|
|
|
|
|
|
|
|
Full Scoreboard » |
Columbus Blue Jackets 4-4-0, 8pts · 11th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pius Suter | 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$/1yrs | |||
Tomas Tatar | 0 | LW/RW | 99.00 | 66 | 33 | 90 | 73 | 65 | 83 | 89 | 71 | 56 | 72 | 68 | 65 | 74 | 84 | 76 | 36 | 75 | 0 | 33 | 5,000,000$/1yrs | |||
Teddy Blueger | 0 | C/LW | 100.00 | 72 | 37 | 85 | 67 | 71 | 83 | 85 | 65 | 83 | 71 | 59 | 88 | 61 | 72 | 71 | 57 | 75 | 0 | 30 | 2,200,000$/2yrs | |||
James van Riemsdyk | 25 | LW | 99.00 | 61 | 37 | 89 | 70 | 85 | 84 | 85 | 72 | 59 | 74 | 67 | 69 | 73 | 88 | 77 | 47 | 75 | 0 | 35 | 1,500,000$/1yrs | |||
Alexander Wennberg | 0 | C | 99.50 | 64 | 36 | 94 | 72 | 78 | 89 | 90 | 71 | 76 | 72 | 64 | 91 | 67 | 78 | 74 | 67 | 75 | 0 | 30 | 5,200,000$/2yrs | |||
Alexis Lafreniere | 0 | LW | 98.25 | 72 | 38 | 86 | 74 | 76 | 87 | 90 | 77 | 56 | 73 | 74 | 65 | 76 | 64 | 69 | 91 | 75 | 0 | 23 | 2,325,000$/1yrs | |||
Nico Sturm | 0 | C/LW | 100.00 | 72 | 40 | 92 | 66 | 85 | 83 | 86 | 65 | 88 | 62 | 64 | 81 | 62 | 70 | 72 | 36 | 75 | 0 | 29 | 2,000,000$/1yrs | |||
Sean Monahan | 0 | C | 99.00 | 61 | 36 | 92 | 73 | 81 | 88 | 80 | 74 | 85 | 77 | 75 | 78 | 72 | 79 | 75 | 70 | 75 | 0 | 30 | 5,750,000$/5yrs | |||
Jordan Martinook | 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$/3yrs | |||
Chandler Stephenson | 20 | C/LW | 99.00 | 67 | 38 | 90 | 78 | 76 | 91 | 89 | 74 | 85 | 81 | 69 | 84 | 71 | 73 | 75 | 52 | 75 | 0 | 30 | 5,000,000$/3yrs | |||
Pierre-Luc Dubois | 80 | C | 98.25 | 70 | 45 | 72 | 77 | 91 | 87 | 89 | 75 | 79 | 76 | 74 | 66 | 78 | 70 | 72 | 85 | 75 | 0 | 26 | 7,320,000$/3yrs | |||
Brandon Tanev (A) | 13 | LW/RW | 99.50 | 80 | 66 | 79 | 74 | 72 | 84 | 88 | 67 | 54 | 66 | 65 | 93 | 64 | 76 | 75 | 26 | 75 | 0 | 32 | 3,500,000$/1yrs | |||
Chris Tanev | 8 | D | 99.00 | 65 | 39 | 90 | 66 | 79 | 90 | 86 | 62 | 30 | 73 | 54 | 92 | 48 | 83 | 76 | 23 | 75 | 0 | 34 | 4,500,000$/6yrs | |||
Sean Walker | 0 | D | 99.50 | 72 | 34 | 82 | 70 | 71 | 88 | 89 | 67 | 30 | 72 | 65 | 81 | 54 | 72 | 71 | 35 | 75 | 0 | 29 | 3,875,000$/5yrs | |||
Brent Burns (A) | 88 | D | 98.25 | 63 | 39 | 88 | 74 | 95 | 93 | 90 | 72 | 30 | 82 | 73 | 83 | 59 | 94 | 80 | 32 | 75 | 0 | 39 | 8,000,000$/1yrs | |||
Tyler Myers | 0 | D | 99.00 | 72 | 77 | 71 | 66 | 99 | 90 | 89 | 61 | 30 | 75 | 57 | 87 | 49 | 86 | 74 | 45 | 75 | 0 | 34 | 3,150,000$/3yrs | |||
Jaycob Megna | 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$/1yrs | |||
Jake Walman | 46 | D | 100.00 | 66 | 39 | 77 | 72 | 81 | 90 | 84 | 71 | 30 | 70 | 73 | 89 | 58 | 69 | 71 | 53 | 75 | 0 | 28 | 3,400,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Carson Meyer | 86 | RW | 100.00 | 70 | 39 | 73 | 65 | 69 | 86 | 82 | 64 | 59 | 63 | 63 | 62 | 65 | 67 | 69 | 42 | 75 | 0 | 27 | 775,000$/1yrs | |||
Logan Couture (C) | 39 | C/LW | 0.00 | 74 | 39 | 92 | 73 | 79 | 90 | 76 | 78 | 77 | 79 | 76 | 89 | 77 | 86 | 92 | 44 | 75 | 0 | 35 | 8,000,000$/3yrs | |||
Jujhar Khaira | 13 | C/LW | 100.00 | 80 | 79 | 82 | 63 | 89 | 82 | 73 | 64 | 78 | 68 | 62 | 79 | 61 | 72 | 73 | 54 | 75 | 0 | 30 | 775,000$/1yrs | |||
