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Hershey Bears
GP: 4 | W: 0 | L: 4
GF: 9 | GA: 16 | PP%: 14.29% | PK%: 50.00%
DG: Franz-David Fedigan | Morale : 13 | Moyenne d’équipe : 58
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Centre de jeu
Tuscon Roadrunners
7-4-0, 14pts
3
FINAL
2 Hershey Bears
0-4-0, 0pts
Team Stats
OTL1SéquenceL1
3-3-0Fiche domicile0-2-0
4-1-0Fiche domicile0-2-0
6-3-1Derniers 10 matchs0-3-1
3.45Buts par match 2.25
3.09Buts contre par match 4.00
33.33%Pourcentage en avantage numérique14.29%
68.42%Pourcentage en désavantage numérique50.00%
Tuscon Roadrunners
7-4-0, 14pts
5
FINAL
2 Hershey Bears
0-4-0, 0pts
Team Stats
OTL1SéquenceL1
3-3-0Fiche domicile0-2-0
4-1-0Fiche domicile0-2-0
6-3-1Derniers 10 matchs0-3-1
3.45Buts par match 2.25
3.09Buts contre par match 4.00
33.33%Pourcentage en avantage numérique14.29%
68.42%Pourcentage en désavantage numérique50.00%
Meneurs d'équipe
Buts
Christoph Bertschy
2
Passes
Ole Bjorgvik-Holm
3
Points
Christoph Bertschy
3
Plus/Moins
Mattias Tedenby
0

Statistiques d’équipe
Buts pour
9
2.25 GFG
Tirs pour
158
39.50 Avg
Pourcentage en avantage numérique
14.3%
1 GF
Début de zone offensive
35.6%
Buts contre
16
4.00 GAA
Tirs contre
173
43.25 Avg
Pourcentage en désavantage numérique
50.0%%
2 GA
Début de la zone défensive
39.8%
Informations de l'équipe

Directeur généralFranz-David Fedigan
EntraîneurAlexei Kovalev
DivisionEast Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro31
Équipe Mineure19
Limite contact 50 / 65
Espoirs30


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
1Shane Gersich0XX100.00584769706167666242605560625451027610271800,000$
2Christoph Bertschy0XX100.00563575786269674646515152496048081570303775,000$
3Teemu Hartikainen0X100.00513575785670654645495155546048079570341775,000$
4Petr Straka0X100.00523575795368705551454755556048081570323775,000$
5Carl Klingberg0XX100.00643575716169684650484854456048079560331775,000$
6Jake Virtanen0X100.00503575715368685347534949496048076560271880,000$
7Tyler Steenbergen (R)0X100.00563575736069695454484850516048080560261775,000$
8Mikhail Grigorenko25XXX100.00623575776267695545454945496048079560303775,000$
9Frederick Tiffels0XX100.00555555555555555555555555555555027550291775,000$
10Mattias Tedenby21XX100.00523575705167694947465250556048082550343775,000$
11Karl Henriksson (R)0X100.00367970666653705153446253404551083550232870,000$
12Jori Lehtera0XXX100.00613575715570674852484849536048079550364775,000$
13Julius Nattinen (R)20X100.00565555555556555550555555555050081550274775,000$
14Jonathan Davidsson (R)0X100.00523575745770684845554647476048027550273775,000$
15Markus Nutivaara65X100.00503595855858578240445063406872032660301930,000$
16Emil Martinsen Lilleberg (R)0X100.00753589827581605555495059554560057650234870,000$
17Robbie Russo0X100.00554473686272726540635563636456027640311775,000$
18Dalton Prout0X100.00583575726459605152514550407358027580341775,000$
19Leon Gawanke (R)0X100.00593575716563694749455553407358076580252775,000$
20David Warsofsky0X100.00543575686150654851554951407358027570341800,000$
21Maksymillian Szuber (R)0X100.00405065455959686743686151414547078560216859,167$
22Ole Bjorgvik-Holm (R)0X100.00567962606155556262437047424555082560224825,000$
23Viktor Loov0X100.00513575725350674850515352407358027560313775,000$
24Eric Gelinas48XX100.00633575775765695447475151556048082560334775,000$
25Mikael Wikstrand6X100.00555555555555555555556555555555073560303775,000$
Rayé
1Michael St. Croix0XX100.00555555555555555555555555555050021540311775,000$
2Mathias Brome0XX100.00653575725468664545465447536048044540293775,000$
3Bobby Farnham0XX100.00454545454545454545354545454545021440351800,000$
MOYENNE D’ÉQUIPE100.0055437168586364544950535349585205857
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
1Filip Larsson (R)0100.0075757583876774727468457167082740251836,666$
2Cal Heeter0100.0075757584826674727265457173081740351775,000$
Rayé
1Arturs Silovs (R)0100.0068616369686971697066595050023660231786,111$
MOYENNE D’ÉQUIPE100.007370717979677371726650646306271
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alexei Kovalev80808080808080RUS5914950,000$


