![]() | Tucson Roadrunners 43-29-10, 96pts · 6th in Conference 2 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Marco Kasper | 0 | C | 100.00 | 72 | 41 | 73 | 79 | 72 | 76 | 71 | 76 | 64 | 70 | 71 | 68 | 75 | 56 | 50 | 1 | 50 | 69 | 21 | 975,000$/2yrs | |||
Matvei Michkov (R) | 0 | RW | 100.00 | 62 | 40 | 67 | 77 | 69 | 76 | 69 | 78 | 46 | 74 | 75 | 60 | 76 | 53 | 50 | 1 | 50 | 69 | 20 | 950,000$/2yrs | |||
Marat Khusnutdinov | 0 | C/LW/RW | 100.00 | 66 | 40 | 83 | 78 | 75 | 81 | 71 | 68 | 66 | 65 | 64 | 70 | 70 | 55 | 50 | 1 | 50 | 67 | 22 | 975,000$/2yrs | |||
Josh Doan | 0 | RW | 100.00 | 65 | 41 | 80 | 73 | 76 | 75 | 68 | 70 | 49 | 67 | 65 | 63 | 69 | 55 | 50 | 1 | 50 | 66 | 23 | 975,000$/1yrs | |||
Travis Boyd | 0 | C/RW | 100.00 | 56 | 42 | 74 | 69 | 67 | 76 | 73 | 67 | 50 | 66 | 63 | 59 | 66 | 70 | 62 | 1 | 50 | 64 | 31 | 2,250,000$/3yrs | |||
Linus Karlsson | 0 | C/RW | 100.00 | 65 | 41 | 76 | 74 | 70 | 75 | 67 | 68 | 42 | 64 | 63 | 64 | 68 | 56 | 50 | 1 | 50 | 64 | 25 | 975,000$/1yrs | |||
Colin White | 0 | C/LW/RW | 100.00 | 62 | 42 | 74 | 66 | 69 | 73 | 72 | 64 | 60 | 60 | 58 | 59 | 62 | 80 | 58 | 1 | 50 | 62 | 28 | 2,250,000$/1yrs | |||
Ethan Cardwell | 0 | RW | 100.00 | 62 | 44 | 65 | 68 | 63 | 64 | 62 | 65 | 44 | 64 | 58 | 62 | 64 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/2yrs | |||
Julien Gauthier | 0 | RW | 100.00 | 70 | 40 | 73 | 63 | 79 | 70 | 67 | 61 | 40 | 56 | 58 | 62 | 61 | 70 | 54 | 1 | 50 | 61 | 27 | 1,300,000$/2yrs | |||
Angus Crookshank | 0 | LW | 100.00 | 56 | 44 | 66 | 69 | 61 | 66 | 64 | 65 | 44 | 61 | 62 | 56 | 65 | 53 | 50 | 1 | 50 | 61 | 25 | 1,000,000$/1yrs | |||
Nick Abruzzese | 0 | C | 100.00 | 56 | 41 | 74 | 67 | 60 | 69 | 67 | 64 | 44 | 64 | 58 | 55 | 63 | 54 | 50 | 1 | 50 | 60 | 26 | 975,000$/1yrs | |||
Kale Clague | 0 | D | 100.00 | 55 | 44 | 67 | 70 | 62 | 70 | 67 | 66 | 40 | 63 | 60 | 66 | 65 | 65 | 51 | 1 | 50 | 63 | 27 | 1,250,000$/3yrs | |||
Nikita Novikov | 0 | D | 100.00 | 69 | 44 | 64 | 65 | 69 | 62 | 59 | 63 | 40 | 60 | 56 | 69 | 61 | 50 | 50 | 1 | 50 | 62 | 21 | 975,000$/2yrs | |||
Stanislav Svozil | 0 | D | 100.00 | 61 | 43 | 68 | 69 | 63 | 63 | 62 | 63 | 40 | 62 | 56 | 67 | 63 | 50 | 50 | 1 | 50 | 62 | 22 | 975,000$/2yrs | |||
Reilly Walsh | 0 | D | 100.00 | 54 | 42 | 70 | 68 | 62 | 69 | 67 | 65 | 40 | 63 | 58 | 64 | 63 | 54 | 50 | 1 | 50 | 62 | 26 | 975,000$/1yrs | |||
Domenick Fensore | 0 | D | 100.00 | 54 | 42 | 68 | 73 | 54 | 63 | 61 | 64 | 40 | 62 | 58 | 65 | 65 | 51 | 50 | 1 | 50 | 61 | 23 | 975,000$/2yrs | |||
Mac Hollowell | 0 | D | 100.00 | 53 | 45 | 64 | 71 | 55 | 67 | 65 | 64 | 40 | 65 | 52 | 67 | 62 | 54 | 50 | 1 | 50 | 61 | 26 | 975,000$/2yrs | |||
Ty Nelson (R) | 0 | D | 100.00 | 63 | 42 | 63 | 67 | 62 | 62 | 61 | 63 | 40 | 62 | 57 | 66 | 62 | 50 | 50 | 1 | 50 | 61 | 21 | 836,667$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Brad Lambert | 0 | C | 100.00 | 56 | 42 | 69 | 65 | 63 | 61 | 58 | 64 | 44 | 63 | 55 | 52 | 61 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/1yrs | |||
