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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Lethbridge Mavericks 6-4-1, 13pts · 7th in Canadian Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 11 | LW/RW | 100.00 | 69 | 42 | 90 | 80 | 66 | 73 | 71 | 87 | 33 | 79 | 88 | 73 | 25 | 54 | 54 | 84 | 75 | 81 | 21 | 875,000$/1yrs | |||
![]() | 9 | C/RW | 100.00 | 63 | 41 | 91 | 88 | 69 | 74 | 93 | 80 | 88 | 83 | 82 | 66 | 76 | 85 | 87 | 82 | 75 | 78 | 33 | 5,000,000$/2yrs | |||
![]() | 53 | C/LW | 100.00 | 63 | 41 | 86 | 83 | 69 | 72 | 94 | 84 | 43 | 75 | 83 | 62 | 40 | 85 | 85 | 80 | 75 | 76 | 32 | 7,000,000$/1yrs | |||
![]() | 7 | C/RW | 100.00 | 63 | 51 | 92 | 80 | 68 | 76 | 97 | 83 | 40 | 77 | 73 | 67 | 65 | 85 | 89 | 75 | 75 | 74 | 34 | 5,500,000$/1yrs | |||
![]() | 96 | LW | 100.00 | 59 | 41 | 94 | 81 | 69 | 68 | 94 | 87 | 25 | 76 | 82 | 59 | 80 | 60 | 60 | 79 | 75 | 74 | 28 | 5,000,000$/1yrs | |||
![]() | 14 | C | 100.00 | 71 | 54 | 88 | 77 | 79 | 77 | 58 | 82 | 94 | 78 | 68 | 75 | 61 | 80 | 82 | 72 | 75 | 73 | 31 | 3,900,000$/2yrs | |||
![]() | 91 | C/RW | 100.00 | 65 | 42 | 90 | 82 | 73 | 78 | 65 | 80 | 73 | 75 | 73 | 68 | 75 | 49 | 49 | 74 | 75 | 73 | 19 | 875,000$/2yrs | |||
![]() | 20 | C | 100.00 | 69 | 43 | 88 | 79 | 76 | 72 | 99 | 75 | 89 | 65 | 71 | 87 | 62 | 85 | 90 | 68 | 75 | 72 | 35 | 2,000,000$/1yrs | |||
![]() | 19 | C | 100.00 | 78 | 44 | 89 | 83 | 72 | 70 | 63 | 81 | 73 | 75 | 75 | 62 | 25 | 48 | 48 | 75 | 75 | 72 | 19 | 875,000$/2yrs | |||
![]() | 21 | C/LW | 100.00 | 90 | 95 | 76 | 79 | 77 | 65 | 98 | 67 | 54 | 72 | 73 | 71 | 25 | 65 | 66 | 73 | 75 | 72 | 26 | 2,300,000$/2yrs | |||
![]() | 74 | C/LW | 100.00 | 86 | 68 | 74 | 75 | 82 | 59 | 68 | 72 | 56 | 63 | 78 | 72 | 25 | 52 | 52 | 72 | 75 | 71 | 28 | 450,000$/2yrs | |||
![]() | 10 | C/RW | 100.00 | 71 | 42 | 96 | 77 | 66 | 56 | 92 | 64 | 78 | 60 | 58 | 84 | 75 | 73 | 75 | 59 | 75 | 64 | 37 | 1,100,000$/1yrs | |||
![]() | 8 | D | 100.00 | 78 | 44 | 84 | 83 | 74 | 95 | 99 | 87 | 25 | 69 | 60 | 85 | 47 | 90 | 91 | 79 | 75 | 83 | 34 | 11,000,000$/1yrs | |||
![]() | 4 | D | 100.00 | 92 | 56 | 78 | 83 | 69 | 81 | 99 | 78 | 25 | 66 | 48 | 84 | 75 | 70 | 71 | 73 | 75 | 78 | 28 | 5,875,000$/2yrs | |||
![]() | 27 | D | 100.00 | 65 | 42 | 87 | 83 | 77 | 84 | 90 | 68 | 25 | 68 | 48 | 89 | 25 | 82 | 91 | 68 | 75 | 77 | 35 | 3,400,000$/2yrs | |||
![]() | 3 | D | 100.00 | 99 | 88 | 49 | 75 | 76 | 78 | 86 | 64 | 25 | 53 | 50 | 96 | 25 | 77 | 80 | 59 | 75 | 74 | 34 | 2,100,000$/2yrs | |||
![]() | 28 | D | 100.00 | 76 | 68 | 78 | 74 | 81 | 76 | 95 | 64 | 25 | 50 | 48 | 92 | 25 | 80 | 85 | 58 | 75 | 72 | 35 | 2,250,000$/1yrs | |||
![]() | 72 | D | 100.00 | 75 | 45 | 87 | 81 | 84 | 75 | 91 | 64 | 25 | 52 | 48 | 88 | 75 | 68 | 70 | 59 | 75 | 71 | 29 | 2,250,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 13 | C/LW | 100.00 | 61 | 41 | 86 | 80 | 72 | 73 | 88 | 64 | 74 | 62 | 60 | 77 | 71 | 79 | 84 | 61 | 75 | 65 | 36 | 1,050,000$/2yrs | |||
![]() | 15 | C/RW | 100.00 | 69 | 53 | 86 | 79 | 76 | 56 | 87 | 66 | 31 | 61 | 68 | 70 | 53 | 83 | 86 | 65 | 75 | 65 | 34 | 500,000$/2yrs | |||
