![]() | New York Rangers |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Stepan Vanicek | Morale : 50 | Team Overall : 68 |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | C | L | R | D | CON | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Steven Stamkos (C) | X | X | X | 100.00 | 71 | 43 | 83 | 98 | 71 | 77 | 99 | 82 | 82 | 76 | 84 | 60 | 69 | 90 | 97 | 0 | 50 | 72 | N | 0 | 35 | 1 | 6,500,000$ | ||
| 2 | Tomas Hertl | X | 100.00 | 79 | 45 | 91 | 74 | 82 | 75 | 90 | 79 | 93 | 79 | 90 | 62 | 38 | 80 | 84 | 0 | 50 | 71 | 0 | 31 | 1 | 5,600,000$ | |||||
| 3 | Zach Hyman | X | X | 100.00 | 71 | 43 | 86 | 85 | 75 | 79 | 90 | 84 | 35 | 68 | 86 | 60 | 25 | 76 | 81 | 0 | 50 | 69 | 0 | 33 | 4 | 5,700,000$ | ||||
| 4 | Warren Foegele | X | X | 100.00 | 73 | 43 | 90 | 88 | 75 | 73 | 99 | 66 | 39 | 72 | 80 | 76 | 25 | 72 | 76 | 0 | 50 | 69 | 0 | 29 | 2 | 2,700,000$ | ||||
| 5 | Alexey Toropchenko | X | X | 100.00 | 92 | 57 | 90 | 84 | 85 | 62 | 97 | 62 | 38 | 64 | 57 | 76 | 25 | 65 | 66 | 0 | 50 | 65 | 0 | 26 | 2 | 1,900,000$ | ||||
| 6 | Trevor Lewis | X | X | X | 100.00 | 82 | 45 | 89 | 71 | 75 | 56 | 77 | 59 | 54 | 60 | 59 | 68 | 59 | 87 | 93 | 0 | 50 | 62 | 0 | 38 | 2 | 2,000,000$ | |||
| 7 | Jacob Trouba | X | 100.00 | 86 | 79 | 76 | 82 | 80 | 81 | 94 | 61 | 25 | 57 | 52 | 89 | 25 | 81 | 85 | 0 | 50 | 71 | 0 | 31 | 1 | 5,100,000$ | |||||
| 8 | Darnell Nurse | X | 100.00 | 86 | 79 | 74 | 77 | 83 | 85 | 93 | 66 | 25 | 74 | 54 | 78 | 25 | 78 | 82 | 0 | 50 | 70 | 0 | 30 | 2 | 5,500,000$ | |||||
| 9 | Travis Hamonic (A) | X | 100.00 | 77 | 55 | 89 | 73 | 72 | 71 | 76 | 60 | 25 | 54 | 52 | 80 | 25 | 83 | 85 | 0 | 50 | 66 | 0 | 34 | 2 | 1,700,000$ | |||||
| 10 | Jon Merrill | X | 100.00 | 67 | 43 | 90 | 68 | 76 | 64 | 87 | 61 | 25 | 50 | 53 | 75 | 25 | 77 | 79 | 0 | 50 | 64 | 0 | 33 | 1 | 600,000$ | |||||
| Scratches | ||||||||||||||||||||||||||||||
| 1 | Patrick Kane (A) | X | X | 100.00 | 61 | 40 | 94 | 78 | 63 | 77 | 89 | 82 | 36 | 84 | 80 | 62 | 75 | 94 | 99 | 0 | 50 | 70 | 0 | 36 | 3 | 3,900,000$ | ||||
| 2 | Vinni Lettieri | X | X | X | 100.00 | 88 | 45 | 92 | 78 | 65 | 65 | 89 | 69 | 47 | 58 | 62 | 68 | 25 | 60 | 60 | 0 | 50 | 63 | 0 | 30 | 0 | 0$ | |||
| 3 | Brendan Gaunce | X | X | 100.00 | 80 | 45 | 89 | 84 | 80 | 54 | 67 | 62 | 71 | 58 | 55 | 71 | 25 | 62 | 62 | 0 | 50 | 61 | 0 | 31 | 0 | 0$ | ||||
| 4 | Ryan Pulock | X | 100.00 | 79 | 45 | 92 | 83 | 81 | 82 | 91 | 66 | 25 | 64 | 54 | 83 | 25 | 73 | 77 | 0 | 50 | 70 | 0 | 30 | 1 | 4,200,000$ | |||||
| 5 | Hampus Lindholm | X | 100.00 | 61 | 42 | 91 | 72 | 83 | 81 | 44 | 78 | 25 | 64 | 66 | 91 | 25 | 79 | 83 | 0 | 50 | 69 | 0 | 31 | 0 | 0$ | |||||
| 6 | Jonas Brodin | X | 100.00 | 65 | 42 | 88 | 70 | 73 | 86 | 69 | 61 | 25 | 72 | 54 | 79 | 25 | 82 | 86 | 0 | 50 | 66 | 0 | 31 | 0 | 0$ | |||||
| Farm Team | ||||||||||||||||||||||||||||||
| 1 | Ben McCartney | X | 100.00 | 69 | 71 | 63 | 66 | 71 | 74 | 78 | 61 | 50 | 55 | 62 | 61 | 59 | 44 | 44 | 0 | 50 | 59 | 0 | 23 | 6 | 100,000$ | |||||
| 2 | Bokondji Imama | X | 100.00 | 92 | 99 | 50 | 79 | 83 | 43 | 60 | 56 | 25 | 50 | 57 | 61 | 25 | 46 | 46 | 0 | 50 | 57 | 0 | 28 | 1 | 600,000$ | |||||
