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Full Scoreboard »» |
Columbus Blue Jackets 49-14-3, 101pts · 1st in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 100.00 | 65 | 34 | 72 | 87 | 87 | 93 | 90 | 87 | 78 | 84 | 91 | 61 | 89 | 72 | 80 | 0 | 89 | 92 | 28 | 9,500,000$/3yrs | |||
![]() | 13 | C/RW | 100.00 | 66 | 36 | 87 | 85 | 77 | 89 | 90 | 84 | 76 | 75 | 96 | 79 | 90 | 74 | 73 | 0 | 89 | 92 | 29 | 7,000,000$/3yrs | |||
![]() | 9 | C | 100.00 | 58 | 37 | 85 | 86 | 82 | 90 | 85 | 81 | 83 | 80 | 85 | 87 | 83 | 73 | 71 | 0 | 89 | 90 | 28 | 10,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 32 | 94 | 85 | 67 | 88 | 90 | 78 | 59 | 84 | 76 | 66 | 77 | 69 | 69 | 0 | 63 | 87 | 26 | 7,875,000$/7yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 79 | 33 | 64 | 81 | 77 | 84 | 90 | 77 | 82 | 68 | 89 | 65 | 83 | 73 | 70 | 0 | 89 | 86 | 28 | 4,425,000$/2yrs | |||
![]() | 38 | C/LW | 100.00 | 78 | 33 | 83 | 70 | 81 | 89 | 84 | 71 | 91 | 65 | 79 | 88 | 75 | 78 | 96 | 0 | 89 | 85 | 31 | 3,750,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 66 | 40 | 72 | 78 | 97 | 84 | 87 | 72 | 60 | 72 | 80 | 60 | 76 | 66 | 63 | 0 | 46 | 83 | 24 | 925,000$/1yrs | |||
![]() | 91 | C/LW | 100.00 | 52 | 32 | 91 | 75 | 69 | 84 | 83 | 68 | 55 | 71 | 77 | 62 | 73 | 62 | 61 | 0 | 89 | 80 | 22 | 1,800,000$/3yrs | |||
![]() | 24 | RW | 100.00 | 92 | 73 | 50 | 63 | 84 | 77 | 90 | 63 | 60 | 57 | 72 | 81 | 67 | 72 | 67 | 0 | 88 | 77 | 28 | 875,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 85 | 33 | 78 | 63 | 84 | 78 | 90 | 67 | 61 | 63 | 76 | 56 | 72 | 67 | 64 | 0 | 89 | 77 | 25 | 775,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 32 | 87 | 58 | 74 | 75 | 90 | 59 | 58 | 59 | 61 | 82 | 60 | 67 | 66 | 0 | 91 | 74 | 25 | 800,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 33 | 93 | 60 | 84 | 80 | 85 | 58 | 88 | 60 | 59 | 77 | 59 | 74 | 73 | 0 | 89 | 74 | 29 | 1,050,000$/1yrs | |||
![]() | 4 | D | 99.00 | 62 | 35 | 84 | 70 | 79 | 96 | 89 | 70 | 30 | 74 | 64 | 81 | 67 | 72 | 77 | 0 | 87 | 84 | 28 | 4,450,000$/7yrs | |||
![]() | 0 | D | 100.00 | 65 | 33 | 83 | 69 | 84 | 91 | 90 | 69 | 30 | 74 | 67 | 78 | 68 | 77 | 75 | 0 | 89 | 83 | 31 | 5,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 65 | 33 | 85 | 67 | 78 | 94 | 81 | 66 | 30 | 73 | 68 | 72 | 67 | 71 | 80 | 0 | 89 | 82 | 28 | 8,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 61 | 34 | 90 | 62 | 88 | 95 | 90 | 65 | 30 | 65 | 58 | 86 | 62 | 74 | 73 | 0 | 91 | 79 | 29 | 4,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 86 | 45 | 69 | 58 | 90 | 88 | 87 | 64 | 30 | 61 | 55 | 84 | 59 | 71 | 67 | 0 | 89 | 77 | 27 | 4,750,000$/4yrs | |||
![]() | 6 | D | 100.00 | 78 | 38 | 87 | 55 | 90 | 82 | 85 | 58 | 30 | 56 | 56 | 76 | 57 | 86 | 85 | 0 | 86 | 74 | 37 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.94 | 70 | 37 | 81 | 71 | 82 | 87 | 88 | 70 | 57 | 69 | 73 | 75 | 71 | 72 | 73 | 0 | 85 | 82 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 88 | 100.00 | 83 | 95 | 83 | 90 | 92 | 86 | 92 | 95 | 91 | 97 | 92 | 77 | 81 | 0 | 92 | 93 | 30 | 9,500,000$/4yrs |
![]() | 0 | 100.00 | 76 | 83 | 76 | 87 | 76 | 72 | 78 | 82 | 79 | 81 | 78 | 89 | 93 | 0 | 86 | 84 | 39 | 1,500,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 80 | 89 | 80 | 89 | 84 | 79 | 85 | 89 | 85 | 89 | 85 | 83 | 87 | 0 | 89 | 89 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Derek Lalonde | 83 | 81 | 87 | 91 | 67 | 63 | 73 | USA | 49 | 5 | 1,000,000$ |
General Manager | Étienne Bourget |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sam Reinhart | 13 | C/RW | 66 | 48 | 47 | 95 | 47 | 8 | 0 | 39 | 380 | 138 | 287 | 12.63% | 21 | 19.63 | 5 | 16 | 21 | 194 | 0 | 1 | 1 | 110 | 8 | 3 | 51.49% | 235 | 0 | 0 | 0 | 4 | 1.47 | 0 | 2 | |
