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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Sundsvall Dragons 6-4-1, 13pts · 7th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 9 | C/LW/RW | 100.00 | 92 | 60 | 79 | 86 | 79 | 81 | 98 | 95 | 97 | 92 | 91 | 74 | 71 | 79 | 83 | 91 | 75 | 87 | 31 | 5,250,000$/3yrs | |||
![]() | 24 | LW | 100.00 | 69 | 42 | 85 | 88 | 68 | 87 | 88 | 99 | 25 | 88 | 96 | 62 | 61 | 65 | 66 | 93 | 75 | 86 | 27 | 9,000,000$/3yrs | |||
![]() | 70 | LW/RW | 100.00 | 63 | 42 | 81 | 82 | 73 | 79 | 95 | 98 | 41 | 84 | 87 | 67 | 80 | 63 | 64 | 86 | 75 | 82 | 23 | 7,000,000$/7yrs | |||
![]() | 10 | C/LW/RW | 100.00 | 79 | 56 | 74 | 85 | 64 | 80 | 95 | 93 | 40 | 81 | 85 | 78 | 53 | 87 | 94 | 83 | 75 | 82 | 36 | 6,125,000$/2yrs | |||
![]() | 22 | LW/RW | 100.00 | 71 | 42 | 94 | 92 | 62 | 81 | 99 | 92 | 36 | 89 | 84 | 69 | 50 | 71 | 72 | 86 | 75 | 82 | 25 | 7,875,000$/8yrs | |||
![]() | 28 | C | 100.00 | 77 | 54 | 89 | 85 | 71 | 81 | 95 | 86 | 98 | 79 | 72 | 82 | 39 | 80 | 81 | 75 | 75 | 77 | 29 | 6,100,000$/2yrs | |||
![]() | 63 | LW/RW | 100.00 | 61 | 40 | 96 | 79 | 61 | 73 | 90 | 79 | 36 | 82 | 72 | 65 | 25 | 61 | 61 | 76 | 75 | 74 | 23 | 3,425,000$/3yrs | |||
![]() | 29 | LW | 100.00 | 77 | 54 | 81 | 82 | 75 | 73 | 82 | 74 | 34 | 73 | 77 | 64 | 25 | 67 | 68 | 75 | 75 | 73 | 29 | 2,800,000$/2yrs | |||
![]() | 53 | C | 100.00 | 79 | 54 | 86 | 75 | 69 | 68 | 83 | 65 | 90 | 76 | 59 | 82 | 25 | 67 | 69 | 66 | 75 | 69 | 29 | 975,000$/2yrs | |||
![]() | 80 | RW | 100.00 | 65 | 42 | 94 | 80 | 70 | 59 | 75 | 70 | 34 | 62 | 72 | 58 | 25 | 57 | 57 | 68 | 75 | 65 | 22 | 894,167$/2yrs | |||
![]() | 17 | C/LW/RW | 100.00 | 79 | 44 | 87 | 78 | 68 | 62 | 83 | 65 | 55 | 54 | 59 | 87 | 25 | 67 | 69 | 57 | 75 | 64 | 29 | 475,000$/1yrs | |||
![]() | 20 | C/LW | 100.00 | 80 | 44 | 94 | 85 | 67 | 58 | 91 | 65 | 48 | 63 | 64 | 69 | 25 | 64 | 65 | 64 | 75 | 64 | 25 | 450,000$/3yrs | |||
![]() | 28 | D | 100.00 | 73 | 43 | 87 | 82 | 73 | 86 | 99 | 90 | 25 | 81 | 62 | 73 | 25 | 65 | 67 | 86 | 75 | 81 | 24 | 3,900,000$/2yrs | |||
![]() | 55 | D | 100.00 | 71 | 44 | 90 | 88 | 80 | 88 | 98 | 77 | 25 | 69 | 60 | 89 | 63 | 74 | 75 | 73 | 75 | 80 | 27 | 4,950,000$/1yrs | |||
![]() | 27 | D | 100.00 | 79 | 56 | 81 | 81 | 78 | 84 | 88 | 77 | 25 | 71 | 48 | 85 | 25 | 81 | 84 | 74 | 75 | 79 | 32 | 6,500,000$/1yrs | |||
![]() | 52 | D | 100.00 | 79 | 54 | 84 | 81 | 69 | 85 | 98 | 67 | 25 | 67 | 54 | 94 | 25 | 69 | 71 | 67 | 75 | 78 | 28 | 2,666,667$/1yrs | |||
![]() | 4 | D | 100.00 | 61 | 41 | 88 | 80 | 70 | 75 | 80 | 84 | 25 | 66 | 47 | 68 | 38 | 78 | 81 | 76 | 75 | 73 | 32 | 5,100,000$/4yrs | |||
![]() | 49 | D | 100.00 | 65 | 42 | 90 | 78 | 70 | 79 | 72 | 69 | 25 | 52 | 48 | 84 | 25 | 49 | 49 | 61 | 75 | 71 | 23 | 912,500$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 71 | RW | 100.00 | 76 | 44 | 92 | 76 | 71 | 63 | 94 | 63 | 38 | 64 | 58 | 72 | 75 | 76 | 80 | 61 | 75 | 63 | 32 | 1,050,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 73 | 47 | 87 | 82 | 70 | 76 | 90 | 79 | 43 | 73 | 68 | 75 | 41 | 69 | 71 | 75 | 75 | 75 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 1 | 100.00 | 78 | 77 | 76 | 72 | 78 | 78 | 69 | 80 | 77 | 78 | 95 | 68 | 70 | 83 | 75 | 81 | 32 | 4,300,000$/1yrs |
