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Full Scoreboard »» |
![]() | Chicago Blackhawks 21-18-2, 44pts · 10th in Western 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 | 100.00 | 64 | 35 | 78 | 90 | 74 | 91 | 86 | 89 | 82 | 93 | 84 | 64 | 88 | 73 | 77 | 81 | 79 | 27 | 8,500,000$/4yrs | |||||
![]() | RW | 100.00 | 63 | 34 | 82 | 84 | 69 | 90 | 76 | 89 | 55 | 92 | 86 | 63 | 90 | 74 | 77 | 56 | 78 | 29 | 9,500,000$/2yrs | |||||
![]() | C | 100.00 | 68 | 37 | 92 | 83 | 85 | 90 | 73 | 82 | 84 | 81 | 76 | 63 | 82 | 69 | 77 | 86 | 75 | 26 | 7,500,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 62 | 38 | 86 | 78 | 89 | 88 | 83 | 73 | 68 | 74 | 77 | 79 | 76 | 68 | 70 | 79 | 74 | 26 | 4,000,000$/3yrs | |||||
![]() | C/RW | 100.00 | 64 | 56 | 73 | 76 | 79 | 87 | 91 | 75 | 78 | 74 | 76 | 75 | 72 | 71 | 73 | 65 | 73 | 28 | 3,000,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 77 | 35 | 88 | 72 | 76 | 86 | 89 | 75 | 78 | 74 | 73 | 72 | 76 | 69 | 70 | 66 | 72 | 27 | 4,000,000$/3yrs | |||||
![]() | LW/RW | 100.00 | 73 | 34 | 92 | 73 | 69 | 84 | 87 | 68 | 63 | 67 | 71 | 82 | 68 | 70 | 69 | 62 | 71 | 27 | 2,000,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 90 | 83 | 63 | 67 | 82 | 86 | 84 | 68 | 59 | 67 | 73 | 82 | 59 | 64 | 68 | 42 | 71 | 25 | 1,300,000$/3yrs | |||||
![]() | C/RW | 100.00 | 64 | 34 | 86 | 75 | 69 | 86 | 89 | 73 | 78 | 72 | 71 | 63 | 74 | 72 | 73 | 36 | 70 | 29 | 1,250,000$/1yrs | |||||
![]() | C | 100.00 | 73 | 39 | 93 | 72 | 86 | 84 | 89 | 71 | 78 | 70 | 69 | 64 | 72 | 63 | 65 | 84 | 69 | 23 | 350,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 73 | 39 | 81 | 66 | 83 | 87 | 74 | 67 | 59 | 65 | 68 | 63 | 64 | 73 | 71 | 72 | 67 | 30 | 975,000$/4yrs | |||||
![]() | C/LW | 100.00 | 61 | 36 | 92 | 69 | 70 | 82 | 89 | 67 | 65 | 66 | 63 | 64 | 69 | 61 | 62 | 85 | 66 | 20 | 975,000$/3yrs | |||||
![]() | D | 100.00 | 76 | 39 | 91 | 77 | 89 | 94 | 92 | 75 | 30 | 82 | 64 | 87 | 59 | 75 | 78 | 74 | 78 | 28 | 6,500,000$/3yrs | |||||
![]() | D | 100.00 | 70 | 38 | 90 | 65 | 88 | 92 | 85 | 63 | 30 | 73 | 62 | 90 | 53 | 74 | 71 | 55 | 75 | 31 | 4,800,000$/3yrs | |||||
![]() | D | 100.00 | 56 | 34 | 84 | 66 | 85 | 93 | 89 | 64 | 30 | 78 | 65 | 89 | 52 | 71 | 70 | 56 | 74 | 28 | 4,500,000$/3yrs | |||||
![]() | D | 100.00 | 89 | 75 | 72 | 63 | 90 | 89 | 92 | 59 | 30 | 75 | 57 | 78 | 52 | 80 | 73 | 27 | 73 | 32 | 4,200,000$/1yrs | |||||
![]() | D | 100.00 | 59 | 35 | 91 | 72 | 86 | 91 | 90 | 71 | 30 | 79 | 68 | 74 | 56 | 69 | 71 | 85 | 72 | 26 | 4,500,000$/3yrs | |||||
![]() | D | 100.00 | 64 | 37 | 86 | 72 | 71 | 90 | 87 | 70 | 30 | 76 | 58 | 73 | 52 | 64 | 65 | 81 | 70 | 24 | 2,750,000$/4yrs | |||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 69 | 42 | 84 | 73 | 80 | 88 | 86 | 72 | 57 | 75 | 70 | 74 | 67 | 70 | 71 | 66 | 73 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 94 | 89 | 85 | 94 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 83 | 87 | 52 | 82 | 33 | 6,800,000$/2yrs | |
![]() | 0 | 100.00 | 82 | 80 | 83 | 72 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 72 | 86 | 47 | 72 | 32 | 2,000,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 88 | 85 | 84 | 83 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 78 | 87 | 50 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Babcock | 70 | 75 | 84 | 81 | 86 | 80 | 61 | CAN | 58 | 4 | 1,350,000$ |
General Manager | Daniel Cadieux |
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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% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nikita Kucherov | ![]() | 0 | RW | 41 | 22 | 21 | 43 | 3 | 14 | 0 | 41 | 165 | 63 | 103 | 13.33% | 15 | 20.46 | 5 | 7 | 12 | 0 | 0 | 0 | 11 | 5 | 1 | 43.28% | 0 | 1 | 1.05 | 3 | 4 | 1.13 | ||
2 | Nathan MacKinnon | ![]() | 0 | C/RW | 41 | 14 | 27 | 41 | 1 | 26 | 0 | 59 | 185 | 65 | 107 | 7.57% | 19 | 21.87 | 4 | 6 | 10 | 0 | 0 | 0 | 63 | 2 | 1 | 53.46% | 1 | 0 | 1.00 | 2 | 4 | 1.06 | ||
3 | Ryan Hartman | ![]() | 0 | C/RW | 41 | 13 | 19 | 32 | -1 | 32 | 0 | 51 | 127 | 32 | 90 | 10.24% | 17 | 18.71 | 2 | 8 | 10 | 0 | 1 | 1 | 63 | 1 | 1 | 50.53% | 0 | 0 | 0.78 | 1 | 3 | 0.73 | ||
4 | Jack Eichel | ![]() | 0 | C | 36 | 8 | 17 | 25 | -6 | 8 | 0 | 43 | 128 | 41 | 76 | 6.25% | 10 | 17.90 | 0 | 2 | 2 | 0 | 0 | 0 | 23 | 2 | 1 | 50.09% | 0 | 0 | 0.69 | 0 | 2 | 0.74 | ||
5 | Ivan Barbashev | ![]() | 0 | C/LW/RW | 41 | 14 | 10 | 24 | -6 | 8 | 0 | 68 | 103 | 36 | 63 | 13.59% | 16 | 18.51 | 3 | 4 | 7 | 0 | 0 | 0 | 43 | 1 | 0 | 44.52% | 0 | 1 | 0.59 | 0 | 0 | 0.61 | ||
