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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C/RW | 100.00 | 70 | 57 | 86 | 77 | 75 | 77 | 91 | 74 | 62 | 78 | 76 | 69 | 62 | 71 | 59 | 0 | 77 | 32 | 5,000,000$/2yrs | |||||
![]() | C | 100.00 | 70 | 65 | 79 | 77 | 78 | 79 | 93 | 71 | 85 | 77 | 71 | 73 | 54 | 71 | 66 | 0 | 76 | 30 | 5,500,000$/5yrs | |||||
![]() | C/LW | 100.00 | 68 | 57 | 87 | 76 | 79 | 80 | 90 | 69 | 80 | 80 | 65 | 73 | 54 | 72 | 63 | 0 | 75 | 29 | 5,625,000$/5yrs | |||||
![]() | RW | 100.00 | 67 | 40 | 93 | 73 | 73 | 75 | 76 | 69 | 52 | 76 | 73 | 73 | 54 | 60 | 58 | 0 | 74 | 29 | 4,750,000$/4yrs | |||||
![]() | C/LW | 100.00 | 65 | 40 | 90 | 74 | 76 | 76 | 82 | 67 | 83 | 76 | 66 | 71 | 61 | 67 | 59 | 0 | 73 | 27 | 4,450,000$/3yrs | |||||
![]() | C/LW/RW | 100.00 | 69 | 40 | 90 | 66 | 75 | 71 | 87 | 67 | 70 | 75 | 70 | 73 | 57 | 74 | 60 | 0 | 73 | 32 | 2,100,000$/4yrs | |||||
![]() | C | 100.00 | 64 | 38 | 77 | 74 | 76 | 81 | 68 | 67 | 81 | 74 | 63 | 68 | 55 | 73 | 66 | 0 | 72 | 30 | 7,750,000$/8yrs | |||||
![]() | LW/RW | 100.00 | 58 | 38 | 86 | 67 | 67 | 75 | 85 | 70 | 50 | 70 | 69 | 63 | 55 | 72 | 62 | 0 | 71 | 34 | 5,875,000$/3yrs | |||||
![]() | LW | 100.00 | 61 | 48 | 79 | 72 | 86 | 73 | 67 | 66 | 51 | 65 | 63 | 62 | 57 | 82 | 79 | 0 | 70 | 35 | 7,000,000$/1yrs | |||||
![]() | C | 100.00 | 69 | 71 | 75 | 64 | 70 | 63 | 69 | 61 | 59 | 68 | 63 | 73 | 54 | 57 | 57 | 0 | 68 | 25 | 750,000$/1yrs | |||||
![]() | C/LW | 100.00 | 73 | 38 | 78 | 61 | 79 | 61 | 59 | 55 | 66 | 69 | 58 | 70 | 51 | 57 | 55 | 0 | 66 | 30 | 800,000$/1yrs | |||||
![]() | RW | 100.00 | 64 | 40 | 84 | 62 | 73 | 68 | 65 | 56 | 51 | 63 | 58 | 64 | 60 | 62 | 58 | 0 | 64 | 28 | 1,500,000$/1yrs | |||||
![]() | D | 100.00 | 79 | 40 | 81 | 78 | 80 | 89 | 88 | 66 | 40 | 77 | 61 | 87 | 54 | 81 | 68 | 0 | 78 | 35 | 6,250,000$/3yrs | |||||
![]() | D | 100.00 | 66 | 40 | 85 | 81 | 70 | 86 | 89 | 69 | 40 | 78 | 66 | 81 | 56 | 71 | 59 | 0 | 77 | 30 | 4,500,000$/1yrs | |||||
![]() | D | 100.00 | 74 | 47 | 88 | 79 | 81 | 84 | 93 | 63 | 40 | 76 | 61 | 91 | 54 | 69 | 59 | 0 | 77 | 33 | 2,500,000$/1yrs | |||||
![]() | D | 100.00 | 73 | 65 | 73 | 69 | 92 | 81 | 92 | 60 | 40 | 72 | 59 | 93 | 54 | 78 | 60 | 0 | 75 | 34 | 3,000,000$/1yrs | |||||
![]() | D | 100.00 | 70 | 40 | 82 | 62 | 90 | 77 | 89 | 56 | 40 | 68 | 58 | 88 | 54 | 70 | 59 | 0 | 72 | 31 | 2,500,000$/2yrs | |||||
![]() | D | 100.00 | 70 | 40 | 76 | 66 | 90 | 77 | 72 | 57 | 40 | 64 | 55 | 79 | 54 | 77 | 65 | 0 | 70 | 34 | 5,625,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW | 100.00 | 56 | 57 | 66 | 63 | 62 | 66 | 64 | 61 | 55 | 60 | 64 | 62 | 55 | 66 | 60 | 0 | 64 | 29 | 750,000$/1yrs | |||||
![]() | D | 100.00 | 70 | 80 | 77 | 62 | 81 | 76 | 70 | 57 | 38 | 65 | 57 | 83 | 51 | 54 | 55 | 0 | 69 | 27 | 2,450,000$/3yrs | |||||
TEAM AVERAGE | 100.00 | 68 | 49 | 82 | 70 | 78 | 76 | 79 | 64 | 56 | 72 | 64 | 75 | 55 | 69 | 61 | 0 | 72 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 31 | 100.00 | 81 | 88 | 88 | 80 | 85 | 76 | 85 | 77 | 88 | 77 | 85 | 99 | 99 | 0 | 84 | 39 | 3,500,000$/2yrs | |
![]() | 0 | 100.00 | 65 | 80 | 79 | 83 | 81 | 78 | 78 | 60 | 84 | 74 | 91 | 62 | 56 | 0 | 76 | 29 | 5,400,000$/5yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 73 | 84 | 84 | 82 | 83 | 77 | 82 | 69 | 86 | 76 | 88 | 81 | 78 | 0 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Bowness | 87 | 86 | 83 | 87 | 97 | 86 | 1 | CAN | 68 | 3 | 600,000$ |
General Manager | Adrien Landry |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jeff Petry | ![]() | 8 | D | 30 | 4 | 24 | 28 | 11 | 36 | 0 | 60 | 43 | 14 | 36 | 9.30% | 47 | 23.92 | 2 | 3 | 5 | 0 | 0 | 0 | 51 | 2 | 0 | 0.00% | 0 | 0 | 0.93 | 0 | 0 | 0.78 | ||
2 | Sean Couturier | ![]() | 0 | C | 30 | 9 | 12 | 21 | 9 | 18 | 0 | 29 | 59 | 17 | 31 | 15.25% | 3 | 16.75 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 3 | 0 | 53.12% | 0 | 0 | 0.70 | 0 | 0 | 0.67 | ||