2 | Jack Eichel | 9 | C | 66 | 36 | 54 | 90 | 21 | 15 | 5 | 59 | 358 | 94 | 253 | 10.06% | 24 | 21.47 | 4 | 22 | 26 | 216 | 0 | 1 | 1 | 143 | 7 | 1 | 51.98% | 2016 | 0 | 0 | 0 | 1 | 1.27 | 1 | 2 | |
3 | Mikko Rantanen | 0 | C/LW/RW | 66 | 38 | 50 | 88 | 19 | 34 | 0 | 132 | 330 | 83 | 220 | 11.52% | 5 | 19.37 | 10 | 13 | 23 | 217 | 0 | 0 | 0 | 5 | 3 | 5 | 42.28% | 123 | 0 | 0 | 0 | 0 | 1.38 | 0 | 2 | |
4 | Boone Jenner | 38 | C/LW | 66 | 27 | 48 | 75 | 35 | 40 | 0 | 118 | 265 | 84 | 213 | 10.19% | 17 | 18.70 | 4 | 17 | 21 | 192 | 3 | 1 | 4 | 237 | 5 | 2 | 55.65% | 1788 | 0 | 0 | 0 | 1 | 1.22 | 1 | 1 | |
5 | Rasmus Andersson | 4 | D | 66 | 12 | 45 | 57 | 30 | 64 | 10 | 91 | 112 | 36 | 62 | 10.71% | 88 | 24.53 | 10 | 9 | 19 | 217 | 0 | 1 | 1 | 199 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
6 | Sam Bennett | 0 | C/LW/RW | 66 | 22 | 33 | 55 | 31 | 60 | 0 | 195 | 199 | 70 | 166 | 11.06% | 11 | 16.30 | 9 | 6 | 15 | 192 | 0 | 0 | 0 | 3 | 3 | 1 | 49.39% | 1156 | 0 | 0 | 0 | 1 | 1.02 | 0 | 0 | |
7 | Brady Skjei | 0 | D | 66 | 11 | 34 | 45 | 32 | 18 | 0 | 48 | 93 | 24 | 60 | 11.83% | 92 | 22.85 | 5 | 9 | 14 | 184 | 1 | 1 | 2 | 213 | 5 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
8 | Jesper Bratt | 0 | LW/RW | 66 | 14 | 27 | 41 | 14 | 8 | 0 | 22 | 174 | 52 | 130 | 8.05% | 8 | 16.47 | 5 | 8 | 13 | 142 | 0 | 0 | 0 | 47 | 3 | 1 | 39.29% | 112 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | |
9 | Vladislav Gavrikov | 0 | D | 66 | 10 | 31 | 41 | 19 | 15 | 5 | 56 | 128 | 39 | 77 | 7.81% | 106 | 20.92 | 7 | 5 | 12 | 188 | 0 | 1 | 1 | 186 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
10 | Thomas Chabot | 0 | D | 66 | 8 | 31 | 39 | 16 | 48 | 0 | 70 | 98 | 23 | 62 | 8.16% | 52 | 21.81 | 3 | 3 | 6 | 220 | 0 | 0 | 0 | 25 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
11 | Erik Cernak | 0 | D | 66 | 7 | 19 | 26 | 20 | 112 | 0 | 225 | 70 | 13 | 47 | 10.00% | 100 | 21.49 | 4 | 3 | 7 | 168 | 1 | 0 | 1 | 173 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
12 | Erik Johnson | 6 | D | 66 | 5 | 20 | 25 | 41 | 53 | 5 | 81 | 44 | 23 | 28 | 11.36% | 61 | 15.40 | 0 | 0 | 0 | 12 | 0 | 2 | 2 | 177 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
13 | Dmitri Voronkov | 0 | LW | 66 | 10 | 8 | 18 | -6 | 34 | 10 | 68 | 106 | 30 | 71 | 9.43% | 7 | 14.10 | 0 | 4 | 4 | 64 | 0 | 0 | 0 | 101 | 2 | 0 | 42.11% | 57 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
14 | Kent Johnson | 91 | C/LW | 66 | 8 | 9 | 17 | 10 | 2 | 0 | 8 | 76 | 23 | 69 | 10.53% | 4 | 11.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 27.08% | 48 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
15 | Paul Cotter | 0 | C/LW/RW | 66 | 6 | 10 | 16 | 38 | 62 | 0 | 115 | 52 | 13 | 31 | 11.54% | 2 | 13.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 41.54% | 65 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
16 | Nico Sturm | 0 | C/LW | 66 | 6 | 6 | 12 | 4 | 0 | 0 | 3 | 34 | 15 | 34 | 17.65% | 4 | 6.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0 | 0 | 49.10% | 446 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
17 | Mathieu Olivier | 24 | RW | 43 | 4 | 4 | 8 | 7 | 26 | 0 | 61 | 34 | 12 | 20 | 11.76% | 5 | 9.29 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 171 | 2 | 0 | 52.38% | 21 | 0 | 0 | 1 | 0 | 0.40 | 0 | 0 | |
18 | Parker Kelly | 0 | C/LW | 59 | 0 | 6 | 6 | 4 | 4 | 0 | 14 | 49 | 13 | 35 | 0.00% | 9 | 7.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 121 | 0 | 0 | 30.77% | 26 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
