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Full Scoreboard »» |
![]() | Columbus Blue Jackets 25-14-6, 56pts · 5th in Eastern Conference |
Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C/RW | 99.00 | 57 | 45 | 82 | 79 | 75 | 78 | 79 | 82 | 45 | 79 | 74 | 64 | 64 | 72 | 67 | 0 | 71 | 30 | 7,270,000$/3yrs | |||||
![]() | C/LW/RW | 99.00 | 56 | 45 | 82 | 85 | 74 | 79 | 79 | 72 | 61 | 81 | 66 | 72 | 75 | 83 | 86 | 0 | 71 | 29 | 6,940,000$/3yrs | |||||
![]() | LW/RW | 99.00 | 64 | 45 | 84 | 76 | 73 | 75 | 78 | 80 | 45 | 71 | 71 | 70 | 65 | 80 | 83 | 0 | 70 | 31 | 6,540,000$/3yrs | |||||
![]() | LW/RW | 99.00 | 68 | 45 | 74 | 84 | 80 | 75 | 93 | 77 | 48 | 64 | 68 | 67 | 92 | 71 | 65 | 0 | 69 | 26 | 5,000,000$/2yrs | |||||
![]() | LW | 99.00 | 49 | 45 | 75 | 70 | 80 | 70 | 75 | 78 | 15 | 70 | 80 | 53 | 75 | 45 | 45 | 0 | 66 | 18 | 750,000$/1yrs | |||||
![]() | C/LW/RW | 99.00 | 58 | 48 | 63 | 79 | 73 | 64 | 83 | 66 | 57 | 71 | 68 | 62 | 53 | 74 | 69 | 0 | 66 | 27 | 3,250,000$/2yrs | |||||
![]() | C/RW | 99.00 | 50 | 45 | 86 | 76 | 79 | 70 | 72 | 73 | 46 | 64 | 62 | 63 | 53 | 81 | 73 | 0 | 65 | 32 | 2,550,000$/2yrs | |||||
![]() | C | 99.00 | 54 | 30 | 91 | 79 | 60 | 70 | 80 | 69 | 70 | 81 | 49 | 60 | 30 | 45 | 45 | 0 | 63 | 18 | 750,000$/1yrs | |||||
![]() | LW | 99.00 | 69 | 45 | 74 | 77 | 72 | 67 | 90 | 62 | 45 | 63 | 58 | 60 | 55 | 62 | 61 | 0 | 63 | 27 | 3,250,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 88 | 79 | 50 | 72 | 80 | 55 | 66 | 63 | 45 | 53 | 60 | 62 | 59 | 60 | 59 | 0 | 62 | 26 | 1,100,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 67 | 46 | 71 | 68 | 80 | 65 | 74 | 51 | 69 | 58 | 55 | 67 | 45 | 67 | 63 | 0 | 61 | 32 | 750,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 84 | 49 | 70 | 71 | 76 | 62 | 72 | 52 | 45 | 53 | 53 | 71 | 45 | 62 | 61 | 0 | 61 | 28 | 1,350,000$/1yrs | |||||
![]() | D | 99.00 | 61 | 45 | 85 | 93 | 76 | 88 | 85 | 93 | 45 | 79 | 76 | 78 | 62 | 65 | 69 | 0 | 76 | 24 | 7,500,000$/2yrs | |||||
![]() | D | 99.00 | 50 | 45 | 88 | 87 | 80 | 87 | 92 | 86 | 45 | 69 | 68 | 77 | 81 | 74 | 70 | 0 | 72 | 27 | 6,500,000$/1yrs | |||||
![]() | D | 99.00 | 80 | 48 | 73 | 72 | 89 | 74 | 87 | 74 | 45 | 51 | 52 | 74 | 45 | 75 | 70 | 0 | 67 | 27 | 5,000,000$/2yrs | |||||
![]() | D | 99.00 | 71 | 56 | 61 | 68 | 78 | 64 | 67 | 70 | 45 | 49 | 53 | 65 | 45 | 76 | 71 | 0 | 62 | 33 | 750,000$/1yrs | |||||
![]() | D | 100.00 | 68 | 68 | 68 | 69 | 80 | 71 | 66 | 50 | 45 | 47 | 50 | 77 | 49 | 56 | 54 | 0 | 62 | 27 | 1,100,000$/2yrs | |||||
![]() | D | 100.00 | 50 | 45 | 74 | 74 | 76 | 69 | 68 | 57 | 45 | 48 | 51 | 69 | 56 | 73 | 69 | 0 | 60 | 31 | 1,330,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 45 | 20 | 750,000$/1yrs | |||||
![]() | D | 100.00 | 50 | 45 | 63 | 70 | 74 | 52 | 50 | 48 | 45 | 47 | 47 | 55 | 45 | 61 | 60 | 0 | 54 | 28 | 750,000$/1yrs | |||||
TEAM AVERAGE | 99.35 | 62 | 48 | 73 | 75 | 75 | 69 | 75 | 67 | 48 | 62 | 60 | 66 | 57 | 66 | 64 | 0 | 64 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 87 | 93 | 81 | 91 | 90 | 92 | 92 | 88 | 88 | 85 | 76 | 73 | 74 | 0 | 87 | 29 | 8,750,000$/1yrs | |
![]() | 0 | 100.00 | 71 | 64 | 65 | 62 | 78 | 66 | 73 | 67 | 68 | 80 | 62 | 77 | 78 | 0 | 69 | 34 | 750,000$/1yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 79 | 79 | 73 | 77 | 84 | 79 | 83 | 78 | 78 | 83 | 69 | 75 | 76 | 0 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager |
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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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Cale Makar | ![]() | 0 | D | 45 | 8 | 34 | 42 | 1 | 21 | 15 | 61 | 209 | 85 | 85 | 3.83% | 72 | 23.13 | 4 | 8 | 12 | 0 | 0 | 0 | 79 | 2 | 3 | 0.00% | 0 | 42 | 40 | 0 | 0 | 0.81 | 0 | 1 |
2 | Ryan Nugent-Hopkins | ![]() | 0 | C/LW/RW | 45 | 16 | 18 | 34 | 2 | 11 | 5 | 67 | 132 | 43 | 64 | 12.12% | 20 | 17.34 | 5 | 5 | 10 | 0 | 0 | 0 | 4 | 1 | 1 | 44.76% | 811 | 21 | 16 | 0 | 0 | 0.87 | 2 | 3 |
3 | Max Domi | ![]() | 0 | C/LW/RW | 45 | 15 | 18 | 33 | 1 | 39 | 15 | 126 | 123 | 38 | 93 | 12.20% | 19 | 16.27 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 7 | 2 | 41.89% | 740 | 33 | 15 | 0 | 0 | 0.90 | 0 | 0 |