3 | Shayne Gostisbehere | ![]() | 15 | D | 30 | 5 | 14 | 19 | 4 | 8 | 0 | 22 | 53 | 16 | 37 | 9.43% | 31 | 23.04 | 3 | 2 | 5 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0.63 | 0 | 0 | 0.65 | ||
4 | Christian Dvorak | ![]() | 28 | C/LW | 30 | 10 | 8 | 18 | 7 | 2 | 0 | 21 | 64 | 16 | 61 | 15.63% | 3 | 18.63 | 1 | 3 | 4 | 1 | 0 | 1 | 53 | 0 | 0 | 60.61% | 0 | 0 | 0.60 | 2 | 2 | 0.72 | ||
5 | Nick Jensen | ![]() | 3 | D | 30 | 4 | 13 | 17 | -1 | 24 | 0 | 25 | 51 | 17 | 32 | 7.84% | 38 | 21.38 | 2 | 3 | 5 | 0 | 0 | 0 | 77 | 2 | 0 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.45 | ||
6 | Phillip Danault | ![]() | 24 | C | 30 | 9 | 8 | 17 | -2 | 11 | 5 | 39 | 71 | 16 | 55 | 12.68% | 6 | 21.13 | 2 | 5 | 7 | 0 | 0 | 0 | 105 | 3 | 0 | 53.29% | 0 | 0 | 0.57 | 0 | 1 | 0.54 | ||
7 | Jonathan Marchessault | ![]() | 18 | C/RW | 30 | 6 | 9 | 15 | -4 | 8 | 0 | 35 | 79 | 13 | 60 | 7.59% | 2 | 18.17 | 1 | 4 | 5 | 0 | 0 | 0 | 13 | 2 | 0 | 46.67% | 0 | 0 | 0.50 | 1 | 2 | 0.50 | ||
8 | Calle Jarnkrok | ![]() | 15 | C/LW/RW | 30 | 2 | 8 | 10 | 5 | 8 | 0 | 28 | 55 | 18 | 51 | 3.64% | 4 | 14.57 | 0 | 0 | 0 | 0 | 1 | 1 | 64 | 0 | 0 | 51.24% | 0 | 0 | 0.33 | 0 | 0 | 0.42 | ||
9 | Ilya Mikheyev | ![]() | 20 | RW | 30 | 4 | 5 | 9 | 5 | 6 | 0 | 11 | 61 | 22 | 32 | 6.56% | 1 | 19.78 | 1 | 1 | 2 | 0 | 0 | 0 | 104 | 0 | 0 | 48.08% | 0 | 0 | 0.30 | 0 | 0 | 0.41 | ||
10 | Andrew Copp | ![]() | 12 | C/LW | 30 | 3 | 6 | 9 | -5 | 6 | 0 | 39 | 65 | 20 | 45 | 4.62% | 4 | 17.97 | 1 | 2 | 3 | 0 | 0 | 0 | 15 | 0 | 0 | 40.00% | 0 | 0 | 0.30 | 1 | 1 | 0.34 | ||
11 | Ian Cole | ![]() | 6 | D | 29 | 0 | 7 | 7 | 0 | 35 | 5 | 48 | 26 | 6 | 22 | 0.00% | 30 | 18.66 | 0 | 1 | 1 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.09 | ||
12 | Patrik Nemeth | ![]() | 0 | D | 26 | 1 | 6 | 7 | -1 | 16 | 0 | 25 | 13 | 6 | 7 | 7.69% | 26 | 16.57 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 1 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | 0.17 | ||
13 | Max Pacioretty | ![]() | 22 | LW | 30 | 5 | 1 | 6 | -5 | 4 | 0 | 11 | 17 | 9 | 14 | 29.41% | 1 | 8.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 0 | 0 | 0.20 | 0 | 0 | 0.13 | ||
14 | Cam Atkinson | ![]() | 89 | LW/RW | 30 | 5 | 1 | 6 | 3 | 2 | 0 | 14 | 40 | 12 | 30 | 12.50% | 0 | 12.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 13.33% | 0 | 0 | 0.20 | 0 | 0 | 0.30 | ||
15 | Jake Muzzin | ![]() | 5 | D | 30 | 0 | 5 | 5 | -4 | 25 | 5 | 44 | 17 | 4 | 6 | 0.00% | 29 | 17.68 | 0 | 1 | 1 | 0 | 0 | 0 | 79 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.03 | ||
16 | Lukas Sedlak | ![]() | 14 | C/LW | 30 | 2 | 1 | 3 | -3 | 8 | 0 | 29 | 19 | 4 | 11 | 10.53% | 2 | 8.34 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 63.64% | 0 | 0 | 0.10 | 0 | 0 | 0.07 | ||
17 | Ondrej Kase | ![]() | 25 | RW | 27 | 2 | 1 | 3 | 3 | 4 | 0 | 17 | 11 | 2 | 10 | 18.18% | 1 | 12.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 19.05% | 0 | 0 | 0.11 | 0 | 0 | 0.14 | ||
18 | Mason Shaw | ![]() | 2 | C | 30 | 0 | 2 | 2 | -3 | 6 | 0 | 15 | 21 | 11 | 21 | 0.00% | 3 | 8.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.15% | 0 | 0 | 0.07 | 0 | 0 | 0.04 | ||
19 | Jacob Middleton | ![]() | 0 | D | 5 | 0 | 0 | 0 | -3 | 4 | 0 | 7 | 6 | 2 | 2 | 0.00% | 10 | 16.29 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.14 | ||
20 | Charles Hudon | ![]() | 55 | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 0.00% | 0 | 11.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | ||
Team Total or Average | 540 | 71 | 131 | 202 | 16 | 231 | 15 | 522 | 772 | 225 | 563 | 9.20% | 241 | 16.51 | 15 | 26 | 41 | 746 | 1 | 1 | 2 | 718 | 18 | 2 | 51.56% | 2438 | 0 | 0 | 0 | 0 | 0.45 | 4 | 6 |
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 | Marc-Andre Fleury | ![]() | 27 | 18 | 6 | 2 | 0.934 | 1.64 | 1607 | 0 | 3 | 44 | 662 | 0 | 0 | 2 | 0.833 | 6 | 26 | 4 | 3 | 3 | 3 |
2 | Elvis Merzlikins | ![]() | 4 | 2 | 2 | 0 | 0.898 | 3.20 | 225 | 0 | 0 | 12 | 118 | 0 | 1 | 0 | 0.000 | 0 | 4 | 26 | 1 | 0 | 0 |
