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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 98.00 | 69 | 47 | 83 | 85 | 77 | 82 | 89 | 79 | 85 | 83 | 77 | 72 | 63 | 72 | 75 | 0 | 81 | 27 | 6,100,000$/9yrs | |||||
![]() | LW/RW | 100.00 | 75 | 65 | 84 | 70 | 73 | 77 | 77 | 72 | 53 | 80 | 68 | 67 | 54 | 64 | 59 | 0 | 75 | 28 | 4,750,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 70 | 40 | 85 | 75 | 69 | 78 | 80 | 69 | 58 | 78 | 70 | 71 | 73 | 76 | 65 | 0 | 75 | 34 | 5,500,000$/3yrs | |||||
![]() | LW/RW | 99.00 | 75 | 66 | 73 | 73 | 79 | 72 | 81 | 69 | 56 | 78 | 69 | 70 | 54 | 58 | 58 | 0 | 74 | 28 | 4,500,000$/4yrs | |||||
![]() | LW/RW | 99.00 | 75 | 40 | 87 | 71 | 69 | 71 | 93 | 67 | 59 | 74 | 68 | 69 | 54 | 62 | 59 | 0 | 73 | 28 | 2,500,000$/2yrs | |||||
![]() | C | 99.00 | 64 | 38 | 77 | 74 | 76 | 81 | 68 | 67 | 81 | 74 | 63 | 68 | 55 | 73 | 66 | 0 | 73 | 31 | 7,750,000$/8yrs | |||||
![]() | C | 100.00 | 74 | 57 | 78 | 73 | 67 | 65 | 90 | 64 | 79 | 75 | 65 | 72 | 54 | 61 | 58 | 0 | 72 | 25 | 1,675,000$/2yrs | |||||
![]() | C/LW | 100.00 | 73 | 40 | 81 | 64 | 79 | 65 | 80 | 64 | 76 | 72 | 67 | 70 | 78 | 86 | 66 | 0 | 72 | 36 | 750,000$/1yrs | |||||
![]() | C/RW | 100.00 | 71 | 40 | 84 | 62 | 84 | 68 | 81 | 64 | 64 | 74 | 65 | 70 | 54 | 65 | 59 | 0 | 71 | 29 | 2,750,000$/1yrs | |||||
![]() | LW | 100.00 | 59 | 44 | 80 | 67 | 72 | 67 | 63 | 66 | 53 | 67 | 72 | 62 | 58 | 65 | 58 | 0 | 70 | 27 | 5,250,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 82 | 76 | 81 | 65 | 77 | 60 | 80 | 59 | 53 | 68 | 65 | 73 | 54 | 58 | 58 | 0 | 70 | 26 | 750,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 68 | 61 | 79 | 65 | 81 | 65 | 71 | 60 | 62 | 68 | 62 | 70 | 54 | 58 | 57 | 0 | 68 | 25 | 1,775,000$/3yrs | |||||
![]() | D | 100.00 | 74 | 58 | 74 | 76 | 85 | 93 | 92 | 67 | 40 | 79 | 65 | 88 | 54 | 71 | 67 | 0 | 79 | 28 | 9,250,000$/8yrs | |||||
![]() | D | 99.00 | 73 | 58 | 78 | 74 | 63 | 81 | 90 | 63 | 40 | 77 | 58 | 86 | 54 | 65 | 59 | 0 | 74 | 27 | 4,025,175$/3yrs | |||||
![]() | D | 100.00 | 78 | 66 | 74 | 66 | 79 | 77 | 84 | 58 | 40 | 69 | 59 | 88 | 54 | 59 | 58 | 0 | 73 | 27 | 1,900,000$/4yrs | |||||
![]() | D | 100.00 | 70 | 40 | 76 | 87 | 78 | 72 | 76 | 57 | 40 | 71 | 58 | 78 | 54 | 61 | 58 | 0 | 72 | 29 | 2,650,000$/2yrs | |||||
![]() | D | 97.44 | 66 | 66 | 84 | 72 | 75 | 70 | 69 | 60 | 40 | 73 | 58 | 79 | 54 | 58 | 58 | 0 | 71 | 29 | 750,000$/2yrs | |||||
![]() | D | 100.00 | 58 | 51 | 72 | 64 | 65 | 66 | 64 | 61 | 40 | 62 | 61 | 68 | 54 | 60 | 57 | 0 | 66 | 26 | 800,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW/RW | 100.00 | 58 | 58 | 73 | 64 | 60 | 67 | 64 | 61 | 54 | 63 | 62 | 62 | 54 | 66 | 59 | 0 | 65 | 29 | 750,000$/3yrs | |||||
![]() | D | 90.59 | 68 | 48 | 75 | 87 | 88 | 90 | 78 | 69 | 40 | 79 | 65 | 83 | 68 | 66 | 66 | 0 | 79 | 25 | 4,600,000$/3yrs | |||||
![]() | D | 100.00 | 59 | 44 | 82 | 68 | 72 | 64 | 63 | 56 | 40 | 67 | 55 | 75 | 54 | 62 | 58 | 0 | 67 | 25 | 750,000$/1yrs | |||||
TEAM AVERAGE | 99.10 | 69 | 53 | 79 | 72 | 75 | 73 | 78 | 64 | 55 | 73 | 64 | 73 | 57 | 65 | 61 | 0 | 72 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 87 | 88 | 87 | 80 | 72 | 78 | 86 | 75 | 83 | 76 | 87 | 60 | 56 | 0 | 82 | 27 | 3,400,000$/3yrs | |
![]() | 0 | 100.00 | 67 | 68 | 69 | 73 | 73 | 69 | 69 | 65 | 67 | 68 | 73 | 65 | 58 | 0 | 69 | 29 | 5,000,000$/3yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 77 | 78 | 78 | 77 | 73 | 74 | 78 | 70 | 75 | 72 | 80 | 63 | 57 | 0 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Alain Vigneault | 79 | 74 | 77 | 80 | 91 | 84 | 55 | CAN | 62 | 4 | 0$ |
General Manager | Jean-Luc Alluisi |
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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 | Sean Couturier | ![]() | 0 | C | 24 | 5 | 15 | 20 | 9 | 8 | 0 | 21 | 51 | 11 | 35 | 9.80% | 0 | 17.53 | 1 | 7 | 8 | 0 | 0 | 0 | 20 | 1 | 0 | 51.55% | 0 | 0 | 0.83 | 0 | 0 | 0.82 | ||
