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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | St. Jerome Average Joes 7-5-0, 14pts · 5th in Canadian 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 | 61 | 42 | 92 | 81 | 78 | 83 | 85 | 90 | 95 | 83 | 83 | 77 | 77 | 86 | 90 | 83 | 75 | 82 | 33 | 3,800,000$/2yrs | |||
![]() | 91 | C/RW | 100.00 | 59 | 41 | 89 | 84 | 68 | 78 | 90 | 82 | 34 | 81 | 77 | 66 | 53 | 67 | 67 | 79 | 75 | 76 | 26 | 7,000,000$/7yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 44 | 80 | 85 | 70 | 74 | 95 | 71 | 93 | 70 | 72 | 78 | 63 | 76 | 80 | 71 | 75 | 73 | 33 | 1,400,000$/4yrs | |||
![]() | 0 | C | 100.00 | 63 | 51 | 89 | 88 | 67 | 75 | 99 | 72 | 53 | 63 | 75 | 76 | 25 | 64 | 65 | 70 | 75 | 72 | 22 | 894,167$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 42 | 91 | 78 | 68 | 73 | 94 | 78 | 32 | 78 | 70 | 70 | 49 | 79 | 85 | 73 | 75 | 72 | 33 | 2,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 65 | 51 | 88 | 78 | 60 | 72 | 72 | 80 | 41 | 66 | 71 | 71 | 25 | 52 | 52 | 69 | 75 | 70 | 35 | 3,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 58 | 80 | 79 | 73 | 65 | 77 | 77 | 73 | 66 | 75 | 61 | 25 | 53 | 53 | 71 | 75 | 68 | 23 | 925,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 43 | 93 | 88 | 71 | 67 | 87 | 68 | 36 | 67 | 58 | 77 | 25 | 70 | 72 | 62 | 75 | 66 | 27 | 1,600,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 88 | 46 | 91 | 80 | 73 | 57 | 72 | 65 | 31 | 58 | 70 | 64 | 63 | 64 | 65 | 65 | 75 | 64 | 26 | 1,300,000$/1yrs | |||
![]() | 19 | D | 100.00 | 69 | 43 | 80 | 81 | 73 | 93 | 82 | 95 | 25 | 76 | 54 | 94 | 53 | 73 | 74 | 86 | 75 | 90 | 30 | 4,900,000$/4yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 85 | 93 | 69 | 91 | 92 | 90 | 25 | 76 | 54 | 73 | 63 | 69 | 71 | 84 | 75 | 81 | 24 | 8,450,000$/6yrs | |||
![]() | 0 | D | 100.00 | 71 | 53 | 84 | 77 | 72 | 67 | 88 | 63 | 25 | 56 | 47 | 85 | 25 | 59 | 60 | 60 | 75 | 69 | 25 | 1,400,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 72 | 83 | 65 | 72 | 53 | 55 | 49 | 25 | 42 | 40 | 52 | 38 | 46 | 46 | 52 | 75 | 52 | 27 | 1,137,500$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 73 | 43 | 86 | 79 | 66 | 85 | 91 | 86 | 84 | 89 | 70 | 82 | 60 | 78 | 81 | 78 | 75 | 80 | 32 | 2,500,000$/4yrs | |||
![]() | 62 | LW | 100.00 | 76 | 43 | 90 | 79 | 67 | 78 | 72 | 84 | 35 | 79 | 86 | 73 | 25 | 73 | 76 | 83 | 75 | 80 | 28 | 4,500,000$/4yrs | |||
![]() | 15 | C/LW | 100.00 | 73 | 43 | 89 | 82 | 66 | 76 | 99 | 77 | 79 | 79 | 70 | 84 | 75 | 74 | 76 | 74 | 75 | 76 | 29 | 4,500,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 71 | 52 | 86 | 83 | 61 | 73 | 99 | 82 | 39 | 77 | 78 | 63 | 25 | 67 | 67 | 78 | 75 | 74 | 24 | 5,000,000$/5yrs | |||
![]() | 6 | D | 100.00 | 82 | 45 | 92 | 80 | 79 | 86 | 87 | 71 | 25 | 58 | 50 | 91 | 25 | 69 | 73 | 65 | 75 | 76 | 29 | 4,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 89 | 56 | 76 | 73 | 73 | 33 | 99 | 62 | 25 | 52 | 48 | 93 | 25 | 64 | 66 | 57 | 75 | 67 | 28 | 1,750,000$/5yrs | |||
