| Blue Jackets |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Jean Levergneaux | Morale : 50 | Team Overall : 85 |
|
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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 | Tage Thompson | 0 | X | X | 100.00 | 64 | 64 | 99 | 95 | 98 | 81 | 92 | 87 | 75 | 84 | 85 | 70 | 89 | 71 | 75 | 0 | 50 | 91 | 0 | 26 | 4 | 7,428,571$ | ||||
| 2 | Vincent Trocheck | 0 | X | 100.00 | 80 | 66 | 99 | 70 | 98 | 92 | 99 | 81 | 89 | 89 | 82 | 71 | 97 | 82 | 78 | 0 | 50 | 91 | 0 | 30 | 1 | 2,728,125$ | |||||
| 3 | Jared McCann | 0 | X | X | 100.00 | 56 | 60 | 99 | 91 | 98 | 74 | 99 | 83 | 77 | 87 | 80 | 70 | 45 | 74 | 72 | 0 | 50 | 89 | 0 | 28 | 3 | 5,250,000$ | ||||
| 4 | Mika Zibanejad | 0 | X | 100.00 | 55 | 50 | 99 | 89 | 98 | 83 | 99 | 82 | 81 | 88 | 80 | 70 | 91 | 84 | 74 | 0 | 50 | 89 | 0 | 31 | 2 | 8,075,000$ | |||||
| 5 | Claude Giroux | 0 | X | X | 100.00 | 57 | 50 | 99 | 75 | 99 | 82 | 98 | 80 | 91 | 88 | 75 | 80 | 89 | 91 | 80 | 0 | 50 | 88 | 0 | 36 | 1 | 3,250,000$ | ||||
| 6 | Lawson Crouse | 0 | X | X | 100.00 | 85 | 70 | 99 | 95 | 98 | 64 | 98 | 75 | 57 | 75 | 75 | 80 | 45 | 73 | 70 | 0 | 50 | 86 | 0 | 27 | 3 | 4,472,000$ | ||||
| 7 | Ridly Greig | 0 | X | X | X | 100.00 | 79 | 68 | 96 | 70 | 98 | 71 | 94 | 63 | 79 | 75 | 73 | 80 | 45 | 63 | 65 | 0 | 50 | 81 | 0 | 21 | 1 | 925,000$ | |||
| 8 | Roman Josi | 0 | X | 100.00 | 54 | 57 | 99 | 76 | 96 | 90 | 68 | 84 | 30 | 90 | 74 | 75 | 44 | 87 | 93 | 0 | 50 | 86 | 0 | 34 | 1 | 8,877,820$ | |||||
| 9 | Filip Hronek | 0 | X | 100.00 | 66 | 50 | 99 | 70 | 98 | 88 | 74 | 72 | 30 | 88 | 65 | 74 | 45 | 71 | 68 | 0 | 50 | 82 | 0 | 26 | 1 | 4,180,000$ | |||||
| 10 | Jared Spurgeon | 0 | X | 100.00 | 58 | 50 | 99 | 70 | 98 | 79 | 80 | 74 | 30 | 82 | 65 | 80 | 45 | 86 | 93 | 0 | 50 | 82 | 0 | 34 | 1 | 7,575,000$ | |||||
| 11 | Luke Schenn | 2 | X | 100.00 | 89 | 72 | 99 | 70 | 98 | 58 | 92 | 60 | 30 | 75 | 65 | 78 | 45 | 88 | 76 | 0 | 50 | 80 | 0 | 34 | 1 | 790,500$ | |||||
| 12 | Ryan Graves | 0 | X | 100.00 | 71 | 64 | 99 | 70 | 98 | 60 | 74 | 60 | 30 | 75 | 65 | 79 | 45 | 73 | 71 | 0 | 50 | 78 | 0 | 29 | 1 | 3,610,000$ | |||||
| Scratches | |||||||||||||||||||||||||||||||
| 1 | Blake Coleman | 0 | X | X | 100.00 | 80 | 63 | 99 | 95 | 98 | 76 | 99 | 87 | 59 | 79 | 80 | 84 | 45 | 79 | 80 | 0 | 50 | 91 | 0 | 32 | 0 | 0$ | ||||
| 2 | Jordan Martinook | 0 | X | 100.00 | 68 | 50 | 99 | 95 | 98 | 66 | 95 | 84 | 75 | 75 | 75 | 81 | 95 | 81 | 75 | 0 | 50 | 87 | 0 | 31 | 0 | 0$ | |||||
| 3 | Jordan Eberle | 0 | X | 100.00 | 52 | 57 | 99 | 67 | 93 | 69 | 67 | 69 | 58 | 71 | 73 | 70 | 90 | 88 | 92 | 0 | 50 | 78 | 0 | 34 | 0 | 0$ | |||||
| 4 | Nikita Pavlychev | 0 | X | 100.00 | 71 | 67 | 75 | 60 | 80 | 74 | 76 | 60 | 65 | 68 | 60 | 50 | 45 | 68 | 70 | 0 | 50 | 69 | 0 | 27 | 0 | 0$ | |||||
| 5 | Mattias Ekholm | 0 | X | 100.00 | 61 | 59 | 99 | 90 | 98 | 81 | 78 | 86 | 30 | 86 | 68 | 86 | 45 | 85 | 77 | 0 | 50 | 88 | 0 | 34 | 0 | 0$ | |||||
