![]() | BANGOR BEAGLES |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Clint T | Morale : 80 | Team Overall : 82 |
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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 | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Filip Forsberg (A) | X | X | X | 100.00 | 61 | 1 | 99 | 96 | 94 | 94 | 95 | 99 | 78 | 99 | 99 | 81 | 69 | 99 | 99 | 0 | 80 | 89 | 2 | 31 | 2 | 2,460,350$ | |||
| 2 | Evgeni Malkin (A) | X | X | X | 100.00 | 61 | 1 | 99 | 85 | 79 | 95 | 96 | 99 | 76 | 99 | 99 | 98 | 80 | 99 | 99 | 0 | 80 | 89 | 2 | 39 | 4 | 3,267,000$ | |||
| 3 | Alex Ovechkin | X | X | 100.00 | 48 | 6 | 99 | 90 | 84 | 89 | 89 | 99 | 30 | 99 | 96 | 90 | 88 | 99 | 99 | 0 | 80 | 87 | 2 | 40 | 3 | 2,761,300$ | ||||
| 4 | Anton Lundell | X | X | X | 100.00 | 49 | 4 | 96 | 95 | 95 | 99 | 94 | 92 | 68 | 92 | 89 | 83 | 60 | 99 | 99 | 0 | 80 | 86 | 1 | 24 | 3 | 900,000$ | |||
| 5 | Matt Duchene (C) | X | X | X | 100.00 | 2 | 1 | 99 | 88 | 78 | 95 | 96 | 99 | 95 | 99 | 99 | 81 | 75 | 99 | 99 | 0 | 80 | 86 | 0 | 35 | 1 | 3,395,490$ | |||
| 6 | Martin Nečas | X | X | X | 100.00 | 33 | 1 | 99 | 88 | 87 | 99 | 93 | 98 | 57 | 99 | 99 | 81 | 57 | 99 | 99 | 0 | 80 | 86 | 1 | 27 | 4 | 2,887,500$ | |||
| 7 | Tyson Jost | X | X | 100.00 | 36 | 1 | 99 | 82 | 83 | 91 | 95 | 99 | 59 | 97 | 93 | 70 | 50 | 99 | 98 | 0 | 80 | 83 | 1 | 28 | 4 | 2,262,500$ | ||||
| 8 | Jordan Kyrou | X | X | X | 100.00 | 4 | 7 | 90 | 85 | 79 | 89 | 95 | 98 | 68 | 99 | 96 | 57 | 61 | 99 | 99 | 0 | 80 | 81 | 2 | 28 | 4 | 2,175,000$ | |||
| 9 | Alex Tuch | X | X | 100.00 | 40 | 1 | 99 | 78 | 85 | 93 | 97 | 87 | 49 | 86 | 81 | 58 | 55 | 99 | 99 | 0 | 80 | 78 | 2 | 30 | 2 | 1,334,000$ | ||||
| 10 | Tyler Seguin | X | X | 100.00 | 1 | 1 | 99 | 62 | 76 | 81 | 86 | 98 | 80 | 83 | 81 | 77 | 75 | 99 | 99 | 0 | 80 | 76 | 2 | 34 | 2 | 2,292,000$ | ||||
| 11 | Nikita Filatov | X | 100.00 | 1 | 1 | 99 | 60 | 77 | 65 | 80 | 93 | 23 | 87 | 86 | 77 | 76 | 99 | 99 | 0 | 80 | 75 | 0 | 36 | 2 | 2,700,000$ | |||||
| 12 | Ryan Donato | X | X | X | 100.00 | 23 | 1 | 99 | 76 | 76 | 85 | 83 | 82 | 73 | 81 | 80 | 70 | 56 | 99 | 99 | 0 | 80 | 75 | 2 | 30 | 1 | 978,000$ | |||
| 13 | Zach Werenski | X | 100.00 | 51 | 1 | 99 | 96 | 91 | 99 | 95 | 99 | 44 | 99 | 99 | 75 | 56 | 99 | 99 | 0 | 80 | 86 | 1 | 29 | 5 | 3,594,063$ | |||||
| 14 | Keith Yandle | X | 100.00 | 47 | 10 | 99 | 78 | 76 | 99 | 95 | 95 | 50 | 99 | 86 | 99 | 64 | 99 | 99 | 0 | 80 | 84 | 2 | 39 | 2 | 4,575,000$ | |||||
| 15 | Jonathan Blum | X | 100.00 | 27 | 1 | 99 | 95 | 84 | 87 | 80 | 95 | 40 | 99 | 99 | 83 | 62 | 99 | 99 | 0 | 80 | 83 | 0 | 37 | 3 | 3,652,015$ | |||||
| 16 | Jamie Drysdale | X | 100.00 | 58 | 19 | 85 | 94 | 95 | 98 | 97 | 89 | 40 | 79 | 70 | 66 | 55 | 99 | 99 | 0 | 80 | 80 | 1 | 24 | 3 | 800,000$ | |||||
| 17 | Shayne Gostisbehere | X | 100.00 | 98 | 75 | 13 | 63 | 84 | 80 | 96 | 82 | 39 | 82 | 60 | 74 | 47 | 99 | 90 | 0 | 80 | 76 | 2 | 31 | 2 | 1,500,000$ | |||||
| Scratches | ||||||||||||||||||||||||||||||
| 1 | Dylan Holloway (R) | X | X | 100.00 | 68 | 28 | 72 | 86 | 89 | 96 | 94 | 88 | 71 | 89 | 79 | 75 | 68 | 91 | 95 | 0 | 82 | 81 | 1 | 24 | 3 | 1,000,000$ | ||||
| 2 | Vladislav Namestnikov | X | X | 100.00 | 74 | 57 | 53 | 64 | 74 | 78 | 90 | 80 | 58 | 80 | 74 | 71 | 59 | 99 | 90 | 0 | 80 | 73 | 2 | 33 | 0 | 0$ | ||||
