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Full Scoreboard »» |
| Tucson Roadrunners 15-8-4, 34pts · 7th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Belzile | 22 | C/LW/RW | 100.00 | 85 | 42 | 50 | 56 | 79 | 72 | 72 | 71 | 35 | 62 | 59 | 75 | 61 | 82 | 77 | 0 | 51 | 75 | 34 | 1,000,000$/1yrs | |||
Anthony Richard | 0 | C/LW | 100.00 | 72 | 32 | 96 | 61 | 71 | 75 | 69 | 62 | 55 | 66 | 63 | 60 | 62 | 72 | 72 | 0 | 51 | 74 | 28 | 875,000$/2yrs | |||
Ryan Schmelzer | 0 | C | 100.00 | 68 | 40 | 77 | 55 | 76 | 70 | 72 | 69 | 69 | 59 | 59 | 73 | 59 | 79 | 76 | 0 | 51 | 73 | 32 | 850,000$/2yrs | |||
Rodrigo Abols | 18 | C | 100.00 | 70 | 33 | 93 | 57 | 78 | 71 | 68 | 54 | 80 | 60 | 60 | 58 | 57 | 74 | 73 | 0 | 46 | 70 | 29 | 900,000$/1yrs | |||
Harrison Scott | 0 | C/LW | 100.00 | 69 | 39 | 76 | 58 | 72 | 68 | 90 | 57 | 71 | 57 | 60 | 67 | 59 | 65 | 62 | 0 | 51 | 69 | 25 | 975,000$/1yrs | |||
Dalton Bancroft | 0 | LW/RW | 100.00 | 87 | 42 | 55 | 57 | 83 | 67 | 89 | 56 | 65 | 56 | 59 | 67 | 58 | 65 | 60 | 0 | 51 | 69 | 24 | 950,000$/1yrs | |||
Jonah Gadjovich | 0 | LW | 100.00 | 85 | 73 | 50 | 55 | 83 | 69 | 78 | 56 | 61 | 53 | 59 | 58 | 57 | 69 | 64 | 0 | 46 | 68 | 27 | 800,000$/1yrs | |||
Jagger Firkus (R) | 0 | RW | 100.00 | 61 | 37 | 89 | 58 | 64 | 64 | 68 | 59 | 42 | 57 | 57 | 62 | 57 | 59 | 58 | 0 | 51 | 68 | 21 | 891,667$/2yrs | |||
Joey Larson | 0 | LW/RW | 100.00 | 67 | 40 | 79 | 56 | 77 | 66 | 89 | 54 | 37 | 56 | 57 | 66 | 57 | 64 | 62 | 0 | 35 | 68 | 24 | 823,750$/1yrs | |||
James Hamblin | 0 | C/LW | 100.00 | 60 | 32 | 99 | 55 | 66 | 69 | 70 | 53 | 77 | 53 | 58 | 61 | 56 | 68 | 68 | 0 | 51 | 67 | 26 | 775,000$/1yrs | |||
Zayde Wisdom (R) | 60 | RW | 100.00 | 67 | 39 | 80 | 54 | 75 | 63 | 68 | 61 | 61 | 54 | 54 | 65 | 54 | 63 | 61 | 0 | 51 | 67 | 23 | 800,000$/2yrs | |||
Andrei Loshko (R) | 0 | LW/RW | 100.00 | 59 | 38 | 89 | 58 | 73 | 64 | 90 | 55 | 39 | 56 | 58 | 61 | 57 | 59 | 58 | 0 | 46 | 67 | 21 | 870,000$/3yrs | |||
Marc Del Gaizo | 0 | D | 100.00 | 76 | 37 | 85 | 57 | 72 | 84 | 74 | 56 | 30 | 63 | 55 | 67 | 56 | 67 | 66 | 0 | 51 | 73 | 26 | 800,000$/2yrs | |||
Emil Lilleberg (R) | 0 | D | 100.00 | 79 | 48 | 64 | 55 | 77 | 82 | 83 | 55 | 30 | 64 | 52 | 59 | 53 | 65 | 61 | 0 | 52 | 71 | 24 | 800,000$/2yrs | |||
Louka Heneault | 0 | D | 100.00 | 80 | 40 | 70 | 63 | 70 | 68 | 60 | 59 | 30 | 58 | 48 | 64 | 61 | 59 | 56 | 0 | 43 | 70 | 24 | 800,000$/2yrs | |||
Will Zmolek | 0 | D | 100.00 | 55 | 38 | 99 | 48 | 79 | 63 | 65 | 48 | 30 | 54 | 51 | 68 | 52 | 68 | 68 | 0 | 50 | 66 | 26 | 800,000$/2yrs | |||
Vittorio Mancini (R) | 0 | D | 100.00 | 53 | 39 | 96 | 51 | 89 | 63 | 91 | 51 | 30 | 53 | 53 | 64 | 53 | 61 | 60 | 0 | 51 | 66 | 23 | 870,000$/1yrs | |||
Saige Weinstein | 0 | D | 100.00 | 90 | 42 | 50 | 58 | 70 | 63 | 60 | 53 | 30 | 50 | 46 | 59 | 56 | 54 | 49 | 0 | 51 | 65 | 20 | 800,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Drake Caggiula | 0 | C/LW | 100.00 | 74 | 40 | 68 | 57 | 71 | 71 | 71 | 68 | 43 | 61 | 61 | 72 | 61 | 77 | 74 | 0 | 20 | 74 | 31 | 800,000$/1yrs | |||