![]() | 31 | 100.00 | 62 | 57 | 56 | 84 | 65 | 58 | 69 | 63 | 65 | 62 | 75 | 51 | 51 | 74 | 75 | 70 | 28 | 450,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 67 | 66 | 78 | 72 | 68 | 69 | 72 | 71 | 70 | 85 | 60 | 61 | 79 | 75 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Fredrik Pahlsson |
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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 | J.T. Miller | ![]() | 9 | C/LW/RW | 11 | 7 | 11 | 18 | 4 | 6 | 0 | 41 | 48 | 9 | 26 | 14.58% | 4 | 22.32 | 1 | 5 | 6 | 0 | 1 | 1 | 39 | 2 | 1 | 54.36% | 344 | 0 | 0 | 0 | 0 | 1.47 | 0 | 0 |
2 | Jesper Bratt | ![]() | 22 | LW/RW | 11 | 6 | 6 | 12 | 2 | 0 | 0 | 4 | 38 | 9 | 19 | 15.79% | 3 | 19.25 | 0 | 1 | 1 | 0 | 0 | 0 | 16 | 1 | 0 | 26.47% | 34 | 0 | 0 | 0 | 0 | 1.13 | 0 | 0 |
3 | Kirill Kaprizov | ![]() | 24 | LW | 11 | 6 | 5 | 11 | 4 | 0 | 0 | 2 | 38 | 5 | 20 | 15.79% | 1 | 19.86 | 3 | 3 | 6 | 1 | 0 | 1 | 11 | 1 | 0 | 27.27% | 22 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 |
4 | Gustav Forsling | ![]() | 52 | D | 11 | 1 | 8 | 9 | -4 | 4 | 0 | 23 | 12 | 5 | 13 | 8.33% | 19 | 22.26 | 0 | 2 | 2 | 0 | 0 | 0 | 32 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 |
5 | Elias Lindholm | ![]() | 28 | C | 11 | 5 | 4 | 9 | 1 | 4 | 0 | 9 | 30 | 6 | 28 | 16.67% | 4 | 18.30 | 0 | 1 | 1 | 0 | 0 | 0 | 14 | 0 | 0 | 52.38% | 231 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 |
6 | Matt Boldy | ![]() | 70 | LW/RW | 11 | 4 | 3 | 7 | 2 | 0 | 0 | 6 | 32 | 7 | 24 | 12.50% | 1 | 17.37 | 2 | 1 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 35.29% | 17 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 |
7 | Evan Bouchard | ![]() | 28 | D | 11 | 1 | 5 | 6 | 5 | 8 | 0 | 30 | 11 | 5 | 15 | 9.09% | 11 | 23.39 | 1 | 3 | 4 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
8 | Brad Marchand | ![]() | 10 | C/LW/RW | 11 | 1 | 5 | 6 | 2 | 15 | 5 | 20 | 38 | 10 | 30 | 2.63% | 3 | 20.06 | 1 | 1 | 2 | 0 | 0 | 0 | 26 | 0 | 0 | 50.00% | 28 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 |
9 | Noah Hanifin | ![]() | 55 | D | 11 | 3 | 3 | 6 | 5 | 12 | 0 | 16 | 26 | 8 | 12 | 11.54% | 22 | 25.04 | 3 | 1 | 4 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 |
10 | Matias Maccelli | ![]() | 63 | LW/RW | 11 | 3 | 2 | 5 | -3 | 2 | 0 | 1 | 24 | 7 | 9 | 12.50% | 1 | 12.20 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 0 | 1 | 37.50% | 8 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 |
11 | Justin Faulk | ![]() | 27 | D | 11 | 0 | 4 | 4 | -5 | 8 | 0 | 26 | 12 | 4 | 13 | 0.00% | 22 | 21.31 | 0 | 1 | 1 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 |
12 | Tyson Barrie | ![]() | 4 | D | 11 | 0 | 4 | 4 | 2 | 4 | 0 | 8 | 1 | 0 | 1 | 0.00% | 7 | 13.90 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 |
