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 | Nolan Patrick | 0 | X | 100.00 | 67 | 41 | 76 | 70 | 80 | 83 | 85 | 69 | 84 | 70 | 67 | 60 | 68 | 56 | 52 | 91 | 99 | 70 | 0 | 21 | 1 | 925,000$ | ||||
2 | Alex Formenton | 0 | X | 100.00 | 56 | 56 | 78 | 68 | 73 | 87 | 88 | 64 | 57 | 60 | 63 | 59 | 62 | 61 | 63 | 72 | 99 | 68 | 0 | 20 | 5 | 750,000$ | ||||
3 | Matt Puempel | 0 | X | 100.00 | 62 | 45 | 89 | 64 | 78 | 82 | 79 | 62 | 57 | 61 | 61 | 63 | 65 | 73 | 67 | 69 | 99 | 68 | 0 | 27 | 2 | 750,000$ | ||||
4 | Sam Bennett | 0 | X | 100.00 | 83 | 55 | 67 | 65 | 76 | 73 | 82 | 64 | 71 | 62 | 66 | 57 | 65 | 67 | 64 | 86 | 99 | 68 | 0 | 24 | 1 | 2,400,000$ | ||||
5 | Mike Vecchione | 0 | X | 100.00 | 55 | 47 | 89 | 60 | 69 | 88 | 89 | 61 | 66 | 58 | 59 | 56 | 61 | 73 | 67 | 58 | 99 | 67 | 0 | 27 | 2 | 750,000$ | ||||
6 | Sam Anas | 0 | X | X | 100.00 | 57 | 37 | 83 | 65 | 61 | 87 | 88 | 63 | 68 | 64 | 58 | 56 | 63 | 73 | 67 | 58 | 99 | 67 | 0 | 27 | 1 | 750,000$ | |||
7 | Michael McLeod | 0 | X | 100.00 | 64 | 49 | 85 | 62 | 78 | 82 | 76 | 63 | 77 | 61 | 58 | 64 | 59 | 63 | 62 | 85 | 99 | 67 | 0 | 22 | 2 | 750,000$ | ||||
8 | Kurtis Gabriel | 0 | X | 100.00 | 72 | 57 | 73 | 60 | 86 | 75 | 77 | 58 | 50 | 56 | 57 | 59 | 60 | 73 | 67 | 54 | 99 | 66 | 0 | 27 | 6 | 750,000$ | ||||
9 | Andrew Poturalski | 0 | X | 100.00 | 56 | 45 | 88 | 59 | 70 | 80 | 82 | 58 | 63 | 62 | 57 | 56 | 60 | 71 | 66 | 59 | 99 | 65 | 0 | 26 | 1 | 750,000$ | ||||
10 | Calle Rosen | 0 | X | 100.00 | 64 | 43 | 86 | 61 | 75 | 84 | 77 | 59 | 30 | 62 | 58 | 60 | 54 | 71 | 66 | 51 | 99 | 67 | 0 | 26 | 2 | 750,000$ | ||||
11 | Timothy Liljegren (R) | 0 | X | 100.00 | 71 | 45 | 89 | 62 | 74 | 73 | 72 | 63 | 30 | 61 | 57 | 64 | 55 | 61 | 64 | 83 | 99 | 66 | 0 | 21 | 3 | 750,000$ | ||||
12 | Josh Mahura | 0 | X | 100.00 | 59 | 43 | 88 | 66 | 72 | 82 | 75 | 63 | 30 | 61 | 57 | 58 | 54 | 63 | 61 | 66 | 99 | 66 | 0 | 22 | 2 | 750,000$ | ||||
13 | Daniel Brickley | 0 | X | 100.00 | 64 | 43 | 86 | 59 | 84 | 79 | 72 | 58 | 30 | 57 | 56 | 60 | 53 | 69 | 65 | 59 | 99 | 65 | 0 | 25 | 2 | 750,000$ | ||||
14 | Jimmy Schuldt | 0 | X | 100.00 | 62 | 51 | 82 | 60 | 75 | 85 | 84 | 58 | 30 | 57 | 54 | 56 | 47 | 69 | 65 | 61 | 99 | 65 | 0 | 25 | 2 | 750,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 64 | 47 | 83 | 63 | 75 | 81 | 80 | 62 | 53 | 61 | 59 | 59 | 59 | 67 | 64 | 68 | 99 | 67 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Rayé | ||||||||||||||||||||
MOYENNE D'ÉQUIPE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Dean Evason | 71 | 72 | 74 | 73 | 78 | 78 | 58 | CAN | 57 | 3 | 100,000$ |
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 | Alex Formenton | BELLEVILLE Senators (OTW) | LW | 2 | 2 | 2 | 4 | 2 | 2 | 0 | 2 | 2 | 6 | 4 | 17 | 33.33% | 2 | 27 | 13.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 2.95 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
2 | Mike Vecchione | BELLEVILLE Senators (OTW) | C | 2 | 2 | 2 | 4 | 2 | 0 | 0 | 2 | 1 | 8 | 4 | 7 | 25.00% | 0 | 26 | 13.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.85% | 27 | 2 | 1 | 0 | 0 | 3.06 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3 | Sam Anas | BELLEVILLE Senators (OTW) | C/RW | 2 | 1 | 3 | 4 | 1 | 0 | 0 | 1 | 0 | 13 | 6 | 11 | 7.69% | 1 | 34 | 17.05 | 1 | 1 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 4 | 1 | 0 | 0 | 0 | 2.