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Full Scoreboard » |
Columbus Blue Jackets 30-32-5, 65pts · 14th in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 24 | C/LW | 100.00 | 65 | 34 | 95 | 68 | 67 | 85 | 88 | 69 | 78 | 65 | 68 | 79 | 71 | 69 | 70 | 36 | 75 | 0 | 28 | 1,825,000$/1yrs | |||
![]() | 90 | LW/RW | 99.25 | 66 | 33 | 90 | 73 | 65 | 83 | 89 | 71 | 56 | 72 | 68 | 65 | 74 | 84 | 76 | 36 | 75 | 0 | 34 | 5,000,000$/1yrs | |||
![]() | 53 | C/LW | 100.00 | 72 | 37 | 85 | 67 | 71 | 83 | 85 | 65 | 83 | 71 | 59 | 88 | 61 | 72 | 71 | 57 | 75 | 0 | 30 | 2,200,000$/2yrs | |||
![]() | 25 | LW | 100.00 | 61 | 37 | 89 | 70 | 85 | 84 | 85 | 72 | 59 | 74 | 67 | 69 | 73 | 88 | 77 | 47 | 75 | 0 | 35 | 1,500,000$/1yrs | |||
![]() | 21 | C | 99.00 | 64 | 36 | 94 | 72 | 78 | 89 | 90 | 71 | 76 | 72 | 64 | 91 | 67 | 78 | 74 | 67 | 75 | 0 | 30 | 5,200,000$/2yrs | |||
![]() | 13 | LW | 99.25 | 72 | 38 | 86 | 74 | 76 | 87 | 90 | 77 | 56 | 73 | 74 | 65 | 76 | 64 | 69 | 91 | 75 | 0 | 23 | 2,325,000$/1yrs | |||
![]() | 7 | C/LW | 100.00 | 72 | 40 | 92 | 66 | 85 | 83 | 86 | 65 | 88 | 62 | 64 | 81 | 62 | 70 | 72 | 36 | 75 | 0 | 29 | 2,000,000$/1yrs | |||
![]() | 23 | C | 99.00 | 61 | 36 | 92 | 73 | 81 | 88 | 80 | 74 | 85 | 77 | 75 | 78 | 72 | 79 | 75 | 70 | 75 | 0 | 30 | 5,750,000$/5yrs | |||
![]() | 48 | C/LW/RW | 100.00 | 69 | 38 | 81 | 68 | 74 | 86 | 90 | 67 | 59 | 69 | 66 | 80 | 65 | 78 | 74 | 43 | 75 | 0 | 32 | 3,050,000$/3yrs | |||
![]() | 20 | C/LW | 99.25 | 67 | 38 | 90 | 78 | 76 | 91 | 89 | 74 | 85 | 81 | 69 | 84 | 71 | 73 | 75 | 52 | 75 | 0 | 30 | 5,000,000$/3yrs | |||
![]() | 80 | C | 99.25 | 70 | 45 | 72 | 77 | 91 | 87 | 89 | 75 | 79 | 76 | 74 | 66 | 78 | 70 | 72 | 85 | 75 | 0 | 26 | 7,320,000$/3yrs | |||
![]() | 13 | LW/RW | 99.25 | 80 | 66 | 79 | 74 | 72 | 84 | 88 | 67 | 54 | 66 | 65 | 93 | 64 | 76 | 75 | 26 | 75 | 0 | 33 | 3,500,000$/1yrs | |||
![]() | 8 | D | 99.00 | 65 | 39 | 90 | 66 | 79 | 90 | 86 | 62 | 30 | 73 | 54 | 92 | 48 | 83 | 76 | 23 | 75 | 0 | 35 | 4,500,000$/6yrs | |||
![]() | 26 | D | 99.25 | 72 | 34 | 82 | 70 | 71 | 88 | 89 | 67 | 30 | 72 | 65 | 81 | 54 | 72 | 71 | 35 | 75 | 0 | 30 | 3,875,000$/5yrs | |||
![]() | 88 | D | 100.00 | 63 | 39 | 88 | 74 | 95 | 93 | 90 | 72 | 30 | 82 | 73 | 83 | 59 | 94 | 80 | 32 | 75 | 0 | 40 | 8,000,000$/1yrs | |||
![]() | 57 | D | 99.25 | 72 | 77 | 71 | 66 | 99 | 90 | 89 | 61 | 30 | 75 | 57 | 87 | 49 | 86 | 74 | 45 | 75 | 0 | 35 | 3,150,000$/3yrs | |||
![]() | 85 | D | 100.00 | 74 | 45 | 72 | 66 | 84 | 85 | 86 | 64 | 30 | 68 | 60 | 61 | 52 | 64 | 65 | 48 | 75 | 0 | 25 | 1,400,000$/2yrs | |||
![]() | 46 | D | 98.75 | 66 | 39 | 77 | 72 | 81 | 90 | 84 | 71 | 30 | 70 | 73 | 89 | 58 | 69 | 71 | 53 | 75 | 0 | 29 | 3,400,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 86 | RW | 100.00 | 70 | 39 | 73 | 65 | 69 | 86 | 82 | 64 | 59 | 63 | 63 | 62 | 65 | 67 | 69 | 42 | 75 | 0 | 27 | 775,000$/1yrs | |||
![]() | 39 | C/LW | 0.00 | 74 | 39 | 92 | 73 | 79 | 90 | 76 | 78 | 77 | 79 | 76 | 89 | 77 | 86 | 92 | 44 | 75 | 0 | 35 | 8,000,000$/3yrs | |||
![]() | 13 | C/LW | 100.00 | 80 | 79 | 82 | 63 | 89 | 82 | 73 | 64 | 78 | 68 | 62 | 79 | 61 | 72 | 73 | 54 | 75 | 0 | 30 | 775,000$/1yrs | |||
![]() | 8 | D | 100.00 | 74 | 72 | 86 | 62 | 96 | 87 | 78 | 59 | 30 | 69 | 52 | 80 | 47 | 72 | 74 | 30 | 75 | 0 | 32 | 775,000$/1yrs | |||
TEAM AVERAGE | 94.91 | 70 | 45 | 84 | 70 | 80 | 87 | 86 | 69 | 58 | 72 | 66 | 79 | 64 | 76 | 74 | 48 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 90 | 100.00 | 86 | 84 | 79 | 80 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 73 | 84 | 52 | 75 | 0 | 30 | 5,400,000$/3yrs |
