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Tucson Roadrunners 8-11-2, 18pts · 13th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Drake Caggiula | 0 | C/LW | 100.00 | 70 | 39 | 76 | 58 | 67 | 70 | 83 | 66 | 77 | 61 | 60 | 69 | 61 | 74 | 71 | 0 | 39 | 73 | 30 | 800,000$/2yrs | |||
Alex Limoges | 0 | C/LW | 100.00 | 60 | 39 | 91 | 60 | 79 | 70 | 87 | 63 | 70 | 61 | 62 | 67 | 62 | 68 | 67 | 0 | 39 | 72 | 27 | 900,000$/2yrs | |||
Austin Watson | 0 | LW/RW | 100.00 | 82 | 73 | 50 | 55 | 83 | 71 | 82 | 57 | 59 | 54 | 61 | 75 | 59 | 80 | 75 | 0 | 46 | 71 | 32 | 800,000$/1yrs | |||
Joe Snively | 0 | LW | 100.00 | 58 | 32 | 99 | 59 | 66 | 75 | 67 | 59 | 62 | 60 | 63 | 56 | 61 | 73 | 72 | 0 | 39 | 71 | 28 | 800,000$/2yrs | |||
Yegor Sokolov | 0 | LW/RW | 100.00 | 75 | 42 | 66 | 60 | 89 | 67 | 90 | 61 | 44 | 60 | 60 | 64 | 60 | 63 | 59 | 0 | 39 | 71 | 24 | 1,000,000$/2yrs | |||
Gerry Mayhew | 0 | C/RW | 99.00 | 71 | 38 | 73 | 56 | 61 | 70 | 89 | 68 | 82 | 51 | 52 | 72 | 59 | 77 | 74 | 0 | 39 | 70 | 31 | 800,000$/1yrs | |||
Fredrik Karlstrom | 0 | C | 99.00 | 60 | 38 | 92 | 56 | 78 | 66 | 85 | 62 | 68 | 56 | 57 | 66 | 57 | 66 | 65 | 0 | 39 | 69 | 26 | 800,000$/2yrs | |||
Henry Bowlby | 41 | C/LW | 100.00 | 69 | 40 | 76 | 52 | 78 | 63 | 78 | 64 | 67 | 52 | 54 | 68 | 53 | 68 | 65 | 0 | 39 | 68 | 27 | 800,000$/1yrs | |||
James Hamblin | 0 | C/LW | 100.00 | 58 | 32 | 97 | 55 | 66 | 69 | 71 | 53 | 78 | 53 | 56 | 60 | 54 | 67 | 66 | 0 | 34 | 66 | 25 | 850,000$/1yrs | |||
Judd Caulfield (R) | 0 | RW | 100.00 | 62 | 39 | 87 | 53 | 83 | 62 | 77 | 61 | 49 | 52 | 52 | 64 | 52 | 61 | 59 | 0 | 39 | 66 | 23 | 837,500$/1yrs | |||
Carter Savoie (R) | 0 | LW | 100.00 | 62 | 38 | 87 | 53 | 72 | 61 | 84 | 60 | 49 | 50 | 53 | 63 | 51 | 59 | 58 | 0 | 39 | 65 | 22 | 800,000$/2yrs | |||
Trevor Kuntar (R) | 0 | C | 100.00 | 87 | 42 | 50 | 51 | 76 | 60 | 77 | 61 | 65 | 49 | 51 | 64 | 50 | 61 | 56 | 0 | 40 | 65 | 23 | 867,500$/1yrs | |||
Louka Heneault | 0 | D | 99.00 | 80 | 40 | 70 | 63 | 70 | 68 | 60 | 59 | 30 | 58 | 48 | 64 | 61 | 59 | 56 | 0 | 37 | 70 | 23 | 775,000$/1yrs | |||
Dysin Mayo | 0 | D | 99.00 | 79 | 32 | 81 | 55 | 74 | 75 | 67 | 50 | 30 | 50 | 50 | 68 | 50 | 71 | 69 | 0 | 39 | 68 | 28 | 950,000$/1yrs | |||
Marc Del Gaizo | 0 | D | 100.00 | 69 | 39 | 79 | 54 | 72 | 65 | 87 | 51 | 30 | 59 | 49 | 66 | 54 | 64 | 62 | 0 | 39 | 68 | 25 | 900,000$/1yrs | |||
Mikael Diotte | 0 | D | 100.00 | 70 | 40 | 76 | 60 | 78 | 66 | 84 | 58 | 48 | 53 | 49 | 63 | 59 | 58 | 55 | 0 | 39 | 68 | 21 | 950,000$/3yrs | |||
Brady Lyle | 0 | D | 100.00 | 72 | 41 | 71 | 50 | 86 | 63 | 82 | 49 | 30 | 56 | 51 | 66 | 54 | 64 | 61 | 0 | 36 | 67 | 25 | 1,100,000$/2yrs | |||
Vittorio Mancini (R) | 0 | D | 100.00 | 53 | 39 | 96 | 51 | 89 | 63 | 91 | 51 | 30 | 53 | 53 | 64 | 53 | 61 | 60 | 0 | 35 | 66 | 22 | 870,000$/2yrs | |||
