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Full Scoreboard »» |
Laval Rocket Team Overall:65 40-13-4, 84pts · 1st in Conférence Ouest |
Player | # | POS | CON | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/RW | 99.00 | 28 | 81 | 35 | 89 | 67 | 77 | 86 | 90 | 66 | 88 | 68 | 63 | 87 | 65 | 72 | 69 | 0 | 40 | 74 | 99.00 | 2,857,143$/1yrs | ||
![]() | 0 | C/RW | 100.00 | 26 | 86 | 35 | 94 | 66 | 75 | 81 | 89 | 67 | 81 | 62 | 65 | 80 | 63 | 70 | 68 | 0 | 40 | 73 | 100.00 | 750,000$/1yrs | ||
![]() | 0 | C | 99.00 | 30 | 79 | 37 | 82 | 66 | 71 | 83 | 90 | 64 | 88 | 63 | 65 | 80 | 62 | 78 | 74 | 0 | 40 | 72 | 99.00 | 3,350,000$/1yrs | ||
![]() | 0 | C/LW | 100.00 | 30 | 70 | 38 | 91 | 62 | 84 | 82 | 93 | 64 | 80 | 65 | 63 | 79 | 61 | 76 | 73 | 0 | 40 | 72 | 100.00 | 700,000$/2yrs | ||
![]() | 0 | C/RW | 100.00 | 30 | 78 | 41 | 82 | 64 | 73 | 90 | 87 | 63 | 70 | 61 | 62 | 75 | 58 | 73 | 74 | 0 | 40 | 71 | 100.00 | 1,350,000$/2yrs | ||
![]() | 0 | C | 100.00 | 26 | 63 | 39 | 81 | 68 | 72 | 87 | 79 | 66 | 81 | 67 | 65 | 73 | 64 | 68 | 69 | 0 | 40 | 71 | 100.00 | 750,000$/3yrs | ||
![]() | 0 | LW | 100.00 | 27 | 88 | 37 | 86 | 65 | 83 | 78 | 88 | 64 | 56 | 65 | 64 | 60 | 62 | 70 | 68 | 0 | 40 | 71 | 100.00 | 725,000$/1yrs | ||
![]() | 0 | LW | 100.00 | 26 | 88 | 35 | 76 | 65 | 77 | 75 | 73 | 64 | 57 | 63 | 62 | 70 | 64 | 66 | 67 | 0 | 40 | 70 | 100.00 | 737,500$/3yrs | ||
![]() | 0 | C | 100.00 | 27 | 70 | 39 | 86 | 63 | 79 | 73 | 92 | 63 | 73 | 64 | 62 | 75 | 61 | 68 | 69 | 0 | 40 | 70 | 100.00 | 700,000$/2yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 29 | 67 | 38 | 83 | 65 | 66 | 85 | 82 | 63 | 72 | 64 | 65 | 68 | 62 | 70 | 69 | 0 | 40 | 70 | 100.00 | 750,000$/3yrs | ||
![]() | 0 | LW/RW | 100.00 | 28 | 82 | 39 | 84 | 65 | 73 | 91 | 72 | 66 | 56 | 67 | 59 | 63 | 65 | 70 | 71 | 0 | 40 | 70 | 100.00 | 750,000$/3yrs | ||
![]() | 0 | LW/RW | 100.00 | 20 | 59 | 37 | 84 | 70 | 71 | 89 | 71 | 68 | 72 | 67 | 70 | 61 | 72 | 61 | 63 | 0 | 40 | 70 | 100.00 | 1,744,167$/1yrs | ||
![]() | 0 | D | 100.00 | 21 | 59 | 36 | 93 | 72 | 68 | 86 | 81 | 71 | 30 | 70 | 64 | 66 | 54 | 61 | 63 | 0 | 40 | 71 | 100.00 | 1,308,333$/1yrs | ||
![]() | 0 | D | 100.00 | 25 | 64 | 37 | 93 | 69 | 83 | 84 | 80 | 68 | 30 | 67 | 59 | 66 | 52 | 65 | 66 | 0 | 40 | 70 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | D | 100.00 | 30 | 69 | 36 | 84 | 68 | 71 | 80 | 75 | 66 | 30 | 70 | 55 | 64 | 53 | 71 | 72 | 0 | 40 | 70 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | D | 100.00 | 25 | 79 | 54 | 75 | 60 | 88 | 86 | 82 | 59 | 30 | 70 | 58 | 75 | 50 | 65 | 66 | 0 | 40 | 70 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | D | 100.00 | 23 | 71 | 31 | 84 | 66 | 85 | 80 | 74 | 63 | 30 | 64 | 59 | 67 | 53 | 64 | 66 | 0 | 40 | 69 | 100.00 | 894,166$/1yrs | ||
