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Wilkes-Barre/Scranton
GP: 7 | W: 3 | L: 4
GF: 26 | GA: 32 | PP%: 18.52% | PK%: 78.13%
DG: Sebastien Lefebvre | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Charlotte
4-7-0, 8pts
4
FINAL
5 Wilkes-Barre/Scranton
3-4-0, 6pts
Team Stats
L2SéquenceL1
3-3-0Fiche domicile2-1-0
1-4-0Fiche domicile1-3-0
3-5-2Derniers 10 matchs3-4-0
3.91Buts par match 3.71
3.82Buts contre par match 4.57
21.28%Pourcentage en avantage numérique18.52%
82.61%Pourcentage en désavantage numérique78.13%
Wilkes-Barre/Scranton
3-4-0, 6pts
2
FINAL
6 Charlotte
4-7-0, 8pts
Team Stats
L1SéquenceL2
2-1-0Fiche domicile3-3-0
1-3-0Fiche domicile1-4-0
3-4-0Derniers 10 matchs3-5-2
3.71Buts par match 3.91
4.57Buts contre par match 3.82
18.52%Pourcentage en avantage numérique21.28%
78.13%Pourcentage en désavantage numérique82.61%
Meneurs d'équipe
Buts
Evgenii Dadonov
4
Passes
Lukas Sedlak
5
Points
Lukas Sedlak
7
Plus/Moins
Rob Schremp
3
Victoires
Jonathan Quick
2
Pourcentage d’arrêts
Adam Dennis
0.929

Statistiques d’équipe
Buts pour
26
3.71 GFG
Tirs pour
342
48.86 Avg
Pourcentage en avantage numérique
18.5%
5 GF
Début de zone offensive
40.8%
Buts contre
32
4.57 GAA
Tirs contre
381
54.43 Avg
Pourcentage en désavantage numérique
78.1%%
7 GA
Début de la zone défensive
44.3%
Informations de l'équipe

Directeur généralSebastien Lefebvre
EntraîneurRyan McGill
DivisionAtlantique
ConférenceConference est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,985
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure20
Limite contact 39 / 50
Espoirs29


Historique d'équipe

Saison actuelle3-4
Historique73-79-9 (0.453%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)3-4
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Zac DalpeXX100.005922967377658662706366617566652750003211,100,000$
2Jesper FastX100.008227957681818773706974687565653350003021,000,000$
3Rob SchrempXXX100.00673282547667887274657056818371145000363500,000$
4Tyler PitlickX100.007228907379768971697271747659575350003021,000,000$
5Alan QuineXXX100.00633087777978847284717163835647515000293500,000$
6Brendan LeipsicX100.007427957876808975737174638156525250002811,000,000$
7Shane PrinceXX100.00722885727676877273697160796457395000293500,000$
8Milan LucicX100.00703784559676996768676862707062415000341500,000$
9Jiri TlustyXX100.00622294608272766971676561837356305000343700,000$
10Michael FrolikXX100.00692794698171867369697260797677235000341500,000$
11Joakim RyanX100.00633090797685824750474884725449485000293510,000$
12Ian McCoshenX100.00774667829485885754545687804543585000262850,000$
13Ladislav SmidX100.00774550497971915050495085607567175000362500,000$
Rayé
1Evgenii DadonovXX100.007631927177858777687172627970703750003312,850,000$
2Lukas SedlakXX100.00723186758171887493737265786150475000291999,000$
3David RundbladX100.00593693719077835450534989706356385000311800,000$
MOYENNE D’ÉQUIPE100.0070318670817687676864666976655938500
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Jonathan Quick100.0057939682768781898975848988385000362910,000$
Rayé
1Adam Dennis100.0062837375688489878866719992145000371500,000$
2Eric Comrie (R)100.0075787773758382838580775353525000262825,000$
MOYENNE D’ÉQUIPE100.006585827773858486877477807835500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan McGill67728671859380CAN5211,500,000$