2 | Tyler Bertuzzi | ![]() | 0 | LW/RW | 24 | 5 | 11 | 16 | 11 | 24 | 0 | 32 | 62 | 6 | 30 | 8.06% | 2 | 16.79 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 28.57% | 0 | 0 | 0.67 | 0 | 1 | 0.67 | ||
3 | Dominik Kubalik | ![]() | 0 | LW/RW | 24 | 6 | 8 | 14 | -6 | 14 | 0 | 31 | 39 | 10 | 29 | 15.38% | 2 | 16.65 | 2 | 4 | 6 | 0 | 0 | 0 | 5 | 0 | 0 | 47.83% | 0 | 0 | 0.58 | 0 | 0 | 0.38 | ||
4 | Dylan Larkin | ![]() | 0 | C | 24 | 4 | 10 | 14 | -8 | 8 | 0 | 17 | 74 | 19 | 73 | 5.41% | 6 | 19.70 | 0 | 4 | 4 | 0 | 1 | 1 | 65 | 1 | 0 | 55.95% | 0 | 0 | 0.58 | 0 | 1 | 0.53 | ||
5 | Jakob Chychrun | ![]() | 0 | D | 22 | 4 | 10 | 14 | 1 | 18 | 0 | 37 | 41 | 9 | 35 | 9.76% | 31 | 23.25 | 3 | 1 | 4 | 0 | 0 | 0 | 79 | 0 | 0 | 0.00% | 0 | 0 | 0.64 | 0 | 0 | 0.55 | ||
6 | Gustav Nyquist | ![]() | 0 | LW/RW | 24 | 4 | 9 | 13 | -4 | 6 | 0 | 27 | 53 | 20 | 29 | 7.55% | 1 | 15.16 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 32.14% | 0 | 0 | 0.54 | 0 | 0 | 0.48 | ||
7 | Marcus Pettersson | ![]() | 0 | D | 24 | 1 | 12 | 13 | -5 | 34 | 0 | 38 | 32 | 5 | 20 | 3.13% | 32 | 21.59 | 1 | 4 | 5 | 0 | 0 | 0 | 79 | 0 | 0 | 0.00% | 0 | 0 | 0.54 | 0 | 0 | 0.23 | ||
8 | Niko Mikkola | ![]() | 0 | D | 24 | 3 | 8 | 11 | -4 | 33 | 5 | 44 | 25 | 3 | 12 | 12.00% | 35 | 19.07 | 0 | 2 | 2 | 0 | 1 | 1 | 88 | 1 | 0 | 0.00% | 0 | 0 | 0.46 | 0 | 0 | 0.18 | ||
9 | Mason Marchment | ![]() | 0 | LW/RW | 24 | 6 | 5 | 11 | -2 | 16 | 0 | 35 | 49 | 9 | 38 | 12.24% | 1 | 14.35 | 1 | 2 | 3 | 0 | 0 | 0 | 10 | 1 | 1 | 51.28% | 0 | 0 | 0.46 | 0 | 0 | 0.39 | ||
10 | Blake Lizotte | ![]() | 0 | C | 24 | 2 | 6 | 8 | -3 | 14 | 0 | 20 | 28 | 4 | 26 | 7.14% | 7 | 14.71 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 0 | 0 | 52.52% | 0 | 0 | 0.33 | 0 | 0 | 0.19 | ||
11 | Darnell Nurse | ![]() | 0 | D | 14 | 3 | 5 | 8 | 0 | 31 | 5 | 31 | 30 | 9 | 13 | 10.00% | 21 | 21.90 | 3 | 1 | 4 | 0 | 0 | 0 | 40 | 0 | 1 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.31 | ||
12 | Sean Walker | ![]() | 0 | D | 24 | 3 | 4 | 7 | 2 | 28 | 0 | 34 | 18 | 7 | 10 | 16.67% | 29 | 17.35 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.15 | ||
13 | Derick Brassard | ![]() | 0 | C/LW | 24 | 3 | 3 | 6 | -4 | 0 | 0 | 15 | 39 | 14 | 22 | 7.69% | 3 | 13.41 | 2 | 1 | 3 | 0 | 0 | 0 | 72 | 1 | 1 | 51.65% | 0 | 0 | 0.25 | 0 | 0 | 0.27 | ||
14 | Lucas Carlsson | ![]() | 0 | D | 16 | 3 | 3 | 6 | -3 | 10 | 0 | 23 | 9 | 5 | 6 | 33.33% | 13 | 18.04 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 1 | 0 | 0.00% | 0 | 0 | 0.38 | 0 | 0 | 0.21 | ||
15 | Jakub Vrana | ![]() | 0 | LW | 20 | 3 | 3 | 6 | 0 | 0 | 0 | 10 | 24 | 1 | 19 | 12.50% | 1 | 14.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 57.14% | 0 | 0 | 0.30 | 0 | 0 | 0.33 | ||
16 | Gavin Bayreuther | ![]() | 0 | D | 15 | 2 | 3 | 5 | -3 | 14 | 0 | 17 | 15 | 1 | 8 | 13.33% | 15 | 16.12 | 1 | 0 | 1 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.14 | ||
17 | Oskar Sundqvist | ![]() | 0 | C/RW | 24 | 4 | 0 | 4 | -3 | 4 | 0 | 18 | 16 | 9 | 19 | 25.00% | 8 | 14.25 | 0 | 0 | 0 | 1 | 0 | 1 | 89 | 0 | 0 | 45.30% | 0 | 0 | 0.17 | 0 | 0 | 0.14 | ||
18 | Brandon Duhaime | ![]() | 0 | LW/RW | 24 | 1 | 1 | 2 | -5 | 10 | 0 | 38 | 28 | 6 | 17 | 3.57% | 2 | 10.24 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 1 | 0 | 36.36% | 0 | 0 | 0.08 | 0 | 0 | 0.05 | ||
19 | Morgan Barron | ![]() | 0 | C/LW/RW | 24 | 1 | 1 | 2 | -5 | 0 | 0 | 9 | 15 | 6 | 5 | 6.67% | 2 | 8.59 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 54.55% | 0 | 0 | 0.08 | 0 | 0 | 0.05 | ||
20 | Victor Mete | ![]() | 0 | D | 5 | 0 | 2 | 2 | 0 | 2 | 0 | 2 | 1 | 0 | 0 | 0.00% | 3 | 15.44 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.23 | ||
21 | Drake Caggiula | ![]() | 0 | LW/RW | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 7.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.13 | ||
Team Total or Average | 432 | 63 | 119 | 182 | -31 | 274 | 10 | 499 | 651 | 154 | 447 | 9.68% | 214 | 16.21 | 17 | 29 | 46 | 756 | 1 | 2 | 3 | 760 | 9 | 4 | 52.02% | 2005 | 0 | 0 | 0 | 0 | 0.52 | 0 | 2 |
