Abbotsford Canucks
Belleville Senators
Bridgeport Islanders
Charlotte Checkers
Cleveland Monsters
Hartford Wolf Pack
Hershey Bears
Laval Rocket
Lehigh Valley Phantoms
Providence Bruins
Rochester Americans
Springfield Thunderbirds
Syracuse Crunch
Toronto Marlies
Utica Comets
Wilkes Barre Scranton Penguins
| Utica Comets |
| GP: 5 | W: 2 | L: 3 GF: 18 | GA: 24 | PP%: 8.33% | PK%: 87.50% DG: Ron Holmes | Morale : 60 | Moyenne d’équipe : 51 Prochains matchs #42 vs Belleville Senators |
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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 | Carsen Twarynski | 42 | X | X | 100.00 | 55 | 57 | 64 | 60 | 65 | 68 | 66 | 57 | 55 | 56 | 59 | 63 | 54 | 62 | 57 | 0 | 60 | 60 | 0 | 26 | 1 | 750,000$ | |||
| 2 | Daniel Torgersson | 91 | X | 100.00 | 55 | 54 | 67 | 58 | 67 | 63 | 62 | 56 | 55 | 55 | 57 | 59 | 54 | 53 | 52 | 0 | 60 | 58 | 0 | 22 | 1 | 750,000$ | ||||
| 3 | Matej Pekar | 44 | X | 100.00 | 55 | 54 | 67 | 56 | 62 | 59 | 58 | 55 | 66 | 55 | 54 | 60 | 54 | 56 | 54 | 0 | 60 | 57 | 0 | 24 | 1 | 750,000$ | ||||
| 4 | Isak Rosen | 70 | X | 100.00 | 51 | 51 | 64 | 58 | 55 | 64 | 61 | 57 | 52 | 55 | 56 | 56 | 51 | 49 | 48 | 0 | 60 | 56 | 0 | 21 | 1 | 750,000$ | ||||
| 5 | Ville Koivunen | 71 | X | 100.00 | 52 | 51 | 65 | 52 | 55 | 53 | 53 | 51 | 67 | 51 | 51 | 57 | 51 | 49 | 48 | 0 | 60 | 53 | 0 | 20 | 1 | 750,000$ | ||||
| 6 | Julian Lutz (R) | 88 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
| 7 | Logan Cooley (R) | 90 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | ||||
| 8 | Matyas Sapovaliv (R) | 87 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
| 9 | Danil Yurov (R) | 92 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
| 10 | Nathan Gaucher (R) | 93 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
| 11 | Jared McIsaac | 72 | X | 100.00 | 55 | 54 | 66 | 59 | 63 | 66 | 64 | 58 | 40 | 58 | 55 | 58 | 54 | 56 | 54 | 0 | 60 | 58 | 0 | 24 | 1 | 750,000$ | ||||
| 12 | Adam Ginning | 73 | X | 100.00 | 53 | 51 | 60 | 55 | 65 | 64 | 62 | 54 | 38 | 54 | 52 | 62 | 51 | 54 | 51 | 0 | 60 | 57 | 0 | 24 | 2 | 883,750$ | ||||
| 13 | Artyom Grushnikov | 80 | X | 100.00 | 51 | 51 | 65 | 51 | 61 | 51 | 51 | 51 | 38 | 51 | 51 | 57 | 51 | 49 | 48 | 0 | 60 | 53 | 0 | 21 | 1 | 750,000$ | ||||
| 14 | Michael Benning (R) | 0 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 22 | 3 | 750,000$ | ||||
| 15 | Filip Westerlund (R) | 22 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 25 | 4 | 750,000$ | ||||
| 16 | Pavel Mintyukov (R) | 74 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
| Rayé | ||||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 49 | 49 | 55 | 51 | 53 | 53 | 52 | 50 | 48 | 50 | 50 | 52 | 49 | 49 | 48 | 0 | 60 | 51 | |||||||||||
| 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 | Olle Eriksson Ek | 32 | 100.00 | 56 | 60 | 60 | 69 | 65 | 56 | 64 | 60 | 59 | 58 | 64 | 58 | 54 | 0 | 60 | 60 | 0 | 24 | 1 | 750,000$ | |
| 2 | Topias Leinonen (R) | 38 | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | |
| Rayé | ||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 51 | 53 | 53 | 57 | 55 | 51 | 55 | 53 | 52 | 52 | 55 | 52 | 50 | 0 | 60 | 53 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bill Guerin | 75 | 75 | 75 | 75 | 75 | 75 | 75 | USA | 53 | 5 | 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 | Isak Rosen | Utica Comets (NJD) | RW | 5 | 2 | 3 | 5 | 1 | 0 | 0 | 8 | 8 | 23 | 8 | 8 | 8.70% | 2 | 80 | 16.11 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 44.44% | 9 | 0 | 0 | 0 | 0 | 1.24 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
