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Connexion

Hershey
GP: 82 | W: 40 | L: 32 | OTL: 10 | P: 90
GF: 264 | GA: 255 | PP%: 19.73% | PK%: 82.37%
DG: Stéphane Paquette | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Hershey
40-32-10, 90pts
4
2 Syracuse
32-41-9, 73pts
Team Stats
L1SéquenceL6
21-17-3Fiche domicile13-24-4
19-15-7Fiche domicile19-17-5
4-4-2Derniers 10 matchs1-8-1
3.22Buts par match 2.76
3.11Buts contre par match 3.55
19.73%Pourcentage en avantage numérique17.24%
82.37%Pourcentage en désavantage numérique80.72%
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
Buts
Phil Kessel
28
Passes
Jake Dotchin
54
Points
Jake Dotchin
67
Plus/Moins
Jake Dotchin
16
Victoires
Jhonas Enroth
16
Pourcentage d’arrêts
Jhonas Enroth
0.925

Statistiques d’équipe
Buts pour
264
3.22 GFG
Tirs pour
2860
34.88 Avg
Pourcentage en avantage numérique
19.7%
59 GF
Début de zone offensive
40.6%
Buts contre
255
3.11 GAA
Tirs contre
2939
35.84 Avg
Pourcentage en désavantage numérique
82.4%%
52 GA
Début de la zone défensive
41.8%
Informations de l'équipe

Directeur généralStéphane Paquette
EntraîneurBob Woods
DivisionAtlantique
ConférenceConference est
Capitaine
Assistant #1Luke Glendening
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,182
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 50
Espoirs66


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
1Filip ChlapikXX96.0077388675807790707365666115146515000272750,000$
2Max VeronneauX100.00622798739170816472636660775148475000281775,000$
3Cody HodgsonXXX100.006429866178879269766970568573633150003411,900,000$
4Luke Glendening (A)XX97.007425916480729066936467717483871150003521,101,999$
5J.T. BrownXX100.00563295726972746563656662665655245000332701,000$
6Brett ConnollyX100.00702995738575817070667161806865455000322650,000$
7Micheal FerlandXX100.00724268728779796969676659776473425000322750,000$
8Tanner KeroXXX100.00652798717672917084677163786355385000312750,000$
9Gregory HofmannXX100.006227937580747564716464607668673850003141,600,000$
10Jake DotchinX100.00694176729187905653565389786157435000303950,000$
11Radko GudasX96.00993568658486974870544292758585305000342950,000$
12Nate SchmidtX100.006138906776859054505452887265704050003211,650,000$
13Igor OzhiganovX100.007133717190778651505251896965544650003121,100,000$
14Robert HaggX99.00843754798694945655564986735656595000292950,000$
15Jacob Bryson (R)X100.00713095777578984450484289705353585000261500,000$
Rayé
1Casey CizikasXX96.007229956770707966846470707869753050003321,501,999$
2Phil KesselXX100.005729896883709970696972678387812050003611,950,000$
3Alexander BurmistrovXXX100.006628937384779274607369658064583550003221,550,000$
4Adam GaudetteXXX98.006928988779868774797074658452525650002712,000,000$
5Nick SeelerX100.00724859708674924450414782745955435000312725,000$
MOYENNE D’ÉQUIPE99.1070338572827888626761617273656339500
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
1Jhonas Enroth98.0069787871738887848673548786245000361900,000$
Rayé
1Aaron Dell95.0067807977748686858777828585325000352750,000$
2Jaroslav Halak100.00628182756884858587707699992250003922,001,000$
MOYENNE D’ÉQUIPE97.676680807472868685877371909026500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods72827770909674CAN551625,000$


