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Wilkes-Barre/Scranton
GP: 82 | W: 43 | L: 26 | OTL: 13 | P: 99
GF: 261 | GA: 248 | PP%: 17.07% | PK%: 84.94%
DG: Sebastien Lefebvre | Morale : 50 | Moyenne d’équipe : N/A

Centre de jeu
Wilkes-Barre/Scranton
43-26-13, 99pts
3
FINAL
2 Bridgeport
42-30-10, 94pts
Team Stats
SOL1SéquenceW1
20-12-9Fiche domicile21-17-3
23-14-4Fiche domicile21-13-7
6-3-1Derniers 10 matchs6-4-0
3.18Buts par match 3.26
3.02Buts contre par match 2.85
17.07%Pourcentage en avantage numérique18.57%
84.94%Pourcentage en désavantage numérique84.88%
Hershey
45-29-8, 98pts
6
FINAL
5 Wilkes-Barre/Scranton
43-26-13, 99pts
Team Stats
W6SéquenceSOL1
19-18-4Fiche domicile20-12-9
26-11-4Fiche domicile23-14-4
7-2-1Derniers 10 matchs6-3-1
3.18Buts par match 3.18
2.96Buts contre par match 3.02
16.32%Pourcentage en avantage numérique17.07%
82.80%Pourcentage en désavantage numérique84.94%
Meneurs d'équipe
Buts
Michael Rasmussen
30
Passes
Michael Rasmussen
43
Points
Michael Rasmussen
73
Plus/Moins
Nick Ritchie
15
Eric ComrieVictoires
Eric Comrie
28
Pourcentage d’arrêts
Felix Sandstrom
0.922

Statistiques d’équipe
Buts pour
261
3.18 GFG
Tirs pour
2993
36.50 Avg
Pourcentage en avantage numérique
17.1%
63 GF
Début de zone offensive
41.2%
Buts contre
248
3.02 GAA
Tirs contre
2900
35.37 Avg
Pourcentage en désavantage numérique
84.9%%
50 GA
Début de la zone défensive
41.6%
Informations de l'équipe

Directeur généralSebastien Lefebvre
EntraîneurDan Bylsma
DivisionAtlantique
ConférenceConference est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,873
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 50
Espoirs27


