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Wilkes-Barre/Scranton
GP: 82 | W: 38 | L: 38 | OTL: 6 | P: 82
GF: 311 | GA: 340 | PP%: 20.52% | PK%: 75.91%
DG: Sebastien Lefebvre | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Bakersfield
35-43-4, 74pts
4
FINAL
1 Wilkes-Barre/Scranton
38-38-6, 82pts
Team Stats
L1SéquenceL5
19-20-2Fiche domicile19-19-3
16-23-2Fiche domicile19-19-3
4-6-0Derniers 10 matchs3-6-1
3.74Buts par match 3.79
4.18Buts contre par match 4.15
19.19%Pourcentage en avantage numérique20.52%
75.37%Pourcentage en désavantage numérique75.91%
Wilkes-Barre/Scranton
38-38-6, 82pts
1
FINAL
3 Texas
43-33-6, 92pts
Team Stats
L5SéquenceW1
19-19-3Fiche domicile22-17-2
19-19-3Fiche domicile21-16-4
3-6-1Derniers 10 matchs5-5-0
3.79Buts par match 3.87
4.15Buts contre par match 3.73
20.52%Pourcentage en avantage numérique21.69%
75.91%Pourcentage en désavantage numérique77.34%
Meneurs d'équipe
Buts
Shane Prince
32
Passes
Ian McCoshen
44
Points
Shane Prince
71
Plus/Moins
Brendan Leipsic
14
Victoires
Eric Comrie
20
Pourcentage d’arrêts
Anton Forsberg
0.924

Statistiques d’équipe
Buts pour
311
3.79 GFG
Tirs pour
3666
44.71 Avg
Pourcentage en avantage numérique
20.5%
71 GF
Début de zone offensive
41.4%
Buts contre
340
4.15 GAA
Tirs contre
3814
46.51 Avg
Pourcentage en désavantage numérique
75.9%%
79 GA
Début de la zone défensive
42.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,840
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 50
Espoirs29


Historique d'équipe

Saison actuelle38-38-6 (82PTS)
Historique111-117-13 (0.461%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
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 DalpeXX100.006022967377658662706366617566652750003211,100,000$
2Jesper FastX98.008127957681818773706974687565653450003021,000,000$
3Evgenii DadonovXX98.007631927177858777687272627970693750003312,850,000$
4Rob SchrempXXX100.00673281547667887274657056818371145000363500,000$
5Tyler PitlickX100.007228907379768971697271747659565350003021,000,000$
6Alan QuineXXX100.00633087777978847284707163835647515000293500,000$
7Brendan LeipsicX100.007427957876808975737174638156525250002811,000,000$
8Shane PrinceXX100.00722885727676877273697160796457395000293500,000$
9Milan LucicX100.00713783559676996768676862707062415000341500,000$
10Jiri TlustyXX100.00622294608272766971676561837356305000343700,000$
11Michael FrolikXX100.00692794698171867369697260797677235000341500,000$
12Lukas SedlakXX99.00723186758171887493737266786149475000291999,000$
13Joakim RyanX100.00633090797685824750474884725449485000293510,000$
14Ian McCoshenX99.00774668829485885754545687804543585000262850,000$
15David RundbladX97.00593693719077835450534989706356385000311800,000$
16Brian LashoffX100.00574093668375874650455183506250305000313500,000$
17Scott HarringtonX100.00673886738675875150505188765950475000294900,000$
18Ladislav SmidX100.00774550497971915050495085607567175000362500,000$
Rayé
MOYENNE D’ÉQUIPE99.5069328770827687656663647175645838500
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
1Adam Dennis99.0062837375688489878866719992145000371500,000$
2Jonathan Quick98.0058939682768781898975848988385000362910,000$
Rayé
1Eric Comrie (R)100.0075787773758382838580775353535000262825,000$
MOYENNE D’ÉQUIPE99.006585827773858486877477807835500
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
1Shane PrinceWilkes-Barre/Scranton (PIT)LW/RW823239710360117742586817012.40%7121114.7861016341150000294249.50%10100001.1700000592
2Ian McCoshenWilkes-Barre/Scranton (PIT)D78214465-2011735209105255701728.24%208191524.5678151232671014215200%000110.6800124315
3Brendan LeipsicWilkes-Barre/Scranton (PIT)LW79233962143208390287902028.01%14120315.2317832920002252147.92%14400001.0300000323
4Tyler PitlickWilkes-Barre/Scranton (PIT)RW65204161-19360116101282962247.09%23141521.78813216921301131663151.08%32500000.8601000421
5Michael FrolikWilkes-Barre/Scranton (PIT)LW/RW75263258-146065712597320310.04%15139818.64511165318710151443149.57%23400000.8300000212