6 | Alex Tuch | ![]() | 0 | LW/RW | 41 | 6 | 10 | 16 | 1 | 8 | 0 | 44 | 53 | 14 | 35 | 11.32% | 25 | 22.02 | 1 | 1 | 2 | 0 | 0 | 0 | 71 | 0 | 1 | 42.19% | 0 | 0 | 0.39 | 1 | 2 | 0.40 | ||
7 | Seth Jones | ![]() | 0 | D | 41 | 4 | 12 | 16 | -5 | 24 | 0 | 53 | 70 | 41 | 32 | 5.71% | 50 | 24.98 | 2 | 1 | 3 | 0 | 0 | 0 | 79 | 1 | 0 | 0.00% | 0 | 0 | 0.39 | 0 | 0 | 0.34 | ||
8 | Tanner Jeannot | ![]() | 0 | LW/RW | 43 | 5 | 11 | 16 | -3 | 51 | 5 | 61 | 69 | 19 | 41 | 7.25% | 14 | 13.95 | 0 | 1 | 1 | 0 | 0 | 0 | 17 | 1 | 0 | 59.26% | 0 | 0 | 0.37 | 0 | 1 | 0.21 | ||
9 | Brenden Dillon | ![]() | 0 | D | 42 | 1 | 14 | 15 | 6 | 44 | 0 | 80 | 44 | 22 | 19 | 2.27% | 52 | 23.72 | 1 | 2 | 3 | 0 | 0 | 0 | 79 | 0 | 0 | 0.00% | 0 | 0 | 0.36 | 0 | 0 | 0.27 | ||
10 | Evan Rodrigues | ![]() | 0 | C/RW | 41 | 6 | 9 | 15 | 5 | 12 | 0 | 26 | 77 | 24 | 48 | 7.79% | 8 | 9.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 50.00% | 0 | 0 | 0.37 | 0 | 0 | 0.44 | ||
11 | Brett Pesce | ![]() | 0 | D | 41 | 3 | 10 | 13 | -1 | 9 | 5 | 19 | 49 | 14 | 11 | 6.12% | 58 | 23.44 | 0 | 2 | 2 | 0 | 0 | 0 | 64 | 0 | 0 | 0.00% | 1 | 0 | 0.32 | 0 | 0 | 0.32 | ||
12 | Gabriel Vilardi | ![]() | 0 | C | 41 | 9 | 4 | 13 | 0 | 0 | 0 | 26 | 80 | 21 | 34 | 11.25% | 11 | 9.23 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 1 | 1 | 48.21% | 0 | 0 | 0.32 | 0 | 1 | 0.42 | ||
13 | Brian Dumoulin | ![]() | 0 | D | 41 | 1 | 11 | 12 | -6 | 10 | 0 | 45 | 53 | 21 | 21 | 1.89% | 61 | 25.40 | 1 | 3 | 4 | 0 | 0 | 0 | 88 | 0 | 1 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.30 | ||
14 | Brett Connolly | ![]() | 0 | LW/RW | 41 | 3 | 7 | 10 | 5 | 0 | 0 | 35 | 52 | 19 | 34 | 5.77% | 2 | 7.17 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 83.33% | 0 | 0 | 0.24 | 0 | 0 | 0.35 | ||
15 | Artturi Lehkonen | ![]() | 0 | LW/RW | 41 | 5 | 3 | 8 | 0 | 4 | 0 | 46 | 83 | 21 | 40 | 6.02% | 16 | 16.87 | 1 | 0 | 1 | 0 | 0 | 0 | 42 | 2 | 0 | 47.22% | 0 | 0 | 0.20 | 0 | 0 | 0.33 | ||
16 | Dante Fabbro | ![]() | 0 | D | 26 | 0 | 6 | 6 | 5 | 4 | 0 | 9 | 12 | 3 | 3 | 0.00% | 4 | 7.07 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.24 | ||
17 | Noah Hanifin | ![]() | 0 | D | 41 | 1 | 4 | 5 | 4 | 0 | 0 | 11 | 57 | 14 | 23 | 1.75% | 17 | 13.30 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0.12 | 1 | 1 | 0.26 | ||
18 | Lukas Reichel | ![]() | 0 | C/LW | 41 | 3 | 2 | 5 | 5 | 0 | 0 | 13 | 23 | 9 | 24 | 13.04% | 4 | 6.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 33.33% | 0 | 0 | 0.12 | 0 | 0 | 0.20 | ||
Team Total or Average | 721 | 118 | 197 | 315 | 7 | 254 | 10 | 730 | 1430 | 479 | 804 | 8.25% | 399 | 16.93 | 21 | 37 | 58 | 1145 | 0 | 1 | 1 | 686 | 20 | 7 | 51.07% | 2614 | 285 | 309 | 2 | 2 | 0.52 | 8 | 18 |
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 | Frederik Andersen | ![]() | 36 | 18 | 17 | 1 | 0.924 | 2.58 | 2096 | 0 | 2 | 90 | 1190 | 505 | 2 | 1 | 0.714 | 14 | 36 | 5 | 6 | 4 | 2 |
2 | Pavel Francouz | ![]() | 7 | 3 | 1 | 1 | 0.913 | 3.00 | 380 | 0 | 0 | 19 | 219 | 108 | 0 | 0 | 0.000 | 0 | 5 | 36 | 0 | 0 | 2 |
Team Total or Average | 43 | 21 | 18 | 2 | 0.923 | 2.64 | 2476 | 0 | 2 | 109 | 1409 | 613 | 2 | 1 | 0.714 | 14 | 41 | 41 | 6 | 4 | 4 |
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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 45 | 11 | 23 | 11 | 0 | 37 | 15 | 4 | 17 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 23 | 14 | 19 | 7 | 17 | 8 | 33.3% | 4.4% | 89.2% | 93.6 | Unlucky |
2 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 6 | 1.000 | 9 | 14 | 23 | 0 | 1 | 0 | 5 | 4 | 0 | 111 | 30 | 38 | 43 | 0 | 113 | 34 | 16 | 46 | 9 | 1 | 11.11% | 8 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 66 | 40 | 64 | 26 | 49 | 25 | 80.0% | 8.1% | 98.2% | 106.3 | DULL |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 2 | 3 | 0 | 30 | 11 | 9 | 10 | 0 | 36 | 7 | 4 | 17 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 20 | 11 | 21 | 9 | 17 | 8 | 62.5% | 20.0% | 91.7% | 111.7 | LUCKY |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 27 | 13 | 4 | 10 | 0 | 35 | 14 | 8 | 12 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 19 | 10 | 23 | 8 | 16 | 9 | 50.0% | 7.4% | 91.4% | 98.8 | DULL |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 0 | 1 | 1 | 0 | 37 | 6 | 19 | 12 | 0 | 13 | 2 | 2 | 26 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 24 | 14 | 16 | 9 | 18 | 10 | 100.0% | 5.4% | 100.0% | 105.4 | DULL |
6 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 2 | 4 | 0 | 59 | 22 | 19 | 18 | 0 | 61 | 21 | 13 | 40 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 43 | 24 | 40 | 17 | 35 | 18 | 71.4% | 10.2% | 95.1% | 105.3 | LUCKY |