![]() | 62 | C/RW | 100.00 | 92 | 57 | 88 | 76 | 68 | 62 | 79 | 66 | 35 | 63 | 59 | 74 | 25 | 65 | 66 | 61 | 75 | 64 | 28 | 625,000$/1yrs | |||
![]() | 17 | C | 100.00 | 75 | 43 | 92 | 82 | 67 | 57 | 87 | 64 | 58 | 57 | 58 | 70 | 75 | 69 | 72 | 58 | 75 | 60 | 26 | 1,000,000$/1yrs | |||
![]() | 56 | D | 100.00 | 71 | 53 | 86 | 81 | 72 | 72 | 90 | 70 | 25 | 65 | 49 | 66 | 75 | 71 | 73 | 68 | 75 | 68 | 32 | 825,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 74 | 52 | 85 | 80 | 73 | 72 | 86 | 74 | 49 | 67 | 65 | 76 | 52 | 72 | 74 | 70 | 75 | 72 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 33 | 100.00 | 71 | 61 | 61 | 86 | 72 | 69 | 81 | 73 | 79 | 71 | 95 | 59 | 60 | 82 | 75 | 77 | 28 | 4,900,000$/3yrs |
![]() | 31 | 100.00 | 69 | 65 | 66 | 80 | 78 | 59 | 69 | 70 | 69 | 68 | 90 | 70 | 71 | 78 | 75 | 75 | 34 | 2,900,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 63 | 64 | 83 | 75 | 64 | 75 | 72 | 74 | 70 | 93 | 65 | 66 | 80 | 75 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | UHL (Moniz) |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Neal Pionk | ![]() | 4 | D | 11 | 3 | 10 | 13 | 1 | 17 | 5 | 18 | 15 | 3 | 14 | 20.00% | 9 | 21.18 | 2 | 1 | 3 | 0 | 0 | 0 | 16 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.12 | 0 | 0 |
2 | Matt Duchene | ![]() | 9 | C/RW | 11 | 4 | 6 | 10 | -1 | 6 | 0 | 11 | 32 | 10 | 18 | 12.50% | 1 | 16.42 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 57.84% | 268 | 0 | 0 | 0 | 0 | 1.11 | 0 | 0 |
3 | Drew Doughty | ![]() | 8 | D | 11 | 1 | 8 | 9 | 2 | 2 | 0 | 6 | 15 | 3 | 17 | 6.67% | 14 | 21.35 | 0 | 1 | 1 | 0 | 1 | 1 | 4 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 |
4 | Andrey Kuzmenko | ![]() | 96 | LW | 11 | 5 | 4 | 9 | 0 | 2 | 0 | 3 | 24 | 7 | 27 | 20.83% | 1 | 16.49 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 29.41% | 17 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 |
5 | Adam Fantilli | ![]() | 19 | C | 11 | 3 | 5 | 8 | -1 | 8 | 0 | 26 | 26 | 7 | 19 | 11.54% | 0 | 15.69 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 52.11% | 190 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 |
6 | Dylan Guenther | ![]() | 11 | LW/RW | 11 | 3 | 3 | 6 | -1 | 4 | 0 | 18 | 35 | 14 | 22 | 8.57% | 2 | 17.75 | 0 | 1 | 1 | 0 | 1 | 1 | 10 | 0 | 0 | 22.22% | 18 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 |
7 | Radko Gudas | ![]() | 3 | D | 11 | 0 | 5 | 5 | -1 | 16 | 0 | 41 | 7 | 2 | 5 | 0.00% | 15 | 17.54 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 |
8 | Lars Eller | ![]() | 20 | C | 11 | 4 | 0 | 4 | -2 | 0 | 0 | 4 | 14 | 1 | 15 | 28.57% | 2 | 13.01 | 0 | 0 | 0 | 1 | 0 | 1 | 38 | 1 | 0 | 54.14% | 181 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 |
9 | Jordan Eberle | ![]() | 7 | C/RW | 11 | 3 | 1 | 4 | 0 | 0 | 0 | 5 | 17 | 8 | 15 | 17.65% | 1 | 15.81 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 47.06% | 17 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 |
