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 | Full Scoreboard »» | 
| Tucson Roadrunners 5-5-1, 11pts · 10th 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 | 41 | 75 | 34 | 1,000,000$/1yrs | |||
|  Anthony Richard | 0 | C/LW | 100.00 | 72 | 32 | 96 | 61 | 71 | 75 | 69 | 62 | 55 | 66 | 63 | 60 | 62 | 72 | 72 | 0 | 41 | 74 | 28 | 875,000$/2yrs | |||
|  Ryan Schmelzer | 0 | C | 100.00 | 68 | 40 | 77 | 55 | 76 | 70 | 72 | 69 | 69 | 59 | 59 | 73 | 59 | 79 | 76 | 0 | 41 | 73 | 32 | 850,000$/2yrs | |||
|  Rodrigo Abols | 18 | C | 100.00 | 70 | 33 | 93 | 57 | 78 | 71 | 68 | 54 | 80 | 60 | 60 | 58 | 57 | 74 | 73 | 0 | 36 | 70 | 29 | 900,000$/1yrs | |||
|  Harrison Scott | 0 | C/LW | 100.00 | 69 | 39 | 76 | 58 | 72 | 68 | 90 | 57 | 71 | 57 | 60 | 67 | 59 | 65 | 62 | 0 | 41 | 69 | 25 | 975,000$/1yrs | |||
|  Dalton Bancroft | 0 | LW/RW | 100.00 | 87 | 42 | 55 | 57 | 83 | 67 | 89 | 56 | 65 | 56 | 59 | 67 | 58 | 65 | 60 | 0 | 41 | 69 | 24 | 950,000$/1yrs | |||
|  Jonah Gadjovich | 0 | LW | 100.00 | 85 | 73 | 50 | 55 | 83 | 69 | 78 | 56 | 61 | 53 | 59 | 58 | 57 | 69 | 64 | 0 | 37 | 68 | 27 | 800,000$/1yrs | |||
|  Jagger Firkus (R) | 0 | RW | 100.00 | 61 | 37 | 89 | 58 | 64 | 64 | 68 | 59 | 42 | 57 | 57 | 62 | 57 | 59 | 58 | 0 | 41 | 68 | 21 | 891,667$/2yrs | |||
|  James Hamblin | 0 | C/LW | 100.00 | 60 | 32 | 99 | 55 | 66 | 69 | 70 | 53 | 77 | 53 | 58 | 61 | 56 | 68 | 68 | 0 | 41 | 67 | 26 | 775,000$/1yrs | |||
|  Zayde Wisdom (R) | 60 | RW | 100.00 | 67 | 39 | 80 | 54 | 75 | 63 | 68 | 61 | 61 | 54 | 54 | 65 | 54 | 63 | 61 | 0 | 41 | 67 | 23 | 800,000$/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 | 37 | 67 | 21 | 870,000$/3yrs | |||
|  Judd Caulfield (R) | 0 | LW/RW | 100.00 | 62 | 39 | 87 | 53 | 83 | 62 | 77 | 61 | 49 | 52 | 52 | 64 | 52 | 61 | 59 | 0 | 41 | 66 | 24 | 800,000$/1yrs | |||
|  Marc Del Gaizo | 0 | D | 100.00 | 76 | 37 | 85 | 57 | 72 | 84 | 74 | 56 | 30 | 63 | 55 | 67 | 56 | 67 | 66 | 0 | 41 | 73 | 26 | 800,000$/2yrs | |||
|  Emil Lilleberg (R) | 0 | D | 100.00 | 79 | 48 | 64 | 55 | 77 | 82 | 83 | 55 | 30 | 64 | 52 | 59 | 53 | 65 | 61 | 0 | 42 | 71 | 24 | 800,000$/2yrs | |||
|  Louka Heneault | 0 | D | 100.00 | 80 | 40 | 70 | 63 | 70 | 68 | 60 | 59 | 30 | 58 | 48 | 64 | 61 | 59 | 56 | 0 | 36 | 70 | 24 | 800,000$/2yrs | |||
|  Will Zmolek | 0 | D | 100.00 | 55 | 38 | 99 | 48 | 79 | 63 | 65 | 48 | 30 | 54 | 51 | 68 | 52 | 68 | 68 | 0 | 41 | 66 | 26 | 800,000$/2yrs | |||
|  Vittorio Mancini (R) | 0 | D | 98.00 | 53 | 39 | 96 | 51 | 89 | 63 | 91 | 51 | 30 | 53 | 53 | 64 | 53 | 61 | 60 | 0 | 41 | 66 | 23 | 870,000$/1yrs | |||
|  Saige Weinstein | 0 | D | 100.00 | 90 | 42 | 50 | 58 | 70 | 63 | 60 | 53 | 30 | 50 | 46 | 59 | 56 | 54 | 49 | 0 | 41 | 65 | 20 | 800,000$/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 | 29 | 74 | 31 | 800,000$/1yrs | |||
