|
|
|
|
|
|
|
|
|
Full Scoreboard ยป |
Anaheim Ducks 2-0-0, 4pts · 2nd in Western Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 100.00 | 60 | 17 | 94 | 86 | 79 | 92 | 94 | 97 | 94 | 99 | 98 | 73 | 79 | 68 | 68 | 87 | 54 | 83 | 24 | 8,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 57 | 14 | 83 | 89 | 79 | 97 | 88 | 93 | 84 | 92 | 95 | 58 | 69 | 73 | 75 | 80 | 54 | 80 | 27 | 6,125,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 62 | 13 | 85 | 86 | 60 | 98 | 81 | 85 | 36 | 89 | 76 | 66 | 89 | 68 | 71 | 80 | 54 | 75 | 32 | 6,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 19 | 70 | 86 | 81 | 90 | 99 | 82 | 81 | 84 | 88 | 35 | 75 | 63 | 64 | 74 | 54 | 73 | 22 | 3,667,065$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 16 | 89 | 73 | 77 | 99 | 94 | 77 | 27 | 77 | 79 | 56 | 61 | 89 | 94 | 82 | 54 | 73 | 35 | 5,875,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 51 | 12 | 89 | 81 | 70 | 94 | 75 | 79 | 34 | 79 | 84 | 57 | 73 | 83 | 88 | 82 | 54 | 73 | 36 | 7,538,461$/2yrs | |||
![]() | 0 | LW | 100.00 | 79 | 22 | 88 | 80 | 74 | 74 | 92 | 72 | 30 | 77 | 81 | 78 | 45 | 68 | 70 | 79 | 54 | 73 | 28 | 4,250,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 58 | 14 | 84 | 76 | 80 | 93 | 69 | 75 | 92 | 68 | 67 | 59 | 59 | 86 | 92 | 72 | 54 | 69 | 35 | 5,272,727$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 22 | 94 | 86 | 72 | 88 | 79 | 70 | 52 | 78 | 80 | 52 | 25 | 61 | 62 | 72 | 54 | 69 | 24 | 3,200,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 66 | 53 | 82 | 67 | 83 | 89 | 77 | 65 | 50 | 60 | 64 | 61 | 63 | 60 | 61 | 15 | 57 | 64 | 35 | 685,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 42 | 82 | 71 | 69 | 94 | 82 | 68 | 50 | 63 | 67 | 49 | 64 | 58 | 58 | 11 | 57 | 64 | 31 | 685,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 11 | 99 | 75 | 66 | 78 | 71 | 55 | 32 | 55 | 58 | 71 | 25 | 61 | 61 | 65 | 54 | 62 | 25 | 685,000$/3yrs | |||
![]() | 0 | D | 100.00 | 72 | 26 | 83 | 84 | 79 | 98 | 94 | 69 | 25 | 67 | 51 | 84 | 25 | 71 | 74 | 70 | 54 | 75 | 31 | 5,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 52 | 12 | 86 | 90 | 68 | 99 | 90 | 97 | 25 | 79 | 60 | 71 | 53 | 69 | 70 | 73 | 54 | 74 | 29 | 5,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 66 | 49 | 58 | 82 | 68 | 89 | 78 | 76 | 25 | 71 | 49 | 76 | 75 | 65 | 65 | 62 | 54 | 70 | 24 | 3,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 52 | 10 | 93 | 81 | 77 | 87 | 76 | 63 | 25 | 53 | 50 | 86 | 25 | 61 | 61 | 56 | 57 | 69 | 23 | 1,525,000$/5yrs | |||
![]() | 0 | D | 100.00 | 58 | 13 | 92 | 72 | 86 | 78 | 85 | 55 | 25 | 50 | 45 | 92 | 25 | 52 | 52 | 58 | 54 | 69 | 23 | 1,250,000$/5yrs | |||
![]() | 0 | D | 100.00 | 84 | 69 | 70 | 68 | 86 | 76 | 59 | 57 | 25 | 40 | 47 | 89 | 25 | 64 | 65 | 59 | 54 | 68 | 31 | 900,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 42 | 9 | 92 | 82 | 68 | 85 | 83 | 81 | 23 | 77 | 61 | 34 | 25 | 60 | 60 | 62 | 51 | 65 | 24 | 1,200,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 16 | 85 | 68 | 82 | 66 | 84 | 60 | 37 | 62 | 57 | 62 | 25 | 68 | 68 | 60 | 51 | 63 | 30 | 685,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 44 | 90 | 79 | 81 | 67 | 57 | 56 | 50 | 56 | 52 | 46 | 55 | 48 | 48 | 59 | 51 | 57 | 21 | 894,167$/1yrs | |||
