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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Mississauga Knights 5-5-1, 11pts · 9th in Canadian 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 | LW | 100.00 | 59 | 41 | 96 | 91 | 68 | 81 | 91 | 92 | 33 | 80 | 95 | 62 | 57 | 70 | 72 | 89 | 75 | 83 | 27 | 7,142,857$/3yrs | |||
![]() | 72 | C/LW/RW | 100.00 | 84 | 55 | 71 | 87 | 74 | 78 | 99 | 84 | 35 | 73 | 90 | 79 | 25 | 74 | 76 | 83 | 75 | 82 | 30 | 4,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 43 | 87 | 85 | 71 | 78 | 97 | 96 | 88 | 83 | 94 | 62 | 61 | 86 | 93 | 89 | 75 | 82 | 34 | 7,700,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 59 | 79 | 82 | 83 | 81 | 92 | 84 | 41 | 82 | 80 | 82 | 61 | 70 | 74 | 81 | 75 | 81 | 28 | 4,750,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 69 | 42 | 87 | 94 | 68 | 84 | 86 | 88 | 44 | 90 | 80 | 68 | 37 | 71 | 74 | 84 | 75 | 81 | 27 | 9,150,000$/8yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 71 | 42 | 78 | 83 | 68 | 78 | 93 | 90 | 34 | 84 | 85 | 65 | 55 | 71 | 73 | 85 | 75 | 80 | 27 | 7,875,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 43 | 90 | 78 | 65 | 70 | 68 | 77 | 35 | 78 | 84 | 69 | 75 | 56 | 56 | 81 | 75 | 78 | 22 | 863,334$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 91 | 70 | 78 | 78 | 75 | 77 | 84 | 84 | 75 | 72 | 74 | 77 | 25 | 88 | 92 | 73 | 75 | 74 | 36 | 1,950,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 97 | 70 | 70 | 85 | 77 | 74 | 76 | 74 | 44 | 71 | 82 | 65 | 37 | 83 | 85 | 77 | 75 | 74 | 32 | 2,600,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 42 | 89 | 86 | 73 | 78 | 86 | 92 | 52 | 82 | 75 | 60 | 56 | 72 | 72 | 78 | 75 | 74 | 29 | 3,500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 42 | 93 | 81 | 71 | 73 | 94 | 81 | 38 | 69 | 80 | 66 | 75 | 59 | 59 | 75 | 75 | 73 | 23 | 475,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 41 | 85 | 82 | 60 | 68 | 73 | 70 | 33 | 72 | 68 | 72 | 25 | 53 | 53 | 70 | 75 | 70 | 19 | 875,000$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 43 | 92 | 83 | 71 | 88 | 98 | 74 | 25 | 70 | 58 | 88 | 75 | 70 | 74 | 72 | 75 | 79 | 30 | 4,100,000$/3yrs | |||
![]() | 38 | D | 100.00 | 81 | 44 | 86 | 80 | 67 | 86 | 92 | 66 | 25 | 57 | 48 | 96 | 25 | 67 | 67 | 62 | 75 | 76 | 25 | 1,650,000$/4yrs | |||
![]() | 0 | D | 100.00 | 69 | 43 | 89 | 79 | 75 | 78 | 73 | 67 | 25 | 55 | 48 | 90 | 25 | 53 | 53 | 62 | 75 | 73 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 42 | 80 | 76 | 63 | 79 | 80 | 69 | 25 | 51 | 60 | 91 | 25 | 64 | 65 | 61 | 75 | 73 | 28 | 5,400,000$/5yrs | |||
![]() | 0 | D | 100.00 | 83 | 95 | 73 | 75 | 80 | 79 | 97 | 63 | 25 | 57 | 50 | 89 | 25 | 65 | 66 | 60 | 75 | 72 | 28 | 1,700,000$/4yrs | |||
![]() | 0 | D | 100.00 | 99 | 99 | 66 | 75 | 78 | 76 | 90 | 64 | 25 | 49 | 49 | 89 | 25 | 66 | 67 | 57 | 75 | 70 | 27 | 2,000,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 76 | 53 | 83 | 82 | 72 | 78 | 87 | 79 | 39 | 71 | 72 | 76 | 44 | 69 | 71 | 74 | 75 | 76 |
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 | 80 | 70 | 68 | 74 | 81 | 78 | 78 | 81 | 85 | 80 | 93 | 59 | 60 | 87 | 75 | 82 | 25 | 3,475,000$/1yrs |