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 | Vitek Vanecek | ![]() | 22 | 8 | 10 | 1 | 0.897 | 2.89 | 1101 | 0 | 0 | 53 | 516 | 0 | 1 | 1 | 0.000 | 0 | 18 | 6 | 0 | 2 | 1 |
2 | Cal Petersen | ![]() | 11 | 1 | 3 | 1 | 0.888 | 3.68 | 342 | 0 | 0 | 21 | 188 | 0 | 0 | 0 | 0.000 | 2 | 6 | 18 | 0 | 0 | 0 |
Team Total or Average | 33 | 9 | 13 | 2 | 0.895 | 3.08 | 1443 | 0 | 0 | 74 | 704 | 0 | 1 | 1 | 0.000 | 2 | 24 | 24 | 0 | 2 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 20 | 8 | 4 | 8 | 0 | 27 | 12 | 12 | 16 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 22 | 15 | 25 | 7 | 11 | 6 | 50.0% | 10.0% | 88.9% | 98.9 | FUN |
2 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 1 | 1 | 68 | 33 | 22 | 12 | 1 | 46 | 11 | 20 | 45 | 18 | 3 | 16.67% | 8 | 1 | 87.50% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 49 | 33 | 47 | 16 | 24 | 13 | 66.7% | 7.4% | 95.7% | 103.0 | DULL |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 25 | 6 | 6 | 13 | 0 | 46 | 18 | 16 | 17 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 23 | 16 | 23 | 7 | 12 | 6 | 80.0% | 16.0% | 93.5% | 109.5 | LUCKY |
4 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 0 | 1 | 3 | 0 | 42 | 16 | 14 | 12 | 0 | 70 | 14 | 39 | 38 | 4 | 2 | 50.00% | 13 | 1 | 92.31% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 40 | 24 | 54 | 15 | 25 | 11 | 25.0% | 9.5% | 90.0% | 99.5 | FUN |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 22 | 7 | 9 | 6 | 0 | 33 | 8 | 14 | 24 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 20 | 13 | 25 | 8 | 13 | 6 | 66.7% | 9.1% | 90.9% | 100.0 | FUN |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 45 | 17 | 12 | 16 | 0 | 54 | 18 | 24 | 26 | 9 | 1 | 11.11% | 11 | 1 | 90.91% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 50 | 35 | 43 | 15 | 25 | 13 | 42.9% | 8.9% | 90.7% | 99.6 | Unlucky |
7 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 26 | 7 | 5 | 14 | 0 | 21 | 9 | 12 | 22 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 19 | 12 | 26 | 8 | 14 | 6 | 0.0% | 7.7% | 81.0% | 88.6 | Unlucky |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 25 | 11 | 5 | 9 | 0 | 45 | 13 | 14 | 25 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 20 | 13 | 27 | 8 | 12 | 6 | 33.3% | 4.0% | 91.1% | 95.1 | Unlucky |
9 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 62 | 21 | 15 | 26 | 0 | 52 | 12 | 18 | 31 | 11 | 1 | 9.09% | 9 | 2 | 77.78% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 46 | 31 | 48 | 16 | 24 | 11 | 30.0% | 6.5% | 82.7% | 89.1 | Unlucky |
10 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 9 | 5 | 7 | 0 | 20 | 11 | 6 | 13 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 23 | 16 | 22 | 7 | 13 | 7 | 25.0% | 4.8% | 85.0% | 89.8 | Unlucky |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 30 | 7 | 14 | 9 | 0 | 20 | 7 | 10 | 12 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 22 | 15 | 24 | 7 | 12 | 6 | 66.7% | 13.3% | 85.0% | 98.3 | FUN |
12 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 44 | 9 | 19 | 16 | 2 | 55 | 27 | 18 | 59 | 7 | 2 | 28.57% | 7 | 2 | 71.43% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 47 | 33 | 50 | 15 | 27 | 12 | 0.0% | 4.5% | 92.7% | 97.3 | DULL |
13 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 4 | 4 | 2 | 0 | 69 | 23 | 24 | 22 | 0 | 73 | 7 | 24 | 48 | 10 | 3 | 30.00% | 11 | 3 | 72.73% | 1 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 46 | 31 | 46 | 15 | 27 | 13 | 70.0% | 14.5% | 91.8% | 106.3 | LUCKY |
14 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 57 | 18 | 14 | 21 | 4 | 50 | 18 | 29 | 53 | 7 | 3 | 42.86% | 7 | 2 | 71.43% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 52 | 37 | 43 | 14 | 26 | 13 | 50.0% | 15.8% | 84.0% | 99.8 | FUN |
15 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 28 | 10 | 9 | 9 | 0 | 33 | 7 | 2 | 24 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 24 | 16 | 21 | 8 | 13 | 7 | 28.6% | 7.1% | 84.8% | 92.0 | Unlucky |
