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Full Scoreboard »» |
Tucson Roadrunners 18-2-1, 37pts · 1st in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 99.00 | 75 | 33 | 85 | 67 | 79 | 76 | 82 | 69 | 78 | 70 | 72 | 61 | 71 | 86 | 84 | 0 | 65 | 80 | 36 | 1,100,000$/1yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 58 | 34 | 87 | 65 | 75 | 77 | 85 | 69 | 73 | 69 | 70 | 72 | 70 | 83 | 81 | 0 | 68 | 79 | 34 | 850,000$/1yrs | |||
![]() | 76 | C/RW | 99.00 | 73 | 38 | 74 | 64 | 81 | 77 | 77 | 65 | 77 | 68 | 68 | 69 | 68 | 76 | 77 | 0 | 68 | 78 | 30 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 41 | 76 | 68 | 89 | 73 | 88 | 67 | 44 | 70 | 67 | 62 | 69 | 63 | 66 | 0 | 58 | 77 | 23 | 1,000,000$/3yrs | |||
![]() | 67 | LW/RW | 100.00 | 69 | 37 | 84 | 64 | 72 | 74 | 77 | 63 | 48 | 66 | 66 | 68 | 66 | 67 | 68 | 0 | 68 | 76 | 25 | 1,250,000$/3yrs | |||
![]() | 25 | C/LW/RW | 100.00 | 65 | 32 | 88 | 67 | 68 | 75 | 68 | 66 | 75 | 65 | 66 | 67 | 66 | 68 | 67 | 0 | 43 | 76 | 26 | 1,000,000$/2yrs | |||
![]() | 0 | C/LW | 99.00 | 61 | 38 | 92 | 66 | 79 | 74 | 86 | 65 | 70 | 68 | 68 | 65 | 68 | 68 | 69 | 0 | 65 | 76 | 26 | 780,000$/1yrs | |||
![]() | 41 | C/LW | 99.00 | 73 | 40 | 78 | 62 | 78 | 71 | 87 | 60 | 46 | 63 | 63 | 68 | 63 | 68 | 70 | 0 | 68 | 74 | 26 | 800,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 37 | 87 | 64 | 66 | 72 | 83 | 62 | 53 | 64 | 65 | 65 | 64 | 65 | 66 | 0 | 68 | 74 | 24 | 807,500$/1yrs | |||
![]() | 90 | C | 100.00 | 66 | 39 | 81 | 62 | 71 | 62 | 75 | 60 | 65 | 63 | 60 | 62 | 62 | 63 | 61 | 0 | 68 | 72 | 24 | 900,000$/1yrs | |||
![]() | 60 | RW | 100.00 | 65 | 38 | 87 | 60 | 74 | 66 | 73 | 58 | 50 | 61 | 57 | 62 | 59 | 59 | 61 | 0 | 57 | 70 | 21 | 820,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 66 | 38 | 86 | 61 | 72 | 65 | 73 | 60 | 45 | 57 | 63 | 58 | 60 | 59 | 61 | 0 | 30 | 70 | 21 | 925,000$/1yrs | |||
![]() | 0 | D | 99.00 | 73 | 33 | 90 | 60 | 79 | 77 | 71 | 64 | 30 | 67 | 61 | 73 | 62 | 70 | 69 | 0 | 68 | 78 | 26 | 900,000$/1yrs | |||
![]() | 0 | D | 99.00 | 77 | 37 | 82 | 58 | 75 | 81 | 76 | 63 | 30 | 63 | 60 | 81 | 62 | 70 | 70 | 0 | 65 | 78 | 27 | 950,000$/2yrs | |||
![]() | 0 | D | 100.00 | 66 | 33 | 90 | 56 | 79 | 83 | 72 | 62 | 30 | 62 | 58 | 80 | 60 | 76 | 75 | 0 | 43 | 77 | 30 | 1,000,000$/1yrs | |||
![]() | 77 | D | 100.00 | 78 | 39 | 71 | 57 | 85 | 84 | 86 | 63 | 30 | 65 | 59 | 76 | 61 | 71 | 68 | 0 | 68 | 77 | 27 | 788,000$/1yrs | |||
![]() | 49 | D | 100.00 | 89 | 41 | 59 | 61 | 72 | 71 | 84 | 60 | 30 | 65 | 59 | 68 | 62 | 68 | 72 | 0 | 68 | 76 | 26 | 1,100,000$/1yrs | |||
![]() | 0 | D | 99.00 | 65 | 39 | 82 | 70 | 77 | 66 | 68 | 62 | 30 | 73 | 62 | 63 | 67 | 58 | 56 | 0 | 68 | 76 | 21 | 823,333$/2yrs | |||
![]() | 0 | D | 100.00 | 70 | 40 | 81 | 62 | 85 | 70 | 85 | 59 | 30 | 66 | 59 | 65 | 63 | 65 | 67 | 0 | 68 | 75 | 24 | 1,100,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 61 | C | 98.90 | 61 | 39 | 88 | 62 | 75 | 64 | 76 | 62 | 65 | 61 | 66 | 65 | 63 | 68 | 67 | 0 | 49 | 73 | 27 | 775,000$/1yrs | |||
![]() | 59 | RW | 100.00 | 64 | 39 | 84 | 59 | 80 | 60 | 70 | 58 | 65 | 56 | 61 | 63 | 59 | 63 | 61 | 0 | 20 | 70 | 24 | ||||
![]() | 0 | C/RW | 100.00 | 60 | 38 | 93 | 61 | 71 | 67 | 73 | 61 | 68 | 64 | 57 | 60 | 61 | 61 | 62 | 0 | 57 | 70 | 22 | 859,167$/2yrs | |||