![]() | 0 | 100.00 | 77 | 78 | 75 | 80 | 75 | 78 | 77 | 73 | 80 | 77 | 42 | 56 | 56 | 84 | 75 | 82 | 25 | 837,500$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 79 | 74 | 72 | 77 | 78 | 78 | 78 | 77 | 83 | 79 | 68 | 58 | 58 | 86 | 75 | 82 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Paul Resendes |
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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 | Frank Vatrano | ![]() | 72 | C/LW/RW | 11 | 2 | 8 | 10 | 2 | 11 | 5 | 29 | 32 | 6 | 19 | 6.25% | 5 | 17.84 | 0 | 2 | 2 | 0 | 0 | 0 | 29 | 0 | 0 | 31.03% | 232 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 |
2 | Kyle Connor | ![]() | 0 | LW | 11 | 6 | 4 | 10 | -4 | 0 | 0 | 0 | 36 | 9 | 22 | 16.67% | 0 | 21.10 | 2 | 0 | 2 | 0 | 0 | 0 | 41 | 2 | 2 | 28.92% | 83 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 |
3 | Devon Toews | ![]() | 0 | D | 11 | 4 | 6 | 10 | -6 | 8 | 0 | 12 | 15 | 7 | 11 | 26.67% | 20 | 25.77 | 2 | 0 | 2 | 0 | 1 | 1 | 47 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 |
4 | Steven Stamkos | ![]() | 0 | C/LW/RW | 11 | 4 | 6 | 10 | 1 | 0 | 0 | 14 | 38 | 11 | 19 | 10.53% | 0 | 18.66 | 0 | 1 | 1 | 1 | 0 | 1 | 25 | 0 | 0 | 50.00% | 42 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 |
5 | Mario Ferraro | ![]() | 38 | D | 11 | 0 | 8 | 8 | -4 | 24 | 0 | 31 | 14 | 3 | 6 | 0.00% | 27 | 24.42 | 0 | 3 | 3 | 0 | 1 | 1 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 |
6 | Alex Tuch | ![]() | 0 | C/RW | 11 | 3 | 3 | 6 | -5 | 6 | 0 | 30 | 31 | 13 | 15 | 9.68% | 1 | 20.33 | 3 | 2 | 5 | 0 | 0 | 0 | 37 | 1 | 0 | 30.00% | 190 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 |
7 | Kevin Fiala | ![]() | 0 | C/LW/RW | 11 | 0 | 5 | 5 | -4 | 6 | 0 | 15 | 36 | 13 | 25 | 0.00% | 2 | 19.48 | 0 | 4 | 4 | 0 | 0 | 0 | 22 | 0 | 0 | 32.14% | 112 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
8 | Nick Foligno | ![]() | 0 | LW/RW | 11 | 2 | 2 | 4 | -4 | 0 | 0 | 20 | 13 | 0 | 9 | 15.38% | 1 | 11.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 |
9 | Jacob Middleton | ![]() | 0 | D | 11 | 1 | 3 | 4 | 3 | 8 | 0 | 12 | 11 | 4 | 4 | 9.09% | 11 | 14.47 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 |
10 | Mathew Barzal | ![]() | 0 | C/RW | 11 | 2 | 2 | 4 | -3 | 2 | 0 | 5 | 21 | 6 | 23 | 9.52% | 0 | 15.20 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 |
11 | Evander Kane | ![]() | 0 | LW | 8 | 2 | 2 | 4 | 2 | 4 | 0 | 13 | 15 | 6 | 12 | 13.33% | 0 | 9.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 |
12 | Kirill Marchenko | ![]() | 0 | LW/RW | 11 | 1 | 2 | 3 | 2 | 2 | 0 | 1 | 24 | 3 | 10 | 4.17% | 2 | 10.83 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 44.83% | 29 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 |
13 | Jack Quinn | ![]() | 0 | LW/RW | 11 | 1 | 2 | 3 | 3 | 0 | 0 | 4 | 6 | 2 | 9 | 16.67% | 3 | 11.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 15 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
14 | Jake Walman | ![]() | 0 | D | 11 | 1 | 2 | 3 | -2 | 8 | 0 | 24 | 15 | 2 | 12 | 6.67% | 16 | 20.99 | 0 | 1 | 1 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 |
