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Utica Comets
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Andri | Morale : 40 | Moyenne d’équipe : 60
Prochains matchs #5 vs Cleveland Monsters
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Utica Comets
0-0-0, 0pts
Jour 1
Cleveland Monsters
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Belleville Senators
0-0-0, 0pts
Jour 3
Utica Comets
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Utica Comets
0-0-0, 0pts
Jour 4
Rochester Americans
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralAndri
EntraîneurKevin Dineen
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 70
Espoirs19


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire moyen
1Chris Tierney0X100.00654483647062756072686068577160037650301775,000$
2Justin Dowling0X100.00585275596263626168635963547062037620341775,000$
3Alexander Holtz0XX100.005951736370605858546160635553540376102241,100,000$
4Arnaud Durandeau0XX100.00555866626367656155596159565855040610251775,000$
5Graeme Clarke0XX100.00545767645966646255596161605553040610231775,000$
6Max Willman0X100.00605072616464645754605864546159040610291775,000$
7Kyle Criscuolo0X100.00555966615765645970575958557062040600321775,000$
8Nolan Foote0XX100.00555767606765625955586162565654040600241775,000$
9Ryan Schmelzer0X100.00555665606367655970595761546961040600311775,000$
10Joe Gambardella0X100.00545767586365635970595861546961040600311775,000$
11Josh Filmon (R)0XX100.00606060606060606060606060606060040600201775,000$
12Samuel Laberge0XXX100.00565464576763625755565662546257040590271775,000$
13Kevin Bahl0X100.006762756283676457406757745456560406502431,100,000$
14Robbie Russo0X100.00545567616268655940585659546961037600311775,000$
15Tyler Wotherspoon0X100.00555566596766635740575663546961040600311775,000$
16Luke Hughes0X100.005438786266695363385751575151550405902121,300,000$
17Michael Vukojevic0X100.00555466567062615540555560545553040580231775,000$
18Simon Nemec0X100.00525264586064615738555660514848040570201775,000$
Rayé
1Brian Halonen0X100.00555966586662615855555961545855040590251775,000$
2Shane Bowers0X100.00555567596264625655565760545855040580251775,000$
3Timur Ibragimov0XXX100.00545468556557565555555561545654040570241775,000$
4Filip Engaras0X100.00545567556559595570545560545855040570251775,000$
5Ryan Fitzgerald0XXX100.00545468555756555455545461546760040560301775,000$
6Xavier Parent0X100.00525165525254535252525257515250040530231775,000$
7T.J. Friedmann0X100.00515165515851515152515157515853040530261775,000$
8Santeri Hatakka0X100.00545467556357575540555460545553040560231775,000$
9Colin Felix0X100.00655164516351515138515159515451040540251775,000$
MOYENNE D’ÉQUIPE100.0056546858646261575457576154605604059
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire moyen
1Nico Daws0100.0073676684668268616765845352040690241775,000$
2Erik Kallgren0100.0063616172665969636261686357037640281775,000$
Rayé
1Tyler Brennan (R)0100.0060606060606060606060606060040600211775,000$
MOYENNE D’ÉQUIPE100.006563627264676661636271595603964
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen66677369898460CAN587500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP 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
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS 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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alexander HoltzUtica Comets (NJD)LW/RW2223.01.2002No89 Kg183 CMNoNoN/ANoNo4FalseFalsePro & Farm1,100,000$1,100,000$1,100,000$1,100,000$0$0$No1,100,000$1,100,000$1,100,000$------NoNoNo------Lien
Arnaud DurandeauUtica Comets (NJD)LW/RW2514.01.1999No84 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Brian HalonenUtica Comets (NJD)C2511.01.1999No94 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Chris TierneyUtica Comets (NJD)C3001.07.1994No87 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien / Lien NHL
Colin FelixUtica Comets (NJD)D2507.01.1999No92 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Erik KallgrenUtica Comets (NJD)G2814.10.1996No91 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Filip EngarasUtica Comets (NJD)C2516.05.1999No91 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Graeme ClarkeUtica Comets (NJD)LW/RW2324.04.2001No79 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Joe GambardellaUtica Comets (NJD)C3106.12.1993No91 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Josh FilmonUtica Comets (NJD)LW/RW2018.03.2004Yes77 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Justin DowlingUtica Comets (NJD)C3401.10.1990No82 Kg178 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Kevin BahlUtica Comets (NJD)D2427.06.2000No105 Kg198 CMNoNoN/ANoNo3FalseFalsePro & Farm1,100,000$1,100,000$1,100,000$1,100,000$0$0$No1,100,000$1,100,000$-------NoNo-------Lien / Lien NHL
Kyle CriscuoloUtica Comets (NJD)C3205.05.1992No80 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Luke HughesUtica Comets (NJD)D2109.09.2003No84 Kg188 CMNoNoN/ANoNo2FalseFalsePro & Farm1,300,000$1,300,000$1,300,000$1,300,000$0$0$No1,300,000$--------No--------Lien
