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Full Scoreboard >> |
![]() | Long Island Jaguars 5-1-0, 10pts · 3rd in World Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 93 | C | 100.00 | 50 | 40 | 83 | 18 | 78 | 87 | 87 | 83 | 87 | 76 | 90 | 75 | 87 | 71 | 72 | 87 | 75 | 87 | 27 | 5,350,000$/2yrs | |||
![]() | 28 | LW/RW | 100.00 | 50 | 38 | 83 | 25 | 57 | 77 | 80 | 79 | 35 | 78 | 90 | 71 | 25 | 60 | 61 | 79 | 75 | 79 | 25 | 2,500,000$/2yrs | |||
![]() | 16 | C/RW | 100.00 | 39 | 38 | 75 | 23 | 64 | 81 | 93 | 80 | 84 | 87 | 82 | 64 | 53 | 69 | 70 | 78 | 75 | 78 | 26 | 832,500$/1yrs | |||
![]() | 92 | LW | 100.00 | 64 | 50 | 72 | 27 | 74 | 84 | 81 | 76 | 90 | 79 | 85 | 66 | 50 | 75 | 77 | 77 | 75 | 77 | 27 | 6,128,572$/1yrs | |||
![]() | 1 | C | 100.00 | 75 | 41 | 77 | 37 | 79 | 76 | 76 | 68 | 96 | 77 | 80 | 89 | 25 | 83 | 88 | 76 | 75 | 76 | 31 | 5,000,000$/1yrs | |||
![]() | 11 | LW/RW | 100.00 | 32 | 37 | 86 | 27 | 63 | 75 | 89 | 79 | 54 | 79 | 89 | 56 | 72 | 85 | 90 | 75 | 75 | 75 | 35 | 4,800,000$/2yrs | |||
![]() | 71 | RW | 100.00 | 68 | 40 | 82 | 36 | 63 | 74 | 85 | 69 | 35 | 78 | 80 | 83 | 25 | 68 | 70 | 75 | 75 | 75 | 28 | 2,500,000$/3yrs | |||
![]() | 20 | C/LW | 100.00 | 46 | 39 | 83 | 35 | 67 | 67 | 82 | 71 | 73 | 79 | 82 | 74 | 25 | 63 | 65 | 74 | 75 | 74 | 26 | 1,050,000$/3yrs | |||
![]() | 37 | C/LW/RW | 100.00 | 36 | 38 | 83 | 34 | 63 | 74 | 84 | 72 | 79 | 81 | 80 | 81 | 25 | 63 | 64 | 74 | 75 | 74 | 25 | 925,000$/1yrs | |||
![]() | 22 | C/RW | 100.00 | 66 | 40 | 80 | 43 | 67 | 67 | 86 | 62 | 74 | 76 | 75 | 89 | 25 | 60 | 61 | 73 | 75 | 73 | 29 | 1,000,000$/3yrs | |||
![]() | 72 | LW/RW | 100.00 | 32 | 37 | 80 | 32 | 63 | 73 | 90 | 76 | 38 | 75 | 85 | 41 | 70 | 66 | 69 | 70 | 75 | 70 | 28 | 3,000,000$/3yrs | |||
![]() | 83 | C | 100.00 | 59 | 40 | 75 | 46 | 75 | 63 | 73 | 59 | 96 | 73 | 75 | 74 | 25 | 73 | 77 | 68 | 75 | 68 | 34 | 1,500,000$/1yrs | |||
![]() | 23 | D | 100.00 | 68 | 40 | 69 | 35 | 74 | 86 | 75 | 94 | 25 | 99 | 75 | 76 | 50 | 82 | 86 | 83 | 75 | 83 | 34 | 6,600,000$/1yrs | |||
![]() | 2 | D | 100.00 | 32 | 38 | 85 | 42 | 69 | 79 | 61 | 82 | 25 | 88 | 74 | 89 | 25 | 66 | 67 | 80 | 75 | 80 | 26 | 4,600,000$/3yrs | |||
![]() | 27 | D | 100.00 | 64 | 50 | 76 | 43 | 79 | 76 | 81 | 81 | 25 | 77 | 77 | 87 | 25 | 56 | 56 | 80 | 75 | 80 | 25 | 735,000$/2yrs | |||
![]() | 3 | D | 100.00 | 73 | 41 | 78 | 47 | 76 | 82 | 75 | 70 | 25 | 68 | 71 | 92 | 25 | 61 | 62 | 79 | 75 | 79 | 25 | 1,600,000$/2yrs | |||
![]() | 8 | D | 100.00 | 75 | 50 | 71 | 51 | 76 | 87 | 91 | 75 | 25 | 80 | 75 | 85 | 80 | 69 | 71 | 77 | 75 | 77 | 29 | 4,500,000$/3yrs | |||
![]() | 33 | D | 100.00 | 50 | 48 | 85 | 51 | 63 | 74 | 91 | 75 | 25 | 79 | 75 | 84 | 25 | 62 | 63 | 74 | 75 | 74 | 29 | 3,500,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 59 | C/LW/RW | 100.00 | 53 | 40 | 83 | 47 | 73 | 59 | 70 | 58 | 36 | 68 | 80 | 82 | 25 | 62 | 63 | 70 | 75 | 70 | 29 | 950,000$/1yrs | |||
