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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Minnesota Slapshots 5-4-2, 12pts · 9th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 43 | RW | 100.00 | 79 | 45 | 87 | 91 | 78 | 87 | 71 | 97 | 33 | 81 | 95 | 75 | 75 | 70 | 73 | 89 | 75 | 86 | 29 | 6,125,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 59 | 41 | 83 | 85 | 68 | 85 | 95 | 88 | 94 | 90 | 83 | 80 | 48 | 68 | 71 | 86 | 75 | 85 | 24 | 8,125,000$/8yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 42 | 82 | 85 | 74 | 83 | 89 | 89 | 46 | 81 | 85 | 76 | 70 | 70 | 71 | 83 | 75 | 82 | 29 | 5,800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 41 | 91 | 80 | 75 | 70 | 94 | 76 | 38 | 65 | 83 | 68 | 35 | 82 | 87 | 75 | 75 | 73 | 31 | 5,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 63 | 42 | 85 | 87 | 73 | 76 | 89 | 80 | 80 | 70 | 64 | 71 | 84 | 78 | 82 | 67 | 75 | 69 | 32 | 6,800,000$/3yrs | |||
![]() | 0 | C | 100.00 | 71 | 43 | 97 | 78 | 76 | 68 | 82 | 66 | 84 | 67 | 66 | 81 | 25 | 63 | 63 | 66 | 75 | 69 | 25 | 1,400,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 63 | 41 | 90 | 80 | 68 | 65 | 84 | 76 | 37 | 65 | 68 | 67 | 36 | 76 | 77 | 67 | 75 | 67 | 34 | 2,250,000$/1yrs | |||
![]() | 67 | LW | 100.00 | 81 | 57 | 84 | 80 | 80 | 67 | 50 | 79 | 34 | 79 | 59 | 59 | 52 | 81 | 85 | 68 | 75 | 66 | 35 | 4,100,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 82 | 91 | 65 | 75 | 72 | 61 | 89 | 68 | 39 | 63 | 66 | 66 | 25 | 59 | 60 | 65 | 75 | 65 | 27 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 77 | 44 | 84 | 80 | 74 | 64 | 80 | 64 | 62 | 62 | 60 | 78 | 25 | 67 | 69 | 61 | 75 | 65 | 26 | 1,900,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 52 | 91 | 76 | 68 | 62 | 95 | 78 | 37 | 55 | 68 | 61 | 25 | 67 | 67 | 62 | 75 | 62 | 28 | 2,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 68 | 91 | 63 | 68 | 63 | 65 | 58 | 57 | 53 | 60 | 48 | 57 | 45 | 45 | 57 | 75 | 56 | 27 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 45 | 84 | 80 | 74 | 81 | 99 | 63 | 25 | 59 | 48 | 91 | 75 | 68 | 69 | 61 | 75 | 74 | 29 | 3,150,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 44 | 91 | 77 | 69 | 81 | 93 | 63 | 25 | 56 | 48 | 87 | 25 | 65 | 66 | 60 | 75 | 72 | 25 | 4,400,000$/5yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 90 | 67 | 76 | 70 | 72 | 62 | 25 | 51 | 48 | 78 | 25 | 47 | 47 | 57 | 75 | 66 | 24 | 883,750$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 75 | 85 | 66 | 76 | 73 | 79 | 55 | 25 | 46 | 49 | 72 | 47 | 46 | 46 | 60 | 75 | 66 | 27 | 650,000$/2yrs | |||
![]() | 9 | D | 100.00 | 79 | 44 | 86 | 82 | 73 | 72 | 91 | 64 | 25 | 58 | 49 | 71 | 25 | 79 | 83 | 61 | 75 | 66 | 32 | 3,900,000$/2yrs | |||
![]() | 0 | D | 100.00 | 83 | 46 | 91 | 82 | 83 | 70 | 70 | 66 | 25 | 49 | 48 | 76 | 75 | 75 | 75 | 58 | 75 | 66 | 29 | 5,900,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 50 | 87 | 79 | 74 | 72 | 83 | 72 | 44 | 64 | 64 | 73 | 46 | 67 | 69 | 67 | 75 | 70 |
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 | 74 | 60 | 60 | 77 | 80 | 67 | 75 | 75 | 79 | 74 | 95 | 59 | 59 | 82 | 75 | 76 | 32 | 762,500$/3yrs |