7 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 0 | 3 | 3 | 3 | 74 | 15 | 28 | 31 | 5 | 71 | 13 | 8 | 36 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 44 | 26 | 43 | 18 | 36 | 18 | 70.0% | 9.5% | 95.8% | 105.2 | LUCKY |
8 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 0 | 77 | 26 | 30 | 21 | 0 | 69 | 9 | 10 | 46 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 48 | 29 | 36 | 17 | 34 | 17 | 45.5% | 7.8% | 91.3% | 99.1 | DULL |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 37 | 14 | 13 | 10 | 0 | 40 | 9 | 4 | 22 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 21 | 12 | 22 | 8 | 16 | 8 | 16.7% | 2.7% | 87.5% | 90.2 | Unlucky |
10 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 40 | 5 | 15 | 20 | 0 | 40 | 8 | 12 | 21 | 5 | 1 | 20.00% | 6 | 4 | 33.33% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 20 | 11 | 22 | 9 | 16 | 7 | 100.0% | 7.5% | 90.0% | 97.5 | Unlucky |
11 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 2 | 3 | 2 | 53 | 21 | 17 | 15 | 2 | 83 | 16 | 10 | 39 | 5 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 47 | 28 | 39 | 18 | 37 | 19 | 58.3% | 13.2% | 91.6% | 104.8 | LUCKY |
12 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 40 | 10 | 16 | 14 | 0 | 31 | 7 | 4 | 20 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 25 | 16 | 17 | 7 | 17 | 9 | 100.0% | 12.5% | 96.8% | 109.3 | LUCKY |
13 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 0 | 66 | 23 | 24 | 19 | 0 | 62 | 18 | 4 | 33 | 10 | 2 | 20.00% | 2 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 46 | 27 | 38 | 18 | 35 | 18 | 62.5% | 10.6% | 95.2% | 105.8 | LUCKY |
14 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 1 | 2 | 2 | 74 | 34 | 19 | 21 | 4 | 72 | 23 | 6 | 34 | 10 | 1 | 10.00% | 3 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 46 | 27 | 41 | 17 | 37 | 20 | 30.8% | 6.8% | 87.5% | 94.3 | Unlucky |
15 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 38 | 12 | 20 | 6 | 0 | 31 | 11 | 4 | 16 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 22 | 13 | 21 | 8 | 16 | 8 | 33.3% | 7.9% | 87.1% | 95.0 | Unlucky |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 1 | 0 | 0 | 1 | 1 | 0 | 32 | 11 | 6 | 15 | 0 | 34 | 5 | 4 | 20 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 24 | 14 | 16 | 8 | 18 | 9 | 40.0% | 6.3% | 88.2% | 94.5 | Unlucky |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 6 | 9 | 14 | 0 | 36 | 11 | 4 | 20 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 19 | 10 | 21 | 9 | 18 | 8 | 40.0% | 6.9% | 91.7% | 98.6 | DULL |
18 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 71 | 23 | 19 | 29 | 0 | 75 | 18 | 14 | 32 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 47 | 28 | 37 | 17 | 34 | 17 | 50.0% | 7.0% | 94.7% | 101.7 | DULL |
19 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 2 | 3 | 0 | 68 | 22 | 18 | 28 | 0 | 58 | 19 | 10 | 41 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 49 | 30 | 36 | 17 | 33 | 17 | 50.0% | 7.4% | 91.4% | 98.7 | DULL |
20 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 4 | 8 | 0 | 0 | 1 | 3 | 0 | 0 | 39 | 12 | 12 | 15 | 0 | 33 | 13 | 10 | 12 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 24 | 14 | 18 | 8 | 16 | 8 | 60.0% | 10.3% | 93.9% | 104.2 | LUCKY |
21 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 44 | 11 | 14 | 19 | 0 | 31 | 12 | 2 | 13 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 23 | 15 | 18 | 8 | 18 | 9 | 25.0% | 2.3% | 90.3% | 92.6 | Unlucky |
22 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 3 | 0 | 65 | 26 | 28 | 11 | 0 | 62 | 18 | 4 | 38 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 45 | 26 | 36 | 18 | 37 | 17 | 57.1% | 9.2% | 93.5% | 102.8 | LUCKY |
23 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 8 | -4 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 71 | 24 | 24 | 23 | 3 | 77 | 22 | 6 | 30 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 45 | 27 | 42 | 18 | 37 | 18 | 20.0% | 5.6% | 89.6% | 95.2 | Unlucky |
24 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 39 | 18 | 12 | 9 | 0 | 34 | 10 | 2 | 16 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 24 | 15 | 17 | 8 | 18 | 9 | 42.9% | 7.7% | 88.2% | 95.9 | Unlucky |
25 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 36 | 12 | 12 | 12 | 0 | 27 | 3 | 6 | 19 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 22 | 12 | 18 | 9 | 19 | 9 | 80.0% | 11.1% | 96.3% | 107.4 | LUCKY |
26 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 64 | 28 | 14 | 22 | 0 | 74 | 26 | 6 | 35 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 40 | 24 | 44 | 18 | 35 | 16 | 25.0% | 4.7% | 90.5% | 95.2 | Unlucky |
