Barracuda | |
GP: 10 | W: 3 | L: 6 | OTL: 1 | P: 7 GF: 22 | GA: 32 | PP%: 14.52% | PK%: 80.33% DG: Alex Landry | Morale : 50 | Moyenne d’équipe : N/A |
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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 | AJ Greer | 0 | X | X | 100.00 | 82 | 99 | 51 | 77 | 82 | 54 | 79 | 60 | 55 | 60 | 58 | 68 | 25 | 57 | 57 | 63 | 50 | 0 | 0 | 26 | 4 | 762,500$ | |||
2 | Brayden Burke | 0 | X | X | X | 100.00 | 68 | 60 | 87 | 62 | 60 | 49 | 46 | 61 | 76 | 59 | 58 | 60 | 55 | 44 | 44 | 60 | 50 | 0 | 0 | 26 | 4 | 750,000$ | ||
3 | Brett Seney | 0 | X | X | 100.00 | 65 | 61 | 73 | 77 | 61 | 78 | 81 | 67 | 80 | 63 | 65 | 62 | 62 | 51 | 51 | 67 | 50 | 0 | 0 | 27 | 3 | 750,000$ | |||
4 | Beck Malenstyn (R) | 0 | X | X | 100.00 | 78 | 76 | 83 | 68 | 76 | 74 | 80 | 52 | 65 | 45 | 54 | 63 | 51 | 44 | 44 | 59 | 50 | 0 | 0 | 25 | 1 | 750,000$ | |||
5 | Danton Heinen | 0 | X | X | 100.00 | 77 | 43 | 93 | 80 | 69 | 57 | 88 | 65 | 35 | 67 | 62 | 71 | 25 | 69 | 70 | 69 | 50 | 0 | 0 | 28 | 3 | 1,110,000$ | |||
6 | Filip Zadina | 0 | X | X | 100.00 | 69 | 42 | 89 | 80 | 68 | 65 | 70 | 68 | 34 | 61 | 59 | 69 | 25 | 62 | 62 | 65 | 50 | 0 | 0 | 23 | 3 | 1,744,167$ | |||
7 | Jordan Greenway | 0 | X | X | 100.00 | 82 | 46 | 87 | 80 | 86 | 65 | 79 | 60 | 29 | 58 | 59 | 67 | 25 | 67 | 68 | 65 | 50 | 0 | 0 | 26 | 4 | 3,000,000$ | |||
8 | Filip Cederqvist (R) | 0 | X | X | 100.00 | 73 | 69 | 82 | 66 | 69 | 64 | 68 | 51 | 50 | 50 | 47 | 60 | 45 | 44 | 44 | 55 | 50 | 0 | N | 0 | 23 | 1 | 850,000$ | ||
9 | Sam Steel | 0 | X | X | 100.00 | 69 | 42 | 90 | 81 | 67 | 69 | 84 | 66 | 79 | 73 | 68 | 67 | 25 | 65 | 65 | 71 | 50 | 0 | 0 | 25 | 1 | 874,125$ | |||
10 | Ozzy Wiesblatt (R) | 0 | X | 100.00 | 70 | 65 | 80 | 63 | 65 | 60 | 62 | 54 | 50 | 50 | 53 | 60 | 50 | 44 | 44 | 57 | 50 | 0 | 0 | 21 | 3 | 863,333$ | ||||
11 | Brett Leason | 0 | X | 100.00 | 67 | 43 | 91 | 70 | 80 | 59 | 78 | 59 | 34 | 56 | 60 | 67 | 25 | 55 | 56 | 63 | 50 | 0 | 0 | 24 | 2 | 775,000$ | ||||
12 | Shane Bowers (R) | 0 | X | 100.00 | 72 | 64 | 91 | 66 | 64 | 61 | 64 | 53 | 66 | 50 | 51 | 60 | 48 | 44 | 44 | 57 | 50 | 0 | 0 | 24 | 2 | 750,000$ | ||||
13 | Ian Mitchell (R) | 0 | X | 100.00 | 65 | 41 | 92 | 76 | 64 | 69 | 70 | 65 | 25 | 54 | 48 | 66 | 25 | 47 | 47 | 60 | 50 | 0 | 0 | 24 | 2 | 1,775,000$ | ||||
14 | Connor Clifton | 0 | X | 100.00 | 92 | 77 | 78 | 76 | 66 | 75 | 86 | 58 | 25 | 57 | 48 | 81 | 45 | 64 | 67 | 64 | 50 | 0 | 0 | 28 | 2 | 1,000,000$ | ||||
15 | Brandon Carlo | 0 | X | 100.00 | 82 | 59 | 85 | 84 | 81 | 77 | 94 | 61 | 25 | 52 | 48 | 95 | 25 | 71 | 74 | 67 | 50 | 0 | 0 | 26 | 1 | 2,850,000$ | ||||
16 | Noah Juulsen | 0 | X | 100.00 | 99 | 47 | 85 | 68 | 72 | 66 | 77 | 62 | 25 | 39 | 47 | 79 | 25 | 48 | 48 | 61 | 50 | 0 | 0 | 26 | 4 | 750,000$ | ||||
17 | Ronan Seeley (R) | 0 | X | 100.00 | 74 | 65 | 95 | 64 | 65 | 71 | 77 | 51 | 25 | 46 | 41 | 61 | 39 | 44 | 44 | 55 | 50 | 0 | 0 | 21 | 3 | 837,500$ | ||||
18 | Jared McIsaac (R) | 0 | X | 100.00 | 74 | 69 | 85 | 67 | 69 | 76 | 83 | 51 | 25 | 46 | 41 | 61 | 39 | 44 | 44 | 55 | 50 | 0 | 0 | 23 | 3 | 896,667$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Jordy Bellerive | 0 | X | 100.00 | 71 | 69 | 74 | 63 | 69 | 60 | 62 | 53 | 66 | 49 | 53 | 60 | 50 | 44 | 44 | 57 | 50 | 0 | 0 | 24 | 2 | 750,000$ | ||||
