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Full Scoreboard »» |
Columbus Blue Jackets Team Overall:76 30-22-7, 67pts · 4th in Conférence Scotty Bowman |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | C | 6' 2" | 207 | 29 | 57 | 36 | 81 | 84 | 82 | 90 | 93 | 82 | 81 | 83 | 74 | 69 | 78 | 75 | 74 | 0 | 40 | 79 | 100.00 | 7,800,000$/2yrs | |
0 | ![]() | LW/RW | 6' 2" | 195 | 21 | 86 | 39 | 72 | 82 | 78 | 89 | 95 | 79 | 56 | 80 | 78 | 64 | 82 | 63 | 65 | 0 | 40 | 78 | 100.00 | 3,575,000$/1yrs | |
0 | ![]() | RW | 6' 4" | 220 | 27 | 90 | 86 | 62 | 72 | 90 | 82 | 95 | 71 | 56 | 74 | 75 | 81 | 59 | 74 | 73 | 0 | 40 | 78 | 98.00 | 5,166,666$/1yrs | |
0 | ![]() | LW/RW | 6' 3" | 226 | 30 | 90 | 79 | 64 | 72 | 89 | 82 | 87 | 70 | 63 | 71 | 74 | 76 | 67 | 78 | 75 | 0 | 40 | 77 | 100.00 | 2,875,000$/2yrs | |
0 | ![]() | C | 6' 0" | 191 | 24 | 67 | 38 | 80 | 76 | 74 | 89 | 90 | 71 | 83 | 72 | 69 | 87 | 68 | 66 | 70 | 0 | 40 | 76 | 100.00 | 935,833$/1yrs | |
0 | ![]() | C/LW | 6' 2" | 180 | 26 | 58 | 39 | 79 | 75 | 74 | 88 | 89 | 76 | 71 | 77 | 78 | 66 | 75 | 67 | 71 | 0 | 40 | 76 | 100.00 | 925,000$/3yrs | |
0 | ![]() | LW/RW | 5' 10" | 175 | 23 | 56 | 33 | 94 | 79 | 65 | 87 | 90 | 78 | 59 | 82 | 74 | 64 | 80 | 66 | 67 | 0 | 40 | 76 | 100.00 | 825,000$/1yrs | |
0 | ![]() | C | 6' 5" | 216 | 29 | 66 | 39 | 84 | 71 | 93 | 88 | 86 | 73 | 82 | 76 | 71 | 69 | 72 | 75 | 73 | 0 | 40 | 76 | 100.00 | 7,142,857$/1yrs | |
0 | ![]() | C/LW | 6' 0" | 184 | 32 | 56 | 34 | 89 | 80 | 71 | 87 | 89 | 76 | 73 | 74 | 77 | 62 | 78 | 79 | 76 | 0 | 40 | 76 | 100.00 | 5,187,500$/1yrs | |
0 | ![]() | C/LW | 5' 10" | 181 | 27 | 62 | 33 | 93 | 73 | 68 | 85 | 89 | 75 | 74 | 76 | 67 | 81 | 75 | 71 | 69 | 0 | 40 | 75 | 100.00 | 3,500,000$/3yrs | |
0 | ![]() | LW/RW | 5' 10" | 165 | 25 | 59 | 33 | 84 | 76 | 63 | 87 | 90 | 78 | 55 | 79 | 73 | 65 | 76 | 67 | 68 | 0 | 40 | 75 | 100.00 | 775,000$/1yrs | |
0 | ![]() | C | 6' 2" | 203 | 18 | 66 | 39 | 78 | 69 | 81 | 85 | 95 | 68 | 82 | 67 | 70 | 64 | 73 | 61 | 65 | 0 | 40 | 72 | 100.00 | 1,633,333$/3yrs | |
0 | ![]() | D | 6' 2" | 197 | 26 | 56 | 36 | 91 | 82 | 80 | 93 | 90 | 77 | 30 | 85 | 73 | 64 | 59 | 69 | 74 | 0 | 40 | 78 | 100.00 | 5,200,000$/1yrs | |
0 | ![]() | D | 6' 3" | 209 | 34 | 78 | 37 | 86 | 72 | 85 | 89 | 84 | 70 | 30 | 80 | 71 | 77 | 58 | 84 | 76 | 0 | 40 | 77 | 100.00 | 6,000,000$/2yrs | |
0 | ![]() | D | 6' 2" | 205 | 27 | 66 | 42 | 77 | 72 | 81 | 92 | 86 | 71 | 30 | 78 | 66 | 79 | 56 | 73 | 68 | 0 | 40 | 75 | 100.00 | 4,166,666$/1yrs | |
0 | ![]() | D | 6' 4" | 213 | 28 | 63 | 38 | 78 | 69 | 89 | 93 | 83 | 68 | 30 | 76 | 63 | 81 | 53 | 73 | 69 | 0 | 40 | 74 | 100.00 | 5,205,556$/1yrs | |
0 | ![]() | D | 6' 3" | 213 | 26 | 72 | 37 | 81 | 65 | 86 | 92 | 90 | 64 | 30 | 76 | 59 | 84 | 51 | 68 | 70 | 0 | 40 | 73 | 100.00 | 1,350,000$/1yrs | |
0 | ![]() | D | 6' 2" | 202 | 26 | 80 | 36 | 78 | 67 | 81 | 92 | 90 | 66 | 30 | 73 | 62 | 76 | 53 | 67 | 68 | 0 | 40 | 73 | 100.00 | 1,775,000$/2yrs | |
