|
Full Scoreboard »» |
|
Full Scoreboard »» |
Texas Stars 13-6-0, 26pts · 4th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Michael Carcone | 53 | C/LW | 99.00 | 66 | 34 | 84 | 60 | 64 | 74 | 78 | 65 | 58 | 59 | 73 | 54 | 69 | 72 | 70 | 0 | 51 | 74 | 28 | 850,000$/2yrs | |||
Shane Wright (R) | 0 | C | 98.00 | 54 | 32 | 95 | 66 | 75 | 74 | 67 | 65 | 77 | 59 | 75 | 61 | 70 | 59 | 58 | 0 | 54 | 74 | 20 | 950,000$/1yrs | |||
Cameron Hughes | 53 | C/LW | 100.00 | 72 | 40 | 70 | 60 | 71 | 70 | 88 | 64 | 73 | 63 | 62 | 68 | 62 | 70 | 67 | 0 | 54 | 73 | 28 | 775,000$/1yrs | |||
Mitchell Stephens | 0 | C | 99.00 | 57 | 32 | 93 | 57 | 73 | 70 | 69 | 57 | 80 | 54 | 60 | 63 | 58 | 71 | 70 | 0 | 54 | 69 | 27 | 775,000$/1yrs | |||
Austin Rueschhoff | 0 | RW | 100.00 | 71 | 42 | 73 | 52 | 95 | 64 | 86 | 64 | 69 | 52 | 54 | 68 | 53 | 68 | 65 | 0 | 55 | 68 | 27 | 800,000$/2yrs | |||
Scott Reedy | 0 | C | 100.00 | 61 | 39 | 89 | 53 | 84 | 63 | 77 | 62 | 67 | 51 | 56 | 66 | 53 | 64 | 63 | 0 | 55 | 67 | 25 | 850,000$/1yrs | |||
Justin Sourdif (R) | 0 | C/RW | 100.00 | 73 | 39 | 71 | 57 | 67 | 64 | 83 | 59 | 62 | 58 | 54 | 62 | 56 | 59 | 56 | 0 | 55 | 67 | 22 | 847,500$/1yrs | |||
James Malatesta (R) | 0 | LW | 100.00 | 85 | 43 | 58 | 56 | 70 | 63 | 73 | 59 | 65 | 52 | 56 | 61 | 54 | 58 | 53 | 0 | 55 | 67 | 21 | 841,667$/2yrs | |||
Filip Cederqvist (R) | 0 | LW | 100.00 | 65 | 40 | 83 | 51 | 82 | 61 | 84 | 62 | 67 | 50 | 51 | 65 | 51 | 62 | 61 | 0 | 55 | 66 | 24 | 800,000$/2yrs | |||
Jermaine Loewen | 0 | RW | 100.00 | 82 | 43 | 54 | 47 | 89 | 59 | 78 | 64 | 43 | 47 | 46 | 67 | 47 | 66 | 61 | 0 | 28 | 65 | 26 | 775,000$/1yrs | |||
Andre Lee | 0 | LW | 100.00 | 68 | 40 | 78 | 51 | 84 | 60 | 81 | 62 | 72 | 48 | 52 | 65 | 50 | 62 | 60 | 0 | 55 | 65 | 24 | 800,000$/2yrs | |||
Karl Henriksson (R) | 0 | C | 100.00 | 60 | 37 | 91 | 52 | 66 | 61 | 88 | 61 | 67 | 50 | 52 | 64 | 51 | 61 | 60 | 0 | 24 | 65 | 23 | 800,000$/2yrs | |||
Olivier Nadeau (R) | 0 | RW | 100.00 | 63 | 39 | 86 | 50 | 81 | 58 | 66 | 59 | 64 | 45 | 51 | 62 | 48 | 57 | 56 | 0 | 24 | 63 | 21 | 836,667$/2yrs | |||
Isaac Belliveau (R) | 0 | D | 100.00 | 76 | 40 | 68 | 61 | 75 | 67 | 60 | 59 | 60 | 54 | 49 | 63 | 59 | 58 | 54 | 0 | 55 | 68 | 21 | 875,000$/2yrs | |||
Brandon Fortunato | 57 | D | 100.00 | 65 | 38 | 82 | 54 | 66 | 59 | 60 | 56 | 65 | 50 | 42 | 70 | 54 | 68 | 66 | 0 | 45 | 66 | 28 | 775,000$/1yrs | |||
Lian Bichsel (R) | 0 | D | 99.00 | 98 | 46 | 50 | 49 | 95 | 60 | 68 | 47 | 30 | 54 | 47 | 61 | 51 | 55 | 50 | 0 | 55 | 65 | 20 | 950,000$/2yrs | |||
Domenick Fensore (R) | 0 | D | 100.00 | 64 | 37 | 84 | 49 | 55 | 61 | 72 | 47 | 30 | 55 | 47 | 64 | 51 | 61 | 59 | 0 | 55 | 65 | 23 | 775,000$/1yrs | |||
Simon Lundmark | 0 | D | 100.00 | 61 | 39 | 89 | 46 | 80 | 60 | 88 | 45 | 30 | 52 | 48 | 65 | 50 | 62 | 61 | 0 | 23 | 64 | 24 | 850,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Brandon Gignac | 51 | C | 99.00 | 66 | 38 | 82 | 59 | 71 | 69 | 83 | 63 | 71 | 61 | 59 | 67 | 60 | 68 | 66 | 0 | 53 | 71 | 27 | 775,000$/1yrs | |||
Joona Koppanen | 19 | C | 98.00 | 63 | 39 | 86 | 53 | 81 | 64 | 85 | 62 | 63 | 55 | 52 | 67 | 54 | 66 | 65 | 0 | 52 | 68 | 26 | 800,000$/1yrs | |||