Alex Limoges | 0 | C/LW | 100.00 | 60 | 39 | 92 | 59 | 79 | 70 | 72 | 65 | 43 | 61 | 61 | 69 | 61 | 72 | 71 | 0 | 20 | 73 | 28 | 900,000$/1yrs | |||
Joe Snively | 0 | LW | 100.00 | 62 | 38 | 87 | 57 | 68 | 69 | 71 | 66 | 41 | 61 | 58 | 70 | 59 | 73 | 72 | 0 | 20 | 72 | 29 | 800,000$/1yrs | |||
Yegor Sokolov | 0 | LW/RW | 100.00 | 75 | 42 | 66 | 60 | 89 | 67 | 90 | 61 | 44 | 60 | 60 | 64 | 60 | 63 | 59 | 0 | 20 | 71 | 25 | 1,000,000$/1yrs | |||
Fredrik Karlstrom | 0 | C | 100.00 | 60 | 38 | 92 | 56 | 78 | 66 | 85 | 62 | 68 | 56 | 57 | 66 | 57 | 66 | 65 | 0 | 20 | 69 | 27 | 800,000$/1yrs | |||
Trevor Kuntar (R) | 0 | C/LW | 100.00 | 86 | 42 | 50 | 53 | 78 | 63 | 67 | 62 | 38 | 54 | 53 | 66 | 53 | 64 | 59 | 0 | 20 | 68 | 24 | 800,000$/2yrs | |||
Riley Duran (R) | 0 | C | 100.00 | 59 | 39 | 93 | 54 | 79 | 63 | 67 | 61 | 48 | 52 | 56 | 65 | 54 | 63 | 62 | 0 | 20 | 67 | 23 | 900,000$/2yrs | |||
Judd Caulfield (R) | 0 | LW/RW | 100.00 | 62 | 39 | 87 | 53 | 83 | 62 | 77 | 61 | 49 | 52 | 52 | 64 | 52 | 61 | 59 | 0 | 34 | 66 | 24 | 800,000$/1yrs | |||
Carter Savoie (R) | 0 | LW | 100.00 | 62 | 38 | 87 | 53 | 72 | 61 | 84 | 60 | 49 | 50 | 53 | 63 | 51 | 59 | 58 | 0 | 20 | 65 | 23 | 800,000$/1yrs | |||
Mikael Diotte | 0 | D | 100.00 | 70 | 40 | 76 | 60 | 78 | 66 | 84 | 58 | 48 | 53 | 49 | 63 | 59 | 58 | 55 | 0 | 23 | 68 | 22 | 950,000$/2yrs | |||
Brady Lyle | 0 | D | 100.00 | 72 | 41 | 71 | 50 | 86 | 63 | 82 | 49 | 30 | 56 | 51 | 66 | 54 | 64 | 61 | 0 | 20 | 67 | 26 | 1,100,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Remi Poirier | 0 | 100.00 | 74 | 73 | 71 | 83 | 67 | 75 | 75 | 74 | 75 | 74 | 75 | 65 | 66 | 0 | 54 | 77 | 24 | 825,000$/3yrs |
Luke Cavallin | 0 | 100.00 | 69 | 58 | 68 | 79 | 66 | 75 | 70 | 69 | 75 | 74 | 71 | 65 | 64 | 0 | 49 | 74 | 24 | 975,000$/2yrs |
| Scratches | ||||||||||||||||||||
William Rousseau | 0 | 100.00 | 69 | 65 | 66 | 74 | 66 | 71 | 69 | 69 | 71 | 71 | 70 | 62 | 68 | 0 | 40 | 73 | 22 | 775,000$/1yrs |
Rasmus Korhonen | 0 | 100.00 | 65 | 68 | 66 | 88 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 60 | 63 | 0 | 26 | 71 | 23 | |
Felix Sandstrom | 0 | 100.00 | 60 | 62 | 66 | 78 | 56 | 60 | 60 | 60 | 60 | 59 | 60 | 71 | 74 | 0 | 26 | 67 | 28 | 1,000,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bob Boughner | 72 | 73 | 73 | 82 | 74 | 68 | 78 | CAN | 53 | 4 | 500,000$ |
| General Manager |
|---|
| 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 | Harrison Scott | C/LW | 27 | 9 | 14 | 23 | 6 | 2 | 0 | 7 | 81 | 22 | 53 | 11.11% | 8 | 18.81 | 2 | 6 | 8 | 71 | 0 | 1 | 1 | 107 | 1 | 0 | 54.18% | 766 | 0 | 0 | 0 | 0 | 0.91 | 0 | 1 | ||
| 2 | Marc Del Gaizo | D | 27 | 6 | 14 | 20 | 3 | 8 | 0 | 26 | 55 | 17 | 31 | 10.91% | 49 | 22.30 | 4 | 2 | 6 | 71 | 1 | 0 | 1 | 83 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
| 3 | Dalton Bancroft | LW/RW | 27 | 8 | 11 | 19 | 9 | 12 | 0 | 64 | 81 | 23 | 56 | 9.88% | 13 | 18.41 | 2 | 3 | 5 | 72 | 0 | 0 | 0 | 101 | 1 | 0 | 62.96% | 54 | 0 | 0 | 0 | 0 | 0.76 | 0 | 3 | ||