Brendan Brisson | 0 | C/LW/RW | 100.00 | 56 | 44 | 65 | 64 | 64 | 64 | 62 | 63 | 43 | 61 | 56 | 53 | 61 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/1yrs | |||
Matthew Maggio | 0 | RW | 100.00 | 56 | 42 | 69 | 63 | 62 | 63 | 62 | 62 | 42 | 57 | 56 | 52 | 60 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/2yrs | |||
Nikita Chibrikov | 0 | RW | 100.00 | 56 | 42 | 69 | 63 | 62 | 62 | 60 | 62 | 43 | 59 | 56 | 51 | 60 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/2yrs | |||
Roni Hirvonen | 0 | C | 100.00 | 56 | 41 | 71 | 65 | 60 | 63 | 61 | 60 | 57 | 55 | 55 | 53 | 60 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/2yrs | |||
Trevor Kuntar | 0 | C | 100.00 | 60 | 53 | 57 | 62 | 64 | 65 | 63 | 61 | 47 | 55 | 54 | 54 | 59 | 52 | 50 | 1 | 50 | 57 | 24 | 975,000$/2yrs | |||
Jamieson Rees | 0 | C | 100.00 | 54 | 42 | 71 | 65 | 58 | 64 | 63 | 58 | 43 | 56 | 52 | 52 | 58 | 52 | 50 | 1 | 50 | 56 | 24 | 975,000$/3yrs | |||
Eetu Liukas | 0 | LW | 100.00 | 60 | 43 | 66 | 59 | 66 | 63 | 61 | 59 | 42 | 52 | 53 | 51 | 57 | 50 | 50 | 1 | 50 | 55 | 22 | 975,000$/2yrs | |||
Ethan Frisch | 0 | D | 100.00 | 62 | 42 | 70 | 67 | 63 | 65 | 63 | 61 | 40 | 55 | 53 | 64 | 60 | 52 | 50 | 1 | 50 | 60 | 24 | 1,250,000$/3yrs | |||
Samuel Knazko | 0 | D | 100.00 | 61 | 41 | 74 | 65 | 65 | 63 | 61 | 61 | 40 | 57 | 54 | 61 | 60 | 50 | 50 | 1 | 50 | 60 | 22 | 975,000$/1yrs | |||
Jake Massie | 0 | D | 100.00 | 58 | 41 | 72 | 66 | 62 | 66 | 64 | 57 | 40 | 52 | 53 | 63 | 59 | 57 | 50 | 1 | 50 | 59 | 28 | 2,000,000$/2yrs | |||
Ryan O'Rourke | 0 | D | 100.00 | 59 | 45 | 66 | 65 | 65 | 65 | 63 | 61 | 40 | 55 | 53 | 58 | 60 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/3yrs | |||
Guillaume Richard (R) | 0 | D | 100.00 | 58 | 40 | 62 | 62 | 59 | 58 | 57 | 56 | 40 | 54 | 55 | 60 | 58 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Artur Akhtyamov | 0 | 100.00 | 68 | 62 | 62 | 60 | 64 | 66 | 68 | 66 | 66 | 65 | 59 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/1yrs |
Mitch Gibson | 0 | 100.00 | 68 | 57 | 56 | 65 | 63 | 63 | 64 | 63 | 64 | 62 | 51 | 53 | 50 | 1 | 50 | 58 | 26 | 1,000,000$/3yrs |
| Scratches | ||||||||||||||||||||
Vyacheslav Peksa | 0 | 100.00 | 59 | 57 | 57 | 62 | 59 | 56 | 56 | 54 | 56 | 58 | 54 | 50 | 50 | 1 | 50 | 53 | 22 | 975,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alain Nasreddine | 71 | 81 | 78 | 77 | 60 | 54 | 1 | CAN | 49 | 2 | 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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Marco Kasper | Roadrunners (PHO) | C | 82 | 43 | 50 | 93 | -4 | 27 | 5 | 160 | 277 | 92 | 165 | 15.52% | 48 | 23.71 | 15 | 15 | 30 | 1 | 2 | 3 | 112 | 7 | 3 | 56.57% | 2 | 3 | 1.13 | 3 | 6 | 1.10 | |||
| 2 | Matvei Michkov | Roadrunners (PHO) | RW | 80 | 36 | 42 | 78 | -3 | 29 | 5 | 144 | 231 | 81 | 141 | 15.58% | 30 | 21.83 | 8 | 16 | 24 | 1 | 1 | 2 | 95 | 7 | 1 | 50.00% | 2 | 1 | 0.98 | 1 | 5 | 0.92 | |||
| 3 | Marat Khusnutdinov | Roadrunners (PHO) | C/LW/RW | 82 | 22 | 37 | 59 | 0 | 26 | 10 | 110 | 158 | 61 | 96 | 13.92% | 31 | 21.16 | 7 | 12 | 19 | 1 | 0 | 1 | 73 | 4 | 0 | 56.46% | 1 | 0 | 0.72 | 1 | 5 | 0.65 | |||
