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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Orlando Mounties 7-3-1, 15pts · 4th 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 | 82 | 83 | 81 | 90 | 98 | 99 | 79 | 91 | 95 | 62 | 66 | 71 | 75 | 93 | 75 | 86 | 27 | 9,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 86 | 54 | 81 | 84 | 65 | 87 | 99 | 92 | 99 | 87 | 81 | 78 | 61 | 75 | 77 | 84 | 75 | 83 | 30 | 5,500,000$/3yrs | |||
![]() | 48 | C/LW | 100.00 | 76 | 44 | 87 | 83 | 79 | 84 | 84 | 86 | 98 | 79 | 82 | 80 | 38 | 75 | 75 | 81 | 75 | 81 | 30 | 7,000,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 82 | 45 | 88 | 81 | 78 | 77 | 97 | 90 | 99 | 81 | 86 | 64 | 57 | 87 | 90 | 84 | 75 | 79 | 33 | 11,000,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 69 | 42 | 86 | 82 | 68 | 81 | 97 | 83 | 81 | 79 | 76 | 81 | 25 | 71 | 75 | 77 | 75 | 78 | 29 | 5,000,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 76 | 44 | 94 | 85 | 79 | 70 | 90 | 82 | 53 | 80 | 81 | 60 | 61 | 76 | 81 | 81 | 75 | 76 | 32 | 4,300,000$/1yrs | |||
![]() | 16 | LW | 100.00 | 79 | 74 | 68 | 76 | 70 | 66 | 91 | 78 | 37 | 71 | 72 | 66 | 41 | 76 | 79 | 72 | 75 | 70 | 32 | 2,900,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 43 | 92 | 76 | 65 | 67 | 66 | 66 | 46 | 59 | 71 | 83 | 59 | 66 | 67 | 66 | 75 | 70 | 31 | 2,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 42 | 91 | 80 | 69 | 63 | 73 | 67 | 40 | 63 | 70 | 76 | 72 | 92 | 98 | 67 | 75 | 68 | 39 | 1,100,000$/1yrs | |||
![]() | 0 | C | 100.00 | 95 | 89 | 79 | 77 | 83 | 63 | 92 | 63 | 76 | 72 | 62 | 75 | 25 | 60 | 60 | 66 | 75 | 68 | 24 | 1,599,999$/2yrs | |||
![]() | 26 | C/RW | 100.00 | 67 | 54 | 87 | 80 | 84 | 63 | 80 | 69 | 60 | 67 | 70 | 61 | 65 | 91 | 95 | 69 | 75 | 67 | 37 | 925,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 73 | 89 | 67 | 73 | 75 | 79 | 63 | 80 | 58 | 63 | 77 | 60 | 46 | 46 | 61 | 75 | 66 | 28 | 500,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 73 | 42 | 99 | 77 | 63 | 66 | 88 | 68 | 63 | 65 | 59 | 80 | 25 | 59 | 59 | 62 | 75 | 66 | 25 | 2,625,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 41 | 92 | 96 | 67 | 91 | 86 | 98 | 25 | 83 | 66 | 89 | 63 | 66 | 69 | 91 | 75 | 90 | 25 | 9,000,000$/4yrs | |||
![]() | 44 | D | 100.00 | 77 | 77 | 74 | 78 | 84 | 78 | 91 | 63 | 25 | 60 | 49 | 92 | 75 | 80 | 82 | 62 | 75 | 74 | 32 | 2,050,000$/1yrs | |||
![]() | 57 | D | 100.00 | 79 | 56 | 72 | 81 | 89 | 76 | 95 | 66 | 25 | 64 | 48 | 89 | 53 | 83 | 83 | 65 | 75 | 74 | 34 | 5,800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 92 | 82 | 71 | 82 | 93 | 69 | 25 | 69 | 60 | 77 | 25 | 58 | 59 | 69 | 75 | 73 | 22 | 863,333$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 42 | 90 | 83 | 77 | 80 | 93 | 63 | 25 | 51 | 48 | 87 | 80 | 75 | 78 | 58 | 75 | 70 | 29 | 4,025,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 44 | 88 | 80 | 71 | 70 | 73 | 64 | 25 | 50 | 48 | 87 | 75 | 76 | 76 | 58 | 75 | 69 | 