DETROIT RED WINGS | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Jay W | Morale : 50 | Team Overall : 77 |
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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 | Artem Anisimov (C) | X | X | 100.00 | 29 | 6 | 99 | 97 | 98 | 99 | 94 | 99 | 74 | 99 | 99 | 97 | 71 | 99 | 99 | 0 | 80 | 90 | 0 | 35 | 4 | 2,310,798$ | |||
2 | Henrik Sedin | X | X | 100.00 | 53 | 12 | 94 | 92 | 91 | 98 | 91 | 90 | 83 | 88 | 95 | 82 | 68 | 99 | 89 | 0 | 80 | 85 | 1 | 43 | 1 | 2,050,000$ | |||
3 | Taylor Hall | X | X | 100.00 | 37 | 1 | 99 | 83 | 79 | 92 | 98 | 99 | 65 | 99 | 99 | 75 | 79 | 99 | 97 | 0 | 80 | 85 | 1 | 32 | 4 | 2,388,750$ | |||
4 | Daniel Sedin | X | 100.00 | 50 | 13 | 89 | 86 | 93 | 91 | 97 | 99 | 53 | 92 | 88 | 79 | 90 | 99 | 91 | 0 | 80 | 84 | 1 | 43 | 2 | 3,039,213$ | ||||
5 | Kasperi Kapanen | X | X | X | 100.00 | 46 | 10 | 90 | 87 | 81 | 99 | 96 | 97 | 63 | 87 | 84 | 76 | 69 | 99 | 97 | 0 | 80 | 82 | 2 | 27 | 3 | 1,800,000$ | ||
6 | Casey Mittelstadt | X | X | X | 100.00 | 49 | 1 | 96 | 97 | 95 | 92 | 93 | 80 | 55 | 89 | 88 | 68 | 58 | 88 | 72 | 0 | 80 | 80 | 1 | 25 | 2 | 1,150,000$ | ||
7 | Boo Nieves | X | X | 100.00 | 99 | 95 | 22 | 74 | 79 | 90 | 85 | 95 | 51 | 89 | 85 | 77 | 56 | 89 | 84 | 0 | 79 | 80 | 2 | 29 | 2 | 1,000,000$ | |||
8 | Stefan Legein | X | 100.00 | 74 | 55 | 64 | 62 | 72 | 67 | 78 | 94 | 50 | 88 | 87 | 85 | 60 | 99 | 99 | 0 | 63 | 78 | 2 | 35 | 0 | 0$ | ||||
9 | Mikhail Grigorenko | X | 100.00 | 35 | 24 | 82 | 62 | 81 | 92 | 85 | 86 | 56 | 98 | 96 | 60 | 66 | 84 | 93 | 0 | 80 | 78 | 2 | 30 | 5 | 1,296,338$ | ||||
10 | Nikita Scherbak | X | 100.00 | 99 | 88 | 17 | 68 | 75 | 85 | 83 | 95 | 59 | 81 | 88 | 63 | 64 | 86 | 85 | 0 | 79 | 77 | 2 | 28 | 1 | 1,005,000$ | ||||
11 | Michael Dal Colle | X | 100.00 | 55 | 32 | 72 | 77 | 78 | 84 | 85 | 84 | 48 | 85 | 80 | 74 | 58 | 81 | 83 | 0 | 81 | 76 | 2 | 27 | 2 | 1,000,000$ | ||||
12 | Jason Zucker | X | 100.00 | 96 | 99 | 25 | 63 | 74 | 74 | 80 | 89 | 52 | 87 | 89 | 66 | 59 | 93 | 91 | 0 | 80 | 76 | 2 | 31 | 4 | 1,391,250$ | ||||
13 | Mark Pysyk | X | 100.00 | 87 | 88 | 32 | 70 | 82 | 88 | 78 | 96 | 49 | 93 | 87 | 85 | 53 | 81 | 92 | 0 | 79 | 81 | 2 | 31 | 4 | 900,000$ | ||||
14 | Jared Spurgeon | X | 100.00 | 7 | 1 | 99 | 59 | 73 | 77 | 78 | 99 | 50 | 99 | 99 | 81 | 61 | 99 | 99 | 0 | 80 | 76 | 0 | 34 | 2 | 1,249,000$ | ||||
15 | Julius Honka | X | 100.00 | 43 | 15 | 94 | 66 | 75 | 83 | 87 | 86 | 45 | 77 | 73 | 79 | 51 | 84 | 77 | 0 | 80 | 73 | 2 | 28 | 2 | 1,007,500$ | ||||
16 | Michael Stone | X | 100.00 | 99 | 99 | 1 | 58 | 81 | 79 | 77 | 63 | 59 | 61 | 51 | 93 | 46 | 82 | 82 | 0 | 77 | 73 | 0 | 33 | 4 | 1,121,875$ | ||||
17 | Madison Bowey | X | 100.00 | 21 | 1 | 99 | 64 | 80 | 82 | 80 | 74 | 41 | 80 | 62 | 73 | 44 | 72 | 82 | 0 | 79 | 68 | 2 | 29 | 2 | 1,056,250$ | ||||
18 | Tyler Wotherspoon | X | 100.00 | 51 | 22 | 87 | 60 | 78 | 62 | 77 | 72 | 44 | 65 | 65 | 74 | 43 | 93 | 90 | 0 | 79 | 68 | 2 | 31 | 2 | 933,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Stefan Della Rovere | X | 100.00 | 3 | 1 | 99 | 57 | 76 | 87 | 86 | 87 | 77 | 84 | 87 | 75 | 76 | 99 | 99 | 0 | 67 | 75 | 0 | 34 | 1 | 1,762,000$ | ||||
2 | Matthew Stienburg (R) | X | 100.00 | 64 | 14 | 43 | 71 | 74 | 65 | 65 | 55 | 67 | 61 | 56 | 56 | 55 | 62 | 59 | 0 | 20 | 60 | 2 | 22 | 1 | 500,000$ | ||||
3 | Joni Jurmo (R) | X | 100.00 | 13 | 1 | 79 | 63 | 77 | 63 | 68 | 57 | 44 | 51 | 38 | 63 | 44 | 53 | 62 | 0 | 20 | 57 | 2 | 21 | 0 | 0$ | ||||
