Senators | |
GP: 1 | W: 1 | L: 0 GF: 3 | GA: 1 | PP%: 0% | PK%: 50.00% DG: Noddan | Morale : 68 | Moyenne d’équipe : 59 Prochains matchs #11 vs Monsters |
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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 |
# | Nom du joueur | # | 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 | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Olle Lycksell | 0 | X | 99.00 | 50 | 36 | 83 | 70 | 74 | 74 | 60 | 66 | 53 | 69 | 68 | 59 | 60 | 50 | 60 | 0 | 80 | 62 | 0 | 25 | 1 | 875,000$ | ||||
2 | Ryan Carpenter | 0 | X | 100.00 | 62 | 45 | 86 | 61 | 83 | 77 | 62 | 58 | 73 | 65 | 64 | 68 | 64 | 61 | 69 | 0 | 19 | 61 | 0 | 33 | 1 | 900,000$ | ||||
3 | Adam Klapka | 0 | X | 99.00 | 52 | 59 | 80 | 52 | 96 | 68 | 60 | 63 | 46 | 65 | 67 | 58 | 64 | 50 | 60 | 0 | 69 | 60 | 0 | 24 | 1 | 800,000$ | ||||
4 | Walker Duehr | 0 | X | 99.00 | 83 | 48 | 82 | 57 | 87 | 71 | 60 | 56 | 49 | 65 | 61 | 62 | 60 | 51 | 62 | 0 | 80 | 60 | 0 | 27 | 1 | 825,000$ | ||||
5 | Milos Kelemen | 0 | X | 100.00 | 51 | 48 | 83 | 56 | 87 | 70 | 60 | 60 | 51 | 64 | 65 | 60 | 63 | 50 | 60 | 0 | 78 | 59 | 0 | 25 | 2 | 925,000$ | ||||
6 | Clark Bishop | 0 | X | 100.00 | 50 | 44 | 75 | 54 | 83 | 60 | 60 | 58 | 40 | 62 | 63 | 62 | 62 | 50 | 60 | 0 | 81 | 58 | 0 | 28 | 1 | 800,000$ | ||||
7 | Jimmy Huntington | 0 | X | 100.00 | 50 | 45 | 75 | 54 | 84 | 60 | 60 | 60 | 40 | 63 | 64 | 62 | 62 | 50 | 60 | 0 | 66 | 58 | 0 | 26 | 1 | 775,000$ | ||||
8 | Luke Toporowski | 0 | X | 99.00 | 50 | 41 | 75 | 57 | 79 | 60 | 60 | 58 | 40 | 63 | 63 | 62 | 62 | 50 | 60 | 0 | 81 | 58 | 0 | 23 | 1 | 775,000$ | ||||
9 | Max Ellis | 0 | X | 99.00 | 50 | 38 | 75 | 59 | 75 | 60 | 60 | 58 | 40 | 63 | 61 | 62 | 61 | 50 | 60 | 0 | 81 | 58 | 0 | 24 | 1 | 800,000$ | ||||
10 | Blake Murray | 0 | X | 100.00 | 50 | 43 | 75 | 54 | 82 | 60 | 60 | 56 | 40 | 61 | 61 | 62 | 61 | 50 | 60 | 0 | 64 | 57 | 0 | 23 | 1 | 750,000$ | ||||
11 | Adam Raska | 0 | X | 100.00 | 51 | 40 | 82 | 59 | 77 | 68 | 60 | 53 | 40 | 60 | 59 | 62 | 60 | 50 | 60 | 0 | 78 | 57 | 0 | 23 | 1 | 850,000$ | ||||
12 | Ondrej Pavel (R) | 0 | X | X | X | 100.00 | 50 | 46 | 75 | 50 | 86 | 60 | 60 | 54 | 40 | 60 | 61 | 62 | 61 | 50 | 60 | 0 | 61 | 56 | 0 | 24 | 1 | 950,000$ | ||
13 | Ethan Bear (A) | 0 | X | 100.00 | 61 | 44 | 83 | 59 | 82 | 76 | 60 | 68 | 20 | 63 | 62 | 70 | 58 | 55 | 65 | 0 | 81 | 63 | 0 | 27 | 1 | 1,000,000$ | ||||
14 | Jacob MacDonald (A) | 0 | X | 100.00 | 67 | 51 | 85 | 59 | 84 | 71 | 60 | 78 | 51 | 63 | 70 | 69 | 72 | 52 | 62 | 0 | 64 | 63 | 0 | 31 | 2 | 1,000,000$ | ||||
15 | Christian Wolanin | 0 | X | 100.00 | 50 | 43 | 75 | 58 | 82 | 60 | 60 | 79 | 20 | 68 | 63 | 68 | 62 | 50 | 60 | 0 | 81 | 61 | 0 | 29 | 1 | 900,000$ | ||||
16 | Dysin Mayo | 0 | X | 100.00 | 50 | 41 | 75 | 56 | 81 | 60 | 60 | 74 | 20 | 63 | 61 | 68 | 61 | 50 | 60 | 0 | 81 | 60 | 0 | 28 | 4 | 900,000$ | ||||
17 | Jake Bischoff | 0 | X | 100.00 | 50 | 44 | 75 | 54 | 82 | 60 | 60 | 74 | 20 | 64 | 61 | 68 | 61 | 50 | 60 | 0 | 82 | 60 | 0 | 30 | 1 | 850,000$ | ||||
18 | Marshall Rifai | 0 | X | 100.00 | 50 | 43 | 87 | 59 | 82 | 71 | 60 | 73 | 20 | 64 | 60 | 64 | 60 | 50 | 60 | 0 | 54 | 60 | 0 | 26 | 1 | 800,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Ville Petman | 0 | X | 100.00 | 50 | 40 | 75 | 56 | 78 | 60 | 60 | 55 | 40 | 62 | 59 | 62 | 60 | 50 | 60 | 0 | 58 | 56 | 0 | 24 | 1 | 800,000$ | ||||
2 | Nikita Novikov (R) | 0 | X | 100.00 | 50 | 47 | 75 | 51 | 88 | 60 | 60 | 74 | 20 | 64 | 61 | 68 | 61 | 50 | 60 | 0 | 21 | 59 | 0 | 21 | 3 | 875,000$ | ||||
3 | Maximus Wanner (R) | 0 | X | 100.00 | 50 | 41 | 75 | 55 | 81 | 60 | 60 | 72 | 20 | 61 | 62 | 68 | 61 | 50 | 60 | 0 | 22 | 59 | 0 | 21 | 3 | 875,000$ | ||||
4 | Valtteri Pulli (R) | 0 | X | 100.00 | 50 | 48 | 75 | 49 | 89 | 60 | 60 | 71 | 20 | 61 | 60 | 68 | 60 | 50 | 60 | 0 | 21 | 59 | 0 | 23 | 2 | 950,000$ | ||||
MOYENNE D’ÉQUIPE | 99.77 | 54 | 44 | 78 | 56 | 83 | 65 | 60 | 64 | 37 | 63 | 63 | 64 | 62 | 51 | 61 | 0 | 64 | 59 |
