Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 64 | 50 | 75 | 64 | 72 | 80 | 71 | 71 | 58 | 73 | 79 | 69 | 78 | 62 | 69 | 68 | 52 | 67 | 24 | 700,000$/2yrs | |||
![]() | 0 | RW | 99.00 | 67 | 60 | 67 | 66 | 75 | 80 | 77 | 75 | 48 | 73 | 72 | 77 | 67 | 53 | 48 | 79 | 52 | 67 | 19 | 850,000$/1yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 63 | 49 | 71 | 66 | 77 | 67 | 71 | 78 | 74 | 75 | 73 | 75 | 77 | 54 | 49 | 79 | 56 | 66 | 19 | 700,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 68 | 54 | 69 | 66 | 73 | 55 | 70 | 65 | 70 | 63 | 65 | 78 | 61 | 86 | 85 | 15 | 53 | 65 | 33 | 1,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 93 | 52 | 64 | 74 | 59 | 54 | 66 | 48 | 61 | 61 | 74 | 60 | 82 | 79 | 31 | 52 | 63 | 30 | 1,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 62 | 70 | 70 | 73 | 65 | 76 | 70 | 40 | 75 | 66 | 77 | 64 | 53 | 48 | 84 | 52 | 66 | 18 | 850,000$/2yrs | |||
![]() | 0 | D | 99.00 | 62 | 42 | 93 | 59 | 80 | 73 | 84 | 50 | 30 | 49 | 48 | 82 | 50 | 89 | 85 | 12 | 53 | 66 | 33 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 52 | 68 | 60 | 75 | 77 | 71 | 63 | 40 | 69 | 57 | 82 | 52 | 53 | 48 | 77 | 52 | 65 | 19 | 700,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 79 | 71 | 72 | 59 | 80 | 59 | 85 | 62 | 32 | 63 | 65 | 62 | 71 | 66 | 71 | 77 | 52 | 62 | 26 | 875,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 63 | 31 | 76 | 61 | 77 | 61 | 65 | 59 | 42 | 67 | 63 | 67 | 62 | 73 | 71 | 58 | 50 | 61 | 27 | 875,000$/3yrs | |||
![]() | 0 | D | 100.00 | 71 | 42 | 80 | 69 | 82 | 78 | 69 | 53 | 30 | 50 | 48 | 82 | 55 | 56 | 51 | 79 | 52 | 65 | 20 | 1,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 56 | 48 | 77 | 62 | 80 | 71 | 68 | 57 | 40 | 62 | 49 | 78 | 50 | 54 | 49 | 68 | 52 | 62 | 25 | 650,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 55 | 78 | 61 | 78 | 62 | 50 | 55 | 30 | 57 | 47 | 80 | 52 | 76 | 73 | 43 | 52 | 62 | 30 | 2,500,000$/2yrs | |||
TEAM AVERAGE | 99.77 | 67 | 55 | 73 | 64 | 77 | 68 | 70 | 63 | 45 | 64 | 61 | 76 | 61 | 66 | 64 | 59 | 52 | 64 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 74 | 78 | 75 | 78 | 78 | 85 | 85 | 84 | 82 | 75 | 76 | 54 | 51 | 82 | 50 | 75 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jeff Blashill | 78 | 93 | 80 | 73 | 77 | 80 | 70 | USA | 45 | 8 | 2,000,000$ |
General Manager |
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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 |
Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | ![]() | C/LW/RW | 3 | 1 | 4 | 5 | 1 | 10 | 10 | 7 | 6 | 2 | 7 | 16.67% | 1 | 18.37 | 1 | 2 | 3 | 11 | 0 | 0 | 0 | 3 | 0 | 0 | 61.11% | 18 | 2 | 0 | 0 | 0 | 1.81 | 0 | 0 | ||
![]() | ![]() | RW | 3 | 2 | 1 | 3 | 0 | 2 | 0 | 2 | 5 | 1 | 7 | 40.00% | 4 | 20.29 | 2 | 0 | 2 | 11 | 0 | 0 | 0 | 9 | 1 | 0 | 50.00% | 22 | 3 | 1 | 0 | 0 | 0.99 | 0 | 0 | ||
![]() | ![]() | D | 3 | 0 | 2 | 2 | 3 | 6 | 0 | 6 | 12 | 4 | 5 | 0.00% | 6 | 26.85 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.50 | 0 | 0 | ||
![]() | ![]() | RW | 3 | 1 | 1 | 2 | 2 | 6 | 0 | 6 | 9 | 6 | 8 | 11.11% | 2 | 21.95 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 13 | 0 | 0 | 50.00% | 8 | 4 | 2 | 0 | 0 | 0.61 | 0 | 0 | ||
