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Full Scoreboard »» |
![]() | Tucson Roadrunners 14-9-8, 36pts · 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 | |||
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$/1yrs | |||
Nikita Novikov | 0 | D | 100.00 | 69 | 44 | 64 | 65 | 69 | 62 | 59 | 63 | 40 | 60 | 56 | 69 | 61 | 50 | 50 | 1 | 50 | 62 | 21 | 975,000$/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$/2yrs | |||
Samuel Knazko | 0 | D | 100.00 | 61 | 41 | 74 | 65 | 65 | 63 | 61 | 61 | 40 | 57 | 54 | 61 | 60 | 50 | 50 | 1 | 50 | 60 | 22 | 975,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
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$/1yrs | |||
Rem Pitlick | 0 | C/LW/RW | 100.00 | 57 | 41 | 71 | 62 | 64 | 68 | 65 | 61 | 49 | 60 | 56 | 56 | 60 | 70 | 51 | 1 | 50 | 59 | 28 | 2,750,000$/1yrs | |||
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$/1yrs | |||
Matthew Maggio | 0 | RW | 100.00 | 56 | 42 | 69 | 63 | 62 | 63 | 62 | 62 | 42 | 57 | 56 | 52 | 60 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/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 | |||
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$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mitch Gibson | 0 | 100.00 | 68 | 57 | 56 | 65 | 63 | 63 | 64 | 63 | 64 | 62 | 51 | 53 | 50 | 1 | 50 | 58 | 26 | 1,000,000$/3yrs |
Vyacheslav Peksa | 0 | 100.00 | 59 | 57 | 57 | 62 | 59 | 56 | 56 | 54 | 56 | 58 | 54 | 50 | 50 | 1 | 50 | 53 | 22 | 975,000$/1yrs |
| Scratches | ||||||||||||||||||||
Artur Akhtyamov | 0 | 100.00 | 68 | 62 | 62 | 60 | 64 | 66 | 68 | 66 | 66 | 65 | 59 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/1yrs |
| 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 | 31 | 19 | 15 | 34 | -3 | 8 | 0 | 55 | 118 | 35 | 63 | 16.10% | 20 | 23.59 | 7 | 3 | 10 | 1 | 0 | 1 | 46 | 3 | 1 | 56.60% | 1 | 2 | 1.10 | 2 | 4 | 1.12 | |||
| 2 | Marat Khusnutdinov | Roadrunners (PHO) | C/LW/RW | 31 | 10 | 18 | 28 | -4 | 2 | 0 | 50 | 66 | 27 | 38 | 15.15% | 15 | 21.63 | 4 | 6 | 10 | 0 | 0 | 0 | 33 | 0 | 0 | 49.28% | 0 | 0 | 0.90 | 0 | 4 | 0.80 | |||
| 3 | Josh Doan | Roadrunners (PHO) | RW | 31 | 13 | 11 | 24 | 10 | 2 | 0 | 53 | 96 | 24 | 41 | 13.54% | 6 | 18.44 | 1 | 4 | 5 | 0 | 0 | 0 | 9 | 1 | 0 | 57.14% | 0 | 0 | 0.77 | 0 | 1 | 0.96 | |||
| 4 | Linus Karlsson | Roadrunners (PHO) | C/RW | 31 | 6 | 12 | 18 | 7 | 2 | 0 | 54 | 54 | 23 | 39 | 11.11% | 15 | 17.43 | 0 | 1 | 1 | 0 | 0 | 0 | 11 | 2 | 1 | 43.56% | 0 | 0 | 0.58 | 0 | 1 | 0.69 | |||
| 5 | Matvei Michkov | Roadrunners (PHO) | RW | 29 | 8 | 9 | 17 | -4 | 12 | 0 | 51 | 72 | 33 | 60 | 11.11% | 12 | 20.21 | 0 | 3 | 3 | 0 | 1 | 1 | 27 | 3 | 0 | 43.62% | 0 | 1 | 0.59 | 1 | 3 | 0.59 | |||
| 6 | Colin White | Roadrunners (PHO) | C/LW/RW | 31 | 5 | 10 | 15 | -1 | 8 | 0 | 61 | 35 | 9 | 20 | 14.29% | 9 | 19.60 | 0 | 1 | 1 | 0 | 0 | 0 | 25 | 1 | 0 | 60.00% | 0 | 0 | 0.48 | 1 | 1 | 0.42 | |||
