|
|
|
Full Scoreboard »» |
|
|
|
Full Scoreboard »» |
Columbus Blue Jackets 6-5-1, 13pts · 11th in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Michael Rasmussen | 0 | C/LW | 100.00 | 82 | 56 | 82 | 75 | 85 | 69 | 83 | 65 | 48 | 72 | 70 | 81 | 25 | 66 | 66 | 74 | 50 | 0 | 24 | 1,460,000$/1yrs | |||
Artturi Lehkonen | 0 | RW | 100.00 | 76 | 43 | 90 | 79 | 67 | 78 | 72 | 84 | 35 | 79 | 86 | 73 | 25 | 73 | 76 | 81 | 50 | 0 | 28 | 4,500,000$/4yrs | |||
Jeff Skinner | 0 | RW | 100.00 | 63 | 41 | 86 | 83 | 69 | 72 | 94 | 84 | 43 | 75 | 83 | 62 | 40 | 85 | 85 | 78 | 50 | 0 | 31 | 9,000,000$/4yrs | |||
Blake Lizotte | 0 | C | 100.00 | 75 | 42 | 89 | 82 | 59 | 61 | 89 | 63 | 66 | 61 | 60 | 73 | 25 | 66 | 67 | 67 | 50 | 0 | 25 | 1,675,000$/1yrs | |||
Seth Jarvis | 0 | RW | 100.00 | 79 | 43 | 94 | 88 | 62 | 79 | 99 | 85 | 57 | 80 | 88 | 78 | 25 | 64 | 66 | 85 | 50 | 0 | 21 | 925,000$/1yrs | |||
Jake Guentzel | 0 | C/RW | 100.00 | 69 | 42 | 89 | 89 | 66 | 84 | 90 | 95 | 33 | 89 | 90 | 62 | 50 | 71 | 73 | 85 | 50 | 0 | 28 | 6,000,000$/1yrs | |||
Jesper Fast | 0 | RW | 100.00 | 76 | 44 | 92 | 76 | 71 | 63 | 94 | 63 | 38 | 64 | 58 | 72 | 75 | 76 | 80 | 67 | 50 | 0 | 31 | 2,400,000$/2yrs | |||
Chandler Stephenson | 0 | C/LW | 100.00 | 67 | 53 | 89 | 87 | 75 | 78 | 95 | 83 | 93 | 82 | 72 | 75 | 35 | 72 | 77 | 77 | 50 | 0 | 29 | 2,750,000$/1yrs | |||
Claude Giroux | 0 | C/RW | 100.00 | 65 | 41 | 89 | 83 | 67 | 84 | 99 | 86 | 98 | 83 | 77 | 78 | 61 | 91 | 92 | 80 | 50 | 0 | 35 | 6,500,000$/2yrs | |||
Joey Anderson | 0 | RW | 100.00 | 73 | 43 | 94 | 76 | 67 | 65 | 86 | 65 | 25 | 67 | 59 | 79 | 25 | 60 | 60 | 68 | 50 | 0 | 25 | 800,000$/1yrs | |||
Conor Sheary | 0 | RW | 100.00 | 61 | 40 | 92 | 82 | 61 | 58 | 87 | 63 | 35 | 65 | 58 | 69 | 53 | 74 | 77 | 65 | 50 | 0 | 31 | 2,000,000$/3yrs | |||
Mikael Granlund | 0 | C/RW | 100.00 | 73 | 43 | 86 | 79 | 66 | 85 | 91 | 86 | 84 | 89 | 70 | 82 | 60 | 78 | 81 | 79 | 50 | 0 | 31 | 5,000,000$/2yrs | |||
Brian Dumoulin | 0 | D | 100.00 | 73 | 44 | 91 | 80 | 78 | 71 | 98 | 61 | 25 | 50 | 49 | 75 | 25 | 75 | 78 | 63 | 50 | 0 | 32 | 3,150,000$/2yrs | |||
Brandon Carlo | 0 | D | 100.00 | 83 | 46 | 84 | 83 | 81 | 79 | 93 | 65 | 25 | 50 | 48 | 96 | 25 | 73 | 76 | 67 | 50 | 0 | 26 | 4,100,000$/4yrs | |||
Brandon Montour | 0 | D | 100.00 | 81 | 44 | 80 | 86 | 68 | 88 | 90 | 97 | 25 | 68 | 53 | 73 | 75 | 72 | 75 | 70 | 50 | 0 | 29 | 3,500,000$/1yrs | |||
Alex Vlasic | 0 | D | 100.00 | 69 | 66 | 83 | 79 | 80 | 83 | 85 | 66 | 25 | 53 | 48 | 92 | 25 | 56 | 56 | 65 | 50 | 0 | 22 | 916,667$/1yrs | |||
Spencer Stastney | 0 | D | 100.00 | 57 | 40 | 93 | 75 | 65 | 68 | 81 | 62 | 25 | 49 | 50 | 84 | 25 | 46 | 46 | 62 | 50 | 0 | 23 | 925,000$/1yrs | |||
Esa Lindell | 0 | D | 100.00 | 73 | 44 | 94 | 81 | 80 | 80 | 99 | 64 | 25 | 60 | 48 | 99 | 25 | 74 | 76 | 69 | 50 | 0 | 29 | 5,800,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Jack McBain | 0 | C/LW | 100.00 | 95 | 89 | 79 | 77 | 83 | 63 | 92 | 63 | 76 | 72 | 62 | 75 | 25 | 60 | 60 | 70 | 50 | 0 | 23 | 1,599,999$/2yrs | |||
