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Utica Comets
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Steeve Leblanc | Morale : 27 | Moyenne d’équipe : 63
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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 Pro24
Équipe Mineure19
Limite contact 43 / 100
Espoirs30


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 0XXX100.008155786293798461806561686067677083650263775,000$
2Joe Snively0XX100.0054418669658177677767696164706751846502831,100,000$
3Greg McKegg0XXX100.007943886673777666755958695981735072640312775,000$
4Michael Carcone6XX100.0069546663657686696366686162677055826402721,400,000$
5Simon Holmstrom (R)49X100.0078418268837985635960616366656577836422221,200,000$
6William Lockwood (R)26XX100.007850736369838463606063606465655681631253900,000$
7Georgi Merkulov0XXX100.0065457362707878646665616363575268746202541,000,000$
8Linus Karlsson (R)0X100.007045786469787963646161656257527877622243833,000$
9Cole Cassels0XX100.006144816072758558706761585875715575620281750,000$
10Riley Sutter (R)93XX100.007743796392808052625854585367686152610241825,000$
11Patrick Curry 0XXX100.006645785567777560665860606567575863590281750,000$
12Ville Petman (R)0XX100.005945626370707058595959576058586767580242900,000$
13Trevor Kuntar (R)0X100.006945666671727258605455585547526859582223833,000$
14Liam Coughlin0XXX100.008660716077707052595652566064447553570291650,000$
15Noah Juulsen 63X100.008245796482757763305959705559536883652271850,000$
16Scott Perunovich (R)96X100.0066556367658172653064597250505583616422521,000,000$
17Ashton Sautner42X100.0066459063767378633055545951767047326202911,675,000$
18Seth Barton (R)0X100.006445675880787255305854595548487259592243700,000$
19Artem Grushnikov (R)0X100.006145666468707060305450616047478657582213833,000$
20Tyler Inamoto (R)69X100.005945615769707049305149616062627556570241725,000$
Rayé
1Gianni Fairbrother (R)0X100.007748616474727555305654665564646640620233775,000$
MOYENNE D’ÉQUIPE100.00704774637476776054605862596360666661
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 Skarek0100.00717882837079817472706964676284730242775,000$
2Kyle Keyser 0100.00737272767173717071727164666345690251925,000$
Rayé
1Vadim Zherenko0100.006772748071727169717069565669586802341,000,000$
MOYENNE D’ÉQUIPE100.0070747680717574717171706163656270
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 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 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
Artem Grushnikov Utica Comets (VAN)D212003-03-20 00:14:34Yes180 Lbs6 ft2NoNoN/ANoNo3Pro & Farm833,000$714,000$833,000$714,000$0$0$No833,000$833,000$-------NoNo-------Lien
Ashton SautnerUtica Comets (VAN)D291994-05-27No195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,675,000$1,435,714$1,675,000$1,435,714$0$0$No------------------Lien
Cole CasselsUtica Comets (VAN)C/LW281995-05-04No180 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------Lien
Georgi MerkulovUtica Comets (VAN)C/LW/RW251998-08-12 02:22:02No163 Lbs5 ft10NoNoN/ANoNo4Pro & Farm1,000,000$857,143$1,000,000$857,143$0$0$No1,000,000$1,000,000$1,000,000$------NoNoNo------Lien
Gianni FairbrotherUtica Comets (VAN)D232000-09-30 13:29:44Yes209 Lbs6 ft11NoNoN/ANoNo3Pro & Farm775,000$664,286$775,000$664,286$0$0$No775,000$775,000$-------NoNo-------
Greg McKeggUtica Comets (VAN)C/LW/RW311992-06-17No192 Lbs6 ft0NoNoN/ANoNo2Pro & Farm775,000$664,286$775,000$664,286$0$0$No775,000$--------No--------Lien / Lien NHL
Jakub SkarekUtica Comets (VAN)G241999-11-10No196 Lbs6 ft3NoNoN/ANoNo2Pro & Farm775,000$664,286$775,000$664,286$0$0$No775,000$--------No--------Lien
Joe SnivelyUtica Comets (VAN)LW/RW281996-01-01No170 Lbs5 ft9NoNoN/ANoNo3Farm Only1,100,000$942,857$1,100,000$942,857$0$0$No1,100,000$1,100,000$-------NoNo-------Lien
Joona Koppanen Utica Comets (VAN)C/LW/RW261998-02-25 07:18:21No216 Lbs6 ft5NoNoN/ANoNo3Pro & Farm775,000$664,286$775,000$664,286$0$0$No775,000$775,000$-------NoNo-------
Kyle Keyser Utica Comets (VAN)G251999-03-08No178 Lbs6 ft2NoNoN/ANoNo1Pro & Farm925,000$792,857$925,000$792,857$0$0$No------------------Lien
Liam CoughlinUtica Comets (VAN)C/LW/RW291994-09-19 11:13:38No201 Lbs6 ft3NoNoN/ANoNo1Pro & Farm650,000$557,143$650,000$557,143$0$0$No------------------
Linus Karlsson Utica Comets (VAN)C241999-11-16 02:40:12Yes178 Lbs6 ft1NoNoN/ANoNo3Pro & Farm833,000$714,000$833,000$714,000$0$0$No833,000$833,000$-------NoNo-------Lien
