|
|
|
Full Scoreboard >> |
|
|
|
Full Scoreboard >> |
![]() | Lansing Lynx 3-5-3, 9pts · 12th 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 | C | 100.00 | 77 | 44 | 85 | 87 | 72 | 84 | 99 | 95 | 99 | 87 | 94 | 65 | 75 | 91 | 99 | 91 | 75 | 85 | 36 | 8,700,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 69 | 52 | 73 | 82 | 64 | 80 | 99 | 71 | 38 | 86 | 83 | 80 | 25 | 66 | 68 | 84 | 75 | 83 | 25 | 1,500,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 61 | 41 | 91 | 87 | 64 | 78 | 98 | 86 | 34 | 81 | 87 | 62 | 56 | 67 | 69 | 84 | 75 | 79 | 26 | 8,125,000$/8yrs | |||
![]() | 0 | LW/RW | 100.00 | 87 | 59 | 86 | 83 | 83 | 74 | 96 | 78 | 38 | 68 | 79 | 81 | 25 | 71 | 71 | 74 | 75 | 75 | 27 | 4,000,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 69 | 53 | 82 | 82 | 74 | 76 | 97 | 82 | 42 | 82 | 68 | 64 | 63 | 79 | 81 | 74 | 75 | 72 | 31 | 4,000,000$/4yrs | |||
![]() | 0 | C | 100.00 | 71 | 42 | 90 | 89 | 61 | 72 | 93 | 82 | 84 | 79 | 71 | 61 | 63 | 64 | 64 | 74 | 75 | 71 | 25 | 2,100,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 71 | 43 | 95 | 79 | 76 | 67 | 86 | 67 | 83 | 67 | 68 | 80 | 25 | 63 | 65 | 68 | 75 | 70 | 24 | 2,100,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 61 | 41 | 82 | 80 | 67 | 63 | 83 | 76 | 31 | 76 | 70 | 65 | 63 | 60 | 61 | 73 | 75 | 70 | 22 | 863,333$/1yrs | |||
![]() | 14 | C/LW | 100.00 | 76 | 43 | 86 | 81 | 66 | 63 | 65 | 81 | 62 | 66 | 77 | 65 | 25 | 69 | 69 | 72 | 75 | 70 | 28 | 4,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 89 | 60 | 86 | 75 | 66 | 97 | 71 | 70 | 82 | 60 | 59 | 53 | 74 | 76 | 69 | 75 | 67 | 29 | 2,000,000$/4yrs | |||
![]() | 0 | C | 100.00 | 71 | 52 | 88 | 81 | 68 | 64 | 88 | 65 | 50 | 65 | 62 | 81 | 25 | 67 | 68 | 63 | 75 | 67 | 26 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 45 | 87 | 78 | 84 | 80 | 78 | 62 | 25 | 64 | 50 | 96 | 75 | 80 | 83 | 63 | 75 | 76 | 33 | 1,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 44 | 79 | 87 | 76 | 85 | 82 | 83 | 25 | 65 | 60 | 71 | 63 | 70 | 70 | 75 | 75 | 75 | 26 | 4,600,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 53 | 78 | 81 | 77 | 82 | 91 | 69 | 25 | 62 | 54 | 81 | 61 | 77 | 78 | 66 | 75 | 73 | 29 | 3,300,000$/5yrs | |||
![]() | 0 | D | 100.00 | 94 | 78 | 75 | 82 | 86 | 77 | 87 | 63 | 25 | 52 | 48 | 92 | 25 | 69 | 73 | 58 | 75 | 72 | 27 | 3,500,000$/5yrs | |||
![]() | 0 | D | 100.00 | 86 | 46 | 79 | 74 | 85 | 79 | 94 | 64 | 25 | 54 | 48 | 88 | 80 | 76 | 80 | 59 | 75 | 71 | 33 | 2,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 93 | 46 | 88 | 79 | 75 | 78 | 84 | 63 | 25 | 54 | 48 | 86 | 25 | 63 | 64 | 59 | 75 | 70 | 24 | 2,675,000$/3yrs | |||
