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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Mulheim Mustangs 7-2-2, 16pts · 3rd in World Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 100.00 | 69 | 43 | 74 | 89 | 76 | 85 | 98 | 92 | 98 | 92 | 94 | 72 | 63 | 76 | 78 | 93 | 75 | 88 | 28 | 8,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 40 | 93 | 91 | 61 | 85 | 87 | 99 | 58 | 91 | 90 | 66 | 53 | 66 | 67 | 90 | 75 | 85 | 23 | 8,000,000$/7yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 80 | 44 | 94 | 86 | 67 | 81 | 98 | 95 | 84 | 88 | 88 | 76 | 61 | 69 | 69 | 88 | 75 | 85 | 25 | 7,350,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 40 | 87 | 86 | 60 | 80 | 97 | 93 | 42 | 84 | 89 | 65 | 37 | 73 | 73 | 87 | 75 | 82 | 25 | 9,800,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 99 | 94 | 56 | 82 | 82 | 80 | 99 | 95 | 70 | 81 | 91 | 66 | 41 | 70 | 70 | 87 | 75 | 82 | 24 | 8,330,673$/5yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 43 | 91 | 74 | 69 | 74 | 99 | 84 | 83 | 82 | 84 | 64 | 66 | 94 | 96 | 83 | 75 | 78 | 39 | 5,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 87 | 96 | 80 | 78 | 82 | 73 | 99 | 67 | 86 | 73 | 68 | 84 | 25 | 76 | 79 | 70 | 75 | 73 | 31 | 1,650,000$/1yrs | |||
![]() | 21 | C | 100.00 | 87 | 45 | 92 | 89 | 70 | 69 | 80 | 66 | 99 | 65 | 73 | 77 | 25 | 65 | 66 | 70 | 75 | 71 | 26 | 800,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 43 | 90 | 77 | 69 | 73 | 85 | 65 | 92 | 71 | 59 | 89 | 25 | 65 | 66 | 64 | 75 | 70 | 28 | 1,700,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 85 | 99 | 62 | 69 | 91 | 63 | 76 | 66 | 87 | 62 | 70 | 79 | 25 | 63 | 64 | 67 | 75 | 69 | 29 | 1,050,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 71 | 90 | 76 | 76 | 80 | 65 | 85 | 77 | 25 | 65 | 73 | 61 | 61 | 95 | 99 | 70 | 75 | 68 | 39 | 975,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 89 | 46 | 87 | 80 | 76 | 61 | 92 | 65 | 57 | 62 | 70 | 66 | 25 | 65 | 66 | 67 | 75 | 66 | 29 | 575,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 43 | 91 | 80 | 85 | 83 | 99 | 83 | 25 | 68 | 53 | 83 | 61 | 98 | 99 | 76 | 75 | 79 | 39 | 8,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 53 | 86 | 81 | 64 | 81 | 98 | 68 | 25 | 60 | 48 | 87 | 25 | 63 | 63 | 67 | 75 | 75 | 24 | 886,667$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 44 | 93 | 78 | 76 | 80 | 97 | 63 | 25 | 59 | 48 | 87 | 25 | 79 | 82 | 61 | 75 | 72 | 30 | 1,650,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 84 | 77 | 76 | 78 | 80 | 63 | 25 | 54 | 49 | 92 | 25 | 67 | 70 | 59 | 75 | 72 | 33 | 650,000$/1yrs | |||
![]() | 25 | D | 100.00 | 98 | 99 | 67 | 70 | 88 | 67 | 65 | 64 | 25 | 52 | 47 | 88 | 63 | 62 | 63 | 59 | 75 | 70 | 32 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 87 | 99 | 61 | 65 | 85 | 65 | 77 | 63 | 25 | 51 | 48 | 87 | 25 | 65 | 66 | 58 | 75 | 69 | 30 | 650,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 17 | C/LW | 100.00 | 65 | 41 | 92 | 86 | 62 | 57 | 94 | 65 | 43 | 63 | 58 | 80 | 72 | 94 | 95 | 60 | 75 | 64 | 37 | 625,000$/1yrs | |||
![]() | 0 | D | 100.00 | 83 | 59 | 72 | 72 | 84 | 72 | 81 | 63 | 25 | 50 | 47 | 85 | 25 | 60 | 61 | 57 | 75 | 68 | 24 | 1,050,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 78 | 60 | 81 | 79 | 75 | 74 | 89 | 75 | 55 | 69 | 67 | 78 | 41 | 73 | 75 | 72 | 75 | 74 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 66 | 86 | 84 | 84 | 65 | 66 | 71 | 69 | 65 | 66 | 95 | 71 | 76 | 77 | 75 | 79 | 29 | 9,500,000$/5yrs |