4 | Bryan Rust | ![]() | 0 | C/RW | 45 | 13 | 16 | 29 | 1 | 36 | 20 | 76 | 122 | 39 | 82 | 10.66% | 12 | 17.02 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 1 | 3 | 41.30% | 46 | 22 | 8 | 0 | 0 | 0.76 | 0 | 1 |
5 | Noah Ostlund | ![]() | 0 | C | 45 | 8 | 15 | 23 | 4 | 4 | 0 | 63 | 94 | 26 | 66 | 8.51% | 12 | 16.40 | 2 | 3 | 5 | 0 | 0 | 0 | 7 | 1 | 1 | 46.42% | 726 | 20 | 13 | 0 | 0 | 0.62 | 0 | 0 |
6 | Marcus Johansson | ![]() | 0 | C/RW | 45 | 11 | 12 | 23 | 2 | 7 | 5 | 46 | 125 | 28 | 93 | 8.80% | 17 | 15.96 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 3 | 1 | 42.62% | 61 | 18 | 22 | 0 | 0 | 0.64 | 0 | 0 |
7 | Reilly Smith | ![]() | 0 | LW/RW | 45 | 12 | 9 | 21 | 6 | 20 | 10 | 115 | 135 | 41 | 80 | 8.89% | 19 | 16.88 | 2 | 3 | 5 | 0 | 0 | 0 | 3 | 1 | 1 | 38.10% | 42 | 21 | 19 | 0 | 0 | 0.55 | 0 | 1 |
8 | Juraj Slafkovsky | ![]() | 0 | LW | 45 | 7 | 9 | 16 | 3 | 31 | 5 | 75 | 123 | 38 | 70 | 5.69% | 17 | 17.20 | 0 | 3 | 3 | 0 | 0 | 0 | 12 | 1 | 0 | 10.00% | 50 | 30 | 8 | 0 | 0 | 0.41 | 0 | 5 |
9 | Shea Theodore | ![]() | 0 | D | 45 | 3 | 12 | 15 | -13 | 73 | 45 | 39 | 106 | 44 | 39 | 2.83% | 60 | 21.94 | 1 | 3 | 4 | 0 | 0 | 0 | 74 | 1 | 0 | 0.00% | 0 | 26 | 29 | 0 | 0 | 0.30 | 5 | 7 |
10 | Dominik Kubalik | ![]() | 0 | LW | 45 | 7 | 7 | 14 | 1 | 46 | 30 | 112 | 56 | 22 | 27 | 12.50% | 21 | 15.11 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 3 | 40.00% | 60 | 9 | 13 | 0 | 0 | 0.41 | 0 | 0 |
11 | Adrian Kempe | ![]() | 0 | LW/RW | 45 | 4 | 7 | 11 | 2 | 43 | 15 | 121 | 76 | 31 | 54 | 5.26% | 19 | 16.56 | 0 | 1 | 1 | 0 | 0 | 0 | 72 | 0 | 0 | 31.43% | 35 | 20 | 8 | 0 | 0 | 0.30 | 3 | 7 |
12 | Brendan Lemieux | ![]() | 0 | LW/RW | 45 | 6 | 4 | 10 | 2 | 76 | 40 | 69 | 66 | 25 | 25 | 9.09% | 2 | 8.13 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 57.14% | 7 | 15 | 7 | 0 | 0 | 0.55 | 0 | 0 |
13 | Jacob Middleton | ![]() | 0 | D | 45 | 2 | 8 | 10 | -6 | 104 | 40 | 88 | 55 | 21 | 22 | 3.64% | 64 | 19.78 | 1 | 0 | 1 | 0 | 0 | 0 | 92 | 0 | 0 | 0.00% | 0 | 3 | 43 | 0 | 0 | 0.22 | 0 | 0 |
14 | Brendan Smith | ![]() | 0 | D | 45 | 1 | 8 | 9 | 17 | 119 | 75 | 103 | 38 | 24 | 23 | 2.63% | 48 | 17.39 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 1 | 0 | 0.00% | 0 | 4 | 34 | 1 | 0 | 0.23 | 0 | 0 |
15 | Trevor van Riemsdyk | ![]() | 0 | D | 45 | 0 | 8 | 8 | 18 | 25 | 15 | 24 | 21 | 15 | 16 | 0.00% | 37 | 16.73 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 4 | 31 | 0 | 0 | 0.21 | 0 | 0 |
16 | Nikita Zadorov | ![]() | 0 | D | 45 | 1 | 6 | 7 | 8 | 27 | 15 | 117 | 49 | 23 | 22 | 2.04% | 59 | 22.00 | 0 | 2 | 2 | 0 | 0 | 0 | 118 | 0 | 0 | 0.00% | 0 | 8 | 31 | 0 | 0 | 0.14 | 0 | 0 |
17 | Derek Grant | ![]() | 0 | C/LW/RW | 45 | 3 | 3 | 6 | 3 | 24 | 10 | 50 | 49 | 12 | 26 | 6.12% | 13 | 10.40 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0 | 1 | 47.83% | 322 | 6 | 9 | 0 | 0 | 0.26 | 0 | 0 |
18 | Zach Aston-Reese | ![]() | 0 | C/LW/RW | 44 | 3 | 2 | 5 | 7 | 11 | 5 | 54 | 44 | 4 | 15 | 6.82% | 8 | 10.14 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0 | 0 | 46.15% | 13 | 7 | 7 | 0 | 0 | 0.22 | 0 | 0 |
19 | Slater Koekkoek | ![]() | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 5.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 810 | 120 | 196 | 316 | 59 | 717 | 365 | 1406 | 1623 | 559 | 902 | 7.39% | 519 | 16.57 | 22 | 37 | 59 | 976 | 0 | 0 | 0 | 820 | 20 | 16 | 43.77% | 2913 | 309 | 353 | 1 | 0 | 0.47 | 10 | 25 |
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 Hellebuyck | ![]() | 41 | 22 | 13 | 5 | 0.926 | 2.46 | 2461 | 2 | 0 | 101 | 1367 | 592 | 4 | 3 | 0.773 | 22 | 41 | 4 | 9 | 3 | 2 |
2 | Jonathan Bernier | ![]() | 5 | 3 | 1 | 1 | 0.942 | 2.16 | 278 | 0 | 0 | 10 | 173 | 104 | 0 | 0 | 0.750 | 4 | 4 | 41 | 2 | 0 | 0 |
Team Total or Average | 46 | 25 | 14 | 6 | 0.928 | 2.43 | 2740 | 2 | 0 | 111 | 1540 | 696 | 4 | 3 | 0.769 | 26 | 45 | 45 | 11 | 3 | 2 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 7 | 13 | 0 | 0 | 2 | 2 | 2 | 0 | 31 | 4 | 16 | 11 | 0 | 35 | 9 | 28 | 30 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 18 | 8 | 23 | 9 | 17 | 8 | 66.7% | 19.4% | 91.4% | 110.8 | LUCKY |
