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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C/LW | 99.00 | 71 | 69 | 69 | 67 | 82 | 80 | 78 | 84 | 79 | 78 | 82 | 66 | 70 | 74 | 87 | 0 | 80 | 31 | 7,000,000$/7yrs | |||||
![]() | LW/RW | 98.00 | 84 | 58 | 60 | 72 | 82 | 81 | 77 | 73 | 56 | 77 | 80 | 66 | 56 | 81 | 60 | 0 | 78 | 32 | 5,125,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 66 | 40 | 85 | 81 | 74 | 76 | 88 | 73 | 61 | 79 | 73 | 69 | 71 | 70 | 59 | 0 | 77 | 30 | 4,250,000$/2yrs | |||||
![]() | C/LW | 98.00 | 81 | 40 | 84 | 70 | 85 | 74 | 93 | 65 | 89 | 73 | 69 | 78 | 54 | 92 | 86 | 0 | 77 | 35 | 6,000,000$/5yrs | |||||
![]() | C | 99.00 | 65 | 65 | 79 | 73 | 77 | 78 | 77 | 68 | 95 | 77 | 69 | 69 | 73 | 88 | 98 | 0 | 76 | 35 | 10,500,000$/1yrs | |||||
![]() | C/LW | 100.00 | 72 | 48 | 85 | 70 | 77 | 71 | 88 | 62 | 71 | 73 | 62 | 76 | 54 | 65 | 59 | 0 | 72 | 28 | 2,650,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 72 | 40 | 84 | 65 | 78 | 72 | 74 | 65 | 74 | 75 | 66 | 67 | 91 | 76 | 60 | 0 | 72 | 33 | 5,000,000$/2yrs | |||||
![]() | C/LW | 100.00 | 68 | 40 | 90 | 67 | 69 | 71 | 90 | 63 | 73 | 71 | 68 | 75 | 81 | 60 | 58 | 0 | 72 | 27 | 3,250,000$/1yrs | |||||
![]() | C/LW | 100.00 | 72 | 59 | 82 | 67 | 78 | 66 | 86 | 61 | 87 | 72 | 62 | 80 | 54 | 66 | 59 | 0 | 71 | 31 | 1,750,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 71 | 40 | 90 | 62 | 84 | 63 | 68 | 60 | 62 | 72 | 61 | 75 | 54 | 56 | 58 | 0 | 69 | 22 | 883,333$/2yrs | |||||
![]() | C/LW | 100.00 | 77 | 66 | 78 | 61 | 75 | 62 | 75 | 60 | 66 | 67 | 63 | 69 | 54 | 59 | 58 | 0 | 68 | 27 | 825,000$/2yrs | |||||
![]() | C | 100.00 | 63 | 53 | 77 | 61 | 70 | 64 | 71 | 57 | 69 | 61 | 58 | 66 | 54 | 65 | 59 | 0 | 65 | 30 | 1,300,000$/2yrs | |||||
![]() | D | 99.00 | 67 | 40 | 78 | 88 | 79 | 96 | 89 | 79 | 40 | 86 | 70 | 79 | 61 | 80 | 82 | 0 | 83 | 33 | 9,059,000$/6yrs | |||||
![]() | D | 100.00 | 76 | 40 | 82 | 87 | 90 | 89 | 89 | 67 | 40 | 79 | 64 | 85 | 54 | 76 | 60 | 0 | 80 | 32 | 5,100,000$/3yrs | |||||
![]() | D | 99.00 | 76 | 64 | 81 | 79 | 73 | 84 | 93 | 61 | 40 | 73 | 58 | 89 | 54 | 62 | 59 | 0 | 75 | 31 | 2,000,000$/4yrs | |||||
![]() | D | 100.00 | 75 | 57 | 84 | 60 | 78 | 78 | 91 | 59 | 40 | 71 | 59 | 85 | 54 | 89 | 76 | 0 | 73 | 36 | 750,000$/2yrs | |||||
![]() | D | 100.00 | 65 | 50 | 88 | 71 | 78 | 73 | 74 | 59 | 40 | 71 | 61 | 80 | 54 | 69 | 59 | 0 | 72 | 30 | 850,000$/2yrs | |||||
![]() | D | 100.00 | 64 | 58 | 88 | 68 | 73 | 75 | 76 | 59 | 40 | 72 | 59 | 79 | 54 | 65 | 59 | 0 | 71 | 31 | 1,350,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW/RW | 100.00 | 55 | 61 | 66 | 64 | 56 | 66 | 65 | 65 | 55 | 61 | 65 | 61 | 57 | 69 | 61 | 0 | 66 | 30 | 750,000$/1yrs | |||||
![]() | D | 100.00 | 65 | 42 | 85 | 66 | 79 | 65 | 67 | 57 | 40 | 69 | 56 | 75 | 54 | 58 | 58 | 0 | 68 | 25 | 762,500$/2yrs | |||||
TEAM AVERAGE | 99.60 | 70 | 52 | 81 | 70 | 77 | 74 | 80 | 65 | 61 | 73 | 65 | 74 | 60 | 71 | 66 | 0 | 73 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 36 | 100.00 | 67 | 91 | 90 | 81 | 89 | 71 | 84 | 67 | 91 | 75 | 83 | 75 | 62 | 0 | 81 | 30 | 6,400,000$/5yrs | |
![]() | 0 | 98.00 | 76 | 66 | 67 | 86 | 75 | 93 | 77 | 70 | 79 | 70 | 89 | 63 | 56 | 0 | 77 | 31 | 900,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 72 | 79 | 79 | 84 | 82 | 82 | 81 | 69 | 85 | 73 | 86 | 69 | 59 | 0 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Barry Trotz | 85 | 92 | 81 | 85 | 89 | 83 | 57 | CAN | 61 | 5 | 0$ |
General Manager | Frederic Dion |
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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 | Roman Josi | ![]() | 0 | D | 24 | 4 | 23 | 27 | 5 | 24 | 0 | 36 | 60 | 15 | 32 | 6.67% | 18 | 23.98 | 3 | 6 | 9 | 0 | 0 | 0 | 60 | 0 | 1 | 0.00% | 0 | 0 | 1.13 | 0 | 0 | 0.90 | ||