15 | Jeremy Lauzon | ![]() | 0 | D | 8 | 2 | 1 | 3 | 2 | 4 | 0 | 20 | 4 | 5 | 2 | 50.00% | 12 | 14.39 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 |
16 | Zach Benson | ![]() | 0 | C/LW | 8 | 1 | 2 | 3 | 2 | 0 | 0 | 1 | 7 | 2 | 7 | 14.29% | 0 | 9.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29.55% | 88 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 |
17 | Jonathan Drouin | ![]() | 0 | C/LW | 11 | 1 | 2 | 3 | -4 | 0 | 0 | 1 | 14 | 5 | 12 | 7.14% | 0 | 10.89 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 38.26% | 149 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 |
18 | Jackson LaCombe | ![]() | 0 | D | 8 | 0 | 0 | 0 | -1 | 8 | 0 | 8 | 7 | 4 | 9 | 0.00% | 11 | 21.01 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 186 | 33 | 60 | 93 | -20 | 91 | 5 | 240 | 339 | 101 | 226 | 9.73% | 111 | 16.66 | 8 | 14 | 22 | 305 | 1 | 2 | 3 | 329 | 5 | 2 | 33.30% | 967 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ukko-Pekka Luukkonen | ![]() | 8 | 4 | 3 | 1 | 0.909 | 3.23 | 465 | 0 | 0 | 25 | 274 | 0 | 0 | 0 | 0.000 | 0 | 8 | 0 | 1 | 0 | 0 |
2 | Jeremy Swayman | ![]() | 4 | 1 | 2 | 0 | 0.924 | 3.39 | 195 | 0 | 0 | 11 | 145 | 0 | 0 | 0 | 0.000 | 0 | 3 | 8 | 0 | 0 | 0 |
Team Total or Average | 12 | 5 | 5 | 1 | 0.914 | 3.27 | 661 | 0 | 0 | 36 | 419 | 0 | 0 | 0 | 0.000 | 0 | 11 | 8 | 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 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 2 | 1 | 2 | 0 | 37.0 | 24 | 28 | 22 | 0 | 34.0 | 11.0 | 5.00 | 28.5 | 4.00 | 0.00 | 0.00% | 2.00 | 0.00 | 100.00% | 0 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 22.50 | 15.50 | 24.50 | 7.00 | 12.00 | 5.50 | 50.0% | 6.8% | 92.6% | 99.4 | DULL |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4.00 | 3.50 | 0.50 | 3 | 0.750 | 4.0 | 7.5 | 11.5 | 0 | 0 | 1 | 7 | 0 | 0 | 33.5 | 20 | 29 | 18 | 0 | 33.0 | 8.5 | 5.00 | 20.5 | 3.00 | 1.50 | 50.00% | 2.00 | 0.50 | 75.00% | 0 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 24.00 | 17.00 | 24.00 | 7.00 | 12.00 | 5.50 | 45.5% | 11.9% | 89.4% | 101.3 | FUN |
3 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 5.50 | -3.50 | 0 | 0.000 | 2.0 | 3.5 | 5.5 | 0 | 0 | 0 | 3 | 1 | 0 | 31.0 | 20 | 19 | 23 | 0 | 50.0 | 15.0 | 13.00 | 28.5 | 3.00 | 0.50 | 16.67% | 6.50 | 1.50 | 76.92% | 0 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.00 | 14.00 | 26.00 | 7.00 | 12.50 | 5.50 | 27.3% | 6.5% | 89.0% | 95.5 | Unlucky |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 2.50 | 1.00 | 2 | 0.500 | 3.5 | 7.0 | 10.5 | 0 | 0 | 5 | 1 | 1 | 0 | 28.5 | 22 | 19 | 16 | 0 | 33.5 | 9.0 | 12.50 | 21.5 | 4.50 | 1.00 | 22.22% | 5.00 | 0.50 | 90.00% | 0 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.50 | 14.50 | 26.00 | 8.00 | 12.00 | 5.50 | 55.6% | 12.3% | 92.5% | 104.8 | LUCKY |
5 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2.50 | 3.00 | -0.50 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 2 | 1 | 1 | 1 | 27.5 | 19 | 13 | 21 | 2 | 37.0 | 11.5 | 14.00 | 22.5 | 2.00 | 0.50 | 25.00% | 6.50 | 1.00 | 84.62% | 1 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 20.00 | 13.00 | 27.00 | 7.50 | 12.50 | 6.00 | 50.0% | 9.1% | 91.9% | 101.0 | LUCKY |
