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Connexion

Utica
GP: 82 | W: 13 | L: 63 | OTL: 6 | P: 32
GF: 185 | GA: 409 | PP%: 16.04% | PK%: 71.75%
DG: Jonathan Bourdeau | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Utica
13-63-6, 32pts
3
6 Hartford
39-37-6, 84pts
Team Stats
W1SéquenceW2
7-31-3Fiche domicile21-19-1
6-32-3Fiche domicile18-18-5
2-8-0Derniers 10 matchs5-4-1
2.26Buts par match 3.30
4.99Buts contre par match 3.34
16.04%Pourcentage en avantage numérique22.84%
71.75%Pourcentage en désavantage numérique81.13%
Hershey
40-32-10, 90pts
0
4 Utica
13-63-6, 32pts
Team Stats
L1SéquenceW1
21-17-3Fiche domicile7-31-3
19-15-7Fiche domicile6-32-3
4-4-2Derniers 10 matchs2-8-0
3.22Buts par match 2.26
3.11Buts contre par match 4.99
19.73%Pourcentage en avantage numérique16.04%
82.37%Pourcentage en désavantage numérique71.75%
Meneurs d'équipe
Tanner PearsonButs
Tanner Pearson
21
Passes
Jakub Jerabek
40
Points
Jakub Jerabek
57
Plus/Moins
Wade Allison
8
Victoires
Craig Anderson
6
Pourcentage d’arrêts
Craig Anderson
0.914

Statistiques d’équipe
Buts pour
185
2.26 GFG
Tirs pour
2500
30.49 Avg
Pourcentage en avantage numérique
16.0%
47 GF
Début de zone offensive
40.0%
Buts contre
409
4.99 GAA
Tirs contre
3455
42.13 Avg
Pourcentage en désavantage numérique
71.7%%
76 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur généralJonathan Bourdeau
EntraîneurLane Lambert
DivisionAtlantique
ConférenceConference est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité6,000
Assistance5,955
Billets de saison0


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 50
Espoirs7


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
1Tanner PearsonX100.00753190728680876469656765787067305000311500,000$
2Evgenii DadonovXX100.00733085668180877166666658777770305000352500,000$
3Rob SchrempXXX100.00663180457561887073646854808572125000381500,000$
4Jiri SekacXX100.00632994737273877171686761805447365000321500,000$
5Ryan DzingelXX100.00713386778183926969676954807157505000321500,000$
6Nikolay KuleminXX100.00652993517860926972646765838274205000371500,000$
7Clarke MacArthurX100.00663189477165706768676666778772255000391500,000$
8Wade AllisonX100.008843817987799970706773647552495650002641,200,000$
9Jiri TlustyXX100.00602092537866766571616259837559265000361700,000$
10Kyle OkposoX100.00692988637679877069636957846757295000361500,000$
11Tom KuhnhacklXX100.00692987728968766871676764797165315000321500,000$
12Tyson JostXX100.007840898580789771757171717551516150002621,000,000$
13Marc MethotX100.00794235327560964429404385459999125000391500,000$
14Jakub JerabekX100.00673179667778885650505385756866295000331500,000$
15Joakim RyanX100.00623087777781824850474982725951415000311510,000$
16Ron HainseyX100.0058308435797197485042508865999915000431500,000$
17Chad RuhwedelX100.00722789658273824750454887737778165000341500,000$
18Brian LashoffX100.00563889618171874550445082506455275000331500,000$
Rayé
1Christian JarosX100.007237787989768751524556827653545250002811,500,000$
2Marc-Andre BourdonX100.00623278737685905525545284647765335000341500,000$
MOYENNE D’ÉQUIPE100.0069328464807387616058617174726531500
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
1Craig Anderson100.0066818675728888868568699999115000441500,000$
Rayé
MOYENNE D’ÉQUIPE100.006681867572888886856869999911500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lane Lambert66677471838377CAN611500,000$


