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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Ottawa Grinders 3-6-2, 8pts · 13th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 53 | C | 100.00 | 71 | 53 | 85 | 88 | 78 | 81 | 97 | 86 | 95 | 80 | 88 | 67 | 63 | 79 | 80 | 85 | 75 | 81 | 29 | 8,500,000$/4yrs | |||
![]() | 8 | C/RW | 100.00 | 59 | 40 | 95 | 85 | 65 | 80 | 88 | 88 | 58 | 82 | 79 | 70 | 61 | 69 | 69 | 80 | 75 | 78 | 28 | 5,850,000$/3yrs | |||
![]() | 12 | C | 100.00 | 78 | 45 | 91 | 81 | 82 | 63 | 95 | 65 | 84 | 63 | 59 | 84 | 37 | 73 | 75 | 61 | 75 | 66 | 30 | 1,650,000$/2yrs | |||
![]() | 26 | LW | 100.00 | 86 | 75 | 87 | 72 | 67 | 57 | 83 | 65 | 44 | 61 | 70 | 68 | 25 | 60 | 61 | 66 | 75 | 66 | 30 | 1,050,000$/2yrs | |||
![]() | 71 | LW/RW | 100.00 | 63 | 41 | 97 | 79 | 66 | 59 | 80 | 72 | 25 | 63 | 66 | 62 | 80 | 66 | 66 | 65 | 75 | 64 | 28 | 4,750,000$/1yrs | |||
![]() | 89 | C/LW/RW | 100.00 | 63 | 64 | 91 | 89 | 71 | 64 | 72 | 71 | 66 | 70 | 58 | 69 | 77 | 71 | 72 | 63 | 75 | 64 | 29 | 1,500,000$/3yrs | |||
![]() | 17 | C/LW | 100.00 | 79 | 77 | 87 | 66 | 76 | 61 | 63 | 62 | 85 | 60 | 61 | 69 | 58 | 49 | 49 | 61 | 75 | 63 | 29 | 500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 82 | 58 | 86 | 78 | 78 | 59 | 97 | 64 | 48 | 64 | 57 | 71 | 25 | 71 | 71 | 60 | 75 | 62 | 27 | 575,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 83 | 45 | 91 | 80 | 77 | 53 | 72 | 66 | 31 | 55 | 66 | 65 | 25 | 63 | 65 | 61 | 75 | 61 | 26 | 1,500,000$/4yrs | |||
![]() | 46 | D | 100.00 | 73 | 42 | 95 | 85 | 59 | 88 | 65 | 85 | 25 | 64 | 47 | 99 | 25 | 81 | 85 | 75 | 75 | 85 | 34 | 6,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 44 | 85 | 86 | 78 | 93 | 87 | 89 | 25 | 66 | 53 | 86 | 25 | 78 | 78 | 79 | 75 | 83 | 29 | 9,500,000$/1yrs | |||
![]() | 72 | D | 100.00 | 73 | 43 | 87 | 84 | 73 | 87 | 77 | 82 | 25 | 69 | 60 | 75 | 25 | 69 | 69 | 76 | 75 | 77 | 27 | 8,000,000$/5yrs | |||
![]() | 3 | D | 100.00 | 73 | 43 | 83 | 80 | 71 | 81 | 60 | 88 | 25 | 67 | 47 | 65 | 25 | 74 | 75 | 78 | 75 | 74 | 31 | 2,900,000$/2yrs | |||
![]() | 45 | D | 100.00 | 71 | 42 | 82 | 72 | 63 | 76 | 75 | 66 | 25 | 56 | 48 | 88 | 25 | 66 | 67 | 61 | 75 | 72 | 27 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 44 | 72 | 72 | 74 | 75 | 63 | 60 | 25 | 51 | 47 | 92 | 25 | 70 | 72 | 56 | 75 | 70 | 30 | 625,000$/3yrs | |||
![]() | 2 | D | 100.00 | 69 | 42 | 72 | 81 | 63 | 72 | 84 | 80 | 25 | 56 | 47 | 69 | 25 | 60 | 61 | 69 | 75 | 69 | 24 | 825,000$/1yrs | |||
![]() | 9 | D | 100.00 | 71 | 43 | 85 | 81 | 74 | 71 | 70 | 74 | 25 | 64 | 50 | 65 | 25 | 67 | 68 | 69 | 75 | 68 | 30 | 1,500,000$/2yrs | |||
![]() | 6 | D | 100.00 | 85 | 45 | 83 | 79 | 71 | 67 | 80 | 63 | 25 | 49 | 50 | 71 | 25 | 72 | 73 | 57 | 75 | 63 | 31 | 3,300,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 94 | LW | 100.00 | 89 | 59 | 71 | 76 | 66 | 54 | 96 | 64 | 33 | 53 | 58 | 67 | 25 | 64 | 66 | 56 | 75 | 58 | 29 | 450,000$/4yrs | |||
![]() | 72 | LW/RW | 100.00 | 93 | 71 | 88 | 72 | 78 | 50 | 82 | 63 | 39 | 54 | 56 | 66 | 75 | 68 | 68 | 55 | 75 | 57 | 29 | 1,050,000$/2yrs | |||
