Sharks | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Roland Roberge | Morale : 40 | Team Overall : 76 |
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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 | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Zach Parise | X | 100.00 | 68 | 57 | 73 | 77 | 78 | 83 | 75 | 75 | 71 | 76 | 79 | 73 | 73 | 92 | 98 | 16 | 40 | 76 | 1 | 34 | 2 | 3,000,000$ | ||||
2 | Conor Sheary | X | 100.00 | 73 | 50 | 84 | 80 | 78 | 80 | 84 | 79 | 74 | 79 | 84 | 66 | 75 | 58 | 54 | 41 | 40 | 76 | 0 | 26 | 2 | 4,500,000$ | ||||
3 | Beau Bennett | X | 100.00 | 78 | 33 | 75 | 84 | 81 | 78 | 68 | 81 | 74 | 73 | 80 | 73 | 75 | 63 | 63 | 30 | 31 | 75 | 0 | 27 | 1 | 1,500,000$ | ||||
4 | Daniel Carcillo | X | 100.00 | 75 | 36 | 73 | 80 | 80 | 67 | 84 | 80 | 60 | 79 | 75 | 80 | 71 | 81 | 75 | 15 | 40 | 75 | 0 | 33 | 1 | 1,000,000$ | ||||
5 | Vince Hinostroza (R) | X | 100.00 | 73 | 30 | 80 | 78 | 79 | 66 | 86 | 78 | 66 | 78 | 78 | 73 | 61 | 58 | 51 | 42 | 37 | 73 | 0 | 24 | 3 | 1,500,000$ | ||||
6 | Mike Lundin | X | 100.00 | 71 | 33 | 75 | 81 | 85 | 76 | 80 | 83 | 56 | 77 | 77 | 90 | 62 | 92 | 76 | 13 | 40 | 79 | 1 | 34 | 1 | 3,500,000$ | ||||
7 | Dion Phaneuf | X | 100.00 | 78 | 57 | 75 | 79 | 82 | 81 | 70 | 71 | 59 | 82 | 76 | 78 | 71 | 94 | 75 | 17 | 40 | 78 | 1 | 33 | 1 | 4,500,000$ | ||||
8 | Markus Nutivaara (R) | X | 100.00 | 70 | 35 | 81 | 83 | 72 | 66 | 78 | 90 | 48 | 92 | 67 | 77 | 59 | 63 | 50 | 49 | 40 | 75 | 0 | 24 | 3 | 1,750,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Ronalds Kenins | X | 100.00 | 84 | 30 | 76 | 83 | 85 | 78 | 76 | 82 | 72 | 83 | 83 | 75 | 72 | 68 | 61 | 32 | 40 | 78 | 0 | 27 | 3 | 3,250,000$ | ||||
2 | Boone Jenner | X | 100.00 | 80 | 28 | 85 | 81 | 89 | 76 | 80 | 75 | 79 | 79 | 82 | 71 | 77 | 60 | 51 | 42 | 40 | 76 | 0 | 25 | 2 | 2,250,000$ | ||||
3 | Oscar Sundqvist | X | 100.00 | 75 | 36 | 80 | 77 | 76 | 82 | 80 | 76 | 74 | 81 | 82 | 74 | 77 | 58 | 52 | 42 | 40 | 76 | 0 | 24 | 3 | 2,250,000$ | ||||
4 | Wayne Simmonds | X | 100.00 | 81 | 44 | 81 | 77 | 80 | 68 | 83 | 78 | 71 | 80 | 79 | 75 | 70 | 76 | 65 | 24 | 40 | 76 | 0 | 30 | 3 | 2,000,000$ | ||||
5 | Andreas Martinsen | X | 100.00 | 80 | 35 | 77 | 77 | 75 | 73 | 77 | 75 | 73 | 77 | 79 | 76 | 68 | 79 | 71 | 27 | 40 | 75 | 0 | 28 | 2 | 1,700,000$ | ||||
6 | Brendan Gaunce (R) | X | 100.00 | 66 | 35 | 76 | 80 | 75 | 78 | 78 | 80 | 81 | 86 | 80 | 63 | 72 | 63 | 52 | 45 | 40 | 75 | 0 | 24 | 3 | 1,700,000$ | ||||
7 | Gustav Nyquist | X | 100.00 | 75 | 26 | 76 | 70 | 76 | 74 | 83 | 79 | 78 | 82 | 81 | 65 | 66 | 66 | 61 | 24 | 40 | 74 | 0 | 29 | 1 | 1,700,000$ | ||||
8 | Drew Doughty | X | 100.00 | 79 | 30 | 82 | 88 | 91 | 84 | 87 | 94 | 58 | 93 | 80 | 81 | 72 | 91 | 78 | 31 | 40 | 84 | 2 | 29 | 1 | 8,500,000$ | ||||
9 | Tyler Cuma | X | 100.00 | 78 | 23 | 83 | 82 | 75 | 86 | 80 | 82 | 59 | 89 | 69 | 80 | 73 | 84 | 56 | 28 | 40 | 78 | 1 | 28 | 2 | 3,500,000$ | ||||
10 | Arturs Kulda | X | 100.00 | 73 | 38 | 73 | 79 | 75 | 82 | 60 | 74 | 58 | 74 | 64 | 82 | 66 | 70 | 56 | 21 | 40 | 74 | 0 | 30 | 2 | 1,100,000$ | ||||
11 | Connor Murphy (R) | X | 100.00 | 70 | 36 | 83 | 78 | 75 | 80 | 76 | 76 | 55 | 73 | 74 | 76 | 72 | 76 | 52 | 37 | 37 | 74 | 0 | 25 | 2 | 1,500,000$ | ||||