2 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 3 | 1 | 71 | 20 | 24 | 21 | 6 | 70 | 25 | 30 | 62 | 1 | 1 | 100.00% | 5 | 1 | 80.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 44 | 26 | 43 | 17 | 34 | 16 | 44.4% | 7.0% | 91.4% | 98.5 | DULL |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 41 | 9 | 19 | 13 | 0 | 45 | 8 | 30 | 34 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 22 | 12 | 21 | 8 | 16 | 8 | 100.0% | 7.3% | 95.6% | 102.9 | DULL |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 5 | 9 | 1 | 0 | 0 | 2 | 2 | 0 | 79 | 22 | 26 | 31 | 0 | 83 | 30 | 25 | 55 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 40 | 22 | 44 | 18 | 34 | 17 | 50.0% | 5.1% | 94.0% | 99.0 | DULL |
5 | ![]() | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 10 | 16 | 1 | 0 | 1 | 4 | 1 | 0 | 108 | 25 | 51 | 32 | 0 | 109 | 37 | 49 | 81 | 11 | 1 | 9.09% | 12 | 2 | 83.33% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 62 | 33 | 65 | 27 | 51 | 27 | 35.7% | 5.6% | 89.9% | 95.5 | Unlucky |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 40 | 14 | 13 | 13 | 0 | 41 | 6 | 13 | 34 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 19 | 10 | 22 | 10 | 17 | 7 | 25.0% | 5.0% | 92.7% | 97.7 | DULL |
7 | ![]() | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 7 | 13 | 0 | 0 | 0 | 3 | 1 | 4 | 71 | 29 | 19 | 20 | 8 | 80 | 25 | 11 | 63 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 43 | 25 | 49 | 19 | 36 | 17 | 50.0% | 8.5% | 95.0% | 103.5 | DULL |
8 | ![]() | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 5 | 6 | -1 | 3 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 4 | 0 | 1 | 104 | 33 | 42 | 28 | 1 | 77 | 31 | 17 | 109 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 67 | 38 | 61 | 28 | 55 | 27 | 44.4% | 4.8% | 92.2% | 97.0 | DULL |
9 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 11 | 19 | 0 | 0 | 2 | 2 | 4 | 0 | 72 | 21 | 24 | 25 | 6 | 73 | 23 | 37 | 62 | 8 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 45 | 25 | 43 | 19 | 36 | 19 | 61.5% | 11.1% | 90.4% | 101.5 | FUN |
10 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 0 | 2 | 4 | 1 | 79 | 19 | 32 | 28 | 4 | 62 | 30 | 36 | 58 | 4 | 2 | 50.00% | 8 | 3 | 62.50% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 44 | 25 | 45 | 18 | 35 | 17 | 83.3% | 8.9% | 93.5% | 102.4 | Unlucky |
11 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 1 | 4 | 4 | 0 | 71 | 22 | 32 | 17 | 0 | 66 | 28 | 20 | 59 | 5 | 3 | 60.00% | 5 | 1 | 80.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 42 | 25 | 43 | 17 | 34 | 16 | 66.7% | 12.7% | 93.9% | 106.6 | LUCKY |
12 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 1 | 4 | 1 | 2 | 79 | 24 | 25 | 30 | 2 | 69 | 16 | 41 | 59 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 44 | 25 | 45 | 17 | 35 | 17 | 62.5% | 8.9% | 94.2% | 103.1 | Unlucky |
13 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 43 | 16 | 16 | 11 | 0 | 39 | 4 | 22 | 31 | 1 | 1 | 100.00% | 1 | 1 | 0.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 22 | 13 | 20 | 8 | 16 | 8 | 75.0% | 9.3% | 94.9% | 104.2 | LUCKY |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 0 | 2 | 3 | 0 | 39 | 16 | 13 | 10 | 0 | 40 | 25 | 30 | 30 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 21 | 12 | 21 | 9 | 16 | 8 | 57.1% | 12.8% | 90.0% | 102.8 | FUN |
15 | ![]() | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 8 | 9 | -1 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 2 | 2 | 3 | 3 | 105 | 37 | 38 | 27 | 13 | 111 | 31 | 67 | 92 | 6 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 70 | 41 | 62 | 27 | 56 | 28 | 57.1% | 7.6% | 91.9% | 99.5 | DULL |
16 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 69 | 24 | 23 | 18 | 4 | 64 | 20 | 45 | 67 | 7 | 2 | 28.57% | 10 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 41 | 22 | 43 | 20 | 38 | 17 | 33.3% | 5.8% | 93.8% | 99.5 | DULL |
17 | ![]() | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 4 | 10 | -6 | 1 | 0.167 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 113 | 44 | 35 | 34 | 0 | 87 | 35 | 37 | 101 | 8 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 65 | 36 | 61 | 27 | 53 | 25 | 33.3% | 3.5% | 88.5% | 92.0 | Unlucky |
18 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 2 | 1 | 0 | 0 | 36 | 12 | 11 | 13 | 0 | 25 | 10 | 14 | 29 | 3 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 23 | 14 | 19 | 8 | 16 | 8 | 50.0% | 8.3% | 80.0% | 88.3 | Unlucky |
19 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 75 | 20 | 24 | 31 | 0 | 61 | 22 | 25 | 55 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 46 | 27 | 39 | 17 | 33 | 17 | 50.0% | 4.0% | 95.1% | 99.1 | DULL |
