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Connexion

Hershey Bears
GP: 2 | W: 1 | L: 1
GF: 5 | GA: 6 | PP%: 33.33% | PK%: 70.00%
DG: Sébastien Gagné | Morale : 41 | Moyenne d’équipe : 60
Prochains matchs #17 vs Providence Bruins

Centre de jeu
Providence Bruins
1-1-0, 2pts
2
0 Hershey Bears
1-1-0, 2pts
Team Stats
L1SéquenceW1
0-0-0Fiche domicile1-1-0
1-1-0Fiche domicile0-0-0
1-1-0Derniers 10 matchs1-1-0
3.00Buts par match 2.50
2.50Buts contre par match 3.00
30.00%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique70.00%
Providence Bruins
1-1-0, 2pts
4
5 Hershey Bears
1-1-0, 2pts
Team Stats
L1SéquenceW1
0-0-0Fiche domicile1-1-0
1-1-0Fiche domicile0-0-0
1-1-0Derniers 10 matchs1-1-0
3.00Buts par match 2.50
2.50Buts contre par match 3.00
30.00%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique70.00%
Hershey Bears
1-1-0, 2pts
Jour 5
Providence Bruins
1-1-0, 2pts
Statistiques d’équipe
W1SéquenceL1
1-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-1-0
1-1-010 derniers matchs1-1-0
2.50Buts par match 3.00
3.00Buts contre par match 3.00
33.33%Pourcentage en avantage numérique30.00%
70.00%Pourcentage en désavantage numérique66.67%
Hershey Bears
1-1-0, 2pts
Jour 7
Providence Bruins
1-1-0, 2pts
Statistiques d’équipe
W1SéquenceL1
1-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-1-0
1-1-010 derniers matchs1-1-0
2.50Buts par match 3.00
3.00Buts contre par match 3.00
33.33%Pourcentage en avantage numérique30.00%
70.00%Pourcentage en désavantage numérique66.67%
Providence Bruins
1-1-0, 2pts
Jour 9
Hershey Bears
1-1-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-0-0
1-1-010 derniers matchs1-1-0
3.00Buts par match 2.50
2.50Buts contre par match 2.50
30.00%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique70.00%
Meneurs d'équipe
Buts
Adam Klapka
2
Passes
Linus Weissbach
2
Points
Adam Klapka
3
Plus/Moins
Adam Klapka
1
Victoires
Jet Greaves
1
Pourcentage d’arrêts
Jet Greaves
0.912

Statistiques d’équipe
Buts pour
5
2.50 GFG
Tirs pour
34
17.00 Avg
Pourcentage en avantage numérique
33.3%
1 GF
Début de zone offensive
24.3%
Buts contre
6
3.00 GAA
Tirs contre
68
34.00 Avg
Pourcentage en désavantage numérique
70.0%%
3 GA
Début de la zone défensive
52.4%
Informations de l'équipe

Directeur généralSébastien Gagné
EntraîneurSteve Ott
DivisionAtlantic
ConférenceEastern
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,991
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure21
Limite Contrat50 / 72
Espoirs60


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
1Martin Pospisil0X99.008672627674827475587465707156501506702611,000,000$
2Aatu Raty0X98.00694077737574666877646464685650150620233775,000$
3Adam Klapka0XX100.007856636787726668486364676655501506202521,250,000$
4Matej Blumel0X99.00624269706466656745646362675250150600253875,000$
5Benoit-Olivier Groulx0X100.00654470677070676464625962645950150590262812,500$
6Arshdeep Bains0X100.00634270686265636444655765635250150590252775,000$
7Linus Weissbach0XX100.00534468715567666443626057655450150580283775,000$
8Ryan Greene (R)0X100.00564069697175596246595961645150150580222950,000$
9Jan Jenik0X100.00604863686263616345625758635150150570252775,000$
10Adam Boqvist0X100.00584083757984767240706666717363150660252775,000$
11Declan Chisholm0X100.006342857578827671406864727062531506602611,600,000$
12Ville Heinola0X100.00584172747075666540615968666559150630252800,000$
13Kyle Capobianco0X100.00664763686670676740655969657552150620284775,000$
14David Jiricek0X100.00654274687467626340605667625750150610225950,000$
15Jakub Zboril67X100.006042746870746962406055646161541506002911,137,500$
16Dylan Coghlan0X100.00544269686668646640616462666050150590284775,000$
17Michael Benning (R)0X100.00574366725964636440626067655150150590242775,000$
18Brandon Scanlin0X100.00634468637067666340535962625450150580262775,000$
Rayé
1Raphael Lavoie0XX100.00624465646765636444586156635250150570252775,000$
2Jacob Peterson0XX100.00584273686265626261605758635250150570261775,000$
3Nathan Smith0X100.00594468666468646354615754625350150570275775,000$
4Olle Lycksell0X100.00604070706070705060505065505050150550262775,000$
5Milo Roelens0X100.00644263586860585749545556575050150540232870,000$
6Oskar Eklind0XXX100.00604070606050605060505065505050150520272950,000$
7Nick Blankenburg0X89.16654179796782747140676474726253150660283775,000$
8Alexander Nikishin (R)0X100.00604070605050605020505060505050150530243925,000$
MOYENNE D’ÉQUIPE99.4262447069676966644761596463565115060
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
1Jet Greaves098.0080697172747780787975685652150710252812,500$
2Colten Ellis0100.0072616462666871686967575250150630252775,000$
Rayé
1Mads Sogaard0100.0065596171656262596364585250150600252775,000$
MOYENNE D’ÉQUIPE99.337263656868697168706961535115065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Ott8177748357541CAN4211,000,000$