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
1Jakub JerabekUtica (NJD)D80174057-6458013382208631468.17%188177922.2411122311623701121720160.00%500000.6404000023
2Jiri SekacUtica (NJD)LW/RW80152742-262205288180361428.33%13111513.9400000000001042.44%65500000.7500000401
3Ryan DzingelUtica (NJD)LW/RW80152742-394357895224521266.70%12126115.761562374000002047.75%86700010.6700001130
4Tanner PearsonUtica (NJD)LW80211738-214009586293791637.17%25127015.88437321131015601148.80%29100000.6002000030
5Rob SchrempUtica (NJD)C/LW/RW68132437-3741594116174461147.47%10122918.077101741182000031049.85%164300000.6000001104
6Nikolay KuleminUtica (NJD)LW/RW80181836-2018043691373311313.14%12115014.39000010000161049.11%72700000.6301000113
7Tom KuhnhacklUtica (NJD)LW/RW4292130-30603933143381246.29%1178018.5825731960112760052.68%20500000.7700000011
8Chad RuhwedelUtica (NJD)D57111829-29300746813047748.46%117128622.5769157017400011290071.43%1400000.4514000101
9Marc-Andre BourdonUtica (NJD)D51101727-42400776313042887.69%122113922.346713721540001122000%000000.4700000011
10Ron HainseyUtica (NJD)D80101626-513607277182611215.49%199162020.2644810123800011780150.00%200000.3203000000
11Wade AllisonUtica (NJD)RW241010208220613311532768.70%452421.8613423801014692051.11%4500010.7611000213
12Joakim RyanUtica (NJD)D8231619-584010948121643.70%113124215.15011626000022000%000000.3100000000
13Evgenii DadonovUtica (NJD)LW/RW4461218-29180555112036945.00%675717.21033251060002150032.79%6100000.4800000000
14Tyson JostUtica (NJD)LW/RW185101576011286420677.81%441022.8203315620000560051.22%8200000.7302000012
15Mark KastelicNew JerseyC1184126140192744143018.18%524222.0411210390112372055.46%36600010.9901000121
16Marc MethotUtica (NJD)D80279-5416125216565113313.92%116120615.09101321000168000%000000.1500212000
17Brian LashoffUtica (NJD)D44178-1815524281910215.26%603838.71000210000026000%000000.4200010000
18Artemi PanarinNew JerseyLW2213-3004595922.22%05025.4800016000051034.62%2600001.1800000100
19Jiri TlustyUtica (NJD)LW/RW82112-6008514477.14%31041.27011110000141037.50%2400000.3800000010
20Kyle OkposoUtica (NJD)RW540220206314660%01222.2700000000000050.00%1000000.3301000000
21Clarke MacArthurUtica (NJD)LW80101-32010681512.50%01091.3700028000030048.00%10000000.1800000000
Statistiques d’équipe totales ou en moyenne1219178295473-5095784011811113234065916217.61%10201778814.594467111574163823521107912348.62%512300030.53219224121620
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
1Craig AndersonUtica (NJD)2561630.9143.17151621809320020.750122522304
2Carter Hart New Jersey106130.9461.9561441203690000.5569100311
Statistiques d’équipe totales ou en moyenne35121760.9232.822131621001301002213522615


