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Full Scoreboard »» |
Columbus Blue Jackets 15-5-2, 32pts · 2nd in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mikko Rantanen | 0 | C/LW/RW | 99.00 | 65 | 34 | 72 | 87 | 87 | 93 | 90 | 87 | 78 | 84 | 91 | 61 | 89 | 72 | 80 | 0 | 58 | 92 | 28 | 9,500,000$/3yrs | |||
Sam Reinhart | 13 | C/RW | 99.00 | 66 | 36 | 87 | 85 | 77 | 89 | 90 | 84 | 76 | 75 | 96 | 79 | 90 | 74 | 73 | 0 | 58 | 92 | 29 | 7,000,000$/3yrs | |||
Jack Eichel | 9 | C | 98.00 | 58 | 37 | 85 | 86 | 82 | 90 | 85 | 81 | 83 | 80 | 85 | 87 | 83 | 73 | 71 | 0 | 58 | 90 | 28 | 10,000,000$/2yrs | |||
Kyle Connor | 81 | LW | 99.00 | 53 | 32 | 87 | 87 | 73 | 88 | 90 | 83 | 56 | 79 | 94 | 63 | 88 | 73 | 71 | 0 | 58 | 90 | 27 | 7,500,000$/3yrs | |||
Sam Bennett | 0 | C/LW/RW | 100.00 | 79 | 33 | 64 | 81 | 77 | 84 | 90 | 77 | 82 | 68 | 89 | 65 | 83 | 73 | 70 | 0 | 58 | 86 | 28 | 4,425,000$/2yrs | |||
Boone Jenner (C) | 38 | C/LW | 99.00 | 78 | 33 | 83 | 70 | 81 | 89 | 84 | 71 | 91 | 65 | 79 | 88 | 75 | 78 | 96 | 0 | 58 | 85 | 31 | 3,750,000$/2yrs | |||
Nicolas Roy | 0 | C/RW | 100.00 | 67 | 37 | 85 | 71 | 83 | 81 | 87 | 68 | 81 | 73 | 67 | 73 | 67 | 71 | 70 | 0 | 58 | 80 | 27 | 3,000,000$/3yrs | |||
Paul Cotter | 0 | C/LW | 100.00 | 85 | 33 | 78 | 63 | 84 | 78 | 90 | 67 | 61 | 63 | 76 | 56 | 72 | 67 | 64 | 0 | 58 | 77 | 25 | 775,000$/2yrs | |||
Kent Johnson | 91 | C/LW | 100.00 | 56 | 32 | 92 | 68 | 69 | 79 | 84 | 65 | 59 | 67 | 67 | 56 | 66 | 61 | 60 | 0 | 58 | 75 | 22 | 1,800,000$/3yrs | |||
Parker Kelly | 0 | C/LW | 100.00 | 78 | 32 | 87 | 58 | 74 | 75 | 90 | 59 | 58 | 59 | 61 | 82 | 60 | 67 | 66 | 0 | 61 | 74 | 25 | 800,000$/2yrs | |||
Nico Sturm | 0 | C/LW | 100.00 | 68 | 33 | 93 | 60 | 84 | 80 | 85 | 58 | 88 | 60 | 59 | 77 | 59 | 74 | 73 | 0 | 58 | 74 | 29 | 1,050,000$/1yrs | |||
Zemgus Girgensons | 0 | C/LW/RW | 100.00 | 75 | 35 | 91 | 55 | 80 | 76 | 87 | 60 | 74 | 58 | 63 | 69 | 62 | 76 | 84 | 0 | 58 | 73 | 30 | 1,255,000$/3yrs | |||
Rasmus Andersson | 4 | D | 99.00 | 62 | 35 | 84 | 70 | 79 | 96 | 89 | 70 | 30 | 74 | 64 | 81 | 67 | 72 | 77 | 0 | 58 | 84 | 28 | 4,450,000$/1yrs | |||
Brady Skjei | 0 | D | 99.00 | 65 | 33 | 83 | 69 | 84 | 91 | 90 | 69 | 30 | 74 | 67 | 78 | 68 | 77 | 75 | 0 | 58 | 83 | 30 | 5,500,000$/4yrs | |||
Thomas Chabot | 0 | D | 99.00 | 65 | 33 | 85 | 67 | 78 | 94 | 81 | 66 | 30 | 73 | 68 | 72 | 67 | 71 | 80 | 0 | 58 | 82 | 27 | 8,000,000$/4yrs | |||
Erik Cernak | 0 | D | 100.00 | 86 | 45 | 69 | 58 | 90 | 88 | 87 | 64 | 30 | 61 | 55 | 84 | 59 | 71 | 67 | 0 | 58 | 77 | 27 | 4,750,000$/4yrs | |||
Erik Johnson | 6 | D | 100.00 | 78 | 38 | 87 | 55 | 90 | 82 | 85 | 58 | 30 | 56 | 56 | 76 | 57 | 86 | 85 | 0 | 58 | 74 | 36 | 1,000,000$/1yrs | |||
Nicolas Hague | 0 | D | 100.00 | 78 | 45 | 80 | 55 | 94 | 87 | 88 | 60 | 30 | 60 | 54 | 74 | 57 | 68 | 66 | 0 | 58 | 74 | 26 | 2,294,150$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.50 | 70 | 35 | 83 | 69 | 81 | 86 | 87 | 69 | 59 | 68 | 72 | 73 | 71 | 72 | 74 | 0 | 58 | 81 |
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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Vasilevskiy | 88 | 98.00 | 84 | 95 | 83 | 90 | 86 | 81 | 87 | 91 | 88 | 90 | 87 | 76 | 80 | 0 | 63 | 90 | 30 | 9,500,000$/4yrs |