![]() | 81 | D | 100.00 | 46 | 39 | 85 | 48 | 72 | 81 | 90 | 75 | 25 | 75 | 72 | 85 | 25 | 87 | 88 | 75 | 75 | 75 | 39 | 5,000,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 54 | 41 | 80 | 37 | 70 | 76 | 82 | 74 | 53 | 79 | 80 | 77 | 39 | 69 | 71 | 76 | 75 | 76 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 90 | 100.00 | 80 | 73 | 72 | 95 | 94 | 90 | 92 | 88 | 99 | 92 | 45 | 66 | 67 | 80 | 75 | 80 | 28 | 3,000,000$/1yrs |
![]() | 40 | 100.00 | 81 | 81 | 80 | 80 | 94 | 94 | 86 | 95 | 97 | 94 | 93 | 72 | 74 | 77 | 75 | 77 | 31 | 5,500,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 81 | 77 | 76 | 88 | 94 | 92 | 89 | 92 | 98 | 93 | 69 | 69 | 71 | 79 | 75 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Barry Trotz | 86 | 92 | 81 | 84 | 86 | 80 | 61 | CAN | 57 | 1 | 850,000$ |
General Manager | Mike DAmbrosio |
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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% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan Strome | ![]() | 16 | C/RW | 6 | 5 | 7 | 12 | 0 | 2 | 0 | 2 | 20 | 4 | 18 | 25.00% | 1 | 18.42 | 5 | 2 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 71.43% | 7 | 6 | 0 | 0 | 0 | 2.17 | 0 | 0 |
2 | Gabriel Landeskog | ![]() | 92 | LW | 6 | 2 | 8 | 10 | 1 | 7 | 5 | 13 | 19 | 10 | 11 | 10.53% | 0 | 17.49 | 1 | 4 | 5 | 0 | 0 | 0 | 0 | 1 | 1 | 85.71% | 7 | 2 | 1 | 0 | 0 | 1.91 | 0 | 0 |
3 | Oliver Bjorkstrand | ![]() | 28 | LW/RW | 6 | 3 | 6 | 9 | 4 | 0 | 0 | 10 | 17 | 6 | 10 | 17.65% | 1 | 16.75 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 30.00% | 10 | 3 | 0 | 0 | 0 | 1.79 | 0 | 0 |
4 | Zach Parise | ![]() | 11 | LW/RW | 6 | 4 | 4 | 8 | 4 | 2 | 0 | 1 | 15 | 4 | 15 | 26.67% | 1 | 17.41 | 1 | 0 | 1 | 0 | 1 | 1 | 2 | 2 | 0 | 42.86% | 7 | 4 | 0 | 0 | 0 | 1.53 | 0 | 0 |
5 | Mika Zibanejad | ![]() | 93 | C | 6 | 4 | 3 | 7 | 0 | 0 | 0 | 5 | 12 | 2 | 6 | 33.33% | 0 | 18.51 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 65.71% | 105 | 1 | 1 | 0 | 0 | 1.26 | 0 | 0 |
6 | Jordan Staal | ![]() | 1 | C | 5 | 2 | 4 | 6 | 5 | 4 | 0 | 18 | 16 | 6 | 5 | 12.50% | 2 | 16.38 | 0 | 0 | 0 | 1 | 0 | 1 | 5 | 0 | 1 | 65.67% | 67 | 0 | 0 | 0 | 0 | 1.46 | 0 | 0 |
7 | J.T. Compher | ![]() | 37 | C/LW/RW | 6 | 0 | 4 | 4 | -1 | 0 | 0 | 0 | 7 | 4 | 10 | 0.00% | 2 | 16.04 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 41.30% | 46 | 4 | 1 | 0 | 0 | 0.83 | 0 | 0 |
8 | Chandler Stephenson | ![]() | 20 | C/LW | 6 | 1 | 2 | 3 | 2 | 0 | 0 | 4 | 16 | 3 | 8 | 6.25% | 0 | 9.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 3 | 0 | 0 | 0 | 1.11 | 0 | 0 |
9 | Alexander Edler | ![]() | 23 | D | 6 | 2 | 0 | 2 | 2 | 12 | 0 | 11 | 12 | 5 | 5 | 16.67% | 5 | 20.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.32 | 0 | 0 |
10 | Ryan Carpenter | ![]() | 22 | C/RW | 6 | 0 | 2 | 2 | 2 | 4 | 0 | 6 | 11 | 4 | 4 | 0.00% | 3 | 11.20 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 25.00% | 4 | 4 | 2 | 0 | 0 | 0.60 | 0 | 0 |
11 | Ryan Murray | ![]() | 2 | D | 6 | 0 | 2 | 2 | -1 | 0 | 0 | 0 | 10 | 5 | 4 | 0.00% | 13 | 19.06 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 2 | 1 | 0 | 0 | 0.35 | 0 | 0 |
12 | Adam Pelech | ![]() | 3 | D | 6 | 0 | 1 | 1 | 5 | 2 | 0 | 10 | 4 | 2 | 5 | 0.00% | 9 | 17.97 | 0 | 0 | 0 | 0 | 1 | 1 | 17 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.19 | 0 | 0 |