![]() | 81 | C/RW | 100.00 | 79 | 70 | 80 | 77 | 70 | 64 | 70 | 45 | 58 | 56 | 53 | 59 | 42 | 60 | 61 | 54 | 75 | 56 | 24 | 1,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 70 | 88 | 62 | 70 | 72 | 76 | 56 | 48 | 47 | 58 | 47 | 55 | 51 | 51 | 53 | 75 | 54 | 27 | 1,250,000$/4yrs | |||
![]() | 0 | LWD | 100.00 | 83 | 99 | 57 | 69 | 90 | 39 | 63 | 61 | 25 | 41 | 48 | 67 | 25 | 64 | 64 | 45 | 75 | 52 | 30 | 700,000$/3yrs | |||
TEAM AVERAGE | 100.00 | 76 | 55 | 84 | 78 | 72 | 68 | 78 | 70 | 42 | 60 | 58 | 71 | 39 | 67 | 68 | 65 | 75 | 67 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 60 | 67 | 66 | 79 | 65 | 54 | 70 | 60 | 65 | 60 | 68 | 59 | 60 | 73 | 75 | 71 | 29 | 2,400,000$/3yrs |
![]() | 30 | 100.00 | 62 | 59 | 59 | 78 | 65 | 58 | 69 | 61 | 65 | 62 | 59 | 60 | 60 | 74 | 75 | 70 | 31 | 1,750,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 61 | 63 | 63 | 79 | 65 | 56 | 70 | 61 | 65 | 61 | 64 | 60 | 60 | 74 | 75 | 71 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | UHL |
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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 | Nick Schmaltz | ![]() | 8 | C/RW | 11 | 5 | 4 | 9 | -7 | 0 | 0 | 6 | 48 | 15 | 25 | 10.42% | 5 | 24.77 | 2 | 2 | 4 | 0 | 0 | 0 | 21 | 1 | 1 | 32.61% | 46 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 |
2 | Bo Horvat | ![]() | 53 | C | 11 | 4 | 4 | 8 | -8 | 0 | 0 | 9 | 49 | 15 | 34 | 8.16% | 1 | 20.84 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 68.82% | 186 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 |
3 | John Klingberg | ![]() | 3 | D | 11 | 3 | 4 | 7 | -3 | 4 | 0 | 5 | 9 | 3 | 9 | 33.33% | 6 | 19.54 | 2 | 1 | 3 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 |
4 | Radek Faksa | ![]() | 12 | C | 11 | 3 | 2 | 5 | -5 | 13 | 5 | 32 | 25 | 3 | 20 | 12.00% | 4 | 19.64 | 2 | 2 | 4 | 0 | 0 | 0 | 24 | 0 | 0 | 53.71% | 229 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 |
5 | Colin Miller | ![]() | 6 | D | 11 | 0 | 5 | 5 | -6 | 8 | 0 | 25 | 6 | 3 | 3 | 0.00% | 11 | 21.18 | 0 | 2 | 2 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
6 | Calen Addison | ![]() | 2 | D | 11 | 1 | 3 | 4 | -12 | 4 | 0 | 24 | 7 | 6 | 5 | 14.29% | 22 | 22.06 | 1 | 1 | 2 | 0 | 0 | 0 | 25 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 |
7 | Matt Benning | ![]() | 0 | D | 11 | 1 | 2 | 3 | -2 | 12 | 0 | 19 | 13 | 1 | 3 | 7.69% | 13 | 16.15 | 0 | 1 | 1 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 |
8 | Nathan Walker | ![]() | 26 | LW | 11 | 0 | 3 | 3 | -7 | 10 | 0 | 25 | 12 | 3 | 7 | 0.00% | 2 | 19.25 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 50.00% | 16 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 |
9 | Andreas Athanasiou | ![]() | 89 | C/LW/RW | 11 | 1 | 2 | 3 | -9 | 2 | 0 | 2 | 30 | 5 | 19 | 3.33% | 1 | 20.59 | 0 | 2 | 2 | 0 | 0 | 0 | 15 | 1 | 0 | 51.85% | 27 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 |