Daniil Tarasov | 40 | 100.00 | 69 | 74 | 71 | 82 | 72 | 67 | 75 | 78 | 77 | 78 | 75 | 67 | 71 | 0 | 58 | 78 | 25 | 1,050,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 77 | 85 | 77 | 86 | 79 | 74 | 81 | 85 | 83 | 84 | 81 | 72 | 76 | 0 | 61 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Derek Lalonde | 83 | 81 | 87 | 91 | 67 | 63 | 73 | USA | 49 | 5 | 1,000,000$ |
General Manager | Étienne Bourget |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sam Reinhart | Blue Jackets | 13 | C/RW | 22 | 17 | 18 | 35 | 15 | 4 | 0 | 11 | 159 | 58 | 108 | 10.69% | 4 | 19.91 | 2 | 6 | 8 | 69 | 0 | 0 | 0 | 46 | 4 | 2 | 56.25% | 112 | 0 | 0 | 0 | 1 | 1.60 | 0 | 0 |
2 | Jack Eichel | Blue Jackets | 9 | C | 22 | 10 | 19 | 29 | 13 | 7 | 5 | 33 | 116 | 31 | 84 | 8.62% | 5 | 23.11 | 1 | 8 | 9 | 76 | 0 | 0 | 0 | 50 | 2 | 0 | 51.03% | 729 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 |
3 | Mikko Rantanen | Blue Jackets | 0 | C/LW/RW | 22 | 14 | 15 | 29 | 12 | 16 | 0 | 60 | 111 | 27 | 82 | 12.61% | 2 | 20.66 | 3 | 4 | 7 | 77 | 0 | 0 | 0 | 0 | 2 | 1 | 42.50% | 40 | 0 | 0 | 0 | 0 | 1.28 | 0 | 0 |
4 | Boone Jenner | Blue Jackets | 38 | C/LW | 22 | 10 | 17 | 27 | 16 | 12 | 0 | 37 | 112 | 32 | 74 | 8.93% | 5 | 19.76 | 2 | 5 | 7 | 67 | 0 | 0 | 0 | 59 | 3 | 1 | 56.85% | 591 | 0 | 0 | 0 | 0 | 1.24 | 0 | 0 |
5 | Rasmus Andersson | Blue Jackets | 4 | D | 22 | 3 | 19 | 22 | 16 | 10 | 0 | 28 | 41 | 15 | 23 | 7.32% | 27 | 25.26 | 3 | 5 | 8 | 80 | 0 | 0 | 0 | 60 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 |
6 | Kyle Connor | Blue Jackets | 81 | LW | 22 | 6 | 10 | 16 | 11 | 4 | 0 | 13 | 80 | 17 | 65 | 7.50% | 2 | 20.35 | 2 | 4 | 6 | 75 | 0 | 0 | 0 | 0 | 0 | 2 | 36.00% | 25 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 |
7 | Brady Skjei | Blue Jackets | 0 | D | 22 | 5 | 9 | 14 | 17 | 14 | 0 | 31 | 37 | 6 | 19 | 13.51% | 37 | 23.17 | 2 | 1 | 3 | 62 | 0 | 0 | 0 | 52 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 |
8 | Thomas Chabot | Blue Jackets | 0 | D | 22 | 4 | 9 | 13 | 2 | 2 | 0 | 7 | 33 | 6 | 18 | 12.12% | 23 | 21.39 | 3 | 0 | 3 | 78 | 0 | 0 | 0 | 7 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 |
9 | Erik Cernak | Blue Jackets | 0 | D | 22 | 2 | 10 | 12 | 4 | 36 | 0 | 80 | 22 | 4 | 16 | 9.09% | 32 | 21.49 | 2 | 2 | 4 | 63 | 0 | 0 | 0 | 48 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 |
10 | Sam Bennett | Blue Jackets | 0 | C/LW/RW | 22 | 3 | 8 | 11 | -2 | 14 | 0 | 61 | 60 | 23 | 61 | 5.00% | 6 | 14.04 | 1 | 3 | 4 | 67 | 0 | 0 | 0 | 3 | 0 | 0 | 52.55% | 314 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 |
11 | Erik Johnson | Blue Jackets | 6 | D | 22 | 1 | 7 | 8 | 6 | 12 | 0 | 20 | 7 | 10 | 12 | 14.29% | 20 | 15.36 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
12 | Paul Cotter | Blue Jackets | 0 | C/LW | 22 | 2 | 4 | 6 | 14 | 16 | 0 | 24 | 20 | 5 | 12 | 10.00% | 2 | 12.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 40.00% | 25 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 |
13 | Nicolas Hague | Blue Jackets | 0 | D | 22 | 0 | 5 | 5 | 7 | 46 | 10 | 28 | 10 | 7 | 8 | 0.00% | 24 | 13.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 |
14 | Zemgus Girgensons | Blue Jackets | 0 | C/LW/RW | 22 | 3 | 2 | 5 | 0 | 0 | 0 | 8 | 17 | 1 | 6 | 17.65% | 1 | 5.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 |