![]() | 0 | 100.00 | 65 | 79 | 78 | 82 | 65 | 64 | 69 | 64 | 65 | 65 | 61 | 71 | 71 | 75 | 75 | 76 | 30 | 3,600,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 62 | 72 | 70 | 68 | 65 | 58 | 69 | 65 | 65 | 62 | 95 | 60 | 61 | 73 | 75 | 72 | 28 | 5,300,000$/4yrs |
TEAM AVERAGE | 100.00 | 67 | 70 | 69 | 76 | 70 | 63 | 71 | 68 | 70 | 67 | 84 | 63 | 64 | 77 | 75 | 75 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | UHL (Bruce) |
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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 | Pavel Buchnevich | ![]() | 0 | LW/RW | 11 | 7 | 11 | 18 | 10 | 2 | 0 | 11 | 62 | 17 | 43 | 11.29% | 6 | 25.01 | 2 | 2 | 4 | 0 | 0 | 0 | 40 | 1 | 1 | 32.03% | 128 | 0 | 0 | 0 | 1 | 1.31 | 0 | 1 |
2 | Robert Thomas | ![]() | 0 | C/RW | 11 | 7 | 10 | 17 | 11 | 0 | 0 | 9 | 42 | 14 | 28 | 16.67% | 3 | 20.60 | 2 | 4 | 6 | 0 | 1 | 1 | 20 | 0 | 1 | 54.58% | 295 | 0 | 0 | 0 | 0 | 1.50 | 0 | 1 |
3 | Valeri Nichushkin | ![]() | 43 | RW | 11 | 7 | 7 | 14 | 11 | 6 | 0 | 30 | 68 | 11 | 51 | 10.29% | 3 | 21.37 | 2 | 3 | 5 | 1 | 0 | 1 | 22 | 1 | 0 | 26.67% | 15 | 0 | 0 | 0 | 1 | 1.19 | 0 | 0 |
4 | Matt Roy | ![]() | 0 | D | 11 | 3 | 7 | 10 | 6 | 10 | 0 | 28 | 17 | 5 | 11 | 17.65% | 23 | 24.50 | 1 | 0 | 1 | 0 | 1 | 1 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 |
5 | Yevgeni Kuznetsov | ![]() | 0 | C/RW | 11 | 1 | 6 | 7 | -2 | 13 | 5 | 14 | 27 | 10 | 17 | 3.70% | 1 | 16.72 | 0 | 2 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 51.29% | 232 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 |
6 | Brandon Saad | ![]() | 0 | LW/RW | 11 | 4 | 2 | 6 | -2 | 2 | 0 | 12 | 37 | 6 | 26 | 10.81% | 2 | 20.32 | 1 | 1 | 2 | 0 | 0 | 0 | 44 | 0 | 0 | 26.09% | 23 | 0 | 0 | 0 | 0 | 0.54 | 1 | 1 |
7 | Mike Hoffman | ![]() | 0 | C/LW | 11 | 2 | 3 | 5 | -4 | 6 | 0 | 11 | 21 | 7 | 15 | 9.52% | 1 | 14.74 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 |
8 | Rasmus Ristolainen | ![]() | 0 | D | 11 | 2 | 3 | 5 | 6 | 4 | 0 | 16 | 15 | 1 | 6 | 13.33% | 19 | 23.99 | 0 | 1 | 1 | 0 | 0 | 0 | 34 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 |
9 | Mikey Anderson | ![]() | 0 | D | 11 | 2 | 3 | 5 | -1 | 19 | 5 | 12 | 20 | 3 | 16 | 10.00% | 20 | 19.37 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
10 | Dmitri Orlov | ![]() | 9 | D | 11 | 0 | 4 | 4 | -2 | 10 | 0 | 18 | 6 | 2 | 4 | 0.00% | 11 | 15.65 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 |
11 | Ryan Poehling | ![]() | 0 | C | 11 | 1 | 3 | 4 | -2 | 0 | 0 | 4 | 11 | 4 | 7 | 9.09% | 5 | 7.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 52.83% | 106 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 |
12 | Gabriel Carlsson | ![]() | 0 | D | 11 | 0 | 3 | 3 | -2 | 14 | 10 | 17 | 1 | 1 | 3 | 0.00% | 12 | 19.74 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 |
13 | Dominik Kubalik | ![]() | 0 | LW/RW | 11 | 0 | 2 | 2 | -4 | 4 | 0 | 8 | 9 | 7 | 8 | 0.00% | 6 | 17.91 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 |
14 | Max Pacioretty | ![]() | 67 | LW | 11 | 0 | 2 | 2 | -4 | 2 | 0 | 7 | 15 | 5 | 17 | 0.00% | 1 | 12.94 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 38.03% | 142 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 |
15 | Brett Howden | ![]() | 0 | C | 11 | 2 | 0 | 2 | -4 | 6 | 0 | 5 | 11 | 3 | 3 | 18.18% | 3 | 11.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 62.50% | 8 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 |