10 | Thomas Chabot | ![]() | 72 | D | 11 | 1 | 1 | 2 | -9 | 6 | 0 | 20 | 23 | 3 | 8 | 4.35% | 15 | 22.45 | 0 | 1 | 1 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 |
11 | Victor Olofsson | ![]() | 71 | LW/RW | 11 | 0 | 2 | 2 | -5 | 2 | 0 | 12 | 15 | 5 | 14 | 0.00% | 1 | 20.67 | 0 | 1 | 1 | 0 | 0 | 0 | 28 | 0 | 0 | 27.03% | 74 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 |
12 | Christian Fischer | ![]() | 0 | C/RW | 11 | 0 | 2 | 2 | -7 | 0 | 0 | 20 | 13 | 6 | 18 | 0.00% | 1 | 16.99 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 41.55% | 219 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 |
13 | Jared Spurgeon | ![]() | 46 | D | 11 | 1 | 1 | 2 | -6 | 2 | 0 | 6 | 6 | 3 | 0 | 16.67% | 12 | 16.14 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 |
14 | Jesse Puljujarvi | ![]() | 0 | RW | 11 | 0 | 2 | 2 | -1 | 2 | 0 | 16 | 16 | 7 | 4 | 0.00% | 0 | 13.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 8 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 |
15 | Jujhar Khaira | ![]() | 17 | C/LW | 11 | 1 | 0 | 1 | -8 | 8 | 0 | 14 | 7 | 3 | 8 | 14.29% | 3 | 18.75 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 59.38% | 96 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 |
16 | Alexandre Carrier | ![]() | 45 | D | 11 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 5 | 1 | 1 | 0.00% | 4 | 3.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Mike Reilly | ![]() | 9 | D | 11 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Seth Jones | ![]() | 0 | D | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.07 | 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 | 21 | 37 | 58 | -93 | 73 | 5 | 238 | 284 | 82 | 178 | 7.39% | 101 | 16.44 | 8 | 15 | 23 | 340 | 0 | 0 | 0 | 213 | 3 | 1 | 51.00% | 902 | 0 | 0 | 0 | 0 | 0.36 | 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 | Ville Husso | ![]() | 11 | 3 | 6 | 2 | 0.894 | 3.78 | 587 | 0 | 0 | 37 | 350 | 0 | 0 | 0 | 0.000 | 0 | 11 | 0 | 0 | 0 | 1 |
2 | Anton Forsberg | ![]() | 2 | 0 | 0 | 0 | 0.889 | 3.12 | 77 | 0 | 0 | 4 | 36 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Team Total or Average | 13 | 3 | 6 | 2 | 0.894 | 3.71 | 664 | 0 | 0 | 41 | 386 | 0 | 0 | 0 | 0.000 | 0 | 11 | 11 | 0 | 0 | 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 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2.50 | 2.50 | 0.00 | 3 | 0.750 | 2.5 | 4.5 | 7.0 | 0 | 0 | 2 | 2 | 0 | 1 | 26.0 | 16 | 16 | 16 | 4 | 38.0 | 10.5 | 9.50 | 22.0 | 2.50 | 1.00 | 40.00% | 3.50 | 0.50 | 85.71% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 23.00 | 15.50 | 25.00 | 7.50 | 13.00 | 6.50 | 42.9% | 9.6% | 93.4% | 103.0 | LUCKY |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0.50 | 5.00 | -4.50 | 0 | 0.000 | 0.5 | 1.0 | 1.5 | 0 | 0 | 1 | 0 | 0 | 0 | 22.0 | 15 | 13 | 16 | 0 | 37.5 | 7.5 | 3.00 | 17.5 | 3.00 | 0.00 | 0.00% | 1.50 | 0.50 | 66.67% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 23.50 | 16.50 | 23.00 | 7.00 | 12.50 | 6.50 | 10.0% | 2.3% | 86.7% | 88.9 | Unlucky |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 5.00 | -3.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 0 | 1 | 0 | 23.0 | 8 | 5 | 10 | 0 | 36.0 | 7.0 | 6.00 | 12.0 | 4.00 | 2.00 | 50.00% | 3.00 | 0.00 | 100.00% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 25.00 | 18.00 | 22.00 | 7.00 | 12.00 | 6.00 | 0.0% | 8.7% | 86.1% | 94.8 | Unlucky |