| 2 | Logan Cooley | Utica Comets (NJD) | C | 5 | 1 | 1 | 2 | 1 | 0 | 0 | 13 | 3 | 6 | 0 | 5 | 16.67% | 0 | 65 | 13.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 10 | 3 | 4 | 7 | 2 | 0 | 0 | 21 | 11 | 29 | 8 | 13 | 10.34% | 2 | 146 | 14.64 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 37.50% | 16 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | 0 | 0 | 0 | 2 | 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 |
|---|
| 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 | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Type | Salaire actuel | Plafond salarial Non Activé | 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 | 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 Ginning | Utica Comets (NJD) | D | 24 | 01/13/00 | No | 196 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro & Farm | 883,750$ | 0$ | 0$ | No | 883,750$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
| Artyom Grushnikov | Utica Comets (NJD) | D | 21 | 03/20/03 | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Carsen Twarynski | Utica Comets (NJD) | LW/RW | 26 | 11/24/97 | No | 198 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Daniel Torgersson | Utica Comets (NJD) | LW | 22 | 01/26/02 | No | 205 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Danil Yurov | Utica Comets (NJD) | RW | 20 | 12/22/03 3:05:24 AM | Yes | 178 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Filip Westerlund | Utica Comets (NJD) | D | 25 | 04/17/99 | Yes | 174 Lbs | 5 ft11 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Isak Rosen | Utica Comets (NJD) | RW | 21 | 03/15/03 | No | 174 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Jared McIsaac | Utica Comets (NJD) | D | 24 | 03/27/00 | No | 192 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Julian Lutz | Utica Comets (NJD) | LW | 20 | 02/28/04 3:15:41 AM | Yes | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Logan Cooley | Utica Comets (NJD) | C | 19 | 05/04/04 2:42:32 AM | Yes | 174 Lbs | 5 ft10 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Matej Pekar | Utica Comets (NJD) | C | 24 | 02/10/00 | No | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Matyas Sapovaliv | Utica Comets (NJD) | C | 20 | 02/24/04 3:30:03 AM | Yes | 183 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Michael Benning | Utica Comets (NJD) | D | 22 | 01/05/02 2:20:42 AM | Yes | 181 Lbs | 5 ft9 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Nathan Gaucher | Utica Comets (NJD) | C | 20 | 11/06/03 3:18:48 AM | Yes | 207 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Olle Eriksson Ek | Utica Comets (NJD) | G | 24 | 06/22/99 | No | 189 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
| Pavel Mintyukov | Utica Comets (NJD) | D | 20 | 11/25/03 2:55:02 AM | Yes | 197 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Topias Leinonen | Utica Comets (NJD) | G | 20 | 01/25/04 4:45:33 AM | Yes | 234 Lbs | 6 ft5 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Ville Koivunen | Utica Comets (NJD) | LW | 20 | 06/13/03 | No | 172 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 18 | 21.78 | 190 Lbs | 6 ft1 | 2.50 | 757,431$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 30 | 1 | 2 | 2 | |||
| 2 | Isak Rosen | 30 | 1 | 2 | 2 | ||
| 3 | Logan Cooley | 25 | 1 | 2 | 2 | ||
| 4 | 15 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 30 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 15 | 1 | 2 | 2 | |||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | Isak Rosen | 40 | 1 | 2 | 2 | ||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 | |||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Tirs de pénalité |
|---|
| , , , , |
| Gardien |
|---|
| #1 : , #2 : |
| Lignes d’attaque personnalisées en prolongation |
|---|