TEAM AVERAGE | 100.00 | 73 | 48 | 88 | 81 | 71 | 74 | 90 | 74 | 46 | 69 | 65 | 78 | 38 | 70 | 72 | 72 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jake Allen | 0 | 100.00 | 62 | 68 | 68 | 76 | 65 | 58 | 69 | 64 | 65 | 62 | 91 | 69 | 72 | 65 | 50 | 0 | 33 | 3,850,000$/2yrs |
Jordan Binnington | 0 | 100.00 | 80 | 89 | 85 | 65 | 78 | 82 | 70 | 81 | 83 | 80 | 84 | 65 | 68 | 80 | 50 | 0 | 30 | 6,000,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 71 | 79 | 77 | 71 | 72 | 70 | 70 | 73 | 74 | 71 | 88 | 67 | 70 | 73 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pierrick Dube (R) | 0 | RW | 100.00 | 66 | 61 | 77 | 66 | 61 | 71 | 73 | 63 | 50 | 56 | 67 | 60 | 64 | 44 | 44 | 64 | 54 | 0 | 22 | 575,000$/1yrs | |||
Kaedan Korczak | 0 | D | 100.00 | 82 | 45 | 90 | 73 | 73 | 69 | 72 | 65 | 25 | 64 | 48 | 71 | 25 | 47 | 47 | 63 | 54 | 0 | 22 | 795,000$/1yrs | |||
Filip Roos | 0 | D | 100.00 | 77 | 72 | 89 | 65 | 72 | 68 | 74 | 48 | 25 | 40 | 40 | 62 | 38 | 45 | 45 | 53 | 54 | 0 | 24 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Alexander Barabanov | 0 | LW/RW | 100.00 | 67 | 42 | 91 | 80 | 68 | 72 | 74 | 77 | 35 | 65 | 59 | 65 | 38 | 63 | 63 | 66 | 32 | 0 | 29 | 2,500,000$/1yrs | |||
Bokondji Imama | 0 | LW | 100.00 | 69 | 80 | 42 | 66 | 80 | 68 | 74 | 49 | 50 | 46 | 46 | 58 | 44 | 45 | 45 | 52 | 32 | 0 | 27 | 775,000$/1yrs | |||
Riley Tufte | 0 | LW | 100.00 | 78 | 85 | 63 | 68 | 85 | 79 | 84 | 62 | 50 | 57 | 62 | 66 | 59 | 45 | 45 | 64 | 32 | 0 | 25 | 775,000$/1yrs | |||
John Leonard | 0 | RW | 100.00 | 73 | 67 | 88 | 72 | 67 | 81 | 87 | 59 | 50 | 57 | 57 | 63 | 54 | 45 | 45 | 63 | 32 | 0 | 25 | 775,000$/1yrs | |||
Andreas Englund | 0 | D | 100.00 | 88 | 99 | 73 | 70 | 75 | 61 | 89 | 60 | 25 | 49 | 47 | 73 | 25 | 59 | 59 | 61 | 32 | 0 | 27 | 1,000,000$/2yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Pascal Simoneau |
---|
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 | Jake Guentzel | Blue Jackets | 0 | C/RW | 12 | 5 | 11 | 16 | 5 | 4 | 0 | 14 | 54 | 12 | 36 | 9.26% | 10 | 22.47 | 0 | 3 | 3 | 31 | 0 | 0 | 0 | 27 | 1 | 0 | 31.82% | 22 | 13 | 3 | 0 | 0 | 1.19 | 0 | 0 | |
2 | Chandler Stephenson | Blue Jackets | 0 | C/LW | 12 | 5 | 7 | 12 | 4 | 4 | 0 | 18 | 45 | 14 | 23 | 11.11% | 9 | 20.14 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 2 | 1 | 0 | 59.14% | 279 | 2 | 3 | 1 | 0 | 0.99 | 0 | 0 | |
3 | Claude Giroux | Blue Jackets | 0 | C/RW | 12 | 7 | 5 | 12 | 3 | 6 | 0 | 22 | 41 | 18 | 25 | 17.07% | 5 | 19.41 | 2 | 0 | 2 | 31 | 0 | 0 | 0 | 25 | 2 | 0 | 57.82% | 211 | 7 | 1 | 0 | 0 | 1.03 | 0 | 0 | |
4 | Seth Jarvis | Blue Jackets | 0 | RW | 12 | 6 | 4 | 10 | 6 | 0 | 0 | 30 | 47 | 16 | 27 | 12.77% | 4 | 20.39 | 2 | 0 | 2 | 24 | 0 | 0 | 0 | 14 | 0 | 0 | 18.75% | 16 | 10 | 10 | 0 | 0 | 0.82 | 0 | 0 | |