![]() | 0 | D | 100.00 | 82 | 45 | 81 | 64 | 72 | 71 | 79 | 64 | 25 | 53 | 47 | 83 | 25 | 49 | 49 | 59 | 75 | 69 | 22 | 859,167$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 67 | 42 | 90 | 79 | 65 | 62 | 93 | 67 | 33 | 66 | 64 | 67 | 59 | 79 | 82 | 65 | 75 | 65 | 33 | 750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 67 | 72 | 74 | 82 | 62 | 56 | 61 | 25 | 39 | 47 | 80 | 25 | 71 | 74 | 51 | 75 | 62 | 35 | 475,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 66 | 83 | 67 | 66 | 67 | 72 | 55 | 25 | 48 | 47 | 48 | 46 | 42 | 42 | 62 | 75 | 58 | 24 | 775,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 75 | 52 | 82 | 80 | 73 | 73 | 87 | 72 | 42 | 66 | 63 | 74 | 47 | 69 | 71 | 69 | 75 | 71 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 69 | 73 | 75 | 73 | 78 | 60 | 69 | 70 | 65 | 68 | 84 | 86 | 93 | 77 | 75 | 76 | 39 | 2,250,000$/2yrs |
![]() | 1 | 100.00 | 63 | 57 | 58 | 71 | 67 | 58 | 69 | 62 | 65 | 62 | 59 | 61 | 62 | 74 | 75 | 70 | 31 | 600,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 66 | 65 | 67 | 72 | 73 | 59 | 69 | 66 | 65 | 65 | 72 | 74 | 78 | 76 | 75 | 73 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
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 | 11 | 8 | 8 | 16 | 8 | 8 | 0 | 21 | 47 | 18 | 41 | 17.02% | 0 | 22.16 | 2 | 1 | 3 | 0 | 1 | 1 | 42 | 1 | 1 | 62.07% | 377 | 0 | 0 | 0 | 0 | 1.31 | 0 | 1 |
2 | Jordan Kyrou | ![]() | 0 | C/RW | 11 | 4 | 9 | 13 | 8 | 0 | 0 | 3 | 52 | 12 | 28 | 7.69% | 4 | 22.37 | 1 | 3 | 4 | 2 | 0 | 2 | 44 | 2 | 0 | 50.00% | 18 | 0 | 0 | 0 | 0 | 1.06 | 0 | 1 |
3 | Jakob Chychrun | ![]() | 0 | D | 11 | 3 | 8 | 11 | 5 | 6 | 0 | 21 | 19 | 4 | 13 | 15.79% | 18 | 25.62 | 2 | 2 | 4 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 |
4 | David Savard | ![]() | 0 | D | 11 | 2 | 6 | 8 | 2 | 2 | 0 | 8 | 15 | 7 | 12 | 13.33% | 15 | 21.16 | 0 | 0 | 0 | 0 | 2 | 2 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 1 |
5 | Brandon Hagel | ![]() | 0 | LW | 11 | 4 | 4 | 8 | 8 | 2 | 0 | 16 | 36 | 14 | 31 | 11.11% | 4 | 19.80 | 0 | 1 | 1 | 0 | 0 | 0 | 19 | 0 | 0 | 18.75% | 32 | 0 | 0 | 1 | 0 | 0.73 | 1 | 1 |
6 | Lawson Crouse | ![]() | 0 | LW/RW | 11 | 3 | 3 | 6 | -8 | 4 | 0 | 34 | 27 | 14 | 36 | 11.11% | 2 | 17.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 16 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 |
7 | Martin Fehervary | ![]() | 0 | D | 11 | 0 | 6 | 6 | 1 | 14 | 0 | 40 | 16 | 6 | 9 | 0.00% | 10 | 20.95 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 |
8 | Damon Severson | ![]() | 0 | D | 11 | 1 | 4 | 5 | 3 | 4 | 0 | 13 | 17 | 6 | 10 | 5.88% | 14 | 15.93 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 |
9 | Jonathan Huberdeau | ![]() | 0 | LW | 11 | 1 | 3 | 4 | -3 | 0 | 0 | 7 | 6 | 2 | 8 | 16.67% | 0 | 9.36 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 15 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 |
10 | Max Domi | ![]() | 0 | C/LW | 11 | 1 | 3 | 4 | -3 | 9 | 5 | 25 | 19 | 0 | 12 | 5.26% | 3 | 17.18 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 30.00% | 10 | 0 | 0 | 0 | 0 | 0.42 | 1 | 1 |
11 | Philip Tomasino | ![]() | 0 | C/LW/RW | 11 | 2 | 1 | 3 | -2 | 2 | 0 | 4 | 32 | 9 | 14 | 6.25% | 1 | 18.14 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 20.00% | 10 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 |