Max WillmanUtica Comets (NJD)C2913.02.1995No84 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Michael VukojevicUtica Comets (NJD)D2308.06.2001No98 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Nico DawsUtica Comets (NJD)G2422.12.2000No93 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Nolan FooteUtica Comets (NJD)LW/RW2429.11.2000No89 Kg191 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Robbie RussoUtica Comets (NJD)D3115.02.1993No86 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Ryan FitzgeraldUtica Comets (NJD)C/LW/RW3019.10.1994No78 Kg175 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Ryan SchmelzerUtica Comets (NJD)C3128.07.1993No85 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Samuel LabergeUtica Comets (NJD)C/LW/RW2710.04.1997No93 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Santeri HatakkaUtica Comets (NJD)D2315.01.2001No87 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Shane BowersUtica Comets (NJD)C2530.07.1999No85 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Simon NemecUtica Comets (NJD)D2015.02.2004No86 Kg185 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
T.J. FriedmannUtica Comets (NJD)C2627.02.1998No82 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Timur IbragimovUtica Comets (NJD)C/LW/RW2412.10.2000No91 Kg183 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Tyler BrennanUtica Comets (NJD)G2127.09.2003Yes82 Kg193 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Tyler WotherspoonUtica Comets (NJD)D3112.03.1993No94 Kg188 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Xavier ParentUtica Comets (NJD)C2323.03.2001No77 Kg173 CMNoNoN/ANoNo1FalseFalsePro & Farm775,000$775,000$775,000$775,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3025.9087 Kg185 CM1.20814,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander HoltzChris TierneyArnaud Durandeau33122
2Graeme ClarkeJustin DowlingJosh Filmon30122
3Nolan FooteMax WillmanSamuel Laberge25122
4Chris TierneyKyle CriscuoloJustin Dowling12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlRobbie Russo33122
2Tyler WotherspoonLuke Hughes30122
3Michael VukojevicSimon Nemec25122
4Kevin BahlRobbie Russo12122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander HoltzChris TierneyArnaud Durandeau50122
2Graeme ClarkeJustin DowlingJosh Filmon50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlRobbie Russo50122
2Tyler WotherspoonLuke Hughes50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris TierneyJustin Dowling50122
2Alexander HoltzMax Willman50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlRobbie Russo50122
2Tyler WotherspoonLuke Hughes50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Tierney50122Kevin BahlRobbie Russo50122
2Justin Dowling50122Tyler WotherspoonLuke Hughes50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris TierneyJustin Dowling50122
2Alexander HoltzMax Willman50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlRobbie Russo50122
2Tyler WotherspoonLuke Hughes50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander HoltzChris TierneyArnaud DurandeauKevin BahlRobbie Russo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander HoltzChris TierneyArnaud DurandeauKevin BahlRobbie Russo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Schmelzer, Joe Gambardella, Kyle CriscuoloRyan Schmelzer, Joe GambardellaKyle Criscuolo
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Vukojevic, Simon Nemec, Tyler WotherspoonMichael VukojevicSimon Nemec, Tyler Wotherspoon
Tirs de pénalité
Chris Tierney, Justin Dowling, Alexander Holtz, Max Willman, Arnaud Durandeau
Gardien
#1 : Nico Daws, #2 : Erik Kallgren
Lignes d’attaque personnalisées en prolongation
Chris Tierney, Justin Dowling, Alexander Holtz, Max Willman, Arnaud Durandeau, Graeme Clarke, Graeme Clarke, Kyle Criscuolo, Josh Filmon, Nolan Foote, Ryan Schmelzer
Lignes de défense personnalisées en prolongation
Kevin Bahl, Robbie Russo, Tyler Wotherspoon, Luke Hughes, Michael Vukojevic


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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.
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JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
15Utica Comets-Cleveland Monsters-
322Belleville Senators-Utica Comets-
433Utica Comets-Rochester Americans-
646Utica Comets-Syracuse Crunch-
862Syracuse Crunch-Utica Comets-
1079Utica Comets-Laval Rocket-
1295Toronto Marlies-Utica Comets-
14114Utica Comets-Calgary Wranglers-
15124Calgary Wranglers-Utica Comets-
18146Cleveland Monsters-Utica Comets-
20156Utica Comets-Belleville Senators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
23178Rochester Americans-Utica Comets-
24189Utica Comets-Toronto Marlies-
28215Laval Rocket-Utica Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
7 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,442,500$ 2,442,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
81,417$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 30 98,083$ 2,942,490$




Utica Comets Leaders statistiques des joueurs (saison régulière)

# 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

Utica Comets Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Utica Comets Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Utica Comets Leaders statistiques des joueurs (séries éliminatoires)

# 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

Utica Comets Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA