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Wilkes BarreWilke Barre Wilkes Barre
39-30-5, 83pts · 5th in Conference Est

Wilkes Barre
GP: 74 | W: 39 | L: 30 | OTL: 5 | P: 83
GF: 113 | GA: 105 | PP%: 20.91% | PK%: 78.85%
DG: Roger Hache | Morale : 60 | Moyenne d’équipe : N/A
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Centre de jeu
Syracuse
32-31-11, 75pts
3
FINAL
4 Wilkes Barre
39-30-5, 83pts
Team Stats
L2StreakW2
19-11-7Home Record22-15-0
13-20-4Away Record17-15-5
5-4-1Last 10 Games4-3-3
1.35Buts par match 1.53
1.72Buts contre par match 1.42
18.42%Pourcentage en avantage numérique20.91%
78.07%Pourcentage en désavantage numérique78.85%
Portland
31-30-13, 75pts
1
FINAL
2 Wilkes Barre
39-30-5, 83pts
Team Stats
L1StreakW2
18-14-5Home Record22-15-0
13-16-8Away Record17-15-5
4-4-2Last 10 Games4-3-3
1.36Buts par match 1.53
1.77Buts contre par match 1.42
17.56%Pourcentage en avantage numérique20.91%
79.10%Pourcentage en désavantage numérique78.85%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
113
1.53 GFG
Tirs pour
933
12.61 Avg
Pourcentage en avantage numérique
20.9%
69 GF
Début de zone offensive
33.3%
Buts contre
105
1.42 GAA
Tirs contre
863
11.66 Avg
Pourcentage en désavantage numérique
78.8%%
66 GA
Début de la zone défensive
32.6%
Informations de l'équipe

Directeur généralRoger Hache
DivisionAtlantique
ConférenceConference Est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro11
Équipe Mineure20
Limite contact 31 / 250
Espoirs47