20 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 39 | 14 | 17 | 8 | 0 | 25 | 14 | 9 | 43 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 23 | 13 | 17 | 9 | 18 | 9 | 66.7% | 10.3% | 92.0% | 102.3 | LUCKY |
21 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.333 | 8 | 13 | 21 | 0 | 0 | 2 | 3 | 3 | 0 | 98 | 39 | 30 | 29 | 0 | 109 | 41 | 48 | 101 | 9 | 1 | 11.11% | 9 | 2 | 77.78% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 60 | 34 | 67 | 27 | 52 | 25 | 50.0% | 8.2% | 91.7% | 99.9 | DULL |
22 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 1 | 3 | 2 | 0 | 70 | 22 | 33 | 15 | 0 | 73 | 18 | 43 | 54 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 39 | 22 | 44 | 19 | 35 | 18 | 71.4% | 8.6% | 95.9% | 104.5 | DULL |
23 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 22 | 9 | 3 | 10 | 0 | 21 | 8 | 22 | 29 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 22 | 11 | 17 | 8 | 20 | 11 | 50.0% | 9.1% | 95.2% | 104.3 | LUCKY |
24 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 34 | 14 | 10 | 10 | 0 | 44 | 16 | 11 | 28 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 19 | 10 | 23 | 9 | 16 | 7 | 75.0% | 8.8% | 97.7% | 106.6 | DULL |
25 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 34 | 14 | 6 | 14 | 0 | 34 | 7 | 9 | 40 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 23 | 13 | 19 | 8 | 17 | 9 | 42.9% | 8.8% | 88.2% | 97.1 | Unlucky |
_Vs Division | 16 | 4 | 7 | 0 | 1 | 2 | 2 | 0 | 34 | 39 | -5 | 16 | 0.500 | 34 | 52 | 86 | 1 | 0 | 3 | 20 | 8 | 5 | 584 | 189 | 220 | 171 | 9 | 526 | 172 | 204 | 494 | 42 | 7 | 16.67% | 42 | 8 | 80.95% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 346 | 198 | 343 | 148 | 283 | 143 | 46.6% | 5.8% | 92.6% | 98.4 | DULL | |
_Vs Conference | 31 | 10 | 10 | 0 | 2 | 4 | 3 | 2 | 80 | 80 | 0 | 36 | 0.581 | 80 | 128 | 208 | 1 | 0 | 12 | 37 | 26 | 9 | 1109 | 366 | 408 | 316 | 38 | 1044 | 354 | 460 | 980 | 82 | 14 | 17.07% | 85 | 17 | 80.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 674 | 386 | 666 | 287 | 554 | 278 | 51.2% | 7.2% | 92.3% | 99.6 | DULL | |
_Since Last GM Reset | 45 | 18 | 14 | 0 | 2 | 4 | 5 | 2 | 125 | 116 | 9 | 56 | 0.622 | 125 | 196 | 321 | 3 | 0 | 19 | 56 | 43 | 12 | 1623 | 523 | 582 | 499 | 44 | 1543 | 519 | 719 | 1406 | 119 | 22 | 18.49% | 132 | 27 | 79.55% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 975 | 556 | 971 | 415 | 798 | 401 | 53.6% | 7.7% | 92.5% | 100.2 | DULL | |
Total | 45 | 18 | 14 | 0 | 2 | 4 | 5 | 2 | 125 | 116 | 9 | 56 | 0.622 | 125 | 196 | 321 | 3 | 0 | 19 | 56 | 43 | 12 | 1623 | 523 | 582 | 499 | 44 | 1543 | 519 | 719 | 1406 | 119 | 22 | 18.49% | 132 | 27 | 79.55% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 975 | 556 | 971 | 415 | 798 | 401 | 53.6% | 7.7% | 92.5% | 100.2 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1134 |
Neutral Zone Start | 608 |
Defensive Zone Start | 1134 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1275 |
Faceoffs Lost | 1601 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.6 | 9.57 |
2nd Period | 24.6 | 20.31 |
3rd Period | 35.6 | 30.68 |
Overtime | 36.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 100 |
---|---|
PP Goal | 22 |
PK Goal | 0 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 10 | 15 |
Lost | 5 | 9 |
Overtime Lost | 4 | 2 |
PP Attempt | 119 |
---|---|
PP Goal | 22 |
PK Attempt | 132 |
PK Goal Against | 27 |
Home | |
---|---|
Shots For | 36.1 |
Shots Against | 34.3 |
Goals For | 2.8 |
Goals Against | 2.6 |
Hits | 31.2 |
Shots Blocked | 11.5 |
Pim | 16.0 |
![]() | |
Projected Total Cap Hit | $0 |
Projected Cap Space | $79,500,000 |
Retains And Buyout Cap Hit | $0 |
Salary Cap To Date | $0 |
Players In Salary Cap | Array0 |
Contracts | 48/50 |
LTIR Players | 0 |
Blue Jackets Roster | Pos | Age | Cap Hit | 12-13 | 13-14 | 14-15 | 15-16 |
---|---|---|---|---|---|---|---|
Adrian Kempe | LW/RW | 26 | $5,000,000 | $5,000,000 | $5,000,000 | ||
Brendan Lemieux | LW/RW | 26 | $1,100,000 | $1,100,000 | |||
Brendan Smith | D | 33 | $750,000 | $750,000 | |||
Bryan Rust | C/RW | 30 | $7,270,000 | $7,270,000 | $7,270,000 | $7,270,000 | |
Cale Makar | D | 24 | $7,500,000 | $7,500,000 | $7,500,000 | ||