![]() | 0 | D | 100.00 | 99 | 90 | 75 | 72 | 79 | 71 | 88 | 64 | 25 | 45 | 47 | 86 | 25 | 62 | 62 | 55 | 75 | 67 | 25 | 775,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 74 | 50 | 86 | 80 | 70 | 73 | 86 | 75 | 45 | 68 | 65 | 76 | 42 | 67 | 69 | 71 | 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 | 100.00 | 76 | 94 | 90 | 63 | 73 | 79 | 69 | 78 | 76 | 76 | 91 | 67 | 68 | 82 | 75 | 84 | 29 | 5,000,000$/4yrs |
![]() | 0 | 100.00 | 70 | 78 | 74 | 75 | 75 | 65 | 69 | 70 | 69 | 70 | 75 | 52 | 52 | 78 | 75 | 77 | 24 | 812,500$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 73 | 86 | 82 | 69 | 74 | 72 | 69 | 74 | 73 | 73 | 83 | 60 | 60 | 80 | 75 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Mika Laakso |
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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 | Artturi Lehkonen | ![]() | 62 | LW | 12 | 8 | 4 | 12 | 3 | 10 | 0 | 12 | 40 | 11 | 24 | 20.00% | 1 | 17.12 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 3 | 0 | 19.05% | 21 | 0 | 0 | 0 | 1 | 1.17 | 0 | 0 |
2 | Ryan Pulock | ![]() | 6 | D | 12 | 2 | 8 | 10 | 0 | 2 | 0 | 11 | 15 | 4 | 7 | 13.33% | 15 | 22.29 | 1 | 0 | 1 | 0 | 0 | 0 | 35 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 |
3 | Miro Heiskanen | ![]() | 0 | D | 12 | 1 | 9 | 10 | 3 | 13 | 5 | 24 | 19 | 3 | 7 | 5.26% | 13 | 25.71 | 0 | 1 | 1 | 0 | 1 | 1 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 |
4 | Mikael Granlund | ![]() | 0 | C/RW | 12 | 4 | 5 | 9 | -2 | 10 | 0 | 22 | 34 | 7 | 28 | 11.76% | 2 | 18.16 | 1 | 1 | 2 | 0 | 0 | 0 | 6 | 0 | 0 | 58.33% | 48 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 |
5 | Ryan O'Reilly | ![]() | 0 | C | 12 | 1 | 7 | 8 | 3 | 2 | 0 | 3 | 24 | 7 | 16 | 4.17% | 1 | 11.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70.07% | 137 | 0 | 0 | 0 | 0 | 1.18 | 0 | 0 |
6 | Dawson Mercer | ![]() | 0 | C | 12 | 2 | 3 | 5 | 2 | 8 | 0 | 11 | 16 | 5 | 21 | 12.50% | 2 | 19.69 | 0 | 0 | 0 | 1 | 0 | 1 | 38 | 1 | 0 | 40.44% | 183 | 0 | 0 | 1 | 0 | 0.42 | 0 | 0 |
7 | Kasperi Kapanen | ![]() | 0 | LW/RW | 8 | 1 | 4 | 5 | 2 | 2 | 0 | 2 | 5 | 3 | 10 | 20.00% | 0 | 13.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 45.45% | 11 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 |
8 | Mike Matheson | ![]() | 19 | D | 12 | 2 | 3 | 5 | 0 | 10 | 0 | 18 | 14 | 0 | 14 | 14.29% | 13 | 19.30 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
9 | Joel Farabee | ![]() | 0 | LW | 12 | 3 | 1 | 4 | 0 | 4 | 0 | 7 | 18 | 1 | 15 | 16.67% | 1 | 11.46 | 0 | 1 | 1 | 0 | 0 | 0 | 8 | 0 | 1 | 31.00% | 100 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 |
10 | Troy Terry | ![]() | 91 | C/RW | 12 | 2 | 2 | 4 | 3 | 2 | 0 | 7 | 31 | 11 | 20 | 6.45% | 0 | 18.05 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 35.59% | 59 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 |
11 | Alexander Kerfoot | ![]() | 15 | C/LW | 12 | 2 | 2 | 4 | -1 | 0 | 0 | 9 | 23 | 5 | 19 | 8.70% | 1 | 11.11 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 55.56% | 45 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 |