| 6 | Derek Forbort | 0 | X | 100.00 | 74 | 70 | 99 | 70 | 98 | 64 | 70 | 60 | 30 | 75 | 65 | 74 | 45 | 77 | 74 | 0 | 50 | 77 | 0 | 32 | 0 | 0$ | |||||
| TEAM AVERAGE | 100.00 | 68 | 60 | 98 | 79 | 97 | 75 | 86 | 75 | 56 | 81 | 73 | 75 | 61 | 79 | 77 | 0 | 50 | 84 | ||||||||||||
| 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 | 0 | 100.00 | 95 | 88 | 93 | 95 | 90 | 87 | 94 | 93 | 94 | 80 | 60 | 74 | 83 | 0 | 50 | 93 | 0 | 27 | 1 | 3,060,000$ | ||
| 2 | Linus Ullmark | 0 | 100.00 | 95 | 70 | 81 | 94 | 92 | 86 | 92 | 88 | 94 | 78 | 60 | 78 | 86 | 0 | 50 | 91 | N | 0 | 30 | 4 | 4,700,000$ | |
| Scratches | |||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 95 | 79 | 87 | 95 | 91 | 87 | 93 | 91 | 94 | 79 | 60 | 76 | 85 | 0 | 50 | 92 | ||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jim Montgomery | 86 | 89 | 88 | 82 | 84 | 78 | 64 | CAN | 56 | 3 | 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 |
| # | 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 |
|---|
| |
| Projected Total Cap Hit | 0$ |
| Projected Cap Space | 83,500,000$ |
| Retained Salary | -4,438,910$ |
| Salary Cap To Date | 0$ |
| Players In Salary Cap | 14 |
| Contracts | 20/50 |
| LTIR | 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 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Blake Coleman (1 Way Contract) | Blue Jackets | LW/RW | 32 | 1991-11-28 | USA | No | 199 Lbs | 5 ft11 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |||||||||
| Claude Giroux (1 Way Contract) | Blue Jackets | C/RW | 36 | 1988-01-12 | CAN | No | 188 Lbs | 5 ft11 | No | No | Trade | 2025-01-11 | No | No | 1 | 2025-01-11 | False | False | Pro Only | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | No | Unrestricted | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||||
| Derek Forbort (1 Way Contract) | Blue Jackets | D | 32 | 1992-03-04 | USA | No | 216 Lbs | 6 ft4 | No | No | Free Agent | No | No | 0 | 2024-08-17 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||||||||
| Filip Hronek (1 Way Contract) | Blue Jackets | D | 26 | 1997-11-02 | CZE | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 4,180,000$ | 4,180,000$ | 4,180,000$ | 4,180,000$ | No | Unrestricted | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||||||
| Jared McCann (1 Way Contract) | Blue Jackets | C/LW | 28 | 1996-05-31 | CAN | No | 191 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | No | 5,250,000$ | 5,250,000$ | Unrestricted | - | - | - | - | 5,250,000$ | 5,250,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | ||||
| Jared Spurgeon (1 Way Contract) | Blue Jackets | D | 34 | 1989-11-29 | CAN | No | 166 Lbs | 5 ft9 | No | No | Trade | 2024-02-19 | No | No | 1 | False | False | Pro & Farm | 7,575,000$ | 7,575,000$ | 7,575,000$ | 7,575,000$ | No | Unrestricted | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |||||
| Jordan Eberle (1 Way Contract) | Blue Jackets | RW | 34 | 1990-05-15 | CAN | No | 180 Lbs | 5 ft11 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |||||||||