13 | Joonas Donskoi | ![]() | 72 | LW/RW | 6 | 1 | 0 | 1 | -1 | 2 | 0 | 1 | 12 | 2 | 6 | 8.33% | 0 | 10.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 2 | 0 | 0 | 0 | 0.31 | 0 | 0 |
14 | Nick Jensen | ![]() | 33 | D | 6 | 1 | 0 | 1 | 4 | 0 | 0 | 5 | 10 | 1 | 3 | 10.00% | 7 | 19.58 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 2 | 1 | 0 | 0 | 0.17 | 0 | 0 |
15 | Jay Beagle | ![]() | 83 | C | 6 | 0 | 1 | 1 | 2 | 0 | 0 | 9 | 5 | 5 | 6 | 0.00% | 2 | 12.54 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 60.78% | 51 | 2 | 0 | 0 | 0 | 0.27 | 0 | 0 |
16 | Ryan Graves | ![]() | 27 | D | 6 | 0 | 1 | 1 | 4 | 0 | 0 | 8 | 12 | 3 | 2 | 0.00% | 5 | 18.68 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 2 | 3 | 0 | 0 | 0.18 | 0 | 0 |
17 | Jesper Fast | ![]() | 71 | RW | 6 | 0 | 0 | 0 | -1 | 0 | 0 | 11 | 10 | 2 | 5 | 0.00% | 0 | 14.71 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 25.00% | 4 | 4 | 1 | 0 | 0 | 0.00 | 0 | 0 |
18 | Ben Chiarot | ![]() | 8 | D | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 20 | 12 | 2 | 2 | 0.00% | 7 | 19.69 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 107 | 25 | 45 | 70 | 31 | 37 | 5 | 134 | 220 | 70 | 125 | 11.36% | 58 | 16.39 | 8 | 13 | 21 | 167 | 1 | 2 | 3 | 117 | 5 | 3 | 59.35% | 310 | 41 | 20 | 0 | 0 | 0.80 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Semyon Varlamov | ![]() | 3 | 3 | 0 | 0 | 0.902 | 2.67 | 180 | 0 | 0 | 8 | 82 | 45 | 1 | 0 | 0.000 | 0 | 3 | 3 | 0 | 0 | 0 |
2 | Robin Lehner | ![]() | 3 | 2 | 1 | 0 | 0.932 | 1.68 | 179 | 0 | 0 | 5 | 73 | 36 | 0 | 0 | 0.000 | 0 | 3 | 3 | 0 | 0 | 0 |
Team Total or Average | 6 | 5 | 1 | 0 | 0.916 | 2.17 | 359 | 0 | 0 | 13 | 155 | 81 | 1 | 0 | 0.000 | 0 | 6 | 6 | 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 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 1 | 4 | 5 | 0 | 76 | 25 | 27 | 24 | 0 | 43 | 16 | 6 | 45 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 1 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 52 | 34 | 35 | 16 | 32 | 16 | 72.7% | 13.2% | 93.0% | 106.2 | LUCKY |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 42 | 12 | 16 | 14 | 0 | 28 | 14 | 10 | 29 | 7 | 3 | 42.86% | 5 | 1 | 80.00% | 0 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 25 | 16 | 20 | 7 | 14 | 7 | 50.0% | 9.5% | 92.9% | 102.4 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 15 | 10 | 8 | 0 | 30 | 13 | 10 | 19 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 23 | 14 | 21 | 8 | 14 | 7 | 33.3% | 3.0% | 93.3% | 96.4 | DULL |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 0 | 3 | 0 | 36 | 15 | 10 | 11 | 0 | 29 | 11 | 4 | 24 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 23 | 15 | 20 | 8 | 16 | 8 | 66.7% | 13.9% | 89.7% | 103.5 | FUN |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 3 | 0 | 0 | 35 | 10 | 10 | 15 | 0 | 25 | 4 | 7 | 18 | 8 | 2 | 25.00% | 1 | 0 | 100.00% | 0 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 26 | 17 | 17 | 8 | 15 | 7 | 50.0% | 14.3% | 88.0% | 102.3 | FUN |
_Vs Division | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 25 | 13 | 12 | 10 | 0.833 | 25 | 45 | 70 | 0 | 0 | 8 | 8 | 9 | 0 | 222 | 77 | 73 | 72 | 0 | 155 | 58 | 37 | 135 | 24 | 8 | 33.33% | 16 | 2 | 87.50% | 1 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 151 | 99 | 114 | 49 | 93 | 46 | 60.7% | 11.3% | 91.6% | 102.9 | LUCKY | |