5 | Mikael Granlund | Blue Jackets | 0 | C/RW | 12 | 4 | 5 | 9 | 1 | 2 | 0 | 18 | 28 | 9 | 17 | 14.29% | 4 | 13.84 | 1 | 2 | 3 | 25 | 0 | 0 | 0 | 14 | 0 | 0 | 52.94% | 102 | 7 | 1 | 0 | 0 | 1.08 | 0 | 0 | |
6 | Artturi Lehkonen | Blue Jackets | 0 | RW | 12 | 1 | 6 | 7 | 2 | 7 | 5 | 18 | 31 | 9 | 22 | 3.23% | 6 | 14.75 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 3 | 2 | 0 | 0 | 0.79 | 0 | 0 | |
7 | Brandon Carlo | Blue Jackets | 0 | D | 12 | 0 | 7 | 7 | 2 | 25 | 5 | 27 | 14 | 11 | 11 | 0.00% | 17 | 26.65 | 0 | 1 | 1 | 32 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 1 | 11 | 0 | 0 | 0.44 | 0 | 0 | |
8 | Jeff Skinner | Blue Jackets | 0 | RW | 12 | 5 | 2 | 7 | 3 | 4 | 0 | 11 | 40 | 9 | 9 | 12.50% | 4 | 14.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 22.22% | 9 | 6 | 3 | 0 | 0 | 0.81 | 0 | 0 | |
9 | Brandon Montour | Blue Jackets | 0 | D | 12 | 0 | 6 | 6 | 1 | 11 | 5 | 22 | 21 | 7 | 5 | 0.00% | 7 | 19.73 | 0 | 2 | 2 | 23 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 2 | 4 | 0 | 0 | 0.51 | 0 | 0 | |
10 | Alex Vlasic | Blue Jackets | 0 | D | 12 | 0 | 5 | 5 | 1 | 8 | 0 | 3 | 5 | 3 | 8 | 0.00% | 9 | 19.84 | 0 | 1 | 1 | 24 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 2 | 7 | 0 | 0 | 0.42 | 0 | 0 | |
11 | Michael Rasmussen | Blue Jackets | 0 | C/LW | 12 | 0 | 4 | 4 | 0 | 7 | 5 | 21 | 9 | 8 | 8 | 0.00% | 1 | 13.50 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 9 | 0 | 0 | 20.00% | 5 | 6 | 2 | 0 | 0 | 0.49 | 0 | 0 | |
12 | Conor Sheary | Blue Jackets | 0 | RW | 12 | 3 | 1 | 4 | 1 | 2 | 0 | 11 | 22 | 4 | 6 | 13.64% | 1 | 11.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 2 | 0 | 36.36% | 11 | 3 | 2 | 0 | 0 | 0.56 | 0 | 0 | |
13 | Brian Dumoulin | Blue Jackets | 0 | D | 12 | 1 | 2 | 3 | 4 | 2 | 0 | 8 | 5 | 1 | 5 | 20.00% | 12 | 13.04 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.38 | 0 | 0 | |
14 | Joey Anderson | Blue Jackets | 0 | RW | 12 | 3 | 0 | 3 | -1 | 0 | 0 | 4 | 13 | 2 | 6 | 23.08% | 6 | 8.32 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 1 | 2 | 0 | 0 | 0.60 | 0 | 0 | |
15 | Spencer Stastney | Blue Jackets | 0 | D | 12 | 0 | 2 | 2 | 5 | 2 | 0 | 1 | 6 | 5 | 0 | 0.00% | 13 | 13.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.25 | 0 | 0 | |
16 | Blake Lizotte | Blue Jackets | 0 | C | 12 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 6 | 8 | 6 | 0.00% | 1 | 7.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 36 | 5 | 3 | 0 | 0 | 0.21 | 0 | 0 | |
17 | Jesper Fast | Blue Jackets | 0 | RW | 12 | 0 | 1 | 1 | -2 | 2 | 0 | 9 | 15 | 4 | 8 | 0.00% | 2 | 8.53 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 2 | 3 | 0 | 0 | 0.20 | 0 | 0 | |
18 | Esa Lindell | Blue Jackets | 0 | D | 12 | 0 | 1 | 1 | 2 | 2 | 0 | 17 | 16 | 6 | 7 | 0.00% | 16 | 27.47 | 0 | 0 | 0 | 33 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 3 | 13 | 0 | 0 | 0.06 | 0 | 0 | |