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
1Jake DotchinHershey (WSH)D821354671644204790165541207.88%145174521.2871623902440443241210%000000.7700022532
2Alexander BurmistrovHershey (WSH)C/LW/RW732430540220831262126215511.32%14154121.1148124120602232015044.57%168500110.7005000722
3Robert HaggHershey (WSH)D82134154-890101649317238927.56%133182622.2781018992440111213200%000000.5900002231
4Tanner KeroHershey (WSH)C/LW/RW7619345371203459231751568.23%7125316.506101650211000121159.32%17700000.8500000024
5Luke GlendeningHershey (WSH)C/RW8018335113520105148184511339.78%16159619.9649134723911292184158.19%169800000.6403000121
6Igor OzhiganovHershey (WSH)D82143549125410627214945899.40%124172721.079817812451013229120%000000.5700101143
7Phil KesselHershey (WSH)LW/RW69282048718048561814912515.47%11146021.164594020233671922549.50%20200000.6614000252
8Brett ConnollyHershey (WSH)LW76212647113558861253721838.30%6131217.2741014532290001253048.03%12700010.7212010224
9Radko GudasHershey (WSH)D7893645-712401728711136678.11%134184223.634913472330221179100%000010.4900000040
10Casey CizikasHershey (WSH)C/LW79202343-2300721531884613010.64%18124515.7612364821341504254.63%162000210.6904000323
11Adam GaudetteHershey (WSH)C/LW/RW24919281140274589245910.11%553022.1135817690002561150.63%71100001.0612000121
12Cody HodgsonHershey (WSH)C/LW/RW82141327-724051441373312510.22%3114513.971457510000482046.09%11500000.4701000102
13Micheal FerlandHershey (WSH)LW/RW7481927-10621012148156561035.13%5100213.5411212480000150041.86%8600000.5400101112
14Nate SchmidtHershey (WSH)D8271724-1160426664214510.94%94122314.9213448000012000%000000.3900000010
15Gregory HofmannHershey (WSH)LW/RW64121224-82354144115338210.43%482212.85066767000014248.98%9800000.5800000111
16Filip ChlapikHershey (WSH)C/LW82814220415835510018768.00%137198.7700000000003046.00%82600000.6100100031
17Jacob BrysonHershey (WSH)D7451621230082625215329.62%88117115.8300010000096110%000000.3600000201
18Dominik KahunWashingtonLW/RW2641216-620422911023573.64%650719.5322424730001401052.59%11600000.6311000101
19J.T. BrownHershey (WSH)LW/RW829514-38014199420699.57%15616.8400001000061147.06%5100000.5000000001
20Max VeronneauHershey (WSH)RW824610-26016207822375.13%54845.9100012000000060.00%5500000.4100000000
21Nick SeelerHershey (WSH)D61347-1371520161931215.79%292964.85000413101131000%000000.4700003200
Statistiques d’équipe totales ou en moyenne1510262469731247348014141393286079619479.16%8612401515.9059108167631244381422371964381751.34%756700340.61422339323732
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
1Jhonas EnrothHershey (WSH)2516810.9252.67150720678940210.85772526411
2Jaroslav HalakHershey (WSH)36141840.9083.2121484011512490100.60053634540
3Aaron DellHershey (WSH)2110550.9192.94124500617490000.62582020331
Statistiques d’équipe totales ou en moyenne824031100.9162.9749026024328920312081801282


