Connexion

Hartford Wolf Pack
GP: 24 | W: 2 | L: 22 | OTL: 0 | P: 4
GF: 41 | GA: 103 | PP%: 0.00% | PK%: 78.13%
DG: Sylvain Franck | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #396 vs Tucson Roadrunners
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Centre de jeu
Hartford Wolf Pack
2-22-0, 4pts
2
FINAL
5 San Diego Gulls
2-21-2, 6pts
Team Stats
L2SéquenceL2
2-10-0Fiche domicile2-9-1
0-12-0Fiche domicile0-12-1
1-9-0Derniers 10 matchs1-9-0
1.71Buts par match 1.72
4.29Buts contre par match 4.48
0.00%Pourcentage en avantage numérique5.00%
78.13%Pourcentage en désavantage numérique79.55%
San Jose Barracuda
15-7-1, 31pts
5
FINAL
1 Hartford Wolf Pack
2-22-0, 4pts
Team Stats
W1SéquenceL2
7-4-1Fiche domicile2-10-0
8-3-0Fiche domicile0-12-0
8-2-0Derniers 10 matchs1-9-0
2.74Buts par match 1.71
1.30Buts contre par match 4.29
17.24%Pourcentage en avantage numérique0.00%
93.75%Pourcentage en désavantage numérique78.13%
Tucson Roadrunners
5-18-2, 12pts
Jour 59
Hartford Wolf Pack
2-22-0, 4pts
Statistiques d’équipe
L1SéquenceL2
2-9-1Fiche domicile2-10-0
3-9-1Fiche visiteur0-12-0
2-6-210 derniers matchs1-9-0
1.68Buts par match 1.71
4.20Buts contre par match 1.71
7.50%Pourcentage en avantage numérique0.00%
77.08%Pourcentage en désavantage numérique78.13%
Hartford Wolf Pack
2-22-0, 4pts
Jour 61
LeHigh Valley Phantoms
8-19-0, 16pts
Statistiques d’équipe
L2SéquenceW1
2-10-0Fiche domicile6-6-0
0-12-0Fiche visiteur2-13-0
1-9-010 derniers matchs3-7-0
1.71Buts par match 2.07
4.29Buts contre par match 2.07
0.00%Pourcentage en avantage numérique6.52%
78.13%Pourcentage en désavantage numérique74.42%
Hartford Wolf Pack
2-22-0, 4pts
Jour 62
Calgary Wranglers
3-18-2, 8pts
Statistiques d’équipe
L2SéquenceL6
2-10-0Fiche domicile1-12-0
0-12-0Fiche visiteur2-6-2
1-9-010 derniers matchs2-8-0
1.71Buts par match 2.00
4.29Buts contre par match 2.00
0.00%Pourcentage en avantage numérique3.70%
78.13%Pourcentage en désavantage numérique64.71%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
41
1.71 GFG
Tirs pour
582
24.25 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
31.2%
Buts contre
103
4.29 GAA
Tirs contre
1043
43.46 Avg
Pourcentage en désavantage numérique
78.1%%
7 GA
Début de la zone défensive
44.4%
Informations de l'équipe

Directeur généralSylvain Franck
DivisionATLANTIC
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,835
Billets de saison300


