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Anaheim Ducks 1-2-0, 2pts · 13th 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 | 100.00 | 72 | 63 | 76 | 90 | 73 | 88 | 87 | 90 | 50 | 83 | 82 | 72 | 87 | 78 | 68 | 1 | 79 | 0 | 26 | 7,875,000$/3yrs | |||
Steven Stamkos | 0 | C/LW | 99.00 | 70 | 40 | 76 | 85 | 76 | 87 | 94 | 92 | 86 | 83 | 92 | 68 | 90 | 91 | 93 | 1 | 79 | 0 | 34 | 8,000,000$/2yrs | |||
Boone Jenner | 0 | C/LW | 100.00 | 75 | 40 | 79 | 75 | 82 | 90 | 89 | 83 | 82 | 73 | 79 | 75 | 79 | 86 | 88 | 1 | 79 | 0 | 31 | 3,750,000$/2yrs | |||
Ryan Donato | 0 | C/LW/RW | 100.00 | 79 | 63 | 84 | 76 | 76 | 84 | 87 | 82 | 69 | 76 | 72 | 72 | 77 | 78 | 68 | 1 | 81 | 0 | 28 | 2,050,000$/1yrs | |||
Max Jones | 0 | LW/RW | 100.00 | 81 | 55 | 70 | 72 | 87 | 82 | 81 | 73 | 50 | 70 | 65 | 67 | 70 | 75 | 65 | 1 | 81 | 0 | 26 | 1,000,000$/2yrs | |||
Pierre Engvall | 0 | LW/RW | 100.00 | 67 | 45 | 91 | 72 | 86 | 86 | 85 | 80 | 50 | 76 | 70 | 68 | 74 | 70 | 60 | 1 | 81 | 0 | 28 | 2,495,000$/6yrs | |||
Mats Zuccarello | 0 | LW/RW | 100.00 | 66 | 40 | 77 | 76 | 69 | 87 | 92 | 87 | 50 | 87 | 72 | 71 | 78 | 89 | 79 | 1 | 79 | 0 | 37 | 4,125,000$/2yrs | |||
Tomas Hertl | 0 | C/LW | 100.00 | 68 | 45 | 81 | 75 | 85 | 90 | 86 | 82 | 89 | 77 | 76 | 72 | 78 | 86 | 76 | 1 | 76 | 0 | 30 | 8,176,000$/4yrs | |||
Ryan Hartman | 0 | C/RW | 100.00 | 74 | 42 | 66 | 82 | 78 | 86 | 90 | 86 | 72 | 78 | 79 | 75 | 82 | 85 | 75 | 1 | 79 | 0 | 30 | 5,000,000$/3yrs | |||
Paul Cotter | 0 | C/LW/RW | 100.00 | 88 | 40 | 73 | 74 | 86 | 82 | 80 | 75 | 50 | 76 | 67 | 72 | 72 | 60 | 50 | 1 | 81 | 0 | 24 | 775,000$/2yrs | |||
Brock Boeser | 0 | RW | 99.00 | 69 | 45 | 93 | 86 | 82 | 89 | 88 | 90 | 55 | 80 | 92 | 73 | 89 | 80 | 70 | 1 | 79 | 0 | 27 | 6,650,000$/1yrs | |||
Mason Appleton | 0 | LW/RW | 100.00 | 75 | 40 | 84 | 79 | 79 | 87 | 86 | 82 | 55 | 77 | 74 | 78 | 78 | 75 | 65 | 1 | 81 | 0 | 28 | 2,166,667$/1yrs | |||
Christopher Tanev | 0 | D | 99.00 | 69 | 45 | 86 | 84 | 77 | 91 | 94 | 74 | 40 | 76 | 64 | 96 | 74 | 89 | 79 | 1 | 79 | 0 | 34 | 2,400,000$/4yrs | |||
Jared Spurgeon | 0 | D | 100.00 | 69 | 40 | 75 | 75 | 66 | 92 | 79 | 71 | 40 | 74 | 68 | 84 | 67 | 89 | 91 | 1 | 79 | 0 | 34 | 8,000,000$/3yrs | |||
Adam Pelech | 0 | D | 100.00 | 69 | 55 | 80 | 75 | 84 | 90 | 87 | 74 | 40 | 75 | 62 | 83 | 70 | 83 | 73 | 1 | 79 | 0 | 30 | 5,750,000$/5yrs | |||
Sean Walker | 0 | D | 100.00 | 76 | 42 | 70 | 92 | 76 | 89 | 86 | 84 | 40 | 76 | 75 | 94 | 84 | 75 | 65 | 1 | 79 | 0 | 29 | 4,500,000$/5yrs | |||
Jake McCabe | 0 | D | 100.00 | 78 | 65 | 69 | 85 | 83 | 92 | 91 | 78 | 40 | 77 | 73 | 90 | 79 | 86 | 76 | 1 | 81 | 0 | 31 | 2,000,000$/1yrs | |||
Martin Fehervary | 0 | D | 100.00 | 76 | 45 | 83 | 75 | 82 | 88 | 83 | 74 | 40 | 73 | 65 | 80 | 71 | 70 | 60 | 1 | 79 | 0 | 25 | 2,675,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.83 | 73 | 47 | 79 | 79 | 79 | 88 | 87 | 81 | 55 | 77 | 74 | 77 | 78 | 80 | 72 | 1 | 80 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dan Vladar | 0 | 100.00 | 80 | 79 | 78 | 88 | 79 | 75 | 73 | 72 | 75 | 79 | 73 | 65 | 58 | 1 | 81 | 0 | 27 | 2,200,000$/1yrs |
John Gibson | 0 | 99.00 | 83 | 92 | 94 | 84 | 91 | 83 | 77 | 78 | 80 | 89 | 85 | 86 | 79 | 1 | 79 | 0 | 31 | 6,400,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 82 | 86 | 86 | 86 | 85 | 79 | 75 | 75 | 78 | 84 | 79 | 76 | 69 | 1 | 80 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Tortorella | 95 | 85 | 80 | 85 | 99 | 95 | 1 | USA | 65 | 3 | 1,000,000$ |
