Connexion

Wilkes-Barre/Scranton Penguins
GP: 24 | W: 19 | L: 3 | OTL: 2 | P: 40
GF: 97 | GA: 21 | PP%: 16.13% | PK%: 93.65%
DG: Gilles Piette | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #398 vs Calgary Wranglers
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Wilkes-Barre/Scranton Penguins
19-3-2, 40pts
0
FINAL
1 Rochester Americans
24-0-1, 49pts
Team Stats
W1SéquenceW2
11-0-1Fiche domicile11-0-1
8-3-1Fiche domicile13-0-0
7-1-2Derniers 10 matchs9-0-1
4.04Buts par match 3.56
0.88Buts contre par match 0.64
16.13%Pourcentage en avantage numérique18.82%
93.65%Pourcentage en désavantage numérique93.22%
Ontario Reign
19-3-2, 40pts
0
FINAL
1 Wilkes-Barre/Scranton Penguins
19-3-2, 40pts
Team Stats
SOL1SéquenceW1
11-0-2Fiche domicile11-0-1
8-3-0Fiche domicile8-3-1
6-2-2Derniers 10 matchs7-1-2
3.17Buts par match 4.04
1.13Buts contre par match 0.88
13.21%Pourcentage en avantage numérique16.13%
97.83%Pourcentage en désavantage numérique93.65%
Calgary Wranglers
3-18-2, 8pts
Jour 59
Wilkes-Barre/Scranton Penguins
19-3-2, 40pts
Statistiques d’équipe
L6SéquenceW1
1-12-0Fiche domicile11-0-1
2-6-2Fiche visiteur8-3-1
2-8-010 derniers matchs7-1-2
2.00Buts par match 4.04
4.04Buts contre par match 4.04
3.70%Pourcentage en avantage numérique16.13%
64.71%Pourcentage en désavantage numérique93.65%
Wilkes-Barre/Scranton Penguins
19-3-2, 40pts
Jour 61
Texas Stars
19-4-2, 40pts
Statistiques d’équipe
W1SéquenceL1
11-0-1Fiche domicile10-1-1
8-3-1Fiche visiteur9-3-1
7-1-210 derniers matchs7-2-1
4.04Buts par match 3.32
0.88Buts contre par match 3.32
16.13%Pourcentage en avantage numérique14.58%
93.65%Pourcentage en désavantage numérique94.74%
Charlotte Checkers
13-10-2, 28pts
Jour 63
Wilkes-Barre/Scranton Penguins
19-3-2, 40pts
Statistiques d’équipe
L2SéquenceW1
6-6-0Fiche domicile11-0-1
7-4-2Fiche visiteur8-3-1
4-5-110 derniers matchs7-1-2
2.40Buts par match 4.04
2.20Buts contre par match 4.04
14.63%Pourcentage en avantage numérique16.13%
88.57%Pourcentage en désavantage numérique93.65%
Meneurs d'équipe
Buts
Brandon Gignac
19
Passes
Maxence Guenette
22
Points
Brandon Gignac
34
Plus/Moins
Brandon Gignac
31
Victoires
Eetu Makiniemi
18
Pourcentage d’arrêts
Eetu Makiniemi
0.945

Statistiques d’équipe
Buts pour
97
4.04 GFG
Tirs pour
817
34.04 Avg
Pourcentage en avantage numérique
16.1%
10 GF
Début de zone offensive
48.5%
Buts contre
21
0.88 GAA
Tirs contre
330
13.75 Avg
Pourcentage en désavantage numérique
93.7%%
4 GA
Début de la zone défensive
27.9%
Informations de l'équipe

Directeur généralGilles Piette
DivisionATLANTIC
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,838
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure19
Limite contact 40 / 250
Espoirs59