Informations de la formation

Équipe Pro16
Équipe Mineure19
Limite contact 35 / 250
Espoirs16


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
1Pat MaroonX100.007784616390788562566458615783762450003621,000,000$
2Michael RafflXXX100.004035404035809040204040403025251150003521,651,000$
3Barrett HaytonXX100.006936817379888169817168727465678647002411,400,000$
4Jack StudnickaXXX100.00713889647684806375606165626667694700253775,000$
5Akil Thomas (R)X100.00653881677382756563616662686567695000232775,000$
6Jesse YlonenX100.00673894657787856468666163716566735000241925,000$
7Roby Jarventie (R)X100.00674072667780726562636461666264775000222925,000$
8Valtteri Puustinen (R)X100.00623594686783886762666061686567475000254775,000$
9Hendrix Lapierre (R)X100.00613787697079856773686263656264825000222832,500$
10Jiri Kulich (R)X100.00683888677591826563586462666167825000202950,000$
11Stephen JohnsX100.00403540403580904020404040302525115000321950,000$
12Steven SantiniX100.0074388663827984593060556547697160470N02941,999,999$
13Ben HarpurX100.00403540623580904020404040306870115000291775,000$
14Ville Heinola (R)X100.00643977657382786430655758506365815000232832,500$
Rayé
MOYENNE D’ÉQUIPE100.0062407462678283595259575856606256490
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
1Michael Dipietro (R)100.0065957274666161616150776573645000254775,000$
2Karel Vejmelka100.0075998291768180818169887081574700282842,500$
Rayé
MOYENNE D’ÉQUIPE100.007097778371717171716083687761490
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire 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
Akil ThomasHartford Wolf Pack (NYR)C232001-01-31CANYes195 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-20FalseFalsePro & Farm775,000$543,299$0$0$No775,000$--------600,000$--------No--------Lien
Barrett HaytonHartford Wolf Pack (NYR)C/LW242000-06-09CANNo207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,400,000$981,443$0$0$No---------------------------Lien
Ben HarpurHartford Wolf Pack (NYR)D291995-01-12CANNo231 Lbs6 ft6NoNoN/ANoNo12024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No---------------------------Lien
Hendrix LapierreHartford Wolf Pack (NYR)C222002-02-09CANYes180 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-20FalseFalsePro & Farm832,500$583,608$0$0$No832,500$--------600,000$--------No--------Lien
Jack StudnickaHartford Wolf Pack (NYR)C/LW/RW251999-02-18CANNo187 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$-------600,000$600,000$-------NoNo-------Lien
Jesse YlonenHartford Wolf Pack (NYR)RW241999-10-03FINNo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$648,454$0$0$No---------------------------Lien
Jiri KulichHartford Wolf Pack (NYR)RW202004-04-14CZEYes186 Lbs6 ft1NoNoAssign ManuallyNoNo22024-08-20FalseFalsePro & Farm950,000$665,979$0$0$No950,000$--------600,000$--------No--------Lien
Karel VejmelkaHartford Wolf Pack (NYR)G281996-05-25CZENo224 Lbs6 ft4NoNoTrade2024-01-16NoNo2FalseFalsePro & Farm842,500$590,619$0$0$No842,500$--------600,000$--------No--------Lien
Michael DipietroHartford Wolf Pack (NYR)G251999-06-09CANYes200 Lbs6 ft0NoNoAssign ManuallyNoNo42024-08-20FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------600,000$600,000$600,000$------NoNoNo------Lien
Michael RafflHartford Wolf Pack (NYR)C/LW/RW351988-12-01AUTNo205 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,651,000$1,157,402$0$0$No1,651,000$--------600,000$--------No--------Lien
Pat MaroonHartford Wolf Pack (NYR)LW361988-07-27USANo234 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$701,031$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Roby JarventieHartford Wolf Pack (NYR)LW222002-09-08FINYes184 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-20FalseFalsePro & Farm925,000$648,454$0$0$No925,000$--------600,000$--------No--------Lien
Stephen JohnsHartford Wolf Pack (NYR)D321992-04-18USANo225 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm950,000$665,979$0$0$No---------------------------Lien