| Jordan Martinook (1 Way Contract) | Blue Jackets | LW | 31 | 1992-07-25 | CAN | No | 208 Lbs | 6 ft1 | No | No | Trade | 2024-02-19 | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||||||||
| Lawson Crouse (1 Way Contract) | Blue Jackets | LW/RW | 27 | 1997-06-23 | CAN | No | 214 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 4,472,000$ | 4,472,000$ | 4,472,000$ | 4,472,000$ | No | 4,472,000$ | 4,472,000$ | Unrestricted | - | - | - | - | 4,472,000$ | 4,472,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | ||||
Linus Ullmark  (1 Way Contract) | Blue Jackets | G | 30 | 1993-07-31 | SWE | No | 215 Lbs | 6 ft4 | Yes | No | Free Agent | 2024-02-19 | No | No | 4 | 2024-07-02 | False | False | Pro Only | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | No | 4,700,000$ | 4,700,000$ | 4,700,000$ | Unrestricted | - | - | - | - | 4,700,000$ | 4,700,000$ | 4,700,000$ | - | - | - | - | - | - | Yes | Yes | Yes | - | - | - | - | - | - | Link / NHL Link | |
Luke Schenn  | Blue Jackets | D | 34 | 1989-11-02 | CAN | No | 225 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 790,500$ | 790,500$ | 790,500$ | 790,500$ | No | Unrestricted | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||||||
| Mackenzie Blackwood (1 Way Contract) | Blue Jackets | G | 27 | 1996-12-09 | CAN | No | 225 Lbs | 6 ft4 | No | No | Trade | 2025-07-16 | No | No | 1 | False | False | Pro & Farm | 3,060,000$ | 3,060,000$ | 3,060,000$ | 3,060,000$ | No | Unrestricted | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |||||
| Mattias Ekholm (1 Way Contract) | Blue Jackets | D | 34 | 1990-05-24 | SWE | No | 225 Lbs | 6 ft5 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |||||||||
| Mika Zibanejad (1 Way Contract) | Blue Jackets | C | 31 | 1993-04-18 | SWE | No | 203 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 8,075,000$ | 8,075,000$ | 8,075,000$ | 8,075,000$ | No | 8,075,000$ | Unrestricted | - | - | - | - | 8,075,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |||||
| Nikita Pavlychev | Blue Jackets | C | 27 | 1997-03-23 | RUS | No | 201 Lbs | 6 ft7 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |||||||||
| Ridly Greig | Blue Jackets | C/LW/RW | 21 | 2002-08-08 | CAN | No | 188 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 925,000$ | 925,000$ | 925,000$ | No | Restricted | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||||||
| Roman Josi (1 Way Contract) | Blue Jackets | D | 34 | 1990-06-01 | CHE | No | 201 Lbs | 6 ft1 | No | No | Trade | 2025-07-24 | No | No | 1 | False | False | Pro & Farm | 8,877,820$ | 8,877,820$ | 8,877,820$ | 8,877,820$ | No | Unrestricted | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |||||
| Ryan Graves (1 Way Contract) | Blue Jackets | D | 29 | 1995-05-21 | CAN | No | 222 Lbs | 6 ft5 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,610,000$ | 3,610,000$ | 3,610,000$ | 3,610,000$ | No | Unrestricted | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||||||