12 | Cam Atkinson | ![]() | 0 | RW | 12 | 1 | 2 | 3 | -1 | 0 | 0 | 13 | 22 | 4 | 15 | 4.55% | 1 | 15.82 | 0 | 1 | 1 | 0 | 0 | 0 | 41 | 1 | 0 | 26.04% | 96 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 |
13 | Erik Haula | ![]() | 0 | C/LW | 12 | 1 | 1 | 2 | -5 | 4 | 0 | 13 | 26 | 4 | 12 | 3.85% | 1 | 18.56 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 60.14% | 286 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 |
14 | Reilly Smith | ![]() | 0 | LW/RW | 12 | 1 | 1 | 2 | 0 | 0 | 0 | 3 | 7 | 4 | 6 | 14.29% | 0 | 10.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22.22% | 9 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 |
15 | Dylan Samberg | ![]() | 0 | D | 12 | 0 | 2 | 2 | -1 | 6 | 0 | 14 | 16 | 3 | 5 | 0.00% | 22 | 21.01 | 0 | 0 | 0 | 0 | 1 | 1 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 |
16 | Dmitri Voronkov | ![]() | 0 | C/LW | 12 | 0 | 1 | 1 | -1 | 2 | 0 | 16 | 16 | 3 | 8 | 0.00% | 0 | 9.96 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 35.29% | 17 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 |
17 | Simon Benoit | ![]() | 0 | D | 10 | 0 | 1 | 1 | 0 | 12 | 0 | 34 | 7 | 2 | 4 | 0.00% | 8 | 15.20 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 |
18 | Niko Mikkola | ![]() | 0 | D | 10 | 0 | 0 | 0 | 0 | 4 | 0 | 17 | 5 | 2 | 3 | 0.00% | 12 | 13.88 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 208 | 31 | 56 | 87 | 5 | 91 | 5 | 236 | 338 | 79 | 234 | 9.17% | 93 | 16.33 | 2 | 6 | 8 | 373 | 1 | 2 | 3 | 296 | 6 | 2 | 48.32% | 1012 | 0 | 0 | 1 | 1 | 0.51 | 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 | Juuse Saros | ![]() | 12 | 7 | 5 | 0 | 0.900 | 3.32 | 686 | 0 | 0 | 38 | 379 | 0 | 1 | 0 | 0.000 | 0 | 12 | 0 | 1 | 0 | 0 |
2 | Lukas Dostal | ![]() | 1 | 0 | 0 | 0 | 0.944 | 1.82 | 33 | 0 | 0 | 1 | 18 | 0 | 0 | 0 | 0.000 | 0 | 0 | 12 | 0 | 0 | 0 |
Team Total or Average | 13 | 7 | 5 | 0 | 0.902 | 3.25 | 720 | 0 | 0 | 39 | 397 | 0 | 1 | 0 | 0.000 | 0 | 12 | 12 | 1 | 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 | 3.00 | 3.50 | -0.50 | 2 | 0.500 | 3.0 | 5.0 | 8.0 | 0 | 0 | 1 | 1 | 4 | 0 | 37.0 | 21 | 20 | 33 | 0 | 35.0 | 9.5 | 9.00 | 16.0 | 3.50 | 0.50 | 14.29% | 3.50 | 0.00 | 100.00% | 0 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 23.00 | 15.50 | 23.50 | 7.00 | 12.50 | 6.00 | 41.7% | 8.1% | 90.0% | 98.1 | Unlucky |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 4.00 | 0.00 | 2 | 0.500 | 4.0 | 6.5 | 10.5 | 0 | 0 | 2 | 4 | 2 | 0 | 25.5 | 20 | 11 | 20 | 0 | 34.5 | 8.0 | 10.50 | 28.0 | 2.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 22.00 | 14.50 | 24.00 | 7.00 | 13.50 | 6.50 | 57.1% | 15.7% | 88.4% | 104.1 | FUN |