![]() | 0 | 100.00 | 67 | 70 | 68 | 83 | 70 | 65 | 71 | 68 | 71 | 67 | 78 | 59 | 59 | 78 | 75 | 76 | 27 | 1,000,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 67 | 78 | 76 | 84 | 68 | 66 | 71 | 69 | 68 | 67 | 87 | 65 | 68 | 78 | 75 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Sascha Zerwas |
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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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Leon Draisaitl | ![]() | 0 | C/LW/RW | 11 | 11 | 11 | 22 | 6 | 8 | 0 | 14 | 50 | 10 | 23 | 22.00% | 0 | 20.90 | 2 | 5 | 7 | 0 | 0 | 0 | 14 | 2 | 0 | 57.83% | 249 | 0 | 0 | 0 | 0 | 1.91 | 1 | 1 |
2 | Jack Hughes | ![]() | 0 | C/LW | 11 | 6 | 13 | 19 | 6 | 2 | 0 | 3 | 52 | 7 | 35 | 11.54% | 1 | 20.56 | 2 | 4 | 6 | 0 | 0 | 0 | 10 | 2 | 1 | 46.55% | 58 | 0 | 0 | 0 | 0 | 1.68 | 0 | 0 |
3 | Elias Pettersson | ![]() | 0 | C/LW/RW | 11 | 5 | 13 | 18 | 3 | 9 | 5 | 25 | 39 | 13 | 48 | 12.82% | 1 | 19.97 | 1 | 5 | 6 | 0 | 0 | 0 | 8 | 0 | 2 | 52.00% | 25 | 0 | 0 | 0 | 0 | 1.64 | 0 | 1 |
4 | Brent Burns | ![]() | 0 | D | 11 | 1 | 8 | 9 | 9 | 6 | 0 | 10 | 21 | 4 | 17 | 4.76% | 25 | 23.84 | 1 | 1 | 2 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 |
5 | Joe Pavelski | ![]() | 0 | C/RW | 11 | 4 | 4 | 8 | -2 | 2 | 0 | 1 | 27 | 14 | 21 | 14.81% | 1 | 17.62 | 3 | 3 | 6 | 0 | 0 | 0 | 9 | 1 | 0 | 53.44% | 262 | 0 | 0 | 0 | 0 | 0.83 | 0 | 1 |
6 | Cody Ceci | ![]() | 0 | D | 11 | 2 | 6 | 8 | -8 | 6 | 0 | 14 | 17 | 5 | 10 | 11.76% | 14 | 21.76 | 2 | 4 | 6 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 |
7 | Brady Tkachuk | ![]() | 0 | LW | 11 | 4 | 4 | 8 | -2 | 18 | 0 | 46 | 44 | 9 | 27 | 9.09% | 2 | 16.69 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 58.33% | 12 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 |
8 | Clayton Keller | ![]() | 0 | LW/RW | 11 | 3 | 4 | 7 | -3 | 0 | 0 | 0 | 48 | 12 | 24 | 6.25% | 0 | 17.17 | 2 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 46.15% | 13 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 |
9 | Janis Moser | ![]() | 0 | D | 9 | 1 | 4 | 5 | 4 | 4 | 0 | 22 | 16 | 6 | 10 | 6.25% | 16 | 22.44 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 |
10 | Jan Rutta | ![]() | 0 | D | 11 | 2 | 3 | 5 | -5 | 8 | 0 | 16 | 14 | 2 | 14 | 14.29% | 15 | 22.20 | 2 | 2 | 4 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
11 | Jake Evans | ![]() | 0 | C/RW | 11 | 2 | 2 | 4 | -2 | 0 | 0 | 9 | 13 | 3 | 10 | 15.38% | 2 | 12.84 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 54.65% | 86 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 |
12 | Adam Lowry | ![]() | 0 | C | 11 | 1 | 3 | 4 | -3 | 8 | 0 | 10 | 30 | 3 | 9 | 3.33% | 2 | 11.88 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 59.44% | 143 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 |
13 | Corey Perry | ![]() | 0 | RW | 11 | 1 | 0 | 1 | 0 | 5 | 5 | 2 | 15 | 2 | 10 | 6.67% | 0 | 6.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 |
14 | Jarred Tinordi | ![]() | 25 | D | 11 | 0 | 1 | 1 | -1 | 8 | 0 | 33 | 6 | 3 | 4 | 0.00% | 8 | 16.75 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 |