Team Total or Average | 1158 | 272 | 482 | 754 | 382 | 603 | 35 | 1405 | 2602 | 785 | 1865 | 10.45% | 616 | 16.92 | 66 | 115 | 181 | 2215 | 5 | 10 | 15 | 1963 | 45 | 14 | 51.42% | 6093 | 0 | 0 | 1 | 7 | 0.77 | 2 | 7 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Andrei Vasilevskiy | 57 | 42 | 12 | 3 | 0.912 | 2.56 | 3416 | 2 | 3 | 146 | 1650 | 0 | 3 | 2 | 1.000 | 3 | 56 | 10 | 4 | 3 | 1 | |
2 | Jonathan Quick | 19 | 11 | 7 | 0 | 0.921 | 2.84 | 1100 | 0 | 0 | 52 | 659 | 0 | 1 | 2 | 1.000 | 5 | 17 | 51 | 0 | 1 | 2 | |
Team Total or Average | 76 | 53 | 19 | 3 | 0.914 | 2.63 | 4517 | 2 | 3 | 198 | 2309 | 0 | 4 | 4 | 1.000 | 8 | 73 | 61 | 4 | 4 | 3 |
Projected Total Cap Hit | 87,665,433$ |
Projected Cap Space | 334,567$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 73,302,169$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Blue Jackets Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Vasilevskiy | G | 30 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Boone Jenner ![]() | C/LW | 31 | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||||
Brady Skjei ![]() | D | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Dmitri Voronkov ![]() | LW | 24 | 925,000$ | 925,000$ | RFA | ||||||
Erik Cernak ![]() | D | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||
Erik Johnson ![]() | D | 37 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Jack Eichel ![]() | C | 28 | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | |||||
Jesper Bratt ![]() | LW/RW | 26 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA |
Jonathan Quick | G | 39 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Kent Johnson ![]() | C/LW | 22 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | RFA | ||||
Mathieu Olivier ![]() | RW | 28 | 875,000$ | 875,000$ | UFA | ||||||
Mikko Rantanen ![]() | C/LW/RW | 28 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Nico Sturm ![]() | C/LW | 29 | 1,050,000$ | 1,050,000$ | UFA | ||||||
Parker Kelly ![]() | C/LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Paul Cotter ![]() | C/LW/RW | 25 | 775,000$ | 775,000$ | 775,000$ | ||||||
Rasmus Andersson ![]() | D | 28 | 4,450,000$ | 4,450,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA |
Sam Bennett ![]() | C/LW/RW | 28 | 4,425,000$ | 4,425,000$ | 4,425,000$ | UFA | |||||
Sam Reinhart ![]() | C/RW | 29 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
Thomas Chabot ![]() | D | 28 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Vladislav Gavrikov ![]() | D | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Petrovic ![]() | D | 33 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cade Webber ![]() | D | 24 | 875,000$ | 875,000$ | 875,000$ | ![]() | |||||
Calle Rosen ![]() | D | 31 | 900,000$ | 900,000$ | UFA | ||||||
Christian Fischer ![]() | C/LW/RW | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Cole Koepke ![]() | LW/RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Colten Ellis ![]() | G | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Daniel Torgersson ![]() | LW/RW | 23 | 867,500$ | 867,500$ | RFA | ||||||
Daniil Tarasov ![]() | G | 25 | 1,050,000$ | 1,050,000$ | ![]() | ||||||
Dennis Gilbert ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Dmitri Samorukov ![]() | D | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Emil Bemstrom ![]() | C/RW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Eric Comrie ![]() | G | 29 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Fabian Wagner ![]() | C | 20 | 858,333$ | 858,333$ | 858,333$ | RFA | |||||
Jack St. Ivany ![]() ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Jaroslav Chmelar ![]() | RW | 21 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Jere Innala ![]() | LW | 27 | 870,000$ | 870,000$ | ![]() | ||||||
Joseph LaBate ![]() | LW/RW | 31 | 775,000$ | 775,000$ | UFA | ||||||