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Brian LashoffUtica (NJD)D331990-07-16USANo219 Lbs6 ft3NoNoTrade2025-10-01NoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Chad RuhwedelUtica (NJD)D341990-05-07USANo191 Lbs5 ft11NoNoFree AgentNoNo12025-11-05FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Christian Jaros (contrat à 1 volet)Utica (NJD)D281996-04-02SLONo226 Lbs6 ft3NoNoTrade2025-09-26YesYes12025-09-11FalseFalsePro & Farm1,500,000$15,000$0$No---------------------------Lien
Clarke MacArthurUtica (NJD)LW391985-04-06CANNo196 Lbs6 ft0NoNoFree AgentNoNo12025-11-05FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Craig AndersonUtica (NJD)G441980-01-10USANo186 Lbs6 ft2NoNoFree AgentNoNo12025-11-05FalseFalsePro & Farm500,000$0$0$No---------------------------
Evgenii DadonovUtica (NJD)LW/RW351989-03-12RUSNo186 Lbs5 ft11NoNoTrade2025-10-01NoNo22024-10-09FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jakub JerabekUtica (NJD)D331991-05-12CZENo200 Lbs5 ft11NoNoFree AgentNoNo12025-11-05FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Jiri SekacUtica (NJD)LW/RW321992-06-10CZENo202 Lbs6 ft2NoNoFree AgentNoNo12025-11-05FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Jiri TlustyUtica (NJD)LW/RW361988-03-16CZENo210 Lbs6 ft0NoNoTrade2025-10-01NoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Joakim RyanUtica (NJD)D311993-06-17USANo191 Lbs5 ft11NoNoTrade2025-10-01NoNo1FalseFalsePro & Farm510,000$0$0$No---------------------------Lien
Kyle OkposoUtica (NJD)RW361988-04-16USANo223 Lbs6 ft0NoNoFree AgentNoNo12025-11-05FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Marc MethotUtica (NJD)D391985-06-21CANNo238 Lbs6 ft3NoNoFree Agent2025-03-23NoNo12025-11-05FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Marc-Andre BourdonUtica (NJD)D341989-09-17CANNo207 Lbs6 ft0NoNoFree AgentNoNo12025-11-05FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Nikolay KuleminUtica (NJD)LW/RW371986-07-14RUSNo229 Lbs6 ft1NoNoFree AgentNoNo12025-11-05FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Rob SchrempUtica (NJD)C/LW/RW381986-01-11USANo217 Lbs5 ft11NoNoTrade2025-10-01NoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Ron HainseyUtica (NJD)D431981-03-24USANo205 Lbs6 ft3NoNoFree AgentNoNo12025-11-05FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Ryan DzingelUtica (NJD)LW/RW321992-03-09CANNo196 Lbs6 ft0NoNoFree AgentNoNo12025-11-01FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Tanner PearsonUtica (NJD)LW311992-08-10CANNo201 Lbs6 ft1NoNoFree AgentNoNo12025-11-05FalseFalsePro & Farm500,000$0$0$No---------------------------Lien / Lien NHL
Tom KuhnhacklUtica (NJD)LW/RW321992-01-21GERNo197 Lbs6 ft2NoNoFree AgentNoNo12025-11-05FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Tyson JostUtica (NJD)LW/RW261998-03-14CANNo187 Lbs5 ft11NoNoExpansion DraftNoNo22025-09-11FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien NHL
Wade AllisonUtica (NJD)RW261997-10-14CANNo205 Lbs6 ft2NoNoExpansion DraftNoNo42025-09-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$1,200,000$------1,200,000$1,200,000$1,200,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2134.24205 Lbs6 ft11.24614,762$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson JostRob SchrempWade Allison35122
2Tom KuhnhacklTanner PearsonEvgenii Dadonov30122
3Ryan DzingelNikolay KuleminJiri Sekac25122
4Tanner PearsonTyson JostNikolay Kulemin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad RuhwedelJakub Jerabek35122
2Ron HainseyMarc Methot30122
3Joakim RyanBrian Lashoff25122
4Chad RuhwedelJakub Jerabek10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson JostRob SchrempWade Allison50122
2Tom KuhnhacklTanner PearsonEvgenii Dadonov50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad RuhwedelJakub Jerabek50122
2Ron HainseyMarc Methot50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyson JostWade Allison50122
2Tom KuhnhacklEvgenii Dadonov50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad RuhwedelJakub Jerabek50122
2Ron HainseyMarc Methot50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyson Jost50122Chad RuhwedelJakub Jerabek50122
2Wade Allison50122Ron HainseyMarc Methot50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyson JostWade Allison50122
2Tom KuhnhacklEvgenii Dadonov50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad RuhwedelJakub Jerabek50122
2Ron HainseyMarc Methot50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyson JostRob SchrempWade AllisonChad RuhwedelJakub Jerabek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyson JostRob SchrempWade AllisonChad RuhwedelJakub Jerabek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Clarke MacArthur, Kyle Okposo, Jiri TlustyClarke MacArthur, Kyle OkposoJiri Tlusty
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joakim Ryan, Brian Lashoff, Ron HainseyJoakim RyanBrian Lashoff, Ron Hainsey
Tirs de pénalité
Tyson Jost, Wade Allison, Tom Kuhnhackl, Evgenii Dadonov, Ryan Dzingel
Gardien
#1 : Craig Anderson, #2 :
Lignes d’attaque personnalisées en prolongation
Tyson Jost, Wade Allison, Tom Kuhnhackl, Evgenii Dadonov, Ryan Dzingel, Tanner Pearson, Jiri Sekac, Nikolay Kulemin, Clarke MacArthur, Rob Schremp
Lignes de défense personnalisées en prolongation
Chad Ruhwedel, Jakub Jerabek, Ron Hainsey, Marc Methot, Joakim Ryan