|  Alex Limoges | 0 | C/LW | 100.00 | 60 | 39 | 92 | 59 | 79 | 70 | 72 | 65 | 43 | 61 | 61 | 69 | 61 | 72 | 71 | 0 | 29 | 73 | 28 | 900,000$/1yrs | |||
|  Joe Snively | 0 | LW | 100.00 | 62 | 38 | 87 | 57 | 68 | 69 | 71 | 66 | 41 | 61 | 58 | 70 | 59 | 73 | 72 | 0 | 29 | 72 | 29 | 800,000$/1yrs | |||
|  Yegor Sokolov | 0 | LW/RW | 100.00 | 75 | 42 | 66 | 60 | 89 | 67 | 90 | 61 | 44 | 60 | 60 | 64 | 60 | 63 | 59 | 0 | 29 | 71 | 25 | 1,000,000$/1yrs | |||
|  Fredrik Karlstrom | 0 | C | 100.00 | 60 | 38 | 92 | 56 | 78 | 66 | 85 | 62 | 68 | 56 | 57 | 66 | 57 | 66 | 65 | 0 | 29 | 69 | 27 | 800,000$/1yrs | |||
|  Trevor Kuntar (R) | 0 | C/LW | 100.00 | 86 | 42 | 50 | 53 | 78 | 63 | 67 | 62 | 38 | 54 | 53 | 66 | 53 | 64 | 59 | 0 | 34 | 68 | 24 | 800,000$/2yrs | |||
|  Joey Larson | 0 | LW/RW | 100.00 | 67 | 40 | 79 | 56 | 77 | 66 | 89 | 54 | 37 | 56 | 57 | 66 | 57 | 64 | 62 | 0 | 34 | 68 | 24 | 823,750$/1yrs | |||
|  Riley Duran (R) | 0 | C | 100.00 | 59 | 39 | 93 | 54 | 79 | 63 | 67 | 61 | 48 | 52 | 56 | 65 | 54 | 63 | 62 | 0 | 34 | 67 | 23 | 900,000$/2yrs | |||
|  Carter Savoie (R) | 0 | LW | 100.00 | 62 | 38 | 87 | 53 | 72 | 61 | 84 | 60 | 49 | 50 | 53 | 63 | 51 | 59 | 58 | 0 | 29 | 65 | 23 | 800,000$/1yrs | |||
|  Mikael Diotte | 0 | D | 100.00 | 70 | 40 | 76 | 60 | 78 | 66 | 84 | 58 | 48 | 53 | 49 | 63 | 59 | 58 | 55 | 0 | 39 | 68 | 22 | 950,000$/2yrs | |||
|  Brady Lyle | 0 | D | 100.00 | 72 | 41 | 71 | 50 | 86 | 63 | 82 | 49 | 30 | 56 | 51 | 66 | 54 | 64 | 61 | 0 | 29 | 67 | 26 | 1,100,000$/1yrs | |||
| Priority | Type | Description | 
|---|---|---|
| 1 | |or OR  | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar | 
| 2 |  && or AND  | Logical "and". Filter the column for content that matches text from either side of the operator. | 
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) | 
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query | 
| 5 | !or!= | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal ( =), single (') or double quote (") to exactly not match a filter. | 
| 6 | "or= | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query | 
| 7 |  - or to  | Find a range of values. Make sure there is a space before and after the dash (or the word "to") | 
| 8 | ? | Wildcard for a single, non-space character. | 
| 8 | * | Wildcard for zero or more non-space characters. | 
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query | 
| 10 | text | Any text entered in the filter will match text found within the column | 
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|  Remi Poirier | 0 | 100.00 | 74 | 73 | 71 | 83 | 67 | 75 | 75 | 74 | 75 | 74 | 75 | 65 | 66 | 0 | 41 | 77 | 24 | 825,000$/3yrs | 
|  William Rousseau | 0 | 100.00 | 69 | 65 | 66 | 74 | 66 | 71 | 69 | 69 | 71 | 71 | 70 | 62 | 68 | 0 | 41 | 73 | 22 | 775,000$/1yrs | 
| Scratches | ||||||||||||||||||||