6 | ![]() | 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 | 1 | 1 | 0 | 33.0 | 14 | 11 | 8 | 0 | 44.0 | 5.0 | 8.00 | 17.0 | 3.00 | 1.00 | 33.33% | 4.00 | 0.00 | 100.00% | 0 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.00 | 14.00 | 25.00 | 7.00 | 13.00 | 6.00 | 60.0% | 12.1% | 95.5% | 107.6 | LUCKY |
_Vs Division | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 3.00 | 3.27 | -0.27 | 11 | 0.500 | 3.0 | 5.6 | 8.6 | 0 | 0 | 12 | 14 | 6 | 1 | 31.6 | 119 | 119 | 108 | 2 | 38.1 | 10.5 | 9.73 | 23.6 | 3.27 | 0.73 | 22.22% | 4.36 | 0.64 | 85.42% | 1 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.91 | 14.91 | 25.64 | 7.55 | 12.45 | 5.91 | 46.3% | 9.5% | 91.4% | 100.9 | LUCKY | |
_Vs Conference | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 3.00 | 3.27 | -0.27 | 11 | 0.500 | 3.0 | 5.6 | 8.6 | 0 | 0 | 12 | 14 | 6 | 1 | 31.6 | 119 | 119 | 108 | 2 | 38.1 | 10.5 | 9.73 | 23.6 | 3.27 | 0.73 | 22.22% | 4.36 | 0.64 | 85.42% | 1 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.91 | 14.91 | 25.64 | 7.55 | 12.45 | 5.91 | 46.3% | 9.5% | 91.4% | 100.9 | LUCKY | |
_Since Last GM Reset | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 3.00 | 3.27 | -0.27 | 11 | 0.500 | 3.0 | 5.6 | 8.6 | 0 | 0 | 12 | 14 | 6 | 1 | 31.6 | 119 | 119 | 108 | 2 | 38.1 | 10.5 | 9.73 | 23.6 | 3.27 | 0.73 | 22.22% | 4.36 | 0.64 | 85.42% | 1 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.91 | 14.91 | 25.64 | 7.55 | 12.45 | 5.91 | 46.3% | 9.5% | 91.4% | 100.9 | LUCKY | |
Total | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 3.00 | 3.27 | -0.27 | 11 | 0.500 | 3.0 | 5.6 | 8.6 | 0 | 0 | 12 | 14 | 6 | 1 | 31.6 | 119 | 119 | 108 | 2 | 38.1 | 10.5 | 9.73 | 23.6 | 3.27 | 0.73 | 22.22% | 4.36 | 0.64 | 85.42% | 1 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.91 | 14.91 | 25.64 | 7.55 | 12.45 | 5.91 | 46.3% | 9.5% | 91.4% | 100.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 367 |
Neutral Zone Start | 168 |
Defensive Zone Start | 462 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 332 |
Faceoffs Lost | 665 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 21.6 | 20.31 |
3rd Period | 31.5 | 30.68 |
Overtime | 31.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 24 |
---|---|
PP Goal | 8 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 4 |
Lost | 4 | 1 |
Overtime Lost | 0 | 1 |
PP Attempt | 36 |
---|---|
PP Goal | 8 |
PK Attempt | 48 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 31.6 |
Shots Against | 38.1 |
Goals For | 3.0 |
Goals Against | 3.3 |
Hits | 23.6 |
Shots Blocked | 10.5 |
Pim | 9.7 |
![]() | |
Total Salaries | 80,518,691$ |
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) | 59 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 17 |
LTIR Players | 0 |
Knights 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 Tuch | C/RW | 28 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Devon Toews | D | 30 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | UFA | ||||
