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New York Rangers 0-0-0, 0pts |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 23 | LW/RW | 100.00 | 71 | 38 | 90 | 78 | 89 | 86 | 88 | 74 | 57 | 72 | 81 | 76 | 78 | 84 | 81 | 42 | 75 | 0 | 34 | ||||
![]() | 14 | LW | 100.00 | 73 | 79 | 78 | 74 | 85 | 86 | 90 | 76 | 89 | 78 | 71 | 72 | 74 | 89 | 95 | 28 | 75 | 0 | 35 | ||||
![]() | 10 | RW | 100.00 | 60 | 34 | 95 | 69 | 71 | 82 | 89 | 63 | 57 | 64 | 62 | 77 | 65 | 76 | 73 | 38 | 75 | 0 | 31 | ||||
![]() | 93 | C/LW | 100.00 | 64 | 35 | 88 | 77 | 76 | 86 | 90 | 78 | 80 | 83 | 72 | 82 | 79 | 85 | 76 | 56 | 75 | 0 | 32 | 5,125,000$/4yrs | |||
![]() | 51 | C | 100.00 | 64 | 35 | 89 | 76 | 74 | 88 | 90 | 77 | 80 | 78 | 81 | 79 | 83 | 64 | 74 | 81 | 75 | 0 | 22 | 8,400,000$/5yrs | |||
![]() | 67 | C/LW/RW | 100.00 | 74 | 35 | 93 | 80 | 76 | 88 | 89 | 75 | 57 | 76 | 77 | 64 | 75 | 82 | 74 | 48 | 75 | 0 | 32 | 5,500,000$/3yrs | |||
![]() | 29 | C/LW | 100.00 | 62 | 37 | 91 | 75 | 87 | 89 | 90 | 77 | 78 | 76 | 79 | 71 | 74 | 85 | 79 | 42 | 75 | 0 | 33 | ||||
![]() | 42 | LW/RW | 100.00 | 93 | 76 | 67 | 68 | 83 | 80 | 88 | 64 | 58 | 62 | 63 | 82 | 56 | 79 | 75 | 23 | 75 | 0 | 33 | ||||
![]() | 88 | C/LW/RW | 100.00 | 61 | 34 | 88 | 80 | 72 | 87 | 90 | 79 | 53 | 76 | 78 | 65 | 81 | 64 | 70 | 75 | 75 | 0 | 23 | ||||
![]() | 20 | C/LW | 100.00 | 73 | 50 | 88 | 72 | 89 | 87 | 90 | 71 | 84 | 69 | 73 | 77 | 68 | 72 | 74 | 50 | 75 | 0 | 30 | 3,150,000$/4yrs | |||
![]() | 24 | C/RW | 100.00 | 73 | 33 | 94 | 80 | 67 | 90 | 89 | 76 | 74 | 78 | 82 | 85 | 79 | 65 | 71 | 84 | 75 | 0 | 23 | 7,420,000$/7yrs | |||
![]() | 27 | C/RW | 100.00 | 60 | 35 | 94 | 74 | 77 | 85 | 86 | 73 | 81 | 72 | 71 | 64 | 73 | 72 | 71 | 67 | 75 | 0 | 28 | ||||
![]() | 6 | D | 100.00 | 72 | 57 | 74 | 65 | 94 | 89 | 87 | 62 | 30 | 71 | 59 | 78 | 52 | 69 | 71 | 54 | 75 | 0 | 27 | 4,000,000$/5yrs | |||
![]() | 3 | D | 100.00 | 71 | 52 | 73 | 63 | 85 | 87 | 90 | 62 | 30 | 71 | 54 | 89 | 47 | 86 | 76 | 40 | 75 | 0 | 36 | ||||
![]() | 28 | D | 100.00 | 65 | 36 | 94 | 64 | 82 | 85 | 88 | 62 | 30 | 73 | 57 | 71 | 52 | 80 | 71 | 64 | 75 | 0 | 30 | 3,500,000$/3yrs | |||
![]() | 64 | D | 100.00 | 67 | 48 | 89 | 68 | 96 | 93 | 90 | 66 | 30 | 75 | 57 | 87 | 50 | 64 | 67 | 72 | 75 | 0 | 24 | 4,600,000$/5yrs | |||
![]() | 72 | D | 100.00 | 67 | 36 | 89 | 77 | 80 | 94 | 85 | 74 | 30 | 81 | 71 | 76 | 58 | 72 | 75 | 71 | 75 | 0 | 28 | 8,000,000$/3yrs | |||
![]() | 44 | D | 100.00 | 64 | 44 | 72 | 76 | 73 | 93 | 83 | 77 | 30 | 84 | 74 | 65 | 59 | 73 | 71 | 56 | 75 | 0 | 28 | 7,350,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 56 | C/RW | 100.00 | 92 | 56 | 66 | 68 | 75 | 82 | 88 | 66 | 58 | 71 | 60 | 64 | 63 | 66 | 67 | 59 | 75 | 0 | 25 | 1,000,000$/1yrs | |||
![]() | 71 | RW | 100.00 | 82 | 80 | 65 | 63 | 92 | 78 | 75 | 61 | 65 | 60 | 62 | 61 | 57 | 70 | 72 | 36 | 75 | 0 | 28 | 775,000$/1yrs | |||
![]() | 21 | D | 100.00 | 69 | 37 | 89 | 66 | 85 | 83 | 81 | 62 | 30 | 67 | 53 | 69 | 48 | 75 | 73 | 42 | 75 | 0 | 33 | 3,400,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 70 | 46 | 84 | 72 | 81 | 87 | 87 | 70 | 56 | 73 | 68 | 74 | 65 | 75 | 74 | 54 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 31 | 100.00 | 79 | 85 | 80 | 84 | 78 | 77 | 79 | 78 | 77 | 79 | 78 | 71 | 83 | 54 | 75 | 0 | 28 | |
![]() | 35 | 100.00 | 94 | 92 | 87 | 81 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 71 | 83 | 56 | 75 | 0 | 28 | 5,000,000$/5yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 87 | 89 | 84 | 83 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 71 | 83 | 55 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter DeBoer | 77 | 89 | 93 | 88 | 85 | 79 | 62 | CAN | 58 | 1 | 4,250,000$ |