27 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 65 | 17 | 23 | 25 | 0 | 75 | 27 | 18 | 29 | 6 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 44 | 26 | 40 | 17 | 34 | 18 | 33.3% | 4.6% | 88.0% | 92.6 | Unlucky |
_Vs Division | 12 | 5 | 4 | 0 | 0 | 0 | 2 | 1 | 32 | 33 | -1 | 15 | 0.625 | 32 | 43 | 75 | 1 | 1 | 2 | 17 | 11 | 5 | 438 | 140 | 140 | 158 | 12 | 440 | 119 | 54 | 200 | 37 | 5 | 13.51% | 27 | 1 | 96.30% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 273 | 163 | 249 | 106 | 212 | 109 | 45.8% | 7.3% | 92.5% | 99.8 | DULL | |
_Vs Conference | 24 | 10 | 10 | 0 | 0 | 0 | 3 | 1 | 62 | 67 | -5 | 27 | 0.563 | 62 | 92 | 154 | 1 | 2 | 8 | 27 | 24 | 7 | 833 | 272 | 288 | 273 | 14 | 846 | 241 | 102 | 417 | 68 | 11 | 16.18% | 51 | 8 | 84.31% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 546 | 325 | 484 | 214 | 429 | 218 | 46.4% | 7.4% | 92.1% | 99.5 | DULL | |
_Since Last GM Reset | 41 | 18 | 18 | 0 | 0 | 1 | 3 | 1 | 113 | 111 | 2 | 44 | 0.537 | 113 | 173 | 286 | 1 | 2 | 18 | 48 | 44 | 7 | 1431 | 463 | 485 | 483 | 14 | 1410 | 391 | 195 | 730 | 126 | 18 | 14.29% | 95 | 16 | 83.16% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 934 | 557 | 818 | 364 | 726 | 370 | 50.0% | 7.9% | 92.1% | 100.0 | DULL | |
Total | 41 | 18 | 18 | 0 | 0 | 1 | 3 | 1 | 113 | 111 | 2 | 44 | 0.537 | 113 | 173 | 286 | 1 | 2 | 18 | 48 | 44 | 7 | 1431 | 463 | 485 | 483 | 14 | 1410 | 391 | 195 | 730 | 126 | 18 | 14.29% | 95 | 16 | 83.16% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 934 | 557 | 818 | 364 | 726 | 370 | 50.0% | 7.9% | 92.1% | 100.0 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 19 |
Puck Time | |
---|---|
Offensive Zone Start | 1082 |
Neutral Zone Start | 567 |
Defensive Zone Start | 1006 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 1360 |
Faceoffs Lost | 1295 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 34.9 | 30.68 |
Overtime | 35.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 94 |
---|---|
PP Goal | 18 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 12 | 9 |
Lost | 11 | 7 |
Overtime Lost | 2 | 0 |
PP Attempt | 126 |
---|---|
PP Goal | 18 |
PK Attempt | 95 |
PK Goal Against | 16 |
Home | |
---|---|
Shots For | 34.9 |
Shots Against | 34.4 |
Goals For | 2.8 |
Goals Against | 2.7 |
Hits | 17.8 |
Shots Blocked | 9.5 |
Pim | 4.8 |
![]() | |
Projected Total Cap Hit | 79,800,000$ |
Projected Cap Space | 2,700,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 43,519,461$ |
Players In Salary Cap | 20 |
Contracts | 52/50 |
LTIR Players | 0 |
Blackhawks Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Tuch ![]() | LW/RW | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Artturi Lehkonen ![]() | LW/RW | 27 | 2,000,000$ | 2,000,000$ | ![]() | ||||||
Brenden Dillon ![]() | D | 32 | 4,200,000$ | 4,200,000$ | UFA | ||||||
Brett Connolly ![]() | LW/RW | 30 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Brett Pesce ![]() | D | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Brian Dumoulin ![]() | D | 31 | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | ||||
Dante Fabbro ![]() | D | 24 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||
Evan Rodrigues ![]() | C/RW | 29 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Frederik Andersen ![]() | G | 33 | 6,800,000$ | 6,800,000$ | 6,800,000$ | UFA | |||||
Gabriel Vilardi ![]() | C | 23 | 350,000$ | 750,000$ | RFA | ||||||
Ivan Barbashev ![]() | C/LW/RW | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Jack Eichel ![]() | C | 26 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||||
Lukas Reichel ![]() | C/LW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Nathan MacKinnon ![]() | C/RW | 27 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||
Nikita Kucherov ![]() | RW | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||||
Noah Hanifin ![]() | D | 26 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Pavel Francouz ![]() | G | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Ryan Hartman ![]() | C/RW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Seth Jones ![]() | D | 28 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Tanner Jeannot ![]() | LW/RW | 25 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Musil ![]() | C | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Alexander Peters ![]() | D | 26 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Brad Hunt ![]() | D | 34 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Christoffer Ehn ![]() | C/LW/RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Cody Goloubef ![]() | D | 33 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Cory Schneider ![]() | G | 36 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Curtis McKenzie ![]() | LW | 31 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Dylan McLaughlin ![]() | C | 27 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Eamon McAdam ![]() | G | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Filip Gustavsson ![]() | G | 24 | 980,000$ | 980,000$ | ![]() | ||||||
