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UTICA Comets
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Ronald Fex | Morale : 99 | Moyenne d’équipe : 69
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralRonald Fex
EntraîneurGeoff Ward
DivisionSlavinski
ConférenceConference B
CapitaineJohn Hayden
Assistant #1Drake Caggiula
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 55
Espoirs34


Historique d'équipe

Saison actuelle0-0
Historique133-91-16 (0.554%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1Chris WagnerXXX100.0089467965747887627063647562786846997203051,350,000$
2Drake Caggiula (A)XXX100.0084467968677581666368677068736637997102721,500,000$
3John Hayden (C)XXX100.0094816265886980616763626462716862997002631,000,000$
4Nathan WalkerX100.007939856467837165596166586473675499680274750,000$
5Peter CehlarikXX100.005538796481777665586662636471665999680265750,000$
6Nolan StevensXX100.007138896380788362756458615968655699680251750,000$
7A.J. GreerX100.007266676485717363586261656369657299670244750,000$
8Boo NievesXX100.005655716186707362756360666173675899670273750,000$
9Beck MalenstynX100.006735956283737661566059645865635699670231750,000$
10Dylan SikuraXXX100.0062359166677475636264665966716547996702631,000,000$
11Anton WedinXX100.006054716271767763566160596275683699660281750,000$
12Roman PolakX100.0089467759888574563064558445857523997203511,750,000$
13John MooreX100.0081428664827468633068617452797164997103032,500,000$
14Jordan OesterleX100.0070359366718786653073596453776936997102941,400,000$
15Mark PysykX100.0068398766777684653067706555777066997102932,500,000$
16Will ButcherX100.0057359571688782703078625956716756997102612,500,000$
17Josh BrownX100.008353746094798260306558674973684299700271750,000$
18Juuso ValimakiX100.0059418365838674693072597154656783997002242,000,000$
Rayé
1Justin KirklandX100.007155715980747958646256595769656599660253850,000$
2Sheldon RempalX100.005035956063737662545961656271664899650261750,000$
3Steven SantiniX100.008139876281757261306357624971667199670264750,000$
4Ashton SautnerX100.005035956576747864306057635173673899660274750,000$
MOYENNE D’ÉQUIPE100.00704582647877786349656165587367539969
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
1Alexei Melnichuk (R)100.00758280787473757473757465706399680233750,000$
Rayé
MOYENNE D’ÉQUIPE100.0075828078747375747375746570639968
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Geoff Ward77847981898357CAN603850,000$