![]() | 0 | D | 100.00 | 26 | 64 | 36 | 70 | 66 | 71 | 82 | 73 | 65 | 30 | 67 | 65 | 66 | 55 | 67 | 68 | 0 | 40 | 69 | 100.00 | 749,167$/1yrs | ||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 24 | 77 | 36 | 82 | 64 | 89 | 80 | 87 | 63 | 70 | 62 | 59 | 65 | 63 | 65 | 67 | 0 | 40 | 69 | 100.00 | 800,000$/1yrs | ||
![]() | 0 | RW | 100.00 | 26 | 74 | 39 | 94 | 62 | 84 | 81 | 85 | 61 | 65 | 62 | 58 | 62 | 59 | 67 | 69 | 0 | 40 | 69 | 100.00 | 746,875$/3yrs | ||
![]() | 0 | RW | 100.00 | 22 | 67 | 39 | 83 | 66 | 78 | 85 | 76 | 64 | 57 | 62 | 63 | 61 | 62 | 64 | 65 | 0 | 40 | 69 | 100.00 | 1,319,167$/1yrs | ||
![]() | 0 | C/LW | 100.00 | 23 | 81 | 79 | 60 | 66 | 81 | 78 | 84 | 62 | 56 | 62 | 64 | 57 | 62 | 64 | 66 | 0 | 40 | 69 | 100.00 | 750,000$/3yrs | ||
![]() | 0 | LW/RW | 100.00 | 24 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 836,111$/1yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 25 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 975,000$/2yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 25 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 700,000$/2yrs | ||
![]() | 0 | D | 100.00 | 28 | 70 | 38 | 88 | 61 | 80 | 82 | 81 | 58 | 30 | 67 | 59 | 73 | 51 | 70 | 71 | 0 | 40 | 69 | 100.00 | 1,633,333$/2yrs | ||
![]() | 0 | D | 100.00 | 24 | 77 | 35 | 83 | 64 | 80 | 82 | 71 | 63 | 30 | 61 | 56 | 62 | 51 | 65 | 67 | 0 | 40 | 68 | 100.00 | 888,333$/1yrs | ||
![]() | 0 | D | 100.00 | 24 | 66 | 37 | 93 | 62 | 77 | 79 | 83 | 61 | 30 | 62 | 58 | 60 | 49 | 65 | 67 | 0 | 40 | 68 | 100.00 | 780,000$/1yrs | ||
![]() | 0 | D | 100.00 | 26 | 69 | 35 | 77 | 58 | 78 | 69 | 80 | 57 | 30 | 56 | 55 | 57 | 45 | 67 | 69 | 0 | 40 | 65 | 100.00 | 850,000$/1yrs | ||
TEAM AVERAGE | 99.93 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | AGE | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 29 | 83 | 76 | 81 | 83 | 83 | 82 | 70 | 84 | 0 | 40 | 71 | 825,000$/3yrs | ||||||||
![]() | 0 | 100.00 | 26 | 75 | 78 | 82 | 75 | 75 | 74 | 66 | 77 | 0 | 40 | 67 | 925,000$/1yrs | ||||||||
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Craig MacTavish | 88 | 76 | 76 | 85 | 91 | 77 | 1 | CAN | 62 | 1 | 525,000$ |
General Manager |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Colton Sissons | C/RW | 57 | 22 | 35 | 57 | 6 | 22 | 0 | 96 | 221 | 63 | 159 | 9.95% | 17 | 21.48 | 7 | 9 | 16 | 181 | 0 | 0 | 0 | 41 | 6 | 1 | 53.88% | 206 | 0 | 0 | 1 | 0 | 0.93 | 0 | 1 | |||
2 | Casey Cizikas | C | 57 | 23 | 23 | 46 | 7 | 34 | 10 | 119 | 177 | 67 | 134 | 12.99% | 16 | 20.51 | 4 | 6 | 10 | 151 | 1 | 0 | 1 | 28 | 6 | 0 | 56.06% | 1445 | 0 | 0 | 0 | 0 | 0.79 | 0 | 1 | |||
3 | Curtis Lazar | C/RW | 57 | 19 | 25 | 44 | 19 | 28 | 0 | 69 | 212 | 41 | 140 | 8.96% | 12 | 18.27 | 4 | 8 | 12 | 149 | 0 | 0 | 0 | 82 | 3 | 1 | 57.89% | 133 | 0 | 0 | 0 | 0 | 0.85 | 1 | 3 | |||