Historique d'équipe

Saison actuelle39-30-5 (83PTS)
Historique0-0-0


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
1Marc McLaughlinX100.00797489717476835063445063484444586800241775,000$
2Adam RaskaX100.00606353676369754750434653444545516800221848,333$
3Vasily PodkolzinXX100.00994787796957626737605563255959636800221925,000$
4Henry Thrun (R)X100.00654290787079726925524884254949636800221912,500$
5Louis Crevier (R)X100.00784594648467796425504783254646626800221850,833$
6Daemon Hunt (R)X100.00694299677157776225474773254545596800212828,333$
7Scott Morrow (R)X100.00817399677333314125283962374444496800203916,667$
8Lane Hutson (R)X100.00715999785933314125283957374444486800193950,000$
9Kaedan KorczakX100.00824590737369726525644871254747636800221795,000$
Rayé
1Patrick BrownXX100.00884693727552736252595574256062642000312800,000$
MOYENNE D’ÉQUIPE100.0077548972715966573548476832484958630
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
1Justus Annunen100.0069585685776275697769754545696800231880,833$
Rayé
MOYENNE D’ÉQUIPE100.006958568577627569776975454569680
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam RaskaWilkes Barre (PIT)RW222001-09-25No178 Lbs5 ft10NoNoNo1Pro & Farm848,333$0$0$NoLien / Lien NHL
Daemon HuntWilkes Barre (PIT)D212002-05-15Yes198 Lbs6 ft0NoNoNo2Pro & Farm828,333$0$0$No828,333$Lien
Henry ThrunWilkes Barre (PIT)D222001-03-12Yes189 Lbs6 ft2NoNoNo1Pro & Farm912,500$0$0$NoLien
Justus AnnunenWilkes Barre (PIT)G232000-03-11No209 Lbs6 ft4NoNoNo1Pro & Farm880,833$0$0$NoLien / Lien NHL
Kaedan KorczakWilkes Barre (PIT)D222001-01-29No191 Lbs6 ft3NoNoNo1Pro & Farm795,000$0$0$NoLien / Lien NHL
Lane HutsonWilkes Barre (PIT)D192004-02-14Yes163 Lbs5 ft10NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$Lien
Louis CrevierWilkes Barre (PIT)D222001-04-05Yes213 Lbs6 ft8NoNoNo1Pro & Farm850,833$0$0$NoLien
Marc McLaughlinWilkes Barre (PIT)C241999-07-26No205 Lbs6 ft0NoNoNo1Pro & Farm775,000$0$0$NoLien / Lien NHL
Patrick BrownWilkes Barre (PIT)C/RW311992-05-29No213 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Scott MorrowWilkes Barre (PIT)D202002-11-01Yes195 Lbs6 ft2NoNoNo3Pro & Farm916,667$0$0$No916,667$916,667$Lien
Vasily PodkolzinWilkes Barre (PIT)LW/RW222001-06-24No189 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1122.55195 Lbs6 ft11.55862,045$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Albany20001010532100010001011000001043141.0005813011533551128170321421281684571119.09%10370.00%045797746.78%49295751.41%550100354.84%183313231746505891449
2Binghamton211000003301010000002-21100000031220.50036900153355112017032142128241135109333.33%10280.00%045797746.78%49295751.41%550100354.84%183313231746505891449
3Bridgeport4130000027-52020000003-32110000024-220.250246011533551146170321421284418932410220.00%24483.33%045797746.78%49295751.41%550100354.84%183313231746505891449
4Charlotte Checkers21100000211110000002021010000001-120.50024601153355111117032142128291846105240.00%8187.50%045797746.78%49295751.41%550100354.84%183313231746505891449
5Chicago20101000440100010003211010000012-120.5004711001533551127170321421282411811614428.57%8275.00%045797746.78%49295751.41%550100354.84%183313231746505891449
6Chicago Wolf4220000078-1211000003302110000045-140.500714210115335511501703214212844132342921314.29%22481.82%045797746.78%49295751.41%550100354.84%183313231746505891449
7Grand Rapids2020000013-21010000012-11010000001-100.0001230015335511281703214212818449111000.00%12375.00%045797746.78%49295751.41%550100354.84%183313231746505891449
8Hamilton2020000004-41010000001-11010000003-300.0000000015335511291703214212818399111000.00%12375.00%045797746.78%49295751.41%550100354.84%183313231746505891449
9Hartford43100000835220000004042110000043160.750814220215335511481703214212843191481721628.57%9277.78%045797746.78%49295751.41%550100354.84%183313231746505891449
10Hersey21001000312100010002111100000010141.0003470115335511291703214212827588119222.22%90100.00%045797746.78%49295751.41%550100354.84%183313231746505891449
11Hershey21000100642110000004131000010023-130.750612180015335511291703214212822111031114428.57%9277.78%045797746.78%49295751.41%550100354.84%183313231746505891449
