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Anaheim Ducks 4-2-0, 8pts · 2nd in Western Conference |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex DeBrincat | 0 | LW/RW | 99.00 | 76 | 55 | 72 | 89 | 73 | 89 | 86 | 91 | 55 | 82 | 83 | 68 | 88 | 75 | 65 | 1 | 87 | 0 | 26 | 7,875,000$/4yrs | |||
Ryan O'Reilly | 0 | C | 99.00 | 63 | 45 | 83 | 75 | 81 | 88 | 89 | 81 | 85 | 74 | 76 | 72 | 77 | 89 | 79 | 1 | 87 | 0 | 33 | 6,500,000$/4yrs | |||
Brock McGinn | 0 | LW/RW | 100.00 | 78 | 55 | 85 | 80 | 75 | 84 | 88 | 75 | 50 | 67 | 72 | 76 | 76 | 80 | 70 | 1 | 87 | 0 | 30 | 2,750,000$/2yrs | |||
Robert Thomas | 0 | C/RW | 100.00 | 66 | 45 | 84 | 81 | 88 | 89 | 85 | 86 | 80 | 85 | 77 | 75 | 81 | 70 | 60 | 1 | 82 | 0 | 24 | 8,125,000$/8yrs | |||
Nick Foligno | 0 | C/LW/RW | 99.00 | 83 | 65 | 69 | 73 | 80 | 83 | 92 | 76 | 55 | 75 | 70 | 71 | 73 | 91 | 81 | 1 | 87 | 0 | 36 | 2,500,000$/1yrs | |||
Ondrej Palat | 0 | LW/RW | 99.00 | 74 | 40 | 88 | 74 | 76 | 86 | 86 | 75 | 40 | 75 | 68 | 69 | 72 | 86 | 82 | 1 | 86 | 0 | 33 | 5,000,000$/4yrs | |||
Pierre-Edouard Bellemare | 0 | C/LW | 100.00 | 78 | 60 | 75 | 74 | 74 | 82 | 89 | 71 | 79 | 69 | 64 | 76 | 70 | 83 | 73 | 1 | 87 | 0 | 39 | 950,000$/1yrs | |||
Kevin Labanc | 0 | LW/RW | 100.00 | 76 | 50 | 74 | 77 | 74 | 85 | 87 | 82 | 45 | 76 | 75 | 68 | 78 | 78 | 68 | 1 | 87 | 0 | 28 | 2,499,999$/1yrs | |||
Mark Jankowski | 0 | C/LW | 100.00 | 71 | 45 | 81 | 73 | 85 | 83 | 82 | 72 | 85 | 65 | 67 | 74 | 71 | 78 | 68 | 1 | 87 | 0 | 29 | 750,000$/1yrs | |||
Michael Amadio | 0 | C/LW/RW | 100.00 | 74 | 45 | 89 | 75 | 81 | 82 | 84 | 80 | 53 | 71 | 76 | 70 | 77 | 75 | 65 | 1 | 84 | 0 | 27 | 975,000$/1yrs | |||
Brock Boeser | 0 | RW | 100.00 | 70 | 45 | 82 | 86 | 84 | 87 | 87 | 87 | 50 | 82 | 88 | 74 | 80 | 78 | 68 | 1 | 86 | 0 | 27 | 6,650,000$/2yrs | |||
Mason Appleton | 0 | RW | 100.00 | 64 | 40 | 81 | 73 | 81 | 87 | 75 | 74 | 40 | 71 | 65 | 70 | 71 | 70 | 60 | 1 | 86 | 0 | 28 | 2,166,667$/2yrs | |||
Ian Cole | 0 | D | 100.00 | 75 | 56 | 68 | 75 | 84 | 87 | 93 | 77 | 40 | 74 | 65 | 91 | 72 | 88 | 78 | 1 | 87 | 0 | 35 | 3,500,000$/1yrs | |||
Jared Spurgeon | 0 | D | 99.00 | 68 | 45 | 92 | 95 | 67 | 90 | 93 | 85 | 40 | 78 | 76 | 96 | 85 | 88 | 90 | 1 | 86 | 0 | 34 | 8,000,000$/4yrs | |||
Adam Pelech | 0 | D | 99.00 | 71 | 50 | 71 | 79 | 84 | 92 | 86 | 79 | 40 | 75 | 69 | 89 | 76 | 80 | 70 | 1 | 82 | 0 | 29 | 5,750,000$/6yrs | |||
Shayne Gostisbehere | 0 | D | 100.00 | 69 | 50 | 75 | 87 | 73 | 88 | 89 | 86 | 40 | 79 | 78 | 76 | 84 | 83 | 73 | 1 | 86 | 0 | 31 | 4,125,000$/1yrs | |||
Mario Ferraro | 0 | D | 100.00 | 78 | 45 | 82 | 81 | 84 | 88 | 83 | 75 | 40 | 67 | 66 | 87 | 74 | 65 | 61 | 1 | 87 | 0 | 25 | 3,250,000$/3yrs | |||
Martin Fehervary | 0 | D | 100.00 | 77 | 55 | 72 | 80 | 84 | 88 | 81 | 77 | 40 | 70 | 69 | 78 | 75 | 65 | 55 | 1 | 84 | 0 | 24 | 2,675,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Julien Gauthier | 0 | RW | 100.00 | 83 | 40 | 92 | 72 | 90 | 77 | 81 | 73 | 40 | 65 | 69 | 67 | 71 | 65 | 55 | 1 | 24 | 0 | 26 | 787,500$/2yrs | |||