4 | Laurent Dauphin | C | 57 | 16 | 25 | 41 | 15 | 8 | 0 | 26 | 157 | 50 | 96 | 10.19% | 13 | 19.97 | 2 | 6 | 8 | 180 | 0 | 0 | 0 | 151 | 4 | 2 | 53.24% | 1561 | 0 | 0 | 0 | 0 | 0.72 | 0 | 2 | |||
5 | Riley Sheahan | C/LW | 57 | 15 | 22 | 37 | 9 | 12 | 0 | 38 | 160 | 34 | 98 | 9.38% | 11 | 18.19 | 2 | 2 | 4 | 23 | 0 | 0 | 0 | 19 | 5 | 1 | 53.75% | 80 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | |||
6 | Cam York | D | 57 | 4 | 32 | 36 | 21 | 24 | 0 | 70 | 79 | 33 | 59 | 5.06% | 50 | 24.44 | 0 | 6 | 6 | 157 | 0 | 0 | 0 | 115 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |||
7 | Jake Walman | D | 57 | 7 | 26 | 33 | 25 | 18 | 0 | 100 | 71 | 26 | 46 | 9.86% | 52 | 25.71 | 4 | 5 | 9 | 167 | 0 | 0 | 0 | 135 | 3 | 2 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.45 | 0 | 0 | |||
8 | Chris Wagner | C/RW | 57 | 9 | 23 | 32 | 15 | 13 | 5 | 55 | 88 | 27 | 74 | 10.23% | 10 | 12.53 | 2 | 6 | 8 | 166 | 0 | 1 | 1 | 187 | 3 | 0 | 48.20% | 471 | 0 | 0 | 1 | 0 | 0.90 | 0 | 1 | |||
9 | William Carrier | LW | 57 | 11 | 16 | 27 | 18 | 22 | 0 | 126 | 112 | 21 | 73 | 9.82% | 3 | 18.11 | 1 | 4 | 5 | 148 | 0 | 0 | 0 | 80 | 1 | 2 | 40.85% | 71 | 0 | 0 | 0 | 0 | 0.52 | 1 | 2 | |||
10 | Niko Mikkola | D | 57 | 8 | 15 | 23 | 14 | 59 | 5 | 167 | 65 | 17 | 42 | 12.31% | 74 | 25.64 | 4 | 2 | 6 | 156 | 0 | 0 | 0 | 121 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |||
11 | Libor Hajek | D | 57 | 5 | 17 | 22 | 9 | 34 | 0 | 80 | 55 | 24 | 35 | 9.09% | 54 | 19.82 | 2 | 2 | 4 | 122 | 0 | 0 | 0 | 121 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |||
12 | Joel Hanley | D | 54 | 1 | 19 | 20 | 15 | 34 | 0 | 51 | 36 | 7 | 18 | 2.78% | 46 | 20.82 | 0 | 3 | 3 | 52 | 0 | 0 | 0 | 97 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |||
13 | Kyle Rau | C/LW/RW | 57 | 10 | 10 | 20 | 8 | 4 | 0 | 11 | 81 | 24 | 61 | 12.35% | 3 | 11.19 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 54.55% | 44 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |||
14 | Dominic Toninato | C | 57 | 8 | 11 | 19 | 8 | 6 | 0 | 17 | 88 | 21 | 63 | 9.09% | 13 | 11.14 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 2 | 52.19% | 661 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |||
15 | Jack Quinn | LW/RW | 57 | 12 | 5 | 17 | 14 | 2 | 0 | 5 | 61 | 18 | 49 | 19.67% | 0 | 6.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 39.13% | 23 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | |||
16 | Anton Blidh | LW | 57 | 8 | 8 | 16 | 8 | 50 | 0 | 105 | 79 | 23 | 64 | 10.13% | 5 | 11.58 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 23 | 0 | 0 | 39.13% | 46 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |||
17 | Phillip Di Giuseppe | LW/RW | 57 | 5 | 8 | 13 | 14 | 12 | 0 | 45 | 42 | 15 | 22 | 11.90% | 0 | 6.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.00% | 20 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | |||