12Houston2020000024-21010000012-11010000012-100.0002460015335511241703214212825921106233.33%8275.00%045797746.78%49295751.41%550100354.84%183313231746505891449
13Iowa2110000034-11010000013-21100000021120.50036910153355112917032142128326150510220.00%10190.00%045797746.78%49295751.41%550100354.84%183313231746505891449
14Lake Erie211000005321010000023-11100000030320.5005101501153355113617032142128311043117342.86%4250.00%045797746.78%49295751.41%550100354.84%183313231746505891449
15Lowell4030010038-52020000025-32010010013-210.1253580015335511451703214212843151292215320.00%17664.71%045797746.78%49295751.41%550100354.84%183313231746505891449
16Manchester3120000023-11010000001-12110000022020.33323501153355113717032142128321098910110.00%9277.78%045797746.78%49295751.41%550100354.84%183313231746505891449
17Manitoba2020000016-51010000002-21010000014-300.0001230015335511221703214212821358127114.29%14657.14%045797746.78%49295751.41%550100354.84%183313231746505891449
18Milwaukee31100010440210000104131010000003-340.667459011533551136170321421284610382311218.18%9277.78%045797746.78%49295751.41%550100354.84%183313231746505891449
19Norfolk21100000220110000001011010000012-120.5002460115335511231703214212823102868225.00%9277.78%045797746.78%49295751.41%550100354.84%183313231746505891449
20Peroria21100000321110000002021010000012-120.5003580115335511201703214212822861114250.00%13284.62%045797746.78%49295751.41%550100354.84%183313231746505891449
21Philadelphie44000000918220000006152200000030381.000918270315335511491703214212842131112124625.00%130100.00%045797746.78%49295751.41%550100354.84%183313231746505891449
22Portland22000000514110000002111100000030341.0005101501153355111617032142128131212196233.33%80100.00%345797746.78%49295751.41%550100354.84%183313231746505891449
23Providence22000000422110000002111100000021141.000471100153355113017032142128222151312216.67%50100.00%045797746.78%49295751.41%550100354.84%183313231746505891449
24Quad City2010010024-21010000012-11000010012-110.2502460015335511221703214212830618710600.00%11190.91%045797746.78%49295751.41%550100354.84%183313231746505891449
25Rochester20002000532100010003211000100021141.000510150015335511291703214212822538206233.33%9366.67%045797746.78%49295751.41%550100354.84%183313231746505891449
26Rochester211000002201010000001-11100000021120.50024600153355111717032142128287120133266.67%5180.00%045797746.78%49295751.41%550100354.84%183313231746505891449
27Rockford Icehogs22000000404110000001011100000030341.00048120215335511371703214212812895151417.14%50100.00%045797746.78%49295751.41%550100354.84%183313231746505891449
28Springfield2110000034-1110000002111010000013-220.500369001533551127170321421285512851513215.38%5340.00%045797746.78%49295751.41%550100354.84%183313231746505891449
29Syracuse20001100440100010004311000010001-130.75048120015335511281703214212818851149222.22%13376.92%045797746.78%49295751.41%550100354.84%183313231746505891449
30Toronto20002000752100010003211000100043141.00071320001533551134170321421281461101515533.33%5420.00%045797746.78%49295751.41%550100354.84%183313231746505891449
31Worchester21000100220110000001011000010012-130.7502460115335511271703214212823854141000.00%70100.00%045797746.78%49295751.41%550100354.84%183313231746505891449
Total74293008520113105837151506010584612371415025105559-4830.561113211324119153355119331703214212886328926344253306920.91%3126678.85%345797746.78%49295751.41%550100354.84%183313231746505891449
_Since Last GM Reset74293008520113105837151506010584612371415025105559-4830.561113211324119153355119331703214212886328926344253306920.91%3126678.85%345797746.78%49295751.41%550100354.84%183313231746505891449
_Vs Conference40161506210675982088040003224820870221035350480.6006712619309153355115041703214212842915213892351934523.32%1673877.25%045797746.78%49295751.41%550100354.84%183313231746505891449
_Vs Division161090010024240855000001011-18540010014131210.6562446700115335511210170321421281694849499731621.92%671873.13%045797746.78%49295751.41%550100354.84%183313231746505891449