| 4 | Emil Lilleberg | D | 27 | 4 | 13 | 17 | 14 | 57 | 5 | 104 | 32 | 7 | 15 | 12.50% | 25 | 22.93 | 2 | 2 | 4 | 72 | 0 | 0 | 0 | 66 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
| 5 | Jagger Firkus | RW | 27 | 7 | 10 | 17 | 3 | 4 | 0 | 19 | 74 | 20 | 48 | 9.46% | 1 | 14.66 | 2 | 3 | 5 | 68 | 0 | 0 | 0 | 0 | 4 | 0 | 28.57% | 28 | 0 | 0 | 0 | 0 | 0.86 | 1 | 3 | ||
| 6 | Alex Belzile | C/LW/RW | 27 | 6 | 8 | 14 | 6 | 16 | 0 | 62 | 76 | 16 | 56 | 7.89% | 3 | 12.13 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 6 | 1 | 0 | 39.13% | 23 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
| 7 | Ryan Schmelzer | C | 27 | 8 | 4 | 12 | 0 | 2 | 0 | 20 | 61 | 15 | 56 | 13.11% | 12 | 14.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57 | 0 | 1 | 58.55% | 456 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
| 8 | Zayde Wisdom | RW | 27 | 4 | 8 | 12 | 8 | 4 | 0 | 12 | 58 | 15 | 38 | 6.90% | 5 | 12.34 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 48.28% | 29 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
| 9 | Rodrigo Abols | C | 23 | 3 | 7 | 10 | 6 | 2 | 0 | 3 | 44 | 14 | 29 | 6.82% | 1 | 13.01 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 8 | 1 | 0 | 62.03% | 395 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
| 10 | Vittorio Mancini | D | 27 | 0 | 10 | 10 | 12 | 0 | 0 | 5 | 29 | 14 | 21 | 0.00% | 39 | 23.03 | 0 | 2 | 2 | 69 | 0 | 0 | 0 | 86 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
| 11 | Anthony Richard | C/LW | 27 | 4 | 4 | 8 | 1 | 4 | 0 | 38 | 89 | 15 | 45 | 4.49% | 6 | 14.87 | 1 | 0 | 1 | 55 | 0 | 0 | 0 | 20 | 0 | 1 | 54.55% | 55 | 0 | 0 | 0 | 0 | 0.40 | 0 | 3 | ||
| 12 | Saige Weinstein | D | 27 | 1 | 7 | 8 | 2 | 44 | 0 | 93 | 25 | 12 | 15 | 4.00% | 22 | 19.04 | 0 | 1 | 1 | 67 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 13 | James Hamblin | C/LW | 27 | 2 | 5 | 7 | 3 | 0 | 0 | 11 | 44 | 18 | 26 | 4.55% | 7 | 14.58 | 0 | 1 | 1 | 71 | 0 | 0 | 0 | 2 | 1 | 0 | 56.19% | 509 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 14 | Andrei Loshko | LW/RW | 21 | 7 | 0 | 7 | 3 | 0 | 0 | 10 | 56 | 12 | 39 | 12.50% | 3 | 14.90 | 0 | 0 | 0 | 54 | 0 | 0 | 0 | 0 | 2 | 2 | 35.00% | 20 | 0 | 0 | 0 | 0 | 0.45 | 1 | 3 | ||
| 15 | Louka Heneault | D | 23 | 0 | 5 | 5 | 2 | 29 | 5 | 54 | 12 | 8 | 14 | 0.00% | 26 | 15.91 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
| 16 | Will Zmolek | D | 21 | 0 | 5 | 5 | 2 | 4 | 0 | 0 | 7 | 1 | 5 | 0.00% | 29 | 17.66 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 71 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
| 17 | Judd Caulfield | LW/RW | 16 | 2 | 3 | 5 | -5 | 0 | 0 | 1 | 23 | 7 | 23 | 8.70% | 4 | 13.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 26.67% | 15 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
| 18 | Joey Larson | LW/RW | 17 | 2 | 3 | 5 | 2 | 6 | 0 | 20 | 33 | 13 | 25 | 6.06% | 1 | 13.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 1 | 0 | 42.86% | 14 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
| 19 | Trevor Kuntar | C/LW | 6 | 1 | 3 | 4 | 0 | 4 | 0 | 10 | 19 | 8 | 8 | 5.26% | 0 | 15.50 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | ||