_Vs Conference | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 25 | 13 | 12 | 10 | 0.833 | 25 | 45 | 70 | 0 | 0 | 8 | 8 | 9 | 0 | 222 | 77 | 73 | 72 | 0 | 155 | 58 | 37 | 135 | 24 | 8 | 33.33% | 16 | 2 | 87.50% | 1 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 151 | 99 | 114 | 49 | 93 | 46 | 60.7% | 11.3% | 91.6% | 102.9 | LUCKY | |
_Since Last GM Reset | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 25 | 13 | 12 | 10 | 0.833 | 25 | 45 | 70 | 0 | 0 | 8 | 8 | 9 | 0 | 222 | 77 | 73 | 72 | 0 | 155 | 58 | 37 | 135 | 24 | 8 | 33.33% | 16 | 2 | 87.50% | 1 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 151 | 99 | 114 | 49 | 93 | 46 | 60.7% | 11.3% | 91.6% | 102.9 | LUCKY | |
Total | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 25 | 13 | 12 | 10 | 0.833 | 25 | 45 | 70 | 0 | 0 | 8 | 8 | 9 | 0 | 222 | 77 | 73 | 72 | 0 | 155 | 58 | 37 | 135 | 24 | 8 | 33.33% | 16 | 2 | 87.50% | 1 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 151 | 99 | 114 | 49 | 93 | 46 | 60.7% | 11.3% | 91.6% | 102.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 15 |
Defensive Zone | 19 |
Puck Time | |
---|---|
Offensive Zone Start | 135 |
Neutral Zone Start | 78 |
Defensive Zone Start | 105 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 27 |
Faceoffs | |
---|---|
Faceoffs Won | 190 |
Faceoffs Lost | 128 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.8 | 9.57 |
2nd Period | 25.0 | 20.31 |
3rd Period | 37.0 | 30.68 |
Overtime | 37.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.7 | 1.65 |
3rd Period | 4.2 | 2.67 |
Overtime | 4.2 | 2.83 |
Even Strenght Goal | 16 |
---|---|
PP Goal | 8 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 2 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 24 |
---|---|
PP Goal | 8 |
PK Attempt | 16 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 37.0 |
Shots Against | 25.8 |
Goals For | 4.2 |
Goals Against | 2.2 |
Hits | 22.5 |
Shots Blocked | 9.7 |
Pim | 6.2 |
![]() | |
Total Salaries | 74,232,739$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 79,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 55) | 53 |
Goalies Signed (min. 6) | 7 |
Defensemen Signed (min. 16) | 18 |
LTIR Players | 0 |
Jaguars Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech | D | 25 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | RFA | |||||
Alexander Edler | D | 34 | 6,600,000$ | 6,600,000$ | 6,600,000$ | UFA | ||||||
Ben Chiarot | D | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Chandler Stephenson | C/LW | 26 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | ||||
Gabriel Landeskog | LW | 27 | 6,128,572$ | 6,128,572$ | 6,128,572$ | UFA | ||||||
J.T. Compher | C/LW/RW | 25 | 925,000$ | 925,000$ | 925,000$ | RFA | ||||||
Jay Beagle | C | 34 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||||
Jesper Fast | RW | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Joonas Donskoi | LW/RW | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