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
1Christoph BertschyHershey Bears (WSH)C/RW4213-2004692822.22%56315.9700000000000028.57%731000.9400000010
2Ole Bjorgvik-HolmHershey Bears (WSH)D403301754710320%27117.840000300001000%014000.8400001000
3Petr StrakaHershey Bears (WSH)RW412300074255134.00%38521.4000004000000066.67%673000.7000000000
4Mikhail GrigorenkoHershey Bears (WSH)C/LW/RW4123-20025132107.69%16917.3500036000000040.00%5530000.8600000000
5Mattias TedenbyHershey Bears (WSH)LW/RW41120007122554.55%18721.9700036000000028.57%725000.4600000000
6Jake VirtanenHershey Bears (WSH)RW4202-1002142350.00%14010.070000000001000%002000.9900000100
7Julius NattinenHershey Bears (WSH)C40220401010145100%28721.9300016000000052.48%14127000.4600000000
8Carl KlingbergHershey Bears (WSH)LW/RW4101-2005431133.33%36716.921011400000000%310000.3000000000
9Emil Martinsen LillebergHershey Bears (WSH)D41010003480512.50%67819.680000300003000%018000.2500000000
10Karl HenrikssonHershey Bears (WSH)C4011-300464190%35914.8101104000130062.96%2750000.3400000000
11Teemu HartikainenHershey Bears (WSH)C4011-100155050%04210.6200000000010021.43%1431000.4700000000
12Jori LehteraHershey Bears (WSH)C/LW/RW4011-100132040%04210.72000000000300100.00%100000.4700000000
13Eric GelinasHershey Bears (WSH)LW/D4011-600863110%1010025.140112800000000%025000.2000000000
14David WarsofskyHershey Bears (WSH)D4000000001000%051.290000000001000%00000000000000
15Frederick TiffelsHershey Bears (WSH)LW/RW4000000000000%020.720000000000000%00000000000000
16Mathias BromeHershey Bears (WSH)LW/RW1000000100000%01010.070000000000000%00000000000000
17Maksymillian SzuberHershey Bears (WSH)D4000020054040%57117.750000000000000%00400000000000
18Viktor LoovHershey Bears (WSH)D4000000000000%010.350000000000000%00000000000000
19Tyler SteenbergenHershey Bears (WSH)C4000-300495120%04912.290000000000000%01200000000000
20Leon GawankeHershey Bears (WSH)D40000008103520%58320.840001800003000%02100000000000
21Robbie RussoHershey Bears (WSH)D4000-200007120%2205.010000000000000%00000000000000
22Shane GersichHershey Bears (WSH)C/LW4000-300535340%04010.020000000000000%04400000000000
23Jonathan DavidssonHershey Bears (WSH)RW4000000000000%000.200000000000000%00000000000000
24Markus NutivaaraHershey Bears (WSH)D3000-4001711590%77224.120000000000000%04500000000000
Statistiques d’équipe totales ou en moyenne9291524-30235779615842995.70%56125413.6312311590001230047.89%2614152000.3800001110
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
1Cal HeeterHershey Bears (WSH)40310.9083.84250001617392000040000
Statistiques d’équipe totales ou en moyenne40310.9083.8425000161739200040000