6Ladislav SmidWilkes-Barre/Scranton (PIT)D8223315431315163481834310012.57%145170920.8513518982780003211300%000000.6300001041
7Rob SchrempWilkes-Barre/Scranton (PIT)C/LW/RW822330535415691231944311011.86%6120914.75369221060000213152.40%166800000.8800100340
8Jesper FastWilkes-Barre/Scranton (PIT)RW53212950-324010781282781767.45%19120022.653695218600051593144.88%36100000.8311000143
9David RundbladWilkes-Barre/Scranton (PIT)D74104050-21602876182641305.49%188174523.594812912540000232000%000000.5700000120
10Lukas SedlakWilkes-Barre/Scranton (PIT)C/LW42152439516056109175531368.57%1190721.602573112911271122057.72%138600010.8601000303
11Evgenii DadonovWilkes-Barre/Scranton (PIT)LW/RW50152338-93807065247571866.07%6115323.0649135417200061432050.38%26000010.6600000200
12Joakim RyanWilkes-Barre/Scranton (PIT)D80728359440566911139696.31%102123815.482242260011259100%000000.5700000004
13Karl AlznerPittsburghD50122133041154443100386012.00%95106321.264812441620002156100%000000.6200102020
14Jiri TlustyWilkes-Barre/Scranton (PIT)LW/RW82111930180314111949879.24%97859.580001130000193047.92%9600000.7600000001
15Scott HarringtonWilkes-Barre/Scranton (PIT)D6562228622020609436766.38%10197815.051452779011087100%000000.5700000000
16Brian LashoffWilkes-Barre/Scranton (PIT)D7881927638041529926548.08%125107913.8401159000087000%000000.5000000100
17Jean Gabriel PageauPittsburghC2071522-38023457121559.86%231415.721671337000001047.73%52800001.4000000200
18Matt NietoPittsburghLW/RW2531518-56014339620643.13%442016.8213411460000280053.33%6000000.8600000001
19Alan QuineWilkes-Barre/Scranton (PIT)C/LW/RW2681018-40021519730688.25%447618.321452699000030053.04%79000000.7600000000
20Milan LucicWilkes-Barre/Scranton (PIT)LW7910818-1300622010628769.43%56428.14000010001141154.17%7200000.5600000100
21Zac DalpeWilkes-Barre/Scranton (PIT)C/RW8271017-131007858727748.05%45787.0600000000010049.83%86500000.5900000000
22Adam ErnePittsburghLW/RW753804018133982912.82%316323.341017250000210050.88%5700000.9800000020
23Jonathan EricssonPittsburghD59077-1526035164012190%555359.0702217000131000%000000.2600000000
24Kerby RychelPittsburghLW66134-4202712268283.85%31722.6200013000060061.90%2100000.4600000000
Statistiques d’équipe totales ou en moyenne1481314552866-6976260148214833689107725688.51%11542351915.8867118185817255134741198135852.08%696800130.7413327313326
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
1Eric ComrieWilkes-Barre/Scranton (PIT)35201220.9223.572034221211542011003326703
2Adam DennisWilkes-Barre/Scranton (PIT)2613930.9064.481515801131199010002622131
3Jonathan QuickWilkes-Barre/Scranton (PIT)1741210.9163.8810210066785002021727211
4Anton ForsbergPittsburgh31200.9243.6718000111450000030100
Statistiques d’équipe totales ou en moyenne81383560.9153.9347511023113671023279751145


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 Ballotage forcé Waiver Possible 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 10Lien
Adam DennisWilkes-Barre/Scranton (PIT)G371985-02-08 17:37:02No197 Lbs5 ft11NoNoNoNo1Pro & Farm500,000$2,924$0$0$No
Alan Quine (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)C/LW/RW291993-02-25No204 Lbs6 ft0NoNoNoNo3Pro & Farm500,000$5,000$0$No500,000$500,000$Lien
Brendan Leipsic (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)LW281994-05-19No186 Lbs5 ft10NoNoYesYes1Pro & Farm1,000,000$10,000$0$NoLien
Brian LashoffWilkes-Barre/Scranton (PIT)D311990-07-16No219 Lbs6 ft3NoNoNoNo3Pro & Farm500,000$2,924$0$0$No500,000$500,000$Lien
David Rundblad (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)D311990-10-08No194 Lbs6 ft2NoNoYesYes1Pro & Farm800,000$8,000$0$NoLien
Eric ComrieWilkes-Barre/Scranton (PIT)G261995-07-06 08:58:51Yes175 Lbs6 ft1NoNoNoNo2Pro & Farm825,000$4,825$0$0$No825,000$Lien
Evgenii Dadonov (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)LW/RW331989-03-12No186 Lbs5 ft11NoNoYesYes1Pro & Farm2,850,000$28,500$0$NoLien