Scratches | ||||||||||||||||||||||||||
0 | ![]() | LW | 6' 2" | 217 | 33 | 62 | 39 | 83 | 79 | 84 | 88 | 83 | 76 | 61 | 78 | 86 | 62 | 81 | 83 | 79 | 0 | 40 | 79 | 96.72 | 7,000,000$/1yrs | |
0 | ![]() | C | 6' 5" | 220 | 19 | 76 | 37 | 82 | 68 | 93 | 84 | 81 | 66 | 79 | 64 | 67 | 65 | 72 | 61 | 64 | 0 | 40 | 72 | 100.00 | 3,575,000$/2yrs | |
0 | ![]() | D | 6' 1" | 204 | 28 | 84 | 42 | 79 | 64 | 78 | 91 | 82 | 63 | 30 | 74 | 60 | 85 | 51 | 72 | 69 | 0 | 40 | 73 | 100.00 | 2,850,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | 6' 3" | 190 | 26 | 97 | 90 | 94 | 97 | 97 | 96 | 67 | 77 | 0 | 40 | 79 | 97.00 | 2,000,000$/2yrs | |||||||
0 | ![]() | 6' 2" | 172 | 28 | 90 | 89 | 94 | 90 | 90 | 89 | 72 | 83 | 0 | 40 | 76 | 100.00 | 4,400,000$/1yrs | |||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
David Quinn | 79 | 84 | 86 | 74 | 81 | 76 | 67 | USA | 54 | 1 | 500,000$ |
General Manager | Simon Bilodeau |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Andrei Svechnikov | 0 | LW/RW | 59 | 24 | 24 | 48 | 15 | 50 | 0 | 147 | 193 | 48 | 118 | 12.44% | 1 | 18.70 | 4 | 5 | 9 | 178 | 0 | 0 | 0 | 26 | 2 | 2 | 43.96% | 91 | 0 | 0 | 0 | 0 | 0.87 | 0 | 1 | ||
2 | Evgeny Kuznetsov | 0 | C | 59 | 15 | 33 | 48 | 14 | 0 | 0 | 3 | 225 | 50 | 137 | 6.67% | 6 | 18.29 | 2 | 5 | 7 | 181 | 0 | 0 | 0 | 0 | 4 | 1 | 49.83% | 1158 | 0 | 0 | 0 | 0 | 0.89 | 1 | 1 | ||
3 | Jeff Petry | 0 | D | 59 | 12 | 31 | 43 | 19 | 70 | 0 | 98 | 79 | 29 | 48 | 15.19% | 63 | 20.59 | 4 | 6 | 10 | 167 | 0 | 0 | 0 | 70 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
4 | Jesper Bratt | 0 | LW/RW | 59 | 12 | 23 | 35 | 1 | 0 | 0 | 1 | 151 | 39 | 102 | 7.95% | 2 | 17.02 | 2 | 5 | 7 | 175 | 0 | 0 | 0 | 0 | 4 | 1 | 36.62% | 71 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
5 | Anthony Cirelli | 0 | C | 59 | 16 | 15 | 31 | 8 | 12 | 0 | 52 | 120 | 26 | 87 | 13.33% | 17 | 17.04 | 5 | 3 | 8 | 144 | 0 | 0 | 0 | 205 | 2 | 1 | 50.00% | 1342 | 0 | 0 | 2 | 1 | 0.62 | 0 | 0 | ||
6 | Shea Theodore | 0 | D | 59 | 5 | 25 | 30 | -7 | 22 | 0 | 51 | 84 | 33 | 44 | 5.95% | 62 | 23.82 | 1 | 5 | 6 | 185 | 0 | 0 | 0 | 168 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
7 | Tom Wilson | 0 | RW | 59 | 15 | 14 | 29 | 2 | 62 | 10 | 199 | 112 | 31 | 86 | 13.39% | 17 | 19.73 | 0 | 3 | 3 | 173 | 1 | 0 | 1 | 162 | 3 | 1 | 41.77% | 79 | 0 | 0 | 2 | 1 | 0.50 | 0 | 1 | ||
8 | Hampus Lindholm | 0 | D | 59 | 5 | 23 | 28 | -2 | 64 | 0 | 158 | 83 | 26 | 51 | 6.02% | 79 | 23.35 | 3 | 7 | 10 | 171 | 0 | 1 | 1 | 173 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
9 | Marcus Foligno | 0 | LW/RW | 59 | 14 | 12 | 26 | 22 | 61 | 5 | 154 | 112 | 28 | 76 | 12.50% | 12 | 16.81 | 0 | 0 | 0 | 27 | 1 | 0 | 1 | 157 | 3 | 0 | 51.85% | 81 | 0 | 0 | 0 | 1 | 0.52 | 0 | 0 | ||
10 | Max Pacioretty | 0 | LW | 45 | 12 | 9 | 21 | 8 | 12 | 0 | 33 | 115 | 24 | 74 | 10.43% | 5 | 16.37 | 1 | 2 | 3 | 134 | 0 | 0 | 0 | 0 | 0 | 1 | 47.06% | 51 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