33 | 2,150,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 70 | 64 | 83 | 68 | 64 | 75 | 80 | 64 | 64 | 60 | 64 | 70 | 60 | 58 | 58 | 62 | 75 | 65 | 32 | 450,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 75 | 53 | 86 | 80 | 74 | 75 | 87 | 75 | 56 | 69 | 68 | 77 | 54 | 72 | 74 | 71 | 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 | 75 | 68 | 66 | 75 | 77 | 74 | 69 | 74 | 77 | 75 | 68 | 54 | 55 | 82 | 75 | 78 | 27 | 1,950,000$/3yrs |
![]() | 0 | 100.00 | 64 | 69 | 68 | 70 | 65 | 63 | 70 | 65 | 69 | 64 | 75 | 59 | 60 | 74 | 75 | 72 | 28 | 1,500,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 69 | 67 | 73 | 71 | 69 | 70 | 70 | 73 | 70 | 72 | 57 | 58 | 78 | 75 | 75 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | John Salerno |
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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 | Mikko Rantanen | ![]() | 0 | C/LW/RW | 11 | 5 | 11 | 16 | 3 | 4 | 0 | 10 | 58 | 12 | 27 | 8.62% | 0 | 20.08 | 1 | 5 | 6 | 0 | 0 | 0 | 6 | 0 | 1 | 55.07% | 69 | 0 | 0 | 0 | 1 | 1.45 | 1 | 2 |
2 | Tomas Hertl | ![]() | 48 | C/LW | 11 | 5 | 9 | 14 | 3 | 4 | 0 | 12 | 36 | 15 | 37 | 13.89% | 3 | 22.28 | 1 | 4 | 5 | 0 | 0 | 0 | 33 | 2 | 0 | 58.50% | 294 | 0 | 0 | 0 | 0 | 1.14 | 0 | 1 |
3 | Cale Makar | ![]() | 0 | D | 11 | 3 | 11 | 14 | -2 | 4 | 0 | 13 | 30 | 9 | 14 | 10.00% | 15 | 24.74 | 2 | 4 | 6 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.03 | 0 | 0 |
4 | Vincent Trocheck | ![]() | 0 | C | 11 | 4 | 6 | 10 | -1 | 16 | 0 | 21 | 51 | 13 | 24 | 7.84% | 3 | 18.36 | 0 | 3 | 3 | 0 | 0 | 0 | 1 | 1 | 1 | 53.26% | 261 | 0 | 0 | 0 | 0 | 0.99 | 2 | 2 |
5 | J.T. Compher | ![]() | 0 | C/RW | 11 | 4 | 5 | 9 | 3 | 0 | 0 | 6 | 32 | 13 | 26 | 12.50% | 3 | 17.22 | 3 | 0 | 3 | 0 | 0 | 0 | 20 | 0 | 0 | 50.55% | 91 | 0 | 0 | 0 | 0 | 0.95 | 0 | 1 |
6 | Erik Gudbranson | ![]() | 44 | D | 11 | 2 | 6 | 8 | 0 | 33 | 5 | 33 | 15 | 5 | 8 | 13.33% | 19 | 23.14 | 2 | 1 | 3 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 |
7 | Tyler Myers | ![]() | 57 | D | 11 | 2 | 6 | 8 | 4 | 13 | 5 | 39 | 7 | 8 | 17 | 28.57% | 20 | 21.81 | 0 | 1 | 1 | 0 | 0 | 0 | 23 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 |
8 | John Tavares | ![]() | 0 | C/LW | 11 | 4 | 3 | 7 | -1 | 2 | 0 | 12 | 36 | 11 | 24 | 11.11% | 0 | 17.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 43.75% | 16 | 0 | 0 | 0 | 0 | 0.71 | 0 | 1 |
9 | Brett Pesce | ![]() | 0 | D | 11 | 0 | 7 | 7 | 2 | 4 | 0 | 3 | 5 | 3 | 4 | 0.00% | 21 | 17.92 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.71 | 0 | 1 |
10 | Thomas Harley | ![]() | 0 | D | 9 | 2 | 4 | 6 | 3 | 2 | 0 | 3 | 11 | 3 | 5 | 18.18% | 12 | 20.67 | 1 | 2 | 3 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 |
11 | Colin Blackwell | ![]() | 0 | C/LW/RW | 11 | 4 | 2 | 6 | 5 | 0 | 0 | 15 | 19 | 2 | 15 | 21.05% | 1 | 12.81 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 1 | 1 | 40.79% | 76 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 |
