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Connexion

Hershey
GP: 82 | W: 33 | L: 39 | OTL: 10 | P: 76
GF: 306 | GA: 326 | PP%: 19.35% | PK%: 78.08%
DG: Stéphane Paquette | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Hershey
33-39-10, 76pts
6
FINAL
3 Hartford
32-41-9, 73pts
Team Stats
L1SéquenceL2
18-18-5Fiche domicile19-17-5
15-21-5Fiche domicile13-24-4
7-3-0Derniers 10 matchs5-4-1
3.73Buts par match 3.74
3.98Buts contre par match 4.27
19.35%Pourcentage en avantage numérique20.86%
78.08%Pourcentage en désavantage numérique73.41%
Hershey
33-39-10, 76pts
3
FINAL
6 Laval
48-29-5, 101pts
Team Stats
L1SéquenceW2
18-18-5Fiche domicile22-14-5
15-21-5Fiche domicile26-15-0
7-3-0Derniers 10 matchs5-5-0
3.73Buts par match 4.32
3.98Buts contre par match 3.77
19.35%Pourcentage en avantage numérique22.19%
78.08%Pourcentage en désavantage numérique78.57%
Meneurs d'équipe
Buts
Brett Connolly
35
Passes
Jake Muzzin
44
Points
Tomas Tatar
76
Plus/Moins
Tucker Poolman
10
Victoires
Mikko Koskinen
17
Pourcentage d’arrêts
Jaroslav Halak
0.932

Statistiques d’équipe
Buts pour
306
3.73 GFG
Tirs pour
3652
44.54 Avg
Pourcentage en avantage numérique
19.3%
71 GF
Début de zone offensive
40.9%
Buts contre
326
3.98 GAA
Tirs contre
3821
46.60 Avg
Pourcentage en désavantage numérique
78.1%%
73 GA
Début de la zone défensive
42.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,281
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure20
Limite contact 38 / 50
Espoirs48


Historique d'équipe

Saison actuelle33-39-10 (76PTS)
Historique108-110-22 (0.450%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)5-5
Coupe Stanley1


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
1Nathan GerbeXX100.00793287626570867172677070777969185000342550,000$
2Josh JoorisXX100.00642499708377856682677067856463315000312750,000$
3Drew LarmanXXX97.00703784467366847458717270699878115000372550,000$
4Tomas TatarXX100.00693493787285967570707357886558485000312550,000$
5Frans NielsenX100.0071329052786994699167686984918285000382550,000$
6Brian FlynnXXX100.00712195667370886681667070756365225000332550,000$
7Brett ConnollyX95.00743292768878797571717664816360545000302550,000$
8Michael SgarbossaXX100.00693288707577866878666657795954415000292725,000$
9Gregory HofmannXX100.00633095778376756670656864756161475000292950,000$
10Travis HamonicX100.0073505367768388531534987546968345000322550,000$
11Chad RuhwedelX100.00822690717978824950494990757373205000322550,000$
12Kevin ConnautonX100.00683571708080915550525086746052415000321999,000$
13Jake MuzzinX100.007134746787869856505252867572713750003321,500,000$
14Alex GoligoskiX100.006033975574658461355257898191901750003621,450,000$
15Tucker PoolmanX100.00782590758286834450444286756261385000292950,000$
Rayé
1Justin AbdelkaderXXX95.007440815775688468596873718491781850003511,250,000$
MOYENNE D’ÉQUIPE99.1971328666787686646161637477736830500
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
1Mikko Koskinen96.0068829184818581838282777878285000332550,000$
2Riku Helenius100.0060928281738383888669738281185000342550,000$
Rayé
MOYENNE D’ÉQUIPE98.006487878377848286847675808023500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods72827770909674CAN533625,000$