Michael Kesselring | 85 | D | 100.00 | 74 | 45 | 72 | 66 | 84 | 85 | 86 | 64 | 30 | 68 | 60 | 61 | 52 | 64 | 65 | 48 | 75 | 0 | 24 | 1,400,000$/2yrs | |||
TEAM AVERAGE | 94.77 | 70 | 45 | 84 | 70 | 80 | 87 | 86 | 69 | 58 | 72 | 66 | 79 | 64 | 76 | 74 | 48 | 75 | 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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Elvis Merzlikins | 90 | 100.00 | 86 | 84 | 79 | 80 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 73 | 84 | 52 | 75 | 0 | 30 | 5,400,000$/3yrs |
Connor Ingram | 39 | 98.25 | 91 | 85 | 81 | 80 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 67 | 77 | 54 | 75 | 0 | 27 | 1,950,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 89 | 85 | 80 | 80 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 70 | 81 | 53 | 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 |
---|
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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Chandler Stephenson | Blue Jackets | 20 | C/LW | 8 | 2 | 4 | 6 | 2 | 0 | 0 | 15 | 30 | 9 | 20 | 6.67% | 1 | 18.90 | 0 | 0 | 0 | 21 | 0 | 0 | 0 | 27 | 0 | 1 | 57.99% | 169 | 0 | 0 | 0 | 0 | 0.79 | 0 | 1 | |
2 | Alexis Lafreniere | Blue Jackets | 0 | LW | 8 | 1 | 4 | 5 | -3 | 14 | 0 | 16 | 20 | 4 | 15 | 5.00% | 0 | 15.61 | 1 | 1 | 2 | 28 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | |
3 | Tyler Myers | Blue Jackets | 0 | D | 8 | 2 | 3 | 5 | 0 | 12 | 0 | 24 | 10 | 3 | 4 | 20.00% | 9 | 23.10 | 1 | 0 | 1 | 22 | 0 | 0 | 0 | 26 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
4 | Pierre-Luc Dubois | Blue Jackets | 80 | C | 8 | 1 | 4 | 5 | 3 | 7 | 5 | 7 | 17 | 4 | 13 | 5.88% | 0 | 16.11 | 0 | 2 | 2 | 28 | 0 | 0 | 0 | 0 | 1 | 0 | 47.37% | 57 | 0 | 0 | 0 | 0 | 0.78 | 0 | 1 | |
5 | Chris Tanev | Blue Jackets | 8 | D | 8 | 0 | 4 | 4 | 0 | 2 | 0 | 9 | 13 | 5 | 6 | 0.00% | 17 | 24.25 | 0 | 1 | 1 | 22 | 0 | 1 | 1 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
6 | Brent Burns | Blue Jackets | 88 | D | 8 | 0 | 4 | 4 | -2 | 4 | 0 | 7 | 10 | 6 | 9 | 0.00% | 10 | 23.65 | 0 | 1 | 1 | 28 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
7 | Tomas Tatar | Blue Jackets | 0 | LW/RW | 8 | 2 | 1 | 3 | 3 | 0 | 0 | 5 | 10 | 2 | 8 | 20.00% | 0 | 14.95 | 0 | 0 | 0 | 21 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
8 | James van Riemsdyk | Blue Jackets | 25 | LW | 8 | 2 | 1 | 3 | 0 | 2 | 0 | 6 | 21 | 3 | 17 | 9.52% | 0 | 12.17 | 1 | 1 | 2 | 29 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
9 | Sean Monahan | Blue Jackets | 0 | C | 8 | 2 | 1 | 3 | -3 | 0 | 0 | 2 | 17 | 4 | 9 | 11.76% | 2 | 14.83 | 0 | 0 | 0 | 21 | 0 | 0 | 0 | 0 | 1 | 0 | 52.15% | 163 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
10 | Brandon Tanev | Blue Jackets | 13 | LW/RW | 8 | 1 | 2 | 3 | -3 | 8 | 0 | 13 | 18 | 3 | 7 | 5.56% | 2 | 16.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 50.00% | 8 | 0 | 0 | 0 | 0 | 0.45 | 1 | 1 | |
11 | Jake Walman | Blue Jackets | 46 | D | 8 | 2 | 1 | 3 | -3 | 10 | 0 | 16 | 12 | 4 | 3 | 16.67% | 9 | 19.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
12 | Alexander Wennberg | Blue Jackets | 0 | C | 8 | 2 | 0 | 2 | -3 | 0 | 0 | 4 | 12 | 4 | 6 | 16.67% | 4 | 17.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | 0 | 50.00% | 90 | 0 | 0 | 0 | 0 | 0.29 | 0 | 1 | |