2 | Max Gildon (R) | 0 | X | 100.00 | 71 | 71 | 72 | 70 | 71 | 54 | 56 | 49 | 25 | 43 | 40 | 59 | 38 | 44 | 44 | 52 | 50 | 0 | 0 | 24 | 2 | 925,000$ | ||||
3 | Nikita Okhotiuk (R) | 0 | X | 100.00 | 67 | 71 | 56 | 67 | 71 | 62 | 66 | 48 | 25 | 39 | 42 | 57 | 40 | 45 | 45 | 51 | 50 | 0 | 0 | 23 | 3 | 905,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 75 | 61 | 82 | 72 | 70 | 65 | 74 | 58 | 44 | 53 | 52 | 66 | 37 | 52 | 53 | 61 | 50 | 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 gardien | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jaxson Stauber (R) | 0 | 100.00 | 49 | 53 | 66 | 70 | 48 | 49 | 50 | 55 | 49 | 49 | 30 | 44 | 44 | 50 | 50 | 0 | 0 | 24 | 1 | 2,950,000$ | |
2 | Spencer Martin (R) | 0 | 100.00 | 62 | 60 | 58 | 81 | 65 | 58 | 69 | 64 | 65 | 62 | 91 | 47 | 47 | 63 | 50 | 0 | N | 0 | 28 | 1 | 762,500$ |
Rayé | ||||||||||||||||||||||||
1 | Maxime Lagace (R) | 0 | 100.00 | 49 | 52 | 65 | 75 | 47 | 49 | 50 | 54 | 49 | 49 | 30 | 44 | 44 | 50 | 50 | 0 | 0 | 30 | 1 | 875,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 53 | 55 | 63 | 75 | 53 | 52 | 56 | 58 | 54 | 53 | 50 | 45 | 45 | 54 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Alain Nasreddine | 77 | 78 | 76 | 73 | 77 | 75 | 80 | CAN | 49 | 2 | 1,000,000$ |
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 |
# | 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 | Connor Clifton | Barracuda (SJS) | D | 10 | 1 | 6 | 7 | -2 | 23 | 5 | 25 | 11 | 9 | 4 | 8 | 11.11% | 7 | 207 | 20.79 | 0 | 4 | 4 | 7 | 42 | 0 | 0 | 0 | 0 | 41 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
2 | Brett Seney | Barracuda (SJS) | C/LW | 9 | 4 | 3 | 7 | 1 | 0 | 0 | 4 | 15 | 19 | 6 | 5 | 21.05% | 1 | 147 | 16.37 | 1 | 2 | 3 | 4 | 46 | 0 | 0 | 0 | 0 | 9 | 1 | 0 | 57.82% | 147 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
3 | Filip Zadina | Barracuda (SJS) | LW/RW | 10 | 4 | 3 | 7 | 0 | 0 | 0 | 3 | 4 | 17 | 5 | 15 | 23.53% | 0 | 185 | 18.53 | 2 | 1 | 3 | 7 | 47 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 40.00% | 15 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
4 | Noah Juulsen | Barracuda (SJS) | D | 9 | 1 | 5 | 6 | 1 | 14 | 0 | 27 | 6 | 7 | 2 | 4 | 14.29% | 4 | 145 | 16.12 | 1 | 0 | 1 | 3 | 15 | 0 | 0 | 0 | 0 | 11 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
5 | Ross Colton | Sharks | C/LW | 8 | 2 | 3 | 5 | -2 | 16 | 0 | 23 | 9 | 16 | 3 | 11 | 12.50% | 4 | 170 | 21.27 | 1 | 1 | 2 | 5 | 32 | 0 | 0 | 0 | 1 | 35 | 0 | 0 | 34.48% | 29 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
6 | Jordan Greenway | Barracuda (SJS) | LW/RW | 9 | 2 | 2 | 4 | -2 | 2 | 0 | 12 | 10 | 11 | 4 | 3 | 18.18% | 0 | 161 | 17.95 | 1 | 1 | 2 | 5 | 40 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 28.57% | 35 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Trevor van Riemsdyk | Sharks | D | 9 | 2 | 2 | 4 | -2 | 2 | 0 | 4 | 11 | 15 | 7 | 14 | 13.33% | 11 | 212 | 23.61 | 2 | 1 | 3 | 13 | 43 | 0 | 0 | 0 | 0 | 43 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
8 | Brett Leason | Barracuda (SJS) | RW | 9 | 1 | 3 | 4 | -2 | 4 | 0 | 2 | 4 | 18 | 4 | 8 | 5.56% | 1 | 144 | 16.03 | 0 | 2 | 2 | 3 | 28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.52% | 33 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