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7483W21132113249338632892634425119
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7429308520113105
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
37151560105846
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
37141525105559
Derniers 10 matchs
WLOTWOTL SOWSOL
430300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3306920.91%3126678.85%3
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
1703214212815335511
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
45797746.78%49295751.41%550100354.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
183313231746505891449


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
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JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2024-10-0111Bridgeport2Wilkes Barre0BLSommaire du match
3 - 2024-10-0229Wilkes Barre0Hamilton3ALSommaire du match
5 - 2024-10-0441Wilkes Barre1Manchester0AWSommaire du match
7 - 2024-10-0658Wilkes Barre3Hartford1AWSommaire du match
8 - 2024-10-0765Milwaukee0Wilkes Barre1BWXXSommaire du match
10 - 2024-10-0987Hartford0Wilkes Barre2BWSommaire du match
12 - 2024-10-11106Wilkes Barre1Bridgeport0AWSommaire du match
14 - 2024-10-13120Chicago Wolf0Wilkes Barre1BWSommaire du match
15 - 2024-10-14134Wilkes Barre4Chicago Wolf3AWSommaire du match
17 - 2024-10-16155Lowell3Wilkes Barre2BLSommaire du match
19 - 2024-10-18171Philadelphie0Wilkes Barre4BWSommaire du match
20 - 2024-10-19186Wilkes Barre0Chicago Wolf2ALSommaire du match
21 - 2024-10-20188Wilkes Barre2Philadelphie0AWSommaire du match
23 - 2024-10-22212Grand Rapids2Wilkes Barre1BLSommaire du match
25 - 2024-10-24229Wilkes Barre1Houston2ALSommaire du match
27 - 2024-10-26243Rochester2Wilkes Barre3BWXSommaire du match
28 - 2024-10-27259Wilkes Barre3Binghamton1AWSommaire du match
30 - 2024-10-29278Toronto2Wilkes Barre3BWXSommaire du match
32 - 2024-10-31292Wilkes Barre4Toronto3AWXSommaire du match
34 - 2024-11-02307Wilkes Barre1Manitoba4ALSommaire du match
36 - 2024-11-04324Hartford0Wilkes Barre2BWSommaire du match
38 - 2024-11-06344Chicago Wolf3Wilkes Barre2BLSommaire du match
40 - 2024-11-08359Providence1Wilkes Barre2BWSommaire du match
42 - 2024-11-10372Wilkes Barre2Providence1AWSommaire du match
44 - 2024-11-12392Wilkes Barre1Bridgeport4ALSommaire du match
45 - 2024-11-13405Albany0Wilkes Barre1BWXSommaire du match
47 - 2024-11-15423Wilkes Barre3Lake Erie0AWSommaire du match
49 - 2024-11-17436Lake Erie3Wilkes Barre2BLSommaire du match
51 - 2024-11-19451Wilkes Barre4Albany3AWXXSommaire du match
52 - 2024-11-20469Wilkes Barre2Iowa1AWSommaire du match
54 - 2024-11-22483Wilkes Barre2Rochester1AWSommaire du match
56 - 2024-11-24496Hershey1Wilkes Barre4BWSommaire du match
57 - 2024-11-25511Manitoba2Wilkes Barre0BLSommaire du match
59 - 2024-11-27533Manchester1Wilkes Barre0BLSommaire du match
60 - 2024-11-28546Wilkes Barre3Rockford Icehogs0AWSommaire du match
62 - 2024-11-30563Rochester1Wilkes Barre0BLSommaire du match
64 - 2024-12-02583Milwaukee1Wilkes Barre3BWSommaire du match
65 - 2024-12-03590Wilkes Barre2Rochester1AWXSommaire du match
67 - 2024-12-05613Wilkes Barre1Peroria2ALSommaire du match
68 - 2024-12-06625Houston2Wilkes Barre1BLSommaire du match
70 - 2024-12-08646Wilkes Barre1Hartford2ALSommaire du match
72 - 2024-12-10659Wilkes Barre3Portland0AWSommaire du match
73 - 2024-12-11670Peroria0Wilkes Barre2BWSommaire du match
75 - 2024-12-13687Wilkes Barre1Philadelphie0AWSommaire du match
76 - 2024-12-14701Springfield1Wilkes Barre2BWSommaire du match
78 - 2024-12-16723Wilkes Barre2Hershey3ALXSommaire du match
80 - 2024-12-18732Hersey1Wilkes Barre2BWXSommaire du match
81 - 2024-12-19751Wilkes Barre1Manchester2ALSommaire du match
83 - 2024-12-21762Charlotte Checkers0Wilkes Barre2BWSommaire du match
85 - 2024-12-23785Binghamton2Wilkes Barre0BLSommaire du match
87 - 2024-12-25796Wilkes Barre1Chicago2ALSommaire du match
88 - 2024-12-26816Lowell2Wilkes Barre0BLSommaire du match
90 - 2024-12-28825Wilkes Barre1Hersey0AWSommaire du match
91 - 2024-12-29847Wilkes Barre0Syracuse1ALXSommaire du match
93 - 2024-12-31859Bridgeport1Wilkes Barre0BLSommaire du match
94 - 2025-01-01876Wilkes Barre0Milwaukee3ALSommaire du match
96 - 2025-01-03888Chicago2Wilkes Barre3BWXSommaire du match
98 - 2025-01-05911Norfolk0Wilkes Barre1BWSommaire du match
100 - 2025-01-07925Wilkes Barre1Norfolk2ALSommaire du match
102 - 2025-01-09941Wilkes Barre1Springfield3ALSommaire du match
103 - 2025-01-10953Iowa3Wilkes Barre1BLSommaire du match
105 - 2025-01-12977Quad City2Wilkes Barre1BLSommaire du match
106 - 2025-01-13985Wilkes Barre0Charlotte Checkers1ALSommaire du match
109 - 2025-01-161010Philadelphie1Wilkes Barre2BWSommaire du match
111 - 2025-01-181025Wilkes Barre1Quad City2ALXSommaire du match
112 - 2025-01-191043Wilkes Barre0Lowell1ALSommaire du match
113 - 2025-01-201052Rockford Icehogs0Wilkes Barre1BWSommaire du match
115 - 2025-01-221065Wilkes Barre1Lowell2ALXSommaire du match
117 - 2025-01-241083Worchester0Wilkes Barre1BWSommaire du match
118 - 2025-01-251087Wilkes Barre0Grand Rapids1ALSommaire du match
120 - 2025-01-271108Wilkes Barre1Worchester2ALXSommaire du match
121 - 2025-01-281120Hamilton1Wilkes Barre0BLSommaire du match
126 - 2025-02-021147Syracuse3Wilkes Barre4BWXSommaire du match
130 - 2025-02-061169Portland1Wilkes Barre2BWSommaire 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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
9,554,321$ 9,482,499$ 9,482,499$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 9,554,321$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 71,837$ 0$




Wilkes Barre Leaders statistiques (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

Wilkes Barre 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

Wilkes Barre 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

Wilkes Barre Leaders statistiques (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

Wilkes Barre 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