Markus Nurmi | 0 | LW/RW | 100.00 | 61 | 39 | 89 | 53 | 85 | 64 | 73 | 63 | 41 | 52 | 56 | 67 | 54 | 66 | 65 | 0 | 21 | 68 | 26 | ||||
Colt Conrad | 72 | C | 100.00 | 70 | 39 | 74 | 48 | 69 | 61 | 72 | 65 | 77 | 49 | 49 | 68 | 49 | 68 | 65 | 0 | 21 | 66 | 27 | ||||
Mitchell Balmas | 0 | C | 100.00 | 59 | 37 | 93 | 47 | 66 | 59 | 71 | 64 | 70 | 46 | 47 | 67 | 47 | 66 | 65 | 0 | 21 | 64 | 26 | ||||
Alexander Kisakov (R) | 0 | LW | 100.00 | 64 | 38 | 84 | 52 | 64 | 60 | 79 | 60 | 69 | 49 | 51 | 63 | 50 | 59 | 57 | 0 | 24 | 64 | 22 | 859,167$/1yrs | |||
Travis Dermott | 0 | D | 100.00 | 67 | 33 | 84 | 55 | 78 | 83 | 74 | 58 | 30 | 57 | 57 | 72 | 57 | 71 | 69 | 0 | 45 | 72 | 27 | 800,000$/1yrs | |||
Cam Dineen | 12 | D | 97.00 | 60 | 38 | 91 | 55 | 72 | 65 | 87 | 51 | 30 | 61 | 49 | 67 | 55 | 66 | 65 | 0 | 53 | 69 | 26 | 800,000$/1yrs | |||
Filip Johansson (R) | 0 | D | 100.00 | 59 | 38 | 93 | 47 | 71 | 61 | 75 | 46 | 30 | 52 | 49 | 65 | 50 | 62 | 62 | 0 | 21 | 64 | 24 | 800,000$/2yrs | |||
Nolan Allan (R) | 0 | D | 100.00 | 71 | 40 | 73 | 46 | 78 | 59 | 75 | 45 | 30 | 51 | 49 | 62 | 50 | 57 | 54 | 0 | 21 | 63 | 21 | 847,500$/1yrs | |||
Hunter McDonald (R) | 0 | D | 100.00 | 77 | 42 | 63 | 46 | 84 | 58 | 67 | 44 | 30 | 51 | 45 | 63 | 48 | 59 | 55 | 0 | 21 | 63 | 22 | 775,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Arvid Holm | 0 | 100.00 | 74 | 78 | 71 | 85 | 66 | 76 | 75 | 74 | 76 | 74 | 75 | 67 | 68 | 0 | 58 | 78 | 26 | 800,000$/2yrs |
Hunter Jones | 0 | 99.00 | 70 | 63 | 68 | 80 | 68 | 75 | 71 | 70 | 75 | 74 | 72 | 64 | 67 | 0 | 52 | 75 | 24 | 900,000$/2yrs |
Scratches | ||||||||||||||||||||
Alexei Kolosov | 0 | 100.00 | 85 | 90 | 80 | 74 | 95 | 83 | 85 | 85 | 83 | 84 | 84 | 61 | 62 | 0 | 30 | 86 | 22 | 925,000$/2yrs |
Zachary Sawchenko | 36 | 100.00 | 68 | 57 | 67 | 74 | 69 | 73 | 70 | 68 | 73 | 72 | 70 | 67 | 71 | 0 | 33 | 73 | 26 | 775,000$/1yrs |
Zachary Emond | 0 | 100.00 | 67 | 54 | 65 | 74 | 66 | 71 | 67 | 67 | 71 | 71 | 68 | 62 | 66 | 0 | 30 | 71 | 24 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Travis Green | 74 | 77 | 74 | 79 | 75 | 70 | 75 | CAN | 52 | 1 | 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 | Shane Wright | Stars (DAL) | C | 19 | 13 | 7 | 20 | 4 | 0 | 0 | 2 | 75 | 34 | 48 | 17.33% | 6 | 21.45 | 2 | 3 | 5 | 48 | 0 | 1 | 1 | 38 | 2 | 0 | 64.81% | 108 | 0 | 0 | 0 | 0 | 0.98 | 0 | 1 | |
2 | Scott Reedy | Stars (DAL) | C | 19 | 4 | 13 | 17 | 4 | 0 | 0 | 2 | 40 | 16 | 17 | 10.00% | 3 | 13.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 52.29% | 306 | 0 | 0 | 0 | 0 | 1.31 | 0 | 0 | |
3 | Cameron Hughes | Stars (DAL) | C/LW | 19 | 6 | 6 | 12 | 3 | 11 | 5 | 44 | 56 | 15 | 25 | 10.71% | 1 | 17.99 | 0 | 2 | 2 | 35 | 1 | 0 | 1 | 26 | 3 | 0 | 53.37% | 163 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
4 | Michael Carcone | Stars (DAL) | C/LW | 16 | 6 | 5 | 11 | 2 | 4 | 0 | 14 | 45 | 17 | 25 | 13.33% | 1 | 16.29 | 1 | 1 | 2 | 28 | 1 | 0 | 1 | 30 | 1 | 1 | 52.44% | 82 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | |
5 | Travis Dermott | Stars (DAL) | D | 16 | 0 | 11 | 11 | 3 | 4 | 0 | 24 | 32 | 6 | 25 | 0.00% | 18 | 22.62 | 0 | 1 | 1 | 42 | 0 | 1 | 1 | 44 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