Ian McCoshenWilkes-Barre/Scranton (PIT)D261995-08-05No221 Lbs6 ft3NoNoNoNo2Pro & Farm850,000$4,971$0$0$No850,000$Lien
Jesper Fast (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)RW301991-12-02 06:52:04No191 Lbs6 ft1NoNoYesYes2Pro & Farm1,000,000$10,000$0$No1,000,000$Lien
Jiri TlustyWilkes-Barre/Scranton (PIT)LW/RW341988-03-16No210 Lbs6 ft0NoNoNoNo3Pro & Farm700,000$4,094$0$0$No700,000$700,000$Lien
Joakim RyanWilkes-Barre/Scranton (PIT)D291993-06-17No191 Lbs5 ft11NoNoNoNo3Pro & Farm510,000$2,982$0$0$No510,000$510,000$Lien
Jonathan Quick (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)G361986-01-22 06:17:05No227 Lbs6 ft1NoNoYesYes2Pro & Farm910,000$9,100$0$No910,000$
Ladislav SmidWilkes-Barre/Scranton (PIT)D361986-02-01No214 Lbs6 ft3NoNoNoNo2Pro & Farm500,000$2,924$0$0$No500,000$Lien
Lukas Sedlak (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)C/LW291993-02-25No209 Lbs6 ft0NoNoYesYes1Pro & Farm999,000$9,990$0$NoLien
Michael FrolikWilkes-Barre/Scranton (PIT)LW/RW341988-02-17No192 Lbs6 ft1NoNoNoNo1Pro & Farm500,000$2,924$0$0$NoLien
Milan LucicWilkes-Barre/Scranton (PIT)LW341988-06-07No240 Lbs6 ft3NoNoNoNo1Pro & Farm500,000$2,924$0$0$NoLien
Rob SchrempWilkes-Barre/Scranton (PIT)C/LW/RW361986-01-11No217 Lbs5 ft11NoNoNoNo3Pro & Farm500,000$2,924$0$0$No500,000$500,000$
Scott Harrington (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)D291993-03-10No221 Lbs6 ft2NoNoYesYes4Pro & Farm900,000$9,000$0$No900,000$900,000$900,000$Lien
Shane PrinceWilkes-Barre/Scranton (PIT)LW/RW291992-11-16No196 Lbs5 ft11NoNoNoNo3Pro & Farm500,000$2,924$0$0$No500,000$500,000$Lien
Tyler PitlickWilkes-Barre/Scranton (PIT)RW301991-11-01No203 Lbs6 ft2NoNoNoNo2Pro & Farm1,000,000$5,848$0$0$No1,000,000$Lien
Zac DalpeWilkes-Barre/Scranton (PIT)C/RW321989-11-01No203 Lbs6 ft1NoNoNoNo1Pro & Farm1,100,000$6,433$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2131.38205 Lbs6 ft12.00830,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evgenii DadonovLukas SedlakJesper Fast35122
2Brendan LeipsicAlan QuineTyler Pitlick30122
3Michael FrolikRob SchrempShane Prince25122
4Milan LucicZac DalpeJiri Tlusty10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshenDavid Rundblad35122
2Scott HarringtonLadislav Smid30122
3Joakim RyanBrian Lashoff25122
4Ian McCoshenDavid Rundblad10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evgenii DadonovLukas SedlakJesper Fast50122
2Brendan LeipsicAlan QuineTyler Pitlick50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshenDavid Rundblad50122
2Scott HarringtonLadislav Smid50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lukas SedlakEvgenii Dadonov50122
2Jesper FastTyler Pitlick50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshenDavid Rundblad50122
2Scott HarringtonLadislav Smid50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lukas Sedlak50122Ian McCoshenDavid Rundblad50122
2Evgenii Dadonov50122Scott HarringtonLadislav Smid50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lukas SedlakEvgenii Dadonov50122
2Jesper FastTyler Pitlick50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshenDavid Rundblad50122
2Scott HarringtonLadislav Smid50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evgenii DadonovLukas SedlakJesper FastIan McCoshenDavid Rundblad
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evgenii DadonovLukas SedlakJesper FastIan McCoshenDavid Rundblad
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Frolik, Shane Prince, Rob SchrempMichael Frolik, Shane PrinceRob Schremp
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joakim Ryan, Brian Lashoff, Scott HarringtonJoakim RyanBrian Lashoff, Scott Harrington
Tirs de pénalité
Lukas Sedlak, Evgenii Dadonov, Jesper Fast, Tyler Pitlick, Brendan Leipsic
Gardien
#1 : Jonathan Quick, #2 : Adam Dennis
Lignes d’attaque personnalisées en prolongation
Lukas Sedlak, Evgenii Dadonov, 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, David Rundblad, Scott Harrington, 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