| TEAM AVERAGE | 100.00 | 41 | 11 | 89 | 82 | 83 | 90 | 92 | 93 | 58 | 92 | 88 | 77 | 64 | 99 | 98 | 0 | 80 | 82 | |||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | CON | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mackenzie Blackwood | 100.00 | 68 | 96 | 92 | 87 | 84 | 92 | 97 | 98 | 92 | 80 | 75 | 99 | 99 | 0 | 80 | 88 | 1 | 29 | 3 | 1,950,000$ | ||
| Scratches | ||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 68 | 96 | 92 | 87 | 84 | 92 | 97 | 98 | 92 | 80 | 75 | 99 | 99 | 0 | 80 | 88 | |||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Todd McLellan | 93 | 90 | 82 | 85 | 99 | 99 | 23 | CAN | 54 | 4 | 1,100,000$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Player Name | Team Name | POS | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Ovechkin | BANGOR BEAGLES | LW/RW | 40 | 1985-09-17 | RUS | No | 244 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2025-01-13 | False | False | Pro Only | 2,761,300$ | 2,761,300$ | 2,761,300$ | 2,761,300$ | No | 2,761,300$ | 2,761,300$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | |
| Alex Tuch | BANGOR BEAGLES | C/RW | 30 | 1996-05-10 | USA | No | 244 Lbs | 6 ft5 | No | No | Trade | 2025-02-10 | No | No | 2 | False | False | Pro & Farm | 1,334,000$ | 1,334,000$ | 1,334,000$ | 1,334,000$ | No | 1,334,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Anton Lundell | BANGOR BEAGLES | C/LW/RW | 24 | 2001-10-03 | FIN | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2025-03-04 | False | False | Pro Only | 900,000$ | 900,000$ | 900,000$ | 900,000$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Dylan Holloway | BANGOR BEAGLES | C/LW | 24 | 2001-09-23 | CAN | Yes | 221 Lbs | 6 ft2 | No | No | Trade | 2025-07-13 | No | No | 3 | 2026-04-08 | False | False | Pro Only | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |
| Evgeni Malkin | BANGOR BEAGLES | C/LW/RW | 39 | 1986-07-31 | RUS | No | 211 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | 2025-03-31 | False | False | Pro Only | 3,267,000$ | 3,267,000$ | 3,267,000$ | 3,267,000$ | No | 3,267,000$ | 3,267,000$ | 3,267,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | NHL Link | |
| Filip Forsberg | BANGOR BEAGLES | C/LW/RW | 31 | 1994-08-13 | SWE | No | 222 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | 2025-11-03 | False | False | Pro Only | 2,460,350$ | 2,460,350$ | 2,460,350$ | 2,460,350$ | No | 2,460,350$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Jamie Drysdale | BANGOR BEAGLES | D | 24 | 2002-04-08 | CAN | No | 181 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | 2024-06-09 | False | False | Pro Only | 800,000$ | 800,000$ | 800,000$ | 800,000$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Jonathan Blum | BANGOR BEAGLES | D | 37 | 1989-01-30 | USA | No | 198 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | 2025-03-31 | False | False | Pro Only | 3,652,015$ | 3,652,015$ | 3,652,015$ | 3,652,015$ | No | 3,652,015$ | 3,652,015$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Jordan Kyrou | BANGOR BEAGLES | C/LW/RW | 28 | 1998-05-05 | CAN | No | 217 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | 2025-03-31 | False | False | Pro Only | 2,175,000$ | 2,175,000$ | 2,175,000$ | 2,175,000$ | No | 2,175,000$ | 2,175,000$ | 2,175,000$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