3 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2.50 | 1.50 | 1.00 | 4 | 1.000 | 2.5 | 4.5 | 7.0 | 0 | 0 | 1 | 2 | 2 | 0 | 34.0 | 20 | 23 | 25 | 0 | 20.0 | 5.0 | 7.00 | 16.5 | 4.50 | 0.50 | 11.11% | 3.50 | 1.00 | 71.43% | 0 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 28.00 | 19.50 | 19.00 | 6.50 | 12.50 | 6.50 | 80.0% | 7.4% | 92.5% | 99.9 | DULL |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.50 | 0.00 | 2 | 0.500 | 3.5 | 5.5 | 9.0 | 0 | 0 | 5 | 1 | 1 | 0 | 30.5 | 18 | 15 | 28 | 0 | 29.5 | 7.5 | 12.50 | 21.0 | 4.50 | 0.50 | 11.11% | 5.50 | 1.50 | 72.73% | 0 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 21.50 | 14.00 | 25.50 | 7.50 | 12.50 | 5.50 | 60.0% | 11.5% | 88.1% | 99.6 | FUN |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.50 | 3.50 | -2.00 | 2 | 0.500 | 1.5 | 2.5 | 4.0 | 0 | 0 | 3 | 0 | 0 | 0 | 25.0 | 18 | 21 | 11 | 0 | 44.5 | 12.5 | 7.00 | 20.0 | 3.00 | 0.00 | 0.00% | 3.50 | 0.50 | 85.71% | 0 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 21.50 | 14.50 | 25.50 | 7.00 | 12.00 | 6.00 | 33.3% | 6.0% | 92.1% | 98.1 | DULL |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 3.50 | -1.00 | 2 | 0.500 | 2.5 | 5.0 | 7.5 | 0 | 0 | 1 | 1 | 3 | 0 | 21.0 | 17 | 8 | 17 | 0 | 35.0 | 6.0 | 4.00 | 20.0 | 3.50 | 0.00 | 0.00% | 2.00 | 0.50 | 75.00% | 1 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 24.00 | 16.50 | 23.50 | 7.00 | 12.00 | 5.50 | 45.5% | 11.9% | 90.0% | 101.9 | FUN |
_Vs Division | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 2.83 | 3.25 | -0.42 | 14 | 0.583 | 2.8 | 4.8 | 7.7 | 0 | 0 | 13 | 9 | 12 | 0 | 28.8 | 114 | 98 | 134 | 0 | 33.1 | 8.1 | 8.33 | 20.3 | 3.50 | 0.25 | 7.14% | 3.67 | 0.75 | 79.55% | 1 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 23.50 | 16.08 | 23.67 | 7.25 | 12.67 | 6.25 | 50.8% | 9.8% | 90.2% | 100.0 | FUN | |
_Vs Conference | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 2.83 | 3.25 | -0.42 | 14 | 0.583 | 2.8 | 4.8 | 7.7 | 0 | 0 | 13 | 9 | 12 | 0 | 28.8 | 114 | 98 | 134 | 0 | 33.1 | 8.1 | 8.33 | 20.3 | 3.50 | 0.25 | 7.14% | 3.67 | 0.75 | 79.55% | 1 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 23.50 | 16.08 | 23.67 | 7.25 | 12.67 | 6.25 | 50.8% | 9.8% | 90.2% | 100.0 | FUN | |
_Since Last GM Reset | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 2.83 | 3.25 | -0.42 | 14 | 0.583 | 2.8 | 4.8 | 7.7 | 0 | 0 | 13 | 9 | 12 | 0 | 28.8 | 114 | 98 | 134 | 0 | 33.1 | 8.1 | 8.33 | 20.3 | 3.50 | 0.25 | 7.14% | 3.67 | 0.75 | 79.55% | 1 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 23.50 | 16.08 | 23.67 | 7.25 | 12.67 | 6.25 | 50.8% | 9.8% | 90.2% | 100.0 | FUN | |
Total | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 2.83 | 3.25 | -0.42 | 14 | 0.583 | 2.8 | 4.8 | 7.7 | 0 | 0 | 13 | 9 | 12 | 0 | 28.8 | 114 | 98 | 134 | 0 | 33.1 | 8.1 | 8.33 | 20.3 | 3.50 | 0.25 | 7.14% | 3.67 | 0.75 | 79.55% | 1 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 23.50 | 16.08 | 23.67 | 7.25 | 12.67 | 6.25 | 50.8% | 9.8% | 90.2% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 419 |
Neutral Zone Start | 191 |
Defensive Zone Start | 440 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 509 |
Faceoffs Lost | 541 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 17.7 | 20.31 |
3rd Period | 28.8 | 30.68 |
Overtime | 28.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 30 |
---|---|