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 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
A.J. GreerUTICA Comets (VCR)LW2412/14/1996No95 Kg191 CMNoNoNo4Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$750,000$Lien
Alexei MelnichukUTICA Comets (VCR)G236/29/1998Yes86 Kg188 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$
Anton WedinUTICA Comets (VCR)LW/RW283/1/1993No89 Kg180 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Ashton SautnerUTICA Comets (VCR)D275/27/1994No89 Kg185 CMNoNoNo4Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$750,000$Lien
Beck MalenstynUTICA Comets (VCR)LW232/4/1998No91 Kg191 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Boo NievesUTICA Comets (VCR)C/LW271/23/1994No97 Kg191 CMNoNoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$Lien
Chris WagnerUTICA Comets (VCR)C/LW/RW305/27/1991No90 Kg183 CMNoNoNo5Pro & Farm1,350,000$1,157,143$1,350,000$1,157,143$0$0$No1,350,000$1,350,000$1,350,000$1,350,000$Lien
Drake CaggiulaUTICA Comets (VCR)C/LW/RW276/20/1994No80 Kg178 CMNoNoNo2Pro & Farm1,500,000$1,285,714$1,500,000$1,285,714$0$0$No1,500,000$Lien
Dylan SikuraUTICA Comets (VCR)C/LW/RW266/1/1995No77 Kg180 CMNoNoNo3Pro & Farm1,000,000$857,143$1,000,000$857,143$0$0$No1,000,000$1,000,000$Lien
John HaydenUTICA Comets (VCR)C/LW/RW262/14/1995No101 Kg191 CMNoNoNo3Pro & Farm1,000,000$857,143$1,000,000$857,143$0$0$No1,000,000$1,000,000$Lien
John MooreUTICA Comets (VCR)D3011/19/1990No95 Kg188 CMNoNoNo3Pro & Farm2,500,000$2,142,857$2,500,000$2,142,857$0$0$No2,500,000$2,500,000$Lien
Jordan OesterleUTICA Comets (VCR)D296/25/1992No83 Kg183 CMNoNoNo4Pro & Farm1,400,000$1,200,000$1,400,000$1,200,000$0$0$No1,400,000$1,400,000$1,400,000$Lien
Josh BrownUTICA Comets (VCR)D271/21/1994No100 Kg196 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Justin KirklandUTICA Comets (VCR)LW258/2/1996No83 Kg191 CMNoNoNo3Pro & Farm850,000$728,571$850,000$728,571$0$0$No850,000$850,000$Lien
Juuso ValimakiUTICA Comets (VCR)D2210/6/1998No96 Kg188 CMNoNoNo4Pro & Farm2,000,000$1,714,286$2,000,000$1,714,286$0$0$No2,000,000$2,000,000$2,000,000$Lien
Mark PysykUTICA Comets (VCR)D291/11/1992No89 Kg185 CMNoNoNo3Pro & Farm2,500,000$2,142,857$2,500,000$2,142,857$0$0$No2,500,000$2,500,000$Lien
Nathan WalkerUTICA Comets (VCR)LW272/7/1994No85 Kg175 CMNoNoNo4Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$750,000$Lien
Nolan StevensUTICA Comets (VCR)C/LW257/22/1996No83 Kg191 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Peter CehlarikUTICA Comets (VCR)LW/RW268/2/1995No92 Kg188 CMNoNoNo5Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$750,000$750,000$Lien
Roman PolakUTICA Comets (VCR)D354/28/1986No109 Kg188 CMNoNoNo1Pro & Farm1,750,000$1,500,000$1,750,000$1,500,000$0$0$NoLien
Sheldon RempalUTICA Comets (VCR)RW268/7/1995No75 Kg178 CMNoNoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$NoLien
Steven SantiniUTICA Comets (VCR)D263/7/1995No93 Kg188 CMNoNoNo4Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$750,000$Lien
Will ButcherUTICA Comets (VCR)D261/6/1995No86 Kg178 CMNoNoNo1Pro & Farm2,500,000$2,142,857$2,500,000$2,142,857$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.7090 Kg185 CM2.781,189,130$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1John HaydenDrake CaggiulaChris Wagner35122
2A.J. GreerNolan StevensPeter Cehlarik30122
3Dylan SikuraBoo NievesAnton Wedin25122
4Beck MalenstynNathan WalkerPeter Cehlarik10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will ButcherJuuso Valimaki40122
2Jordan OesterleMark Pysyk27122
3Roman PolakJohn Moore23122
4Josh BrownRoman Polak10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anton WedinDrake CaggiulaChris Wagner55122
2A.J. GreerJohn HaydenDylan Sikura45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MooreMark Pysyk55122
2Jordan OesterleJuuso Valimaki45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Drake CaggiulaChris Wagner55122
2John HaydenA.J. Greer45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1John MooreRoman Polak55122
2Juuso ValimakiJosh Brown45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Drake Caggiula55122John MooreRoman Polak55122
2Chris Wagner45122Juuso ValimakiJosh Brown45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Drake CaggiulaA.J. Greer55122
2John HaydenNathan Walker45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso ValimakiMark Pysyk55122
2Jordan OesterleJosh Brown45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John HaydenDrake CaggiulaChris WagnerJordan OesterleMark Pysyk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John HaydenDrake CaggiulaChris WagnerJohn MooreRoman Polak
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Walker, Chris Wagner, A.J. GreerNathan Walker, Chris WagnerNathan Walker
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Oesterle, Josh Brown, Juuso ValimakiJordan OesterleJordan Oesterle, Mark Pysyk
Tirs de pénalité
Drake Caggiula, John Hayden, Peter Cehlarik, A.J. Greer, Nathan Walker
Gardien
#1 : , #2 : Alexei Melnichuk
Lignes d’attaque personnalisées en prolongation
Drake Caggiula, John Hayden, Boo Nieves, Nolan Stevens, Nathan Walker, Dylan Sikura, Dylan Sikura, Chris Wagner, A.J. Greer, Beck Malenstyn, Anton Wedin
Lignes de défense personnalisées en prolongation
John Moore, Mark Pysyk, Jordan Oesterle, Juuso Valimaki, Roman Polak


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
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,735,000$ 2,735,000$ 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$ 12 0$ 0$




UTICA Comets Leaders statistiques (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
1400263395658130216805650166715.78%251817420.4410517427922822431351654.97%151.6167
22961483084562840248444136610.83%256559618.9180164244180000824860.36%121.6308
339082324406454037852413036.29%5701078727.66657514014502223800.00%40.7500
432017222439615816374428134012.84%96540716.90207898702023826461.32%121.4604
540017721539213556792537593918.85%221762419.06399513411921325231151.80%01.0307

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
1329180119280.9123.25193658410501199961581980.50016
273413020.9222.9743452221527571410520.92313
3120000.9302.523810016228100000.0000

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
Saison régulière
3780402904601387262125402212033001931237040181701301194139559538764110282110416611353548116512931067272969919526169026711241.95%2346870.94%01153204956.27%1078187157.62%848139061.01%1940113314606471427792
3780402904601386260126402212033001921217140181701301194139559538663710232110216511553545116512811076272960922526169126311041.83%2346771.37%11148204856.05%1079187357.61%846138261.22%1936112814626491429794
3880363306230316251654016180303017414430402015032001421073592316510826227210113410306610079551084323136110950818362237232.29%2417867.63%9972185952.29%1103208852.83%641119753.55%172491715817121520806
Total Saison régulière240116910141432108977331612060420963055938817112056490580253038514528210891788287764278432362201015933373529322786906529501560521775329439.04%70921369.96%103273595654.95%3260583255.90%2335396958.83%560131794504200943772393

UTICA Comets Leaders statistiques (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