2 | Viktor Arvidsson | ![]() | 0 | LW/RW | 24 | 9 | 11 | 20 | 1 | 12 | 0 | 21 | 67 | 19 | 43 | 13.43% | 1 | 16.68 | 0 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 2 | 35.71% | 0 | 0 | 0.83 | 0 | 0 | 0.77 | ||
3 | Dmitry Orlov | ![]() | 81 | D | 24 | 4 | 14 | 18 | -4 | 28 | 0 | 56 | 47 | 21 | 36 | 8.51% | 21 | 23.64 | 2 | 6 | 8 | 0 | 0 | 0 | 81 | 1 | 0 | 0.00% | 0 | 0 | 0.75 | 0 | 0 | 0.50 | ||
4 | Gabriel Landeskog | ![]() | 92 | C/LW | 24 | 11 | 7 | 18 | 3 | 10 | 0 | 19 | 61 | 18 | 46 | 18.03% | 2 | 19.47 | 3 | 3 | 6 | 0 | 0 | 0 | 4 | 1 | 1 | 56.41% | 0 | 0 | 0.75 | 0 | 1 | 0.76 | ||
5 | Evander Kane | ![]() | 91 | LW/RW | 24 | 8 | 9 | 17 | 4 | 22 | 0 | 78 | 66 | 19 | 40 | 12.12% | 1 | 19.71 | 5 | 5 | 10 | 0 | 0 | 0 | 0 | 3 | 0 | 35.90% | 0 | 0 | 0.71 | 0 | 0 | 0.71 | ||
6 | Jonathan Toews | ![]() | 19 | C | 24 | 3 | 12 | 15 | 0 | 23 | 5 | 27 | 44 | 11 | 35 | 6.82% | 1 | 17.72 | 1 | 6 | 7 | 0 | 0 | 0 | 1 | 0 | 0 | 59.33% | 0 | 0 | 0.63 | 0 | 0 | 0.45 | ||
7 | Jordan Staal | ![]() | 11 | C/LW | 24 | 7 | 8 | 15 | 4 | 8 | 0 | 25 | 35 | 11 | 38 | 20.00% | 4 | 20.78 | 3 | 1 | 4 | 0 | 0 | 0 | 46 | 2 | 1 | 57.39% | 0 | 0 | 0.63 | 0 | 0 | 0.61 | ||
8 | Justin Holl | ![]() | 3 | D | 24 | 2 | 12 | 14 | 3 | 27 | 5 | 65 | 34 | 19 | 27 | 5.88% | 39 | 23.03 | 1 | 4 | 5 | 0 | 0 | 0 | 80 | 0 | 0 | 0.00% | 0 | 0 | 0.58 | 0 | 0 | 0.50 | ||
9 | Tyler Johnson | ![]() | 0 | C/LW/RW | 24 | 4 | 3 | 7 | 1 | 12 | 0 | 29 | 40 | 11 | 18 | 10.00% | 3 | 16.69 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 52.17% | 0 | 0 | 0.29 | 2 | 2 | 0.31 | ||
10 | Marc Staal | ![]() | 0 | D | 24 | 1 | 4 | 5 | -4 | 22 | 0 | 45 | 10 | 6 | 8 | 10.00% | 36 | 19.28 | 0 | 0 | 0 | 0 | 0 | 0 | 76 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.06 | ||
11 | Pius Suter | ![]() | 0 | C/LW | 24 | 3 | 2 | 5 | -4 | 4 | 0 | 7 | 40 | 10 | 30 | 7.50% | 3 | 11.02 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 62.50% | 0 | 0 | 0.21 | 1 | 2 | 0.22 | ||
12 | Aliaksei Protas | ![]() | 0 | C/LW/RW | 24 | 2 | 2 | 4 | -6 | 0 | 0 | 15 | 16 | 6 | 12 | 12.50% | 0 | 8.83 | 0 | 1 | 1 | 0 | 0 | 0 | 14 | 1 | 0 | 47.62% | 0 | 0 | 0.17 | 0 | 0 | 0.10 | ||
13 | Ben Hutton | ![]() | 15 | D | 19 | 1 | 3 | 4 | -7 | 8 | 0 | 28 | 17 | 1 | 5 | 5.88% | 15 | 14.29 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 1 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.07 | ||
14 | Tomas Nosek | ![]() | 0 | C/LW | 24 | 0 | 4 | 4 | -2 | 13 | 5 | 34 | 31 | 2 | 22 | 0.00% | 5 | 12.88 | 0 | 0 | 0 | 0 | 0 | 0 | 103 | 0 | 0 | 53.98% | 0 | 0 | 0.17 | 0 | 0 | 0.13 | ||
15 | Dakota Joshua | ![]() | 0 | C/LW | 24 | 3 | 1 | 4 | -6 | 10 | 0 | 28 | 13 | 1 | 5 | 23.08% | 1 | 7.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 0 | 0 | 0.17 | 0 | 0 | 0.02 | ||
16 | Jordan Oesterle | ![]() | 0 | D | 24 | 0 | 3 | 3 | -5 | 16 | 0 | 36 | 7 | 1 | 7 | 0.00% | 7 | 12.82 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | -0.04 | ||
17 | Dylan Coghlan | ![]() | 0 | D | 5 | 1 | 1 | 2 | 2 | 2 | 0 | 6 | 3 | 1 | 2 | 33.33% | 3 | 15.31 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.45 | ||
18 | Jason Dickinson | ![]() | 17 | C/LW | 24 | 1 | 1 | 2 | -4 | 6 | 0 | 22 | 21 | 9 | 14 | 4.76% | 7 | 12.91 | 0 | 0 | 0 | 0 | 0 | 0 | 104 | 0 | 0 | 53.85% | 0 | 0 | 0.08 | 0 | 0 | 0.06 | ||
Team Total or Average | 408 | 64 | 120 | 184 | -19 | 247 | 15 | 577 | 612 | 181 | 420 | 10.46% | 167 | 16.58 | 22 | 40 | 62 | 772 | 0 | 0 | 0 | 619 | 10 | 6 | 55.96% | 1678 | 0 | 0 | 0 | 0 | 0.54 | 3 | 5 |
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 | David Rittich | ![]() | 12 | 6 | 4 | 1 | 0.902 | 2.56 | 656 | 0 | 1 | 28 | 285 | 0 | 0 | 0 | 0.600 | 5 | 12 | 5 | 1 | 2 | 0 |
2 | John Gibson | ![]() | 4 | 3 | 1 | 0 | 0.911 | 2.26 | 239 | 0 | 0 | 9 | 101 | 0 | 0 | 0 | 0.000 | 0 | 4 | 20 | 0 | 2 | 0 |
Team Total or Average | 16 | 9 | 5 | 1 | 0.904 | 2.48 | 895 | 0 | 1 | 37 | 386 | 0 | 0 | 0 | 0.600 | 5 | 16 | 25 | 1 | 4 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 30 | 7 | 10 | 13 | 0 | 28 | 8 | 6 | 26 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 24 | 17 | 22 | 7 | 13 | 6 | 75.0% | 13.3% | 92.9% | 106.2 | LUCKY |