12 | Robby Fabbri | ![]() | 14 | C/LW | 11 | 1 | 2 | 3 | -3 | 6 | 0 | 18 | 28 | 5 | 23 | 3.57% | 2 | 19.28 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 41.13% | 231 | 0 | 0 | 0 | 0 | 0.28 | 0 | 1 |
13 | Erik Cernak | ![]() | 0 | D | 11 | 1 | 2 | 3 | 4 | 12 | 0 | 19 | 3 | 0 | 0 | 33.33% | 4 | 6.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 |
14 | Morgan Frost | ![]() | 0 | C | 11 | 0 | 2 | 2 | -3 | 10 | 0 | 2 | 17 | 3 | 9 | 0.00% | 0 | 8.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.26% | 114 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
15 | Ryan McLeod | ![]() | 0 | C/LW/RW | 11 | 1 | 0 | 1 | -4 | 0 | 0 | 2 | 13 | 2 | 6 | 7.69% | 1 | 10.35 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 42.86% | 14 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 |
16 | Ben Chiarot | ![]() | 0 | D | 11 | 1 | 0 | 1 | -9 | 14 | 0 | 18 | 5 | 0 | 6 | 20.00% | 14 | 15.90 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 1 |
17 | Sam Steel | ![]() | 0 | C | 11 | 1 | 0 | 1 | -4 | 2 | 0 | 2 | 7 | 2 | 7 | 14.29% | 2 | 9.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.59% | 123 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 |
18 | Isaak Phillips | ![]() | 0 | D | 11 | 0 | 0 | 0 | -8 | 4 | 0 | 18 | 6 | 1 | 0 | 0.00% | 10 | 14.06 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 34 | 61 | 95 | -8 | 99 | 5 | 271 | 365 | 105 | 265 | 9.32% | 104 | 16.35 | 6 | 10 | 16 | 395 | 2 | 3 | 5 | 297 | 3 | 1 | 49.17% | 960 | 0 | 0 | 1 | 0 | 0.59 | 2 | 7 |
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 | Marc-Andre Fleury | ![]() | 11 | 3 | 5 | 3 | 0.896 | 3.61 | 665 | 0 | 0 | 40 | 383 | 0 | 1 | 0 | 0.571 | 7 | 11 | 0 | 0 | 0 | 0 |
Team Total or Average | 11 | 3 | 5 | 3 | 0.896 | 3.61 | 665 | 0 | 0 | 40 | 383 | 0 | 1 | 0 | 0.571 | 7 | 11 | 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 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 0 | 0 | 3 | 0 | 4 | 0 | 26.5 | 19 | 11 | 23 | 0 | 31.5 | 8.5 | 10.00 | 27.0 | 3.00 | 0.00 | 0.00% | 5.00 | 1.00 | 80.00% | 1 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 22.00 | 15.00 | 24.50 | 7.50 | 13.00 | 5.50 | 53.8% | 13.2% | 87.3% | 100.5 | FUN |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3.50 | 3.50 | 0.00 | 3 | 0.750 | 3.5 | 6.0 | 9.5 | 0 | 0 | 3 | 3 | 1 | 0 | 41.5 | 19 | 29 | 35 | 0 | 41.0 | 11.5 | 14.50 | 30.5 | 7.50 | 0.50 | 6.67% | 6.00 | 0.50 | 91.67% | 1 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 25.50 | 17.50 | 22.00 | 6.50 | 12.00 | 6.00 | 50.0% | 8.4% | 91.5% | 99.9 | DULL |