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
1Tomas TatarHershey (WSH)LW/RW78344276-73408985408982628.33%16155819.9910102010128401181172246.58%29200010.9813000312
2Nathan GerbeHershey (WSH)LW/RW77293867-3360145612708320810.74%13136117.6881018752320002212049.31%14400000.9801000542
3Brett ConnollyHershey (WSH)LW60353267-1360104863286720810.67%20136122.68881677227112141766148.83%42800110.9800000554
4Jake MuzzinHershey (WSH)D79214465-11875118101212711629.91%193184723.381012221052970225231210%000100.7000001241
5Drew LarmanHershey (WSH)C/LW/RW65263056-3420851011865111413.98%23133020.47911204623711261824242.67%129600110.8411000224
6Brandon SutterWashingtonC/RW44203151-31403276213501519.39%1487019.7771421651690110513155.85%74300001.1701000231
7Alex GoligoskiHershey (WSH)D64113748-1828101473183551156.01%166143122.3741418872360220196100%000000.6700101202
8Josh JoorisHershey (WSH)C/RW7921264741804577267621657.87%18117714.9110120510000222150.00%12000000.8002000022
9Chad RuhwedelHershey (WSH)D75153146-115608896184631088.15%154166922.2671118912800001224120%000000.5500000041
10Kevin ConnautonHershey (WSH)D80838463475637313944945.76%123140017.51246491210002135110%000000.6600001101
11Brian FlynnHershey (WSH)C/LW/RW82162945-1142084119237711986.75%11130615.93145271330001203050.93%91500000.6900000013
12Gregory HofmannHershey (WSH)LW/RW81182341-61803771204491688.82%14106213.12000121012441144.26%12200000.7700000123
13Travis HamonicHershey (WSH)D8023840-101203015171150401211.33%94142817.86099641690003120000%000000.5600123010
14Justin AbdelkaderHershey (WSH)C/LW/RW621921403380125107201561309.45%18123319.9046106121410181642145.23%128000000.6500000024
15Frans NielsenHershey (WSH)C76142539945584159208471226.73%21124616.40145211230003921059.40%194100000.6303100022
16Tucker PoolmanHershey (WSH)D807202710315614965204310.77%107107413.4400008112184100%200000.5000000010
17Michael SgarbossaHershey (WSH)C/LW824812-1017546476917525.80%225056.1600001000030149.89%45900000.4711001000
18Kailer YamamotoWashingtonLW/RW43145208121941215.79%17819.56101818000010039.84%12300001.0200000010
Statistiques d’équipe totales ou en moyenne1248303514817-607116513791464354394824338.55%10282194417.587311719089828105914561894321450.53%786500330.74312327233532
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)44171980.9213.6826402216220380100.62584428820
2Riku HeleniusHershey (WSH)39161920.9104.16226525015717370100.80053844403
3Jake OettingerWashington21100.9243.53119207920000020100
4Jaroslav HalakWashington11000.9323.0060003440000012000
Statistiques d’équipe totales ou en moyenne863539100.9163.88508429232939110201385741323