![]() | ![]() | C/LW/RW | 3 | 0 | 1 | 1 | -1 | 11 | 5 | 4 | 4 | 1 | 2 | 0.00% | 1 | 13.76 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 12 | 1 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
![]() | ![]() | D | 3 | 0 | 0 | 0 | 3 | 5 | 5 | 1 | 5 | 1 | 2 | 0.00% | 4 | 26.39 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | C/LW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 4.16 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | LW/RW | 3 | 0 | 0 | 0 | 1 | 4 | 0 | 5 | 3 | 0 | 2 | 0.00% | 1 | 10.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 2 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | RW | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 2 | 0.00% | 0 | 6.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | D | 3 | 0 | 0 | 0 | -1 | 2 | 0 | 1 | 0 | 0 | 1 | 0.00% | 5 | 19.16 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | D | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0.00% | 1 | 10.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | D | 3 | 0 | 0 | 0 | -1 | 2 | 0 | 5 | 0 | 1 | 0 | 0.00% | 2 | 19.33 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
![]() | ![]() | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 6.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 38 | 4 | 9 | 13 | 7 | 50 | 20 | 40 | 47 | 17 | 37 | 8.51% | 27 | 16.02 | 3 | 3 | 6 | 88 | 0 | 0 | 0 | 78 | 1 | 0 | 51.56% | 64 | 13 | 17 | 0 | 0 | 0.43 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Eric Comrie | Lehigh Valley Phantoms (PHI) | 3 | 2 | 1 | 0 | 0.900 | 2.67 | 180 | 0 | 0 | 8 | 80 | 34 | 0 | 0 | 0.000 | 0 | 3 | 0 | 0 | 0 | 0 |
Team Total or Average | 3 | 2 | 1 | 0 | 0.900 | 2.67 | 180 | 0 | 0 | 8 | 80 | 34 | 0 | 0 | 0.000 | 0 | 3 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brock Boeser ![]() | RW | 19 | 850,000$ | 850,000$ | RFA | ||||||
Bryan Rust ![]() | RW | 24 | 700,000$ | 700,000$ | 700,000$ | UFA | |||||
Dennis Cholowski ![]() | D | 18 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Derek Dorsett ![]() | LW/RW | 30 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Eric Comrie ![]() | G | 21 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
Jack LaFontaine ![]() | G | 18 | 650,000$ | 650,000$ | 650,000$ | RFA | |||||
Jirky Jokipakka ![]() | D | 25 | 650,000$ | 650,000$ | UFA | ||||||
Joel Ek-Eriksson ![]() | C/LW/RW | 19 | 700,000$ | 700,000$ | RFA | ||||||
Johnny Boychuk ![]() | D | 33 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Lance Bouma ![]() | C/LW | 27 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | UFA | ||||
Maxime Talbot ![]() | C/LW/RW | 33 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Ryan Collins ![]() | D | 20 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
Ryan Wilson ![]() | D | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Travis Dermott ![]() | D | 19 | 700,000$ | 700,000$ | RFA | ||||||
Zack Kassian ![]() | RW | 26 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | UFA |
Forward Lines | |||||||
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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 |