Connor Hellebuyck | G | 29 | $8,750,000 | $8,750,000 | |||
Derek Grant | C/LW/RW | 32 | $750,000 | $750,000 | |||
Dominik Kubalik | LW | 27 | $3,250,000 | $3,250,000 | |||
Jacob Middleton | D | 27 | $1,100,000 | $1,100,000 | $1,100,000 | ||
Jonathan Bernier | G | 34 | $750,000 | $750,000 | |||
Juraj Slafkovsky | LW | 18 | $750,000 | $750,000 | |||
Marcus Johansson | C/RW | 32 | $2,550,000 | $2,550,000 | $2,550,000 | ||
Max Domi | C/LW/RW | 27 | $3,250,000 | $3,250,000 | $3,250,000 | ||
Nikita Zadorov | D | 27 | $5,000,000 | $5,000,000 | $5,000,000 | ||
Noah Ostlund | C | 18 | $750,000 | $750,000 | |||
Reilly Smith | LW/RW | 31 | $6,540,000 | $6,540,000 | $6,540,000 | $6,540,000 | |
Ryan Nugent-Hopkins | C/LW/RW | 29 | $6,940,000 | $6,940,000 | $6,940,000 | $6,940,000 | |
Ryder Korczak | C | 20 | $750,000 | $750,000 | |||
Shea Theodore | D | 27 | $6,500,000 | $6,500,000 | |||
Slater Koekkoek | D | 28 | $750,000 | $750,000 | |||
Trevor van Riemsdyk | D | 31 | $1,330,000 | $1,330,000 | $1,330,000 | ||
Zach Aston-Reese | C/LW/RW | 28 | $1,350,000 | $1,350,000 |
Non-Roster | Pos | Age | Cap Hit | 12-13 | 13-14 | 14-15 | 15-16 |
---|---|---|---|---|---|---|---|
Bobby Brink | RW | 21 | $750,000 | $750,000 | |||
Carl Lindbom | G | 25 | $750,000 | $750,000 | |||
Carson Latimer | RW | 20 | $750,000 | $750,000 | $750,000 | ||
Filip Roos | D | 24 | $750,000 | $750,000 | |||
Gage Goncalves | C | 22 | $750,000 | $750,000 | |||
Garrett Brown | C | 18 | $750,000 | $750,000 | |||
Isak Rosen | LW | 19 | $750,000 | $750,000 | $750,000 | ||
Jachym Kondelik | C | 23 | $750,000 | $750,000 | $750,000 | ||
Jack Peart | D | 19 | $750,000 | $750,000 | $750,000 | ||
Janis Moser | D | 22 | $1,100,000 | $1,100,000 | $1,100,000 | ||
Joe Snively | LW/RW | 27 | $750,000 | $750,000 | |||
Kalle Vaisanen | LW | 20 | $750,000 | $750,000 | $750,000 | ||
Kasper Simontaival | RW | 21 | $750,000 | $750,000 | |||
Kent Johnson | C | 20 | $1,100,000 | $1,100,000 | $1,100,000 | $1,100,000 | |
Luca Munzenberger | D | 20 | $750,000 | $750,000 | $750,000 | ||
Mavrik Bourque | C | 21 | $750,000 | $750,000 | |||
Niklas Kokko | G | 18 | $750,000 | $750,000 | |||
Oliver Kylington | D | 25 | $1,100,000 | $1,100,000 | $1,100,000 | ||
Riley Kidney | C | 19 | $750,000 | $750,000 | $750,000 | ||
Rory Kerins | C | 20 | $750,000 | $750,000 | |||
Ryan Healey | C | 18 | $750,000 | $750,000 | |||
Ryan O'Rourke | D | 20 | $750,000 | $750,000 | |||
Tomas Suchanek | G | 19 | $750,000 | $750,000 | |||
William Stromgren | LW | 19 | $750,000 | $750,000 | |||
Yegor Zamula | D | 22 | $750,000 | $750,000 | $750,000 | ||
Zachary L'Heureux | LW | 19 | $750,000 | $750,000 | $750,000 |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Adrian Kempe | Ryan Nugent-Hopkins | Bryan Rust | |||||
Juraj Slafkovsky | Noah Ostlund | Reilly Smith | |||||
Dominik Kubalik | Max Domi | Marcus Johansson | |||||
Brendan Lemieux | Derek Grant | Zach Aston-Reese |
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
Cale Makar | Nikita Zadorov | ||||||
Shea Theodore | Jacob Middleton | ||||||
Brendan Smith | Trevor van Riemsdyk |
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Reilly Smith | Ryan Nugent-Hopkins | Bryan Rust | |||||
Cale Makar | Shea Theodore |
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
Juraj Slafkovsky | Noah Ostlund | Max Domi | |||||
Nikita Zadorov | Brendan Smith |
Goalies | |||||||
---|---|---|---|---|---|---|---|
Connor Hellebuyck | Jonathan Bernier |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 7 | 13 | 0 | 0 | 2 | 2 | 2 | 0 | 31 | 4 | 16 | 11 | 0 | 35 | 9 | 28 | 30 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 18 | 8 | 23 | 9 | 17 | 8 | 66.7% | 19.4% | 91.4% | 110.8 | LUCKY |
2 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 3 | 1 | 71 | 20 | 24 | 21 | 6 | 70 | 25 | 30 | 62 | 1 | 1 | 100.00% | 5 | 1 | 80.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 44 | 26 | 43 | 17 | 34 | 16 | 44.4% | 7.0% | 91.4% | 98.5 | DULL |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 41 | 9 | 19 | 13 | 0 | 45 | 8 | 30 | 34 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 22 | 12 | 21 | 8 | 16 | 8 | 100.0% | 7.3% | 95.6% | 102.9 | DULL |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 5 | 9 | 1 | 0 | 0 | 2 | 2 | 0 | 79 | 22 | 26 | 31 | 0 | 83 | 30 | 25 | 55 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 40 | 22 | 44 | 18 | 34 | 17 | 50.0% | 5.1% | 94.0% | 99.0 | DULL |