Saige Weinstein | 0 | D | 100.00 | 90 | 42 | 50 | 58 | 70 | 63 | 60 | 53 | 30 | 50 | 46 | 59 | 56 | 54 | 49 | 0 | 22 | 65 | 19 | 800,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Arttu Ruotsalainen | 25 | C/LW/RW | 100.00 | 65 | 32 | 88 | 67 | 68 | 75 | 60 | 66 | 75 | 57 | 58 | 67 | 66 | 68 | 67 | 0 | 20 | 72 | 27 | 1,000,000$/1yrs | |||
Antoine Morand | 90 | C | 100.00 | 66 | 39 | 81 | 62 | 71 | 62 | 60 | 60 | 65 | 55 | 52 | 62 | 62 | 63 | 61 | 0 | 20 | 68 | 25 | ||||
Jakub Pour | 59 | RW | 100.00 | 64 | 39 | 84 | 59 | 80 | 60 | 60 | 58 | 65 | 48 | 53 | 63 | 59 | 63 | 61 | 0 | 20 | 66 | 25 | ||||
Lukas Svejkovsky (R) | 0 | C/RW | 100.00 | 60 | 37 | 91 | 51 | 63 | 60 | 77 | 61 | 47 | 51 | 48 | 64 | 50 | 61 | 60 | 0 | 37 | 64 | 22 | 859,167$/1yrs | |||
Zayde Wisdom (R) | 60 | RW | 100.00 | 64 | 39 | 85 | 49 | 74 | 58 | 81 | 60 | 43 | 48 | 48 | 63 | 48 | 59 | 57 | 0 | 21 | 63 | 22 | 979,500$/1yrs | |||
Dmitry Zavgorodniy | 0 | RW | 100.00 | 56 | 36 | 92 | 57 | 64 | 66 | 60 | 56 | 51 | 46 | 45 | 52 | 59 | 62 | 64 | 0 | 20 | 62 | 24 | ||||
Jakub Zboril | 0 | D | 100.00 | 73 | 33 | 90 | 55 | 79 | 77 | 68 | 57 | 30 | 60 | 56 | 67 | 57 | 71 | 70 | 0 | 21 | 72 | 27 | 775,000$/1yrs | |||
Emil Lilleberg (R) | 0 | D | 71.36 | 86 | 33 | 85 | 55 | 77 | 82 | 71 | 56 | 30 | 60 | 50 | 65 | 53 | 64 | 62 | 0 | 35 | 71 | 23 | 775,000$/1yrs | |||
Wyatt Kalynuk | 49 | D | 100.00 | 79 | 41 | 60 | 47 | 72 | 62 | 87 | 46 | 30 | 52 | 49 | 68 | 50 | 68 | 64 | 0 | 35 | 65 | 27 | 800,000$/1yrs | |||
Hardy Haman Aktell (R) | 0 | D | 100.00 | 67 | 39 | 80 | 46 | 81 | 61 | 74 | 45 | 30 | 51 | 47 | 66 | 49 | 66 | 64 | 0 | 24 | 64 | 26 | 775,000$/1yrs | |||
Frederic Allard | 58 | D | 100.00 | 70 | 39 | 73 | 44 | 72 | 61 | 72 | 44 | 30 | 49 | 47 | 67 | 48 | 68 | 65 | 0 | 20 | 63 | 26 | 900,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Felix Sandstrom | 0 | 100.00 | 66 | 69 | 69 | 78 | 64 | 62 | 68 | 76 | 69 | 76 | 68 | 70 | 74 | 0 | 42 | 74 | 27 | 1,000,000$/2yrs |
John Lethemon | 0 | 97.00 | 67 | 68 | 67 | 78 | 65 | 73 | 70 | 67 | 73 | 70 | 70 | 70 | 70 | 0 | 31 | 74 | 28 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
Jet Greaves | 0 | 100.00 | 78 | 63 | 67 | 74 | 69 | 56 | 72 | 73 | 69 | 72 | 72 | 64 | 67 | 0 | 40 | 73 | 23 | 900,000$/2yrs |
Rasmus Korhonen | 0 | 100.00 | 65 | 68 | 66 | 88 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 60 | 63 | 0 | 30 | 71 | 22 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Boughner | 72 | 73 | 73 | 82 | 74 | 68 | 78 | CAN | 52 | 5 | 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 | Drake Caggiula | Roadrunners (UTA) | C/LW | 21 | 4 | 11 | 15 | -15 | 2 | 0 | 23 | 59 | 19 | 47 | 6.78% | 6 | 18.20 | 1 | 8 | 9 | 60 | 0 | 0 | 0 | 51 | 0 | 0 | 61.07% | 131 | 0 | 0 | 0 | 0 | 0.78 | 0 | 1 | |
2 | Gerry Mayhew | Roadrunners (UTA) | C/RW | 21 | 7 | 5 | 12 | 2 | 14 | 0 | 43 | 60 | 10 | 53 | 11.67% | 2 | 15.00 | 1 | 1 | 2 | 23 | 0 | 0 | 0 | 24 | 1 | 0 | 59.71% | 206 | 0 | 0 | 0 | 0 | 0.76 | 0 | 1 | |