|  Luke Cavallin | 0 | 97.00 | 69 | 58 | 68 | 79 | 66 | 75 | 70 | 69 | 75 | 74 | 71 | 65 | 64 | 0 | 42 | 74 | 24 | 975,000$/2yrs | 
|  Rasmus Korhonen | 0 | 100.00 | 65 | 68 | 66 | 88 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 60 | 63 | 0 | 34 | 71 | 23 | |
|  Felix Sandstrom | 0 | 100.00 | 60 | 62 | 66 | 78 | 56 | 60 | 60 | 60 | 60 | 59 | 60 | 71 | 74 | 0 | 34 | 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 | 11 | 7 | 5 | 12 | 3 | 2 | 0 | 4 | 38 | 7 | 21 | 18.42% | 2 | 18.32 | 2 | 1 | 3 | 27 | 0 | 1 | 1 | 34 | 1 | 0 | 51.89% | 291 | 0 | 0 | 0 | 0 | 1.19 | 0 | 0 | ||
| 2 | Marc Del Gaizo | D | 11 | 3 | 6 | 9 | 4 | 0 | 0 | 13 | 23 | 5 | 12 | 13.04% | 27 | 21.12 | 1 | 1 | 2 | 29 | 1 | 0 | 1 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | ||
| 3 | Dalton Bancroft | LW/RW | 11 | 5 | 4 | 9 | 3 | 6 | 0 | 38 | 35 | 10 | 24 | 14.29% | 5 | 17.56 | 1 | 1 | 2 | 28 | 0 | 0 | 0 | 31 | 0 | 0 | 62.50% | 16 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | ||
| 4 | Emil Lilleberg | D | 11 | 2 | 5 | 7 | 4 | 25 | 5 | 34 | 14 | 5 | 6 | 14.29% | 11 | 22.36 | 1 | 0 | 1 | 28 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
| 5 | Jagger Firkus | RW | 11 | 3 | 4 | 7 | 1 | 0 | 0 | 4 | 34 | 7 | 16 | 8.82% | 0 | 14.47 | 0 | 2 | 2 | 27 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | ||
| 6 | Alex Belzile | C/LW/RW | 11 | 1 | 5 | 6 | 3 | 6 | 0 | 33 | 34 | 4 | 30 | 2.94% | 2 | 12.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 44.44% | 9 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | ||
| 7 | James Hamblin | C/LW | 11 | 1 | 5 | 6 | 3 | 0 | 0 | 5 | 20 | 5 | 8 | 5.00% | 3 | 14.74 | 0 | 1 | 1 | 29 | 0 | 0 | 0 | 0 | 0 | 0 | 54.22% | 225 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | ||
| 8 | Saige Weinstein | D | 11 | 1 | 4 | 5 | 4 | 16 | 0 | 30 | 11 | 5 | 5 | 9.09% | 10 | 19.48 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
| 9 | Anthony Richard | C/LW | 11 | 1 | 3 | 4 | 2 | 2 | 0 | 11 | 32 | 5 | 22 | 3.13% | 5 | 14.39 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 7 | 0 | 0 | 73.33% | 15 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
| 10 | Rodrigo Abols | C | 7 | 1 | 3 | 4 | 1 | 0 | 0 | 1 | 10 | 5 | 11 | 10.00% | 1 | 16.07 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 8 | 1 | 0 | 56.38% | 149 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
| 11 | Zayde Wisdom | RW | 11 | 2 | 2 | 4 | 1 | 2 | 0 | 6 | 23 | 4 | 15 | 8.70% | 3 | 12.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 54.55% | 11 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 12 | 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 | ||