18 | Mark Friedman | D | 51 | 0 | 3 | 3 | 7 | 6 | 0 | 11 | 4 | 3 | 3 | 0.00% | 8 | 2.67 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |||
19 | Scott Harrington | D | 9 | 0 | 1 | 1 | 3 | 6 | 0 | 6 | 5 | 1 | 4 | 0.00% | 15 | 15.85 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |||
Team Total or Average | 1026 | 183 | 324 | 507 | 235 | 394 | 20 | 1197 | 1793 | 515 | 1240 | 10.21% | 402 | 16.40 | 32 | 59 | 91 | 1678 | 1 | 2 | 3 | 1231 | 40 | 14 | 53.14% | 4761 | 0 | 0 | 3 | 0 | 0.60 | 2 | 10 |
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 | Scott Wedgewood | 50 | 36 | 10 | 2 | 0.924 | 2.02 | 2907 | 0 | 7 | 98 | 1294 | 0 | 1 | 1 | 0.500 | 6 | 48 | 9 | 7 | 3 | 1 | |
2 | Jonas Johansson | 10 | 4 | 3 | 2 | 0.886 | 2.92 | 535 | 0 | 0 | 26 | 229 | 0 | 1 | 0 | 0.400 | 5 | 9 | 48 | 0 | 1 | 0 | |
Team Total or Average | 60 | 40 | 13 | 4 | 0.919 | 2.16 | 3443 | 0 | 7 | 124 | 1523 | 0 | 2 | 1 | 0.455 | 11 | 57 | 57 | 7 | 4 | 1 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 0$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 0 |
LTIR Players | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander True | C | 24 | 800,000$ | 800,000$ | |||||||
Anton Blidh | LW | 26 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Brendan Guhle | D | 24 | 888,333$ | 888,333$ | |||||||
Cam York | D | 21 | 1,308,333$ | 1,308,333$ | |||||||
Casey Cizikas | C | 30 | 3,350,000$ | 3,350,000$ | |||||||
Chris Wagner | C/RW | 30 | 1,350,000$ | 1,350,000$ | 1,350,000$ | ||||||
Colton Sissons | C/RW | 28 | 2,857,143$ | 2,857,143$ | |||||||
Curtis Lazar | C/RW | 26 | 800,000$ | 800,000$ | |||||||
Dmytro Timashov | LW/RW | 24 | 836,111$ | 836,111$ | |||||||
Dominic Toninato | C | 27 | 700,000$ | 700,000$ | 700,000$ | ||||||
Dominik Kahun | C/LW/RW | 25 | 975,000$ | 975,000$ | 975,000$ | ||||||
Hudson Fasching | RW | 26 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Jack Quinn | LW/RW | 20 | 1,744,167$ | 1,744,167$ | |||||||
Jacob de La Rose | C/LW/RW | 25 | 700,000$ | 700,000$ | 700,000$ | ||||||
Jake Walman | D | 25 | 925,000$ | 925,000$ | |||||||
Jimmy Schuldt | D | 26 | 850,000$ | 850,000$ | |||||||
Joel Hanley | D | 30 | 700,000$ | 700,000$ | |||||||
| 0$ | 0$ | |||||||||
Kyle Rau | C/LW/RW | 29 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Laurent Dauphin | C | 26 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Libor Hajek | D | 23 | 894,166$ | 894,166$ | |||||||
Mark Friedman | D | 26 | 749,167$ | 749,167$ | |||||||
Martin Kaut | RW | 22 | 1,319,167$ | 1,319,167$ | |||||||
Maxime Lajoie | D | 24 | 780,000$ | 780,000$ | |||||||
Michael Pezzetta | C/LW | 23 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Niko Mikkola | D | 25 | 925,000$ | 925,000$ | |||||||
Phillip Di Giuseppe | LW/RW | 28 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Riley Sheahan | C/LW | 30 | 700,000$ | 700,000$ | 700,000$ | ||||||