16 | Michael Eyssimont | ![]() | 0 | C/LW | 11 | 0 | 1 | 1 | -4 | 4 | 0 | 16 | 9 | 2 | 10 | 0.00% | 1 | 11.20 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 38.46% | 13 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 |
17 | Anders Bjork | ![]() | 0 | LW/RW | 11 | 0 | 0 | 0 | -2 | 8 | 0 | 8 | 2 | 0 | 1 | 0.00% | 0 | 7.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Matt Kessel | ![]() | 0 | D | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 0 | 0 | 0.00% | 5 | 4.64 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 38 | 67 | 105 | 11 | 110 | 20 | 231 | 375 | 98 | 266 | 10.13% | 122 | 16.36 | 9 | 15 | 24 | 259 | 1 | 2 | 3 | 289 | 5 | 4 | 47.01% | 985 | 0 | 0 | 0 | 2 | 0.65 | 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 | John Gibson | ![]() | 11 | 5 | 4 | 2 | 0.902 | 3.73 | 643 | 0 | 0 | 40 | 409 | 0 | 0 | 0 | 0.000 | 2 | 11 | 0 | 0 | 1 | 0 |
2 | Calvin Pickard | ![]() | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 21 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Team Total or Average | 12 | 5 | 4 | 2 | 0.906 | 3.61 | 665 | 0 | 0 | 40 | 426 | 0 | 0 | 0 | 0.000 | 2 | 11 | 11 | 0 | 1 | 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 | 6.00 | 4.00 | 2.00 | 2 | 1.000 | 6.0 | 10.0 | 16.0 | 0 | 0 | 4 | 0 | 2 | 0 | 40.0 | 15 | 10 | 15 | 0 | 54.0 | 14.0 | 12.00 | 25.0 | 1.00 | 1.00 | 100.00% | 6.00 | 2.00 | 66.67% | 1 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 20.00 | 13.00 | 25.00 | 7.00 | 13.00 | 6.00 | 71.4% | 15.0% | 92.6% | 107.6 | LUCKY |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5.00 | 4.00 | 1.00 | 3 | 0.750 | 5.0 | 9.0 | 14.0 | 0 | 0 | 1 | 5 | 4 | 1 | 41.0 | 15 | 40 | 25 | 5 | 36.0 | 9.5 | 8.00 | 19.0 | 4.50 | 2.00 | 44.44% | 4.00 | 1.00 | 75.00% | 0 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 24.50 | 17.00 | 25.50 | 7.00 | 12.00 | 6.00 | 50.0% | 12.2% | 88.9% | 101.1 | FUN |
3 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.50 | 5.00 | -2.50 | 1 | 0.250 | 2.5 | 5.0 | 7.5 | 0 | 0 | 1 | 3 | 1 | 0 | 28.5 | 18 | 18 | 21 | 0 | 43.0 | 13.5 | 14.50 | 26.0 | 3.00 | 0.50 | 16.67% | 2.50 | 1.50 | 40.00% | 0 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 23.00 | 16.00 | 24.50 | 7.00 | 12.00 | 6.00 | 36.4% | 8.8% | 88.4% | 97.1 | Unlucky |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 4.00 | -1.00 | 2 | 0.500 | 3.0 | 6.0 | 9.0 | 0 | 0 | 2 | 1 | 3 | 0 | 35.0 | 17 | 24 | 29 | 0 | 35.0 | 9.5 | 10.50 | 16.0 | 5.00 | 1.00 | 20.00% | 4.00 | 1.00 | 75.00% | 0 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 24.50 | 17.00 | 23.00 | 6.50 | 12.00 | 6.00 | 40.0% | 8.6% | 88.6% | 97.1 | Unlucky |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 4.0 | 6.5 | 0 | 0 | 3 | 2 | 0 | 0 | 29.5 | 22 | 16 | 21 | 0 | 41.5 | 10.0 | 11.00 | 23.5 | 0.50 | 0.00 | 0.00% | 5.50 | 0.50 | 90.91% | 0 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 21.00 | 15.00 | 26.50 | 7.50 | 12.00 | 5.50 | 55.6% | 8.5% | 94.0% | 102.5 | DULL |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 4.5 | 7.5 | 0 | 0 | 1 | 2 | 3 | 0 | 33.5 | 19 | 24 | 24 | 0 | 30.5 | 11.5 | 5.00 | 18.5 | 3.00 | 0.50 | 16.67% | 2.50 | 1.50 | 40.00% | 0 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 25.00 | 17.50 | 22.00 | 6.50 | 12.00 | 6.50 | 62.5% | 9.0% | 90.2% | 99.1 | FUN |