15 | Michael McCarron | ![]() | 0 | C/RW | 11 | 1 | 0 | 1 | -2 | 12 | 0 | 22 | 6 | 1 | 5 | 16.67% | 0 | 11.52 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 45.45% | 11 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 |
16 | Michael McLeod | ![]() | 21 | C | 11 | 0 | 1 | 1 | -1 | 2 | 0 | 7 | 16 | 6 | 11 | 0.00% | 0 | 8.47 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 53.16% | 79 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 |
17 | Kevin Bahl | ![]() | 0 | D | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 1 | 0 | 0.00% | 1 | 15.33 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Sam Lafferty | ![]() | 0 | C/LW | 11 | 0 | 0 | 0 | -1 | 0 | 0 | 9 | 8 | 4 | 6 | 0.00% | 1 | 9.38 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 41.27% | 63 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
19 | Josh Brown | ![]() | 0 | D | 11 | 0 | 0 | 0 | 0 | 6 | 0 | 19 | 6 | 1 | 5 | 0.00% | 12 | 15.33 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 44 | 77 | 121 | -2 | 106 | 10 | 264 | 428 | 106 | 289 | 10.28% | 101 | 16.39 | 16 | 28 | 44 | 324 | 0 | 0 | 0 | 317 | 7 | 3 | 54.02% | 1007 | 0 | 0 | 0 | 0 | 0.75 | 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 | Andrei Vasilevsky | ![]() | 10 | 6 | 2 | 2 | 0.911 | 3.04 | 611 | 2 | 0 | 31 | 347 | 0 | 1 | 0 | 0.333 | 3 | 10 | 1 | 1 | 0 | 0 |
2 | Samuel Montembeault | ![]() | 1 | 1 | 0 | 0 | 0.909 | 3.00 | 60 | 0 | 0 | 3 | 33 | 0 | 0 | 0 | 0.000 | 0 | 1 | 10 | 0 | 0 | 0 |
Team Total or Average | 11 | 7 | 2 | 2 | 0.911 | 3.04 | 671 | 2 | 0 | 34 | 380 | 0 | 1 | 0 | 0.333 | 3 | 11 | 11 | 1 | 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 |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.00 | 2.00 | 2 | 1.000 | 5.0 | 10.0 | 15.0 | 0 | 0 | 2 | 2 | 1 | 0 | 37.0 | 17 | 10 | 10 | 0 | 33.0 | 13.0 | 6.00 | 17.0 | 3.00 | 1.00 | 33.33% | 3.00 | 0.00 | 100.00% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 21.00 | 16.00 | 25.00 | 6.00 | 12.00 | 5.00 | 57.1% | 13.5% | 90.9% | 104.4 | FUN |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 2.00 | 3.00 | 4 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 8 | 1 | 1 | 0 | 42.5 | 40 | 24 | 21 | 0 | 32.0 | 11.5 | 15.00 | 31.0 | 3.50 | 1.50 | 42.86% | 4.00 | 1.00 | 75.00% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 24.00 | 17.00 | 22.50 | 7.00 | 12.50 | 6.50 | 77.8% | 11.8% | 93.8% | 105.5 | LUCKY |
3 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3.00 | 5.00 | -2.00 | 1 | 0.250 | 3.0 | 5.0 | 8.0 | 0 | 0 | 2 | 2 | 2 | 1 | 41.5 | 33 | 23 | 21 | 9 | 41.0 | 11.0 | 9.00 | 23.5 | 2.50 | 1.00 | 40.00% | 4.50 | 0.00 | 100.00% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 23.50 | 16.00 | 25.00 | 7.50 | 13.00 | 6.00 | 28.6% | 7.2% | 87.8% | 95.0 | Unlucky |
4 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3.00 | 2.00 | 1.00 | 3 | 0.750 | 3.0 | 4.5 | 7.5 | 0 | 0 | 0 | 3 | 3 | 0 | 36.0 | 14 | 30 | 28 | 0 | 34.0 | 7.0 | 12.00 | 24.5 | 4.00 | 1.00 | 25.00% | 5.50 | 1.00 | 81.82% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 24.50 | 17.00 | 23.50 | 7.50 | 12.50 | 6.00 | 66.7% | 8.3% | 94.1% | 102.5 | DULL |
5 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5.50 | 4.00 | 1.50 | 4 | 1.000 | 5.5 | 9.5 | 15.0 | 0 | 0 | 3 | 5 | 2 | 1 | 38.5 | 27 | 20 | 28 | 2 | 37.5 | 8.0 | 7.00 | 22.0 | 5.50 | 3.50 | 63.64% | 3.50 | 0.50 | 85.71% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 22.50 | 15.50 | 26.50 | 7.00 | 11.50 | 6.00 | 36.4% | 14.3% | 89.3% | 103.6 | FUN |