| Tage Thompson (1 Way Contract) | Blue Jackets | C/LW | 26 | 1997-10-30 | USA | No | 220 Lbs | 6 ft6 | No | No | Free Agent | No | No | 4 | 2024-08-09 | False | False | Pro & Farm | 7,428,571$ | 7,428,571$ | 7,428,571$ | 7,428,571$ | No | 7,428,571$ | 7,428,571$ | 7,428,571$ | Unrestricted | - | - | - | - | 7,428,571$ | 7,428,571$ | 7,428,571$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | ||
| Vincent Trocheck (1 Way Contract) | Blue Jackets | C | 30 | 1993-07-11 | USA | No | 188 Lbs | 5 ft11 | No | No | Trade | 2025-07-24 | No | No | 1 | 2024-02-17 | False | False | Pro & Farm | 2,728,125$ | 2,728,125$ | 2,728,125$ | 2,728,125$ | No | Unrestricted | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 20 | 30.15 | 203 Lbs | 6 ft2 | 1.25 | 3,246,101$ |
| Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
|---|---|---|---|---|
| 64,922,016$ | 29,925,571$ | 21,850,571$ | 12,128,571$ | 0$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Jared McCann | Mika Zibanejad | Claude Giroux | 35 | 0 | 1 | 4 |
| 2 | Lawson Crouse | Tage Thompson | 35 | 1 | 1 | 3 | |
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | Ridly Greig | 10 | 1 | 3 | 1 | ||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Jared Spurgeon | 30 | 0 | 2 | 3 | ||
| 2 | Ryan Graves | Filip Hronek | 30 | 1 | 2 | 2 | |
| 3 | Luke Schenn | 20 | 2 | 3 | 0 | ||
| 4 | Jared Spurgeon | 20 | 1 | 1 | 3 | ||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Jared McCann | Mika Zibanejad | Claude Giroux | 50 | 0 | 0 | 5 |
| 2 | Lawson Crouse | Tage Thompson | 50 | 0 | 0 | 5 | |
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Jared Spurgeon | 50 | 0 | 1 | 4 | ||
| 2 | Filip Hronek | 50 | 0 | 1 | 4 | ||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 50 | 0 | 5 | 0 | ||
| 2 | Mika Zibanejad | 50 | 0 | 5 | 0 | |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Ryan Graves | 50 | 2 | 3 | 0 | |
| 2 | Luke Schenn | 50 | 2 | 3 | 0 | |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 50 | 0 | 5 | 0 | Ryan Graves | 50 | 1 | 4 | 0 | ||
| 2 | 50 | 0 | 5 | 0 | Luke Schenn | 50 | 1 | 4 | 0 | ||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Tage Thompson | 50 | 0 | 1 | 4 | |
| 2 | Mika Zibanejad | Jared McCann | 50 | 0 | 1 | 4 |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Jared Spurgeon | 50 | 0 | 2 | 3 | |
| 2 | Ryan Graves | Filip Hronek | 50 | 1 | 1 | 3 |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Jared McCann | Tage Thompson | Claude Giroux | Filip Hronek | |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Mika Zibanejad | Ryan Graves | Luke Schenn | ||
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Mika Zibanejad, Tage Thompson, Jared McCann | Mika Zibanejad, Tage Thompson | Claude Giroux |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Jared Spurgeon, , Filip Hronek | Jared Spurgeon | Ryan Graves, |
| Penalty Shots |
|---|