Jordan Staal | C | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||||
Mika Zibanejad | C | 27 | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | UFA | |||||
Nick Jensen | D | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Oliver Bjorkstrand | LW/RW | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | RFA | |||||
Robin Lehner | G | 28 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||||
Ron Hainsey | D | 39 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||||
Ryan Carpenter | C/RW | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Ryan Graves | D | 25 | 735,000$ | 735,000$ | 735,000$ | 735,000$ | RFA | |||||
Ryan Murray | D | 26 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | ||||
Ryan Strome | C/RW | 26 | 832,500$ | 832,500$ | 832,500$ | RFA | ||||||
Semyon Varlamov | G | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Tim Schaller | C/LW/RW | 29 | 950,000$ | 950,000$ | 950,000$ | UFA | ||||||
Zach Parise | LW/RW | 35 | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Yelesin | D | 24 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Blake Lizotte | C | 22 | 1,470,000$ | 147,000$ | 147,000$ | 147,000$ | 147,000$ | RFA | ||||
Brandon Hagel | LW | 21 | 880,833$ | 88,083$ | 88,083$ | 88,083$ | 88,083$ | RFA | ||||
Callum Booth | G | 23 | 1,470,000$ | 147,000$ | 147,000$ | 147,000$ | 147,000$ | RFA | ||||
Christian Djoos | D | 25 | 1,470,000$ | 147,000$ | 147,000$ | 147,000$ | 147,000$ | UFA | ||||
Dakota Joshua | C | 24 | 792,500$ | 79,250$ | 79,250$ | 79,250$ | 79,250$ | RFA | ||||
Dylan Samberg | D | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Emil Larmi | G | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Ethan Bear | D | 23 | 720,000$ | 72,000$ | 72,000$ | 72,000$ | RFA | |||||
Francis Perron | LW | 24 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
German Rubtsov | C | 22 | 894,166$ | 89,417$ | 89,417$ | 89,417$ | 89,417$ | RFA | ||||
Ivan Fedotov | G | 23 | 1,470,000$ | 147,000$ | 147,000$ | 147,000$ | 147,000$ | RFA | ||||
Jack Drury | C | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Jakub Galvas | D | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Jarkko Parikka | D | 22 | 600,000$ | 60,000$ | 60,000$ | RFA | ||||||
Joel Kiviranta | LW/RW | 24 | 1,470,000$ | 147,000$ | 147,000$ | 147,000$ | 147,000$ | RFA | ||||
Jonas Johansson | G | 24 | 759,167$ | 75,917$ | 75,917$ | 75,917$ | 75,917$ | RFA | ||||
Juhamatti Aaltonen | RW | 35 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Konstantin Okulov | C/RW | 25 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Linus Cronholm | D | 19 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Michael Callahan | D | 20 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Nikolai Demidov | D | 24 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Nikolai Kovalenko | RW | 20 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Olivier Roy | G | 28 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Patrick Harper | C | 21 | 1,470,000$ | 147,000$ | 147,000$ | 147,000$ | 147,000$ | RFA | ||||
Pius Suter | C/LW | 24 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | 62,500$ | RFA | ||||