9 | Brayden Burke | Barracuda (SJS) | C/LW/RW | 9 | 1 | 2 | 3 | -2 | 4 | 0 | 7 | 8 | 10 | 3 | 6 | 10.00% | 0 | 130 | 14.46 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 13 | 0 | 1 | 57.14% | 14 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Beck Malenstyn | Barracuda (SJS) | C/LW | 10 | 1 | 2 | 3 | -1 | 14 | 0 | 17 | 11 | 5 | 0 | 9 | 20.00% | 1 | 152 | 15.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 43.80% | 137 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | AJ Greer | Barracuda (SJS) | LW/RW | 9 | 0 | 2 | 2 | 1 | 16 | 0 | 17 | 10 | 4 | 3 | 9 | 0% | 1 | 161 | 17.99 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 39.02% | 41 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Ian Mitchell | Barracuda (SJS) | D | 10 | 0 | 2 | 2 | 0 | 8 | 0 | 1 | 8 | 8 | 2 | 5 | 0% | 6 | 198 | 19.85 | 0 | 1 | 1 | 8 | 34 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Jared McIsaac | Barracuda (SJS) | D | 9 | 1 | 1 | 2 | -1 | 6 | 0 | 7 | 6 | 2 | 1 | 0 | 50.00% | 7 | 144 | 16.10 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
14 | Rasmus Sandin | Sharks | D | 8 | 1 | 1 | 2 | -4 | 16 | 0 | 25 | 13 | 8 | 0 | 3 | 12.50% | 5 | 186 | 23.35 | 1 | 1 | 2 | 8 | 40 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Ozzy Wiesblatt | Barracuda (SJS) | RW | 9 | 1 | 0 | 1 | -1 | 6 | 0 | 3 | 2 | 7 | 1 | 0 | 14.29% | 0 | 59 | 6.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Shane Pinto | Sharks | C | 2 | 0 | 0 | 0 | -1 | 2 | 0 | 2 | 7 | 9 | 1 | 4 | 0% | 1 | 47 | 23.64 | 0 | 0 | 0 | 3 | 7 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 65.31% | 49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Brandon Carlo | Barracuda (SJS) | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 0% | 0 | 23 | 23.98 | 0 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Danton Heinen | Barracuda (SJS) | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 4 | 1 | 1 | 0% | 0 | 19 | 19.92 | 0 | 0 | 0 | 2 | 5 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Ronan Seeley | Barracuda (SJS) | D | 1 | 0 | 0 | 0 | -1 | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 0% | 1 | 15 | 15.92 | 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 |
20 | Filip Cederqvist | Barracuda (SJS) | LW/RW | 7 | 0 | 0 | 0 | 0 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 13 | 1.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
21 | Sam Steel | Barracuda (SJS) | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 4 | 0% | 0 | 20 | 20.30 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 56.25% | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
22 | Jordy Bellerive | Barracuda (SJS) | C | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 2 | 0 | 1 | 0% | 0 | 29 | 3.64 | 0 | 0 | 0 | 1 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
23 | Shane Bowers | Barracuda (SJS) | C | 9 | 0 | 0 | 0 | -1 | 2 | 0 | 2 | 12 | 3 | 0 | 3 | 0% | 0 | 93 | 10.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.45% | 97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 167 | 22 | 37 | 59 | -20 | 146 | 10 | 189 | 154 | 175 | 48 | 114 | 12.57% | 50 | 2670 | 15.99 | 9 | 15 | 24 | 70 | 456 | 0 | 0 | 0 | 1 | 372 | 3 | 1 | 48.75% | 642 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | 0 | 1 | 1 | 3 | 2 | 5 |