Historique d'équipe

Saison actuelle43-26-13 (99PTS)
Historique0-0-0
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
1Nick RitchieX100.008550638392849973816974608247425250002721,200,000$
2Jesper FastX100.007727927481798871696871667469662950003111,000,000$
3Michael Rasmussen (R)XXX100.00873585729583917484747470774646695000242900,000$
4Jean Gabriel PageauX100.00693298826078776866657363755650235000301510,000$
5Rickard RakellX99.008732907984869975707377629566664750003022,200,000$
6Evgenii DadonovXX100.00733188687982877567706960787471325000343500,000$
7James Van RiemsdykXX99.007731927175678277537374688779752850003422,000,000$
8Tyler PitlickX100.007129877178758972697471727663594750003111,000,000$
9Matt NietoXX100.00672599808587866773686860846349445000303600,000$
10Alan QuineXXX100.00652892777876857183677262835951455000302500,000$
11Brendan LeipsicX100.00702792777881897373717062815856465000291925,000$
12Jiri TlustyXX100.00622293588069766771656360837459275000352700,000$
13Lukas SedlakXX100.007029887380708873937271657865534150003041,000,000$
14Luke SchennX100.00764053597979995625565089566780335000333500,000$
15Ron HainseyX100.0058308739817497495045499066999915000421610,000$
16Ian McCoshenX99.00794963829585885954565888804945535000271850,000$
17Louis Belpedio (R)X100.00752599798177994470424494755757505000271500,000$
18Ian Mitchell (R)X100.00742599818481994470454186754646645000242700,000$
19Scott HarringtonX100.00633886728673885050494988756149425000303900,000$
Rayé
1Kerby RychelX100.00693284729371836475656560785042475000281600,000$
2Rob SchrempXXX100.00663180507664887073636856808369135000372500,000$
3Shane PrinceXX100.00712786717474877173687059796760355000302500,000$
4Joakim RyanX100.00633086787583824750464884725651455000302510,000$
5Brian LashoffX100.00563889638174874550445083506352285000322500,000$
6Ladislav SmidX100.00754149447968914950475084607667155000371500,000$
MOYENNE D’ÉQUIPE99.8871328570817789636661637276645838500
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
1Eric Comrie99.0074788073778584868780775656495000271825,000$
2Felix Sandstrom (R)100.0063957580748565707574545453555000261500,000$
Rayé
1Daniel Vladar (R)100.0064997986758775788177765353605000251500,000$
MOYENNE D’ÉQUIPE99.676791788075867578817769545455500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma87768987949974USA5433,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Michael RasmussenWilkes-Barre/Scranton (PIT)C/LW/RW82304373-578101691832958420910.17%10176221.4910182880307202132557354.46%237800110.8313101544
2Rickard RakellWilkes-Barre/Scranton (PIT)RW59204262-23609677241751638.30%2132322.43619255522410181772050.69%43200010.9402000282
3Ian McCoshenWilkes-Barre/Scranton (PIT)D8219426141242011592230701338.26%133196723.99810181153120001246310%000200.6200103323
4Tyler PitlickWilkes-Barre/Scranton (PIT)RW8017425933206598294812245.78%14147218.4031417752980004893148.89%18000000.8003000243
5Luke SchennWilkes-Barre/Scranton (PIT)D81153550-9123514384146388510.27%116193923.9481018713100000238410%000000.5200000223
6Lukas SedlakWilkes-Barre/Scranton (PIT)C/LW79203050324068136239661658.37%11161920.50691546283112112544155.93%171300000.6203000314
7James Van RiemsdykWilkes-Barre/Scranton (PIT)LW/RW59173047-3403863187551399.09%12129621.9859143021701132004142.14%28000000.7202000323
8Nick RitchieWilkes-Barre/Scranton (PIT)LW79152540157551395115133869.93%77709.751233350000133051.72%5800001.0400001135
9Evgenii DadonovWilkes-Barre/Scranton (PIT)LW/RW82172239-541511450180511219.44%7133116.235712462670000374144.80%12500010.5901001200
10Alan QuineWilkes-Barre/Scranton (PIT)C/LW/RW82142539-416033130164491278.54%7112213.6903319890002121054.56%147900000.7000000002
11Jesper FastWilkes-Barre/Scranton (PIT)RW81191938-126078671885614710.11%14113714.0501115800001503151.41%14200000.6700000230
12Louis BelpedioWilkes-Barre/Scranton (PIT)D82132437952012776140321079.29%150176821.5751015763010331260000%000000.4200000015
13Jean Gabriel PageauWilkes-Barre/Scranton (PIT)C821715328601462116227714.66%46598.0400000000020142.80%75700000.9700000133
14Brendan LeipsicWilkes-Barre/Scranton (PIT)LW8292332-21403957144421146.25%384110.260007320000133045.07%7100000.7600000022
15Ron HainseyWilkes-Barre/Scranton (PIT)D8271320844055609028717.78%123169020.62426402690110234110%000000.2400000001
16Ian MitchellWilkes-Barre/Scranton (PIT)D8131316018056505225345.77%105124415.360001140000108000%000000.2600000021
17Matt NietoWilkes-Barre/Scranton (PIT)LW/RW76210123408144214314.76%13044.010001120000140039.39%3300000.7901000000
18Scott HarringtonWilkes-Barre/Scranton (PIT)D38471143210133534102411.76%4160215.8612393600003210100.00%100000.3700101002
19Shane PrinceWilkes-Barre/Scranton (PIT)LW/RW5226836018232610417.69%13296.3400000000040158.62%2900000.4900000000
20Ladislav SmidWilkes-Barre/Scranton (PIT)D45156-54957314228254.55%5065814.6310139000028000%000000.1800010000
21Jiri TlustyWilkes-Barre/Scranton (PIT)LW/RW35022400125250%0581.6800003000030033.33%2400000.6801000000
22Rob SchrempWilkes-Barre/Scranton (PIT)C/LW/RW12011200466440%0746.2400000000000047.89%7100000.2700000000
23Kerby RychelWilkes-Barre/Scranton (PIT)LW1000000000000%000.370000000000000%00000000000000
24Brian LashoffWilkes-Barre/Scranton (PIT)D1000000100000%11515.620000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1515261474735308046014671430299285521328.72%8122399115.846311617969231084610442281431352.40%777300330.61116317263743
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)48281370.9162.8728610313716330300.800104725624
2Felix SandstromWilkes-Barre/Scranton (PIT)2310650.9222.76132522617800100.66762138320
3Daniel VladarWilkes-Barre/Scranton (PIT)145710.9033.617810047487000001418100
Statistiques d’équipe totales ou en moyenne854326130.9162.9649672524529000401682811044