![]() | 39 | 96.50 | 91 | 85 | 81 | 80 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 67 | 77 | 54 | 75 | 0 | 27 | 1,950,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.00 | 89 | 85 | 80 | 80 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 70 | 81 | 53 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dean Evason | 82 | 86 | 83 | 78 | 90 | 84 | 56 | CAN | 60 | 3 | 3,000,000$ |
General Manager | Alexandre Jolicoeur |
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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 | Brent Burns | 88 | D | 67 | 10 | 37 | 47 | -5 | 28 | 0 | 49 | 120 | 23 | 76 | 8.33% | 83 | 22.11 | 6 | 13 | 19 | 225 | 0 | 1 | 1 | 198 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
2 | Chandler Stephenson | 20 | C/LW | 67 | 20 | 26 | 46 | 0 | 20 | 0 | 60 | 212 | 64 | 151 | 9.43% | 11 | 18.51 | 1 | 3 | 4 | 199 | 2 | 1 | 3 | 121 | 2 | 4 | 53.30% | 1471 | 0 | 0 | 0 | 0 | 0.74 | 1 | 6 | ||
3 | Chris Tanev | 8 | D | 67 | 7 | 32 | 39 | -8 | 27 | 5 | 58 | 79 | 21 | 57 | 8.86% | 126 | 22.43 | 2 | 7 | 9 | 160 | 1 | 2 | 3 | 141 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
4 | Pierre-Luc Dubois | 80 | C | 67 | 16 | 22 | 38 | -5 | 43 | 5 | 126 | 160 | 27 | 96 | 10.00% | 7 | 16.93 | 6 | 11 | 17 | 224 | 0 | 0 | 0 | 0 | 3 | 0 | 48.53% | 408 | 0 | 0 | 0 | 0 | 0.67 | 0 | 6 | ||
5 | Tyler Myers | 57 | D | 67 | 10 | 26 | 36 | 1 | 78 | 0 | 143 | 90 | 20 | 46 | 11.11% | 84 | 22.91 | 5 | 3 | 8 | 205 | 0 | 2 | 2 | 170 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
6 | Sean Monahan | 23 | C | 67 | 14 | 22 | 36 | -19 | 8 | 0 | 31 | 187 | 66 | 128 | 7.49% | 8 | 15.92 | 4 | 6 | 10 | 202 | 0 | 0 | 0 | 0 | 3 | 2 | 54.94% | 1387 | 0 | 0 | 0 | 0 | 0.67 | 1 | 1 | ||
7 | Alexis Lafreniere | 13 | LW | 67 | 12 | 23 | 35 | -12 | 39 | 5 | 94 | 167 | 46 | 120 | 7.19% | 6 | 16.26 | 4 | 11 | 15 | 225 | 0 | 0 | 0 | 0 | 1 | 1 | 41.25% | 80 | 0 | 0 | 0 | 0 | 0.64 | 0 | 1 | ||
8 | Jake Walman | 46 | D | 67 | 15 | 20 | 35 | -4 | 58 | 0 | 101 | 95 | 23 | 58 | 15.79% | 80 | 20.55 | 3 | 3 | 6 | 39 | 1 | 1 | 2 | 184 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
9 | Sean Walker | 26 | D | 67 | 7 | 26 | 33 | -12 | 55 | 5 | 90 | 102 | 33 | 68 | 6.86% | 66 | 18.82 | 6 | 6 | 12 | 226 | 0 | 1 | 1 | 65 | 2 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
10 | Brandon Tanev | 13 | LW/RW | 67 | 14 | 17 | 31 | -13 | 56 | 0 | 110 | 163 | 45 | 104 | 8.59% | 17 | 16.93 | 0 | 1 | 1 | 27 | 1 | 0 | 1 | 220 | 1 | 1 | 53.54% | 99 | 0 | 0 | 1 | 0 | 0.55 | 2 | 3 | ||
11 | James van Riemsdyk | 25 | LW | 67 | 8 | 19 | 27 | 3 | 6 | 0 | 32 | 126 | 26 | 85 | 6.35% | 4 | 11.80 | 2 | 9 | 11 | 195 | 0 | 0 | 0 | 0 | 0 | 0 | 47.06% | 51 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
12 | Jordan Martinook | 48 | C/LW/RW | 67 | 11 | 10 | 21 | -6 | 24 | 0 | 48 | 108 | 25 | 79 | 10.19% | 3 | 12.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 42.31% | 52 | 0 | 0 | 1 | 0 | 0.52 | 0 | 0 | ||
13 | Tomas Tatar | 90 | LW/RW | 58 | 8 | 10 | 18 | 0 | 10 | 0 | 37 | 109 | 33 | 82 | 7.34% | 4 | 15.48 | 0 | 0 | 0 | 173 | 0 | 0 | 0 | 3 | 1 | 0 | 47.17% | 53 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
14 | Teddy Blueger | 53 | C/LW | 67 | 7 | 11 | 18 | -3 | 26 | 0 | 58 | 93 | 24 | 70 | 7.53% | 17 | 14.06 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 143 | 2 | 0 | 51.04% | 819 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