Scott Harrington | D | 28 | 1,633,333$ | 1,633,333$ | 1,633,333$ | ||||||
| 0$ | 0$ | |||||||||
William Carrier | LW | 27 | 725,000$ | 725,000$ |
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Goalies | |||||||
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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 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 13 | 14 | -1 | 4 | 0.500 | 13 | 24 | 37 | 0 | 0 | 63 | 58 | 59 | 5 | 112 | 583 | 603 | 586 | 31 | 127 | 35 | 36 | 95 | 7 | 1 | 14.29% | 17 | 4 | 76.47% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 54.5% | 11.6% | 89.0% | 100.6 | FUN | |
2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 5 | 9 | 6 | 1.000 | 14 | 26 | 40 | 0 | 1 | 63 | 58 | 59 | 5 | 87 | 583 | 603 | 586 | 31 | 81 | 22 | 23 | 59 | 11 | 2 | 18.18% | 8 | 0 | 100.00% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 70.6% | 16.1% | 93.8% | 109.9 | LUCKY | |
3 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 0.500 | 10 | 15 | 25 | 0 | 0 | 63 | 58 | 59 | 5 | 124 | 583 | 603 | 586 | 31 | 104 | 28 | 18 | 99 | 8 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 55.6% | 8.1% | 90.4% | 98.4 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 63 | 58 | 59 | 5 | 27 | 583 | 603 | 586 | 31 | 22 | 7 | 8 | 25 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 1 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 50.0% | 11.1% | 90.9% | 102.0 | FUN | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 63 | 58 | 59 | 5 | 69 | 583 | 603 | 586 | 31 | 69 | 18 | 12 | 58 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 60.0% | 8.7% | 94.2% | 102.9 | DULL | |
6 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 0.750 | 12 | 22 | 34 | 0 | 0 | 63 | 58 | 59 | 5 | 125 | 583 | 603 | 586 | 31 | 98 | 26 | 24 | 81 | 18 | 3 | 16.67% | 11 | 2 | 81.82% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 64.3% | 9.6% | 92.9% | 102.5 | LUCKY | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 63 | 58 | 59 | 5 | 72 | 583 | 603 | 586 | 31 | 58 | 14 | 6 | 48 | 10 | 3 | 30.00% | 3 | 1 | 66.67% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 66.7% | 15.3% | 91.4% | 106.7 | LUCKY | |
8 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 4 | 10 | 8 | 1.000 | 14 | 28 | 42 | 0 | 1 | 63 | 58 | 59 | 5 | 135 | 583 | 603 | 586 | 31 | 89 | 29 | 24 | 68 | 19 | 5 | 26.32% | 10 | 0 | 100.00% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 69.2% | 10.4% | 95.5% | 105.9 | LUCKY | |
9 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 6 | 1.000 | 9 | 17 | 26 | 0 | 0 | 63 | 58 | 59 | 5 | 92 | 583 | 603 | 586 | 31 | 109 | 17 | 34 | 79 | 9 | 1 | 11.11% | 16 | 1 | 93.75% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 66.7% | 9.8% | 95.4% | 105.2 | LUCKY | |