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange 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 10Lien
Alex GoligoskiHershey (WSH)D361985-07-30No187 Lbs5 ft11NoNoNoNo2Pro & Farm1,450,000$8,480$0$0$No1,450,000$
Brett ConnollyHershey (WSH)LW301992-05-02No199 Lbs6 ft3NoNoNoNo2Pro & Farm550,000$3,216$0$0$No550,000$Lien
Brian FlynnHershey (WSH)C/LW/RW331988-07-26No191 Lbs6 ft1NoNoNoNo2Pro & Farm550,000$3,216$0$0$No550,000$Lien
Chad RuhwedelHershey (WSH)D321990-05-07 11:57:50No191 Lbs5 ft11NoNoNoNo2Pro & Farm550,000$3,216$0$0$No550,000$Lien
Drew LarmanHershey (WSH)C/LW/RW371985-05-15No186 Lbs6 ft3NoNoNoNo2Pro & Farm550,000$3,216$0$0$No550,000$
Frans NielsenHershey (WSH)C381984-04-24No188 Lbs6 ft1NoNoNoNo2Pro & Farm550,000$3,216$0$0$No550,000$Lien
Gregory HofmannHershey (WSH)LW/RW291992-11-13 06:59:55No194 Lbs6 ft0NoNoNoNo2Pro & Farm950,000$5,556$0$0$No950,000$
Jake MuzzinHershey (WSH)D331989-02-21No219 Lbs6 ft3NoNoNoNo2Pro & Farm1,500,000$8,772$0$0$No1,500,000$Lien
Josh JoorisHershey (WSH)C/RW311990-07-14No190 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$4,386$0$0$No750,000$Lien
Justin AbdelkaderHershey (WSH)C/LW/RW351987-02-25No212 Lbs6 ft1NoNoNoNo1Pro & Farm1,250,000$7,310$0$0$No
Kevin ConnautonHershey (WSH)D321990-02-23No204 Lbs6 ft2NoNoNoNo1Pro & Farm999,000$5,842$0$0$NoLien
Michael SgarbossaHershey (WSH)C/LW291992-07-25No191 Lbs6 ft0NoNoNoNo2Pro & Farm725,000$4,240$0$0$No725,000$Lien
Mikko KoskinenHershey (WSH)G331988-07-18 14:38:42No206 Lbs6 ft7NoNoNoNo2Pro & Farm550,000$3,216$0$0$No550,000$Lien
Nathan GerbeHershey (WSH)LW/RW341987-07-24No175 Lbs5 ft6NoNoNoNo2Pro & Farm550,000$3,216$0$0$No550,000$
Riku HeleniusHershey (WSH)G341988-01-10 17:37:02No218 Lbs6 ft3NoNoNoNo2Pro & Farm550,000$3,216$0$0$No550,000$
Tomas TatarHershey (WSH)LW/RW311990-12-01No189 Lbs5 ft10NoNoNoNo2Pro & Farm550,000$3,216$0$0$No550,000$Lien
Travis HamonicHershey (WSH)D321990-01-19No219 Lbs6 ft3NoNoNoNo2Pro & Farm550,000$3,216$0$0$No550,000$
Tucker PoolmanHershey (WSH)D291993-06-08 09:17:17No199 Lbs6 ft2NoNoNoNo2Pro & Farm950,000$5,556$0$0$No950,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1832.67198 Lbs6 ft11.89781,889$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett ConnollyTomas Tatar33122
2Nathan GerbeDrew LarmanBrian Flynn32122
3Gregory HofmannFrans NielsenJosh Jooris30122
4Brett ConnollyMichael Sgarbossa5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex GoligoskiJake Muzzin35122
2Chad RuhwedelKevin Connauton30122
3Travis HamonicTucker Poolman25122
4Alex GoligoskiJake Muzzin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett ConnollyTomas Tatar50122
2Nathan GerbeDrew LarmanBrian Flynn50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex GoligoskiJake Muzzin50122
2Chad RuhwedelKevin Connauton50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett Connolly50122
2Tomas TatarDrew Larman50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex GoligoskiJake Muzzin50122
2Chad RuhwedelKevin Connauton50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Connolly50122Alex GoligoskiJake Muzzin50122
250122Chad RuhwedelKevin Connauton50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett Connolly50122
2Tomas TatarDrew Larman50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alex GoligoskiJake Muzzin50122
2Chad RuhwedelKevin Connauton50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett ConnollyTomas TatarAlex GoligoskiJake Muzzin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett ConnollyTomas TatarAlex GoligoskiJake Muzzin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Frans Nielsen, Josh Jooris, Gregory HofmannFrans Nielsen, Josh JoorisGregory Hofmann
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Travis Hamonic, Tucker Poolman, Chad RuhwedelTravis HamonicTucker Poolman, Chad Ruhwedel
Tirs de pénalité
Brett Connolly, , Tomas Tatar, Drew Larman, Frans Nielsen
Gardien
#1 : Mikko Koskinen, #2 : Riku Helenius
Lignes d’attaque personnalisées en prolongation
Brett Connolly, , Tomas Tatar, Drew Larman, Frans Nielsen, Nathan Gerbe, Nathan Gerbe, Brian Flynn, Josh Jooris, Gregory Hofmann, Michael Sgarbossa
Lignes de défense personnalisées en prolongation
Alex Goligoski, Jake Muzzin, Chad Ruhwedel, Kevin Connauton, Travis Hamonic