Steven SantiniHartford Wolf Pack (NYR)D291995-03-07USANo209 Lbs6 ft2YesNoAssign ManuallyNoNo42024-08-21FalseFalsePro & Farm1,999,999$1,402,061$0$0$No1,999,999$1,999,999$1,999,999$------600,000$600,000$600,000$------NoNoNo------Lien
Valtteri PuustinenHartford Wolf Pack (NYR)RW251999-06-04FINYes183 Lbs5 ft9NoNoAssign ManuallyNoNo42024-08-20FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------600,000$600,000$600,000$------NoNoNo------Lien
Ville HeinolaHartford Wolf Pack (NYR)D232001-03-02FINYes185 Lbs6 ft1NoNoN/ANoNo22024-05-19FalseFalsePro & Farm832,500$583,608$0$0$No832,500$--------832,500$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1626.38202 Lbs6 ft22.191,011,469$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
138122
230122
322122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
138122
230122
322122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Abbotsford Canucks1010000001-1000000000001010000001-100.0000000015917061731882210372049100.00%20100.00%019744644.17%23463536.85%12035034.29%367253823161249100
2Bridgeport Islanders413000001214-2211000006512020000069-320.250122436001591701671731882210167381091100.00%5180.00%019744644.17%23463536.85%12035034.29%367253823161249100
3Colorado Eagles1010000027-51010000027-50000000000000.000246001591703017318822104624422100.00%2150.00%019744644.17%23463536.85%12035034.29%367253823161249100
4Grand Rapids Griffins1010000026-41010000026-40000000000000.000246001591703017318822103811930300.00%2150.00%019744644.17%23463536.85%12035034.29%367253823161249100
5Iowa Wild1010000005-51010000005-50000000000000.00000000159170101731882210587010300.00%000%019744644.17%23463536.85%12035034.29%367253823161249100
6Manitoba Moose2020000069-3000000000002020000069-300.000612180015917079173188221011829258100.00%110.00%019744644.17%23463536.85%12035034.29%367253823161249100
7Milwaukee Admirals11000000404110000004040000000000021.000481201159170311731882210274617000%20100.00%019744644.17%23463536.85%12035034.29%367253823161249100
8Providence Bruins1010000025-31010000025-30000000000000.000246001591703917318822103818213300.00%110.00%019744644.17%23463536.85%12035034.29%367253823161249100
9San Diego Gulls1010000025-3000000000001010000025-300.000246001591704117318822105316020100.00%000%019744644.17%23463536.85%12035034.29%367253823161249100
10San Jose Barracuda1010000015-41010000015-40000000000000.000123001591701317318822103314116200.00%3166.67%019744644.17%23463536.85%12035034.29%367253823161249100
11Springfield Thunderbirds2020000016-52020000016-50000000000000.000123001591702617318822107614639000%3166.67%019744644.17%23463536.85%12035034.29%367253823161249100
12Syracuse Crunch30300000716-90000000000030300000716-900.0007142100159170601731882210143451159700.00%30100.00%019744644.17%23463536.85%12035034.29%367253823161249100
13Utica Comets2020000007-72020000007-70000000000000.000000001591702117318822107520818300.00%40100.00%019744644.17%23463536.85%12035034.29%367253823161249100
14Wilkes-Barre/Scranton Penguins30300000217-150000000000030300000217-1500.0002460015917029173188221013442826700.00%40100.00%019744644.17%23463536.85%12035034.29%367253823161249100
Total242220000041103-6212210000001846-2812012000002357-3440.08341821230115917058217318822101043302814183300.00%32778.13%019744644.17%23463536.85%12035034.29%367253823161249100
_Since Last GM Reset242220000041103-6212210000001846-2812012000002357-3440.08341821230115917058217318822101043302814183300.00%32778.13%019744644.17%23463536.85%12035034.29%367253823161249100
_Vs Conference15114000002968-3951400000817-910010000002151-3020.067295887001591703951731882210675192412652200.00%18383.33%019744644.17%23463536.85%12035034.29%367253823161249100
_Vs Division518000001127-1621300000411-730500000716-920.20011223300159170129173188221021974221021300.00%6266.67%019744644.17%23463536.85%12035034.29%367253823161249100