15 | Alexander Wennberg | 21 | C | 67 | 8 | 10 | 18 | -16 | 6 | 0 | 36 | 106 | 37 | 91 | 7.55% | 22 | 16.96 | 1 | 0 | 1 | 30 | 0 | 2 | 2 | 250 | 0 | 0 | 49.12% | 798 | 0 | 0 | 0 | 0 | 0.32 | 1 | 6 | ||
16 | Nico Sturm | 7 | C/LW | 67 | 9 | 6 | 15 | 5 | 26 | 0 | 61 | 64 | 15 | 38 | 14.06% | 9 | 10.03 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 79 | 2 | 0 | 56.81% | 646 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
17 | Pius Suter | 24 | C/LW | 67 | 6 | 5 | 11 | 6 | 14 | 0 | 36 | 74 | 23 | 48 | 8.11% | 5 | 9.50 | 0 | 0 | 0 | 11 | 1 | 0 | 1 | 12 | 0 | 1 | 56.90% | 174 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
18 | Jaycob Megna | 8 | D | 53 | 1 | 5 | 6 | -2 | 30 | 0 | 47 | 20 | 5 | 10 | 5.00% | 39 | 13.97 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 57 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
19 | Michael Kesselring | 85 | D | 14 | 0 | 2 | 2 | -6 | 10 | 0 | 22 | 3 | 0 | 2 | 0.00% | 8 | 12.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
20 | Jujhar Khaira | 13 | C/LW | 9 | 1 | 0 | 1 | -2 | 4 | 0 | 6 | 11 | 2 | 6 | 9.09% | 0 | 11.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
Team Total or Average | 1206 | 184 | 329 | 513 | -98 | 568 | 20 | 1245 | 2089 | 558 | 1415 | 8.81% | 599 | 16.37 | 40 | 73 | 113 | 2154 | 7 | 11 | 18 | 1671 | 27 | 15 | 52.63% | 6042 | 0 | 0 | 2 | 0 | 0.52 | 5 | 23 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Ingram | Blue Jackets | 58 | 26 | 25 | 5 | 0.900 | 3.16 | 3262 | 0 | 0 | 172 | 1713 | 0 | 2 | 2 | 0.773 | 22 | 56 | 11 | 4 | 4 | 1 |
2 | Elvis Merzlikins | Blue Jackets | 16 | 4 | 7 | 0 | 0.899 | 3.11 | 790 | 0 | 0 | 41 | 404 | 0 | 0 | 0 | 0.000 | 0 | 11 | 56 | 1 | 0 | 0 |
Team Total or Average | 74 | 30 | 32 | 5 | 0.899 | 3.15 | 4052 | 0 | 0 | 213 | 2117 | 0 | 2 | 2 | 0.773 | 22 | 67 | 67 | 5 | 4 | 1 |
Projected Total Cap Hit | 78,664,346$ |
Projected Cap Space | 9,335,654$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 66,221,628$ |
Players In Salary Cap | 24 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Wennberg ![]() | C | 30 | 5,200,000$ | 5,200,000$ | 5,200,000$ | ||||||
Alexis Lafreniere | LW | 23 | 2,325,000$ | 2,325,000$ | |||||||
Brandon Tanev ![]() | LW/RW | 33 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Brent Burns ![]() | D | 40 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Carson Meyer ![]() | RW | 27 | 775,000$ | 775,000$ | RFA | ||||||
Chandler Stephenson ![]() | C/LW | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Chris Tanev | D/G | 35 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |
Connor Ingram | RW/G | 27 | 1,950,000$ | 1,950,000$ | 1,950,000$ | RFA | |||||
Elvis Merzlikins ![]() | D/G | 30 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | UFA | ||||
Jake Walman ![]() | D | 29 | 3,400,000$ | 3,400,000$ | 3,400,000$ | ||||||
James van Riemsdyk | LW | 35 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Jaycob Megna ![]() | D | 32 | 775,000$ | 775,000$ | |||||||
Jordan Martinook ![]() | C/LW/RW | 32 | 3,050,000$ | 3,050,000$ | 3,050,000$ | 3,050,000$ | UFA | ||||
Jujhar Khaira ![]() | C/LW | 30 | 775,000$ | 775,000$ | |||||||
Logan Couture ![]() ![]() | C/LW | 35 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
Michael Kesselring | D | 25 | 1,400,000$ | 1,400,000$ | 1,400,000$ | RFA | |||||
Nico Sturm | C/LW | 29 | 2,000,000$ | 2,000,000$ | |||||||
Pierre-Luc Dubois | C | 26 | 7,320,000$ | 7,320,000$ | 7,320,000$ | 7,320,000$ | RFA | ||||