13 | Nico Sturm | Blue Jackets | 0 | C/LW | 8 | 1 | 1 | 2 | 0 | 4 | 0 | 5 | 7 | 5 | 6 | 14.29% | 0 | 9.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 58.54% | 82 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
14 | Jordan Martinook | Blue Jackets | 48 | C/LW/RW | 8 | 0 | 2 | 2 | -3 | 2 | 0 | 6 | 13 | 5 | 11 | 0.00% | 1 | 12.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
15 | Jaycob Megna | Blue Jackets | 0 | D | 8 | 0 | 2 | 2 | 0 | 6 | 0 | 4 | 4 | 0 | 4 | 0.00% | 6 | 13.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
16 | Pius Suter | Blue Jackets | 24 | C/LW | 8 | 1 | 0 | 1 | 1 | 2 | 0 | 4 | 15 | 4 | 9 | 6.67% | 0 | 9.66 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 70.00% | 10 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
17 | Sean Walker | Blue Jackets | 0 | D | 8 | 0 | 1 | 1 | 0 | 6 | 0 | 12 | 10 | 5 | 9 | 0.00% | 3 | 16.60 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | |
18 | Teddy Blueger | Blue Jackets | 0 | C/LW | 8 | 0 | 0 | 0 | -2 | 4 | 0 | 10 | 9 | 4 | 8 | 0.00% | 1 | 14.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 44.04% | 109 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 144 | 19 | 35 | 54 | -13 | 83 | 5 | 165 | 248 | 74 | 164 | 7.66% | 65 | 16.31 | 3 | 6 | 9 | 255 | 1 | 1 | 2 | 273 | 3 | 3 | 52.32% | 711 | 0 | 0 | 0 | 0 | 0.46 | 1 | 4 |
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 | Connor Ingram | Blue Jackets | 8 | 4 | 4 | 0 | 0.906 | 2.84 | 486 | 0 | 0 | 23 | 244 | 0 | 1 | 1 | 1.000 | 4 | 8 | 0 | 1 | 0 | 1 |
Team Total or Average | 8 | 4 | 4 | 0 | 0.906 | 2.84 | 486 | 0 | 0 | 23 | 244 | 0 | 1 | 1 | 1.000 | 4 | 8 | 0 | 1 | 0 | 1 |
Projected Total Cap Hit | 78,664,346$ |
Projected Cap Space | 9,335,654$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 10,028,708$ |
Players In Salary Cap | 24 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Wennberg | C | 30 | 5,200,000$ | 5,200,000$ | 5,200,000$ | RFA | |||||
Alexis Lafreniere | LW | 23 | 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 | ||||||
Carson Meyer | RW | 27 | 775,000$ | 775,000$ | RFA | ||||||
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$ | RFA | |||||
James van Riemsdyk | LW | 35 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Jaycob Megna | D | 31 | 775,000$ | 775,000$ | RFA | ||||||
Jordan Martinook | C/LW/RW | 32 | 3,050,000$ | 3,050,000$ | 3,050,000$ | 3,050,000$ | UFA | ||||
Jujhar Khaira | C/LW | 30 | 775,000$ | 775,000$ | RFA | ||||||
Logan Couture | C/LW | 35 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Michael Kesselring | D | 24 | 1,400,000$ | 1,400,000$ | 1,400,000$ | RFA | |||||
Nico Sturm | C/LW | 29 | 2,000,000$ | 2,000,000$ | RFA | ||||||
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 | ||||||
Sean Monahan | C | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||
Sean Walker | D/G | 29 | 3,875,000$ | 3,875,000$ | 3,875,000$ | 3,875,000$ | 3,875,000$ | 3,875,000$ | UFA | ||
Teddy Blueger | C/LW | 30 | 2,200,000$ | 2,200,000$ | 2,200,000$ | RFA | |||||