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
1Abbotsford2010010046-21010000034-11000010012-110.250481200120998278312491139121859113253447500.00%16193.75%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
2Bakersfield2020000057-21010000012-11010000045-100.00059140012099827841249113912185990241827600.00%90100.00%11743370647.03%1752387445.22%688148346.39%1884124219726481105549
3Bridgeport624000002024-43120000078-1312000001316-340.333203757001209982727112491139121859255755512332412.50%23769.57%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
4Charlotte724001002127-631200000712-5412001001415-150.357213859001209982730112491139121859305877113833824.24%28871.43%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
5Cleveland411020001917220002000972211000001010060.75019345300120998271881249113912185916042186023626.09%8187.50%11743370647.03%1752387445.22%688148346.39%1884124219726481105549
6Coachella Valley413000001722-520200000711-4211000001011-120.25017314800120998272021249113912185921563437525312.00%18477.78%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
7Eagles2010100067-11010000013-21000100054120.50061218001209982781124911391218597016122510220.00%5260.00%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
8Grand Rapids43100000191182200000093621100000108260.75019335201120998271951249113912185915748277212433.33%15473.33%11743370647.03%1752387445.22%688148346.39%1884124219726481105549
9Hartford6420000026197321000001495321000001210280.667264773001209982731812491139121859252746110531825.81%25484.00%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
10Iowa2110000078-11010000025-31100000053220.50071219001209982710212491139121859812914419111.11%7271.43%11743370647.03%1752387445.22%688148346.39%1884124219726481105549
11Laval421000012020021000001119221100000911-250.62520355500120998271601249113912185924367447016531.25%17194.12%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
12Lehigh Valley706001002034-14403001001319-630300000715-810.07120385800120998272671249113912185936994911212627.69%321165.63%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
13Manitoba2010010079-21000010045-11010000034-110.2507142100120998278512491139121859843227401000.00%10280.00%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
14Ontario21000001541110000004221000000112-130.7505813001209982795124911391218596718193110110.00%60100.00%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
15Providence6320010023194321000001073311001001312170.583234063011209982728612491139121859262936910035720.00%25580.00%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
16Rochester413000001219-72110000047-320200000812-420.25012203200120998271771249113912185919242347713646.15%16662.50%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
17Rockford2100010010911000010045-11100000064230.7501018280012099827791249113912185911643163810220.00%8275.00%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
18San Diego2020000039-61010000026-41010000013-200.00036900120998276412491139121859114362627400.00%11281.82%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
19San Jose21100000871110000004221010000045-120.5008152300120998278212491139121859973714378225.00%7271.43%11743370647.03%1752387445.22%688148346.39%1884124219726481105549
20Springfield2000011010100100000106511000010045-130.750101626001209982794124911391218591122314407228.57%7185.71%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
21Syracuse21100000990110000004311010000056-120.50091625001209982781124911391218591053320287228.57%7271.43%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
22Texas220000001367110000007251100000064241.000132538001209982711212491139121859732920349222.22%10280.00%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
23Wilkes-Barre/Scranton622011002223-1301011001416-23210000087170.583223961001209982724512491139121859289745310226415.38%23482.61%01743370647.03%1752387445.22%688148346.39%1884124219726481105549
Total82283904812306326-2041141803411147152-541142101401159174-15760.46330655185702120998273652124911391218593821110480014583677119.35%3337378.08%51743370647.03%1752387445.22%688148346.39%1884124219726481105549
_Since Last GM Reset82283904812306326-2041141803411147152-541142101401159174-15760.46330655185702120998273652124911391218593821110480014583677119.35%3337378.08%51743370647.03%1752387445.22%688148346.39%1884124219726481105549
_Vs Conference58212903401219235-1629101303201105108-329111600200114127-13530.4572193926110212099827261012491139121859269975956610432725720.96%2305576.09%21743370647.03%1752387445.22%688148346.39%1884124219726481105549
_Vs Division29101801300107117-101549012005759-21469001005058-8250.431107195302001209982712891249113912185913253592785111382417.39%1112775.68%11743370647.03%1752387445.22%688148346.39%1884124219726481105549