13 | Henry Thrun | ![]() | 49 | D | 11 | 1 | 1 | 2 | 2 | 8 | 0 | 14 | 7 | 0 | 4 | 14.29% | 13 | 14.33 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 |
14 | Alexander Holtz | ![]() | 80 | RW | 11 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 3 | 0 | 5 | 0.00% | 0 | 7.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 6 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
15 | Teodors Blugers | ![]() | 53 | C | 11 | 0 | 2 | 2 | -3 | 7 | 5 | 12 | 10 | 3 | 4 | 0.00% | 1 | 10.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.28% | 123 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 |
16 | Tyler Bertuzzi | ![]() | 29 | LW | 11 | 1 | 1 | 2 | -3 | 4 | 0 | 7 | 17 | 3 | 11 | 5.88% | 0 | 11.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 |
17 | Tyler Motte | ![]() | 17 | C/LW/RW | 11 | 1 | 1 | 2 | 0 | 0 | 0 | 12 | 7 | 6 | 8 | 14.29% | 1 | 8.38 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 83.33% | 6 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
18 | Jesper Boqvist | ![]() | 20 | C/LW | 11 | 1 | 1 | 2 | 0 | 0 | 0 | 9 | 8 | 2 | 6 | 12.50% | 0 | 7.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.14% | 83 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
Team Total or Average | 198 | 41 | 68 | 109 | 11 | 82 | 10 | 241 | 362 | 89 | 248 | 11.33% | 113 | 16.38 | 11 | 20 | 31 | 380 | 1 | 1 | 2 | 259 | 6 | 2 | 47.96% | 909 | 0 | 0 | 0 | 0 | 0.67 | 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 | Petr Mrazek | ![]() | 11 | 6 | 4 | 1 | 0.885 | 3.58 | 637 | 4 | 0 | 38 | 331 | 0 | 0 | 0 | 0.000 | 0 | 11 | 0 | 1 | 1 | 0 |
2 | Jonas Johansson | ![]() | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 24 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Team Total or Average | 12 | 6 | 4 | 1 | 0.890 | 3.44 | 662 | 4 | 0 | 38 | 345 | 0 | 0 | 0 | 0.000 | 0 | 11 | 11 | 1 | 1 | 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 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.50 | -1.50 | 0 | 0.000 | 2.0 | 3.5 | 5.5 | 0 | 0 | 2 | 0 | 2 | 0 | 33.0 | 21 | 18 | 27 | 0 | 32.0 | 14.0 | 7.00 | 25.0 | 1.50 | 0.00 | 0.00% | 3.50 | 0.50 | 85.71% | 0 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 22.00 | 15.00 | 25.00 | 7.00 | 12.50 | 6.00 | 40.0% | 6.1% | 89.1% | 95.1 | Unlucky |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.50 | 4.00 | 1.50 | 4 | 1.000 | 5.5 | 9.5 | 15.0 | 0 | 0 | 3 | 5 | 3 | 0 | 34.0 | 22 | 25 | 21 | 0 | 33.5 | 8.5 | 9.50 | 22.0 | 5.00 | 1.50 | 30.00% | 3.50 | 0.50 | 85.71% | 0 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 25.00 | 17.50 | 22.00 | 7.00 | 12.50 | 6.50 | 53.3% | 16.2% | 88.1% | 104.2 | FUN |
3 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4.00 | 5.50 | -1.50 | 1 | 0.250 | 4.0 | 6.5 | 10.5 | 0 | 0 | 3 | 2 | 3 | 0 | 37.5 | 32 | 20 | 21 | 2 | 38.5 | 12.0 | 11.00 | 22.5 | 3.50 | 0.50 | 14.29% | 5.50 | 3.50 | 36.36% | 0 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 26.50 | 19.50 | 22.50 | 6.50 | 11.50 | 5.50 | 63.6% | 10.7% | 85.7% | 96.4 | FUN |