6 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 5.5 | 8.5 | 0 | 0 | 2 | 2 | 1 | 1 | 37.0 | 23 | 27 | 19 | 5 | 29.0 | 6.5 | 8.00 | 22.5 | 4.50 | 0.50 | 11.11% | 3.50 | 0.50 | 85.71% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 24.50 | 17.00 | 23.00 | 7.00 | 12.50 | 6.50 | 50.0% | 8.1% | 89.7% | 97.8 | Unlucky |
_Vs Division | 11 | 5 | 2 | 0 | 2 | 1 | 0 | 1 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 7.0 | 11.0 | 0 | 0 | 17 | 15 | 10 | 3 | 38.9 | 154 | 134 | 127 | 16 | 34.5 | 9.2 | 9.82 | 24.0 | 3.91 | 1.45 | 37.21% | 4.09 | 0.55 | 86.67% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 23.82 | 16.73 | 24.55 | 7.27 | 12.55 | 6.36 | 49.1% | 10.3% | 90.8% | 101.1 | FUN | |
_Vs Conference | 11 | 5 | 2 | 0 | 2 | 1 | 0 | 1 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 7.0 | 11.0 | 0 | 0 | 17 | 15 | 10 | 3 | 38.9 | 154 | 134 | 127 | 16 | 34.5 | 9.2 | 9.82 | 24.0 | 3.91 | 1.45 | 37.21% | 4.09 | 0.55 | 86.67% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 23.82 | 16.73 | 24.55 | 7.27 | 12.55 | 6.36 | 49.1% | 10.3% | 90.8% | 101.1 | FUN | |
_Since Last GM Reset | 11 | 5 | 2 | 0 | 2 | 1 | 0 | 1 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 7.0 | 11.0 | 0 | 0 | 17 | 15 | 10 | 3 | 38.9 | 154 | 134 | 127 | 16 | 34.5 | 9.2 | 9.82 | 24.0 | 3.91 | 1.45 | 37.21% | 4.09 | 0.55 | 86.67% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 23.82 | 16.73 | 24.55 | 7.27 | 12.55 | 6.36 | 49.1% | 10.3% | 90.8% | 101.1 | FUN | |
Total | 11 | 5 | 2 | 0 | 2 | 1 | 0 | 1 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 7.0 | 11.0 | 0 | 0 | 17 | 15 | 10 | 3 | 38.9 | 154 | 134 | 127 | 16 | 34.5 | 9.2 | 9.82 | 24.0 | 3.91 | 1.45 | 37.21% | 4.09 | 0.55 | 86.67% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 23.82 | 16.73 | 24.55 | 7.27 | 12.55 | 6.36 | 49.1% | 10.3% | 90.8% | 101.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 412 |
Neutral Zone Start | 177 |
Defensive Zone Start | 398 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 544 |
Faceoffs Lost | 443 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 14.0 | 9.57 |
2nd Period | 26.2 | 20.31 |
3rd Period | 37.7 | 30.68 |
Overtime | 39.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.9 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 4.1 | 2.83 |
Even Strenght Goal | 28 |
---|---|
PP Goal | 16 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 3 |
Lost | 0 | 2 |
Overtime Lost | 1 | 1 |
PP Attempt | 43 |
---|---|
PP Goal | 16 |
PK Attempt | 45 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 38.9 |
Shots Against | 34.5 |
Goals For | 4.0 |
Goals Against | 3.2 |
Hits | 24.0 |
Shots Blocked | 9.2 |
Pim | 9.8 |
![]() | |
Total Salaries | 79,192,341$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 50 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 15 |
LTIR Players | 0 |
Mustangs Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry | C | 31 | 1,650,000$ | 1,650,000$ | 1,650,000$ | UFA | ||||||
Andrei Vasilevsky | G | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||
Andrew Cogliano | C/LW | 37 | 625,000$ | 625,000$ | 625,000$ | UFA | ||||||