![]() | 0 | RW | 100.00 | 56 | 36 | 92 | 57 | 64 | 66 | 67 | 56 | 51 | 54 | 53 | 52 | 59 | 62 | 64 | 0 | 20 | 65 | 23 | ||||
![]() | 0 | D | 100.00 | 71 | 39 | 80 | 61 | 72 | 69 | 89 | 59 | 30 | 65 | 57 | 65 | 61 | 65 | 67 | 0 | 20 | 74 | 24 | 900,000$/2yrs | |||
![]() | 0 | D | 100.00 | 80 | 40 | 70 | 63 | 70 | 68 | 89 | 59 | 30 | 66 | 56 | 64 | 61 | 59 | 56 | 0 | 20 | 74 | 22 | 775,000$/2yrs | |||
![]() | 58 | D | 100.00 | 72 | 39 | 79 | 57 | 72 | 69 | 80 | 58 | 30 | 61 | 57 | 69 | 59 | 68 | 70 | 0 | 20 | 73 | 25 | 900,000$/2yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 68 | 68 | 69 | 78 | 71 | 69 | 74 | 82 | 76 | 82 | 74 | 69 | 72 | 0 | 72 | 78 | 26 | 950,000$/1yrs |
![]() | 0 | 97.00 | 73 | 69 | 70 | 67 | 78 | 76 | 73 | 73 | 76 | 76 | 74 | 62 | 65 | 0 | 72 | 77 | 22 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 73 | 65 | 66 | 83 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 66 | 75 | 0 | 26 | 76 | 27 | 775,000$/2yrs |
![]() | 0 | 100.00 | 65 | 68 | 66 | 88 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 60 | 63 | 0 | 30 | 71 | 21 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Boughner | 77 | 78 | 78 | 82 | 74 | 68 | 78 | CAN | 51 | 1 | 500,000$ |
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dysin Mayo | D | 21 | 7 | 17 | 24 | 13 | 18 | 0 | 43 | 51 | 17 | 42 | 13.73% | 38 | 24.56 | 0 | 8 | 8 | 76 | 0 | 1 | 1 | 53 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | ||
2 | Jakub Zboril | D | 21 | 5 | 18 | 23 | 15 | 14 | 0 | 23 | 60 | 11 | 43 | 8.33% | 18 | 24.73 | 1 | 4 | 5 | 76 | 2 | 0 | 2 | 57 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | ||
3 | Yegor Sokolov | LW/RW | 21 | 10 | 12 | 22 | 10 | 40 | 10 | 38 | 65 | 19 | 30 | 15.38% | 4 | 16.05 | 3 | 3 | 6 | 73 | 1 | 0 | 1 | 28 | 3 | 0 | 36.36% | 44 | 0 | 0 | 0 | 0 | 1.31 | 0 | 1 | ||
4 | Alex Limoges | C/LW | 21 | 9 | 13 | 22 | 3 | 5 | 5 | 11 | 60 | 17 | 43 | 15.00% | 4 | 15.66 | 5 | 6 | 11 | 64 | 0 | 0 | 0 | 0 | 2 | 0 | 53.88% | 425 | 0 | 0 | 0 | 0 | 1.34 | 0 | 1 | ||
5 | Jonny Brodzinski | C/RW | 21 | 10 | 11 | 21 | 9 | 4 | 0 | 34 | 61 | 26 | 40 | 16.39% | 6 | 19.58 | 5 | 3 | 8 | 81 | 0 | 0 | 0 | 69 | 1 | 0 | 66.00% | 50 | 0 | 0 | 0 | 0 | 1.02 | 1 | 2 | ||
6 | Marian Studenic | LW/RW | 21 | 8 | 10 | 18 | 5 | 6 | 0 | 33 | 66 | 14 | 53 | 12.12% | 1 | 16.86 | 4 | 5 | 9 | 65 | 0 | 1 | 1 | 32 | 1 | 2 | 46.43% | 28 | 0 | 0 | 0 | 0 | 1.02 | 1 | 1 | ||
7 | Sam Gagner | C/LW/RW | 21 | 5 | 11 | 16 | 3 | 0 | 0 | 13 | 83 | 17 | 64 | 6.02% | 2 | 19.76 | 1 | 5 | 6 | 79 | 0 | 1 | 1 | 75 | 0 | 0 | 56.78% | 634 | 0 | 0 | 0 | 0 | 0.77 | 0 | 2 | ||
8 | Derick Brassard | C/LW | 21 | 6 | 8 | 14 | 13 | 8 | 0 | 28 | 62 | 12 | 28 | 9.68% | 2 | 14.27 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 2 | 0 | 58.73% | 378 | 0 | 0 | 0 | 0 | 0.93 | 1 | 1 | ||
9 | Niko Mikkola | D | 21 | 4 | 10 | 14 | 2 | 22 | 0 | 52 | 45 | 14 | 34 | 8.89% | 32 | 20.00 | 3 | 5 | 8 | 67 | 0 | 1 | 1 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
10 | Henry Bowlby | C/LW | 21 | 4 | 7 | 11 | 10 | 6 | 0 | 40 | 34 | 13 | 25 | 11.76% | 4 | 13.97 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 2 | 0 | 0 | 40.74% | 27 | 0 | 0 | 0 | 0 | 0.75 | 1 | 1 | ||
11 | Maxim Letunov | C | 16 | 3 | 7 | 10 | 8 | 4 | 0 | 5 | 33 | 6 | 14 | 9.09% | 6 | 10.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 52.76% | 199 | 0 | 0 | 0 | 0 | 1.14 | 1 | 1 | ||