| 20 | Jonah Gadjovich | LW | 21 | 1 | 2 | 3 | 3 | 24 | 0 | 54 | 26 | 9 | 17 | 3.85% | 1 | 13.06 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 19 | 0 | 0 | 69.23% | 26 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
| 21 | Mikael Diotte | D | 10 | 1 | 1 | 2 | -6 | 6 | 0 | 17 | 5 | 0 | 6 | 20.00% | 13 | 17.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
| 22 | Riley Duran | C | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 5 | 5 | 10 | 0.00% | 1 | 12.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.94% | 53 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 486 | 76 | 137 | 213 | 73 | 228 | 10 | 630 | 935 | 271 | 636 | 8.13% | 269 | 16.43 | 13 | 22 | 35 | 726 | 1 | 2 | 3 | 756 | 15 | 5 | 56.00% | 2448 | 0 | 0 | 0 | 0 | 0.53 | 2 | 13 |
| 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 | Remi Poirier | 12 | 6 | 3 | 3 | 0.922 | 2.53 | 736 | 0 | 1 | 31 | 396 | 0 | 0 | 0 | 0.556 | 9 | 12 | 11 | 1 | 1 | 1 | |
| 2 | Luke Cavallin | 9 | 5 | 4 | 0 | 0.925 | 2.34 | 539 | 0 | 1 | 21 | 281 | 0 | 0 | 0 | 0.000 | 0 | 9 | 12 | 2 | 1 | 0 | |
| 3 | William Rousseau | 6 | 4 | 1 | 1 | 0.940 | 1.95 | 369 | 0 | 1 | 12 | 199 | 0 | 0 | 0 | 0.750 | 4 | 6 | 4 | 1 | 1 | 0 | |
| Team Total or Average | 27 | 15 | 8 | 4 | 0.927 | 2.33 | 1645 | 0 | 3 | 64 | 876 | 0 | 0 | 0 | 0.615 | 13 | 27 | 27 | 4 | 3 | 1 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Belzile | C/LW/RW | 34 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Alex Limoges | C/LW | 28 | 900,000$ | 900,000$ | UFA | ||||||
| Andrei Loshko | LW/RW | 21 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
| Anthony Richard | C/LW | 28 | 875,000$ | 875,000$ | 875,000$ | UFA | |||||
| Brady Lyle | D | 26 | 1,100,000$ | 1,100,000$ | |||||||
| Carter Savoie | LW | 23 | 800,000$ | 800,000$ | RFA | ||||||
| Dalton Bancroft | LW/RW | 24 | 950,000$ | 950,000$ | |||||||
| Drake Caggiula | C/LW | 31 | 800,000$ | 800,000$ | UFA | ||||||
| Emil Lilleberg | D | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Felix Sandstrom | G | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Fredrik Karlstrom | C | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Harrison Scott | C/LW | 25 | 975,000$ | 975,000$ | |||||||
| Jagger Firkus | RW | 21 | 891,667$ | 891,667$ | 891,667$ | RFA | |||||
| James Hamblin | C/LW | 26 | 775,000$ | 775,000$ | |||||||
| Joe Snively | LW | 29 | 800,000$ | 800,000$ | UFA | ||||||
| Joey Larson | LW/RW | 24 | 823,750$ | 823,750$ | |||||||
| Jonah Gadjovich | LW | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Judd Caulfield | LW/RW | 24 | 800,000$ | 800,000$ | |||||||
| Louka Heneault | D | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Luke Cavallin | G | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Marc Del Gaizo | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Mikael Diotte | D | 22 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
| Rasmus Korhonen | G | 23 | 0$ | RFA | |||||||