15 | Nicolas Roy | Blue Jackets | 0 | C/RW | 22 | 4 | 0 | 4 | -2 | 0 | 0 | 6 | 40 | 12 | 30 | 10.00% | 6 | 12.23 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 0 | 0 | 25.00% | 20 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 |
16 | Nico Sturm | Blue Jackets | 0 | C/LW | 22 | 2 | 2 | 4 | 0 | 0 | 0 | 2 | 12 | 7 | 16 | 16.67% | 1 | 6.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 50.00% | 156 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 |
17 | Parker Kelly | Blue Jackets | 0 | C/LW | 15 | 0 | 3 | 3 | 1 | 2 | 0 | 7 | 12 | 2 | 6 | 0.00% | 4 | 7.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 |
18 | Kent Johnson | Blue Jackets | 91 | C/LW | 22 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 13 | 3 | 11 | 15.38% | 1 | 11.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27.78% | 18 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 |
Team Total or Average | 389 | 88 | 158 | 246 | 130 | 195 | 15 | 456 | 902 | 266 | 651 | 9.76% | 202 | 16.54 | 21 | 38 | 59 | 726 | 0 | 0 | 0 | 494 | 15 | 6 | 52.13% | 2045 | 0 | 0 | 0 | 1 | 0.76 | 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 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Andrei Vasilevskiy | Blue Jackets | 20 | 14 | 4 | 2 | 0.914 | 2.62 | 1192 | 2 | 1 | 52 | 607 | 0 | 3 | 1 | 0.000 | 0 | 19 | 3 | 1 | 2 | 1 |
2 | Daniil Tarasov | Blue Jackets | 3 | 1 | 1 | 0 | 0.873 | 3.13 | 134 | 0 | 0 | 7 | 55 | 0 | 0 | 0 | 0.000 | 0 | 3 | 19 | 0 | 0 | 0 |
Team Total or Average | 23 | 15 | 5 | 2 | 0.911 | 2.67 | 1327 | 2 | 1 | 59 | 662 | 0 | 3 | 1 | 0.000 | 0 | 22 | 22 | 1 | 2 | 1 |
Projected Total Cap Hit | 87,473,765$ |
Projected Cap Space | 526,235$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 25,491,719$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Blue Jackets Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Vasilevskiy | G | 30 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Boone Jenner | C/LW | 31 | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||||
Brady Skjei | D | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Daniil Tarasov | G | 25 | 1,050,000$ | 1,050,000$ | RFA | ||||||
Erik Cernak | D | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||
Erik Johnson | D | 36 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Jack Eichel | C | 28 | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | |||||
Kent Johnson | C/LW | 22 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | RFA | ||||
Kyle Connor | LW | 27 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||||
Mikko Rantanen | C/LW/RW | 28 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Nico Sturm | C/LW | 29 | 1,050,000$ | 1,050,000$ | UFA | ||||||
Nicolas Hague | D | 26 | 2,294,150$ | 2,294,150$ | RFA | ||||||
Nicolas Roy | C/RW | 27 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Parker Kelly | C/LW | 25 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Paul Cotter | C/LW | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Rasmus Andersson | D | 28 | 4,450,000$ | 4,450,000$ | UFA | ||||||
Sam Bennett | C/LW/RW | 28 | 4,425,000$ | 4,425,000$ | 4,425,000$ | UFA | |||||
Sam Reinhart | C/RW | 29 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