| 13 | Ryan Schmelzer | C | 11 | 1 | 2 | 3 | -4 | 0 | 0 | 12 | 18 | 11 | 27 | 5.56% | 3 | 13.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 61.24% | 178 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 14 | Judd Caulfield | LW/RW | 11 | 1 | 2 | 3 | -3 | 0 | 0 | 1 | 13 | 6 | 16 | 7.69% | 3 | 13.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 27.27% | 11 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 15 | 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 | ||
| 16 | Will Zmolek | D | 5 | 0 | 1 | 1 | -2 | 2 | 0 | 0 | 3 | 0 | 1 | 0.00% | 6 | 17.55 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
| 17 | Vittorio Mancini | D | 11 | 0 | 1 | 1 | 3 | 0 | 0 | 3 | 12 | 6 | 7 | 0.00% | 22 | 22.94 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | ||
| 18 | Joey Larson | LW/RW | 6 | 0 | 1 | 1 | -2 | 2 | 0 | 10 | 14 | 3 | 7 | 0.00% | 0 | 12.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
| 19 | Andrei Loshko | LW/RW | 5 | 1 | 0 | 1 | -1 | 0 | 0 | 2 | 15 | 2 | 9 | 6.67% | 1 | 15.37 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 1 | 0 | 71.43% | 7 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
| 20 | Jonah Gadjovich | LW | 5 | 0 | 0 | 0 | -1 | 2 | 0 | 7 | 8 | 1 | 6 | 0.00% | 0 | 13.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 21 | Louka Heneault | D | 7 | 0 | 0 | 0 | -3 | 6 | 0 | 10 | 6 | 2 | 2 | 0.00% | 13 | 16.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 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 | 198 | 32 | 57 | 89 | 9 | 81 | 5 | 251 | 392 | 106 | 269 | 8.16% | 131 | 16.40 | 5 | 8 | 13 | 288 | 1 | 2 | 3 | 235 | 5 | 0 | 54.86% | 988 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | 
| Priority | Type | Description | 
|---|---|---|
| 1 | |or OR  | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar | 
| 2 |  && or AND  | Logical "and". Filter the column for content that matches text from either side of the operator. | 
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) | 
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query | 
| 5 | !or!= | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal ( =), single (') or double quote (") to exactly not match a filter. | 
| 6 | "or= | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query | 
| 7 |  - or to  | Find a range of values. Make sure there is a space before and after the dash (or the word "to") | 
| 8 | ? | Wildcard for a single, non-space character. | 
| 8 | * | Wildcard for zero or more non-space characters. | 
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query | 
| 10 | text | Any text entered in the filter will match text found within the column | 
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Remi Poirier | 6 | 2 | 3 | 1 | 0.902 | 3.32 | 361 | 0 | 0 | 20 | 205 | 0 | 0 | 0 | 0.000 | 0 | 6 | 1 | 0 | 0 | 0 | |
| 2 | Luke Cavallin | 4 | 2 | 2 | 0 | 0.929 | 2.51 | 239 | 0 | 1 | 10 | 140 | 0 | 0 | 0 | 0.000 | 0 | 4 | 6 | 2 | 0 | 0 | |
| 3 | William Rousseau | 1 | 1 | 0 | 0 | 0.917 | 2.00 | 60 | 0 | 0 | 2 | 24 | 0 | 0 | 0 | 0.000 | 0 | 1 | 4 | 0 | 0 | 0 | |
