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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C/LW/RW | 100.00 | 71 | 40 | 83 | 75 | 75 | 80 | 91 | 78 | 92 | 83 | 77 | 72 | 58 | 89 | 94 | 0 | 81 | 35 | 6,500,000$/3yrs | |||||
![]() | LW | 100.00 | 64 | 40 | 88 | 86 | 65 | 81 | 91 | 82 | 51 | 89 | 74 | 66 | 63 | 75 | 64 | 0 | 80 | 30 | 9,750,000$/7yrs | |||||
![]() | LW | 100.00 | 67 | 40 | 89 | 81 | 66 | 86 | 93 | 81 | 53 | 85 | 80 | 64 | 61 | 68 | 59 | 0 | 80 | 27 | 7,142,857$/4yrs | |||||
![]() | C | 100.00 | 68 | 40 | 91 | 78 | 74 | 78 | 90 | 70 | 85 | 80 | 66 | 74 | 63 | 73 | 60 | 0 | 76 | 30 | 5,900,000$/4yrs | |||||
![]() | C/LW/RW | 98.52 | 74 | 69 | 80 | 74 | 70 | 77 | 92 | 70 | 78 | 79 | 68 | 75 | 54 | 68 | 65 | 0 | 76 | 31 | 5,166,666$/3yrs | |||||
![]() | C/LW/RW | 100.00 | 71 | 40 | 88 | 76 | 80 | 75 | 88 | 68 | 59 | 77 | 68 | 74 | 77 | 62 | 58 | 0 | 75 | 28 | 1,875,000$/6yrs | |||||
![]() | RW | 100.00 | 92 | 40 | 85 | 63 | 87 | 66 | 82 | 60 | 54 | 70 | 63 | 77 | 57 | 85 | 73 | 0 | 73 | 36 | 1,750,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 73 | 40 | 90 | 68 | 75 | 72 | 95 | 62 | 82 | 73 | 63 | 80 | 54 | 66 | 59 | 0 | 73 | 28 | 1,500,000$/5yrs | |||||
![]() | C/RW | 100.00 | 69 | 60 | 86 | 74 | 70 | 71 | 82 | 63 | 79 | 76 | 61 | 78 | 54 | 59 | 58 | 0 | 72 | 27 | 1,700,000$/3yrs | |||||
![]() | C/LW | 100.00 | 74 | 40 | 90 | 67 | 72 | 68 | 83 | 62 | 80 | 73 | 62 | 79 | 68 | 62 | 58 | 0 | 72 | 29 | 2,200,000$/2yrs | |||||
![]() | C/LW | 100.00 | 72 | 65 | 89 | 69 | 80 | 64 | 91 | 59 | 80 | 70 | 61 | 75 | 54 | 75 | 62 | 0 | 71 | 38 | 1,000,000$/1yrs | |||||
![]() | LW/RW | 100.00 | 72 | 58 | 90 | 66 | 76 | 69 | 89 | 61 | 54 | 71 | 64 | 75 | 58 | 70 | 59 | 0 | 71 | 30 | 750,000$/3yrs | |||||
![]() | D | 100.00 | 67 | 40 | 86 | 88 | 83 | 94 | 91 | 71 | 40 | 82 | 66 | 84 | 54 | 84 | 82 | 0 | 82 | 33 | 8,800,000$/5yrs | |||||
![]() | D | 100.00 | 64 | 40 | 91 | 94 | 84 | 94 | 72 | 69 | 40 | 80 | 67 | 81 | 54 | 68 | 65 | 0 | 80 | 26 | 9,583,333$/6yrs | |||||
![]() | D | 100.00 | 75 | 40 | 84 | 82 | 86 | 91 | 90 | 64 | 40 | 76 | 60 | 90 | 54 | 72 | 68 | 0 | 79 | 30 | 6,500,000$/8yrs | |||||
![]() | D | 100.00 | 75 | 65 | 76 | 68 | 83 | 85 | 89 | 62 | 40 | 73 | 60 | 90 | 54 | 67 | 65 | 0 | 76 | 31 | 1,450,000$/8yrs | |||||
![]() | D | 100.00 | 66 | 40 | 78 | 65 | 71 | 79 | 61 | 60 | 40 | 73 | 62 | 79 | 54 | 55 | 58 | 0 | 71 | 25 | 825,000$/2yrs | |||||
![]() | D | 100.00 | 69 | 69 | 75 | 68 | 87 | 70 | 76 | 58 | 40 | 69 | 59 | 82 | 54 | 58 | 58 | 0 | 71 | 24 | 850,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C | 100.00 | 70 | 38 | 86 | 68 | 71 | 58 | 68 | 59 | 51 | 67 | 66 | 67 | 51 | 59 | 55 | 0 | 68 | 26 | 775,000$/1yrs | |||||
![]() | D | 100.00 | 65 | 63 | 79 | 68 | 78 | 63 | 68 | 57 | 40 | 67 | 58 | 78 | 54 | 60 | 59 | 0 | 69 | 30 | 762,500$/2yrs | |||||
![]() | D | 100.00 | 56 | 54 | 72 | 61 | 69 | 65 | 59 | 59 | 40 | 62 | 58 | 63 | 54 | 60 | 57 | 0 | 64 | 26 | 762,500$/2yrs | |||||
TEAM AVERAGE | 99.90 | 70 | 49 | 85 | 73 | 76 | 76 | 83 | 65 | 58 | 75 | 65 | 76 | 57 | 68 | 64 | 0 | 74 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 70 | 99.00 | 71 | 89 | 88 | 88 | 79 | 77 | 83 | 68 | 85 | 71 | 83 | 59 | 55 | 0 | 80 | 27 | 2,725,000$/3yrs | |
![]() | 32 | 100.00 | 76 | 68 | 69 | 80 | 87 | 78 | 81 | 71 | 84 | 74 | 93 | 59 | 55 | 0 | 78 | 28 | 1,500,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 74 | 79 | 79 | 84 | 83 | 78 | 82 | 70 | 85 | 73 | 88 | 59 | 55 | 0 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jared Bednar | 79 | 92 | 94 | 81 | 75 | 70 | 76 | CAN | 44 | 5 | 0$ |
General Manager | William Hénault |
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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 | Alex Pietrangelo | ![]() | 7 | D | 27 | 5 | 16 | 21 | 2 | 20 | 0 | 34 | 46 | 12 | 30 | 10.87% | 37 | 24.46 | 4 | 4 | 8 | 0 | 0 | 0 | 99 | 0 | 1 | 0.00% | 0 | 0 | 0.78 | 0 | 0 | 0.64 | ||
2 | Claude Giroux | ![]() | 28 | C/LW/RW | 27 | 7 | 13 | 20 | 1 | 18 | 0 | 45 | 65 | 25 | 41 | 10.77% | 2 | 20.12 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 1 | 1 | 55.63% | 0 | 0 | 0.74 | 1 | 2 | 0.65 | ||
3 | Zach Werenski | ![]() | 8 | D | 27 | 3 | 13 | 16 | -6 | 4 | 0 | 14 | 54 | 14 | 35 | 5.56% | 22 | 21.24 | 3 | 6 | 9 | 0 | 0 | 0 | 43 | 1 | 0 | 0.00% | 0 | 0 | 0.59 | 0 | 0 | 0.51 | ||