4 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.50 | 1.50 | 4 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 5 | 2 | 3 | 0 | 39.0 | 37 | 19 | 22 | 0 | 26.5 | 9.0 | 5.00 | 19.0 | 6.50 | 2.00 | 30.77% | 2.50 | 0.00 | 100.00% | 1 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 24.00 | 17.00 | 23.00 | 7.50 | 12.50 | 6.00 | 46.2% | 12.8% | 86.8% | 99.6 | FUN |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.50 | 2.00 | -0.50 | 2 | 0.500 | 1.5 | 2.5 | 4.0 | 0 | 0 | 0 | 2 | 1 | 0 | 23.0 | 16 | 21 | 9 | 0 | 23.5 | 7.5 | 6.00 | 20.0 | 4.50 | 1.00 | 22.22% | 3.00 | 0.50 | 83.33% | 0 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 24.50 | 17.50 | 23.00 | 7.00 | 11.50 | 5.50 | 25.0% | 6.5% | 91.5% | 98.0 | DULL |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.00 | 4.00 | 2 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 3 | 0 | 2 | 0 | 29.0 | 13 | 11 | 5 | 0 | 37.0 | 11.0 | 9.00 | 24.0 | 3.00 | 1.00 | 33.33% | 2.00 | 0.00 | 100.00% | 0 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 22.00 | 15.00 | 24.00 | 7.00 | 12.00 | 6.00 | 80.0% | 17.2% | 97.3% | 114.5 | LUCKY |
_Vs Division | 11 | 6 | 4 | 0 | 0 | 1 | 0 | 0 | 3.73 | 3.45 | 0.27 | 13 | 0.591 | 3.7 | 6.2 | 9.9 | 0 | 0 | 16 | 11 | 14 | 0 | 32.9 | 141 | 114 | 105 | 2 | 31.4 | 10.3 | 7.82 | 21.9 | 4.09 | 1.00 | 24.44% | 3.45 | 0.91 | 73.68% | 1 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 24.45 | 17.36 | 23.36 | 7.18 | 12.27 | 6.09 | 51.7% | 11.3% | 89.0% | 100.3 | FUN | |
_Vs Conference | 11 | 6 | 4 | 0 | 0 | 1 | 0 | 0 | 3.73 | 3.45 | 0.27 | 13 | 0.591 | 3.7 | 6.2 | 9.9 | 0 | 0 | 16 | 11 | 14 | 0 | 32.9 | 141 | 114 | 105 | 2 | 31.4 | 10.3 | 7.82 | 21.9 | 4.09 | 1.00 | 24.44% | 3.45 | 0.91 | 73.68% | 1 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 24.45 | 17.36 | 23.36 | 7.18 | 12.27 | 6.09 | 51.7% | 11.3% | 89.0% | 100.3 | FUN | |
_Since Last GM Reset | 11 | 6 | 4 | 0 | 0 | 1 | 0 | 0 | 3.73 | 3.45 | 0.27 | 13 | 0.591 | 3.7 | 6.2 | 9.9 | 0 | 0 | 16 | 11 | 14 | 0 | 32.9 | 141 | 114 | 105 | 2 | 31.4 | 10.3 | 7.82 | 21.9 | 4.09 | 1.00 | 24.44% | 3.45 | 0.91 | 73.68% | 1 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 24.45 | 17.36 | 23.36 | 7.18 | 12.27 | 6.09 | 51.7% | 11.3% | 89.0% | 100.3 | FUN | |
Total | 11 | 6 | 4 | 0 | 0 | 1 | 0 | 0 | 3.73 | 3.45 | 0.27 | 13 | 0.591 | 3.7 | 6.2 | 9.9 | 0 | 0 | 16 | 11 | 14 | 0 | 32.9 | 141 | 114 | 105 | 2 | 31.4 | 10.3 | 7.82 | 21.9 | 4.09 | 1.00 | 24.44% | 3.45 | 0.91 | 73.68% | 1 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 24.45 | 17.36 | 23.36 | 7.18 | 12.27 | 6.09 | 51.7% | 11.3% | 89.0% | 100.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 369 |
Neutral Zone Start | 177 |
Defensive Zone Start | 360 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 436 |
Faceoffs Lost | 470 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.8 | 9.57 |
2nd Period | 23.2 | 20.31 |
3rd Period | 32.7 | 30.68 |
Overtime | 32.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.7 | 2.67 |
Overtime | 3.7 | 2.83 |
Even Strenght Goal | 29 |
---|---|