| Keith Yandle | BANGOR BEAGLES | D | 39 | 1986-09-09 | USA | No | 209 Lbs | 6 ft1 | No | No | Trade | 2024-03-04 | No | No | 2 | 2026-03-14 | False | False | Pro Only | 4,575,000$ | 4,575,000$ | 4,575,000$ | 4,575,000$ | No | 4,575,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
| Mackenzie Blackwood | BANGOR BEAGLES | G | 29 | 1996-12-09 | CAN | No | 242 Lbs | 6 ft6 | No | No | N/A | No | No | 3 | 2024-03-16 | False | False | Pro Only | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | No | 1,950,000$ | 1,950,000$ | - | - | - | - | - | - | - | 40,000$ | 40,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Martin Nečas | BANGOR BEAGLES | C/LW/RW | 27 | 1999-01-15 | CZE | No | 200 Lbs | 6 ft3 | No | No | Trade | 2026-03-05 | No | No | 4 | 2025-03-22 | False | False | Pro Only | 2,887,500$ | 2,887,500$ | 2,887,500$ | 2,887,500$ | No | 2,887,500$ | 2,887,500$ | 2,887,500$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Matt Duchene | BANGOR BEAGLES | C/LW/RW | 35 | 1991-01-16 | CAN | No | 224 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro Only | 3,395,490$ | 3,395,490$ | 3,395,490$ | 3,395,490$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| Nikita Filatov | BANGOR BEAGLES | LW | 36 | 1990-05-25 | RUS | No | 213 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2026-03-14 | False | False | Pro & Farm | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | No | 2,700,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Ryan Donato | BANGOR BEAGLES | C/LW/RW | 30 | 1996-04-09 | USA | No | 206 Lbs | 6 ft1 | No | No | Trade | 2025-02-10 | No | No | 1 | 2024-06-10 | False | False | Pro & Farm | 978,000$ | 978,000$ | 978,000$ | 978,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Shayne Gostisbehere | BANGOR BEAGLES | D | 31 | 1994-09-12 | USA | No | 244 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | ||
| Tyler Seguin | BANGOR BEAGLES | C/RW | 34 | 1992-01-31 | CAN | No | 207 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro Only | 2,292,000$ | 2,292,000$ | 2,292,000$ | 2,292,000$ | No | 2,292,000$ | - | - | - | - | - | - | - | - | 40,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Tyson Jost | BANGOR BEAGLES | C/LW | 28 | 1998-03-14 | CAN | No | 207 Lbs | 5 ft11 | No | No | Trade | 2026-03-05 | No | No | 4 | 2025-11-05 | False | False | Pro Only | 2,262,500$ | 2,262,500$ | 2,262,500$ | 2,262,500$ | No | 2,262,500$ | 2,262,500$ | 2,262,500$ | - | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Vladislav Namestnikov | BANGOR BEAGLES | C/LW | 33 | 1992-11-22 | RUS | No | 196 Lbs | 6 ft0 | No | No | N/A | No | No | 0 | 2025-07-01 | False | False | Pro Only | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
| Zach Werenski | BANGOR BEAGLES | D | 29 | 1997-06-19 | USA | No | 235 Lbs | 6 ft4 | No | No | N/A | No | No | 5 | 2026-03-14 | False | False | Pro Only | 3,594,063$ | 3,594,063$ | 3,594,063$ | 3,594,063$ | No | 3,594,063$ | 3,594,063$ | 3,594,063$ | 3,594,063$ | - | - | - | - | - | 40,000$ | 40,000$ | 40,000$ | 40,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 20 | 31.40 | 216 Lbs | 6 ft2 | 2.65 | 2,224,211$ |
| Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
|---|---|---|---|---|
| 44,484,218$ | 40,110,728$ | 25,249,378$ | 14,186,063$ | 3,594,063$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Evgeni Malkin | Matt Duchene | Alex Ovechkin | 35 | 1 | 2 | 2 |
| 2 | Tyson Jost | Filip Forsberg | Martin Nečas | 35 | 1 | 2 | 2 |
| 3 | Anton Lundell | Jordan Kyrou | Alex Tuch | 25 | 1 | 2 | 2 |