Evander Kane | LW | 32 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA | |||
Frank Vatrano | C/LW/RW | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Jack Quinn | LW/RW | 22 | 863,334$ | 863,334$ | 863,334$ | 863,334$ | RFA | |||||
Jackson LaCombe | D | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | ||||||
Jacob Middleton | D | 28 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | |||
Jake Walman | D | 28 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | UFA | ||
Jeremy Lauzon | D | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Jeremy Swayman | G | 25 | 3,475,000$ | 3,475,000$ | 3,475,000$ | RFA | ||||||
Jonathan Drouin | C/LW | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Kevin Fiala | C/LW/RW | 27 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA | |
Kirill Marchenko | LW/RW | 23 | 475,000$ | 475,000$ | 475,000$ | 475,000$ | 475,000$ | RFA | ||||
Kyle Connor | LW | 27 | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | 7,142,857$ | UFA | ||||
Mario Ferraro | D | 25 | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | UFA | |||
Mathew Barzal | C/RW | 27 | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | 9,150,000$ | |
Nick Foligno | LW/RW | 36 | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | UFA | |||||
Steven Stamkos | C/LW/RW | 34 | 7,700,000$ | 7,700,000$ | 7,700,000$ | 7,700,000$ | 7,700,000$ | UFA | ||||
Ukko-Pekka Luukkonen | G | 25 | 837,500$ | 837,500$ | 837,500$ | RFA | ||||||
Zach Benson | C/LW | 19 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Sykora | C/LW | 19 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Anton Johansson | D | 20 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Antti Saarela | C/LW/RW | 23 | 896,250$ | 89,625$ | 89,625$ | 89,625$ | RFA | |||||
Brad Lambert | C/RW | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Calle Clang | G | 22 | 878,333$ | 87,833$ | 87,833$ | 87,833$ | RFA | |||||
Colby Ambrosio | C | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Daniil Orlov | D | 20 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Darren Raddysh | D | 28 | 575,000$ | 57,500$ | 57,500$ | 57,500$ | 57,500$ | 57,500$ | UFA | |||
Emil Bemstrom | C/RW | 25 | 900,000$ | 90,000$ | 90,000$ | RFA | ||||||
Filip Gustavsson | G | 26 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | ||||
Jackson Hallum | C/LW/RW | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Jacob Perreault | RW | 22 | 863,334$ | 86,333$ | 86,333$ | 86,333$ | RFA | |||||
Jake Leschyshyn | C | 25 | 766,667$ | 76,667$ | 76,667$ | 76,667$ | RFA | |||||
Jake Richard | RW | 19 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Jakub Lauko | C/LW/RW | 24 | 787,500$ | 78,750$ | 78,750$ | 78,750$ | RFA | |||||
Justin Danforth | C/RW | 31 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | UFA | |||||
Kaapo Kakko | RW | 23 | 2,100,000$ | 2,100,000$ | 2,100,000$ | RFA | ||||||
Kiefer Sherwood | C/LW/RW | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Marco Kasper | C | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Max Jones | LW/RW | 26 | 1,295,000$ | 129,500$ | 129,500$ | RFA | ||||||
