|
|
|
|
|
|
|
|
|
|
|
|
|
Full Scoreboard »» |
| New York Rangers 15-20-4, 34pts · 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 | 21 | 84 | 34 | 8,000,000$/1yrs | |||
Patrick Kane | 0 | RW | 100.00 | 57 | 32 | 91 | 75 | 67 | 86 | 84 | 73 | 59 | 78 | 76 | 54 | 75 | 87 | 86 | 0 | 36 | 84 | 37 | 3,000,000$/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 | 36 | 83 | 29 | 8,500,000$/7yrs | |||
Connor Bedard | 0 | C | 100.00 | 64 | 32 | 77 | 82 | 70 | 89 | 88 | 73 | 75 | 79 | 74 | 58 | 74 | 58 | 56 | 0 | 36 | 83 | 20 | 950,000$/1yrs | |||
Troy Terry | 0 | RW | 100.00 | 55 | 32 | 89 | 73 | 72 | 87 | 89 | 71 | 59 | 75 | 72 | 56 | 72 | 71 | 70 | 0 | 36 | 80 | 28 | 7,000,000$/4yrs | |||
William Eklund | 0 | C/LW | 100.00 | 62 | 34 | 87 | 74 | 70 | 88 | 89 | 70 | 59 | 75 | 69 | 69 | 69 | 63 | 61 | 0 | 38 | 80 | 23 | 863,333$/4yrs | |||
Logan Cooley | 0 | C | 100.00 | 64 | 32 | 86 | 73 | 66 | 84 | 89 | 70 | 77 | 73 | 74 | 60 | 72 | 60 | 58 | 0 | 36 | 80 | 21 | 950,000$/9yrs | |||
Jack Quinn | 0 | LW/RW | 100.00 | 64 | 32 | 91 | 70 | 74 | 81 | 81 | 67 | 58 | 70 | 70 | 56 | 69 | 64 | 63 | 0 | 36 | 78 | 24 | 3,375,000$/2yrs | |||
Marco Kasper | 0 | C | 100.00 | 80 | 32 | 84 | 71 | 73 | 81 | 77 | 65 | 78 | 65 | 71 | 64 | 68 | 60 | 58 | 0 | 23 | 77 | 21 | 886,667$/2yrs | |||
Alex Iafallo | 0 | C/LW | 100.00 | 62 | 34 | 95 | 63 | 77 | 79 | 90 | 63 | 59 | 63 | 65 | 76 | 64 | 78 | 77 | 0 | 37 | 76 | 32 | 5,500,000$/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 | 21 | 74 | 28 | 1,650,000$/3yrs | |||
Anthony Beauvillier | 0 | LW | 100.00 | 72 | 32 | 94 | 59 | 70 | 78 | 87 | 61 | 61 | 61 | 64 | 61 | 63 | 71 | 71 | 0 | 36 | 73 | 28 | 1,300,000$/1yrs | |||
Kris Letang | 0 | D | 100.00 | 75 | 33 | 75 | 64 | 78 | 96 | 89 | 66 | 30 | 73 | 63 | 78 | 65 | 90 | 87 | 0 | 36 | 83 | 38 | 9,500,000$/2yrs | |||
Thomas Chabot | 0 | D | 100.00 | 64 | 33 | 89 | 73 | 78 | 93 | 90 | 67 | 30 | 75 | 63 | 78 | 65 | 73 | 72 | 0 | 33 | 83 | 28 | 8,000,000$/3yrs | |||
Jacob Trouba | 0 | D | 100.00 | 84 | 45 | 67 | 61 | 82 | 91 | 88 | 64 | 30 | 64 | 54 | 85 | 59 | 78 | 83 | 0 | 37 | 79 | 31 | 8,000,000$/1yrs | |||
Brayden McNabb | 0 | D | 100.00 | 36 | 35 | 85 | 57 | 87 | 89 | 90 | 63 | 30 | 65 | 57 | 81 | 60 | 83 | 81 | 0 | 36 | 77 | 34 | 3,650,000$/3yrs | |||
Artyom Levshunov (R) | 0 | D | 100.00 | 69 | 33 | 84 | 68 | 82 | 90 | 68 | 55 | 30 | 70 | 50 | 55 | 52 | 56 | 55 | 0 | 36 | 74 | 20 | 975,000$/2yrs | |||
Denton Mateychuk (R) | 0 | D | 100.00 | 62 | 32 | 84 | 57 | 72 | 86 | 72 | 56 | 30 | 63 | 61 | 64 | 58 | 59 | 57 | 0 | 40 | 72 | 21 | 918,333$/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 | 19 | 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 | 100.00 | 65 | 34 | 85 | 68 | 75 | 85 | 85 | 65 | 53 | 70 | 66 | 65 | 66 | 71 | 69 | 0 | 32 | 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 | 34 | 91 | 27 | 8,250,000$/8yrs |