German Rubtsov ![]() | C | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Graham McPhee ![]() | LW | 24 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() | ||||
Hunter Shepard ![]() | G | 27 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Jimmy Oligny ![]() | D | 29 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Josh Wesley ![]() | D | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
Juuso Riikola ![]() | D | 29 | 1,184,000$ | 1,184,000$ | UFA | ||||||
Kirill Semyonov ![]() | C | 28 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Kyle Rau ![]() | C/LW | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Luke Stevens ![]() | LW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Macoy Erkamps ![]() | D | 28 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Marko Dano ![]() | C/LW/RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Matt Moulson ![]() | LW | 39 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Michael Dal Colle ![]() | LW | 26 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Nick DeSimone ![]() | D | 28 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Nick Merkley ![]() | RW | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||
Olle Eriksson Ek ![]() | G | 23 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | ![]() | ||||
Richard Panik ![]() | RW | 31 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Samuel Dove-McFalls ![]() | C/LW | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Simon Holmstrom ![]() | RW | 21 | 950,000$ | 950,000$ | RFA | ||||||
Tobias Lindberg ![]() | RW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Tommy Cross ![]() | D | 33 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Zach Sawchenko ![]() | G | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ![]() |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 45 | 11 | 23 | 11 | 0 | 37 | 15 | 4 | 17 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 23 | 14 | 19 | 7 | 17 | 8 | 33.3% | 4.4% | 89.2% | 93.6 | Unlucky |
2 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 6 | 1.000 | 9 | 14 | 23 | 0 | 1 | 0 | 5 | 4 | 0 | 111 | 30 | 38 | 43 | 0 | 113 | 34 | 16 | 46 | 9 | 1 | 11.11% | 8 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 66 | 40 | 64 | 26 | 49 | 25 | 80.0% | 8.1% | 98.2% | 106.3 | DULL |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 2 | 3 | 0 | 30 | 11 | 9 | 10 | 0 | 36 | 7 | 4 | 17 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 20 | 11 | 21 | 9 | 17 | 8 | 62.5% | 20.0% | 91.7% | 111.7 | LUCKY |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 27 | 13 | 4 | 10 | 0 | 35 | 14 | 8 | 12 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 19 | 10 | 23 | 8 | 16 | 9 | 50.0% | 7.4% | 91.4% | 98.8 | DULL |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 0 | 1 | 1 | 0 | 37 | 6 | 19 | 12 | 0 | 13 | 2 | 2 | 26 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 24 | 14 | 16 | 9 | 18 | 10 | 100.0% | 5.4% | 100.0% | 105.4 | DULL |
6 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 0 | 2 | 4 | 0 | 59 | 22 | 19 | 18 | 0 | 61 | 21 | 13 | 40 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 43 | 24 | 40 | 17 | 35 | 18 | 71.4% | 10.2% | 95.1% | 105.3 | LUCKY |
7 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 0 | 3 | 3 | 3 | 74 | 15 | 28 | 31 | 5 | 71 | 13 | 8 | 36 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 44 | 26 | 43 | 18 | 36 | 18 | 70.0% | 9.5% | 95.8% | 105.2 | LUCKY |
8 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 0 | 77 | 26 | 30 | 21 | 0 | 69 | 9 | 10 | 46 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 48 | 29 | 36 | 17 | 34 | 17 | 45.5% | 7.8% | 91.3% | 99.1 | DULL |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 37 | 14 | 13 | 10 | 0 | 40 | 9 | 4 | 22 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 21 | 12 | 22 | 8 | 16 | 8 | 16.7% | 2.7% | 87.5% | 90.2 | Unlucky |
10 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 40 | 5 | 15 | 20 | 0 | 40 | 8 | 12 | 21 | 5 | 1 | 20.00% | 6 | 4 | 33.33% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 20 | 11 | 22 | 9 | 16 | 7 | 100.0% | 7.5% | 90.0% | 97.5 | Unlucky |