12 | MacKenzie Weegar (R) | X | 100.00 | 58 | 34 | 83 | 87 | 59 | 69 | 74 | 85 | 40 | 81 | 62 | 83 | 51 | 51 | 50 | 48 | 40 | 72 | 0 | 24 | 3 | 2,500,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Brandon Kozun | X | 100.00 | 68 | 24 | 78 | 72 | 71 | 80 | 80 | 75 | 71 | 77 | 74 | 63 | 69 | 70 | 61 | 24 | 40 | 71 | 0 | 28 | 1 | 950,000$ | ||||
2 | William Carrier (R) | X | 100.00 | 82 | 40 | 78 | 73 | 72 | 69 | 78 | 76 | 70 | 81 | 68 | 67 | 70 | 64 | 51 | 36 | 40 | 71 | 0 | 24 | 2 | 980,000$ | ||||
3 | Emil Pettersson (R) | X | 100.00 | 68 | 28 | 82 | 70 | 71 | 64 | 77 | 73 | 76 | 76 | 72 | 59 | 67 | 62 | 49 | 34 | 40 | 69 | 0 | 24 | 2 | 800,000$ | ||||
4 | Cole Ully (R) | X | 100.00 | 65 | 37 | 81 | 69 | 64 | 75 | 72 | 71 | 73 | 82 | 70 | 51 | 68 | 50 | 47 | 40 | 40 | 68 | 0 | 23 | 1 | 725,000$ | ||||
5 | Theodor Blueger (R) | X | 100.00 | 69 | 35 | 80 | 69 | 66 | 70 | 71 | 75 | 61 | 71 | 73 | 58 | 66 | 52 | 48 | 37 | 40 | 67 | 0 | 24 | 2 | 800,000$ | ||||
6 | Alex Henriksson (R) | X | 100.00 | 68 | 32 | 77 | 69 | 61 | 63 | 75 | 69 | 64 | 74 | 68 | 61 | 72 | 49 | 47 | 37 | 40 | 66 | 0 | 23 | 1 | 700,000$ | ||||
7 | Kyle Platzer (R) | X | 100.00 | 49 | 39 | 70 | 71 | 46 | 71 | 58 | 74 | 65 | 67 | 65 | 65 | 82 | 45 | 46 | 35 | 40 | 64 | 0 | 23 | 2 | 500,000$ | ||||
8 | Eric Gustafsson | X | 100.00 | 68 | 27 | 81 | 77 | 71 | 74 | 80 | 85 | 52 | 82 | 60 | 70 | 57 | 73 | 54 | 33 | 40 | 72 | 0 | 26 | 2 | 990,000$ | ||||
9 | Samuel Groulx | X | 100.00 | 64 | 35 | 70 | 71 | 69 | 80 | 68 | 72 | 47 | 74 | 67 | 77 | 55 | 69 | 57 | 24 | 40 | 70 | 0 | 28 | 1 | 975,000$ | ||||
10 | Kurtis Macdermid (R) | X | 100.00 | 81 | 61 | 77 | 67 | 75 | 66 | 78 | 70 | 57 | 75 | 59 | 76 | 60 | 55 | 54 | 44 | 40 | 70 | 0 | 24 | 2 | 850,000$ | ||||
11 | Mario Lucia (R) | X | 100.00 | 61 | 37 | 72 | 66 | 70 | 67 | 62 | 70 | 67 | 59 | 82 | 54 | 59 | 51 | 51 | 31 | 40 | 65 | 0 | 25 | 1 | 750,000$ | ||||
12 | Noah Gregor (R) | X | 100.00 | 62 | 33 | 79 | 73 | 62 | 63 | 64 | 65 | 66 | 65 | 74 | 63 | 67 | 43 | 44 | 62 | 40 | 65 | 0 | 20 | 2 | 600,000$ | ||||
13 | Aleksi Heponiemi (R) | X | 100.00 | 56 | 31 | 73 | 65 | 60 | 64 | 69 | 65 | 77 | 78 | 68 | 49 | 53 | 42 | 42 | 70 | 40 | 63 | 0 | 19 | 1 | 500,000$ | ||||
14 | Jacob Peterson (R) | X | 100.00 | 61 | 32 | 68 | 53 | 71 | 64 | 68 | 66 | 60 | 64 | 73 | 44 | 62 | 42 | 42 | 63 | 40 | 61 | 0 | 19 | 1 | 500,000$ | ||||
15 | Thomas Gobeil (R) | X | 100.00 | 66 | 40 | 65 | 58 | 62 | 62 | 71 | 68 | 66 | 63 | 59 | 50 | 65 | 48 | 47 | 32 | 40 | 60 | 0 | 24 | 1 | 650,000$ | ||||
16 | Ben Jones (R) | X | 100.00 | 64 | 30 | 74 | 50 | 69 | 58 | 59 | 54 | 63 | 63 | 69 | 44 | 61 | 41 | 41 | 61 | 40 | 58 | 0 | 19 | 1 | 500,000$ | ||||
17 | Jaedon Descheneau (R) | X | 100.00 | 44 | 43 | 68 | 59 | 54 | 65 | 64 | 58 | 67 | 67 | 69 | 40 | 49 | 45 | 47 | 28 | 40 | 58 | 0 | 23 | 1 | 500,000$ | ||||
18 | Scott Reedy (R) | X | 100.00 | 52 | 32 | 71 | 60 | 63 | 62 | 58 | 62 | 56 | 57 | 67 | 37 | 59 | 41 | 41 | 64 | 40 | 57 | 0 | 19 | 1 | 500,000$ | ||||
19 | Nikolai Kovalenko (R) | X | 100.00 | 59 | 39 | 64 | 62 | 66 | 65 | 54 | 61 | 64 | 59 | 52 | 43 | 64 | 41 | 43 | 66 | 40 | 56 | 0 | 19 | 2 | 500,000$ | ||||