| 4 | Josh Doan | Roadrunners (PHO) | RW | 82 | 24 | 34 | 58 | 13 | 2 | 0 | 146 | 218 | 63 | 120 | 11.01% | 25 | 19.39 | 3 | 10 | 13 | 1 | 0 | 1 | 39 | 4 | 2 | 48.78% | 0 | 0 | 0.71 | 0 | 2 | 0.82 | |||
| 5 | Travis Boyd | Roadrunners (PHO) | C/RW | 63 | 17 | 22 | 39 | 8 | 14 | 0 | 98 | 109 | 34 | 66 | 15.60% | 15 | 19.43 | 3 | 3 | 6 | 0 | 0 | 0 | 1 | 2 | 1 | 49.75% | 0 | 0 | 0.62 | 0 | 1 | 0.62 | |||
| 6 | Linus Karlsson | Roadrunners (PHO) | C/RW | 76 | 10 | 26 | 36 | 6 | 6 | 0 | 101 | 103 | 34 | 74 | 9.71% | 27 | 16.01 | 0 | 2 | 2 | 0 | 0 | 0 | 11 | 2 | 1 | 45.52% | 2 | 0 | 0.47 | 1 | 2 | 0.50 | |||
| 7 | Colin White | Roadrunners (PHO) | C/LW/RW | 82 | 13 | 21 | 34 | 1 | 21 | 5 | 142 | 76 | 34 | 57 | 17.11% | 27 | 20.13 | 1 | 2 | 3 | 0 | 0 | 0 | 57 | 2 | 0 | 57.39% | 0 | 0 | 0.41 | 1 | 1 | 0.37 | |||
| 8 | Reilly Walsh | Roadrunners (PHO) | D | 82 | 6 | 22 | 28 | 14 | 21 | 5 | 48 | 72 | 27 | 30 | 8.33% | 57 | 20.14 | 3 | 6 | 9 | 0 | 2 | 2 | 126 | 2 | 1 | 0.00% | 0 | 0 | 0.34 | 0 | 0 | 0.35 | |||
| 9 | Nikita Novikov | Roadrunners (PHO) | D | 80 | 4 | 19 | 23 | 8 | 47 | 5 | 125 | 78 | 33 | 29 | 5.13% | 75 | 24.80 | 4 | 3 | 7 | 0 | 1 | 1 | 98 | 2 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.26 | |||
| 10 | Ethan Cardwell | Roadrunners (PHO) | RW | 79 | 15 | 5 | 20 | -1 | 25 | 5 | 85 | 87 | 25 | 44 | 17.24% | 9 | 13.79 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 42.86% | 0 | 0 | 0.25 | 0 | 0 | 0.24 | |||
| 11 | Domenick Fensore | Roadrunners (PHO) | D | 80 | 1 | 15 | 16 | 11 | 43 | 5 | 37 | 31 | 10 | 12 | 3.23% | 60 | 16.35 | 1 | 0 | 1 | 0 | 1 | 1 | 20 | 0 | 0 | 66.67% | 0 | 0 | 0.20 | 0 | 0 | 0.15 | |||
| 12 | Stanislav Svozil | Roadrunners (PHO) | D | 82 | 2 | 11 | 13 | -5 | 18 | 0 | 53 | 24 | 21 | 22 | 8.33% | 42 | 15.85 | 0 | 2 | 2 | 1 | 1 | 2 | 83 | 1 | 0 | 0.00% | 0 | 0 | 0.16 | 1 | 1 | 0.10 | |||
| 13 | Angus Crookshank | Roadrunners (PHO) | LW | 80 | 7 | 4 | 11 | 1 | 10 | 0 | 43 | 57 | 12 | 41 | 12.28% | 6 | 9.66 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 0 | 30.77% | 0 | 0 | 0.14 | 0 | 0 | 0.15 | |||
| 14 | Julien Gauthier | Roadrunners (PHO) | RW | 82 | 5 | 5 | 10 | 0 | 8 | 0 | 76 | 50 | 14 | 31 | 10.00% | 12 | 12.64 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 1 | 35.14% | 0 | 0 | 0.12 | 0 | 0 | 0.14 | |||
| 15 | Mac Hollowell | Roadrunners (PHO) | D | 82 | 2 | 7 | 9 | 7 | 31 | 5 | 47 | 34 | 15 | 13 | 5.88% | 47 | 17.16 | 1 | 0 | 1 | 0 | 0 | 0 | 73 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.10 | |||
| 16 | Nick Abruzzese | Roadrunners (PHO) | C | 47 | 1 | 5 | 6 | 3 | 2 | 0 | 15 | 28 | 7 | 16 | 3.57% | 0 | 5.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.04% | 0 | 0 | 0.13 | 0 | 0 | 0.16 | |||
| 17 | Ethan Frisch | Roadrunners (PHO) | D | 17 | 0 | 4 | 4 | 5 | 2 | 0 | 9 | 9 | 0 | 2 | 0.00% | 7 | 14.19 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.30 | |||
| 18 | Kale Clague | Roadrunners (PHO) | D | 52 | 0 | 3 | 3 | -11 | 19 | 5 | 13 | 11 | 5 | 9 | 0.00% | 21 | 13.89 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.06 | 0 | 0 | -0.07 | |||