Kevin Gravel ![]() | D | 33 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Kirill Kudryavtsev ![]() | D | 21 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Liam Foudy ![]() | C | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Logan Brown ![]() | C | 27 | 950,000$ | 950,000$ | ![]() | ||||||
Marshall Rifai ![]() | D | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Matej Pekar ![]() | LW | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Milo Roelens ![]() | C | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Nathan Walker ![]() | LW | 31 | 900,000$ | 900,000$ | UFA | ||||||
Nick Blankenburg ![]() | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Noah Philp ![]() | C | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Reece Newkirk ![]() | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Ryan Francis ![]() | C | 23 | 0$ | RFA | |||||||
Sandis Vilmanis ![]() | LW | 22 | 855,000$ | 855,000$ | 855,000$ | 855,000$ | RFA | ||||
Shane Bowers ![]() | RW | 25 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Sheldon Dries ![]() | C | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Tyler Tullio ![]() | RW | 22 | 823,333$ | 823,333$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 3 | 0 | 0 | 0 | 81 | 29 | 28 | 24 | 0 | 72 | 18 | 16 | 42 | 10 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 49 | 34 | 45 | 14 | 24 | 12 | 37.5% | 3.7% | 90.3% | 94.0 | Unlucky | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 1 | 2 | 4 | 0 | 129 | 42 | 40 | 47 | 0 | 111 | 33 | 34 | 57 | 15 | 1 | 6.67% | 16 | 4 | 75.00% | 1 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 70 | 47 | 72 | 22 | 37 | 18 | 60.0% | 5.4% | 92.8% | 98.2 | DULL | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 4 | 1.000 | 13 | 24 | 37 | 0 | 0 | 5 | 5 | 3 | 0 | 90 | 25 | 32 | 33 | 0 | 53 | 16 | 12 | 48 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 1 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 54 | 39 | 39 | 14 | 25 | 13 | 80.0% | 14.4% | 90.6% | 105.0 | FUN | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 16 | 26 | 0 | 1 | 0 | 7 | 3 | 0 | 70 | 12 | 26 | 32 | 0 | 71 | 21 | 24 | 53 | 4 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 47 | 32 | 47 | 14 | 24 | 12 | 76.9% | 14.3% | 95.8% | 110.1 | LUCKY | |
5 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 9 | 7 | 8 | 1.000 | 16 | 29 | 45 | 0 | 0 | 6 | 6 | 4 | 0 | 145 | 40 | 54 | 51 | 0 | 129 | 39 | 38 | 67 | 20 | 5 | 25.00% | 18 | 2 | 88.89% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 96 | 68 | 96 | 29 | 47 | 24 | 61.1% | 11.0% | 93.0% | 104.1 | LUCKY | |
6 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 3 | 1 | 43 | 12 | 8 | 21 | 2 | 32 | 12 | 4 | 17 | 4 | 1 | 25.00% | 2 | 2 | 0.00% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 23 | 15 | 23 | 8 | 15 | 7 | 66.7% | 11.6% | 87.5% | 99.1 | FUN | |
7 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 6 | 0.750 | 10 | 18 | 28 | 0 | 1 | 2 | 7 | 1 | 0 | 158 | 62 | 52 | 44 | 0 | 86 | 27 | 28 | 83 | 16 | 5 | 31.25% | 13 | 0 | 100.00% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 101 | 70 | 89 | 30 | 48 | 24 | 45.5% | 6.3% | 93.0% | 99.4 | DULL | |
8 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 7 | 9 | 6 | 1.000 | 16 | 30 | 46 | 0 | 0 | 10 | 4 | 2 | 0 | 132 | 50 | 42 | 40 | 0 | 61 | 14 | 14 | 65 | 19 | 3 | 15.79% | 7 | 1 | 85.71% | 1 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 78 | 56 | 64 | 21 | 37 | 20 | 68.4% | 12.1% | 88.5% | 100.6 | FUN | |