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | Nolan Patrick | BELLEVILLE Senators (OTW) | C | 2 | 3 | 1 | 4 | 1 | 0 | 0 | 0 | 4 | 18 | 6 | 7 | 16.67% | 1 | 35 | 17.53 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56.67% | 30 | 2 | 0 | 0 | 0 | 2.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Josh Mahura | BELLEVILLE Senators (OTW) | D | 2 | 1 | 3 | 4 | 1 | 2 | 0 | 0 | 3 | 4 | 2 | 2 | 25.00% | 2 | 33 | 16.84 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 2.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Calle Rosen | BELLEVILLE Senators (OTW) | D | 2 | 0 | 3 | 3 | -1 | 4 | 0 | 2 | 2 | 4 | 3 | 4 | 0.00% | 8 | 58 | 29.10 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 1.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Matt Puempel | BELLEVILLE Senators (OTW) | LW | 2 | 1 | 1 | 2 | 0 | 2 | 0 | 1 | 0 | 13 | 2 | 13 | 7.69% | 0 | 20 | 10.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 1.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Timothy Liljegren | BELLEVILLE Senators (OTW) | D | 2 | 0 | 2 | 2 | 1 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0.00% | 0 | 33 | 16.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 1.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Sam Bennett | BELLEVILLE Senators (OTW) | C | 2 | 1 | 0 | 1 | -3 | 2 | 0 | 2 | 2 | 11 | 5 | 3 | 9.09% | 2 | 30 | 15.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 25 | 2 | 0 | 0 | 0 | 0.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Michael McLeod | BELLEVILLE Senators (OTW) | C | 2 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 0 | 6 | 5 | 4 | 0.00% | 0 | 20 | 10.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.62% | 21 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Daniel Brickley | BELLEVILLE Senators (OTW) | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 0 | 4 | 0.00% | 2 | 25 | 12.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Jimmy Schuldt | BELLEVILLE Senators (OTW) | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 0.00% | 4 | 27 | 13.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 24 | 11 | 18 | 29 | 4 | 14 | 0 | 13 | 21 | 87 | 41 | 73 | 12.64% | 22 | 373 | 15.55 | 2 | 2 | 4 | 6 | 7 | 0 | 0 | 0 | 1 | 13 | 1 | 0 | 50.93% | 108 | 9 | 4 | 0 | 0 | 1.55 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Stats d'équipe Total ou en Moyenne | 0.000 | 0.00 | 0 | 0.000 |
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 | Âge | Date de Naissance | Nouveau Joueur | Poids | Taille | Non-Échange | Disponible pour Échange | Ballotage Forcé | Contrat | Type | Salaire Actuel | Salaire Restant | Salaire Moyen | Salaire Moyen Restant | Cap Salariale | Cap Salariale Restant | Exclus du Cap 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 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Formenton | BELLEVILLE Senators (OTW) | LW | 20 | 9/13/1999 | No | 75 Kg | 188 CM | No | No | No | 5 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | 750,000$ | Lien | |||||
Andrew Poturalski | BELLEVILLE Senators (OTW) | C | 26 | 1/14/1994 | No | 86 Kg | 180 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | Lien | |||||||||