11 | Damon Severson | 0 | D | 55 | 1 | 19 | 20 | 15 | 22 | 0 | 82 | 26 | 17 | 25 | 3.85% | 64 | 17.59 | 0 | 0 | 0 | 8 | 0 | 1 | 1 | 113 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
12 | Kevin Hayes | 0 | C | 59 | 9 | 11 | 20 | 9 | 14 | 0 | 33 | 76 | 18 | 54 | 11.84% | 13 | 11.92 | 0 | 1 | 1 | 13 | 0 | 0 | 0 | 0 | 3 | 1 | 55.36% | 811 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
13 | Carter Verhaeghe | 0 | C/LW | 57 | 7 | 12 | 19 | -4 | 26 | 10 | 24 | 83 | 32 | 81 | 8.43% | 4 | 12.80 | 3 | 7 | 10 | 164 | 0 | 0 | 0 | 8 | 0 | 1 | 41.71% | 374 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
14 | Jake McCabe | 0 | D | 42 | 2 | 14 | 16 | 20 | 30 | 0 | 77 | 23 | 13 | 10 | 8.70% | 43 | 16.76 | 0 | 0 | 0 | 21 | 0 | 0 | 0 | 91 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
15 | Conor Garland | 0 | LW/RW | 59 | 6 | 7 | 13 | 4 | 6 | 0 | 14 | 72 | 23 | 55 | 8.33% | 5 | 9.74 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 29.17% | 24 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
16 | Vladislav Gavrikov | 0 | D | 56 | 5 | 8 | 13 | 8 | 35 | 5 | 80 | 21 | 5 | 16 | 23.81% | 67 | 16.79 | 1 | 0 | 1 | 7 | 0 | 0 | 0 | 164 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
17 | Alexander Kerfoot | 0 | C/LW | 59 | 3 | 9 | 12 | 1 | 0 | 0 | 19 | 60 | 20 | 40 | 5.00% | 11 | 9.54 | 1 | 1 | 2 | 25 | 0 | 1 | 1 | 216 | 0 | 0 | 44.56% | 377 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
18 | Mike Hoffman | 0 | C/LW | 39 | 4 | 5 | 9 | -1 | 6 | 0 | 7 | 41 | 13 | 24 | 9.76% | 2 | 9.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 43.31% | 254 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
19 | Artem Zub | 0 | D | 24 | 0 | 7 | 7 | 5 | 20 | 0 | 49 | 8 | 4 | 8 | 0.00% | 26 | 14.19 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
20 | Quinton Byfield | 0 | C | 10 | 1 | 2 | 3 | -1 | 4 | 0 | 11 | 8 | 1 | 3 | 12.50% | 2 | 11.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49.33% | 75 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
21 | Cole Sillinger | 0 | C | 26 | 0 | 3 | 3 | 2 | 4 | 0 | 9 | 15 | 7 | 13 | 0.00% | 1 | 10.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49.00% | 251 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
Team Total or Average | 1062 | 168 | 306 | 474 | 138 | 520 | 30 | 1301 | 1707 | 487 | 1152 | 9.84% | 502 | 16.33 | 27 | 50 | 77 | 1786 | 2 | 3 | 5 | 1568 | 29 | 11 | 48.88% | 5039 | 0 | 0 | 4 | 3 | 0.55 | 1 | 3 |
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 | Ilya Sorokin | 45 | 23 | 16 | 6 | 0.919 | 2.35 | 2712 | 4 | 4 | 106 | 1303 | 0 | 1 | 5 | 1.000 | 3 | 45 | 14 | 5 | 5 | 0 | |
2 | Jordan Binnington | 14 | 7 | 6 | 1 | 0.905 | 2.92 | 843 | 2 | 1 | 41 | 432 | 0 | 1 | 0 | 0.000 | 0 | 14 | 45 | 2 | 1 | 0 | |
Team Total or Average | 59 | 30 | 22 | 7 | 0.915 | 2.48 | 3555 | 6 | 5 | 147 | 1735 | 0 | 2 | 5 | 1.000 | 3 | 59 | 59 | 7 | 6 | 0 |
Projected Total Cap Hit | 84,188,411$ |