9 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 12 | 7 | 5 | 5 | 0.833 | 12 | 22 | 34 | 0 | 0 | 6 | 1 | 5 | 0 | 131 | 49 | 43 | 39 | 0 | 56 | 22 | 27 | 60 | 11 | 2 | 18.18% | 9 | 0 | 100.00% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 76 | 55 | 67 | 19 | 37 | 19 | 58.8% | 9.2% | 87.5% | 96.7 | FUN | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 1 | 9 | 4 | 1.000 | 10 | 18 | 28 | 0 | 1 | 4 | 4 | 2 | 0 | 81 | 34 | 26 | 21 | 0 | 56 | 15 | 14 | 46 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 52 | 37 | 43 | 14 | 23 | 12 | 90.0% | 12.3% | 98.2% | 110.6 | LUCKY | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 18 | 27 | 1 | 0 | 5 | 2 | 2 | 0 | 92 | 32 | 32 | 28 | 0 | 72 | 23 | 24 | 49 | 9 | 3 | 33.33% | 11 | 4 | 63.64% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 49 | 34 | 45 | 14 | 25 | 12 | 54.5% | 9.8% | 87.5% | 97.3 | FUN | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 4 | 2 | 0 | 0 | 43 | 15 | 20 | 8 | 0 | 21 | 10 | 10 | 23 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 27 | 19 | 20 | 6 | 12 | 6 | 62.5% | 14.0% | 85.7% | 99.7 | FUN | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 2 | 2 | 5 | 0 | 75 | 33 | 18 | 24 | 0 | 68 | 15 | 6 | 51 | 9 | 3 | 33.33% | 3 | 1 | 66.67% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 47 | 33 | 44 | 15 | 27 | 13 | 42.9% | 12.0% | 86.8% | 98.8 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 52 | 17 | 10 | 25 | 0 | 17 | 7 | 10 | 13 | 6 | 3 | 50.00% | 3 | 1 | 66.67% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 29 | 21 | 18 | 6 | 11 | 7 | 100.0% | 11.5% | 94.1% | 105.7 | LUCKY | |
15 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 1.000 | 12 | 23 | 35 | 0 | 0 | 7 | 4 | 1 | 0 | 105 | 34 | 39 | 32 | 0 | 94 | 24 | 22 | 65 | 15 | 4 | 26.67% | 11 | 2 | 81.82% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 76 | 54 | 66 | 21 | 36 | 18 | 61.5% | 11.4% | 92.6% | 104.0 | LUCKY | |
16 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 2 | 5 | 3 | 1 | 85 | 29 | 33 | 20 | 8 | 65 | 20 | 20 | 41 | 9 | 4 | 44.44% | 9 | 2 | 77.78% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 50 | 35 | 48 | 15 | 26 | 13 | 70.0% | 12.9% | 92.3% | 105.2 | LUCKY | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 2 | 0.500 | 8 | 15 | 23 | 1 | 0 | 3 | 3 | 2 | 0 | 86 | 33 | 17 | 36 | 0 | 59 | 17 | 26 | 49 | 3 | 2 | 66.67% | 12 | 1 | 91.67% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 48 | 33 | 46 | 14 | 24 | 12 | 60.0% | 9.3% | 91.5% | 100.8 | LUCKY | |
18 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 11 | -4 | 1 | 0.250 | 7 | 12 | 19 | 0 | 0 | 3 | 3 | 1 | 0 | 74 | 22 | 28 | 24 | 0 | 61 | 19 | 20 | 37 | 7 | 2 | 28.57% | 9 | 5 | 44.44% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 43 | 29 | 50 | 15 | 26 | 12 | 45.5% | 9.5% | 82.0% | 91.4 | FUN | |
19 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 2 | 0.333 | 10 | 14 | 24 | 0 | 0 | 3 | 4 | 3 | 0 | 102 | 18 | 37 | 47 | 0 | 92 | 35 | 30 | 62 | 6 | 1 | 16.67% | 15 | 4 | 73.33% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 68 | 46 | 71 | 23 | 39 | 20 | 60.0% | 9.8% | 89.1% | 98.9 | FUN | |
20 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 1 | 0 | 0 | 1 | 2 | 0 | 59 | 22 | 18 | 16 | 3 | 66 | 17 | 33 | 38 | 3 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 47 | 31 | 48 | 14 | 26 | 12 | 37.5% | 5.1% | 90.9% | 96.0 | Unlucky | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 5 | 2 | 3 | 0 | 81 | 37 | 20 | 24 | 0 | 60 | 21 | 26 | 41 | 2 | 0 | 0.00% | 9 | 2 | 77.78% | 1 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 51 | 37 | 45 | 12 | 23 | 11 | 71.4% | 12.3% | 90.0% | 102.3 | FUN | |