Scott Perunovich | D | 21 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Stefan Loibl | C/RW | 24 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Teemu Turunen | LW/RW | 24 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Tobias Geisser | D | 21 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Ty Dellandrea | C | 19 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA |
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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 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 1 | 4 | 5 | 0 | 76 | 25 | 27 | 24 | 0 | 43 | 16 | 6 | 45 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 1 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 52 | 34 | 35 | 16 | 32 | 16 | 72.7% | 13.2% | 93.0% | 106.2 | LUCKY |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 42 | 12 | 16 | 14 | 0 | 28 | 14 | 10 | 29 | 7 | 3 | 42.86% | 5 | 1 | 80.00% | 0 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 25 | 16 | 20 | 7 | 14 | 7 | 50.0% | 9.5% | 92.9% | 102.4 | LUCKY |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 15 | 10 | 8 | 0 | 30 | 13 | 10 | 19 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 23 | 14 | 21 | 8 | 14 | 7 | 33.3% | 3.0% | 93.3% | 96.4 | DULL |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 0 | 3 | 0 | 36 | 15 | 10 | 11 | 0 | 29 | 11 | 4 | 24 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 23 | 15 | 20 | 8 | 16 | 8 | 66.7% | 13.9% | 89.7% | 103.5 | FUN |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 3 | 0 | 0 | 35 | 10 | 10 | 15 | 0 | 25 | 4 | 7 | 18 | 8 | 2 | 25.00% | 1 | 0 | 100.00% | 0 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 26 | 17 | 17 | 8 | 15 | 7 | 50.0% | 14.3% | 88.0% | 102.3 | FUN |
_Vs Division | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 25 | 13 | 12 | 10 | 0.833 | 25 | 45 | 70 | 0 | 0 | 8 | 8 | 9 | 0 | 222 | 77 | 73 | 72 | 0 | 155 | 58 | 37 | 135 | 24 | 8 | 33.33% | 16 | 2 | 87.50% | 1 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 151 | 99 | 114 | 49 | 93 | 46 | 60.7% | 11.3% | 91.6% | 102.9 | LUCKY | |
_Vs Conference | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 25 | 13 | 12 | 10 | 0.833 | 25 | 45 | 70 | 0 | 0 | 8 | 8 | 9 | 0 | 222 | 77 | 73 | 72 | 0 | 155 | 58 | 37 | 135 | 24 | 8 | 33.33% | 16 | 2 | 87.50% | 1 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 151 | 99 | 114 | 49 | 93 | 46 | 60.7% | 11.3% | 91.6% | 102.9 | LUCKY | |
_Since Last GM Reset | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 25 | 13 | 12 | 10 | 0.833 | 25 | 45 | 70 | 0 | 0 | 8 | 8 | 9 | 0 | 222 | 77 | 73 | 72 | 0 | 155 | 58 | 37 | 135 | 24 | 8 | 33.33% | 16 | 2 | 87.50% | 1 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 151 | 99 | 114 | 49 | 93 | 46 | 60.7% | 11.3% | 91.6% | 102.9 | LUCKY | |
Total | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 25 | 13 | 12 | 10 | 0.833 | 25 | 45 | 70 | 0 | 0 | 8 | 8 | 9 | 0 | 222 | 77 | 73 | 72 | 0 | 155 | 58 | 37 | 135 | 24 | 8 | 33.33% | 16 | 2 | 87.50% | 1 | 82 | 135 | 60.74% | 62 | 105 | 59.05% | 46 | 78 | 58.97% | 151 | 99 | 114 | 49 | 93 | 46 | 60.7% | 11.3% | 91.6% | 102.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 15 |