Tristan Jarry | 0 | 100.00 | 82 | 91 | 79 | 79 | 85 | 76 | 86 | 93 | 83 | 93 | 86 | 76 | 80 | 0 | 46 | 88 | 30 | 5,500,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 98.00 | 84 | 93 | 81 | 85 | 88 | 78 | 88 | 94 | 84 | 96 | 88 | 73 | 77 | 0 | 40 | 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 | 39 | 4 | 29 | 33 | -8 | 28 | 10 | 36 | 80 | 19 | 58 | 5.00% | 57 | 24.68 | 1 | 11 | 12 | 129 | 0 | 1 | 1 | 103 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
| 2 | William Eklund | 0 | C/LW | 39 | 10 | 17 | 27 | -4 | 26 | 10 | 45 | 154 | 41 | 106 | 6.49% | 8 | 18.84 | 2 | 9 | 11 | 123 | 0 | 0 | 0 | 56 | 0 | 2 | 39.61% | 207 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
| 3 | Connor Bedard | 0 | C | 39 | 12 | 14 | 26 | -6 | 24 | 0 | 80 | 138 | 34 | 100 | 8.70% | 4 | 20.05 | 3 | 3 | 6 | 140 | 0 | 0 | 0 | 28 | 4 | 1 | 49.45% | 993 | 0 | 0 | 0 | 0 | 0.66 | 1 | 2 | |
| 4 | Kris Letang | 0 | D | 39 | 3 | 19 | 22 | -10 | 46 | 0 | 111 | 67 | 25 | 34 | 4.48% | 50 | 24.66 | 1 | 7 | 8 | 132 | 0 | 0 | 0 | 93 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 5 | Troy Terry | 0 | RW | 39 | 9 | 11 | 20 | -4 | 2 | 0 | 15 | 97 | 32 | 79 | 9.28% | 2 | 17.79 | 6 | 3 | 9 | 122 | 0 | 0 | 0 | 0 | 1 | 0 | 48.00% | 50 | 0 | 0 | 1 | 0 | 0.58 | 0 | 0 | |
| 6 | Logan Cooley | 0 | C | 39 | 7 | 13 | 20 | -4 | 4 | 0 | 53 | 111 | 32 | 76 | 6.31% | 3 | 17.54 | 3 | 3 | 6 | 130 | 0 | 0 | 0 | 0 | 0 | 2 | 48.71% | 657 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 7 | Kevin Fiala | 0 | C/LW/RW | 39 | 12 | 7 | 19 | -3 | 14 | 0 | 57 | 110 | 30 | 60 | 10.91% | 6 | 20.30 | 1 | 4 | 5 | 139 | 0 | 0 | 0 | 64 | 1 | 2 | 44.67% | 150 | 0 | 0 | 0 | 0 | 0.48 | 1 | 2 | |
| 8 | Matt Duchene | 0 | C/LW/RW | 39 | 7 | 12 | 19 | -8 | 14 | 0 | 25 | 122 | 36 | 88 | 5.74% | 5 | 19.17 | 1 | 3 | 4 | 133 | 0 | 0 | 0 | 44 | 1 | 0 | 53.06% | 49 | 0 | 0 | 0 | 0 | 0.51 | 0 | 3 | |
| 9 | Jack Quinn | 0 | LW/RW | 39 | 9 | 8 | 17 | -10 | 8 | 0 | 36 | 70 | 24 | 49 | 12.86% | 2 | 15.16 | 4 | 4 | 8 | 125 | 0 | 0 | 0 | 0 | 1 | 0 | 42.42% | 33 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 10 | Patrick Kane | 0 | RW | 39 | 7 | 8 | 15 | -8 | 4 | 0 | 20 | 100 | 42 | 59 | 7.00% | 4 | 17.19 | 4 | 2 | 6 | 111 | 0 | 0 | 0 | 32 | 1 | 0 | 35.14% | 111 | 0 | 0 | 0 | 0 | 0.45 | 1 | 2 | |
| 11 | Jacob Trouba | 0 | D | 39 | 2 | 10 | 12 | -12 | 71 | 5 | 136 | 26 | 9 | 23 | 7.69% | 55 | 19.16 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 73 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 12 | Brayden McNabb | 0 | D | 39 | 3 | 8 | 11 | -12 | 0 | 0 | 0 | 31 | 8 | 19 | 9.68% | 45 | 20.49 | 1 | 0 | 1 | 27 | 0 | 0 | 0 | 97 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 13 | Marco Kasper | 0 | C | 39 | 2 | 6 | 8 | -1 | 20 | 0 | 50 | 49 | 12 | 35 | 4.08% | 3 | 13.71 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 67 | 0 | 0 | 50.53% | 659 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 14 | Alex Iafallo | 0 | C/LW | 39 | 5 | 2 | 7 | -11 | 5 | 5 | 8 | 36 | 14 | 29 | 13.89% | 13 | 10.96 | 1 | 0 | 1 | 7 | 0 | 1 | 1 | 116 | 1 | 1 | 40.84% | 502 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 15 | Keegan Kolesar | 0 | C/LW/RW | 39 | 1 | 3 | 4 | -12 | 24 | 0 | 55 | 24 | 8 | 17 | 4.17% | 2 | 7.52 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 12 | 0 | 0 | 42.86% | 42 | 0 | 0 | 0 | 0 | 0.27 | 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 | 39 | 0 | 3 | 3 | -9 | 15 | 5 | 30 | 19 | 5 | 12 | 0.00% | 37 | 13.