Calle Rosen | BELLEVILLE Senators (OTW) | D | 26 | 2/2/1994 | No | 85 Kg | 185 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 737,288$ | 500,000$ | 491,525$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Daniel Brickley | BELLEVILLE Senators (OTW) | D | 25 | 3/30/1995 | No | 92 Kg | 191 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 737,288$ | 500,000$ | 491,525$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Jimmy Schuldt | BELLEVILLE Senators (OTW) | D | 25 | 5/11/1995 | No | 92 Kg | 183 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 737,288$ | 500,000$ | 491,525$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Josh Mahura | BELLEVILLE Senators (OTW) | D | 22 | 5/5/1998 | No | 85 Kg | 183 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Kurtis Gabriel | BELLEVILLE Senators (OTW) | RW | 27 | 4/20/1993 | No | 91 Kg | 193 CM | No | No | No | 6 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 750,000$ | Lien | ||||
Matt Puempel | BELLEVILLE Senators (OTW) | LW | 27 | 1/24/1993 | No | 91 Kg | 185 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Michael McLeod | BELLEVILLE Senators (OTW) | C | 22 | 2/3/1998 | No | 85 Kg | 188 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 737,288$ | 500,000$ | 491,525$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Mike Vecchione | BELLEVILLE Senators (OTW) | C | 27 | 2/25/1993 | No | 88 Kg | 178 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 737,288$ | 500,000$ | 491,525$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Nolan Patrick | BELLEVILLE Senators (OTW) | C | 21 | 9/19/1998 | No | 90 Kg | 188 CM | No | No | No | 1 | Pro & Farm | 925,000$ | 909,322$ | 925,000$ | 909,322$ | 0$ | 0$ | No | Lien | |||||||||
Sam Anas | BELLEVILLE Senators (OTW) | C/RW | 27 | 6/1/1993 | No | 74 Kg | 173 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | Lien | |||||||||
Sam Bennett | BELLEVILLE Senators (OTW) | C | 24 | 6/20/1996 | No | 89 Kg | 185 CM | No | No | No | 1 | Pro & Farm | 2,400,000$ | 2,359,322$ | 2,400,000$ | 2,359,322$ | 0$ | 0$ | No | Lien | |||||||||
Timothy Liljegren | BELLEVILLE Senators (OTW) | D | 21 | 4/30/1999 | Yes | 90 Kg | 183 CM | No | No | No | 3 | Pro & Farm | 750,000$ | 737,288$ | 750,000$ | 737,288$ | 0$ | 0$ | No | 750,000$ | 750,000$ |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
14 | 24.29 | 87 Kg | 185 CM | 2.29 | 880,357$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Nolan Patrick | Sam Anas | 31 | 1 | 2 | 2 | |
2 | Sam Bennett | 26 | 1 | 2 | 2 | ||
3 | Alex Formenton | Mike Vecchione | 23 | 1 | 2 | 2 | |
4 | Matt Puempel | Michael McLeod | 20 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Calle Rosen | 31 | 1 | 2 | 2 | ||
2 | Josh Mahura | Timothy Liljegren | 26 | 1 | 2 | 2 | |
3 | Daniel Brickley | Jimmy Schuldt | 23 | 1 | 2 | 2 | |
4 | Calle Rosen | 20 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Nolan Patrick | Sam Anas | 55 | 1 | 2 | 2 | |
2 | Sam Bennett | 45 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Calle Rosen | 55 | 1 | 2 | 2 | ||
2 | Josh Mahura | Timothy Liljegren | 45 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | Nolan Patrick | Alex Formenton | 45 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Calle Rosen | 55 | 1 | 2 | 2 | |
2 | Josh Mahura | Timothy Liljegren | 45 | 1 | 2 | 2 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | Calle Rosen | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 | Josh Mahura | Timothy Liljegren | 45 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | Nolan Patrick | Alex Formenton | 45 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Calle Rosen | 55 | 1 | 2 | 2 | |