| 3 | Dylan Gambrell | X | 100.00 | 72 | 68 | 82 | 65 | 68 | 67 | 70 | 57 | 71 | 51 | 59 | 61 | 56 | 44 | 45 | 0 | 50 | 57 | 0 | 28 | 1 | 1,000,000$ | |||||
| 4 | William Dufour | X | 100.00 | 76 | 79 | 70 | 65 | 79 | 61 | 63 | 56 | 50 | 50 | 57 | 63 | 54 | 44 | 44 | 0 | 50 | 56 | 0 | 23 | 7 | 100,000$ | |||||
| 5 | Xavier Simoneau | X | 100.00 | 60 | 60 | 60 | 65 | 60 | 69 | 74 | 52 | 65 | 53 | 46 | 54 | 44 | 44 | 44 | 0 | 50 | 54 | 0 | 24 | 7 | 100,000$ | |||||
| 6 | Colby Ambrosio (R) | X | X | 100.00 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 0 | 50 | 48 | 0 | 22 | 9 | 100,000$ | ||||
| 7 | Mark Friedman | X | 100.00 | 71 | 67 | 79 | 67 | 67 | 49 | 50 | 51 | 25 | 47 | 45 | 59 | 39 | 55 | 56 | 0 | 50 | 55 | 0 | 29 | 1 | 900,000$ | |||||
| 8 | Michael Karow | X | 100.00 | 76 | 76 | 75 | 63 | 76 | 53 | 56 | 46 | 25 | 41 | 43 | 58 | 37 | 44 | 44 | 0 | 50 | 54 | 0 | 26 | 7 | 100,000$ | |||||
| 9 | Jake Massie | X | 100.00 | 80 | 74 | 93 | 61 | 74 | 40 | 39 | 44 | 25 | 34 | 46 | 59 | 40 | 44 | 44 | 0 | 50 | 52 | 0 | 28 | 5 | 100,000$ | |||||
| 10 | Patrick Kudla | X | 100.00 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 0 | 50 | 48 | 0 | 28 | 8 | 100,000$ | |||||
| 11 | Andrew Nielsen | X | 100.00 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 0 | 50 | 48 | 0 | 28 | 9 | 100,000$ | |||||
| 12 | Chaz Reddekopp | X | 100.00 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 0 | 50 | 48 | 0 | 28 | 3 | 100,000$ | |||||
| 13 | Chris Wagner | X | X | 100.00 | 85 | 90 | 85 | 76 | 72 | 47 | 88 | 59 | 55 | 50 | 56 | 73 | 63 | 69 | 73 | 0 | 50 | 61 | 0 | 34 | 0 | 0$ | ||||
| 14 | Andrew Agozzino | X | 100.00 | 67 | 65 | 72 | 68 | 65 | 69 | 70 | 64 | 50 | 60 | 65 | 61 | 62 | 44 | 44 | 0 | 50 | 59 | 0 | 34 | 0 | 0$ | |||||
| 15 | Curtis McKenzie | X | 100.00 | 72 | 76 | 64 | 66 | 76 | 77 | 82 | 57 | 50 | 50 | 59 | 61 | 56 | 44 | 45 | 0 | 50 | 58 | 0 | 34 | 0 | 0$ | |||||
| 16 | Carson Meyer | X | X | 100.00 | 72 | 69 | 80 | 65 | 69 | 54 | 52 | 63 | 50 | 60 | 62 | 63 | 59 | 44 | 44 | 0 | 50 | 57 | 0 | 28 | 2 | 800,000$ | ||||
| 17 | Jonathan Gruden | X | X | 100.00 | 70 | 70 | 69 | 65 | 70 | 59 | 61 | 54 | 68 | 47 | 56 | 60 | 53 | 44 | 44 | 0 | 50 | 55 | 0 | 25 | 2 | 800,000$ | ||||
| 18 | Cam Berg | X | X | X | 100.00 | 55 | 40 | 99 | 80 | 70 | 28 | 30 | 60 | 25 | 50 | 55 | 65 | 25 | 44 | 44 | 0 | 50 | 53 | 0 | 23 | 9 | 100,000$ | |||
| 19 | Connor Lockhart | X | 100.00 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 0 | 50 | 48 | 0 | 21 | 9 | 100,000$ | |||||
| 20 | Kirill Tyutyayev | X | X | 100.00 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 49 | 0 | 50 | 48 | 0 | 24 | 6 | 100,000$ | ||||
| 21 | Gustav Olofsson | X | 100.00 | 79 | 76 | 85 | 64 | 76 | 62 | 66 | 50 | 25 | 48 | 45 | 60 | 39 | 44 | 44 | 0 | 50 | 57 | 0 | 30 | 0 | 0$ | |||||
| TEAM AVERAGE | 100.00 | 70 | 59 | 76 | 70 | 70 | 63 | 70 | 60 | 44 | 57 | 58 | 65 | 42 | 60 | 62 | 0 | 50 | 60 | |||||||||||
| 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 | CON | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Cam Talbot | 100.00 | 83 | 81 | 80 | 83 | 90 | 76 | 79 | 82 | 77 | 82 | 71 | 72 | 74 | 0 | 50 | 69 | 0 | 38 | 1 | 8,100,000$ | ||
| Scratches | ||||||||||||||||||||||||