10 | Leo Carlsson | ![]() | 91 | C/RW | 11 | 1 | 3 | 4 | -2 | 2 | 0 | 4 | 28 | 9 | 36 | 3.57% | 0 | 15.82 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 21.43% | 14 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 |
11 | Sean Couturier | ![]() | 14 | C | 11 | 0 | 3 | 3 | -2 | 2 | 0 | 7 | 33 | 14 | 19 | 0.00% | 1 | 17.77 | 0 | 3 | 3 | 0 | 0 | 0 | 25 | 0 | 0 | 62.32% | 207 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 |
12 | Jeff Skinner | ![]() | 53 | C/LW | 11 | 2 | 1 | 3 | -2 | 0 | 0 | 7 | 30 | 8 | 15 | 6.67% | 0 | 16.38 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 46.15% | 13 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 |
13 | Trent Frederic | ![]() | 21 | C/LW | 11 | 1 | 2 | 3 | -3 | 4 | 0 | 31 | 10 | 2 | 8 | 10.00% | 1 | 11.06 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
14 | Ryan McDonagh | ![]() | 27 | D | 11 | 0 | 2 | 2 | -4 | 2 | 0 | 11 | 8 | 0 | 7 | 0.00% | 16 | 18.46 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 |
15 | Ian Cole | ![]() | 28 | D | 11 | 1 | 1 | 2 | -5 | 12 | 0 | 24 | 7 | 1 | 8 | 14.29% | 5 | 17.86 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 |
16 | Bobby McMann | ![]() | 74 | C/LW | 11 | 0 | 2 | 2 | 0 | 23 | 5 | 21 | 16 | 3 | 12 | 0.00% | 3 | 12.07 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 35.29% | 17 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 |
17 | Ryan Graves | ![]() | 72 | D | 11 | 1 | 1 | 2 | -1 | 0 | 0 | 0 | 5 | 1 | 1 | 20.00% | 14 | 17.41 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 |
18 | Derek Ryan | ![]() | 10 | C/RW | 11 | 0 | 0 | 0 | -3 | 2 | 0 | 1 | 6 | 0 | 10 | 0.00% | 2 | 12.17 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0 | 0 | 66.67% | 9 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 32 | 57 | 89 | -25 | 102 | 10 | 238 | 328 | 93 | 268 | 9.76% | 87 | 16.35 | 8 | 13 | 21 | 369 | 1 | 2 | 3 | 270 | 6 | 2 | 54.51% | 954 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie 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 | Adin Hill | ![]() | 9 | 5 | 2 | 1 | 0.895 | 2.98 | 503 | 0 | 0 | 25 | 238 | 0 | 0 | 0 | 0.000 | 0 | 8 | 3 | 0 | 0 | 0 |
2 | Martin Jones | ![]() | 3 | 1 | 2 | 0 | 0.878 | 3.38 | 160 | 0 | 0 | 9 | 74 | 0 | 0 | 0 | 0.000 | 0 | 3 | 8 | 0 | 0 | 0 |
Team Total or Average | 12 | 6 | 4 | 1 | 0.891 | 3.07 | 664 | 0 | 0 | 34 | 312 | 0 | 0 | 0 | 0.000 | 0 | 11 | 11 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.00 | -1.00 | 2 | 0.500 | 2.0 | 4.0 | 6.0 | 0 | 0 | 4 | 0 | 0 | 0 | 29.5 | 17 | 16 | 26 | 0 | 25.0 | 9.0 | 3.00 | 20.5 | 5.00 | 0.50 | 10.00% | 1.50 | 0.00 | 100.00% | 0 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 25.50 | 18.50 | 21.00 | 7.00 | 12.50 | 6.00 | 33.3% | 6.8% | 88.0% | 94.8 | Unlucky |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.50 | 2.00 | -0.50 | 2 | 0.500 | 1.5 | 3.0 | 4.5 | 0 | 0 | 0 | 1 | 2 | 0 | 27.0 | 20 | 16 | 18 | 0 | 21.0 | 3.0 | 10.00 | 20.5 | 4.00 | 0.50 | 12.50% | 5.00 | 0.00 | 100.00% | 0 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 24.50 | 16.00 | 21.50 | 7.50 | 13.50 | 7.00 | 33.3% | 5.6% | 90.5% | 96.0 | Unlucky |