| Team Total or Average | 11 | 5 | 5 | 1 | 0.913 | 2.91 | 661 | 0 | 1 | 32 | 369 | 0 | 0 | 0 | 0.000 | 0 | 11 | 11 | 2 | 0 | 0 | 
| 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 12 | 11 | 8 | 1 | 46 | 137 | 114 | 137 | 4 | 32 | 10 | 6 | 17 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 222 | 419 | 52.98% | 227 | 399 | 56.89% | 93 | 162 | 57.41% | 264 | 178 | 251 | 83 | 148 | 75 | 50.0% | 10.9% | 87.5% | 98.4 | FUN | |
| 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 12 | 11 | 8 | 1 | 84 | 137 | 114 | 137 | 4 | 60 | 25 | 19 | 51 | 4 | 1 | 25.00% | 6 | 3 | 50.00% | 1 | 222 | 419 | 52.98% | 227 | 399 | 56.89% | 93 | 162 | 57.41% | 264 | 178 | 251 | 83 | 148 | 75 | 100.0% | 8.3% | 95.0% | 103.3 | DULL | |
| 3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 12 | 11 | 8 | 1 | 74 | 137 | 114 | 137 | 4 | 62 | 17 | 12 | 46 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 222 | 419 | 52.98% | 227 | 399 | 56.89% | 93 | 162 | 57.41% | 264 | 178 | 251 | 83 | 148 | 75 | 53.8% | 10.8% | 88.7% | 99.5 | FUN | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 12 | 11 | 8 | 1 | 44 | 137 | 114 | 137 | 4 | 41 | 14 | 8 | 28 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 222 | 419 | 52.98% | 227 | 399 | 56.89% | 93 | 162 | 57.41% | 264 | 178 | 251 | 83 | 148 | 75 | 33.3% | 4.5% | 92.7% | 97.2 | DULL | |
| 5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 12 | 11 | 8 | 1 | 56 | 137 | 114 | 137 | 4 | 57 | 24 | 12 | 43 | 5 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 222 | 419 | 52.98% | 227 | 399 | 56.89% | 93 | 162 | 57.41% | 264 | 178 | 251 | 83 | 148 | 75 | 33.3% | 5.4% | 89.5% | 94.8 | Unlucky | |
| 6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 12 | 11 | 8 | 1 | 66 | 137 | 114 | 137 | 4 | 85 | 30 | 16 | 45 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 222 | 419 | 52.98% | 227 | 399 | 56.89% | 93 | 162 | 57.41% | 264 | 178 | 251 | 83 | 148 | 75 | 44.4% | 6.1% | 91.8% | 97.8 | DULL | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 12 | 11 | 8 | 1 | 22 | 137 | 114 | 137 | 4 | 32 | 11 | 8 | 21 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 222 | 419 | 52.98% | 227 | 399 | 56.89% | 93 | 162 | 57.41% | 264 | 178 | 251 | 83 | 148 | 75 | 50.0% | 13.6% | 93.8% | 107.4 | LUCKY | |
| _Vs Division | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 32 | 32 | 0 | 11 | 0.500 | 32 | 57 | 89 | 0 | 1 | 12 | 11 | 8 | 1 | 392 | 137 | 114 | 137 | 4 | 369 | 131 | 81 | 251 | 32 | 5 | 15.63% | 34 | 7 | 79.41% | 1 | 222 | 419 | 52.98% | 227 | 399 | 56.89% | 93 | 162 | 57.41% | 264 | 178 | 251 | 83 | 148 | 75 | 51.9% | 8.2% | 91.3% | 99.5 | DULL | |