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 |
# | Nom du gardien | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jet Greaves | 0 | 99.00 | 74 | 80 | 77 | 84 | 78 | 78 | 74 | 79 | 78 | 76 | 77 | 68 | 67 | 0 | 85 | 74 | 0 | 23 | 1 | 925,000$ | |
2 | Jesper Vikman | 0 | 100.00 | 49 | 63 | 60 | 88 | 53 | 54 | 51 | 54 | 54 | 50 | 52 | 67 | 67 | 0 | 85 | 58 | 0 | 22 | 2 | 775,000$ | |
Rayé | ||||||||||||||||||||||||
1 | Oskari Salminen | 0 | 100.00 | 41 | 56 | 53 | 88 | 45 | 45 | 43 | 45 | 45 | 41 | 44 | 71 | 69 | 0 | 24 | 51 | 0 | 25 | 1 | 950,000$ | |
2 | Anson Thornton | 0 | 100.00 | 38 | 53 | 50 | 86 | 43 | 42 | 42 | 43 | 43 | 38 | 41 | 65 | 66 | 0 | 24 | 49 | 0 | 21 | 3 | 775,000$ | |
MOYENNE D’ÉQUIPE | 99.75 | 51 | 63 | 60 | 87 | 55 | 55 | 53 | 55 | 55 | 51 | 54 | 68 | 67 | 0 | 55 | 58 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Ken Gernander | 75 | 75 | 75 | 75 | 75 | 75 | 75 | USA | 55 | 6 | 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 |
# | Nom du joueur | Nom de l’équipe | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan Carpenter | Senators (OTT) | C | 1 | 2 | 0 | 2 | 2 | 0 | 0 | 1 | 1 | 6 | 3 | 4 | 33.33% | 1 | 12 | 12.63 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 50.00% | 8 | 2 | 0 | 0 | 0 | 3.17 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
2 | Marshall Rifai | Senators (OTT) | D | 1 | 0 | 2 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0% | 2 | 19 | 19.63 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0% | 0 | 1 | 0 | 0 | 0 | 2.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
3 | Christian Wolanin | Senators (OTT) | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 0% | 3 | 19 | 19.48 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | Ondrej Pavel | Senators (OTT) | C/LW/RW | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 2 | 0% | 0 | 12 | 12.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 1.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Luke Toporowski | Senators (OTT) | LW | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 1 | 7 | 0 | 1 | 14.29% | 0 | 16 | 16.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 1 | 0 | 0 | 1.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Milos Kelemen | Senators (OTT) | LW | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 3 | 0 | 4 | 0% | 0 | 16 | 16.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29.41% | 17 | 0 | 1 | 0 | 0 | 1.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Blake Murray | Senators (OTT) | C | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0% | 0 | 12 | 12.33 | 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 |
8 | Adam Raska | Senators (OTT) | RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 2 | 3 | 0% | 1 | 13 | 13.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Olle Lycksell | Senators (OTT) | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 2 | 0% | 1 | 17 | 17.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.56% | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Clark Bishop | Senators (OTT) | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 0 | 3 | 0% | 0 | 13 | 13.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 25.00% | 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Dysin Mayo | Senators (OTT) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0% | 2 | 18 | 18.40 | 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 |
12 | Jake Bischoff | Senators (OTT) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0% | 2 | 18 | 18.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Adam Klapka | Senators (OTT) | RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 3 | 3 | 0% | 0 | 17 | 17.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Jimmy Huntington | Senators (OTT) | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0% | 0 | 11 | 11.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Ethan Bear | Senators (OTT) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | 2 | 4 | 1 | 0% | 1 | 21 | 21.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Jacob MacDonald | Senators (OTT) | D | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0% | 3 | 21 | 21.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Walker Duehr | Senators (OTT) | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 1 | 0% | 1 | 17 | 17.73 | 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 |