2 | Josh Mahura | Timothy Liljegren | 45 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Nolan Patrick | Sam Anas | Calle Rosen |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Nolan Patrick | Sam Anas | Calle Rosen |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Andrew Poturalski, Matt Puempel, Mike Vecchione | Andrew Poturalski, Matt Puempel | Mike Vecchione |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Daniel Brickley, Jimmy Schuldt, Josh Mahura | Daniel Brickley | Jimmy Schuldt, Josh Mahura |
Tirs de Pénalité |
---|
, , Nolan Patrick, Alex Formenton, Matt Puempel |
Gardien |
---|
#1 : , #2 : |
Lignes d'Attaque Perso. en Prol. |
---|
, , Nolan Patrick, Alex Formenton, Matt Puempel, Sam Bennett, Sam Bennett, Mike Vecchione, Michael McLeod, Sam Anas, |
Lignes de Défense Perso. en Prol. |
---|
, Calle Rosen, Josh Mahura, Timothy Liljegren, Daniel Brickley |
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 |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 | BINGHAMTON Devils | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 6 | 2 | 3 | 0 | 44 | 30 | 40 | 27 | 0 | 39 | 12 | 8 | 13 | 3 | 2 | 66.67% | 4 | 3 | 25.00% | 0 | 25 | 52 | 48.08% | 11 | 33 | 33.33% | 22 | 43 | 51.16% | 50 | 37 | 41 | 14 | 28 | 11 |
2 | CAROLINA Checkers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 9 | 16 | 25 | 0 | 0 | 6 | 2 | 3 | 0 | 53 | 30 | 40 | 27 | 0 | 26 | 14 | 10 | 11 | 0 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 25 | 52 | 48.08% | 11 | 33 | 33.33% | 22 | 43 | 51.16% | 50 | 37 | 41 | 14 | 28 | 11 |
Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 15 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 2 | 0.500 | 11 | 19 | 30 | 0 | 0 | 6 | 2 | 3 | 0 | 97 | 30 | 40 | 27 | 0 | 65 | 26 | 18 | 24 | 3 | 2 | 66.67% | 9 | 6 | 33.33% | 0 | 25 | 52 | 48.08% | 11 | 33 | 33.33% | 22 | 43 | 51.16% | 50 | 37 | 41 | 14 | 28 | 11 | |
_Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 15 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 2 | 0.500 | 11 | 19 | 30 | 0 | 0 | 6 | 2 | 3 | 0 | 97 | 30 | 40 | 27 | 0 | 65 | 26 | 18 | 24 | 3 | 2 | 66.67% | 9 | 6 | 33.33% | 0 | 25 | 52 | 48.08% | 11 | 33 | 33.33% | 22 | 43 | 51.16% | 50 | 37 | 41 | 14 | 28 | 11 | |
_Vs Conference | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 15 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 2 | 0.500 | 11 | 19 | 30 | 0 | 0 | 6 | 2 | 3 | 0 | 97 | 30 | 40 | 27 | 0 | 65 | 26 | 18 | 24 | 3 | 2 | 66.67% | 9 | 6 | 33.33% | 0 | 25 | 52 | 48.08% | 11 | 33 | 33.33% | 22 | 43 | 51.16% | 50 | 37 | 41 | 14 | 28 | 11 | |
_Vs Division | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 6 | 2 | 3 | 0 | 44 | 30 | 40 | 27 | 0 | 39 | 12 | 8 | 13 | 3 | 2 | 66.67% | 4 | 3 | 25.00% | 0 | 25 | 52 | 48.08% | 11 | 33 | 33.33% | 22 | 43 | 51.16% | 50 | 37 | 41 | 14 | 28 | 11 |
Total Pour les Joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs Joués | Points | Séquence | Buts | Passes | Points | Tirs Pour | Tirs Contre | Tirs Bloqués | Minutes de Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
2 | 2 | W1 | 11 | 19 | 30 | 97 | 65 | 26 | 18 | 24 | 0 | 0 |
Tous les Matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 11 | 15 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 |
Matchs Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 9 |
Derniers 10 Matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
1 | 1 | 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 |
---|---|---|---|---|---|---|
3 | 2 | 66.67% | 9 | 6 | 33.33% | 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 |