4 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.50 | -3.00 | 0 | 0.000 | 1.5 | 3.0 | 4.5 | 0 | 0 | 2 | 0 | 1 | 0 | 24.0 | 17 | 18 | 13 | 0 | 33.5 | 10.5 | 8.00 | 26.0 | 3.50 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 22.50 | 15.00 | 24.50 | 7.00 | 12.50 | 6.00 | 30.0% | 6.3% | 86.6% | 92.8 | Unlucky |
5 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3.00 | 2.50 | 0.50 | 3 | 0.750 | 3.0 | 4.5 | 7.5 | 0 | 0 | 1 | 4 | 1 | 0 | 37.0 | 23 | 29 | 22 | 0 | 27.5 | 8.5 | 5.00 | 20.0 | 6.50 | 1.00 | 15.38% | 2.00 | 0.50 | 75.00% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 27.00 | 19.00 | 20.00 | 7.00 | 12.50 | 6.00 | 50.0% | 8.1% | 90.9% | 99.0 | Unlucky |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.50 | -1.50 | 2 | 0.500 | 2.0 | 3.5 | 5.5 | 0 | 0 | 1 | 1 | 2 | 0 | 21.5 | 9 | 19 | 15 | 0 | 38.5 | 10.0 | 8.00 | 27.5 | 2.50 | 1.00 | 40.00% | 4.00 | 2.00 | 50.00% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 22.00 | 14.00 | 25.00 | 7.00 | 12.50 | 6.00 | 40.0% | 9.3% | 90.9% | 100.2 | FUN |
_Vs Division | 11 | 2 | 6 | 0 | 1 | 2 | 0 | 0 | 1.91 | 3.73 | -1.82 | 8 | 0.364 | 1.9 | 3.4 | 5.3 | 0 | 0 | 8 | 7 | 5 | 1 | 25.8 | 88 | 100 | 92 | 4 | 35.1 | 9.2 | 6.64 | 21.6 | 3.64 | 0.73 | 20.00% | 3.00 | 0.82 | 72.73% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 23.91 | 16.36 | 23.55 | 7.27 | 12.91 | 6.45 | 28.9% | 7.4% | 89.4% | 96.8 | Unlucky | |
_Vs Conference | 11 | 2 | 6 | 0 | 1 | 2 | 0 | 0 | 1.91 | 3.73 | -1.82 | 8 | 0.364 | 1.9 | 3.4 | 5.3 | 0 | 0 | 8 | 7 | 5 | 1 | 25.8 | 88 | 100 | 92 | 4 | 35.1 | 9.2 | 6.64 | 21.6 | 3.64 | 0.73 | 20.00% | 3.00 | 0.82 | 72.73% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 23.91 | 16.36 | 23.55 | 7.27 | 12.91 | 6.45 | 28.9% | 7.4% | 89.4% | 96.8 | Unlucky | |
_Since Last GM Reset | 11 | 2 | 6 | 0 | 1 | 2 | 0 | 0 | 1.91 | 3.73 | -1.82 | 8 | 0.364 | 1.9 | 3.4 | 5.3 | 0 | 0 | 8 | 7 | 5 | 1 | 25.8 | 88 | 100 | 92 | 4 | 35.1 | 9.2 | 6.64 | 21.6 | 3.64 | 0.73 | 20.00% | 3.00 | 0.82 | 72.73% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 23.91 | 16.36 | 23.55 | 7.27 | 12.91 | 6.45 | 28.9% | 7.4% | 89.4% | 96.8 | Unlucky | |
Total | 11 | 2 | 6 | 0 | 1 | 2 | 0 | 0 | 1.91 | 3.73 | -1.82 | 8 | 0.364 | 1.9 | 3.4 | 5.3 | 0 | 0 | 8 | 7 | 5 | 1 | 25.8 | 88 | 100 | 92 | 4 | 35.1 | 9.2 | 6.64 | 21.6 | 3.64 | 0.73 | 20.00% | 3.00 | 0.82 | 72.73% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 23.91 | 16.36 | 23.55 | 7.27 | 12.91 | 6.45 | 28.9% | 7.4% | 89.4% | 96.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 364 |
Neutral Zone Start | 163 |
Defensive Zone Start | 368 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 460 |
Faceoffs Lost | 435 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.0 | 9.57 |
2nd Period | 17.1 | 20.31 |
3rd Period | 25.5 | 30.68 |