4 | Yanni Gourde | ![]() | 37 | C/LW/RW | 27 | 7 | 8 | 15 | -1 | 20 | 10 | 53 | 56 | 14 | 29 | 12.50% | 1 | 19.53 | 3 | 6 | 9 | 0 | 0 | 0 | 73 | 2 | 0 | 45.65% | 0 | 0 | 0.56 | 0 | 0 | 0.46 | ||
5 | Johnny Gaudreau | ![]() | 13 | LW | 27 | 7 | 6 | 13 | -3 | 2 | 0 | 17 | 71 | 19 | 57 | 9.86% | 1 | 18.89 | 3 | 4 | 7 | 0 | 0 | 0 | 10 | 3 | 0 | 35.29% | 0 | 0 | 0.48 | 1 | 1 | 0.53 | ||
6 | Kyle Connor | ![]() | 81 | LW | 27 | 5 | 8 | 13 | -1 | 8 | 0 | 25 | 84 | 35 | 45 | 5.95% | 2 | 19.89 | 1 | 4 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 39.02% | 0 | 0 | 0.48 | 1 | 1 | 0.56 | ||
7 | David Kampf | ![]() | 64 | C/LW/RW | 27 | 5 | 6 | 11 | 6 | 12 | 0 | 26 | 27 | 7 | 15 | 18.52% | 1 | 14.62 | 3 | 2 | 5 | 0 | 0 | 0 | 107 | 2 | 0 | 52.11% | 0 | 0 | 0.41 | 0 | 0 | 0.37 | ||
8 | William Karlsson | ![]() | 71 | C | 23 | 2 | 8 | 10 | -1 | 8 | 0 | 25 | 31 | 15 | 19 | 6.45% | 5 | 16.72 | 0 | 5 | 5 | 0 | 0 | 0 | 12 | 0 | 0 | 53.46% | 0 | 0 | 0.43 | 0 | 0 | 0.35 | ||
9 | Colton Parayko | ![]() | 55 | D | 27 | 3 | 7 | 10 | 1 | 34 | 0 | 52 | 51 | 19 | 33 | 5.88% | 27 | 24.17 | 2 | 1 | 3 | 0 | 0 | 0 | 93 | 0 | 0 | 0.00% | 0 | 0 | 0.37 | 0 | 0 | 0.28 | ||
10 | Nick Blankenburg | ![]() | 0 | D | 27 | 3 | 6 | 9 | 6 | 18 | 0 | 31 | 12 | 4 | 4 | 25.00% | 26 | 15.43 | 1 | 0 | 1 | 0 | 0 | 0 | 83 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.29 | ||
11 | Trevor Moore | ![]() | 0 | C/LW/RW | 27 | 3 | 6 | 9 | -2 | 10 | 0 | 41 | 56 | 12 | 43 | 5.36% | 8 | 18.29 | 0 | 4 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 28.57% | 0 | 0 | 0.33 | 0 | 0 | 0.37 | ||
12 | Jimmy Vesey | ![]() | 26 | LW/RW | 27 | 5 | 2 | 7 | 6 | 12 | 0 | 19 | 26 | 9 | 11 | 19.23% | 1 | 8.82 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 40.00% | 0 | 0 | 0.26 | 0 | 0 | 0.28 | ||
13 | Jake Evans | ![]() | 0 | C/RW | 24 | 4 | 2 | 6 | 4 | 0 | 0 | 15 | 25 | 4 | 10 | 16.00% | 3 | 12.42 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 2 | 1 | 54.25% | 0 | 0 | 0.25 | 0 | 0 | 0.33 | ||
14 | Cal Foote | ![]() | 52 | D | 27 | 1 | 3 | 4 | 5 | 23 | 5 | 42 | 10 | 4 | 4 | 10.00% | 13 | 12.02 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 0.00% | 0 | 0 | 0.15 | 0 | 0 | 0.10 | ||
15 | Scott Mayfield | ![]() | 24 | D | 27 | 1 | 2 | 3 | -6 | 52 | 0 | 75 | 16 | 5 | 15 | 6.25% | 41 | 19.63 | 0 | 0 | 0 | 0 | 0 | 0 | 87 | 1 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | -0.16 | ||
16 | Pierre-Edouard Bellemare | ![]() | 41 | C/LW | 27 | 1 | 0 | 1 | -2 | 6 | 0 | 6 | 19 | 3 | 8 | 5.26% | 2 | 10.21 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 0 | 1 | 52.58% | 0 | 0 | 0.04 | 0 | 0 | 0.00 | ||
17 | Denis Malgin | ![]() | 0 | C | 4 | 0 | 0 | 0 | -3 | 2 | 0 | 1 | 1 | 0 | 2 | 0.00% | 0 | 13.40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.94% | 0 | 0 | 0.00 | 0 | 0 | -0.34 | ||
18 | Cal Clutterbuck | ![]() | 15 | RW | 27 | 0 | 0 | 0 | -2 | 8 | 0 | 29 | 16 | 5 | 14 | 0.00% | 1 | 6.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.56% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | ||
19 | Teddy Blueger | ![]() | 53 | C/LW | 27 | 0 | 0 | 0 | -2 | 4 | 0 | 6 | 23 | 11 | 13 | 0.00% | 5 | 10.92 | 0 | 0 | 0 | 0 | 0 | 0 | 112 | 0 | 0 | 53.85% | 0 | 0 | 0.00 | 0 | 0 | 0.04 | ||
Team Total or Average | 483 | 62 | 106 | 168 | 2 | 261 | 15 | 556 | 689 | 217 | 428 | 9.00% | 198 | 16.35 | 22 | 40 | 62 | 900 | 0 | 0 | 0 | 861 | 15 | 5 | 52.57% | 2334 | 0 | 0 | 0 | 0 | 0.43 | 3 | 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 |
# | 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 | Karel Vejmelka | ![]() | 24 | 14 | 10 | 0 | 0.921 | 2.05 | 1374 | 2 | 5 | 47 | 592 | 0 | 1 | 0 | 0.800 | 5 | 24 | 3 | 4 | 3 | 1 |
2 | Kevin Lankinen | ![]() | 6 | 2 | 1 | 0 | 0.936 | 1.67 | 252 | 2 | 0 | 7 | 110 | 0 | 0 | 0 | 0.000 | 0 | 3 | 24 | 1 | 0 | 0 |
Team Total or Average | 30 | 16 | 11 | 0 | 0.923 | 1.99 | 1626 | 4 | 5 | 54 | 702 | 0 | 1 | 0 | 0.800 | 5 | 27 | 27 | 5 | 3 | 1 |