Pius Suter | C/LW/G | 28 | 1,825,000$ | 1,825,000$ | RFA | ||||||
Sean Monahan ![]() | C | 30 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | ||
Sean Walker ![]() | D/G | 30 | 3,875,000$ | 3,875,000$ | 3,875,000$ | 3,875,000$ | 3,875,000$ | 3,875,000$ | UFA | ||
Teddy Blueger ![]() | C/LW | 30 | 2,200,000$ | 2,200,000$ | 2,200,000$ | ||||||
Tomas Tatar | LW/RW | 34 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Tyler Myers ![]() | D | 35 | 3,150,000$ | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA |
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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 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 78 | 26 | 26 | 26 | 0 | 95 | 31 | 20 | 54 | 15 | 1 | 6.67% | 9 | 2 | 77.78% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 71 | 49 | 69 | 21 | 38 | 19 | 14.3% | 2.6% | 91.6% | 94.1 | DULL | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 31 | 5 | 8 | 18 | 0 | 26 | 9 | 4 | 29 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 23 | 16 | 23 | 8 | 12 | 5 | 66.7% | 9.7% | 96.2% | 105.8 | LUCKY | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 69 | 29 | 22 | 18 | 0 | 67 | 22 | 24 | 31 | 9 | 2 | 22.22% | 12 | 3 | 75.00% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 46 | 29 | 48 | 15 | 25 | 11 | 40.0% | 5.8% | 91.0% | 96.8 | Unlucky | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 11 | 11 | 10 | 0 | 27 | 8 | 4 | 26 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 23 | 16 | 23 | 7 | 13 | 6 | 0.0% | 0.0% | 88.9% | 88.9 | Unlucky | |
5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 3 | 4 | 0 | 0 | 108 | 39 | 39 | 30 | 0 | 111 | 21 | 46 | 73 | 11 | 0 | 0.00% | 18 | 5 | 72.22% | 2 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 76 | 52 | 66 | 21 | 37 | 19 | 46.7% | 6.5% | 88.3% | 94.8 | Unlucky | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 1 | 0 | 2 | 0 | 28 | 5 | 12 | 11 | 0 | 23 | 7 | 12 | 20 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 1 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 23 | 16 | 23 | 7 | 13 | 6 | 33.3% | 10.7% | 78.3% | 89.0 | FUN | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 0 | 4 | 0 | 56 | 23 | 16 | 17 | 0 | 53 | 18 | 27 | 32 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 47 | 32 | 45 | 14 | 26 | 13 | 50.0% | 10.7% | 88.7% | 99.4 | FUN | |
8 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 3 | 3 | 0 | 0 | 62 | 17 | 24 | 21 | 0 | 71 | 20 | 6 | 44 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 46 | 32 | 50 | 14 | 25 | 12 | 60.0% | 9.7% | 91.5% | 101.2 | LUCKY | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 3 | 4 | 2 | 0 | 76 | 27 | 22 | 27 | 0 | 68 | 20 | 14 | 36 | 12 | 2 | 16.67% | 6 | 1 | 83.33% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 50 | 36 | 45 | 14 | 23 | 11 | 77.8% | 11.8% | 95.6% | 107.4 | LUCKY | |
10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 49 | 14 | 18 | 17 | 0 | 67 | 22 | 10 | 32 | 11 | 2 | 18.18% | 5 | 1 | 80.00% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 44 | 28 | 49 | 16 | 25 | 12 | 27.3% | 10.2% | 86.6% | 96.8 | FUN | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 5 | 2 | 1 | 0 | 70 | 29 | 29 | 12 | 0 | 75 | 14 | 14 | 31 | 10 | 3 | 30.00% | 7 | 2 | 71.43% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 55 | 40 | 40 | 12 | 24 | 12 | 41.7% | 11.4% | 88.0% | 99.4 | FUN | |