Team Total or Average | 31 | 20 | 8 | 2 | 0.928 | 1.83 | 1832 | 0 | 3 | 56 | 780 | 0 | 1 | 2 | 0.833 | 6 | 30 | 30 | 4 | 3 | 3 |
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 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 1 | 1 | 25 | 10 | 6 | 8 | 1 | 11 | 4 | 4 | 16 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 28 | 19 | 18 | 6 | 13 | 7 | 57.1% | 16.0% | 72.7% | 88.7 | FUN |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 30 | 10 | 12 | 8 | 0 | 29 | 8 | 6 | 9 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 22 | 14 | 25 | 7 | 12 | 6 | 60.0% | 10.0% | 93.1% | 103.1 | LUCKY |
3 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 0 | 1 | 30 | 13 | 12 | 4 | 1 | 17 | 7 | 15 | 10 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 25 | 17 | 23 | 7 | 12 | 6 | 50.0% | 10.0% | 88.2% | 98.2 | FUN |
4 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 11 | 9 | 4 | 0 | 16 | 1 | 6 | 23 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 29 | 19 | 21 | 8 | 13 | 7 | 0.0% | 4.2% | 87.5% | 91.7 | Unlucky |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 28 | 12 | 6 | 10 | 0 | 25 | 6 | 10 | 10 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 24 | 15 | 21 | 7 | 13 | 7 | 100.0% | 14.3% | 96.0% | 110.3 | LUCKY |
6 | ![]() | 3 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 7 | 7 | 0 | 4 | 0.667 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 1 | 2 | 76 | 26 | 28 | 20 | 2 | 86 | 23 | 18 | 49 | 11 | 1 | 9.09% | 9 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 69 | 48 | 73 | 23 | 38 | 19 | 46.2% | 9.2% | 91.9% | 101.1 | LUCKY |
7 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 1 | 1 | 2 | 2 | 62 | 17 | 17 | 28 | 2 | 42 | 10 | 18 | 41 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 54 | 38 | 43 | 15 | 27 | 13 | 80.0% | 8.1% | 95.2% | 103.3 | DULL |
8 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 0 | 56 | 17 | 19 | 20 | 0 | 49 | 10 | 4 | 46 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 48 | 33 | 45 | 14 | 26 | 13 | 62.5% | 10.7% | 93.9% | 104.6 | LUCKY |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 21 | 5 | 8 | 8 | 0 | 31 | 9 | 17 | 20 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 21 | 14 | 25 | 8 | 12 | 6 | 0.0% | 0.0% | 93.5% | 93.5 | DULL |
10 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 2 | 0 | 0 | 2 | 32 | 9 | 10 | 13 | 4 | 18 | 9 | 6 | 10 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 26 | 18 | 23 | 8 | 14 | 6 | 33.3% | 9.4% | 88.9% | 98.3 | FUN |
11 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 8 | 4 | 1.000 | 9 | 18 | 27 | 0 | 1 | 5 | 3 | 1 | 0 | 49 | 13 | 16 | 20 | 0 | 47 | 11 | 12 | 44 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 45 | 29 | 49 | 14 | 25 | 12 | 88.9% | 18.4% | 97.9% | 116.2 | LUCKY |
12 | ![]() | 4 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 9 | 6 | 3 | 6 | 0.750 | 9 | 15 | 24 | 0 | 0 | 2 | 2 | 3 | 2 | 101 | 42 | 27 | 27 | 5 | 127 | 50 | 24 | 58 | 12 | 4 | 33.33% | 12 | 2 | 83.33% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 92 | 63 | 101 | 31 | 51 | 26 | 55.6% | 8.9% | 95.3% | 104.2 | Unlucky |
13 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 32 | 10 | 4 | 18 | 0 | 26 | 4 | 6 | 22 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 26 | 18 | 21 | 7 | 12 | 6 | 66.7% | 9.4% | 96.2% | 105.5 | LUCKY |
14 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | -5 | 1 | 0.250 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 8 | 17 | 10 | 1 | 52 | 16 | 12 | 48 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 43 | 28 | 52 | 15 | 27 | 12 | 0.0% | 0.0% | 90.4% | 90.4 | Unlucky |
15 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 15 | 7 | 4 | 4 | 0 | 46 | 7 | 20 | 16 | 3 | 1 | 33.33% | 10 | 1 | 90.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 18 | 11 | 28 | 9 | 12 | 5 | 20.0% | 13.3% | 89.1% | 102.5 | FUN |