| , , , , , , , Logan Cooley, , , Isak Rosen |
| Lignes de défense personnalisées en prolongation |
|---|
| , , , , |
| 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 | Belleville Senators | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 4 | 0.400 | 18 | 34 | 52 | 0 | 0 | 11 | 5 | 2 | 0 | 239 | 85 | 74 | 80 | 0 | 210 | 53 | 18 | 126 | 12 | 1 | 8.33% | 8 | 1 | 87.50% | 0 | 107 | 235 | 45.53% | 93 | 184 | 50.54% | 35 | 89 | 39.33% | 113 | 78 | 124 | 36 | 62 | 30 |
| Total | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 4 | 0.400 | 18 | 34 | 52 | 0 | 0 | 11 | 5 | 2 | 0 | 239 | 85 | 74 | 80 | 0 | 210 | 53 | 18 | 126 | 12 | 1 | 8.33% | 8 | 1 | 87.50% | 0 | 107 | 235 | 45.53% | 93 | 184 | 50.54% | 35 | 89 | 39.33% | 113 | 78 | 124 | 36 | 62 | 30 | |
| _Since Last GM Reset | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 4 | 0.400 | 18 | 34 | 52 | 0 | 0 | 11 | 5 | 2 | 0 | 239 | 85 | 74 | 80 | 0 | 210 | 53 | 18 | 126 | 12 | 1 | 8.33% | 8 | 1 | 87.50% | 0 | 107 | 235 | 45.53% | 93 | 184 | 50.54% | 35 | 89 | 39.33% | 113 | 78 | 124 | 36 | 62 | 30 | |
| _Vs Conference | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 4 | 0.400 | 18 | 34 | 52 | 0 | 0 | 11 | 5 | 2 | 0 | 239 | 85 | 74 | 80 | 0 | 210 | 53 | 18 | 126 | 12 | 1 | 8.33% | 8 | 1 | 87.50% | 0 | 107 | 235 | 45.53% | 93 | 184 | 50.54% | 35 | 89 | 39.33% | 113 | 78 | 124 | 36 | 62 | 30 | |
| 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 |
| 5 | 4 | L3 | 18 | 34 | 52 | 239 | 210 | 53 | 18 | 126 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 5 | 2 | 3 | 0 | 0 | 0 | 0 | 18 | 24 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 3 | 2 | 1 | 0 | 0 | 0 | 0 | 11 | 11 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 2 | 0 | 2 | 0 | 0 | 0 | 0 | 7 | 13 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 2 | 3 | 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 |
|---|---|---|---|---|---|---|
| 12 | 1 | 8.33% | 8 | 1 | 87.50% | 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 |
|---|---|---|---|---|---|---|---|
| 85 | 74 | 80 | 0 | 11 | 5 | 2 | 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 |
| 107 | 235 | 45.53% | 93 | 184 | 50.54% | 35 | 89 | 39.33% |
| 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 |
| 113 | 78 | 124 | 36 | 62 | 30 |
| 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 - 2024-04-19 | 2 | Belleville Senators | 2 | Utica Comets | 4 | BW | Sommaire du match | |||
| 3 - 2024-04-21 | 10 | Belleville Senators | 3 | Utica Comets | 5 | BW | Sommaire du match | |||
| 5 - 2024-04-23 | 18 | Utica Comets | 3 | Belleville Senators | 5 | AL | Sommaire du match | |||
| 7 - 2024-04-25 | 26 | Utica Comets | 4 | Belleville Senators | 8 | AL | Sommaire du match | |||
| 9 - 2024-04-27 | 34 | Belleville Senators | 6 | Utica Comets | 2 | BL | Sommaire du match | |||
| 11 - 2024-04-29 | 42 | Utica Comets | - | Belleville Senators | - | |||||
| 13 - 2024-05-01 | 50 | Belleville Senators | - | Utica Comets | - |
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 4500 | 3500 |
| Prix des billets | 35 | 0 |
| Assistance | 13,500 | 10,500 |
| Assistance PCT | 100.00% | 100.00% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 31 | 8000 - 100.00% | 157,500$ | 472,500$ | 8000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 1,363,375$ | 688,375$ | 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$ | 4 | 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 |
|---|
Bakersfield Condors
Calgary Wranglers
Chicago Wolves
Coachella Valley Firebirds
Colorado Eagles
Grand Rapids Griffins
Henderson Silver Knights
Iowa Wild
Manitoba Moose
Milwaukee Admirals
Ontario Reign
Rockford IceHogs
San Diego Gulls
San Jose Barracuda
Texas Stars
Tucson Roadrunners