Nick Seeler | D | 31 | 650,000$ | 65,000$ | 65,000$ | 65,000$ | 65,000$ | UFA | ||||
Noah Ostlund | C | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Olen Zellweger | D | 20 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Oliver Tarnstrom | C | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Oskari Laaksonen | D | 24 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Peyton Krebs | C/LW | 23 | 863,333$ | 86,333$ | 86,333$ | RFA | ||||||
Quinn Finley | LW | 19 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Reid Schaefer | LW | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Reto Berra | G | 37 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Ryan Chesley | D | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Ryan Donato | C/LW | 28 | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | ||||
Samuel Jonsson | D | 26 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Scott Perunovich | D | 25 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Stiven Sardaryan | C/RW | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Topias Leinonen | G | 20 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Vasili Ponomaryov | C | 22 | 795,000$ | 79,500$ | 79,500$ | 79,500$ | RFA | |||||
Victor Mancini | D | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Victor Soderstrom | D | 23 | 863,333$ | 86,333$ | 86,333$ | RFA | ||||||
Viktor Neuchev | LW | 20 | 625,000$ | 62,500$ | 62,500$ | 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 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 2 | 1 | 2 | 0 | 37.0 | 24 | 28 | 22 | 0 | 34.0 | 11.0 | 5.00 | 28.5 | 4.00 | 0.00 | 0.00% | 2.00 | 0.00 | 100.00% | 0 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 22.50 | 15.50 | 24.50 | 7.00 | 12.00 | 5.50 | 50.0% | 6.8% | 92.6% | 99.4 | DULL |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4.00 | 3.50 | 0.50 | 3 | 0.750 | 4.0 | 7.5 | 11.5 | 0 | 0 | 1 | 7 | 0 | 0 | 33.5 | 20 | 29 | 18 | 0 | 33.0 | 8.5 | 5.00 | 20.5 | 3.00 | 1.50 | 50.00% | 2.00 | 0.50 | 75.00% | 0 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 24.00 | 17.00 | 24.00 | 7.00 | 12.00 | 5.50 | 45.5% | 11.9% | 89.4% | 101.3 | FUN |
3 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 5.50 | -3.50 | 0 | 0.000 | 2.0 | 3.5 | 5.5 | 0 | 0 | 0 | 3 | 1 | 0 | 31.0 | 20 | 19 | 23 | 0 | 50.0 | 15.0 | 13.00 | 28.5 | 3.00 | 0.50 | 16.67% | 6.50 | 1.50 | 76.92% | 0 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.00 | 14.00 | 26.00 | 7.00 | 12.50 | 5.50 | 27.3% | 6.5% | 89.0% | 95.5 | Unlucky |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 2.50 | 1.00 | 2 | 0.500 | 3.5 | 7.0 | 10.5 | 0 | 0 | 5 | 1 | 1 | 0 | 28.5 | 22 | 19 | 16 | 0 | 33.5 | 9.0 | 12.50 | 21.5 | 4.50 | 1.00 | 22.22% | 5.00 | 0.50 | 90.00% | 0 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.50 | 14.50 | 26.00 | 8.00 | 12.00 | 5.50 | 55.6% | 12.3% | 92.5% | 104.8 | LUCKY |
5 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2.50 | 3.00 | -0.50 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 2 | 1 | 1 | 1 | 27.5 | 19 | 13 | 21 | 2 | 37.0 | 11.5 | 14.00 | 22.5 | 2.00 | 0.50 | 25.00% | 6.50 | 1.00 | 84.62% | 1 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 20.00 | 13.00 | 27.00 | 7.50 | 12.50 | 6.00 | 50.0% | 9.1% | 91.9% | 101.0 | LUCKY |