1Abbotsford211000001165110000008171010000035-220.500112132001231018441161302120011452268208336350.00%40100.00%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
2Bakersfield321000008622110000045-11100000041340.66781523001231018441281302120011452215140482610110.00%21385.71%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
3Bridgeport615000001421-731200000912-33030000059-420.1671427410012310184425813021200114522249676211124416.67%24770.83%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
4Charlotte716000002041-21413000001723-630300000318-1520.143203757001231018443281302120011452233897771173825.26%291065.52%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
5Cleveland422000001823-5211000001011-121100000812-440.50018325000123101844172130212001145221996745789555.56%19384.21%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
6Coachella Valley4310000015123220000008442110000078-160.750152843101231018441791302120011452218357415615533.33%18477.78%11874367950.94%1877373650.24%756146851.50%1900127319486291089541
7Eagles20200000313-101010000023-110100000110-900.000369001231018447713021200114522106221434300.00%6266.67%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
8Grand Rapids422000001718-12020000058-3220000001210240.500173047001231018441991302120011452215842246018316.67%10280.00%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
9Hartford641001002118333000000927311001001216-490.7502137580112310184425213021200114522273686010929517.24%28775.00%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
10Hershey62201100232213120000078-1310011001614270.5832341640012310184428913021200114522245695910323417.39%26484.62%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
11Iowa2110000089-1110000005321010000036-320.500815230012310184476130212001145221203720348337.50%9366.67%11874367950.94%1877373650.24%756146851.50%1900127319486291089541
12Laval422000001921-2211000001110121100000811-340.500193352001231018441701302120011452221571347017529.41%16662.50%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
13Lehigh Valley603012002430-6301002001114-3302010001316-340.3332442660012310184427013021200114522297925411231412.90%24866.67%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
14Manitoba3300000013671100000030322000000106461.000132336011231018441301302120011452211934187116212.50%9277.78%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
15Ontario2010000147-31010000024-21000000123-110.2504610101231018447813021200114522992514405120.00%60100.00%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
16Providence422000001618-221100000121022110000048-440.500162642001231018441911302120011452219852268518316.67%13284.62%11874367950.94%1877373650.24%756146851.50%1900127319486291089541
17Rochester43100000191542110000010822200000097260.750193453001231018441761302120011452217753337916850.00%13376.92%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
18Rockford20200000610-41010000035-21010000035-200.0006111710123101844104130212001145221032414301000.00%6266.67%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
19San Diego32001000171251000100065122000000117461.000173249001231018441321302120011452211628166016425.00%8187.50%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
20San Jose21000100101001000010056-11100000054130.750101626001231018448013021200114522973419469222.22%7271.43%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
21Springfield2110000078-11010000013-21100000065120.500712190012310184478130212001145229620204010220.00%9277.78%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
22Syracuse211000001082110000007341010000035-220.5001018280012310184497130212001145221062732326116.67%11463.64%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
23Texas21100000862110000007341010000013-220.500813210012310184486130212001145221014824409444.44%12283.33%01874367950.94%1877373650.24%756146851.50%1900127319486291089541
