|
|
|
|
|
|
|
|
Full Scoreboard >> |
![]() | Lansing Lynx 0-1-0, 0pts · 14th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 57 | 39 | 78 | 20 | 57 | 73 | 91 | 88 | 36 | 97 | 85 | 55 | 60 | 71 | 73 | 84 | 75 | 84 | 29 | 2,750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 43 | 50 | 81 | 18 | 66 | 84 | 77 | 89 | 97 | 89 | 85 | 47 | 75 | 83 | 90 | 82 | 75 | 82 | 32 | 16,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 49 | 83 | 29 | 67 | 69 | 89 | 75 | 76 | 82 | 82 | 69 | 80 | 65 | 66 | 76 | 75 | 76 | 24 | 1,250,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 39 | 38 | 84 | 27 | 60 | 77 | 85 | 77 | 34 | 83 | 83 | 55 | 69 | 76 | 77 | 75 | 75 | 75 | 30 | 3,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 40 | 77 | 30 | 69 | 59 | 84 | 73 | 55 | 81 | 83 | 64 | 41 | 69 | 70 | 75 | 75 | 75 | 29 | 2,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 68 | 53 | 83 | 39 | 69 | 61 | 74 | 66 | 84 | 74 | 82 | 84 | 25 | 65 | 66 | 74 | 75 | 74 | 25 | 450,000$/1yrs | |||
![]() | 0 | C | 100.00 | 39 | 38 | 85 | 31 | 64 | 74 | 64 | 75 | 95 | 74 | 85 | 62 | 75 | 64 | 64 | 73 | 75 | 73 | 24 | 4,450,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 89 | 70 | 79 | 34 | 80 | 65 | 91 | 71 | 49 | 77 | 85 | 62 | 25 | 64 | 64 | 73 | 75 | 73 | 23 | 894,167$/2yrs | |||
![]() | 0 | RW | 100.00 | 55 | 59 | 66 | 35 | 75 | 65 | 74 | 77 | 36 | 87 | 78 | 50 | 62 | 87 | 93 | 70 | 75 | 70 | 35 | 800,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 36 | 38 | 85 | 35 | 62 | 67 | 89 | 71 | 36 | 80 | 82 | 54 | 25 | 64 | 66 | 69 | 75 | 69 | 24 | 2,800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 32 | 37 | 82 | 38 | 56 | 70 | 86 | 73 | 85 | 80 | 78 | 57 | 25 | 55 | 55 | 69 | 75 | 69 | 22 | 863,333$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 28 | 37 | 82 | 38 | 57 | 57 | 71 | 72 | 36 | 72 | 83 | 55 | 25 | 48 | 48 | 68 | 75 | 68 | 22 | 758,333$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 50 | 71 | 51 | 70 | 76 | 84 | 75 | 25 | 79 | 76 | 91 | 25 | 62 | 63 | 77 | 75 | 77 | 23 | 697,500$/2yrs | |||
![]() | 0 | D | 100.00 | 57 | 40 | 77 | 42 | 74 | 85 | 75 | 81 | 25 | 75 | 80 | 79 | 25 | 64 | 64 | 77 | 75 | 77 | 22 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 55 | 77 | 71 | 51 | 98 | 82 | 82 | 75 | 25 | 79 | 76 | 86 | 57 | 99 | 99 | 75 | 75 | 75 | 43 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 39 | 38 | 83 | 49 | 67 | 74 | 62 | 69 | 25 | 72 | 74 | 84 | 25 | 80 | 81 | 73 | 75 | 73 | 34 | 1,450,000$/2yrs | |||
![]() | 0 | D | 100.00 | 46 | 40 | 78 | 48 | 75 | 66 | 54 | 78 | 25 | 75 | 75 | 72 | 75 | 64 | 64 | 70 | 75 | 70 | 28 | 450,000$/3yrs | |||
![]() | 0 | D | 100.00 | 57 | 40 | 80 | 45 | 70 | 63 | 73 | 81 | 25 | 86 | 75 | 56 | 25 | 60 | 61 | 68 | 75 | 68 | 27 | 675,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 50 | 39 | 87 | 46 | 64 | 68 | 76 | 80 | 25 | 81 | 78 | 55 | 25 | 62 | 63 | 68 | 75 | 68 | 26 | 575,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 52 | 46 | 80 | 37 | 68 | 70 | 78 | 76 | 47 | 80 | 80 | 65 | 44 | 69 | 70 | 73 | 75 | 73 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 79 | 68 | 69 | 64 | 95 | 91 | 96 | 93 | 99 | 93 | 84 | 72 | 74 | 79 | 75 | 79 | 34 | 3,025,000$/1yrs |
![]() | 0 | 100.00 | 56 | 71 | 71 | 79 | 86 | 86 | 88 | 89 | 91 | 88 | 64 | 60 | 32 | 57 | 75 | 57 | 23 | 925,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 68 | 70 | 70 | 72 | 91 | 89 | 92 | 91 | 95 | 91 | 74 | 66 | 53 | 68 | 75 | 68 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Craig Berube | 80 | 92 | 86 | 86 | 81 | 76 | 67 | CAN | 54 | 2 | 0$ |
General Manager | Michael Koval |
---|
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 | Sidney Crosby | ![]() | 0 | C | 1 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 100.00% | 1 | 20.22 | 0 | 1 | 1 | 1 | 0 | 1 | 2 | 0 | 0 | 82.35% | 17 | 0 | 0 | 0 | 0 | 1.98 | 0 | 0 |
