Rangers | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : David Lech | Morale : 50 | Team Overall : 68 |
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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 |
# | Player Name | C | L | R | D | CON | 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 | 37 | 72 | 82 | 74 | 84 | 93 | 91 | 82 | 83 | 91 | 67 | 93 | 80 | 86 | 0 | 50 | 75 | N | 0 | 34 | 2 | 6,500,000$ | |
2 | Brock Nelson | X | 100.00 | 65 | 36 | 77 | 80 | 82 | 84 | 94 | 86 | 72 | 77 | 84 | 69 | 88 | 78 | 74 | 0 | 50 | 73 | 0 | 32 | 1 | 2,800,000$ | ||||
3 | Patrick Kane (A) | X | 100.00 | 62 | 34 | 79 | 82 | 66 | 84 | 78 | 83 | 50 | 84 | 83 | 63 | 88 | 84 | 79 | 0 | 50 | 71 | N | 0 | 35 | 1 | 5,600,000$ | |||
4 | Tomas Hertl | X | X | 100.00 | 72 | 37 | 75 | 80 | 82 | 88 | 80 | 77 | 91 | 75 | 76 | 77 | 79 | 74 | 69 | 0 | 50 | 71 | 0 | 30 | 2 | 5,600,000$ | |||
5 | Boone Jenner | X | 100.00 | 80 | 40 | 73 | 80 | 79 | 88 | 82 | 80 | 89 | 64 | 81 | 80 | 82 | 74 | 69 | 0 | 50 | 71 | 0 | 31 | 1 | 3,500,000$ | ||||
6 | Darnell Nurse | X | 100.00 | 80 | 43 | 58 | 71 | 83 | 88 | 94 | 67 | 30 | 67 | 65 | 83 | 59 | 70 | 63 | 0 | 50 | 70 | 0 | 29 | 3 | 5,500,000$ | ||||
7 | Jacob Trouba | X | 100.00 | 86 | 53 | 56 | 68 | 80 | 87 | 88 | 64 | 30 | 68 | 59 | 86 | 57 | 72 | 66 | 0 | 50 | 70 | 0 | 30 | 2 | 5,100,000$ | ||||
8 | Jonas Brodin | X | 100.00 | 63 | 36 | 78 | 72 | 76 | 91 | 84 | 63 | 30 | 70 | 64 | 86 | 56 | 74 | 67 | 0 | 50 | 70 | 0 | 31 | 1 | 3,900,000$ | ||||
9 | Ryan Pulock | X | 100.00 | 77 | 38 | 82 | 68 | 80 | 90 | 82 | 60 | 30 | 66 | 62 | 84 | 54 | 72 | 65 | 0 | 50 | 69 | 0 | 29 | 2 | 4,200,000$ | ||||
10 | Ryan Graves | X | 100.00 | 71 | 38 | 74 | 65 | 86 | 82 | 88 | 56 | 30 | 61 | 59 | 81 | 52 | 70 | 63 | 0 | 50 | 67 | 0 | 29 | 3 | 4,000,000$ | ||||
11 | Jon Merrill | X | 100.00 | 66 | 37 | 74 | 67 | 79 | 72 | 86 | 54 | 30 | 58 | 60 | 68 | 53 | 76 | 68 | 0 | 50 | 64 | 0 | 32 | 2 | 600,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Zach Hyman | X | X | X | 100.00 | 72 | 38 | 71 | 80 | 77 | 87 | 93 | 89 | 56 | 69 | 98 | 68 | 85 | 76 | 71 | 0 | 50 | 73 | 0 | 32 | 0 | 0$ | ||
2 | Mats Zuccarello | X | X | 100.00 | 64 | 38 | 74 | 83 | 64 | 85 | 88 | 85 | 57 | 93 | 64 | 69 | 93 | 86 | 79 | 0 | 50 | 71 | 0 | 37 | 0 | 0$ | |||
3 | Evander Kane | X | 100.00 | 90 | 49 | 57 | 76 | 81 | 82 | 92 | 77 | 67 | 67 | 76 | 67 | 74 | 78 | 73 | 0 | 50 | 69 | 0 | 33 | 0 | 0$ | ||||
4 | Warren Foegele | X | X | 100.00 | 72 | 40 | 73 | 80 | 78 | 76 | 94 | 74 | 55 | 67 | 70 | 70 | 69 | 68 | 61 | 0 | 50 | 67 | 0 | 28 | 0 | 0$ | |||
5 | Brandon Tanev | X | X | 100.00 | 82 | 55 | 63 | 74 | 72 | 78 | 86 | 68 | 53 | 59 | 59 | 81 | 69 | 78 | 72 | 0 | 50 | 66 | 0 | 32 | 0 | 0$ | |||
6 | Alexey Toropchenko | X | 100.00 | 80 | 41 | 79 | 74 | 87 | 74 | 94 | 67 | 50 | 56 | 64 | 74 | 64 | 62 | 54 | 0 | 50 | 65 | 0 | 25 | 3 | 1,900,000$ | ||||
7 | Dylan Gambrell | X | 100.00 | 62 | 36 | 78 | 62 | 71 | 49 | 59 | 52 | 63 | 51 | 52 | 60 | 56 | 68 | 60 | 0 | 50 | 55 | 0 | 28 | 2 | 1,000,000$ | ||||