6 | ![]() | 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 | 1 | 1 | 0 | 33.0 | 14 | 11 | 8 | 0 | 44.0 | 5.0 | 8.00 | 17.0 | 3.00 | 1.00 | 33.33% | 4.00 | 0.00 | 100.00% | 0 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.00 | 14.00 | 25.00 | 7.00 | 13.00 | 6.00 | 60.0% | 12.1% | 95.5% | 107.6 | LUCKY |
_Vs Division | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 3.00 | 3.27 | -0.27 | 11 | 0.500 | 3.0 | 5.6 | 8.6 | 0 | 0 | 12 | 14 | 6 | 1 | 31.6 | 119 | 119 | 108 | 2 | 38.1 | 10.5 | 9.73 | 23.6 | 3.27 | 0.73 | 22.22% | 4.36 | 0.64 | 85.42% | 1 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.91 | 14.91 | 25.64 | 7.55 | 12.45 | 5.91 | 46.3% | 9.5% | 91.4% | 100.9 | LUCKY | |
_Vs Conference | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 3.00 | 3.27 | -0.27 | 11 | 0.500 | 3.0 | 5.6 | 8.6 | 0 | 0 | 12 | 14 | 6 | 1 | 31.6 | 119 | 119 | 108 | 2 | 38.1 | 10.5 | 9.73 | 23.6 | 3.27 | 0.73 | 22.22% | 4.36 | 0.64 | 85.42% | 1 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.91 | 14.91 | 25.64 | 7.55 | 12.45 | 5.91 | 46.3% | 9.5% | 91.4% | 100.9 | LUCKY | |
_Since Last GM Reset | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 3.00 | 3.27 | -0.27 | 11 | 0.500 | 3.0 | 5.6 | 8.6 | 0 | 0 | 12 | 14 | 6 | 1 | 31.6 | 119 | 119 | 108 | 2 | 38.1 | 10.5 | 9.73 | 23.6 | 3.27 | 0.73 | 22.22% | 4.36 | 0.64 | 85.42% | 1 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.91 | 14.91 | 25.64 | 7.55 | 12.45 | 5.91 | 46.3% | 9.5% | 91.4% | 100.9 | LUCKY | |
Total | 11 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 3.00 | 3.27 | -0.27 | 11 | 0.500 | 3.0 | 5.6 | 8.6 | 0 | 0 | 12 | 14 | 6 | 1 | 31.6 | 119 | 119 | 108 | 2 | 38.1 | 10.5 | 9.73 | 23.6 | 3.27 | 0.73 | 22.22% | 4.36 | 0.64 | 85.42% | 1 | 131 | 367 | 35.69% | 149 | 462 | 32.25% | 52 | 168 | 30.95% | 21.91 | 14.91 | 25.64 | 7.55 | 12.45 | 5.91 | 46.3% | 9.5% | 91.4% | 100.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 367 |
Neutral Zone Start | 168 |
Defensive Zone Start | 462 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 332 |
Faceoffs Lost | 665 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 21.6 | 20.31 |
3rd Period | 31.5 | 30.68 |
Overtime | 31.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 24 |
---|---|
PP Goal | 8 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 4 |
Lost | 4 | 1 |
Overtime Lost | 0 | 1 |
PP Attempt | 36 |
---|---|
PP Goal | 8 |
PK Attempt | 48 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 31.6 |
Shots Against | 38.1 |
Goals For | 3.0 |
Goals Against | 3.3 |
Hits | 23.6 |
Shots Blocked | 10.5 |
Pim | 9.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | ![]() | @ | ![]() | KNI3,GRI2 (OT) | RECAP | |||||||||
4 | ![]() | @ | ![]() | KNI2,BRA4 | RECAP | |||||||||
5 | ![]() | @ | ![]() | GRI4,KNI2 | RECAP | |||||||||
9 | ![]() | @ | ![]() | KNI3,FRE2 | RECAP | |||||||||
10 | ![]() | @ | ![]() | ROC3,KNI2 | RECAP | |||||||||
13 | ![]() | @ | ![]() | KNI5,ROC2 | RECAP | |||||||||