12 | Wyatt Kalynuk | D | 21 | 2 | 8 | 10 | 10 | 32 | 0 | 63 | 9 | 1 | 11 | 22.22% | 17 | 15.25 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
13 | Brady Lyle | D | 21 | 2 | 8 | 10 | 12 | 2 | 0 | 3 | 9 | 2 | 8 | 22.22% | 6 | 15.95 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 22 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.60 | 0 | 0 | ||
14 | James Hamblin | C/LW | 21 | 3 | 7 | 10 | 3 | 8 | 0 | 21 | 37 | 4 | 31 | 8.11% | 4 | 13.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 1 | 0 | 60.61% | 33 | 0 | 0 | 0 | 0 | 0.69 | 0 | 1 | ||
15 | Jeremie Poirier | D | 21 | 2 | 8 | 10 | 4 | 4 | 0 | 16 | 23 | 18 | 21 | 8.70% | 13 | 20.03 | 1 | 2 | 3 | 66 | 0 | 1 | 1 | 52 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 1 | ||
16 | Antoine Morand | C | 21 | 5 | 1 | 6 | 12 | 4 | 0 | 19 | 19 | 6 | 22 | 26.32% | 1 | 12.10 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 1 | 0 | 0 | 55.56% | 27 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
17 | Arttu Ruotsalainen | C/LW/RW | 10 | 4 | 1 | 5 | 0 | 0 | 0 | 9 | 16 | 4 | 15 | 25.00% | 1 | 13.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 62.50% | 8 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | ||
18 | Lukas Svejkovsky | C/RW | 17 | 1 | 4 | 5 | 3 | 2 | 0 | 11 | 28 | 5 | 16 | 3.57% | 0 | 14.91 | 1 | 3 | 4 | 48 | 0 | 0 | 0 | 0 | 0 | 0 | 52.38% | 21 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
19 | Zayde Wisdom | RW | 16 | 1 | 1 | 2 | 2 | 2 | 0 | 14 | 11 | 1 | 7 | 9.09% | 1 | 7.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 7 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
20 | Tucker Poolman | D | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.54 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Carter Savoie | LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 388 | 91 | 162 | 253 | 137 | 181 | 15 | 476 | 772 | 207 | 547 | 11.79% | 160 | 16.01 | 24 | 44 | 68 | 738 | 3 | 6 | 9 | 471 | 16 | 3 | 55.50% | 1881 | 0 | 0 | 1 | 0 | 0.81 | 5 | 12 |
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 | Felix Sandstrom | 10 | 9 | 1 | 0 | 0.931 | 2.08 | 607 | 2 | 2 | 21 | 304 | 0 | 0 | 0 | 0.700 | 10 | 10 | 11 | 0 | 1 | 0 | |
2 | Jet Greaves | 11 | 9 | 1 | 1 | 0.928 | 2.25 | 667 | 0 | 1 | 25 | 345 | 0 | 2 | 0 | 1.000 | 3 | 11 | 10 | 3 | 1 | 0 | |
Team Total or Average | 21 | 18 | 2 | 1 | 0.929 | 2.17 | 1274 | 2 | 3 | 46 | 649 | 0 | 2 | 0 | 0.769 | 13 | 21 | 21 | 3 | 2 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Limoges | C/LW | 26 | 780,000$ | 780,000$ | |||||||
Antoine Morand | C | 24 | 900,000$ | 900,000$ | |||||||
Arttu Ruotsalainen | C/LW/RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Brady Lyle | D | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | |||||
Carter Savoie | LW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Derick Brassard | C/LW | 36 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Dmitry Zavgorodniy | RW | 23 | 0$ | RFA | |||||||
Dysin Mayo | D | 27 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Felix Sandstrom | G | 26 | 950,000$ | 950,000$ | |||||||
Frederic Allard | D | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
Henry Bowlby | C/LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Jakub Pour | RW | 24 | 0$ | ||||||||
Jakub Zboril | D | 26 | 900,000$ | 900,000$ | |||||||