6 | Austin Rueschhoff | Stars (DAL) | RW | 19 | 5 | 6 | 11 | 3 | 14 | 0 | 38 | 42 | 12 | 24 | 11.90% | 3 | 17.60 | 3 | 2 | 5 | 46 | 0 | 0 | 0 | 0 | 0 | 0 | 55.26% | 333 | 0 | 0 | 0 | 0 | 0.66 | 0 | 1 | |
7 | Brandon Gignac | Stars (DAL) | C | 18 | 2 | 8 | 10 | -3 | 6 | 0 | 19 | 58 | 10 | 41 | 3.45% | 5 | 17.31 | 1 | 4 | 5 | 32 | 0 | 0 | 0 | 27 | 1 | 0 | 45.45% | 44 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
8 | Mitchell Stephens | Stars (DAL) | C | 19 | 3 | 6 | 9 | 5 | 0 | 0 | 9 | 38 | 6 | 22 | 7.89% | 5 | 19.75 | 0 | 2 | 2 | 47 | 0 | 1 | 1 | 39 | 0 | 0 | 55.05% | 198 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
9 | Justin Sourdif | Stars (DAL) | C/RW | 19 | 4 | 5 | 9 | 1 | 10 | 0 | 38 | 33 | 6 | 15 | 12.12% | 4 | 17.35 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 61.54% | 26 | 0 | 0 | 1 | 0 | 0.55 | 1 | 1 | |
10 | James Malatesta | Stars (DAL) | LW | 19 | 3 | 6 | 9 | 5 | 10 | 0 | 40 | 37 | 14 | 18 | 8.11% | 1 | 13.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 45.83% | 24 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
11 | Brandon Fortunato | Stars (DAL) | D | 19 | 3 | 5 | 8 | -1 | 0 | 0 | 2 | 18 | 7 | 18 | 16.67% | 31 | 19.51 | 2 | 1 | 3 | 42 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
12 | Joona Koppanen | Stars (DAL) | C | 18 | 3 | 5 | 8 | -3 | 2 | 0 | 7 | 47 | 16 | 35 | 6.38% | 7 | 21.36 | 2 | 0 | 2 | 46 | 0 | 0 | 0 | 22 | 1 | 0 | 52.75% | 400 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
13 | Cam Dineen | Stars (DAL) | D | 19 | 1 | 6 | 7 | 5 | 2 | 0 | 13 | 17 | 6 | 11 | 5.88% | 33 | 23.66 | 0 | 2 | 2 | 43 | 0 | 0 | 0 | 48 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
14 | Isaac Belliveau | Stars (DAL) | D | 19 | 1 | 5 | 6 | 4 | 16 | 0 | 52 | 20 | 4 | 10 | 5.00% | 29 | 18.99 | 0 | 2 | 2 | 14 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.33 | 0 | 0 | |
15 | Domenick Fensore | Stars (DAL) | D | 19 | 1 | 4 | 5 | 5 | 6 | 0 | 25 | 12 | 3 | 3 | 8.33% | 25 | 15.20 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
16 | Simon Lundmark | Stars (DAL) | D | 3 | 1 | 2 | 3 | 2 | 0 | 0 | 4 | 2 | 0 | 1 | 50.00% | 4 | 16.83 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.19 | 0 | 0 | |
17 | Lian Bichsel | Stars (DAL) | D | 19 | 0 | 3 | 3 | 1 | 34 | 0 | 70 | 8 | 3 | 10 | 0.00% | 18 | 20.47 | 0 | 0 | 0 | 49 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | |
18 | Jermaine Loewen | Stars (DAL) | RW | 6 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 50.00% | 0 | 2.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.20 | 0 | 0 | |
19 | Karl Henriksson | Stars (DAL) | C | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 1 | 11.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.71% | 14 | 0 | 0 | 0 | 0 | 1.75 | 0 | 0 | |
20 | Andre Lee | Stars (DAL) | LW | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 0.71 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
21 | Alexander Kisakov | Stars (DAL) | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
22 | Filip Cederqvist | Stars (DAL) | LW | 19 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 0 | 0.00% | 1 | 0.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