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 | Maxime Lagace | Barracuda (SJS) | 8 | 2 | 4 | 1 | 0.863 | 2.70 | 444 | 0 | 0 | 20 | 146 | 0 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 1 | 0 |
2 | Jaxson Stauber | Barracuda (SJS) | 2 | 1 | 0 | 0 | 0.929 | 1.15 | 52 | 0 | 0 | 1 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0 |
3 | Spencer Martin | Barracuda (SJS) | 1 | 0 | 1 | 0 | 0.636 | 5.46 | 44 | 0 | 0 | 4 | 11 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 11 | 3 | 5 | 1 | 0.854 | 2.77 | 541 | 0 | 0 | 25 | 171 | 0 | 2 | 0 | 0 | 9 | 9 | 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 | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Waiver Possible | Contrat | Type | Salaire actuel | Salaire restant | Salaire moyen | Salaire moyen restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AJ Greer | Barracuda (SJS) | LW/RW | 26 | 1996-12-14 | No | 210 Lbs | 6 ft3 | No | No | No | No | 4 | Pro & Farm | 762,500$ | 762,500$ | 762,500$ | 762,500$ | 0$ | 0$ | No | 762,500$ | 762,500$ | 762,500$ | Lien | ||||||
Beck Malenstyn | Barracuda (SJS) | C/LW | 25 | 1998-02-04 | Yes | 200 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
Brandon Carlo | Barracuda (SJS) | D | 26 | 1996-11-25 | No | 212 Lbs | 6 ft5 | No | No | No | No | 1 | Pro & Farm | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | 0$ | 0$ | No | Lien | |||||||||
Brayden Burke (contrat à 1 volet) | Barracuda (SJS) | C/LW/RW | 26 | 1997-01-01 | No | 165 Lbs | 5 ft10 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | Lien | ||||||
Brett Leason | Barracuda (SJS) | RW | 24 | 1999-04-30 | No | 210 Lbs | 6 ft4 | No | No | No | No | 2 | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | Lien | ||||||||
Brett Seney | Barracuda (SJS) | C/LW | 27 | 1996-02-27 | No | 174 Lbs | 5 ft9 | No | No | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | |||||||
Connor Clifton | Barracuda (SJS) | D | 28 | 1995-04-28 | No | 175 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | Lien | ||||||||
Danton Heinen | Barracuda (SJS) | LW/RW | 28 | 1995-07-05 | No | 188 Lbs | 6 ft1 | No | No | No | No | 3 | Pro & Farm | 1,110,000$ | 1,110,000$ | 1,110,000$ | 1,110,000$ | 0$ | 0$ | No | 1,110,000$ | 1,110,000$ | Lien | |||||||
Filip Cederqvist | Barracuda (SJS) | LW/RW | 23 | 2000-08-23 | Yes | 187 Lbs | 6 ft1 | Yes | No | No | No | 1 | Pro & Farm | 850,000$ | 850,000$ | 850,000$ | 850,000$ | 0$ | 0$ | No | Lien | |||||||||
Filip Zadina | Barracuda (SJS) | LW/RW | 23 | 1999-11-27 | No | 189 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 1,744,167$ | 1,744,167$ | 1,744,167$ | 1,744,167$ | 0$ | 0$ | No | 1,744,167$ | 1,744,167$ | Lien | |||||||
Ian Mitchell | Barracuda (SJS) | D | 24 | 1999-01-18 | Yes | 175 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 1,775,000$ | 1,775,000$ | 1,775,000$ | 1,775,000$ | 0$ | 0$ | No | 1,775,000$ | Lien | ||||||||
Jared McIsaac | Barracuda (SJS) | D | 23 | 2000-03-27 | Yes | 189 Lbs | 6 ft1 | No | No | No | No | 3 | Pro & Farm | 896,667$ | 896,667$ | 896,667$ | 896,667$ | 0$ | 0$ | No | 896,667$ | 896,667$ | Lien | |||||||