16 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 1 | 1 | 50 | 19 | 13 | 12 | 6 | 53 | 28 | 10 | 35 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 45 | 30 | 51 | 16 | 28 | 13 | 50.0% | 8.0% | 92.5% | 100.5 | DULL |
17 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 0 | 1 | 21 | 2 | 8 | 8 | 3 | 32 | 16 | 12 | 8 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 22 | 14 | 27 | 8 | 14 | 6 | 62.5% | 23.8% | 87.5% | 111.3 | FUN |
18 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 7 | 15 | 8 | 0 | 26 | 10 | 25 | 18 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 1 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 22 | 15 | 24 | 8 | 12 | 6 | 33.3% | 3.3% | 92.3% | 95.6 | DULL |
19 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 1 | 1 | 2 | 1 | 1 | 0 | 54 | 18 | 18 | 18 | 0 | 49 | 12 | 6 | 39 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 49 | 35 | 45 | 13 | 24 | 12 | 50.0% | 7.4% | 91.8% | 99.2 | DULL |
_Vs Division | 14 | 6 | 4 | 0 | 2 | 1 | 1 | 0 | 32 | 23 | 9 | 19 | 0.679 | 32 | 56 | 88 | 1 | 2 | 12 | 8 | 9 | 4 | 358 | 114 | 122 | 116 | 10 | 368 | 118 | 89 | 263 | 38 | 8 | 21.05% | 37 | 2 | 94.59% | 1 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 328 | 225 | 342 | 106 | 183 | 91 | 53.3% | 8.9% | 93.8% | 102.7 | Unlucky | |
_Vs Conference | 20 | 8 | 6 | 0 | 3 | 1 | 2 | 0 | 44 | 32 | 12 | 27 | 0.675 | 44 | 76 | 120 | 2 | 3 | 16 | 10 | 13 | 7 | 523 | 165 | 164 | 182 | 18 | 520 | 169 | 140 | 381 | 53 | 10 | 18.87% | 57 | 4 | 92.98% | 1 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 475 | 327 | 484 | 154 | 264 | 131 | 54.8% | 8.4% | 93.8% | 102.3 | DULL | |
_Since Last GM Reset | 30 | 10 | 8 | 0 | 8 | 2 | 2 | 0 | 73 | 58 | 15 | 42 | 0.700 | 73 | 131 | 204 | 2 | 3 | 24 | 22 | 17 | 12 | 772 | 256 | 249 | 248 | 25 | 782 | 241 | 231 | 522 | 85 | 15 | 17.65% | 98 | 8 | 91.84% | 1 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 715 | 487 | 723 | 233 | 395 | 196 | 53.7% | 9.5% | 92.6% | 102.0 | LUCKY | |
Total | 30 | 10 | 8 | 0 | 8 | 2 | 2 | 0 | 73 | 58 | 15 | 42 | 0.700 | 73 | 131 | 204 | 2 | 3 | 24 | 22 | 17 | 12 | 772 | 256 | 249 | 248 | 25 | 782 | 241 | 231 | 522 | 85 | 15 | 17.65% | 98 | 8 | 91.84% | 1 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 715 | 487 | 723 | 233 | 395 | 196 | 53.7% | 9.5% | 92.6% | 102.0 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 961 |
Neutral Zone Start | 423 |
Defensive Zone Start | 1004 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1257 |
Faceoffs Lost | 1131 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.5 | 9.57 |
2nd Period | 16.8 | 20.31 |
3rd Period | 25.1 | 30.68 |
Overtime | 25.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.1 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 55 |
---|---|
PP Goal | 15 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 11 | 9 |
Lost | 3 | 5 |
Overtime Lost | 1 | 1 |
PP Attempt | 85 |
---|---|
PP Goal | 15 |
PK Attempt | 98 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 25.7 |
Shots Against | 26.1 |
Goals For | 2.4 |
Goals Against | 1.9 |
Hits | 17.4 |
Shots Blocked | 8.0 |
Pim | 7.7 |
![]() | |
Projected Total Cap Hit | 87,575,000$ |
Projected Cap Space | 425,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 30,608,192$ |
Players In Salary Cap | 22 |
Contracts | 52/50 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Copp ![]() | C/LW | 29 | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | UFA | ||
Calle Jarnkrok ![]() | C/LW/RW | 32 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | |||
Cam Atkinson ![]() | LW/RW | 34 | 5,875,000$ | 5,875,000$ | 5,875,000$ | 5,875,000$ | UFA | ||||
Charles Hudon ![]() | LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Christian Dvorak ![]() | C/LW | 27 | 4,450,000$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | UFA | ||||
Elvis Merzlikins ![]() | G | 29 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | UFA | ||
Ian Cole ![]() | D | 34 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Ilya Mikheyev ![]() | RW | 29 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||