| Remi Poirier | G | 24 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | |||||
| Riley Duran | C | 23 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Rodrigo Abols | C | 29 | 900,000$ | 900,000$ | UFA | ||||||
| Ryan Schmelzer | C | 32 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
| Saige Weinstein | D | 20 | 800,000$ | 800,000$ | RFA | ||||||
| Trevor Kuntar | C/LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Vittorio Mancini | D | 23 | 870,000$ | 870,000$ | RFA | ||||||
| Will Zmolek | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| William Rousseau | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
| Yegor Sokolov | LW/RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Zayde Wisdom | RW | 23 | 800,000$ | 800,000$ | 800,000$ |
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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 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 27 | 23 | 22 | 6 | 89 | 298 | 306 | 317 | 27 | 46 | 15 | 16 | 35 | 11 | 3 | 27.27% | 7 | 1 | 85.71% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 50.0% | 9.0% | 87.0% | 95.9 | FUN | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 27 | 23 | 22 | 6 | 26 | 298 | 306 | 317 | 27 | 44 | 5 | 8 | 23 | 1 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 60.0% | 11.5% | 90.9% | 102.4 | FUN | |
| 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 27 | 23 | 22 | 6 | 32 | 298 | 306 | 317 | 27 | 34 | 8 | 11 | 23 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 60.0% | 12.5% | 91.2% | 103.7 | LUCKY | |
| 4 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 4 | 3 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 27 | 23 | 22 | 6 | 56 | 298 | 306 | 317 | 27 | 54 | 18 | 28 | 44 | 3 | 1 | 33.33% | 14 | 0 | 100.00% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 60.0% | 12.5% | 92.6% | 105.1 | LUCKY | |
| 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 27 | 23 | 22 | 6 | 58 | 298 | 306 | 317 | 27 | 62 | 12 | 14 | 45 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 50.0% | 5.2% | 95.2% | 100.3 | DULL | |
| 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 27 | 23 | 22 | 6 | 42 | 298 | 306 | 317 | 27 | 38 | 14 | 10 | 38 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 50.0% | 4.8% | 92.1% | 96.9 | DULL | |
| 7 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 6 | 1.000 | 11 | 21 | 32 | 0 | 1 | 27 | 23 | 22 | 6 | 124 | 298 | 306 | 317 | 27 | 85 | 31 | 23 | 76 | 6 | 1 | 16.67% | 8 | 3 | 62.50% | 1 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 90.9% | 8.9% | 95.3% | 104.2 | Unlucky | |
| 8 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 27 | 23 | 22 | 6 | 74 | 298 | 306 | 317 | 27 | 62 | 17 | 12 | 46 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 53.8% | 10.8% | 88.7% | 99.5 | FUN | |
| 9 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 27 | 23 | 22 | 6 | 40 | 298 | 306 | 317 | 27 | 40 | 14 | 8 | 27 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 66.7% | 10.0% | 92.5% | 102.5 | LUCKY | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 27 | 23 | 22 | 6 | 19 | 298 | 306 | 317 | 27 | 35 | 5 | 14 | 19 | 5 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 100.0% | 5.3% | 100.0% | 105.3 | DULL | |