_Vs Division | 11 | 5 | 4 | 0 | 0 | 1 | 0 | 1 | 3.45 | 3.73 | -0.27 | 12 | 0.545 | 3.5 | 6.1 | 9.5 | 0 | 0 | 12 | 13 | 13 | 1 | 34.1 | 106 | 132 | 135 | 5 | 38.7 | 11.1 | 10.00 | 21.0 | 3.00 | 0.82 | 27.27% | 3.91 | 1.18 | 69.77% | 1 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 23.55 | 16.45 | 24.55 | 7.00 | 12.36 | 6.09 | 50.9% | 10.1% | 90.4% | 100.5 | FUN | |
_Vs Conference | 11 | 5 | 4 | 0 | 0 | 1 | 0 | 1 | 3.45 | 3.73 | -0.27 | 12 | 0.545 | 3.5 | 6.1 | 9.5 | 0 | 0 | 12 | 13 | 13 | 1 | 34.1 | 106 | 132 | 135 | 5 | 38.7 | 11.1 | 10.00 | 21.0 | 3.00 | 0.82 | 27.27% | 3.91 | 1.18 | 69.77% | 1 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 23.55 | 16.45 | 24.55 | 7.00 | 12.36 | 6.09 | 50.9% | 10.1% | 90.4% | 100.5 | FUN | |
_Since Last GM Reset | 11 | 5 | 4 | 0 | 0 | 1 | 0 | 1 | 3.45 | 3.73 | -0.27 | 12 | 0.545 | 3.5 | 6.1 | 9.5 | 0 | 0 | 12 | 13 | 13 | 1 | 34.1 | 106 | 132 | 135 | 5 | 38.7 | 11.1 | 10.00 | 21.0 | 3.00 | 0.82 | 27.27% | 3.91 | 1.18 | 69.77% | 1 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 23.55 | 16.45 | 24.55 | 7.00 | 12.36 | 6.09 | 50.9% | 10.1% | 90.4% | 100.5 | FUN | |
Total | 11 | 5 | 4 | 0 | 0 | 1 | 0 | 1 | 3.45 | 3.73 | -0.27 | 12 | 0.545 | 3.5 | 6.1 | 9.5 | 0 | 0 | 12 | 13 | 13 | 1 | 34.1 | 106 | 132 | 135 | 5 | 38.7 | 11.1 | 10.00 | 21.0 | 3.00 | 0.82 | 27.27% | 3.91 | 1.18 | 69.77% | 1 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 23.55 | 16.45 | 24.55 | 7.00 | 12.36 | 6.09 | 50.9% | 10.1% | 90.4% | 100.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 384 |
Neutral Zone Start | 190 |
Defensive Zone Start | 404 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 463 |
Faceoffs Lost | 515 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.6 | 9.57 |
2nd Period | 21.6 | 20.31 |
3rd Period | 33.9 | 30.68 |
Overtime | 34.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 28 |
---|---|
PP Goal | 9 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 3 |
Lost | 2 | 2 |
Overtime Lost | 1 | 1 |
PP Attempt | 33 |
---|---|
PP Goal | 9 |
PK Attempt | 43 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 34.1 |
Shots Against | 38.7 |
Goals For | 3.5 |
Goals Against | 3.7 |
Hits | 21.0 |
Shots Blocked | 11.1 |
Pim | 10.0 |
![]() | |
Total Salaries | 76,896,250$ |
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) | 46 |
Goalies Signed (min. 6) | 7 |
Defensemen Signed (min. 16) | 14 |
LTIR Players | 0 |
Slapshots Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Anders Bjork | LW/RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | ||||||
Brandon Saad | LW/RW | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||||
Brett Howden | C | 26 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | UFA | |||||
Calvin Pickard | G | 32 | 762,500$ | 762,500$ | 762,500$ | 762,500$ | 762,500$ | UFA | ||||
Dmitri Orlov | D | 32 | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | UFA | |||||
Dominik Kubalik | LW/RW | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||||
Gabriel Carlsson | D | 27 | 650,000$ | 650,000$ | 650,000$ | 650,000$ | UFA | |||||
John Gibson | G | 30 | 3,600,000$ | 3,600,000$ | 3,600,000$ | 3,600,000$ | UFA | |||||
Matt Kessel | D | 24 | 883,750$ | 883,750$ | 883,750$ | RFA | ||||||