PP Goal | 11 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 3 | 1 |
Overtime Lost | 0 | 1 |
PP Attempt | 45 |
---|---|
PP Goal | 11 |
PK Attempt | 38 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 31.4 |
Goals For | 3.7 |
Goals Against | 3.5 |
Hits | 21.9 |
Shots Blocked | 10.3 |
Pim | 7.8 |
![]() | |
Total Salaries | 80,698,334$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 500,000$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 55 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 18 |
LTIR Players | 0 |
Dragons 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 Holtz | RW | 22 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Brad Marchand | C/LW/RW | 36 | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | UFA | |||||
Elias Lindholm | C | 29 | 6,100,000$ | 6,100,000$ | 6,100,000$ | 6,100,000$ | UFA | |||||
Evan Bouchard | D | 24 | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | RFA | |||||
Gustav Forsling | D | 28 | 2,666,667$ | 2,666,667$ | 2,666,667$ | UFA | ||||||
Henry Thrun | D | 23 | 912,500$ | 912,500$ | 912,500$ | RFA | ||||||
J.T. Miller | C/LW/RW | 31 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
Jesper Boqvist | C/LW | 25 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | ||||
Jesper Bratt | LW/RW | 25 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | |
Jesper Fast | RW | 32 | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | ||||||
Jonas Johansson | G | 28 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | ||||
Justin Faulk | D | 32 | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||||
Kirill Kaprizov | LW | 27 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||||
Matias Maccelli | LW/RW | 23 | 3,425,000$ | 3,425,000$ | 3,425,000$ | 3,425,000$ | 3,425,000$ | RFA | ||||
Matt Boldy | LW/RW | 23 | 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 |
Noah Hanifin | D | 27 | 4,950,000$ | 4,950,000$ | 4,950,000$ | UFA | ||||||
Petr Mrazek | G | 32 | 4,300,000$ | 4,300,000$ | 4,300,000$ | UFA | ||||||
Teodors Blugers | C | 29 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Tyler Bertuzzi | LW | 29 | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | UFA | |||||
Tyler Motte | C/LW/RW | 29 | 475,000$ | 475,000$ | 475,000$ | UFA | ||||||
Tyson Barrie | D | 32 | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Wilsby | D | 23 | 842,500$ | 84,250$ | 84,250$ | RFA | ||||||
Brett Berard | LW | 21 | 867,500$ | 86,750$ | 86,750$ | 86,750$ | 86,750$ | RFA | ||||
Calle Rosen | D | 30 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | ||||
Cameron Hughes | C/LW | 27 | 762,500$ | 76,250$ | 76,250$ | UFA | ||||||
Chaz Lucius | C | 21 | 875,000$ | 87,500$ | 87,500$ | RFA | ||||||
Clay Stevenson | G | 25 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Ethan Cardwell | RW | 21 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Filip Bystedt | C | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Gabriel Szturc | C | 20 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Gunnarwolfe Fontaine | C/LW | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Hugo Alnefelt | G | 23 | 850,833$ | 85,083$ | 85,083$ | RFA | ||||||
