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Hershey
GP: 82 | W: 42 | L: 32 | OTL: 8 | P: 92
GF: 287 | GA: 272 | PP%: 14.77% | PK%: 80.72%
DG: | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Tucson
34-38-10, 78pts
5
FINAL
6 Hershey
42-32-8, 92pts
Team Stats
W1StreakW4
20-16-5Home Record21-15-5
14-22-5Away Record21-17-3
4-4-2Last 10 Games8-2-0
2.99Buts par match 3.50
3.91Buts contre par match 3.32
18.54%Pourcentage en avantage numérique14.77%
78.84%Pourcentage en désavantage numérique80.72%
Hershey
42-32-8, 92pts
4
FINAL
1 Lehigh Valley
39-29-14, 92pts
Team Stats
W4StreakL3
21-15-5Home Record24-12-5
21-17-3Away Record15-17-9
8-2-0Last 10 Games2-6-2
3.50Buts par match 3.62
3.32Buts contre par match 3.35
14.77%Pourcentage en avantage numérique19.01%
80.72%Pourcentage en désavantage numérique80.51%
Meneurs d'équipe
Buts
Justin Abdelkader
30
Passes
Justin Abdelkader
48
Points
Justin Abdelkader
78
Plus/Moins
Justin Abdelkader
30
Victoires
Mikko Koskinen
25
Pourcentage d’arrêts
Karel Vejmelka
0.915

Statistiques d’équipe
Buts pour
287
3.50 GFG
Tirs pour
2885
35.18 Avg
Pourcentage en avantage numérique
14.8%
52 GF
Début de zone offensive
41.8%
Buts contre
272
3.32 GAA
Tirs contre
2760
33.66 Avg
Pourcentage en désavantage numérique
80.7%%
64 GA
Début de la zone défensive
40.9%
Informations de l'équipe

Directeur général
EntraîneurJack Capuano
DivisionAtlantique
ConférenceConference est
CapitaineSam Gagner
Assistant #1Michael Sgarbossa
Assistant #2Drew Larman


Informations de l’aréna

Capacité3,000
Assistance2,301
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure20
Limite contact 42 / 50
Espoirs41


Historique d'équipe

Saison actuelle42-32-8 (92PTS)
Historique84-64-20 (0.500%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Jori LehteraXXX100.00683089628177877083667267796965265000331880,000$
2Sam Gagner (C)XXX100.00642491717868856972686858786059325000322905,000$
3Nathan GerbeXX100.00823290646773867373687372787666225000333550,000$
4Mattias RitolaXXX100.00582592547670817071636660777866255000341875,000$
5Drew Larman (A)XXX100.00704088517269847361707170699577145000363550,000$
6Tomas TatarXX100.00723797807286957571697458906158535000303550,000$
7Frans NielsenX100.00743294578072947290687270858982115000373550,000$
8Brian FlynnXXX100.00712195687372886781657371755961265000323550,000$
9Justin AbdelkaderXXX100.007540856075718469616874718489792250003421,250,000$
10Brett ConnollyX100.00773295769079797370697464806258595000293550,000$
11Michael Sgarbossa (A)XX100.00703187717479867080686759795651475000281600,000$
12Trevor MooreXX100.007423958078819270716974687653486350002622,550,000$
13Bob SanguinettiX100.00653281587981875232484781736550305000331855,000$
14Jakub KindlX100.00583592587873895034650844863553650003311,150,000$
15Ryan StantonX100.00653278687670914750465177485748325000311825,000$
16Chad RuhwedelX100.00882595748180814850494890756969245000313550,000$
17Vladimir MihalikX100.00652976538679924727464980687665225000341850,000$
18Theo PeckamX100.00804652478265793924364380736657165000332775,000$
Rayé
1Emerson EtemXX100.00672793767973846572646360775456405000294550,000$
MOYENNE D’ÉQUIPE100.0071318865787587636060647174686232500
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Karel Vejmelka (R)100.0071909091809190918889804949745000251500,000$
2Riku Helenius100.0062928291789392979579837877225000333550,000$
Rayé
1Mikko Koskinen100.0067829199869390929192877575325000323550,000$
MOYENNE D’ÉQUIPE100.006788889481929193918783676743500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano95787887949972USA5411,500,000$