Paul Cotter (R) | 0 | C/LW | 100.00 | 85 | 55 | 88 | 75 | 88 | 82 | 76 | 75 | 50 | 65 | 73 | 68 | 74 | 58 | 50 | 1 | 73 | 0 | 24 | 775,000$/3yrs | |||
Wyatt Kalynuk | 0 | D | 100.00 | 61 | 60 | 57 | 70 | 62 | 65 | 66 | 62 | 40 | 60 | 54 | 68 | 62 | 54 | 50 | 1 | 23 | 0 | 27 | 775,000$/1yrs | |||
TEAM AVERAGE | 99.71 | 73 | 50 | 79 | 78 | 79 | 85 | 85 | 78 | 52 | 73 | 71 | 75 | 76 | 76 | 68 | 1 | 79 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pheonix Copley | 0 | 100.00 | 83 | 89 | 89 | 84 | 90 | 87 | 83 | 86 | 84 | 87 | 82 | 80 | 73 | 1 | 86 | 0 | 32 | 2,000,000$/1yrs |
Jack Campbell | 0 | 99.00 | 81 | 90 | 91 | 85 | 90 | 83 | 78 | 80 | 80 | 87 | 82 | 85 | 78 | 1 | 87 | 0 | 32 | 5,000,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 82 | 90 | 90 | 85 | 90 | 85 | 81 | 83 | 82 | 87 | 82 | 83 | 76 | 1 | 87 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Boudreau | 90 | 76 | 88 | 86 | 97 | 92 | 1 | CAN | 68 | 1 | 2,700,000$ |
General Manager | Raphael Thibault |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan O'Reilly | Ducks | 0 | C | 6 | 3 | 4 | 7 | 3 | 2 | 0 | 9 | 23 | 8 | 11 | 13.04% | 3 | 18.91 | 1 | 0 | 1 | 8 | 0 | 0 | 0 | 14 | 0 | 0 | 59.26% | 108 | 3 | 1 | 0 | 0 | 1.23 | 0 | 0 | |
2 | Jared Spurgeon | Ducks | 0 | D | 6 | 0 | 6 | 6 | 4 | 0 | 0 | 5 | 15 | 6 | 3 | 0.00% | 11 | 27.81 | 0 | 1 | 1 | 12 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 7 | 10 | 0 | 0 | 0.72 | 0 | 0 | |
3 | Alex DeBrincat | Ducks | 0 | LW/RW | 6 | 3 | 2 | 5 | 4 | 2 | 0 | 18 | 27 | 5 | 14 | 11.11% | 3 | 18.90 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 3 | 2 | 0 | 50.00% | 10 | 10 | 2 | 0 | 0 | 0.88 | 0 | 0 | |
4 | Ian Cole | Ducks | 0 | D | 6 | 0 | 5 | 5 | 3 | 4 | 0 | 7 | 4 | 1 | 4 | 0.00% | 0 | 14.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 1.15 | 0 | 0 | |
5 | Ondrej Palat | Ducks | 0 | LW/RW | 6 | 3 | 2 | 5 | 2 | 0 | 0 | 13 | 11 | 5 | 6 | 27.27% | 2 | 17.65 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 6 | 0 | 0 | 16.67% | 6 | 5 | 2 | 0 | 0 | 0.94 | 0 | 0 | |
6 | Kevin Labanc | Ducks | 0 | LW/RW | 6 | 3 | 2 | 5 | 1 | 0 | 0 | 11 | 17 | 5 | 6 | 17.65% | 0 | 12.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0.00% | 1 | 1 | 2 | 0 | 0 | 1.35 | 0 | 0 | |
7 | Brock Boeser | Ducks | 0 | RW | 6 | 2 | 3 | 5 | 4 | 0 | 0 | 9 | 15 | 2 | 4 | 13.33% | 4 | 17.95 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 6 | 4 | 0 | 0 | 0 | 0.93 | 0 | 0 | |
8 | Nick Foligno | Ducks | 0 | C/LW/RW | 6 | 3 | 1 | 4 | 2 | 4 | 0 | 8 | 18 | 6 | 4 | 16.67% | 0 | 17.10 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 3 | 1 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | |
9 | Brock McGinn | Ducks | 0 | LW/RW | 6 | 1 | 2 | 3 | 0 | 0 | 0 | 4 | 6 | 5 | 8 | 16.67% | 2 | 11.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 2 | 2 | 3 | 0 | 0 | 0.90 | 0 | 0 | |
10 | Shayne Gostisbehere | Ducks | 0 | D | 6 | 1 | 2 | 3 | 0 | 4 | 0 | 7 | 15 | 3 | 3 | 6.67% | 3 | 18.64 | 0 | 1 | 1 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 3 | 0 | 0 | 0.54 | 0 | 0 | |