2 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 0 | 1 | 15 | 4 | 5 | 2 | 4 | 16 | 7 | 6 | 28 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 25 | 17 | 24 | 7 | 13 | 7 | 50.0% | 13.3% | 93.8% | 107.1 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 27 | 7 | 16 | 4 | 0 | 26 | 7 | 10 | 23 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 22 | 15 | 24 | 7 | 13 | 6 | 33.3% | 7.4% | 84.6% | 92.0 | Unlucky |
4 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 1 | 25 | 6 | 8 | 10 | 4 | 44 | 13 | 15 | 19 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 22 | 14 | 27 | 8 | 14 | 7 | 40.0% | 8.0% | 93.2% | 101.2 | DULL |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 26 | 11 | 8 | 7 | 0 | 20 | 5 | 4 | 23 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 23 | 16 | 22 | 7 | 13 | 6 | 66.7% | 11.5% | 90.0% | 101.5 | FUN |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 3 | 4 | 0 | 0 | 34 | 12 | 14 | 8 | 0 | 26 | 10 | 11 | 23 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 25 | 17 | 22 | 6 | 12 | 6 | 71.4% | 20.6% | 88.5% | 109.0 | FUN |
7 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 27 | 8 | 8 | 11 | 0 | 36 | 8 | 4 | 25 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 23 | 16 | 22 | 7 | 13 | 7 | 42.9% | 14.8% | 86.1% | 100.9 | FUN |
8 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 47 | 14 | 11 | 22 | 0 | 47 | 10 | 26 | 59 | 11 | 1 | 9.09% | 13 | 4 | 69.23% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 46 | 30 | 48 | 15 | 25 | 12 | 33.3% | 6.4% | 83.0% | 89.4 | Unlucky |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 3 | 0 | 0 | 45 | 19 | 13 | 13 | 0 | 25 | 2 | 8 | 34 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 27 | 19 | 20 | 7 | 12 | 5 | 66.7% | 8.9% | 96.0% | 104.9 | Unlucky |
10 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 2 | 27 | 9 | 6 | 11 | 3 | 23 | 6 | 10 | 35 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 26 | 17 | 25 | 7 | 13 | 6 | 66.7% | 7.4% | 95.7% | 103.1 | DULL |
11 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 4 | 1 | 1 | 0 | 49 | 19 | 17 | 13 | 0 | 47 | 19 | 24 | 46 | 9 | 4 | 44.44% | 12 | 3 | 75.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 45 | 28 | 47 | 16 | 27 | 13 | 25.0% | 12.2% | 80.9% | 93.1 | FUN |
12 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 29 | 12 | 11 | 6 | 0 | 30 | 5 | 8 | 29 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 24 | 16 | 22 | 7 | 13 | 7 | 60.0% | 10.3% | 86.7% | 97.0 | FUN |
13 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 61 | 19 | 21 | 21 | 0 | 39 | 20 | 10 | 40 | 9 | 3 | 33.33% | 5 | 2 | 60.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 49 | 33 | 43 | 15 | 27 | 14 | 60.0% | 9.8% | 89.7% | 99.6 | FUN |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 1 | 1 | 0 | 35 | 10 | 14 | 11 | 0 | 18 | 8 | 4 | 25 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 25 | 17 | 21 | 7 | 12 | 6 | 100.0% | 5.7% | 100.0% | 105.7 | DULL |
15 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 21 | 2 | 6 | 13 | 0 | 50 | 14 | 16 | 23 | 4 | 1 | 25.00% | 8 | 3 | 62.50% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 20 | 13 | 27 | 8 | 11 | 5 | 20.0% | 9.5% | 86.0% | 95.5 | FUN |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 36 | 11 | 15 | 10 | 0 | 26 | 3 | 16 | 23 | 6 | 2 | 33.33% | 7 | 2 | 71.43% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 24 | 16 | 22 | 7 | 12 | 6 | 33.3% | 11.1% | 76.9% | 88.0 | FUN |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 23 | 6 | 8 | 9 | 0 | 22 | 5 | 8 | 23 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 24 | 17 | 22 | 7 | 13 | 6 | 33.3% | 4.3% | 90.9% | 95.3 | Unlucky |