Overtime | 25.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 1.8 | 2.67 |
Overtime | 1.9 | 2.83 |
Even Strenght Goal | 13 |
---|---|
PP Goal | 8 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 2 |
Lost | 4 | 2 |
Overtime Lost | 1 | 1 |
PP Attempt | 40 |
---|---|
PP Goal | 8 |
PK Attempt | 33 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 25.8 |
Shots Against | 35.1 |
Goals For | 1.9 |
Goals Against | 3.7 |
Hits | 21.6 |
Shots Blocked | 9.2 |
Pim | 6.6 |
![]() | |
Total Salaries | 70,125,000$ |
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) | 54 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 19 |
LTIR Players | 0 |
Grinders 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 Erne | LW/RW | 29 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | |||||
Alexandre Carrier | D | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||||
Andreas Athanasiou | C/LW/RW | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Anton Forsberg | G | 31 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Bo Horvat | C | 29 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||
Calen Addison | D | 24 | 825,000$ | 825,000$ | 825,000$ | RFA | ||||||
Christian Fischer | C/RW | 27 | 575,000$ | 575,000$ | 575,000$ | 575,000$ | 575,000$ | 575,000$ | UFA | |||
Colin Miller | D | 31 | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | UFA | |||||
Jared Spurgeon | D | 34 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||||
Jesse Puljujarvi | RW | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
John Klingberg | D | 31 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | |||||
Jujhar Khaira | C/LW | 29 | 500,000$ | 500,000$ | 500,000$ | 500,000$ | UFA | |||||
Kurtis MacDermid | LW/D | 30 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | 700,000$ | UFA | ||||
Matt Benning | D | 30 | 625,000$ | 625,000$ | 625,000$ | 625,000$ | 625,000$ | UFA | ||||
Mike Reilly | D | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Nathan Walker | LW | 30 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | |||||
Nick Schmaltz | C/RW | 28 | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | UFA | ||||
Oskar Lindblom | LW/RW | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
Radek Faksa | C | 30 | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | UFA | |||||
Rasmus Kupari | C/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Ryan Lomberg | LW | 29 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | |||
Seth Jones | D | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||||
Thomas Chabot | D | 27 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Victor Olofsson | LW/RW | 28 | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||||
Ville Husso | G | 29 | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Aapo Ahola | D | 24 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | |||