22 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 0 | 4 | 4 | 1 | 91 | 19 | 34 | 34 | 4 | 57 | 9 | 18 | 43 | 12 | 3 | 25.00% | 9 | 2 | 77.78% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 55 | 40 | 41 | 14 | 24 | 12 | 75.0% | 9.9% | 93.0% | 102.9 | LUCKY | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 6 | 1 | 1 | 0 | 79 | 27 | 23 | 29 | 0 | 48 | 14 | 14 | 33 | 8 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 52 | 38 | 42 | 14 | 24 | 12 | 57.1% | 10.1% | 85.4% | 95.5 | FUN | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 2 | 5 | 2 | 0 | 80 | 20 | 31 | 29 | 0 | 79 | 12 | 43 | 51 | 6 | 2 | 33.33% | 14 | 2 | 85.71% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 42 | 28 | 52 | 15 | 24 | 11 | 87.5% | 11.3% | 96.2% | 107.5 | LUCKY | |
25 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 4 | 3 | 2 | 1 | 80 | 20 | 31 | 26 | 6 | 71 | 21 | 33 | 48 | 5 | 3 | 60.00% | 11 | 2 | 81.82% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 44 | 29 | 54 | 14 | 26 | 12 | 77.8% | 12.5% | 94.4% | 106.9 | LUCKY | |
26 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 2 | 4 | 0 | 76 | 30 | 24 | 22 | 0 | 57 | 19 | 8 | 40 | 9 | 3 | 33.33% | 4 | 1 | 75.00% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 50 | 36 | 43 | 14 | 25 | 12 | 50.0% | 10.5% | 89.5% | 100.0 | FUN | |
27 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 2 | 5 | 1 | 0 | 103 | 32 | 45 | 26 | 0 | 56 | 17 | 22 | 45 | 17 | 2 | 11.76% | 9 | 2 | 77.78% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 51 | 37 | 44 | 14 | 24 | 12 | 85.7% | 7.8% | 94.6% | 102.4 | DULL | |
28 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 4 | 1.000 | 12 | 22 | 34 | 0 | 0 | 6 | 2 | 4 | 0 | 63 | 27 | 22 | 14 | 0 | 52 | 14 | 23 | 45 | 7 | 1 | 14.29% | 9 | 3 | 66.67% | 1 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 48 | 32 | 45 | 14 | 26 | 12 | 73.3% | 19.0% | 86.5% | 105.6 | FUN | |
29 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 4 | 3 | 2 | 0 | 78 | 23 | 28 | 27 | 0 | 42 | 17 | 19 | 48 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 47 | 32 | 46 | 13 | 26 | 13 | 57.1% | 11.5% | 85.7% | 97.3 | FUN | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 2 | 0.500 | 9 | 14 | 23 | 0 | 0 | 2 | 3 | 4 | 0 | 71 | 18 | 21 | 32 | 0 | 53 | 18 | 20 | 43 | 7 | 3 | 42.86% | 10 | 0 | 100.00% | 0 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 50 | 33 | 43 | 13 | 26 | 13 | 60.0% | 12.7% | 92.5% | 105.1 | LUCKY | |
_Vs Division | 19 | 16 | 3 | 0 | 0 | 0 | 0 | 0 | 74 | 35 | 39 | 32 | 0.842 | 74 | 132 | 206 | 0 | 3 | 20 | 36 | 18 | 0 | 776 | 247 | 275 | 254 | 0 | 562 | 168 | 172 | 399 | 87 | 15 | 17.24% | 78 | 10 | 87.18% | 2 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 475 | 333 | 432 | 140 | 232 | 118 | 70.2% | 9.5% | 93.8% | 103.3 | LUCKY | |
_Vs Conference | 37 | 28 | 6 | 0 | 1 | 2 | 0 | 0 | 144 | 82 | 62 | 60 | 0.811 | 144 | 257 | 401 | 1 | 3 | 48 | 56 | 39 | 1 | 1472 | 469 | 512 | 484 | 7 | 1045 | 308 | 324 | 772 | 162 | 31 | 19.14% | 142 | 21 | 85.21% | 3 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 929 | 654 | 836 | 270 | 460 | 234 | 64.9% | 9.8% | 92.2% | 101.9 | LUCKY | |
_Since Last GM Reset | 66 | 45 | 14 | 0 | 2 | 3 | 2 | 0 | 275 | 173 | 102 | 101 | 0.765 | 275 | 491 | 766 | 3 | 3 | 102 | 95 | 74 | 4 | 2635 | 863 | 882 | 875 | 23 | 1917 | 566 | 638 | 1403 | 262 | 60 | 22.90% | 270 | 49 | 81.85% | 5 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 1637 | 1147 | 1510 | 480 | 831 | 420 | 63.4% | 10.4% | 91.0% | 101.4 | FUN | |
Total | 66 | 45 | 14 | 0 | 2 | 3 | 2 | 0 | 275 | 173 | 102 | 101 | 0.765 | 275 | 491 | 766 | 3 | 3 | 102 | 95 | 74 | 4 | 2635 | 863 | 882 | 875 | 23 | 1917 | 566 | 638 | 1403 | 262 | 60 | 22.90% | 270 | 49 | 81.85% | 5 | 1393 | 2695 | 51.69% | 1175 | 2251 | 52.20% | 559 | 1088 | 51.38% | 1637 | 1147 | 1510 | 480 | 831 | 420 | 63.4% | 10.4% | 91.0% | 101.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2695 |
Neutral Zone Start | 1088 |
Defensive Zone Start | 2251 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3127 |