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
1Adam KlapkaHershey Bears (WSH)C/RW221311952430266.67%03819.1010112000051038.10%2120001.5700001010
2Linus WeissbachHershey Bears (WSH)LW/RW21231004121250.00%13718.630110200000000%011001.6100000001
3Arshdeep BainsHershey Bears (WSH)LW2022120441120%54020.330110200004000%121000.9800000000
4Aatu RatyHershey Bears (WSH)C2011020152040%04623.0000012000070069.70%3310000.4300000000
5Ville HeinolaHershey Bears (WSH)D2011020241000%14221.220000100007000%011000.4700000000
6Martin PospisilHershey Bears (WSH)RW21010003312318.33%14623.2800002000170031.58%1921000.4300000000
7Raphael LavoieHershey Bears (WSH)C/RW210102011100100.00%02814.270000000000000%110000.7000000000
8Matej BlumelHershey Bears (WSH)LW2011020224030%04221.3800002000070050.00%401000.4700000000
9Benoit-Olivier GroulxHershey Bears (WSH)C2000000324100%22914.7600000000100050.00%120000000000000
10Dylan CoghlanHershey Bears (WSH)D2000175000000%063.370000000000000%00000000001000
11Michael BenningHershey Bears (WSH)D2000020000000%0136.580000000000000%00000000000000
12Nick BlankenburgHershey Bears (WSH)D2000-100120100%23417.390000200005000%00000000000000
13Kyle CapobiancoHershey Bears (WSH)D2000100030000%22412.260000000002000%00000000000000
14Jakub ZborilHershey Bears (WSH)D2000000000000%0136.540000000000000%00000000000000
15Adam BoqvistHershey Bears (WSH)D2000000233100%34522.750000300008000%00000000000000
16Declan ChisholmHershey Bears (WSH)D2000000071100%14221.060000100008000%01200000000000
17David JiricekHershey Bears (WSH)D2000100010000%02010.220000000000000%00000000000000
18Ryan GreeneHershey Bears (WSH)C2000020330000%13015.3100000000000058.33%120100000000000
Statistiques d’équipe totales ou en moyenne3658135401028453491414.71%1958216.191232230002671050.49%103118000.4500002011
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
1Jet GreavesHershey Bears (WSH)21100.9123.001200066834000020000
Statistiques d’équipe totales ou en moyenne21100.9123.00120006683400020000