3 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2.50 | 4.00 | -1.50 | 1 | 0.250 | 2.5 | 5.0 | 7.5 | 0 | 0 | 3 | 2 | 0 | 2 | 30.5 | 18 | 20 | 21 | 9 | 32.0 | 10.5 | 10.00 | 23.0 | 4.00 | 1.00 | 25.00% | 5.00 | 2.00 | 60.00% | 0 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 25.50 | 17.50 | 23.50 | 7.00 | 13.00 | 6.50 | 42.9% | 8.2% | 87.5% | 95.7 | Unlucky |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 6.00 | -2.00 | 0 | 0.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 3 | 0 | 0 | 54.0 | 10 | 28 | 16 | 0 | 40.0 | 13.0 | 2.00 | 21.0 | 6.00 | 2.00 | 33.33% | 1.00 | 1.00 | 0.00% | 0 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 25.00 | 18.00 | 20.00 | 7.00 | 13.00 | 6.00 | 28.6% | 7.4% | 85.0% | 92.4 | Unlucky |
5 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 3.50 | -2.00 | 0 | 0.000 | 1.5 | 3.0 | 4.5 | 0 | 0 | 2 | 1 | 0 | 0 | 24.0 | 18 | 16 | 14 | 0 | 36.0 | 9.5 | 9.00 | 23.5 | 2.50 | 0.00 | 0.00% | 4.50 | 0.50 | 88.89% | 0 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 21.00 | 14.00 | 25.50 | 7.50 | 13.00 | 6.00 | 33.3% | 6.3% | 90.3% | 96.5 | Unlucky |
6 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4.00 | 2.50 | 1.50 | 3 | 0.750 | 4.0 | 6.5 | 10.5 | 0 | 0 | 0 | 3 | 5 | 0 | 33.0 | 21 | 22 | 22 | 1 | 31.0 | 5.5 | 5.00 | 21.0 | 4.00 | 0.50 | 12.50% | 2.50 | 0.50 | 80.00% | 0 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 25.00 | 17.00 | 21.50 | 6.50 | 12.50 | 6.00 | 63.6% | 12.1% | 91.9% | 104.1 | LUCKY |
_Vs Division | 11 | 3 | 5 | 0 | 0 | 2 | 0 | 1 | 3.09 | 3.73 | -0.64 | 9 | 0.409 | 3.1 | 5.5 | 8.6 | 0 | 0 | 12 | 12 | 10 | 2 | 33.2 | 105 | 126 | 131 | 10 | 34.8 | 9.5 | 9.00 | 24.6 | 4.36 | 0.55 | 12.50% | 4.27 | 0.91 | 78.72% | 2 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 24.18 | 16.64 | 23.36 | 7.27 | 12.91 | 6.18 | 47.5% | 9.3% | 89.3% | 98.6 | FUN | |
_Vs Conference | 11 | 3 | 5 | 0 | 0 | 2 | 0 | 1 | 3.09 | 3.73 | -0.64 | 9 | 0.409 | 3.1 | 5.5 | 8.6 | 0 | 0 | 12 | 12 | 10 | 2 | 33.2 | 105 | 126 | 131 | 10 | 34.8 | 9.5 | 9.00 | 24.6 | 4.36 | 0.55 | 12.50% | 4.27 | 0.91 | 78.72% | 2 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 24.18 | 16.64 | 23.36 | 7.27 | 12.91 | 6.18 | 47.5% | 9.3% | 89.3% | 98.6 | FUN | |
_Since Last GM Reset | 11 | 3 | 5 | 0 | 0 | 2 | 0 | 1 | 3.09 | 3.73 | -0.64 | 9 | 0.409 | 3.1 | 5.5 | 8.6 | 0 | 0 | 12 | 12 | 10 | 2 | 33.2 | 105 | 126 | 131 | 10 | 34.8 | 9.5 | 9.00 | 24.6 | 4.36 | 0.55 | 12.50% | 4.27 | 0.91 | 78.72% | 2 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 24.18 | 16.64 | 23.36 | 7.27 | 12.91 | 6.18 | 47.5% | 9.3% | 89.3% | 98.6 | FUN | |
Total | 11 | 3 | 5 | 0 | 0 | 2 | 0 | 1 | 3.09 | 3.73 | -0.64 | 9 | 0.409 | 3.1 | 5.5 | 8.6 | 0 | 0 | 12 | 12 | 10 | 2 | 33.2 | 105 | 126 | 131 | 10 | 34.8 | 9.5 | 9.00 | 24.6 | 4.36 | 0.55 | 12.50% | 4.27 | 0.91 | 78.72% | 2 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 24.18 | 16.64 | 23.36 | 7.27 | 12.91 | 6.18 | 47.5% | 9.3% | 89.3% | 98.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 383 |
Neutral Zone Start | 182 |
Defensive Zone Start | 385 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 472 |
Faceoffs Lost | 478 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 32.9 | 30.68 |
Overtime | 33.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 26 |