3 | Alex Limoges | Roadrunners (UTA) | C/LW | 21 | 5 | 6 | 11 | 1 | 6 | 0 | 8 | 61 | 13 | 48 | 8.20% | 3 | 16.88 | 2 | 4 | 6 | 66 | 0 | 0 | 0 | 23 | 0 | 1 | 52.80% | 339 | 0 | 0 | 0 | 0 | 0.62 | 1 | 2 | |
4 | Marc Del Gaizo | Roadrunners (UTA) | D | 21 | 4 | 5 | 9 | -3 | 8 | 0 | 22 | 27 | 4 | 14 | 14.81% | 21 | 20.38 | 3 | 1 | 4 | 57 | 0 | 0 | 0 | 44 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
5 | Joe Snively | Roadrunners (UTA) | LW | 21 | 3 | 5 | 8 | -3 | 0 | 0 | 4 | 43 | 11 | 29 | 6.98% | 1 | 16.36 | 2 | 3 | 5 | 45 | 0 | 0 | 0 | 42 | 2 | 0 | 61.90% | 42 | 0 | 0 | 0 | 0 | 0.47 | 0 | 1 | |
6 | Yegor Sokolov | Roadrunners (UTA) | LW/RW | 21 | 1 | 7 | 8 | -14 | 16 | 0 | 50 | 44 | 15 | 39 | 2.27% | 1 | 15.03 | 0 | 3 | 3 | 63 | 0 | 0 | 0 | 2 | 1 | 0 | 33.33% | 18 | 0 | 0 | 0 | 0 | 0.51 | 1 | 1 | |
7 | Louka Heneault | Roadrunners (UTA) | D | 18 | 1 | 7 | 8 | -3 | 12 | 0 | 43 | 27 | 14 | 25 | 3.70% | 15 | 20.31 | 1 | 3 | 4 | 60 | 0 | 0 | 0 | 21 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
8 | Emil Lilleberg | Roadrunners (UTA) | D | 13 | 1 | 7 | 8 | -2 | 6 | 0 | 43 | 17 | 7 | 10 | 5.88% | 29 | 23.89 | 1 | 2 | 3 | 42 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
9 | Fredrik Karlstrom | Roadrunners (UTA) | C | 21 | 3 | 4 | 7 | 0 | 6 | 0 | 7 | 44 | 9 | 26 | 6.82% | 9 | 13.54 | 0 | 1 | 1 | 17 | 0 | 0 | 0 | 17 | 0 | 0 | 57.75% | 329 | 0 | 0 | 1 | 0 | 0.49 | 0 | 0 | |
10 | Henry Bowlby | Roadrunners (UTA) | C/LW | 21 | 4 | 3 | 7 | 3 | 6 | 0 | 48 | 38 | 18 | 34 | 10.53% | 7 | 13.37 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 26 | 0 | 1 | 59.42% | 69 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
11 | Brady Lyle | Roadrunners (UTA) | D | 21 | 1 | 6 | 7 | -8 | 19 | 5 | 36 | 13 | 9 | 14 | 7.69% | 24 | 18.14 | 0 | 3 | 3 | 18 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
12 | Carter Savoie | Roadrunners (UTA) | LW | 21 | 2 | 5 | 7 | 2 | 2 | 0 | 6 | 36 | 7 | 30 | 5.56% | 1 | 11.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34.78% | 23 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
13 | Trevor Kuntar | Roadrunners (UTA) | C | 19 | 2 | 4 | 6 | -6 | 24 | 0 | 64 | 41 | 11 | 28 | 4.88% | 2 | 13.81 | 2 | 2 | 4 | 40 | 0 | 0 | 0 | 0 | 1 | 0 | 53.82% | 314 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
14 | Mikael Diotte | Roadrunners (UTA) | D | 18 | 2 | 4 | 6 | -2 | 29 | 5 | 25 | 12 | 5 | 10 | 16.67% | 27 | 15.82 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
15 | Judd Caulfield | Roadrunners (UTA) | RW | 21 | 2 | 3 | 5 | 0 | 2 | 0 | 16 | 31 | 9 | 26 | 6.45% | 1 | 12.43 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 57.89% | 19 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
16 | Dysin Mayo | Roadrunners (UTA) | D | 21 | 1 | 3 | 4 | -3 | 14 | 0 | 21 | 23 | 9 | 14 | 4.35% | 28 | 21.51 | 1 | 2 | 3 | 62 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
17 | Wyatt Kalynuk | Roadrunners (UTA) | D | 11 | 0 | 3 | 3 | -5 | 12 | 0 | 43 | 7 | 5 | 6 | 0.00% | 10 | 16.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