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 | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Avalanche | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 31 | 5 | 8 | 18 | 0 | 26 | 9 | 4 | 29 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 143 | 295 | 48.47% | 167 | 299 | 55.85% | 62 | 107 | 57.94% | 23 | 16 | 23 | 8 | 12 | 5 | 66.7% | 9.7% | 96.2% | 105.8 | LUCKY |
2 | Maple Leafs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 13 | 12 | 5 | 0 | 36 | 10 | 16 | 16 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 143 | 295 | 48.47% | 167 | 299 | 55.85% | 62 | 107 | 57.94% | 22 | 13 | 24 | 8 | 12 | 5 | 0.0% | 0.0% | 91.7% | 91.7 | DULL |
3 | Predators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 1 | 0 | 2 | 0 | 28 | 5 | 12 | 11 | 0 | 23 | 7 | 12 | 20 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 1 | 143 | 295 | 48.47% | 167 | 299 | 55.85% | 62 | 107 | 57.94% | 23 | 16 | 23 | 7 | 13 | 6 | 33.3% | 10.7% | 78.3% | 89.0 | FUN |
4 | Sabres | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 30 | 12 | 9 | 9 | 0 | 32 | 14 | 15 | 19 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 143 | 295 | 48.47% | 167 | 299 | 55.85% | 62 | 107 | 57.94% | 21 | 13 | 26 | 7 | 12 | 5 | 20.0% | 3.3% | 87.5% | 90.8 | Unlucky |
5 | Oilers | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 2 | 1 | 44 | 12 | 14 | 15 | 3 | 32 | 7 | 6 | 25 | 9 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 143 | 295 | 48.47% | 167 | 299 | 55.85% | 62 | 107 | 57.94% | 28 | 19 | 21 | 7 | 12 | 6 | 66.7% | 9.1% | 90.6% | 99.7 | FUN |
6 | Panthers | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 0 | 1 | 32 | 7 | 10 | 12 | 7 | 40 | 6 | 8 | 17 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 143 | 295 | 48.47% | 167 | 299 | 55.85% | 62 | 107 | 57.94% | 26 | 18 | 25 | 8 | 13 | 7 | 66.7% | 9.4% | 95.0% | 104.4 | LUCKY |
7 | Wild | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 53 | 21 | 15 | 17 | 0 | 56 | 12 | 22 | 39 | 6 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 143 | 295 | 48.47% | 167 | 299 | 55.85% | 62 | 107 | 57.94% | 48 | 33 | 47 | 14 | 23 | 11 | 54.5% | 11.3% | 89.3% | 100.6 | FUN |
_Vs Conference | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 4 | 9 | -5 | 2 | 0.333 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 0 | 1 | 92 | 32 | 31 | 26 | 7 | 108 | 30 | 39 | 52 | 7 | 1 | 14.29% | 17 | 3 | 82.35% | 0 | 143 | 295 | 48.47% | 167 | 299 | 55.85% | 62 | 107 | 57.94% | 69 | 46 | 76 | 24 | 38 | 18 | 33.3% | 4.3% | 91.7% | 96.0 | DULL | |
_Since Last GM Reset | 8 | 2 | 4 | 0 | 1 | 0 | 1 | 0 | 20 | 24 | -4 | 8 | 0.500 | 20 | 35 | 55 | 1 | 0 | 5 | 6 | 7 | 2 | 248 | 75 | 80 | 87 | 10 | 245 | 65 | 83 | 165 | 31 | 3 | 9.68% | 39 | 6 | 84.62% | 1 | 143 | 295 | 48.47% | 167 | 299 | 55.85% | 62 | 107 | 57.94% | 194 | 132 | 192 | 62 | 99 | 49 | 48.6% | 8.1% | 90.2% | 98.3 | Unlucky | |
Total | 8 | 2 | 4 | 0 | 1 | 0 | 1 | 0 | 20 | 24 | -4 | 8 | 0.500 | 20 | 35 | 55 | 1 | 0 | 5 | 6 | 7 | 2 | 248 | 75 | 80 | 87 | 10 | 245 | 65 | 83 | 165 | 31 | 3 | 9.68% | 39 | 6 | 84.62% | 1 | 143 | 295 | 48.47% | 167 | 299 | 55.85% | 62 | 107 | 57.94% | 194 | 132 | 192 | 62 | 99 | 49 | 48.6% | 8.1% | 90.2% | 98.3 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 295 |