12 | Vladimir Tarasenko | ![]() | 0 | RW | 11 | 2 | 2 | 4 | 2 | 0 | 0 | 7 | 24 | 9 | 13 | 8.33% | 0 | 18.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 |
13 | Zach Parise | ![]() | 0 | LW/RW | 11 | 0 | 3 | 3 | 5 | 0 | 0 | 2 | 11 | 2 | 6 | 0.00% | 0 | 9.95 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 |
14 | Jack McBain | ![]() | 0 | C | 9 | 1 | 2 | 3 | 0 | 0 | 0 | 16 | 5 | 0 | 4 | 20.00% | 0 | 8.36 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 82 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 |
15 | Noah Cates | ![]() | 0 | LW | 11 | 2 | 1 | 3 | 0 | 0 | 0 | 1 | 8 | 3 | 9 | 25.00% | 1 | 8.79 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 |
16 | Blake Wheeler | ![]() | 26 | C/RW | 11 | 0 | 2 | 2 | 5 | 2 | 0 | 11 | 14 | 3 | 5 | 0.00% | 1 | 13.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61.90% | 21 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 |
17 | Calvin de Haan | ![]() | 0 | D | 11 | 1 | 1 | 2 | 3 | 6 | 0 | 24 | 5 | 6 | 2 | 20.00% | 12 | 14.11 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 |
18 | Jason Zucker | ![]() | 16 | LW | 11 | 1 | 0 | 1 | 1 | 4 | 0 | 12 | 9 | 3 | 5 | 11.11% | 0 | 8.83 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 |
19 | Marcus Sorensen | ![]() | 0 | LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 1 | 1 | 0.00% | 0 | 8.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
20 | Peter Cehlarik | ![]() | 0 | LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 4 | 0.00% | 1 | 8.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 42 | 81 | 123 | 35 | 94 | 10 | 243 | 379 | 122 | 250 | 11.08% | 112 | 16.50 | 10 | 20 | 30 | 390 | 0 | 0 | 0 | 238 | 6 | 3 | 52.92% | 943 | 0 | 0 | 0 | 1 | 0.75 | 3 | 8 |
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 | Connor Ingram | ![]() | 11 | 7 | 3 | 1 | 0.898 | 3.14 | 668 | 0 | 0 | 35 | 343 | 0 | 0 | 1 | 0.667 | 9 | 11 | 0 | 0 | 1 | 1 |
Team Total or Average | 11 | 7 | 3 | 1 | 0.898 | 3.14 | 668 | 0 | 0 | 35 | 343 | 0 | 0 | 1 | 0.667 | 9 | 11 | 0 | 0 | 1 | 1 |
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 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 3.50 | 0.50 | 2 | 0.500 | 4.0 | 7.0 | 11.0 | 1 | 0 | 0 | 5 | 3 | 0 | 31.5 | 19 | 24 | 20 | 0 | 26.5 | 10.5 | 6.00 | 25.5 | 5.00 | 1.00 | 20.00% | 3.00 | 0.00 | 100.00% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 24.50 | 16.50 | 22.00 | 7.00 | 13.00 | 7.00 | 46.2% | 12.7% | 86.8% | 99.5 | FUN |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 1.50 | 2.00 | 4 | 1.000 | 3.5 | 7.0 | 10.5 | 0 | 0 | 2 | 4 | 1 | 0 | 35.0 | 23 | 21 | 26 | 0 | 34.5 | 10.0 | 5.00 | 21.5 | 4.50 | 0.00 | 0.00% | 2.50 | 0.00 | 100.00% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 24.00 | 17.00 | 23.50 | 7.00 | 12.00 | 6.00 | 70.0% | 10.0% | 95.7% | 105.7 | LUCKY |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 3.50 | 0.50 | 2 | 0.500 | 4.0 | 7.5 | 11.5 | 0 | 0 | 4 | 3 | 1 | 0 | 34.0 | 25 | 22 | 21 | 0 | 24.5 | 11.0 | 18.00 | 22.5 | 6.00 | 2.00 | 33.33% | 4.00 | 2.50 | 37.50% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 24.50 | 16.50 | 22.00 | 7.00 | 13.00 | 6.50 | 66.7% | 11.8% | 85.7% | 97.5 | FUN |
