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New York Rangers 0-0-0, 0pts · 3rd in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 14 | LW | 100.00 | 72 | 79 | 86 | 74 | 81 | 86 | 90 | 76 | 91 | 80 | 77 | 75 | 73 | 89 | 94 | 30 | 75 | 0 | 35 | 9,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 63 | 34 | 95 | 67 | 71 | 82 | 73 | 62 | 58 | 60 | 57 | 76 | 61 | 74 | 70 | 39 | 75 | 0 | 30 | 1,000,000$/1yrs | |||
![]() | 93 | C/LW | 100.00 | 66 | 38 | 86 | 82 | 76 | 92 | 90 | 80 | 76 | 87 | 78 | 82 | 79 | 82 | 74 | 71 | 75 | 0 | 31 | 5,125,000$/5yrs | |||
![]() | 51 | C | 100.00 | 62 | 35 | 89 | 79 | 77 | 87 | 90 | 76 | 78 | 73 | 79 | 71 | 77 | 63 | 73 | 81 | 75 | 0 | 21 | 894,167$/1yrs | |||
![]() | 67 | C/LW/RW | 100.00 | 75 | 35 | 92 | 76 | 78 | 88 | 89 | 74 | 57 | 75 | 75 | 64 | 76 | 79 | 73 | 61 | 75 | 0 | 31 | 5,500,000$/4yrs | |||
![]() | 18 | LW/RW | 100.00 | 68 | 35 | 93 | 75 | 76 | 87 | 89 | 74 | 56 | 75 | 73 | 76 | 72 | 83 | 77 | 39 | 75 | 0 | 33 | 5,000,000$/1yrs | |||
![]() | 29 | C/LW | 100.00 | 63 | 38 | 90 | 77 | 88 | 89 | 90 | 79 | 76 | 78 | 82 | 67 | 79 | 83 | 78 | 46 | 75 | 0 | 32 | 6,000,000$/1yrs | |||
![]() | 95 | LW/RW | 100.00 | 60 | 37 | 91 | 77 | 85 | 86 | 78 | 73 | 54 | 75 | 69 | 66 | 76 | 75 | 71 | 66 | 75 | 0 | 29 | 5,000,000$/1yrs | |||
![]() | 21 | LW/RW | 100.00 | 91 | 76 | 68 | 66 | 83 | 80 | 90 | 64 | 60 | 63 | 62 | 81 | 58 | 77 | 75 | 26 | 75 | 0 | 32 | 2,375,000$/1yrs | |||
![]() | 88 | C/LW/RW | 100.00 | 59 | 34 | 89 | 76 | 72 | 86 | 89 | 75 | 56 | 71 | 73 | 65 | 76 | 62 | 68 | 77 | 75 | 0 | 22 | 855,833$/1yrs | |||
![]() | 20 | C/LW | 100.00 | 73 | 50 | 88 | 72 | 89 | 87 | 90 | 71 | 84 | 69 | 73 | 77 | 68 | 72 | 74 | 50 | 75 | 0 | 29 | 3,150,000$/5yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 35 | 94 | 74 | 77 | 87 | 86 | 73 | 75 | 77 | 65 | 75 | 68 | 70 | 72 | 69 | 75 | 0 | 27 | 2,800,000$/1yrs | |||
![]() | 21 | D | 100.00 | 76 | 40 | 84 | 65 | 85 | 89 | 82 | 61 | 30 | 72 | 53 | 83 | 48 | 74 | 73 | 43 | 75 | 0 | 32 | 3,400,000$/2yrs | |||
![]() | 64 | D | 100.00 | 82 | 47 | 84 | 68 | 96 | 87 | 86 | 65 | 30 | 69 | 59 | 82 | 50 | 64 | 67 | 74 | 75 | 0 | 23 | 4,600,000$/6yrs | |||
![]() | 0 | D | 100.00 | 76 | 39 | 91 | 60 | 87 | 80 | 85 | 58 | 30 | 60 | 53 | 66 | 47 | 72 | 74 | 34 | 75 | 0 | 32 | 775,000$/2yrs | |||
![]() | 72 | D | 100.00 | 70 | 36 | 80 | 78 | 81 | 95 | 82 | 76 | 30 | 81 | 73 | 64 | 62 | 70 | 73 | 71 | 75 | 0 | 27 | 8,000,000$/4yrs | |||
![]() | 44 | D | 100.00 | 71 | 44 | 72 | 77 | 74 | 94 | 86 | 78 | 30 | 86 | 74 | 66 | 59 | 71 | 69 | 58 | 75 | 0 | 27 | 7,350,000$/3yrs | |||
![]() | 5 | D | 100.00 | 61 | 35 | 79 | 69 | 75 | 87 | 62 | 64 | 30 | 63 | 57 | 72 | 50 | 66 | 67 | 56 | 75 | 0 | 27 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 11 | C/RW | 100.00 | 67 | 33 | 93 | 66 | 67 | 77 | 88 | 64 | 83 | 60 | 62 | 80 | 63 | 80 | 78 | 18 | 75 | 0 | 37 | 925,000$/1yrs | |||
![]() | 24 | C/RW | 100.00 | 71 | 33 | 95 | 79 | 65 | 88 | 90 | 76 | 74 | 78 | 75 | 77 | 79 | 63 | 69 | 85 | 75 | 0 | 22 | ||||
![]() | 0 | D | 100.00 | 73 | 42 | 70 | 63 | 83 | 80 | 85 | 59 | 30 | 58 | 62 | 64 | 50 | 65 | 66 | 69 | 75 | 0 | 24 | 787,500$/2yrs | |||
TEAM AVERAGE | 100.00 | 70 | 42 | 86 | 72 | 79 | 86 | 85 | 70 | 57 | 72 | 68 | 73 | 65 | 73 | 73 | 55 | 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 | 86 | 84 | 79 | 84 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 70 | 81 | 57 | 75 | 0 | 27 | 1,000,000$/1yrs |