---|---|---|---|---|---|---|---|
30 | 40 | 27 | 0 | 6 | 2 | 3 | 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 |
25 | 52 | 48.08% | 11 | 33 | 33.33% | 22 | 43 | 51.16% |
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 |
50 | 37 | 41 | 14 | 28 | 11 |
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 |
Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité de l'Aréna | 2000 | 1000 |
Prix des Billets | 35 | 15 |
Assistance | 0 | 0 |
Assistance PCT | 0.00% | 0.00% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe |
39 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
20,890$ | 1,232,500$ | 1,107,500$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
0$ | 20,890$ | 0 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 116 | 10,445$ | 1,211,620$ |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Saison Régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
34 | 80 | 44 | 27 | 0 | 1 | 0 | 3 | 5 | 237 | 161 | 76 | 40 | 21 | 12 | 0 | 1 | 0 | 2 | 4 | 122 | 81 | 41 | 40 | 23 | 15 | 0 | 0 | 0 | 1 | 1 | 115 | 80 | 35 | 101 | 237 | 416 | 653 | 1 | 14 | 101 | 75 | 57 | 5 | 2690 | 861 | 857 | 941 | 59 | 2011 | 554 | 613 | 1426 | 271 | 49 | 18.08% | 267 | 42 | 84.27% | 2 | 1609 | 2743 | 58.66% | 1377 | 2369 | 58.13% | 695 | 1151 | 60.38% | 2129 | 1536 | 1724 | 553 | 986 | 511 |
34 | 80 | 44 | 27 | 0 | 1 | 0 | 3 | 5 | 237 | 161 | 76 | 40 | 21 | 12 | 0 | 1 | 0 | 2 | 4 | 122 | 81 | 41 | 40 | 23 | 15 | 0 | 0 | 0 | 1 | 1 | 115 | 80 | 35 | 101 | 237 | 416 | 653 | 1 | 14 | 101 | 75 | 57 | 5 | 2690 | 861 | 857 | 941 | 59 | 2011 | 554 | 613 | 1426 | 271 | 49 | 18.08% | 267 | 42 | 84.27% | 2 | 1609 | 2743 | 58.66% | 1377 | 2369 | 58.13% | 695 | 1151 | 60.38% | 2129 | 1536 | 1724 | 553 | 986 | 511 |
36 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 15 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 2 | 11 | 19 | 30 | 0 | 0 | 6 | 2 | 3 | 0 | 97 | 30 | 40 | 27 | 0 | 65 | 26 | 18 | 24 | 3 | 2 | 66.67% | 9 | 6 | 33.33% | 0 | 25 | 52 | 48.08% | 11 | 33 | 33.33% | 22 | 43 | 51.16% | 50 | 37 | 41 | 14 | 28 | 11 |
Total Saison Régulière | 162 | 89 | 55 | 0 | 2 | 0 | 6 | 10 | 485 | 337 | 148 | 81 | 43 | 24 | 0 | 2 | 0 | 4 | 8 | 253 | 168 | 85 | 81 | 46 | 31 | 0 | 0 | 0 | 2 | 2 | 232 | 169 | 63 | 204 | 485 | 851 | 1336 | 2 | 28 | 208 | 152 | 117 | 10 | 5477 | 1752 | 1754 | 1909 | 118 | 4087 | 1134 | 1244 | 2876 | 545 | 100 | 18.35% | 543 | 90 | 83.43% | 4 | 3243 | 5538 | 58.56% | 2765 | 4771 | 57.95% | 1412 | 2345 | 60.21% | 4310 | 3110 | 3490 | 1121 | 2000 | 1035 |
Séries | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
34 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 21 | -2 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 15 | -5 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 6 | 19 | 36 | 55 | 0 | 1 | 5 | 6 | 7 | 1 | 244 | 77 | 78 | 86 | 3 | 234 | 72 | 40 | 117 | 25 | 6 | 24.00% | 19 | 7 | 63.16% | 0 | 136 | 247 | 55.06% | 113 | 238 | 47.48% | 49 | 98 | 50.00% | 175 | 126 | 173 | 46 | 85 | 43 |
Total Séries | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 21 | -2 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 15 | -5 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 6 | 19 | 36 | 55 | 0 | 1 | 5 | 6 | 7 | 1 | 244 | 77 | 78 | 86 | 3 | 234 | 72 | 40 | 117 | 25 | 6 | 24.00% | 19 | 7 | 63.16% | 0 | 136 | 247 | 55.06% | 113 | 238 | 47.48% | 49 | 98 | 50.00% | 175 | 126 | 173 | 46 | 85 | 43 |