Jaxson Stauber | Barracuda (SJS) | G | 24 | 1999-04-27 | Yes | 175 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | 0$ | 0$ | No | Lien | |||||||||
Jordan Greenway | Barracuda (SJS) | LW/RW | 26 | 1997-02-16 | No | 225 Lbs | 6 ft6 | No | No | No | No | 4 | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 0$ | 0$ | No | 3,000,000$ | 3,000,000$ | 3,000,000$ | Lien | ||||||
Jordy Bellerive | Barracuda (SJS) | C | 24 | 1999-05-02 | No | 195 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Max Gildon | Barracuda (SJS) | D | 24 | 1999-05-17 | Yes | 187 Lbs | 6 ft3 | No | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
Maxime Lagace | Barracuda (SJS) | G | 30 | 1993-01-12 | Yes | 190 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 875,000$ | 875,000$ | 875,000$ | 875,000$ | 0$ | 0$ | No | Lien | |||||||||
Nikita Okhotiuk | Barracuda (SJS) | D | 23 | 2000-04-12 | Yes | 198 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 905,000$ | 905,000$ | 905,000$ | 905,000$ | 0$ | 0$ | No | 905,000$ | 905,000$ | Lien | |||||||
Noah Juulsen | Barracuda (SJS) | D | 26 | 1997-04-02 | No | 193 Lbs | 6 ft2 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | Lien | ||||||
Ozzy Wiesblatt | Barracuda (SJS) | RW | 21 | 2002-09-03 | Yes | 183 Lbs | 5 ft10 | No | No | No | No | 3 | Pro & Farm | 863,333$ | 863,333$ | 863,333$ | 863,333$ | 0$ | 0$ | No | 863,333$ | 863,333$ | ||||||||
Ronan Seeley | Barracuda (SJS) | D | 21 | 2002-02-08 | Yes | 176 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 837,500$ | 837,500$ | 837,500$ | 837,500$ | 0$ | 0$ | No | 837,500$ | 837,500$ | ||||||||
Sam Steel | Barracuda (SJS) | C/LW | 25 | 1998-02-03 | No | 189 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 874,125$ | 874,125$ | 874,125$ | 874,125$ | 0$ | 0$ | No | Lien | |||||||||
Shane Bowers | Barracuda (SJS) | C | 24 | 1999-07-30 | Yes | 170 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Spencer Martin | Barracuda (SJS) | G | 28 | 1995-06-08 | Yes | 205 Lbs | 6 ft3 | Yes | No | No | No | 1 | Pro & Farm | 762,500$ | 762,500$ | 762,500$ | 762,500$ | 0$ | 0$ | No | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
24 | 24.96 | 190 Lbs | 6 ft1 | 2.33 | 1,177,325$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Danton Heinen | Sam Steel | Jordan Greenway | 35 | 1 | 2 | 2 |
2 | Filip Zadina | Brett Seney | AJ Greer | 30 | 1 | 2 | 2 |
3 | Brayden Burke | Beck Malenstyn | Brett Leason | 25 | 1 | 2 | 2 |
4 | Filip Cederqvist | Shane Bowers | Ozzy Wiesblatt | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Brandon Carlo | Connor Clifton | 35 | 1 | 2 | 2 | |
2 | Noah Juulsen | Ian Mitchell | 30 | 1 | 2 | 2 | |
3 | Jared McIsaac | Ronan Seeley | 25 | 1 | 2 | 2 | |
4 | Brandon Carlo | Connor Clifton | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Danton Heinen | Sam Steel | Jordan Greenway | 60 | 1 | 2 | 2 |
2 | Filip Zadina | Brett Seney | AJ Greer | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Brandon Carlo | Connor Clifton | 60 | 1 | 2 | 2 | |
2 | Noah Juulsen | Ian Mitchell | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Danton Heinen | Sam Steel | 60 | 1 | 2 | 2 |
2 | Jordan Greenway | Filip Zadina | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Brandon Carlo | Connor Clifton | 60 | 1 | 2 | 2 |