2 | Tomas Tatar | ![]() | 0 | LW/RW | 1 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 4 | 1 | 0 | 0.00% | 0 | 20.22 | 0 | 1 | 1 | 0 | 1 | 1 | 2 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 1.98 | 0 | 0 |
3 | Jordan Eberle | ![]() | 0 | RW | 1 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 3 | 1 | 1 | 33.33% | 0 | 16.17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.24 | 0 | 0 |
4 | Corey Perry | ![]() | 0 | RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 0 | 11.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
5 | Andrej Sekera | ![]() | 0 | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 19.03 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
6 | Zdeno Chara | ![]() | 0 | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 1 | 0 | 2 | 0.00% | 0 | 20.15 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 |
7 | Martin Marincin | ![]() | 0 | D | 1 | 0 | 0 | 0 | -1 | 4 | 0 | 1 | 0 | 0 | 0 | 0.00% | 2 | 16.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
8 | Christian Dvorak | ![]() | 0 | C | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 0 | 1 | 2 | 0.00% | 0 | 11.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 6 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
9 | Danton Heinen | ![]() | 0 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 0.00% | 0 | 11.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
10 | Jared McCann | ![]() | 0 | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 0 | 0.00% | 0 | 16.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 15 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
11 | Richard Panik | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 5 | 1 | 1 | 0.00% | 1 | 15.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
12 | Lawson Crouse | ![]() | 0 | LW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 0 | 0 | 1 | 0.00% | 0 | 12.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
13 | Scott Harrington | ![]() | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 0 | 2 | 0.00% | 0 | 15.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
14 | Curtis Lazar | ![]() | 0 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 2 | 0 | 0.00% | 0 | 15.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
15 | Erik Cernak | ![]() | 0 | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 5 | 2 | 0 | 0 | 0.00% | 3 | 25.70 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
16 | Jakob Chychrun | ![]() | 0 | D | 1 | 0 | 0 | 0 | -2 | 2 | 0 | 0 | 1 | 0 | 1 | 0.00% | 2 | 24.08 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Jordan Kyrou | ![]() | 0 | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 3 | 0.00% | 0 | 11.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Sam Steel | ![]() | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 3 | 0.00% | 0 | 12.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80.00% | 10 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 18 | 2 | 3 | 5 | -11 | 8 | 0 | 22 | 28 | 11 | 23 | 7.14% | 10 | 16.36 | 1 | 2 | 3 | 15 | 1 | 1 | 2 | 14 | 0 | 0 | 53.45% | 58 | 4 | 4 | 0 | 0 | 0.34 | 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 | Jaroslav Halak | ![]() | 1 | 0 | 1 | 0 | 0.848 | 5.00 | 60 | 0 | 0 | 5 | 33 | 20 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Team Total or Average | 1 | 0 | 1 | 0 | 0.848 | 5.00 | 60 | 0 | 0 | 5 | 33 | 20 | 0 | 0 | 0.000 | 0 | 1 | 0 | 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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 13 | 8 | 7 | 0 | 33 | 10 | 8 | 22 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 1 | 16 | 25 | 64.00% | 8 | 16 | 50.00% | 7 | 17 | 41.18% | 23 | 15 | 20 | 8 | 16 | 7 | 25.0% | 7.1% | 84.8% | 92.0 | Unlucky |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 13 | 8 | 7 | 0 | 33 | 10 | 8 | 22 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 1 | 16 | 25 | 64.00% | 8 | 16 | 50.00% | 7 | 17 | 41.18% | 23 | 15 | 20 | 8 | 16 | 7 | 25.0% | 7.1% | 84.8% | 92.0 | Unlucky | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 13 | 8 | 7 | 0 | 33 | 10 | 8 | 22 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 1 | 16 | 25 | 64.00% | 8 | 16 | 50.00% | 7 | 17 | 41.18% | 23 | 15 | 20 | 8 | 16 | 7 | 25.0% | 7.1% | 84.8% | 92.0 | Unlucky | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 13 | 8 | 7 | 0 | 33 | 10 | 8 | 22 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 1 | 16 | 25 | 64.00% | 8 | 16 | 50.00% | 7 | 17 | 41.18% | 23 | 15 | 20 | 8 | 16 | 7 | 25.0% | 7.1% | 84.8% | 92.0 | Unlucky | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 13 | 8 | 7 | 0 | 33 | 10 | 8 | 22 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 1 | 16 | 25 | 64.00% | 8 | 16 | 50.00% | 7 | 17 | 41.18% | 23 | 15 | 20 | 8 | 16 | 7 | 25.0% | 7.1% | 84.8% | 92.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 16 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 25 |
Neutral Zone Start | 17 |
Defensive Zone Start | 16 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 31 |
Faceoffs Lost | 27 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.0 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 28.0 | 30.68 |
Overtime | 28.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 2.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 1 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 1 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 3 |
---|---|
PP Goal | 1 |
PK Attempt | 4 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 28.0 |
Shots Against | 33.0 |
Goals For | 2.0 |
Goals Against | 5.0 |
Hits | 22.0 |
Shots Blocked | 10.0 |
Pim | 8.0 |
![]() | |
Total Salaries | 57,841,124$ |
Projected Total Cap Hit | 57,841,018$ |
Projected Cap Space | 21,158,982$ |
Retains And Buyout Cap Hit | 1,727,500$ |
Salary Cap To Date | 578,906$ |
Players Signed (45 – 55) | 55 |
Goalies Signed (min. 6) | 7 |
Defensemen Signed (min. 16) | 17 |
LTIR Players | 0 |
Lynx 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 Huska | G | 23 | 925,000$ | 915,053$ | 925,000$ | RFA | ||||||
Andrej Sekera | D | 34 | 1,450,000$ | 1,434,408$ | 1,450,000$ | 1,450,000$ | UFA | |||||
Christian Dvorak | C | 24 | 4,450,000$ | 4,402,150$ | 4,450,000$ | 4,450,000$ | 4,450,000$ | RFA | ||||
Corey Perry | RW | 35 | 800,000$ | 791,397$ | 800,000$ | 800,000$ | UFA | |||||
Curtis Lazar | C/LW/RW | 25 | 450,000$ | 692,473$ | 700,000$ | RFA | ||||||
Danton Heinen | C/LW/RW | 24 | 2,800,000$ | 2,769,892$ | 2,800,000$ | RFA | ||||||
Erik Cernak | D | 23 | 697,500$ | 690,000$ | 697,500$ | 697,500$ | RFA | |||||
Jakob Chychrun | D | 22 | 925,000$ | 915,053$ | 925,000$ | 925,000$ | RFA | |||||
Jared McCann | C/LW | 24 | 1,250,000$ | 1,236,559$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | ||||
Jaroslav Halak | G | 34 | 3,025,000$ | 2,992,473$ | 3,025,000$ | UFA | ||||||
Jordan Eberle | RW | 30 | 3,500,000$ | 3,462,365$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Jordan Kyrou | C/RW | 22 | 758,333$ | 750,178$ | 758,333$ | RFA | ||||||
Lawson Crouse | LW | 23 | 894,167$ | 884,552$ | 894,167$ | 894,167$ | RFA | |||||
Markus Nutivaara | D | 26 | 575,000$ | 568,817$ | 575,000$ | RFA | ||||||
Martin Marincin | D | 28 | 450,000$ | 445,161$ | 450,000$ | 450,000$ | 450,000$ | UFA | ||||
Richard Panik | LW/RW | 29 | 2,000,000$ | 1,978,494$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Sam Steel | C | 22 | 863,333$ | 854,049$ | 863,333$ | RFA | ||||||