10 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 63 | 58 | 59 | 5 | 73 | 583 | 603 | 586 | 31 | 50 | 15 | 13 | 45 | 10 | 1 | 10.00% | 4 | 0 | 100.00% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 66.7% | 6.8% | 96.0% | 102.8 | DULL | |
11 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 11 | -3 | 3 | 0.500 | 8 | 14 | 22 | 0 | 0 | 63 | 58 | 59 | 5 | 117 | 583 | 603 | 586 | 31 | 80 | 23 | 22 | 59 | 9 | 3 | 33.33% | 11 | 2 | 81.82% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 35.7% | 6.8% | 86.3% | 93.1 | Unlucky | |
12 | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 16 | 7 | 9 | 9 | 0.900 | 16 | 28 | 44 | 0 | 1 | 63 | 58 | 59 | 5 | 151 | 583 | 603 | 586 | 31 | 117 | 37 | 24 | 101 | 22 | 3 | 13.64% | 12 | 2 | 83.33% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 72.2% | 10.6% | 94.0% | 104.6 | LUCKY | |
13 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 63 | 58 | 59 | 5 | 74 | 583 | 603 | 586 | 31 | 59 | 15 | 19 | 28 | 11 | 1 | 9.09% | 6 | 1 | 83.33% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 50.0% | 9.5% | 88.1% | 97.6 | FUN | |
14 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 7 | 10 | 6 | 0.750 | 17 | 30 | 47 | 1 | 2 | 63 | 58 | 59 | 5 | 127 | 583 | 603 | 586 | 31 | 113 | 29 | 30 | 77 | 8 | 3 | 37.50% | 14 | 2 | 85.71% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 73.7% | 13.4% | 93.8% | 107.2 | LUCKY | |
15 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 4 | 0.667 | 7 | 12 | 19 | 0 | 0 | 63 | 58 | 59 | 5 | 85 | 583 | 603 | 586 | 31 | 86 | 24 | 22 | 51 | 9 | 0 | 0.00% | 11 | 0 | 100.00% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 41.2% | 8.2% | 88.4% | 96.6 | Unlucky | |
16 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 4 | 0.667 | 13 | 23 | 36 | 0 | 1 | 63 | 58 | 59 | 5 | 110 | 583 | 603 | 586 | 31 | 77 | 9 | 21 | 65 | 14 | 3 | 21.43% | 6 | 0 | 100.00% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 55.6% | 11.8% | 89.6% | 101.4 | FUN | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 6 | 11 | 0 | 1 | 63 | 58 | 59 | 5 | 63 | 583 | 603 | 586 | 31 | 47 | 17 | 12 | 36 | 10 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 83.3% | 7.9% | 97.9% | 105.8 | DULL | |
18 | 6 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 13 | 19 | -6 | 5 | 0.417 | 13 | 25 | 38 | 0 | 0 | 63 | 58 | 59 | 5 | 150 | 583 | 603 | 586 | 31 | 138 | 37 | 46 | 123 | 21 | 2 | 9.52% | 22 | 5 | 77.27% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 44.0% | 8.7% | 86.2% | 94.9 | Unlucky | |
_Vs Division | 17 | 11 | 4 | 0 | 0 | 1 | 0 | 1 | 52 | 38 | 14 | 24 | 0.706 | 52 | 94 | 146 | 0 | 1 | 63 | 58 | 59 | 5 | 498 | 583 | 603 | 586 | 31 | 411 | 114 | 100 | 353 | 71 | 11 | 15.49% | 48 | 10 | 79.17% | 0 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 59.4% | 10.4% | 90.8% | 101.2 | FUN | |