12 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 2 | 1 | 3 | 1 | 68 | 25 | 13 | 26 | 4 | 67 | 18 | 14 | 35 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 49 | 33 | 47 | 14 | 26 | 13 | 38.5% | 10.3% | 85.1% | 95.4 | FUN | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 2 | 2 | 0 | 0 | 48 | 18 | 14 | 16 | 0 | 73 | 27 | 25 | 31 | 3 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 42 | 27 | 52 | 15 | 24 | 11 | 36.4% | 8.3% | 89.0% | 97.4 | Unlucky | |
14 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 79 | 29 | 31 | 19 | 0 | 67 | 21 | 18 | 29 | 10 | 2 | 20.00% | 9 | 2 | 77.78% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 49 | 33 | 44 | 16 | 26 | 13 | 80.0% | 7.6% | 95.5% | 103.1 | DULL | |
15 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 2 | 0.333 | 7 | 11 | 18 | 0 | 0 | 4 | 1 | 1 | 1 | 85 | 34 | 18 | 27 | 9 | 106 | 30 | 28 | 55 | 9 | 1 | 11.11% | 14 | 2 | 85.71% | 1 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 73 | 49 | 71 | 22 | 39 | 19 | 50.0% | 8.2% | 92.5% | 100.7 | DULL | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 3 | 0 | 55 | 15 | 12 | 28 | 0 | 63 | 20 | 14 | 36 | 8 | 3 | 37.50% | 6 | 1 | 83.33% | 1 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 45 | 29 | 48 | 15 | 26 | 13 | 37.5% | 10.9% | 90.5% | 101.4 | FUN | |
17 | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 11 | 18 | -7 | 4 | 0.500 | 11 | 20 | 31 | 0 | 0 | 6 | 1 | 3 | 1 | 110 | 48 | 34 | 26 | 6 | 120 | 34 | 38 | 89 | 11 | 3 | 27.27% | 18 | 3 | 83.33% | 1 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 91 | 61 | 99 | 31 | 53 | 26 | 34.8% | 10.0% | 85.0% | 95.0 | FUN | |
18 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 6 | 1 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 2 | 2 | 3 | 2 | 65 | 21 | 27 | 16 | 7 | 71 | 11 | 10 | 33 | 9 | 1 | 11.11% | 5 | 1 | 80.00% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 54 | 38 | 45 | 14 | 25 | 12 | 54.5% | 10.8% | 91.5% | 102.3 | LUCKY | |
19 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 10 | 17 | 1 | 0 | 3 | 2 | 2 | 0 | 100 | 32 | 38 | 30 | 0 | 62 | 23 | 16 | 51 | 15 | 1 | 6.67% | 7 | 2 | 71.43% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 76 | 53 | 63 | 23 | 40 | 20 | 42.9% | 7.0% | 83.9% | 90.9 | Unlucky | |
20 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 2 | 1 | 66 | 20 | 19 | 24 | 3 | 60 | 18 | 14 | 43 | 10 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 50 | 34 | 46 | 15 | 24 | 12 | 54.5% | 9.1% | 88.3% | 97.4 | FUN | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 4 | 1 | 3 | 0 | 75 | 23 | 21 | 31 | 0 | 52 | 11 | 10 | 37 | 8 | 2 | 25.00% | 5 | 0 | 100.00% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 54 | 39 | 39 | 15 | 25 | 13 | 66.7% | 10.7% | 94.2% | 104.9 | LUCKY | |
22 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 1 | 2 | 1 | 52 | 15 | 16 | 18 | 7 | 74 | 23 | 14 | 35 | 5 | 1 | 20.00% | 7 | 2 | 71.43% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 46 | 31 | 51 | 16 | 26 | 13 | 36.4% | 9.6% | 87.8% | 97.5 | FUN | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 4 | 2 | 1 | 0 | 65 | 18 | 28 | 19 | 0 | 73 | 20 | 21 | 40 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 47 | 32 | 47 | 14 | 25 | 13 | 46.2% | 10.8% | 89.0% | 99.8 | FUN | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 53 | 21 | 15 | 17 | 0 | 56 | 12 | 22 | 39 | 6 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 48 | 33 | 47 | 14 | 23 | 11 | 54.5% | 11.3% | 89.3% | 100.6 | FUN | |