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 | Steven Stamkos | Ducks | 0 | C/LW | 3 | 1 | 3 | 4 | 0 | 2 | 0 | 8 | 14 | 2 | 6 | 7.14% | 1 | 20.54 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 58.97% | 78 | 0 | 4 | 0 | 0 | 1.30 | 0 | 0 | |
2 | Mats Zuccarello | Ducks | 0 | LW/RW | 3 | 2 | 2 | 4 | 0 | 0 | 0 | 9 | 7 | 1 | 2 | 28.57% | 0 | 19.58 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 4 | 1 | 1 | 0 | 0 | 1.36 | 0 | 0 | |
3 | Ryan Donato | Ducks | 0 | C/LW/RW | 3 | 1 | 2 | 3 | 0 | 0 | 0 | 4 | 5 | 4 | 5 | 20.00% | 0 | 12.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 1.59 | 0 | 0 | |
4 | Brock Boeser | Ducks | 0 | RW | 3 | 1 | 2 | 3 | 0 | 0 | 0 | 6 | 12 | 3 | 3 | 8.33% | 1 | 21.24 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 4 | 0 | 1 | 28.57% | 14 | 6 | 1 | 0 | 0 | 0.94 | 0 | 0 | |
5 | Christopher Tanev | Ducks | 0 | D | 3 | 0 | 2 | 2 | -4 | 0 | 0 | 2 | 5 | 2 | 0 | 0.00% | 6 | 26.86 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 1 | 4 | 0 | 0 | 0.50 | 0 | 0 | |
6 | Boone Jenner | Ducks | 0 | C/LW | 3 | 1 | 1 | 2 | 0 | 2 | 0 | 5 | 8 | 1 | 3 | 12.50% | 0 | 14.77 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 1 | 0 | 35.71% | 42 | 2 | 0 | 0 | 0 | 0.90 | 0 | 0 | |
7 | Mason Appleton | Ducks | 0 | LW/RW | 3 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 7 | 2 | 2 | 14.29% | 0 | 15.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 1 | 1 | 1 | 0 | 0 | 0.89 | 0 | 0 | |
8 | Alex DeBrincat | Ducks | 0 | LW/RW | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 8 | 10 | 3 | 4 | 0.00% | 0 | 16.34 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 1 | 3 | 1 | 0 | 0 | 0.41 | 0 | 0 | |
9 | Max Jones | Ducks | 0 | LW/RW | 3 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 0.00% | 3 | 7.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.92 | 0 | 0 | |
10 | Pierre Engvall | Ducks | 0 | LW/RW | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 3 | 2 | 4 | 33.33% | 0 | 7.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | |
11 | Adam Pelech | Ducks | 0 | D | 3 | 0 | 1 | 1 | 4 | 0 | 0 | 5 | 1 | 1 | 0 | 0.00% | 4 | 15.84 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.42 | 0 | 0 | |
12 | Jake McCabe | Ducks | 0 | D | 3 | 0 | 1 | 1 | 2 | 6 | 0 | 11 | 2 | 1 | 0 | 0.00% | 2 | 19.67 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 2 | 2 | 0 | 0 | 0.34 | 0 | 0 | |
13 | Ryan Hartman | Ducks | 0 | C/RW | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 1 | 4 | 20.00% | 1 | 16.73 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 2 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
14 | Jared Spurgeon | Ducks | 0 | D | 3 | 0 | 0 | 0 | 2 | 2 | 0 | 4 | 5 | 2 | 4 | 0.00% | 2 | 20.48 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Sean Walker | Ducks | 0 | D | 3 | 0 | 0 | 0 | -5 | 2 | 0 | 7 | 4 | 3 | 2 | 0.00% | 5 | 23.87 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 1 | 4 | 0 | 0 | 0.00 | 0 | 0 | |