5 | ![]() | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 10 | 16 | 1 | 0 | 1 | 4 | 1 | 0 | 108 | 25 | 51 | 32 | 0 | 109 | 37 | 49 | 81 | 11 | 1 | 9.09% | 12 | 2 | 83.33% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 62 | 33 | 65 | 27 | 51 | 27 | 35.7% | 5.6% | 89.9% | 95.5 | Unlucky |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 40 | 14 | 13 | 13 | 0 | 41 | 6 | 13 | 34 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 19 | 10 | 22 | 10 | 17 | 7 | 25.0% | 5.0% | 92.7% | 97.7 | DULL |
7 | ![]() | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 7 | 13 | 0 | 0 | 0 | 3 | 1 | 4 | 71 | 29 | 19 | 20 | 8 | 80 | 25 | 11 | 63 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 43 | 25 | 49 | 19 | 36 | 17 | 50.0% | 8.5% | 95.0% | 103.5 | DULL |
8 | ![]() | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 5 | 6 | -1 | 3 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 4 | 0 | 1 | 104 | 33 | 42 | 28 | 1 | 77 | 31 | 17 | 109 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 67 | 38 | 61 | 28 | 55 | 27 | 44.4% | 4.8% | 92.2% | 97.0 | DULL |
9 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 11 | 19 | 0 | 0 | 2 | 2 | 4 | 0 | 72 | 21 | 24 | 25 | 6 | 73 | 23 | 37 | 62 | 8 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 45 | 25 | 43 | 19 | 36 | 19 | 61.5% | 11.1% | 90.4% | 101.5 | FUN |
10 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 0 | 2 | 4 | 1 | 79 | 19 | 32 | 28 | 4 | 62 | 30 | 36 | 58 | 4 | 2 | 50.00% | 8 | 3 | 62.50% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 44 | 25 | 45 | 18 | 35 | 17 | 83.3% | 8.9% | 93.5% | 102.4 | Unlucky |
11 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 1 | 4 | 4 | 0 | 71 | 22 | 32 | 17 | 0 | 66 | 28 | 20 | 59 | 5 | 3 | 60.00% | 5 | 1 | 80.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 42 | 25 | 43 | 17 | 34 | 16 | 66.7% | 12.7% | 93.9% | 106.6 | LUCKY |
12 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 1 | 4 | 1 | 2 | 79 | 24 | 25 | 30 | 2 | 69 | 16 | 41 | 59 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 44 | 25 | 45 | 17 | 35 | 17 | 62.5% | 8.9% | 94.2% | 103.1 | Unlucky |
13 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 43 | 16 | 16 | 11 | 0 | 39 | 4 | 22 | 31 | 1 | 1 | 100.00% | 1 | 1 | 0.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 22 | 13 | 20 | 8 | 16 | 8 | 75.0% | 9.3% | 94.9% | 104.2 | LUCKY |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 0 | 2 | 3 | 0 | 39 | 16 | 13 | 10 | 0 | 40 | 25 | 30 | 30 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 21 | 12 | 21 | 9 | 16 | 8 | 57.1% | 12.8% | 90.0% | 102.8 | FUN |
15 | ![]() | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 8 | 9 | -1 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 2 | 2 | 3 | 3 | 105 | 37 | 38 | 27 | 13 | 111 | 31 | 67 | 92 | 6 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 70 | 41 | 62 | 27 | 56 | 28 | 57.1% | 7.6% | 91.9% | 99.5 | DULL |
16 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 69 | 24 | 23 | 18 | 4 | 64 | 20 | 45 | 67 | 7 | 2 | 28.57% | 10 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 41 | 22 | 43 | 20 | 38 | 17 | 33.3% | 5.8% | 93.8% | 99.5 | DULL |
17 | ![]() | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 4 | 10 | -6 | 1 | 0.167 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 113 | 44 | 35 | 34 | 0 | 87 | 35 | 37 | 101 | 8 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 65 | 36 | 61 | 27 | 53 | 25 | 33.3% | 3.5% | 88.5% | 92.0 | Unlucky |
18 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 2 | 1 | 0 | 0 | 36 | 12 | 11 | 13 | 0 | 25 | 10 | 14 | 29 | 3 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 23 | 14 | 19 | 8 | 16 | 8 | 50.0% | 8.3% | 80.0% | 88.3 | Unlucky |
19 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 75 | 20 | 24 | 31 | 0 | 61 | 22 | 25 | 55 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 46 | 27 | 39 | 17 | 33 | 17 | 50.0% | 4.0% | 95.1% | 99.1 | DULL |
20 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 39 | 14 | 17 | 8 | 0 | 25 | 14 | 9 | 43 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 23 | 13 | 17 | 9 | 18 | 9 | 66.7% | 10.3% | 92.0% | 102.3 | LUCKY |