25 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 0.250 | 9 | 17 | 26 | 0 | 0 | 6 | 1 | 2 | 0 | 129 | 41 | 46 | 42 | 0 | 123 | 48 | 44 | 72 | 14 | 1 | 7.14% | 16 | 6 | 62.50% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 99 | 69 | 90 | 28 | 50 | 25 | 47.1% | 7.0% | 87.8% | 94.8 | Unlucky | |
26 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 2 | 0.333 | 11 | 19 | 30 | 0 | 0 | 3 | 4 | 4 | 0 | 87 | 31 | 22 | 34 | 0 | 88 | 21 | 30 | 54 | 8 | 1 | 12.50% | 13 | 4 | 69.23% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 70 | 47 | 69 | 22 | 39 | 19 | 62.5% | 12.6% | 88.6% | 101.3 | FUN | |
27 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.500 | 8 | 14 | 22 | 0 | 0 | 1 | 3 | 4 | 0 | 102 | 26 | 34 | 38 | 7 | 85 | 24 | 25 | 55 | 12 | 1 | 8.33% | 9 | 1 | 88.89% | 1 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 80 | 57 | 67 | 21 | 36 | 19 | 53.8% | 7.8% | 91.8% | 99.6 | DULL | |
28 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 77 | 26 | 28 | 22 | 4 | 63 | 6 | 2 | 38 | 11 | 2 | 18.18% | 1 | 0 | 100.00% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 55 | 38 | 43 | 15 | 27 | 14 | 25.0% | 5.2% | 90.5% | 95.7 | Unlucky | |
29 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 3 | 0 | 0 | 64 | 17 | 21 | 26 | 0 | 65 | 21 | 20 | 31 | 5 | 2 | 40.00% | 10 | 1 | 90.00% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 53 | 38 | 42 | 13 | 23 | 12 | 60.0% | 7.8% | 95.4% | 103.2 | DULL | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 2 | 4 | 4 | 0 | 50 | 12 | 16 | 22 | 0 | 68 | 19 | 22 | 34 | 8 | 3 | 37.50% | 9 | 1 | 88.89% | 0 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 46 | 29 | 48 | 15 | 25 | 13 | 58.3% | 20.0% | 91.2% | 111.2 | LUCKY | |
_Vs Division | 20 | 8 | 10 | 0 | 0 | 0 | 2 | 0 | 57 | 66 | -9 | 20 | 0.500 | 57 | 104 | 161 | 0 | 0 | 28 | 12 | 15 | 2 | 639 | 235 | 196 | 200 | 15 | 633 | 182 | 207 | 394 | 73 | 10 | 13.70% | 84 | 18 | 78.57% | 4 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 493 | 341 | 459 | 148 | 256 | 130 | 49.5% | 8.9% | 89.6% | 98.5 | Unlucky | |
_Vs Conference | 38 | 12 | 22 | 0 | 0 | 0 | 3 | 1 | 98 | 124 | -26 | 31 | 0.408 | 98 | 170 | 268 | 1 | 0 | 40 | 24 | 31 | 3 | 1175 | 412 | 368 | 380 | 29 | 1177 | 353 | 361 | 705 | 140 | 17 | 12.14% | 151 | 33 | 78.15% | 5 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 928 | 637 | 882 | 284 | 489 | 246 | 47.1% | 8.3% | 89.5% | 97.8 | Unlucky | |
_Since Last GM Reset | 67 | 25 | 32 | 0 | 2 | 2 | 3 | 3 | 187 | 218 | -31 | 65 | 0.485 | 187 | 329 | 516 | 2 | 0 | 72 | 53 | 57 | 7 | 2089 | 697 | 680 | 688 | 47 | 2119 | 599 | 568 | 1245 | 256 | 40 | 15.63% | 247 | 53 | 78.54% | 7 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 1646 | 1130 | 1554 | 500 | 858 | 433 | 47.1% | 9.0% | 89.7% | 98.7 | FUN | |
Total | 67 | 25 | 32 | 0 | 2 | 2 | 3 | 3 | 187 | 218 | -31 | 65 | 0.485 | 187 | 329 | 516 | 2 | 0 | 72 | 53 | 57 | 7 | 2089 | 697 | 680 | 688 | 47 | 2119 | 599 | 568 | 1245 | 256 | 40 | 15.63% | 247 | 53 | 78.54% | 7 | 1341 | 2495 | 53.75% | 1303 | 2458 | 53.01% | 536 | 1031 | 51.99% | 1646 | 1130 | 1554 | 500 | 858 | 433 | 47.1% | 9.0% | 89.7% | 98.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2495 |
Neutral Zone Start | 1031 |
Defensive Zone Start | 2458 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3180 |
Faceoffs Lost | 2804 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 20.6 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 138 |
---|---|
PP Goal | 40 |
PK Goal | 7 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 17 | 13 |
Lost | 15 | 17 |
Overtime Lost | 1 | 4 |
PP Attempt | 256 |
---|---|