Team Total or Average | 216 | 40 | 70 | 110 | 37 | 90 | 20 | 254 | 418 | 146 | 229 | 9.57% | 127 | 16.41 | 6 | 9 | 15 | 291 | 0 | 0 | 0 | 214 | 6 | 1 | 53.56% | 702 | 74 | 79 | 1 | 0 | 0.62 | 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 | Jordan Binnington | Blue Jackets | 12 | 6 | 4 | 1 | 0.881 | 3.52 | 647 | 0 | 0 | 38 | 318 | 147 | 1 | 0 | 0.000 | 0 | 12 | 0 | 2 | 0 | 1 |
2 | Jake Allen | Blue Jackets | 2 | 0 | 1 | 0 | 0.906 | 2.54 | 71 | 0 | 0 | 3 | 32 | 23 | 0 | 0 | 0.000 | 0 | 0 | 12 | 0 | 0 | 0 |
Team Total or Average | 14 | 6 | 5 | 1 | 0.883 | 3.42 | 719 | 0 | 0 | 41 | 350 | 170 | 1 | 0 | 0.000 | 0 | 12 | 12 | 2 | 0 | 1 |
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 | Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 35 | 13 | 10 | 12 | 0 | 34 | 13 | 8 | 22 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 20 | 12 | 23 | 8 | 16 | 7 | 50.0% | 11.4% | 85.3% | 96.7 | FUN |
2 | Avalanche | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 41 | 10 | 19 | 12 | 0 | 28 | 10 | 2 | 19 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 24 | 15 | 18 | 7 | 16 | 9 | 75.0% | 7.3% | 96.4% | 103.7 | DULL |
3 | Capitals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 46 | 12 | 14 | 20 | 0 | 25 | 11 | 4 | 22 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 23 | 15 | 19 | 8 | 16 | 8 | 100.0% | 8.7% | 96.0% | 104.7 | DULL |
4 | Maple Leafs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 36 | 7 | 11 | 18 | 0 | 33 | 12 | 8 | 26 | 1 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 21 | 12 | 20 | 9 | 17 | 8 | 40.0% | 5.6% | 84.8% | 90.4 | Unlucky |
5 | Predators | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 37 | 7 | 10 | 20 | 0 | 28 | 8 | 4 | 25 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 20 | 11 | 21 | 9 | 17 | 8 | 75.0% | 8.1% | 96.4% | 104.5 | DULL |
6 | Jets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 33 | 12 | 9 | 12 | 0 | 24 | 8 | 10 | 20 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 20 | 12 | 22 | 9 | 17 | 8 | 100.0% | 12.1% | 91.7% | 103.8 | LUCKY |
7 | Oilers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 5 | 12 | 17 | 0 | 26 | 13 | 18 | 23 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 23 | 13 | 17 | 8 | 19 | 9 | 20.0% | 2.9% | 76.9% | 79.9 | Unlucky |
8 | Sabres | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 34 | 15 | 11 | 8 | 0 | 28 | 8 | 9 | 16 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 21 | 12 | 21 | 8 | 16 | 8 | 33.3% | 14.7% | 78.6% | 93.3 | FUN |
9 | Sharks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 26 | 15 | 6 | 5 | 0 | 31 | 12 | 4 | 17 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 23 | 12 | 18 | 8 | 18 | 10 | 20.0% | 7.7% | 83.9% | 91.6 | Unlucky |
10 | Panthers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 35 | 10 | 15 | 10 | 0 | 26 | 10 | 7 | 29 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 22 | 12 | 19 | 9 | 17 | 9 | 60.0% | 11.4% | 92.3% | 103.7 | LUCKY |