| 1 | Filip Gustavsson | 100.00 | 92 | 89 | 85 | 72 | 92 | 91 | 84 | 92 | 92 | 92 | 85 | 61 | 62 | 0 | 50 | 72 | 0 | 27 | 1 | 5,200,000$ | ||
| Farm Team | ||||||||||||||||||||||||
| 1 | Ivan Fedotov | 100.00 | 72 | 84 | 80 | 89 | 75 | 68 | 79 | 74 | 75 | 72 | 85 | 46 | 46 | 0 | 50 | 64 | 0 | 28 | 2 | 1,200,000$ | ||
| TEAM AVERAGE | 100.00 | 82 | 85 | 82 | 81 | 86 | 78 | 81 | 83 | 81 | 82 | 80 | 60 | 61 | 0 | 50 | 68 | |||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Peter Laviolette | 70 | 70 | 70 | 70 | 70 | 70 | 70 | USA | 60 | 1 | 100,000$ |
| 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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| 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 |
|---|
| 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 | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexey Toropchenko | New York Rangers | LW/RW | 26 | 1999-06-25 | RUS | No | 222 Lbs | 6 ft6 | No | No | Free Agent | No | No | 2 | 2024-09-27 | False | False | Pro Only | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | No | 1,900,000$ | - | - | - | - | - | - | - | - | 1,900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Brendan Gaunce | New York Rangers | C/RW | 31 | 1994-03-25 | CAN | No | 219 Lbs | 6 ft3 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||||
| Cam Talbot | New York Rangers | G | 38 | 1987-07-05 | CAN | No | 200 Lbs | 6 ft4 | No | No | Free Agent | No | No | 1 | 2024-11-21 | False | False | Pro Only | 8,100,000$ | 8,100,000$ | 8,100,000$ | 8,100,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Darnell Nurse | New York Rangers | D | 30 | 1995-02-04 | CAN | No | 215 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro Only | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | No | 5,500,000$ | - | - | - | - | - | - | - | - | 5,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Filip Gustavsson | New York Rangers | G | 27 | 1998-07-07 | SWE | No | 184 Lbs | 6 ft2 | No | No | Free Agent | No | No | 1 | 2025-10-21 | False | False | Pro Only | 5,200,000$ | 5,200,000$ | 5,200,000$ | 5,200,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Hampus Lindholm | New York Rangers | D | 31 | 1994-01-20 | SWE | No | 224 Lbs | 6 ft4 | No | No | Trade | 2025-01-14 | No | No | 0 | 2025-01-14 | False | False | Pro Only | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Jacob Trouba | New York Rangers | D | 31 | 1994-02-26 | USA | No | 212 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro Only | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Jon Merrill | New York Rangers | D | 33 | 1992-02-03 | USA | No | 204 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro Only | 600,000$ | 600,000$ | 600,000$ | 600,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Jonas Brodin | New York Rangers | D | 31 | 1993-07-12 | SWE | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 0 | False | False | Pro Only | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||||