21 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.333 | 8 | 13 | 21 | 0 | 0 | 2 | 3 | 3 | 0 | 98 | 39 | 30 | 29 | 0 | 109 | 41 | 48 | 101 | 9 | 1 | 11.11% | 9 | 2 | 77.78% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 60 | 34 | 67 | 27 | 52 | 25 | 50.0% | 8.2% | 91.7% | 99.9 | DULL |
22 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 1 | 3 | 2 | 0 | 70 | 22 | 33 | 15 | 0 | 73 | 18 | 43 | 54 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 39 | 22 | 44 | 19 | 35 | 18 | 71.4% | 8.6% | 95.9% | 104.5 | DULL |
23 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 22 | 9 | 3 | 10 | 0 | 21 | 8 | 22 | 29 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 22 | 11 | 17 | 8 | 20 | 11 | 50.0% | 9.1% | 95.2% | 104.3 | LUCKY |
24 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 34 | 14 | 10 | 10 | 0 | 44 | 16 | 11 | 28 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 19 | 10 | 23 | 9 | 16 | 7 | 75.0% | 8.8% | 97.7% | 106.6 | DULL |
25 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 34 | 14 | 6 | 14 | 0 | 34 | 7 | 9 | 40 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 23 | 13 | 19 | 8 | 17 | 9 | 42.9% | 8.8% | 88.2% | 97.1 | Unlucky |
_Vs Division | 16 | 4 | 7 | 0 | 1 | 2 | 2 | 0 | 34 | 39 | -5 | 16 | 0.500 | 34 | 52 | 86 | 1 | 0 | 3 | 20 | 8 | 5 | 584 | 189 | 220 | 171 | 9 | 526 | 172 | 204 | 494 | 42 | 7 | 16.67% | 42 | 8 | 80.95% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 346 | 198 | 343 | 148 | 283 | 143 | 46.6% | 5.8% | 92.6% | 98.4 | DULL | |
_Vs Conference | 31 | 10 | 10 | 0 | 2 | 4 | 3 | 2 | 80 | 80 | 0 | 36 | 0.581 | 80 | 128 | 208 | 1 | 0 | 12 | 37 | 26 | 9 | 1109 | 366 | 408 | 316 | 38 | 1044 | 354 | 460 | 980 | 82 | 14 | 17.07% | 85 | 17 | 80.00% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 674 | 386 | 666 | 287 | 554 | 278 | 51.2% | 7.2% | 92.3% | 99.6 | DULL | |
_Since Last GM Reset | 45 | 18 | 14 | 0 | 2 | 4 | 5 | 2 | 125 | 116 | 9 | 56 | 0.622 | 125 | 196 | 321 | 3 | 0 | 19 | 56 | 43 | 12 | 1623 | 523 | 582 | 499 | 44 | 1543 | 519 | 719 | 1406 | 119 | 22 | 18.49% | 132 | 27 | 79.55% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 975 | 556 | 971 | 415 | 798 | 401 | 53.6% | 7.7% | 92.5% | 100.2 | DULL | |
Total | 45 | 18 | 14 | 0 | 2 | 4 | 5 | 2 | 125 | 116 | 9 | 56 | 0.622 | 125 | 196 | 321 | 3 | 0 | 19 | 56 | 43 | 12 | 1623 | 523 | 582 | 499 | 44 | 1543 | 519 | 719 | 1406 | 119 | 22 | 18.49% | 132 | 27 | 79.55% | 0 | 507 | 1134 | 44.71% | 509 | 1134 | 44.89% | 259 | 608 | 42.60% | 975 | 556 | 971 | 415 | 798 | 401 | 53.6% | 7.7% | 92.5% | 100.2 | DULL |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1134 |
Neutral Zone Start | 608 |
Defensive Zone Start | 1134 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1275 |
Faceoffs Lost | 1601 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.6 | 9.57 |
2nd Period | 24.6 | 20.31 |
3rd Period | 35.6 | 30.68 |
Overtime | 36.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 100 |
---|---|
PP Goal | 22 |
PK Goal | 0 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 10 | 15 |
Lost | 5 | 9 |
Overtime Lost | 4 | 2 |
PP Attempt | 119 |
---|---|
PP Goal | 22 |
PK Attempt | 132 |
PK Goal Against | 27 |
Home | |
---|---|
Shots For | 36.1 |
Shots Against | 34.3 |
Goals For | 2.8 |
Goals Against | 2.6 |
Hits | 31.2 |
Shots Blocked | 11.5 |
Pim | 16.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Wed, Mar 2 | ![]() | @ | ![]() | CAR2,CBJ1 (OT) | RECAP |
Fri, Mar 4 | ![]() | @ | ![]() | CBJ2,TBL1 (SO) | RECAP |
Sat, Mar 5 | ![]() | @ | ![]() | STL3,CBJ2 | RECAP |
Tue, Mar 8 | ![]() | @ | ![]() | CBJ3,VAN2 | RECAP |
Thu, Mar 10 | ![]() | @ | ![]() | CBJ3,NAS2 | RECAP |
Sat, Mar 12 | ![]() | @ | ![]() | CBJ3,PIT2 (SO) | RECAP |
Sun, Mar 13 | ![]() | @ | ![]() | NYR1,CBJ2 | RECAP |
Tue, Mar 15 | ![]() | @ | ![]() | CBJ2,ARI1 | RECAP |
Fri, Mar 18 | ![]() | @ | ![]() | CBJ3,BOS2 | RECAP |
Sun, Mar 20 | ![]() | @ | ![]() | NJD2,CBJ4 | RECAP |
Fri, Mar 25 | ![]() | @ | ![]() | COL3,CBJ4 (SO) | RECAP |
Sat, Mar 26 | ![]() | @ | ![]() | CBJ3,COL1 | RECAP |
Thu, Mar 31 | ![]() | @ | ![]() | CBJ3,PHI5 | RECAP |
Sat, Apr 2 | ![]() | @ | ![]() | NYI4,CBJ1 | RECAP |
Tue, Apr 5 | ![]() | @ | ![]() | CBJ1,PHI3 | RECAP |
Thu, Apr 7 | ![]() | @ | ![]() | CBJ2,MTL3 (OT) | RECAP |