11 | Wild | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 4 | 3 | 1 | 0 | 61 | 20 | 28 | 13 | 0 | 67 | 22 | 16 | 35 | 5 | 1 | 20.00% | 7 | 5 | 28.57% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 38 | 23 | 48 | 18 | 32 | 15 | 77.8% | 13.1% | 89.6% | 102.7 | FUN |
_Vs Division | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 2 | 2 | 4 | 0 | 81 | 25 | 24 | 32 | 0 | 59 | 24 | 12 | 44 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 43 | 28 | 43 | 17 | 33 | 15 | 66.7% | 9.9% | 89.8% | 99.7 | FUN | |
_Vs Conference | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 19 | 19 | 0 | 5 | 0.500 | 19 | 33 | 52 | 0 | 0 | 3 | 8 | 8 | 0 | 186 | 57 | 61 | 68 | 0 | 146 | 54 | 36 | 115 | 13 | 3 | 23.08% | 14 | 4 | 71.43% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 109 | 66 | 105 | 44 | 85 | 42 | 51.6% | 10.2% | 87.0% | 97.2 | FUN | |
_Since Last GM Reset | 12 | 6 | 5 | 0 | 0 | 1 | 0 | 0 | 40 | 41 | -1 | 13 | 0.542 | 40 | 70 | 110 | 0 | 0 | 11 | 14 | 15 | 0 | 418 | 126 | 145 | 147 | 0 | 350 | 127 | 90 | 254 | 35 | 6 | 17.14% | 35 | 14 | 60.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 260 | 154 | 252 | 106 | 207 | 104 | 55.7% | 9.6% | 88.3% | 97.9 | FUN | |
Total | 12 | 6 | 5 | 0 | 0 | 1 | 0 | 0 | 40 | 41 | -1 | 13 | 0.542 | 40 | 70 | 110 | 0 | 0 | 11 | 14 | 15 | 0 | 418 | 126 | 145 | 147 | 0 | 350 | 127 | 90 | 254 | 35 | 6 | 17.14% | 35 | 14 | 60.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 260 | 154 | 252 | 106 | 207 | 104 | 55.7% | 9.6% | 88.3% | 97.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 255 |
Neutral Zone Start | 193 |
Defensive Zone Start | 253 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 376 |
Faceoffs Lost | 325 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 22.6 | 20.31 |
3rd Period | 34.8 | 30.68 |
Overtime | 34.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 34 |
---|---|
PP Goal | 6 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 4 |
Lost | 4 | 1 |
Overtime Lost | 1 | 0 |
PP Attempt | 35 |
---|---|
PP Goal | 6 |
PK Attempt | 35 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 34.8 |
Shots Against | 29.2 |
Goals For | 3.3 |
Goals Against | 3.4 |
Hits | 21.2 |
Shots Blocked | 10.6 |
Pim | 7.5 |
Projected Total Cap Hit | 72,851,666$ |
Projected Cap Space | 10,648,334$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 12,637,528$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Vlasic | D | 22 | 916,667$ | 916,667$ | |||||||
Artturi Lehkonen | RW | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||
Blake Lizotte | C | 25 | 1,675,000$ | 1,675,000$ | |||||||
Brandon Carlo | D | 26 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | ||||
Brandon Montour | D | 29 | 3,500,000$ | 3,500,000$ | |||||||
Brian Dumoulin | D | 32 | 3,150,000$ | 3,150,000$ | 3,150,000$ | ||||||
Chandler Stephenson | C/LW | 29 | 2,750,000$ | 2,750,000$ | |||||||
Claude Giroux | C/RW | 35 | 6,500,000$ | 6,500,000$ | 6,500,000$ | ||||||
Conor Sheary | RW | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
Esa Lindell | D | 29 | 5,800,000$ | 5,800,000$ | 5,800,000$ | ||||||