PP Goal | 3 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 2 |
Lost | 1 | 4 |
Overtime Lost | 0 | 0 |
PP Attempt | 42 |
---|---|
PP Goal | 3 |
PK Attempt | 44 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 28.8 |
Shots Against | 33.1 |
Goals For | 2.8 |
Goals Against | 3.3 |
Hits | 20.3 |
Shots Blocked | 8.1 |
Pim | 8.3 |
![]() | |
Total Salaries | 69,144,167$ |
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) | 53 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 18 |
LTIR Players | 0 |
Average Joes Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Kerfoot | C/LW | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Artturi Lehkonen | LW | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Cam Atkinson | RW | 35 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Carl Grundstrom | LW/RW | 26 | 1,300,000$ | 1,300,000$ | 1,300,000$ | RFA | ||||||
Dawson Mercer | C | 22 | 894,167$ | 894,167$ | 894,167$ | RFA | ||||||
Dmitri Voronkov | C/LW | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Dylan Samberg | D | 25 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | RFA | |||||
Erik Haula | C/LW | 33 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||
Jakub Zboril | D | 27 | 1,137,500$ | 1,137,500$ | 1,137,500$ | UFA | ||||||
Joel Farabee | LW | 24 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Juuse Saros | G | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Kasperi Kapanen | LW/RW | 27 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||||
Lukas Dostal | G | 24 | 812,500$ | 812,500$ | 812,500$ | 812,500$ | RFA | |||||
Mikael Granlund | C/RW | 32 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Mike Matheson | D | 30 | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | UFA | |||
Miro Heiskanen | D | 24 | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | UFA | |
Niko Mikkola | D | 28 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||
Reilly Smith | LW/RW | 33 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Ryan O'Reilly | C | 33 | 3,800,000$ | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | |||||
Ryan Pulock | D | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||
Simon Benoit | D | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | ||||||
Troy Terry | C/RW | 26 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexei Kolosov | G | 22 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Ben Roger | D | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Brayden Tracey | C/LW | 23 | 863,333$ | 86,333$ | 86,333$ | RFA | ||||||
Bryce McConnell-Barker | C | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Cameron Whitehead | G | 21 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Connor McMichael | C | 23 | 863,333$ | 86,333$ | 86,333$ | RFA | ||||||
Corson Ceulemans | D | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Danny Zhilkin | C | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Eemil Viro | D | 22 | 828,333$ | 82,833$ | 82,833$ | 82,833$ | RFA | |||||