20 | Alexei Toropchenko (R) | X | 100.00 | 58 | 29 | 58 | 50 | 59 | 49 | 53 | 54 | 48 | 56 | 70 | 45 | 64 | 41 | 41 | 61 | 40 | 54 | 0 | 19 | 1 | 500,000$ | ||||
21 | Logan Stanley (R) | X | 100.00 | 82 | 43 | 71 | 75 | 80 | 83 | 54 | 60 | 45 | 70 | 58 | 72 | 56 | 47 | 44 | 65 | 40 | 70 | 0 | 20 | 2 | 850,000$ | ||||
22 | Robin Norell (R) | X | 100.00 | 70 | 33 | 83 | 67 | 66 | 73 | 68 | 65 | 43 | 73 | 52 | 82 | 60 | 53 | 48 | 37 | 40 | 69 | 0 | 23 | 2 | 750,000$ | ||||
23 | Mac Hollowell (R) | X | 100.00 | 65 | 45 | 77 | 60 | 61 | 72 | 60 | 55 | 44 | 65 | 54 | 68 | 56 | 45 | 43 | 68 | 40 | 63 | 0 | 20 | 2 | 500,000$ | ||||
24 | Jordan Gross (R) | X | 100.00 | 70 | 28 | 69 | 63 | 64 | 65 | 68 | 64 | 44 | 69 | 65 | 63 | 50 | 47 | 52 | 34 | 40 | 63 | 0 | 23 | 1 | 650,000$ | ||||
25 | Alex Lintuniemi (R) | X | 100.00 | 55 | 35 | 69 | 66 | 57 | 58 | 55 | 73 | 28 | 69 | 54 | 62 | 44 | 44 | 44 | 46 | 40 | 60 | 0 | 22 | 1 | 700,000$ | ||||
26 | Dennis Cholowski (R) | X | 100.00 | 61 | 37 | 79 | 48 | 56 | 69 | 70 | 57 | 28 | 68 | 62 | 53 | 55 | 42 | 42 | 64 | 40 | 59 | 0 | 20 | 2 | 575,000$ | ||||
27 | Bode Wilde (R) | X | 100.00 | 70 | 39 | 61 | 58 | 62 | 64 | 45 | 53 | 31 | 57 | 49 | 55 | 42 | 40 | 40 | 74 | 40 | 57 | 0 | 18 | 2 | 500,000$ | ||||
28 | Ryan Merkley (R) | X | 100.00 | 59 | 20 | 68 | 50 | 45 | 52 | 51 | 60 | 35 | 58 | 60 | 45 | 45 | 40 | 40 | 72 | 40 | 53 | 0 | 18 | 2 | 500,000$ | ||||
TEAM AVERAGE | 100.00 | 68 | 36 | 75 | 71 | 70 | 71 | 71 | 72 | 60 | 74 | 70 | 65 | 64 | 59 | 53 | 41 | 40 | 69 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Philipp Grubauer | 100.00 | 76 | 89 | 76 | 84 | 80 | 81 | 83 | 80 | 84 | 80 | 74 | 76 | 67 | 27 | 40 | 81 | 2 | 27 | 2 | 4,500,000$ | |
2 | Malcolm Subban | 100.00 | 69 | 78 | 87 | 71 | 72 | 83 | 85 | 72 | 72 | 90 | 72 | 62 | 56 | 39 | 40 | 76 | 0 | 25 | 2 | 1,500,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Joacim Eriksson | 100.00 | 72 | 71 | 70 | 78 | 68 | 57 | 63 | 74 | 70 | 63 | 68 | 60 | 56 | 23 | 40 | 67 | 0 | 28 | 1 | 800,000$ | |
2 | Joni Ortio | 100.00 | 66 | 79 | 73 | 75 | 75 | 76 | 76 | 82 | 72 | 71 | 67 | 60 | 56 | 31 | 40 | 73 | 0 | 27 | 2 | 900,000$ | |
3 | Kevin Mandolese (R) | 100.00 | 67 | 48 | 57 | 70 | 72 | 40 | 48 | 58 | 62 | 40 | 64 | 40 | 40 | 65 | 40 | 56 | 0 | 18 | 2 | 500,000$ | |
TEAM AVERAGE | 100.00 | 70 | 73 | 73 | 76 | 73 | 67 | 71 | 73 | 72 | 69 | 69 | 60 | 55 | 37 | 40 | 71 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Patrick Roy | 79 | 85 | 67 | 58 | 37 | 80 | 59 | Can | 52 | 1 | 900,000$ |
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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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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 |
# | 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 |
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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 | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andreas Martinsen | Sharks | LW | 28 | 1990-01-01 | No | 220 Lbs | 6 ft3 | No | No | No | 2 | Pro Only | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | No | 1,700,000$ | |||||||||