| 19 | Ty Nelson | Roadrunners (PHO) | D | 80 | 0 | 3 | 3 | -7 | 14 | 0 | 30 | 9 | 6 | 9 | 0.00% | 26 | 11.53 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0.04 | 0 | 0 | -0.01 | |||
| 20 | Brendan Brisson | Roadrunners (PHO) | C/LW/RW | 19 | 0 | 1 | 1 | 2 | 0 | 0 | 2 | 4 | 0 | 3 | 0.00% | 1 | 2.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.05 | 0 | 0 | 0.09 | |||
| 21 | Samuel Knazko | Roadrunners (PHO) | D | 44 | 0 | 1 | 1 | -1 | 7 | 5 | 7 | 3 | 2 | 0 | 0.00% | 3 | 5.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | -0.01 | |||
| 22 | Jake Massie | Roadrunners (PHO) | D | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 15.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.19 | |||
| 23 | Brad Lambert | Roadrunners (PHO) | C | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 6.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 0 | 0 | 0.00 | 0 | 0 | -0.55 | |||
| Team Total or Average | 1457 | 208 | 337 | 545 | 45 | 372 | 60 | 1491 | 1669 | 577 | 980 | 12.46% | 569 | 16.57 | 46 | 72 | 118 | 1349 | 5 | 8 | 13 | 893 | 39 | 10 | 52.35% | 3473 | 411 | 444 | 7 | 4 | 0.45 | 8 | 23 |
| 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 | Mitch Gibson | Roadrunners (PHO) | 42 | 24 | 14 | 3 | 0.870 | 2.27 | 2456 | 0 | 8 | 93 | 718 | 390 | 3 | 1 | 0.429 | 7 | 41 | 22 | 2 | 0 | 1 |
| 2 | Artur Akhtyamov | Roadrunners (PHO) | 41 | 18 | 15 | 6 | 0.891 | 2.31 | 2334 | 0 | 5 | 90 | 822 | 454 | 1 | 3 | 0.786 | 14 | 39 | 28 | 2 | 1 | 1 |
| 3 | Vyacheslav Peksa | Roadrunners (PHO) | 5 | 1 | 0 | 1 | 0.897 | 2.16 | 167 | 0 | 0 | 6 | 58 | 31 | 0 | 0 | 0.000 | 0 | 2 | 32 | 0 | 0 | 0 |
| Team Total or Average | 88 | 43 | 29 | 10 | 0.882 | 2.29 | 4957 | 0 | 13 | 189 | 1598 | 875 | 4 | 4 | 0.667 | 21 | 82 | 82 | 4 | 1 | 2 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Angus Crookshank | LW | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Artur Akhtyamov | G | 23 | 975,000$ | 975,000$ | |||||||
| Brad Lambert | C | 21 | 975,000$ | 975,000$ | RFA | ||||||
| Brendan Brisson | C/LW/RW | 23 | 975,000$ | 975,000$ | |||||||
| Colin White | C/LW/RW | 28 | 2,250,000$ | 2,250,000$ | UFA | ||||||
| Domenick Fensore | D | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Eetu Liukas | LW | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Ethan Cardwell | RW | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Ethan Frisch | D | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
| Guillaume Richard | D | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Jake Massie | D | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
| Jamieson Rees | C | 24 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Josh Doan | RW | 23 | 975,000$ | 975,000$ | |||||||
| Julien Gauthier | RW | 27 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
| Kale Clague | D | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
| Linus Karlsson | C/RW | 25 | 975,000$ | 975,000$ | |||||||