16 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 37 | 10 | 9 | 18 | 0 | 28 | 10 | 10 | 22 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 25 | 18 | 22 | 7 | 12 | 6 | 71.4% | 13.5% | 85.7% | 99.2 | FUN |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 30 | 8 | 10 | 12 | 0 | 32 | 12 | 6 | 24 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 22 | 15 | 24 | 6 | 12 | 6 | 40.0% | 6.7% | 90.6% | 97.3 | Unlucky |
_Vs Division | 6 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 13 | 15 | -2 | 4 | 0.333 | 13 | 25 | 38 | 1 | 0 | 3 | 4 | 5 | 1 | 152 | 64 | 49 | 38 | 1 | 176 | 45 | 85 | 123 | 24 | 5 | 20.83% | 33 | 5 | 84.85% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 133 | 86 | 152 | 47 | 75 | 37 | 44.4% | 8.6% | 91.5% | 100.0 | DULL | |
_Vs Conference | 14 | 4 | 8 | 0 | 1 | 1 | 0 | 0 | 36 | 44 | -8 | 11 | 0.393 | 36 | 69 | 105 | 1 | 0 | 9 | 10 | 16 | 1 | 367 | 133 | 101 | 128 | 5 | 399 | 120 | 184 | 272 | 57 | 12 | 21.05% | 73 | 13 | 82.19% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 326 | 220 | 339 | 109 | 178 | 88 | 43.6% | 9.8% | 89.0% | 98.8 | FUN | |
_Since Last GM Reset | 24 | 8 | 13 | 0 | 1 | 1 | 0 | 1 | 63 | 76 | -13 | 20 | 0.417 | 63 | 119 | 182 | 1 | 0 | 17 | 22 | 23 | 1 | 651 | 220 | 196 | 230 | 7 | 705 | 214 | 274 | 499 | 89 | 17 | 19.10% | 112 | 23 | 79.46% | 1 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 558 | 380 | 580 | 185 | 310 | 154 | 46.5% | 9.7% | 89.2% | 98.9 | FUN | |
Total | 24 | 8 | 13 | 0 | 1 | 1 | 0 | 1 | 63 | 76 | -13 | 20 | 0.417 | 63 | 119 | 182 | 1 | 0 | 17 | 22 | 23 | 1 | 651 | 220 | 196 | 230 | 7 | 705 | 214 | 274 | 499 | 89 | 17 | 19.10% | 112 | 23 | 79.46% | 1 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 558 | 380 | 580 | 185 | 310 | 154 | 46.5% | 9.7% | 89.2% | 98.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 755 |
Neutral Zone Start | 378 |
Defensive Zone Start | 860 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1043 |
Faceoffs Lost | 950 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 17.3 | 20.31 |
3rd Period | 26.9 | 30.68 |
Overtime | 27.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 44 |
---|---|
PP Goal | 17 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 6 | 3 |
Lost | 7 | 6 |
Overtime Lost | 1 | 1 |
PP Attempt | 89 |
---|---|
PP Goal | 17 |
PK Attempt | 112 |
PK Goal Against | 23 |
Home | |
---|---|
Shots For | 27.1 |
Shots Against | 29.4 |
Goals For | 2.6 |
Goals Against | 3.2 |
Hits | 20.8 |
Shots Blocked | 8.9 |
Pim | 11.4 |
![]() | |
Projected Total Cap Hit | 77,925,175$ |
Projected Cap Space | 4,574,825$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 24,325,877$ |
Players In Salary Cap | 23 |
Contracts | 53/50 |
LTIR Players | 0 |
Red Wings Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Blake Lizotte ![]() | C | 25 | 1,675,000$ | 1,675,000$ | 1,675,000$ | ![]() | |||||
Brandon Duhaime ![]() | LW/RW | 26 | 750,000$ | 750,000$ | 1,100,000$ | UFA | |||||
Cal Petersen ![]() | G | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Darnell Nurse ![]() | D | 28 | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ |
Derick Brassard ![]() | C/LW | 36 | 750,000$ | 750,000$ | UFA | ||||||
Dominik Kubalik ![]() | LW/RW | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Drake Caggiula ![]() | LW/RW | 29 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Dylan Larkin ![]() | C | 27 | 6,100,000$ | 6,100,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ |
Gavin Bayreuther ![]() | D | 29 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Gustav Nyquist ![]() | LW/RW | 34 | 5,500,000$ | 5,500,000$ | 3,185,000$ | 3,185,000$ | UFA | ||||
Jakob Chychrun ![]() | D | 25 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | ||||
Jakub Vrana ![]() | LW | 27 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
Lucas Carlsson ![]() | D | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Marcus Pettersson ![]() | D | 27 | 4,025,175$ | 4,025,175$ | 4,025,175$ | 4,025,175$ | UFA | ||||
Mason Marchment ![]() | LW/RW | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Morgan Barron ![]() | C/LW/RW | 25 | 1,775,000$ | 1,775,000$ | 1,350,000$ | 1,350,000$ | ![]() | ||||