Projected Cap Space | 7,311,589$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 | 2028-2029 |
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Alexander Kerfoot ![]() | C/LW | 27 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Andrei Svechnikov ![]() | LW/RW | 21 | 3,575,000$ | 3,575,000$ | |||||||
Anthony Cirelli ![]() | C | 24 | 935,833$ | 935,833$ | |||||||
Artem Zub ![]() | D | 26 | 1,775,000$ | 1,775,000$ | 1,775,000$ | ||||||
Carter Verhaeghe ![]() | C/LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Cole Sillinger ![]() | C | 18 | 1,633,333$ | 1,633,333$ | 1,633,333$ | 1,633,333$ | |||||
Conor Garland ![]() | LW/RW | 25 | 775,000$ | 775,000$ | |||||||
Damon Severson ![]() | D | 27 | 4,166,666$ | 4,166,666$ | |||||||
Evgeny Kuznetsov ![]() | C | 29 | 7,800,000$ | 7,800,000$ | 7,800,000$ | ||||||
Hampus Lindholm ![]() | D | 28 | 5,205,556$ | 5,205,556$ | |||||||
Ilya Sorokin ![]() | C/LW | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Jake McCabe ![]() | D | 28 | 2,850,000$ | 2,850,000$ | |||||||
Jeff Petry ![]() | D | 34 | 6,250,000$ | 6,250,000$ | 6,250,000$ | ||||||
Jesper Bratt ![]() | LW/RW | 23 | 825,000$ | 825,000$ | |||||||
Jordan Binnington ![]() | LW/RW | 28 | 4,400,000$ | 4,400,000$ | |||||||
Kevin Hayes ![]() | C | 29 | 7,142,857$ | 7,142,857$ | |||||||
Marcus Foligno ![]() | LW/RW | 30 | 2,875,000$ | 2,875,000$ | 2,875,000$ | ||||||
Max Pacioretty ![]() | LW | 33 | 7,000,000$ | 7,000,000$ | |||||||
Mike Hoffman ![]() | C/LW | 32 | 5,187,500$ | 5,187,500$ | |||||||
Quinton Byfield ![]() | C | 19 | 3,575,000$ | 3,575,000$ | 3,575,000$ | ||||||
Shea Theodore ![]() | D | 26 | 5,200,000$ | 5,200,000$ | |||||||
Tom Wilson ![]() | RW | 27 | 5,166,666$ | 5,166,666$ | |||||||
Vladislav Gavrikov ![]() | D | 26 | 1,350,000$ | 1,350,000$ |
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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 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 7 | 3 | 3 | 0.750 | 10 | 19 | 29 | 0 | 1 | 4 | 5 | 1 | 0 | 54 | 18 | 23 | 13 | 0 | 72 | 18 | 16 | 42 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 46 | 32 | 49 | 15 | 24 | 12 | 60.0% | 18.5% | 90.3% | 108.8 | FUN | |
2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 0.667 | 5 | 9 | 14 | 0 | 2 | 1 | 2 | 2 | 0 | 77 | 28 | 26 | 23 | 0 | 96 | 29 | 30 | 58 | 11 | 2 | 18.18% | 15 | 0 | 100.00% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 69 | 48 | 75 | 21 | 35 | 17 | 60.0% | 6.5% | 97.9% | 104.4 | DULL | |
3 | 5 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 8 | 17 | -9 | 1 | 0.100 | 8 | 16 | 24 | 2 | 0 | 1 | 7 | 0 | 0 | 113 | 41 | 32 | 38 | 2 | 132 | 42 | 71 | 117 | 14 | 3 | 21.43% | 29 | 5 | 82.76% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 110 | 75 | 129 | 35 | 64 | 30 | 29.4% | 7.1% | 87.1% | 94.2 | Unlucky | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 52 | 19 | 14 | 19 | 0 | 56 | 24 | 26 | 39 | 9 | 1 | 11.11% | 12 | 3 | 75.00% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 47 | 31 | 47 | 15 | 25 | 12 | 40.0% | 5.8% | 89.3% | 95.1 | Unlucky | |
