Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gabriel Landeskog (C) | C/LW | 100.00 | 71 | 69 | 69 | 67 | 82 | 80 | 78 | 84 | 79 | 78 | 82 | 66 | 70 | 74 | 87 | 0 | 80 | 30 | 7,000,000$/7yrs | |||||
Evander Kane | LW/RW | 100.00 | 84 | 58 | 60 | 72 | 82 | 81 | 77 | 73 | 56 | 77 | 80 | 66 | 56 | 81 | 60 | 0 | 78 | 32 | 5,125,000$/4yrs | |||||
Viktor Arvidsson | 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$/2yrs | |||||
Jordan Staal (A) | C/LW | 100.00 | 81 | 40 | 84 | 70 | 85 | 74 | 93 | 65 | 89 | 73 | 69 | 78 | 54 | 92 | 86 | 0 | 77 | 35 | 6,000,000$/5yrs | |||||
Jonathan Toews (A) | C | 100.00 | 65 | 65 | 79 | 73 | 77 | 78 | 77 | 68 | 95 | 77 | 69 | 69 | 73 | 88 | 98 | 0 | 76 | 35 | 10,500,000$/1yrs | |||||
Jason Dickinson | C/LW | 100.00 | 72 | 48 | 85 | 70 | 77 | 71 | 88 | 62 | 71 | 73 | 62 | 76 | 54 | 65 | 59 | 0 | 72 | 28 | 2,650,000$/2yrs | |||||
Tyler Johnson | 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$/2yrs | |||||
Pius Suter | C/LW | 100.00 | 68 | 40 | 90 | 67 | 69 | 71 | 90 | 63 | 73 | 71 | 68 | 75 | 81 | 60 | 58 | 0 | 72 | 27 | 3,250,000$/1yrs | |||||
Derek Grant | C/LW | 100.00 | 68 | 47 | 82 | 61 | 80 | 71 | 80 | 63 | 80 | 74 | 64 | 75 | 54 | 67 | 59 | 0 | 71 | 33 | 1,500,000$/1yrs | |||||
Tomas Nosek | C/LW | 100.00 | 72 | 59 | 82 | 67 | 78 | 66 | 86 | 61 | 87 | 72 | 62 | 80 | 54 | 66 | 59 | 0 | 71 | 31 | 1,750,000$/1yrs | |||||
Aliaksei Protas | 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$/2yrs | |||||
Dakota Joshua | C/LW | 100.00 | 77 | 66 | 78 | 61 | 75 | 62 | 75 | 60 | 66 | 67 | 63 | 69 | 54 | 59 | 58 | 0 | 68 | 27 | 825,000$/2yrs | |||||
Kevin Rooney | C | 100.00 | 63 | 53 | 77 | 61 | 70 | 64 | 71 | 57 | 69 | 61 | 58 | 66 | 54 | 65 | 59 | 0 | 65 | 30 | 1,300,000$/2yrs | |||||
Roman Josi | D | 100.00 | 67 | 40 | 78 | 88 | 79 | 96 | 89 | 79 | 40 | 86 | 70 | 79 | 61 | 80 | 82 | 0 | 83 | 33 | 9,059,000$/6yrs | |||||
Dmitry Orlov | D | 100.00 | 76 | 40 | 82 | 87 | 90 | 89 | 89 | 67 | 40 | 79 | 64 | 85 | 54 | 76 | 60 | 0 | 80 | 32 | 5,100,000$/3yrs | |||||
Justin Holl | D | 100.00 | 76 | 64 | 81 | 79 | 73 | 84 | 93 | 61 | 40 | 73 | 58 | 89 | 54 | 62 | 59 | 0 | 75 | 31 | 2,000,000$/4yrs | |||||
Marc Staal | D | 100.00 | 75 | 57 | 84 | 60 | 78 | 78 | 91 | 59 | 40 | 71 | 59 | 85 | 54 | 89 | 76 | 0 | 73 | 36 | 750,000$/2yrs | |||||
Ben Hutton | D | 100.00 | 65 | 50 | 88 | 71 | 78 | 73 | 74 | 59 | 40 | 71 | 61 | 80 | 54 | 69 | 59 | 0 | 72 | 30 | 850,000$/2yrs | |||||
Jordan Oesterle | D | 100.00 | 64 | 58 | 88 | 68 | 73 | 75 | 76 | 59 | 40 | 72 | 59 | 79 | 54 | 65 | 59 | 0 | 71 | 31 | 1,350,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
Rocco Grimaldi | LW/RW | 100.00 | 55 | 61 | 66 | 64 | 56 | 66 | 65 | 65 | 55 | 61 | 65 | 61 | 57 | 69 | 61 | 0 | 66 | 30 | 750,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 70 | 52 | 81 | 70 | 77 | 75 | 81 | 65 | 63 | 73 | 66 | 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 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
David Rittich | 0 | 100.00 | 76 | 66 | 67 | 86 | 75 | 93 | 77 | 70 | 79 | 70 | 89 | 63 | 56 | 0 | 77 | 31 | 900,000$/2yrs | |