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
1Abbotsford30300000622-1620200000314-111010000038-500.0006121800597550287772881822461333718475120.00%9455.56%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
2Bakersfield20200000412-81010000037-41010000015-400.000471100597550247772881822467324152413323.08%30100.00%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
3Bridgeport422000001417-32110000067-121100000810-240.5001425391059755021137728818224614844266117211.76%13376.92%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
4Charlotte40400000723-162020000049-520200000314-1100.000711180059755021067728818224618464306510330.00%13653.85%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
5Cleveland605001001422-82020000058-340300100914-510.08314264020597550222677288182246192504410227311.11%16475.00%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
6Coachella Valley2000000246-21000000134-11000000112-120.5004590059755026077288182246953314297114.29%70100.00%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
7Eagles31200000514-92110000045-11010000019-820.333581300597550289772881822461534514421417.14%7271.43%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
8Grand Rapids41200001813-52010000147-32110000046-230.375814220059755021397728818224616047506516318.75%24579.17%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
9Hartford615000001128-1720200000212-1041300000916-720.1671120310159755022027728818224622786529822313.64%26773.08%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
10Hershey4220000017134211000009632110000087140.500173148015975502144772881822461693633628112.50%9188.89%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
11Iowa20200000512-71010000045-11010000017-600.0005914005975502637728818224675262253133.33%10100.00%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
12Laval40300001927-1820100001512-720200000415-1110.125914230059755021247728818224617362337017211.76%14750.00%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
13Lehigh Valley40300001726-1920200000113-1220100001613-710.125711180059755021187728818224618562376010440.00%16943.75%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
14Manitoba412000101317-431100010111011010000027-540.5001318310059755021317728818224617249327113430.77%14285.71%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
15Ontario20200000212-101010000024-21010000008-800.00024600597550258772881822467024823800.00%4250.00%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
16Providence40400000524-1920200000210-820200000314-1100.0005813005975502112772881822462016434711119.09%17382.35%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
17Rochester40400000922-1320200000711-420200000211-900.000917261059755021337728818224617662245017211.76%12466.67%11199288941.50%1137293938.69%574138841.35%1704112621866401063500
18Rockford20200000511-61010000036-31010000025-300.000581300597550255772881822468320184311218.18%9277.78%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
19San Diego20200000219-171010000018-710100000111-1000.0002460059755023977288182246121261526700.00%5340.00%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
20San Jose30300000618-1220200000313-101010000035-200.00061016105975502957728818224616644105113323.08%6266.67%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
21Springfield2020000026-41010000013-21010000013-200.000235005975502437728818224663301437600.00%50100.00%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
22Syracuse41300000812-42020000027-52110000065120.25081523005975502102772881822461714532671417.14%15380.00%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
23Texas32100000712-51100000032121100000410-640.6677101700597550289772881822469735305511218.18%14378.57%01199288941.50%1137293938.69%574138841.35%1704112621866401063500
24Wilkes-Barre/Scranton413000001521-621100000910-120200000611-520.2501525400059755021257728818224616842276213430.77%10460.00%11199288941.50%1137293938.69%574138841.35%1704112621866401063500
Total82126300115185409-224416310001397193-96416320010288216-128320.1951853155005259755022500772881822463455105761213062934716.04%2697671.75%21199288941.50%1137293938.69%574138841.35%1704112621866401063500
_Since Last GM Reset82126300115185409-224416310001397193-96416320010288216-128320.1951853155005259755022500772881822463455105761213062934716.04%2697671.75%21199288941.50%1137293938.69%574138841.35%1704112621866401063500
_Vs Conference5284000103124248-124243190000256112-56285210010168136-68200.19212421734142597550216447728818224621546644228331822915.93%1855669.73%21199288941.50%1137293938.69%574138841.35%1704112621866401063500
_Vs Division286200010178127-491239000003256-2416311001014671-25140.25078138216325975502928772881822461089320219445971717.53%902868.89%11199288941.50%1137293938.69%574138841.35%1704112621866401063500

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8232W1185315500250034551057612130652
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8212630115185409
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41631001397193
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41632010288216
Derniers 10 matchs
WLOTWOTL SOWSOL
280000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2934716.04%2697671.75%2
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
772881822465975502
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
1199288941.50%1137293938.69%574138841.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1704112621866401063500