18 | Hardy Haman Aktell | Roadrunners (UTA) | D | 7 | 1 | 2 | 3 | -1 | 4 | 0 | 13 | 7 | 5 | 2 | 14.29% | 6 | 19.36 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 8 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
19 | Austin Watson | Roadrunners (UTA) | LW/RW | 6 | 2 | 0 | 2 | -5 | 2 | 0 | 13 | 25 | 6 | 14 | 8.00% | 4 | 18.09 | 2 | 0 | 2 | 18 | 0 | 0 | 0 | 6 | 0 | 0 | 71.43% | 7 | 0 | 0 | 0 | 0 | 0.37 | 0 | 1 | |
20 | Lukas Svejkovsky | Roadrunners (UTA) | C/RW | 15 | 1 | 1 | 2 | -2 | 0 | 0 | 2 | 29 | 9 | 22 | 3.45% | 2 | 12.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 18 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
21 | Zayde Wisdom | Roadrunners (UTA) | RW | 4 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 3 | 2 | 4 | 0.00% | 1 | 12.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
22 | Vittorio Mancini | Roadrunners (UTA) | D | 3 | 1 | 0 | 1 | -2 | 0 | 0 | 1 | 2 | 0 | 1 | 50.00% | 3 | 17.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
23 | Jakub Zboril | Roadrunners (UTA) | D | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 7 | 0 | 2 | 0.00% | 7 | 23.68 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
24 | James Hamblin | Roadrunners (UTA) | C/LW | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0.00% | 0 | 1.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78.95% | 19 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
25 | Saige Weinstein | Roadrunners (UTA) | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.20 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 386 | 48 | 92 | 140 | -66 | 184 | 10 | 533 | 657 | 199 | 498 | 7.31% | 210 | 15.76 | 16 | 34 | 50 | 606 | 0 | 0 | 0 | 434 | 7 | 3 | 55.92% | 1538 | 0 | 0 | 1 | 0 | 0.46 | 2 | 7 |
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 | John Lethemon | Roadrunners (UTA) | 11 | 4 | 6 | 1 | 0.899 | 3.16 | 645 | 2 | 0 | 34 | 338 | 0 | 0 | 0 | 0.714 | 7 | 11 | 1 | 1 | 0 | 0 |
2 | Felix Sandstrom | Roadrunners (UTA) | 7 | 3 | 2 | 1 | 0.922 | 2.33 | 386 | 0 | 0 | 15 | 193 | 0 | 0 | 0 | 0.000 | 0 | 6 | 12 | 0 | 0 | 2 |
3 | Jet Greaves | Roadrunners (UTA) | 4 | 1 | 3 | 0 | 0.899 | 3.01 | 239 | 0 | 0 | 12 | 119 | 0 | 0 | 0 | 0.000 | 0 | 4 | 8 | 0 | 0 | 0 |
Team Total or Average | 22 | 8 | 11 | 2 | 0.906 | 2.88 | 1271 | 2 | 0 | 61 | 650 | 0 | 0 | 0 | 0.714 | 7 | 21 | 21 | 1 | 0 | 2 |
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 | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Antoine Morand | C | 25 | 0$ | RFA | |||||||
Arttu Ruotsalainen | C/LW/RW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Austin Watson | LW/RW | 32 | 800,000$ | 800,000$ | UFA | ||||||
Brady Lyle | D | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | |||||
Carter Savoie | LW | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Dmitry Zavgorodniy | RW | 24 | 0$ | RFA | |||||||
Drake Caggiula | C/LW | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Dysin Mayo | D | 28 | 950,000$ | 950,000$ | UFA | ||||||