Petr Mrazek | 0 | 100.00 | 68 | 76 | 76 | 80 | 74 | 72 | 77 | 60 | 81 | 67 | 91 | 70 | 63 | 0 | 74 | 31 | 3,800,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 72 | 71 | 72 | 83 | 75 | 83 | 77 | 65 | 80 | 69 | 90 | 67 | 60 | 0 | 76 |
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 |
---|
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 | Gabriel Landeskog | Blackhawks | 92 | C/LW | 10 | 7 | 4 | 11 | 6 | 2 | 0 | 9 | 31 | 12 | 30 | 22.58% | 1 | 19.41 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 73.91% | 0 | 1 | 1.10 | 1 | 2 | 1.29 | ||
2 | Roman Josi | Blackhawks | 0 | D | 10 | 2 | 6 | 8 | 0 | 8 | 0 | 7 | 24 | 11 | 20 | 8.33% | 11 | 22.47 | 1 | 3 | 4 | 0 | 0 | 0 | 8 | 1 | 0 | 0.00% | 0 | 0 | 0.80 | 0 | 0 | 0.68 | ||
3 | Justin Holl | Blackhawks | 3 | D | 10 | 2 | 6 | 8 | 0 | 16 | 0 | 27 | 32 | 10 | 8 | 6.25% | 19 | 23.49 | 2 | 2 | 4 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0.80 | 0 | 0 | 0.66 | ||
4 | Jordan Staal | Blackhawks | 11 | C/LW | 10 | 2 | 5 | 7 | 4 | 2 | 0 | 10 | 28 | 7 | 14 | 7.14% | 2 | 20.77 | 0 | 2 | 2 | 0 | 0 | 0 | 19 | 1 | 0 | 61.11% | 0 | 0 | 0.70 | 0 | 0 | 0.88 | ||
5 | Jonathan Toews | Blackhawks | 19 | C | 10 | 4 | 2 | 6 | -1 | 9 | 5 | 8 | 17 | 1 | 12 | 23.53% | 0 | 18.39 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 65.60% | 0 | 0 | 0.60 | 0 | 0 | 0.44 | ||
6 | Dmitry Orlov | Blackhawks | 81 | D | 10 | 0 | 5 | 5 | 1 | 12 | 0 | 16 | 21 | 8 | 19 | 0.00% | 10 | 23.57 | 0 | 2 | 2 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.39 | ||
7 | Evander Kane | Blackhawks | 91 | LW/RW | 10 | 2 | 3 | 5 | 4 | 14 | 0 | 31 | 26 | 11 | 23 | 7.69% | 1 | 19.82 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 60.00% | 0 | 0 | 0.50 | 0 | 0 | 0.58 | ||
8 | Viktor Arvidsson | Blackhawks | 0 | LW/RW | 10 | 2 | 2 | 4 | 0 | 2 | 0 | 12 | 31 | 10 | 26 | 6.45% | 2 | 17.27 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.40 | 0 | 0 | 0.57 | ||
9 | Derek Grant | Blackhawks | 38 | C/LW | 10 | 1 | 2 | 3 | 2 | 2 | 0 | 4 | 7 | 2 | 7 | 14.29% | 3 | 10.09 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 57.45% | 0 | 0 | 0.30 | 0 | 0 | 0.33 | ||
10 | Ben Hutton | Blackhawks | 15 | D | 10 | 0 | 3 | 3 | 4 | 2 | 0 | 23 | 8 | 2 | 5 | 0.00% | 7 | 15.39 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.45 | ||
11 | Jordan Oesterle | Blackhawks | 0 | D | 10 | 1 | 2 | 3 | 4 | 8 | 0 | 12 | 1 | 3 | 3 | 100.00% | 10 | 12.34 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.29 | ||
12 | Tomas Nosek | Blackhawks | 0 | C/LW | 10 | 1 | 1 | 2 | -1 | 0 | 0 | 10 | 13 | 3 | 11 | 7.69% | 4 | 13.83 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0 | 0 | 51.34% | 0 | 0 | 0.20 | 0 | 0 | 0.23 | ||
13 | Dakota Joshua | Blackhawks | 0 | C/LW | 10 | 2 | 0 | 2 | 2 | 2 | 0 | 7 | 4 | 2 | 3 | 50.00% | 0 | 6.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.24 | ||
14 | Tyler Johnson | Blackhawks | 0 | C/LW/RW | 10 | 1 | 1 | 2 | -1 | 2 | 0 | 9 | 12 | 2 | 11 | 8.33% | 5 | 13.72 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 0 | 0 | 0.20 | 1 | 2 | 0.23 | ||
15 | Aliaksei Protas | Blackhawks | 0 | C/LW/RW | 10 | 0 | 1 | 1 | 2 | 0 | 0 | 4 | 14 | 1 | 5 | 0.00% | 0 | 7.72 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.10 | 0 | 0 | 0.25 | ||
