 | @ | |||||||||||||
| 2026-01-21 | @ | |||||||||||||
| 2026-01-24 | @ | |||||||||||||
| 2026-01-27 | @ | |||||||||||||
| 2026-01-29 | @ | |||||||||||||
| 2026-01-30 | @ | |||||||||||||
| 2026-02-01 | @ | |||||||||||||
| 2026-02-06 | @ | |||||||||||||
| 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 |
| 87,968,333$ | 0$ | 87,312,699$ | 7,531,667$ |
| 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 | 56356 | 47331 | 18635 | 36512 | 9176 |
| Attendance PCT | 93.93% | 94.66% | 93.18% | 91.28% | 91.76% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 31 | 16801 - 93.34% | 1,543,839$ | 15,438,393$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 87,968,333$ | 87,968,333$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 22,976,649$ | 458,168$ | 22,711,011$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 47,859,018$ | 141 | 463,377$ | 65,336,157$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 67,315,533$ | 87,968,333$ | 84,509,652$ | 65,053,137$ |
Rookie
Injured
Cold Streak
Hot Streak | 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 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
| 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 |
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||