5 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 10 | 11 | -1 | 4 | 0.500 | 10 | 18 | 28 | 0 | 0 | 3 | 4 | 2 | 1 | 109 | 38 | 32 | 35 | 4 | 90 | 29 | 28 | 96 | 13 | 1 | 7.69% | 14 | 1 | 92.86% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 100 | 70 | 91 | 29 | 50 | 26 | 47.4% | 9.2% | 87.8% | 97.0 | FUN | |
6 | 5 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 10 | 21 | -11 | 1 | 0.100 | 10 | 18 | 28 | 1 | 0 | 2 | 5 | 3 | 0 | 155 | 45 | 56 | 54 | 0 | 164 | 37 | 46 | 112 | 16 | 0 | 0.00% | 23 | 9 | 60.87% | 1 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 115 | 79 | 122 | 36 | 62 | 29 | 45.5% | 6.5% | 87.2% | 93.6 | Unlucky | |
7 | 5 | 2 | 1 | 0 | 0 | 2 | 0 | 0 | 16 | 15 | 1 | 6 | 0.600 | 16 | 28 | 44 | 0 | 0 | 6 | 5 | 5 | 0 | 135 | 40 | 43 | 51 | 1 | 148 | 39 | 33 | 105 | 18 | 1 | 5.56% | 14 | 4 | 71.43% | 1 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 120 | 82 | 121 | 37 | 64 | 32 | 57.7% | 11.9% | 89.9% | 101.7 | FUN | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 3 | 0 | 3 | 0 | 33 | 11 | 8 | 14 | 0 | 30 | 6 | 4 | 26 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 23 | 15 | 23 | 6 | 12 | 7 | 50.0% | 18.2% | 86.7% | 104.8 | FUN | |
9 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 0 | 1 | 69 | 20 | 20 | 27 | 2 | 62 | 19 | 13 | 49 | 9 | 2 | 22.22% | 4 | 1 | 75.00% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 51 | 38 | 46 | 14 | 25 | 12 | 28.6% | 5.8% | 90.3% | 96.1 | Unlucky | |
10 | 5 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 16 | 9 | 7 | 7 | 0.700 | 16 | 30 | 46 | 0 | 0 | 5 | 7 | 4 | 0 | 166 | 47 | 55 | 64 | 0 | 144 | 41 | 40 | 104 | 16 | 2 | 12.50% | 20 | 3 | 85.00% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 126 | 89 | 110 | 37 | 64 | 32 | 70.0% | 9.6% | 93.8% | 103.4 | LUCKY | |
11 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 0.667 | 12 | 23 | 35 | 0 | 0 | 4 | 4 | 4 | 0 | 91 | 41 | 24 | 26 | 0 | 100 | 32 | 24 | 56 | 8 | 3 | 37.50% | 12 | 1 | 91.67% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 70 | 50 | 72 | 21 | 37 | 17 | 52.9% | 13.2% | 91.0% | 104.2 | FUN | |
12 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 0.750 | 12 | 21 | 33 | 0 | 0 | 6 | 1 | 4 | 1 | 121 | 33 | 48 | 38 | 2 | 131 | 30 | 32 | 90 | 15 | 0 | 0.00% | 15 | 2 | 86.67% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 94 | 65 | 97 | 30 | 49 | 25 | 66.7% | 9.9% | 93.9% | 103.8 | LUCKY | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 0 | 3 | 0 | 23 | 10 | 5 | 8 | 0 | 32 | 10 | 4 | 24 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 20 | 15 | 26 | 7 | 12 | 5 | 60.0% | 17.4% | 93.8% | 111.1 | LUCKY | |
14 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 8 | 9 | 8 | 1.000 | 17 | 31 | 48 | 0 | 0 | 8 | 5 | 4 | 0 | 126 | 43 | 33 | 50 | 0 | 118 | 45 | 32 | 97 | 15 | 3 | 20.00% | 15 | 3 | 80.00% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 92 | 65 | 97 | 29 | 49 | 24 | 73.7% | 13.5% | 93.2% | 106.7 | LUCKY | |