Matt Roy | D | 29 | 3,150,000$ | 3,150,000$ | 3,150,000$ | UFA | ||||||
Max Pacioretty | LW | 35 | 4,100,000$ | 4,100,000$ | 4,100,000$ | UFA | ||||||
Michael Eyssimont | C/LW | 27 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Mike Hoffman | C/LW | 34 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | ||||||
Mikey Anderson | D | 25 | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA | ||
Pavel Buchnevich | LW/RW | 29 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | |||||
Rasmus Ristolainen | D | 29 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA | ||||
Robert Thomas | C/RW | 24 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | |
Ryan Poehling | C | 25 | 1,400,000$ | 1,400,000$ | 1,400,000$ | RFA | ||||||
Valeri Nichushkin | RW | 29 | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | UFA | |||
Vitek Vanecek | G | 28 | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | UFA | |||
Yevgeni Kuznetsov | C/RW | 32 | 6,800,000$ | 6,800,000$ | 6,800,000$ | 6,800,000$ | 6,800,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Angus Booth | D | 20 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Ben MacDonald | C | 20 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Colton White | D | 27 | 762,500$ | 76,250$ | 76,250$ | UFA | ||||||
Connor Lockhart | C | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Daniel Ljungman | C/RW | 22 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Dillon Hamaliuk | LW | 23 | 789,167$ | 78,917$ | 78,917$ | RFA | ||||||
Dominik Simon | C/LW/RW | 29 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Dylan Peterson | C | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Filip Barklund | C/RW | 21 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
George Fegaras | D | 20 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Guillaume Richard | D | 21 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Hunter Miska | G | 28 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | |||||
Ilya Safonov | C | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Josh Pillar | C/RW | 22 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Kaapo Kahkonen | G | 27 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||||
Lukas Parik | G | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Mason Primeau | C | 22 | 825,000$ | 82,500$ | 82,500$ | RFA | ||||||
Michael Callow | RW | 20 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Michael Milne | LW | 21 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Nolan Collins | D | 20 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Samuel Sjolund | D | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Ty Ronning | RW | 26 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | |||||
Tyson Hinds | D | 21 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Will Cranley | G | 22 | 841,667$ | 84,167$ | 84,167$ | 84,167$ | RFA | |||||