11 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 2 | 3 | 2 | 53 | 21 | 17 | 15 | 2 | 83 | 16 | 10 | 39 | 5 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 47 | 28 | 39 | 18 | 37 | 19 | 58.3% | 13.2% | 91.6% | 104.8 | LUCKY |
12 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 1 | 0 | 40 | 10 | 16 | 14 | 0 | 31 | 7 | 4 | 20 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 25 | 16 | 17 | 7 | 17 | 9 | 100.0% | 12.5% | 96.8% | 109.3 | LUCKY |
13 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 0 | 66 | 23 | 24 | 19 | 0 | 62 | 18 | 4 | 33 | 10 | 2 | 20.00% | 2 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 46 | 27 | 38 | 18 | 35 | 18 | 62.5% | 10.6% | 95.2% | 105.8 | LUCKY |
14 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 1 | 1 | 2 | 2 | 74 | 34 | 19 | 21 | 4 | 72 | 23 | 6 | 34 | 10 | 1 | 10.00% | 3 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 46 | 27 | 41 | 17 | 37 | 20 | 30.8% | 6.8% | 87.5% | 94.3 | Unlucky |
15 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 38 | 12 | 20 | 6 | 0 | 31 | 11 | 4 | 16 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 22 | 13 | 21 | 8 | 16 | 8 | 33.3% | 7.9% | 87.1% | 95.0 | Unlucky |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 1 | 0 | 0 | 1 | 1 | 0 | 32 | 11 | 6 | 15 | 0 | 34 | 5 | 4 | 20 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 24 | 14 | 16 | 8 | 18 | 9 | 40.0% | 6.3% | 88.2% | 94.5 | Unlucky |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 6 | 9 | 14 | 0 | 36 | 11 | 4 | 20 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 19 | 10 | 21 | 9 | 18 | 8 | 40.0% | 6.9% | 91.7% | 98.6 | DULL |
18 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 71 | 23 | 19 | 29 | 0 | 75 | 18 | 14 | 32 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 47 | 28 | 37 | 17 | 34 | 17 | 50.0% | 7.0% | 94.7% | 101.7 | DULL |
19 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 0 | 2 | 3 | 0 | 68 | 22 | 18 | 28 | 0 | 58 | 19 | 10 | 41 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 49 | 30 | 36 | 17 | 33 | 17 | 50.0% | 7.4% | 91.4% | 98.7 | DULL |
20 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 4 | 8 | 0 | 0 | 1 | 3 | 0 | 0 | 39 | 12 | 12 | 15 | 0 | 33 | 13 | 10 | 12 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 24 | 14 | 18 | 8 | 16 | 8 | 60.0% | 10.3% | 93.9% | 104.2 | LUCKY |
21 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 44 | 11 | 14 | 19 | 0 | 31 | 12 | 2 | 13 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 23 | 15 | 18 | 8 | 18 | 9 | 25.0% | 2.3% | 90.3% | 92.6 | Unlucky |
22 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 1 | 3 | 0 | 65 | 26 | 28 | 11 | 0 | 62 | 18 | 4 | 38 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 45 | 26 | 36 | 18 | 37 | 17 | 57.1% | 9.2% | 93.5% | 102.8 | LUCKY |
23 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 8 | -4 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 71 | 24 | 24 | 23 | 3 | 77 | 22 | 6 | 30 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 45 | 27 | 42 | 18 | 37 | 18 | 20.0% | 5.6% | 89.6% | 95.2 | Unlucky |
24 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 39 | 18 | 12 | 9 | 0 | 34 | 10 | 2 | 16 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 24 | 15 | 17 | 8 | 18 | 9 | 42.9% | 7.7% | 88.2% | 95.9 | Unlucky |
25 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 36 | 12 | 12 | 12 | 0 | 27 | 3 | 6 | 19 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 22 | 12 | 18 | 9 | 19 | 9 | 80.0% | 11.1% | 96.3% | 107.4 | LUCKY |
26 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 64 | 28 | 14 | 22 | 0 | 74 | 26 | 6 | 35 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 40 | 24 | 44 | 18 | 35 | 16 | 25.0% | 4.7% | 90.5% | 95.2 | Unlucky |
27 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 65 | 17 | 23 | 25 | 0 | 75 | 27 | 18 | 29 | 6 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 44 | 26 | 40 | 17 | 34 | 18 | 33.3% | 4.6% | 88.0% | 92.6 | Unlucky |
_Vs Division | 12 | 5 | 4 | 0 | 0 | 0 | 2 | 1 | 32 | 33 | -1 | 15 | 0.625 | 32 | 43 | 75 | 1 | 1 | 2 | 17 | 11 | 5 | 438 | 140 | 140 | 158 | 12 | 440 | 119 | 54 | 200 | 37 | 5 | 13.51% | 27 | 1 | 96.30% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 273 | 163 | 249 | 106 | 212 | 109 | 45.8% | 7.3% | 92.5% | 99.8 | DULL | |
_Vs Conference | 24 | 10 | 10 | 0 | 0 | 0 | 3 | 1 | 62 | 67 | -5 | 27 | 0.563 | 62 | 92 | 154 | 1 | 2 | 8 | 27 | 24 | 7 | 833 | 272 | 288 | 273 | 14 | 846 | 241 | 102 | 417 | 68 | 11 | 16.18% | 51 | 8 | 84.31% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 546 | 325 | 484 | 214 | 429 | 218 | 46.4% | 7.4% | 92.1% | 99.5 | DULL | |