TEAM AVERAGE | 100.00 | 53 | 32 | 71 | 72 | 81 | 83 | 84 | 86 | 56 | 83 | 81 | 75 | 61 | 88 | 87 | 0 | 73 | 76 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jonathan Quick | 100.00 | 58 | 90 | 90 | 81 | 76 | 90 | 92 | 98 | 94 | 81 | 86 | 99 | 96 | 0 | 80 | 85 | 2 | 38 | 3 | 1,837,275$ | |
2 | Jake Oettinger | 100.00 | 83 | 92 | 90 | 84 | 86 | 89 | 88 | 89 | 86 | 85 | 66 | 81 | 73 | 0 | 80 | 84 | 1 | 25 | 2 | 650,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 71 | 91 | 90 | 83 | 81 | 90 | 90 | 94 | 90 | 83 | 76 | 90 | 85 | 0 | 80 | 85 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Andy Murray | 68 | 80 | 84 | 85 | 99 | 99 | 25 | CAN | 69 | 2 | 1,554,300$ |
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 | 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 |
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Artem Anisimov | DETROIT RED WINGS | C/LW | 35 | 1988-05-24 | No | 213 Lbs | 6 ft4 | No | No | N/A | No | No | 4 | 2024-04-08 | False | False | Pro Only | 2,310,798$ | 2,310,798$ | 2,310,798$ | 2,310,798$ | No | 2,310,798$ | 2,310,798$ | 2,310,798$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Boo Nieves | DETROIT RED WINGS | C/LW | 29 | 1994-09-10 | No | 224 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro Only | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Casey Mittelstadt | DETROIT RED WINGS | C/LW/RW | 25 | 1998-11-22 | No | 216 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro Only | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | No | 1,150,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Daniel Sedin | DETROIT RED WINGS | LW | 43 | 1980-09-26 | No | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,039,213$ | 3,039,213$ | 3,039,213$ | 3,039,213$ | No | 3,039,213$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
Henrik Sedin | DETROIT RED WINGS | C/RW | 43 | 1980-09-26 | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | 2024-02-10 | False | False | Pro Only | 2,050,000$ | 2,050,000$ | 2,050,000$ | 2,050,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
Jake Oettinger | DETROIT RED WINGS | G | 25 | 1998-12-18 | No | 221 Lbs | 6 ft7 | No | No | N/A | No | No | 2 | False | False | Pro Only | 650,000$ | 650,000$ | 650,000$ | 650,000$ | No | 650,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jared Spurgeon | DETROIT RED WINGS | D | 34 | 1989-11-29 | No | 205 Lbs | 5 ft9 | No | No | N/A | No | Yes | 2 | False | False | Pro & Farm | 1,249,000$ | 1,249,000$ | 1,249,000$ | 1,249,000$ | No | 1,249,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jason Zucker | DETROIT RED WINGS | LW | 31 | 1992-07-26 | No | 202 Lbs | 6 ft0 | No | No | N/A | No | Yes | 4 | 2024-02-27 | False | False | Pro & Farm | 1,391,250$ | 1,391,250$ | 1,391,250$ | 1,391,250$ | No | 1,391,250$ | 1,391,250$ | 1,391,250$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Jonathan Quick | DETROIT RED WINGS | G | 38 | 1986-01-21 | No | 221 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro Only | 1,837,275$ | 1,837,275$ | 1,837,275$ | 1,837,275$ | No | 1,837,275$ | 1,837,275$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | ||
Joni Jurmo | DETROIT RED WINGS | D | 21 | 2002-06-01 | Yes | 208 Lbs | 6 ft3 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||