Faceoffs Lost | 2907 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.1 | 9.57 |
2nd Period | 26.4 | 20.31 |
3rd Period | 39.7 | 30.68 |
Overtime | 40.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 3.0 | 1.65 |
3rd Period | 4.1 | 2.67 |
Overtime | 4.2 | 2.83 |
Even Strenght Goal | 207 |
---|---|
PP Goal | 60 |
PK Goal | 5 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 20 | 29 |
Lost | 9 | 5 |
Overtime Lost | 3 | 0 |
PP Attempt | 262 |
---|---|
PP Goal | 60 |
PK Attempt | 270 |
PK Goal Against | 49 |
Home | |
---|---|
Shots For | 39.9 |
Shots Against | 29.0 |
Goals For | 4.2 |
Goals Against | 2.6 |
Hits | 21.3 |
Shots Blocked | 8.6 |
Pim | 9.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-12 | @ | Blue Jackets5,Wild3 | RECAP | |||||||||||
2024-10-14 | @ | Blue Jackets5,Avalanche4 (OT) | RECAP | |||||||||||
2024-10-17 | @ | Panthers3,Blue Jackets4 (OT) | RECAP | |||||||||||
2024-10-19 | @ | Sabres2,Blue Jackets1 (OT) | RECAP | |||||||||||
2024-10-21 | @ | Wild6,Blue Jackets4 | RECAP | |||||||||||
2024-10-24 | @ | Maple Leafs2,Blue Jackets3 | RECAP | |||||||||||
2024-10-28 | @ | Blue Jackets6,Predators1 | RECAP | |||||||||||
2024-10-30 | @ | Oilers2,Blue Jackets7 | RECAP | |||||||||||
2024-11-01 | @ | Islanders3,Blue Jackets6 | RECAP | |||||||||||
2024-11-03 | @ | Jets5,Blue Jackets3 | RECAP | |||||||||||
2024-11-04 | @ | Blue Jackets3,Capitals0 | RECAP | |||||||||||
2024-11-07 | @ | Blue Jackets6,Sharks3 | RECAP | |||||||||||
2024-11-11 | @ | Blue Jackets5,Kings2 | RECAP | |||||||||||
2024-11-12 | @ | Blue Jackets6,Ducks2 | RECAP | |||||||||||
2024-11-14 | @ | Blue Jackets2,Kraken3 | RECAP | |||||||||||
2024-11-17 | @ | Penguins2,Blue Jackets3 | RECAP | |||||||||||
2024-11-18 | @ | Blue Jackets5,Canadiens3 | RECAP | |||||||||||
2024-11-20 | @ | Blue Jackets4,Bruins6 | RECAP | |||||||||||
2024-11-23 | @ | Lightning2,Blue Jackets4 | RECAP | |||||||||||
2024-11-25 | @ | Hurricanes2,Blue Jackets4 | RECAP | |||||||||||
2024-11-29 | @ | Canadiens2,Blue Jackets1 (OT) | RECAP | |||||||||||
2024-12-01 | @ | Flames2,Blue Jackets1 | RECAP | |||||||||||
2024-12-03 | @ | Blue Jackets5,Blackhawks2 | RECAP | |||||||||||
2024-12-05 | @ | Blue Jackets2,Flames5 | RECAP | |||||||||||
2024-12-07 | @ | Blue Jackets4,Oilers3 (SO) | RECAP | |||||||||||
2024-12-08 | @ | Blue Jackets6,Canucks3 | RECAP | |||||||||||
2024-12-10 | @ | Blue Jackets5,Jets2 | RECAP | |||||||||||
2024-12-12 | @ | Flyers4,Blue Jackets3 | RECAP | |||||||||||
2024-12-14 | @ | Capitals1,Blue Jackets7 | RECAP | |||||||||||
2024-12-16 | @ | Ducks1,Blue Jackets3 | RECAP | |||||||||||
2024-12-17 | @ | Blue Jackets4,Hurricanes2 | RECAP | |||||||||||
2024-12-19 | @ | Blue Jackets4,Lightning2 | RECAP | |||||||||||
2024-12-21 | @ | Devils3,Blue Jackets6 | RECAP | |||||||||||
2024-12-23 | @ | Blue Jackets4,Flyers3 | RECAP | |||||||||||
2024-12-25 | @ | Canadiens2,Blue Jackets6 | RECAP | |||||||||||
2024-12-29 | @ | Bruins3,Blue Jackets1 | RECAP | |||||||||||
2024-12-30 | @ | Blue Jackets5,Bruins1 | RECAP | |||||||||||
2025-01-02 | @ | Hurricanes2,Blue Jackets3 | RECAP | |||||||||||
2025-01-04 | @ | Red Wings1,Blue Jackets5 | RECAP | |||||||||||
2025-01-06 | @ | Blues4,Blue Jackets2 | RECAP | |||||||||||
2025-01-09 | @ | Blue Jackets5,Penguins1 | RECAP | |||||||||||
2025-01-11 | @ | Kraken1,Blue Jackets7 | RECAP | |||||||||||
2025-01-13 | @ | Blue Jackets6,Blues1 | RECAP | |||||||||||
2025-01-16 | @ | Flyers1,Blue Jackets0 | RECAP | |||||||||||
2025-01-18 | @ | Sharks4,Blue Jackets6 | RECAP | |||||||||||
2025-01-20 | @ | Blue Jackets4,Rangers1 | RECAP | |||||||||||
2025-01-22 | @ | Blue Jackets4,Islanders0 | RECAP | |||||||||||
2025-01-24 | @ | Blue Jackets5,Maple Leafs4 | RECAP | |||||||||||