16 | Tomas Hertl | Ducks | 0 | C/LW | 3 | 0 | 0 | 0 | 0 | 7 | 5 | 1 | 1 | 1 | 3 | 0.00% | 0 | 14.96 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 58.54% | 41 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Martin Fehervary | Ducks | 0 | D | 3 | 0 | 0 | 0 | 1 | 2 | 0 | 3 | 0 | 0 | 0 | 0.00% | 1 | 12.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Paul Cotter | Ducks | 0 | C/LW/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 0 | 0.00% | 0 | 7.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 54 | 9 | 17 | 26 | 0 | 25 | 5 | 90 | 92 | 29 | 44 | 9.78% | 26 | 16.27 | 1 | 2 | 3 | 50 | 0 | 0 | 0 | 66 | 1 | 1 | 50.00% | 188 | 20 | 22 | 0 | 0 | 0.59 | 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 | John Gibson | Ducks | 3 | 1 | 2 | 0 | 0.908 | 3.00 | 180 | 0 | 0 | 9 | 98 | 32 | 0 | 0 | 0.000 | 0 | 3 | 0 | 0 | 0 | 0 |
Team Total or Average | 3 | 1 | 2 | 0 | 0.908 | 3.00 | 180 | 0 | 0 | 9 | 98 | 32 | 0 | 0 | 0.000 | 0 | 3 | 0 | 0 | 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 | Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 16 | 12 | 8 | 0 | 29 | 7 | 8 | 37 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 24 | 14 | 18 | 8 | 17 | 9 | 40.0% | 5.6% | 86.2% | 91.8 | Unlucky |
2 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 21 | 13 | 7 | 1 | 0 | 39 | 11 | 7 | 21 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 19 | 11 | 22 | 8 | 17 | 8 | 20.0% | 9.5% | 89.7% | 99.3 | FUN |
3 | Golden Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 0 | 1 | 4 | 0 | 35 | 11 | 10 | 14 | 0 | 30 | 8 | 10 | 32 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 20 | 13 | 24 | 8 | 14 | 6 | 83.3% | 14.3% | 96.7% | 111.0 | LUCKY |
_Vs Division | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 0 | 3 | 4 | 0 | 56 | 24 | 17 | 15 | 0 | 69 | 19 | 17 | 53 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 40 | 24 | 47 | 17 | 32 | 15 | 54.5% | 12.5% | 92.8% | 105.3 | LUCKY | |
_Vs Conference | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 1 | 3 | 5 | 0 | 92 | 40 | 29 | 23 | 0 | 98 | 26 | 25 | 90 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 65 | 39 | 65 | 25 | 49 | 24 | 50.0% | 9.8% | 90.8% | 100.6 | FUN | |
_Since Last GM Reset | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 1 | 3 | 5 | 0 | 92 | 40 | 29 | 23 | 0 | 98 | 26 | 25 | 90 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 65 | 39 | 65 | 25 | 49 | 24 | 50.0% | 9.8% | 90.8% | 100.6 | FUN | |
Total | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 1 | 3 | 5 | 0 | 92 | 40 | 29 | 23 | 0 | 98 | 26 | 25 | 90 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 65 | 39 | 65 | 25 | 49 | 24 | 50.0% | 9.8% | 90.8% | 100.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 62 |
Neutral Zone Start | 42 |
Defensive Zone Start | 84 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 94 |
Faceoffs Lost | 94 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.3 | 9.57 |
2nd Period | 23.0 | 20.31 |
3rd Period | 30.7 | 30.68 |
Overtime | 30.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 8 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 1 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 7 |
---|---|
PP Goal | 1 |
PK Attempt | 10 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 30.7 |
Shots Against | 32.7 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 30.0 |
Shots Blocked | 8.7 |
Pim | 8.3 |
Projected Total Cap Hit | 86,237,667$ |
Projected Cap Space | 1,762,333$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 3,208,840$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Ducks Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech | D | 30 | 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$ | RFA | ||||