---|---|
PP Goal | 6 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 1 |
Lost | 3 | 2 |
Overtime Lost | 1 | 2 |
PP Attempt | 48 |
---|---|
PP Goal | 6 |
PK Attempt | 47 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 33.2 |
Shots Against | 34.8 |
Goals For | 3.1 |
Goals Against | 3.7 |
Hits | 24.6 |
Shots Blocked | 9.5 |
Pim | 9.0 |
![]() | |
Total Salaries | 62,772,500$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 52 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 15 |
LTIR Players | 0 |
Lynx Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Ben Chiarot | D | 33 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Brandon Hagel | LW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | ||||||
Damon Severson | D | 29 | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | UFA | ||
David Savard | D | 33 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Erik Cernak | D | 27 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||
Isaak Phillips | D | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | ||||||
Jakob Chychrun | D | 26 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | |||||
Jonathan Huberdeau | LW | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Jordan Kyrou | C/RW | 26 | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | 8,125,000$ | |
Lawson Crouse | LW/RW | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Marc-Andre Fleury | G | 39 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Martin Fehervary | D | 24 | 2,675,000$ | 2,675,000$ | 2,675,000$ | 2,675,000$ | 2,675,000$ | RFA | ||||
Max Domi | C/LW | 29 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
Morgan Frost | C | 25 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | RFA | |||||
Philip Tomasino | C/LW/RW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | ||||||
Robby Fabbri | C/LW | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Robert Bortuzzo | D | 35 | 475,000$ | 475,000$ | 475,000$ | UFA | ||||||
Ryan McLeod | C/LW/RW | 24 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | RFA | |||||
Sam Steel | C | 26 | 850,000$ | 850,000$ | 850,000$ | RFA | ||||||
Scott Wedgewood | G | 31 | 600,000$ | 600,000$ | 600,000$ | UFA | ||||||
Sidney Crosby | C | 36 | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | UFA | |||||
Tomas Tatar | LW/RW | 33 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Ty Smith | D | 24 | 775,000$ | 775,000$ | 775,000$ | RFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Zlnka | C/LW/RW | 20 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Beck Malenstyn | LW | 26 | 762,500$ | 76,250$ | 76,250$ | RFA | ||||||
Branislav Konrad | G | 36 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Christian Kyrou | D | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Colton Dach | C/LW | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Danton Heinen | C/LW | 28 | 775,000$ | 77,500$ | 77,500$ | 77,500$ | 77,500$ | UFA | ||||