Niko Mikkola ![]() | D | 27 | 1,900,000$ | 1,900,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Oskar Sundqvist ![]() | C/RW | 29 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Sean Couturier ![]() | C | 31 | 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$ |
Sean Walker ![]() | D | 29 | 2,650,000$ | 2,650,000$ | 2,650,000$ | UFA | |||||
Tyler Bertuzzi ![]() | LW/RW | 28 | 4,750,000$ | 4,750,000$ | 5,500,000$ | UFA | |||||
Victor Mete ![]() | D | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Vitek Vanecek ![]() | G | 27 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Angello ![]() | C/RW | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Billy Sweezey ![]() | D | 27 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Brian Pinho ![]() | C/RW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Cameron Hughes ![]() | C/LW | 27 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Chase Priskie ![]() | D | 27 | 800,000$ | 800,000$ | UFA | ||||||
Cole Mcward ![]() | D | 22 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Collin Adams ![]() | C/LW | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Daniel Walcott ![]() | C/LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Dryden Mckay ![]() | G | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Dylan Sikura ![]() | C/LW/RW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Elmer Soderblom ![]() | C/LW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Hunter Drew ![]() | RW/D | 25 | 793,333$ | 793,333$ | ![]() | ||||||
Hunter Shepard ![]() | G | 28 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Jacob Peterson ![]() | C/LW | 24 | 925,000$ | 925,000$ | 775,000$ | ![]() | |||||
James Hamblin ![]() | C/LW/RW | 24 | 807,500$ | 807,500$ | 807,500$ | ![]() | |||||
Jeff Malott ![]() | C/LW | 27 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Jeremie Poirier ![]() | D | 21 | 833,333$ | 833,333$ | 833,333$ | RFA | |||||
John Lethemon ![]() | G | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Justin Bailey ![]() | RW | 28 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Kirill Tyutyayev ![]() | C/LW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Lawrence Pilut ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Max McCormick ![]() | C/LW | 31 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Mitchell Chaffee ![]() | RW | 25 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Olivier Rodrigue ![]() | G | 23 | 910,833$ | 910,833$ | 775,000$ | RFA | |||||
Peetro Seppala ![]() | D | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Pontus Holmberg ![]() | C/RW | 24 | 827,500$ | 827,500$ | 800,000$ | 800,000$ | ![]() | ||||
Slater Koekkoek ![]() | D | 29 | 925,000$ | 925,000$ | UFA | ||||||
Tanner Laczynski ![]() | C/RW | 26 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Timur Ibragimov ![]() | C/LW | 23 | 820,000$ | 820,000$ | RFA | ||||||
William Lagesson ![]() | D | 27 | 750,000$ | 750,000$ | 775,000$ | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 20 | 8 | 4 | 8 | 0 | 27 | 12 | 12 | 16 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 22 | 15 | 25 | 7 | 11 | 6 | 50.0% | 10.0% | 88.9% | 98.9 | FUN |
2 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 1 | 1 | 68 | 33 | 22 | 12 | 1 | 46 | 11 | 20 | 45 | 18 | 3 | 16.67% | 8 | 1 | 87.50% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 49 | 33 | 47 | 16 | 24 | 13 | 66.7% | 7.4% | 95.7% | 103.0 | DULL |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 25 | 6 | 6 | 13 | 0 | 46 | 18 | 16 | 17 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 23 | 16 | 23 | 7 | 12 | 6 | 80.0% | 16.0% | 93.5% | 109.5 | LUCKY |