Jacob Middleton ![]() | D | 27 | 2,450,000$ | 2,450,000$ | 2,450,000$ | 2,450,000$ | UFA | ||||
Jake Muzzin ![]() | D | 34 | 5,625,000$ | 5,625,000$ | 5,625,000$ | UFA | |||||
Jeff Petry ![]() | D | 35 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||||
Jonathan Marchessault ![]() | C/RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Lukas Sedlak ![]() | C/LW | 30 | 800,000$ | 800,000$ | UFA | ||||||
Marc-Andre Fleury ![]() | G | 39 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Mason Shaw ![]() | C | 25 | 750,000$ | 750,000$ | RFA | ||||||
Max Pacioretty ![]() | LW | 35 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Nick Jensen ![]() | D | 33 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Ondrej Kase ![]() | RW | 28 | 1,500,000$ | 1,500,000$ | ![]() | ||||||
Patrik Nemeth ![]() | D | 31 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Phillip Danault ![]() | C | 30 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||
Sean Couturier ![]() | C | 30 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ |
Shayne Gostisbehere ![]() | D | 30 | 4,500,000$ | 4,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ginning ![]() | D | 23 | 883,750$ | 883,750$ | 883,750$ | RFA | |||||
Aidan Dudas ![]() | C/LW | 23 | 786,667$ | 786,667$ | RFA | ||||||
Ben Gleason ![]() | D | 25 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | ![]() | ||||
Brandon Gignac ![]() | C/LW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Brendan Warren ![]() | C/LW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Colton White ![]() | D | 26 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Dennis Gilbert ![]() | D | 27 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Fredrik Karlstrom ![]() | C | 25 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Garrett Pilon ![]() | RW | 25 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Givani Smith ![]() | RW | 25 | 750,000$ | 750,000$ | 800,000$ | 800,000$ | ![]() | ||||
Glenn Gawdin ![]() | C/RW | 26 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Henrik Rybinski ![]() | RW | 22 | 859,167$ | 859,167$ | 859,167$ | 859,167$ | RFA | ||||
Jesper Vikman ![]() | G | 21 | 750,000$ | 750,000$ | 858,000$ | 858,000$ | 858,000$ | RFA | |||
Kaden Fulcher ![]() | G | 25 | 750,000$ | 750,000$ | RFA | ||||||
Magnus Hellberg ![]() | G | 32 | 750,000$ | 750,000$ | UFA | ||||||
Markus Phillips ![]() | D | 24 | 796,667$ | 796,667$ | RFA | ||||||
Mathias Laferriere ![]() | RW | 23 | 786,667$ | 786,667$ | 775,000$ | RFA | |||||
Matthew Strome ![]() | C/LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Maxime Lajoie ![]() | D | 26 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Mitch Reinke ![]() | D | 27 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Nick Henry ![]() | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
Nicolas Beaudin ![]() | D | 24 | 863,333$ | 863,333$ | 775,000$ | RFA | |||||
Noel Hoefenmayer ![]() | D | 24 | 750,000$ | 750,000$ | 845,000$ | ![]() | |||||
Peter Abbandonato ![]() | C | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Pontus Holmberg ![]() | C/LW | 24 | 827,500$ | 827,500$ | 800,000$ | 800,000$ | ![]() | ||||
Spencer Foo ![]() | RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Stelio Mattheos ![]() | RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Thomas Harley ![]() | D | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Ty Smith ![]() | D | 23 | 863,333$ | 863,333$ | 775,000$ | RFA | |||||
Xavier Ouellet ![]() | D | 30 | 762,500$ | 762,500$ | 762,500$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 1 | 1 | 25 | 10 | 6 | 8 | 1 | 11 | 4 | 4 | 16 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 28 | 19 | 18 | 6 | 13 | 7 | 57.1% | 16.0% | 72.7% | 88.7 | FUN |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 30 | 10 | 12 | 8 | 0 | 29 | 8 | 6 | 9 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 22 | 14 | 25 | 7 | 12 | 6 | 60.0% | 10.0% | 93.1% | 103.1 | LUCKY |