Emil Lilleberg | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Felix Sandstrom | G | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Frederic Allard | D | 26 | 900,000$ | 900,000$ | RFA | ||||||
Fredrik Karlstrom | C | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Gerry Mayhew | C/RW | 31 | 800,000$ | 800,000$ | UFA | ||||||
Hardy Haman Aktell | D | 26 | 775,000$ | 775,000$ | RFA | ||||||
Henry Bowlby | C/LW | 27 | 800,000$ | 800,000$ | UFA | ||||||
Jakub Pour | RW | 25 | 0$ | RFA | |||||||
Jakub Zboril | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
James Hamblin | C/LW | 25 | 850,000$ | 850,000$ | RFA | ||||||
Jet Greaves | G | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Joe Snively | LW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
John Lethemon | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Judd Caulfield | RW | 23 | 837,500$ | 837,500$ | RFA | ||||||
Louka Heneault | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Lukas Svejkovsky | C/RW | 22 | 859,167$ | 859,167$ | RFA | ||||||
Marc Del Gaizo | D | 25 | 900,000$ | 900,000$ | RFA | ||||||
Mikael Diotte | D | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Rasmus Korhonen | G | 22 | 0$ | RFA | |||||||
Saige Weinstein | D | 19 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Trevor Kuntar | C | 23 | 867,500$ | 867,500$ | RFA | ||||||
Vittorio Mancini | D | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Wyatt Kalynuk | D | 27 | 800,000$ | 800,000$ | UFA | ||||||
Yegor Sokolov | LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Zayde Wisdom | RW | 22 | 979,500$ | 979,500$ | 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 | Wranglers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 23 | 15 | 13 | 3 | 33 | 252 | 221 | 215 | 24 | 32 | 11 | 8 | 24 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 16.7% | 6.1% | 84.4% | 90.4 | Unlucky |
2 | Phantoms | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 23 | 15 | 13 | 3 | 34 | 252 | 221 | 215 | 24 | 38 | 8 | 6 | 22 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 50.0% | 5.9% | 92.1% | 98.0 | DULL |
3 | Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 23 | 15 | 13 | 3 | 28 | 252 | 221 | 215 | 24 | 28 | 8 | 10 | 26 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 33.3% | 7.1% | 85.7% | 92.9 | Unlucky |
4 | Eagles | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 23 | 15 | 13 | 3 | 46 | 252 | 221 | 215 | 24 | 29 | 9 | 4 | 20 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 50.0% | 8.7% | 89.7% | 98.4 | Unlucky |
5 | Canucks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 23 | 15 | 13 | 3 | 85 | 252 | 221 | 215 | 24 | 36 | 12 | 4 | 54 | 15 | 8 | 53.33% | 2 | 0 | 100.00% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 16.7% | 10.6% | 86.1% | 96.7 | FUN |