2 | Noah Juulsen | Ian Mitchell | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Danton Heinen | 60 | 1 | 2 | 2 | Brandon Carlo | Connor Clifton | 60 | 1 | 2 | 2 |
2 | Sam Steel | 40 | 1 | 2 | 2 | Noah Juulsen | Ian Mitchell | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Danton Heinen | Sam Steel | 60 | 1 | 2 | 2 |
2 | Jordan Greenway | Filip Zadina | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Brandon Carlo | Connor Clifton | 60 | 1 | 2 | 2 |
2 | Noah Juulsen | Ian Mitchell | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Danton Heinen | Sam Steel | Jordan Greenway | Brandon Carlo | Connor Clifton |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Danton Heinen | Sam Steel | Jordan Greenway | Brandon Carlo | Connor Clifton |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Brett Leason, Beck Malenstyn, Brayden Burke | Brett Leason, Beck Malenstyn | Brayden Burke |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Jared McIsaac, Ronan Seeley, Noah Juulsen | Jared McIsaac | Ronan Seeley, Noah Juulsen |
Tirs de pénalité |
---|
Danton Heinen, Sam Steel, Jordan Greenway, Filip Zadina, Brett Seney |
Gardien |
---|
#1 : Spencer Martin, #2 : Jaxson Stauber |
Lignes d’attaque personnalisées en prolongation |
---|
Danton Heinen, Sam Steel, Jordan Greenway, Filip Zadina, Brett Seney, AJ Greer, AJ Greer, Brett Leason, Beck Malenstyn, Brayden Burke, Ozzy Wiesblatt |
Lignes de défense personnalisées en prolongation |
---|
Brandon Carlo, Connor Clifton, Noah Juulsen, Ian Mitchell, Jared McIsaac |
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 | Condors | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 8 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 10 | 6 | 6 | 0 | 41 | 70 | 64 | 46 | 1 | 48 | 9 | 30 | 49 | 9 | 4 | 44.44% | 14 | 3 | 78.57% | 0 | 138 | 281 | 49.11% | 118 | 268 | 44.03% | 67 | 147 | 45.58% | 230 | 151 | 246 | 77 | 125 | 61 |
2 | Gulls | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 10 | 6 | 6 | 0 | 41 | 70 | 64 | 46 | 1 | 33 | 8 | 27 | 35 | 15 | 1 | 6.67% | 9 | 0 | 100.00% | 0 | 138 | 281 | 49.11% | 118 | 268 | 44.03% | 67 | 147 | 45.58% | 230 | 151 | 246 | 77 | 125 | 61 |
3 | Heat | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 10 | 6 | 6 | 0 | 24 | 70 | 64 | 46 | 1 | 45 | 13 | 46 | 35 | 11 | 1 | 9.09% | 21 | 4 | 80.95% | 0 | 138 | 281 | 49.11% | 118 | 268 | 44.03% | 67 | 147 | 45.58% | 230 | 151 | 246 | 77 | 125 | 61 |
4 | Monarchs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 4 | 5 | 9 | 0 | 0 | 10 | 6 | 6 | 0 | 36 | 70 | 64 | 46 | 1 | 41 | 15 | 25 | 33 | 9 | 2 | 22.22% | 9 | 3 | 66.67% | 0 | 138 | 281 | 49.11% | 118 | 268 | 44.03% | 67 | 147 | 45.58% | 230 | 151 | 246 | 77 | 125 | 61 |
5 | Moose | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 10 | 6 | 6 | 0 | 39 | 70 | 64 | 46 | 1 | 30 | 8 | 18 | 39 | 18 | 1 | 5.56% | 8 | 2 | 75.00% | 0 | 138 | 281 | 49.11% | 118 | 268 | 44.03% | 67 | 147 | 45.58% | 230 | 151 | 246 | 77 | 125 | 61 |
Total | 10 | 3 | 6 | 0 | 0 | 1 | 0 | 0 | 22 | 32 | -10 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 5 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 14 | 22 | -8 | 7 | 0.350 | 22 | 37 | 59 | 0 | 0 | 10 | 6 | 6 | 0 | 181 | 70 | 64 | 46 | 1 | 197 | 53 | 146 | 191 | 62 | 9 | 14.52% | 61 | 12 | 80.33% | 0 | 138 | 281 | 49.11% | 118 | 268 | 44.03% | 67 | 147 | 45.58% | 230 | 151 | 246 | 77 | 125 | 61 | |