18 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 37 | 12 | 12 | 13 | 0 | 54 | 16 | 37 | 54 | 11 | 0 | 0.00% | 14 | 1 | 92.86% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 44 | 29 | 49 | 16 | 25 | 12 | 22.2% | 5.4% | 85.2% | 90.6 | Unlucky |
19 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 33 | 5 | 16 | 12 | 0 | 18 | 3 | 12 | 13 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 24 | 16 | 20 | 8 | 14 | 7 | 66.7% | 15.2% | 83.3% | 98.5 | FUN |
20 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 19 | 10 | 5 | 4 | 0 | 17 | 4 | 14 | 19 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 24 | 16 | 22 | 7 | 13 | 6 | 75.0% | 15.8% | 88.2% | 104.0 | FUN |
_Vs Division | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 21 | -3 | 4 | 0.333 | 18 | 33 | 51 | 0 | 1 | 6 | 10 | 2 | 0 | 171 | 57 | 66 | 48 | 0 | 154 | 42 | 76 | 154 | 31 | 5 | 16.13% | 30 | 6 | 80.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 143 | 97 | 138 | 46 | 77 | 38 | 46.4% | 10.5% | 86.4% | 96.9 | FUN | |
_Vs Conference | 14 | 6 | 6 | 0 | 0 | 1 | 1 | 0 | 42 | 47 | -5 | 15 | 0.536 | 42 | 76 | 118 | 0 | 1 | 14 | 18 | 9 | 2 | 381 | 121 | 137 | 122 | 3 | 348 | 108 | 162 | 330 | 60 | 14 | 23.33% | 70 | 16 | 77.14% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 334 | 222 | 324 | 109 | 186 | 92 | 47.5% | 11.0% | 86.5% | 97.5 | FUN | |
_Since Last GM Reset | 24 | 9 | 11 | 0 | 1 | 1 | 1 | 1 | 67 | 75 | -8 | 24 | 0.500 | 67 | 124 | 191 | 0 | 1 | 23 | 28 | 14 | 4 | 646 | 203 | 224 | 213 | 11 | 612 | 173 | 249 | 590 | 97 | 22 | 22.68% | 107 | 25 | 76.64% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 575 | 386 | 560 | 187 | 318 | 158 | 47.4% | 10.4% | 87.7% | 98.1 | FUN | |
Total | 24 | 9 | 11 | 0 | 1 | 1 | 1 | 1 | 67 | 75 | -8 | 24 | 0.500 | 67 | 124 | 191 | 0 | 1 | 23 | 28 | 14 | 4 | 646 | 203 | 224 | 213 | 11 | 612 | 173 | 249 | 590 | 97 | 22 | 22.68% | 107 | 25 | 76.64% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 575 | 386 | 560 | 187 | 318 | 158 | 47.4% | 10.4% | 87.7% | 98.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 794 |
Neutral Zone Start | 360 |
Defensive Zone Start | 762 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1057 |
Faceoffs Lost | 859 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.5 | 9.57 |
2nd Period | 17.8 | 20.31 |
3rd Period | 26.7 | 30.68 |
Overtime | 27.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 45 |
---|---|
PP Goal | 22 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 5 |
Lost | 6 | 5 |
Overtime Lost | 1 | 1 |
PP Attempt | 97 |
---|---|
PP Goal | 22 |
PK Attempt | 107 |
PK Goal Against | 25 |
Home | |
---|---|
Shots For | 26.9 |
Shots Against | 25.5 |
Goals For | 2.8 |
Goals Against | 3.1 |
Hits | 24.6 |
Shots Blocked | 7.2 |
Pim | 10.4 |
![]() | |
Projected Total Cap Hit | 75,379,833$ |
Projected Cap Space | 7,120,167$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 23,606,657$ |
Players In Salary Cap | 23 |
Contracts | 50/50 |
LTIR Players | 0 |
Blackhawks Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aliaksei Protas ![]() | C/LW/RW | 22 | 883,333$ | 883,333$ | 883,333$ | RFA | |||||
Ben Hutton ![]() | D | 30 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Dakota Joshua ![]() | C/LW | 27 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
David Rittich ![]() | G | 31 | 900,000$ | 900,000$ | 875,000$ | UFA | |||||
Dmitry Orlov ![]() | D | 32 | 5,100,000$ | 5,100,000$ | 7,750,000$ | 7,750,000$ | UFA | ||||
Dylan Coghlan ![]() | D | 25 | 762,500$ | 762,500$ | 850,000$ | ![]() | |||||
Evander Kane ![]() | LW/RW | 32 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | |||
Gabriel Landeskog ![]() | C/LW | 31 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA |
Jason Dickinson ![]() | C/LW | 28 | 2,650,000$ | 2,650,000$ | 2,650,000$ | UFA | |||||
John Gibson ![]() | G | 30 | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | UFA | ||
Jonathan Toews ![]() | C | 35 | 10,500,000$ | 10,500,000$ | UFA | ||||||