Brady Tkachuk | LW | 24 | 8,330,673$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | UFA | ||
Brent Burns | D | 39 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||||
Clayton Keller | LW/RW | 25 | 9,800,000$ | 9,800,000$ | 9,800,000$ | 9,800,000$ | RFA | |||||
Cody Ceci | D | 30 | 1,650,000$ | 1,650,000$ | 1,650,000$ | UFA | ||||||
Corey Perry | RW | 39 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Elias Pettersson | C/LW/RW | 25 | 7,350,000$ | 7,350,000$ | 7,350,000$ | RFA | ||||||
Jack Hughes | C/LW | 23 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA |
Jake Evans | C/RW | 28 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | |||||
Jan Rutta | D | 33 | 650,000$ | 650,000$ | 650,000$ | UFA | ||||||
Janis Moser | D | 24 | 886,667$ | 886,667$ | 886,667$ | RFA | ||||||
Jarred Tinordi | D | 32 | 950,000$ | 950,000$ | 950,000$ | UFA | ||||||
Joe Pavelski | C/RW | 39 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||||
Josh Brown | D | 30 | 650,000$ | 650,000$ | 650,000$ | UFA | ||||||
Kevin Bahl | D | 24 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | RFA | |||||
Leon Draisaitl | C/LW/RW | 28 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||||
Michael McCarron | C/RW | 29 | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | ||||||
Michael McLeod | C | 26 | 800,000$ | 800,000$ | 800,000$ | RFA | ||||||
Sam Lafferty | C/LW | 29 | 575,000$ | 575,000$ | 575,000$ | 575,000$ | UFA | |||||
Samuel Montembeault | G | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Akil Thomas | C/RW | 24 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Alexander Suzdalev | C/LW/RW | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Arshdeep Bains | LW | 23 | 816,667$ | 81,667$ | 81,667$ | 81,667$ | RFA | |||||
Chase Wheatcroft | C/LW/RW | 22 | 862,500$ | 86,250$ | 86,250$ | 86,250$ | 86,250$ | RFA | ||||
Dominik Bokk | LW/RW | 24 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Eric Robinson | LW | 29 | 950,000$ | 95,000$ | 95,000$ | 95,000$ | UFA | |||||
Garrett Brown | D | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Jack Finley | C | 21 | 797,500$ | 79,750$ | 79,750$ | 79,750$ | RFA | |||||
Jack Sparkes | D | 20 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Jake Christiansen | D | 24 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Jalen Chatfield | D | 28 | 762,500$ | 76,250$ | 76,250$ | UFA | ||||||
Jaroslav Chmelar | LW/RW | 20 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Jaxson Stauber | G | 25 | 883,750$ | 88,375$ | 88,375$ | RFA | ||||||
Jet Greaves | G | 23 | 825,000$ | 82,500$ | 82,500$ | 82,500$ | 82,500$ | 82,500$ | RFA | |||
Kevin Mandolese | G | 23 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Lukas Reichel | LW/RW | 22 | 925,000$ | 92,500$ | 92,500$ | RFA | ||||||
Marc McLaughlin | C | 24 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Marshall Warren | D | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Phil Di Giuseppe | LW/RW | 30 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Prokhor Poltapov | LW/RW | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Rory Kerins | C/LW | 22 | 846,667$ | 84,667$ | 84,667$ | 84,667$ | RFA | |||||
Simon Johansson | D | 25 | 855,000$ | 85,500$ | 85,500$ | RFA | ||||||
Talyn Boyko | G | 21 | 850,833$ | 85,083$ | 85,083$ | 85,083$ | RFA | |||||