| 7 | Travis Boyd | Roadrunners (PHO) | C/RW | 12 | 3 | 8 | 11 | 4 | 2 | 0 | 20 | 23 | 3 | 17 | 13.04% | 4 | 18.37 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 50.45% | 0 | 0 | 0.92 | 0 | 0 | 0.92 | |||
| 8 | Nikita Novikov | Roadrunners (PHO) | D | 29 | 2 | 8 | 10 | 1 | 18 | 0 | 42 | 25 | 8 | 8 | 8.00% | 25 | 20.95 | 2 | 1 | 3 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0.34 | 0 | 0 | 0.26 | |||
| 9 | Stanislav Svozil | Roadrunners (PHO) | D | 31 | 2 | 8 | 10 | -2 | 8 | 0 | 30 | 19 | 13 | 12 | 10.53% | 25 | 19.80 | 0 | 2 | 2 | 1 | 0 | 1 | 36 | 1 | 0 | 0.00% | 0 | 0 | 0.32 | 1 | 1 | 0.25 | |||
| 10 | Mac Hollowell | Roadrunners (PHO) | D | 31 | 2 | 6 | 8 | 7 | 17 | 5 | 25 | 17 | 7 | 8 | 11.76% | 24 | 17.60 | 1 | 0 | 1 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.25 | |||
| 11 | Angus Crookshank | Roadrunners (PHO) | LW | 31 | 5 | 3 | 8 | 4 | 6 | 0 | 28 | 44 | 10 | 37 | 11.36% | 5 | 14.94 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 0 | 27.27% | 0 | 0 | 0.26 | 0 | 0 | 0.34 | |||
| 12 | Ethan Cardwell | Roadrunners (PHO) | RW | 28 | 4 | 3 | 7 | 2 | 8 | 0 | 37 | 33 | 7 | 16 | 12.12% | 1 | 11.13 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 57.14% | 0 | 0 | 0.25 | 0 | 0 | 0.27 | |||
| 13 | Julien Gauthier | Roadrunners (PHO) | RW | 31 | 4 | 3 | 7 | 0 | 2 | 0 | 31 | 27 | 7 | 13 | 14.81% | 3 | 12.12 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 23.81% | 0 | 0 | 0.23 | 0 | 0 | 0.24 | |||
| 14 | Reilly Walsh | Roadrunners (PHO) | D | 31 | 1 | 6 | 7 | 4 | 13 | 5 | 13 | 30 | 12 | 12 | 3.33% | 18 | 21.15 | 1 | 3 | 4 | 0 | 1 | 1 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.22 | |||
| 15 | Domenick Fensore | Roadrunners (PHO) | D | 29 | 0 | 5 | 5 | 4 | 4 | 0 | 13 | 14 | 0 | 2 | 0.00% | 28 | 12.93 | 0 | 0 | 0 | 0 | 1 | 1 | 13 | 0 | 0 | 100.00% | 0 | 0 | 0.17 | 0 | 0 | 0.22 | |||
| 16 | Nick Abruzzese | Roadrunners (PHO) | C | 16 | 1 | 4 | 5 | 2 | 2 | 0 | 13 | 28 | 7 | 14 | 3.57% | 0 | 13.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.59% | 0 | 0 | 0.31 | 0 | 0 | 0.40 | |||
| 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 | Rem Pitlick | Roadrunners (PHO) | C/LW/RW | 2 | 0 | 1 | 1 | 2 | 0 | 0 | 4 | 2 | 1 | 2 | 0.00% | 0 | 14.93 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.83 | |||
| 19 | Ty Nelson | Roadrunners (PHO) | D | 29 | 0 | 1 | 1 | 0 | 2 | 0 | 10 | 3 | 2 | 5 | 0.00% | 4 | 7.80 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | 0.03 | |||
| 20 | Brendan Brisson | Roadrunners (PHO) | C/LW/RW | 14 | 0 | 1 | 1 | 2 | 0 | 0 | 2 | 4 | 0 | 3 | 0.00% | 1 | 2.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.12 | |||
| 21 | Samuel Knazko | Roadrunners (PHO) | D | 18 | 0 | 1 | 1 | 0 | 2 | 0 | 7 | 2 | 2 | 0 | 0.00% | 2 | 10.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.06 | 0 | 0 | 0.04 | |||
| 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 | 537 | 85 | 137 | 222 | 38 | 120 | 10 | 608 | 721 | 231 | 412 | 11.79% | 224 | 16.51 | 16 | 26 | 42 | 505 | 2 | 3 | 5 | 341 | 12 | 2 | 51.66% | 1415 | 168 | 176 | 1 | 3 | 0.50 | 5 | 15 |