Jere Innala | LW | 26 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Jesse Ylonen | RW | 24 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Jiri Smejkal | C/LW | 27 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | UFA | |||||
Joel Nystrom | D | 22 | 600,000$ | 60,000$ | 60,000$ | 60,000$ | 60,000$ | 60,000$ | RFA | |||
Johnathan Kovacevic | D | 26 | 766,667$ | 76,667$ | 76,667$ | 76,667$ | UFA | |||||
Jonathan Dahlen | LW | 26 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Jonathan Pudas | D | 31 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Jorian Donovan | D | 20 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Kaidan Mbereko | G | 20 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Ludwig Persson | C/LW | 20 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Luke Glendening | C/RW | 35 | 750,000$ | 75,000$ | 75,000$ | UFA | ||||||
Magnus Chrona | G | 23 | 867,500$ | 86,750$ | 86,750$ | 86,750$ | RFA | |||||
Matyas Sapovaliv | C | 20 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Nick Abruzzese | C/LW | 25 | 775,000$ | 77,500$ | 77,500$ | 77,500$ | RFA | |||||
Nikita Novikov | D | 20 | 867,500$ | 86,750$ | 86,750$ | 86,750$ | 86,750$ | RFA | ||||
Noel Gunler | RW | 22 | 862,500$ | 86,250$ | 86,250$ | 86,250$ | RFA | |||||
Parker Wotherspoon | D | 26 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Samuel Johannesson | D | 23 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Sebastian Aho1 | D | 28 | 900,000$ | 90,000$ | 90,000$ | UFA | ||||||
Troy Stecher | D | 30 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | UFA | |||||
Ty Rattie | RW | 31 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Ville Ottavainen | D | 21 | 867,500$ | 86,750$ | 86,750$ | 86,750$ | 86,750$ | RFA | ||||
Yegor Sokolov | LW/RW | 24 | 775,000$ | 77,500$ | 77,500$ | 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 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.50 | -1.50 | 0 | 0.000 | 2.0 | 3.5 | 5.5 | 0 | 0 | 2 | 0 | 2 | 0 | 33.0 | 21 | 18 | 27 | 0 | 32.0 | 14.0 | 7.00 | 25.0 | 1.50 | 0.00 | 0.00% | 3.50 | 0.50 | 85.71% | 0 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 22.00 | 15.00 | 25.00 | 7.00 | 12.50 | 6.00 | 40.0% | 6.1% | 89.1% | 95.1 | Unlucky |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.50 | 4.00 | 1.50 | 4 | 1.000 | 5.5 | 9.5 | 15.0 | 0 | 0 | 3 | 5 | 3 | 0 | 34.0 | 22 | 25 | 21 | 0 | 33.5 | 8.5 | 9.50 | 22.0 | 5.00 | 1.50 | 30.00% | 3.50 | 0.50 | 85.71% | 0 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 25.00 | 17.50 | 22.00 | 7.00 | 12.50 | 6.50 | 53.3% | 16.2% | 88.1% | 104.2 | FUN |
3 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4.00 | 5.50 | -1.50 | 1 | 0.250 | 4.0 | 6.5 | 10.5 | 0 | 0 | 3 | 2 | 3 | 0 | 37.5 | 32 | 20 | 21 | 2 | 38.5 | 12.0 | 11.00 | 22.5 | 3.50 | 0.50 | 14.29% | 5.50 | 3.50 | 36.36% | 0 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 26.50 | 19.50 | 22.50 | 6.50 | 11.50 | 5.50 | 63.6% | 10.7% | 85.7% | 96.4 | FUN |