| _Vs Conference | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 32 | 32 | 0 | 11 | 0.500 | 32 | 57 | 89 | 0 | 1 | 12 | 11 | 8 | 1 | 392 | 137 | 114 | 137 | 4 | 369 | 131 | 81 | 251 | 32 | 5 | 15.63% | 34 | 7 | 79.41% | 1 | 222 | 419 | 52.98% | 227 | 399 | 56.89% | 93 | 162 | 57.41% | 264 | 178 | 251 | 83 | 148 | 75 | 51.9% | 8.2% | 91.3% | 99.5 | DULL | |
| _Since Last GM Reset | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 32 | 32 | 0 | 11 | 0.500 | 32 | 57 | 89 | 0 | 1 | 12 | 11 | 8 | 1 | 392 | 137 | 114 | 137 | 4 | 369 | 131 | 81 | 251 | 32 | 5 | 15.63% | 34 | 7 | 79.41% | 1 | 222 | 419 | 52.98% | 227 | 399 | 56.89% | 93 | 162 | 57.41% | 264 | 178 | 251 | 83 | 148 | 75 | 51.9% | 8.2% | 91.3% | 99.5 | DULL | |
| Total | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 32 | 32 | 0 | 11 | 0.500 | 32 | 57 | 89 | 0 | 1 | 12 | 11 | 8 | 1 | 392 | 137 | 114 | 137 | 4 | 369 | 131 | 81 | 251 | 32 | 5 | 15.63% | 34 | 7 | 79.41% | 1 | 222 | 419 | 52.98% | 227 | 399 | 56.89% | 93 | 162 | 57.41% | 264 | 178 | 251 | 83 | 148 | 75 | 51.9% | 8.2% | 91.3% | 99.5 | DULL | 
| Puck Time | |
|---|---|
| Offensive Zone | 24 | 
| Neutral Zone | 13 | 
| Defensive Zone | 22 | 
| Puck Time | |
|---|---|
| Offensive Zone Start | 419 | 
| Neutral Zone Start | 162 | 
| Defensive Zone Start | 399 | 
| Puck Time | |
|---|---|
| With Puck | 30 | 
| Without Puck | 29 | 
| Faceoffs | |
|---|---|
| Faceoffs Won | 542 | 
| Faceoffs Lost | 438 | 
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.5 | 9.57 | 
| 2nd Period | 22.8 | 20.31 | 
| 3rd Period | 35.3 | 30.68 | 
| Overtime | 35.6 | 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 | 2.8 | 2.67 | 
| Overtime | 2.9 | 2.83 | 
| Even Strenght Goal | 26 | 
|---|---|
| PP Goal | 5 | 
| PK Goal | 1 | 
| Empty Net Goal | 0 | 
| Home | Away | |
|---|---|---|
| Win | 3 | 2 | 
| Lost | 3 | 2 | 
| Overtime Lost | 0 | 1 | 
| PP Attempt | 32 | 
|---|---|
| PP Goal | 5 | 
| PK Attempt | 34 | 
| PK Goal Against | 7 | 
| Home | |
|---|---|
| Shots For | 35.6 | 
| Shots Against | 33.5 | 
| Goals For | 2.9 | 
| Goals Against | 2.9 | 
| Hits | 22.8 | 
| Shots Blocked | 11.9 | 
| Pim | 7.4 | 
| 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 - % | |||||
|---|---|---|---|---|---|
|  |  |  |  |  |  | 
| 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 | 
| 30 | 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 | 
|---|---|---|---|
| 354,620$ | 12,336$ | 287,949$ | 0$ | 
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses | 
| 0$ | 168 | 15,114$ | 2,357,784$ | 
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account | 
| 2,357,784$ | 0$ | 0$ | 0$ | 
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor | 
 Rookie
 Rookie Injured
Injured  Cold Streak
Cold Streak  Hot Streak
Hot Streak | Left Wing | Center | Right Wing | 
|---|---|---|
|  |  |  | 
| Defense #1 | Defense #2 | Goalie | 
|---|---|---|
|  |  | 
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