Neutral Zone Start | 107 |
Defensive Zone Start | 299 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 372 |
Faceoffs Lost | 329 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 19.4 | 20.31 |
3rd Period | 30.3 | 30.68 |
Overtime | 31.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 15 |
---|---|
PP Goal | 3 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 1 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 31 |
---|---|
PP Goal | 3 |
PK Attempt | 39 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 31.0 |
Shots Against | 30.6 |
Goals For | 2.5 |
Goals Against | 3.0 |
Hits | 20.6 |
Shots Blocked | 8.1 |
Pim | 10.4 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,445,000$ | 0$ | 78,664,346$ | 9,335,654$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Nationwide Arena | ||
City | Columbus | ||
Capacity | 18144 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1144 |
Ticket Price | 105$ | 90$ | 75$ | 38$ | 180$ |
Attendance | 26297 | 22506 | 9828 | 17361 | 5032 |
Attendance PCT | 87.66% | 90.02% | 98.28% | 86.81% | 87.97% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
36 | 16205 - 89.31% | 1,772,326$ | 8,861,629$ | 18144 | 90 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,445,000$ | 79,445,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
10,515,950$ | 401,378$ | 10,028,708$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
63,803,729$ | 171 | 420,638$ | 71,929,098$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
74,896,618$ | 78,664,346$ | 94,869,101$ | 87,202,252$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
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 | Blue Jackets | 2021 | 48 | ELC 2022-23 (slide) | Link |
Alex Gagne | Blue Jackets | 2021 | 179 | ||
Alexander Tracy | Blue Jackets | 2020 | 157 | ||
Artem Shlaine | Blue Jackets | 2020 | 148 | ||
Arvid Costmar | Blue Jackets | 2019 | 215 | ||
Brian Zanetti | Blue Jackets | 2021 | 115 | ||
Chase Clark | Blue Jackets | 2021 | 201 | ||
Daniil Karpovich | Blue Jackets | 2023 | 80 | ||
Dmitri Simashev | Blue Jackets | 2023 | 20 | ||
Dylan James | Blue Jackets | 2022 | 74 | ||
Eliot L'Italien | Blue Jackets | 2024 | 185 | ||
Hudson Malinoski | Blue Jackets | 2023 | 116 | ||
Isac Hedqvist | Blue Jackets | 2024 | 189 | ||
Ivan Vorobyov | Blue Jackets | 2021 | 220 | ||
Joshua Niedermayer | Blue Jackets | 2022 | 153 | ||
Julius Miettinen | Blue Jackets | 2024 | 29 | ||
Kristian Tanus | Blue Jackets | 2020 | 188 | ||
Liam Gorman | Blue Jackets | 2018 | 182 | ||
Logan Crosby | Blue Jackets | 2024 | 157 | ||
Luca Munzenberger | Blue Jackets | 2021 | 105 | ||
Michael Mastrodomenico | Blue Jackets | 2022 | 170 | ||
Miroslav Holinka | Blue Jackets | 2024 | 221 | ||
Raoul Boilard | Blue Jackets | 2024 | 61 | ||
Rasmus Larsson | Blue Jackets | 2023 | 148 | ||
Rastislav Elias | Blue Jackets | 2022 | 202 | ||
Roman Shokhrin | Blue Jackets | 2024 | 122 | ||
Ty Halaburda | Blue Jackets | 2023 | 180 | ||
Tyson Galloway | Blue Jackets | 2021 | 156 | ||
Vinzenz Rohrer | Blue Jackets | 2022 | 106 | ||
Vladimir Mikhalyov | Blue Jackets | 2024 | 125 | ||
Vladislav Yeryomenko | Blue Jackets | 2018 | 151 |
|