4 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4.00 | 5.00 | -1.00 | 2 | 0.500 | 4.0 | 7.0 | 11.0 | 0 | 0 | 4 | 2 | 1 | 2 | 36.0 | 20 | 26 | 23 | 5 | 41.0 | 10.0 | 9.00 | 21.5 | 4.00 | 1.00 | 25.00% | 4.50 | 2.00 | 55.56% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 25.50 | 18.00 | 24.50 | 7.00 | 12.00 | 5.50 | 50.0% | 11.1% | 87.8% | 98.9 | FUN |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 2 | 0 | 2 | 0 | 32.0 | 17 | 7 | 8 | 0 | 33.0 | 7.0 | 4.00 | 26.0 | 3.00 | 0.00 | 0.00% | 2.00 | 1.00 | 50.00% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 25.00 | 19.00 | 24.00 | 7.00 | 10.00 | 5.00 | 80.0% | 12.5% | 93.9% | 106.4 | LUCKY |
6 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.00 | 4.00 | 0.00 | 3 | 0.750 | 4.0 | 8.0 | 12.0 | 0 | 0 | 3 | 1 | 4 | 1 | 37.0 | 12 | 19 | 37 | 12 | 29.0 | 11.0 | 7.00 | 17.5 | 3.00 | 1.00 | 33.33% | 3.50 | 0.50 | 85.71% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 27.00 | 20.00 | 22.00 | 7.00 | 12.50 | 6.00 | 46.2% | 10.8% | 86.2% | 97.0 | FUN |
_Vs Division | 11 | 6 | 3 | 0 | 0 | 0 | 1 | 1 | 3.91 | 3.36 | 0.55 | 15 | 0.682 | 3.9 | 7.4 | 11.3 | 1 | 0 | 15 | 15 | 12 | 3 | 34.5 | 116 | 119 | 135 | 17 | 31.3 | 10.2 | 8.55 | 22.1 | 4.36 | 0.91 | 20.83% | 3.36 | 1.00 | 70.27% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 25.18 | 17.91 | 23.09 | 7.27 | 12.55 | 6.36 | 55.9% | 11.3% | 89.2% | 100.6 | FUN | |
_Vs Conference | 11 | 6 | 3 | 0 | 0 | 0 | 1 | 1 | 3.91 | 3.36 | 0.55 | 15 | 0.682 | 3.9 | 7.4 | 11.3 | 1 | 0 | 15 | 15 | 12 | 3 | 34.5 | 116 | 119 | 135 | 17 | 31.3 | 10.2 | 8.55 | 22.1 | 4.36 | 0.91 | 20.83% | 3.36 | 1.00 | 70.27% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 25.18 | 17.91 | 23.09 | 7.27 | 12.55 | 6.36 | 55.9% | 11.3% | 89.2% | 100.6 | FUN | |
_Since Last GM Reset | 11 | 6 | 3 | 0 | 0 | 0 | 1 | 1 | 3.91 | 3.36 | 0.55 | 15 | 0.682 | 3.9 | 7.4 | 11.3 | 1 | 0 | 15 | 15 | 12 | 3 | 34.5 | 116 | 119 | 135 | 17 | 31.3 | 10.2 | 8.55 | 22.1 | 4.36 | 0.91 | 20.83% | 3.36 | 1.00 | 70.27% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 25.18 | 17.91 | 23.09 | 7.27 | 12.55 | 6.36 | 55.9% | 11.3% | 89.2% | 100.6 | FUN | |
Total | 11 | 6 | 3 | 0 | 0 | 0 | 1 | 1 | 3.91 | 3.36 | 0.55 | 15 | 0.682 | 3.9 | 7.4 | 11.3 | 1 | 0 | 15 | 15 | 12 | 3 | 34.5 | 116 | 119 | 135 | 17 | 31.3 | 10.2 | 8.55 | 22.1 | 4.36 | 0.91 | 20.83% | 3.36 | 1.00 | 70.27% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 25.18 | 17.91 | 23.09 | 7.27 | 12.55 | 6.36 | 55.9% | 11.3% | 89.2% | 100.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 387 |
Neutral Zone Start | 169 |
Defensive Zone Start | 372 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 499 |
Faceoffs Lost | 429 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 33.6 | 30.68 |