Scott Harrington | D | 27 | 675,000$ | 667,741$ | 675,000$ | 675,000$ | UFA | |||||
Sidney Crosby | C | 32 | 16,000,000$ | 15,827,956$ | 16,000,000$ | 16,000,000$ | 16,000,000$ | UFA | ||||
Tomas Tatar | LW/RW | 29 | 2,750,000$ | 2,720,430$ | 2,750,000$ | UFA | ||||||
Zdeno Chara | D | 43 | 2,500,000$ | 2,473,118$ | 2,500,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Mascherin | LW | 22 | 775,000$ | 76,705$ | 77,500$ | RFA | ||||||
Adam Ruzicka | C/LW/RW | 21 | 550,000$ | 54,436$ | 55,000$ | RFA | ||||||
Beck Malenstyn | LW | 22 | 736,666$ | 72,911$ | 73,667$ | RFA | ||||||
Bobby Nardella | D | 24 | 925,000$ | 91,551$ | 92,500$ | 92,500$ | RFA | |||||
Cam Dineen | D | 22 | 745,000$ | 73,736$ | 74,500$ | RFA | ||||||
Chase Pearson | C | 22 | 858,750$ | 84,994$ | 85,875$ | RFA | ||||||
Christian Jaros | D | 24 | 755,000$ | 74,726$ | 75,500$ | RFA | ||||||
Colton Point | G | 22 | 925,000$ | 91,551$ | 92,500$ | RFA | ||||||
David Hrenak | G | 22 | 475,000$ | 47,013$ | 47,500$ | RFA | ||||||
Devan Dubnyk | G | 33 | 3,600,000$ | 3,561,290$ | 3,600,000$ | 3,600,000$ | UFA | |||||
Isaac Ratcliffe | LW | 21 | 875,000$ | 86,603$ | 87,500$ | RFA | ||||||
Jacob Bryson | D | 22 | 550,000$ | 54,436$ | 55,000$ | RFA | ||||||
Jonathan Ang | C | 22 | 745,000$ | 73,736$ | 74,500$ | 74,500$ | RFA | |||||
Justin Kirkland | C/LW | 23 | 717,500$ | 71,014$ | 71,750$ | RFA | ||||||
Marian Studenic | RW | 21 | 500,000$ | 49,487$ | 50,000$ | RFA | ||||||
Marko Dano | C/LW | 25 | 800,000$ | 79,179$ | 80,000$ | RFA | ||||||
Martin Fehervary | D | 20 | 725,000$ | 71,756$ | 72,500$ | 72,500$ | RFA | |||||
Martin Pospisil | C | 20 | 550,000$ | 54,436$ | 55,000$ | 55,000$ | RFA | |||||
Matthew Strome | LW | 21 | 550,000$ | 54,436$ | 55,000$ | RFA | ||||||
Milos Roman | C | 20 | 500,000$ | 49,487$ | 50,000$ | RFA | ||||||
Mitch Vande Sompel | D | 23 | 728,333$ | 72,086$ | 72,833$ | RFA | ||||||
Morgan Barron | C | 21 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Morgan Frost | C | 21 | 875,000$ | 86,603$ | 87,500$ | RFA | ||||||
Olli Juolevi | D | 22 | 863,333$ | 85,448$ | 86,333$ | RFA | ||||||
Olof Lindbom | G | 19 | 875,000$ | 86,603$ | 87,500$ | 87,500$ | RFA | |||||
Peter Cehlarik | LW/RW | 24 | 2,250,000$ | 2,225,806$ | 2,250,000$ | 2,250,000$ | RFA | |||||
Roman Durny | G | 22 | 475,000$ | 47,013$ | 47,500$ | RFA | ||||||
Ryan McLeod | C | 20 | 725,000$ | 71,756$ | 72,500$ | 72,500$ | RFA | |||||
Ryan Merkley | D | 19 | 875,000$ | 86,603$ | 87,500$ | 87,500$ | RFA | |||||
Shane Bowers | C | 20 | 725,000$ | 71,756$ | 72,500$ | RFA | ||||||
Skyler Brind'Amour | C | 20 | 475,000$ | 47,013$ | 47,500$ | RFA | ||||||
Ty Smith | D | 20 | 875,000$ | 86,603$ | 87,500$ | 87,500$ | RFA | |||||
Victor Mete | D | 22 | 748,333$ | 74,066$ | 74,833$ | RFA | ||||||
William Bitten | C/RW | 21 | 805,000$ | 79,674$ | 80,500$ | RFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 13 | 8 | 7 | 0 | 33 | 10 | 8 | 22 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 1 | 16 | 25 | 64.00% | 8 | 16 | 50.00% | 7 | 17 | 41.18% | 23 | 15 | 20 | 8 | 16 | 7 | 25.0% | 7.1% | 84.8% | 92.0 | Unlucky |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 13 | 8 | 7 | 0 | 33 | 10 | 8 | 22 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 1 | 16 | 25 | 64.00% | 8 | 16 | 50.00% | 7 | 17 | 41.18% | 23 | 15 | 20 | 8 | 16 | 7 | 25.0% | 7.1% | 84.8% | 92.0 | Unlucky | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 13 | 8 | 7 | 0 | 33 | 10 | 8 | 22 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 1 | 16 | 25 | 64.00% | 8 | 16 | 50.00% | 7 | 17 | 41.18% | 23 | 15 | 20 | 8 | 16 | 7 | 25.0% | 7.1% | 84.8% | 92.0 | Unlucky | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 13 | 8 | 7 | 0 | 33 | 10 | 8 | 22 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 1 | 16 | 25 | 64.00% | 8 | 16 | 50.00% | 7 | 17 | 41.18% | 23 | 15 | 20 | 8 | 16 | 7 | 25.0% | 7.1% | 84.8% | 92.0 | Unlucky | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 28 | 13 | 8 | 7 | 0 | 33 | 10 | 8 | 22 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 1 | 16 | 25 | 64.00% | 8 | 16 | 50.00% | 7 | 17 | 41.18% | 23 | 15 | 20 | 8 | 16 | 7 | 25.0% | 7.1% | 84.8% | 92.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 16 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 25 |