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
Aatu RatyHershey Bears (WSH)C232002-11-14FINNo190 Lbs6 ft2NoNoTrade2025-07-01NoNo32025-06-30FalseFalsePro & Farm775,000$553,571$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Adam BoqvistHershey Bears (WSH)D252000-08-15SWENo191 Lbs6 ft0NoNoN/ANoNo22026-05-19FalseFalsePro & Farm775,000$553,571$0$0$No775,000$--------775,000$--------No--------
Adam Klapka (contrat à 1 volet)Hershey Bears (WSH)C/RW252000-09-14CZENo235 Lbs6 ft8NoNoTrade2024-10-31NoNo22025-06-20FalseFalsePro & Farm1,250,000$892,857$1,250,000$892,857$No1,250,000$--------1,250,000$--------No--------
Alexander NikishinHershey Bears (WSH)D242001-10-02RUSYes218 Lbs6 ft3NoNoProspectNoNo32026-04-27FalseFalsePro & Farm925,000$660,714$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Arshdeep BainsHershey Bears (WSH)LW252001-01-09CANNo183 Lbs6 ft1NoNoN/ANoNo22025-06-30FalseFalsePro & Farm775,000$553,571$0$0$No775,000$--------775,000$--------No--------
Benoit-Olivier GroulxHershey Bears (WSH)C262000-02-06CANNo194 Lbs6 ft2NoNoN/ANoNo22025-07-01FalseFalsePro & Farm812,500$580,357$0$0$No812,500$--------812,500$--------No--------
Brandon ScanlinHershey Bears (WSH)D261999-06-02CANNo214 Lbs6 ft4NoNoN/ANoNo22025-06-16FalseFalsePro & Farm775,000$553,571$0$0$No775,000$--------775,000$--------No--------
Colten EllisHershey Bears (WSH)G252000-10-05CANNo185 Lbs6 ft1NoNoN/ANoNo22025-06-16FalseFalsePro & Farm775,000$553,571$0$0$No775,000$--------775,000$--------No--------
David JiricekHershey Bears (WSH)D222003-11-28CZENo205 Lbs6 ft4NoNoN/ANoNo52025-06-16FalseFalsePro & Farm950,000$678,571$0$0$No950,000$950,000$950,000$950,000$-----950,000$950,000$950,000$950,000$-----NoNoNoNo-----
Declan Chisholm (contrat à 1 volet)Hershey Bears (WSH)D262000-01-12CANNo190 Lbs6 ft1NoNoN/ANoNo12025-06-30FalseFalsePro & Farm1,600,000$1,142,857$1,600,000$1,142,857$No---------------------------
Dylan CoghlanHershey Bears (WSH)D281998-02-19CANNo205 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm775,000$553,571$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Jacob PetersonHershey Bears (WSH)C/LW261999-07-19SWENo170 Lbs6 ft1NoNoN/ANoNo12025-06-16FalseFalsePro & Farm775,000$553,571$0$0$No---------------------------
Jakub ZborilHershey Bears (WSH)D291997-02-21CZENo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,137,500$812,500$0$0$No---------------------------
Jan JenikHershey Bears (WSH)C252000-09-15CZENo192 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$553,571$0$0$No775,000$--------775,000$--------No--------
Jet GreavesHershey Bears (WSH)G252001-03-30CANNo190 Lbs6 ft0NoNoN/ANoNo22026-05-19FalseFalsePro & Farm812,500$580,357$0$0$No812,500$--------812,500$--------No--------
Kyle CapobiancoHershey Bears (WSH)D281997-08-13CANNo196 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm775,000$553,571$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Linus WeissbachHershey Bears (WSH)LW/RW281998-04-19SWENo175 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm775,000$553,571$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Mads SogaardHershey Bears (WSH)G252000-12-13DENNo196 Lbs6 ft7NoNoN/ANoNo22026-05-19FalseFalsePro & Farm775,000$553,571$0$0$No775,000$--------775,000$--------No--------
Martin PospisilHershey Bears (WSH)RW261999-11-19SVKNo173 Lbs6 ft2NoNoTrade2024-08-30NoNo12025-08-02FalseFalsePro & Farm1,000,000$714,286$0$0$No---------------------------
Matej BlumelHershey Bears (WSH)LW252000-05-31CZENo198 Lbs6 ft0NoNoFree AgentNoNo32025-07-28FalseFalsePro & Farm875,000$625,000$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------
Michael BenningHershey Bears (WSH)D242002-01-05CANYes176 Lbs5 ft9NoNoTrade2026-01-21NoNo22026-05-19FalseFalsePro & Farm775,000$553,571$0$0$No775,000$--------775,000$--------No--------
Milo RoelensHershey Bears (WSH)C232003-01-16CANNo216 Lbs6 ft7NoNoTrade2024-10-31NoNo22024-10-21FalseFalsePro & Farm870,000$621,429$0$0$No870,000$--------870,000$--------No--------
Nathan SmithHershey Bears (WSH)C271998-10-19USANo198 Lbs6 ft0NoNoN/ANoNo52025-06-16FalseFalsePro & Farm775,000$553,571$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Nick BlankenburgHershey Bears (WSH)D281998-05-12USANo177 Lbs5 ft9NoNoN/ANoNo32025-06-16FalseFalsePro & Farm775,000$553,571$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Olle LycksellHershey Bears (WSH)C261999-08-24SWENo176 Lbs5 ft11NoNoProspectNoNo22025-07-01FalseFalsePro & Farm775,000$553,571$0$0$No775,000$--------775,000$--------No--------
Oskar EklindHershey Bears (WSH)C/LW/RW271998-07-14SWENo220 Lbs6 ft4NoNoTrade2024-10-31NoNo22024-10-17FalseFalsePro & Farm950,000$678,571$0$0$No950,000$--------950,000$--------No--------
Raphael LavoieHershey Bears (WSH)C/RW252000-09-25CANNo196 Lbs6 ft4NoNoN/ANoNo22025-06-16FalseFalsePro & Farm775,000$553,571$0$0$No775,000$--------775,000$--------No--------
Ryan GreeneHershey Bears (WSH)C222003-10-21CANYes174 Lbs6 ft1NoNoProspectNoNo22026-02-16FalseFalsePro & Farm950,000$678,571$0$0$No950,000$--------950,000$--------No--------
Ville HeinolaHershey Bears (WSH)D252001-03-02FINNo181 Lbs6 ft0NoNoN/ANoNo22025-06-16FalseFalsePro & Farm800,000$571,429$0$0$No800,000$--------800,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.48193 Lbs6 ft22.38873,534$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matej BlumelAatu RatyMartin Pospisil35122
2Arshdeep BainsAdam KlapkaLinus Weissbach35122
3Ryan GreeneBenoit-Olivier GroulxJan Jenik20122
4Martin PospisilRyan GreeneAatu Raty10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan ChisholmAdam Boqvist35122
2Ville HeinolaKyle Capobianco35122
3David JiricekJakub Zboril20122
4Michael BenningDylan Coghlan10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matej BlumelAatu RatyMartin Pospisil50122
2Arshdeep BainsAdam KlapkaLinus Weissbach50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan ChisholmAdam Boqvist50122
2Ville HeinolaKyle Capobianco50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Martin PospisilAatu Raty50122
2Adam KlapkaMatej Blumel50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan ChisholmAdam Boqvist50122
2Ville HeinolaKyle Capobianco50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Martin Pospisil50122Declan ChisholmAdam Boqvist50122
2Aatu Raty50122Ville HeinolaKyle Capobianco50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Martin PospisilAatu Raty50122
2Adam KlapkaMatej Blumel50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan ChisholmAdam Boqvist50122
2Ville HeinolaKyle Capobianco50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matej BlumelAatu RatyMartin PospisilDeclan ChisholmAdam Boqvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matej BlumelAatu RatyMartin PospisilDeclan ChisholmAdam Boqvist
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Benoit-Olivier Groulx, Jan Jenik, Arshdeep BainsBenoit-Olivier Groulx, Jan JenikArshdeep Bains
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Scanlin, David Jiricek, Jakub ZborilBrandon ScanlinDavid Jiricek, Jakub Zboril
Tirs de pénalité
Martin Pospisil, Aatu Raty, Adam Klapka, Matej Blumel, Arshdeep Bains
Gardien
#1 : Jet Greaves, #2 : Colten Ellis