18 | Max Ellis | Senators (OTT) | RW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0% | 0 | 16 | 16.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 18 | 3 | 5 | 8 | 14 | 4 | 0 | 21 | 14 | 31 | 19 | 28 | 9.68% | 17 | 297 | 16.55 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 2 | 8 | 1 | 0 | 38.60% | 57 | 8 | 9 | 0 | 0 | 0.54 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
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 |
# | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jet Greaves | Senators (OTT) | 1 | 1 | 0 | 0 | 0.972 | 1.00 | 60 | 0 | 0 | 1 | 36 | 16 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
Statistiques d’équipe totales ou en moyenne | 1 | 1 | 0 | 0 | 0.972 | 1.00 | 60 | 0 | 0 | 1 | 36 | 16 | 0 | 0 | 0 | 1 | 0 | 0 | 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 |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire année 2 | Salaire année 3 | Salaire année 4 | Salaire année 5 | Salaire année 6 | Salaire année 7 | Salaire année 8 | Salaire année 9 | Salaire année 10 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Klapka | Senators (OTT) | RW | 24 | 2000-09-14 | CZE | No | 235 Lbs | 6 ft7 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 742,857$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Adam Raska | Senators (OTT) | RW | 23 | 2001-09-25 | CZE | No | 178 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 850,000$ | 789,286$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Anson Thornton | Senators (OTT) | G | 21 | 2003-06-28 | CAN | No | 185 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 775,000$ | 775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Blake Murray | Senators (OTT) | C | 23 | 2001-07-05 | CAN | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 696,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Christian Wolanin | Senators (OTT) | D | 29 | 1995-03-17 | CAN | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 900,000$ | 835,714$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Clark Bishop | Senators (OTT) | C | 28 | 1996-03-29 | CAN | No | 195 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 742,857$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Dysin Mayo | Senators (OTT) | D | 28 | 1996-08-17 | CAN | No | 183 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 900,000$ | 835,714$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Ethan Bear | Senators (OTT) | D | 27 | 1997-06-26 | CAN | No | 197 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 928,571$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jacob MacDonald | Senators (OTT) | D | 31 | 1993-02-26 | USA | No | 204 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,000,000$ | 928,571$ | 0$ | 0$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jake Bischoff | Senators (OTT) | D | 30 | 1994-07-25 | USA | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 850,000$ | 789,286$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jesper Vikman | Senators (OTT) | G | 22 | 2002-03-11 | SWE | No | 205 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Jet Greaves | Senators (OTT) | G | 23 | 2001-03-30 | CAN | No | 179 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 858,929$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jimmy Huntington | Senators (OTT) | C | 26 | 1998-11-18 | CAN | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Luke Toporowski | Senators (OTT) | LW | 23 | 2001-04-12 | USA | No | 183 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 