2025-01-25 | @ | Blue Jackets5,Hurricanes3 | RECAP | |||||||||||
2025-01-27 | @ | Kings7,Blue Jackets4 | RECAP | |||||||||||
2025-02-01 | @ | Blue Jackets5,Golden Knights4 | RECAP | |||||||||||
2025-02-02 | @ | Blue Jackets3,Hockey Club6 | RECAP | |||||||||||
2025-02-04 | @ | Blue Jackets7,Stars2 | RECAP | |||||||||||
2025-02-06 | @ | Blue Jackets2,Sabres4 | RECAP | |||||||||||
2025-02-08 | @ | Hockey Club5,Blue Jackets4 (OT) | RECAP | |||||||||||
2025-02-10 | @ | Rangers0,Blue Jackets3 | RECAP | |||||||||||
2025-02-24 | @ | Blackhawks4,Blue Jackets5 | RECAP | |||||||||||
2025-02-27 | @ | Stars2,Blue Jackets3 (SO) | RECAP | |||||||||||
2025-03-01 | @ | Blue Jackets5,Red Wings3 | RECAP | |||||||||||
2025-03-03 | @ | Red Wings3,Blue Jackets6 | RECAP | |||||||||||
2025-03-06 | @ | Blue Jackets4,Lightning3 | RECAP | |||||||||||
2025-03-08 | @ | Blue Jackets5,Panthers1 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-11 | @ | Blue Jackets2,Rangers1 | RECAP | |||||||||||
2025-03-13 | @ | Blue Jackets7,Devils2 | RECAP | |||||||||||
2025-03-15 | @ | Golden Knights2,Blue Jackets4 | RECAP | |||||||||||
2025-03-17 | @ | Rangers4,Blue Jackets1 | RECAP | |||||||||||
2025-03-19 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-23 | @ | |||||||||||||
2025-03-26 | @ | |||||||||||||
2025-03-30 | @ | |||||||||||||
2025-03-31 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-07 | @ | |||||||||||||
2025-04-08 | @ | |||||||||||||
2025-04-10 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-14 | @ | |||||||||||||
2025-04-15 | @ | |||||||||||||
2025-04-17 | @ | |||||||||||||
2025-04-19 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
88,800,000$ | 0$ | 87,665,433$ | -800,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Nationwide Arena | |
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 | 185358 | 153645 | 61615 | 122802 | 30549 |
Attendance PCT | 96.54% | 96.03% | 96.27% | 95.94% | 95.47% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
9 | 17312 - 96.18% | 1,588,067$ | 50,818,139$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
88,800,000$ | 88,800,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
74,820,756$ | 448,852$ | 73,302,169$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
14,292,602$ | 32 | 458,163$ | 14,661,216$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
15,004,512$ | 88,800,000$ | 40,845,672$ | 40,133,762$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
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7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aaron Huglen | 2019 | 101 | |||
Alex Bump | 2022 | 153 | |||
Alex Cotton | 2020 | 58 | |||
Alexis Gravel | 6.5 - 6.5 | ||||
Brennan Ali | 2022 | 207 | |||
Brock Gould | 2020 | 199 | |||
Charlie Desroches | 2020 | 156 | |||
Chase Cheslock | 2023 | 148 | |||
Dmitri Buchelnikov | 2022 | 67 | |||
Dominic Basse | 2019 | 178 | |||
Eemeli Rasanen | 3.0 - 3.0 | ||||
Ethan Hay | 2023 | 214 | |||
Frantisek Dej | 2023 | 223 | |||
Garrett Brown | 2022 | 111 | |||
Gunnarwolfe Fontaine | 2020 | 178 | |||
Jack Devine | 2022 | 163 | |||
Jacob Dion | 2020 | 133 | |||
Jacob Holmes | 2021 | 157 | |||
Jason Shaugabay | 2023 | 105 | |||
Kaden Pitre | 2024 | 184 | |||
Kienan Draper | |||||
Luke Devlin | 2022 | 191 | |||
Matthew Lahey | 2024 | 200 | |||
Matvei Gridin | 2024 | 29 | |||
Matvei Shuravin | 2024 | 53 | |||
Mike Koster | 2019 | 139 | |||
Nicholas Capone | |||||
Nikita Susuyev | 2023 | 180 | |||
Robert Orr | 2021 | 130 | |||
Ryan Healey | 2022 | 124 | |||
Sasha Mutala | 2019 | 146 | |||
Sean Tschigerl | 2021 | 142 | |||
Ty Young | 2022 | 155 | |||
Tyler Peddle | 2023 | 204 | |||
Viljami Marjala | 2021 | 156 |
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