Jordan Oesterle ![]() | D | 31 | 1,350,000$ | 1,350,000$ | 925,000$ | UFA | |||||
Jordan Staal ![]() | C/LW | 35 | 6,000,000$ | 6,000,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | ||
Justin Holl ![]() | D | 31 | 2,000,000$ | 2,000,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | |||
Kevin Rooney ![]() | C | 30 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Marc Staal ![]() | D | 36 | 750,000$ | 750,000$ | 1,100,000$ | UFA | |||||
Pius Suter ![]() | C/LW | 27 | 3,250,000$ | 3,250,000$ | UFA | ||||||
Rocco Grimaldi ![]() | LW/RW | 30 | 750,000$ | 775,000$ | UFA | ||||||
Roman Josi ![]() | D | 33 | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | UFA | |
Tomas Nosek ![]() | C/LW | 31 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Tyler Johnson ![]() | C/LW/RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Viktor Arvidsson ![]() | LW/RW | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Wilsby ![]() | D | 23 | 842,500$ | 842,500$ | RFA | ||||||
Alex Lyon ![]() ![]() | G | 31 | 750,000$ | 750,000$ | 900,000$ | 900,000$ | UFA | ||||
Andy Andreoff ![]() | C/LW | 32 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Brad Lambert ![]() | C/RW | 19 | 1,168,333$ | 1,168,333$ | 1,168,333$ | 1,168,333$ | 1,168,333$ | RFA | |||
Brent Gates ![]() | C | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Carter Savoie ![]() | C/LW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Cole Clayton ![]() | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Colton Poolman ![]() | D | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Dawson Barteaux ![]() | D | 23 | 783,333$ | 783,333$ | RFA | ||||||
Drake Rymsha ![]() | C | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Dylan Wells ![]() | G | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Eduards Tralmaks ![]() | C/LW/RW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Filip Kral ![]() | D | 24 | 810,000$ | 810,000$ | RFA | ||||||
Jayson Megna ![]() | C/LW/RW | 33 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Joe Gambardella ![]() | C/LW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Jonathan Aspirot ![]() | D | 24 | 768,333$ | 768,333$ | ![]() | ||||||
Joona Luoto ![]() | LW/RW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Josh Lopina ![]() | C | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Kevin Connauton ![]() | D | 33 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Logan Day ![]() | D | 29 | 750,000$ | 775,000$ | UFA | ||||||
Lukas Reichel ![]() | C/LW | 21 | 1,337,500$ | 1,337,500$ | 1,337,500$ | RFA | |||||
Mark Kastelic ![]() | C | 24 | 821,667$ | 821,667$ | ![]() | ||||||
Maxim Marushev ![]() | C | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Robin Salo ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Ryan Bednard ![]() | G | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Ryan Francis ![]() | C/RW | 22 | 750,000$ | 750,000$ | RFA | ||||||
Ryan Jones ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Taylor Ward ![]() | RW | 25 | 925,000$ | 925,000$ | 775,000$ | ![]() | |||||
Zac Dalpe ![]() | C | 34 | 750,000$ | 750,000$ | 775,000$ | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 30 | 7 | 10 | 13 | 0 | 28 | 8 | 6 | 26 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 24 | 17 | 22 | 7 | 13 | 6 | 75.0% | 13.3% | 92.9% | 106.2 | LUCKY |
2 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 0 | 1 | 15 | 4 | 5 | 2 | 4 | 16 | 7 | 6 | 28 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 25 | 17 | 24 | 7 | 13 | 7 | 50.0% | 13.3% | 93.8% | 107.1 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 27 | 7 | 16 | 4 | 0 | 26 | 7 | 10 | 23 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 22 | 15 | 24 | 7 | 13 | 6 | 33.3% | 7.4% | 84.6% | 92.0 | Unlucky |