| Patrick Kane | New York Rangers | LW/RW | 36 | 1988-07-07 | USA | No | 177 Lbs | 5 ft10 | No | No | N/A | No | No | 3 | 2025-10-10 | False | False | Pro Only | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | No | 3,900,000$ | 3,900,000$ | - | - | - | - | - | - | - | 3,900,000$ | 3,900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Ryan Pulock | New York Rangers | D | 30 | 1994-10-06 | CAN | No | 220 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro Only | 4,200,000$ | 4,200,000$ | 4,200,000$ | 4,200,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Steven Stamkos | New York Rangers | C/LW/RW | 35 | 1990-02-07 | CAN | No | 193 Lbs | 6 ft1 | Yes | No | N/A | No | No | 1 | False | False | Pro Only | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Tomas Hertl | New York Rangers | C | 31 | 1993-11-12 | CZE | No | 220 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro Only | 5,600,000$ | 5,600,000$ | 5,600,000$ | 5,600,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Travis Hamonic | New York Rangers | D | 34 | 1990-08-16 | CAN | No | 195 Lbs | 6 ft0 | No | No | Free Agent | No | No | 2 | 2024-11-21 | False | False | Pro Only | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | No | 1,700,000$ | - | - | - | - | - | - | - | - | 1,700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Trevor Lewis | New York Rangers | C/LW/RW | 38 | 1987-01-08 | USA | No | 205 Lbs | 6 ft1 | No | No | Free Agent | No | No | 2 | 2024-11-21 | False | False | Pro Only | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | 2,000,000$ | - | - | - | - | - | - | - | - | 2,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Vinni Lettieri | New York Rangers | C/LW/RW | 30 | 1995-02-06 | USA | No | 184 Lbs | 5 ft10 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||||
| Warren Foegele | New York Rangers | LW/RW | 29 | 1996-04-01 | CAN | No | 204 Lbs | 6 ft2 | No | No | Free Agent | 2024-09-06 | No | No | 2 | 2024-10-10 | False | False | Pro Only | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | No | 2,700,000$ | - | - | - | - | - | - | - | - | 2,700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link |
| Zach Hyman | New York Rangers | LW/RW | 33 | 1992-06-09 | CAN | No | 206 Lbs | 6 ft1 | No | No | Free Agent | No | No | 4 | 2024-10-16 | False | False | Pro Only | 5,700,000$ | 5,700,000$ | 5,700,000$ | 5,700,000$ | No | 5,700,000$ | 5,700,000$ | 5,700,000$ | - | - | - | - | - | - | 5,700,000$ | 5,700,000$ | 5,700,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 18 | 31.89 | 204 Lbs | 6 ft2 | 1.33 | 3,261,111$ |
| Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
|---|---|---|---|---|
| 58,700,000$ | 23,400,000$ | 9,600,000$ | 5,700,000$ | 0$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 34 | 1 | 2 | 2 | |||
| 2 | Steven Stamkos | Tomas Hertl | Zach Hyman | 33 | 1 | 2 | 2 |
| 3 | Warren Foegele | Trevor Lewis | 23 | 1 | 2 | 2 | |
| 4 | Alexey Toropchenko | 10 | 1 | 3 | 1 | ||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Darnell Nurse | 34 | 1 | 2 | 2 | ||
| 2 | Jacob Trouba | Travis Hamonic | 33 | 1 | 2 | 2 | |
| 3 | Jon Merrill | 33 | 1 | 2 | 2 | ||
| 4 | Darnell Nurse | Jacob Trouba | 0 | 1 | 2 | 2 | |
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Warren Foegele | Steven Stamkos | 51 | 1 | 2 | 2 | |
| 2 | Tomas Hertl | Zach Hyman | 49 | 1 | 2 | 2 | |
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Darnell Nurse | 51 | 1 | 2 | 2 | ||