_Since Last GM Reset | 10 | 3 | 6 | 0 | 0 | 1 | 0 | 0 | 22 | 32 | -10 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 5 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 14 | 22 | -8 | 7 | 0.350 | 22 | 37 | 59 | 0 | 0 | 10 | 6 | 6 | 0 | 181 | 70 | 64 | 46 | 1 | 197 | 53 | 146 | 191 | 62 | 9 | 14.52% | 61 | 12 | 80.33% | 0 | 138 | 281 | 49.11% | 118 | 268 | 44.03% | 67 | 147 | 45.58% | 230 | 151 | 246 | 77 | 125 | 61 | |
_Vs Conference | 8 | 2 | 5 | 0 | 0 | 1 | 0 | 0 | 19 | 28 | -9 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 13 | 19 | -6 | 5 | 0.313 | 19 | 33 | 52 | 0 | 0 | 10 | 6 | 6 | 0 | 157 | 70 | 64 | 46 | 1 | 152 | 40 | 100 | 156 | 51 | 8 | 15.69% | 40 | 8 | 80.00% | 0 | 138 | 281 | 49.11% | 118 | 268 | 44.03% | 67 | 147 | 45.58% | 230 | 151 | 246 | 77 | 125 | 61 | |
_Vs Division | 10 | 2 | 5 | 0 | 0 | 1 | 0 | 0 | 22 | 32 | -10 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 5 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 14 | 22 | -8 | 5 | 0.250 | 22 | 37 | 59 | 0 | 0 | 10 | 6 | 6 | 0 | 181 | 70 | 64 | 46 | 1 | 197 | 53 | 146 | 191 | 62 | 9 | 14.52% | 61 | 12 | 80.33% | 0 | 138 | 281 | 49.11% | 118 | 268 | 44.03% | 67 | 147 | 45.58% | 230 | 151 | 246 | 77 | 125 | 61 |
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 |
10 | 7 | L1 | 22 | 37 | 59 | 181 | 197 | 53 | 146 | 191 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 3 | 6 | 0 | 1 | 0 | 0 | 22 | 32 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 2 | 3 | 0 | 0 | 0 | 0 | 8 | 10 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 1 | 3 | 0 | 1 | 0 | 0 | 14 | 22 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 6 | 0 | 1 | 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 |
---|---|---|---|---|---|---|
62 | 9 | 14.52% | 61 | 12 | 80.33% | 0 |
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 |
---|---|---|---|---|---|---|---|
70 | 64 | 46 | 1 | 10 | 6 | 6 | 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 |
138 | 281 | 49.11% | 118 | 268 | 44.03% | 67 | 147 | 45.58% |
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 |
230 | 151 | 246 | 77 | 125 | 61 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
1 | 2 | Barracuda | 2 | Monarchs | 7 | AL | Sommaire du match | |||
2 | 13 | Condors | 2 | Barracuda | 1 | BL | Sommaire du match | |||
3 | 28 | Moose | 2 | Barracuda | 0 | BL | Sommaire du match | |||
4 | 32 | Barracuda | 1 | Heat | 3 | AL | Sommaire du match | |||
5 | 45 | Barracuda | 4 | Gulls | 2 | AW | Sommaire du match | |||
7 | 57 | Monarchs | 4 | Barracuda | 2 | BL | Sommaire du match | |||
8 | 73 | Heat | 1 | Barracuda | 2 | BW | Sommaire du match | |||
9 | 79 | Barracuda | 5 | Condors | 6 | AL | X | Sommaire du match | ||
12 | 96 | Gulls | 1 | Barracuda | 3 | BW | Sommaire du match | |||
13 | 105 | Barracuda | 2 | Moose | 4 | AL | Sommaire du match |
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 | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
31 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 2,750,579$ | 2,750,579$ | 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$ | 0 | 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 |
---|