719,643$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Marshall Rifai | Senators (OTT) | D | 26 | 1998-03-16 | CAN | No | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 742,857$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Max Ellis | Senators (OTT) | RW | 24 | 2000-01-18 | USA | No | 171 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 742,857$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Maximus Wanner | Senators (OTT) | D | 21 | 2003-03-12 | CAN | Yes | 184 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 875,000$ | 812,500$ | 0$ | 0$ | No | 875,000$ | 875,000$ | - | - | - | - | - | - | - | 875,000$ | 875,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Milos Kelemen | Senators (OTT) | LW | 25 | 1999-07-06 | SVK | No | 210 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 925,000$ | 858,929$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Nikita Novikov | Senators (OTT) | D | 21 | 2003-07-25 | RUS | Yes | 209 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 875,000$ | 812,500$ | 0$ | 0$ | No | 875,000$ | 875,000$ | - | - | - | - | - | - | - | 875,000$ | 875,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Olle Lycksell | Senators (OTT) | RW | 25 | 1999-08-24 | SWE | No | 163 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 875,000$ | 812,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ondrej Pavel | Senators (OTT) | C/LW/RW | 24 | 2000-08-29 | CZE | Yes | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 950,000$ | 882,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Oskari Salminen | Senators (OTT) | G | 25 | 1999-09-22 | FIN | No | 201 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 950,000$ | 882,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ryan Carpenter | Senators (OTT) | C | 33 | 1991-01-18 | USA | No | 198 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 900,000$ | 835,714$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Valtteri Pulli | Senators (OTT) | D | 23 | 2001-03-13 | FIN | Yes | 210 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 950,000$ | 882,143$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Ville Petman | Senators (OTT) | C | 24 | 2000-01-18 | FIN | No | 181 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 742,857$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Walker Duehr | Senators (OTT) | RW | 27 | 1997-11-23 | USA | No | 210 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 825,000$ | 766,071$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
26 | 25.23 | 194 Lbs | 6 ft1 | 1.50 | 861,538$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Adam Klapka | Olle Lycksell | Walker Duehr | 30 | 1 | 2 | 2 |
2 | Luke Toporowski | Milos Kelemen | Max Ellis | 30 | 1 | 2 | 2 |
3 | Jimmy Huntington | Clark Bishop | Adam Raska | 20 | 1 | 2 | 2 |
4 | Ondrej Pavel | Ryan Carpenter | Blake Murray | 20 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Ethan Bear | Jake Bischoff | 32 | 1 | 2 | 2 | |
2 | Christian Wolanin | Dysin Mayo | 32 | 1 | 2 | 2 | |
3 | Jacob MacDonald | Marshall Rifai | 32 | 1 | 2 | 2 | |
4 | Ethan Bear | Jacob MacDonald | 4 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Adam Klapka | Olle Lycksell | Milos Kelemen | 60 | 1 | 2 | 2 |
2 | Luke Toporowski | Ryan Carpenter | Jimmy Huntington | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Jacob MacDonald | Ethan Bear | 60 | 1 | 2 | 2 | |
2 | Christian Wolanin | Marshall Rifai | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Clark Bishop | Adam Raska | 60 | 1 | 2 | 2 |
2 | Ryan Carpenter | Blake Murray | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Jacob MacDonald | Ethan Bear | 60 | 1 | 2 | 2 |
2 | Christian Wolanin | Marshall Rifai | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Olle Lycksell | 60 | 1 | 2 | 2 | Jacob MacDonald | Ethan Bear | 60 | 1 | 2 | 2 |
2 | Ryan Carpenter | 40 | 1 | 2 | 2 | Christian Wolanin | Marshall Rifai | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Olle Lycksell | Adam Klapka | 60 | 1 | 2 | 2 |