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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond 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
Arturs SilovsHershey Bears (WSH)G232001-03-22Yes203 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm786,111$0$0$No---------------------------
Bobby FarnhamHershey Bears (WSH)LW/RW351989-01-20No190 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Cal HeeterHershey Bears (WSH)G351988-11-02No195 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Carl KlingbergHershey Bears (WSH)LW/RW331991-01-28No205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Christoph BertschyHershey Bears (WSH)C/RW301994-04-05No187 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Dalton ProutHershey Bears (WSH)D341990-03-13No215 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
David WarsofskyHershey Bears (WSH)D341990-05-30No170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Emil Martinsen LillebergHershey Bears (WSH)D232001-02-02Yes205 Lbs6 ft1NoNoProspectNoNo42024-01-20FalseFalsePro & Farm870,000$0$0$No870,000$870,000$870,000$------870,000$870,000$870,000$------NoNoNo------
Eric GelinasHershey Bears (WSH)LW/D331991-05-08No215 Lbs6 ft4NoNoFree AgentNoNo42024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Filip LarssonHershey Bears (WSH)G251998-08-17Yes194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm836,666$0$0$No---------------------------Lien
Frederick TiffelsHershey Bears (WSH)LW/RW291995-05-20No200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Jake VirtanenHershey Bears (WSH)RW271996-08-17No226 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm880,000$0$0$No---------------------------Lien
Jonathan DavidssonHershey Bears (WSH)RW271997-03-12Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Jori LehteraHershey Bears (WSH)C/LW/RW361987-12-23No212 Lbs6 ft2NoNoFree AgentNoNo42024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Julius NattinenHershey Bears (WSH)C271997-01-14Yes205 Lbs6 ft2NoNoFree AgentNoNo42024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Karl HenrikssonHershey Bears (WSH)C232001-02-05Yes179 Lbs5 ft9NoNoProspectNoNo22024-01-20FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------
Leon GawankeHershey Bears (WSH)D251999-05-31Yes181 Lbs5 ft11NoNoN/ANoNo22024-01-18FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Maksymillian SzuberHershey Bears (WSH)D212002-08-25Yes190 Lbs6 ft3NoNoAssign ManuallyNoNo62024-01-20FalseFalsePro & Farm859,167$0$0$No859,167$859,167$859,167$859,167$859,167$----859,167$859,167$859,167$859,167$859,167$----NoNoNoNoNo----
Markus NutivaaraHershey Bears (WSH)D301994-06-06No187 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm930,000$0$0$No---------------------------Lien / Lien NHL
Mathias BromeHershey Bears (WSH)LW/RW291994-07-29No183 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Mattias TedenbyHershey Bears (WSH)LW/RW341990-02-21No175 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Michael St. CroixHershey Bears (WSH)C/RW311993-04-10No179 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Mikael WikstrandHershey Bears (WSH)D301993-11-05No196 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Mikhail GrigorenkoHershey Bears (WSH)C/LW/RW301994-05-16No206 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Ole Bjorgvik-HolmHershey Bears (WSH)D222002-05-23Yes195 Lbs6 ft3NoNoProspectNoNo42024-01-20FalseFalsePro & Farm825,000$0$0$No825,000$825,000$825,000$------825,000$825,000$825,000$------NoNoNo------
Petr StrakaHershey Bears (WSH)RW321992-06-15No185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Robbie RussoHershey Bears (WSH)D311993-02-15No190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Shane GersichHershey Bears (WSH)C/LW271996-07-10No181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Teemu HartikainenHershey Bears (WSH)C341990-05-03No214 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Tyler SteenbergenHershey Bears (WSH)C261998-01-07Yes188 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Viktor LoovHershey Bears (WSH)D311992-11-16No212 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3129.26195 Lbs6 ft12.23798,611$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mattias TedenbyJulius NattinenPetr Straka40122