Tye Kartye | C | 23 | 859,167$ | 85,917$ | 85,917$ | 85,917$ | RFA | |||||
Tyler Boucher | LW/RW | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Uvis Balinskis | D | 27 | 675,000$ | 67,500$ | 67,500$ | 67,500$ | 67,500$ | UFA | ||||
Viktor Hurtig | D | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Zam Plante | C | 19 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.00 | 2.00 | 2 | 1.000 | 5.0 | 10.0 | 15.0 | 0 | 0 | 2 | 2 | 1 | 0 | 37.0 | 17 | 10 | 10 | 0 | 33.0 | 13.0 | 6.00 | 17.0 | 3.00 | 1.00 | 33.33% | 3.00 | 0.00 | 100.00% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 21.00 | 16.00 | 25.00 | 6.00 | 12.00 | 5.00 | 57.1% | 13.5% | 90.9% | 104.4 | FUN |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 2.00 | 3.00 | 4 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 8 | 1 | 1 | 0 | 42.5 | 40 | 24 | 21 | 0 | 32.0 | 11.5 | 15.00 | 31.0 | 3.50 | 1.50 | 42.86% | 4.00 | 1.00 | 75.00% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 24.00 | 17.00 | 22.50 | 7.00 | 12.50 | 6.50 | 77.8% | 11.8% | 93.8% | 105.5 | LUCKY |
3 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3.00 | 5.00 | -2.00 | 1 | 0.250 | 3.0 | 5.0 | 8.0 | 0 | 0 | 2 | 2 | 2 | 1 | 41.5 | 33 | 23 | 21 | 9 | 41.0 | 11.0 | 9.00 | 23.5 | 2.50 | 1.00 | 40.00% | 4.50 | 0.00 | 100.00% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 23.50 | 16.00 | 25.00 | 7.50 | 13.00 | 6.00 | 28.6% | 7.2% | 87.8% | 95.0 | Unlucky |
4 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3.00 | 2.00 | 1.00 | 3 | 0.750 | 3.0 | 4.5 | 7.5 | 0 | 0 | 0 | 3 | 3 | 0 | 36.0 | 14 | 30 | 28 | 0 | 34.0 | 7.0 | 12.00 | 24.5 | 4.00 | 1.00 | 25.00% | 5.50 | 1.00 | 81.82% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 24.50 | 17.00 | 23.50 | 7.50 | 12.50 | 6.00 | 66.7% | 8.3% | 94.1% | 102.5 | DULL |
5 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5.50 | 4.00 | 1.50 | 4 | 1.000 | 5.5 | 9.5 | 15.0 | 0 | 0 | 3 | 5 | 2 | 1 | 38.5 | 27 | 20 | 28 | 2 | 37.5 | 8.0 | 7.00 | 22.0 | 5.50 | 3.50 | 63.64% | 3.50 | 0.50 | 85.71% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 22.50 | 15.50 | 26.50 | 7.00 | 11.50 | 6.00 | 36.4% | 14.3% | 89.3% | 103.6 | FUN |
6 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 5.5 | 8.5 | 0 | 0 | 2 | 2 | 1 | 1 | 37.0 | 23 | 27 | 19 | 5 | 29.0 | 6.5 | 8.00 | 22.5 | 4.50 | 0.50 | 11.11% | 3.50 | 0.50 | 85.71% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 24.50 | 17.00 | 23.00 | 7.00 | 12.50 | 6.50 | 50.0% | 8.1% | 89.7% | 97.8 | Unlucky |
_Vs Division | 11 | 5 | 2 | 0 | 2 | 1 | 0 | 1 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 7.0 | 11.0 | 0 | 0 | 17 | 15 | 10 | 3 | 38.9 | 154 | 134 | 127 | 16 | 34.5 | 9.2 | 9.82 | 24.0 | 3.91 | 1.45 | 37.21% | 4.09 | 0.55 | 86.67% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 23.82 | 16.73 | 24.55 | 7.27 | 12.55 | 6.36 | 49.1% | 10.3% | 90.8% | 101.1 | FUN | |
_Vs Conference | 11 | 5 | 2 | 0 | 2 | 1 | 0 | 1 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 7.0 | 11.0 | 0 | 0 | 17 | 15 | 10 | 3 | 38.9 | 154 | 134 | 127 | 16 | 34.5 | 9.2 | 9.82 | 24.0 | 3.91 | 1.45 | 37.21% | 4.09 | 0.55 | 86.67% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 23.82 | 16.73 | 24.55 | 7.27 | 12.55 | 6.36 | 49.1% | 10.3% | 90.8% | 101.1 | FUN | |