Eetu Liukas | LW | 21 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Filip Cederqvist | C/LW | 23 | 850,000$ | 85,000$ | 85,000$ | RFA | ||||||
Hugo Ollas | G | 22 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
Jagger Firkus | RW | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Jan Mysak | C/LW | 22 | 828,333$ | 82,833$ | 82,833$ | 82,833$ | RFA | |||||
Joey Muldowney | RW | 20 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Jordan Gustafson | C | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Justus Annunen | G | 24 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Kevin Shattenkirk | D | 35 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Kim Nousiainen | D | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||
Lucas Johansen | D | 26 | 762,500$ | 76,250$ | 76,250$ | RFA | ||||||
Mackie Samoskevich | C/RW | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Michal Teply | LW/RW | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||
Nathan Legare | RW | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||
Rutger McGroarty | C/LW | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Ryan Mast | D | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Ryan Shea | D | 27 | 775,000$ | 77,500$ | 77,500$ | UFA | ||||||
Shane Bowers | C/RW | 24 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | |||
Simon Lundmark | D | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
Topias Vilen | D | 21 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Tristan Luneau | D | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Zachary L'Heureux | C/LW | 21 | 875,000$ | 87,500$ | 87,500$ | RFA |
Forward Lines | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.50 | -0.50 | 2 | 0.500 | 3.0 | 5.0 | 8.0 | 0 | 0 | 1 | 1 | 4 | 0 | 37.0 | 21 | 20 | 33 | 0 | 35.0 | 9.5 | 9.00 | 16.0 | 3.50 | 0.50 | 14.29% | 3.50 | 0.00 | 100.00% | 0 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 23.00 | 15.50 | 23.50 | 7.00 | 12.50 | 6.00 | 41.7% | 8.1% | 90.0% | 98.1 | Unlucky |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 4.00 | 0.00 | 2 | 0.500 | 4.0 | 6.5 | 10.5 | 0 | 0 | 2 | 4 | 2 | 0 | 25.5 | 20 | 11 | 20 | 0 | 34.5 | 8.0 | 10.50 | 28.0 | 2.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 0 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 22.00 | 14.50 | 24.00 | 7.00 | 13.50 | 6.50 | 57.1% | 15.7% | 88.4% | 104.1 | FUN |
3 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2.50 | 1.50 | 1.00 | 4 | 1.000 | 2.5 | 4.5 | 7.0 | 0 | 0 | 1 | 2 | 2 | 0 | 34.0 | 20 | 23 | 25 | 0 | 20.0 | 5.0 | 7.00 | 16.5 | 4.50 | 0.50 | 11.11% | 3.50 | 1.00 | 71.43% | 0 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 28.00 | 19.50 | 19.00 | 6.50 | 12.50 | 6.50 | 80.0% | 7.4% | 92.5% | 99.9 | DULL |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 3.50 | 0.00 | 2 | 0.500 | 3.5 | 5.5 | 9.0 | 0 | 0 | 5 | 1 | 1 | 0 | 30.5 | 18 | 15 | 28 | 0 | 29.5 | 7.5 | 12.50 | 21.0 | 4.50 | 0.50 | 11.11% | 5.50 | 1.50 | 72.73% | 0 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 21.50 | 14.00 | 25.50 | 7.50 | 12.50 | 