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
Aaron DellHershey (WSH)G351989-05-04CANNo203 Lbs6 ft0NoNoFree AgentNoNo22025-09-21FalseFalsePro & Farm750,000$3,846$0$0$No750,000$--------750,000$--------No--------Lien
Adam Gaudette (contrat à 1 volet)Hershey (WSH)C/LW/RW271996-10-03USANo175 Lbs6 ft1NoNoTrade2025-03-17YesYes1FalseFalsePro & Farm2,000,000$60,000$20,000$600$No---------------------------Lien
Alexander BurmistrovHershey (WSH)C/LW/RW321991-10-21RUSNo187 Lbs6 ft1NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm1,550,000$7,949$0$0$No1,550,000$--------1,550,000$--------No--------Lien
Brett ConnollyHershey (WSH)LW321992-05-02CANNo199 Lbs6 ft3NoNoFree AgentNoNo22025-09-26FalseFalsePro & Farm650,000$3,333$0$0$No650,000$--------650,000$--------No--------Lien
Casey CizikasHershey (WSH)C/LW331991-02-27CANNo200 Lbs5 ft11NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm1,501,999$7,703$0$0$No1,501,999$--------1,501,999$--------No--------Lien / Lien NHL
Cody HodgsonHershey (WSH)C/LW/RW341990-02-18CANNo202 Lbs6 ft0NoNoFree AgentNoNo12024-09-23FalseFalsePro & Farm1,900,000$9,744$0$0$No---------------------------Lien
Filip ChlapikHershey (WSH)C/LW271997-06-03CZENo197 Lbs6 ft2NoNoFree AgentNoNo22025-09-21FalseFalsePro & Farm750,000$3,846$0$0$No750,000$--------750,000$--------No--------Lien
Gregory Hofmann (contrat à 1 volet)Hershey (WSH)LW/RW311992-11-13CHENo194 Lbs6 ft0NoNoN/AYesYes42025-09-11FalseFalsePro & Farm1,600,000$48,000$16,000$480$No1,600,000$1,600,000$1,600,000$------1,600,000$1,600,000$1,600,000$------NoNoNo------
Igor OzhiganovHershey (WSH)D311992-10-13RUSNo212 Lbs6 ft2NoNoTrade2025-07-22NoNo2FalseFalsePro & Farm1,100,000$5,641$0$0$No1,100,000$--------1,100,000$--------No--------Lien
J.T. BrownHershey (WSH)LW/RW331990-07-02USANo179 Lbs5 ft10NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm701,000$3,595$0$0$No701,000$--------701,000$--------No--------Lien
Jacob BrysonHershey (WSH)D261997-11-18CANYes176 Lbs5 ft9NoNoProspectNoNo12025-10-17FalseFalsePro & Farm500,000$2,564$0$0$No---------------------------
Jake DotchinHershey (WSH)D301993-08-06CANNo215 Lbs6 ft3NoNoN/ANoNo32025-09-09FalseFalsePro & Farm950,000$4,872$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Jaroslav HalakHershey (WSH)G391985-05-13SLONo194 Lbs5 ft11NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm2,001,000$10,262$0$0$No2,001,000$--------2,001,000$--------No--------
Jhonas EnrothHershey (WSH)G361988-06-25SWENo175 Lbs5 ft10NoNoTrade2025-10-23NoNo12024-09-21FalseFalsePro & Farm900,000$4,615$0$0$No---------------------------Lien
Luke GlendeningHershey (WSH)C/RW351989-04-28USANo190 Lbs5 ft11NoNoFree AgentNoNo22025-09-30FalseFalsePro & Farm1,101,999$5,651$0$0$No1,101,999$--------1,101,999$--------No--------Lien / Lien NHL
Max VeronneauHershey (WSH)RW281995-12-12CANNo195 Lbs6 ft1NoNoTrade2025-07-22NoNo1FalseFalsePro & Farm775,000$3,974$0$0$No---------------------------Lien
Micheal FerlandHershey (WSH)LW/RW321992-04-20CANNo211 Lbs6 ft2NoNoFree AgentNoNo22025-09-21FalseFalsePro & Farm750,000$3,846$0$0$No750,000$--------750,000$--------No--------Lien