8 | Brent Burns (A) | X | 100.00 | 65 | 35 | 75 | 72 | 88 | 88 | 94 | 67 | 30 | 76 | 65 | 77 | 60 | 90 | 80 | 0 | 50 | 71 | 0 | 39 | 0 | 0$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Vinni Lettieri | X | X | 100.00 | 73 | 39 | 73 | 72 | 68 | 68 | 76 | 65 | 69 | 56 | 59 | 69 | 65 | 70 | 62 | 0 | 50 | 62 | 0 | 29 | 1 | 900,000$ | |||
2 | Brendan Gaunce | X | X | 100.00 | 77 | 40 | 74 | 70 | 82 | 72 | 65 | 62 | 77 | 55 | 55 | 65 | 59 | 72 | 65 | 0 | 50 | 61 | 0 | 30 | 1 | 1,200,000$ | |||
3 | Chris Wagner | X | X | 100.00 | 75 | 45 | 70 | 70 | 72 | 65 | 62 | 63 | 79 | 53 | 52 | 63 | 58 | 78 | 71 | 0 | 50 | 60 | 0 | 33 | 1 | 1,200,000$ | |||
4 | Carson Meyer | X | 100.00 | 77 | 42 | 75 | 70 | 69 | 68 | 63 | 63 | 50 | 53 | 52 | 60 | 60 | 66 | 57 | 0 | 50 | 59 | 0 | 27 | 1 | 800,000$ | ||||
5 | Jonathan Gruden (R) | X | 100.00 | 77 | 49 | 71 | 70 | 68 | 67 | 62 | 61 | 53 | 51 | 52 | 65 | 62 | 60 | 50 | 0 | 50 | 58 | 0 | 24 | 1 | 800,000$ | ||||
6 | Andrew Agozzino | X | X | 100.00 | 60 | 37 | 76 | 66 | 67 | 50 | 60 | 59 | 39 | 59 | 58 | 58 | 60 | 78 | 71 | 0 | 50 | 58 | 0 | 33 | 1 | 1,200,000$ | |||
7 | Curtis McKenzie | X | X | X | 100.00 | 58 | 59 | 65 | 60 | 78 | 48 | 58 | 56 | 35 | 58 | 52 | 56 | 61 | 78 | 70 | 0 | 50 | 56 | 0 | 33 | 1 | 1,200,000$ | ||
8 | Xavier Simoneau | X | 100.00 | 67 | 55 | 65 | 64 | 62 | 47 | 56 | 53 | 42 | 54 | 49 | 56 | 57 | 58 | 49 | 0 | 50 | 54 | 0 | 23 | 8 | 100,000$ | ||||
9 | Karl Henriksson | X | X | 100.00 | 56 | 35 | 82 | 63 | 65 | 44 | 58 | 48 | 45 | 46 | 51 | 56 | 55 | 58 | 48 | 0 | 50 | 52 | 0 | 23 | 8 | 100,000$ | |||
10 | William Dufour | X | 100.00 | 58 | 35 | 77 | 56 | 81 | 44 | 56 | 49 | 39 | 45 | 53 | 57 | 61 | 56 | 47 | 0 | 50 | 52 | 0 | 22 | 8 | 100,000$ | ||||
11 | Ben McCartney | X | 100.00 | 64 | 58 | 62 | 59 | 74 | 46 | 54 | 48 | 40 | 48 | 46 | 57 | 57 | 58 | 48 | 0 | 50 | 52 | 0 | 23 | 7 | 100,000$ | ||||
12 | Kirill Tyutyayev | X | X | 100.00 | 56 | 35 | 73 | 55 | 66 | 43 | 48 | 42 | 45 | 43 | 40 | 55 | 47 | 60 | 50 | 0 | 50 | 49 | 0 | 24 | 7 | 100,000$ | |||
13 | Gustav Olofsson | X | 100.00 | 60 | 35 | 80 | 65 | 77 | 76 | 60 | 50 | 30 | 51 | 55 | 66 | 49 | 72 | 63 | 0 | 50 | 60 | 0 | 29 | 1 | 900,000$ | ||||
14 | Jake Massie | X | 100.00 | 54 | 35 | 82 | 55 | 76 | 50 | 50 | 44 | 30 | 44 | 42 | 60 | 49 | 66 | 56 | 0 | 50 | 54 | 0 | 27 | 6 | 100,000$ | ||||
15 | Chaz Reddekopp | X | 100.00 | 56 | 48 | 68 | 50 | 84 | 50 | 59 | 43 | 30 | 43 | 42 | 56 | 45 | 66 | 56 | 0 | 50 | 53 | 0 | 27 | 4 | 100,000$ | ||||
16 | Mark Friedman | X | 100.00 | 72 | 42 | 68 | 67 | 70 | 71 | 65 | 49 | 30 | 53 | 55 | 69 | 50 | 70 | 61 | 0 | 50 | 61 | 0 | 28 | 2 | 900,000$ | ||||
17 | Logan Day | X | 100.00 | 57 | 43 | 71 | 56 | 78 | 50 | 56 | 49 | 30 | 50 | 46 | 62 | 51 | 72 | 63 | 0 | 50 | 56 | 0 | 30 | 10 | 100,000$ | ||||
18 | Michael Karow | X | 100.00 | 56 | 35 | 78 | 54 | 79 | 50 | 59 | 46 | 30 | 48 | 43 | 63 | 48 | 64 | 55 | 0 | 50 | 55 | 0 | 25 | 8 | 100,000$ | ||||
19 | Patrick Kudla | X | 100.00 | 51 | 35 | 85 | 54 | 77 | 50 | 59 | 50 | 30 | 53 | 45 | 55 | 49 | 68 | 60 | 0 | 50 | 54 | 0 | 28 | 9 | 100,000$ | ||||