Overtime | 35.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.7 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 4.1 | 2.83 |
Even Strenght Goal | 32 |
---|---|
PP Goal | 10 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 3 |
Lost | 0 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 48 |
---|---|
PP Goal | 10 |
PK Attempt | 37 |
PK Goal Against | 11 |
Home | |
---|---|
Shots For | 34.5 |
Shots Against | 31.3 |
Goals For | 3.9 |
Goals Against | 3.4 |
Hits | 22.1 |
Shots Blocked | 10.2 |
Pim | 8.5 |
![]() | |
Total Salaries | 81,488,332$ |
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) | 55 |
Goalies Signed (min. 6) | 7 |
Defensemen Signed (min. 16) | 19 |
LTIR Players | 0 |
Mounties Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Nedeljkovic | G | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Blake Wheeler | C/RW | 37 | 925,000$ | 925,000$ | 925,000$ | UFA | ||||||
Brett Pesce | D | 29 | 4,025,000$ | 4,025,000$ | 4,025,000$ | UFA | ||||||
Cale Makar | D | 25 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |||
Calvin de Haan | D | 33 | 2,150,000$ | 2,150,000$ | 2,150,000$ | UFA | ||||||
Colin Blackwell | C/LW/RW | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Connor Ingram | G | 27 | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | UFA | ||||
Erik Gudbranson | D | 32 | 2,050,000$ | 2,050,000$ | 2,050,000$ | UFA | ||||||
J.T. Compher | C/RW | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Jack McBain | C | 24 | 1,599,999$ | 1,599,999$ | 1,599,999$ | 1,599,999$ | RFA | |||||
Jason Zucker | LW | 32 | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | ||||||
John Tavares | C/LW | 33 | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | UFA | |||||
Marcus Sorensen | LW/RW | 32 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Mikko Rantanen | C/LW/RW | 27 | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | UFA | |||||
Noah Cates | LW | 25 | 2,625,000$ | 2,625,000$ | 2,625,000$ | 2,625,000$ | RFA | |||||
Peter Cehlarik | LW/RW | 28 | 500,000$ | 500,000$ | 500,000$ | 500,000$ | UFA | |||||
Thomas Harley | D | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | ||||||
Tomas Hertl | C/LW | 30 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Tyler Myers | D | 34 | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | ||||||
Vincent Trocheck | C | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Vladimir Tarasenko | RW | 32 | 4,300,000$ | 4,300,000$ | 4,300,000$ | UFA | ||||||
Zach Parise | LW/RW | 39 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
A.J. Greer | LW | 27 | 762,500$ | 76,250$ | 76,250$ | UFA | ||||||
Adam Gaudette | C | 27 | 775,000$ | 77,500$ | 77,500$ | UFA | ||||||
Adam Huska | G | 27 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | UFA | |||||
Aleksi Heimosalmi | D | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Alexander Alexeyev | D | 24 | 825,000$ | 82,500$ | 82,500$ | 82,500$ | RFA | |||||