4 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 1 | 25 | 6 | 8 | 10 | 4 | 44 | 13 | 15 | 19 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 22 | 14 | 27 | 8 | 14 | 7 | 40.0% | 8.0% | 93.2% | 101.2 | DULL |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 26 | 11 | 8 | 7 | 0 | 20 | 5 | 4 | 23 | 3 | 1 | 33.33% | 2 | 1 | 50.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 23 | 16 | 22 | 7 | 13 | 6 | 66.7% | 11.5% | 90.0% | 101.5 | FUN |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 3 | 4 | 0 | 0 | 34 | 12 | 14 | 8 | 0 | 26 | 10 | 11 | 23 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 25 | 17 | 22 | 6 | 12 | 6 | 71.4% | 20.6% | 88.5% | 109.0 | FUN |
7 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 27 | 8 | 8 | 11 | 0 | 36 | 8 | 4 | 25 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 23 | 16 | 22 | 7 | 13 | 7 | 42.9% | 14.8% | 86.1% | 100.9 | FUN |
8 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 47 | 14 | 11 | 22 | 0 | 47 | 10 | 26 | 59 | 11 | 1 | 9.09% | 13 | 4 | 69.23% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 46 | 30 | 48 | 15 | 25 | 12 | 33.3% | 6.4% | 83.0% | 89.4 | Unlucky |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 3 | 0 | 0 | 45 | 19 | 13 | 13 | 0 | 25 | 2 | 8 | 34 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 27 | 19 | 20 | 7 | 12 | 5 | 66.7% | 8.9% | 96.0% | 104.9 | Unlucky |
10 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 2 | 27 | 9 | 6 | 11 | 3 | 23 | 6 | 10 | 35 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 26 | 17 | 25 | 7 | 13 | 6 | 66.7% | 7.4% | 95.7% | 103.1 | DULL |
11 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 4 | 1 | 1 | 0 | 49 | 19 | 17 | 13 | 0 | 47 | 19 | 24 | 46 | 9 | 4 | 44.44% | 12 | 3 | 75.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 45 | 28 | 47 | 16 | 27 | 13 | 25.0% | 12.2% | 80.9% | 93.1 | FUN |
12 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 29 | 12 | 11 | 6 | 0 | 30 | 5 | 8 | 29 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 24 | 16 | 22 | 7 | 13 | 7 | 60.0% | 10.3% | 86.7% | 97.0 | FUN |
13 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 2 | 2 | 0 | 61 | 19 | 21 | 21 | 0 | 39 | 20 | 10 | 40 | 9 | 3 | 33.33% | 5 | 2 | 60.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 49 | 33 | 43 | 15 | 27 | 14 | 60.0% | 9.8% | 89.7% | 99.6 | FUN |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 1 | 1 | 0 | 35 | 10 | 14 | 11 | 0 | 18 | 8 | 4 | 25 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 25 | 17 | 21 | 7 | 12 | 6 | 100.0% | 5.7% | 100.0% | 105.7 | DULL |
15 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 21 | 2 | 6 | 13 | 0 | 50 | 14 | 16 | 23 | 4 | 1 | 25.00% | 8 | 3 | 62.50% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 20 | 13 | 27 | 8 | 11 | 5 | 20.0% | 9.5% | 86.0% | 95.5 | FUN |
16 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 36 | 11 | 15 | 10 | 0 | 26 | 3 | 16 | 23 | 6 | 2 | 33.33% | 7 | 2 | 71.43% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 24 | 16 | 22 | 7 | 12 | 6 | 33.3% | 11.1% | 76.9% | 88.0 | FUN |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 23 | 6 | 8 | 9 | 0 | 22 | 5 | 8 | 23 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 24 | 17 | 22 | 7 | 13 | 6 | 33.3% | 4.3% | 90.9% | 95.3 | Unlucky |
18 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 37 | 12 | 12 | 13 | 0 | 54 | 16 | 37 | 54 | 11 | 0 | 0.00% | 14 | 1 | 92.86% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 44 | 29 | 49 | 16 | 25 | 12 | 22.2% | 5.4% | 85.2% | 90.6 | Unlucky |
19 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 33 | 5 | 16 | 12 | 0 | 18 | 3 | 12 | 13 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 24 | 16 | 20 | 8 | 14 | 7 | 66.7% | 15.2% | 83.3% | 98.5 | FUN |
20 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 19 | 10 | 5 | 4 | 0 | 17 | 4 | 14 | 19 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 24 | 16 | 22 | 7 | 13 | 6 | 75.0% | 15.8% | 88.2% | 104.0 | FUN |