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
1Justin AbdelkaderHershey (WSH)C/LW/RW823048783050101371482868718710.49%16158819.37611175928600051176149.61%178400020.9801002743
2Brett ConnollyHershey (WSH)LW7628447222300941052597218710.81%10142018.68111122514401141236251.85%24300021.0122000432
3Drew LarmanHershey (WSH)C/LW/RW7828305822435921072035612413.79%16149619.195914552861236833047.23%61400010.7812001327
4Brian FlynnHershey (WSH)C/LW/RW792031511716059110216641259.26%11120915.31279522411124955151.06%66200000.8400000151
5Tomas TatarHershey (WSH)LW/RW62183149-13155875231841547.79%11122419.745813441710002840052.82%14200000.8001001016
6Frans NielsenHershey (WSH)C65143347432066160182671317.69%18116217.8925721890113942057.13%159100000.8102000131
7Travis HamonicWashingtonD66123143131173511077118385910.17%106144521.897411762460001170100.00%000000.6001034211
8Mattias RitolaHershey (WSH)C/LW/RW82162137-21802194145429211.03%5100512.270111210001164053.17%93100000.7400000111
9Jakub KindlHershey (WSH)D7610263615295325779215312.66%107133217.53426271030001186110.00%000000.5400001113
10Bob SanguinettiHershey (WSH)D807283512600107609533677.37%120162820.36134432520224183100.00%000000.4300000114
11Michael SgarbossaHershey (WSH)C/LW737273413207510113233945.30%6106614.60156111250001232049.89%43900000.6400000111
12Sam GagnerHershey (WSH)C/LW/RW8218153321004567157428911.46%596511.771782512020221523146.51%43000100.6800000123
13Chad RuhwedelHershey (WSH)D7211223333808471105286110.48%130157921.93437542071012177110.00%000000.4200000421
14Nathan GerbeHershey (WSH)LW/RW68112031-22808465138451097.97%691513.47347311820001873049.69%15900000.6800000110
15Trevor MooreHershey (WSH)LW/RW421417314300335514233949.86%860514.431231146000001232.43%3700001.0200000113
16Vladimir MihalikHershey (WSH)D821020303480664695405910.53%118177921.70336463110113183100.00%000010.3401000210
17Jake DotchinWashingtonD36325281616032365122425.88%6190325.092911291360001122100.00%000000.6200000130
18Alexander NylanderWashingtonLW/RW2091625-180184072236912.50%341520.7524612640000370153.78%37000001.2000000031
19Jori LehteraHershey (WSH)C/LW/RW4791120-1116033499133769.89%958612.471238360002731152.85%33300000.6800000000
20Theo PeckamHershey (WSH)D8261420712725118404592613.33%72105812.9100007000082000.00%000000.3800302021
21Ryan StantonHershey (WSH)D553912-63352929328249.38%3970512.83101633000035000.00%000000.3400001001
22Emerson EtemHershey (WSH)LW/RW20246-66016223416315.88%734117.09000000000600044.44%2700000.3500000100
23Brendan SmithWashingtonD4235-12037114818.18%49323.48123614000013000.00%000001.0600000001
Statistiques d’équipe totales ou en moyenne14292885268141418209014121621291990019619.87%8882452917.175310215564231295813432204421151.73%776200160.663103312333841
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
1Mikko KoskinenHershey (WSH)47251460.8973.3426814314914510000.600104636511
2Riku HeleniusHershey (WSH)229920.9043.13124801656760000.00%02042310
3Karel VejmelkaHershey (WSH)178900.9153.2099501536200010.00%0164201
Statistiques d’équipe totales ou en moyenne86423280.9033.2549254526727470011082821022