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 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 30 | 9 | 10 | 11 | 0 | 24 | 8 | 12 | 22 | 7 | 2 | 28.57% | 5 | 1 | 80.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 26 | 17 | 21 | 7 | 12 | 6 | 66.7% | 13.3% | 91.7% | 105.0 | LUCKY |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 20 | 9 | 6 | 5 | 0 | 38 | 11 | 6 | 19 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 22 | 15 | 25 | 8 | 12 | 6 | 33.3% | 15.0% | 94.7% | 109.7 | LUCKY |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 1 | 0 | 1 | 0 | 24 | 6 | 10 | 8 | 0 | 18 | 8 | 10 | 19 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 21 | 13 | 24 | 8 | 14 | 6 | 100.0% | 8.3% | 100.0% | 108.3 | DULL |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 23 | 6 | 10 | 7 | 0 | 30 | 8 | 10 | 20 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 24 | 16 | 22 | 7 | 12 | 6 | 75.0% | 13.0% | 96.7% | 109.7 | LUCKY |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 24 | 6 | 11 | 7 | 0 | 21 | 10 | 19 | 23 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 23 | 14 | 23 | 7 | 13 | 7 | 33.3% | 4.2% | 85.7% | 89.9 | Unlucky |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 19 | 9 | 4 | 6 | 0 | 42 | 11 | 14 | 21 | 3 | 1 | 33.33% | 7 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 22 | 15 | 24 | 6 | 12 | 5 | 16.7% | 10.5% | 88.1% | 98.6 | FUN |
7 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 1 | 3 | 0 | 0 | 39 | 11 | 18 | 10 | 0 | 61 | 22 | 18 | 38 | 5 | 2 | 40.00% | 9 | 3 | 66.67% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 43 | 27 | 49 | 16 | 27 | 13 | 40.0% | 10.3% | 90.2% | 100.4 | FUN |
8 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 5 | 9 | 0 | 1 | 1 | 0 | 2 | 2 | 55 | 17 | 21 | 16 | 3 | 44 | 7 | 18 | 46 | 7 | 2 | 28.57% | 7 | 2 | 71.43% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 50 | 35 | 47 | 13 | 27 | 14 | 100.0% | 7.3% | 95.5% | 102.7 | DULL |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 28 | 8 | 11 | 9 | 0 | 19 | 8 | 2 | 22 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 25 | 19 | 22 | 6 | 12 | 5 | 66.7% | 14.3% | 94.7% | 109.0 | LUCKY |
10 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 25 | 6 | 13 | 6 | 0 | 13 | 3 | 6 | 13 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 25 | 17 | 21 | 8 | 13 | 6 | 75.0% | 12.0% | 92.3% | 104.3 | LUCKY |
11 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 48 | 17 | 14 | 17 | 0 | 45 | 5 | 19 | 50 | 11 | 2 | 18.18% | 7 | 1 | 85.71% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 50 | 34 | 44 | 14 | 25 | 12 | 20.0% | 6.3% | 88.9% | 95.1 | Unlucky |
12 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 11 | 11 | 6 | 0 | 22 | 7 | 10 | 23 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 23 | 16 | 23 | 8 | 12 | 5 | 50.0% | 3.6% | 90.9% | 94.5 | Unlucky |
13 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 18 | 5 | 9 | 4 | 0 | 33 | 7 | 18 | 22 | 3 | 1 | 33.33% | 9 | 2 | 77.78% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 21 | 13 | 26 | 8 | 12 | 5 | 50.0% | 11.1% | 90.9% | 102.0 | FUN |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 28 | 7 | 12 | 9 | 0 | 23 | 6 | 6 | 24 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 27 | 19 | 20 | 6 | 12 | 6 | nan% | 3.6% | 100.0% | 103.6 | DULL |
15 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 22 | 5 | 13 | 4 | 0 | 17 | 3 | 15 | 28 | 7 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 27 | 17 | 18 | 8 | 14 | 7 | 100.0% | 4.5% | 100.0% | 104.5 | DULL |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 27 | 8 | 15 | 4 | 0 | 23 | 9 | 10 | 19 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 24 | 16 | 21 | 7 | 13 | 6 | 40.0% | 7.4% | 82.6% | 90.0 | Unlucky |
17 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 0 | 2 | 42 | 12 | 14 | 13 | 6 | 33 | 9 | 10 | 18 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 26 | 19 | 25 | 8 | 13 | 6 | 66.7% | 7.1% | 93.9% | 101.1 | DULL |
18 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 23 | 7 | 6 | 10 | 0 | 25 | 9 | 6 | 19 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 21 | 14 | 24 | 8 | 13 | 6 | 25.0% | 8.7% | 88.0% | 96.7 | Unlucky |
19 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 1 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 32 | 15 | 6 | 11 | 0 | 17 | 4 | 8 | 10 | 10 | 1 | 10.00% | 4 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 25 | 17 | 21 | 7 | 12 | 6 | nan% | 3.1% | 100.0% | 103.1 | DULL |
20 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 28 | 10 | 5 | 13 | 0 | 33 | 7 | 14 | 14 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 26 | 18 | 21 | 7 | 12 | 6 | 100.0% | 10.7% | 97.0% | 107.7 | LUCKY |
21 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 30 | 7 | 11 | 12 | 0 | 43 | 6 | 10 | 27 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 23 | 16 | 22 | 7 | 13 | 6 | 28.6% | 10.0% | 88.4% | 98.4 | FUN |