TEAM AVERAGE | 100.00 | 63 | 24 | 85 | 79 | 75 | 87 | 81 | 73 | 44 | 70 | 67 | 65 | 50 | 66 | 68 | 65 | 54 | 70 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 89 | 89 | 99 | 86 | 91 | 88 | 68 | 92 | 88 | 84 | 82 | 68 | 69 | 81 | 54 | 82 | 27 | 6,400,000$/2yrs |
![]() | 0 | 100.00 | 83 | 77 | 91 | 64 | 94 | 76 | 73 | 84 | 86 | 87 | 81 | 71 | 73 | 84 | 54 | 77 | 35 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 86 | 83 | 95 | 75 | 93 | 82 | 71 | 88 | 87 | 86 | 82 | 70 | 71 | 83 | 54 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jeremy Colliton | 58 | 49 | 92 | 98 | 68 | 55 | 65 | CAN | 36 | 3 | 2,500,000$ |
General Manager | Fred Morier |
---|
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Zach Parise | 0 | LW | 2 | 2 | 1 | 3 | 2 | 2 | 0 | 1 | 8 | 5 | 2 | 25.00% | 0 | 12.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 2.39 | 0 | 0 | |
2 | Pierre-Luc Dubois | 0 | C/LW | 2 | 0 | 2 | 2 | -1 | 0 | 0 | 3 | 5 | 3 | 2 | 0.00% | 0 | 18.99 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 57.50% | 40 | 1 | 0 | 0 | 0 | 1.05 | 0 | 0 | |
3 | Dustin Brown | 0 | LW/RW | 2 | 1 | 1 | 2 | 3 | 0 | 0 | 7 | 3 | 2 | 2 | 33.33% | 0 | 20.14 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.99 | 1 | 1 | |
4 | Mats Zuccarello | 0 | RW | 2 | 2 | 0 | 2 | 1 | 0 | 0 | 2 | 4 | 3 | 10 | 50.00% | 0 | 21.85 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 8 | 0 | 1 | 30.77% | 13 | 2 | 1 | 1 | 0 | 0.92 | 0 | 1 | |
5 | Jonas Siegenthaler | 0 | D | 2 | 0 | 2 | 2 | -1 | 2 | 0 | 1 | 1 | 1 | 0 | 0.00% | 4 | 19.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 1.04 | 0 | 0 | |
6 | Jake Muzzin | 0 | D | 2 | 0 | 1 | 1 | 1 | 4 | 0 | 0 | 1 | 1 | 3 | 0.00% | 3 | 25.66 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 2 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
7 | Jeff Carter | 0 | C/RW | 2 | 0 | 1 | 1 | 2 | 0 | 0 | 1 | 3 | 0 | 4 | 0.00% | 0 | 15.47 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 59.09% | 22 | 1 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
8 | Leon Draisaitl | 0 | C/LW/RW | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 9 | 4 | 4 | 0.00% | 5 | 22.29 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 7 | 0 | 0 | 50.00% | 14 | 1 | 3 | 0 | 0 | 0.45 | 1 | 1 | |
9 | Tyson Barrie | 0 | D | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 5 | 2 | 0 | 20.00% | 4 | 20.11 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.50 | 0 | 0 | |
10 | Tanner Pearson | 0 | LW | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 4 | 1 | 50.00% | 0 | 14.67 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
11 | Adam Cracknell | 0 | RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.42 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
12 | Justin Falk | 0 | D | 2 | 0 | 0 | 0 | 2 | 4 | 0 | 1 | 4 | 0 | 1 | 0.00% | 1 | 18.93 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.00 | 0 | 0 | |
13 | Anthony DeAngelo | 0 | D | 2 | 0 | 0 | 0 | 0 | 8 | 0 | 2 | 4 | 1 | 0 | 0.00% | 2 | 20.25 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
14 | Chris Terry | 0 | LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0.00% | 0 | 5.58 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Mark Scheifele | 0 | C | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 6 | 5 | 2 | 0.00% | 0 | 22.17 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 7 | 0 | 0 | 71.43% | 28 | 1 | 0 | 0 | 0 | 0.00 | 0 | 1 | |