16 | Jason Dickinson | Blackhawks | 17 | C/LW | 10 | 0 | 1 | 1 | -1 | 4 | 0 | 11 | 11 | 6 | 8 | 0.00% | 1 | 13.75 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 90.00% | 0 | 0 | 0.10 | 0 | 0 | 0.10 | ||
17 | Marc Staal | Blackhawks | 0 | D | 10 | 0 | 1 | 1 | 1 | 2 | 0 | 10 | 9 | 1 | 3 | 0.00% | 11 | 18.93 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0.10 | 0 | 0 | 0.19 | ||
18 | Pius Suter | Blackhawks | 0 | C/LW | 10 | 1 | 0 | 1 | 0 | 6 | 0 | 4 | 17 | 4 | 16 | 5.88% | 3 | 17.17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.10 | 0 | 2 | 0.15 | ||
Team Total or Average | 180 | 28 | 45 | 73 | 26 | 93 | 5 | 214 | 306 | 96 | 224 | 9.15% | 90 | 16.38 | 8 | 14 | 22 | 449 | 0 | 0 | 0 | 260 | 5 | 3 | 59.34% | 846 | 0 | 0 | 0 | 1 | 0.50 | 2 | 6 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | David Rittich | Blackhawks | 9 | 5 | 2 | 1 | 0.906 | 1.96 | 520 | 0 | 1 | 17 | 181 | 0 | 0 | 1 | 0.500 | 2 | 8 | 2 | 0 | 0 | 0 |
2 | Petr Mrazek | Blackhawks | 2 | 1 | 1 | 0 | 0.854 | 4.09 | 88 | 0 | 0 | 6 | 41 | 0 | 0 | 0 | 0.667 | 3 | 2 | 8 | 0 | 0 | 0 |
Team Total or Average | 11 | 6 | 3 | 1 | 0.896 | 2.27 | 608 | 0 | 1 | 23 | 222 | 0 | 0 | 1 | 0.600 | 5 | 10 | 10 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Avalanches | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 5 | 1 | 3 | 0.750 | 6 | 8 | 14 | 0 | 0 | 2 | 3 | 1 | 0 | 56 | 22 | 8 | 24 | 5 | 43 | 14 | 12 | 40 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 50 | 34 | 47 | 15 | 27 | 13 | 55.6% | 10.7% | 88.4% | 99.1 | FUN |
2 | Wild | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 4 | 1 | 0 | 66 | 24 | 24 | 18 | 0 | 44 | 23 | 21 | 56 | 9 | 1 | 11.11% | 7 | 2 | 71.43% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 49 | 33 | 43 | 15 | 27 | 13 | 50.0% | 7.6% | 86.4% | 93.9 | Unlucky |
3 | Blues | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 40 | 19 | 9 | 12 | 0 | 14 | 3 | 10 | 10 | 8 | 1 | 12.50% | 5 | 2 | 60.00% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 25 | 18 | 22 | 8 | 12 | 5 | 100.0% | 10.0% | 85.7% | 95.7 | FUN |
4 | Stars | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 1 | 0 | 0 | 1 | 3 | 2 | 54 | 13 | 17 | 21 | 6 | 70 | 27 | 32 | 54 | 13 | 2 | 15.38% | 14 | 2 | 85.71% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 49 | 32 | 49 | 16 | 26 | 12 | 42.9% | 9.3% | 91.4% | 100.7 | LUCKY |
5 | Coyotes | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 35 | 10 | 13 | 12 | 0 | 22 | 14 | 4 | 19 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 26 | 19 | 21 | 7 | 12 | 6 | 25.0% | 2.9% | 81.8% | 84.7 | Unlucky |
6 | Predateurs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 4 | 2 | 2 | 0 | 55 | 23 | 15 | 17 | 0 | 30 | 9 | 14 | 35 | 12 | 3 | 25.00% | 7 | 1 | 85.71% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 52 | 35 | 39 | 15 | 27 | 14 | 83.3% | 14.5% | 93.3% | 107.9 | LUCKY |
_Vs Division | 10 | 5 | 3 | 0 | 0 | 0 | 1 | 1 | 29 | 25 | 4 | 13 | 0.650 | 29 | 45 | 74 | 1 | 1 | 10 | 11 | 7 | 2 | 306 | 111 | 86 | 104 | 11 | 223 | 90 | 93 | 214 | 54 | 8 | 14.81% | 41 | 9 | 78.05% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 254 | 174 | 223 | 78 | 132 | 66 | 56.8% | 9.5% | 88.8% | 98.3 | FUN | |