3 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 0 | 1 | 30 | 13 | 12 | 4 | 1 | 17 | 7 | 15 | 10 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 25 | 17 | 23 | 7 | 12 | 6 | 50.0% | 10.0% | 88.2% | 98.2 | FUN |
4 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 11 | 9 | 4 | 0 | 16 | 1 | 6 | 23 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 29 | 19 | 21 | 8 | 13 | 7 | 0.0% | 4.2% | 87.5% | 91.7 | Unlucky |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 28 | 12 | 6 | 10 | 0 | 25 | 6 | 10 | 10 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 24 | 15 | 21 | 7 | 13 | 7 | 100.0% | 14.3% | 96.0% | 110.3 | LUCKY |
6 | ![]() | 3 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 7 | 7 | 0 | 4 | 0.667 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 1 | 2 | 76 | 26 | 28 | 20 | 2 | 86 | 23 | 18 | 49 | 11 | 1 | 9.09% | 9 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 69 | 48 | 73 | 23 | 38 | 19 | 46.2% | 9.2% | 91.9% | 101.1 | LUCKY |
7 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 1 | 1 | 2 | 2 | 62 | 17 | 17 | 28 | 2 | 42 | 10 | 18 | 41 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 54 | 38 | 43 | 15 | 27 | 13 | 80.0% | 8.1% | 95.2% | 103.3 | DULL |
8 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 0 | 56 | 17 | 19 | 20 | 0 | 49 | 10 | 4 | 46 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 48 | 33 | 45 | 14 | 26 | 13 | 62.5% | 10.7% | 93.9% | 104.6 | LUCKY |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 21 | 5 | 8 | 8 | 0 | 31 | 9 | 17 | 20 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 21 | 14 | 25 | 8 | 12 | 6 | 0.0% | 0.0% | 93.5% | 93.5 | DULL |
10 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 2 | 0 | 0 | 2 | 32 | 9 | 10 | 13 | 4 | 18 | 9 | 6 | 10 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 26 | 18 | 23 | 8 | 14 | 6 | 33.3% | 9.4% | 88.9% | 98.3 | FUN |
11 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 8 | 4 | 1.000 | 9 | 18 | 27 | 0 | 1 | 5 | 3 | 1 | 0 | 49 | 13 | 16 | 20 | 0 | 47 | 11 | 12 | 44 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 45 | 29 | 49 | 14 | 25 | 12 | 88.9% | 18.4% | 97.9% | 116.2 | LUCKY |
12 | ![]() | 4 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 9 | 6 | 3 | 6 | 0.750 | 9 | 15 | 24 | 0 | 0 | 2 | 2 | 3 | 2 | 101 | 42 | 27 | 27 | 5 | 127 | 50 | 24 | 58 | 12 | 4 | 33.33% | 12 | 2 | 83.33% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 92 | 63 | 101 | 31 | 51 | 26 | 55.6% | 8.9% | 95.3% | 104.2 | Unlucky |
13 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 32 | 10 | 4 | 18 | 0 | 26 | 4 | 6 | 22 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 26 | 18 | 21 | 7 | 12 | 6 | 66.7% | 9.4% | 96.2% | 105.5 | LUCKY |
14 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | -5 | 1 | 0.250 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 8 | 17 | 10 | 1 | 52 | 16 | 12 | 48 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 43 | 28 | 52 | 15 | 27 | 12 | 0.0% | 0.0% | 90.4% | 90.4 | Unlucky |
15 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 15 | 7 | 4 | 4 | 0 | 46 | 7 | 20 | 16 | 3 | 1 | 33.33% | 10 | 1 | 90.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 18 | 11 | 28 | 9 | 12 | 5 | 20.0% | 13.3% | 89.1% | 102.5 | FUN |
16 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 1 | 1 | 50 | 19 | 13 | 12 | 6 | 53 | 28 | 10 | 35 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 45 | 30 | 51 | 16 | 28 | 13 | 50.0% | 8.0% | 92.5% | 100.5 | DULL |
17 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 0 | 1 | 21 | 2 | 8 | 8 | 3 | 32 | 16 | 12 | 8 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 22 | 14 | 27 | 8 | 14 | 6 | 62.5% | 23.8% | 87.5% | 111.3 | FUN |
18 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 7 | 15 | 8 | 0 | 26 | 10 | 25 | 18 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 1 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 22 | 15 | 24 | 8 | 12 | 6 | 33.3% | 3.3% | 92.3% | 95.6 | DULL |