| Mac Hollowell | D | 26 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Marat Khusnutdinov | C/LW/RW | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Marco Kasper | C | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Matthew Maggio | RW | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Matvei Michkov | RW | 20 | 950,000$ | 975,000$ | 975,000$ | RFA | |||||
| Mitch Gibson | G | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Nick Abruzzese | C | 26 | 975,000$ | 975,000$ | |||||||
| Nikita Chibrikov | RW | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Nikita Novikov | D | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Reilly Walsh | D | 26 | 975,000$ | 975,000$ | |||||||
| Roni Hirvonen | C | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Ryan O'Rourke | D | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Samuel Knazko | D | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Stanislav Svozil | D | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Travis Boyd | C/RW | 31 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||
| Trevor Kuntar | C | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Ty Nelson | D | 21 | 836,667$ | 975,000$ | 975,000$ | RFA | |||||
| Vyacheslav Peksa | G | 22 | 975,000$ | 975,000$ | 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 | Gulls | 6 | 2 | 0 | 0 | 0 | 3 | 1 | 0 | 18 | 15 | 3 | 9 | 0.750 | 18 | 26 | 44 | 0 | 0 | 39 | 79 | 89 | 13 | 124 | 407 | 580 | 685 | 42 | 119 | 39 | 14 | 117 | 12 | 2 | 16.67% | 8 | 0 | 100.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 51.6% | 14.5% | 87.4% | 101.9 | FUN |
| 2 | Moose | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 39 | 79 | 89 | 13 | 34 | 407 | 580 | 685 | 42 | 20 | 10 | 6 | 30 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 100.0% | 11.8% | 95.0% | 106.8 | LUCKY |
| 3 | Bruins | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 39 | 79 | 89 | 13 | 53 | 407 | 580 | 685 | 42 | 68 | 31 | 21 | 30 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 55.6% | 11.3% | 94.1% | 105.4 | LUCKY |
| 4 | Americans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 39 | 79 | 89 | 13 | 25 | 407 | 580 | 685 | 42 | 16 | 7 | 6 | 32 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 33.3% | 12.0% | 75.0% | 87.0 | FUN |
| 5 | Heat | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 9 | 8 | 1.000 | 9 | 13 | 22 | 0 | 4 | 39 | 79 | 89 | 13 | 49 | 407 | 580 | 685 | 42 | 24 | 10 | 4 | 71 | 10 | 4 | 40.00% | 2 | 0 | 100.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 100.0% | 18.4% | 100.0% | 118.4 | LUCKY |
| 6 | Wolves | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 39 | 79 | 89 | 13 | 35 | 407 | 580 | 685 | 42 | 75 | 26 | 6 | 25 | 8 | 1 | 12.50% | 3 | 1 | 66.67% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 44.4% | 14.3% | 92.0% | 106.3 | LUCKY |
| 7 | IceHogs | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 6 | 12 | -6 | 1 | 0.167 | 6 | 10 | 16 | 0 | 0 | 39 | 79 | 89 | 13 | 69 | 407 | 580 | 685 | 42 | 100 | 28 | 8 | 68 | 10 | 3 | 30.00% | 4 | 1 | 75.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 21.4% | 8.7% | 88.0% | 96.7 | Unlucky |