_Vs Conference | 10 | 5 | 3 | 0 | 0 | 0 | 1 | 1 | 29 | 25 | 4 | 13 | 0.650 | 29 | 45 | 74 | 1 | 1 | 10 | 11 | 7 | 2 | 306 | 111 | 86 | 104 | 11 | 223 | 90 | 93 | 214 | 54 | 8 | 14.81% | 41 | 9 | 78.05% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 254 | 174 | 223 | 78 | 132 | 66 | 56.8% | 9.5% | 88.8% | 98.3 | FUN | |
_Since Last GM Reset | 10 | 5 | 3 | 0 | 0 | 0 | 1 | 1 | 29 | 25 | 4 | 13 | 0.650 | 29 | 45 | 74 | 1 | 1 | 10 | 11 | 7 | 2 | 306 | 111 | 86 | 104 | 11 | 223 | 90 | 93 | 214 | 54 | 8 | 14.81% | 41 | 9 | 78.05% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 254 | 174 | 223 | 78 | 132 | 66 | 56.8% | 9.5% | 88.8% | 98.3 | FUN | |
Total | 10 | 5 | 3 | 0 | 0 | 0 | 1 | 1 | 29 | 25 | 4 | 13 | 0.650 | 29 | 45 | 74 | 1 | 1 | 10 | 11 | 7 | 2 | 306 | 111 | 86 | 104 | 11 | 223 | 90 | 93 | 214 | 54 | 8 | 14.81% | 41 | 9 | 78.05% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 254 | 174 | 223 | 78 | 132 | 66 | 56.8% | 9.5% | 88.8% | 98.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 376 |
Neutral Zone Start | 149 |
Defensive Zone Start | 310 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 502 |
Faceoffs Lost | 333 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 19.7 | 20.31 |
3rd Period | 30.1 | 30.68 |
Overtime | 31.2 | 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 | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 20 |
---|---|
PP Goal | 8 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 2 | 1 |
Overtime Lost | 0 | 1 |
PP Attempt | 54 |
---|---|
PP Goal | 8 |
PK Attempt | 41 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 30.6 |
Shots Against | 22.3 |
Goals For | 2.9 |
Goals Against | 2.5 |
Hits | 21.4 |
Shots Blocked | 9.0 |
Pim | 9.3 |
Projected Total Cap Hit | 74,617,333$ |
Projected Cap Space | 7,882,667$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
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 | |||||
Derek Grant | C/LW | 33 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Dmitry Orlov | D | 32 | 5,100,000$ | 5,100,000$ | 7,750,000$ | 7,750,000$ | UFA | ||||
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 | 30 | 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 | |||||
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 | |||||
Petr Mrazek | G | 31 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 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 | 30 | 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$ | RFA | ||||||
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$ | RFA | ||||||
Dylan Wells | G | 25 | 750,000$ | 750,000$ | RFA | ||||||
Eduards Tralmaks | C/LW/RW | 26 | 750,000$ | 750,000$ | RFA | ||||||
Filip Kral | D | 23 | 810,000$ | 810,000$ | RFA | ||||||
Jayson Megna | C/LW/RW | 33 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Joe Gambardella | C/LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Jonathan Aspirot | D | 24 | 768,333$ | 768,333$ | RFA | ||||||
Joona Luoto | LW/RW | 26 | 750,000$ | 750,000$ | RFA | ||||||
Josh Lopina | C | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
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 | |||||
Maxim Marushev | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
Robin Salo | D | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Ryan Bednard | G | 26 | 750,000$ | 750,000$ | RFA | ||||||