| Mika Zibanejad, Tage Thompson, , Jared McCann, Claude Giroux |
| Goalie |
|---|
| #1 : Linus Ullmark, #2 : |
| Custom OT Lines Forwards |
|---|
| Tage Thompson, Mika Zibanejad, , Jared McCann, Claude Giroux, , , , , Lawson Crouse, Ridly Greig |
| Custom OT Lines Defensemen |
|---|
| Jared Spurgeon, , Filip Hronek, Ryan Graves, Luke Schenn |
| 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 | Score | Home | Score | ST | OT | SO | RI | Link |
|---|
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
| Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
| Capacity | 2000 | 4000 | 5000 | 6000 | 1000 |
| Ticket Price | 195 | 140 | 90 | 49 | 295 |
| 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$ | 18000 | 100 |
| Expenses | ||||
|---|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
| 0$ | 64,922,016$ | 64,922,016$ | 0$0$ | -4,438,910$ |
| Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|---|
| 0$ | 0$ | 0$ | 14 | 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$ | 81,190,127$ | 81,190,127$ |
| Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
|---|---|---|---|
| 0$ | 83,500,000$ | 83,500,000$ | -63,500,000$ |
| 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 Traded | Link |
|---|---|---|---|---|---|---|
| Adam Gajan | Blue Jackets | 2023 | 123 | |||
| Bogdan Konyushkov | Blue Jackets | 2024 | 77 | |||
| Cal Clutterbuck | Blue Jackets | 2006 | 72 | Link | ||
| Carter Sotheran | Blue Jackets | 2024 | 102 | |||
| Daniil Karpovich | Blue Jackets | 2024 | 178 | |||
| Eric Pohlkamp | Blue Jackets | 2023 | 220 | |||
| Hoyt Stanley | Blue Jackets | 2024 | 100 | |||
| Hudson Malinoski | Blue Jackets | 2023 | 181 | |||
| Ian Moore | Blue Jackets | 2021 | 81 | |||
| Jack Beck | Blue Jackets | 2022 | 117 | |||
| Jake Boltmann | Blue Jackets | 2021 | 117 | |||
| Jiri Smejkal | Blue Jackets | 2023 | 91 | Link | ||
| Kari Piiroinen | Blue Jackets | 2021 | 157 | |||
| Kirill Gerasimyuk | Blue Jackets | 2022 | 140 | |||
| Kyle Jackson | Blue Jackets | 2022 | 86 | |||
| Marian Studenic | Blue Jackets | 2017 | 143 | Link | ||
| Michael Hutchinson | Blue Jackets | 0 | 0 | Link | ||
| Nikita Okhotiuk | Blue Jackets | 0 | 0 | Link | ||
| Oliver Tarnstrom | Blue Jackets | 2021 | 86 | |||
| Olivier Nadeau | Blue Jackets | 2022 | 85 | |||
| Ovia Keskinen | Blue Jackets | 2023 | 223 | |||
| Owen Allard | Blue Jackets | 2024 | 210 | |||
| Pavel Moysevich | Blue Jackets | 2024 | 146 | |||
| Santtu Kinnunen | Blue Jackets | 2022 | 214 | Link | ||
| Simon Johansson | Blue Jackets | 2022 | 160 | Link | ||
| Victor Mete | Blue Jackets | 2016 | 100 | Link | ||
| Yegor Zavragin | Blue Jackets | 2024 | 80 |
| Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
|---|---|---|---|---|---|---|---|
| 2025 | | | | | |||
| 2026 | | | | | | | |
| 2027 | | | | | | | |
| 2028 | | | | | | | |
| 2029 | | | | | | | |
| Conditional Draft Picks | |||||||
Jean LevergneauxBlue Jackets fire Laviolette,
hire Jim Montgomery!