Total82353803501311340-29411819013001621511141171902201149189-40820.500311555866321231018443666130212001145223814109476214663467120.52%3287975.91%31874367950.94%1877373650.24%756146851.50%1900127319486291089541
_Since Last GM Reset82353803501311340-29411819013001621511141171902201149189-40820.500311555866321231018443666130212001145223814109476214663467120.52%3287975.91%31874367950.94%1877373650.24%756146851.50%1900127319486291089541
_Vs Conference55222702400206239-3328121400200109110-12710130220097129-32520.4732063675731112310184424841302120011452225327355159802384820.17%2205674.55%21874367950.94%1877373650.24%756146851.50%1900127319486291089541
_Vs Division2881702400100114-141468002004647-11429022005467-13240.4291001792790112310184412411302120011452212633632805131162218.97%1212976.03%01874367950.94%1877373650.24%756146851.50%1900127319486291089541

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8282L5311555866366638141094762146632
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8235383501311340
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118191300162151
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4117192201149189
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3467120.52%3287975.91%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
13021200114522123101844
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
1874367950.94%1877373650.24%756146851.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1900127319486291089541


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
211Wilkes-Barre/Scranton6Hartford5AWSommaire du match
420Bridgeport1Wilkes-Barre/Scranton5BWSommaire du match
531Hartford1Wilkes-Barre/Scranton4BWSommaire du match
745Wilkes-Barre/Scranton6Manitoba5AWSommaire du match
952Hershey1Wilkes-Barre/Scranton3BWSommaire du match
1165Wilkes-Barre/Scranton0Charlotte7ALSommaire du match
1379Lehigh Valley5Wilkes-Barre/Scranton4BLXSommaire du match
1693Wilkes-Barre/Scranton8Lehigh Valley7AWXSommaire du match
18106Charlotte11Wilkes-Barre/Scranton5BLSommaire du match
19111Wilkes-Barre/Scranton0Bridgeport2ALSommaire du match
21126Wilkes-Barre/Scranton1Charlotte8ALSommaire du match
23138Laval6Wilkes-Barre/Scranton4BLSommaire du match
25153Providence4Wilkes-Barre/Scranton8BWSommaire du match
27166Rochester3Wilkes-Barre/Scranton10BWSommaire du match
30179Wilkes-Barre/Scranton6Grand Rapids5AWSommaire du match
31186Wilkes-Barre/Scranton5Rochester4AWSommaire du match
33202Cleveland3Wilkes-Barre/Scranton4BWSommaire du match
35215Wilkes-Barre/Scranton3Hartford4ALXSommaire du match
36221Bridgeport7Wilkes-Barre/Scranton2BLSommaire du match
38234Wilkes-Barre/Scranton2Charlotte3ALSommaire du match
40247Texas3Wilkes-Barre/Scranton7BWSommaire du match
43262Wilkes-Barre/Scranton4Cleveland3AWSommaire du match
45273Wilkes-Barre/Scranton6San Diego4AWSommaire du match
47283San Jose6Wilkes-Barre/Scranton5BLXSommaire du match
48293Wilkes-Barre/Scranton3Iowa6ALSommaire du match
50305Wilkes-Barre/Scranton8Hershey7AWXSommaire du match
52312Coachella Valley3Wilkes-Barre/Scranton5BWSommaire du match
55328Lehigh Valley5Wilkes-Barre/Scranton4BLXSommaire du match
57341Wilkes-Barre/Scranton1Eagles10ALSommaire du match
58353Charlotte4Wilkes-Barre/Scranton2BLSommaire du match
60367Wilkes-Barre/Scranton3Abbotsford5ALSommaire du match
62372Wilkes-Barre/Scranton3Hartford7ALSommaire du match
64382Syracuse3Wilkes-Barre/Scranton7BWSommaire du match
66396Eagles3Wilkes-Barre/Scranton2BLSommaire du match
68409Wilkes-Barre/Scranton4Bakersfield1AWSommaire du match
70417Wilkes-Barre/Scranton3Coachella Valley2AWSommaire du match
71429Hershey4Wilkes-Barre/Scranton2BLSommaire du match
73443Rochester5Wilkes-Barre/Scranton0BLSommaire du match
75456Wilkes-Barre/Scranton5San Jose4AWSommaire du match
77468Wilkes-Barre/Scranton0Providence6ALSommaire du match
78476Wilkes-Barre/Scranton4Rochester3AWSommaire du match
80483Rockford5Wilkes-Barre/Scranton3BLSommaire du match
82500Wilkes-Barre/Scranton4Manitoba1AWSommaire du match
84508Laval4Wilkes-Barre/Scranton7BWSommaire du match