3 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4.00 | 2.50 | 1.50 | 4 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 2 | 3 | 2 | 1 | 37.0 | 22 | 22 | 28 | 2 | 32.5 | 7.5 | 6.50 | 24.0 | 4.00 | 0.50 | 12.50% | 2.00 | 0.00 | 100.00% | 0 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 23.00 | 16.00 | 25.00 | 6.50 | 12.00 | 5.50 | 58.3% | 10.8% | 92.3% | 103.1 | LUCKY |
4 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 0 | 0 | 2 | 3 | 1 | 1 | 24.0 | 11 | 19 | 13 | 5 | 34.5 | 11.5 | 13.00 | 22.0 | 3.00 | 1.00 | 33.33% | 5.50 | 2.50 | 54.55% | 0 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 25.00 | 17.50 | 23.00 | 7.50 | 12.50 | 6.50 | 62.5% | 14.6% | 88.4% | 103.0 | FUN |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 4.00 | 0.00 | 2 | 0.500 | 4.0 | 7.0 | 11.0 | 0 | 0 | 3 | 2 | 3 | 0 | 34.5 | 23 | 24 | 22 | 0 | 25.5 | 7.0 | 11.50 | 25.0 | 4.00 | 1.00 | 25.00% | 2.00 | 0.00 | 100.00% | 1 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 24.00 | 16.50 | 22.00 | 7.00 | 13.50 | 6.50 | 42.9% | 11.6% | 84.3% | 95.9 | FUN |
6 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2.00 | 3.00 | -1.00 | 1 | 0.500 | 2.0 | 2.0 | 4.0 | 0 | 0 | 1 | 1 | 0 | 0 | 24.0 | 8 | 13 | 3 | 0 | 35.0 | 11.0 | 14.00 | 14.0 | 3.00 | 1.00 | 33.33% | 6.00 | 1.00 | 83.33% | 0 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 22.00 | 15.00 | 26.00 | 8.00 | 12.00 | 5.00 | 33.3% | 8.3% | 91.4% | 99.8 | DULL |
_Vs Division | 11 | 4 | 4 | 0 | 2 | 1 | 0 | 0 | 2.91 | 3.09 | -0.18 | 13 | 0.591 | 2.9 | 5.2 | 8.1 | 0 | 0 | 12 | 10 | 8 | 2 | 29.8 | 101 | 110 | 110 | 7 | 28.4 | 7.9 | 9.27 | 21.6 | 3.91 | 0.73 | 18.60% | 3.45 | 0.55 | 84.21% | 1 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 24.27 | 16.91 | 23.00 | 7.45 | 12.91 | 6.45 | 46.2% | 9.8% | 89.1% | 98.9 | FUN | |
_Vs Conference | 11 | 4 | 4 | 0 | 2 | 1 | 0 | 0 | 2.91 | 3.09 | -0.18 | 13 | 0.591 | 2.9 | 5.2 | 8.1 | 0 | 0 | 12 | 10 | 8 | 2 | 29.8 | 101 | 110 | 110 | 7 | 28.4 | 7.9 | 9.27 | 21.6 | 3.91 | 0.73 | 18.60% | 3.45 | 0.55 | 84.21% | 1 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 24.27 | 16.91 | 23.00 | 7.45 | 12.91 | 6.45 | 46.2% | 9.8% | 89.1% | 98.9 | FUN | |
_Since Last GM Reset | 11 | 4 | 4 | 0 | 2 | 1 | 0 | 0 | 2.91 | 3.09 | -0.18 | 13 | 0.591 | 2.9 | 5.2 | 8.1 | 0 | 0 | 12 | 10 | 8 | 2 | 29.8 | 101 | 110 | 110 | 7 | 28.4 | 7.9 | 9.27 | 21.6 | 3.91 | 0.73 | 18.60% | 3.45 | 0.55 | 84.21% | 1 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 24.27 | 16.91 | 23.00 | 7.45 | 12.91 | 6.45 | 46.2% | 9.8% | 89.1% | 98.9 | FUN | |
Total | 11 | 4 | 4 | 0 | 2 | 1 | 0 | 0 | 2.91 | 3.09 | -0.18 | 13 | 0.591 | 2.9 | 5.2 | 8.1 | 0 | 0 | 12 | 10 | 8 | 2 | 29.8 | 101 | 110 | 110 | 7 | 28.4 | 7.9 | 9.27 | 21.6 | 3.91 | 0.73 | 18.60% | 3.45 | 0.55 | 84.21% | 1 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 24.27 | 16.91 | 23.00 | 7.45 | 12.91 | 6.45 | 46.2% | 9.8% | 89.1% | 98.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 386 |
Neutral Zone Start | 186 |
Defensive Zone Start | 372 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 520 |
Faceoffs Lost | 424 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 29.2 | 30.68 |