22 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 3 | 4 | 3 | 0 | 82 | 23 | 32 | 27 | 0 | 78 | 27 | 28 | 65 | 12 | 3 | 25.00% | 14 | 4 | 71.43% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 74 | 50 | 69 | 22 | 36 | 18 | 77.8% | 12.2% | 92.3% | 104.5 | LUCKY |
_Vs Division | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 23 | 16 | 7 | 10 | 0.625 | 23 | 44 | 67 | 0 | 1 | 5 | 8 | 10 | 0 | 205 | 54 | 89 | 62 | 0 | 203 | 54 | 79 | 177 | 34 | 7 | 20.59% | 37 | 6 | 83.78% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 198 | 133 | 180 | 61 | 101 | 50 | 61.5% | 11.2% | 92.1% | 103.3 | LUCKY | |
_Vs Conference | 17 | 9 | 7 | 0 | 0 | 0 | 1 | 0 | 39 | 32 | 7 | 20 | 0.588 | 39 | 70 | 109 | 0 | 3 | 11 | 16 | 11 | 2 | 450 | 137 | 169 | 141 | 6 | 437 | 114 | 164 | 354 | 77 | 15 | 19.48% | 74 | 13 | 82.43% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 422 | 287 | 385 | 130 | 217 | 108 | 55.8% | 8.7% | 92.7% | 101.3 | DULL | |
_Since Last GM Reset | 27 | 14 | 11 | 0 | 0 | 0 | 2 | 0 | 62 | 54 | 8 | 32 | 0.593 | 62 | 109 | 171 | 0 | 5 | 20 | 21 | 19 | 4 | 695 | 214 | 262 | 215 | 9 | 702 | 195 | 269 | 562 | 117 | 23 | 19.66% | 119 | 18 | 84.87% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 659 | 446 | 619 | 205 | 350 | 175 | 52.0% | 8.9% | 92.3% | 101.2 | Unlucky | |
Total | 27 | 14 | 11 | 0 | 0 | 0 | 2 | 0 | 62 | 54 | 8 | 32 | 0.593 | 62 | 109 | 171 | 0 | 5 | 20 | 21 | 19 | 4 | 695 | 214 | 262 | 215 | 9 | 702 | 195 | 269 | 562 | 117 | 23 | 19.66% | 119 | 18 | 84.87% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 659 | 446 | 619 | 205 | 350 | 175 | 52.0% | 8.9% | 92.3% | 101.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 901 |
Neutral Zone Start | 396 |
Defensive Zone Start | 884 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1154 |
Faceoffs Lost | 1027 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.9 | 9.57 |
2nd Period | 17.6 | 20.31 |
3rd Period | 25.6 | 30.68 |
Overtime | 25.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 39 |
---|---|
PP Goal | 23 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 8 | 8 |
Lost | 6 | 5 |
Overtime Lost | 0 | 0 |
PP Attempt | 117 |
---|---|
PP Goal | 23 |
PK Attempt | 119 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 25.7 |
Shots Against | 26.0 |
Goals For | 2.3 |
Goals Against | 2.0 |
Hits | 20.8 |
Shots Blocked | 7.2 |
Pim | 10.0 |
![]() | |
Projected Total Cap Hit | 79,767,856$ |
Projected Cap Space | 2,732,144$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 25,272,504$ |
Players In Salary Cap | 23 |
Contracts | 52/50 |
LTIR Players | 0 |
Kings Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Pietrangelo ![]() | D | 33 | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | 8,800,000$ | UFA | ||
Cal Clutterbuck ![]() | RW | 36 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Cal Foote ![]() | D | 24 | 850,000$ | 850,000$ | 800,000$ | ![]() | |||||
Claude Giroux ![]() | C/LW/RW | 35 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Colton Parayko ![]() | D | 30 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ |
Daniil Miromanov ![]() | D | 26 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
David Kampf ![]() | C/LW/RW | 28 | 1,500,000$ | 1,500,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | UFA | ||
Denis Malgin ![]() | C | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Jacob MacDonald ![]() | D | 30 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Jake Evans ![]() | C/RW | 27 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | ||||
Jimmy Vesey ![]() | LW/RW | 30 | 750,000$ | 750,000$ | 800,000$ | 800,000$ | UFA | ||||
Johnny Gaudreau ![]() | LW | 30 | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | UFA |
Karel Vejmelka ![]() | G | 27 | 2,725,000$ | 2,725,000$ | 2,725,000$ | 2,725,000$ | UFA | ||||
Kevin Lankinen ![]() | G | 28 | 1,500,000$ | 1,500,000$ | 2,000,000$ | UFA | |||||
Kyle Connor ![]() | LW | 27 | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA | |||
Nick Blankenburg ![]() | D | 25 | 825,000$ | 825,000$ | 825,000$ | ![]() | |||||
Pierre-Edouard Bellemare ![]() | C/LW | 38 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Scott Mayfield ![]() | D | 31 | 1,450,000$ | 1,450,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ |
Teddy Blueger ![]() | C/LW | 29 | 2,200,000$ | 2,200,000$ | 1,900,000$ | UFA | |||||