_Since Last GM Reset | 11 | 5 | 2 | 0 | 2 | 1 | 0 | 1 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 7.0 | 11.0 | 0 | 0 | 17 | 15 | 10 | 3 | 38.9 | 154 | 134 | 127 | 16 | 34.5 | 9.2 | 9.82 | 24.0 | 3.91 | 1.45 | 37.21% | 4.09 | 0.55 | 86.67% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 23.82 | 16.73 | 24.55 | 7.27 | 12.55 | 6.36 | 49.1% | 10.3% | 90.8% | 101.1 | FUN | |
Total | 11 | 5 | 2 | 0 | 2 | 1 | 0 | 1 | 4.00 | 3.18 | 0.82 | 16 | 0.727 | 4.0 | 7.0 | 11.0 | 0 | 0 | 17 | 15 | 10 | 3 | 38.9 | 154 | 134 | 127 | 16 | 34.5 | 9.2 | 9.82 | 24.0 | 3.91 | 1.45 | 37.21% | 4.09 | 0.55 | 86.67% | 0 | 234 | 412 | 56.80% | 205 | 398 | 51.51% | 105 | 177 | 59.32% | 23.82 | 16.73 | 24.55 | 7.27 | 12.55 | 6.36 | 49.1% | 10.3% | 90.8% | 101.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 412 |
Neutral Zone Start | 177 |
Defensive Zone Start | 398 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 544 |
Faceoffs Lost | 443 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 14.0 | 9.57 |
2nd Period | 26.2 | 20.31 |
3rd Period | 37.7 | 30.68 |
Overtime | 39.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.9 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 4.1 | 2.83 |
Even Strenght Goal | 28 |
---|---|
PP Goal | 16 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 3 |
Lost | 0 | 2 |
Overtime Lost | 1 | 1 |
PP Attempt | 43 |
---|---|
PP Goal | 16 |
PK Attempt | 45 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 38.9 |
Shots Against | 34.5 |
Goals For | 4.0 |
Goals Against | 3.2 |
Hits | 24.0 |
Shots Blocked | 9.2 |
Pim | 9.8 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | ![]() | @ | ![]() | BIS2,MUS5 | RECAP | |||||||||
4 | ![]() | @ | ![]() | MUS5,DRA3 | RECAP | |||||||||
7 | ![]() | @ | ![]() | MUS5,REV3 | RECAP | |||||||||
10 | ![]() | @ | ![]() | DRA5,MUS6 (OT) | RECAP | |||||||||
14 | ![]() | @ | ![]() | HEL1,MUS3 | RECAP | |||||||||
16 | ![]() | @ | ![]() | MUS1,BIS2 (OT) | RECAP | |||||||||
19 | ![]() | @ | ![]() | TRA5,MUS4 (SO) | RECAP | |||||||||
21 | ![]() | @ | ![]() | MUS2,TRA5 | RECAP | |||||||||
23 | ![]() | @ | ![]() | BFT2,MUS3 (OT) | RECAP | |||||||||
24 | ![]() | @ | ![]() | MUS7,HEL3 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
26 | ![]() | @ | ![]() | MUS3,BFT4 | RECAP | |||||||||
31 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,192,341$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Mulheim | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 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 |
1 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,192,341$ | 79,192,341$ | 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$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 106,692,712$ | 106,692,712$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Jacob Battaglia | ![]() | 2024 | 56 | 0 | |
Jett Luchanko | ![]() | 2024 | 19 | 0 | |
Kevin Bicker | ![]() | 2023 | 160 | - | Link |
Norwin Panocha | ![]() | 2023 | 188 | - | Link |
Sam O'Reilly | ![]() | 2024 | 28 | 0 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Jacob Battaglia | ![]() | 2024 | 56 | 0 | |
Jett Luchanko | ![]() | 2024 | 19 | 0 | |
Kevin Bicker | ![]() | 2023 | 160 | - | Link |
Norwin Panocha | ![]() | 2023 | 188 | - | Link |
Sam O'Reilly | ![]() | 2024 | 28 | 0 |
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