4 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.50 | 1.50 | 4 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 5 | 2 | 3 | 0 | 39.0 | 37 | 19 | 22 | 0 | 26.5 | 9.0 | 5.00 | 19.0 | 6.50 | 2.00 | 30.77% | 2.50 | 0.00 | 100.00% | 1 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 24.00 | 17.00 | 23.00 | 7.50 | 12.50 | 6.00 | 46.2% | 12.8% | 86.8% | 99.6 | FUN |
5 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.50 | 2.00 | -0.50 | 2 | 0.500 | 1.5 | 2.5 | 4.0 | 0 | 0 | 0 | 2 | 1 | 0 | 23.0 | 16 | 21 | 9 | 0 | 23.5 | 7.5 | 6.00 | 20.0 | 4.50 | 1.00 | 22.22% | 3.00 | 0.50 | 83.33% | 0 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 24.50 | 17.50 | 23.00 | 7.00 | 11.50 | 5.50 | 25.0% | 6.5% | 91.5% | 98.0 | DULL |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.00 | 4.00 | 2 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 3 | 0 | 2 | 0 | 29.0 | 13 | 11 | 5 | 0 | 37.0 | 11.0 | 9.00 | 24.0 | 3.00 | 1.00 | 33.33% | 2.00 | 0.00 | 100.00% | 0 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 22.00 | 15.00 | 24.00 | 7.00 | 12.00 | 6.00 | 80.0% | 17.2% | 97.3% | 114.5 | LUCKY |
_Vs Division | 11 | 6 | 4 | 0 | 0 | 1 | 0 | 0 | 3.73 | 3.45 | 0.27 | 13 | 0.591 | 3.7 | 6.2 | 9.9 | 0 | 0 | 16 | 11 | 14 | 0 | 32.9 | 141 | 114 | 105 | 2 | 31.4 | 10.3 | 7.82 | 21.9 | 4.09 | 1.00 | 24.44% | 3.45 | 0.91 | 73.68% | 1 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 24.45 | 17.36 | 23.36 | 7.18 | 12.27 | 6.09 | 51.7% | 11.3% | 89.0% | 100.3 | FUN | |
_Vs Conference | 11 | 6 | 4 | 0 | 0 | 1 | 0 | 0 | 3.73 | 3.45 | 0.27 | 13 | 0.591 | 3.7 | 6.2 | 9.9 | 0 | 0 | 16 | 11 | 14 | 0 | 32.9 | 141 | 114 | 105 | 2 | 31.4 | 10.3 | 7.82 | 21.9 | 4.09 | 1.00 | 24.44% | 3.45 | 0.91 | 73.68% | 1 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 24.45 | 17.36 | 23.36 | 7.18 | 12.27 | 6.09 | 51.7% | 11.3% | 89.0% | 100.3 | FUN | |
_Since Last GM Reset | 11 | 6 | 4 | 0 | 0 | 1 | 0 | 0 | 3.73 | 3.45 | 0.27 | 13 | 0.591 | 3.7 | 6.2 | 9.9 | 0 | 0 | 16 | 11 | 14 | 0 | 32.9 | 141 | 114 | 105 | 2 | 31.4 | 10.3 | 7.82 | 21.9 | 4.09 | 1.00 | 24.44% | 3.45 | 0.91 | 73.68% | 1 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 24.45 | 17.36 | 23.36 | 7.18 | 12.27 | 6.09 | 51.7% | 11.3% | 89.0% | 100.3 | FUN | |
Total | 11 | 6 | 4 | 0 | 0 | 1 | 0 | 0 | 3.73 | 3.45 | 0.27 | 13 | 0.591 | 3.7 | 6.2 | 9.9 | 0 | 0 | 16 | 11 | 14 | 0 | 32.9 | 141 | 114 | 105 | 2 | 31.4 | 10.3 | 7.82 | 21.9 | 4.09 | 1.00 | 24.44% | 3.45 | 0.91 | 73.68% | 1 | 199 | 369 | 53.93% | 158 | 360 | 43.89% | 79 | 177 | 44.63% | 24.45 | 17.36 | 23.36 | 7.18 | 12.27 | 6.09 | 51.7% | 11.3% | 89.0% | 100.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 369 |
Neutral Zone Start | 177 |
Defensive Zone Start | 360 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 436 |
Faceoffs Lost | 470 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.8 | 9.57 |
2nd Period | 23.2 | 20.31 |