16 | Jacob Larsson | 0 | D | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 2 | 0 | 1 | 0.00% | 4 | 20.87 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Tyler Motte | 0 | LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 1 | 4.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Kasperi Kapanen | 0 | LW/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 12.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 36 | 7 | 9 | 16 | 9 | 20 | 0 | 35 | 58 | 31 | 33 | 12.07% | 24 | 16.55 | 0 | 0 | 0 | 51 | 0 | 0 | 0 | 68 | 1 | 1 | 56.10% | 123 | 10 | 14 | 1 | 0 | 0.54 | 2 | 4 |
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 | Ducks | 2 | 2 | 0 | 0 | 0.923 | 2.40 | 125 | 0 | 1 | 5 | 65 | 34 | 0 | 0 | 0.750 | 4 | 2 | 0 | 1 | 0 | 0 |
Team Total or Average | 2 | 2 | 0 | 0 | 0.923 | 2.40 | 125 | 0 | 1 | 5 | 65 | 34 | 0 | 0 | 0.750 | 4 | 2 | 0 | 1 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 7 | 13 | 0 | 0 | 2 | 2 | 1 | 2 | 32 | 12 | 7 | 8 | 9 | 46 | 16 | 12 | 13 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 21 | 37 | 56.76% | 34 | 51 | 66.67% | 14 | 31 | 45.16% | 18 | 10 | 29 | 10 | 17 | 7 | 54.5% | 18.8% | 89.1% | 107.9 | FUN | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 2 | 4 | 0 | 1 | 0 | 1 | 1 | 0 | 26 | 8 | 15 | 3 | 0 | 19 | 8 | 8 | 22 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 21 | 37 | 56.76% | 34 | 51 | 66.67% | 14 | 31 | 45.16% | 20 | 10 | 19 | 10 | 19 | 9 | 100.0% | 7.7% | 100.0% | 107.7 | DULL | |
_Vs Division | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 9 | 17 | 0 | 1 | 2 | 3 | 2 | 2 | 58 | 20 | 22 | 11 | 9 | 65 | 24 | 20 | 35 | 5 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 21 | 37 | 56.76% | 34 | 51 | 66.67% | 14 | 31 | 45.16% | 39 | 21 | 48 | 20 | 37 | 16 | 61.5% | 13.8% | 92.3% | 106.1 | LUCKY | |
_Vs Conference | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 9 | 17 | 0 | 1 | 2 | 3 | 2 | 2 | 58 | 20 | 22 | 11 | 9 | 65 | 24 | 20 | 35 | 5 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 21 | 37 | 56.76% | 34 | 51 | 66.67% | 14 | 31 | 45.16% | 39 | 21 | 48 | 20 | 37 | 16 | 61.5% | 13.8% | 92.3% | 106.1 | LUCKY | |
_Since Last GM Reset | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 9 | 17 | 0 | 1 | 2 | 3 | 2 | 2 | 58 | 20 | 22 | 11 | 9 | 65 | 24 | 20 | 35 | 5 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 21 | 37 | 56.76% | 34 | 51 | 66.67% | 14 | 31 | 45.16% | 39 | 21 | 48 | 20 | 37 | 16 | 61.5% | 13.8% | 92.3% | 106.1 | LUCKY | |
Total | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 9 | 17 | 0 | 1 | 2 | 3 | 2 | 2 | 58 | 20 | 22 | 11 | 9 | 65 | 24 | 20 | 35 | 5 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 21 | 37 | 56.76% | 34 | 51 | 66.67% | 14 | 31 | 45.16% | 39 | 21 | 48 | 20 | 37 | 16 | 61.5% | 13.8% | 92.3% | 106.1 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 19 |
Neutral Zone | 18 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 37 |
Neutral Zone Start | 31 |
Defensive Zone Start | 51 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 33 |
Faceoffs | |
---|---|
Faceoffs Won | 69 |
Faceoffs Lost | 50 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 26.5 | 30.68 |