| 8 | Eagles | 5 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 14 | 11 | 3 | 6 | 0.600 | 14 | 20 | 34 | 0 | 1 | 39 | 79 | 89 | 13 | 121 | 407 | 580 | 685 | 42 | 110 | 46 | 17 | 88 | 14 | 6 | 42.86% | 6 | 2 | 66.67% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 47.1% | 11.6% | 90.0% | 101.6 | FUN |
| 9 | Monsters | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 39 | 79 | 89 | 13 | 34 | 407 | 580 | 685 | 42 | 22 | 8 | 4 | 46 | 1 | 1 | 100.00% | 2 | 1 | 50.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 57.1% | 14.7% | 81.8% | 96.5 | FUN |
| 10 | Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 5 | 8 | 13 | 1 | 1 | 39 | 79 | 89 | 13 | 47 | 407 | 580 | 685 | 42 | 21 | 13 | 6 | 38 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 66.7% | 10.6% | 85.7% | 96.4 | FUN |
| 11 | Griffins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 9 | 15 | 0 | 0 | 39 | 79 | 89 | 13 | 56 | 407 | 580 | 685 | 42 | 79 | 20 | 12 | 31 | 4 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 42.9% | 10.7% | 86.1% | 96.8 | FUN |
| 12 | Condors | 4 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 14 | 7 | 7 | 7 | 0.875 | 14 | 21 | 35 | 0 | 0 | 39 | 79 | 89 | 13 | 93 | 407 | 580 | 685 | 42 | 85 | 23 | 15 | 66 | 6 | 2 | 33.33% | 5 | 1 | 80.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 66.7% | 15.1% | 91.8% | 106.8 | LUCKY |
| 13 | Checkers 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 7 | 4 | 1.000 | 13 | 20 | 33 | 0 | 0 | 39 | 79 | 89 | 13 | 74 | 407 | 580 | 685 | 42 | 32 | 16 | 32 | 54 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 1 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 73.3% | 17.6% | 81.3% | 98.8 | FUN |
| 14 | Reign | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 9 | 3 | 5 | 0.625 | 12 | 21 | 33 | 0 | 0 | 39 | 79 | 89 | 13 | 98 | 407 | 580 | 685 | 42 | 103 | 36 | 34 | 68 | 12 | 3 | 25.00% | 12 | 3 | 75.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 60.0% | 12.2% | 91.3% | 103.5 | LUCKY |
| 15 | Wild | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 39 | 79 | 89 | 13 | 41 | 407 | 580 | 685 | 42 | 20 | 11 | 9 | 36 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 40.0% | 4.9% | 80.0% | 84.9 | Unlucky |
| 16 | Rocket | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 15 | 24 | 0 | 1 | 39 | 79 | 89 | 13 | 36 | 407 | 580 | 685 | 42 | 27 | 8 | 9 | 33 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 80.0% | 25.0% | 92.6% | 117.6 | LUCKY |
| 17 | Admirals | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 4 | 1.000 | 6 | 9 | 15 | 0 | 1 | 39 | 79 | 89 | 13 | 20 | 407 | 580 | 685 | 42 | 10 | 6 | 10 | 37 | 5 | 3 | 60.00% | 5 | 0 | 100.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 75.0% | 30.0% | 90.0% | 120.0 | FUN |
| 18 | Comets | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 39 | 79 | 89 | 13 | 22 | 407 | 580 | 685 | 42 | 29 | 8 | 10 | 31 | 1 | 1 | 100.00% | 5 | 1 | 80.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 80.0% | 22.7% | 93.1% | 115.8 | LUCKY |