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
13Utica 4Cleveland5LXSommaire du match
317Eagles1Utica 3WSommaire du match
730Utica 4Syracuse1WSommaire du match
937Utica 4Hartford0WSommaire du match
1250Laval4Utica 3LXXSommaire du match
1463Utica 1Cleveland2LSommaire du match
1673Manitoba2Utica 4WSommaire du match
1987Utica 1Hartford3LSommaire du match
2299Wilkes-Barre/Scranton2Utica 5WSommaire du match
25111Utica 3Texas2WSommaire du match
26123Grand Rapids2Utica 1LXXSommaire du match
30140Manitoba4Utica 5WXXSommaire du match
33158Utica 3Wilkes-Barre/Scranton4LSommaire du match
35164Bridgeport3Utica 1LSommaire du match
37182Utica 4Lehigh Valley5LXXSommaire du match
39190Lehigh Valley3Utica 0LSommaire du match
42208Springfield3Utica 1LSommaire du match
47229Ontario4Utica 2LSommaire du match
51252Manitoba4Utica 2LSommaire du match
55272Utica 1Springfield3LSommaire du match
56279Coachella Valley4Utica 3LXXSommaire du match
61301Rochester4Utica 3LSommaire du match
63317Utica 1Coachella Valley2LXXSommaire du match
65325Utica 2Rockford5LSommaire du match
67331Bakersfield7Utica 3LSommaire du match
70350Iowa5Utica 4LSommaire du match
72362Utica 3Wilkes-Barre/Scranton7LSommaire du match
74374Utica 1Bakersfield5LSommaire du match
75379Laval8Utica 2LSommaire du match
78396Utica 0Ontario8LSommaire du match
79405Wilkes-Barre/Scranton8Utica 4LSommaire du match
82420Utica 2Manitoba7LSommaire du match
83430Charlotte5Utica 1LSommaire du match
86447Utica 6Bridgeport4WSommaire du match
87454Rockford6Utica 3LSommaire du match
91474Utica 1Charlotte6LSommaire du match
92479Eagles4Utica 1LSommaire du match
95497Utica 1Texas8LSommaire du match
97503Grand Rapids5Utica 3LSommaire du match
99517Utica 0Laval8LSommaire du match
101526Utica 6Hershey4WSommaire du match
103534Bridgeport4Utica 5WSommaire du match
106551Utica 2Hershey3LSommaire du match
107560Texas2Utica 3WSommaire du match
110578Utica 2Lehigh Valley8LSommaire du match
111585Rochester7Utica 4LSommaire du match
114604Hartford7Utica 0LSommaire du match
116614Utica 2Providence6LSommaire du match
119630San Jose6Utica 1LSommaire du match
121641Utica 2Grand Rapids5LSommaire du match
122652Utica 2Syracuse4LSommaire du match
124659Hartford5Utica 2LSommaire du match
127680Abbotsford6Utica 2LSommaire du match
129687Utica 3San Jose5LSommaire du match
131696Utica 2Charlotte8LSommaire du match
133707Charlotte4Utica 3LSommaire du match
135723Utica 1Iowa7LSommaire du match
137732Utica 4Laval7LSommaire du match
138737Abbotsford8Utica 1LSommaire du match
140754Utica 2Bridgeport6LSommaire du match
142764Lehigh Valley10Utica 1LSommaire du match
144779Utica 1Providence8LSommaire du match
146786Providence7Utica 0LSommaire du match
148794Utica 3Abbotsford8LSommaire du match
151811Syracuse3Utica 0LSommaire du match
153824Utica 1San Diego11LSommaire du match
154829Utica 1Rochester4LSommaire du match
156841San Diego8Utica 1LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159858Utica 1Eagles9LSommaire du match
161867San Jose7Utica 2LSommaire du match
162877Utica 1Rochester7LSommaire du match
164890Utica 1Hartford7LSommaire du match
166896Providence3Utica 2LSommaire du match
168906Utica 2Cleveland4LSommaire du match
171919Hershey6Utica 5LSommaire du match
173932Utica 2Cleveland3LSommaire du match
174935Utica 2Grand Rapids1WSommaire du match
177947Syracuse4Utica 2LSommaire du match
181969Cleveland3Utica 2LSommaire du match
187991Cleveland5Utica 3LSommaire du match
188996Utica 3Hartford6LSommaire du match
1931017Hershey0Utica 4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30003000
Prix des billets3015
Assistance121,436122,701
Assistance PCT98.73%99.76%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 5955 - 99.24% 180,557$7,402,850$6000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,634,107$ 1,141,000$ 1,141,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
5,851$ 1,134,110$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 8,415$ 0$




Utica 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 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 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 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 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