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Columbus Blue Jackets 0-0-0, 0pts · 5th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 24 | C/LW | 100.00 | 65 | 34 | 95 | 68 | 67 | 85 | 88 | 69 | 78 | 65 | 68 | 79 | 71 | 69 | 70 | 36 | 75 | 0 | 28 | 1,825,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 33 | 90 | 73 | 65 | 83 | 89 | 71 | 56 | 72 | 68 | 65 | 74 | 84 | 76 | 36 | 75 | 0 | 33 | 5,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 37 | 85 | 67 | 71 | 83 | 85 | 65 | 83 | 71 | 59 | 88 | 61 | 72 | 71 | 57 | 75 | 0 | 29 | 2,200,000$/2yrs | |||
![]() | 0 | C | 100.00 | 64 | 36 | 94 | 72 | 78 | 89 | 90 | 71 | 76 | 72 | 64 | 91 | 67 | 78 | 74 | 67 | 75 | 0 | 29 | 5,200,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 72 | 38 | 86 | 74 | 76 | 87 | 90 | 77 | 56 | 73 | 74 | 65 | 76 | 64 | 69 | 91 | 75 | 0 | 22 | 2,325,000$/1yrs | |||
![]() | 39 | C/LW | 100.00 | 74 | 39 | 92 | 73 | 79 | 90 | 76 | 78 | 77 | 79 | 76 | 89 | 77 | 86 | 92 | 44 | 75 | 0 | 35 | 8,000,000$/3yrs | |||
![]() | 27 | LW/RW | 100.00 | 58 | 36 | 90 | 71 | 70 | 86 | 74 | 68 | 70 | 69 | 63 | 64 | 71 | 62 | 66 | 85 | 75 | 0 | 21 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 36 | 92 | 73 | 81 | 88 | 80 | 74 | 85 | 77 | 75 | 78 | 72 | 79 | 75 | 70 | 75 | 0 | 29 | 5,750,000$/5yrs | |||
![]() | 48 | C/LW/RW | 100.00 | 69 | 38 | 81 | 68 | 74 | 86 | 90 | 67 | 59 | 69 | 66 | 80 | 65 | 78 | 74 | 43 | 75 | 0 | 32 | 3,050,000$/3yrs | |||
![]() | 20 | C/LW | 100.00 | 67 | 38 | 90 | 78 | 76 | 91 | 89 | 74 | 85 | 81 | 69 | 84 | 71 | 73 | 75 | 52 | 75 | 0 | 30 | 5,000,000$/3yrs | |||
![]() | 80 | C | 100.00 | 70 | 45 | 72 | 77 | 91 | 87 | 89 | 75 | 79 | 76 | 74 | 66 | 78 | 70 | 72 | 85 | 75 | 0 | 26 | 7,320,000$/3yrs | |||
![]() | 13 | LW/RW | 100.00 | 80 | 66 | 79 | 74 | 72 | 84 | 88 | 67 | 54 | 66 | 65 | 93 | 64 | 76 | 75 | 26 | 75 | 0 | 32 | 3,500,000$/1yrs | |||
![]() | 8 | D | 100.00 | 65 | 39 | 90 | 66 | 79 | 90 | 86 | 62 | 30 | 73 | 54 | 92 | 48 | 83 | 76 | 23 | 75 | 0 | 34 | 4,500,000$/6yrs | |||
![]() | 0 | D | 100.00 | 72 | 34 | 82 | 70 | 71 | 88 | 89 | 67 | 30 | 72 | 65 | 81 | 54 | 72 | 71 | 35 | 75 | 0 | 29 | 3,875,000$/5yrs | |||
![]() | 88 | D | 100.00 | 63 | 39 | 88 | 74 | 95 | 93 | 90 | 72 | 30 | 82 | 73 | 83 | 59 | 94 | 80 | 32 | 75 | 0 | 39 | 8,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 77 | 71 | 66 | 99 | 90 | 89 | 61 | 30 | 75 | 57 | 87 | 49 | 86 | 74 | 45 | 75 | 0 | 34 | 3,150,000$/3yrs | |||
![]() | 0 | D | 100.00 | 74 | 72 | 86 | 62 | 96 | 87 | 78 | 59 | 30 | 69 | 52 | 80 | 47 | 72 | 74 | 30 | 75 | 0 | 31 | 775,000$/1yrs | |||
![]() | 46 | D | 100.00 | 66 | 39 | 77 | 72 | 81 | 90 | 84 | 71 | 30 | 70 | 73 | 89 | 58 | 69 | 71 | 53 | 75 | 0 | 28 | 3,400,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 94 | LW/RW | 100.00 | 64 | 34 | 91 | 73 | 69 | 88 | 81 | 72 | 57 | 75 | 66 | 62 | 70 | 71 | 73 | 35 | 75 | 0 | 30 | ||||
![]() | 79 | LW/RW | 100.00 | 86 | 51 | 83 | 68 | 82 | 78 | 84 | 64 | 53 | 65 | 67 | 62 | 64 | 69 | 71 | 41 | 75 | 0 | 28 | ||||
![]() | 2 | D | 100.00 | 76 | 38 | 87 | 62 | 92 | 88 | 86 | 61 | 30 | 62 | 53 | 84 | 46 | 75 | 72 | 58 | 75 | 0 | 32 | ||||
TEAM AVERAGE | 100.00 | 69 | 43 | 86 | 71 | 79 | 87 | 85 | 69 | 56 | 72 | 66 | 79 | 64 | 75 | 74 | 50 | 75 | 0 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 90 | 100.00 | 86 | 84 | 79 | 80 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 73 | 84 | 52 | 75 | 0 | 30 | 5,400,000$/3yrs |
![]() | 70 | 100.00 | 89 | 87 | 82 | 91 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 70 | 81 | 57 | 75 | 0 | 28 | 2,725,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 39 | 100.00 | 91 | 85 | 81 | 80 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 67 | 77 | 54 | 75 | 0 | 27 | 1,950,000$/2yrs |
TEAM AVERAGE | 100.00 | 89 | 85 | 81 | 84 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 70 | 81 | 54 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dean Evason | 82 | 86 | 83 | 78 | 90 | 84 | 56 | CAN | 60 | 3 | 3,000,000$ |