| 19 | Islanders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 39 | 79 | 89 | 13 | 42 | 407 | 580 | 685 | 42 | 28 | 21 | 7 | 35 | 5 | 3 | 60.00% | 1 | 0 | 100.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 75.0% | 14.3% | 96.4% | 110.7 | LUCKY |
| 20 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 39 | 79 | 89 | 13 | 47 | 407 | 580 | 685 | 42 | 46 | 11 | 6 | 33 | 6 | 1 | 16.67% | 3 | 2 | 33.33% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 22.2% | 6.4% | 80.4% | 86.8 | Unlucky |
| 21 | Belleville Senators | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 39 | 79 | 89 | 13 | 13 | 407 | 580 | 685 | 42 | 32 | 11 | 11 | 35 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 0.0% | 0.0% | 81.3% | 81.3 | Unlucky |
| 22 | Phantoms | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 7 | 13 | 0 | 0 | 39 | 79 | 89 | 13 | 31 | 407 | 580 | 685 | 42 | 32 | 10 | 10 | 35 | 7 | 2 | 28.57% | 5 | 1 | 80.00% | 1 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 66.7% | 19.4% | 90.6% | 110.0 | FUN |
| 23 | Penguins | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 39 | 79 | 89 | 13 | 34 | 407 | 580 | 685 | 42 | 64 | 35 | 6 | 37 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 25.0% | 5.9% | 95.3% | 101.2 | DULL |
| 24 | Barracuda | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 7 | 13 | -6 | 1 | 0.125 | 7 | 11 | 18 | 1 | 0 | 39 | 79 | 89 | 13 | 71 | 407 | 580 | 685 | 42 | 37 | 10 | 12 | 78 | 13 | 2 | 15.38% | 6 | 3 | 50.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 33.3% | 9.9% | 64.9% | 74.7 | FUN |
| 25 | Thunderbirds | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 11 | 0 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 39 | 79 | 89 | 13 | 62 | 407 | 580 | 685 | 42 | 97 | 45 | 14 | 57 | 6 | 2 | 33.33% | 7 | 0 | 100.00% | 2 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 45.0% | 17.7% | 88.7% | 106.4 | FUN |
| 26 | Crunch | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 3 | 2 | 3 | 0.750 | 5 | 8 | 13 | 0 | 1 | 39 | 79 | 89 | 13 | 46 | 407 | 580 | 685 | 42 | 18 | 8 | 11 | 44 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 62.5% | 10.9% | 83.3% | 94.2 | FUN |
| 27 | Marlies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 2 | 0.500 | 10 | 15 | 25 | 0 | 0 | 39 | 79 | 89 | 13 | 54 | 407 | 580 | 685 | 42 | 52 | 25 | 21 | 38 | 10 | 4 | 40.00% | 8 | 1 | 87.50% | 1 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 46.2% | 18.5% | 84.6% | 103.1 | FUN |
| 28 | Canucks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 39 | 79 | 89 | 13 | 49 | 407 | 580 | 685 | 42 | 63 | 16 | 8 | 38 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 50.0% | 16.3% | 87.3% | 103.6 | FUN |
| 29 | Hershey Bears | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 10 | 16 | 1 | 0 | 39 | 79 | 89 | 13 | 57 | 407 | 580 | 685 | 42 | 53 | 9 | 14 | 45 | 4 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 46.2% | 10.5% | 81.1% | 91.7 | FUN |