2 | Milos Kelemen | Luke Toporowski | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Jacob MacDonald | Ethan Bear | 60 | 1 | 2 | 2 |
2 | Christian Wolanin | Marshall Rifai | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Adam Klapka | Olle Lycksell | Walker Duehr | Jacob MacDonald | Ethan Bear |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Walker Duehr | Ryan Carpenter | Olle Lycksell | Jacob MacDonald | Ethan Bear |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Olle Lycksell, Ryan Carpenter, Adam Raska | Walker Duehr, Clark Bishop | Max Ellis |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Ethan Bear, Christian Wolanin, Jacob MacDonald | Marshall Rifai | Dysin Mayo, Marshall Rifai |
Tirs de pénalité |
---|
Olle Lycksell, Ryan Carpenter, Milos Kelemen, Max Ellis, Luke Toporowski |
Gardien |
---|
#1 : Jet Greaves, #2 : Jesper Vikman |
Lignes d’attaque personnalisées en prolongation |
---|
Olle Lycksell, Ryan Carpenter, Milos Kelemen, Max Ellis, Luke Toporowski, Jimmy Huntington, Clark Bishop, Adam Raska, Blake Murray, Ondrej Pavel |
Lignes de défense personnalisées en prolongation |
---|
Jacob MacDonald, Ethan Bear, Christian Wolanin, Marshall Rifai, Jake Bischoff |
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 |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Équipe | 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 |
1 | Monsters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 31 | 13 | 13 | 5 | 0 | 36 | 17 | 4 | 21 | 0 | 0 | 0% | 2 | 1 | 50.00% | 1 | 8 | 17 | 47.06% | 10 | 28 | 35.71% | 4 | 12 | 33.33% | 20 | 11 | 20 | 8 | 18 | 8 |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 31 | 13 | 13 | 5 | 0 | 36 | 17 | 4 | 21 | 0 | 0 | 0% | 2 | 1 | 50.00% | 1 | 8 | 17 | 47.06% | 10 | 28 | 35.71% | 4 | 12 | 33.33% | 20 | 11 | 20 | 8 | 18 | 8 | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 31 | 13 | 13 | 5 | 0 | 36 | 17 | 4 | 21 | 0 | 0 | 0% | 2 | 1 | 50.00% | 1 | 8 | 17 | 47.06% | 10 | 28 | 35.71% | 4 | 12 | 33.33% | 20 | 11 | 20 | 8 | 18 | 8 | |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 31 | 13 | 13 | 5 | 0 | 36 | 17 | 4 | 21 | 0 | 0 | 0% | 2 | 1 | 50.00% | 1 | 8 | 17 | 47.06% | 10 | 28 | 35.71% | 4 | 12 | 33.33% | 20 | 11 | 20 | 8 | 18 | 8 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
1 | 2 | W1 | 3 | 5 | 8 | 31 | 36 | 17 | 4 | 21 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 1 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 1 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
1 | 0 | 0 | 0 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
0 | 0 | 0% | 2 | 1 | 50.00% | 1 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
13 | 13 | 5 | 0 | 0 | 2 | 1 | 0 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
8 | 17 | 47.06% | 10 | 28 | 35.71% | 4 | 12 | 33.33% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
20 | 11 | 20 | 8 | 18 | 8 |
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 |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | Senators | 3 | Monsters | 1 | W | Sommaire du match | |||
3 | 11 | Senators | - | Monsters | - | |||||
5 | 19 | Monsters | - | Senators | - | |||||
7 | 27 | Monsters | - | Senators | - | |||||
9 | 35 | Senators | - | Monsters | - | |||||
11 | 43 | Monsters | - | Senators | - | |||||
13 | 51 | Senators | - | Monsters | - |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 0% | 0% |
Assistance PCT | 0% | 0% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
41 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
0$ | 2,240,000$ | 2,240,000$ | 0$0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 13 | 0$ | 0$ |
# | Nom du joueur | 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 |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Année | 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 |
# | Nom du joueur | 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 |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|