Ryan Francis | C/RW | 21 | 750,000$ | 750,000$ | RFA | ||||||
Ryan Jones | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Taylor Ward | RW | 25 | 925,000$ | 925,000$ | 775,000$ | RFA | |||||
Zac Dalpe | C | 33 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA |
Forward Lines | |||||||
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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 | Avalanches | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 5 | 1 | 3 | 0.750 | 6 | 8 | 14 | 0 | 0 | 2 | 3 | 1 | 0 | 56 | 22 | 8 | 24 | 5 | 43 | 14 | 12 | 40 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 50 | 34 | 47 | 15 | 27 | 13 | 55.6% | 10.7% | 88.4% | 99.1 | FUN |
2 | Wild | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 0 | 4 | 1 | 0 | 66 | 24 | 24 | 18 | 0 | 44 | 23 | 21 | 56 | 9 | 1 | 11.11% | 7 | 2 | 71.43% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 49 | 33 | 43 | 15 | 27 | 13 | 50.0% | 7.6% | 86.4% | 93.9 | Unlucky |
3 | Blues | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 40 | 19 | 9 | 12 | 0 | 14 | 3 | 10 | 10 | 8 | 1 | 12.50% | 5 | 2 | 60.00% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 25 | 18 | 22 | 8 | 12 | 5 | 100.0% | 10.0% | 85.7% | 95.7 | FUN |
4 | Stars | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 1 | 0 | 0 | 1 | 3 | 2 | 54 | 13 | 17 | 21 | 6 | 70 | 27 | 32 | 54 | 13 | 2 | 15.38% | 14 | 2 | 85.71% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 49 | 32 | 49 | 16 | 26 | 12 | 42.9% | 9.3% | 91.4% | 100.7 | LUCKY |
5 | Coyotes | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 35 | 10 | 13 | 12 | 0 | 22 | 14 | 4 | 19 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 26 | 19 | 21 | 7 | 12 | 6 | 25.0% | 2.9% | 81.8% | 84.7 | Unlucky |
6 | Predateurs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 4 | 2 | 2 | 0 | 55 | 23 | 15 | 17 | 0 | 30 | 9 | 14 | 35 | 12 | 3 | 25.00% | 7 | 1 | 85.71% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 52 | 35 | 39 | 15 | 27 | 14 | 83.3% | 14.5% | 93.3% | 107.9 | LUCKY |
_Vs Division | 10 | 5 | 3 | 0 | 0 | 0 | 1 | 1 | 29 | 25 | 4 | 13 | 0.650 | 29 | 45 | 74 | 1 | 1 | 10 | 11 | 7 | 2 | 306 | 111 | 86 | 104 | 11 | 223 | 90 | 93 | 214 | 54 | 8 | 14.81% | 41 | 9 | 78.05% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 254 | 174 | 223 | 78 | 132 | 66 | 56.8% | 9.5% | 88.8% | 98.3 | FUN | |
_Vs Conference | 10 | 5 | 3 | 0 | 0 | 0 | 1 | 1 | 29 | 25 | 4 | 13 | 0.650 | 29 | 45 | 74 | 1 | 1 | 10 | 11 | 7 | 2 | 306 | 111 | 86 | 104 | 11 | 223 | 90 | 93 | 214 | 54 | 8 | 14.81% | 41 | 9 | 78.05% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 254 | 174 | 223 | 78 | 132 | 66 | 56.8% | 9.5% | 88.8% | 98.3 | FUN | |
_Since Last GM Reset | 10 | 5 | 3 | 0 | 0 | 0 | 1 | 1 | 29 | 25 | 4 | 13 | 0.650 | 29 | 45 | 74 | 1 | 1 | 10 | 11 | 7 | 2 | 306 | 111 | 86 | 104 | 11 | 223 | 90 | 93 | 214 | 54 | 8 | 14.81% | 41 | 9 | 78.05% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 254 | 174 | 223 | 78 | 132 | 66 | 56.8% | 9.5% | 88.8% | 98.3 | FUN | |