23 | Olivier Nadeau | Stars (DAL) | RW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 0.00% | 0 | 8.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 348 | 57 | 104 | 161 | 43 | 119 | 5 | 408 | 587 | 176 | 350 | 9.71% | 196 | 16.08 | 11 | 20 | 31 | 488 | 2 | 3 | 5 | 392 | 11 | 2 | 53.88% | 1700 | 0 | 0 | 2 | 0 | 0.58 | 1 | 3 |
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 | Arvid Holm | Stars (DAL) | 10 | 7 | 2 | 0 | 0.931 | 2.22 | 568 | 0 | 0 | 21 | 305 | 0 | 0 | 0 | 1.000 | 3 | 9 | 10 | 1 | 0 | 1 |
2 | Hunter Jones | Stars (DAL) | 10 | 6 | 4 | 0 | 0.920 | 2.71 | 576 | 2 | 1 | 26 | 323 | 0 | 0 | 0 | 0.000 | 0 | 10 | 6 | 3 | 0 | 0 |
Team Total or Average | 20 | 13 | 6 | 0 | 0.925 | 2.47 | 1144 | 2 | 1 | 47 | 628 | 0 | 0 | 0 | 1.000 | 3 | 19 | 16 | 4 | 0 | 1 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Kisakov | LW | 22 | 859,167$ | 859,167$ | RFA | ||||||
Alexei Kolosov | G | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Andre Lee | LW | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Arvid Holm | G | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Austin Rueschhoff | RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Brandon Fortunato | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Brandon Gignac | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Cam Dineen | D | 26 | 800,000$ | 800,000$ | RFA | ||||||
Cameron Hughes | C/LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Colt Conrad | C | 27 | 0$ | UFA | |||||||
Domenick Fensore | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Filip Cederqvist | LW | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Filip Johansson | D | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Hunter Jones | G | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Hunter McDonald | D | 22 | 775,000$ | 775,000$ | RFA | ||||||
Isaac Belliveau | D | 21 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
James Malatesta | LW | 21 | 841,667$ | 841,667$ | 841,667$ | RFA | |||||
Jermaine Loewen | RW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Joona Koppanen | C | 26 | 800,000$ | 800,000$ | RFA | ||||||
Justin Sourdif | C/RW | 22 | 847,500$ | 847,500$ | RFA | ||||||
Karl Henriksson | C | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Lian Bichsel | D | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Markus Nurmi | LW/RW | 26 | 0$ | RFA | |||||||
Michael Carcone | C/LW | 28 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Mitchell Balmas | C | 26 | 0$ | RFA | |||||||
Mitchell Stephens | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Nolan Allan | D | 21 | 847,500$ | 847,500$ | RFA | ||||||
Olivier Nadeau | RW | 21 | 836,667$ | 836,667$ | 836,667$ | RFA | |||||
Scott Reedy | C | 25 | 850,000$ | 850,000$ | RFA | ||||||
Shane Wright | C | 20 | 950,000$ | 950,000$ | RFA | ||||||
Simon Lundmark | D | 24 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Travis Dermott | D | 27 | 800,000$ | 800,000$ | UFA | ||||||
Zachary Emond | G | 24 | 0$ | RFA | |||||||
Zachary Sawchenko | G | 26 | 775,000$ | 775,000$ | RFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