Boone Jenner | C/LW | 31 | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA | |||||
Brock Boeser | RW | 27 | 6,650,000$ | 6,650,000$ | RFA | ||||||
Christopher Tanev | D | 34 | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | UFA | |||
Dan Vladar | G | 27 | 2,200,000$ | 2,200,000$ | RFA | ||||||
Jake McCabe | D | 31 | 2,000,000$ | 2,000,000$ | RFA | ||||||
Jared Spurgeon | D | 34 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||
John Gibson | G | 31 | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | UFA | ||||
Martin Fehervary | D | 25 | 2,675,000$ | 2,675,000$ | 2,675,000$ | RFA | |||||
Mason Appleton | LW/RW | 28 | 2,166,667$ | 2,166,667$ | RFA | ||||||
Mats Zuccarello | LW/RW | 37 | 4,125,000$ | 4,125,000$ | 4,125,000$ | UFA | |||||
Max Jones | LW/RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Paul Cotter | C/LW/RW | 24 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Pierre Engvall | LW/RW | 28 | 2,495,000$ | 2,495,000$ | 2,495,000$ | 2,495,000$ | 2,495,000$ | 2,495,000$ | 2,495,000$ | UFA | |
Ryan Donato | C/LW/RW | 28 | 2,050,000$ | 2,050,000$ | RFA | ||||||
Ryan Hartman | C/RW | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Sean Walker | D | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||
Steven Stamkos | C/LW | 34 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Tomas Hertl | C/LW | 30 | 8,176,000$ | 8,176,000$ | 8,176,000$ | 8,176,000$ | 8,176,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Brock McGinn | LW/RW | 30 | 250,000$ | 2,750,000$ | RFA | ||||||
Julien Gauthier | RW | 26 | 787,500$ | 787,500$ | RFA | ||||||
Rasmus Ristolainen | D | 29 | 2,495,000$ | 2,495,000$ | 2,495,000$ | 2,495,000$ | UFA | ||||
Valtteri Puustinen | LW/RW | 25 | 775,000$ | 775,000$ | 775,000$ | RFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd 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 | Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 16 | 12 | 8 | 0 | 29 | 7 | 8 | 37 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 24 | 14 | 18 | 8 | 17 | 9 | 40.0% | 5.6% | 86.2% | 91.8 | Unlucky |
2 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 21 | 13 | 7 | 1 | 0 | 39 | 11 | 7 | 21 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 19 | 11 | 22 | 8 | 17 | 8 | 20.0% | 9.5% | 89.7% | 99.3 | FUN |
3 | Golden Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 0 | 1 | 4 | 0 | 35 | 11 | 10 | 14 | 0 | 30 | 8 | 10 | 32 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 20 | 13 | 24 | 8 | 14 | 6 | 83.3% | 14.3% | 96.7% | 111.0 | LUCKY |
_Vs Division | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 0 | 3 | 4 | 0 | 56 | 24 | 17 | 15 | 0 | 69 | 19 | 17 | 53 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 40 | 24 | 47 | 17 | 32 | 15 | 54.5% | 12.5% | 92.8% | 105.3 | LUCKY | |
_Vs Conference | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 1 | 3 | 5 | 0 | 92 | 40 | 29 | 23 | 0 | 98 | 26 | 25 | 90 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 65 | 39 | 65 | 25 | 49 | 24 | 50.0% | 9.8% | 90.8% | 100.6 | FUN | |
_Since Last GM Reset | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 1 | 3 | 5 | 0 | 92 | 40 | 29 | 23 | 0 | 98 | 26 | 25 | 90 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 65 | 39 | 65 | 25 | 49 | 24 | 50.0% | 9.8% | 90.8% | 100.6 | FUN | |