_Vs Division | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 21 | -3 | 4 | 0.333 | 18 | 33 | 51 | 0 | 1 | 6 | 10 | 2 | 0 | 171 | 57 | 66 | 48 | 0 | 154 | 42 | 76 | 154 | 31 | 5 | 16.13% | 30 | 6 | 80.00% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 143 | 97 | 138 | 46 | 77 | 38 | 46.4% | 10.5% | 86.4% | 96.9 | FUN | |
_Vs Conference | 14 | 6 | 6 | 0 | 0 | 1 | 1 | 0 | 42 | 47 | -5 | 15 | 0.536 | 42 | 76 | 118 | 0 | 1 | 14 | 18 | 9 | 2 | 381 | 121 | 137 | 122 | 3 | 348 | 108 | 162 | 330 | 60 | 14 | 23.33% | 70 | 16 | 77.14% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 334 | 222 | 324 | 109 | 186 | 92 | 47.5% | 11.0% | 86.5% | 97.5 | FUN | |
_Since Last GM Reset | 24 | 9 | 11 | 0 | 1 | 1 | 1 | 1 | 67 | 75 | -8 | 24 | 0.500 | 67 | 124 | 191 | 0 | 1 | 23 | 28 | 14 | 4 | 646 | 203 | 224 | 213 | 11 | 612 | 173 | 249 | 590 | 97 | 22 | 22.68% | 107 | 25 | 76.64% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 575 | 386 | 560 | 187 | 318 | 158 | 47.4% | 10.4% | 87.7% | 98.1 | FUN | |
Total | 24 | 9 | 11 | 0 | 1 | 1 | 1 | 1 | 67 | 75 | -8 | 24 | 0.500 | 67 | 124 | 191 | 0 | 1 | 23 | 28 | 14 | 4 | 646 | 203 | 224 | 213 | 11 | 612 | 173 | 249 | 590 | 97 | 22 | 22.68% | 107 | 25 | 76.64% | 0 | 446 | 794 | 56.17% | 423 | 762 | 55.51% | 188 | 360 | 52.22% | 575 | 386 | 560 | 187 | 318 | 158 | 47.4% | 10.4% | 87.7% | 98.1 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 794 |
Neutral Zone Start | 360 |
Defensive Zone Start | 762 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1057 |
Faceoffs Lost | 859 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.5 | 9.57 |
2nd Period | 17.8 | 20.31 |
3rd Period | 26.7 | 30.68 |
Overtime | 27.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 45 |
---|---|
PP Goal | 22 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 6 | 5 |
Lost | 6 | 5 |
Overtime Lost | 1 | 1 |
PP Attempt | 97 |
---|---|
PP Goal | 22 |
PK Attempt | 107 |
PK Goal Against | 25 |
Home | |
---|---|
Shots For | 26.9 |
Shots Against | 25.5 |
Goals For | 2.8 |
Goals Against | 3.1 |
Hits | 24.6 |
Shots Blocked | 7.2 |
Pim | 10.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wed, Oct 18 | ![]() | @ | ![]() | CHI7,COL3 | RECAP | |||||||||
Thu, Oct 19 | ![]() | @ | ![]() | CHI5,VGK3 | RECAP | |||||||||
Sat, Oct 21 | ![]() | @ | ![]() | CHI2,SAN1 (SO) | RECAP | |||||||||
Fri, Oct 27 | ![]() | @ | ![]() | DET1,CHI4 | RECAP | |||||||||
Sun, Oct 29 | ![]() | @ | ![]() | KRA2,CHI3 | RECAP | |||||||||
Tue, Oct 31 | ![]() | @ | ![]() | FLO2,CHI4 | RECAP | |||||||||
Thu, Nov 2 | ![]() | @ | ![]() | EDM5,CHI4 (OT) | RECAP | |||||||||
Sat, Nov 4 | ![]() | @ | ![]() | CHI2,BUF1 (OT) | RECAP | |||||||||
Sun, Nov 5 | ![]() | @ | ![]() | MIN4,CHI3 | RECAP | |||||||||
Tue, Nov 7 | ![]() | @ | ![]() | NYI5,CHI2 | RECAP | |||||||||
Thu, Nov 9 | ![]() | @ | ![]() | LAK2,CHI3 | RECAP | |||||||||
Sat, Nov 11 | ![]() | @ | ![]() | CHI0,WIN4 | RECAP | |||||||||
Thu, Nov 16 | ![]() | @ | ![]() | CHI3,LAK2 | RECAP | |||||||||
Sat, Nov 18 | ![]() | @ | ![]() | CHI2,ANA7 | RECAP | |||||||||
Mon, Nov 20 | ![]() | @ | ![]() | CAR2,CHI3 | RECAP | |||||||||
Wed, Nov 22 | ![]() | @ | ![]() | STL0,CHI2 | RECAP | |||||||||
Sat, Nov 25 | ![]() | @ | ![]() | CHI2,BOS3 (SO) | RECAP | |||||||||
Sun, Nov 26 | ![]() | @ | ![]() | PIT2,CHI1 | RECAP | |||||||||
Wed, Nov 29 | ![]() | @ | ![]() | CHI4,DAL6 | RECAP | |||||||||
Fri, Dec 1 | ![]() | @ | ![]() | MON4,CHI2 | RECAP | |||||||||
Sun, Dec 3 | ![]() | @ | ![]() | WIN4,CHI2 | RECAP | |||||||||
Wed, Dec 6 | ![]() | @ | ![]() | EDM4,CHI2 | RECAP | |||||||||
Sat, Dec 9 | ![]() | @ | ![]() | CHI4,NYR5 | RECAP | |||||||||
Sun, Dec 10 | ![]() | @ | ![]() | CHI1,NYI3 | RECAP | |||||||||
Tue, Dec 12 | ![]() | @ | ![]() | |||||||||||
Fri, Dec 15 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 19 | ![]() | @ | ![]() | |||||||||||
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Thu, Jan 4 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 6 | ![]() | @ | ![]() | |||||||||||