Nate SchmidtHershey (WSH)D321991-07-16USANo201 Lbs6 ft0NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm1,650,000$8,462$0$0$No---------------------------Lien / Lien NHL
Nick SeelerHershey (WSH)D311993-06-03USANo199 Lbs6 ft2NoNoTrade2025-07-22NoNo2FalseFalsePro & Farm725,000$3,718$0$0$No725,000$--------725,000$--------No--------Lien / Lien NHL
Phil KesselHershey (WSH)LW/RW361987-10-02USANo208 Lbs5 ft11NoNoFree AgentNoNo12024-10-02FalseFalsePro & Farm1,950,000$10,000$0$0$No---------------------------
Radko GudasHershey (WSH)D341990-06-05CZENo208 Lbs6 ft0NoNoFree Agent2025-03-11NoNo22025-09-21FalseFalsePro & Farm950,000$4,872$0$0$No950,000$--------950,000$--------No--------Lien / Lien NHL
Robert HaggHershey (WSH)D291995-02-08SWENo205 Lbs6 ft2NoNoTrade2025-07-22NoNo22025-09-09FalseFalsePro & Farm950,000$4,872$0$0$No950,000$--------950,000$--------No--------Lien
Tanner KeroHershey (WSH)C/LW/RW311992-07-24USANo192 Lbs6 ft0NoNoFree AgentNoNo22025-09-22FalseFalsePro & Farm750,000$3,846$0$0$No750,000$--------750,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2331.91196 Lbs6 ft01.831,150,261$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett ConnollyLuke Glendening35122
2Cody HodgsonTanner Kero30122
3Micheal FerlandFilip ChlapikGregory Hofmann25122
4J.T. BrownMax Veronneau10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radko GudasRobert Hagg35122
2Jake DotchinIgor Ozhiganov30122
3Nate SchmidtJacob Bryson25122
4Radko GudasRobert Hagg10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett ConnollyLuke Glendening50122
2Cody HodgsonTanner Kero50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radko GudasRobert Hagg50122
2Jake DotchinIgor Ozhiganov50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Luke Glendening50122
2Brett Connolly50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radko GudasRobert Hagg50122
2Jake DotchinIgor Ozhiganov50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Radko GudasRobert Hagg50122
2Luke Glendening50122Jake DotchinIgor Ozhiganov50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Luke Glendening50122
2Brett Connolly50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Radko GudasRobert Hagg50122
2Jake DotchinIgor Ozhiganov50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett ConnollyLuke GlendeningRadko GudasRobert Hagg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett ConnollyLuke GlendeningRadko GudasRobert Hagg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Micheal Ferland, Gregory Hofmann, J.T. BrownMicheal Ferland, Gregory HofmannJ.T. Brown
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nate Schmidt, Jacob Bryson, Jake DotchinNate SchmidtJacob Bryson, Jake Dotchin
Tirs de pénalité
, Luke Glendening, Brett Connolly, , Cody Hodgson
Gardien
#1 : , #2 : Jhonas Enroth
Lignes d’attaque personnalisées en prolongation
, Luke Glendening, Brett Connolly, , Cody Hodgson, Tanner Kero, Micheal Ferland, Gregory Hofmann, J.T. Brown, Max Veronneau
Lignes de défense personnalisées en prolongation
Radko Gudas, Robert Hagg, Jake Dotchin, Igor Ozhiganov, Nate Schmidt