Total | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 1 | 3 | 5 | 0 | 92 | 40 | 29 | 23 | 0 | 98 | 26 | 25 | 90 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 25 | 62 | 40.32% | 46 | 84 | 54.76% | 23 | 42 | 54.76% | 65 | 39 | 65 | 25 | 49 | 24 | 50.0% | 9.8% | 90.8% | 100.6 | FUN |
Puck Time | |
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Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
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Offensive Zone Start | 62 |
Neutral Zone Start | 42 |
Defensive Zone Start | 84 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 94 |
Faceoffs Lost | 94 |
Team Average Shots after | League Average Shots after | |
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1st Period | 13.3 | 9.57 |
2nd Period | 23.0 | 20.31 |
3rd Period | 30.7 | 30.68 |
Overtime | 30.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
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1st Period | 0.3 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 8 |
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PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 1 | 0 |
Lost | 1 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 7 |
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PP Goal | 1 |
PK Attempt | 10 |
PK Goal Against | 1 |
Home | |
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Shots For | 30.7 |
Shots Against | 32.7 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 30.0 |
Shots Blocked | 8.7 |
Pim | 8.3 |
Date | Matchup | Result | Detail | |||||||||||
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2024-10-04 | ANA | VS | VAN | ANA2,VAN4 | RECAP | |||||||||
2024-10-08 | MIN | VS | ANA | MIN4,ANA2 | RECAP | |||||||||
2024-10-11 | VGS | VS | ANA | VGS1,ANA5 | RECAP | |||||||||
2024-10-14 | SJS | VS | ANA | |||||||||||
2024-10-17 | ANA | VS | SEA | |||||||||||
2024-10-19 | ANA | VS | VAN | |||||||||||
2024-10-21 | SJS | VS | ANA | |||||||||||
2024-10-23 | ANA | VS | UTH | |||||||||||
2024-10-25 | EDM | VS | ANA | |||||||||||
2024-10-28 | ANA | VS | VGS | |||||||||||
2024-10-30 | DET | VS | ANA | |||||||||||
2024-11-01 | ANA | VS | SJS | |||||||||||
2024-11-06 | CGY | VS | ANA | |||||||||||
2024-11-10 | LAK | VS | ANA | |||||||||||
2024-11-12 | ANA | VS | LAK | |||||||||||
2024-11-14 | COL | VS | ANA | |||||||||||
2024-11-17 | ANA | VS | WAS | |||||||||||
2024-11-19 | MTL | VS | ANA | |||||||||||
2024-11-22 | ANA | VS | NYI | |||||||||||
2024-11-24 | ANA | VS | VAN | |||||||||||
2024-11-26 | WAS | VS | ANA | |||||||||||
2024-11-30 | MIN | VS | ANA | |||||||||||
2024-12-02 | ANA | VS | CAR | |||||||||||
2024-12-04 | ANA | VS | SEA | |||||||||||
2024-12-06 | DET | VS | ANA | |||||||||||
2024-12-08 | ANA | VS | DET | |||||||||||
2024-12-10 | Buf | VS | ANA | |||||||||||
2024-12-12 | ANA | VS | FLA | |||||||||||
2024-12-15 | ANA | VS | TBL | |||||||||||
2024-12-17 | ANA | VS | DAL | |||||||||||
2024-12-18 | CGY | VS | ANA | |||||||||||
2024-12-22 | ANA | VS | TOR | |||||||||||
2024-12-23 | NJD | VS | ANA | |||||||||||
2024-12-27 | OTT | VS | ANA | |||||||||||
2024-12-30 | ANA | VS | MIN | |||||||||||
2025-01-01 | TBL | VS | ANA | |||||||||||
2025-01-05 | PIT | VS | ANA | |||||||||||
2025-01-08 | ANA | VS | VGS | |||||||||||
2025-01-10 | UTH | VS | ANA | |||||||||||
2025-01-14 | ANA | VS | CBJ | |||||||||||
2025-01-15 | DAL | VS | ANA | |||||||||||