Arturs Kulda | Sharks | D | 30 | 1988-01-01 | No | 215 Lbs | 6 ft2 | No | No | No | 2 | Pro Only | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | No | 1,100,000$ | |||||||||
Beau Bennett | Sharks | RW | 27 | 1991-01-01 | No | 195 Lbs | 6 ft2 | No | No | No | 1 | Pro Only | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | ||||||||||
Boone Jenner | Sharks | C | 25 | 1993-01-01 | No | 215 Lbs | 6 ft2 | No | No | No | 2 | Pro Only | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | No | 2,250,000$ | |||||||||
Brendan Gaunce | Sharks | C | 24 | 1994-01-01 | Yes | 207 Lbs | 6 ft3 | No | No | No | 3 | Pro Only | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | No | 1,700,000$ | 1,700,000$ | ||||||||
Connor Murphy | Sharks | D | 25 | 1993-01-01 | Yes | 212 Lbs | 6 ft4 | No | No | No | 2 | Pro Only | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 1,500,000$ | |||||||||
Conor Sheary | Sharks | RW | 26 | 1992-01-01 | No | 176 Lbs | 5 ft8 | No | No | No | 2 | Pro Only | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | No | 4,500,000$ | |||||||||
Daniel Carcillo | Sharks | LW | 33 | 1985-01-01 | No | 205 Lbs | 6 ft0 | No | No | No | 1 | Pro Only | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | No | ||||||||||
Dion Phaneuf | Sharks | D | 33 | 1985-01-01 | No | 214 Lbs | 6 ft3 | No | No | No | 1 | Pro Only | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | No | ||||||||||
Drew Doughty | Sharks | D | 29 | 1989-01-01 | No | 212 Lbs | 6 ft0 | No | No | No | 1 | Pro Only | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | No | ||||||||||
Gustav Nyquist | Sharks | LW | 29 | 1989-01-01 | No | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro Only | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | No | ||||||||||
MacKenzie Weegar | Sharks | D | 24 | 1994-01-01 | Yes | 200 Lbs | 6 ft0 | No | No | No | 3 | Pro Only | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | No | 3,000,000$ | 3,500,000$ | ||||||||
Malcolm Subban | Sharks | G | 25 | 1993-01-01 | No | 195 Lbs | 6 ft1 | No | No | No | 2 | Pro Only | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 1,750,000$ | |||||||||
Markus Nutivaara | Sharks | D | 24 | 1994-01-01 | Yes | 187 Lbs | 6 ft1 | No | No | No | 3 | Pro Only | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | No | 2,500,000$ | 3,250,000$ | ||||||||
Mike Lundin | Sharks | D | 34 | 1984-01-01 | No | 197 Lbs | 6 ft2 | No | No | No | 1 | Pro Only | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | ||||||||||
Oscar Sundqvist | Sharks | C | 24 | 1994-01-01 | No | 172 Lbs | 6 ft3 | No | No | No | 3 | Pro Only | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | No | 2,250,000$ | 2,250,000$ | ||||||||
Philipp Grubauer | Sharks | G | 27 | 1991-01-01 | No | 184 Lbs | 6 ft1 | No | No | No | 2 | Pro Only | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | No | 4,500,000$ | |||||||||
Ronalds Kenins | Sharks | LW | 27 | 1991-01-01 | No | 201 Lbs | 6 ft0 | No | No | No | 3 | Pro Only | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | No | 3,250,000$ | 3,250,000$ | ||||||||
Tyler Cuma | Sharks | D | 28 | 1990-01-01 | No | 180 Lbs | 6 ft2 | No | No | No | 2 | Pro Only | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | 3,500,000$ | |||||||||