Ben King | C/RW | 22 | 0$ | 0$ | RFA | |||||||
Cal Thomas | D | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Carter Berger | D | 24 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Cross Hanas | C/LW/RW | 22 | 859,167$ | 85,917$ | 85,917$ | 85,917$ | RFA | |||||
Jakub Brabenec | C/LW | 20 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Jesper Wallstedt | G | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Jonah Gadjovich | LW | 25 | 810,000$ | 81,000$ | 81,000$ | RFA | ||||||
Keean Washkurak | C | 22 | 862,500$ | 86,250$ | 86,250$ | RFA | ||||||
Kevin Korchinski | D | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Logan Brown | C | 26 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Logan Stanley | D | 26 | 1,000,000$ | 100,000$ | 100,000$ | RFA | ||||||
Markus Nurmi | LW/RW | 26 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Mattias Havelid | D | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Maxime Lajoie | D | 26 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Nate Clurman | D | 26 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Nick Malik | G | 22 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Nicolas Petan | C/LW/RW | 29 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Nolan Allan | D | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Olle Lycksell | C/LW/RW | 24 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Patrik Puistola | LW/RW | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
Robin Salo | D | 25 | 800,000$ | 80,000$ | 80,000$ | RFA | ||||||
Samuel Savoie | C/LW | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Trevor Murphy | D | 28 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Vinzenz Rohrer | C/RW | 19 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Vyacheslav Buteyets | G | 22 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Wade Allison | RW | 26 | 785,000$ | 78,500$ | 78,500$ | RFA | ||||||
William Trudeau | D | 21 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Yaroslav Askarov | G | 22 | 925,000$ | 92,500$ | 92,500$ | 92,500$ | 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 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 3.50 | 0.50 | 2 | 0.500 | 4.0 | 7.0 | 11.0 | 1 | 0 | 0 | 5 | 3 | 0 | 31.5 | 19 | 24 | 20 | 0 | 26.5 | 10.5 | 6.00 | 25.5 | 5.00 | 1.00 | 20.00% | 3.00 | 0.00 | 100.00% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 24.50 | 16.50 | 22.00 | 7.00 | 13.00 | 7.00 | 46.2% | 12.7% | 86.8% | 99.5 | FUN |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 1.50 | 2.00 | 4 | 1.000 | 3.5 | 7.0 | 10.5 | 0 | 0 | 2 | 4 | 1 | 0 | 35.0 | 23 | 21 | 26 | 0 | 34.5 | 10.0 | 5.00 | 21.5 | 4.50 | 0.00 | 0.00% | 2.50 | 0.00 | 100.00% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 24.00 | 17.00 | 23.50 | 7.00 | 12.00 | 6.00 | 70.0% | 10.0% | 95.7% | 105.7 | LUCKY |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 3.50 | 0.50 | 2 | 0.500 | 4.0 | 7.5 | 11.5 | 0 | 0 | 4 | 3 | 1 | 0 | 34.0 | 25 | 22 | 21 | 0 | 24.5 | 11.0 | 18.00 | 22.5 | 6.00 | 2.00 | 33.33% | 4.00 | 2.50 | 37.50% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 24.50 | 16.50 | 22.00 | 7.00 | 13.00 | 6.50 | 66.7% | 11.8% | 85.7% | 97.5 | FUN |
