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Hershey Bears
GP: 6 | W: 2 | L: 4
GF: 12 | GA: 14 | PP%: 38.46% | PK%: 72.00%
DG: Sébastien Gagné | Morale : 41 | Moyenne d’équipe : 60

Centre de jeu
Providence Bruins
4-2-0, 8pts
1
3 Hershey Bears
2-4-0, 4pts
Team Stats
OTW1SéquenceOTL1
3-0-0Fiche domicile2-1-0
1-2-0Fiche domicile0-3-0
4-2-0Derniers 10 matchs2-2-2
2.33Buts par match 2.00
2.00Buts contre par match 2.33
28.00%Pourcentage en avantage numérique38.46%
61.54%Pourcentage en désavantage numérique72.00%
Hershey Bears
2-4-0, 4pts
2
3 Providence Bruins
4-2-0, 8pts
Team Stats
OTL1SéquenceOTW1
2-1-0Fiche domicile3-0-0
0-3-0Fiche domicile1-2-0
2-2-2Derniers 10 matchs4-2-0
2.00Buts par match 2.33
2.33Buts contre par match 2.00
38.46%Pourcentage en avantage numérique28.00%
72.00%Pourcentage en désavantage numérique61.54%
Meneurs d'équipe
Buts
Martin Pospisil
3
Passes
Martin Pospisil
3
Points
Martin Pospisil
6
Plus/Moins
Ryan Greene
2
Victoires
Jet Greaves
1
Pourcentage d’arrêts
Colten Ellis
0.935

Statistiques d’équipe
Buts pour
12
2.00 GFG
Tirs pour
126
21.00 Avg
Pourcentage en avantage numérique
38.5%
5 GF
Début de zone offensive
31.0%
Buts contre
14
2.33 GAA
Tirs contre
204
34.00 Avg
Pourcentage en désavantage numérique
72.0%%
7 GA
Début de la zone défensive
48.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,994
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 Pospisil0X100.008672627674827475587465707156501506702611,000,000$
2Adam Klapka0XX100.007856636787726668486364676655501506202521,250,000$
3Matej Blumel0X100.00624269706466656745646362675250150600253875,000$
4Benoit-Olivier Groulx0X100.00654470677070676464625962645950150590262812,500$
5Arshdeep Bains0X100.00634270686265636444655765635250150590252775,000$
6Linus Weissbach0XX100.00534468715567666443626057655450150580283775,000$
7Ryan Greene (R)0X100.00564069697175596246595961645150150580222950,000$
8Jan Jenik0X100.00604863686263616345625758635150150570252775,000$
9Raphael Lavoie0XX100.00624465646765636444586156635250150570252775,000$
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$
16Michael Benning (R)0X100.00574366725964636440626067655150150590242775,000$
Rayé
1Aatu Raty0X98.00694077737574666877646464685650150620233775,000$
2Jacob Peterson0XX100.00584273686265626261605758635250150570261775,000$
3Nathan Smith0X100.00594468666468646354615754625350150570275775,000$
4Olle Lycksell0X100.00604070706070705060505065505050150550262775,000$
5Milo Roelens0X100.00644263586860585749545556575050150540232870,000$
6Oskar Eklind0XXX100.00604070606050605060505065505050150520272950,000$
7Nick Blankenburg0X100.00654179796782747140676474726253150660283775,000$
8Dylan Coghlan0X93.74544269686668646640616462666050150590284775,000$
9Brandon Scanlin0X66.75634468637067666340535962625450150580262775,000$
10Alexander Nikishin (R)0X100.00604070605050605020505060505050150530243925,000$
MOYENNE D’ÉQUIPE98.3562447069676966644761596463565115060
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 Greaves0100.0080697172747780787975685652150710252812,500$
2Colten Ellis0100.0072616462666871686967575250150630252775,000$
Rayé
1Mads Sogaard0100.0065596171656262596364585250150600252775,000$
MOYENNE D’ÉQUIPE100.007263656868697168706961535115065
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
1Martin PospisilHershey Bears (WSH)RW63361121011112491212.50%613923.33213380001170034.29%3535000.8600101000
2Adam KlapkaHershey Bears (WSH)C/RW622402151115144914.29%212821.49112280000161048.31%8922000.6200001010
3Linus WeissbachHershey Bears (WSH)LW/RW622406011994622.22%211619.3611218000010050.00%222000.6900000001
4Matej BlumelHershey Bears (WSH)LW622409558143614.29%312821.43112180001180055.56%923100.6200100010
5Aatu RatyHershey Bears (WSH)C603304061281160%214123.52011180000170062.96%10830000.4300000000
6Arshdeep BainsHershey Bears (WSH)LW6033-12010129750%612621.0402218000060050.00%424000.4800000000
7Benoit-Olivier GroulxHershey Bears (WSH)C61120206874814.29%49415.6800000000100055.00%4020000.4300000000
8Raphael LavoieHershey Bears (WSH)C/RW4202-1406571028.57%25814.660000000000100%331000.6800000001
9Ryan GreeneHershey Bears (WSH)C6022260573340%28113.5500000000000036.00%2503000.4900000000
10Ville HeinolaHershey Bears (WSH)D6011040893020%313622.830000700001800100.00%125000.1500000000
11Adam BoqvistHershey Bears (WSH)D6011-10031113530%613622.7301109000019000%025000.1500000000
12Jan JenikHershey Bears (WSH)C4000-120225110%25213.2000000000000016.67%60100000000000
13Dylan CoghlanHershey Bears (WSH)D4000175001010%1194.960000000000000%00000000001000
14Michael BenningHershey Bears (WSH)D6000020120000%1427.070000000000000%00000000000000
15Nick BlankenburgHershey Bears (WSH)D2000-100120100%23417.390000200005000%00000000000000
16Brandon ScanlinHershey Bears (WSH)D4000000000000%292.410000000000000%00000000000000
17Kyle CapobiancoHershey Bears (WSH)D6000075493130%511218.6700005000013000%02200000001000
18Jakub ZborilHershey Bears (WSH)D6000100140000%26310.640000000002000%00300000000000
19Declan ChisholmHershey Bears (WSH)D6000-1552116230%813021.7400007000118000%02400000100000
20David JiricekHershey Bears (WSH)D6000120230200%17512.590000100001000%10200000000000
Statistiques d’équipe totales ou en moyenne108122032095359514012648799.52%62182916.94581398600041602050.77%3232742100.3500304022
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
1Colten EllisHershey Bears (WSH)21010.9351.951230046234000024100
2Jet GreavesHershey Bears (WSH)41210.9302.41249001014272000042011
Statistiques d’équipe totales ou en moyenne62220.9312.26372001420410600066111