| 11 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 27 | 23 | 22 | 6 | 84 | 298 | 306 | 317 | 27 | 65 | 26 | 16 | 58 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 25.0% | 2.4% | 93.8% | 96.2 | DULL | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 27 | 23 | 22 | 6 | 26 | 298 | 306 | 317 | 27 | 41 | 14 | 16 | 20 | 2 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 40.0% | 7.7% | 90.2% | 97.9 | Unlucky | |
| 13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 27 | 23 | 22 | 6 | 46 | 298 | 306 | 317 | 27 | 14 | 4 | 2 | 18 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 50.0% | 6.5% | 85.7% | 92.2 | Unlucky | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 27 | 23 | 22 | 6 | 36 | 298 | 306 | 317 | 27 | 34 | 10 | 6 | 22 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 60.0% | 13.9% | 91.2% | 105.1 | LUCKY | |
| 15 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.333 | 6 | 9 | 15 | 0 | 0 | 27 | 23 | 22 | 6 | 95 | 298 | 306 | 317 | 27 | 105 | 35 | 20 | 70 | 8 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 46.2% | 6.3% | 92.4% | 98.7 | DULL | |
| 16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 27 | 23 | 22 | 6 | 66 | 298 | 306 | 317 | 27 | 85 | 30 | 16 | 45 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 44.4% | 6.1% | 91.8% | 97.8 | DULL | |
| 17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 27 | 23 | 22 | 6 | 22 | 298 | 306 | 317 | 27 | 32 | 11 | 8 | 21 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 50.0% | 13.6% | 93.8% | 107.4 | LUCKY | |
| _Vs Division | 15 | 6 | 5 | 0 | 2 | 1 | 0 | 1 | 42 | 38 | 4 | 18 | 0.600 | 42 | 75 | 117 | 0 | 1 | 27 | 23 | 22 | 6 | 554 | 298 | 306 | 317 | 27 | 480 | 165 | 111 | 351 | 47 | 7 | 14.89% | 49 | 9 | 81.63% | 1 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 54.7% | 7.6% | 92.1% | 99.7 | DULL | |
| _Vs Conference | 21 | 9 | 5 | 0 | 4 | 1 | 0 | 2 | 65 | 53 | 12 | 29 | 0.690 | 65 | 118 | 183 | 0 | 1 | 27 | 23 | 22 | 6 | 764 | 298 | 306 | 317 | 27 | 656 | 219 | 166 | 485 | 63 | 12 | 19.05% | 74 | 12 | 83.78% | 1 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 56.4% | 8.5% | 91.9% | 100.4 | DULL | |
| _Since Last GM Reset | 27 | 11 | 8 | 0 | 4 | 1 | 0 | 3 | 76 | 67 | 9 | 34 | 0.630 | 76 | 137 | 213 | 0 | 2 | 27 | 23 | 22 | 6 | 935 | 298 | 306 | 317 | 27 | 876 | 269 | 228 | 630 | 81 | 13 | 16.05% | 105 | 17 | 83.81% | 1 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 55.8% | 8.1% | 92.4% | 100.5 | DULL | |
| Total | 27 | 11 | 8 | 0 | 4 | 1 | 0 | 3 | 76 | 67 | 9 | 34 | 0.630 | 76 | 137 | 213 | 0 | 2 | 27 | 23 | 22 | 6 | 935 | 298 | 306 | 317 | 27 | 876 | 269 | 228 | 630 | 81 | 13 | 16.05% | 105 | 17 | 83.81% | 1 | 575 | 1032 | 55.72% | 564 | 974 | 57.91% | 232 | 405 | 57.28% | 651 | 435 | 629 | 208 | 368 | 185 | 55.8% | 8.1% | 92.4% | 100.5 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1032 |