![]() | 35 | 100.00 | 87 | 88 | 83 | 81 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 68 | 81 | 53 | 75 | 0 | 27 | 1,200,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 87 | 86 | 81 | 83 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 69 | 81 | 55 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter DeBoer | 83 | 92 | 95 | 90 | 84 | 78 | 64 | CAN | 56 | 2 | 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 | 77,762,416$ |
Projected Cap Space | 10,237,584$ |
Retains And Buyout Cap Hit | 1,750,000$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 26 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ginning | D/G | 24 | 787,500$ | 787,500$ | 787,500$ | RFA | |||||
Alex Vlasic | D | 23 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | RFA | |
Andre Burakovsky | LW/RW | 29 | 5,000,000$ | 5,000,000$ | |||||||
Brock Nelson ![]() | C/LW | 32 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Connor Brown | RW | 30 | 1,000,000$ | 1,000,000$ | |||||||
Derek Ryan | C/RW | 37 | 925,000$ | 925,000$ | UFA | ||||||
Garnet Hathaway | LW/RW | 32 | 2,375,000$ | 2,375,000$ | UFA | ||||||
Guillaume Brisebois | D | 27 | 775,000$ | 775,000$ | RFA | ||||||
JJ Peterka ![]() | C/LW/RW | 22 | 855,833$ | 855,833$ | |||||||
Jack Roslovic | C/RW | 27 | 2,800,000$ | 2,800,000$ | RFA | ||||||
Jamie Benn ![]() | LW | 35 | 9,500,000$ | 9,500,000$ | UFA | ||||||
Joey Daccord | D/G | 27 | 1,200,000$ | 1,200,000$ | |||||||
Justin Holl ![]() | D | 32 | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | |||||
Kaapo Kahkonen | D/G | 27 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Kevin Gravel ![]() | D | 32 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Nicholas Paul ![]() | C/LW | 29 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | ||
Reilly Smith ![]() | LW/RW | 33 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Rickard Rakell ![]() | C/LW/RW | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Ryan Nugent-Hopkins ![]() | C/LW | 31 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | ||
Seth Jarvis ![]() | C/RW | 22 | 0$ | ||||||||
Thomas Chabot | D | 27 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | ||||
Vince Dunn ![]() | D | 27 | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | |||||
Wyatt Johnston ![]() | C | 21 | 894,167$ | 894,167$ |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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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 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,412,500$ | 1,750,000$ | 77,762,416$ | 10,237,584$ |
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 |
79,412,500$ | 79,412,500$ | 0$ | 1,750,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 395,898$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 192 | 435,742$ | 83,662,464$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
85,770,804$ | 77,762,416$ | 340,860,968$ | 255,090,164$ |
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 | |||
Colton Roberts | 2024 | 107 | |||
David Moravec | 2022 | 191 | |||
Dylan Ernst | 2022 | 95 | |||
Hunter Anderson | 2023 | 209 | |||
Jakov Novak | 2018 | 191 | |||
Jakub Dvorak | 2023 | 71 | ELC 2023-24 (slide) | Link | |
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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