Overtime | 29.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 23 |
---|---|
PP Goal | 8 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 2 |
Lost | 1 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 43 |
---|---|
PP Goal | 8 |
PK Attempt | 38 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 29.8 |
Shots Against | 28.4 |
Goals For | 2.9 |
Goals Against | 3.1 |
Hits | 21.6 |
Shots Blocked | 7.9 |
Pim | 9.3 |
![]() | |
Total Salaries | 73,550,000$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 54 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 20 |
LTIR Players | 0 |
Mavericks Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fantilli | C | 19 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Adin Hill | G | 28 | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | UFA | ||||
Andrey Kuzmenko | LW | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||||
Bobby McMann | C/LW | 28 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | |||||
Craig Smith | C/RW | 34 | 500,000$ | 500,000$ | 500,000$ | 500,000$ | UFA | |||||
Derek Ryan | C/RW | 37 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||||
Drew Doughty | D | 34 | 11,000,000$ | 11,000,000$ | 11,000,000$ | UFA | ||||||
Dylan Guenther | LW/RW | 21 | 875,000$ | 875,000$ | 875,000$ | RFA | ||||||
Erik Gustafsson | D | 32 | 825,000$ | 825,000$ | 825,000$ | UFA | ||||||
Ian Cole | D | 35 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||||
Jeff Skinner | C/LW | 32 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||||
Jordan Eberle | C/RW | 34 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||||
Lars Eller | C | 35 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||||
Leo Carlsson | C/RW | 19 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Martin Jones | G | 34 | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | ||||||
Matt Duchene | C/RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Neal Pionk | D | 28 | 5,875,000$ | 5,875,000$ | 5,875,000$ | 5,875,000$ | UFA | |||||
Nick Bonino | C/LW | 36 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | |||||
Nicolas Aube-Kubel | C/RW | 28 | 625,000$ | 625,000$ | 625,000$ | UFA | ||||||
Radko Gudas | D | 34 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | |||||
Ryan Graves | D | 29 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||||
Ryan McDonagh | D | 35 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | |||||
Sean Couturier | C | 31 | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | UFA | |||||
Trent Frederic | C/LW | 26 | 2,300,000$ | 2,300,000$ | 2,300,000$ | 2,300,000$ | UFA | |||||
Tyson Jost | C | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Hreschuk | D | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Alex Turcotte | C | 23 | 894,167$ | 89,417$ | 89,417$ | RFA | ||||||
Antonio Stranges | C/LW | 22 | 846,667$ | 84,667$ | 84,667$ | 84,667$ | RFA | |||||
Ben Hemmerling | RW | 20 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Calle Odelius | D | 20 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Cole Schwindt | C/RW | 23 | 855,833$ | 85,583$ | 85,583$ | RFA | ||||||