Alex Young | C/LW/RW | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Antti Tuomisto | D | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Ben Jones | C | 25 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Cole Sillinger | C | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Danila Klimovich | C | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Declan Chisholm | D | 24 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Francesco Pinelli | C | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Gianni Fairbrother | D | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Ian Mitchell | D | 25 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Jacob Truscott | D | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Jean-Francois Berube | G | 32 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Joey Daccord | G | 27 | 1,200,000$ | 120,000$ | 120,000$ | 120,000$ | UFA | |||||
Jonathan Gruden | LW | 24 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | |||
Jordy Bellerive | C/LW | 25 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Kristian Vesalainen | LW/RW | 25 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Lawrence Pilut | D | 28 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | |||
Mackenzie Blackwood | G | 27 | 1,400,000$ | 140,000$ | 140,000$ | 140,000$ | 140,000$ | 140,000$ | UFA | |||
Marcus Hogberg | G | 29 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | ||||
Maxence Guenette | D | 23 | 813,333$ | 81,333$ | 81,333$ | RFA | ||||||
Nikita Alexandrov | C/LW | 23 | 816,667$ | 81,667$ | 81,667$ | RFA | ||||||
Olivier Nadeau | C/RW | 21 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Owen Lindmark | C | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Owen Pickering | D | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Ridly Greig | C/LW | 21 | 863,334$ | 86,333$ | 86,333$ | 86,333$ | RFA | |||||
Tyler Tullio | C/RW | 22 | 823,333$ | 82,333$ | 82,333$ | 82,333$ | RFA | |||||
Tyson Foerster | RW | 22 | 863,334$ | 86,333$ | 86,333$ | 86,333$ | RFA | |||||
William Dufour | RW | 22 | 859,167$ | 85,917$ | 85,917$ | 85,917$ | RFA | |||||
Yegor Afanasyev | LW | 23 | 789,167$ | 78,917$ | 78,917$ | 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 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2.50 | 2.50 | 0.00 | 3 | 0.750 | 2.5 | 4.5 | 7.0 | 0 | 0 | 2 | 2 | 0 | 1 | 26.0 | 16 | 16 | 16 | 4 | 38.0 | 10.5 | 9.50 | 22.0 | 2.50 | 1.00 | 40.00% | 3.50 | 0.50 | 85.71% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 23.00 | 15.50 | 25.00 | 7.50 | 13.00 | 6.50 | 42.9% | 9.6% | 93.4% | 103.0 | LUCKY |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0.50 | 5.00 | -4.50 | 0 | 0.000 | 0.5 | 1.0 | 1.5 | 0 | 0 | 1 | 0 | 0 | 0 | 22.0 | 15 | 13 | 16 | 0 | 37.5 | 7.5 | 3.00 | 17.5 | 3.00 | 0.00 | 0.00% | 1.50 | 0.50 | 66.67% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 23.50 | 16.50 | 23.00 | 7.00 | 12.50 | 6.50 | 10.0% | 2.3% | 86.7% | 88.9 | Unlucky |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 5.00 | -3.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 0 | 1 | 0 | 23.0 | 8 | 5 | 10 | 0 | 36.0 | 7.0 | 6.00 | 12.0 | 4.00 | 2.00 | 50.00% | 3.00 | 0.00 | 100.00% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 25.00 | 18.00 | 22.00 | 7.00 | 12.00 | 6.00 | 0.0% | 8.7% | 86.1% | 94.8 | Unlucky |