19 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 1 | 1 | 2 | 1 | 1 | 0 | 54 | 18 | 18 | 18 | 0 | 49 | 12 | 6 | 39 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 49 | 35 | 45 | 13 | 24 | 12 | 50.0% | 7.4% | 91.8% | 99.2 | DULL |
_Vs Division | 14 | 6 | 4 | 0 | 2 | 1 | 1 | 0 | 32 | 23 | 9 | 19 | 0.679 | 32 | 56 | 88 | 1 | 2 | 12 | 8 | 9 | 4 | 358 | 114 | 122 | 116 | 10 | 368 | 118 | 89 | 263 | 38 | 8 | 21.05% | 37 | 2 | 94.59% | 1 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 328 | 225 | 342 | 106 | 183 | 91 | 53.3% | 8.9% | 93.8% | 102.7 | Unlucky | |
_Vs Conference | 20 | 8 | 6 | 0 | 3 | 1 | 2 | 0 | 44 | 32 | 12 | 27 | 0.675 | 44 | 76 | 120 | 2 | 3 | 16 | 10 | 13 | 7 | 523 | 165 | 164 | 182 | 18 | 520 | 169 | 140 | 381 | 53 | 10 | 18.87% | 57 | 4 | 92.98% | 1 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 475 | 327 | 484 | 154 | 264 | 131 | 54.8% | 8.4% | 93.8% | 102.3 | DULL | |
_Since Last GM Reset | 30 | 10 | 8 | 0 | 8 | 2 | 2 | 0 | 73 | 58 | 15 | 42 | 0.700 | 73 | 131 | 204 | 2 | 3 | 24 | 22 | 17 | 12 | 772 | 256 | 249 | 248 | 25 | 782 | 241 | 231 | 522 | 85 | 15 | 17.65% | 98 | 8 | 91.84% | 1 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 715 | 487 | 723 | 233 | 395 | 196 | 53.7% | 9.5% | 92.6% | 102.0 | LUCKY | |
Total | 30 | 10 | 8 | 0 | 8 | 2 | 2 | 0 | 73 | 58 | 15 | 42 | 0.700 | 73 | 131 | 204 | 2 | 3 | 24 | 22 | 17 | 12 | 772 | 256 | 249 | 248 | 25 | 782 | 241 | 231 | 522 | 85 | 15 | 17.65% | 98 | 8 | 91.84% | 1 | 517 | 961 | 53.80% | 527 | 1004 | 52.49% | 213 | 423 | 50.35% | 715 | 487 | 723 | 233 | 395 | 196 | 53.7% | 9.5% | 92.6% | 102.0 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 961 |
Neutral Zone Start | 423 |
Defensive Zone Start | 1004 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1257 |
Faceoffs Lost | 1131 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.5 | 9.57 |
2nd Period | 16.8 | 20.31 |
3rd Period | 25.1 | 30.68 |
Overtime | 25.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.1 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 55 |
---|---|
PP Goal | 15 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 11 | 9 |
Lost | 3 | 5 |
Overtime Lost | 1 | 1 |
PP Attempt | 85 |
---|---|
PP Goal | 15 |
PK Attempt | 98 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 25.7 |
Shots Against | 26.1 |
Goals For | 2.4 |
Goals Against | 1.9 |
Hits | 17.4 |
Shots Blocked | 8.0 |
Pim | 7.7 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
Sat, Oct 7 | ![]() | @ | ![]() | MTL3,ANA4 (OT) | RECAP |
Sun, Oct 8 | ![]() | @ | ![]() | ANA3,VAN2 | RECAP |
Tue, Oct 10 | ![]() | @ | ![]() | ANA1,SJS2 | RECAP |
Wed, Oct 11 | ![]() | @ | ![]() | ANA2,SEA4 | RECAP |
Sat, Oct 14 | ![]() | @ | ![]() | CGY2,ANA3 (SO) | RECAP |
Tue, Oct 17 | ![]() | @ | ![]() | ANA4,EDM0 | RECAP |
Wed, Oct 18 | ![]() | @ | ![]() | LAK1,ANA0 (OT) | RECAP |
Sat, Oct 21 | ![]() | @ | ![]() | ANA3,VAN1 | RECAP |
Mon, Oct 23 | ![]() | @ | ![]() | SEA0,ANA2 | RECAP |
Wed, Oct 25 | ![]() | @ | ![]() | ANA5,CAR4 (OT) | RECAP |
Fri, Oct 27 | ![]() | @ | ![]() | SJS1,ANA2 (OT) | RECAP |
Sun, Oct 29 | ![]() | @ | ![]() | ANA0,LAK4 | RECAP |
Tue, Oct 31 | ![]() | @ | ![]() | MTL3,ANA1 | RECAP |
Thu, Nov 2 | ![]() | @ | ![]() | ANA3,SJS1 | RECAP |
Fri, Nov 3 | ![]() | @ | ![]() | EDM1,ANA5 | RECAP |
Mon, Nov 6 | ![]() | @ | ![]() | VGK2,ANA1 | RECAP |
Fri, Nov 10 | ![]() | @ | ![]() | WPG2,ANA3 (SO) | RECAP |
Sat, Nov 11 | ![]() | @ | ![]() | ANA2,WPG0 | RECAP |
Mon, Nov 13 | ![]() | @ | ![]() | ANA3,SJS2 (OT) | RECAP |
Wed, Nov 15 | ![]() | @ | ![]() | CLB2,ANA3 | RECAP |
Sat, Nov 18 | ![]() | @ | ![]() | TBL5,ANA2 | RECAP |
Mon, Nov 20 | ![]() | @ | ![]() | ANA2,STL3 | RECAP |
Wed, Nov 22 | ![]() | @ | ![]() | DAL1,ANA3 | RECAP |
Fri, Nov 24 | ![]() | @ | ![]() | ANA2,MTL1 (OT) | RECAP |
Sun, Nov 26 | ![]() | @ | ![]() | ANA4,NYI1 | RECAP |
Mon, Nov 27 | ![]() | @ | ![]() | BOS3,ANA4 (OT) | RECAP |