4 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4.00 | 5.00 | -1.00 | 2 | 0.500 | 4.0 | 7.0 | 11.0 | 0 | 0 | 4 | 2 | 1 | 2 | 36.0 | 20 | 26 | 23 | 5 | 41.0 | 10.0 | 9.00 | 21.5 | 4.00 | 1.00 | 25.00% | 4.50 | 2.00 | 55.56% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 25.50 | 18.00 | 24.50 | 7.00 | 12.00 | 5.50 | 50.0% | 11.1% | 87.8% | 98.9 | FUN |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 2 | 0 | 2 | 0 | 32.0 | 17 | 7 | 8 | 0 | 33.0 | 7.0 | 4.00 | 26.0 | 3.00 | 0.00 | 0.00% | 2.00 | 1.00 | 50.00% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 25.00 | 19.00 | 24.00 | 7.00 | 10.00 | 5.00 | 80.0% | 12.5% | 93.9% | 106.4 | LUCKY |
6 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4.00 | 4.00 | 0.00 | 3 | 0.750 | 4.0 | 8.0 | 12.0 | 0 | 0 | 3 | 1 | 4 | 1 | 37.0 | 12 | 19 | 37 | 12 | 29.0 | 11.0 | 7.00 | 17.5 | 3.00 | 1.00 | 33.33% | 3.50 | 0.50 | 85.71% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 27.00 | 20.00 | 22.00 | 7.00 | 12.50 | 6.00 | 46.2% | 10.8% | 86.2% | 97.0 | FUN |
_Vs Division | 11 | 6 | 3 | 0 | 0 | 0 | 1 | 1 | 3.91 | 3.36 | 0.55 | 15 | 0.682 | 3.9 | 7.4 | 11.3 | 1 | 0 | 15 | 15 | 12 | 3 | 34.5 | 116 | 119 | 135 | 17 | 31.3 | 10.2 | 8.55 | 22.1 | 4.36 | 0.91 | 20.83% | 3.36 | 1.00 | 70.27% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 25.18 | 17.91 | 23.09 | 7.27 | 12.55 | 6.36 | 55.9% | 11.3% | 89.2% | 100.6 | FUN | |
_Vs Conference | 11 | 6 | 3 | 0 | 0 | 0 | 1 | 1 | 3.91 | 3.36 | 0.55 | 15 | 0.682 | 3.9 | 7.4 | 11.3 | 1 | 0 | 15 | 15 | 12 | 3 | 34.5 | 116 | 119 | 135 | 17 | 31.3 | 10.2 | 8.55 | 22.1 | 4.36 | 0.91 | 20.83% | 3.36 | 1.00 | 70.27% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 25.18 | 17.91 | 23.09 | 7.27 | 12.55 | 6.36 | 55.9% | 11.3% | 89.2% | 100.6 | FUN | |
_Since Last GM Reset | 11 | 6 | 3 | 0 | 0 | 0 | 1 | 1 | 3.91 | 3.36 | 0.55 | 15 | 0.682 | 3.9 | 7.4 | 11.3 | 1 | 0 | 15 | 15 | 12 | 3 | 34.5 | 116 | 119 | 135 | 17 | 31.3 | 10.2 | 8.55 | 22.1 | 4.36 | 0.91 | 20.83% | 3.36 | 1.00 | 70.27% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 25.18 | 17.91 | 23.09 | 7.27 | 12.55 | 6.36 | 55.9% | 11.3% | 89.2% | 100.6 | FUN | |
Total | 11 | 6 | 3 | 0 | 0 | 0 | 1 | 1 | 3.91 | 3.36 | 0.55 | 15 | 0.682 | 3.9 | 7.4 | 11.3 | 1 | 0 | 15 | 15 | 12 | 3 | 34.5 | 116 | 119 | 135 | 17 | 31.3 | 10.2 | 8.55 | 22.1 | 4.36 | 0.91 | 20.83% | 3.36 | 1.00 | 70.27% | 0 | 217 | 387 | 56.07% | 185 | 372 | 49.73% | 97 | 169 | 57.40% | 25.18 | 17.91 | 23.09 | 7.27 | 12.55 | 6.36 | 55.9% | 11.3% | 89.2% | 100.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 387 |
Neutral Zone Start | 169 |
Defensive Zone Start | 372 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 499 |