2Carl KlingbergMikhail GrigorenkoChristoph Bertschy30122
3Shane GersichKarl HenrikssonTyler Steenbergen20122
4Jori LehteraTeemu HartikainenJake Virtanen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus NutivaaraEric Gelinas40122
2Emil Martinsen LillebergOle Bjorgvik-Holm30122
3Leon GawankeMaksymillian Szuber20122
4Leon GawankeMaksymillian Szuber10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mattias TedenbyJulius NattinenMikhail Grigorenko60122
2Carl KlingbergKarl HenrikssonPetr Straka40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Leon GawankeEric Gelinas60122
2Ole Bjorgvik-HolmEmil Martinsen Lilleberg40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Karl HenrikssonJori Lehtera60122
2Teemu HartikainenJake Virtanen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Leon GawankeEmil Martinsen Lilleberg60122
2Ole Bjorgvik-HolmMaksymillian Szuber40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Karl Henriksson60122Leon GawankeEmil Martinsen Lilleberg60122
2Teemu Hartikainen40122Ole Bjorgvik-HolmMaksymillian Szuber40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Julius NattinenMattias Tedenby60122
2Mikhail GrigorenkoPetr Straka40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Leon GawankeEric Gelinas60122
2Emil Martinsen LillebergOle Bjorgvik-Holm40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Christoph BertschyJulius NattinenMattias TedenbyEmil Martinsen LillebergLeon Gawanke
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Christoph BertschyPetr StrakaTeemu HartikainenEmil Martinsen LillebergLeon Gawanke
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Petr Straka, Teemu Hartikainen, Karl HenrikssonPetr Straka, Teemu HartikainenTeemu Hartikainen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Emil Martinsen Lilleberg, Leon Gawanke, Maksymillian SzuberLeon GawankeLeon Gawanke, Emil Martinsen Lilleberg
Tirs de pénalité
Petr Straka, Teemu Hartikainen, Karl Henriksson, Christoph Bertschy, Eric Gelinas
Gardien
#1 : Cal Heeter, #2 : Filip Larsson
Lignes d’attaque personnalisées en prolongation
Julius Nattinen, Petr Straka, Karl Henriksson, Christoph Bertschy, Eric Gelinas, Mikhail Grigorenko, Mikhail Grigorenko, Teemu Hartikainen, Mattias Tedenby, Jake Virtanen, Carl Klingberg
Lignes de défense personnalisées en prolongation
Emil Martinsen Lilleberg, Leon Gawanke, Eric Gelinas, Ole Bjorgvik-Holm, Maksymillian Szuber


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
1Tuscon Roadrunners40400000916-72020000048-42020000058-300.0009152400432015842585261735623777114.29%4250.00%0489351.61%4610444.23%316448.44%814796387434
Total40400000916-72020000048-42020000058-300.0009152400432015842585261735623777114.29%4250.00%0489351.61%4610444.23%316448.44%814796387434
_Since Last GM Reset40400000916-72020000048-42020000058-300.0009152400432015842585261735623777114.29%4250.00%0489351.61%4610444.23%316448.44%814796387434
_Vs Conference40400000916-72020000048-42020000058-300.0009152400432015842585261735623777114.29%4250.00%0489351.61%4610444.23%316448.44%814796387434

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L19152415817356237700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4040000916
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000048
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000058
Derniers 10 matchs
WLOTWOTL SOWSOL
030100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7114.29%4250.00%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
42585264320
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
489351.61%4610444.23%316448.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
814796387434


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
12Hershey Bears3Tuscon Roadrunners4LSommaire du match
210Hershey Bears2Tuscon Roadrunners4LSommaire du match
318Tuscon Roadrunners3Hershey Bears2LXSommaire du match
426Tuscon Roadrunners5Hershey Bears2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,475,694$ 2,455,694$ 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$ 0 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