| 30 | Silver Knights | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.333 | 3 | 6 | 9 | 0 | 1 | 39 | 79 | 89 | 13 | 64 | 407 | 580 | 685 | 42 | 27 | 11 | 10 | 57 | 1 | 0 | 0.00% | 5 | 4 | 20.00% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 60.0% | 4.7% | 77.8% | 82.5 | Unlucky |
| 31 | Checkers 2 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 2 | 0.250 | 7 | 12 | 19 | 1 | 0 | 39 | 79 | 89 | 13 | 91 | 407 | 580 | 685 | 42 | 93 | 22 | 26 | 75 | 8 | 0 | 0.00% | 13 | 4 | 69.23% | 0 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 43.8% | 7.7% | 86.0% | 93.7 | Unlucky |
| _Vs Conference | 50 | 19 | 18 | 0 | 3 | 6 | 2 | 2 | 124 | 117 | 7 | 56 | 0.560 | 124 | 196 | 320 | 3 | 9 | 39 | 79 | 89 | 13 | 1040 | 407 | 580 | 685 | 42 | 945 | 330 | 197 | 917 | 107 | 28 | 26.17% | 87 | 24 | 72.41% | 2 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 50.8% | 11.9% | 87.6% | 99.5 | FUN | |
| _Since Last GM Reset | 82 | 34 | 29 | 0 | 6 | 7 | 3 | 3 | 216 | 196 | 20 | 96 | 0.585 | 216 | 343 | 559 | 4 | 13 | 39 | 79 | 89 | 13 | 1692 | 407 | 580 | 685 | 42 | 1602 | 580 | 379 | 1508 | 181 | 48 | 26.52% | 148 | 37 | 75.00% | 5 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 51.4% | 12.8% | 87.8% | 100.5 | FUN | |
| Total | 82 | 34 | 29 | 0 | 6 | 7 | 3 | 3 | 216 | 196 | 20 | 96 | 0.585 | 216 | 343 | 559 | 4 | 13 | 39 | 79 | 89 | 13 | 1692 | 407 | 580 | 685 | 42 | 1602 | 580 | 379 | 1508 | 181 | 48 | 26.52% | 148 | 37 | 75.00% | 5 | 677 | 1327 | 51.02% | 621 | 1190 | 52.18% | 527 | 935 | 56.36% | 1546 | 670 | 1477 | 858 | 1939 | 983 | 51.4% | 12.8% | 87.8% | 100.5 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 18 |
| Neutral Zone | 23 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1327 |
| Neutral Zone Start | 935 |
| Defensive Zone Start | 1190 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1825 |
| Faceoffs Lost | 1627 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 5.0 | 9.57 |
| 2nd Period | 12.0 | 20.31 |
| 3rd Period | 20.4 | 30.68 |
| Overtime | 20.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 1.4 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.7 | 2.83 |
| Even Strenght Goal | 159 |
|---|---|
| PP Goal | 48 |
| PK Goal | 5 |
| Empty Net Goal | 4 |
| Home | Away | |
|---|---|---|
| Win | 23 | 20 |
| Lost | 15 | 14 |
| Overtime Lost | 3 | 7 |
| PP Attempt | 181 |
|---|---|
| PP Goal | 48 |
| PK Attempt | 148 |
| PK Goal Against | 37 |
| Home | |
|---|---|
| Shots For | 20.6 |
| Shots Against | 19.5 |
| Goals For | 2.6 |
| Goals Against | 2.4 |
| Hits | 18.4 |
| Shots Blocked | 7.1 |
| Pim | 4.6 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,765,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Tucson | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,765,000$ | 3,765,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 4,290,310$ | 0$ | 3,790,280$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 22 | 25,237$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 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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