Trevor Moore ![]() | C/LW/RW | 28 | 1,875,000$ | 1,875,000$ | 4,200,000$ | 4,200,000$ | 4,200,000$ | 4,200,000$ | 4,200,000$ | UFA | |
William Karlsson ![]() | C | 30 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA | |||
Yanni Gourde ![]() | C/LW/RW | 31 | 5,166,666$ | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA | ||||
Zach Werenski ![]() | D | 26 | 9,583,333$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Austin Poganski ![]() | RW | 27 | 750,000$ | 750,000$ | UFA | ||||||
Ben Gleason ![]() | D | 25 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Brett Harrison ![]() | C | 20 | 902,500$ | 902,500$ | 902,500$ | 902,500$ | 902,500$ | RFA | |||
C.J. Smith ![]() | LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Carl Dahlstrom ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Chase Pearson ![]() | C/LW | 26 | 917,831$ | 917,831$ | ![]() | ||||||
Cole Koepke ![]() | LW/RW | 25 | 925,000$ | 925,000$ | 775,000$ | ![]() | |||||
Dan Renouf ![]() | D | 29 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Egor Sokolov ![]() | LW/RW | 23 | 850,000$ | 850,000$ | 775,000$ | ![]() | |||||
Evan Cormier ![]() | G | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Evan Polei ![]() | C/LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Graham McPhee ![]() | C/LW | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Hugh McGing ![]() | C/LW | 25 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Jack Thompson ![]() | D | 21 | 902,500$ | 902,500$ | 902,500$ | RFA | |||||
Jackson Cates ![]() | C | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Jacob Friend ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Jacob Pivonka ![]() | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Jean-Luc Foudy ![]() | C | 21 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Josh Davies ![]() | C/LW | 19 | 750,000$ | 750,000$ | RFA | ||||||
Luke Hughes ![]() | D | 20 | 1,850,000$ | 1,850,000$ | 1,850,000$ | RFA | |||||
Otto Leskinen ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Parker Bell ![]() | C/LW | 20 | 750,000$ | 750,000$ | RFA | ||||||
Parker Wotherspoon ![]() | D | 26 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Rory Kerins ![]() | C/LW | 21 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Shane Gersich ![]() | C/LW | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Troy Grosenick ![]() | G | 34 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Ville Ottavainen ![]() | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | |||
Wyatte Wylie ![]() | D | 24 | 875,000$ | 875,000$ | RFA | ||||||
Yaroslav Askarov ![]() | G | 21 | 1,775,000$ | 1,775,000$ | 1,775,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 30 | 9 | 10 | 11 | 0 | 24 | 8 | 12 | 22 | 7 | 2 | 28.57% | 5 | 1 | 80.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 26 | 17 | 21 | 7 | 12 | 6 | 66.7% | 13.3% | 91.7% | 105.0 | LUCKY |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 20 | 9 | 6 | 5 | 0 | 38 | 11 | 6 | 19 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 22 | 15 | 25 | 8 | 12 | 6 | 33.3% | 15.0% | 94.7% | 109.7 | LUCKY |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 1 | 0 | 1 | 0 | 24 | 6 | 10 | 8 | 0 | 18 | 8 | 10 | 19 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 21 | 13 | 24 | 8 | 14 | 6 | 100.0% | 8.3% | 100.0% | 108.3 | DULL |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 23 | 6 | 10 | 7 | 0 | 30 | 8 | 10 | 20 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 24 | 16 | 22 | 7 | 12 | 6 | 75.0% | 13.0% | 96.7% | 109.7 | LUCKY |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 24 | 6 | 11 | 7 | 0 | 21 | 10 | 19 | 23 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 23 | 14 | 23 | 7 | 13 | 7 | 33.3% | 4.2% | 85.7% | 89.9 | Unlucky |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 19 | 9 | 4 | 6 | 0 | 42 | 11 | 14 | 21 | 3 | 1 | 33.33% | 7 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 22 | 15 | 24 | 6 | 12 | 5 | 16.7% | 10.5% | 88.1% | 98.6 | FUN |
7 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 1 | 3 | 0 | 0 | 39 | 11 | 18 | 10 | 0 | 61 | 22 | 18 | 38 | 5 | 2 | 40.00% | 9 | 3 | 66.67% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 43 | 27 | 49 | 16 | 27 | 13 | 40.0% | 10.3% | 90.2% | 100.4 | FUN |