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis 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 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
Alan Quine (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)C/LW/RW301993-02-25CANNo204 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$5,000$0$No500,000$--------500,000$--------No--------Lien
Brendan LeipsicWilkes-Barre/Scranton (PIT)LW291994-05-19CANNo186 Lbs5 ft10NoNoN/ANoNo12024-09-15FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Brian LashoffWilkes-Barre/Scranton (PIT)D321990-07-16USANo219 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Daniel VladarWilkes-Barre/Scranton (PIT)G251997-08-20CZEYes209 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Eric ComrieWilkes-Barre/Scranton (PIT)G271995-07-06CANNo175 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien / Lien NHL
Evgenii DadonovWilkes-Barre/Scranton (PIT)LW/RW341989-03-12RUSNo186 Lbs5 ft11NoNoFree AgentNoNo32024-10-09FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Felix SandstromWilkes-Barre/Scranton (PIT)G261997-01-12SWEYes211 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Ian McCoshenWilkes-Barre/Scranton (PIT)D271995-08-05USANo221 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Ian MitchellWilkes-Barre/Scranton (PIT)D241999-01-18CANYes192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------
James Van Riemsdyk (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)LW/RW341989-05-04USANo207 Lbs6 ft3NoNoN/AYesYes2FalseFalsePro & Farm2,000,000$20,000$0$No2,000,000$--------2,000,000$--------No--------Lien / Lien NHL
Jean Gabriel PageauWilkes-Barre/Scranton (PIT)C301992-11-11CANNo172 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm510,000$0$0$No---------------------------Lien
Jesper Fast (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)RW311991-12-02SWENo191 Lbs6 ft1NoNoN/AYesYes1FalseFalsePro & Farm1,000,000$10,000$0$No---------------------------Lien / Lien NHL
Jiri TlustyWilkes-Barre/Scranton (PIT)LW/RW351988-03-16CZENo210 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Joakim RyanWilkes-Barre/Scranton (PIT)D301993-06-17USANo191 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm510,000$0$0$No510,000$--------510,000$--------No--------Lien
Kerby RychelWilkes-Barre/Scranton (PIT)LW281994-10-07USANo215 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No---------------------------Lien
Ladislav SmidWilkes-Barre/Scranton (PIT)D371986-02-01CZENo214 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Louis BelpedioWilkes-Barre/Scranton (PIT)D271996-05-14USAYes197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Lukas SedlakWilkes-Barre/Scranton (PIT)C/LW301993-02-25CZENo209 Lbs6 ft0NoNoN/ANoNo42024-09-15FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien
Luke Schenn (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)D331989-11-02CANNo235 Lbs6 ft2NoNoFree AgentYesYes32024-10-02FalseFalsePro & Farm500,000$5,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Matt Nieto (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)LW/RW301992-11-05USANo198 Lbs5 ft11NoNoN/AYesYes3FalseFalsePro & Farm600,000$6,000$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien / Lien NHL
Michael RasmussenWilkes-Barre/Scranton (PIT)C/LW/RW241999-04-17CANYes220 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Nick Ritchie (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)LW271995-12-05CANNo242 Lbs6 ft2NoNoN/AYesYes2FalseFalsePro & Farm1,200,000$12,000$0$No1,200,000$--------1,200,000$--------No--------Lien
Rickard Rakell (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)RW301993-05-05SWENo195 Lbs6 ft1NoNoN/AYesYes2FalseFalsePro & Farm2,200,000$22,000$0$No2,200,000$--------2,200,000$--------No--------Lien / Lien NHL
Rob SchrempWilkes-Barre/Scranton (PIT)C/LW/RW371986-01-11USANo217 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------
Ron HainseyWilkes-Barre/Scranton (PIT)D421981-03-24USANo205 Lbs6 ft3NoNoFree AgentNoNo12024-09-30FalseFalsePro & Farm610,000$0$0$No---------------------------Lien
Scott Harrington (contrat à 1 volet)Wilkes-Barre/Scranton (PIT)D301993-03-10CANNo221 Lbs6 ft2NoNoN/AYesYes3FalseFalsePro & Farm900,000$9,000$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Shane PrinceWilkes-Barre/Scranton (PIT)LW/RW301992-11-16USANo196 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Tyler PitlickWilkes-Barre/Scranton (PIT)RW311991-11-01USANo203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2830.36205 Lbs6 ft11.79786,786$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James Van RiemsdykMichael RasmussenRickard Rakell35122
2Evgenii DadonovLukas SedlakTyler Pitlick30122
3Brendan LeipsicAlan QuineJesper Fast25122
4Nick RitchieJean Gabriel PageauMatt Nieto10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshenLuke Schenn35122
2Louis BelpedioRon Hainsey30122
3Scott HarringtonIan Mitchell25122
4Ian McCoshenLuke Schenn10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James Van RiemsdykMichael RasmussenRickard Rakell50122
2Evgenii DadonovLukas SedlakTyler Pitlick50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshenLuke Schenn50122
2Louis BelpedioRon Hainsey50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rickard RakellJames Van Riemsdyk50122
2Michael RasmussenLukas Sedlak50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshenLuke Schenn50122
2Louis BelpedioRon Hainsey50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rickard Rakell50122Ian McCoshenLuke Schenn50122
2James Van Riemsdyk50122Louis BelpedioRon Hainsey50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rickard RakellJames Van Riemsdyk50122
2Michael RasmussenLukas Sedlak50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian McCoshenLuke Schenn50122
2Louis BelpedioRon Hainsey50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James Van RiemsdykMichael RasmussenRickard RakellIan McCoshenLuke Schenn
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James Van RiemsdykMichael RasmussenRickard RakellIan McCoshenLuke Schenn
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jiri Tlusty, Brendan Leipsic, Jesper FastJiri Tlusty, Brendan LeipsicJesper Fast
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Harrington, Ian Mitchell, Louis BelpedioScott HarringtonIan Mitchell, Louis Belpedio
Tirs de pénalité
Rickard Rakell, James Van Riemsdyk, Michael Rasmussen, Lukas Sedlak, Tyler Pitlick
Gardien
#1 : Eric Comrie, #2 : Felix Sandstrom
Lignes d’attaque personnalisées en prolongation
Rickard Rakell, James Van Riemsdyk, Michael Rasmussen, Lukas Sedlak, Tyler Pitlick, Evgenii Dadonov, Brendan Leipsic, Jesper Fast, Nick Ritchie, Alan Quine
Lignes de défense personnalisées en prolongation
Ian McCoshen, Luke Schenn, Louis Belpedio, Ron Hainsey, Scott Harrington