6 | Reign | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 23 | 15 | 13 | 3 | 105 | 252 | 221 | 215 | 24 | 80 | 27 | 19 | 78 | 13 | 4 | 30.77% | 5 | 0 | 100.00% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 45.5% | 8.6% | 92.5% | 101.1 | DULL |
7 | Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 23 | 15 | 13 | 3 | 19 | 252 | 221 | 215 | 24 | 42 | 12 | 18 | 21 | 2 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 33.3% | 5.3% | 92.9% | 98.1 | DULL |
8 | Condors | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 5 | 1 | 3 | 0.750 | 6 | 12 | 18 | 0 | 0 | 23 | 15 | 13 | 3 | 73 | 252 | 221 | 215 | 24 | 69 | 13 | 22 | 47 | 4 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 66.7% | 8.2% | 92.8% | 101.0 | DULL |
9 | Checkers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 23 | 15 | 13 | 3 | 26 | 252 | 221 | 215 | 24 | 45 | 8 | 29 | 26 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 100.0% | 3.8% | 95.6% | 99.4 | DULL |
10 | Moose | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 23 | 15 | 13 | 3 | 31 | 252 | 221 | 215 | 24 | 25 | 12 | 8 | 35 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 25.0% | 6.5% | 88.0% | 94.5 | Unlucky |
11 | Barracuda | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 2 | 0.250 | 6 | 11 | 17 | 0 | 0 | 23 | 15 | 13 | 3 | 118 | 252 | 221 | 215 | 24 | 133 | 52 | 43 | 97 | 17 | 2 | 11.76% | 17 | 4 | 76.47% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 30.8% | 5.1% | 90.2% | 95.3 | Unlucky |
12 | Silver Knights | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 10 | -1 | 4 | 0.667 | 9 | 15 | 24 | 0 | 0 | 23 | 15 | 13 | 3 | 107 | 252 | 221 | 215 | 24 | 93 | 22 | 16 | 75 | 10 | 1 | 10.00% | 8 | 1 | 87.50% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 47.1% | 8.4% | 89.2% | 97.7 | Unlucky |
_Vs Division | 15 | 6 | 7 | 0 | 0 | 1 | 1 | 0 | 41 | 44 | -3 | 15 | 0.500 | 41 | 74 | 115 | 0 | 0 | 23 | 15 | 13 | 3 | 521 | 252 | 221 | 215 | 24 | 443 | 137 | 112 | 375 | 65 | 16 | 24.62% | 44 | 7 | 84.09% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 40.3% | 7.9% | 90.1% | 97.9 | Unlucky | |
_Vs Conference | 17 | 6 | 7 | 0 | 1 | 1 | 1 | 1 | 47 | 50 | -3 | 18 | 0.529 | 47 | 84 | 131 | 0 | 0 | 23 | 15 | 13 | 3 | 598 | 252 | 221 | 215 | 24 | 497 | 158 | 124 | 430 | 72 | 18 | 25.00% | 49 | 7 | 85.71% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 40.3% | 7.9% | 89.9% | 97.8 | Unlucky | |
_Since Last GM Reset | 21 | 6 | 11 | 0 | 1 | 1 | 1 | 1 | 53 | 62 | -9 | 18 | 0.429 | 53 | 95 | 148 | 0 | 0 | 23 | 15 | 13 | 3 | 705 | 252 | 221 | 215 | 24 | 650 | 194 | 187 | 525 | 80 | 19 | 23.75% | 73 | 13 | 82.19% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 41.0% | 7.5% | 90.5% | 98.0 | Unlucky | |
Total | 21 | 6 | 11 | 0 | 1 | 1 | 1 | 1 | 53 | 62 | -9 | 18 | 0.429 | 53 | 95 | 148 | 0 | 0 | 23 | 15 | 13 | 3 | 705 | 252 | 221 | 215 | 24 | 650 | 194 | 187 | 525 | 80 | 19 | 23.75% | 73 | 13 | 82.19% | 0 | 451 | 816 | 55.27% | 410 | 690 | 59.42% | 174 | 326 | 53.37% | 506 | 337 | 482 | 162 | 285 | 145 | 41.0% | 7.5% | 90.5% | 98.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 816 |