Sun, Jan 7 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 9 | ![]() | @ | ![]() | |||||||||||
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Thu, Jan 18 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 20 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 23 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 25 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 27 | ![]() | @ | ![]() | |||||||||||
Sun, Jan 28 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 30 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 1 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 3 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 13 | ![]() | @ | ![]() | |||||||||||
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Fri, Feb 23 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 25 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 27 | ![]() | @ | ![]() | |||||||||||
Wed, Feb 28 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Sat, Mar 2 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 4 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 5 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 7 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 9 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 11 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 13 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 15 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 16 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 19 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 21 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 23 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 25 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 28 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 30 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 31 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 2 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 4 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 6 | ![]() | @ | ![]() | |||||||||||
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 |
75,379,833$ | 0$ | 75,379,833$ | 7,120,167$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | United Center | |
City | Chicago | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 87$ | 55$ | 34$ | 27$ | 163$ |
Attendance | 61149 | 48479 | 38003 | 35764 | 12440 |
Attendance PCT | 94.08% | 93.23% | 97.44% | 68.78% | 95.69% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
28 | 15064 - 88.61% | 1,406,532$ | 18,284,919$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,379,833$ | 75,354,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
23,606,657$ | 75,379,833$ | 23,606,657$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
39,382,902$ | 130 | 398,835$ | 51,848,550$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
53,420,900$ | 75,379,833$ | 38,653,597$ | 27,551,446$ |
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 |
---|---|---|---|---|---|
Julian Lutz | ![]() | 2023 | 81 | Link | |
Noah Warren | ![]() | 2023 | 49 | Link | |
Patrik Hamrla | ![]() | 2022 | 80 | Link | |
Ryan Mast | ![]() | 2022 | 176 | Link | |
Tanner Dickinson | ![]() | 2021 | 136 | Link | |
Topias Leinonen | ![]() | 2023 | 68 | Link | |
Viktor Persson | ![]() | 2021 | 157 | Link | |
Zachary Bolduc | ![]() | 2022 | 16 | 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 |
---|---|---|---|---|---|
Julian Lutz | ![]() | 2023 | 81 | Link | |
Noah Warren | ![]() | 2023 | 49 | Link | |
Patrik Hamrla | ![]() | 2022 | 80 | Link | |
Ryan Mast | ![]() | 2022 | 176 | Link | |
Tanner Dickinson | ![]() | 2021 | 136 | Link | |
Topias Leinonen | ![]() | 2023 | 68 | Link | |
Viktor Persson | ![]() | 2021 | 157 | Link | |
Zachary Bolduc | ![]() | 2022 | 16 | Link |
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