Julius Honka | DETROIT RED WINGS | D | 28 | 1995-12-03 | No | 197 Lbs | 6 ft1 | No | No | N/A | No | Yes | 2 | False | False | Pro & Farm | 1,007,500$ | 1,007,500$ | 1,007,500$ | 1,007,500$ | No | 1,007,500$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Kasperi Kapanen | DETROIT RED WINGS | C/LW/RW | 27 | 1996-07-23 | No | 207 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro Only | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | No | 1,800,000$ | 1,800,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Madison Bowey | DETROIT RED WINGS | D | 29 | 1995-04-22 | No | 221 Lbs | 6 ft2 | No | No | N/A | No | Yes | 2 | False | False | Pro & Farm | 1,056,250$ | 1,056,250$ | 1,056,250$ | 1,056,250$ | No | 1,056,250$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Mark Pysyk | DETROIT RED WINGS | D | 31 | 1992-06-30 | No | 229 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | False | False | Pro Only | 900,000$ | 900,000$ | 900,000$ | 900,000$ | No | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Matthew Stienburg | DETROIT RED WINGS | C | 22 | 2001-06-01 | Yes | 187 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 500,000$ | 500,000$ | 500,000$ | 500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Michael Dal Colle | DETROIT RED WINGS | LW | 27 | 1996-06-20 | No | 205 Lbs | 6 ft4 | No | No | N/A | No | Yes | 2 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Michael Stone | DETROIT RED WINGS | D | 33 | 1990-06-07 | No | 231 Lbs | 6 ft3 | No | No | N/A | No | Yes | 4 | 2024-02-27 | False | False | Pro & Farm | 1,121,875$ | 1,121,875$ | 1,121,875$ | 1,121,875$ | No | 1,121,875$ | 1,121,875$ | 1,121,875$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Mikhail Grigorenko | DETROIT RED WINGS | C | 30 | 1994-05-16 | No | 223 Lbs | 6 ft6 | No | No | N/A | No | Yes | 5 | 2024-02-27 | False | False | Pro & Farm | 1,296,338$ | 1,296,338$ | 1,296,338$ | 1,296,338$ | No | 1,296,338$ | 1,296,338$ | 1,296,338$ | 1,296,338$ | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
Nikita Scherbak | DETROIT RED WINGS | RW | 28 | 1995-12-30 | No | 197 Lbs | 6 ft3 | No | No | N/A | No | Yes | 1 | False | False | Pro & Farm | 1,005,000$ | 1,005,000$ | 1,005,000$ | 1,005,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Stefan Della Rovere | DETROIT RED WINGS | LW | 34 | 1990-02-25 | No | 220 Lbs | 5 ft11 | No | No | N/A | No | Yes | 1 | False | False | Pro & Farm | 1,762,000$ | 1,762,000$ | 1,762,000$ | 1,762,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Stefan Legein | DETROIT RED WINGS | RW | 35 | 1988-11-24 | No | 201 Lbs | 5 ft10 | No | No | N/A | No | Yes | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||
Taylor Hall | DETROIT RED WINGS | C/LW | 32 | 1991-11-14 | No | 219 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | 2024-02-10 | False | False | Pro & Farm | 2,388,750$ | 2,388,750$ | 2,388,750$ | 2,388,750$ | No | 2,388,750$ | 2,388,750$ | 2,388,750$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Tyler Wotherspoon | DETROIT RED WINGS | D | 31 | 1993-03-12 | No | 217 Lbs | 6 ft1 | No | No | N/A | No | Yes | 2 | False | False | Pro & Farm | 933,000$ | 933,000$ | 933,000$ | 933,000$ | No | 933,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
23 | 30.91 | 211 Lbs | 6 ft2 | 2.30 | 1,280,359$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
29,448,249$ | 24,131,249$ | 13,046,286$ | 9,409,011$ | 1,296,338$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Taylor Hall | Artem Anisimov | Kasperi Kapanen | 40 | 0 | 1 | 4 |