_Vs Conference | 34 | 22 | 9 | 0 | 1 | 1 | 0 | 1 | 109 | 75 | 34 | 48 | 0.706 | 109 | 196 | 305 | 1 | 4 | 63 | 58 | 59 | 5 | 1023 | 583 | 603 | 586 | 31 | 866 | 242 | 216 | 717 | 116 | 21 | 18.10% | 102 | 18 | 82.35% | 1 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 60.7% | 10.7% | 91.3% | 102.0 | LUCKY | |
_Since Last GM Reset | 57 | 37 | 13 | 0 | 3 | 1 | 0 | 3 | 183 | 128 | 55 | 84 | 0.737 | 183 | 324 | 507 | 1 | 7 | 63 | 58 | 59 | 5 | 1793 | 583 | 603 | 586 | 31 | 1524 | 402 | 394 | 1197 | 200 | 32 | 16.00% | 176 | 22 | 87.50% | 1 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 58.8% | 10.2% | 91.6% | 101.8 | LUCKY | |
Total | 57 | 37 | 13 | 0 | 3 | 1 | 0 | 3 | 183 | 128 | 55 | 84 | 0.737 | 183 | 324 | 507 | 1 | 7 | 63 | 58 | 59 | 5 | 1793 | 583 | 603 | 586 | 31 | 1524 | 402 | 394 | 1197 | 200 | 32 | 16.00% | 176 | 22 | 87.50% | 1 | 1092 | 2015 | 54.19% | 975 | 1837 | 53.08% | 463 | 870 | 53.22% | 1402 | 964 | 1296 | 423 | 744 | 380 | 58.8% | 10.2% | 91.6% | 101.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2015 |
Neutral Zone Start | 870 |
Defensive Zone Start | 1837 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2530 |
Faceoffs Lost | 2192 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.2 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 31.1 | 30.68 |
Overtime | 31.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 149 |
---|---|
PP Goal | 32 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 24 | 16 |
Lost | 3 | 10 |
Overtime Lost | 2 | 2 |
PP Attempt | 200 |
---|---|
PP Goal | 32 |
PK Attempt | 176 |
PK Goal Against | 22 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 26.7 |
Goals For | 3.2 |
Goals Against | 2.2 |
Hits | 21.0 |
Shots Blocked | 7.1 |
Pim | 6.9 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2022-10-11 | @ | Rocket3,Silver Knights5 | RECAP | ||
2022-10-13 | @ | Rampage2,Rocket6 | RECAP | ||
2022-10-15 | @ | Rocket6,Griffins4 | RECAP | ||
2022-10-16 | @ | Griffins1,Rocket5 | RECAP | ||
2022-10-19 | @ | Rocket2,Heat4 | RECAP | ||
2022-10-20 | @ | Rampage1,Rocket4 | RECAP | ||
2022-10-22 | @ | Wolf Pack1,Rocket3 | RECAP | ||
2022-10-26 | @ | Rocket3,Canucks5 | RECAP | ||
2022-10-28 | @ | Silver Knights3,Rocket2 (SO) | RECAP | ||
2022-10-30 | @ | Silver Knights2,Rocket4 | RECAP | ||
2022-10-31 | @ | Rocket1,Wolf Pack3 | RECAP | ||
2022-11-02 | @ | Rocket3,Firebirds5 | RECAP | ||
2022-11-04 | @ | Rocket3,Monsters1 | RECAP | ||
2022-11-06 | @ | Bruins3,Rocket2 (OT) | RECAP | ||
2022-11-07 | @ | Bears3,Rocket5 | RECAP | ||
2022-11-10 | @ | Bruins0,Rocket3 | RECAP | ||
2022-11-11 | @ | Rocket2,Wolves3 | RECAP | ||
2022-11-13 | @ | Rocket3,Rampage1 | RECAP | ||
2022-11-15 | @ | Rocket5,Bears2 | RECAP | ||
2022-11-17 | @ | Checkers1,Rocket4 | RECAP | ||
2022-11-19 | @ | Rocket3,Monsters5 | RECAP | ||
2022-11-21 | @ | Admirals1,Rocket3 | RECAP | ||