5.50 | 60.0% | 11.5% | 88.1% | 99.6 | FUN |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.50 | 3.50 | -2.00 | 2 | 0.500 | 1.5 | 2.5 | 4.0 | 0 | 0 | 3 | 0 | 0 | 0 | 25.0 | 18 | 21 | 11 | 0 | 44.5 | 12.5 | 7.00 | 20.0 | 3.00 | 0.00 | 0.00% | 3.50 | 0.50 | 85.71% | 0 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 21.50 | 14.50 | 25.50 | 7.00 | 12.00 | 6.00 | 33.3% | 6.0% | 92.1% | 98.1 | DULL |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 3.50 | -1.00 | 2 | 0.500 | 2.5 | 5.0 | 7.5 | 0 | 0 | 1 | 1 | 3 | 0 | 21.0 | 17 | 8 | 17 | 0 | 35.0 | 6.0 | 4.00 | 20.0 | 3.50 | 0.00 | 0.00% | 2.00 | 0.50 | 75.00% | 1 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 24.00 | 16.50 | 23.50 | 7.00 | 12.00 | 5.50 | 45.5% | 11.9% | 90.0% | 101.9 | FUN |
_Vs Division | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 2.83 | 3.25 | -0.42 | 14 | 0.583 | 2.8 | 4.8 | 7.7 | 0 | 0 | 13 | 9 | 12 | 0 | 28.8 | 114 | 98 | 134 | 0 | 33.1 | 8.1 | 8.33 | 20.3 | 3.50 | 0.25 | 7.14% | 3.67 | 0.75 | 79.55% | 1 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 23.50 | 16.08 | 23.67 | 7.25 | 12.67 | 6.25 | 50.8% | 9.8% | 90.2% | 100.0 | FUN | |
_Vs Conference | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 2.83 | 3.25 | -0.42 | 14 | 0.583 | 2.8 | 4.8 | 7.7 | 0 | 0 | 13 | 9 | 12 | 0 | 28.8 | 114 | 98 | 134 | 0 | 33.1 | 8.1 | 8.33 | 20.3 | 3.50 | 0.25 | 7.14% | 3.67 | 0.75 | 79.55% | 1 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 23.50 | 16.08 | 23.67 | 7.25 | 12.67 | 6.25 | 50.8% | 9.8% | 90.2% | 100.0 | FUN | |
_Since Last GM Reset | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 2.83 | 3.25 | -0.42 | 14 | 0.583 | 2.8 | 4.8 | 7.7 | 0 | 0 | 13 | 9 | 12 | 0 | 28.8 | 114 | 98 | 134 | 0 | 33.1 | 8.1 | 8.33 | 20.3 | 3.50 | 0.25 | 7.14% | 3.67 | 0.75 | 79.55% | 1 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 23.50 | 16.08 | 23.67 | 7.25 | 12.67 | 6.25 | 50.8% | 9.8% | 90.2% | 100.0 | FUN | |
Total | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 2.83 | 3.25 | -0.42 | 14 | 0.583 | 2.8 | 4.8 | 7.7 | 0 | 0 | 13 | 9 | 12 | 0 | 28.8 | 114 | 98 | 134 | 0 | 33.1 | 8.1 | 8.33 | 20.3 | 3.50 | 0.25 | 7.14% | 3.67 | 0.75 | 79.55% | 1 | 214 | 419 | 51.07% | 201 | 440 | 45.68% | 94 | 191 | 49.21% | 23.50 | 16.08 | 23.67 | 7.25 | 12.67 | 6.25 | 50.8% | 9.8% | 90.2% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 419 |
Neutral Zone Start | 191 |
Defensive Zone Start | 440 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 509 |
Faceoffs Lost | 541 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 17.7 | 20.31 |
3rd Period | 28.8 | 30.68 |
Overtime | 28.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 30 |
---|---|
PP Goal | 3 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 2 |
Lost | 1 | 4 |
Overtime Lost | 0 | 0 |
PP Attempt | 42 |
---|---|
PP Goal | 3 |
PK Attempt | 44 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 28.8 |
Shots Against | 33.1 |
Goals For | 2.8 |
Goals Against | 3.3 |
Hits | 20.3 |
Shots Blocked | 8.1 |