3rd Period | 32.7 | 30.68 |
Overtime | 32.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.7 | 2.67 |
Overtime | 3.7 | 2.83 |
Even Strenght Goal | 29 |
---|---|
PP Goal | 11 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 3 |
Lost | 3 | 1 |
Overtime Lost | 0 | 1 |
PP Attempt | 45 |
---|---|
PP Goal | 11 |
PK Attempt | 38 |
PK Goal Against | 10 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 31.4 |
Goals For | 3.7 |
Goals Against | 3.5 |
Hits | 21.9 |
Shots Blocked | 10.3 |
Pim | 7.8 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | ![]() | @ | ![]() | DRA5,TRA3 | RECAP | |||||||||
4 | ![]() | @ | ![]() | MUS5,DRA3 | RECAP | |||||||||
7 | ![]() | @ | ![]() | TRA4,DRA5 | RECAP | |||||||||
10 | ![]() | @ | ![]() | DRA5,MUS6 (OT) | RECAP | |||||||||
14 | ![]() | @ | ![]() | BFT1,DRA5 | RECAP | |||||||||
17 | ![]() | @ | ![]() | DRA5,HEL4 | RECAP | |||||||||
19 | ![]() | @ | ![]() | HEL4,DRA6 | RECAP | |||||||||
22 | ![]() | @ | ![]() | REV3,DRA1 | RECAP | |||||||||
25 | ![]() | @ | ![]() | DRA3,REV4 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
27 | ![]() | @ | ![]() | BIS3,DRA1 | RECAP | |||||||||
29 | ![]() | @ | ![]() | DRA2,BIS1 | RECAP | |||||||||
30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,198,334$ | 500,000$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Sundsvall | ||
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 |
80,198,334$ | 80,198,334$ | 0$ | 500,000$ |
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$ | 192,518,291$ | 192,518,291$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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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 |
---|---|---|---|---|---|
Austin Burnevik | ![]() | 2024 | 157 | 0 | |
Brandon Svoboda | ![]() | 2023 | 84 | - | Link |
Harrison Brunicke | ![]() | 2024 | 45 | 0 | |
Herman Traff | ![]() | 2024 | 108 | 0 | |
Jamiro Reber | ![]() | 2024 | 185 | 0 | |
Kalem Parker | ![]() | 2023 | 196 | - | Link |
Kim Saarinen | ![]() | 2024 | 101 | 0 | |
Lukas Dragicevic | ![]() | 2023 | 56 | - | Link |
Milton Oscarson | ![]() | 2023 | 168 | - | Link |
Oiva Keskinen | ![]() | 2023 | 140 | - | Link |
Oskar Vuollet | ![]() | 2024 | 138 | 0 | |
Trevor Connelly | ![]() | 2024 | 17 | 0 | |
Zeb Forsfjall | ![]() | 2023 | 110 | - | Link |
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 |
---|---|---|---|---|---|
Austin Burnevik | ![]() | 2024 | 157 | 0 | |
Brandon Svoboda | ![]() | 2023 | 84 | - | Link |
Harrison Brunicke | ![]() | 2024 | 45 | 0 | |
Herman Traff | ![]() | 2024 | 108 | 0 | |
Jamiro Reber | ![]() | 2024 | 185 | 0 | |
Kalem Parker | ![]() | 2023 | 196 | - | Link |
Kim Saarinen | ![]() | 2024 | 101 | 0 | |
Lukas Dragicevic | ![]() | 2023 | 56 | - | Link |
Milton Oscarson | ![]() | 2023 | 168 | - | Link |
Oiva Keskinen | ![]() | 2023 | 140 | - | Link |
Oskar Vuollet | ![]() | 2024 | 138 | 0 | |
Trevor Connelly | ![]() | 2024 | 17 | 0 | |
Zeb Forsfjall | ![]() | 2023 | 110 | - | Link |
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