11 | Mark Jankowski | Ducks | 0 | C/LW | 6 | 1 | 2 | 3 | 2 | 2 | 0 | 3 | 5 | 1 | 2 | 20.00% | 1 | 12.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.27% | 44 | 0 | 1 | 0 | 0 | 0.80 | 0 | 0 | |
12 | Michael Amadio | Ducks | 0 | C/LW/RW | 6 | 1 | 2 | 3 | 1 | 2 | 0 | 6 | 9 | 5 | 5 | 11.11% | 2 | 12.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 2 | 0 | 0 | 0.80 | 0 | 0 | |
13 | Robert Thomas | Ducks | 0 | C/RW | 6 | 1 | 1 | 2 | 4 | 0 | 0 | 7 | 5 | 2 | 9 | 20.00% | 4 | 18.50 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 1 | 0 | 0 | 60.42% | 144 | 3 | 2 | 0 | 0 | 0.36 | 0 | 0 | |
14 | Pierre-Edouard Bellemare | Ducks | 0 | C/LW | 6 | 1 | 1 | 2 | -1 | 2 | 0 | 5 | 6 | 1 | 5 | 16.67% | 2 | 9.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 1 | 39.13% | 23 | 1 | 1 | 0 | 0 | 0.68 | 0 | 0 | |
15 | Adam Pelech | Ducks | 0 | D | 6 | 0 | 1 | 1 | 4 | 2 | 0 | 8 | 5 | 1 | 5 | 0.00% | 13 | 26.57 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 3 | 8 | 0 | 0 | 0.13 | 0 | 0 | |
16 | Martin Fehervary | Ducks | 0 | D | 6 | 0 | 1 | 1 | 2 | 2 | 0 | 7 | 4 | 0 | 0 | 0.00% | 7 | 14.52 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.23 | 0 | 0 | |
17 | Mason Appleton | Ducks | 0 | RW | 6 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 6 | 0 | 4 | 0.00% | 0 | 8.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.40 | 0 | 0 | |
18 | Mario Ferraro | Ducks | 0 | D | 6 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 3 | 1 | 1 | 0.00% | 6 | 18.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 6 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 108 | 23 | 38 | 61 | 35 | 26 | 0 | 138 | 194 | 57 | 94 | 11.86% | 63 | 16.43 | 1 | 2 | 3 | 99 | 0 | 0 | 0 | 103 | 4 | 2 | 55.71% | 350 | 41 | 47 | 0 | 0 | 0.69 | 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 | Jack Campbell | Ducks | 6 | 4 | 2 | 0 | 0.919 | 2.52 | 357 | 0 | 0 | 15 | 186 | 95 | 1 | 0 | 0.000 | 0 | 6 | 0 | 0 | 1 | 0 |
Team Total or Average | 6 | 4 | 2 | 0 | 0.919 | 2.52 | 357 | 0 | 0 | 15 | 186 | 95 | 1 | 0 | 0.000 | 0 | 6 | 0 | 0 | 1 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Golden Knights | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 33 | 12 | 14 | 7 | 0 | 28 | 19 | 6 | 21 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 72 | 137 | 52.55% | 79 | 126 | 62.70% | 44 | 87 | 50.57% | 22 | 14 | 21 | 8 | 15 | 8 | 42.9% | 9.1% | 85.7% | 94.8 | FUN |
2 | Sharks | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 20 | 11 | 9 | 8 | 0.800 | 20 | 34 | 54 | 0 | 0 | 7 | 4 | 9 | 0 | 161 | 55 | 48 | 58 | 0 | 158 | 44 | 20 | 117 | 8 | 1 | 12.50% | 10 | 0 | 100.00% | 0 | 72 | 137 | 52.55% | 79 | 126 | 62.70% | 44 | 87 | 50.57% | 101 | 59 | 114 | 42 | 83 | 41 | 63.3% | 12.4% | 93.0% | 105.5 | LUCKY |
_Vs Division | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 15 | 8 | 8 | 0.667 | 23 | 38 | 61 | 0 | 0 | 8 | 5 | 10 | 0 | 194 | 67 | 62 | 65 | 0 | 186 | 63 | 26 | 138 | 11 | 1 | 9.09% | 13 | 0 | 100.00% | 0 | 72 | 137 | 52.55% | 79 | 126 | 62.70% | 44 | 87 | 50.57% | 124 | 73 | 135 | 51 | 99 | 49 | 59.5% | 11.9% | 91.9% | 103.8 | LUCKY | |