| 4 | Nikita Filatov | Tyler Seguin | Ryan Donato | 5 | 1 | 3 | 1 |
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Zach Werenski | Keith Yandle | 40 | 1 | 2 | 2 | |
| 2 | Jonathan Blum | Shayne Gostisbehere | 30 | 1 | 2 | 2 | |
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | Jonathan Blum | 10 | 1 | 2 | 2 | ||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Filip Forsberg | Matt Duchene | Evgeni Malkin | 60 | 1 | 1 | 3 |
| 2 | Jordan Kyrou | Anton Lundell | Martin Nečas | 40 | 1 | 1 | 3 |
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Zach Werenski | Jonathan Blum | 60 | 0 | 1 | 4 | |
| 2 | Keith Yandle | 40 | 0 | 1 | 4 | ||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Evgeni Malkin | Anton Lundell | 60 | 1 | 2 | 2 |
| 2 | Matt Duchene | Filip Forsberg | 40 | 1 | 2 | 2 |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Zach Werenski | Keith Yandle | 60 | 1 | 2 | 2 |
| 2 | Jonathan Blum | 40 | 1 | 2 | 2 | |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Evgeni Malkin | 60 | 1 | 2 | 2 | Zach Werenski | Jonathan Blum | 60 | 1 | 2 | 2 |
| 2 | Anton Lundell | 40 | 1 | 2 | 2 | Keith Yandle | 40 | 1 | 2 | 2 | |
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Jordan Kyrou | Martin Nečas | 60 | 1 | 2 | 2 |
| 2 | Anton Lundell | Tyson Jost | 40 | 1 | 2 | 2 |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Zach Werenski | 60 | 1 | 2 | 2 | |
| 2 | Jonathan Blum | Keith Yandle | 40 | 1 | 2 | 2 |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Filip Forsberg | Matt Duchene | Martin Nečas | Zach Werenski | Jonathan Blum |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Evgeni Malkin | Matt Duchene | Alex Ovechkin | Keith Yandle | |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Filip Forsberg, Jordan Kyrou, Alex Tuch | Anton Lundell, Jordan Kyrou | Alex Ovechkin |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Keith Yandle, , | Shayne Gostisbehere | , Shayne Gostisbehere |
| Penalty Shots |
|---|
| Alex Ovechkin, Evgeni Malkin, Matt Duchene, Nikita Filatov, Tyler Seguin |
| Goalie |
|---|
| #1 : , #2 : Mackenzie Blackwood |
| Custom OT Lines Forwards |
|---|
| Matt Duchene, Filip Forsberg, Evgeni Malkin, Alex Ovechkin, Tyson Jost, Martin Nečas, Jordan Kyrou, Alex Tuch, Anton Lundell, Tyler Seguin |
| Custom OT Lines Defensemen |
|---|
| Zach Werenski, Jonathan Blum, Keith Yandle, , |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 0 | 0 | 0% | 0 | 0 | 0% | 0 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
|---|
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
| Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
| Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100 | 60 | 35 | 25 | 200 |
| 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$ | 44,484,218$ | 44,484,218$ | 1,100,000$0$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|---|
| 0$ | 0$ | 0$ | 19 | 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$ | 425,315,116$ | 425,315,116$ |
| Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
|---|---|---|---|
| 0$ | 55,000,000$ | 55,000,000$ | -20,000,000$ |
| 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 |
|---|
| Year | R1 | R2 | R3 | R4 | R5 |
|---|---|---|---|---|---|
| 15 | | | | | |
| 16 | | | | | |
| 17 | | | | | |
| 18 | | | | | |
| 19 | | | | | |
| Conditional Draft Picks | |||||
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|