PP Goal | 40 |
PK Attempt | 247 |
PK Goal Against | 53 |
Home | |
---|---|
Shots For | 31.2 |
Shots Against | 31.6 |
Goals For | 2.8 |
Goals Against | 3.3 |
Hits | 18.6 |
Shots Blocked | 8.9 |
Pim | 8.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-10 | @ | Blue Jackets1,Wild3 | RECAP | |||||||||||
2024-10-12 | @ | Blue Jackets3,Avalanche1 | RECAP | |||||||||||
2024-10-15 | @ | Panthers2,Blue Jackets3 (SO) | RECAP | |||||||||||
2024-10-17 | @ | Sabres4,Blue Jackets1 | RECAP | |||||||||||
2024-10-19 | @ | Wild3,Blue Jackets5 | RECAP | |||||||||||
2024-10-22 | @ | Maple Leafs3,Blue Jackets0 | RECAP | |||||||||||
2024-10-26 | @ | Blue Jackets3,Predators5 | RECAP | |||||||||||
2024-10-28 | @ | Oilers3,Blue Jackets4 (OT) | RECAP | |||||||||||
2024-10-30 | @ | Islanders1,Blue Jackets5 | RECAP | |||||||||||
2024-11-01 | @ | Jets4,Blue Jackets2 | RECAP | |||||||||||
2024-11-02 | @ | Blue Jackets3,Capitals2 | RECAP | |||||||||||
2024-11-05 | @ | Blue Jackets2,Sharks3 (OT) | RECAP | |||||||||||
2024-11-09 | @ | Blue Jackets3,Kings4 (SO) | RECAP | |||||||||||
2024-11-10 | @ | Blue Jackets3,Ducks4 | RECAP | |||||||||||
2024-11-12 | @ | Blue Jackets5,Kraken3 | RECAP | |||||||||||
2024-11-15 | @ | Penguins3,Blue Jackets5 | RECAP | |||||||||||
2024-11-16 | @ | Blue Jackets1,Canadiens5 | RECAP | |||||||||||
2024-11-18 | @ | Blue Jackets0,Bruins1 | RECAP | |||||||||||
2024-11-21 | @ | Lightning2,Blue Jackets5 | RECAP | |||||||||||
2024-11-23 | @ | Hurricanes3,Blue Jackets4 (SO) | RECAP | |||||||||||
2024-11-27 | @ | Canadiens3,Blue Jackets1 | RECAP | |||||||||||
2024-11-29 | @ | Flames1,Blue Jackets2 | RECAP | |||||||||||
2024-12-01 | @ | Blue Jackets3,Blackhawks2 | RECAP | |||||||||||
2024-12-03 | @ | Blue Jackets4,Flames2 | RECAP | |||||||||||
2024-12-05 | @ | Blue Jackets2,Oilers4 | RECAP | |||||||||||
2024-12-06 | @ | Blue Jackets0,Canucks3 | RECAP | |||||||||||
2024-12-08 | @ | Blue Jackets6,Jets5 | RECAP | |||||||||||
2024-12-10 | @ | Flyers4,Blue Jackets1 | RECAP | |||||||||||
2024-12-12 | @ | Capitals1,Blue Jackets6 | RECAP | |||||||||||
2024-12-14 | @ | Ducks5,Blue Jackets2 | RECAP | |||||||||||
2024-12-15 | @ | Blue Jackets1,Hurricanes8 | RECAP | |||||||||||
2024-12-17 | @ | Blue Jackets1,Lightning2 (SO) | RECAP | |||||||||||
2024-12-19 | @ | Devils4,Blue Jackets3 | RECAP | |||||||||||
2024-12-21 | @ | Blue Jackets4,Flyers3 | RECAP | |||||||||||
2024-12-23 | @ | Canadiens2,Blue Jackets5 | RECAP | |||||||||||
2024-12-27 | @ | Bruins4,Blue Jackets1 | RECAP | |||||||||||
2024-12-28 | @ | Blue Jackets1,Bruins3 | RECAP | |||||||||||
2024-12-31 | @ | Hurricanes5,Blue Jackets3 | RECAP | |||||||||||
2025-01-02 | @ | Red Wings4,Blue Jackets3 | RECAP | |||||||||||
2025-01-04 | @ | Blues2,Blue Jackets3 | RECAP | |||||||||||
2025-01-07 | @ | Blue Jackets1,Penguins3 | RECAP | |||||||||||
2025-01-09 | @ | Kraken3,Blue Jackets5 | RECAP | |||||||||||
2025-01-11 | @ | Blue Jackets3,Blues4 (OT) | RECAP | |||||||||||
2025-01-14 | @ | Flyers6,Blue Jackets2 | RECAP | |||||||||||
2025-01-16 | @ | Sharks3,Blue Jackets2 (SO) | RECAP | |||||||||||
2025-01-18 | @ | Blue Jackets1,Rangers2 | RECAP | |||||||||||
2025-01-20 | @ | Blue Jackets3,Islanders2 | RECAP | |||||||||||
2025-01-22 | @ | Blue Jackets4,Maple Leafs3 | RECAP | |||||||||||
2025-01-23 | @ | Blue Jackets3,Hurricanes2 | RECAP | |||||||||||
2025-01-25 | @ | Kings2,Blue Jackets4 | RECAP | |||||||||||
2025-01-30 | @ | Blue Jackets3,Golden Knights2 | RECAP | |||||||||||
2025-01-31 | @ | Blue Jackets3,Hockey Club5 | RECAP | |||||||||||