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Bob SanguinettiHershey (WSH)D331988-02-29No209 Lbs6 ft3NoNoNoNo1Pro & Farm855,000$0$0$No
Brett ConnollyHershey (WSH)LW291992-05-02No199 Lbs6 ft3NoNoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$Lien
Brian FlynnHershey (WSH)C/LW/RW321988-07-26No191 Lbs6 ft1NoNoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$Lien
Chad RuhwedelHershey (WSH)D311990-05-07 11:57:50No191 Lbs5 ft11NoNoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$Lien
Drew LarmanHershey (WSH)C/LW/RW361985-05-15No186 Lbs6 ft3NoNoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$
Emerson Etem (contrat à 1 volet)Hershey (WSH)LW/RW291992-06-16No219 Lbs6 ft1NoNoYesYes4Pro & Farm550,000$5,500$0$No550,000$550,000$550,000$Lien
Frans NielsenHershey (WSH)C371984-04-24No188 Lbs6 ft1NoNoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$Lien
Jakub KindlHershey (WSH)D331987-09-01No224 Lbs6 ft3NoNoNoNo1Pro & Farm1,150,000$0$0$NoLien
Jori LehteraHershey (WSH)C/LW/RW331987-12-23No212 Lbs6 ft2NoNoNoNo1Pro & Farm880,000$0$0$NoLien
Justin AbdelkaderHershey (WSH)C/LW/RW341987-02-25No212 Lbs6 ft1NoNoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$
Karel VejmelkaHershey (WSH)G251996-05-25 06:13:49Yes224 Lbs6 ft3NoNoNoNo1Pro & Farm500,000$0$0$NoLien
Mattias RitolaHershey (WSH)C/LW/RW341987-03-14No210 Lbs6 ft0NoNoNoNo1Pro & Farm875,000$0$0$No
Michael SgarbossaHershey (WSH)C/LW281992-07-25No191 Lbs6 ft0NoNoNoNo1Pro & Farm600,000$0$0$NoLien
Mikko KoskinenHershey (WSH)G321988-07-18 14:38:42No206 Lbs6 ft7NoNoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$Lien
Nathan GerbeHershey (WSH)LW/RW331987-07-24No175 Lbs5 ft6NoNoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$
Riku HeleniusHershey (WSH)G331988-01-10 17:37:02No218 Lbs6 ft3NoNoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$
Ryan StantonHershey (WSH)D311989-07-20No203 Lbs6 ft2NoNoNoNo1Pro & Farm825,000$0$0$NoLien
Sam GagnerHershey (WSH)C/LW/RW321989-05-10No210 Lbs5 ft11NoNoNoNo2Pro & Farm905,000$0$0$No905,000$
Theo PeckamHershey (WSH)D331987-11-10No234 Lbs6 ft2NoNoNoNo2Pro & Farm775,000$0$0$No775,000$
Tomas TatarHershey (WSH)LW/RW301990-12-01No189 Lbs5 ft10NoNoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$Lien
Trevor Moore (contrat à 1 volet)Hershey (WSH)LW/RW261995-03-31No186 Lbs5 ft10NoNoYesYes2Pro & Farm2,550,000$25,500$0$No2,550,000$Lien
Vladimir MihalikHershey (WSH)D341987-01-29No239 Lbs6 ft7NoNoNoNo1Pro & Farm850,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2231.73205 Lbs6 ft12.14796,136$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew LarmanBrian FlynnTomas Tatar35122
2Brett ConnollyFrans NielsenJustin Abdelkader32122
3Trevor MooreMattias RitolaMichael Sgarbossa32122
4Nathan GerbeBrian FlynnSam Gagner1122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan StantonChad Ruhwedel33122
2Jakub KindlBob Sanguinetti33122
3Vladimir MihalikTheo Peckam33122
4Jakub KindlVladimir Mihalik1122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tomas TatarDrew Larman60122
2Brian FlynnJustin AbdelkaderTrevor Moore40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Theo PeckamVladimir Mihalik60122
2Bob SanguinettiChad Ruhwedel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brian FlynnJori Lehtera60122
2Justin AbdelkaderNathan Gerbe40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladimir MihalikChad Ruhwedel60122
2Jakub KindlBob Sanguinetti40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Chad RuhwedelVladimir Mihalik60122
2Justin Abdelkader40122Jakub KindlBob Sanguinetti40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tomas Tatar54122
2Frans NielsenJustin Abdelkader46122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad RuhwedelBob Sanguinetti55122
2Theo PeckamVladimir Mihalik45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew LarmanBrian FlynnTomas TatarBob SanguinettiTheo Peckam
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin AbdelkaderBrian FlynnDrew LarmanTheo PeckamChad Ruhwedel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brian Flynn, Nathan Gerbe, Sam GagnerMattias Ritola, Trevor Moore
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vladimir Mihalik, Theo Peckam, Jakub KindlVladimir MihalikTheo Peckam, Jakub Kindl
Tirs de pénalité
Vladimir Mihalik, Frans Nielsen, Drew Larman, Justin Abdelkader,
Gardien
#1 : Riku Helenius, #2 : Karel Vejmelka