Daemon Hunt | D | 22 | 828,333$ | 82,833$ | 82,833$ | 82,833$ | RFA | |||||
Dan Vladar | G | 26 | 1,100,000$ | 110,000$ | 110,000$ | RFA | ||||||
Frank Nazar | C/RW | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Gleb Trikozov | LW | 19 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Ilya Konovalov | G | 25 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Isaiah George | D | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Jake Furlong | D | 20 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
James Malatesta | C/LW | 21 | 841,666$ | 84,167$ | 84,167$ | 84,167$ | 84,167$ | RFA | ||||
John Farinacci | C | 23 | 910,000$ | 91,000$ | 91,000$ | 91,000$ | RFA | |||||
Justin Barron | D | 22 | 925,000$ | 92,500$ | 92,500$ | RFA | ||||||
Leevi Merilainen | G | 21 | 820,000$ | 82,000$ | 82,000$ | 82,000$ | RFA | |||||
Liam Ohgren | LW | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Reid Dyck | G | 20 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Ryan Healey | D | 20 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Ryan Ufko | D | 21 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Santeri Hatakka | D | 23 | 850,833$ | 85,083$ | 85,083$ | RFA | ||||||
Simon Robertsson | RW | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Tucker Robertson | C | 21 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Ty Gallagher | D | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Ty Voit | C/LW/RW | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Tyler Kleven | D | 22 | 916,667$ | 91,667$ | 91,667$ | 91,667$ | RFA | |||||
Vladimir Grudinin | D | 20 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Vladislav Kolyachonok | D | 23 | 789,167$ | 78,917$ | 78,917$ | RFA |
Forward Lines | |||||||
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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 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.00 | -1.00 | 2 | 0.500 | 2.0 | 4.0 | 6.0 | 0 | 0 | 4 | 0 | 0 | 0 | 29.5 | 17 | 16 | 26 | 0 | 25.0 | 9.0 | 3.00 | 20.5 | 5.00 | 0.50 | 10.00% | 1.50 | 0.00 | 100.00% | 0 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 25.50 | 18.50 | 21.00 | 7.00 | 12.50 | 6.00 | 33.3% | 6.8% | 88.0% | 94.8 | Unlucky |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.50 | 2.00 | -0.50 | 2 | 0.500 | 1.5 | 3.0 | 4.5 | 0 | 0 | 0 | 1 | 2 | 0 | 27.0 | 20 | 16 | 18 | 0 | 21.0 | 3.0 | 10.00 | 20.5 | 4.00 | 0.50 | 12.50% | 5.00 | 0.00 | 100.00% | 0 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 24.50 | 16.00 | 21.50 | 7.50 | 13.50 | 7.00 | 33.3% | 5.6% | 90.5% | 96.0 | Unlucky |
3 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4.00 | 2.50 | 1.50 | 4 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 2 | 3 | 2 | 1 | 37.0 | 22 | 22 | 28 | 2 | 32.5 | 7.5 | 6.50 | 24.0 | 4.00 | 0.50 | 12.50% | 2.00 | 0.00 | 100.00% | 0 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 23.00 | 16.00 | 25.00 | 6.50 | 12.00 | 5.50 | 58.3% | 10.8% | 92.3% | 103.1 | LUCKY |