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8276L1306551857365238211104800145802
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8228394812306326
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4114183411147152
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4114211401159174
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3677119.35%3337378.08%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
1249113912185912099827
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
1743370647.03%1752387445.22%688148346.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1884124219726481105549


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
15Lehigh Valley4Hershey3BLXSommaire du match
316Hershey3Lehigh Valley4ALSommaire du match
419Hershey6Charlotte3AWSommaire du match
741Charlotte2Hershey4BWSommaire du match
952Hershey1Wilkes-Barre/Scranton3ALSommaire du match
1166Bridgeport4Hershey2BLSommaire du match
1481Hartford5Hershey2BLSommaire du match
1695Hershey1Bridgeport5ALSommaire du match
17101Hershey3Charlotte4ALXSommaire du match
20116Providence3Hershey5BWSommaire du match
21127Cleveland4Hershey5BWXSommaire du match
24145Lehigh Valley5Hershey4BLSommaire du match
26156Hershey7Grand Rapids3AWSommaire du match
27163Hershey5Providence1AWSommaire du match
29177Hershey4Providence6ALSommaire du match
31188Providence0Hershey2BWSommaire du match
33199Hershey5Rochester6ALSommaire du match
35212Rochester1Hershey3BWSommaire du match
36222Hershey1San Diego3ALSommaire du match
39236Hershey7Bridgeport3AWSommaire du match
40243Laval4Hershey7BWSommaire du match
43260Hershey4Providence5ALXSommaire du match
44266Lehigh Valley6Hershey4BLSommaire du match
47284Hershey5Bridgeport8ALSommaire du match
48288Hartford2Hershey6BWSommaire du match
50305Wilkes-Barre/Scranton8Hershey7BLXSommaire du match
53321Texas2Hershey7BWSommaire du match
56337Ontario2Hershey4BWSommaire du match
58348Hershey2Hartford4ALSommaire du match
59360Hershey4San Jose5ALSommaire du match
61371San Jose2Hershey4BWSommaire du match
65386Rockford5Hershey4BLXSommaire du match
68408Hershey3Manitoba4ALSommaire du match
69415Charlotte4Hershey1BLSommaire du match
71429Hershey4Wilkes-Barre/Scranton2AWSommaire du match
73438Abbotsford4Hershey3BLSommaire du match
75455Hershey5Iowa3AWSommaire du match
76462Charlotte6Hershey2BLSommaire du match
79480Manitoba5Hershey4BLXSommaire du match
80486Hershey1Ontario2ALXXSommaire du match
83504Hershey5Eagles4AWXSommaire du match
84510Bakersfield2Hershey1BLSommaire du match
87527Hershey4Springfield5ALXSommaire du match
89535San Diego6Hershey2BLSommaire du match
91551Hershey1Abbotsford2ALXSommaire du match
92558Hartford2Hershey6BWSommaire du match
95575Hershey2Charlotte4ALSommaire du match
96580Hershey5Syracuse6ALSommaire du match
98587Eagles3Hershey1BLSommaire du match
101605Providence4Hershey3BLSommaire du match
103620Hershey3Charlotte4ALSommaire du match
104629Hershey6Coachella Valley5AWSommaire du match
105635Hershey6Rockford4AWSommaire du match
107642Iowa5Hershey2BLSommaire du match
109657Springfield5Hershey6BWXXSommaire du match
112678Rochester6Hershey1BLSommaire du match
116698Laval5Hershey4BLXXSommaire du match
118709Hershey2Cleveland4ALSommaire du match
119720Hershey3Grand Rapids5ALSommaire du match
121730Bridgeport1Hershey3BWSommaire du match
124747Cleveland3Hershey4BWXSommaire du match
125753Hershey4Coachella Valley6ALSommaire du match
127764Hershey8Cleveland6AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
129774Bridgeport3Hershey2BLSommaire du match
134795Syracuse3Hershey4BWSommaire du match
137810Hershey3Wilkes-Barre/Scranton2AWSommaire du match
139821Coachella Valley4Hershey3BLSommaire du match
141832Hershey4Bakersfield5ALSommaire du match
143844Lehigh Valley4Hershey2BLSommaire du match
145855Hershey2Lehigh Valley5ALSommaire du match
146859Hershey3Rochester6ALSommaire du match
148873Coachella Valley7Hershey4BLSommaire du match
150886Hershey6Texas4AWSommaire du match
151893Wilkes-Barre/Scranton3Hershey4BWXSommaire du match
155915Wilkes-Barre/Scranton5Hershey3BLSommaire du match
156922Hershey4Hartford3AWSommaire du match
157925Hershey2Lehigh Valley6ALSommaire du match
160942Grand Rapids3Hershey5BWSommaire du match
162953Hershey6Laval5AWSommaire du match
166964Grand Rapids0Hershey4BWSommaire du match
169977Hershey6Hartford3AWSommaire du match
170981Hershey3Laval6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance62,93230,588
Assistance PCT76.75%74.60%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2281 - 76.03% 133,822$5,486,722$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,060,515$ 1,407,400$ 1,407,400$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,230$ 1,439,165$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 11,885$ 11,885$