15 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 8 | 3 | 6 | 1.000 | 11 | 17 | 28 | 0 | 0 | 1 | 6 | 3 | 1 | 94 | 22 | 38 | 30 | 7 | 78 | 35 | 41 | 67 | 11 | 3 | 27.27% | 11 | 2 | 81.82% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 80 | 54 | 65 | 20 | 39 | 20 | 57.1% | 11.7% | 89.7% | 101.4 | FUN | |
16 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 10 | 7 | 6 | 0.750 | 17 | 30 | 47 | 0 | 0 | 4 | 4 | 9 | 0 | 121 | 25 | 44 | 52 | 0 | 124 | 29 | 36 | 94 | 12 | 2 | 16.67% | 11 | 1 | 90.91% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 93 | 65 | 96 | 30 | 50 | 24 | 62.5% | 14.0% | 91.9% | 106.0 | LUCKY | |
17 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 36 | 11 | 6 | 19 | 0 | 33 | 11 | 10 | 13 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 24 | 17 | 23 | 6 | 12 | 6 | 33.3% | 2.8% | 93.9% | 96.7 | DULL | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 4 | 1.000 | 5 | 9 | 14 | 0 | 2 | 4 | 1 | 0 | 0 | 52 | 19 | 21 | 12 | 0 | 48 | 11 | 18 | 31 | 9 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 46 | 32 | 47 | 15 | 25 | 13 | 100.0% | 9.6% | 100.0% | 109.6 | LUCKY | |
19 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 2 | 0 | 2 | 0 | 0 | 0 | 80 | 24 | 24 | 32 | 0 | 82 | 15 | 22 | 81 | 8 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 73 | 49 | 67 | 21 | 38 | 19 | 28.6% | 2.5% | 91.5% | 94.0 | DULL | |
_Vs Division | 16 | 7 | 5 | 0 | 0 | 4 | 0 | 0 | 51 | 47 | 4 | 18 | 0.563 | 51 | 94 | 145 | 2 | 1 | 19 | 22 | 10 | 0 | 428 | 142 | 131 | 152 | 3 | 470 | 144 | 152 | 361 | 52 | 8 | 15.38% | 66 | 13 | 80.30% | 1 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 369 | 255 | 398 | 118 | 204 | 100 | 55.8% | 11.9% | 90.0% | 101.9 | FUN | |
_Vs Conference | 35 | 13 | 16 | 0 | 1 | 5 | 0 | 0 | 102 | 105 | -3 | 33 | 0.471 | 102 | 186 | 288 | 5 | 1 | 34 | 39 | 28 | 1 | 984 | 315 | 311 | 351 | 7 | 1030 | 286 | 308 | 800 | 109 | 14 | 12.84% | 136 | 27 | 80.15% | 2 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 823 | 570 | 848 | 258 | 443 | 217 | 53.0% | 10.4% | 89.8% | 100.2 | FUN | |
_Since Last GM Reset | 59 | 26 | 22 | 0 | 3 | 7 | 1 | 0 | 169 | 152 | 17 | 67 | 0.568 | 169 | 306 | 475 | 5 | 5 | 60 | 58 | 47 | 4 | 1707 | 535 | 552 | 605 | 18 | 1740 | 502 | 526 | 1301 | 199 | 27 | 13.57% | 231 | 38 | 83.55% | 2 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 1408 | 979 | 1411 | 435 | 746 | 371 | 55.5% | 9.9% | 91.3% | 101.2 | LUCKY | |
Total | 59 | 26 | 22 | 0 | 3 | 7 | 1 | 0 | 169 | 152 | 17 | 67 | 0.568 | 169 | 306 | 475 | 5 | 5 | 60 | 58 | 47 | 4 | 1707 | 535 | 552 | 605 | 18 | 1740 | 502 | 526 | 1301 | 199 | 27 | 13.57% | 231 | 38 | 83.55% | 2 | 1034 | 2040 | 50.69% | 982 | 2068 | 47.49% | 447 | 891 | 50.17% | 1408 | 979 | 1411 | 435 | 746 | 371 | 55.5% | 9.9% | 91.3% | 101.2 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2040 |