William Francis | D | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 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 | 6.00 | 4.00 | 2.00 | 2 | 1.000 | 6.0 | 10.0 | 16.0 | 0 | 0 | 4 | 0 | 2 | 0 | 40.0 | 15 | 10 | 15 | 0 | 54.0 | 14.0 | 12.00 | 25.0 | 1.00 | 1.00 | 100.00% | 6.00 | 2.00 | 66.67% | 1 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 20.00 | 13.00 | 25.00 | 7.00 | 13.00 | 6.00 | 71.4% | 15.0% | 92.6% | 107.6 | LUCKY |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5.00 | 4.00 | 1.00 | 3 | 0.750 | 5.0 | 9.0 | 14.0 | 0 | 0 | 1 | 5 | 4 | 1 | 41.0 | 15 | 40 | 25 | 5 | 36.0 | 9.5 | 8.00 | 19.0 | 4.50 | 2.00 | 44.44% | 4.00 | 1.00 | 75.00% | 0 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 24.50 | 17.00 | 25.50 | 7.00 | 12.00 | 6.00 | 50.0% | 12.2% | 88.9% | 101.1 | FUN |
3 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.50 | 5.00 | -2.50 | 1 | 0.250 | 2.5 | 5.0 | 7.5 | 0 | 0 | 1 | 3 | 1 | 0 | 28.5 | 18 | 18 | 21 | 0 | 43.0 | 13.5 | 14.50 | 26.0 | 3.00 | 0.50 | 16.67% | 2.50 | 1.50 | 40.00% | 0 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 23.00 | 16.00 | 24.50 | 7.00 | 12.00 | 6.00 | 36.4% | 8.8% | 88.4% | 97.1 | Unlucky |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 4.00 | -1.00 | 2 | 0.500 | 3.0 | 6.0 | 9.0 | 0 | 0 | 2 | 1 | 3 | 0 | 35.0 | 17 | 24 | 29 | 0 | 35.0 | 9.5 | 10.50 | 16.0 | 5.00 | 1.00 | 20.00% | 4.00 | 1.00 | 75.00% | 0 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 24.50 | 17.00 | 23.00 | 6.50 | 12.00 | 6.00 | 40.0% | 8.6% | 88.6% | 97.1 | Unlucky |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 4.0 | 6.5 | 0 | 0 | 3 | 2 | 0 | 0 | 29.5 | 22 | 16 | 21 | 0 | 41.5 | 10.0 | 11.00 | 23.5 | 0.50 | 0.00 | 0.00% | 5.50 | 0.50 | 90.91% | 0 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 21.00 | 15.00 | 26.50 | 7.50 | 12.00 | 5.50 | 55.6% | 8.5% | 94.0% | 102.5 | DULL |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 4.5 | 7.5 | 0 | 0 | 1 | 2 | 3 | 0 | 33.5 | 19 | 24 | 24 | 0 | 30.5 | 11.5 | 5.00 | 18.5 | 3.00 | 0.50 | 16.67% | 2.50 | 1.50 | 40.00% | 0 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 25.00 | 17.50 | 22.00 | 6.50 | 12.00 | 6.50 | 62.5% | 9.0% | 90.2% | 99.1 | FUN |
_Vs Division | 11 | 5 | 4 | 0 | 0 | 1 | 0 | 1 | 3.45 | 3.73 | -0.27 | 12 | 0.545 | 3.5 | 6.1 | 9.5 | 0 | 0 | 12 | 13 | 13 | 1 | 34.1 | 106 | 132 | 135 | 5 | 38.7 | 11.1 | 10.00 | 21.0 | 3.00 | 0.82 | 27.27% | 3.91 | 1.18 | 69.77% | 1 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 23.55 | 16.45 | 24.55 | 7.00 | 12.36 | 6.09 | 50.9% | 10.1% | 90.4% | 100.5 | FUN | |
_Vs Conference | 11 | 5 | 4 | 0 | 0 | 1 | 0 | 1 | 3.45 | 3.73 | -0.27 | 12 | 0.545 | 3.5 | 6.1 | 9.5 | 0 | 0 | 12 | 13 | 13 | 1 | 34.1 | 106 | 132 | 135 | 5 | 38.7 | 11.1 | 10.00 | 21.0 | 3.00 | 0.82 | 27.27% | 3.91 | 1.18 | 69.77% | 1 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 23.55 | 16.45 | 24.55 | 7.00 | 12.36 | 6.09 | 50.9% | 10.1% | 90.4% | 100.5 | FUN | |
_Since Last GM Reset | 11 | 5 | 4 | 0 | 0 | 1 | 0 | 1 | 3.45 | 3.73 | -0.27 | 12 | 0.545 | 3.5 | 6.1 | 9.5 | 0 | 0 | 12 | 13 | 13 | 1 | 34.1 | 106 | 132 | 135 | 5 | 38.7 | 11.1 | 10.00 | 21.0 | 3.00 | 0.82 | 27.27% | 3.91 | 1.18 | 69.77% | 1 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 23.55 | 16.45 | 24.55 | 7.00 | 12.36 | 6.09 | 50.9% | 10.1% | 90.4% | 100.5 | FUN | |
Total | 11 | 5 | 4 | 0 | 0 | 1 | 0 | 1 | 3.45 | 3.73 | -0.27 | 12 | 0.545 | 3.5 | 6.1 | 9.5 | 0 | 0 | 12 | 13 | 13 | 1 | 34.1 | 106 | 132 | 135 | 5 | 38.7 | 11.1 | 10.00 | 21.0 | 3.00 | 0.82 | 27.27% | 3.91 | 1.18 | 69.77% | 1 | 189 | 384 | 49.22% | 181 | 404 | 44.80% | 93 | 190 | 48.95% | 23.55 | 16.45 | 24.55 | 7.00 | 12.36 | 6.09 | 50.9% | 10.1% | 90.4% | 100.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 384 |