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Hartford Wolf Pack | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 3 | 4 | 4 | 0 | 31 | 31 | 36 | 23 | 0 | 25 | 9 | 10 | 15 | 7 | 3 | 42.86% | 5 | 2 | 60.00% | 0 | 44 | 80 | 55.00% | 35 | 69 | 50.72% | 24 | 50 | 48.00% | 67 | 38 | 55 | 29 | 56 | 27 | 100.0% | 19.4% | 92.0% | 111.4 | LUCKY |
Hershey Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 3 | 4 | 4 | 0 | 27 | 31 | 36 | 23 | 0 | 24 | 14 | 36 | 21 | 3 | 1 | 33.33% | 8 | 1 | 87.50% | 0 | 44 | 80 | 55.00% | 35 | 69 | 50.72% | 24 | 50 | 48.00% | 67 | 38 | 55 | 29 | 56 | 27 | 25.0% | 7.4% | 83.3% | 90.7 | Unlucky |
Bridgeport Sound Tigers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 3 | 4 | 4 | 0 | 32 | 31 | 36 | 23 | 0 | 31 | 12 | 6 | 26 | 6 | 1 | 16.67% | 3 | 2 | 33.33% | 0 | 44 | 80 | 55.00% | 35 | 69 | 50.72% | 24 | 50 | 48.00% | 67 | 38 | 55 | 29 | 56 | 27 | 100.0% | 9.4% | 93.5% | 102.9 | LUCKY |
_Vs Conference | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.667 | 11 | 16 | 27 | 0 | 0 | 3 | 4 | 4 | 0 | 90 | 31 | 36 | 23 | 0 | 80 | 35 | 52 | 62 | 16 | 5 | 31.25% | 16 | 5 | 68.75% | 0 | 44 | 80 | 55.00% | 35 | 69 | 50.72% | 24 | 50 | 48.00% | 67 | 38 | 55 | 29 | 56 | 27 | 66.7% | 12.2% | 90.0% | 102.2 | FUN |
_Since Last GM Reset | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.667 | 11 | 16 | 27 | 0 | 0 | 3 | 4 | 4 | 0 | 90 | 31 | 36 | 23 | 0 | 80 | 35 | 52 | 62 | 16 | 5 | 31.25% | 16 | 5 | 68.75% | 0 | 44 | 80 | 55.00% | 35 | 69 | 50.72% | 24 | 50 | 48.00% | 67 | 38 | 55 | 29 | 56 | 27 | 66.7% | 12.2% | 90.0% | 102.2 | FUN |
Total | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 4 | 0.667 | 11 | 16 | 27 | 0 | 0 | 3 | 4 | 4 | 0 | 90 | 31 | 36 | 23 | 0 | 80 | 35 | 52 | 62 | 16 | 5 | 31.25% | 16 | 5 | 68.75% | 0 | 44 | 80 | 55.00% | 35 | 69 | 50.72% | 24 | 50 | 48.00% | 67 | 38 | 55 | 29 | 56 | 27 | 66.7% | 12.2% | 90.0% | 102.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 18 |
Defensive Zone | 18 |
Puck Time | |
---|---|
Offensive Zone Start | 80 |
Neutral Zone Start | 50 |
Defensive Zone Start | 69 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 103 |
Faceoffs Lost | 96 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 22.3 | 20.31 |
3rd Period | 30.0 | 30.68 |
Overtime | 30.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.7 | 2.67 |
Overtime | 3.7 | 2.83 |
Even Strenght Goal | 6 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 16 |
---|---|
PP Goal | 5 |
PK Attempt | 16 |
PK Goal Against | 5 |
Home | |
---|---|
Shots For | 30.0 |
Shots Against | 26.7 |
Goals For | 3.7 |
Goals Against | 2.7 |
Hits | 20.7 |
Shots Blocked | 11.7 |
Pim | 17.3 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
1,745,000$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Lehigh Valley | |
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 |
15 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
1,745,000$ | 1,745,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 82 | 0$ | 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 |
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Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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