General Manager | Mathieu Pelletier |
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Priority | Type | Description |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 |
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Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 16 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Vlasic | D | 24 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | RFA | ||
Brock Nelson ![]() | C/LW | 33 | 0$ | UFA | |||||||
Chris Kreider ![]() | LW/RW/G | 34 | 0$ | UFA | |||||||
Connor Brown | RW | 31 | 0$ | ||||||||
Garnet Hathaway | LW/RW | 33 | 0$ | UFA | |||||||
Ian Cole | D | 36 | 0$ | UFA | |||||||
JJ Peterka ![]() | C/LW/RW | 23 | 0$ | ||||||||
Jack Roslovic | C/RW | 28 | 0$ | RFA | |||||||
Jamie Benn ![]() | LW | 35 | 0$ | UFA | |||||||
Joey Daccord | D/G | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||
Johnathan Kovacevic | D | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||
Justin Holl ![]() | D | 33 | 3,400,000$ | 3,400,000$ | UFA | ||||||
Kaapo Kahkonen | D/G | 28 | 0$ | RFA | |||||||
Martin Pospisil | C/RW/G | 25 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Nicholas Paul ![]() | C/LW | 30 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | |||
Olli Maatta ![]() | D | 30 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Rickard Rakell ![]() | C/LW/RW | 32 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Ryan Nugent-Hopkins ![]() | C/LW | 32 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | |||
Seth Jarvis ![]() | C/RW | 23 | 7,420,000$ | 7,420,000$ | 7,420,000$ | 7,420,000$ | 7,420,000$ | 7,420,000$ | 7,420,000$ | 7,420,000$ | |
Thomas Chabot | D | 28 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | |||||
Vince Dunn ![]() | D | 28 | 7,350,000$ | 7,350,000$ | 7,350,000$ | RFA | |||||
Wyatt Johnston | C | 22 | 8,400,000$ | 8,400,000$ | 8,400,000$ | 8,400,000$ | 8,400,000$ | 8,400,000$ | |||
Zack MacEwen | RW | 28 | 775,000$ | 775,000$ | RFA |
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Goalies | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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Total | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Date | Matchup | Result | Detail |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
68,857,500$ | 0$ | 0$ | 88,000,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Madison Square Garden | |
City | New York | ||
Capacity | 18200 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1200 |
Ticket Price | 150$ | 125$ | 85$ | 60$ | 225$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18200 | 150 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
68,857,500$ | 67,220,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 370,984,257$ | 370,984,257$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 |
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Brad Gardiner | 2023 | 166 | |||
David Moravec | 2022 | 191 | |||
Dylan Ernst | 2022 | 95 | |||
Gunnarwolfe Fontaine | 2020 | 116 | |||
Hunter Anderson | 2023 | 209 | |||
Jakov Novak | 2018 | 191 | |||
John Stout | 2024 | 203 | |||
John Whipple | 2024 | 170 | |||
Jonathan Myrenberg | 2021 | 148 | |||
Kent Anderson | 2022 | 223 | |||
Kirill Dolzhenkov | 2022 | 47 | |||
Leo Sahlin Wallenius | 2024 | 43 | |||
Leon Muggli | 2024 | 75 | |||
Matthew Mania | 2023 | 113 | |||
Niilopekka Muhonen | 2024 | 139 | |||
Oliver Johansson | 2021 | 84 | |||
Owen Beckner | 2023 | 177 | |||
Petter Vesterheim | 2023 | 112 | |||
Tanner Molendyk | 2023 | 37 | ELC 2023-24 (slide) | Link | |
Viktor Hurtig | 2021 | 180 | |||
William Francis | 2019 | 156 | |||
Zaccharya Wisdom | 2023 | 197 | |||
Zachary Schulz | 2023 | 145 |
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