Neutral Zone Start | 326 |
Defensive Zone Start | 690 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1035 |
Faceoffs Lost | 797 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.0 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 32.8 | 30.68 |
Overtime | 33.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 34 |
---|---|
PP Goal | 19 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 3 |
Lost | 3 | 8 |
Overtime Lost | 2 | 0 |
PP Attempt | 80 |
---|---|
PP Goal | 19 |
PK Attempt | 73 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 33.6 |
Shots Against | 31.0 |
Goals For | 2.5 |
Goals Against | 3.0 |
Hits | 25.0 |
Shots Blocked | 9.2 |
Pim | 8.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-07 | Moose | @ | Roadrunners | Moose3,Roadrunners2 (SO) | RECAP | |||||||||
2024-10-09 | Roadrunners | @ | Reign | Roadrunners3,Reign2 | RECAP | |||||||||
2024-10-11 | Roadrunners | @ | Barracuda | Roadrunners0,Barracuda3 | RECAP | |||||||||
2024-10-13 | Islanders | @ | Roadrunners | Islanders4,Roadrunners2 | RECAP | |||||||||
2024-10-16 | Silver Knights | @ | Roadrunners | Silver Knights3,Roadrunners4 (SO) | RECAP | |||||||||
2024-10-18 | Roadrunners | @ | Silver Knights | Roadrunners2,Silver Knights5 | RECAP | |||||||||
2024-10-19 | Roadrunners | @ | Barracuda | Roadrunners3,Barracuda2 | RECAP | |||||||||
2024-10-24 | Condors | @ | Roadrunners | Condors2,Roadrunners4 | RECAP | |||||||||
2024-10-25 | Roadrunners | @ | Barracuda | Roadrunners0,Barracuda4 | RECAP | |||||||||
2024-10-28 | Roadrunners | @ | Barracuda | Roadrunners3,Barracuda4 | RECAP | |||||||||
2024-10-29 | Canucks | @ | Roadrunners | Canucks2,Roadrunners7 | RECAP | |||||||||
2024-10-31 | Roadrunners | @ | Crunch | Roadrunners1,Crunch3 | RECAP | |||||||||
2024-11-02 | Eagles | @ | Roadrunners | Eagles3,Roadrunners4 (OT) | RECAP | |||||||||
2024-11-04 | Reign | @ | Roadrunners | Reign1,Roadrunners4 | RECAP | |||||||||
2024-11-06 | Roadrunners | @ | Canucks | Roadrunners2,Canucks3 | RECAP | |||||||||
2024-11-08 | Roadrunners | @ | Phantoms | Roadrunners2,Phantoms3 | RECAP | |||||||||
2024-11-12 | Roadrunners | @ | Silver Knights | Roadrunners3,Silver Knights2 | RECAP | |||||||||
2024-11-13 | Checkers | @ | Roadrunners | Checkers2,Roadrunners1 | RECAP | |||||||||
2024-11-15 | Condors | @ | Roadrunners | Condors3,Roadrunners2 (OT) | RECAP | |||||||||
2024-11-17 | Roadrunners | @ | Wranglers | Roadrunners2,Wranglers5 | RECAP | |||||||||
2024-11-18 | Reign | @ | Roadrunners | Reign3,Roadrunners2 | RECAP | |||||||||
2024-11-23 | Roadrunners | @ | Griffins | |||||||||||
2024-11-24 | Silver Knights | @ | Roadrunners | |||||||||||
2024-11-27 | Islanders | @ | Roadrunners | |||||||||||
2024-11-30 | Gulls | @ | Roadrunners | |||||||||||
2024-12-05 | Moose | @ | Roadrunners | |||||||||||
2024-12-10 | Roadrunners | @ | Wolf Pack | |||||||||||
2024-12-12 | Wolves | @ | Roadrunners | |||||||||||