Overtime | 31.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.5 | 2.67 |
Overtime | 4.5 | 2.83 |
Even Strenght Goal | 8 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 5 |
---|---|
PP Goal | 0 |
PK Attempt | 10 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 29.0 |
Shots Against | 32.5 |
Goals For | 4.0 |
Goals Against | 2.5 |
Hits | 17.5 |
Shots Blocked | 12.0 |
Pim | 10.0 |
Projected Total Cap Hit | 83,337,420$ |
Projected Cap Space | 3,162,580$ |
Retains And Buyout Cap Hit | 3,000,000$ |
Salary Cap To Date | 2,216,204$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2013-2014 | 2014-2015 | 2015-2016 | 2016-2017 | 2017-2018 | 2018-2019 | 2019-2020 | 2020-2021 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Cracknell ![]() | RW | 35 | 685,000$ | 685,000$ | |||||||
Andreas Martinsen ![]() | LW/RW | 30 | 685,000$ | 685,000$ | |||||||
Anthony DeAngelo ![]() | D | 24 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Chris Terry ![]() | LW/RW | 31 | 685,000$ | 685,000$ | |||||||
Dustin Brown | LW/RW | 35 | 5,875,000$ | 5,875,000$ | |||||||
Jacob Larsson ![]() | D | 23 | 1,525,000$ | 1,525,000$ | 1,525,000$ | 1,525,000$ | 1,525,000$ | 1,525,000$ | |||
Jake Muzzin | D | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | |||||
Jaroslav Halak ![]() | D | 35 | 750,000$ | 750,000$ | |||||||
Jeff Carter | C/RW | 35 | 5,272,727$ | 5,272,727$ | |||||||
John Gibson ![]() | LW | 27 | 6,400,000$ | 6,400,000$ | 6,400,000$ | ||||||
Jonas Siegenthaler ![]() | D | 23 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | |||
Justin Falk ![]() | D | 31 | 900,000$ | 900,000$ | |||||||
Kasperi Kapanen ![]() | LW/RW | 24 | 3,200,000$ | 3,200,000$ | |||||||
Kristian Vesalainen ![]() | LW/RW | 21 | 894,167$ | 894,167$ | |||||||
Leon Draisaitl | C/LW/RW | 24 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | |||||
Mark Scheifele | C | 27 | 6,125,000$ | 6,125,000$ | 6,125,000$ | ||||||
Mats Zuccarello | RW | 32 | 6,000,000$ | 6,000,000$ | 6,000,000$ | ||||||
Nikolay Goldobin ![]() | LW/RW | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||||
Pierre-Luc Dubois ![]() | C/LW | 22 | 3,667,065$ | 3,667,065$ | 3,667,065$ | 3,667,065$ | |||||
Tanner Pearson | LW | 28 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | ||||
Tyler Motte ![]() | LW/RW | 25 | 685,000$ | 685,000$ | 685,000$ | 685,000$ | |||||
Tyson Barrie | D | 29 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | |||||
Zach Parise | LW | 36 | 7,538,461$ | 7,538,461$ | 7,538,461$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
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 |
---|---|---|---|---|---|
Alex Laferriere | 2 | 59 | |||
Dmitri Zlodeyev | 3 | 74 | |||
Eemil Viro | 3 | 50 | |||
Evan Fitzpatrick | 1 | ||||
Jesper Sellgren | 1 | ||||
Kasper Simontaival | 3 | 35 | |||
Logan Cockerill | 1 | ||||
Robbie Fromm-Delorme | 2 | 83 | |||
Topi Niemela | 2 | 35 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2021-03-05 | @ | Ducks2,Golden Knights0 | RECAP | |||||||||||
2021-03-07 | @ | Kings5,Ducks6 (SO) | RECAP | |||||||||||
2021-03-08 | @ | |||||||||||||
2021-03-10 | @ | |||||||||||||
2021-03-12 | @ | |||||||||||||
2021-03-13 | @ | |||||||||||||
2021-03-15 | @ | |||||||||||||
2021-03-17 | @ | |||||||||||||
2021-03-19 | @ | |||||||||||||
2021-03-21 | @ | |||||||||||||