2 | Jason Zucker | Casey Mittelstadt | Nikita Scherbak | 30 | 0 | 1 | 4 |
3 | Daniel Sedin | Henrik Sedin | Mikhail Grigorenko | 20 | 0 | 2 | 3 |
4 | Michael Dal Colle | Boo Nieves | Stefan Legein | 10 | 0 | 2 | 3 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Julius Honka | Michael Stone | 40 | 0 | 2 | 3 | |
2 | Mark Pysyk | Jared Spurgeon | 30 | 0 | 2 | 3 | |
3 | Tyler Wotherspoon | Madison Bowey | 20 | 0 | 2 | 3 | |
4 | Mark Pysyk | Jared Spurgeon | 10 | 0 | 2 | 3 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Taylor Hall | Artem Anisimov | Kasperi Kapanen | 60 | 0 | 1 | 4 |
2 | Jason Zucker | Casey Mittelstadt | Nikita Scherbak | 40 | 0 | 1 | 4 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Jared Spurgeon | Mark Pysyk | 60 | 0 | 1 | 4 | |
2 | Michael Stone | Julius Honka | 40 | 0 | 1 | 4 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Artem Anisimov | Taylor Hall | 60 | 0 | 4 | 1 |
2 | Daniel Sedin | Henrik Sedin | 40 | 0 | 4 | 1 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Michael Stone | Mark Pysyk | 60 | 1 | 2 | 2 |
2 | Julius Honka | Jared Spurgeon | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Artem Anisimov | 60 | 0 | 5 | 0 | Michael Stone | Jared Spurgeon | 60 | 1 | 2 | 2 |
2 | Henrik Sedin | 40 | 0 | 5 | 0 | Mark Pysyk | Julius Honka | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Mikhail Grigorenko | Michael Dal Colle | 60 | 1 | 2 | 2 |
2 | Boo Nieves | Henrik Sedin | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Michael Stone | Mark Pysyk | 60 | 1 | 2 | 2 |
2 | Madison Bowey | Julius Honka | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Taylor Hall | Artem Anisimov | Henrik Sedin | Mark Pysyk | Julius Honka |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Daniel Sedin | Artem Anisimov | Henrik Sedin | Mark Pysyk | Michael Stone |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Daniel Sedin, Henrik Sedin, Mikhail Grigorenko | Henrik Sedin, Daniel Sedin | Kasperi Kapanen |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Tyler Wotherspoon, Michael Stone, Madison Bowey | Madison Bowey | Tyler Wotherspoon, Madison Bowey |
Penalty Shots |
---|
Artem Anisimov, Taylor Hall, Kasperi Kapanen, Henrik Sedin, Daniel Sedin |
Goalie |
---|
#1 : Jake Oettinger, #2 : Jonathan Quick |
Custom OT Lines Forwards |
---|
Artem Anisimov, Taylor Hall, Henrik Sedin, Daniel Sedin, Mikhail Grigorenko, Kasperi Kapanen, Kasperi Kapanen, Casey Mittelstadt, Jason Zucker, Boo Nieves, Nikita Scherbak |
Custom OT Lines Defensemen |
---|
Michael Stone, Mark Pysyk, Jared Spurgeon, Julius Honka, Madison Bowey |
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 | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 125 | 75 | 40 | 30 | 250 |
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 |
42 | 0 - 0% | 0$ | 0$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
0$ | 29,448,249$ | 720,000$ | 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$ | 21 | 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$ | 214,452,702$ | 214,452,702$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 45,000,000$ | 45,000,000$ | -15,000,000$ |
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 |
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Year | R1 | R2 | R3 | R4 | R5 |
---|---|---|---|---|---|
13 | |||||
14 | |||||
15 | |||||
16 | |||||
17 | |||||
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 |
---|