Dylan Holloway | C/LW | 22 | 925,000$ | 92,500$ | 92,500$ | RFA | ||||||
Ethan Edwards | D | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Ethan Samson | D | 20 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Filip Mesar | RW | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Gage Goncalves | C | 23 | 820,000$ | 82,000$ | 82,000$ | RFA | ||||||
Jakub Demek | RW | 21 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Jordan Spence | D | 23 | 820,000$ | 82,000$ | 82,000$ | RFA | ||||||
Juraj Slafkovsky | LW/RW | 20 | 0$ | 0$ | RFA | |||||||
Lucas Ciona | LW | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Luke Evangelista | RW | 22 | 797,500$ | 79,750$ | 79,750$ | 79,750$ | RFA | |||||
Martin Pospisil | C | 24 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Matej Marinov | G | 21 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Maxime Comtois | LW | 25 | 1,550,000$ | 155,000$ | 155,000$ | 155,000$ | RFA | |||||
Michael DiPietro | G | 25 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Michal Cajkovsky | D | 32 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Milos Kelemen | LW/RW | 24 | 817,500$ | 81,750$ | 81,750$ | RFA | ||||||
Morgan Barron | C/LW/RW | 25 | 1,350,000$ | 135,000$ | 135,000$ | 135,000$ | RFA | |||||
Olof Lindbom | G | 23 | 855,000$ | 85,500$ | 85,500$ | RFA | ||||||
Riley Kidney | C/LW/RW | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Ryan McAllister | C | 22 | 896,667$ | 89,667$ | 89,667$ | 89,667$ | 89,667$ | RFA | ||||
Servac Petrovsky | C/RW | 19 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Simon Nemec | D | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Zack Ostapchuk | LW | 21 | 725,000$ | 72,500$ | 72,500$ | 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 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 4.00 | -0.50 | 2 | 0.500 | 3.5 | 6.5 | 10.0 | 0 | 0 | 3 | 0 | 4 | 0 | 26.5 | 19 | 11 | 23 | 0 | 31.5 | 8.5 | 10.00 | 27.0 | 3.00 | 0.00 | 0.00% | 5.00 | 1.00 | 80.00% | 1 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 22.00 | 15.00 | 24.50 | 7.50 | 13.00 | 5.50 | 53.8% | 13.2% | 87.3% | 100.5 | FUN |
2 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3.50 | 3.50 | 0.00 | 3 | 0.750 | 3.5 | 6.0 | 9.5 | 0 | 0 | 3 | 3 | 1 | 0 | 41.5 | 19 | 29 | 35 | 0 | 41.0 | 11.5 | 14.50 | 30.5 | 7.50 | 0.50 | 6.67% | 6.00 | 0.50 | 91.67% | 1 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 25.50 | 17.50 | 22.00 | 6.50 | 12.00 | 6.00 | 50.0% | 8.4% | 91.5% | 99.9 | DULL |
3 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2.50 | 4.00 | -1.50 | 1 | 0.250 | 2.5 | 5.0 | 7.5 | 0 | 0 | 3 | 2 | 0 | 2 | 30.5 | 18 | 20 | 21 | 9 | 32.0 | 10.5 | 10.00 | 23.0 | 4.00 | 1.00 | 25.00% | 5.00 | 2.00 | 60.00% | 0 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 25.50 | 17.50 | 23.50 | 7.00 | 13.00 | 6.50 | 42.9% | 8.2% | 87.5% | 95.7 | Unlucky |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 6.00 | -2.00 | 0 | 0.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 3 | 0 | 0 | 54.0 | 10 | 28 | 16 | 0 | 40.0 | 13.0 | 2.00 | 21.0 | 6.00 | 2.00 | 33.33% | 1.00 | 1.00 | 0.00% | 0 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 25.00 | 18.00 | 20.00 | 7.00 | 13.00 | 6.00 | 28.6% | 7.4% | 85.0% | 92.4 | Unlucky |