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
244L2418212358210433028141801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
24222000041103
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1221000001846
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1201200002357
Derniers 10 matchs
WLOTWOTL SOWSOL
190000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3300.00%32778.13%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
1731882210159170
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
19744644.17%23463536.85%12035034.29%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
367253823161249100


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
515Utica Comets4Hartford Wolf Pack0LSommaire du match
622Hartford Wolf Pack1Wilkes-Barre/Scranton Penguins5LSommaire du match
944Colorado Eagles7Hartford Wolf Pack2LSommaire du match
1048Hartford Wolf Pack4Syracuse Crunch7LSommaire du match
1369Hartford Wolf Pack2Syracuse Crunch4LSommaire du match
1482Hartford Wolf Pack0Wilkes-Barre/Scranton Penguins6LSommaire du match
1694Bridgeport Islanders3Hartford Wolf Pack2LSommaire du match
18112Hartford Wolf Pack1Syracuse Crunch5LSommaire du match
21124Grand Rapids Griffins6Hartford Wolf Pack2LSommaire du match
23142Hartford Wolf Pack4Manitoba Moose6LSommaire du match
24154Springfield Thunderbirds3Hartford Wolf Pack0LSommaire du match
27178Hartford Wolf Pack3Bridgeport Islanders5LSommaire du match
29186Bridgeport Islanders2Hartford Wolf Pack4WSommaire du match
30196Hartford Wolf Pack2Manitoba Moose3LSommaire du match
32221Hartford Wolf Pack1Wilkes-Barre/Scranton Penguins6LSommaire du match
34226Utica Comets3Hartford Wolf Pack0LSommaire du match
37247Springfield Thunderbirds3Hartford Wolf Pack1LSommaire du match
40272Providence Bruins5Hartford Wolf Pack2LSommaire du match
42286Hartford Wolf Pack3Bridgeport Islanders4LSommaire du match
43301Hartford Wolf Pack0Abbotsford Canucks1LSommaire du match
45312Iowa Wild5Hartford Wolf Pack0LSommaire du match
47335Milwaukee Admirals0Hartford Wolf Pack4WSommaire du match
49345Hartford Wolf Pack2San Diego Gulls5LSommaire du match
54372San Jose Barracuda5Hartford Wolf Pack1LSommaire du match
59396Tucson Roadrunners-Hartford Wolf Pack-
61416Hartford Wolf Pack-LeHigh Valley Phantoms-
62425Hartford Wolf Pack-Calgary Wranglers-
65437Iowa Wild-Hartford Wolf Pack-
67458Hartford Wolf Pack-Coachella Valley Firebirds-
68466Chicago Wolves-Hartford Wolf Pack-
71478Hartford Wolf Pack-Charlotte Checkers-
73495Hartford Wolf Pack-Syracuse Crunch-
75503Syracuse Crunch-Hartford Wolf Pack-
79531Colorado Eagles-Hartford Wolf Pack-
81544Hartford Wolf Pack-Hershey Bears-
88562Hershey Bears-Hartford Wolf Pack-
89581Hartford Wolf Pack-Wilkes-Barre/Scranton Penguins-
91596Belleville Senators-Hartford Wolf Pack-
94615Hartford Wolf Pack-Laval Rocket-
96629LeHigh Valley Phantoms-Hartford Wolf Pack-
98641Hartford Wolf Pack-Ontario Reign-
99658Hartford Wolf Pack-Belleville Senators-
101669Laval Rocket-Hartford Wolf Pack-
103689LeHigh Valley Phantoms-Hartford Wolf Pack-
107715Hartford Wolf Pack-Bakersfield Condors-
108724Rochester Americans-Hartford Wolf Pack-
110746Henderson Silver Knights-Hartford Wolf Pack-
113761Hartford Wolf Pack-Texas Stars-
115778Toronto Marlies-Hartford Wolf Pack-
117791Hartford Wolf Pack-Toronto Marlies-
120813Bridgeport Islanders-Hartford Wolf Pack-
122821Hartford Wolf Pack-Rochester Americans-
126844Ontario Reign-Hartford Wolf Pack-
129870Wilkes-Barre/Scranton Penguins-Hartford Wolf Pack-
143888Hartford Wolf Pack-San Diego Gulls-
146904Charlotte Checkers-Hartford Wolf Pack-
149921Hartford Wolf Pack-Chicago Wolves-
150939Wilkes-Barre/Scranton Penguins-Hartford Wolf Pack-
154963Utica Comets-Hartford Wolf Pack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159994Grand Rapids Griffins-Hartford Wolf Pack-
1671023Hartford Wolf Pack-LeHigh Valley Phantoms-
1681027Manitoba Moose-Hartford Wolf Pack-
1701040Hartford Wolf Pack-Rockford IceHogs-
1731058Manitoba Moose-Hartford Wolf Pack-
1741063Hartford Wolf Pack-Syracuse Crunch-
1781090Cleveland Monsters-Hartford Wolf Pack-
1811102Hartford Wolf Pack-Manitoba Moose-
1841117Hartford Wolf Pack-Utica Comets-
1861122Cleveland Monsters-Hartford Wolf Pack-
1871126Hartford Wolf Pack-Providence Bruins-
1911139Hartford Wolf Pack-Manitoba Moose-
1931149Hartford Wolf Pack-Utica Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance22,55311,464
Assistance PCT93.97%95.53%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 2835 - 94.49% 94,529$1,134,352$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
483,836$ 1,618,350$ 1,120,750$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,342$ 483,836$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,268,704$ 136 8,342$ 1,134,512$




Hartford Wolf Pack 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

Hartford Wolf Pack 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

Hartford Wolf Pack 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

Hartford Wolf Pack 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

Hartford Wolf Pack 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