| |||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
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 | Wolves | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.333 | 9 | 15 | 24 | 0 | 0 | 23 | 13 | 22 | 1 | 102 | 191 | 195 | 203 | 5 | 105 | 33 | 10 | 50 | 12 | 1 | 8.33% | 4 | 0 | 100.00% | 0 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 44.4% | 8.8% | 90.5% | 99.3 | Unlucky |
2 | Rocket | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 23 | 13 | 22 | 1 | 27 | 191 | 195 | 203 | 5 | 26 | 4 | 0 | 20 | 1 | 1 | 100.00% | 0 | 0 | 0.00% | 0 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 60.0% | 14.8% | 92.3% | 107.1 | LUCKY |
3 | Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 23 | 13 | 22 | 1 | 25 | 191 | 195 | 203 | 5 | 28 | 4 | 6 | 23 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 66.7% | 16.0% | 89.3% | 105.3 | FUN |
4 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 23 | 13 | 22 | 1 | 20 | 191 | 195 | 203 | 5 | 26 | 8 | 4 | 30 | 1 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 33.3% | 5.0% | 84.6% | 89.6 | Unlucky |
5 | Reign | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 23 | 13 | 22 | 1 | 35 | 191 | 195 | 203 | 5 | 37 | 10 | 8 | 19 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 75.0% | 8.6% | 97.3% | 105.9 | DULL |
6 | Admirals | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 14 | 4 | 10 | 8 | 1.000 | 14 | 22 | 36 | 0 | 1 | 23 | 13 | 22 | 1 | 136 | 191 | 195 | 203 | 5 | 120 | 40 | 27 | 81 | 18 | 3 | 16.67% | 12 | 0 | 100.00% | 1 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 73.3% | 10.3% | 96.7% | 107.0 | LUCKY |
7 | Crunch | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 23 | 13 | 22 | 1 | 30 | 191 | 195 | 203 | 5 | 32 | 11 | 10 | 23 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 66.7% | 6.7% | 96.9% | 103.5 | DULL |
8 | Bruins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 23 | 13 | 22 | 1 | 37 | 191 | 195 | 203 | 5 | 48 | 12 | 10 | 29 | 3 | 3 | 100.00% | 5 | 1 | 80.00% | 0 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 0.0% | 8.1% | 95.8% | 103.9 | DULL |
9 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 23 | 13 | 22 | 1 | 74 | 191 | 195 | 203 | 5 | 60 | 18 | 16 | 32 | 7 | 2 | 28.57% | 8 | 3 | 62.50% | 0 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 37.5% | 6.8% | 86.7% | 93.4 | Unlucky |
10 | Monsters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 23 | 13 | 22 | 1 | 36 | 191 | 195 | 203 | 5 | 46 | 17 | 6 | 33 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 57.1% | 13.9% | 93.5% | 107.4 | LUCKY |
11 | Moose | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 23 | 13 | 22 | 1 | 39 | 191 | 195 | 203 | 5 | 62 | 24 | 18 | 46 | 3 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 37.5% | 7.7% | 91.9% | 99.6 | DULL |
12 | Silver Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 23 | 13 | 22 | 1 | 30 | 191 | 195 | 203 | 5 | 38 | 16 | 6 | 25 | 1 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 75.0% | 20.0% | 89.5% | 109.5 | FUN |