Faceoffs Lost | 429 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 33.6 | 30.68 |
Overtime | 35.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.7 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 4.1 | 2.83 |
Even Strenght Goal | 32 |
---|---|
PP Goal | 10 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 3 |
Lost | 0 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 48 |
---|---|
PP Goal | 10 |
PK Attempt | 37 |
PK Goal Against | 11 |
Home | |
---|---|
Shots For | 34.5 |
Shots Against | 31.3 |
Goals For | 3.9 |
Goals Against | 3.4 |
Hits | 22.1 |
Shots Blocked | 10.2 |
Pim | 8.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | @ | ![]() | MOU4,GWS1 | RECAP | |||||||||
2 | ![]() | @ | ![]() | MOU4,CRU2 | RECAP | |||||||||
5 | ![]() | @ | ![]() | MOU5,RIN4 | RECAP | |||||||||
6 | ![]() | @ | ![]() | LYN2,MOU5 | RECAP | |||||||||
9 | ![]() | @ | ![]() | MOU3,LYN5 | RECAP | |||||||||
11 | ![]() | @ | ![]() | GWS2,MOU3 | RECAP | |||||||||
15 | ![]() | @ | ![]() | MOU4,SLA7 | RECAP | |||||||||
16 | ![]() | @ | ![]() | JAG4,MOU6 | RECAP | |||||||||
18 | ![]() | @ | ![]() | MOU2,JAG3 | RECAP | |||||||||
22 | ![]() | @ | ![]() | SLA3,MOU4 (SO) | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
26 | ![]() | @ | ![]() | RIN4,MOU3 (SO) | RECAP | |||||||||
30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,488,332$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Rougeau Center | |
City | Orlando | ||
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 |
81,488,332$ | 81,488,332$ | 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$ | 11,861,553$ | 11,861,553$ |
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 |
---|---|---|---|---|---|
Andrew Gibson | ![]() | 2023 | 50 | - | Link |
Danny Nelson | ![]() | 2023 | 66 | - | Link |
Igor Chernyshov | ![]() | 2024 | 25 | 0 | |
John Mustard | ![]() | 2024 | 52 | 0 | |
Jonathan Morello | ![]() | 2024 | 164 | 0 | |
Michael Hrabal | ![]() | 2023 | 45 | - | Link |
Nate Danielson | ![]() | 2023 | 11 | - | Link |
Olof Glifford | ![]() | 2023 | 178 | - | Link |
Tarin Smith | ![]() | 2024 | 73 | 0 | |
Theo Lindstein | ![]() | 2023 | 38 | - | Link |
Ty Mueller | ![]() | 2023 | 122 | - | Link |
Zachary Nehring | ![]() | 2023 | 94 | - | Link |
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 |
---|---|---|---|---|---|
Andrew Gibson | ![]() | 2023 | 50 | - | Link |
Danny Nelson | ![]() | 2023 | 66 | - | Link |
Igor Chernyshov | ![]() | 2024 | 25 | 0 | |
John Mustard | ![]() | 2024 | 52 | 0 | |
Jonathan Morello | ![]() | 2024 | 164 | 0 | |
Michael Hrabal | ![]() | 2023 | 45 | - | Link |
Nate Danielson | ![]() | 2023 | 11 | - | Link |
Olof Glifford | ![]() | 2023 | 178 | - | Link |
Tarin Smith | ![]() | 2024 | 73 | 0 | |
Theo Lindstein | ![]() | 2023 | 38 | - | Link |
Ty Mueller | ![]() | 2023 | 122 | - | Link |
Zachary Nehring | ![]() | 2023 | 94 | - | Link |
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