Neutral Zone Start | 891 |
Defensive Zone Start | 2068 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2463 |
Faceoffs Lost | 2536 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.1 | 9.57 |
2nd Period | 18.4 | 20.31 |
3rd Period | 28.7 | 30.68 |
Overtime | 29.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 135 |
---|---|
PP Goal | 27 |
PK Goal | 2 |
Empty Net Goal | 5 |
Home | Away | |
---|---|---|
Win | 17 | 13 |
Lost | 10 | 12 |
Overtime Lost | 2 | 5 |
PP Attempt | 199 |
---|---|
PP Goal | 27 |
PK Attempt | 231 |
PK Goal Against | 38 |
Home | |
---|---|
Shots For | 28.9 |
Shots Against | 29.5 |
Goals For | 2.9 |
Goals Against | 2.6 |
Hits | 22.1 |
Shots Blocked | 8.5 |
Pim | 8.9 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2022-10-11 | @ | Blue Jackets2,Red Wings4 | RECAP | ||
2022-10-12 | @ | Blue Jackets4,Bruins3 | RECAP | ||
2022-10-14 | @ | Kings3,Blue Jackets2 (OT) | RECAP | ||
2022-10-17 | @ | Rangers4,Blue Jackets2 | RECAP | ||
2022-10-18 | @ | Krakens1,Blue Jackets5 | RECAP | ||
2022-10-20 | @ | Blue Jackets5,Krakens3 | RECAP | ||
2022-10-22 | @ | Blue Jackets0,Red Wings4 | RECAP | ||
2022-10-24 | @ | Flames0,Blue Jackets4 | RECAP | ||
2022-10-28 | @ | Blackhawks3,Blue Jackets4 | RECAP | ||
2022-10-30 | @ | Blue Jackets5,Avalanche2 | RECAP | ||
2022-10-31 | @ | Blue Jackets2,Kings4 | RECAP | ||
2022-11-02 | @ | Blue Jackets6,Oilers1 | RECAP | ||
2022-11-04 | @ | Canadiens2,Blue Jackets5 | RECAP | ||
2022-11-05 | @ | Blue Jackets6,Flames7 (OT) | RECAP | ||
2022-11-07 | @ | Golden Knights3,Blue Jackets1 | RECAP | ||
2022-11-09 | @ | Blue Jackets5,Oilers2 | RECAP | ||
2022-11-11 | @ | Jets5,Blue Jackets6 | RECAP | ||
2022-11-13 | @ | Capitals2,Blue Jackets0 | RECAP | ||
2022-11-15 | @ | Oilers3,Blue Jackets1 | RECAP | ||
2022-11-17 | @ | Blue Jackets4,Predators3 (OT) | RECAP | ||
2022-11-19 | @ | Canadiens3,Blue Jackets5 | RECAP | ||
2022-11-21 | @ | Blue Jackets3,Jets2 (SO) | RECAP | ||
2022-11-24 | @ | Maple Leafs4,Blue Jackets6 | RECAP | ||
2022-11-25 | @ | Blue Jackets3,Oilers1 | RECAP | ||
2022-11-27 | @ | Blue Jackets0,Predators3 | RECAP | ||
2022-11-29 | @ | Blue Jackets3,Hurricanes4 | RECAP | ||
2022-11-30 | @ | Kings4,Blue Jackets1 | RECAP | ||
2022-12-02 | @ | Blackhawks2,Blue Jackets3 (OT) | RECAP | ||
2022-12-04 | @ | Blue Jackets3,Red Wings4 (OT) | RECAP | ||
2022-12-06 | @ | Blackhawks1,Blue Jackets4 | RECAP | ||
2022-12-08 | @ | Blue Jackets1,Oilers2 (OT) | RECAP | ||
2022-12-10 | @ | Rangers1,Blue Jackets2 | RECAP | ||
2022-12-12 | @ | Blue Jackets1,Golden Knights3 | RECAP | ||
2022-12-13 | @ | Capitals0,Blue Jackets4 | RECAP | ||
2022-12-15 | @ | Blue Jackets1,Rangers2 | RECAP | ||
2022-12-17 | @ | Red Wings4,Blue Jackets2 | RECAP | ||
2022-12-19 | @ | Blue Jackets1,Capitals0 | RECAP | ||
2022-12-21 | @ | Blue Jackets1,Canucks2 (OT) | RECAP | ||
2022-12-22 | @ | Panthers0,Blue Jackets3 | RECAP | ||