2024-12-14 | Roadrunners | @ | Eagles | |||||||||||
2024-12-16 | Roadrunners | @ | Reign | |||||||||||
2024-12-18 | Wild | @ | Roadrunners | |||||||||||
2024-12-23 | Roadrunners | @ | Moose | |||||||||||
2024-12-26 | Senators | @ | Roadrunners | |||||||||||
2024-12-28 | Roadrunners | @ | Reign | |||||||||||
2024-12-29 | Rocket | @ | Roadrunners | |||||||||||
2025-01-01 | Roadrunners | @ | Phantoms | |||||||||||
2025-01-03 | Roadrunners | @ | Barracuda | |||||||||||
2025-01-04 | Admirals | @ | Roadrunners | |||||||||||
2025-01-07 | Roadrunners | @ | IceHogs | |||||||||||
2025-01-08 | Americans | @ | Roadrunners | |||||||||||
2025-01-12 | Eagles | @ | Roadrunners | |||||||||||
2025-01-13 | Roadrunners | @ | Wild | |||||||||||
2025-01-17 | Roadrunners | @ | Monsters | |||||||||||
2025-01-22 | Comets | @ | Roadrunners | |||||||||||
2025-01-23 | Roadrunners | @ | Stars | |||||||||||
2025-01-25 | Griffins | @ | Roadrunners | |||||||||||
2025-01-28 | Canucks | @ | Roadrunners | |||||||||||
2025-01-29 | Roadrunners | @ | Condors | |||||||||||
2025-02-01 | Roadrunners | @ | Penguins | |||||||||||
2025-02-02 | Gulls | @ | Roadrunners | |||||||||||
2025-02-06 | Roadrunners | @ | Firebirds | |||||||||||
2025-02-08 | IceHogs | @ | Roadrunners | |||||||||||
2025-02-11 | Marlies | @ | Roadrunners | |||||||||||
2025-02-13 | Roadrunners | @ | Thunderbirds | |||||||||||
2025-02-15 | Firebirds | @ | Roadrunners | |||||||||||
2025-02-17 | Roadrunners | @ | Wranglers | |||||||||||
2025-02-20 | Roadrunners | @ | Admirals | |||||||||||
2025-02-22 | Roadrunners | @ | Bears | |||||||||||
2025-02-23 | Barracuda | @ | Roadrunners | |||||||||||
2025-02-26 | Roadrunners | @ | Wolves | |||||||||||
2025-02-27 | Stars | @ | Roadrunners | |||||||||||
2025-03-02 | Bruins | @ | Roadrunners | |||||||||||
2025-03-03 | Roadrunners | @ | Condors | |||||||||||
2025-03-08 | Wranglers | @ | Roadrunners | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-13 | IceHogs | @ | Roadrunners | |||||||||||
2025-03-16 | Roadrunners | @ | Islanders | |||||||||||
2025-03-19 | Wranglers | @ | Roadrunners | |||||||||||
2025-03-21 | Roadrunners | @ | Canucks | |||||||||||
2025-03-24 | Moose | @ | Roadrunners | |||||||||||
2025-03-25 | Roadrunners | @ | Gulls | |||||||||||
2025-03-29 | Barracuda | @ | Roadrunners | |||||||||||
2025-04-04 | Roadrunners | @ | Gulls |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,248,867$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Tucson | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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 |
2,248,867$ | 2,248,867$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
733,643$ | 12,356$ | 607,268$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 150 | 15,104$ | 2,054,144$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,054,144$ | 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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