Pim | 8.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | ![]() | @ | ![]() | WOL4,AVG5 | RECAP | |||||||||
5 | ![]() | @ | ![]() | AVG1,WOL3 | RECAP | |||||||||
7 | ![]() | @ | ![]() | AVG3,STO2 | RECAP | |||||||||
9 | ![]() | @ | ![]() | STO1,AVG2 | RECAP | |||||||||
10 | ![]() | @ | ![]() | AVG1,MET4 | RECAP | |||||||||
15 | ![]() | @ | ![]() | MAV3,AVG5 | RECAP | |||||||||
17 | ![]() | @ | ![]() | AVG3,MAV5 | RECAP | |||||||||
19 | ![]() | @ | ![]() | TIT5,AVG1 | RECAP | |||||||||
21 | ![]() | @ | ![]() | AVG4,TIT2 | RECAP | |||||||||
24 | ![]() | @ | ![]() | BUT1,AVG2 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
28 | ![]() | @ | ![]() | MET3,AVG6 | RECAP | |||||||||
29 | ![]() | @ | ![]() | AVG1,BUT6 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
69,144,167$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | St. Jerome | ||
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 |
0 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
69,144,167$ | 69,144,167$ | 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$ | 46,484,383$ | 46,484,383$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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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 |
---|---|---|---|---|---|
Aron Kiviharju | ![]() | 2024 | 58 | 0 | |
Beckett Hendrickson | ![]() | 2023 | 90 | - | Link |
Cayden Lindstrom | ![]() | 2024 | 5 | 0 | |
David Reinbacher | ![]() | 2023 | 8 | - | Link |
Emil Jarventie | ![]() | 2023 | 118 | - | Link |
Kalle Kangas | ![]() | 2023 | 174 | - | Link |
Kasper Halttunen | ![]() | 2023 | 34 | - | Link |
Koehn Ziemmer | ![]() | 2023 | 78 | - | Link |
Konsta Helenius | ![]() | 2024 | 7 | 0 | |
Luke Coughlin | ![]() | 2023 | 161 | - | Link |
Luke Osburn | ![]() | 2024 | 142 | 0 | |
Ondrej Kos | ![]() | 2024 | 114 | 0 | |
Raoul Boilard | ![]() | 2024 | 86 | 0 | |
Ryerson Leenders | ![]() | 2024 | 105 | 0 | |
Sam Harris | ![]() | 2023 | 146 | - | Link |
Sebastian Soini | ![]() | 2024 | 170 | 0 | |
Stian Solberg | ![]() | 2024 | 30 | 0 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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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 |
---|---|---|---|---|---|
Aron Kiviharju | ![]() | 2024 | 58 | 0 | |
Beckett Hendrickson | ![]() | 2023 | 90 | - | Link |
Cayden Lindstrom | ![]() | 2024 | 5 | 0 | |
David Reinbacher | ![]() | 2023 | 8 | - | Link |
Emil Jarventie | ![]() | 2023 | 118 | - | Link |
Kalle Kangas | ![]() | 2023 | 174 | - | Link |
Kasper Halttunen | ![]() | 2023 | 34 | - | Link |
Koehn Ziemmer | ![]() | 2023 | 78 | - | Link |
Konsta Helenius | ![]() | 2024 | 7 | 0 | |
Luke Coughlin | ![]() | 2023 | 161 | - | Link |
Luke Osburn | ![]() | 2024 | 142 | 0 | |
Ondrej Kos | ![]() | 2024 | 114 | 0 | |
Raoul Boilard | ![]() | 2024 | 86 | 0 | |
Ryerson Leenders | ![]() | 2024 | 105 | 0 | |
Sam Harris | ![]() | 2023 | 146 | - | Link |
Sebastian Soini | ![]() | 2024 | 170 | 0 | |
Stian Solberg | ![]() | 2024 | 30 | 0 |
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