Sat, Apr 9 | ![]() | @ | ![]() | CBJ3,DET1 | RECAP |
Sun, Apr 10 | ![]() | @ | ![]() | CBJ5,FLA6 (SO) | RECAP |
Wed, Apr 13 | ![]() | @ | ![]() | CBJ2,MTL1 | RECAP |
Fri, Apr 15 | ![]() | @ | ![]() | CBJ2,NYI4 | RECAP |
Sat, Apr 16 | ![]() | @ | ![]() | NAS3,CBJ1 | RECAP |
Mon, Apr 18 | ![]() | @ | ![]() | CBJ3,VGK4 | RECAP |
Fri, Apr 22 | ![]() | @ | ![]() | WPG1,CBJ3 | RECAP |
Sun, Apr 24 | ![]() | @ | ![]() | CBJ2,DET3 | RECAP |
Tue, Apr 26 | ![]() | @ | ![]() | PIT2,CBJ3 (SO) | RECAP |
Wed, Apr 27 | ![]() | @ | ![]() | CBJ3,BUF5 | RECAP |
Fri, Apr 29 | ![]() | @ | ![]() | CBJ6,CGY3 | RECAP |
Sun, May 1 | ![]() | @ | ![]() | CBJ3,LAK5 | RECAP |
Tue, May 3 | ![]() | @ | ![]() | FLA1,CBJ3 | RECAP |
Thu, May 5 | ![]() | @ | ![]() | TBL3,CBJ2 (SO) | RECAP |
Sat, May 7 | ![]() | @ | ![]() | BOS2,CBJ6 | RECAP |
Mon, May 9 | ![]() | @ | ![]() | CBJ5,DAL4 | RECAP |
Tue, May 10 | ![]() | @ | ![]() | PHI3,CBJ2 | RECAP |
Fri, May 13 | ![]() | @ | ![]() | CHI2,CBJ3 (SO) | RECAP |
Tue, May 17 | ![]() | @ | ![]() | CBJ2,BUF1 (OT) | RECAP |
Thu, May 19 | ![]() | @ | ![]() | NYI2,CBJ1 (OT) | RECAP |
Sat, May 21 | ![]() | @ | ![]() | CBJ4,CHI2 | RECAP |
Tue, May 24 | ![]() | @ | ![]() | OTT2,CBJ4 | RECAP |
Thu, May 26 | ![]() | @ | ![]() | CBJ1,WAS2 | RECAP |
Sat, May 28 | ![]() | @ | ![]() | CBJ2,CAR3 | RECAP |
Sun, May 29 | ![]() | @ | ![]() | WAS1,CBJ2 | RECAP |
Tue, May 31 | ![]() | @ | ![]() | TBL5,CBJ4 (OT) | RECAP |
Thu, Jun 2 | ![]() | @ | ![]() | CBJ2,CAR1 (OT) | RECAP |
Sat, Jun 4 | ![]() | @ | ![]() | DET5,CBJ3 | RECAP |
Mon, Jun 6 | ![]() | @ | ![]() | CBJ4,NYR2 | RECAP |
Thu, Jun 9 | ![]() | @ | ![]() | ||
Sat, Jun 11 | ![]() | @ | ![]() | ||
Mon, Jun 13 | ![]() | @ | ![]() | ||
Wed, Jun 15 | ![]() | @ | ![]() | ||
Fri, Jun 17 | ![]() | @ | ![]() | ||
Sat, Jun 18 | ![]() | @ | ![]() | ||
Tue, Jun 21 | ![]() | @ | ![]() | ||
Mon, Jun 27 | ![]() | @ | ![]() | ||
Tue, Jun 28 | ![]() | @ | ![]() | ||
Fri, Jul 1 | ![]() | @ | ![]() | ||
Sun, Jul 3 | ![]() | @ | ![]() | ||
Tue, Jul 5 | ![]() | @ | ![]() | ||
Wed, Jul 6 | ![]() | @ | ![]() | ||
Sun, Jul 10 | ![]() | @ | ![]() | ||
Tue, Jul 12 | ![]() | @ | ![]() | ||
Wed, Jul 13 | ![]() | @ | ![]() | ||
Fri, Jul 15 | ![]() | @ | ![]() | ||
Mon, Jul 18 | ![]() | @ | ![]() | ||
Tue, Jul 19 | ![]() | @ | ![]() | ||
Fri, Jul 22 | ![]() | @ | ![]() | ||
Tue, Jul 26 | ![]() | @ | ![]() | ||
Fri, Jul 29 | ![]() | @ | ![]() | ||
Sun, Jul 31 | ![]() | @ | ![]() | ||
Mon, Aug 1 | ![]() | @ | ![]() | ||
Wed, Aug 3 | ![]() | @ | ![]() | ||
Fri, Aug 5 | ![]() | @ | ![]() | ||
Mon, Aug 8 | ![]() | @ | ![]() | ||
Tue, Aug 9 | ![]() | @ | ![]() | ||
Fri, Aug 12 | ![]() | @ | ![]() | ||
Sun, Aug 14 | ![]() | @ | ![]() | ||
Tue, Aug 16 | ![]() | @ | ![]() | ||
Wed, Aug 17 | ![]() | @ | ![]() | ||
Fri, Aug 19 | ![]() | @ | ![]() | ||
Sun, Aug 21 | ![]() | @ | ![]() | ||
Tue, Aug 23 | ![]() | @ | ![]() | ||
Fri, Aug 26 | ![]() | @ | ![]() | ||
Sun, Aug 28 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
$72,680,000 | $0 | $0 | $79,500,000 |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Nationwide Arena | |
City | Columbus | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | $100 | $60 | $35 | $25 | $200 |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
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![]() |
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
22 | 0 - 0.00% | $0 | $0 | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
$72,680,000 | $72,680,000 | $0 | $0 |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
$0 | $0 | $0 | $0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
$0 | 82 | $397,158 | $32,566,956 |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
$32,566,956 | $0 | $70,000,000 | $37,433,044 |
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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3 | ![]() | ![]() | ![]() | ![]() |
4 | ![]() | ![]() | ![]() | ![]() |
5 | ![]() | ![]() | ![]() | ![]() |
6 | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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3 | ![]() | ![]() | ![]() | ![]() |
4 | ![]() | ![]() | ![]() | ![]() |
5 | ![]() | ![]() | ![]() | ![]() |
6 | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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