4 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 0 | 1 | 3 | 0 | 42 | 16 | 14 | 12 | 0 | 70 | 14 | 39 | 38 | 4 | 2 | 50.00% | 13 | 1 | 92.31% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 40 | 24 | 54 | 15 | 25 | 11 | 25.0% | 9.5% | 90.0% | 99.5 | FUN |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 22 | 7 | 9 | 6 | 0 | 33 | 8 | 14 | 24 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 20 | 13 | 25 | 8 | 13 | 6 | 66.7% | 9.1% | 90.9% | 100.0 | FUN |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 45 | 17 | 12 | 16 | 0 | 54 | 18 | 24 | 26 | 9 | 1 | 11.11% | 11 | 1 | 90.91% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 50 | 35 | 43 | 15 | 25 | 13 | 42.9% | 8.9% | 90.7% | 99.6 | Unlucky |
7 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 26 | 7 | 5 | 14 | 0 | 21 | 9 | 12 | 22 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 19 | 12 | 26 | 8 | 14 | 6 | 0.0% | 7.7% | 81.0% | 88.6 | Unlucky |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 25 | 11 | 5 | 9 | 0 | 45 | 13 | 14 | 25 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 20 | 13 | 27 | 8 | 12 | 6 | 33.3% | 4.0% | 91.1% | 95.1 | Unlucky |
9 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 62 | 21 | 15 | 26 | 0 | 52 | 12 | 18 | 31 | 11 | 1 | 9.09% | 9 | 2 | 77.78% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 46 | 31 | 48 | 16 | 24 | 11 | 30.0% | 6.5% | 82.7% | 89.1 | Unlucky |
10 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 9 | 5 | 7 | 0 | 20 | 11 | 6 | 13 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 23 | 16 | 22 | 7 | 13 | 7 | 25.0% | 4.8% | 85.0% | 89.8 | Unlucky |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 30 | 7 | 14 | 9 | 0 | 20 | 7 | 10 | 12 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 22 | 15 | 24 | 7 | 12 | 6 | 66.7% | 13.3% | 85.0% | 98.3 | FUN |
12 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 44 | 9 | 19 | 16 | 2 | 55 | 27 | 18 | 59 | 7 | 2 | 28.57% | 7 | 2 | 71.43% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 47 | 33 | 50 | 15 | 27 | 12 | 0.0% | 4.5% | 92.7% | 97.3 | DULL |
13 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 4 | 4 | 2 | 0 | 69 | 23 | 24 | 22 | 0 | 73 | 7 | 24 | 48 | 10 | 3 | 30.00% | 11 | 3 | 72.73% | 1 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 46 | 31 | 46 | 15 | 27 | 13 | 70.0% | 14.5% | 91.8% | 106.3 | LUCKY |
14 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 57 | 18 | 14 | 21 | 4 | 50 | 18 | 29 | 53 | 7 | 3 | 42.86% | 7 | 2 | 71.43% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 52 | 37 | 43 | 14 | 26 | 13 | 50.0% | 15.8% | 84.0% | 99.8 | FUN |
15 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 28 | 10 | 9 | 9 | 0 | 33 | 7 | 2 | 24 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 24 | 16 | 21 | 8 | 13 | 7 | 28.6% | 7.1% | 84.8% | 92.0 | Unlucky |
16 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 37 | 10 | 9 | 18 | 0 | 28 | 10 | 10 | 22 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 25 | 18 | 22 | 7 | 12 | 6 | 71.4% | 13.5% | 85.7% | 99.2 | FUN |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 30 | 8 | 10 | 12 | 0 | 32 | 12 | 6 | 24 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 22 | 15 | 24 | 6 | 12 | 6 | 40.0% | 6.7% | 90.6% | 97.3 | Unlucky |
_Vs Division | 6 | 1 | 4 | 0 | 1 | 0 | 0 | 0 | 13 | 15 | -2 | 4 | 0.333 | 13 | 25 | 38 | 1 | 0 | 3 | 4 | 5 | 1 | 152 | 64 | 49 | 38 | 1 | 176 | 45 | 85 | 123 | 24 | 5 | 20.83% | 33 | 5 | 84.85% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 133 | 86 | 152 | 47 | 75 | 37 | 44.4% | 8.6% | 91.5% | 100.0 | DULL | |
_Vs Conference | 14 | 4 | 8 | 0 | 1 | 1 | 0 | 0 | 36 | 44 | -8 | 11 | 0.393 | 36 | 69 | 105 | 1 | 0 | 9 | 10 | 16 | 1 | 367 | 133 | 101 | 128 | 5 | 399 | 120 | 184 | 272 | 57 | 12 | 21.05% | 73 | 13 | 82.19% | 0 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 326 | 220 | 339 | 109 | 178 | 88 | 43.6% | 9.8% | 89.0% | 98.8 | FUN | |
_Since Last GM Reset | 24 | 8 | 13 | 0 | 1 | 1 | 0 | 1 | 63 | 76 | -13 | 20 | 0.417 | 63 | 119 | 182 | 1 | 0 | 17 | 22 | 23 | 1 | 651 | 220 | 196 | 230 | 7 | 705 | 214 | 274 | 499 | 89 | 17 | 19.10% | 112 | 23 | 79.46% | 1 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 558 | 380 | 580 | 185 | 310 | 154 | 46.5% | 9.7% | 89.2% | 98.9 | FUN | |