_Vs Division | 9 | 6 | 5 | 0 | 0 | 0 | 1 | 0 | 26 | 20 | 6 | 14 | 0.778 | 26 | 44 | 70 | 0 | 1 | 23 | 13 | 22 | 1 | 274 | 191 | 195 | 203 | 5 | 270 | 86 | 67 | 182 | 30 | 5 | 16.67% | 31 | 4 | 87.10% | 1 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 56.8% | 9.5% | 92.6% | 102.1 | LUCKY | |
_Vs Conference | 15 | 8 | 6 | 0 | 0 | 0 | 1 | 0 | 45 | 39 | 6 | 18 | 0.600 | 45 | 77 | 122 | 0 | 1 | 23 | 13 | 22 | 1 | 461 | 191 | 195 | 203 | 5 | 476 | 153 | 95 | 306 | 46 | 6 | 13.04% | 44 | 8 | 81.82% | 2 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 55.7% | 9.8% | 91.8% | 101.6 | LUCKY | |
_Since Last GM Reset | 19 | 12 | 6 | 0 | 0 | 0 | 1 | 0 | 59 | 47 | 12 | 26 | 0.684 | 59 | 104 | 163 | 0 | 1 | 23 | 13 | 22 | 1 | 591 | 191 | 195 | 203 | 5 | 628 | 197 | 121 | 411 | 55 | 11 | 20.00% | 57 | 9 | 84.21% | 2 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 55.8% | 10.0% | 92.5% | 102.5 | LUCKY | |
Total | 19 | 12 | 6 | 0 | 0 | 0 | 1 | 0 | 59 | 47 | 12 | 26 | 0.684 | 59 | 104 | 163 | 0 | 1 | 23 | 13 | 22 | 1 | 591 | 191 | 195 | 203 | 5 | 628 | 197 | 121 | 411 | 55 | 11 | 20.00% | 57 | 9 | 84.21% | 2 | 371 | 687 | 54.00% | 380 | 693 | 54.83% | 169 | 319 | 52.98% | 441 | 291 | 443 | 150 | 259 | 128 | 55.8% | 10.0% | 92.5% | 102.5 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 687 |
Neutral Zone Start | 319 |
Defensive Zone Start | 693 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 920 |
Faceoffs Lost | 779 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.1 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 31.0 | 30.68 |
Overtime | 31.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 46 |
---|---|
PP Goal | 11 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 8 |
Lost | 5 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 55 |
---|---|
PP Goal | 11 |
PK Attempt | 57 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 31.1 |
Shots Against | 33.1 |
Goals For | 3.1 |
Goals Against | 2.5 |
Hits | 21.6 |
Shots Blocked | 10.4 |
Pim | 6.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-06 | Admirals | @ | Stars | Admirals1,Stars4 | RECAP | |||||||||
2024-10-11 | Stars | @ | Wolves | Stars4,Wolves2 | RECAP | |||||||||
2024-10-12 | Reign | @ | Stars | Reign1,Stars3 | RECAP | |||||||||
2024-10-15 | Admirals | @ | Stars | Admirals1,Stars4 | RECAP | |||||||||
2024-10-16 | Stars | @ | Monsters | Stars5,Monsters3 | RECAP | |||||||||
2024-10-18 | Stars | @ | Crunch | Stars2,Crunch1 | RECAP | |||||||||
2024-10-22 | Admirals | @ | Stars | Admirals0,Stars3 | RECAP | |||||||||
2024-10-27 | Moose | @ | Stars | Moose3,Stars0 | RECAP | |||||||||
2024-10-28 | Stars | @ | Moose | Stars3,Moose2 | RECAP | |||||||||
2024-10-29 | Stars | @ | Wild | Stars4,Wild3 | RECAP | |||||||||
2024-11-01 | Canucks | @ | Stars | Canucks4,Stars1 | RECAP | |||||||||
2024-11-03 | Wolves | @ | Stars | Wolves3,Stars2 | RECAP | |||||||||
2024-11-04 | Stars | @ | Admirals | Stars3,Admirals2 (SO) | RECAP | |||||||||
2024-11-07 | Stars | @ | IceHogs | Stars2,IceHogs4 | RECAP | |||||||||
2024-11-11 | Rocket | @ | Stars | Rocket2,Stars4 | RECAP | |||||||||
2024-11-12 | Stars | @ | Bruins | Stars3,Bruins2 | RECAP | |||||||||
2024-11-14 | IceHogs | @ | Stars | IceHogs4,Stars3 | RECAP | |||||||||