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
1Rob SchrempWilkes-Barre/Scranton (PIT)C/LW/RW7347300410164918.75%29413.56000000000100051.41%14200001.4800000101
2Alan QuineWilkes-Barre/Scranton (PIT)C/LW/RW7257-220315316146.45%211616.58022420000001048.26%20100001.2100000000
3Michael FrolikWilkes-Barre/Scranton (PIT)LW/RW7257220561742111.76%18812.6200011000000020.00%1000001.5800000010
4Lukas SedlakWilkes-Barre/Scranton (PIT)C/LW6257-220517327176.25%114123.640220180001220055.04%25800000.9900000001
5Tyler PitlickWilkes-Barre/Scranton (PIT)RW7336-280893082810.00%714420.601013200000230022.73%2200000.8300000000
6Brendan LeipsicWilkes-Barre/Scranton (PIT)LW7156-160910377242.70%111917.01022520000030037.50%800001.0100000000
7Shane PrinceWilkes-Barre/Scranton (PIT)LW/RW7336360752951610.34%28412.0100000000001030.00%1000001.4300000001
8Jesper FastWilkes-Barre/Scranton (PIT)RW7325-412011144013267.50%115221.821122190000161150.68%7300000.6500000000
9Ian McCoshenWilkes-Barre/Scranton (PIT)D7235-41802131842611.11%1817525.10112821000020000%000000.5700000000
10Joakim RyanWilkes-Barre/Scranton (PIT)D71341406592711.11%1410114.480000300004000%000000.7900000001
11Evgenii DadonovWilkes-Barre/Scranton (PIT)LW/RW64040006102832314.29%314123.5720210190001190128.57%1400000.5700000100
12Ladislav SmidWilkes-Barre/Scranton (PIT)D704408025515390%2115021.55000818000023000%000000.5300000000
13David RundbladWilkes-Barre/Scranton (PIT)D5022-1200411260%1712424.99000413000016000%000000.3200000000
14Scott HarringtonPittsburghD3022-120027530%86622.160114800007000%000000.6000000000
15Milan LucicWilkes-Barre/Scranton (PIT)LW7011-200238230%1405.73000000000000100.00%200000.5000000000
16Jiri TlustyWilkes-Barre/Scranton (PIT)LW/RW7011-300316150%1415.920000000000000%100000.4800000000
17Zac DalpeWilkes-Barre/Scranton (PIT)C/RW7000-200126310%0294.1500000000000047.73%440000000000000
18Brian LashoffPittsburghD30004175112010%63913.160000000003000%00000000001000
Statistiques d’équipe totales ou en moyenne114264874-11895117122342792397.60%106185216.2559144918400021723249.55%78500000.8000001214
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
1Jonathan QuickWilkes-Barre/Scranton (PIT)32100.9144.0018000121400000034010
2Adam DennisWilkes-Barre/Scranton (PIT)31200.9294.4918700141980000033110
3Eric ComrieWilkes-Barre/Scranton (PIT)10100.8606.0060006430000010000
Statistiques d’équipe totales ou en moyenne73400.9164.504270032381000077120


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 Salaire restantPlafond salarial Non Activé 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 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
Adam DennisWilkes-Barre/Scranton (PIT)G371985-02-08 17:37:02No197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Alan Quine (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)C/LW/RW291993-02-25No204 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm500,000$5,000$0$No500,000$500,000$-------NoNo-------Lien
Brendan Leipsic (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)LW281994-05-19No186 Lbs5 ft10NoNoN/AYesNo1FalseFalsePro & Farm1,000,000$10,000$0$No------------------Lien
David Rundblad (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)D311990-10-08No194 Lbs6 ft2NoNoN/AYesNo1FalseFalsePro & Farm800,000$8,000$0$No------------------Lien
Eric ComrieWilkes-Barre/Scranton (PIT)G261995-07-06 08:58:51Yes175 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm825,000$0$0$No825,000$--------No--------Lien
Evgenii Dadonov (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)LW/RW331989-03-12No186 Lbs5 ft11NoNoN/AYesNo1FalseFalsePro & Farm2,850,000$28,500$0$No------------------Lien
Ian McCoshenWilkes-Barre/Scranton (PIT)D261995-08-05No221 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------No--------Lien
Jesper Fast (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)RW301991-12-02 06:52:04No191 Lbs6 ft1NoNoN/AYesNo2FalseFalsePro & Farm1,000,000$10,000$0$No1,000,000$--------No--------Lien
Jiri TlustyWilkes-Barre/Scranton (PIT)LW/RW341988-03-16No210 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------Lien
Joakim RyanWilkes-Barre/Scranton (PIT)D291993-06-17No191 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm510,000$0$0$No510,000$510,000$-------NoNo-------Lien
Jonathan Quick (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)G361986-01-22 06:17:05No227 Lbs6 ft1NoNoN/AYesNo2FalseFalsePro & Farm910,000$9,100$0$No910,000$--------No--------
Ladislav SmidWilkes-Barre/Scranton (PIT)D361986-02-01No214 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Lukas Sedlak (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)C/LW291993-02-25No209 Lbs6 ft0NoNoN/AYesNo1FalseFalsePro & Farm999,000$9,990$0$No------------------Lien
Michael FrolikWilkes-Barre/Scranton (PIT)LW/RW341988-02-17No192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------Lien
Milan LucicWilkes-Barre/Scranton (PIT)LW341988-06-07No240 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------Lien
Rob SchrempWilkes-Barre/Scranton (PIT)C/LW/RW361986-01-11No217 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------NoNo-------
Shane PrinceWilkes-Barre/Scranton (PIT)LW/RW291992-11-16No196 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------NoNo-------Lien
Tyler PitlickWilkes-Barre/Scranton (PIT)RW301991-11-01No203 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Zac DalpeWilkes-Barre/Scranton (PIT)C/RW321989-11-01No203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1931.53203 Lbs6 ft11.84844,421$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper Fast35122
2Brendan LeipsicAlan QuineTyler Pitlick30122
3Michael FrolikRob SchrempShane Prince25122
4Milan LucicZac DalpeJiri Tlusty10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshen35122
2Ladislav Smid30122
3Joakim Ryan25122
4Ian McCoshen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper Fast50122
2Brendan LeipsicAlan QuineTyler Pitlick50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshen50122
2Ladislav Smid50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Jesper FastTyler Pitlick50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshen50122
2Ladislav Smid50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Ian McCoshen50122
250122Ladislav Smid50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Jesper FastTyler Pitlick50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshen50122
2Ladislav Smid50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper FastIan McCoshen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper FastIan McCoshen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Frolik, Shane Prince, Rob SchrempMichael Frolik, Shane PrinceRob Schremp
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joakim Ryan, , Joakim Ryan,
Tirs de pénalité
, , Jesper Fast, Tyler Pitlick, Brendan Leipsic
Gardien
#1 : , #2 : Jonathan Quick
Lignes d’attaque personnalisées en prolongation
, , Jesper Fast, Tyler Pitlick, Brendan Leipsic, Michael Frolik, Michael Frolik, Alan Quine, Shane Prince, Rob Schremp, Milan Lucic
Lignes de défense personnalisées en prolongation
Ian McCoshen, , , Ladislav Smid, Joakim Ryan