TEAM AVERAGE | 100.00 | 73 | 40 | 72 | 75 | 78 | 82 | 87 | 72 | 52 | 69 | 70 | 74 | 70 | 75 | 69 | 0 | 50 | 69 |
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 | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | |||||||||||||||||||||||
1 | Cam Talbot | 100.00 | 83 | 89 | 89 | 82 | 86 | 81 | 86 | 86 | 86 | 82 | 73 | 86 | 81 | 0 | 50 | 72 | 0 | 37 | 0 | 0$ | |
2 | Filip Gustavsson | 100.00 | 77 | 83 | 80 | 73 | 82 | 69 | 77 | 75 | 78 | 79 | 70 | 64 | 57 | 0 | 50 | 65 | 0 | 26 | 1 | 2,400,000$ | |
3 | Ivan Fedotov | 100.00 | 46 | 62 | 42 | 95 | 66 | 59 | 52 | 51 | 51 | 55 | 57 | 68 | 61 | 0 | 50 | 56 | 0 | 27 | 1 | 900,000$ | |
Farm Team | |||||||||||||||||||||||
1 | Hugo Alnefelt | 100.00 | 57 | 64 | 65 | 78 | 63 | 51 | 56 | 58 | 58 | 62 | 60 | 58 | 49 | 0 | 50 | 55 | 0 | 23 | 7 | 100,000$ | |
TEAM AVERAGE | 100.00 | 69 | 78 | 70 | 83 | 78 | 70 | 72 | 71 | 72 | 72 | 67 | 73 | 66 | 0 | 50 | 64 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 |
# | 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 |
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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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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 | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contrat Signature Date | 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 | 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 |
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Alexey Toropchenko | Rangers | RW | 25 | 07.07.1999 | No | 222 Lbs | 6 ft6 | No | No | Free Agent | No | No | 3 | 27.09.2024 | Pro Only | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | No | 1,900,000$ | 1,900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Boone Jenner | Rangers | C | 31 | 07.07.1993 | No | 208 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro Only | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||
Brandon Tanev | Rangers | LW/RW | 32 | 07.07.1992 | No | 189 Lbs | 6 ft0 | No | No | N/A | No | No | 0 | Pro Only | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||||
Brent Burns | Rangers | D | 39 | 07.07.1985 | No | 230 Lbs | 6 ft5 | No | No | N/A | No | No | 0 | Pro Only | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||||
Brock Nelson | Rangers | C | 32 | 07.07.1992 | No | 210 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | Pro Only | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
Cam Talbot | Rangers | G | 37 | 07.07.1987 | No | 200 Lbs | 6 ft4 | No | No | N/A | No | No | 0 | Pro Only | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||||
Darnell Nurse | Rangers | D | 29 | 07.07.1995 | No | 215 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | Pro Only | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | No | 5,500,000$ | 5,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | ||
Dylan Gambrell | Rangers | C | 28 | 07.07.1996 | No | 185 Lbs | 6 ft0 | No | No | Free Agent | No | No | 2 | 27.09.2024 | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
Evander Kane | Rangers | LW | 33 | 07.07.1991 | No | 218 Lbs | 6 ft2 | No | No | N/A | No | No | 0 | Pro Only | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||||