4 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.50 | -3.00 | 0 | 0.000 | 1.5 | 3.0 | 4.5 | 0 | 0 | 2 | 0 | 1 | 0 | 24.0 | 17 | 18 | 13 | 0 | 33.5 | 10.5 | 8.00 | 26.0 | 3.50 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 22.50 | 15.00 | 24.50 | 7.00 | 12.50 | 6.00 | 30.0% | 6.3% | 86.6% | 92.8 | Unlucky |
5 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3.00 | 2.50 | 0.50 | 3 | 0.750 | 3.0 | 4.5 | 7.5 | 0 | 0 | 1 | 4 | 1 | 0 | 37.0 | 23 | 29 | 22 | 0 | 27.5 | 8.5 | 5.00 | 20.0 | 6.50 | 1.00 | 15.38% | 2.00 | 0.50 | 75.00% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 27.00 | 19.00 | 20.00 | 7.00 | 12.50 | 6.00 | 50.0% | 8.1% | 90.9% | 99.0 | Unlucky |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.50 | -1.50 | 2 | 0.500 | 2.0 | 3.5 | 5.5 | 0 | 0 | 1 | 1 | 2 | 0 | 21.5 | 9 | 19 | 15 | 0 | 38.5 | 10.0 | 8.00 | 27.5 | 2.50 | 1.00 | 40.00% | 4.00 | 2.00 | 50.00% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 22.00 | 14.00 | 25.00 | 7.00 | 12.50 | 6.00 | 40.0% | 9.3% | 90.9% | 100.2 | FUN |
_Vs Division | 11 | 2 | 6 | 0 | 1 | 2 | 0 | 0 | 1.91 | 3.73 | -1.82 | 8 | 0.364 | 1.9 | 3.4 | 5.3 | 0 | 0 | 8 | 7 | 5 | 1 | 25.8 | 88 | 100 | 92 | 4 | 35.1 | 9.2 | 6.64 | 21.6 | 3.64 | 0.73 | 20.00% | 3.00 | 0.82 | 72.73% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 23.91 | 16.36 | 23.55 | 7.27 | 12.91 | 6.45 | 28.9% | 7.4% | 89.4% | 96.8 | Unlucky | |
_Vs Conference | 11 | 2 | 6 | 0 | 1 | 2 | 0 | 0 | 1.91 | 3.73 | -1.82 | 8 | 0.364 | 1.9 | 3.4 | 5.3 | 0 | 0 | 8 | 7 | 5 | 1 | 25.8 | 88 | 100 | 92 | 4 | 35.1 | 9.2 | 6.64 | 21.6 | 3.64 | 0.73 | 20.00% | 3.00 | 0.82 | 72.73% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 23.91 | 16.36 | 23.55 | 7.27 | 12.91 | 6.45 | 28.9% | 7.4% | 89.4% | 96.8 | Unlucky | |
_Since Last GM Reset | 11 | 2 | 6 | 0 | 1 | 2 | 0 | 0 | 1.91 | 3.73 | -1.82 | 8 | 0.364 | 1.9 | 3.4 | 5.3 | 0 | 0 | 8 | 7 | 5 | 1 | 25.8 | 88 | 100 | 92 | 4 | 35.1 | 9.2 | 6.64 | 21.6 | 3.64 | 0.73 | 20.00% | 3.00 | 0.82 | 72.73% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 23.91 | 16.36 | 23.55 | 7.27 | 12.91 | 6.45 | 28.9% | 7.4% | 89.4% | 96.8 | Unlucky | |
Total | 11 | 2 | 6 | 0 | 1 | 2 | 0 | 0 | 1.91 | 3.73 | -1.82 | 8 | 0.364 | 1.9 | 3.4 | 5.3 | 0 | 0 | 8 | 7 | 5 | 1 | 25.8 | 88 | 100 | 92 | 4 | 35.1 | 9.2 | 6.64 | 21.6 | 3.64 | 0.73 | 20.00% | 3.00 | 0.82 | 72.73% | 0 | 193 | 364 | 53.02% | 178 | 368 | 48.37% | 89 | 163 | 54.60% | 23.91 | 16.36 | 23.55 | 7.27 | 12.91 | 6.45 | 28.9% | 7.4% | 89.4% | 96.8 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 364 |
Neutral Zone Start | 163 |
Defensive Zone Start | 368 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 460 |
Faceoffs Lost | 435 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.0 | 9.57 |
2nd Period | 17.1 | 20.31 |
3rd Period | 25.5 | 30.68 |
Overtime | 25.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 1.8 | 2.67 |
Overtime | 1.9 | 2.83 |
Even Strenght Goal | 13 |