2022-12-25 | @ | Blue Jackets0,Kings1 | RECAP | ||
2022-12-26 | @ | Golden Knights1,Blue Jackets0 | RECAP | ||
2022-12-28 | @ | Blue Jackets2,Panthers0 | RECAP | ||
2022-12-30 | @ | Avalanche5,Blue Jackets4 (OT) | RECAP | ||
2023-01-01 | @ | Bruins5,Blue Jackets4 | RECAP | ||
2023-01-02 | @ | Blue Jackets2,Avalanche4 | RECAP | ||
2023-01-04 | @ | Avalanche2,Blue Jackets4 | RECAP | ||
2023-01-06 | @ | Blue Jackets4,Islanders2 | RECAP | ||
2023-01-08 | @ | Hurricanes2,Blue Jackets0 | RECAP | ||
2023-01-11 | @ | Blue Jackets1,Canadiens2 | RECAP | ||
2023-01-12 | @ | Jets1,Blue Jackets2 | RECAP | ||
2023-01-15 | @ | Blue Jackets1,Avalanche2 (OT) | RECAP | ||
2023-01-17 | @ | Red Wings5,Blue Jackets3 | RECAP | ||
2023-01-19 | @ | Krakens3,Blue Jackets5 | RECAP | ||
2023-01-21 | @ | Blue Jackets3,Kings5 | RECAP | ||
2023-01-23 | @ | Blue Jackets1,Blackhawks2 | RECAP | ||
2023-01-24 | @ | Bruins1,Blue Jackets4 | RECAP | ||
2023-01-26 | @ | Blue Jackets6,Canadiens3 | RECAP | ||
2023-01-28 | @ | Blue Jackets2,Krakens1 | RECAP | ||
2023-01-29 | @ | Rangers4,Blue Jackets5 (OT) | RECAP | ||
2023-01-31 | @ | ||||
2023-02-02 | @ | ||||
2023-02-03 | @ | ||||
2023-02-05 | @ | ||||
2023-02-07 | @ | ||||
2023-02-10 | @ | ||||
2023-02-11 | @ | ||||
2023-02-13 | @ | ||||
2023-02-14 | @ | ||||
2023-02-16 | @ | ||||
2023-02-18 | @ | ||||
2023-02-20 | @ | ||||
2023-02-22 | @ | ||||
2023-02-24 | @ | ||||
2023-02-27 | @ | ||||
2023-02-28 | @ | ||||
2023-03-01 | @ | ||||
2023-03-04 | @ | ||||
2023-03-06 | @ | ||||
2023-03-08 | @ | ||||
2023-03-11 | @ | ||||
2023-03-15 | @ | ||||
2023-03-16 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,188,411$ | 0$ | 84,188,411$ | 7,311,589$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Canadian Tire Center | |
City | Columbus | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
12 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,188,411$ | 83,863,411$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 84,188,411$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 49 | 519,561$ | 25,458,489$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
34,822,830$ | 84,188,411$ | 10,000,000$ | -24,822,830$ |
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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GOALIE | ||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
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 |
---|---|---|---|---|---|
Devon Levi | |||||
Justin Sourdif | |||||
Luke Tuch | |||||
Owen Power | |||||
Sean Farrell | |||||
Tomas Mazura | |||||
Ville Koivunen | |||||
Wyatt Kaiser |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | |||||||
2024 | |||||||
2025 | |||||||
2026 |
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 |
---|---|---|---|---|---|
Devon Levi | |||||
Justin Sourdif | |||||
Luke Tuch | |||||
Owen Power | |||||
Sean Farrell | |||||
Tomas Mazura | |||||
Ville Koivunen | |||||
Wyatt Kaiser |
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