87523Wilkes-Barre/Scranton4Cleveland9ALSommaire du match
88531Abbotsford1Wilkes-Barre/Scranton8BWSommaire du match
91549Cleveland8Wilkes-Barre/Scranton6BLSommaire du match
93561Wilkes-Barre/Scranton3Syracuse5ALSommaire du match
95570Manitoba0Wilkes-Barre/Scranton3BWSommaire du match
97582Wilkes-Barre/Scranton6Springfield5AWSommaire du match
99594Wilkes-Barre/Scranton4Providence2AWSommaire du match
100600Ontario4Wilkes-Barre/Scranton2BLSommaire du match
103616Wilkes-Barre/Scranton2Ontario3ALXXSommaire du match
104625Bakersfield1Wilkes-Barre/Scranton3BWSommaire du match
106640San Diego5Wilkes-Barre/Scranton6BWXSommaire du match
107647Wilkes-Barre/Scranton5San Diego3AWSommaire du match
110665Iowa3Wilkes-Barre/Scranton5BWSommaire du match
112677Wilkes-Barre/Scranton3Lehigh Valley5ALSommaire du match
115692Coachella Valley1Wilkes-Barre/Scranton3BWSommaire du match
118708Wilkes-Barre/Scranton2Bridgeport3ALSommaire du match
119716Providence6Wilkes-Barre/Scranton4BLSommaire du match
122735Springfield3Wilkes-Barre/Scranton1BLSommaire du match
124748Wilkes-Barre/Scranton3Rockford5ALSommaire du match
126757Wilkes-Barre/Scranton3Bridgeport4ALSommaire du match
127765Grand Rapids4Wilkes-Barre/Scranton3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
129775Wilkes-Barre/Scranton2Lehigh Valley4ALSommaire du match
132786Lehigh Valley4Wilkes-Barre/Scranton3BLSommaire du match
135801Wilkes-Barre/Scranton6Laval3AWSommaire du match
137810Hershey3Wilkes-Barre/Scranton2BLSommaire du match
141830Wilkes-Barre/Scranton4Coachella Valley6ALSommaire du match
142836Charlotte3Wilkes-Barre/Scranton6BWSommaire du match
145856Hartford0Wilkes-Barre/Scranton2BWSommaire du match
146866Wilkes-Barre/Scranton6Grand Rapids5AWSommaire du match
149882Hartford1Wilkes-Barre/Scranton3BWSommaire du match
151893Wilkes-Barre/Scranton3Hershey4ALXSommaire du match
153904Charlotte5Wilkes-Barre/Scranton4BLSommaire du match
155915Wilkes-Barre/Scranton5Hershey3AWSommaire du match
156920Wilkes-Barre/Scranton2Laval8ALSommaire du match
158933Grand Rapids4Wilkes-Barre/Scranton2BLSommaire du match
161950Bridgeport4Wilkes-Barre/Scranton2BLSommaire du match
168971Bakersfield4Wilkes-Barre/Scranton1BLSommaire du match
169979Wilkes-Barre/Scranton1Texas3ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4525
Assistance77,16339,273
Assistance PCT94.10%95.79%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2840 - 94.66% 146,661$6,013,117$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,508,024$ 848,500$ 848,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
4,962$ 1,016,799$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 13,734$ 13,734$




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 Gambrell22172135207-381924884109257.78%48414318.75206080217000102451.17%01.0015
2Adam Henrique18879100179-27513024870511.21%39403121.44222749163033168653.61%10.8948
3Jesper Boqvist1526411417820642282007089.04%44295019.41263460170000610846.65%21.2124
4Joey Anderson1487696172108417819668011.18%34282919.1226386417420268641.33%61.2204
5Jack Roslovic1365811116915741482437168.10%61293621.591435491672241511351.35%11.1501

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 Georgiyev119664090.9133.2768908337543250550.78919
2Pheonix Copley74402460.9193.81421916026832980220.6676
3Charlie Lindgren46171780.9133.73263714016418850300.70617
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
2182392906512321320141191604101167170-34120130241115415049932156088130123999273540117411591172453662104387614713659425.75%3587379.61%41826356951.16%1778363548.91%705145948.32%1956132019066261092541
Total Saison régulière246991170101523878966-8812354550481144943415123456206712429532-10324087815572435853342752571599773445327232027310535305524844519100420019.92%106123577.85%1152341040550.30%52881081848.88%2143425850.33%563937615945190432451602
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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

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