Blue Jackets GM made the decision to fire HC Peter Laviolette with 1 game to go in the regular season.
It might seem like a weird move to make, but Laviolette was in the last year of his contract and the Blue Jackets were not going to extend him past the 2024 / 25 season.
Although the Blue Jackets have been battling for 1st in the Metro division, the team lost too many games they should have won and didn’t win enough games against top opponents.
The decision was made to move on now and hire Jim Montgomery on a permanent basis. Coach Montgomery will be receiving a 4-year contract to coach the Blue Jackets.
Throughout his career coach Montgomery has coached teams that have had a lot of success, the hope is that he will bring that success to Columbus and help the Blue Jackets win the Stanley Cup!
Jean LevergneauxTight race in the Metro!
The 2024 -25 season brought on a tight race in the Metropolitan Division.
With a 1/3 of the season completed the top 4 teams in the Metro division are separated by 1 point.
The Islanders, Hurricanes, Devils and Blue Jackets are in a tight race where 1 win moves you up 3 spots and 1 loss combined with the wins from the other 3 teams can take you from 1st to 4th.
Add to the fact that these 4 teams face each other 3 times each makes all of those games’ potential 4-point games if the games end in regulation.
It will be exiting to see how this race develops and ends up.
I wish I could say good luck to the Devils, Canes and Islanders but that would be a lie, LOL!
Jean LevergneauxGoalie Appearance Rule could create problems for some teams in playoff race.
The HSHL Goalies may not appear in more than 65 games in a HSHL season and 3 teams starting goalies that are battling for a playoff spot will have to start their backup more often that they want down the stretch.
Arizona Coyotes
Juuse Saros has already played in 65 games so far this season, he is done for the regular season. Will the Coyotes start Anthony Stolarz for the last 15 games of the season?
With the trade deadline behind him the Arizona GM is not in a good spot right now.
The Desert Dogs currently hold the top wild card spot in the western conference with 15 games left but they are only 2 points ahead of Dallas Stars who have a game in hand on the Coyotes.
The Coyotes back up is Anthony Stolarz and his stats this year won’t make the Arizona GM feel very comfortable for the rest of the season.
Anthony Stolarz: GP 12, W 1, L 4, SV% .591, GAA 9.40
Will he be able to keep the Coyotes in the wild card spot?
I’m sure seeing those stats put a smile on the Starts GM face.
Detroit Red Wings
Semyon Varlamov has already played 60 games with 14 games left for the Wings. Detroit is probably safe and should make the playoffs since they already have 90 points in the bank and a 7-point lead on Toronto for 3rd in the Atlantic division.
They also have a 13-point lead on Carolina (77) would hold the last wild card spot in the east.
Detroit’s back up is Devan Dubnyk who has struggled this year with a .863 SV% and 4.54 GAA in 13 games, I don’t need to tell you those are not good numbers.
But will they be able to hold back the Leafs and avoid having to play the # 1 seed in the Atlantic Ottawa Senators?
Either way the Wings will probably have to go through the gauntlet to get out of their division with Montreal and Ottawa both having 50 wins in less than 70 games played.
Resting Varlamov might be what the Wings need to get out of the division.
Los Angeles Kings
Jordan Bennington has already played 60 games with 15 games left in the regular season for the Kings. LA is currently in 3rd place in the Pacific division 6 points ahead of Dallas who are currently out of the playoffs.
The Kings backup is Jonathan Quick, a veteran goalie who has struggled this year with .891 SV% and 3.26 GA in 2021- 22. Its obviously below average in the HSHL. Will that be good enough for the Kings who will need Quick to play 10 of the last 15 games.
Even if the Kings make the playoffs, they will probably lose the 3rd seed in the Pacific and end up in one of the wild card spots, which means facing either Vegas or Chicago who have been the class of the league so far this year.
Also, let’s not forget that the Blackhawks are the HSHL defending Champs!
| # | 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 |
|---|
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