Total | 24 | 8 | 13 | 0 | 1 | 1 | 0 | 1 | 63 | 76 | -13 | 20 | 0.417 | 63 | 119 | 182 | 1 | 0 | 17 | 22 | 23 | 1 | 651 | 220 | 196 | 230 | 7 | 705 | 214 | 274 | 499 | 89 | 17 | 19.10% | 112 | 23 | 79.46% | 1 | 374 | 755 | 49.54% | 459 | 860 | 53.37% | 210 | 378 | 55.56% | 558 | 380 | 580 | 185 | 310 | 154 | 46.5% | 9.7% | 89.2% | 98.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 755 |
Neutral Zone Start | 378 |
Defensive Zone Start | 860 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1043 |
Faceoffs Lost | 950 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 17.3 | 20.31 |
3rd Period | 26.9 | 30.68 |
Overtime | 27.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 44 |
---|---|
PP Goal | 17 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 6 | 3 |
Lost | 7 | 6 |
Overtime Lost | 1 | 1 |
PP Attempt | 89 |
---|---|
PP Goal | 17 |
PK Attempt | 112 |
PK Goal Against | 23 |
Home | |
---|---|
Shots For | 27.1 |
Shots Against | 29.4 |
Goals For | 2.6 |
Goals Against | 3.2 |
Hits | 20.8 |
Shots Blocked | 8.9 |
Pim | 11.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fri, Oct 20 | ![]() | @ | ![]() | MON3,DET2 | RECAP | |||||||||
Sat, Oct 21 | ![]() | @ | ![]() | DET4,NJD5 (OT) | RECAP | |||||||||
Mon, Oct 23 | ![]() | @ | ![]() | LAK3,DET2 (SO) | RECAP | |||||||||
Fri, Oct 27 | ![]() | @ | ![]() | DET1,CHI4 | RECAP | |||||||||
Sun, Oct 29 | ![]() | @ | ![]() | ANA3,DET4 | RECAP | |||||||||
Tue, Oct 31 | ![]() | @ | ![]() | NJD3,DET5 | RECAP | |||||||||
Thu, Nov 2 | ![]() | @ | ![]() | DET2,BOS3 | RECAP | |||||||||
Sat, Nov 4 | ![]() | @ | ![]() | MIN3,DET4 | RECAP | |||||||||
Mon, Nov 6 | ![]() | @ | ![]() | DET2,BUF1 (OT) | RECAP | |||||||||
Thu, Nov 9 | ![]() | @ | ![]() | WAS3,DET4 | RECAP | |||||||||
Sat, Nov 11 | ![]() | @ | ![]() | NYI4,DET2 | RECAP | |||||||||
Sun, Nov 12 | ![]() | @ | ![]() | DET2,NYR1 | RECAP | |||||||||
Tue, Nov 14 | ![]() | @ | ![]() | MON4,DET2 | RECAP | |||||||||
Thu, Nov 16 | ![]() | @ | ![]() | NYR4,DET2 | RECAP | |||||||||
Sat, Nov 18 | ![]() | @ | ![]() | DET0,LAK1 | RECAP | |||||||||
Tue, Nov 21 | ![]() | @ | ![]() | DET6,ANA3 | RECAP | |||||||||
Thu, Nov 23 | ![]() | @ | ![]() | DET1,SAN3 | RECAP | |||||||||
Sat, Nov 25 | ![]() | @ | ![]() | DET1,CLB5 | RECAP | |||||||||
Wed, Nov 29 | ![]() | @ | ![]() | NAS4,DET5 | RECAP | |||||||||
Fri, Dec 1 | ![]() | @ | ![]() | ARI5,DET2 | RECAP | |||||||||
Mon, Dec 4 | ![]() | @ | ![]() | TOR3,DET2 | RECAP | |||||||||
Wed, Dec 6 | ![]() | @ | ![]() | BUF1,DET3 | RECAP | |||||||||
Sat, Dec 9 | ![]() | @ | ![]() | VGK3,DET2 | RECAP | |||||||||
Sun, Dec 10 | ![]() | @ | ![]() | DET3,CLB4 | RECAP | |||||||||
Tue, Dec 12 | ![]() | @ | ![]() | |||||||||||
Thu, Dec 14 | ![]() | @ | ![]() | |||||||||||
Sat, Dec 16 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 19 | ![]() | @ | ![]() | |||||||||||
Wed, Dec 20 | ![]() | @ | ![]() | |||||||||||
Sat, Dec 23 | ![]() | @ | ![]() | |||||||||||
Mon, Dec 25 | ![]() | @ | ![]() | |||||||||||
Wed, Dec 27 | ![]() | @ | ![]() | |||||||||||
Fri, Dec 29 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 3 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 4 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 6 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 10 | ![]() | @ | ![]() | |||||||||||
Fri, Jan 12 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 13 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 16 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 18 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 20 | ![]() | @ | ![]() | |||||||||||
Mon, Jan 22 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 23 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 25 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 27 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 30 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 1 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 2 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 13 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 15 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 17 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 19 | ![]() | @ | ![]() | |||||||||||