4 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 0 | 0 | 2 | 3 | 1 | 1 | 24.0 | 11 | 19 | 13 | 5 | 34.5 | 11.5 | 13.00 | 22.0 | 3.00 | 1.00 | 33.33% | 5.50 | 2.50 | 54.55% | 0 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 25.00 | 17.50 | 23.00 | 7.50 | 12.50 | 6.50 | 62.5% | 14.6% | 88.4% | 103.0 | FUN |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 4.00 | 0.00 | 2 | 0.500 | 4.0 | 7.0 | 11.0 | 0 | 0 | 3 | 2 | 3 | 0 | 34.5 | 23 | 24 | 22 | 0 | 25.5 | 7.0 | 11.50 | 25.0 | 4.00 | 1.00 | 25.00% | 2.00 | 0.00 | 100.00% | 1 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 24.00 | 16.50 | 22.00 | 7.00 | 13.50 | 6.50 | 42.9% | 11.6% | 84.3% | 95.9 | FUN |
6 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2.00 | 3.00 | -1.00 | 1 | 0.500 | 2.0 | 2.0 | 4.0 | 0 | 0 | 1 | 1 | 0 | 0 | 24.0 | 8 | 13 | 3 | 0 | 35.0 | 11.0 | 14.00 | 14.0 | 3.00 | 1.00 | 33.33% | 6.00 | 1.00 | 83.33% | 0 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 22.00 | 15.00 | 26.00 | 8.00 | 12.00 | 5.00 | 33.3% | 8.3% | 91.4% | 99.8 | DULL |
_Vs Division | 11 | 4 | 4 | 0 | 2 | 1 | 0 | 0 | 2.91 | 3.09 | -0.18 | 13 | 0.591 | 2.9 | 5.2 | 8.1 | 0 | 0 | 12 | 10 | 8 | 2 | 29.8 | 101 | 110 | 110 | 7 | 28.4 | 7.9 | 9.27 | 21.6 | 3.91 | 0.73 | 18.60% | 3.45 | 0.55 | 84.21% | 1 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 24.27 | 16.91 | 23.00 | 7.45 | 12.91 | 6.45 | 46.2% | 9.8% | 89.1% | 98.9 | FUN | |
_Vs Conference | 11 | 4 | 4 | 0 | 2 | 1 | 0 | 0 | 2.91 | 3.09 | -0.18 | 13 | 0.591 | 2.9 | 5.2 | 8.1 | 0 | 0 | 12 | 10 | 8 | 2 | 29.8 | 101 | 110 | 110 | 7 | 28.4 | 7.9 | 9.27 | 21.6 | 3.91 | 0.73 | 18.60% | 3.45 | 0.55 | 84.21% | 1 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 24.27 | 16.91 | 23.00 | 7.45 | 12.91 | 6.45 | 46.2% | 9.8% | 89.1% | 98.9 | FUN | |
_Since Last GM Reset | 11 | 4 | 4 | 0 | 2 | 1 | 0 | 0 | 2.91 | 3.09 | -0.18 | 13 | 0.591 | 2.9 | 5.2 | 8.1 | 0 | 0 | 12 | 10 | 8 | 2 | 29.8 | 101 | 110 | 110 | 7 | 28.4 | 7.9 | 9.27 | 21.6 | 3.91 | 0.73 | 18.60% | 3.45 | 0.55 | 84.21% | 1 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 24.27 | 16.91 | 23.00 | 7.45 | 12.91 | 6.45 | 46.2% | 9.8% | 89.1% | 98.9 | FUN | |
Total | 11 | 4 | 4 | 0 | 2 | 1 | 0 | 0 | 2.91 | 3.09 | -0.18 | 13 | 0.591 | 2.9 | 5.2 | 8.1 | 0 | 0 | 12 | 10 | 8 | 2 | 29.8 | 101 | 110 | 110 | 7 | 28.4 | 7.9 | 9.27 | 21.6 | 3.91 | 0.73 | 18.60% | 3.45 | 0.55 | 84.21% | 1 | 198 | 386 | 51.30% | 204 | 372 | 54.84% | 118 | 186 | 63.44% | 24.27 | 16.91 | 23.00 | 7.45 | 12.91 | 6.45 | 46.2% | 9.8% | 89.1% | 98.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 386 |
Neutral Zone Start | 186 |
Defensive Zone Start | 372 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 520 |
Faceoffs Lost | 424 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 29.2 | 30.68 |
Overtime | 29.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 23 |
---|---|
PP Goal | 8 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 2 |
Lost | 1 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 43 |
---|---|
PP Goal | 8 |
PK Attempt | 38 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 29.8 |