5 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1.50 | 3.50 | -2.00 | 0 | 0.000 | 1.5 | 3.0 | 4.5 | 0 | 0 | 2 | 1 | 0 | 0 | 24.0 | 18 | 16 | 14 | 0 | 36.0 | 9.5 | 9.00 | 23.5 | 2.50 | 0.00 | 0.00% | 4.50 | 0.50 | 88.89% | 0 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 21.00 | 14.00 | 25.50 | 7.50 | 13.00 | 6.00 | 33.3% | 6.3% | 90.3% | 96.5 | Unlucky |
6 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4.00 | 2.50 | 1.50 | 3 | 0.750 | 4.0 | 6.5 | 10.5 | 0 | 0 | 0 | 3 | 5 | 0 | 33.0 | 21 | 22 | 22 | 1 | 31.0 | 5.5 | 5.00 | 21.0 | 4.00 | 0.50 | 12.50% | 2.50 | 0.50 | 80.00% | 0 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 25.00 | 17.00 | 21.50 | 6.50 | 12.50 | 6.00 | 63.6% | 12.1% | 91.9% | 104.1 | LUCKY |
_Vs Division | 11 | 3 | 5 | 0 | 0 | 2 | 0 | 1 | 3.09 | 3.73 | -0.64 | 9 | 0.409 | 3.1 | 5.5 | 8.6 | 0 | 0 | 12 | 12 | 10 | 2 | 33.2 | 105 | 126 | 131 | 10 | 34.8 | 9.5 | 9.00 | 24.6 | 4.36 | 0.55 | 12.50% | 4.27 | 0.91 | 78.72% | 2 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 24.18 | 16.64 | 23.36 | 7.27 | 12.91 | 6.18 | 47.5% | 9.3% | 89.3% | 98.6 | FUN | |
_Vs Conference | 11 | 3 | 5 | 0 | 0 | 2 | 0 | 1 | 3.09 | 3.73 | -0.64 | 9 | 0.409 | 3.1 | 5.5 | 8.6 | 0 | 0 | 12 | 12 | 10 | 2 | 33.2 | 105 | 126 | 131 | 10 | 34.8 | 9.5 | 9.00 | 24.6 | 4.36 | 0.55 | 12.50% | 4.27 | 0.91 | 78.72% | 2 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 24.18 | 16.64 | 23.36 | 7.27 | 12.91 | 6.18 | 47.5% | 9.3% | 89.3% | 98.6 | FUN | |
_Since Last GM Reset | 11 | 3 | 5 | 0 | 0 | 2 | 0 | 1 | 3.09 | 3.73 | -0.64 | 9 | 0.409 | 3.1 | 5.5 | 8.6 | 0 | 0 | 12 | 12 | 10 | 2 | 33.2 | 105 | 126 | 131 | 10 | 34.8 | 9.5 | 9.00 | 24.6 | 4.36 | 0.55 | 12.50% | 4.27 | 0.91 | 78.72% | 2 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 24.18 | 16.64 | 23.36 | 7.27 | 12.91 | 6.18 | 47.5% | 9.3% | 89.3% | 98.6 | FUN | |
Total | 11 | 3 | 5 | 0 | 0 | 2 | 0 | 1 | 3.09 | 3.73 | -0.64 | 9 | 0.409 | 3.1 | 5.5 | 8.6 | 0 | 0 | 12 | 12 | 10 | 2 | 33.2 | 105 | 126 | 131 | 10 | 34.8 | 9.5 | 9.00 | 24.6 | 4.36 | 0.55 | 12.50% | 4.27 | 0.91 | 78.72% | 2 | 189 | 383 | 49.35% | 189 | 385 | 49.09% | 94 | 182 | 51.65% | 24.18 | 16.64 | 23.36 | 7.27 | 12.91 | 6.18 | 47.5% | 9.3% | 89.3% | 98.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 383 |
Neutral Zone Start | 182 |
Defensive Zone Start | 385 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 472 |
Faceoffs Lost | 478 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 21.0 | 20.31 |
3rd Period | 32.9 | 30.68 |
Overtime | 33.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 26 |
---|---|