Thomas Chabot | D | 27 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Zemgus Girgensons | C/LW/RW | 30 | 1,255,000$ | 1,255,000$ | 1,255,000$ | 1,255,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Petrovic | D | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cade Webber | D | 23 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Calle Rosen | D | 30 | 900,000$ | 900,000$ | UFA | ||||||
Chase Pearson | C | 27 | 0$ | RFA | |||||||
Christian Fischer | C/LW/RW | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Cole Koepke | LW/RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Colten Ellis | G | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Daniel Torgersson | LW/RW | 22 | 867,500$ | 867,500$ | RFA | ||||||
Dennis Gilbert | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Dmitri Samorukov | D | 25 | 900,000$ | 900,000$ | RFA | ||||||
Emil Bemstrom | C/RW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Eric Comrie | G | 29 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Fabian Wagner | C | 20 | 858,333$ | 858,333$ | 858,333$ | RFA | |||||
Isaac Poulter | G | 23 | 950,000$ | 950,000$ | RFA | ||||||
Jaroslav Chmelar | RW | 21 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Jere Innala | LW | 26 | 870,000$ | 870,000$ | RFA | ||||||
Kevin Gravel | D | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Kirill Kudryavtsev | D | 20 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Liam Foudy | C | 24 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Logan Brown | C | 26 | 950,000$ | 950,000$ | RFA | ||||||
Matej Pekar | LW | 24 | 850,000$ | 850,000$ | RFA | ||||||
Mathieu Olivier | RW | 27 | 875,000$ | 875,000$ | UFA | ||||||
Milo Roelens | C | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Nathan Walker | LW | 30 | 900,000$ | 900,000$ | UFA | ||||||
Nick Blankenburg | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Noah Philp | C | 26 | 775,000$ | 775,000$ | RFA | ||||||
Reece Newkirk | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Ryan Francis | C | 23 | 0$ | RFA | |||||||
Sandis Vilmanis | LW | 21 | 855,000$ | 855,000$ | 855,000$ | 855,000$ | RFA | ||||
Scott Morrow | D | 22 | 916,667$ | 916,667$ | 916,667$ | RFA | |||||
Shane Bowers | RW | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Sheldon Dries | C | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Tyler Tullio | RW | 22 | 823,333$ | 823,333$ | RFA |
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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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1 | Flames | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 48 | 17 | 14 | 17 | 0 | 37 | 7 | 6 | 22 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 25 | 18 | 22 | 7 | 12 | 5 | 50.0% | 2.1% | 94.6% | 96.7 | DULL |
2 | Islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 0 | 4 | 2 | 0 | 30 | 5 | 12 | 13 | 0 | 45 | 13 | 10 | 25 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 25 | 18 | 23 | 6 | 11 | 6 | 66.7% | 20.0% | 93.3% | 113.3 | LUCKY |
3 | Hurricanes | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 45 | 6 | 24 | 15 | 0 | 37 | 15 | 8 | 12 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 24 | 17 | 24 | 7 | 10 | 5 | 60.0% | 8.9% | 94.6% | 103.5 | Unlucky |