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
1Abbotsford2110000046-2110000004221010000004-420.50047110094798855999986596751651814325120.00%60100.00%11632311552.39%1605320650.06%685134550.93%1939130719406251088547
2Bakersfield211000008711010000045-11100000042220.500814220094798858699986596751751614271000.00%7357.14%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
3Bridgeport623001002125-4312000001215-331100100910-150.41721396000947988523899986596751197664110827622.22%16287.50%11632311552.39%1605320650.06%685134550.93%1939130719406251088547
4Charlotte42100100911-2210001006602110000035-250.62591625009479885110999865967511674436631317.69%18288.89%11632311552.39%1605320650.06%685134550.93%1939130719406251088547
5Cleveland4400000023617220000001331022000000103781.0002342650094798851659998659675111928206727829.63%7271.43%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
6Coachella Valley21000100550110000003211000010023-130.75058130094798854799986596751692414407114.29%7185.71%21632311552.39%1605320650.06%685134550.93%1939130719406251088547
7Eagles21000100761110000004221000010034-130.750713200094798856999986596751812212334250.00%6183.33%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
8Grand Rapids440000001376220000006332200000074381.0001324370094798851249998659675112142406812325.00%20290.00%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
9Hartford43100000181172200000011472110000077060.7501833511094798851409998659675117146656816318.75%17382.35%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
10Iowa21100000761110000005321010000023-120.5007132000947988568999865967517914253410220.00%9188.89%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
11Laval431000001385220000007342110000065160.7501323360094798851539998659675114642556916212.50%18383.33%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
12Lehigh Valley512010011315-2311010007612010000169-350.5001323360094798851689998659675118945367716318.75%18288.89%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
13Manitoba2110000078-11010000024-21100000054120.50071421009479885679998659675170182941400.00%12283.33%11632311552.39%1605320650.06%685134550.93%1939130719406251088547
14Ontario302000011017-720200000410-61000000167-110.1671015250094798851179998659675112032415512216.67%16850.00%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
15Providence53200000171522200000095431200000810-260.60017294600947988518599986596751194622810914535.71%13192.31%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
16Rochester40400000815-72020000035-220200000510-500.00081321009479885133999865967511163555831417.14%18477.78%21632311552.39%1605320650.06%685134550.93%1939130719406251088547
17Rockford2020000036-31010000023-11010000013-200.0003580094798854899986596751701722329222.22%11281.82%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
18San Diego3020001058-31010000012-12010001046-220.3335611009479885105999865967511152224531417.14%11463.64%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
19San Jose200001107701000010023-11000001054130.75071219009479885639998659675168266279222.22%30100.00%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
20Springfield531001002415921100000954320001001510570.7002445690094798852079998659675115754307616531.25%15286.67%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
21Syracuse421000011415-120100001510-52200000095450.625142438009479885125999865967511616854837342.86%18288.89%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
22Texas2020000057-21010000034-11010000023-100.000591400947988561999865967516820123610220.00%4175.00%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
23Utica 422000001317-42110000078-12110000069-340.500132437009479885169999865967511444123669111.11%8187.50%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
24Wilkes-Barre/Scranton522000011012-23120000068-22100000144050.5001018280094798851539998659675117759446718316.67%17382.35%01632311552.39%1605320650.06%685134550.93%1939130719406251088547
Total823732016242642559412017012011351211441171500423129134-5900.549264469733109479885286099986596751293986174014142995919.73%2955282.37%81632311552.39%1605320650.06%685134550.93%1939130719406251088547
_Since Last GM Reset823732016242642559412017012011351211441171500423129134-5900.549264469733109479885286099986596751293986174014142995919.73%2955282.37%81632311552.39%1605320650.06%685134550.93%1939130719406251088547
_Vs Conference53281901203172157152715901101927616261310001028081-1630.59417230848010947988518639998659675119025784979281893920.63%1882785.64%41632311552.39%1605320650.06%685134550.93%1939130719406251088547
_Vs Division2814100110298861215860100056441213640010242420330.589981792771094798851033999865967519972852294531132421.24%831384.34%11632311552.39%1605320650.06%685134550.93%1939130719406251088547