_Vs Conference | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 15 | 8 | 8 | 0.667 | 23 | 38 | 61 | 0 | 0 | 8 | 5 | 10 | 0 | 194 | 67 | 62 | 65 | 0 | 186 | 63 | 26 | 138 | 11 | 1 | 9.09% | 13 | 0 | 100.00% | 0 | 72 | 137 | 52.55% | 79 | 126 | 62.70% | 44 | 87 | 50.57% | 124 | 73 | 135 | 51 | 99 | 49 | 59.5% | 11.9% | 91.9% | 103.8 | LUCKY | |
_Since Last GM Reset | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 15 | 8 | 8 | 0.667 | 23 | 38 | 61 | 0 | 0 | 8 | 5 | 10 | 0 | 194 | 67 | 62 | 65 | 0 | 186 | 63 | 26 | 138 | 11 | 1 | 9.09% | 13 | 0 | 100.00% | 0 | 72 | 137 | 52.55% | 79 | 126 | 62.70% | 44 | 87 | 50.57% | 124 | 73 | 135 | 51 | 99 | 49 | 59.5% | 11.9% | 91.9% | 103.8 | LUCKY | |
Total | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 15 | 8 | 8 | 0.667 | 23 | 38 | 61 | 0 | 0 | 8 | 5 | 10 | 0 | 194 | 67 | 62 | 65 | 0 | 186 | 63 | 26 | 138 | 11 | 1 | 9.09% | 13 | 0 | 100.00% | 0 | 72 | 137 | 52.55% | 79 | 126 | 62.70% | 44 | 87 | 50.57% | 124 | 73 | 135 | 51 | 99 | 49 | 59.5% | 11.9% | 91.9% | 103.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 137 |
Neutral Zone Start | 87 |
Defensive Zone Start | 126 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 195 |
Faceoffs Lost | 155 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.2 | 9.57 |
2nd Period | 21.5 | 20.31 |
3rd Period | 32.3 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 22 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 1 |
Lost | 0 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 11 |
---|---|
PP Goal | 1 |
PK Attempt | 13 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 32.3 |
Shots Against | 31.0 |
Goals For | 3.8 |
Goals Against | 2.5 |
Hits | 23.0 |
Shots Blocked | 10.5 |
Pim | 4.3 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 85,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Ducks Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech | D | 29 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |
Alex DeBrincat | LW/RW | 26 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | RFA | |||
Brock Boeser | RW | 27 | 6,650,000$ | 6,650,000$ | 6,650,000$ | RFA | |||||
Brock McGinn | LW/RW | 30 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Ian Cole | D | 35 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Jack Campbell | G | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Jared Spurgeon | D | 34 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||
Julien Gauthier | RW | 26 | 787,500$ | 787,500$ | 787,500$ | RFA | |||||
Kevin Labanc | LW/RW | 28 | 2,499,999$ | 2,499,999$ | RFA | ||||||
Mario Ferraro | D | 25 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | RFA | ||||
Mark Jankowski | C/LW | 29 | 750,000$ | 750,000$ | RFA | ||||||
Martin Fehervary | D | 24 | 2,675,000$ | 2,675,000$ | 2,675,000$ | 2,675,000$ | RFA | ||||
Mason Appleton | RW | 28 | 2,166,667$ | 2,166,667$ | 2,166,667$ | RFA | |||||
Michael Amadio | C/LW/RW | 27 | 975,000$ | 975,000$ | RFA | ||||||