Jack McBain | C/LW | 23 | 1,599,999$ | 1,599,999$ | 1,599,999$ | ||||||
Jake Allen | G | 33 | 3,850,000$ | 3,850,000$ | 3,850,000$ | ||||||
Jake Guentzel | C/RW | 28 | 6,000,000$ | 6,000,000$ | |||||||
Jeff Skinner | RW | 31 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | ||||
Jesper Fast | RW | 31 | 2,400,000$ | 2,400,000$ | 2,400,000$ | ||||||
Joey Anderson | RW | 25 | 800,000$ | 800,000$ | |||||||
Jordan Binnington | G | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||
Michael Rasmussen | C/LW | 24 | 1,460,000$ | 1,460,000$ | |||||||
Mikael Granlund | C/RW | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Seth Jarvis | RW | 21 | 925,000$ | 925,000$ | |||||||
Spencer Stastney | D | 23 | 925,000$ | 925,000$ |
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 | Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 35 | 13 | 10 | 12 | 0 | 34 | 13 | 8 | 22 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 20 | 12 | 23 | 8 | 16 | 7 | 50.0% | 11.4% | 85.3% | 96.7 | FUN |
2 | Avalanche | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 41 | 10 | 19 | 12 | 0 | 28 | 10 | 2 | 19 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 24 | 15 | 18 | 7 | 16 | 9 | 75.0% | 7.3% | 96.4% | 103.7 | DULL |
3 | Capitals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 46 | 12 | 14 | 20 | 0 | 25 | 11 | 4 | 22 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 23 | 15 | 19 | 8 | 16 | 8 | 100.0% | 8.7% | 96.0% | 104.7 | DULL |
4 | Maple Leafs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 36 | 7 | 11 | 18 | 0 | 33 | 12 | 8 | 26 | 1 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 21 | 12 | 20 | 9 | 17 | 8 | 40.0% | 5.6% | 84.8% | 90.4 | Unlucky |
5 | Predators | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 37 | 7 | 10 | 20 | 0 | 28 | 8 | 4 | 25 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 20 | 11 | 21 | 9 | 17 | 8 | 75.0% | 8.1% | 96.4% | 104.5 | DULL |
6 | Jets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 33 | 12 | 9 | 12 | 0 | 24 | 8 | 10 | 20 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 20 | 12 | 22 | 9 | 17 | 8 | 100.0% | 12.1% | 91.7% | 103.8 | LUCKY |
7 | Oilers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 5 | 12 | 17 | 0 | 26 | 13 | 18 | 23 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 23 | 13 | 17 | 8 | 19 | 9 | 20.0% | 2.9% | 76.9% | 79.9 | Unlucky |
8 | Sabres | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 34 | 15 | 11 | 8 | 0 | 28 | 8 | 9 | 16 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 21 | 12 | 21 | 8 | 16 | 8 | 33.3% | 14.7% | 78.6% | 93.3 | FUN |
9 | Sharks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 26 | 15 | 6 | 5 | 0 | 31 | 12 | 4 | 17 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 23 | 12 | 18 | 8 | 18 | 10 | 20.0% | 7.7% | 83.9% | 91.6 | Unlucky |