_Since Last GM Reset | 41 | 18 | 18 | 0 | 0 | 1 | 3 | 1 | 113 | 111 | 2 | 44 | 0.537 | 113 | 173 | 286 | 1 | 2 | 18 | 48 | 44 | 7 | 1431 | 463 | 485 | 483 | 14 | 1410 | 391 | 195 | 730 | 126 | 18 | 14.29% | 95 | 16 | 83.16% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 934 | 557 | 818 | 364 | 726 | 370 | 50.0% | 7.9% | 92.1% | 100.0 | DULL | |
Total | 41 | 18 | 18 | 0 | 0 | 1 | 3 | 1 | 113 | 111 | 2 | 44 | 0.537 | 113 | 173 | 286 | 1 | 2 | 18 | 48 | 44 | 7 | 1431 | 463 | 485 | 483 | 14 | 1410 | 391 | 195 | 730 | 126 | 18 | 14.29% | 95 | 16 | 83.16% | 0 | 540 | 1082 | 49.91% | 511 | 1006 | 50.80% | 309 | 567 | 54.50% | 934 | 557 | 818 | 364 | 726 | 370 | 50.0% | 7.9% | 92.1% | 100.0 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 19 |
Puck Time | |
---|---|
Offensive Zone Start | 1082 |
Neutral Zone Start | 567 |
Defensive Zone Start | 1006 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 1360 |
Faceoffs Lost | 1295 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 34.9 | 30.68 |
Overtime | 35.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 94 |
---|---|
PP Goal | 18 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 12 | 9 |
Lost | 11 | 7 |
Overtime Lost | 2 | 0 |
PP Attempt | 126 |
---|---|
PP Goal | 18 |
PK Attempt | 95 |
PK Goal Against | 16 |
Home | |
---|---|
Shots For | 34.9 |
Shots Against | 34.4 |
Goals For | 2.8 |
Goals Against | 2.7 |
Hits | 17.8 |
Shots Blocked | 9.5 |
Pim | 4.8 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thu, Oct 27 | ![]() | @ | ![]() | CHI3,COL2 (SO) | RECAP | |||||||||
Fri, Oct 28 | ![]() | @ | ![]() | CHI1,GKV3 | RECAP | |||||||||
Sun, Oct 30 | ![]() | @ | ![]() | CHI2,SJ 1 | RECAP | |||||||||
Sat, Nov 5 | ![]() | @ | ![]() | DET4,CHI3 | RECAP | |||||||||
Mon, Nov 7 | ![]() | @ | ![]() | SEA6,CHI2 | RECAP | |||||||||
Wed, Nov 9 | ![]() | @ | ![]() | FLO1,CHI5 | RECAP | |||||||||
Fri, Nov 11 | ![]() | @ | ![]() | EDM4,CHI5 (SO) | RECAP | |||||||||
Sun, Nov 13 | ![]() | @ | ![]() | CHI2,BUF3 | RECAP | |||||||||
Mon, Nov 14 | ![]() | @ | ![]() | MIN6,CHI1 | RECAP | |||||||||
Wed, Nov 16 | ![]() | @ | ![]() | NYI2,CHI1 | RECAP | |||||||||
Fri, Nov 18 | ![]() | @ | ![]() | LOS2,CHI4 | RECAP | |||||||||
Sun, Nov 20 | ![]() | @ | ![]() | CHI3,WPG0 | RECAP | |||||||||
Fri, Nov 25 | ![]() | @ | ![]() | CHI3,LOS1 | RECAP | |||||||||
Sun, Nov 27 | ![]() | @ | ![]() | CHI2,ANA4 | RECAP | |||||||||
Tue, Nov 29 | ![]() | @ | ![]() | CAR1,CHI3 | RECAP | |||||||||
Thu, Dec 1 | ![]() | @ | ![]() | STL3,CHI2 (SO) | RECAP | |||||||||
Sun, Dec 4 | ![]() | @ | ![]() | CHI6,BOS3 | RECAP | |||||||||
Mon, Dec 5 | ![]() | @ | ![]() | PIT3,CHI1 | RECAP | |||||||||
Thu, Dec 8 | ![]() | @ | ![]() | CHI1,DAL5 | RECAP | |||||||||
Sat, Dec 10 | ![]() | @ | ![]() | MTL4,CHI3 | RECAP | |||||||||
Mon, Dec 12 | ![]() | @ | ![]() | WPG1,CHI3 | RECAP | |||||||||
Thu, Dec 15 | ![]() | @ | ![]() | EDM3,CHI2 | RECAP | |||||||||
Sun, Dec 18 | ![]() | @ | ![]() | CHI1,NYR2 | RECAP | |||||||||
Mon, Dec 19 | ![]() | @ | ![]() | CHI4,NYI2 | RECAP | |||||||||
Wed, Dec 21 | ![]() | @ | ![]() | CHI2,NJD3 | RECAP | |||||||||
Sat, Dec 24 | ![]() | @ | ![]() | WPG1,CHI3 | RECAP | |||||||||
Wed, Dec 28 | ![]() | @ | ![]() | WAS1,CHI4 | RECAP | |||||||||
Fri, Dec 30 | ![]() | @ | ![]() | GKV4,CHI2 | RECAP | |||||||||
Sat, Dec 31 | ![]() | @ | ![]() | CHI4,MIN3 (SO) | RECAP | |||||||||
Mon, Jan 2 | ![]() | @ | ![]() | NYR3,CHI4 | RECAP | |||||||||
Thu, Jan 5 | ![]() | @ | ![]() | NAS4,CHI2 | RECAP | |||||||||
Sat, Jan 7 | ![]() | @ | ![]() | CLB4,CHI3 | RECAP | |||||||||
Wed, Jan 11 | ![]() | @ | ![]() | CHI3,CAR2 | RECAP | |||||||||
Fri, Jan 13 | ![]() | @ | ![]() | CHI2,STL5 | RECAP | |||||||||
Sun, Jan 15 | ![]() | @ | ![]() | CHI3,CLB2 | RECAP | |||||||||
Mon, Jan 16 | ![]() | @ | ![]() | SJ 3,CHI4 | RECAP | |||||||||
Wed, Jan 18 | ![]() | @ | ![]() | TAM4,CHI3 (OT) | RECAP | |||||||||
Sat, Jan 21 | ![]() | @ | ![]() | PHO2,CHI4 | RECAP | |||||||||
Mon, Jan 23 | ![]() | @ | ![]() | CAL0,CHI2 | RECAP | |||||||||
Fri, Jan 27 | ![]() | @ | ![]() | COL1,CHI4 | RECAP | |||||||||
Sun, Jan 29 | ![]() | @ | ![]() | SEA3,CHI1 | RECAP | |||||||||
Wed, Feb 1 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 3 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 5 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 6 | ![]() | @ | ![]() | |||||||||||
Wed, Feb 8 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 10 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 12 | ![]() | @ | ![]() | |||||||||||