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
1Abbotsford32000100181261000010067-122000000125750.83318335100101906561431023948981571083020629222.22%10190.00%11702318553.44%1693321952.59%685132651.66%1950131919416391080534
2Bakersfield421001001818020100100811-322000000107350.625183452001019065615610239489815713636326622418.18%13469.23%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
3Bridgeport41201000814-62010100057-22110000037-440.50081523001019065611210239489815716639396414214.29%15286.67%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
4Charlotte413000001113-22020000048-42110000075220.250112031001019065614010239489815716843498120210.00%160100.00%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
5Cleveland4210010012120210001008802110000044050.625122335011019065615110239489815713425387632515.63%18288.89%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
6Coachella Valley31200000612-62110000045-11010000027-520.333610160010190656791023948981571173239599111.11%17288.24%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
7Eagles31002000954100010004312100100052361.000917260010190656107102394898157993227491218.33%11190.91%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
8Grand Rapids4120010089-1211000006512010010024-230.3758132100101906561461023948981571253738801616.25%18288.89%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
9Hartford44000000191092200000092722000000108281.000193251011019065614710239489815712539367324520.83%18383.33%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
10Hershey411010011416-220001001101002110000046-250.625142741001019065616210239489815716852287812325.00%13192.31%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
11Iowa330000001367220000007341100000063361.00013243701101906561361023948981577721275513215.38%70100.00%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
12Laval4130000089-12020000025-32110000064220.2508152300101906561361023948981571442836651715.88%15380.00%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
13Lehigh Valley411002001013-32000020046-22110000067-140.500101727001019065616210239489815715241476117211.76%20290.00%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
14Manitoba32000100981220000006421000010034-150.8339162500101906569710239489815710727305813215.38%12375.00%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
15Ontario41300000914-51010000024-231200000710-320.2509172600101906561111023948981571525159701516.67%21671.43%11702318553.44%1693321952.59%685132651.66%1950131919416391080534
16Providence4210010013130220000009452010010049-550.62513243700101906561281023948981571294635651715.88%15286.67%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
17Rochester440000002111102200000012662200000095481.000213758001019065615310239489815715449396717952.94%15380.00%11702318553.44%1693321952.59%685132651.66%1950131919416391080534
18Rockford31100001910-11000000145-12110000055030.50091827001019065614310239489815710628334215426.67%12191.67%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
19San Diego302001001014-41000010045-12020000069-310.1671018280010190656961023948981571063832597228.57%16287.50%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
20San Jose311010004402110000012-11000100032140.6674711011019065610210239489815712028226415213.33%10280.00%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
21Springfield32100000752211000003301100000042240.6677132001101906561211023948981579223326212216.67%8187.50%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
22Syracuse43000100181262200000010462100010088070.875183149001019065615810239489815712137386222627.27%17476.47%01702318553.44%1693321952.59%685132651.66%1950131919416391080534
23Texas3110000178-12010000125-31100000053230.5007132000101906561071023948981579430304919315.79%15380.00%11702318553.44%1693321952.59%685132651.66%1950131919416391080534
Total82382605100326124813411712036031301228412114024001311265990.60426147473505101906562993102394898157290081280614673696317.07%3325084.94%41702318553.44%1693321952.59%685132651.66%1950131919416391080534
_Since Last GM Reset82382605100326124813411712036031301228412114024001311265990.60426147473505101906562993102394898157290081280614673696317.07%3325084.94%41702318553.44%1693321952.59%685132651.66%1950131919416391080534
_Vs Conference4421140260114213210221060230179651422118003006367-4530.6021422543960210190656159510239489815715864364237722083717.79%1802486.67%11702318553.44%1693321952.59%685132651.66%1950131919416391080534
_Vs Division2095023016365-2103102301363331064000002732-5260.650631141770210190656734102394898157745196188352991717.17%841088.10%01702318553.44%1693321952.59%685132651.66%1950131919416391080534