10 | Panthers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 35 | 10 | 15 | 10 | 0 | 26 | 10 | 7 | 29 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 22 | 12 | 19 | 9 | 17 | 9 | 60.0% | 11.4% | 92.3% | 103.7 | LUCKY |
11 | Wild | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 4 | 3 | 1 | 0 | 61 | 20 | 28 | 13 | 0 | 67 | 22 | 16 | 35 | 5 | 1 | 20.00% | 7 | 5 | 28.57% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 38 | 23 | 48 | 18 | 32 | 15 | 77.8% | 13.1% | 89.6% | 102.7 | FUN |
_Vs Division | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 2 | 2 | 4 | 0 | 81 | 25 | 24 | 32 | 0 | 59 | 24 | 12 | 44 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 43 | 28 | 43 | 17 | 33 | 15 | 66.7% | 9.9% | 89.8% | 99.7 | FUN | |
_Vs Conference | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 19 | 19 | 0 | 5 | 0.500 | 19 | 33 | 52 | 0 | 0 | 3 | 8 | 8 | 0 | 186 | 57 | 61 | 68 | 0 | 146 | 54 | 36 | 115 | 13 | 3 | 23.08% | 14 | 4 | 71.43% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 109 | 66 | 105 | 44 | 85 | 42 | 51.6% | 10.2% | 87.0% | 97.2 | FUN | |
_Since Last GM Reset | 12 | 6 | 5 | 0 | 0 | 1 | 0 | 0 | 40 | 41 | -1 | 13 | 0.542 | 40 | 70 | 110 | 0 | 0 | 11 | 14 | 15 | 0 | 418 | 126 | 145 | 147 | 0 | 350 | 127 | 90 | 254 | 35 | 6 | 17.14% | 35 | 14 | 60.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 260 | 154 | 252 | 106 | 207 | 104 | 55.7% | 9.6% | 88.3% | 97.9 | FUN | |
Total | 12 | 6 | 5 | 0 | 0 | 1 | 0 | 0 | 40 | 41 | -1 | 13 | 0.542 | 40 | 70 | 110 | 0 | 0 | 11 | 14 | 15 | 0 | 418 | 126 | 145 | 147 | 0 | 350 | 127 | 90 | 254 | 35 | 6 | 17.14% | 35 | 14 | 60.00% | 0 | 141 | 255 | 55.29% | 125 | 253 | 49.41% | 110 | 193 | 56.99% | 260 | 154 | 252 | 106 | 207 | 104 | 55.7% | 9.6% | 88.3% | 97.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 255 |
Neutral Zone Start | 193 |
Defensive Zone Start | 253 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 376 |
Faceoffs Lost | 325 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 22.6 | 20.31 |
3rd Period | 34.8 | 30.68 |
Overtime | 34.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 34 |
---|---|
PP Goal | 6 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 4 |
Lost | 4 | 1 |
Overtime Lost | 1 | 0 |
PP Attempt | 35 |
---|---|
PP Goal | 6 |
PK Attempt | 35 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 34.8 |
Shots Against | 29.2 |
Goals For | 3.3 |
Goals Against | 3.4 |
Hits | 21.2 |
Shots Blocked | 10.6 |
Pim | 7.5 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,851,666$ | 0$ | 72,851,666$ | 10,648,334$ |
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 | 40544 | 33366 | 13159 | 27075 | 6454 |
Attendance PCT | 96.53% | 95.33% | 93.99% | 96.70% | 92.20% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
34 | 17228 - 95.71% | 618,164$ | 4,327,146$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
72,851,666$ | 72,851,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
12,637,528$ | 72,851,666$ | 12,637,528$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