2025-01-18 | ANA | VS | CHI | |||||||||||
2025-01-20 | ANA | VS | NYR | |||||||||||
2025-01-22 | COL | VS | ANA | |||||||||||
2025-01-24 | ANA | VS | MTL | |||||||||||
2025-01-26 | CHI | VS | ANA | |||||||||||
2025-01-28 | ANA | VS | NSH | |||||||||||
2025-01-30 | ANA | VS | SJS | |||||||||||
2025-01-31 | LAK | VS | ANA | |||||||||||
2025-02-04 | ANA | VS | CGY | |||||||||||
2025-02-06 | CBJ | VS | ANA | |||||||||||
2025-02-09 | BOS | VS | ANA | |||||||||||
2025-02-14 | PHI | VS | ANA | |||||||||||
2025-02-17 | ANA | VS | LAK | |||||||||||
2025-02-19 | SJS | VS | ANA | |||||||||||
2025-02-23 | ANA | VS | BOS | |||||||||||
2025-02-25 | NSH | VS | ANA | |||||||||||
2025-02-28 | ANA | VS | PIT | |||||||||||
2025-03-02 | VGS | VS | ANA | |||||||||||
2025-03-05 | ANA | VS | NJD | |||||||||||
2025-03-07 | TOR | VS | ANA | |||||||||||
2025-03-10 | ANA | VS | UTH | |||||||||||
2025-03-12 | NYI | VS | ANA | |||||||||||
2025-03-16 | ANA | VS | BOS | |||||||||||
2025-03-18 | ANA | VS | PHI | |||||||||||
2025-03-19 | EDM | VS | ANA | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-22 | ANA | VS | OTT | |||||||||||
2025-03-23 | CAR | VS | ANA | |||||||||||
2025-03-26 | ANA | VS | Buf | |||||||||||
2025-03-27 | ANA | VS | WPG | |||||||||||
2025-03-29 | SEA | VS | ANA | |||||||||||
2025-04-02 | NYR | VS | ANA | |||||||||||
2025-04-05 | ANA | VS | EDM | |||||||||||
2025-04-08 | ANA | VS | CGY | |||||||||||
2025-04-09 | WPG | VS | ANA | |||||||||||
2025-04-12 | ANA | VS | EDM | |||||||||||
2025-04-14 | SEA | VS | ANA | |||||||||||
2025-04-17 | ANA | VS | COL | |||||||||||
2025-04-20 | FLA | VS | ANA | |||||||||||
2025-04-24 | ANA | VS | COL | |||||||||||
2025-04-26 | VAN | VS | ANA | |||||||||||
2025-05-02 | VAN | VS | ANA |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
88,737,667$ | 0$ | 86,237,667$ | 1,762,333$ |
Arena | Goal Horn | About us | |
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Name | Honda Center | ||
City | Anaheim | ||
Capacity | 17565 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5060 | 1615 | 3700 | 1190 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 10467 | 8716 | 3230 | 6548 | 2180 |
Attendance PCT | 87.23% | 86.13% | 100.00% | 88.49% | 91.60% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 15571 - 88.65% | 1,991,016$ | 3,982,031$ | 17565 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
88,737,667$ | 88,737,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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3,339,072$ | 86,237,667$ | 3,208,840$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
77,649,604$ | 207 | 417,384$ | 86,398,488$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
87,750,088$ | 86,237,667$ | 113,366,825$ | 109,829,943$ |
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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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 |
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Arvid Soderblom | Ducks | ||||
Maxim Beryozkin | Ducks |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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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 |
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Arvid Soderblom | Ducks | ||||
Maxim Beryozkin | Ducks |
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