2025-02-02 | @ | Blue Jackets4,Stars8 | RECAP | |||||||||||
2025-02-04 | @ | Blue Jackets3,Sabres4 | RECAP | |||||||||||
2025-02-06 | @ | Hockey Club3,Blue Jackets4 | RECAP | |||||||||||
2025-02-08 | @ | Rangers3,Blue Jackets4 | RECAP | |||||||||||
2025-02-22 | @ | Blackhawks4,Blue Jackets3 | RECAP | |||||||||||
2025-02-25 | @ | Stars2,Blue Jackets3 (OT) | RECAP | |||||||||||
2025-02-27 | @ | Blue Jackets7,Red Wings3 | RECAP | |||||||||||
2025-03-01 | @ | Red Wings3,Blue Jackets1 | RECAP | |||||||||||
2025-03-04 | @ | Blue Jackets2,Lightning3 | RECAP | |||||||||||
2025-03-06 | @ | Blue Jackets2,Panthers7 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | Blue Jackets2,Rangers3 | RECAP | |||||||||||
2025-03-11 | @ | Blue Jackets2,Devils1 (SO) | RECAP | |||||||||||
2025-03-13 | @ | Golden Knights1,Blue Jackets2 | RECAP | |||||||||||
2025-03-15 | @ | Rangers7,Blue Jackets2 | RECAP | |||||||||||
2025-03-17 | @ | Devils3,Blue Jackets2 | RECAP | |||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-21 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-28 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-04-01 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-06 | @ | |||||||||||||
2025-04-08 | @ | |||||||||||||
2025-04-10 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-13 | @ | |||||||||||||
2025-04-15 | @ | |||||||||||||
2025-04-17 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,445,000$ | 0$ | 78,664,346$ | 9,335,654$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Nationwide Arena | |
City | Columbus | ||
Capacity | 18144 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1144 |
Ticket Price | 105$ | 90$ | 75$ | 38$ | 180$ |
Attendance | 174857 | 146200 | 65352 | 114263 | 33325 |
Attendance PCT | 88.31% | 88.61% | 99.02% | 86.56% | 88.27% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
8 | 16182 - 89.19% | 1,771,208$ | 58,449,849$ | 18144 | 90 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,445,000$ | 78,670,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
69,405,270$ | 401,378$ | 66,221,628$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
14,169,660$ | 31 | 420,638$ | 13,039,778$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
13,563,458$ | 78,664,346$ | 86,198,012$ | 87,241,977$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aleksi Heimosalmi | 2021 | 48 | ELC 2022-23 (slide) | Link | |
Alex Gagne | 2021 | 179 | |||
Alexander Tracy | 2020 | 157 | |||
Artem Shlaine | 2020 | 148 | |||
Arvid Costmar | 2019 | 215 | |||
Brian Zanetti | 2021 | 115 | |||
Chase Clark | 2021 | 201 | |||
Daniil Karpovich | 2023 | 80 | |||
Dmitri Simashev | 2023 | 20 | |||
Dylan James | 2022 | 74 | |||
Eliot L'Italien | 2024 | 185 | |||
Hudson Malinoski | 2023 | 116 | |||
Isac Hedqvist | 2024 | 189 | |||
Ivan Vorobyov | 2021 | 220 | |||
Joshua Niedermayer | 2022 | 153 | |||
Julius Miettinen | 2024 | 29 | |||
Kristian Tanus | 2020 | 188 | |||
Liam Gorman | 2018 | 182 | |||
Logan Crosby | 2024 | 157 | |||
Luca Munzenberger | 2021 | 105 | |||
Michael Mastrodomenico | 2022 | 170 | |||
Miroslav Holinka | 2024 | 221 | |||
Raoul Boilard | 2024 | 61 | |||
Rasmus Larsson | 2023 | 148 | |||
Rastislav Elias | 2022 | 202 | |||
Roman Shokhrin | 2024 | 122 | |||
Ty Halaburda | 2023 | 180 | |||
Tyson Galloway | 2021 | 156 | |||
Vinzenz Rohrer | 2022 | 106 | |||
Vladimir Mikhalyov | 2024 | 125 | |||
Vladislav Yeryomenko | 2018 | 151 |
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