21,017,566$ | 162 | 371,692$ | 60,214,104$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
66,333,568$ | 72,851,666$ | -547,885,743$ | -593,201,745$ |
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 |
---|---|---|---|---|---|
1 ballo clb 2024 | Blue Jackets | ||||
Adam Brooks | Blue Jackets | Link | |||
Alex Beaucage | Blue Jackets | 2019 | 63 | ||
Andrei Buyalsky | Blue Jackets | 2021 | 102 | ||
Ben Merrill | Blue Jackets | 2024 | 181 | ||
Blake McLaughlin | Blue Jackets | ||||
Cade Littler | Blue Jackets | 2022 | 221 | ||
Carter Berger | Blue Jackets | 2019 | 105 | ||
Carter Gylander | Blue Jackets | 2019 | 196 | ||
Christian Krygier | Blue Jackets | ||||
Cole Huckins | Blue Jackets | 2021 | 83 | ||
Damian Clara | Blue Jackets | 2023 | 46 | ||
Daniel Renouf | Blue Jackets | Link | |||
Dillon Heatherington | Blue Jackets | Link | |||
Dmitri Kostenko | Blue Jackets | 2021 | 54 | ||
Dylan Duke | Blue Jackets | 2021 | 77 | ||
Dylan Sikura | Blue Jackets | Link | |||
Dysin Mayo | Blue Jackets | Link | |||
Elliott Ekmark | Blue Jackets | 2020 | 198 | ||
Emilio Pettersen | Blue Jackets | ||||
Filip Engaras | Blue Jackets | 2020 | 169 | ||
Gabe Smith | Blue Jackets | 2024 | 117 | ||
Gabriel Carlsson | Blue Jackets | Link | |||
Hagen Burrows | Blue Jackets | 2024 | 149 | ||
Jack Badini | Blue Jackets | ||||
Jake Boltmann | Blue Jackets | 2020 | 86 | ||
Jake Furlong | Blue Jackets | 2022 | 153 | ||
Jakub Brabenec | Blue Jackets | 2021 | 109 | ||
Jakub Kos | Blue Jackets | 2021 | 193 | ||
Janne Peltonen | Blue Jackets | 2023 | 206 | ||
Jarrett Tyszka | Blue Jackets | ||||
Jayden Perron | Blue Jackets | 2023 | 77 | ||
Joey Keane | Blue Jackets | Link | |||
Jon Gillies | Blue Jackets | Link | |||
Jordan Gross | Blue Jackets | Link | |||
Kasper Kulonummi | Blue Jackets | 2022 | 105 | ||
Mathew Hill | Blue Jackets | 2019 | 195 | ||
Matt Irwin | Blue Jackets | Link | |||
Matteo Costantini | Blue Jackets | 2020 | 131 | ||
Matthew Mayich | Blue Jackets | 2023 | 174 | ||
Matthew Perkins | Blue Jackets | 2023 | 135 | ||
Matthew Robertson | Blue Jackets | 2019 | 38 | ||
Maxwell Gildon | Blue Jackets | ||||
Melker Thelin | Blue Jackets | 2023 | 142 | ||
Michal Teply | Blue Jackets | 2019 | 116 | ||
Nathan Mayes | Blue Jackets | 2024 | 213 | ||
Nikita Grebenkin | Blue Jackets | 2022 | 147 | ||
Noel Fransen | Blue Jackets | 2024 | 87 | ||
Oskar Pettersson | Blue Jackets | 2022 | 86 | ||
Oskar Vuollet | Blue Jackets | 2024 | 151 | ||
Otto Salin | Blue Jackets | 2022 | 157 | ||
Petrus Palmu | Blue Jackets | ||||
Roman Durny | Blue Jackets | 2018 | 154 | ||
Ryan Healey | Blue Jackets | 2022 | 134 | ||
Stelio Mattheos | Blue Jackets | ||||
Tanner Howe | Blue Jackets | 2024 | 52 | ||
Tarin Smith | Blue Jackets | 2024 | 85 | ||
Tyler Benson | Blue Jackets | Link | |||
Vladislav Lukashevich | Blue Jackets | 2021 | 129 | ||
Xavier Simoneau | Blue Jackets | 2020 | 217 | ||
Zakhar Bardakov | Blue Jackets | 2021 | 182 |
|