General Manager | Alexandre Jolicoeur |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
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Projected Total Cap Hit | 83,870,016$ |
Projected Cap Space | 4,129,984$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Barabanov ![]() | LW/RW/G | 30 | 0$ | ||||||||
Alexander Wennberg ![]() | C | 29 | 5,200,000$ | 5,200,000$ | 5,200,000$ | ||||||
Alexis Lafreniere | LW | 22 | 2,325,000$ | 2,325,000$ | |||||||
Brandon Tanev ![]() | LW/RW | 32 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Brent Burns ![]() | D | 39 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Chandler Stephenson ![]() | C/LW | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Chris Tanev | D/G | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |
Connor Ingram | RW/G | 27 | 1,950,000$ | 1,950,000$ | 1,950,000$ | RFA | |||||
Elvis Merzlikins ![]() | D/G | 30 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | UFA | ||||
Jake Walman ![]() | D | 28 | 3,400,000$ | 3,400,000$ | 3,400,000$ | ||||||
Jaycob Megna ![]() | D | 31 | 775,000$ | 775,000$ | |||||||
Jordan Martinook ![]() | C/LW/RW | 32 | 3,050,000$ | 3,050,000$ | 3,050,000$ | 3,050,000$ | UFA | ||||
Karel Vejmelka | LW/G | 28 | 2,725,000$ | 2,725,000$ | RFA | ||||||
Logan Couture ![]() | C/LW | 35 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Matt Coronato ![]() | LW/RW | 21 | 925,000$ | 925,000$ | |||||||
Patrik Nemeth ![]() | D | 32 | 0$ | UFA | |||||||
Pierre-Luc Dubois | C | 26 | 7,320,000$ | 7,320,000$ | 7,320,000$ | 7,320,000$ | RFA | ||||
Pius Suter | C/LW/G | 28 | 1,825,000$ | 1,825,000$ | RFA | ||||||
Sammy Blais | LW/RW | 28 | 0$ | RFA | |||||||
Sean Monahan ![]() | C | 29 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||
Sean Walker ![]() | D | 29 | 3,875,000$ | 3,875,000$ | 3,875,000$ | 3,875,000$ | 3,875,000$ | 3,875,000$ | UFA | ||
Teddy Blueger ![]() | C/LW | 29 | 2,200,000$ | 2,200,000$ | 2,200,000$ | ||||||
Tomas Tatar | LW/RW | 33 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Tyler Myers ![]() | D | 34 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,645,000$ | 0$ | 83,870,016$ | 4,129,984$ |
Arena | Goal Horn | About us | |
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![]() | Name | Nationwide Arena | |
City | Columbus | ||
Capacity | 18144 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1144 |
Ticket Price | 105$ | 90$ | 75$ | 38$ | 180$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18144 | 90 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,645,000$ | 84,645,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 436,823$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 192 | 456,484$ | 87,644,928$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
90,333,783$ | 83,870,016$ | 97,031,567$ | 6,697,784$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aleksi Heimosalmi | 2021 | 48 | ELC 2022-23 (slide) | Link | |
Alex Gagne | 2021 | 179 | |||
Alexander Tracy | 2020 | 157 | |||
Artem Shlaine | 2020 | 148 | |||
Arvid Costmar | 2019 | 215 | |||
Brian Zanetti | 2021 | 115 | |||
Chase Clark | 2021 | 201 | |||
Daniil Karpovich | 2023 | 80 | |||
Dmitri Simashev | 2023 | 20 | |||
Dylan James | 2022 | 74 | |||
Eliot L'Italien | 2024 | 185 | |||
Hudson Malinoski | 2023 | 116 | |||
Isac Hedqvist | 2024 | 189 | |||
Ivan Vorobyov | 2021 | 220 | |||
Joshua Niedermayer | 2022 | 153 | |||
Julius Miettinen | 2024 | 29 | |||
Kristian Tanus | 2020 | 188 | |||
Liam Gorman | 2018 | 182 | |||
Logan Crosby | 2024 | 157 | |||
Luca Munzenberger | 2021 | 105 | |||
Michael Mastrodomenico | 2022 | 170 | |||
Miroslav Holinka | 2024 | 221 | |||
Raoul Boilard | 2024 | 61 | |||
Rasmus Larsson | 2023 | 148 | |||
Rastislav Elias | 2022 | 202 | |||
Roman Shokhrin | 2024 | 122 | |||
Ty Halaburda | 2023 | 180 | |||
Tyson Galloway | 2021 | 156 | |||
Vinzenz Rohrer | 2022 | 106 | |||
Vladimir Mikhalyov | 2024 | 125 | |||
Vladislav Yeryomenko | 2018 | 151 |
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