Wed, Feb 22 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 25 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 26 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 1 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 2 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 4 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 6 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 8 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 9 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 12 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 14 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 15 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 17 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 19 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 21 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 23 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 25 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 26 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 29 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 31 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 2 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 4 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Fri, Apr 7 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 9 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 10 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 12 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 14 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 16 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 19 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 21 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 23 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 25 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 26 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 28 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,800,000$ | 0$ | 79,800,000$ | 2,700,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | United Center | |
City | Chicago | ||
Capacity | 20500 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 4500 | 4000 | 1000 |
Ticket Price | 90$ | 50$ | 20$ | 15$ | 180$ |
Attendance | 144274 | 122495 | 94087 | 99337 | 24296 |
Attendance PCT | 96.18% | 98.00% | 83.63% | 99.34% | 97.18% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
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![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
16 | 19380 - 94.53% | 1,396,433$ | 34,910,830$ | 20500 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,800,000$ | 79,400,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
44,247,990$ | 79,800,000$ | 43,519,461$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
22,342,931$ | 87 | 429,365$ | 37,354,755$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
39,151,939$ | 79,800,000$ | 30,884,420$ | 14,075,412$ |
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 |
---|---|---|---|---|---|---|---|
2024 | ![]() | ![]() | |||||
2025 | ![]() | ![]() | ![]() | ![]() | |||
2026 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | |
2027 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Adam Edstrom | ![]() | 2019 | 180 | ||
Alexis Pepin | ![]() | 2014 | 101 | ||
Benjamin Roger | ![]() | 2021 | 42 | ||
Bogdan Trineyev | ![]() | 2020 | 177 | ||
Carson Latimer | ![]() | 2021 | 134 | ||
Cole Candella | ![]() | 2016 | 192 | ||
Filip Ahl | ![]() | 2015 | 88 | ||
Giovanni Vallati | ![]() | 2018 | 154 | ||
Juho Markkanen | ![]() | 2020 | 136 | ||
Lukas Svejkovsky | ![]() | 2020 | 175 | ||
Maksim Berezkin | ![]() | 2020 | 193 | ||
Maxim Barbashev | ![]() | 2022 | 139 | ||
Miska Kukkonen | ![]() | 2018 | 126 | ||
Zach Ostapchuk | ![]() | 2021 | 40 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | ![]() | ![]() | |||||
2025 | ![]() | ![]() | ![]() | ![]() | |||
2026 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | |
2027 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Adam Edstrom | ![]() | 2019 | 180 | ||
Alexis Pepin | ![]() | 2014 | 101 | ||
Benjamin Roger | ![]() | 2021 | 42 | ||
Bogdan Trineyev | ![]() | 2020 | 177 | ||
Carson Latimer | ![]() | 2021 | 134 | ||
Cole Candella | ![]() | 2016 | 192 | ||
Filip Ahl | ![]() | 2015 | 88 | ||
Giovanni Vallati | ![]() | 2018 | 154 | ||
Juho Markkanen | ![]() | 2020 | 136 | ||
Lukas Svejkovsky | ![]() | 2020 | 175 | ||
Maksim Berezkin | ![]() | 2020 | 193 | ||
Maxim Barbashev | ![]() | 2022 | 139 | ||
Miska Kukkonen | ![]() | 2018 | 126 | ||
Zach Ostapchuk | ![]() | 2021 | 40 |
|