Total | 10 | 5 | 3 | 0 | 0 | 0 | 1 | 1 | 29 | 25 | 4 | 13 | 0.650 | 29 | 45 | 74 | 1 | 1 | 10 | 11 | 7 | 2 | 306 | 111 | 86 | 104 | 11 | 223 | 90 | 93 | 214 | 54 | 8 | 14.81% | 41 | 9 | 78.05% | 0 | 222 | 376 | 59.04% | 184 | 310 | 59.35% | 96 | 149 | 64.43% | 254 | 174 | 223 | 78 | 132 | 66 | 56.8% | 9.5% | 88.8% | 98.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 376 |
Neutral Zone Start | 149 |
Defensive Zone Start | 310 |
Puck Time | |
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With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 502 |
Faceoffs Lost | 333 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 19.7 | 20.31 |
3rd Period | 30.1 | 30.68 |
Overtime | 31.2 | 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 | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 20 |
---|---|
PP Goal | 8 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 2 | 1 |
Overtime Lost | 0 | 1 |
PP Attempt | 54 |
---|---|
PP Goal | 8 |
PK Attempt | 41 |
PK Goal Against | 9 |
Home | |
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Shots For | 30.6 |
Shots Against | 22.3 |
Goals For | 2.9 |
Goals Against | 2.5 |
Hits | 21.4 |
Shots Blocked | 9.0 |
Pim | 9.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Sep 11 | DAL | @ | CHI | DAL2,CHI3 (SO) | RECAP | |||||||||
Tue, Sep 12 | MIN | @ | CHI | MIN5,CHI1 | RECAP | |||||||||
Thu, Sep 14 | CHI | @ | COL | CHI3,COL4 (SO) | RECAP | |||||||||
Fri, Sep 15 | CHI | @ | DAL | CHI2,DAL4 | RECAP | |||||||||
Sun, Sep 17 | CHI | @ | MIN | CHI4,MIN1 | RECAP | |||||||||
Mon, Sep 18 | COL | @ | CHI | COL1,CHI3 | RECAP | |||||||||
Wed, Sep 20 | NAS | @ | CHI | NAS0,CHI5 | RECAP | |||||||||
Thu, Sep 21 | CHI | @ | STL | CHI4,STL2 | RECAP | |||||||||
Sat, Sep 23 | ARI | @ | CHI | ARI4,CHI1 | RECAP | |||||||||
Mon, Sep 25 | CHI | @ | NAS | CHI3,NAS2 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
74,617,333$ | 0$ | 74,617,333$ | 7,882,667$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | United Center | ||
City | Chicago | ||
Capacity | 17000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 70$ | 50$ | 30$ | 20$ | 110$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
74,617,333$ | 74,592,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 74,617,333$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 74,617,333$ | 43,318,325$ | 43,318,325$ |
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 |
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Julian Lutz | Blackhawks | 2023 | 81 | Link | |
Noah Warren | Blackhawks | 2023 | 49 | Link | |
Patrik Hamrla | Blackhawks | 2022 | 80 | Link | |
Ryan Mast | Blackhawks | 2022 | 176 | Link | |
Tanner Dickinson | Blackhawks | 2021 | 136 | Link | |
Topias Leinonen | Blackhawks | 2023 | 68 | Link | |
Viktor Persson | Blackhawks | 2021 | 157 | Link | |
Zachary Bolduc | Blackhawks | 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 | Blackhawks | 2023 | 81 | Link | |
Noah Warren | Blackhawks | 2023 | 49 | Link | |
Patrik Hamrla | Blackhawks | 2022 | 80 | Link | |
Ryan Mast | Blackhawks | 2022 | 176 | Link | |
Tanner Dickinson | Blackhawks | 2021 | 136 | Link | |
Topias Leinonen | Blackhawks | 2023 | 68 | Link | |
Viktor Persson | Blackhawks | 2021 | 157 | Link | |
Zachary Bolduc | Blackhawks | 2022 | 16 | Link |
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