PP Goal | 6 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 1 |
Lost | 3 | 2 |
Overtime Lost | 1 | 2 |
PP Attempt | 48 |
---|---|
PP Goal | 6 |
PK Attempt | 47 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 33.2 |
Shots Against | 34.8 |
Goals For | 3.1 |
Goals Against | 3.7 |
Hits | 24.6 |
Shots Blocked | 9.5 |
Pim | 9.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | ![]() | @ | ![]() | LYN3,JAG4 (SO) | RECAP | |||||||||
4 | ![]() | @ | ![]() | SLA6,LYN4 | RECAP | |||||||||
6 | ![]() | @ | ![]() | LYN2,MOU5 | RECAP | |||||||||
9 | ![]() | @ | ![]() | MOU3,LYN5 | RECAP | |||||||||
11 | ![]() | @ | ![]() | LYN3,RIN4 (OT) | RECAP | |||||||||
13 | ![]() | @ | ![]() | LYN5,GWS4 | RECAP | |||||||||
15 | ![]() | @ | ![]() | GWS3,LYN2 (OT) | RECAP | |||||||||
18 | ![]() | @ | ![]() | LYN2,CRU4 | RECAP | |||||||||
21 | ![]() | @ | ![]() | CRU3,LYN1 | RECAP | |||||||||
25 | ![]() | @ | ![]() | JAG4,LYN2 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
28 | ![]() | @ | ![]() | RIN1,LYN5 | RECAP | |||||||||
32 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
62,772,500$ | 0$ | 0$ | 83,500,000$ |
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 | 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$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
62,772,500$ | 62,772,500$ | 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$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 109,394,013$ | 109,394,013$ |
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 |
---|---|---|---|---|---|---|---|
2025 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() ![]() ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Alex Ciernik | ![]() | 2023 | 91 | - | Link |
Alexandre Blais | ![]() | 2024 | 119 | 0 | |
Beckett Sennecke | ![]() | 2024 | 2 | 0 | |
Charles-Alexis Legault | ![]() | 2023 | 147 | - | Link |
Dalibor Dvorsky | ![]() | 2023 | 10 | - | Link |
Juraj Pekarcik | ![]() | 2023 | 76 | - | Link |
Maros Jedlicka | ![]() | 2023 | 175 | - | Link |
Maxim Strbak | ![]() | 2023 | 40 | - | Link |
Miroslav Satan | ![]() | 2024 | 106 | 0 | |
Sam Dickinson | ![]() | 2024 | 9 | 0 | |
Samuel Honzek | ![]() | 2023 | 13 | - | Link |
Tomas Lavoie | ![]() | 2024 | 91 | 0 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2025 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() ![]() ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Alex Ciernik | ![]() | 2023 | 91 | - | Link |
Alexandre Blais | ![]() | 2024 | 119 | 0 | |
Beckett Sennecke | ![]() | 2024 | 2 | 0 | |
Charles-Alexis Legault | ![]() | 2023 | 147 | - | Link |
Dalibor Dvorsky | ![]() | 2023 | 10 | - | Link |
Juraj Pekarcik | ![]() | 2023 | 76 | - | Link |
Maros Jedlicka | ![]() | 2023 | 175 | - | Link |
Maxim Strbak | ![]() | 2023 | 40 | - | Link |
Miroslav Satan | ![]() | 2024 | 106 | 0 | |
Sam Dickinson | ![]() | 2024 | 9 | 0 | |
Samuel Honzek | ![]() | 2023 | 13 | - | Link |
Tomas Lavoie | ![]() | 2024 | 91 | 0 |
![]() |