8 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 5 | 9 | 0 | 1 | 1 | 0 | 2 | 2 | 55 | 17 | 21 | 16 | 3 | 44 | 7 | 18 | 46 | 7 | 2 | 28.57% | 7 | 2 | 71.43% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 50 | 35 | 47 | 13 | 27 | 14 | 100.0% | 7.3% | 95.5% | 102.7 | DULL |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 28 | 8 | 11 | 9 | 0 | 19 | 8 | 2 | 22 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 25 | 19 | 22 | 6 | 12 | 5 | 66.7% | 14.3% | 94.7% | 109.0 | LUCKY |
10 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 25 | 6 | 13 | 6 | 0 | 13 | 3 | 6 | 13 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 25 | 17 | 21 | 8 | 13 | 6 | 75.0% | 12.0% | 92.3% | 104.3 | LUCKY |
11 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 48 | 17 | 14 | 17 | 0 | 45 | 5 | 19 | 50 | 11 | 2 | 18.18% | 7 | 1 | 85.71% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 50 | 34 | 44 | 14 | 25 | 12 | 20.0% | 6.3% | 88.9% | 95.1 | Unlucky |
12 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 11 | 11 | 6 | 0 | 22 | 7 | 10 | 23 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 23 | 16 | 23 | 8 | 12 | 5 | 50.0% | 3.6% | 90.9% | 94.5 | Unlucky |
13 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 18 | 5 | 9 | 4 | 0 | 33 | 7 | 18 | 22 | 3 | 1 | 33.33% | 9 | 2 | 77.78% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 21 | 13 | 26 | 8 | 12 | 5 | 50.0% | 11.1% | 90.9% | 102.0 | FUN |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 28 | 7 | 12 | 9 | 0 | 23 | 6 | 6 | 24 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 27 | 19 | 20 | 6 | 12 | 6 | nan% | 3.6% | 100.0% | 103.6 | DULL |
15 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 22 | 5 | 13 | 4 | 0 | 17 | 3 | 15 | 28 | 7 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 27 | 17 | 18 | 8 | 14 | 7 | 100.0% | 4.5% | 100.0% | 104.5 | DULL |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 27 | 8 | 15 | 4 | 0 | 23 | 9 | 10 | 19 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 24 | 16 | 21 | 7 | 13 | 6 | 40.0% | 7.4% | 82.6% | 90.0 | Unlucky |
17 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 0 | 2 | 42 | 12 | 14 | 13 | 6 | 33 | 9 | 10 | 18 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 26 | 19 | 25 | 8 | 13 | 6 | 66.7% | 7.1% | 93.9% | 101.1 | DULL |
18 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 23 | 7 | 6 | 10 | 0 | 25 | 9 | 6 | 19 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 21 | 14 | 24 | 8 | 13 | 6 | 25.0% | 8.7% | 88.0% | 96.7 | Unlucky |
19 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 1 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 32 | 15 | 6 | 11 | 0 | 17 | 4 | 8 | 10 | 10 | 1 | 10.00% | 4 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 25 | 17 | 21 | 7 | 12 | 6 | nan% | 3.1% | 100.0% | 103.1 | DULL |
20 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 28 | 10 | 5 | 13 | 0 | 33 | 7 | 14 | 14 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 26 | 18 | 21 | 7 | 12 | 6 | 100.0% | 10.7% | 97.0% | 107.7 | LUCKY |
21 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 30 | 7 | 11 | 12 | 0 | 43 | 6 | 10 | 27 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 23 | 16 | 22 | 7 | 13 | 6 | 28.6% | 10.0% | 88.4% | 98.4 | FUN |
22 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 3 | 4 | 3 | 0 | 82 | 23 | 32 | 27 | 0 | 78 | 27 | 28 | 65 | 12 | 3 | 25.00% | 14 | 4 | 71.43% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 74 | 50 | 69 | 22 | 36 | 18 | 77.8% | 12.2% | 92.3% | 104.5 | LUCKY |
_Vs Division | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 23 | 16 | 7 | 10 | 0.625 | 23 | 44 | 67 | 0 | 1 | 5 | 8 | 10 | 0 | 205 | 54 | 89 | 62 | 0 | 203 | 54 | 79 | 177 | 34 | 7 | 20.59% | 37 | 6 | 83.78% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 198 | 133 | 180 | 61 | 101 | 50 | 61.5% | 11.2% | 92.1% | 103.3 | LUCKY | |
_Vs Conference | 17 | 9 | 7 | 0 | 0 | 0 | 1 | 0 | 39 | 32 | 7 | 20 | 0.588 | 39 | 70 | 109 | 0 | 3 | 11 | 16 | 11 | 2 | 450 | 137 | 169 | 141 | 6 | 437 | 114 | 164 | 354 | 77 | 15 | 19.48% | 74 | 13 | 82.43% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 422 | 287 | 385 | 130 | 217 | 108 | 55.8% | 8.7% | 92.7% | 101.3 | DULL | |
_Since Last GM Reset | 27 | 14 | 11 | 0 | 0 | 0 | 2 | 0 | 62 | 54 | 8 | 32 | 0.593 | 62 | 109 | 171 | 0 | 5 | 20 | 21 | 19 | 4 | 695 | 214 | 262 | 215 | 9 | 702 | 195 | 269 | 562 | 117 | 23 | 19.66% | 119 | 18 | 84.87% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 659 | 446 | 619 | 205 | 350 | 175 | 52.0% | 8.9% | 92.3% | 101.2 | Unlucky | |