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
1Charlotte734000002632-63210000014140413000001218-660.42926487400898134210792129143811099111827518.52%32778.13%016533848.82%18536750.41%4912339.84%158105175559344
Total734000002632-63210000014140413000001218-660.42926487400898134210792129143811099111827518.52%32778.13%016533848.82%18536750.41%4912339.84%158105175559344
_Since Last GM Reset734000002632-63210000014140413000001218-660.42926487400898134210792129143811099111827518.52%32778.13%016533848.82%18536750.41%4912339.84%158105175559344
_Vs Conference734000002632-63210000014140413000001218-660.42926487400898134210792129143811099111827518.52%32778.13%016533848.82%18536750.41%4912339.84%158105175559344

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L12648743423811099111800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002632
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100001414
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41300001218
Derniers 10 matchs
WLOTWOTL SOWSOL
340000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
27518.52%32778.13%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
10792129148981
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
16533848.82%18536750.41%4912339.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
158105175559344


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
13Wilkes-Barre/Scranton1Charlotte5LSommaire du match
311Wilkes-Barre/Scranton6Charlotte3WSommaire du match
519Charlotte4Wilkes-Barre/Scranton5WSommaire du match
727Charlotte6Wilkes-Barre/Scranton4LSommaire du match
935Wilkes-Barre/Scranton3Charlotte4LSommaire du match
1143Charlotte4Wilkes-Barre/Scranton5WXSommaire du match
1351Wilkes-Barre/Scranton2Charlotte6LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance5,9543,000
Assistance PCT99.23%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2985 - 99.49% 154,319$462,956$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 798,500$ 798,500$ 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$




Wilkes-Barre/Scranton 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
1Dylan Gambrell1394680126-221213082625548.30%31258418.5913334612300071251.60%00.9814
2Adam Henrique1265265117-16538116947510.95%29273021.67141832106022115354.61%10.8646
3Jack Roslovic763460941037811453968.59%31166321.89718259011287251.33%11.1301
4Jesper Boqvist7632578910321141003549.04%22147519.411317308500035446.65%11.2112
5Joey Anderson74384886542899834011.18%17141419.121319328710134341.33%31.2202

Wilkes-Barre/Scranton 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
1Alexandar Georgiyev82452870.9123.1847756325328800330.81811
2Pheonix Copley37201230.9193.8121098013416490110.6673
3Charlie Lindgren38121660.9103.8221508013715160300.70617
4Ville Husso21100.8294.09880063500000

Wilkes-Barre/Scranton Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
2082273803842245321-7641181600322126148-224192203520119173-54782454206651399598012249278986180956295485873815023025618.54%2936278.84%31311283946.18%1374323942.42%627133746.90%1860125120446311076522
2182392906512321320141191604101167170-34120130241115415049932156088130123999273540117411591172453662104387614713659425.75%3587379.61%41826356951.16%1778363548.91%705145948.32%1956132019066261092541
Total Saison régulière1646479071022567626-5982363603511287283482284304511280343-63158567100215695321117417311631121432072205751672119611722305365812919.60%73315678.72%83360672649.96%3411708248.16%1387279049.71%373924873996127421561061
Séries éliminatoires
21514000001427-1330300000618-122110000089-12142438104811193586762625871609821523.81%29775.86%110122045.91%9024337.04%489351.61%11071133406833
Total Séries éliminatoires734000002632-63210000014140413000001218-6626487400898134210792129143811099111827518.52%32778.13%016533848.82%18536750.41%4912339.84%158105175559344

Wilkes-Barre/Scranton 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
1Dylan Gambrell5369083152711.11%110821.76134600020044.83%01.6500
2Cody Bass5325081111618.75%210621.35011310111011.11%00.9400
3Bobby Ryan5134-1004128.33%08717.58112400000033.33%00.9100
4Mario Ferraro5044-4654200%1012925.9101180001000%00.6200
5Marco Scandella5213-3055922.22%711322.7820260111000%00.5300

Wilkes-Barre/Scranton 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
1Alexandar Georgiyev31200.9343.14191001015200100