Defensive Zone | 19 |
Puck Time | |
---|---|
Offensive Zone Start | 135 |
Neutral Zone Start | 78 |
Defensive Zone Start | 105 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 27 |
Faceoffs | |
---|---|
Faceoffs Won | 190 |
Faceoffs Lost | 128 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.8 | 9.57 |
2nd Period | 25.0 | 20.31 |
3rd Period | 37.0 | 30.68 |
Overtime | 37.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.7 | 1.65 |
3rd Period | 4.2 | 2.67 |
Overtime | 4.2 | 2.83 |
Even Strenght Goal | 16 |
---|---|
PP Goal | 8 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 2 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 24 |
---|---|
PP Goal | 8 |
PK Attempt | 16 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 37.0 |
Shots Against | 25.8 |
Goals For | 4.2 |
Goals Against | 2.2 |
Hits | 22.5 |
Shots Blocked | 9.7 |
Pim | 6.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fri, Jan 15 | ![]() | @ | ![]() | LYN2,JAG7 | RECAP | |||||||||
Sun, Jan 17 | ![]() | @ | ![]() | RIN3,JAG5 | RECAP | |||||||||
Mon, Jan 18 | ![]() | @ | ![]() | JAG3,LYN1 | RECAP | |||||||||
Wed, Jan 20 | ![]() | @ | ![]() | JAG4,MOU2 | RECAP | |||||||||
Thu, Jan 21 | ![]() | @ | ![]() | JAG1,GWS2 | RECAP | |||||||||
Fri, Jan 22 | ![]() | @ | ![]() | CRU3,JAG5 | RECAP | |||||||||
Mon, Jan 25 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
Wed, Jan 27 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 28 | ![]() | @ | ![]() | |||||||||||
Fri, Jan 29 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 30 | ![]() | @ | ![]() | |||||||||||
Sun, Jan 31 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
70,571,072$ | 0$ | 0$ | 79,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Long Island | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
3 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
70,571,072$ | 70,571,072$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 11 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 72,449,918$ | 72,449,918$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2021 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ||
2022 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2023 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Frederik Dichow | ![]() | 2019 | 139 | ||
Grant Slukinsky | ![]() | 2020 | 179 | ||
Hugo Ollas | ![]() | 2020 | 196 | ||
Kirill Tyutyayev | ![]() | 2019 | 195 | ||
Mikko Kokkonen | ![]() | 2019 | 83 | ||
Nolan Foote | ![]() | 2019 | 27 | ||
Tomas Mazura | ![]() | 2019 | 167 | ||
Tyrel Bauer | ![]() | 2020 | 173 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2021 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ||
2022 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2023 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Frederik Dichow | ![]() | 2019 | 139 | ||
Grant Slukinsky | ![]() | 2020 | 179 | ||
Hugo Ollas | ![]() | 2020 | 196 | ||
Kirill Tyutyayev | ![]() | 2019 | 195 | ||
Mikko Kokkonen | ![]() | 2019 | 83 | ||
Nolan Foote | ![]() | 2019 | 27 | ||
Tomas Mazura | ![]() | 2019 | 167 | ||
Tyrel Bauer | ![]() | 2020 | 173 |
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