16 | ![]() | @ | ![]() | FRE3,KNI2 | RECAP | |||||||||
19 | ![]() | @ | ![]() | KNI4,HIT2 | RECAP | |||||||||
20 | ![]() | @ | ![]() | KNI3,THU4 (OT) | RECAP | |||||||||
22 | ![]() | @ | ![]() | THU3,KNI5 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
26 | ![]() | @ | ![]() | BRA7,KNI2 | RECAP | |||||||||
31 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,518,691$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Mississauga | ||
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 |
80,518,691$ | 80,518,691$ | 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 | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 57,729,880$ | 57,729,880$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
---|---|---|---|---|---|
Aaron Pionk | ![]() | 2023 | 167 | - | Link |
Andrew Basha | ![]() | 2024 | 35 | 0 | |
Anton Wahlberg | ![]() | 2023 | 33 | - | Link |
Artyom Levshunov | ![]() | 2024 | 8 | 0 | |
Calum Ritchie | ![]() | 2023 | 22 | - | Link |
Damian Clara | ![]() | 2023 | 74 | - | Link |
Ethan Miedema | ![]() | 2023 | 97 | - | Link |
Etienne Morin | ![]() | 2023 | 61 | - | Link |
Evan Gardner | ![]() | 2024 | 76 | 0 | |
Gavin McCarthy | ![]() | 2023 | 82 | - | Link |
Hagen Burrows | ![]() | 2024 | 146 | 0 | |
Joel Svensson | ![]() | 2024 | 188 | 0 | |
Linus Eriksson | ![]() | 2024 | 42 | 0 | |
Lucas Pettersson | ![]() | 2024 | 34 | 0 | |
Mac Swanson | ![]() | 2024 | 127 | 0 | |
Max Graham | ![]() | 2024 | 192 | 0 | |
Maxim Masse | ![]() | 2024 | 49 | 0 | |
Melvin Fernstrom | ![]() | 2024 | 92 | 0 | |
Mikhail Yegorov | ![]() | 2024 | 64 | 0 | |
Nikita Ishimnikov | ![]() | 2023 | 172 | - | Link |
Ondrej Becher | ![]() | 2024 | 104 | 0 | |
Ryder Ritchie | ![]() | 2024 | 36 | 0 | |
Scott Ratzlaff | ![]() | 2023 | 107 | - | Link |
Spencer Gill | ![]() | 2024 | 71 | 0 | |
Trey Augustine | ![]() | 2023 | 39 | - | Link |
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 |
---|---|---|---|---|---|
Aaron Pionk | ![]() | 2023 | 167 | - | Link |
Andrew Basha | ![]() | 2024 | 35 | 0 | |
Anton Wahlberg | ![]() | 2023 | 33 | - | Link |
Artyom Levshunov | ![]() | 2024 | 8 | 0 | |
Calum Ritchie | ![]() | 2023 | 22 | - | Link |
Damian Clara | ![]() | 2023 | 74 | - | Link |
Ethan Miedema | ![]() | 2023 | 97 | - | Link |
Etienne Morin | ![]() | 2023 | 61 | - | Link |
Evan Gardner | ![]() | 2024 | 76 | 0 | |
Gavin McCarthy | ![]() | 2023 | 82 | - | Link |
Hagen Burrows | ![]() | 2024 | 146 | 0 | |
Joel Svensson | ![]() | 2024 | 188 | 0 | |
Linus Eriksson | ![]() | 2024 | 42 | 0 | |
Lucas Pettersson | ![]() | 2024 | 34 | 0 | |
Mac Swanson | ![]() | 2024 | 127 | 0 | |
Max Graham | ![]() | 2024 | 192 | 0 | |
Maxim Masse | ![]() | 2024 | 49 | 0 | |
Melvin Fernstrom | ![]() | 2024 | 92 | 0 | |
Mikhail Yegorov | ![]() | 2024 | 64 | 0 | |
Nikita Ishimnikov | ![]() | 2023 | 172 | - | Link |
Ondrej Becher | ![]() | 2024 | 104 | 0 | |
Ryder Ritchie | ![]() | 2024 | 36 | 0 | |
Scott Ratzlaff | ![]() | 2023 | 107 | - | Link |
Spencer Gill | ![]() | 2024 | 71 | 0 | |
Trey Augustine | ![]() | 2023 | 39 | - | Link |
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