2022-11-23 | @ | Rocket3,Condors4 (SO) | RECAP | ||
2022-11-25 | @ | Manitoba Moose2,Rocket3 | RECAP | ||
2022-11-27 | @ | Rocket3,Manitoba Moose2 | RECAP | ||
2022-11-29 | @ | Rocket1,Manitoba Moose6 | RECAP | ||
2022-11-30 | @ | Silver Knights2,Rocket3 | RECAP | ||
2022-12-03 | @ | Checkers0,Rocket1 | RECAP | ||
2022-12-04 | @ | Rocket5,Wolf Pack2 | RECAP | ||
2022-12-06 | @ | Condors5,Rocket1 | RECAP | ||
2022-12-09 | @ | Rocket3,Bruins1 | RECAP | ||
2022-12-11 | @ | Bruins2,Rocket3 | RECAP | ||
2022-12-13 | @ | Wolf Pack1,Rocket3 | RECAP | ||
2022-12-14 | @ | Rocket2,Marlies1 | RECAP | ||
2022-12-16 | @ | Canucks0,Rocket4 | RECAP | ||
2022-12-18 | @ | Rocket6,Canucks3 | RECAP | ||
2022-12-21 | @ | Condors2,Rocket4 | RECAP | ||
2022-12-22 | @ | Rocket2,Admirals1 (OT) | RECAP | ||
2022-12-24 | @ | Bears0,Rocket4 | RECAP | ||
2022-12-26 | @ | Rocket5,Bruins1 | RECAP | ||
2022-12-28 | @ | Wolves1,Rocket4 | RECAP | ||
2022-12-30 | @ | Rocket4,IceHogs5 (SO) | RECAP | ||
2022-12-31 | @ | Heat3,Rocket4 (OT) | RECAP | ||
2023-01-01 | @ | Rocket3,Firebirds2 | RECAP | ||
2023-01-03 | @ | Rocket0,Silver Knights3 | RECAP | ||
2023-01-05 | @ | Rocket6,Firebirds0 | RECAP | ||
2023-01-06 | @ | Silver Knights4,Rocket1 | RECAP | ||
2023-01-08 | @ | Rampage0,Rocket1 | RECAP | ||
2023-01-11 | @ | Monsters1,Rocket3 | RECAP | ||
2023-01-13 | @ | Rocket2,Heat4 | RECAP | ||
2023-01-15 | @ | Marlies2,Rocket3 | RECAP | ||
2023-01-19 | @ | Rocket3,IceHogs2 (OT) | RECAP | ||
2023-01-20 | @ | Marlies2,Rocket4 | RECAP | ||
2023-01-22 | @ | Firebirds0,Rocket5 | RECAP | ||
2023-01-25 | @ | Rocket5,Heat3 | RECAP | ||
2023-01-26 | @ | Monsters3,Rocket1 | RECAP | ||
2023-01-28 | @ | Rocket3,Reign2 | RECAP | ||
2023-01-30 | @ | ||||
2023-01-31 | @ | ||||
2023-02-03 | @ | ||||
2023-02-04 | @ | ||||
2023-02-07 | @ | ||||
2023-02-08 | @ | ||||
2023-02-11 | @ | ||||
2023-02-12 | @ | ||||
2023-02-14 | @ | ||||
2023-02-16 | @ | ||||
2023-02-18 | @ | ||||
2023-02-19 | @ | ||||
2023-02-22 | @ | ||||
2023-02-23 | @ | ||||
2023-02-25 | @ | ||||
2023-02-26 | @ | ||||
2023-02-28 | @ | ||||
2023-03-02 | @ | ||||
2023-03-03 | @ | ||||
2023-03-06 | @ | ||||
2023-03-09 | @ | ||||
2023-03-10 | @ | ||||
2023-03-11 | @ | ||||
2023-03-15 | @ | ||||
2023-03-17 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
31,923,808$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Laval | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 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 |
12 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
31,923,808$ | 31,858,184$ | 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$ | 49 | 199,072$ | 9,754,528$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
9,754,528$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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