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
1Abbotsford22000000954110000005321100000042241.00091625001059578116992396196645681416178337.50%8187.50%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
2Bakersfield22000000633110000002021100000043141.00061117011059578116692396196645481616387114.29%8187.50%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
3Charlotte714001011826-8311000011212040300100614-840.286182947001059578112519239619664519771901213612.78%31390.32%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
4Cleveland4120100011110211000006602010100055040.500112031001059578111419239619664513046288214214.29%14192.86%11708325052.55%1640317551.65%683134250.89%1919129819666381078536
5Grand Rapids41300000815-72110000055020200000310-720.25081422101059578111229239619664513831485923417.39%15566.67%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
6Hartford6300201031171430002010141133300000017611121.000315283011059578112359239619664519768649124625.00%30776.67%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
7Iowa2100010010821000010056-11100000052330.75010182800105957811819239619664554228271119.09%2150.00%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
8Laval4310000020101021100000880220000001221060.750203656011059578111399239619664512347535720630.00%18288.89%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
9Lehigh Valley624000002023-330300000914-532100000119240.3332037570010595781117092396196645240755011123313.04%25676.00%11708325052.55%1640317551.65%683134250.89%1919129819666381078536
10Manitoba210001008621000010034-11100000052330.75081523001059578118792396196645711910429111.11%5340.00%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
11Milwaukee211000003301010000002-21100000031220.500358001059578117492396196645581714271000.00%6183.33%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
12Ontario2010000124-21010000012-11000000112-110.25024600105957811599239619664576182825800.00%130100.00%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
13Providence413000001116-52110000067-12020000059-420.25011203100105957811127923961966451614338671317.69%18288.89%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
14Rochester42002000191182100100086221001000115681.000193554011059578111519239619664512133327017317.65%13376.92%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
15Rockford22000000743110000004311100000031241.000712190010595781167923961966456710133310220.00%4325.00%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
16San Diego211000001011-1110000006511010000046-220.500101727001059578119192396196645692420265240.00%10370.00%21708325052.55%1640317551.65%683134250.89%1919129819666381078536
17San Jose31200000121202110000010731010000025-320.33312223400105957811889239619664512934316211218.18%12558.33%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
18Springfield21001000633110000002021000100043141.00061117011059578117592396196645621718241218.33%9188.89%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
19Texas2010010069-31000010045-11010000024-210.2506915001059578116592396196645671716359111.11%80100.00%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
20Toronto412001001113-2210001009632020000027-530.37511182900105957811132923961966451365557751200.00%20480.00%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
21Tucson412010001316-32010100089-12110000057-240.500132235001059578111519239619664514440436910220.00%19478.95%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
22Utica6230100024240312000001213-1311010001211160.5002442660010595781121692396196645195574410627414.81%21385.71%11708325052.55%1640317551.65%683134250.89%1919129819666381078536
23Wilkes-Barre/Scranton632001002222032100000151413110010078-170.5832238600010595781122892396196645209617711933618.18%23578.26%01708325052.55%1640317551.65%683134250.89%1919129819666381078536
Total8233320861228727215411615044111541486411717042011331249920.56128750379015105957811288592396196645276083581413833525214.77%3326480.72%51708325052.55%1640317551.65%683134250.89%1919129819666381078536
_Since Last GM Reset8233320861228727215411615044111541486411717042011331249920.56128750379015105957811288592396196645276083581413833525214.77%3326480.72%51708325052.55%1640317551.65%683134250.89%1919129819666381078536
_Vs Conference5520240631119518872710110311110410222810130320091865580.5271953415361310595781119129239619664518475875819582423614.88%2284182.02%31708325052.55%1640317551.65%683134250.89%1919129819666381078536
_Vs Division2811130321110897111447020115658-2147601200523913330.58910818929701105957811990923961966459713072635091212117.36%1132280.53%31708325052.55%1640317551.65%683134250.89%1919129819666381078536