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8299SOL126147473529932900812806146705
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
82382651003261248
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117123603130122
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4121142400131126
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3696317.07%3325084.94%4
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
10239489815710190656
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
1702318553.44%1693321952.59%685132651.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1950131919416391080534


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
312Wilkes-Barre/Scranton1Ontario3LSommaire du match
522San Jose2Wilkes-Barre/Scranton0LSommaire du match
734Wilkes-Barre/Scranton2Lehigh Valley4LSommaire du match
941Wilkes-Barre/Scranton1Grand Rapids2LSommaire du match
1047Syracuse2Wilkes-Barre/Scranton4WSommaire du match
1361Wilkes-Barre/Scranton3Cleveland0WSommaire du match
1469Bakersfield4Wilkes-Barre/Scranton3LXSommaire du match
1783Wilkes-Barre/Scranton3San Diego4LSommaire du match
1892Rochester3Wilkes-Barre/Scranton5WSommaire du match
21109Wilkes-Barre/Scranton2Ontario5LSommaire du match
23118Laval3Wilkes-Barre/Scranton1LSommaire du match
25131Wilkes-Barre/Scranton4Hartford3WSommaire du match
27136Wilkes-Barre/Scranton5Syracuse4WSommaire du match
28144Charlotte4Wilkes-Barre/Scranton1LSommaire du match
31159Wilkes-Barre/Scranton1Providence5LSommaire du match
33168Iowa0Wilkes-Barre/Scranton3WSommaire du match
36186Bridgeport3Wilkes-Barre/Scranton4WXSommaire du match
38198Wilkes-Barre/Scranton3Manitoba4LXSommaire du match
40211San Diego5Wilkes-Barre/Scranton4LXSommaire du match
42222Wilkes-Barre/Scranton3Hershey1WSommaire du match
44231Wilkes-Barre/Scranton1Grand Rapids2LXSommaire du match
45239Hartford2Wilkes-Barre/Scranton5WSommaire du match
49257Laval2Wilkes-Barre/Scranton1LSommaire du match
51273Wilkes-Barre/Scranton6Iowa3WSommaire du match
52280Wilkes-Barre/Scranton7Abbotsford3WSommaire du match
54287Rockford5Wilkes-Barre/Scranton4LXXSommaire du match
57306Ontario4Wilkes-Barre/Scranton2LSommaire du match
59320Wilkes-Barre/Scranton3Rockford1WSommaire du match
61329Bakersfield7Wilkes-Barre/Scranton5LSommaire du match
64345Wilkes-Barre/Scranton6Hartford5WSommaire du match
65355Bridgeport4Wilkes-Barre/Scranton1LSommaire du match
68371Grand Rapids3Wilkes-Barre/Scranton0LSommaire du match
70377Wilkes-Barre/Scranton2Eagles1WXSommaire du match
74398Wilkes-Barre/Scranton5Texas3WSommaire du match
75403Lehigh Valley3Wilkes-Barre/Scranton2LXSommaire du match
79420Lehigh Valley3Wilkes-Barre/Scranton2LXSommaire du match
82436Wilkes-Barre/Scranton3San Diego5LSommaire du match
85447Eagles3Wilkes-Barre/Scranton4WXSommaire du match
87457Wilkes-Barre/Scranton2Laval3LSommaire du match
89470Grand Rapids2Wilkes-Barre/Scranton6WSommaire du match
91483Wilkes-Barre/Scranton3Providence4LXSommaire du match