| 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 | Artur Akhtyamov | Roadrunners (PHO) | 17 | 7 | 6 | 4 | 0.881 | 2.64 | 1001 | 0 | 0 | 44 | 371 | 201 | 0 | 1 | 0.750 | 8 | 17 | 2 | 0 | 0 | 1 |
| 2 | Mitch Gibson | Roadrunners (PHO) | 12 | 6 | 3 | 3 | 0.865 | 2.59 | 717 | 0 | 2 | 31 | 229 | 120 | 2 | 0 | 0.000 | 4 | 12 | 0 | 1 | 0 | 0 |
| 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 | 29 | 0 | 0 | 0 |
| Team Total or Average | 34 | 14 | 9 | 8 | 0.877 | 2.58 | 1885 | 0 | 2 | 81 | 658 | 352 | 2 | 1 | 0.500 | 12 | 31 | 31 | 1 | 0 | 1 |
| 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$ | |||||
| Josh Doan | RW | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Julien Gauthier | RW | 27 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 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$ | RFA | |||||
| Nikita Novikov | D | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Reilly Walsh | D | 26 | 975,000$ | 975,000$ | |||||||
| Rem Pitlick | C/LW/RW | 28 | 2,750,000$ | 2,750,000$ | UFA | ||||||
| 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$ | RFA | |||||
| 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 | 4 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 14 | 11 | 3 | 6 | 0.750 | 14 | 22 | 36 | 0 | 0 | 16 | 34 | 37 | 7 | 93 | 185 | 255 | 302 | 20 | 95 | 31 | 14 | 81 | 8 | 1 | 12.50% | 8 | 0 | 100.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 54.2% | 15.1% | 88.4% | 103.5 | FUN |
| 2 | IceHogs | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 16 | 34 | 37 | 7 | 44 | 185 | 255 | 302 | 20 | 70 | 24 | 2 | 49 | 6 | 2 | 33.33% | 1 | 0 | 100.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 22.2% | 9.1% | 90.0% | 99.1 | FUN |
| 3 | Eagles | 5 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 14 | 11 | 3 | 6 | 0.600 | 14 | 20 | 34 | 0 | 1 | 16 | 34 | 37 | 7 | 121 | 185 | 255 | 302 | 20 | 110 | 46 | 17 | 88 | 14 | 6 | 42.86% | 6 | 2 | 66.67% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 47.1% | 11.6% | 90.0% | 101.6 | FUN |
| 4 | Monsters | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 16 | 34 | 37 | 7 | 34 | 185 | 255 | 302 | 20 | 22 | 8 | 4 | 46 | 1 | 1 | 100.00% | 2 | 1 | 50.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 57.1% | 14.7% | 81.8% | 96.5 | FUN |
| 5 | Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 7 | 11 | 0 | 1 | 16 | 34 | 37 | 7 | 25 | 185 | 255 | 302 | 20 | 10 | 6 | 4 | 16 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 100.0% | 16.0% | 100.0% | 116.0 | LUCKY |
| 6 | Condors | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 5 | 9 | 0 | 0 | 16 | 34 | 37 | 7 | 41 | 185 | 255 | 302 | 20 | 40 | 10 | 6 | 34 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 50.0% | 9.8% | 90.0% | 99.8 | FUN |
| 7 | Checkers 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 11 | 18 | 0 | 0 | 16 | 34 | 37 | 7 | 43 | 185 | 255 | 302 | 20 | 20 | 9 | 7 | 26 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 75.0% | 16.3% | 90.0% | 106.3 | FUN |