2024-11-16 | Wolves | @ | Stars | Wolves5,Stars3 | RECAP | |||||||||
2024-11-17 | Stars | @ | Silver Knights | Stars6,Silver Knights4 | RECAP | |||||||||
2024-11-22 | Senators | @ | Stars | |||||||||||
2024-11-24 | Firebirds | @ | Stars | |||||||||||
2024-11-28 | Stars | @ | Wild | |||||||||||
2024-11-29 | Crunch | @ | Stars | |||||||||||
2024-12-04 | Admirals | @ | Stars | |||||||||||
2024-12-10 | Firebirds | @ | Stars | |||||||||||
2024-12-13 | Stars | @ | Checkers | |||||||||||
2024-12-14 | Stars | @ | Bears | |||||||||||
2024-12-16 | Americans | @ | Stars | |||||||||||
2024-12-21 | Stars | @ | Gulls | |||||||||||
2024-12-23 | Stars | @ | IceHogs | |||||||||||
2024-12-24 | Silver Knights | @ | Stars | |||||||||||
2024-12-27 | Stars | @ | Crunch | |||||||||||
2024-12-28 | Wranglers | @ | Stars | |||||||||||
2025-01-02 | Condors | @ | Stars | |||||||||||
2025-01-04 | Stars | @ | Firebirds | |||||||||||
2025-01-06 | Stars | @ | Phantoms | |||||||||||
2025-01-07 | Wolf Pack | @ | Stars | |||||||||||
2025-01-12 | Griffins | @ | Stars | |||||||||||
2025-01-14 | Stars | @ | Eagles | |||||||||||
2025-01-16 | Stars | @ | Condors | |||||||||||
2025-01-17 | Marlies | @ | Stars | |||||||||||
2025-01-20 | Stars | @ | Wranglers | |||||||||||
2025-01-22 | Stars | @ | Eagles | |||||||||||
2025-01-23 | Roadrunners | @ | Stars | |||||||||||
2025-01-26 | Stars | @ | Senators | |||||||||||
2025-01-27 | Stars | @ | Firebirds | |||||||||||
2025-01-28 | Reign | @ | Stars | |||||||||||
2025-01-31 | IceHogs | @ | Stars | |||||||||||
2025-02-02 | Stars | @ | Moose | |||||||||||
2025-02-06 | Moose | @ | Stars | |||||||||||
2025-02-11 | Eagles | @ | Stars | |||||||||||
2025-02-12 | Stars | @ | Monsters | |||||||||||
2025-02-14 | Stars | @ | Barracuda | |||||||||||
2025-02-15 | Eagles | @ | Stars | |||||||||||
2025-02-20 | Canucks | @ | Stars | |||||||||||
2025-02-22 | Stars | @ | Wolves | |||||||||||
2025-02-25 | Islanders | @ | Stars | |||||||||||
2025-02-27 | Stars | @ | Roadrunners | |||||||||||
2025-02-28 | Thunderbirds | @ | Stars | |||||||||||
2025-03-02 | Stars | @ | Reign | |||||||||||
2025-03-05 | Barracuda | @ | Stars | |||||||||||
2025-03-06 | Stars | @ | Monsters | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-13 | Gulls | @ | Stars | |||||||||||
2025-03-14 | Stars | @ | Admirals | |||||||||||
2025-03-17 | Condors | @ | Stars | |||||||||||
2025-03-18 | Stars | @ | Penguins | |||||||||||
2025-03-19 | Stars | @ | Griffins | |||||||||||
2025-03-23 | Stars | @ | Bruins | |||||||||||
2025-03-24 | Stars | @ | Comets | |||||||||||
2025-03-25 | Wild | @ | Stars | |||||||||||
2025-03-29 | Wild | @ | Stars | |||||||||||
2025-04-03 | Stars | @ | Canucks |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,385,751$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Texas | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,385,751$ | 2,385,751$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
731,473$ | 13,109$ | 605,111$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 150 | 15,856$ | 2,156,416$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,156,416$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie |
---|---|---|
|
|
|