Michael CarconeUtica Comets (VAN)LW/RW271996-05-19No170 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,400,000$1,200,000$1,400,000$1,200,000$0$0$No1,400,000$--------No--------Lien / Lien NHL
Noah Juulsen Utica Comets (VAN)D271997-04-02 02:35:36No175 Lbs7 ft0NoNoN/ANoNo1Farm Only850,000$728,571$850,000$728,571$0$0$No------------------Lien
Patrick Curry Utica Comets (VAN)C/LW/RW281996-01-09 03:22:16No187 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------Lien
Riley SutterUtica Comets (VAN)C/RW241999-10-25Yes210 Lbs6 ft4NoNoN/ANoNo1Pro & Farm825,000$707,143$825,000$707,143$0$0$No------------------
Scott PerunovichUtica Comets (VAN)D251998-08-18 07:00:21Yes175 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,000,000$857,143$1,000,000$857,143$0$0$No1,000,000$--------No--------Lien
Seth BartonUtica Comets (VAN)D241999-08-18 01:42:11Yes196 Lbs6 ft3NoNoN/ANoNo3Pro & Farm700,000$600,000$700,000$600,000$0$0$No700,000$700,000$-------NoNo-------
Simon HolmstromUtica Comets (VAN)RW222001-05-24Yes205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,200,000$1,028,571$1,200,000$1,028,571$0$0$No1,200,000$--------No--------
Trevor KuntarUtica Comets (VAN)C222001-06-20 00:19:01Yes205 Lbs6 ft0NoNoN/ANoNo3Pro & Farm833,000$714,000$833,000$714,000$0$0$No833,000$833,000$-------NoNo-------Lien
Tyler InamotoUtica Comets (VAN)D241999-05-06 15:24:29Yes194 Lbs6 ft2NoNoN/ANoNo1Pro & Farm725,000$621,429$725,000$621,429$0$0$No------------------
Vadim ZherenkoUtica Comets (VAN)G232001-03-15 03:37:16No176 Lbs6 ft1NoNoN/ANoNo4Pro & Farm1,000,000$857,143$1,000,000$857,143$0$0$No1,000,000$1,000,000$1,000,000$------NoNoNo------
Ville PetmanUtica Comets (VAN)C/RW242000-01-18 02:55:58Yes180 Lbs5 ft10NoNoN/ANoNo2Pro & Farm900,000$771,429$900,000$771,429$0$0$No900,000$--------No--------
William LockwoodUtica Comets (VAN)LW/RW251998-06-20 13:35:54Yes172 Lbs5 ft11NoNoN/ANoNo3Pro & Farm900,000$771,429$900,000$771,429$0$0$No900,000$900,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.33188 Lbs6 ft22.17914,542$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joe SnivelyJoona Koppanen Simon Holmstrom30122
2Michael CarconeGreg McKeggWilliam Lockwood30122
3Georgi MerkulovCole CasselsRiley Sutter20122
4Linus Karlsson Patrick Curry 20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah Juulsen Scott Perunovich30122
2Ashton SautnerSeth Barton30122
3Artem Grushnikov Tyler Inamoto20122
4Noah Juulsen Ashton Sautner20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joe SnivelyJoona Koppanen Simon Holmstrom60122
2Michael CarconeGreg McKeggWilliam Lockwood40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah Juulsen Scott Perunovich60122
2Ashton SautnerSeth Barton40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joona Koppanen Joe Snively60122
2Simon HolmstromMichael Carcone40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah Juulsen Artem Grushnikov 60122
2Ashton SautnerSeth Barton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joona Koppanen 60122Noah Juulsen Scott Perunovich60122
2Joe Snively40122Ashton SautnerSeth Barton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joona Koppanen Joe Snively60122
2Simon HolmstromMichael Carcone40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah Juulsen Tyler Inamoto60122
2Ashton SautnerSeth Barton40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joe SnivelyJoona Koppanen Simon HolmstromNoah Juulsen Scott Perunovich
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joe SnivelyJoona Koppanen Simon HolmstromNoah Juulsen Scott Perunovich
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ville Petman, Trevor Kuntar, Cole CasselsVille Petman, Trevor KuntarCole Cassels
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Artem Grushnikov , Tyler Inamoto, Ashton SautnerArtem Grushnikov Tyler Inamoto, Ashton Sautner
Tirs de pénalité
Joona Koppanen , Joe Snively, Simon Holmstrom, Michael Carcone, Greg McKegg
Gardien
#1 : Jakub Skarek, #2 : Kyle Keyser
Lignes d’attaque personnalisées en prolongation
Joona Koppanen , Joe Snively, Simon Holmstrom, Michael Carcone, Greg McKegg, William Lockwood, William Lockwood, Cole Cassels, Georgi Merkulov, Linus Karlsson ,
Lignes de défense personnalisées en prolongation
Noah Juulsen , Tyler Inamoto, Ashton Sautner, Seth Barton, Artem Grushnikov


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.
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%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,194,900$ 2,194,900$ 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 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