| 8 | Reign | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 16 | 34 | 37 | 7 | 38 | 185 | 255 | 302 | 20 | 24 | 10 | 8 | 15 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 33.3% | 5.3% | 87.5% | 92.8 | Unlucky |
| 9 | Wild | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 16 | 34 | 37 | 7 | 22 | 185 | 255 | 302 | 20 | 11 | 6 | 2 | 19 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 50.0% | 9.1% | 72.7% | 81.8 | FUN |
| 10 | Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 16 | 34 | 37 | 7 | 17 | 185 | 255 | 302 | 20 | 17 | 6 | 8 | 19 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 100.0% | 17.6% | 94.1% | 111.8 | LUCKY |
| 11 | Penguins | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 16 | 34 | 37 | 7 | 25 | 185 | 255 | 302 | 20 | 27 | 19 | 4 | 21 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 50.0% | 8.0% | 96.3% | 104.3 | DULL |
| 12 | Barracuda | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 0 | 0.000 | 6 | 10 | 16 | 1 | 0 | 16 | 34 | 37 | 7 | 61 | 185 | 255 | 302 | 20 | 33 | 10 | 12 | 57 | 12 | 2 | 16.67% | 6 | 3 | 50.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 33.3% | 9.8% | 66.7% | 76.5 | FUN |
| 13 | Thunderbirds | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 16 | 34 | 37 | 7 | 43 | 185 | 255 | 302 | 20 | 67 | 31 | 10 | 40 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 2 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 58.3% | 18.6% | 92.5% | 111.1 | LUCKY |
| 14 | Crunch | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 16 | 34 | 37 | 7 | 30 | 185 | 255 | 302 | 20 | 14 | 5 | 7 | 22 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 40.0% | 6.7% | 78.6% | 85.2 | Unlucky |
| 15 | Canucks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 16 | 34 | 37 | 7 | 31 | 185 | 255 | 302 | 20 | 31 | 10 | 4 | 24 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 66.7% | 19.4% | 87.1% | 106.5 | FUN |
| 16 | Hershey Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 16 | 34 | 37 | 7 | 36 | 185 | 255 | 302 | 20 | 31 | 3 | 6 | 28 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 50.0% | 13.9% | 77.4% | 91.3 | FUN |
| 17 | Checkers 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 16 | 34 | 37 | 7 | 44 | 185 | 255 | 302 | 20 | 37 | 11 | 14 | 39 | 3 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 37.5% | 6.8% | 78.4% | 85.2 | Unlucky |
| _Vs Conference | 23 | 6 | 8 | 0 | 2 | 4 | 1 | 2 | 61 | 63 | -2 | 24 | 0.522 | 61 | 97 | 158 | 1 | 2 | 16 | 34 | 37 | 7 | 532 | 185 | 255 | 302 | 20 | 497 | 185 | 89 | 438 | 55 | 14 | 25.45% | 43 | 10 | 76.74% | 2 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 47.0% | 11.5% | 87.3% | 98.8 | FUN | |
| _Since Last GM Reset | 31 | 10 | 9 | 0 | 3 | 5 | 1 | 3 | 91 | 85 | 6 | 36 | 0.581 | 91 | 145 | 236 | 1 | 2 | 16 | 34 | 37 | 7 | 748 | 185 | 255 | 302 | 20 | 659 | 245 | 129 | 624 | 68 | 18 | 26.47% | 58 | 15 | 74.14% | 2 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 51.0% | 12.2% | 87.1% | 99.3 | FUN | |
| Total | 31 | 10 | 9 | 0 | 3 | 5 | 1 | 3 | 91 | 85 | 6 | 36 | 0.581 | 91 | 145 | 236 | 1 | 2 | 16 | 34 | 37 | 7 | 748 | 185 | 255 | 302 | 20 | 659 | 245 | 129 | 624 | 68 | 18 | 26.47% | 58 | 15 | 74.14% | 2 | 269 | 555 | 48.47% | 244 | 461 | 52.93% | 225 | 392 | 57.40% | 620 | 288 | 555 | 312 | 712 | 365 | 51.0% | 12.2% | 87.1% | 99.3 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 20 |
| Neutral Zone | 22 |
| Defensive Zone | 17 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 555 |
| Neutral Zone Start | 392 |
| Defensive Zone Start | 461 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 738 |
| Faceoffs Lost | 670 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 6.0 | 9.57 |
| 2nd Period | 14.2 | 20.31 |
| 3rd Period | 23.9 | 30.68 |
| Overtime | 24.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 1.6 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 70 |
|---|---|
| PP Goal | 18 |
| PK Goal | 2 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 8 | 6 |
| Lost | 5 | 4 |
| Overtime Lost | 2 | 6 |
| PP Attempt | 68 |
|---|---|
| PP Goal | 18 |
| PK Attempt | 58 |
| PK Goal Against | 15 |
| Home | |
|---|---|
| Shots For | 24.1 |
| Shots Against | 21.3 |
| Goals For | 2.9 |
| Goals Against | 2.7 |
| Hits | 20.1 |
| Shots Blocked | 7.9 |
| Pim | 4.2 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | COL | @ | PHO | COL2,PHO1 | RECAP | |||||||||
| Thu, Oct 9 | PHO | @ | ANA | PHO6,ANA4 | RECAP | |||||||||
| Sun, Oct 12 | COL | @ | PHO | COL5,PHO3 | RECAP | |||||||||
| Mon, Oct 13 | PHO | @ | ANA | PHO2,ANA3 (OT) | RECAP | |||||||||
| Thu, Oct 16 | PHO | @ | S J | PHO1,S J3 | RECAP | |||||||||
| Fri, Oct 17 | PHO | @ | ANA | PHO2,ANA3 (OT) | RECAP | |||||||||
| Mon, Oct 20 | STL | @ | PHO | STL2,PHO3 (OT) | RECAP | |||||||||
| Wed, Oct 22 | PHO | @ | LOS | PHO2,LOS3 (OT) | RECAP | |||||||||
| Thu, Oct 23 | PHO | @ | COL | PHO3,COL2 (SO) | RECAP | |||||||||
| Fri, Oct 24 | EDM | @ | PHO | EDM2,PHO3 (OT) | RECAP | |||||||||
| Mon, Oct 27 | ANA | @ | PHO | ANA1,PHO4 | RECAP | |||||||||
| Wed, Oct 29 | PHO | @ | SEA | PHO0,SEA4 | RECAP | |||||||||
| Sat, Nov 1 | S J | @ | PHO | S J4,PHO3 | RECAP | |||||||||
| Mon, Nov 3 | CHI | @ | PHO | CHI3,PHO1 | RECAP | |||||||||
| Thu, Nov 6 | MIN | @ | PHO | MIN3,PHO2 (OT) | RECAP | |||||||||
| Sat, Nov 8 | PHO | @ | EDM | PHO1,EDM2 (SO) | RECAP | |||||||||
| Mon, Nov 10 | PHO | @ | PHI | PHO3,PHI1 | RECAP | |||||||||
| Tue, Nov 11 | PHO | @ | COL | PHO5,COL2 | RECAP | |||||||||
| Wed, Nov 12 | STL | @ | PHO | STL3,PHO5 | RECAP | |||||||||
| Fri, Nov 14 | DAL | @ | PHO | DAL0,PHO4 | RECAP | |||||||||
| Mon, Nov 17 | PHO | @ | FLO | PHO7,FLO2 | RECAP | |||||||||
| Tue, Nov 18 | CLB | @ | PHO | CLB2,PHO4 | RECAP | |||||||||
| Thu, Nov 20 | PHO | @ | CHI | PHO3,CHI4 (SO) | RECAP | |||||||||
| Sat, Nov 22 | WAS | @ | PHO | WAS7,PHO5 | RECAP | |||||||||
| Tue, Nov 25 | PHO | @ | PIT | PHO2,PIT1 (OT) | RECAP | |||||||||
| Thu, Nov 27 | VAN | @ | PHO | VAN4,PHO6 | RECAP | |||||||||
| Sat, Nov 29 | PHO | @ | S J | PHO2,S J4 | RECAP | |||||||||