2021-03-22 | @ | |||||||||||||
2021-03-24 | @ | |||||||||||||
2021-03-26 | @ | |||||||||||||
2021-03-28 | @ | |||||||||||||
2021-03-29 | @ | |||||||||||||
2021-03-31 | @ | |||||||||||||
2021-04-02 | @ | |||||||||||||
2021-04-04 | @ | |||||||||||||
2021-04-05 | @ | |||||||||||||
2021-04-07 | @ | |||||||||||||
2021-04-09 | @ | |||||||||||||
2021-04-11 | @ | |||||||||||||
2021-04-13 | @ | |||||||||||||
2021-04-14 | @ | |||||||||||||
2021-04-15 | @ | |||||||||||||
2021-04-17 | @ | |||||||||||||
2021-04-19 | @ | |||||||||||||
2021-04-20 | @ | |||||||||||||
2021-04-22 | @ | |||||||||||||
2021-04-24 | @ | |||||||||||||
2021-04-25 | @ | |||||||||||||
2021-04-27 | @ | |||||||||||||
2021-04-29 | @ | |||||||||||||
2021-04-30 | @ | |||||||||||||
2021-05-02 | @ | |||||||||||||
2021-05-05 | @ | |||||||||||||
2021-05-06 | @ | |||||||||||||
2021-05-07 | @ | |||||||||||||
2021-05-09 | @ | |||||||||||||
2021-05-11 | @ | |||||||||||||
2021-05-12 | @ | |||||||||||||
2021-05-13 | @ | |||||||||||||
2021-05-15 | @ | |||||||||||||
2021-05-17 | @ | |||||||||||||
2021-05-19 | @ | |||||||||||||
2021-05-22 | @ | |||||||||||||
2021-05-23 | @ | |||||||||||||
2021-05-25 | @ | |||||||||||||
2021-05-26 | @ | |||||||||||||
2021-05-28 | @ | |||||||||||||
2021-05-30 | @ | |||||||||||||
2021-06-01 | @ | |||||||||||||
2021-06-02 | @ | |||||||||||||
2021-06-04 | @ | |||||||||||||
2021-06-05 | @ | |||||||||||||
2021-06-08 | @ | |||||||||||||
2021-06-09 | @ | |||||||||||||
2021-06-11 | @ | |||||||||||||
2021-06-13 | @ | |||||||||||||
2021-06-15 | @ | |||||||||||||
2021-06-16 | @ | |||||||||||||
2021-06-18 | @ | |||||||||||||
2021-06-20 | @ | |||||||||||||
2021-06-21 | @ | |||||||||||||
2021-06-24 | @ | |||||||||||||
2021-06-25 | @ | |||||||||||||
2021-06-27 | @ | |||||||||||||
Trade Deadline --- Trades cant be done after this day is simulated! | ||||||||||||||
2021-06-28 | @ | |||||||||||||
2021-07-01 | @ | |||||||||||||
2021-07-03 | @ | |||||||||||||
2021-07-06 | @ | |||||||||||||
2021-07-07 | @ | |||||||||||||
2021-07-09 | @ | |||||||||||||
2021-07-10 | @ | |||||||||||||
2021-07-12 | @ | |||||||||||||
2021-07-13 | @ | |||||||||||||
2021-07-15 | @ | |||||||||||||
2021-07-16 | @ | |||||||||||||
2021-07-18 | @ | |||||||||||||
2021-07-21 | @ | |||||||||||||
2021-07-24 | @ | |||||||||||||
2021-07-25 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,337,420$ | 3,000,000$ | 83,337,420$ | 3,162,580$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Honda Center | |
City | Anaheim | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
Attendance | 4980 | 3593 | 1534 | 3118 | 875 |
Attendance PCT | 83.00% | 71.86% | 76.70% | 77.95% | 87.50% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
40 | 14100 - 78.33% | 4,127,598$ | 4,127,598$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,337,420$ | 80,337,420$ | 0$ | 3,000,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,285,172$ | 80,337,420$ | 2,216,204$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
165,103,920$ | 141 | 571,293$ | 80,552,313$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
83,660,125$ | 83,337,420$ | 218,388,597$ | 316,308,392$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Round 1 | Round 2 | Round 3 | Round 4 |
---|---|---|---|---|
4 | ||||
5 | ||||
6 | ||||
7 | ||||
8 |
|