Neutral Zone Start | 190 |
Defensive Zone Start | 404 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 463 |
Faceoffs Lost | 515 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.6 | 9.57 |
2nd Period | 21.6 | 20.31 |
3rd Period | 33.9 | 30.68 |
Overtime | 34.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 28 |
---|---|
PP Goal | 9 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 3 |
Lost | 2 | 2 |
Overtime Lost | 1 | 1 |
PP Attempt | 33 |
---|---|
PP Goal | 9 |
PK Attempt | 43 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 34.1 |
Shots Against | 38.7 |
Goals For | 3.5 |
Goals Against | 3.7 |
Hits | 21.0 |
Shots Blocked | 11.1 |
Pim | 10.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | @ | ![]() | RIN1,SLA4 | RECAP | |||||||||
4 | ![]() | @ | ![]() | SLA6,LYN4 | RECAP | |||||||||
6 | ![]() | @ | ![]() | SLA6,JAG3 | RECAP | |||||||||
9 | ![]() | @ | ![]() | SLA2,GWS6 | RECAP | |||||||||
10 | ![]() | @ | ![]() | JAG5,SLA0 | RECAP | |||||||||
15 | ![]() | @ | ![]() | MOU4,SLA7 | RECAP | |||||||||
18 | ![]() | @ | ![]() | GWS4,SLA3 (OT) | RECAP | |||||||||
22 | ![]() | @ | ![]() | SLA3,MOU4 (SO) | RECAP | |||||||||
23 | ![]() | @ | ![]() | SLA3,CRU2 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
26 | ![]() | @ | ![]() | CRU3,SLA2 | RECAP | |||||||||
27 | ![]() | @ | ![]() | SLA2,RIN5 | RECAP | |||||||||
32 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
76,896,250$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Minnesota | ||
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 |
76,896,250$ | 76,896,250$ | 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$ | 95,756,139$ | 95,756,139$ |
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 |
---|---|---|---|---|---|
Adam Kleber | ![]() | 2024 | 62 | 0 | |
Dylan MacKinnon | ![]() | 2023 | 95 | - | Link |
Eric Pohlkamp | ![]() | 2023 | 145 | - | Link |
Hiroki Gojsic | ![]() | 2024 | 118 | 0 | |
Jakub Stancl | ![]() | 2023 | 123 | - | Link |
Justin Kipkie | ![]() | 2023 | 179 | - | Link |
Kamil Bednarik | ![]() | 2024 | 79 | 0 | |
Matthew Andonovski | ![]() | 2023 | 151 | - | Link |
Matthew Perkins | ![]() | 2023 | 135 | - | Link |
Melvin Strahl | ![]() | 2023 | 173 | - | Link |
Mikus Vecvanags | ![]() | 2024 | 189 | 0 | |
Tanner Henricks | ![]() | 2024 | 120 | 0 | |
Terrell Goldsmith | ![]() | 2023 | 117 | - | Link |
Yegor Surin | ![]() | 2024 | 27 | 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 |
---|---|---|---|---|---|
Adam Kleber | ![]() | 2024 | 62 | 0 | |
Dylan MacKinnon | ![]() | 2023 | 95 | - | Link |
Eric Pohlkamp | ![]() | 2023 | 145 | - | Link |
Hiroki Gojsic | ![]() | 2024 | 118 | 0 | |
Jakub Stancl | ![]() | 2023 | 123 | - | Link |
Justin Kipkie | ![]() | 2023 | 179 | - | Link |
Kamil Bednarik | ![]() | 2024 | 79 | 0 | |
Matthew Andonovski | ![]() | 2023 | 151 | - | Link |
Matthew Perkins | ![]() | 2023 | 135 | - | Link |
Melvin Strahl | ![]() | 2023 | 173 | - | Link |
Mikus Vecvanags | ![]() | 2024 | 189 | 0 | |
Tanner Henricks | ![]() | 2024 | 120 | 0 | |
Terrell Goldsmith | ![]() | 2023 | 117 | - | Link |
Yegor Surin | ![]() | 2024 | 27 | 0 |
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