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$387,500$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$387,500$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$625,000$1,250,000$625,000$No1,250,000$--------1,250,000$--------No--------
Alexander NikishinHershey Bears (WSH)D242001-10-02RUSYes218 Lbs6 ft3NoNoProspectNoNo32026-04-27FalseFalsePro & Farm925,000$462,500$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$387,500$0$0$No775,000$--------775,000$--------No--------
Benoit-Olivier GroulxHershey Bears (WSH)C262000-02-06CANNo194 Lbs6 ft2NoNoN/ANoNo22025-07-01FalseFalsePro & Farm812,500$406,250$0$0$No812,500$--------812,500$--------No--------
Brandon Scanlin (sur la masse salariale)Hershey Bears (WSH)D261999-06-02CANNo214 Lbs6 ft4NoNoN/ANoNo22025-06-16FalseFalsePro & Farm775,000$387,500$0$0$Yes775,000$--------775,000$--------No--------
Colten EllisHershey Bears (WSH)G252000-10-05CANNo185 Lbs6 ft1NoNoN/ANoNo22025-06-16FalseFalsePro & Farm775,000$387,500$0$0$No775,000$--------775,000$--------No--------
David JiricekHershey Bears (WSH)D222003-11-28CZENo205 Lbs6 ft4NoNoN/ANoNo52025-06-16FalseFalsePro & Farm950,000$475,000$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$800,000$1,600,000$800,000$No---------------------------
Dylan CoghlanHershey Bears (WSH)D281998-02-19CANNo205 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm775,000$387,500$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$387,500$0$0$No---------------------------
Jakub ZborilHershey Bears (WSH)D291997-02-21CZENo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,137,500$568,750$0$0$No---------------------------
Jan JenikHershey Bears (WSH)C252000-09-15CZENo192 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$387,500$0$0$No775,000$--------775,000$--------No--------
Jet GreavesHershey Bears (WSH)G252001-03-30CANNo190 Lbs6 ft0NoNoN/ANoNo22026-05-19FalseFalsePro & Farm812,500$406,250$0$0$No812,500$--------812,500$--------No--------
Kyle CapobiancoHershey Bears (WSH)D281997-08-13CANNo196 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm775,000$387,500$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$387,500$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$387,500$0$0$No775,000$--------775,000$--------No--------
Martin PospisilHershey Bears (WSH)RW261999-11-19SVKNo173 Lbs6 ft2NoNoTrade2024-08-30NoNo12025-08-02FalseFalsePro & Farm1,000,000$500,000$0$0$No---------------------------
Matej BlumelHershey Bears (WSH)LW252000-05-31CZENo198 Lbs6 ft0NoNoFree AgentNoNo32025-07-28FalseFalsePro & Farm875,000$437,500$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$387,500$0$0$No775,000$--------775,000$--------No--------
Milo RoelensHershey Bears (WSH)C232003-01-16CANNo216 Lbs6 ft7NoNoTrade2024-10-31NoNo22024-10-21FalseFalsePro & Farm870,000$435,000$0$0$No870,000$--------870,000$--------No--------
Nathan SmithHershey Bears (WSH)C271998-10-19USANo198 Lbs6 ft0NoNoN/ANoNo52025-06-16FalseFalsePro & Farm775,000$387,500$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$387,500$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Olle LycksellHershey Bears (WSH)C261999-08-24SWENo176 Lbs5 ft11NoNoProspectNoNo22025-07-01FalseFalsePro & Farm775,000$387,500$0$0$No775,000$--------775,000$--------No--------
Oskar EklindHershey Bears (WSH)C/LW/RW271998-07-14SWENo220 Lbs6 ft4NoNoTrade2024-10-31NoNo22024-10-17FalseFalsePro & Farm950,000$475,000$0$0$No950,000$--------950,000$--------No--------
Raphael LavoieHershey Bears (WSH)C/RW252000-09-25CANNo196 Lbs6 ft4NoNoN/ANoNo22025-06-16FalseFalsePro & Farm775,000$387,500$0$0$No775,000$--------775,000$--------No--------
Ryan GreeneHershey Bears (WSH)C222003-10-21CANYes174 Lbs6 ft1NoNoProspectNoNo22026-02-16FalseFalsePro & Farm950,000$475,000$0$0$No950,000$--------950,000$--------No--------
Ville HeinolaHershey Bears (WSH)D252001-03-02FINNo181 Lbs6 ft0NoNoN/ANoNo22025-06-16FalseFalsePro & Farm800,000$400,000$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 BlumelMartin Pospisil35122
2Arshdeep BainsAdam KlapkaLinus Weissbach35122
3Ryan GreeneBenoit-Olivier GroulxRaphael Lavoie20122
4Martin PospisilRyan Greene10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistDeclan Chisholm35122
2Ville HeinolaKyle Capobianco35122
3David JiricekJakub Zboril20122
4Michael Benning10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matej BlumelMartin Pospisil50122
2Arshdeep BainsAdam KlapkaLinus Weissbach50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistDeclan Chisholm50122
2Ville HeinolaKyle Capobianco50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Martin Pospisil50122
2Adam KlapkaMatej Blumel50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistDeclan Chisholm50122
2Ville HeinolaKyle Capobianco50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Martin Pospisil50122Adam BoqvistDeclan Chisholm50122
250122Ville HeinolaKyle Capobianco50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Martin Pospisil50122
2Adam KlapkaMatej Blumel50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistDeclan Chisholm50122
2Ville HeinolaKyle Capobianco50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matej BlumelMartin PospisilAdam BoqvistDeclan Chisholm
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matej BlumelMartin PospisilAdam BoqvistDeclan Chisholm
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jan Jenik, Benoit-Olivier Groulx, Raphael LavoieJan Jenik, Benoit-Olivier GroulxRaphael Lavoie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Jiricek, Jakub Zboril, Michael BenningDavid JiricekJakub Zboril, Michael Benning
Tirs de pénalité
Martin Pospisil, , Adam Klapka, Matej Blumel, Arshdeep Bains
Gardien
#1 : Colten Ellis, #2 : Jet Greaves