Vince Hinostroza | Sharks | RW | 24 | 1994-01-01 | Yes | 158 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 2,000,000$ | 2,500,000$ | ||||||||
Wayne Simmonds | Sharks | RW | 30 | 1988-01-01 | No | 175 Lbs | 6 ft2 | No | No | No | 3 | Pro Only | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | 1,500,000$ | 1,000,000$ | ||||||||
Zach Parise | Sharks | LW | 34 | 1984-01-01 | No | 190 Lbs | 5 ft11 | No | No | No | 2 | Pro Only | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | 1,500,000$ |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 27.73 | 195 Lbs | 6 ft1 | 2.05 | 2,690,909$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
59,200,000$ | 38,500,000$ | 17,450,000$ | 0$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Daniel Carcillo | 40 | 0 | 2 | 3 | ||
2 | 30 | 0 | 2 | 3 | |||
3 | Zach Parise | Conor Sheary | 20 | 0 | 2 | 3 | |
4 | 10 | 0 | 3 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Mike Lundin | 40 | 0 | 2 | 3 | ||
2 | Dion Phaneuf | 30 | 0 | 2 | 3 | ||
3 | Markus Nutivaara | 20 | 0 | 3 | 2 | ||
4 | Mike Lundin | 10 | 0 | 3 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Daniel Carcillo | 60 | 0 | 2 | 3 | ||
2 | 40 | 0 | 2 | 3 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Mike Lundin | 60 | 0 | 2 | 3 | ||
2 | Dion Phaneuf | 40 | 0 | 2 | 3 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Daniel Carcillo | 60 | 1 | 4 | 0 | |
2 | 40 | 1 | 4 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Mike Lundin | 60 | 1 | 4 | 0 | |
2 | Dion Phaneuf | 40 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 4 | 0 | Mike Lundin | 60 | 1 | 4 | 0 | ||
2 | 40 | 1 | 4 | 0 | Dion Phaneuf | 40 | 1 | 4 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Daniel Carcillo | 60 | 0 | 2 | 3 | |
2 | 40 | 0 | 2 | 3 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Mike Lundin | 60 | 0 | 3 | 2 | |
2 | Dion Phaneuf | 40 | 0 | 3 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Daniel Carcillo | Mike Lundin |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Daniel Carcillo | Mike Lundin |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Daniel Carcillo, , Zach Parise | Daniel Carcillo, | Daniel Carcillo |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , Markus Nutivaara | , |
Penalty Shots |
---|
, , , Conor Sheary, Daniel Carcillo |
Goalie |
---|
#1 : Philipp Grubauer, #2 : Malcolm Subban |
Custom OT Lines Forwards |
---|
, , , , , , , , , , |
Custom OT Lines Defensemen |
---|
, , , , |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100 | 60 | 35 | 25 | 200 |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 | Capacity | Team Popularity |
40 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 59,200,000$ | 48,695,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 22 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 6,550,144$ | 6,550,144$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 72,550,144$ | 72,550,144$ | -35,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Year | R1 | R2 | R3 | R4 | R5 |
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3 | |||||
4 | |||||
5 | |||||
6 | |||||
7 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|