| 2 | Jacob Trouba | 49 | 1 | 2 | 2 | ||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Trevor Lewis | 60 | 1 | 2 | 2 | |
| 2 | Tomas Hertl | Alexey Toropchenko | 40 | 1 | 2 | 2 |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Darnell Nurse | 60 | 1 | 2 | 2 | |
| 2 | Jacob Trouba | Travis Hamonic | 40 | 1 | 2 | 2 |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Trevor Lewis | 60 | 1 | 2 | 2 | Darnell Nurse | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | Jacob Trouba | Travis Hamonic | 40 | 1 | 2 | 2 | |
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Steven Stamkos | Zach Hyman | 60 | 1 | 2 | 2 |
| 2 | Tomas Hertl | 40 | 1 | 2 | 2 | |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Darnell Nurse | Jacob Trouba | 60 | 1 | 2 | 2 |
| 2 | 40 | 1 | 2 | 2 | ||
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Zach Hyman | Steven Stamkos | Darnell Nurse | ||
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Tomas Hertl | Trevor Lewis | Jacob Trouba | ||
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Steven Stamkos, Zach Hyman, | Steven Stamkos, | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Darnell Nurse, Jacob Trouba, | Darnell Nurse | Darnell Nurse, Jacob Trouba |
| Penalty Shots |
|---|
| , , Zach Hyman, Steven Stamkos, |
| Goalie |
|---|
| #1 : Cam Talbot, #2 : |
| 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 |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 0 | 0 | 0% | 0 | 0 | 0% | 0 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
|---|
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
| Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
| Capacity | 8000 | 4000 | 5000 | 2000 | 1000 |
| Ticket Price | 113 | 67 | 46 | 35 | 220 |
| Attendance | 0% | 0% | 0% | 0% | 0% |
| Attendance PCT | 0% | 0% | 0% | 0% | 0% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 41 | 0 - 0% | 0$ | 0$ | 20000 | 131 |
| Expenses | ||||
|---|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
| 0$ | 58,700,000$ | 58,700,000$ | 100,000$0$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|---|
| 0$ | 0$ | 0$ | 14 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 0$ | 0$ |
| Team Total Estimate | ||
|---|---|---|
| Estimated Season Expenses | Current Bank Account | Projected Bank Account |
| 0$ | 29,521,008$ | 29,521,008$ |
| Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
|---|---|---|---|
| 0$ | 74,000,000$ | 74,000,000$ | -44,000,000$ |
| Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| 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 | Last Trade Date | Link |
|---|---|---|---|---|---|---|
| Hugo Alnefelt | New York Rangers | 0 | 0 | |||
| Jan Golicic | New York Rangers | 0 | 0 | |||
| Karl Henriksson | New York Rangers | 0 | 0 | |||
| Lukas Parik | New York Rangers | 0 | 0 | |||
| Manix Landry | New York Rangers | 0 | 0 | |||
| Ryan Conmy | New York Rangers | 0 | 0 | |||
| Yevgeni Kashnikov | New York Rangers | 0 | 0 |
| Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
|---|---|---|---|---|---|---|---|
| 25 | | | | | | | |
| 26 | | | | | | | |
| 27 | | | | | | | |
| 28 | | | | | | | |
| 29 | | | | | | | |
| Conditional Draft Picks | |||||||
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|