Neutral Zone Start | 17 |
Defensive Zone Start | 16 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 31 |
Faceoffs Lost | 27 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.0 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 28.0 | 30.68 |
Overtime | 28.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 2.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.0 | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 1 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 1 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 3 |
---|---|
PP Goal | 1 |
PK Attempt | 4 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 28.0 |
Shots Against | 33.0 |
Goals For | 2.0 |
Goals Against | 5.0 |
Hits | 22.0 |
Shots Blocked | 10.0 |
Pim | 8.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mon, Jan 25 | ![]() | @ | ![]() | CRU5,LYN2 | RECAP | |||||||||
Wed, Jan 27 | ![]() | @ | ![]() | |||||||||||
Fri, Jan 29 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 30 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 1 | ![]() | @ | ![]() | |||||||||||
Wed, Feb 3 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 5 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 8 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 9 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 12 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 15 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 16 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 20 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 22 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 23 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 25 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 27 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 1 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 2 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 5 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 7 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 10 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 13 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 15 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 18 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 20 | ![]() | @ | ![]() | |||||||||||
Sun, Mar 21 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 24 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 26 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 27 | ![]() | @ | ![]() | |||||||||||
Wed, Mar 31 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 2 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 4 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 5 | ![]() | @ | ![]() | |||||||||||
Wed, Apr 7 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 9 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 11 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 13 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 15 | ![]() | @ | ![]() | |||||||||||
Fri, Apr 16 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 19 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 20 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 22 | ![]() | @ | ![]() | |||||||||||
Sun, Apr 25 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 26 | ![]() | @ | ![]() | |||||||||||