Shots Against | 28.4 |
Goals For | 2.9 |
Goals Against | 3.1 |
Hits | 21.6 |
Shots Blocked | 7.9 |
Pim | 9.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4 | ![]() | @ | ![]() | TIT3,MAV2 (OT) | RECAP | |||||||||
6 | ![]() | @ | ![]() | MET3,MAV4 (OT) | RECAP | |||||||||
9 | ![]() | @ | ![]() | MAV1,WOL4 | RECAP | |||||||||
12 | ![]() | @ | ![]() | WOL2,MAV3 | RECAP | |||||||||
15 | ![]() | @ | ![]() | MAV3,AVG5 | RECAP | |||||||||
17 | ![]() | @ | ![]() | AVG3,MAV5 | RECAP | |||||||||
20 | ![]() | @ | ![]() | MAV3,STO2 | RECAP | |||||||||
22 | ![]() | @ | ![]() | MAV3,BUT5 | RECAP | |||||||||
23 | ![]() | @ | ![]() | MAV4,MET2 | RECAP | |||||||||
25 | ![]() | @ | ![]() | BUT3,MAV4 (OT) | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
28 | ![]() | @ | ![]() | STO2,MAV0 | RECAP | |||||||||
31 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
73,550,000$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | The Bull Ring | |
City | Lethbridge | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
73,550,000$ | 73,550,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 125,623,307$ | 125,623,307$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() | ![]() | ![]() ![]() | ![]() ![]() | ![]() ![]() | ||
2026 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
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 |
---|---|---|---|---|---|
Albert Wikman | ![]() | 2023 | 138 | - | Link |
Caden Price | ![]() | 2023 | 85 | - | Link |
Carter Sotheran | ![]() | 2023 | 119 | - | Link |
Cole Brown | ![]() | 2023 | 164 | - | Link |
Connor Levis | ![]() | 2023 | 162 | - | Link |
Dominik Badinka | ![]() | 2024 | 43 | 0 | |
Gracyn Sawchyn | ![]() | 2023 | 57 | - | Link |
Jakub Fibigr | ![]() | 2024 | 155 | 0 | |
Josh Davies | ![]() | 2024 | 148 | 0 | |
Luca Cagnoni | ![]() | 2023 | 47 | - | Link |
Luca Pinelli | ![]() | 2023 | 112 | - | Link |
Mikhail Gulyayev | ![]() | 2023 | 41 | - | Link |
Timur Mukhanov | ![]() | 2023 | 113 | - | Link |
Tory Pitner | ![]() | 2024 | 195 | 0 | |
Tuomas Uronen | ![]() | 2023 | 142 | - | Link |
Tyler Peddle | ![]() | 2023 | 141 | - | Link |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() | ![]() | ![]() ![]() | ![]() ![]() | ![]() ![]() | ||
2026 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Albert Wikman | ![]() | 2023 | 138 | - | Link |
Caden Price | ![]() | 2023 | 85 | - | Link |
Carter Sotheran | ![]() | 2023 | 119 | - | Link |
Cole Brown | ![]() | 2023 | 164 | - | Link |
Connor Levis | ![]() | 2023 | 162 | - | Link |
Dominik Badinka | ![]() | 2024 | 43 | 0 | |
Gracyn Sawchyn | ![]() | 2023 | 57 | - | Link |
Jakub Fibigr | ![]() | 2024 | 155 | 0 | |
Josh Davies | ![]() | 2024 | 148 | 0 | |
Luca Cagnoni | ![]() | 2023 | 47 | - | Link |
Luca Pinelli | ![]() | 2023 | 112 | - | Link |
Mikhail Gulyayev | ![]() | 2023 | 41 | - | Link |
Timur Mukhanov | ![]() | 2023 | 113 | - | Link |
Tory Pitner | ![]() | 2024 | 195 | 0 | |
Tuomas Uronen | ![]() | 2023 | 142 | - | Link |
Tyler Peddle | ![]() | 2023 | 141 | - | Link |
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