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8292W428750379028852760835814138315
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8233328612287272
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116154411154148
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117174201133124
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3525214.77%3326480.72%5
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
92396196645105957811
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
1708325052.55%1640317551.65%683134250.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1919129819666381078536


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
1 - 2022-11-252Hershey1Charlotte3ALSommaire du match
4 - 2022-11-2622Charlotte6Hershey5BLXXSommaire du match
8 - 2022-11-2836Wilkes-Barre/Scranton7Hershey4BLSommaire du match
10 - 2022-11-2951Hartford4Hershey5BWXSommaire du match
12 - 2022-11-3062Hershey7Hartford3AWSommaire du match
13 - 2022-12-0167Hershey3Wilkes-Barre/Scranton1AWSommaire du match
15 - 2022-12-0276Hershey1Lehigh Valley4ALSommaire du match
17 - 2022-12-0389Lehigh Valley4Hershey2BLSommaire du match
20 - 2022-12-04106Hartford4Hershey5BWXSommaire du match
22 - 2022-12-05118Hershey1Charlotte4ALSommaire du match
24 - 2022-12-06129Hershey3Utica5ALSommaire du match
25 - 2022-12-07135Utica4Hershey2BLSommaire du match
27 - 2022-12-08149Laval3Hershey4BWSommaire du match
29 - 2022-12-09158Hershey3Charlotte5ALSommaire du match
33 - 2022-12-11176Toronto2Hershey6BWSommaire du match
37 - 2022-12-13195Hershey1Tucson4ALSommaire du match
38 - 2022-12-13204Iowa6Hershey5BLXSommaire du match
42 - 2022-12-15223Providence3Hershey5BWSommaire du match
46 - 2022-12-17243Texas5Hershey4BLXSommaire du match
48 - 2022-12-18257Hershey4Bakersfield3AWSommaire du match
50 - 2022-12-19268Bakersfield0Hershey2BWSommaire du match
53 - 2022-12-21281Hershey1Charlotte2ALXSommaire du match
55 - 2022-12-22292San Diego5Hershey6BWSommaire du match
57 - 2022-12-23306Hershey3Cleveland2AWXSommaire du match
58 - 2022-12-23315Rockford3Hershey4BWSommaire du match
61 - 2022-12-25329Hershey4Abbotsford2AWSommaire du match
63 - 2022-12-26341Toronto4Hershey3BLXSommaire du match
66 - 2022-12-27357Hershey2Cleveland3ALSommaire du match
68 - 2022-12-28366Wilkes-Barre/Scranton3Hershey5BWSommaire du match
70 - 2022-12-29377Hershey3Milwaukee1AWSommaire du match
72 - 2022-12-30387Laval5Hershey4BLSommaire du match
74 - 2022-12-31395Hershey4Utica2AWSommaire du match
76 - 2023-01-01406Hershey4Springfield3AWXSommaire du match
78 - 2023-01-02414Wilkes-Barre/Scranton4Hershey6BWSommaire du match
82 - 2023-01-04436Manitoba4Hershey3BLXSommaire du match
86 - 2023-01-06457Grand Rapids4Hershey3BLSommaire du match
87 - 2023-01-07463Hershey5Utica4AWXSommaire du match
91 - 2023-01-09481Hershey4Tucson3AWSommaire du match
92 - 2023-01-09485Springfield0Hershey2BWSommaire du match
96 - 2023-01-11506Utica6Hershey10BWSommaire du match
98 - 2023-01-12520Hershey1Ontario2ALXXSommaire du match
99 - 2023-01-13528Lehigh Valley3Hershey2BLSommaire du match
102 - 2023-01-14544Hershey5Manitoba2AWSommaire du match
104 - 2023-01-15551Hershey4San Diego6ALSommaire du match
105 - 2023-01-16557Ontario2Hershey1BLSommaire du match
110 - 2023-01-18578Utica3Hershey0BLSommaire du match
112 - 2023-01-19589Hershey1Toronto5ALSommaire du match
114 - 2023-01-20597Hershey4Hartford3AWSommaire du match
115 - 2023-01-21605Grand Rapids1Hershey2BWSommaire du match
121 - 2023-01-24626Rochester3Hershey4BWSommaire du match
125 - 2023-01-26649Cleveland3Hershey1BLSommaire du match
127 - 2023-01-27661Hershey2Texas4ALSommaire du match
128 - 2023-01-27672Milwaukee2Hershey0BLSommaire du match
130 - 2023-01-28677Hershey5Iowa2AWSommaire du match
133 - 2023-01-30694Hershey6Hartford0AWSommaire du match
134 - 2023-01-30699Cleveland3Hershey5BWSommaire du match
138 - 2023-02-01719San Jose4Hershey2BLSommaire du match
141 - 2023-02-03728Hershey2Wilkes-Barre/Scranton3ALXSommaire du match
143 - 2023-02-04744Tucson4Hershey2BLSommaire du match
145 - 2023-02-05753Hershey2Wilkes-Barre/Scranton4ALSommaire du match
146 - 2023-02-05759Hershey1Toronto2ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2023-02-06770Lehigh Valley7Hershey5BLSommaire du match
153 - 2023-02-09793Providence4Hershey1BLSommaire du match
155 - 2023-02-10799Hershey2San Jose5ALSommaire du match
158 - 2023-02-11817Abbotsford3Hershey5BWSommaire du match
161 - 2023-02-13835Hershey5Rochester0AWSommaire du match
162 - 2023-02-13841San Jose3Hershey8BWSommaire du match
165 - 2023-02-15855Hershey2Grand Rapids7ALSommaire du match
167 - 2023-02-16866Charlotte4Hershey2BLSommaire du match
170 - 2023-02-17877Hershey1Grand Rapids3ALSommaire du match
171 - 2023-02-18880Hershey6Rochester5AWXSommaire du match
173 - 2023-02-19892Rochester3Hershey4BWXSommaire du match
175 - 2023-02-20901Hershey3Laval0AWSommaire du match
178 - 2023-02-21914Hershey3Providence6ALSommaire du match
179 - 2023-02-22916Charlotte2Hershey5BWSommaire du match
180 - 2023-02-22918Hershey6Lehigh Valley4AWSommaire du match
183 - 2023-02-24930Hershey3Rockford1AWSommaire du match
184 - 2023-02-24938Hershey2Providence3ALSommaire du match
186 - 2023-02-25944Hartford3Hershey4BWXXSommaire du match
189 - 2023-02-27956Hershey9Laval2AWSommaire du match
192 - 2023-02-28965Tucson5Hershey6BWXSommaire du match
193 - 2023-03-01970Hershey4Lehigh Valley1AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance63,15031,193
Assistance PCT77.01%76.08%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2301 - 76.70% 134,779$5,525,940$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,918,782$ 1,441,500$ 1,441,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,280$ 1,418,840$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 14,856$ 0$