Filip Gustavsson | Rangers | G | 26 | 07.07.1998 | No | 184 Lbs | 6 ft2 | No | No | Free Agent | No | No | 1 | 27.09.2024 | Pro Only | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Ivan Fedotov | Rangers | G | 27 | 07.07.1997 | No | 214 Lbs | 6 ft7 | No | No | Free Agent | No | No | 1 | 27.09.2024 | Pro & Farm | 900,000$ | 900,000$ | 900,000$ | 900,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Jacob Trouba | Rangers | D | 30 | 07.07.1994 | No | 209 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro Only | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | No | 5,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Jon Merrill | Rangers | D | 32 | 07.07.1992 | No | 204 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro Only | 600,000$ | 600,000$ | 600,000$ | 600,000$ | No | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Jonas Brodin | Rangers | D | 31 | 07.07.1993 | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro Only | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||
Mats Zuccarello | Rangers | LW/RW | 37 | 07.07.1987 | No | 181 Lbs | 5 ft8 | No | No | N/A | No | No | 0 | Pro Only | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||||
Patrick Kane | Rangers | RW | 35 | 07.07.1989 | No | 177 Lbs | 5 ft10 | Yes | No | N/A | No | No | 1 | Pro Only | 5,600,000$ | 5,600,000$ | 5,600,000$ | 5,600,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||
Ryan Graves | Rangers | D | 29 | 07.07.1995 | No | 220 Lbs | 6 ft5 | No | No | N/A | No | No | 3 | Pro Only | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | No | 4,000,000$ | 4,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | ||
Ryan Pulock | Rangers | D | 29 | 07.07.1995 | No | 216 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro Only | 4,200,000$ | 4,200,000$ | 4,200,000$ | 4,200,000$ | No | 4,200,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Steven Stamkos | Rangers | C/LW/RW | 34 | 07.07.1990 | No | 193 Lbs | 6 ft1 | Yes | No | N/A | No | No | 2 | Pro Only | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | No | 6,500,000$ | - | - | - | - | - | - | - | - | Yes | - | - | - | - | - | - | - | - | NHL Link | ||
Tomas Hertl | Rangers | C/LW | 30 | 07.07.1994 | No | 215 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro Only | 5,600,000$ | 5,600,000$ | 5,600,000$ | 5,600,000$ | No | 5,600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Warren Foegele | Rangers | C/LW | 28 | 07.07.1996 | No | 204 Lbs | 6 ft2 | No | No | Trade | 06.09.2024 | No | No | 0 | Pro Only | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
Zach Hyman | Rangers | C/LW/RW | 32 | 07.07.1992 | No | 206 Lbs | 6 ft1 | No | No | N/A | No | No | 0 | Pro Only | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 31.18 | 204 Lbs | 6 ft2 | 1.23 | 2,431,818$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
53,500,000$ | 34,400,000$ | 11,400,000$ | 0$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Brock Nelson | Steven Stamkos | 32 | 1 | 2 | 2 | |
2 | Tomas Hertl | 31 | 1 | 2 | 2 | ||