4 | Avalanche | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 3 | 1 | 43 | 12 | 8 | 21 | 2 | 32 | 12 | 4 | 17 | 4 | 1 | 25.00% | 2 | 2 | 0.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 23 | 15 | 23 | 8 | 15 | 7 | 66.7% | 11.6% | 87.5% | 99.1 | FUN |
5 | Canadiens | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 5 | 1 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 3 | 0 | 3 | 0 | 90 | 38 | 31 | 21 | 0 | 39 | 11 | 11 | 37 | 8 | 1 | 12.50% | 3 | 0 | 100.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 49 | 36 | 46 | 13 | 24 | 12 | 50.0% | 6.7% | 87.2% | 93.8 | Unlucky |
6 | Capitals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 1 | 2 | 0 | 0 | 50 | 19 | 15 | 16 | 0 | 30 | 5 | 6 | 28 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 27 | 20 | 20 | 7 | 11 | 5 | 100.0% | 6.0% | 100.0% | 106.0 | DULL |
7 | Wild | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 18 | 27 | 1 | 0 | 5 | 2 | 2 | 0 | 92 | 32 | 32 | 28 | 0 | 72 | 23 | 24 | 49 | 9 | 3 | 33.33% | 11 | 4 | 63.64% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 49 | 34 | 45 | 14 | 25 | 12 | 54.5% | 9.8% | 87.5% | 97.3 | FUN |
8 | Kings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 2 | 3 | 0 | 42 | 14 | 11 | 17 | 0 | 29 | 9 | 0 | 28 | 6 | 2 | 33.33% | 0 | 0 | 0.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 26 | 19 | 19 | 7 | 13 | 7 | 60.0% | 11.9% | 93.1% | 105.0 | LUCKY |
9 | Predators | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 52 | 17 | 10 | 25 | 0 | 17 | 7 | 10 | 13 | 6 | 3 | 50.00% | 3 | 1 | 66.67% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 29 | 21 | 18 | 6 | 11 | 7 | 100.0% | 11.5% | 94.1% | 105.7 | LUCKY |
10 | Lightning | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 29 | 12 | 5 | 12 | 0 | 29 | 13 | 6 | 15 | 6 | 2 | 33.33% | 3 | 1 | 66.67% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 24 | 17 | 22 | 7 | 12 | 6 | 66.7% | 13.8% | 93.1% | 106.9 | LUCKY |
11 | Oilers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 4 | 1 | 0 | 53 | 24 | 17 | 12 | 0 | 21 | 7 | 8 | 18 | 7 | 3 | 42.86% | 3 | 1 | 66.67% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 27 | 20 | 19 | 7 | 12 | 6 | 80.0% | 13.2% | 90.5% | 103.7 | FUN |
12 | Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 5 | 9 | 0 | 0 | 2 | 2 | 0 | 0 | 34 | 8 | 16 | 10 | 0 | 31 | 10 | 10 | 19 | 1 | 1 | 100.00% | 5 | 2 | 60.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 22 | 15 | 24 | 7 | 13 | 6 | 42.9% | 11.8% | 80.6% | 92.4 | FUN |
13 | Sabres | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 8 | 8 | 5 | 3 | 29 | 9 | 27 | 17 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 22 | 14 | 27 | 7 | 13 | 5 | 33.3% | 4.2% | 93.1% | 97.3 | DULL |
14 | Panthers | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 2 | 1 | 45 | 8 | 13 | 20 | 4 | 29 | 6 | 8 | 23 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 28 | 20 | 20 | 7 | 12 | 6 | 60.0% | 8.9% | 89.7% | 98.5 | Unlucky |
15 | Jets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 35 | 11 | 12 | 12 | 0 | 22 | 8 | 6 | 21 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 28 | 21 | 19 | 6 | 11 | 5 | 42.9% | 8.6% | 77.3% | 85.8 | Unlucky |