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
TotalDomicile Visiteur
# 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 RI
1Providence Bruins2110000056-12110000056-10000000000020.5005813000320341310110681940283133.33%10370.00%0142556.00%245444.44%142458.33%331448193719
Total2110000056-12110000056-10000000000020.5005813000320341310110681940283133.33%10370.00%0142556.00%245444.44%142458.33%331448193719
_Since Last GM Reset2110000056-12110000056-10000000000020.5005813000320341310110681940283133.33%10370.00%0142556.00%245444.44%142458.33%331448193719
_Vs Conference2110000056-12110000056-10000000000020.5005813000320341310110681940283133.33%10370.00%0142556.00%245444.44%142458.33%331448193719
_Vs Division2110000056-12110000056-10000000000020.5005813000320341310110681940283133.33%10370.00%0142556.00%245444.44%142458.33%331448193719

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
22W15813346819402800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
211000056
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000056
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
110000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3133.33%10370.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
13101100320
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
142556.00%245444.44%142458.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
331448193719


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
11Providence Bruins2Hershey Bears 0LSommaire du match
39Providence Bruins4Hershey Bears 5WSommaire du match
517Hershey Bears -Providence Bruins-
725Hershey Bears -Providence Bruins-
933Providence Bruins-Hershey Bears -
1141Hershey Bears -Providence Bruins-
1349Providence Bruins-Hershey Bears -



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance3,9812,000
Assistance PCT99.53%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
41 2991 - 99.68% 126,155$252,309$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,248,250$ 2,248,250$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 10 0$ 0$




Hershey Bears 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 Bears 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 Bears 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 Bears 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 Bears 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