Thu, Nov 30 | ![]() | @ | ![]() | ANA1,FLA2 (OT) | RECAP |
Sat, Dec 2 | ![]() | @ | ![]() | WSH2,ANA3 (OT) | RECAP |
Mon, Dec 4 | ![]() | @ | ![]() | ANA0,COL2 | RECAP |
Wed, Dec 6 | ![]() | @ | ![]() | STL1,ANA2 (OT) | RECAP |
Sun, Dec 10 | ![]() | @ | ![]() | ||
Tue, Dec 12 | ![]() | @ | ![]() | ||
Thu, Dec 14 | ![]() | @ | ![]() | ||
Mon, Dec 18 | ![]() | @ | ![]() | ||
Tue, Dec 19 | ![]() | @ | ![]() | ||
Fri, Dec 22 | ![]() | @ | ![]() | ||
Sun, Dec 24 | ![]() | @ | ![]() | ||
Tue, Dec 26 | ![]() | @ | ![]() | ||
Wed, Dec 27 | ![]() | @ | ![]() | ||
Sat, Dec 30 | ![]() | @ | ![]() | ||
Mon, Jan 1 | ![]() | @ | ![]() | ||
Wed, Jan 3 | ![]() | @ | ![]() | ||
Fri, Jan 5 | ![]() | @ | ![]() | ||
Sun, Jan 7 | ![]() | @ | ![]() | ||
Tue, Jan 9 | ![]() | @ | ![]() | ||
Wed, Jan 10 | ![]() | @ | ![]() | ||
Sat, Jan 13 | ![]() | @ | ![]() | ||
Sun, Jan 14 | ![]() | @ | ![]() | ||
Wed, Jan 17 | ![]() | @ | ![]() | ||
Thu, Jan 18 | ![]() | @ | ![]() | ||
Sun, Jan 21 | ![]() | @ | ![]() | ||
Tue, Jan 23 | ![]() | @ | ![]() | ||
Thu, Jan 25 | ![]() | @ | ![]() | ||
Fri, Jan 26 | ![]() | @ | ![]() | ||
Tue, Jan 30 | ![]() | @ | ![]() | ||
Thu, Feb 1 | ![]() | @ | ![]() | ||
Sat, Feb 3 | ![]() | @ | ![]() | ||
Mon, Feb 5 | ![]() | @ | ![]() | ||
Wed, Feb 7 | ![]() | @ | ![]() | ||
Thu, Feb 8 | ![]() | @ | ![]() | ||
Sun, Feb 11 | ![]() | @ | ![]() | ||
Tue, Feb 13 | ![]() | @ | ![]() | ||
Thu, Feb 15 | ![]() | @ | ![]() | ||
Sat, Feb 17 | ![]() | @ | ![]() | ||
Mon, Feb 19 | ![]() | @ | ![]() | ||
Wed, Feb 21 | ![]() | @ | ![]() | ||
Thu, Feb 22 | ![]() | @ | ![]() | ||
Mon, Feb 26 | ![]() | @ | ![]() | ||
Thu, Feb 29 | ![]() | @ | ![]() | ||
Sat, Mar 2 | ![]() | @ | ![]() | ||
Mon, Mar 4 | ![]() | @ | ![]() | ||
Tue, Mar 5 | ![]() | @ | ![]() | ||
Wed, Mar 6 | ![]() | @ | ![]() | ||
Sun, Mar 10 | ![]() | @ | ![]() | ||
Tue, Mar 12 | ![]() | @ | ![]() | ||
Thu, Mar 14 | ![]() | @ | ![]() | ||
Fri, Mar 15 | ![]() | @ | ![]() | ||
Sun, Mar 17 | ![]() | @ | ![]() | ||
Wed, Mar 20 | ![]() | @ | ![]() | ||
Sun, Mar 24 | ![]() | @ | ![]() | ||
Thu, Mar 28 | ![]() | @ | ![]() | ||
Fri, Mar 29 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,575,000$ | 0$ | 87,575,000$ | 425,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Honda Center | |
City | Anaheim | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 85836 | 71239 | 28289 | 56515 | 14201 |
Attendance PCT | 95.37% | 94.99% | 94.30% | 94.19% | 94.67% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
26 | 17072 - 94.84% | 1,798,046$ | 26,970,683$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,575,000$ | 87,575,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
30,818,372$ | 87,575,000$ | 30,608,192$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
46,749,184$ | 115 | 498,164$ | 57,288,860$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
59,129,550$ | 87,575,000$ | 26,801,140$ | 16,510,290$ |
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 | Ronde 6 |
---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Alexis Gravel | ![]() | 2018 | |||
Christopher Pelosi | ![]() | 2023 | |||
Domenick Fensore | ![]() | 2019 | |||
Emil Pieniniemi | ![]() | 2023 | |||
Jakub Stancl | ![]() | 2023 | |||
Jesse Nurmi | ![]() | 2023 | |||
Malte Setkov | ![]() | 2017 | |||
Niklas Nordgren | ![]() | 2018 | |||
Shawn Boudrias | ![]() | 2018 | |||
Tomas Vomacka | ![]() | 2017 | |||
Ty Smilanic | ![]() | 2020 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 |
---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Alexis Gravel | ![]() | 2018 | |||
Christopher Pelosi | ![]() | 2023 | |||
Domenick Fensore | ![]() | 2019 | |||
Emil Pieniniemi | ![]() | 2023 | |||
Jakub Stancl | ![]() | 2023 | |||
Jesse Nurmi | ![]() | 2023 | |||
Malte Setkov | ![]() | 2017 | |||
Niklas Nordgren | ![]() | 2018 | |||
Shawn Boudrias | ![]() | 2018 | |||
Tomas Vomacka | ![]() | 2017 | |||
Ty Smilanic | ![]() | 2020 |
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