16 | Ducks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 41 | 15 | 12 | 14 | 0 | 50 | 5 | 16 | 23 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 22 | 15 | 25 | 7 | 11 | 5 | 83.3% | 14.6% | 96.0% | 110.6 | LUCKY |
17 | Maple Leafs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 38 | 13 | 15 | 10 | 0 | 28 | 12 | 2 | 18 | 4 | 1 | 25.00% | 1 | 1 | 0.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 25 | 19 | 21 | 6 | 12 | 6 | 66.7% | 7.9% | 92.9% | 100.8 | DULL |
18 | Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 53 | 14 | 24 | 15 | 0 | 27 | 9 | 14 | 27 | 9 | 1 | 11.11% | 5 | 1 | 80.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 27 | 21 | 21 | 6 | 11 | 6 | 66.7% | 5.7% | 92.6% | 98.3 | DULL |
19 | Sharks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 0 | 3 | 0 | 29 | 14 | 7 | 8 | 0 | 31 | 10 | 13 | 23 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 22 | 15 | 24 | 8 | 13 | 6 | 85.7% | 20.7% | 90.3% | 111.0 | FUN |
20 | Kraken | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 35 | 6 | 9 | 20 | 0 | 28 | 11 | 10 | 24 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 23 | 14 | 22 | 7 | 13 | 6 | 40.0% | 5.7% | 89.3% | 95.0 | Unlucky |
_Vs Division | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 7 | 9 | 8 | 1.000 | 16 | 27 | 43 | 0 | 1 | 3 | 10 | 3 | 0 | 178 | 44 | 75 | 59 | 0 | 139 | 42 | 38 | 92 | 19 | 2 | 10.53% | 15 | 1 | 93.33% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 105 | 76 | 89 | 27 | 45 | 23 | 70.0% | 9.0% | 95.0% | 104.0 | LUCKY | |
_Vs Conference | 11 | 7 | 1 | 0 | 1 | 2 | 0 | 0 | 38 | 27 | 11 | 18 | 0.818 | 38 | 64 | 102 | 0 | 1 | 10 | 17 | 10 | 1 | 438 | 131 | 163 | 137 | 7 | 324 | 103 | 102 | 221 | 45 | 8 | 17.78% | 37 | 6 | 83.78% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 278 | 200 | 252 | 78 | 135 | 67 | 58.8% | 8.7% | 91.7% | 100.3 | DULL | |
_Since Last GM Reset | 22 | 13 | 5 | 0 | 2 | 2 | 0 | 0 | 88 | 60 | 28 | 32 | 0.727 | 88 | 158 | 246 | 1 | 1 | 28 | 32 | 26 | 2 | 908 | 293 | 295 | 311 | 9 | 663 | 202 | 199 | 459 | 92 | 21 | 22.83% | 78 | 19 | 75.64% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 558 | 398 | 495 | 160 | 275 | 138 | 62.0% | 9.7% | 91.0% | 100.6 | FUN | |
Total | 22 | 13 | 5 | 0 | 2 | 2 | 0 | 0 | 88 | 60 | 28 | 32 | 0.727 | 88 | 158 | 246 | 1 | 1 | 28 | 32 | 26 | 2 | 908 | 293 | 295 | 311 | 9 | 663 | 202 | 199 | 459 | 92 | 21 | 22.83% | 78 | 19 | 75.64% | 0 | 490 | 928 | 52.80% | 418 | 761 | 54.93% | 159 | 348 | 45.69% | 558 | 398 | 495 | 160 | 275 | 138 | 62.0% | 9.7% | 91.0% | 100.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 928 |
Neutral Zone Start | 348 |
Defensive Zone Start | 761 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 1067 |
Faceoffs Lost | 970 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.3 | 9.57 |
2nd Period | 26.7 | 20.31 |
3rd Period | 40.9 | 30.68 |
Overtime | 41.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.7 | 1.65 |
3rd Period | 3.9 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 66 |
---|---|
PP Goal | 21 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 7 | 8 |
Lost | 3 | 2 |
Overtime Lost | 2 | 0 |
PP Attempt | 92 |
---|---|
PP Goal | 21 |
PK Attempt | 78 |
PK Goal Against | 19 |
Home | |
---|---|
Shots For | 41.3 |