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
1Justin Danforth1486086146367221829056610.60%26328522.201636521240221016651.4540.89412
2Morgan Geekie1607468142168417632452214.18%20332820.801618341160001412456.5340.8526
3Pierre Engvall1245680136345620230848211.62%34284622.95182644104202128046.0400.96212
4Tom Kuhnhackl1624690136404818819244210.41%18332220.5112324412400088048.8420.82414
5Drake Caggiula1644072112-1436601865467.33%26308518.8110182814000062656.9000.7322

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
1Jhonas Enroth92523240.9202.5853908823229120400.76926
2Jonas Gustavsson76363460.9063.1245388023625020240.75016

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
Saison régulière
20823633041442672402741269011221671026541102403022100138-38932674617282494818411271389288290458270981473913493375516.32%3074884.36%21590309151.44%1559316349.29%618126748.78%1911129519876431071525
20823633041442672402741269011221671026541102403022100138-38932674617282494818411271389288290458270981473913493375516.32%3074884.36%21590309151.44%1559316349.29%618126748.78%1911129519876431071525
Total Saison régulière1646664016122457454430823230088223082961282343408402266248181845741006158021021019015622577018461922193290552016701628276670410414.77%66412880.72%103416650052.55%3280635051.65%1366268450.89%383925963933127621571073
Séries éliminatoires
Total Séries éliminatoires00000000000000.00%0.00%0.00%0.00%0.00%000000

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