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
1Morgan Geekie2381411763177698202560111112.69%60468719.69305181244000924454.55%61.3535
2Pierre Engvall2181281743029376199340118310.82%49432419.843539742441236201045.86%41.4018
3Justin Danforth23894123217-81243314899479.93%53457219.214042822662352518754.46%20.9528
4Colin Blackwell1606211417638881903926649.34%34324420.28103444154404146252.08%01.0902
5Tyler Lewington24034135169325015501975086.69%386550522.94827352460119460%00.6100

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 Enroth112604620.9143.31645112435641480200.76913
2Anthony Stolarz94563220.9083.9654824236239480000.60010
3Jonas Gustavsson38181730.9063.1222694011812510120.7508

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
2182373508101366341254116200410017817264121150400118816919923666431009011431268993993133513771240463562102581315373647821.43%3448276.16%52105390753.88%1858355752.24%790155850.71%1962133118946241083543
2182373508101366341254116200410017817264121150400118816919923666431009011431268993993133513771240463562102581315373647821.43%3448276.16%52105390753.88%1858355752.24%790155850.71%1962133118946241083543
Total Saison régulière246891100162236899924-2512344510101233448452-41234559061003451472-212448991605250419345293242251018934213239340216310402304324144299108619417.86%99821078.96%1551941066248.72%51441092347.09%2059430847.79%568737835911193432901636
Séries éliminatoires
2022166000007450241183000003625111183000003825133274124198012323262796236258257457312141813911172420.51%781087.18%146592850.11%42785050.24%16135545.35%551376560180298147
Total Séries éliminatoires1055000003235-34310000018135624000001422-810325789111489145313610813376354104103198581220.69%381171.05%029751857.34%25443358.66%11118460.33%2811892699215376

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
1Pierre Engvall2141620523746824.88%347722.75012122300020148.15%00.8400
2Justin Danforth2111920510343511010.00%346322.0664103100033044.12%10.8600
3Morgan Geekie218111941232567310.96%345021.451562100003355.24%10.8400
4Drake Caggiula225121740735707.14%546321.052461800001050.00%00.7300
5Brendan Perlini22881641237247011.43%145920.890441700002046.88%00.7000

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
1Jonas Gustavsson1614110.9401.901009013253001000
2Jhonas Enroth62220.9102.70400201820100000