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8290L126446973328602939861740141410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8237321624264255
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120171201135121
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117150423129134
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2995919.73%2955282.37%8
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
999865967519479885
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
1632311552.39%1605320650.06%685134550.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1939130719406251088547


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
212Wilkes-Barre/Scranton3Hershey5WSommaire du match
728Lehigh Valley4Hershey2LSommaire du match
1041Hershey3Bridgeport4LXSommaire du match
1251Hershey4Springfield5LXSommaire du match
1355Hershey4Providence6LSommaire du match
1570Grand Rapids1Hershey2WSommaire du match
1879Hershey1Rochester4LSommaire du match
2091Bridgeport5Hershey3LSommaire du match
23105Hershey1Providence3LSommaire du match
26118Laval1Hershey3WSommaire du match
29133Hartford1Hershey6WSommaire du match
32150Hershey3Hartford5LSommaire du match
33160Springfield4Hershey3LSommaire du match
37180Ontario6Hershey2LSommaire du match
40198Hershey3Bridgeport4LSommaire du match
42206San Diego2Hershey1LSommaire du match
44221Hershey1Rockford3LSommaire du match
47231Bakersfield5Hershey4LSommaire du match
50244Hershey3San Diego2WXXSommaire du match
51256Hershey3Eagles4LXSommaire du match
53262Rochester2Hershey1LSommaire du match
56277Hershey3Providence1WSommaire du match
58287Coachella Valley2Hershey3WSommaire du match
62308Hartford3Hershey5WSommaire du match
66329Iowa3Hershey5WSommaire du match
69344Hershey4Hartford2WSommaire du match
71354Laval2Hershey4WSommaire du match
73367Hershey2Texas3LSommaire du match
75377Hershey4Rochester6LSommaire du match
76384Manitoba4Hershey2LSommaire du match
79404Eagles2Hershey4WSommaire du match
81416Hershey0Charlotte3LSommaire du match
82424Hershey4Bakersfield2WSommaire du match
84435Grand Rapids2Hershey4WSommaire du match
86452Rochester3Hershey2LSommaire du match
89468Hershey2Iowa3LSommaire du match
92478Providence3Hershey5WSommaire du match
97502Providence2Hershey4WSommaire du match
101526Utica 6Hershey4LSommaire du match
103537Hershey5San Jose4WXXSommaire du match
106551Utica 2Hershey3WSommaire du match
108568Hershey5Manitoba4WSommaire du match
109576Ontario4Hershey2LSommaire du match
112594Hershey2Coachella Valley3LXSommaire du match
113602Lehigh Valley1Hershey2WXSommaire du match
118626Wilkes-Barre/Scranton3Hershey1LSommaire du match
122651Abbotsford2Hershey4WSommaire du match
124660Hershey0Abbotsford4LSommaire du match
127676San Jose3Hershey2LXSommaire du match
129688Hershey4Cleveland1WSommaire du match
131697Hershey2Wilkes-Barre/Scranton3LXXSommaire du match
132700Syracuse3Hershey2LXXSommaire du match
136725Syracuse7Hershey3LSommaire du match
138738Hershey6Ontario7LXXSommaire du match
139748Cleveland2Hershey6WSommaire du match
141761Hershey6Cleveland2WSommaire du match
143774Cleveland1Hershey7WSommaire du match
148792Hershey3Charlotte2WSommaire du match
149801Bridgeport6Hershey4LSommaire du match
152814Hershey5Grand Rapids3WSommaire du match
153825Springfield1Hershey6WSommaire du match
155835Hershey3Bridgeport2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158850Hershey1San Diego4LSommaire du match
159856Rockford3Hershey2LSommaire du match
162873Hershey2Wilkes-Barre/Scranton1WSommaire du match
163879Bridgeport4Hershey5WSommaire du match
166901Lehigh Valley1Hershey3WSommaire du match
168909Hershey2Grand Rapids1WSommaire du match
171919Hershey6Utica 5WSommaire du match
172926Wilkes-Barre/Scranton2Hershey0LSommaire du match
174939Hershey5Laval3WSommaire du match
177951Charlotte3Hershey4WSommaire du match
180962Hershey5Springfield4WSommaire du match
183976Texas4Hershey3LSommaire du match
184977Hershey2Lehigh Valley4LSommaire du match
185982Hershey5Syracuse3WSommaire du match
186987Hershey1Laval2LSommaire du match
1891001Charlotte3Hershey2LXSommaire du match
1901002Hershey4Lehigh Valley5LXXSommaire du match
1911005Hershey6Springfield1WSommaire du match
1921010Hershey4Syracuse2WSommaire du match
1931017Hershey0Utica 4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance60,22729,242
Assistance PCT73.45%71.32%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2182 - 72.74% 128,040$5,249,620$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,925,420$ 2,285,600$ 2,285,600$ 625,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,721$ 2,303,642$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 14,926$ 14,926$




Hershey 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

Hershey 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

Hershey 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

Hershey 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

Hershey 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