Wed, Feb 21 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 22 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 24 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 27 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 29 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Sat, Mar 2 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 5 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 7 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 9 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 10 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 13 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 16 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 17 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 19 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 23 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 25 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 26 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 28 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 30 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 2 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 4 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 5 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 7 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 9 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 11 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 13 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 15 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 16 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 18 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
77,925,175$ | 0$ | 77,925,175$ | 4,574,825$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Little Caesars Arena | |
City | Detroit | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 75$ | 38$ | 27$ | 14$ | 140$ |
Attendance | 67775 | 54895 | 41031 | 55702 | 13673 |
Attendance PCT | 96.82% | 98.03% | 97.69% | 99.47% | 97.66% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
27 | 16648 - 97.93% | 1,167,630$ | 16,346,819$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
77,925,175$ | 77,925,175$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
24,325,877$ | 77,925,175$ | 24,325,877$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
31,526,008$ | 130 | 412,303$ | 53,599,390$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
55,257,410$ | 77,925,175$ | 4,451,226$ | -16,592,394$ |
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 | Ronde 7 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Abram Wiebe | ![]() | 2023 | 154 | Link | |
Adam Engstrom | ![]() | 2023 | 52 | Link | |
Arvid Costmar | ![]() | 2020 | 131 | Link | |
Bulat Shafigulin | ![]() | 2019 | 84 | Link | |
Case McCarthy | ![]() | 2020 | 127 | Link | |
Cruz Lucius | ![]() | 2023 | 70 | Link | |
Elias Pettersson | ![]() | 2023 | 94 | Link | |
Jack Devine | ![]() | 2023 | 160 | Link | |
Jonathan Lekkerimaki | ![]() | 2023 | 20 | Link | |
Ludwig Persson | ![]() | 2023 | 120 | Link | |
Nico Gross | ![]() | 2019 | 113 | Link | |
Niklas Nordgren | ![]() | 2019 | 54 | Link | |
Rhett Pitlick | ![]() | 2020 | 122 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Abram Wiebe | ![]() | 2023 | 154 | Link | |
Adam Engstrom | ![]() | 2023 | 52 | Link | |
Arvid Costmar | ![]() | 2020 | 131 | Link | |
Bulat Shafigulin | ![]() | 2019 | 84 | Link | |
Case McCarthy | ![]() | 2020 | 127 | Link | |
Cruz Lucius | ![]() | 2023 | 70 | Link | |
Elias Pettersson | ![]() | 2023 | 94 | Link | |
Jack Devine | ![]() | 2023 | 160 | Link | |
Jonathan Lekkerimaki | ![]() | 2023 | 20 | Link | |
Ludwig Persson | ![]() | 2023 | 120 | Link | |
Nico Gross | ![]() | 2019 | 113 | Link | |
Niklas Nordgren | ![]() | 2019 | 54 | Link | |
Rhett Pitlick | ![]() | 2020 | 122 | Link |
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