Connexion

Utica Comets
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Steeve Leblanc | Morale : 40 | Moyenne d’équipe : 62
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralSteeve Leblanc
EntraîneurMike Yeo
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure21
Limite contact 43 / 100
Espoirs33


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
1Joona Koppanen 0XXX100.008155786293798460806360706065657240650253775,000$
2Joe Snively0XX100.0054418569658177657766676164686553406402731,100,000$
3Simon Holmstrom (R)49X100.0078418166817985645960626566636379406422221,200,000$
4Adam Gaudette 72XX100.0068408166759183647460606365686667406322621,100,000$
5Greg McKegg0XXX100.007943876673777664755756705979715240630312775,000$
6Michael Carcone6XX100.0068546663657686676364666262656857406302721,400,000$
7William Lockwood (R)26XX100.007850726369838462605862616463635840621253900,000$
8Jake Neighbours (R)94X100.006855886863757366606065646253488737612211925,000$
9Linus Karlsson (R)0X100.007045776267787962646060676255508040612233833,000$
10Riley Sutter (R)93XX100.007843786291808053625955595365666340610231825,000$
11Viktor Lodin (R)55XX100.006545716071758059655758585651516940581241833,000$
12Ville Petman (R)0XX100.006045616168707059605959596056566940580232900,000$
13Noah Juulsen 63X100.008245796482818262306059725557517040662261850,000$
14Scott Perunovich0X100.0066556367658172643063556650485385406222521,000,000$
15Gianni Fairbrother (R)0X100.007748616272727554305655665562626837620223775,000$
16Olli Juolevi 73X100.006745796782807860305852586051518440612253800,000$
17Seth Barton (R)0X100.006445675678787255305755595546467440582243700,000$
18Tyler Inamoto (R)0X100.006045605567707050305250606060607740570241725,000$
Rayé
1Georgi Merkulov0XXX100.0066457262707878646664606463555070406102541,000,000$
MOYENNE D’ÉQUIPE100.00704774637478786155605963605958704062
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
1Jakub Skarek0100.00707473836970706970706963666340690232775,000$
2Kyle Keyser 0100.00727272767173717071727163656440690241925,000$
Rayé
1Vadim Zherenko0100.006672748070716967697069555570406702241,000,000$
MOYENNE D’ÉQUIPE100.0069737380707170697071706062664068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo76697674757076CAN5041,356,000$


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial 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 10Link
Adam Gaudette Utica Comets (VAN)C/RW261996-10-03 04:02:29No194 Lbs6 ft1NoNoNoNo2Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$0$0$No1,100,000$Lien
Georgi MerkulovUtica Comets (VAN)C/LW/RW251998-08-12 02:22:02No163 Lbs5 ft10NoNoNoNo4Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$Lien
Gianni FairbrotherUtica Comets (VAN)D222000-09-30 13:29:44Yes209 Lbs6 ft11NoNoNoNo3Pro & Farm775,000$775,000$775,000$775,000$0$0$No775,000$775,000$
Greg McKeggUtica Comets (VAN)C/LW/RW311992-06-17No192 Lbs6 ft0NoNoNoNo2Pro & Farm775,000$775,000$775,000$775,000$0$0$No775,000$Lien / Lien NHL
Jake NeighboursUtica Comets (VAN)LW212002-03-29 05:54:06Yes201 Lbs6 ft0NoNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$No
Jakub SkarekUtica Comets (VAN)G231999-11-10No196 Lbs6 ft3NoNoNoNo2Pro & Farm775,000$775,000$775,000$775,000$0$0$No775,000$Lien
Joe SnivelyUtica Comets (VAN)LW/RW271996-01-01No170 Lbs5 ft9NoNoNoNo3Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$0$0$No1,100,000$1,100,000$Lien
Joona Koppanen Utica Comets (VAN)C/LW/RW251998-02-25 07:18:21No216 Lbs6 ft5NoNoNoNo3Pro & Farm775,000$775,000$775,000$775,000$0$0$No775,000$775,000$
Kyle Keyser Utica Comets (VAN)G241999-03-08No178 Lbs6 ft2NoNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Linus Karlsson Utica Comets (VAN)C231999-11-16 02:40:12Yes178 Lbs6 ft1NoNoNoNo3Pro & Farm833,000$833,000$833,000$833,000$0$0$No833,000$833,000$Lien
Michael CarconeUtica Comets (VAN)LW/RW271996-05-19No170 Lbs5 ft9NoNoNoNo2Pro & Farm1,400,000$1,400,000$1,400,000$1,400,000$0$0$No1,400,000$Lien / Lien NHL
Noah Juulsen Utica Comets (VAN)D261997-04-02 02:35:36No175 Lbs7 ft0NoNoNoNo1Pro & Farm850,000$850,000$850,000$850,000$0$0$NoLien
Olli Juolevi Utica Comets (VAN)D251998-05-05 13:35:22No183 Lbs7 ft0NoNoNoNo3Pro & Farm800,000$800,000$800,000$800,000$0$0$No800,000$800,000$
Riley SutterUtica Comets (VAN)C/RW231999-10-25Yes210 Lbs6 ft4NoNoNoNo1Pro & Farm825,000$825,000$825,000$825,000$0$0$No
Scott PerunovichUtica Comets (VAN)D251998-08-18 07:00:21No175 Lbs5 ft10NoNoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$
Seth BartonUtica Comets (VAN)D241999-08-18 01:42:11Yes196 Lbs6 ft3NoNoNoNo3Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$700,000$
Simon HolmstromUtica Comets (VAN)RW222001-05-24Yes205 Lbs6 ft2NoNoNoNo2Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$0$0$No1,200,000$
Tyler InamotoUtica Comets (VAN)D241999-05-06 15:24:29Yes194 Lbs6 ft2NoNoNoNo1Pro & Farm725,000$725,000$725,000$725,000$0$0$No
Vadim ZherenkoUtica Comets (VAN)G222001-03-15 03:37:16No176 Lbs6 ft1NoNoNoNo4Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$
Viktor LodinUtica Comets (VAN)C/LW241999-06-02 01:44:47Yes185 Lbs6 ft2NoNoNoNo1Pro & Farm833,000$833,000$833,000$833,000$0$0$No
Ville PetmanUtica Comets (VAN)C/RW232000-01-18 02:55:58Yes180 Lbs5 ft10NoNoNoNo2Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$
William LockwoodUtica Comets (VAN)LW/RW251998-06-20 13:35:54Yes172 Lbs5 ft11NoNoNoNo3Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$900,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2224.41187 Lbs6 ft22.23914,364$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Greg McKeggAdam Gaudette 30122
2Michael Carcone30122
3Riley Sutter20122
4Ville Petman20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
130122
230122
320122
420122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Greg McKeggAdam Gaudette 60122
2Michael Carcone40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam Gaudette Greg McKegg60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Gaudette 6012260122
2Greg McKegg4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam Gaudette Greg McKegg60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Greg McKeggAdam Gaudette
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Greg McKeggAdam Gaudette
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Viktor Lodin, , Viktor Lodin,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
Adam Gaudette , Greg McKegg, , , Michael Carcone
Gardien
#1 : , #2 : Kyle Keyser
Lignes d’attaque personnalisées en prolongation
Adam Gaudette , Greg McKegg, , , Michael Carcone, , , , , Riley Sutter,
Lignes de défense personnalisées en prolongation
, , , ,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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
000.00%000.00%000.00%
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.
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,011,600$ 2,011,600$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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