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
| 18 | Artyom Levshunov | 0 | D | 39 | 0 | 3 | 3 | -11 | 8 | 0 | 42 | 14 | 7 | 6 | 0.00% | 15 | 12.34 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
| 19 | Anthony Beauvillier | 0 | LW | 39 | 2 | 0 | 2 | -12 | 0 | 0 | 19 | 23 | 9 | 17 | 8.70% | 5 | 9.84 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 104 | 0 | 0 | 48.00% | 25 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | |
| Team Total or Average | 716 | 95 | 176 | 271 | -150 | 315 | 35 | 825 | 1282 | 388 | 874 | 7.41% | 316 | 16.65 | 28 | 52 | 80 | 1378 | 1 | 2 | 3 | 944 | 14 | 8 | 46.97% | 3560 | 0 | 0 | 1 | 0 | 0.45 | 3 | 9 |
| 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 | 31 | 11 | 18 | 2 | 0.908 | 2.85 | 1790 | 4 | 1 | 85 | 928 | 0 | 0 | 1 | 0.500 | 4 | 31 | 6 | 2 | 0 | 2 | |
| 2 | Tristan Jarry | 10 | 4 | 2 | 2 | 0.920 | 2.25 | 560 | 0 | 0 | 21 | 261 | 0 | 0 | 2 | 0.000 | 0 | 8 | 31 | 0 | 1 | 0 | |
| Team Total or Average | 41 | 15 | 20 | 4 | 0.911 | 2.71 | 2350 | 4 | 1 | 106 | 1189 | 0 | 0 | 3 | 0.500 | 4 | 39 | 37 | 2 | 1 | 2 |
| Projected Total Cap Hit | 87,312,699$ |
| Projected Cap Space | 8,187,301$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 35,081,547$ |
| 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 | 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 | 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$ |
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 | 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 | 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 | 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 | ||||||
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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 25 | 17 | 26 | 7 | 13 | 6 | 100.0% | 8.8% | 92.6% | 101.4 | DULL | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 53 | 17 | 14 | 22 | 0 | 15 | 4 | 4 | 16 | 7 | 1 | 14.29% | 2 | 1 | 50.00% | 0 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 29 | 20 | 17 | 6 | 13 | 7 | 66.7% | 5.7% | 86.7% | 92.3 | Unlucky | |
| 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 25 | 7 | 8 | 9 | 1 | 29 | 11 | 8 | 24 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 19 | 13 | 30 | 7 | 11 | 5 | 33.3% | 4.0% | 93.1% | 97.1 | DULL | |
| 4 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 27 | 19 | 19 | 6 | 12 | 7 | 33.3% | 3.1% | 92.3% | 95.4 | DULL | |
| 5 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 48 | 34 | 46 | 13 | 24 | 12 | 40.0% | 5.6% | 89.9% | 95.4 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 50 | 36 | 46 | 13 | 23 | 11 | 60.0% | 9.6% | 93.4% | 103.1 | LUCKY | |
| 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 1 | 2 | 3 | 0 | 53 | 25 | 11 | 17 | 0 | 73 | 18 | 14 | 50 | 10 | 2 | 20.00% | 6 | 0 | 100.00% | 0 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 43 | 30 | 53 | 15 | 23 | 11 | 66.7% | 11.3% | 97.3% | 108.6 | LUCKY | |
| 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 52 | 38 | 41 | 13 | 25 | 13 | 30.0% | 5.1% | 87.0% | 92.1 | Unlucky | |
| 12 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 48 | 33 | 44 | 14 | 26 | 13 | 22.2% | 6.8% | 87.1% | 93.9 | Unlucky | |
| 13 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 52 | 35 | 43 | 15 | 26 | 13 | 28.6% | 5.8% | 88.2% | 94.0 | Unlucky | |
| 14 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 49 | 35 | 44 | 14 | 25 | 12 | 53.3% | 17.9% | 89.1% | 107.0 | FUN | |
| 15 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 47 | 31 | 46 | 15 | 26 | 12 | 0.0% | 0.0% | 88.2% | 88.2 | Unlucky | |
| 16 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 20 | 13 | 26 | 6 | 13 | 6 | 50.0% | 6.1% | 91.5% | 97.5 | DULL | |
| 17 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 1 | 28 | 11 | 6 | 9 | 5 | 24 | 3 | 6 | 23 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 27 | 19 | 23 | 8 | 14 | 7 | 0.0% | 3.6% | 91.7% | 95.2 | DULL | |
| 18 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 23 | 16 | 24 | 7 | 12 | 5 | 0.0% | 8.3% | 93.3% | 101.7 | DULL | |
| 19 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 24 | 16 | 22 | 8 | 12 | 6 | 50.0% | 7.3% | 91.7% | 99.0 | DULL | |
| 20 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 25 | 17 | 22 | 7 | 12 | 5 | 16.7% | 3.3% | 86.1% | 89.4 | Unlucky | |
| 21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 23 | 9 | 6 | 8 | 0 | 25 | 6 | 4 | 18 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 22 | 15 | 25 | 6 | 11 | 5 | 40.0% | 8.7% | 88.0% | 96.7 | Unlucky | |
| 22 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 23 | 16 | 24 | 6 | 12 | 5 | 25.0% | 7.4% | 87.1% | 94.5 | Unlucky | |
| 23 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 20 | 12 | 27 | 7 | 12 | 5 | 0.0% | 0.0% | 94.3% | 94.3 | DULL | |
| 24 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 49 | 36 | 46 | 13 | 23 | 12 | 25.0% | 5.1% | 90.1% | 95.3 | Unlucky | |
| 25 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 24 | 16 | 23 | 5 | 12 | 6 | 0.0% | 0.0% | 89.7% | 89.7 | Unlucky | |
| 26 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 53 | 38 | 44 | 14 | 24 | 12 | 62.5% | 8.0% | 93.8% | 101.8 | DULL | |
| 27 | 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 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 24 | 17 | 22 | 7 | 12 | 6 | 66.7% | 18.5% | 91.7% | 110.2 | LUCKY | |
| _Vs Division | 9 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 19 | 26 | -7 | 6 | 0.333 | 19 | 34 | 53 | 0 | 1 | 11 | 4 | 4 | 0 | 318 | 101 | 109 | 108 | 0 | 300 | 72 | 69 | 190 | 42 | 5 | 11.90% | 22 | 4 | 81.82% | 0 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 223 | 159 | 206 | 62 | 109 | 56 | 38.9% | 6.0% | 91.3% | 97.3 | DULL | |
| _Vs Conference | 19 | 6 | 8 | 0 | 1 | 3 | 0 | 1 | 44 | 49 | -5 | 18 | 0.474 | 44 | 83 | 127 | 0 | 1 | 18 | 13 | 12 | 2 | 629 | 198 | 212 | 212 | 10 | 592 | 142 | 129 | 379 | 82 | 15 | 18.29% | 51 | 5 | 90.20% | 1 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 469 | 331 | 442 | 134 | 236 | 119 | 39.7% | 7.0% | 91.7% | 98.7 | DULL | |
| _Since Last GM Reset | 39 | 12 | 20 | 0 | 2 | 3 | 1 | 1 | 93 | 110 | -17 | 34 | 0.436 | 93 | 167 | 260 | 3 | 1 | 32 | 32 | 26 | 5 | 1232 | 382 | 426 | 410 | 20 | 1192 | 315 | 305 | 795 | 155 | 27 | 17.42% | 117 | 12 | 89.74% | 1 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 954 | 666 | 912 | 278 | 489 | 246 | 40.2% | 7.5% | 90.8% | 98.3 | Unlucky | |
| Total | 39 | 12 | 20 | 0 | 2 | 3 | 1 | 1 | 93 | 110 | -17 | 34 | 0.436 | 93 | 167 | 260 | 3 | 1 | 32 | 32 | 26 | 5 | 1232 | 382 | 426 | 410 | 20 | 1192 | 315 | 305 | 795 | 155 | 27 | 17.42% | 117 | 12 | 89.74% | 1 | 658 | 1374 | 47.89% | 583 | 1279 | 45.58% | 290 | 601 | 48.25% | 954 | 666 | 912 | 278 | 489 | 246 | 40.2% | 7.5% | 90.8% | 98.3 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1374 |
| Neutral Zone Start | 601 |
| Defensive Zone Start | 1279 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1531 |
| Faceoffs Lost | 1723 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.8 | 9.57 |
| 2nd Period | 20.7 | 20.31 |
| 3rd Period | 31.2 | 30.68 |
| Overtime | 31.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 1.6 | 1.65 |
| 3rd Period | 2.3 | 2.67 |
| Overtime | 2.4 | 2.83 |
| Even Strenght Goal | 62 |
|---|---|
| PP Goal | 27 |
| PK Goal | 1 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 6 | 9 |
| Lost | 11 | 9 |
| Overtime Lost | 1 | 3 |
| PP Attempt | 155 |
|---|---|
| PP Goal | 27 |
| PK Attempt | 117 |
| PK Goal Against | 12 |
| Home | |
|---|---|
| Shots For | 31.6 |
| Shots Against | 30.6 |
| Goals For | 2.4 |
| Goals Against | 2.8 |
| Hits | 20.4 |
| Shots Blocked | 8.1 |
| Pim | 7.8 |
| 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 | @ | |||||||||||||
| 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 | 101762 | 84138 | 33176 | 66109 | 16587 |
| Attendance PCT | 94.22% | 93.49% | 92.16% | 91.82% | 92.15% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 23 | 16765 - 93.14% | 1,542,361$ | 27,762,497$ | 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 |
|---|---|---|---|
| 35,487,828$ | 458,168$ | 35,081,547$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 35,474,302$ | 114 | 463,377$ | 52,824,978$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 54,390,066$ | 87,968,333$ | 83,908,289$ | 64,992,525$ |
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 |
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||