Nick Foligno | C/LW/RW | 36 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Ondrej Palat | LW/RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Paul Cotter | C/LW | 24 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | RFA | ||||
Pheonix Copley | G | 32 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Pierre-Edouard Bellemare | C/LW | 39 | 950,000$ | 950,000$ | UFA | ||||||
Robert Thomas | C/RW | 24 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ |
Ryan O'Reilly | C | 33 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |||
Shayne Gostisbehere | D | 31 | 4,125,000$ | 4,125,000$ | UFA | ||||||
Wyatt Kalynuk | D | 27 | 775,000$ | 775,000$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
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Calvin Pickard | G | 32 | 0$ | 750,000$ | UFA | ||||||
Joe Snively | LW | 28 | 800,000$ | 800,000$ | RFA |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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Goalies | |||||||
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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 |
# | 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 |
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1 | Golden Knights | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 33 | 12 | 14 | 7 | 0 | 28 | 19 | 6 | 21 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 72 | 137 | 52.55% | 79 | 126 | 62.70% | 44 | 87 | 50.57% | 22 | 14 | 21 | 8 | 15 | 8 | 42.9% | 9.1% | 85.7% | 94.8 | FUN |
2 | Sharks | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 20 | 11 | 9 | 8 | 0.800 | 20 | 34 | 54 | 0 | 0 | 7 | 4 | 9 | 0 | 161 | 55 | 48 | 58 | 0 | 158 | 44 | 20 | 117 | 8 | 1 | 12.50% | 10 | 0 | 100.00% | 0 | 72 | 137 | 52.55% | 79 | 126 | 62.70% | 44 | 87 | 50.57% | 101 | 59 | 114 | 42 | 83 | 41 | 63.3% | 12.4% | 93.0% | 105.5 | LUCKY |
_Vs Division | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 15 | 8 | 8 | 0.667 | 23 | 38 | 61 | 0 | 0 | 8 | 5 | 10 | 0 | 194 | 67 | 62 | 65 | 0 | 186 | 63 | 26 | 138 | 11 | 1 | 9.09% | 13 | 0 | 100.00% | 0 | 72 | 137 | 52.55% | 79 | 126 | 62.70% | 44 | 87 | 50.57% | 124 | 73 | 135 | 51 | 99 | 49 | 59.5% | 11.9% | 91.9% | 103.8 | LUCKY | |
_Vs Conference | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 15 | 8 | 8 | 0.667 | 23 | 38 | 61 | 0 | 0 | 8 | 5 | 10 | 0 | 194 | 67 | 62 | 65 | 0 | 186 | 63 | 26 | 138 | 11 | 1 | 9.09% | 13 | 0 | 100.00% | 0 | 72 | 137 | 52.55% | 79 | 126 | 62.70% | 44 | 87 | 50.57% | 124 | 73 | 135 | 51 | 99 | 49 | 59.5% | 11.9% | 91.9% | 103.8 | LUCKY | |
_Since Last GM Reset | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 15 | 8 | 8 | 0.667 | 23 | 38 | 61 | 0 | 0 | 8 | 5 | 10 | 0 | 194 | 67 | 62 | 65 | 0 | 186 | 63 | 26 | 138 | 11 | 1 | 9.09% | 13 | 0 | 100.00% | 0 | 72 | 137 | 52.55% | 79 | 126 | 62.70% | 44 | 87 | 50.57% | 124 | 73 | 135 | 51 | 99 | 49 | 59.5% | 11.9% | 91.9% | 103.8 | LUCKY | |
Total | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 15 | 8 | 8 | 0.667 | 23 | 38 | 61 | 0 | 0 | 8 | 5 | 10 | 0 | 194 | 67 | 62 | 65 | 0 | 186 | 63 | 26 | 138 | 11 | 1 | 9.09% | 13 | 0 | 100.00% | 0 | 72 | 137 | 52.55% | 79 | 126 | 62.70% | 44 | 87 | 50.57% | 124 | 73 | 135 | 51 | 99 | 49 | 59.5% | 11.9% | 91.9% | 103.8 | LUCKY |