James Hamblin | C/LW | 24 | 807,500$ | 807,500$ | |||||||
Jeremie Poirier | D | 21 | 823,333$ | 823,333$ | 823,333$ | RFA | |||||
Jet Greaves | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
John Lethemon | G | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jonny Brodzinski | C/RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Louka Heneault | D | 22 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Lukas Svejkovsky | C/RW | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Marc Del Gaizo | D | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Marian Studenic | LW/RW | 25 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Maxim Letunov | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Niko Mikkola | D | 27 | 788,000$ | 788,000$ | UFA | ||||||
Rasmus Korhonen | G | 21 | 0$ | RFA | |||||||
Sam Gagner | C/LW/RW | 34 | 850,000$ | 850,000$ | UFA | ||||||
Tucker Poolman | D | 30 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Wyatt Kalynuk | D | 26 | 1,100,000$ | 1,100,000$ | |||||||
Yegor Sokolov | LW/RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Zayde Wisdom | RW | 21 | 820,000$ | 820,000$ | 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 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 41 | 30 | 19 | 6 | 66 | 282 | 245 | 238 | 19 | 70 | 16 | 15 | 47 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 1 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 55.6% | 9.1% | 94.3% | 103.4 | LUCKY | |
2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 41 | 30 | 19 | 6 | 84 | 282 | 245 | 238 | 19 | 53 | 8 | 10 | 45 | 15 | 4 | 26.67% | 5 | 0 | 100.00% | 0 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 50.0% | 10.7% | 90.6% | 101.3 | FUN | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 41 | 30 | 19 | 6 | 32 | 282 | 245 | 238 | 19 | 38 | 11 | 8 | 18 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 66.7% | 6.3% | 97.4% | 103.6 | DULL | |
4 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 15 | 12 | 3 | 6 | 1.000 | 15 | 25 | 40 | 0 | 0 | 41 | 30 | 19 | 6 | 104 | 282 | 245 | 238 | 19 | 107 | 20 | 31 | 62 | 12 | 3 | 25.00% | 8 | 3 | 62.50% | 1 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 57.1% | 14.4% | 88.8% | 103.2 | FUN | |
5 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 3 | 6 | 0 | 0 | 41 | 30 | 19 | 6 | 60 | 282 | 245 | 238 | 19 | 46 | 17 | 12 | 41 | 13 | 1 | 7.69% | 6 | 0 | 100.00% | 0 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 40.0% | 5.0% | 93.5% | 98.5 | DULL | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 41 | 30 | 19 | 6 | 29 | 282 | 245 | 238 | 19 | 54 | 13 | 14 | 23 | 9 | 3 | 33.33% | 7 | 2 | 71.43% | 1 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 33.3% | 17.2% | 88.9% | 106.1 | FUN | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 20 | 4 | 1.000 | 20 | 36 | 56 | 0 | 2 | 41 | 30 | 19 | 6 | 138 | 282 | 245 | 238 | 19 | 38 | 8 | 14 | 64 | 4 | 3 | 75.00% | 7 | 0 | 100.00% | 0 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 100.0% | 14.5% | 100.0% | 114.5 | LUCKY | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 14 | 21 | 0 | 1 | 41 | 30 | 19 | 6 | 76 | 282 | 245 | 238 | 19 | 49 | 14 | 10 | 46 | 11 | 2 | 18.18% | 5 | 0 | 100.00% | 0 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 71.4% | 9.2% | 95.9% | 105.1 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 41 | 30 | 19 | 6 | 51 | 282 | 245 | 238 | 19 | 68 | 14 | 22 | 43 | 4 | 1 | 25.00% | 10 | 0 | 100.00% | 0 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 63.6% | 15.7% | 94.1% | 109.8 | LUCKY | |