Shots Against | 30.1 |
Goals For | 4.0 |
Goals Against | 2.7 |
Hits | 20.9 |
Shots Blocked | 9.2 |
Pim | 9.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
88,224,150$ | 0$ | 87,473,765$ | -224,150$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Nationwide Arena | ||
City | Columbus | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 67810 | 56912 | 22417 | 45220 | 11368 |
Attendance PCT | 94.18% | 94.85% | 93.40% | 94.21% | 94.73% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
29 | 16977 - 94.32% | 1,558,312$ | 18,699,740$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
88,224,150$ | 88,224,150$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
26,014,028$ | 445,914$ | 25,491,719$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
45,191,038$ | 139 | 455,225$ | 63,276,275$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
65,670,025$ | 88,224,150$ | 59,554,507$ | 39,075,520$ |
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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 | Ronde 8 |
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2025 | ||||||||
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2028 | ||||||||
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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. |
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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. |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aaron Huglen | Blue Jackets | 2019 | 101 | ||
Alex Bump | Blue Jackets | 2022 | 153 | ||
Alex Cotton | Blue Jackets | 2020 | 58 | ||
Alexis Gravel | Blue Jackets | 6.5 - 6.5 | |||
Brennan Ali | Blue Jackets | 2022 | 207 | ||
Brock Gould | Blue Jackets | 2020 | 199 | ||
Caden Price | Blue Jackets | 2023 | 52 | ||
Charlie Desroches | Blue Jackets | 2020 | 156 | ||
Chase Cheslock | Blue Jackets | 2023 | 148 | ||
Dans Locmelis | Blue Jackets | 2022 | 131 | ||
Dmitri Buchelnikov | Blue Jackets | 2022 | 67 | ||
Dominic Basse | Blue Jackets | 2019 | 178 | ||
Eemeli Rasanen | Blue Jackets | 3.0 - 3.0 | |||
Ethan Hay | Blue Jackets | 2023 | 214 | ||
Frantisek Dej | Blue Jackets | 2023 | 223 | ||
Garrett Brown | Blue Jackets | 2022 | 111 | ||
Gunnarwolfe Fontaine | Blue Jackets | 2020 | 178 | ||
Jack Devine | Blue Jackets | 2022 | 163 | ||
Jacob Dion | Blue Jackets | 2020 | 133 | ||
Jacob Holmes | Blue Jackets | 2021 | 157 | ||
Jason Shaugabay | Blue Jackets | 2023 | 105 | ||
Kaden Pitre | Blue Jackets | 2024 | 184 | ||
Kalan Lind | Blue Jackets | 2023 | 55 | ||
Kienan Draper | Blue Jackets | ||||
Luke Devlin | Blue Jackets | 2022 | 191 | ||
Matthew Lahey | Blue Jackets | 2024 | 200 | ||
Matvei Gridin | Blue Jackets | 2024 | 29 | ||
Matvei Shuravin | Blue Jackets | 2024 | 53 | ||
Mike Koster | Blue Jackets | 2019 | 139 | ||
Nicholas Capone | Blue Jackets | ||||
Nikita Susuyev | Blue Jackets | 2023 | 180 | ||
Robert Orr | Blue Jackets | 2021 | 130 | ||
Ryan Healey | Blue Jackets | 2022 | 124 | ||
Sasha Mutala | Blue Jackets | 2019 | 146 | ||
Sean Tschigerl | Blue Jackets | 2021 | 142 | ||
Ty Young | Blue Jackets | 2022 | 155 | ||
Tyler Peddle | Blue Jackets | 2023 | 204 | ||
Viljami Marjala | Blue Jackets | 2021 | 156 |
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