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 Bruins624000001214-2321000008713030000047-340.333122032001650126304152320462959513538.46%25772.00%04710047.00%8315852.53%346552.31%110521485911560
Total624000001214-2321000008713030000047-340.333122032001650126304152320462959513538.46%25772.00%04710047.00%8315852.53%346552.31%110521485911560
_Since Last GM Reset624000001214-2321000008713030000047-340.333122032001650126304152320462959513538.46%25772.00%04710047.00%8315852.53%346552.31%110521485911560
_Vs Conference624000001214-2321000008713030000047-340.333122032001650126304152320462959513538.46%25772.00%04710047.00%8315852.53%346552.31%110521485911560
_Vs Division624000001214-2321000008713030000047-340.333122032001650126304152320462959513538.46%25772.00%04710047.00%8315852.53%346552.31%110521485911560

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64OTL112203212620462959500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001214
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000087
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
303000047
Derniers 10 matchs
WLOTWOTL SOWSOL
220200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
13538.46%25772.00%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
30415231650
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
4710047.00%8315852.53%346552.31%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
110521485911560


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 1Providence Bruins2LXSommaire du match
725Hershey Bears 1Providence Bruins2LSommaire du match
933Providence Bruins1Hershey Bears 3WSommaire du match
1141Hershey Bears 2Providence Bruins3LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance5,9813,000
Assistance PCT99.68%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
40 2994 - 99.79% 126,320$378,959$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,170,750$ 2,170,750$ 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$ 14 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