3 | Boone Jenner | Patrick Kane | 30 | 1 | 2 | 2 | |
4 | Jon Merrill | 7 | 1 | 3 | 1 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Ryan Graves | 35 | 1 | 2 | 2 | ||
2 | Darnell Nurse | Jonas Brodin | 33 | 1 | 2 | 2 | |
3 | Jacob Trouba | Ryan Pulock | 32 | 1 | 3 | 1 | |
4 | Jonas Brodin | Jacob Trouba | 0 | 1 | 3 | 1 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Brock Nelson | Steven Stamkos | Patrick Kane | 55 | 0 | 0 | 5 |
2 | Tomas Hertl | 45 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Boone Jenner | 50 | 1 | 1 | 3 | ||
2 | Darnell Nurse | 50 | 1 | 1 | 3 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Boone Jenner | 55 | 1 | 4 | 0 | |
2 | Brock Nelson | 45 | 1 | 4 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Darnell Nurse | Jonas Brodin | 50 | 1 | 4 | 0 |
2 | Jacob Trouba | Ryan Pulock | 50 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 55 | 1 | 4 | 0 | Darnell Nurse | Jonas Brodin | 50 | 0 | 5 | 0 | |
2 | Boone Jenner | 45 | 1 | 4 | 0 | Jacob Trouba | Ryan Pulock | 50 | 0 | 5 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Steven Stamkos | Brock Nelson | 50 | 1 | 2 | 2 |
2 | Tomas Hertl | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jacob Trouba | 50 | 1 | 2 | 2 | |
2 | Darnell Nurse | Jonas Brodin | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Brock Nelson | Steven Stamkos | Tomas Hertl |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Boone Jenner | Darnell Nurse | Jacob Trouba |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , | Brock Nelson |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jon Merrill, Jacob Trouba, Ryan Pulock | Jacob Trouba | Ryan Graves, |
Penalty Shots |
---|
Steven Stamkos, , Boone Jenner, , Patrick Kane |
Goalie |
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#1 : , #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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 | 115 | 69 | 48 | 37 | 230 |
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 | 144 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 53,500,000$ | 53,500,000$ | 0$ | 120,000$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 15 | 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$ | 23,082,237$ | 23,082,237$ |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
---|---|---|---|---|---|---|
Andrew Nielsen | Rangers | 0 | 0 | |||
Cameron Berg | Rangers | 0 | 0 | |||
Colby Ambrosio | Rangers | 0 | 0 | |||
Connor Lockhart | Rangers | 0 | 0 | |||
Jack Kopacka | Rangers | 0 | 0 | |||
Jakob Stukel | Rangers | 0 | 0 | |||
Jeremy Helvig | Rangers | 0 | 0 | |||
Linus Nassen | Rangers | 0 | 0 | |||
Lukas Parik | Rangers | 0 | 0 | |||
Manix Landry | Rangers | 0 | 0 | |||
Ryan Conmy | Rangers | 0 | 0 | |||
Yegor Serdyuk | Rangers | 0 | 0 | |||
Yevgeni Kashnikov | Rangers | 0 | 0 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
24 | |||||||
25 | |||||||
26 | |||||||
27 | |||||||
28 | |||||||
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 |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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