10 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 9 | 9 | 8 | 1.000 | 18 | 32 | 50 | 0 | 0 | 41 | 30 | 19 | 6 | 132 | 282 | 245 | 238 | 19 | 126 | 39 | 47 | 87 | 11 | 6 | 54.55% | 13 | 2 | 84.62% | 0 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 63.2% | 13.6% | 92.9% | 106.5 | LUCKY | |
_Vs Division | 16 | 6 | 2 | 0 | 1 | 1 | 2 | 0 | 62 | 40 | 22 | 19 | 0.594 | 62 | 107 | 169 | 0 | 1 | 41 | 30 | 19 | 6 | 518 | 282 | 245 | 238 | 19 | 520 | 133 | 151 | 349 | 66 | 17 | 25.76% | 52 | 7 | 86.54% | 3 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 57.7% | 12.0% | 92.3% | 104.3 | LUCKY | |
_Vs Conference | 21 | 15 | 2 | 0 | 1 | 1 | 2 | 0 | 93 | 46 | 47 | 37 | 0.881 | 93 | 162 | 255 | 0 | 3 | 41 | 30 | 19 | 6 | 772 | 282 | 245 | 238 | 19 | 649 | 160 | 183 | 476 | 89 | 24 | 26.97% | 68 | 7 | 89.71% | 3 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 63.9% | 12.0% | 92.9% | 105.0 | LUCKY | |
_Since Last GM Reset | 21 | 15 | 2 | 0 | 1 | 1 | 2 | 0 | 93 | 46 | 47 | 37 | 0.881 | 93 | 162 | 255 | 0 | 3 | 41 | 30 | 19 | 6 | 772 | 282 | 245 | 238 | 19 | 649 | 160 | 183 | 476 | 89 | 24 | 26.97% | 68 | 7 | 89.71% | 3 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 63.9% | 12.0% | 92.9% | 105.0 | LUCKY | |
Total | 21 | 15 | 2 | 0 | 1 | 1 | 2 | 0 | 93 | 46 | 47 | 37 | 0.881 | 93 | 162 | 255 | 0 | 3 | 41 | 30 | 19 | 6 | 772 | 282 | 245 | 238 | 19 | 649 | 160 | 183 | 476 | 89 | 24 | 26.97% | 68 | 7 | 89.71% | 3 | 441 | 792 | 55.68% | 420 | 737 | 56.99% | 183 | 336 | 54.46% | 540 | 380 | 466 | 156 | 268 | 137 | 63.9% | 12.0% | 92.9% | 105.0 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 792 |
Neutral Zone Start | 336 |
Defensive Zone Start | 737 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 1044 |
Faceoffs Lost | 821 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.4 | 9.57 |
2nd Period | 25.1 | 20.31 |
3rd Period | 36.4 | 30.68 |
Overtime | 37.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 2.0 | 0.64 |
2nd Period | 3.4 | 1.65 |
3rd Period | 4.3 | 2.67 |
Overtime | 4.6 | 2.83 |
Even Strenght Goal | 66 |
---|---|
PP Goal | 24 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 8 | 10 |
Lost | 1 | 1 |
Overtime Lost | 1 | 0 |
PP Attempt | 89 |
---|---|
PP Goal | 24 |
PK Attempt | 68 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 36.8 |
Shots Against | 30.9 |
Goals For | 4.4 |
Goals Against | 2.2 |
Hits | 22.7 |
Shots Blocked | 7.6 |
Pim | 8.7 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,437,800$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Tucson | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
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 |
26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,437,800$ | 2,437,800$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
889,398$ | 12,502$ | 735,558$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 132 | 15,066$ | 2,033,910$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,033,910$ | 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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