Sat, May 1 | ![]() | @ | ![]() | |||||||||||
Mon, May 3 | ![]() | @ | ![]() | |||||||||||
Wed, May 5 | ![]() | @ | ![]() | |||||||||||
Fri, May 7 | ![]() | @ | ![]() | |||||||||||
Tue, May 11 | ![]() | @ | ![]() | |||||||||||
Fri, May 14 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
Sun, May 16 | ![]() | @ | ![]() | |||||||||||
Tue, May 18 | ![]() | @ | ![]() | |||||||||||
Wed, May 19 | ![]() | @ | ![]() | |||||||||||
Sat, May 22 | ![]() | @ | ![]() | |||||||||||
Sun, May 23 | ![]() | @ | ![]() | |||||||||||
Wed, May 26 | ![]() | @ | ![]() | |||||||||||
Fri, May 28 | ![]() | @ | ![]() | |||||||||||
Sat, May 29 | ![]() | @ | ![]() | |||||||||||
Tue, Jun 1 | ![]() | @ | ![]() | |||||||||||
Thu, Jun 3 | ![]() | @ | ![]() | |||||||||||
Sat, Jun 5 | ![]() | @ | ![]() | |||||||||||
Sun, Jun 6 | ![]() | @ | ![]() | |||||||||||
Wed, Jun 9 | ![]() | @ | ![]() | |||||||||||
Fri, Jun 11 | ![]() | @ | ![]() | |||||||||||
Sat, Jun 12 | ![]() | @ | ![]() | |||||||||||
Tue, Jun 15 | ![]() | @ | ![]() | |||||||||||
Thu, Jun 17 | ![]() | @ | ![]() | |||||||||||
Fri, Jun 18 | ![]() | @ | ![]() | |||||||||||
Mon, Jun 21 | ![]() | @ | ![]() | |||||||||||
Wed, Jun 23 | ![]() | @ | ![]() | |||||||||||
Sat, Jun 26 | ![]() | @ | ![]() | |||||||||||
Sun, Jun 27 | ![]() | @ | ![]() | |||||||||||
Thu, Jul 1 | ![]() | @ | ![]() | |||||||||||
Sun, Jul 4 | ![]() | @ | ![]() | |||||||||||
Wed, Jul 7 | ![]() | @ | ![]() | |||||||||||
Sat, Jul 10 | ![]() | @ | ![]() | |||||||||||
Sun, Jul 11 | ![]() | @ | ![]() | |||||||||||
Wed, Jul 14 | ![]() | @ | ![]() | |||||||||||
Sat, Jul 17 | ![]() | @ | ![]() | |||||||||||
Tue, Jul 20 | ![]() | @ | ![]() | |||||||||||
Sat, Jul 24 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
53,838,333$ | 1,727,500$ | 57,841,018$ | 21,158,982$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Lansing | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 4682 | 3594 | 1452 | 3163 | 710 |
Attendance PCT | 78.03% | 71.88% | 72.60% | 79.08% | 71.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
40 | 13601 - 75.56% | 939,920$ | 939,920$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
53,838,333$ | 53,588,333$ | 0$ | 1,727,500$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
578,906$ | 289,453$ | 578,906$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
37,596,800$ | 184 | 289,453$ | 53,259,352$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
55,511,276$ | 57,841,018$ | 77,478,393$ | 59,563,917$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Ben McCartney | ![]() | 2020 | 193 | ||
Blake Murray | ![]() | 2019 | 170 | ||
Bowen Byram | ![]() | 2019 | 4 | ||
Dylan Holloway | ![]() | 2020 | 12 | ||
Ethan Edwards | ![]() | 2020 | 124 | ||
Ethan Keppen | ![]() | 2019 | 122 | ||
Gage Goncalves | ![]() | 2020 | 68 | ||
Greg Meireles | ![]() | 2019 | 155 | ||
Hunter Skinner | ![]() | 2019 | 114 | ||
Isaak Phillips | ![]() | 2020 | 143 | ||
Jordan Spence | ![]() | 2019 | 89 | ||
Luke Evangelista | ![]() | 2020 | 40 | ||
Matthew Stienburg | ![]() | 2019 | 58 | ||
Maxim Cajkovic | ![]() | 2019 | 86 | ||
Philip Tomasino | ![]() | 2019 | 20 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Ben McCartney | ![]() | 2020 | 193 | ||
Blake Murray | ![]() | 2019 | 170 | ||
Bowen Byram | ![]() | 2019 | 4 | ||
Dylan Holloway | ![]() | 2020 | 12 | ||
Ethan Edwards | ![]() | 2020 | 124 | ||
Ethan Keppen | ![]() | 2019 | 122 | ||
Gage Goncalves | ![]() | 2020 | 68 | ||
Greg Meireles | ![]() | 2019 | 155 | ||
Hunter Skinner | ![]() | 2019 | 114 | ||
Isaak Phillips | ![]() | 2020 | 143 | ||
Jordan Spence | ![]() | 2019 | 89 | ||
Luke Evangelista | ![]() | 2020 | 40 | ||
Matthew Stienburg | ![]() | 2019 | 58 | ||
Maxim Cajkovic | ![]() | 2019 | 86 | ||
Philip Tomasino | ![]() | 2019 | 20 |
![]() |