93494Wilkes-Barre/Scranton2Coachella Valley7LSommaire du match
94500Charlotte4Wilkes-Barre/Scranton3LSommaire du match
98519San Jose0Wilkes-Barre/Scranton1WSommaire du match
100535Wilkes-Barre/Scranton3Syracuse4LXSommaire du match
102539Wilkes-Barre/Scranton2Rockford4LSommaire du match
103547Iowa3Wilkes-Barre/Scranton4WSommaire du match
108568Cleveland5Wilkes-Barre/Scranton4LXSommaire du match
112588Abbotsford7Wilkes-Barre/Scranton6LXSommaire du match
114598Wilkes-Barre/Scranton4Laval1WSommaire du match
118611Texas3Wilkes-Barre/Scranton1LSommaire du match
121629Coachella Valley2Wilkes-Barre/Scranton4WSommaire du match
126651Hartford0Wilkes-Barre/Scranton4WSommaire du match
129661Wilkes-Barre/Scranton4Rochester2WSommaire du match
131676Texas2Wilkes-Barre/Scranton1LXXSommaire du match
133689Wilkes-Barre/Scranton3Eagles1WSommaire du match
134699Providence1Wilkes-Barre/Scranton4WSommaire du match
136710Wilkes-Barre/Scranton2Charlotte3LSommaire du match
138717Wilkes-Barre/Scranton4Ontario2WSommaire du match
140728Rochester3Wilkes-Barre/Scranton7WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
143741Wilkes-Barre/Scranton3San Jose2WXSommaire du match
144751Syracuse2Wilkes-Barre/Scranton6WSommaire du match
147766Wilkes-Barre/Scranton5Abbotsford2WSommaire du match
148775Coachella Valley3Wilkes-Barre/Scranton0LSommaire du match
151789Wilkes-Barre/Scranton4Springfield2WSommaire du match
153799Hershey4Wilkes-Barre/Scranton5WXSommaire du match
155810Wilkes-Barre/Scranton1Cleveland4LSommaire du match
157821Providence3Wilkes-Barre/Scranton5WSommaire du match
159833Wilkes-Barre/Scranton5Rochester3WSommaire du match
161843Wilkes-Barre/Scranton5Bakersfield4WSommaire du match
163852Cleveland3Wilkes-Barre/Scranton4WSommaire du match
166867Wilkes-Barre/Scranton5Bakersfield3WSommaire du match
167875Manitoba3Wilkes-Barre/Scranton4WSommaire du match
170889Wilkes-Barre/Scranton4Lehigh Valley3WSommaire du match
171891Wilkes-Barre/Scranton1Hershey5LSommaire du match
174904Springfield0Wilkes-Barre/Scranton1WSommaire du match
176917Wilkes-Barre/Scranton5Charlotte2WSommaire du match
178927Manitoba1Wilkes-Barre/Scranton2WSommaire du match
183947Springfield3Wilkes-Barre/Scranton2LSommaire du match
184953Wilkes-Barre/Scranton0Bridgeport5LSommaire du match
187967Wilkes-Barre/Scranton3Bridgeport2WSommaire du match
192978Hershey6Wilkes-Barre/Scranton5LXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4324
Assistance78,48039,329
Assistance PCT95.71%95.92%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2873 - 95.78% 142,575$5,845,584$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,302,050$ 1,313,000$ 1,313,000$ 3,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
6,768$ 1,302,034$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 22,232$ 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

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

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

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