Total | 27 | 14 | 11 | 0 | 0 | 0 | 2 | 0 | 62 | 54 | 8 | 32 | 0.593 | 62 | 109 | 171 | 0 | 5 | 20 | 21 | 19 | 4 | 695 | 214 | 262 | 215 | 9 | 702 | 195 | 269 | 562 | 117 | 23 | 19.66% | 119 | 18 | 84.87% | 0 | 478 | 901 | 53.05% | 464 | 884 | 52.49% | 212 | 396 | 53.54% | 659 | 446 | 619 | 205 | 350 | 175 | 52.0% | 8.9% | 92.3% | 101.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 901 |
Neutral Zone Start | 396 |
Defensive Zone Start | 884 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1154 |
Faceoffs Lost | 1027 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.9 | 9.57 |
2nd Period | 17.6 | 20.31 |
3rd Period | 25.6 | 30.68 |
Overtime | 25.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.2 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 39 |
---|---|
PP Goal | 23 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 8 | 8 |
Lost | 6 | 5 |
Overtime Lost | 0 | 0 |
PP Attempt | 117 |
---|---|
PP Goal | 23 |
PK Attempt | 119 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 25.7 |
Shots Against | 26.0 |
Goals For | 2.3 |
Goals Against | 2.0 |
Hits | 20.8 |
Shots Blocked | 7.2 |
Pim | 10.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tue, Oct 17 | ![]() | @ | ![]() | VGK5,LAK3 | RECAP | |||||||||
Thu, Oct 19 | ![]() | @ | ![]() | KRA1,LAK4 | RECAP | |||||||||
Sat, Oct 21 | ![]() | @ | ![]() | LAK1,MIN4 | RECAP | |||||||||
Mon, Oct 23 | ![]() | @ | ![]() | LAK3,DET2 (SO) | RECAP | |||||||||
Tue, Oct 24 | ![]() | @ | ![]() | LAK1,NAS0 | RECAP | |||||||||
Thu, Oct 26 | ![]() | @ | ![]() | LAK2,PIT4 | RECAP | |||||||||
Sat, Oct 28 | ![]() | @ | ![]() | LAK3,WAS1 | RECAP | |||||||||
Tue, Oct 31 | ![]() | @ | ![]() | TAM3,LAK2 | RECAP | |||||||||
Thu, Nov 2 | ![]() | @ | ![]() | WIN1,LAK3 | RECAP | |||||||||
Sat, Nov 4 | ![]() | @ | ![]() | TOR2,LAK3 | RECAP | |||||||||
Mon, Nov 6 | ![]() | @ | ![]() | LAK1,STL2 | RECAP | |||||||||
Tue, Nov 7 | ![]() | @ | ![]() | LAK1,DAL0 | RECAP | |||||||||
Thu, Nov 9 | ![]() | @ | ![]() | LAK2,CHI3 | RECAP | |||||||||
Sat, Nov 11 | ![]() | @ | ![]() | FLO2,LAK4 | RECAP | |||||||||
Tue, Nov 14 | ![]() | @ | ![]() | MIN1,LAK2 | RECAP | |||||||||
Thu, Nov 16 | ![]() | @ | ![]() | CHI3,LAK2 | RECAP | |||||||||
Sat, Nov 18 | ![]() | @ | ![]() | DET0,LAK1 | RECAP | |||||||||
Mon, Nov 20 | ![]() | @ | ![]() | LAK2,CAL3 | RECAP | |||||||||
Wed, Nov 22 | ![]() | @ | ![]() | LAK3,EDM1 | RECAP | |||||||||
Fri, Nov 24 | ![]() | @ | ![]() | LAK1,VAN0 | RECAP | |||||||||
Sat, Nov 25 | ![]() | @ | ![]() | LAK5,KRA2 | RECAP | |||||||||
Tue, Nov 28 | ![]() | @ | ![]() | NYR5,LAK2 | RECAP | |||||||||
Fri, Dec 1 | ![]() | @ | ![]() | LAK4,SAN1 | RECAP | |||||||||
Sun, Dec 3 | ![]() | @ | ![]() | OTT0,LAK2 | RECAP | |||||||||
Tue, Dec 5 | ![]() | @ | ![]() | KRA3,LAK1 | RECAP | |||||||||
Thu, Dec 7 | ![]() | @ | ![]() | ARI2,LAK3 (SO) | RECAP | |||||||||
Sat, Dec 9 | ![]() | @ | ![]() | CAR3,LAK1 | RECAP | |||||||||
Tue, Dec 12 | ![]() | @ | ![]() | |||||||||||
Thu, Dec 14 | ![]() | @ | ![]() | |||||||||||
Sat, Dec 16 | ![]() | @ | ![]() | |||||||||||
Sun, Dec 17 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 19 | ![]() | @ | ![]() | |||||||||||
Thu, Dec 21 | ![]() | @ | ![]() | |||||||||||
Sat, Dec 23 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 26 | ![]() | @ | ![]() | |||||||||||
Thu, Dec 28 | ![]() | @ | ![]() | |||||||||||
Fri, Dec 29 | ![]() | @ | ![]() | |||||||||||
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Thu, Jan 4 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 6 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 9 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 11 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 13 | ![]() | @ | ![]() | |||||||||||
Mon, Jan 15 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 17 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 20 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 25 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 27 | ![]() | @ | ![]() | |||||||||||