---|---|
PP Goal | 8 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 2 |
Lost | 4 | 2 |
Overtime Lost | 1 | 1 |
PP Attempt | 40 |
---|---|
PP Goal | 8 |
PK Attempt | 33 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 25.8 |
Shots Against | 35.1 |
Goals For | 1.9 |
Goals Against | 3.7 |
Hits | 21.6 |
Shots Blocked | 9.2 |
Pim | 6.6 |
Date | Matchup | Result | Detail | |||||||||||
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3 | ![]() | @ | ![]() | KNI3,GRI2 (OT) | RECAP | |||||||||
5 | ![]() | @ | ![]() | GRI4,KNI2 | RECAP | |||||||||
7 | ![]() | @ | ![]() | FRE2,GRI3 (OT) | RECAP | |||||||||
11 | ![]() | @ | ![]() | THU6,GRI0 | RECAP | |||||||||
14 | ![]() | @ | ![]() | GRI2,FRE3 (OT) | RECAP | |||||||||
17 | ![]() | @ | ![]() | GRI3,ROC6 | RECAP | |||||||||
19 | ![]() | @ | ![]() | ROC3,GRI0 | RECAP | |||||||||
22 | ![]() | @ | ![]() | BRA5,GRI2 | RECAP | |||||||||
24 | ![]() | @ | ![]() | GRI1,THU4 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
27 | ![]() | @ | ![]() | HIT5,GRI1 | RECAP | |||||||||
28 | ![]() | @ | ![]() | GRI3,HIT2 | RECAP | |||||||||
30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
70,125,000$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Ottawa | ||
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 |
0 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
70,125,000$ | 70,125,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 73,602,769$ | 73,602,769$ |
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 |
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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 |
---|---|---|---|---|---|
Beau Akey | ![]() | 2023 | 73 | - | Link |
Dean Letourneau | ![]() | 2024 | 31 | 0 | |
Drew Fortescue | ![]() | 2023 | 101 | - | Link |
Gabriel Eliasson | ![]() | 2024 | 59 | 0 | |
Heikki Ruohonen | ![]() | 2024 | 143 | 0 | |
Jacob Julien | ![]() | 2023 | 157 | - | Link |
Jaden Lipinski | ![]() | 2023 | 129 | - | Link |
Jan Golicic | ![]() | 2024 | 171 | 0 | |
Macklin Celebrini | ![]() | 2024 | 1 | 0 | |
Matthew Wood | ![]() | 2023 | 17 | - | Link |
Pavel Moysevich | ![]() | 2024 | 115 | 0 | |
Visa Vedenpaa | ![]() | 2023 | 185 | - | Link |
Will Skahan | ![]() | 2024 | 87 | 0 |
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 |
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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 |
---|---|---|---|---|---|
Beau Akey | ![]() | 2023 | 73 | - | Link |
Dean Letourneau | ![]() | 2024 | 31 | 0 | |
Drew Fortescue | ![]() | 2023 | 101 | - | Link |
Gabriel Eliasson | ![]() | 2024 | 59 | 0 | |
Heikki Ruohonen | ![]() | 2024 | 143 | 0 | |
Jacob Julien | ![]() | 2023 | 157 | - | Link |
Jaden Lipinski | ![]() | 2023 | 129 | - | Link |
Jan Golicic | ![]() | 2024 | 171 | 0 | |
Macklin Celebrini | ![]() | 2024 | 1 | 0 | |
Matthew Wood | ![]() | 2023 | 17 | - | Link |
Pavel Moysevich | ![]() | 2024 | 115 | 0 | |
Visa Vedenpaa | ![]() | 2023 | 185 | - | Link |
Will Skahan | ![]() | 2024 | 87 | 0 |
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