| Neutral Zone Start | 405 |
| Defensive Zone Start | 974 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1371 |
| Faceoffs Lost | 1040 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.0 | 9.57 |
| 2nd Period | 22.4 | 20.31 |
| 3rd Period | 34.1 | 30.68 |
| Overtime | 35.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.9 | 2.83 |
| Even Strenght Goal | 62 |
|---|---|
| PP Goal | 13 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 11 | 4 |
| Lost | 3 | 5 |
| Overtime Lost | 1 | 3 |
| PP Attempt | 81 |
|---|---|
| PP Goal | 13 |
| PK Attempt | 105 |
| PK Goal Against | 17 |
| Home | |
|---|---|
| Shots For | 34.6 |
| Shots Against | 32.4 |
| Goals For | 2.8 |
| Goals Against | 2.5 |
| Hits | 23.3 |
| Shots Blocked | 10.0 |
| Pim | 8.4 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Roadrunners2,Condors3 | RECAP | |||||||||||
| 2025-10-11 | @ | Barracuda4,Roadrunners3 | RECAP | |||||||||||
| 2025-10-13 | @ | Roadrunners4,Reign5 (OT) | RECAP | |||||||||||
| 2025-10-15 | @ | Silver Knights2,Roadrunners3 | RECAP | |||||||||||
| 2025-10-19 | @ | Gulls2,Roadrunners1 | RECAP | |||||||||||
| 2025-10-21 | @ | Roadrunners5,Wranglers4 (OT) | RECAP | |||||||||||
| 2025-10-23 | @ | Canucks0,Roadrunners3 | RECAP | |||||||||||
| 2025-10-25 | @ | Roadrunners4,Canucks3 | RECAP | |||||||||||
| 2025-10-27 | @ | Gulls4,Roadrunners2 | RECAP | |||||||||||
| 2025-10-28 | @ | Roadrunners1,Barracuda3 | RECAP | |||||||||||
| 2025-10-30 | @ | Reign2,Roadrunners4 | RECAP | |||||||||||
| 2025-11-02 | @ | Condors1,Roadrunners0 (SO) | RECAP | |||||||||||
| 2025-11-06 | @ | Roadrunners3,Gulls2 (OT) | RECAP | |||||||||||
| 2025-11-10 | @ | Canucks1,Roadrunners4 | RECAP | |||||||||||
| 2025-11-14 | @ | Wolves3,Roadrunners4 (OT) | RECAP | |||||||||||
| 2025-11-16 | @ | Roadrunners3,Islanders4 | RECAP | |||||||||||
| 2025-11-19 | @ | Griffins2,Roadrunners3 | RECAP | |||||||||||
| 2025-11-22 | @ | Admirals3,Roadrunners4 (OT) | RECAP | |||||||||||
| 2025-11-25 | @ | Roadrunners2,Rocket3 (SO) | RECAP | |||||||||||
| 2025-11-28 | @ | Roadrunners2,Eagles3 (SO) | RECAP | |||||||||||
| 2025-11-30 | @ | IceHogs2,Roadrunners3 | RECAP | |||||||||||
| 2025-12-02 | @ | Roadrunners1,Crunch0 | RECAP | |||||||||||
| 2025-12-04 | @ | Eagles1,Roadrunners5 | RECAP | |||||||||||
| 2025-12-08 | @ | Roadrunners0,Griffins1 | RECAP | |||||||||||
| 2025-12-09 | @ | Moose3,Roadrunners5 | RECAP | |||||||||||
| 2025-12-13 | @ | Roadrunners2,Thunderbirds4 | RECAP | |||||||||||
| 2025-12-14 | @ | Wranglers2,Roadrunners3 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,220,542$ | 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 |
| 21 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,220,542$ | 2,220,542$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,049,864$ | 12,336$ | 855,405$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 122 | 15,114$ | 1,662,540$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,662,540$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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