Puck Time | |
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Offensive Zone | 20 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 137 |
Neutral Zone Start | 87 |
Defensive Zone Start | 126 |
Puck Time | |
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With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 195 |
Faceoffs Lost | 155 |
Team Average Shots after | League Average Shots after | |
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1st Period | 11.2 | 9.57 |
2nd Period | 21.5 | 20.31 |
3rd Period | 32.3 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 22 |
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PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 3 | 1 |
Lost | 0 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 11 |
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PP Goal | 1 |
PK Attempt | 13 |
PK Goal Against | 0 |
Home | |
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Shots For | 32.3 |
Shots Against | 31.0 |
Goals For | 3.8 |
Goals Against | 2.5 |
Hits | 23.0 |
Shots Blocked | 10.5 |
Pim | 4.3 |
Date | Matchup | Result | Detail | |||||||||||
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2024-04-19 | SJS | VS | ANA | SJS2,ANA4 | RECAP | |||||||||
2024-04-21 | SJS | VS | ANA | SJS2,ANA4 | RECAP | |||||||||
2024-04-23 | ANA | VS | SJS | ANA2,SJS3 | RECAP | |||||||||
2024-04-25 | ANA | VS | SJS | ANA7,SJS3 | RECAP | |||||||||
2024-04-27 | SJS | VS | ANA | SJS1,ANA3 | RECAP | |||||||||
2024-05-03 | ANA | VS | VGS | ANA3,VGS4 | RECAP | |||||||||
2024-05-05 | ANA | VS | VGS | |||||||||||
2024-05-07 | VGS | VS | ANA | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-05-09 | VGS | VS | ANA | |||||||||||
2024-05-11 | ANA | VS | VGS | |||||||||||
2024-05-13 | VGS | VS | ANA | |||||||||||
2024-05-15 | ANA | VS | VGS |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,129,166$ | 0$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Honda Center | ||
City | Anaheim | ||
Capacity | 17565 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5060 | 1615 | 3700 | 1190 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 16806 | 14712 | 4845 | 10852 | 3570 |
Attendance PCT | 93.37% | 96.92% | 100.00% | 97.77% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 16928 - 96.38% | 2,163,302$ | 6,489,906$ | 17565 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,129,166$ | 84,129,166$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 94,440,087$ | 94,440,087$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 |
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 |
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Maxim Beryozkin | Ducks |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 |
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 |
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Maxim Beryozkin | Ducks |
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