Sun, Jan 28 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 30 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 2 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 3 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 6 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 17 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 19 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 23 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 24 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 27 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 29 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 1 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Sun, Mar 3 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 5 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 7 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 9 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 11 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 14 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 16 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 19 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 21 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 23 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 25 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 30 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 31 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 2 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 4 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 6 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 7 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 9 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 11 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 13 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 15 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 18 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,767,856$ | 0$ | 79,767,856$ | 2,732,144$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Golden 1 Center | |
City | Los Angeles | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
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![]() |
![]() |
Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 65$ | 45$ | 35$ | 25$ | 110$ |
Attendance | 68644 | 54783 | 39015 | 43355 | 13890 |
Attendance PCT | 98.06% | 97.83% | 92.89% | 77.42% | 99.21% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
27 | 15692 - 92.31% | 1,160,539$ | 16,247,548$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,767,856$ | 79,767,856$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
25,272,504$ | 79,767,856$ | 25,272,504$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
31,334,557$ | 130 | 422,052$ | 54,866,760$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
56,601,870$ | 79,767,856$ | 18,726,018$ | -4,554,971$ |
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 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Benjamin Roger | ![]() | 2022 | 104 | Link | |
Chase Stillman | ![]() | 2022 | 51 | Link | |
Conor Geekie | ![]() | 2023 | 26 | Link | |
Elias Salomonsson | ![]() | 2023 | 56 | Link | |
Ethan Cardwell | ![]() | 2022 | 110 | Link | |
Gustav Karlsson | ![]() | 2023 | 202 | Link | |
Jackson Edward | ![]() | 2023 | 185 | Link | |
Jake Chiasson | ![]() | 2022 | 115 | Link | |
Jakov Novak | ![]() | 2019 | 202 | Link | |
Josh Pillar | ![]() | 2022 | 158 | Link | |
Kevin Reidler | ![]() | 2023 | 141 | Link | |
Klimentii Shindyaev | ![]() | 2023 | 219 | Link | |
Linus Oberg | ![]() | 2021 | 179 | Link | |
Marek Alscher | ![]() | 2023 | 123 | Link | |
Reid Dyck | ![]() | 2023 | 182 | Link | |
Tyson Hinds | ![]() | 2022 | 114 | Link | |
Vinzenz Rohrer | ![]() | 2023 | 65 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | ![]() | ![]() | ![]() | ||||
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Benjamin Roger | ![]() | 2022 | 104 | Link | |
Chase Stillman | ![]() | 2022 | 51 | Link | |
Conor Geekie | ![]() | 2023 | 26 | Link | |
Elias Salomonsson | ![]() | 2023 | 56 | Link | |
Ethan Cardwell | ![]() | 2022 | 110 | Link | |
Gustav Karlsson | ![]() | 2023 | 202 | Link | |
Jackson Edward | ![]() | 2023 | 185 | Link | |
Jake Chiasson | ![]() | 2022 | 115 | Link | |
Jakov Novak | ![]() | 2019 | 202 | Link | |
Josh Pillar | ![]() | 2022 | 158 | Link | |
Kevin Reidler | ![]() | 2023 | 141 | Link | |
Klimentii Shindyaev | ![]() | 2023 | 219 | Link | |
Linus Oberg | ![]() | 2021 | 179 | Link | |
Marek Alscher | ![]() | 2023 | 123 | Link | |
Reid Dyck | ![]() | 2023 | 182 | Link | |
Tyson Hinds | ![]() | 2022 | 114 | Link | |
Vinzenz Rohrer | ![]() | 2023 | 65 | Link |
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