| Sun, Nov 30 | COL | @ | PHO | COL0,PHO2 | RECAP | |||||||||
| Tue, Dec 2 | PHO | @ | SEA | PHO3,SEA4 | RECAP | |||||||||
| Thu, Dec 4 | PHO | @ | CLB | PHO1,CLB2 (SO) | RECAP | |||||||||
| Sat, Dec 6 | TAM | @ | PHO | TAM3,PHO2 (OT) | RECAP | |||||||||
| Tue, Dec 9 | EDM | @ | PHO | |||||||||||
| Thu, Dec 11 | PHO | @ | TOR | |||||||||||
| Sat, Dec 13 | CHI | @ | PHO | |||||||||||
| Mon, Dec 15 | FLO | @ | PHO | |||||||||||
| Wed, Dec 17 | PHO | @ | WAS | |||||||||||
| Thu, Dec 18 | PHO | @ | NYI | |||||||||||
| Sat, Dec 20 | PHO | @ | TAM | |||||||||||
| Mon, Dec 22 | PHI | @ | PHO | |||||||||||
| Thu, Dec 25 | PHO | @ | BUF | |||||||||||
| Sat, Dec 27 | TOR | @ | PHO | |||||||||||
| Wed, Dec 31 | S J | @ | PHO | |||||||||||
| Fri, Jan 2 | PHO | @ | VAN | |||||||||||
| Sun, Jan 4 | PHO | @ | EDM | |||||||||||
| Mon, Jan 5 | NJD | @ | PHO | |||||||||||
| Thu, Jan 8 | PHO | @ | DAL | |||||||||||
| Fri, Jan 9 | NAS | @ | PHO | |||||||||||
| Sun, Jan 11 | PHO | @ | BOS | |||||||||||
| Tue, Jan 13 | SEA | @ | PHO | |||||||||||
| Thu, Jan 15 | PHO | @ | MTL | |||||||||||
| Sat, Jan 17 | NYR | @ | PHO | |||||||||||
| Mon, Jan 19 | PIT | @ | PHO | |||||||||||
| Wed, Jan 21 | PHO | @ | ANA | |||||||||||
| Sat, Jan 24 | NYI | @ | PHO | |||||||||||
| Mon, Jan 26 | CAR | @ | PHO | |||||||||||
| Tue, Jan 27 | PHO | @ | DET | |||||||||||
| Fri, Jan 30 | ANA | @ | PHO | |||||||||||
| Sat, Jan 31 | PHO | @ | NJD | |||||||||||
| Tue, Feb 3 | PHO | @ | CHI | |||||||||||
| Wed, Feb 4 | PHO | @ | OTT | |||||||||||
| Fri, Feb 6 | OTT | @ | PHO | |||||||||||
| Sun, Feb 8 | DET | @ | PHO | |||||||||||
| Wed, Feb 11 | PHO | @ | LOS | |||||||||||
| Thu, Feb 12 | CHI | @ | PHO | |||||||||||
| Sun, Feb 15 | PHO | @ | CHI | |||||||||||
| Mon, Feb 16 | SEA | @ | PHO | |||||||||||
| Wed, Feb 18 | PHO | @ | MIN | |||||||||||
| Fri, Feb 20 | PHO | @ | STL | |||||||||||
| Sat, Feb 21 | CAL | @ | PHO | |||||||||||
| Mon, Feb 23 | PHO | @ | NAS | |||||||||||
| Wed, Feb 25 | LOS | @ | PHO | |||||||||||
| Fri, Feb 27 | WPG | @ | PHO | |||||||||||
| Tue, Mar 3 | PHO | @ | WPG | |||||||||||
| Wed, Mar 4 | BOS | @ | PHO | |||||||||||
| Sat, Mar 7 | PHO | @ | NYR | |||||||||||
| Sun, Mar 8 | PHO | @ | CAL | |||||||||||
| Mon, Mar 9 | LOS | @ | PHO | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Fri, Mar 13 | PHO | @ | CAL | |||||||||||
| Sat, Mar 14 | CAL | @ | PHO | |||||||||||
| Mon, Mar 16 | BUF | @ | PHO | |||||||||||
| Wed, Mar 18 | PHO | @ | CAR | |||||||||||
| Sun, Mar 22 | MTL | @ | PHO | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,915,000$ | 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 |
| 26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,915,000$ | 3,915,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,562,940$ | 0$ | 1,382,480$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 26,124$ | 2,821,392$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,821,392$ | 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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