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
1Brett SeneyX100.00693773656184866668646360656870425000281700,000$
2Adam GaudetteXX100.00755174647689856366606465617069454700273800,000$
3Max JonesX100.00785373658780836357646263656869774800262775,000$
4Brandon Gignac (R)X100.00613784656784826472636166626774555000262775,000$
5Justin RichardsX100.00683878637077825764625561576668425000261925,000$
6Michal TeplyX100.00723895598179835760585654596365615000232775,000$
7Adam BeckmanX100.00673886647787836358606261606465675000232832,500$
8Mathias LaferriereX100.00693889587875825761595660586466485000242775,000$
9Patrick Giles (R)X100.00784087568777865452555758566466435000241800,000$
10Walker Duehr (R)X100.00733887668275806361656264666869374900263825,000$
11Ilya Usau (R)X100.00653888597472785862565754556365455000231842,500$
12Matthew Maggio (R)X100.00603889616980715964605755586264565000212870,000$
13Parker Ford (R)X100.00583975576685745853596156606466435000242867,500$
14Maxence GuenetteX100.00653790627481865930615860496365495000231805,000$
Rayé
1Travis Barron (R)X100.00694463577872825458555659546668475000252800,000$
2Samuel AsselinX100.00563875586577825761565452556668425000262800,000$
3Ethan Keppen (R)X100.00403540523580904020404040306264115000231700,000$
4Greg Meireles (R)X100.00573690586670805754565553586567475000252700,000$
5Antti Saarela (R)X100.00603793566967645358545552576365585000232867,500$
MOYENNE D’ÉQUIPE100.0065398060727881585758575857656748500
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
1Hunter Miska100.0040908050404040404040402525115000291700,000$
2Eetu Makiniemi100.0064957577656060606050736573595000254775,000$
Rayé
MOYENNE D’ÉQUIPE100.005293786453505050504557454935500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Brandon GignacWilkes-Barre/Scranton Penguins (PIT)C2219153431201643113256816.81%446621.2312311470000264081.23%34100021.4601000622
2Brett SeneyWilkes-Barre/Scranton Penguins (PIT)LW24131629281204322111347511.71%949020.431348510004192066.67%2700011.1801000440
3Adam BeckmanWilkes-Barre/Scranton Penguins (PIT)LW24916252860301869194213.04%649920.801121544000040085.71%700001.0000000231
4Maxence GuenetteWilkes-Barre/Scranton Penguins (PIT)D2402222301203010255150%1554822.86022446000030000%000000.8000000023
5Adam GaudetteWilkes-Barre/Scranton Penguins (PIT)C/RW2241620224049245120337.84%949222.380446450111413065.24%21000000.8102000111
6Walker DuehrWilkes-Barre/Scranton Penguins (PIT)RW221192017120343486257612.79%551323.351126430005513075.81%12400000.7802000212
7Matthew MaggioWilkes-Barre/Scranton Penguins (PIT)RW2291019202015164993618.37%329013.2100001000011064.71%1700001.3100000203
8Mathias LaferriereWilkes-Barre/Scranton Penguins (PIT)RW227101729202295482712.96%140418.383141749000002075.00%2400000.8400000004
9Max JonesWilkes-Barre/Scranton Penguins (PIT)LW21412161920042132632815.38%1747322.561234441012462064.29%1400000.6802000021
10Justin RichardsWilkes-Barre/Scranton Penguins (PIT)C24214162210031144116204.88%949320.58145945000000073.87%11100000.6500000001
11Nikolai KnyzhovPittsburgh PenguinsD152911142353291841011.11%933722.49000334000117000%000000.6500100010
12Parker FordWilkes-Barre/Scranton Penguins (PIT)RW2264101560132046163413.04%435216.03101290001260069.44%3600000.5700000010
13Michal TeplyWilkes-Barre/Scranton Penguins (PIT)RW242578201682913166.90%028311.8200013000000061.11%3600000.4900000000
14Ilya UsauWilkes-Barre/Scranton Penguins (PIT)C162571420811297126.90%318411.5500000000010071.54%13000000.7600000001
15Patrick GilesWilkes-Barre/Scranton Penguins (PIT)RW22336101803216315179.68%129013.2000006000000078.88%16100000.4100000000
16Samuel AsselinWilkes-Barre/Scranton Penguins (PIT)C22243001184125.00%02010.0500000000001066.67%2400003.9800000010
17Travis BarronWilkes-Barre/Scranton Penguins (PIT)LW312340020104510.00%03612.2300000000001050.00%200001.6400000001
18Ethan KeppenWilkes-Barre/Scranton Penguins (PIT)LW2011100117260%1199.900000000000000%000001.0100000000
Statistiques d’équipe totales ou en moyenne33396171267315133541726980321952111.96%96619918.62102030864741121426619074.05%126400030.8608100171820
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
1Eetu MakiniemiWilkes-Barre/Scranton Penguins (PIT)2218220.9450.681329411152740000.7147220021
Statistiques d’équipe totales ou en moyenne2218220.9450.681329411152740007220021


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
Adam BeckmanWilkes-Barre/Scranton Penguins (PIT)LW232001-05-10CANNo182 Lbs6 ft2NoNoN/ANoNo22024-05-19FalseFalsePro & Farm832,500$583,608$0$0$No832,500$--------832,500$--------No--------Lien
Adam GaudetteWilkes-Barre/Scranton Penguins (PIT)C/RW271996-10-03USANo194 Lbs6 ft1NoNoN/ANoNo32024-08-21FalseFalsePro & Farm800,000$560,825$0$0$No800,000$800,000$-------600,000$600,000$-------NoNo-------Lien
Antti SaarelaWilkes-Barre/Scranton Penguins (PIT)C232001-06-27FINYes183 Lbs5 ft11NoNoAssign ManuallyNoNo22024-08-18FalseFalsePro & Farm867,500$608,144$0$0$No867,500$--------600,000$--------No--------Lien
Brandon GignacWilkes-Barre/Scranton Penguins (PIT)C261997-11-07CANYes170 Lbs5 ft11NoNoN/ANoNo22024-08-21FalseFalsePro & Farm775,000$543,299$0$0$No775,000$--------600,000$--------No--------Lien
Brett SeneyWilkes-Barre/Scranton Penguins (PIT)LW281996-02-28CANNo156 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Lien
Eetu MakiniemiWilkes-Barre/Scranton Penguins (PIT)G251999-04-19FINNo184 Lbs6 ft2NoNoTrade2024-06-07NoNo42024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien
Ethan KeppenWilkes-Barre/Scranton Penguins (PIT)LW232001-03-20CANYes212 Lbs6 ft2NoNoN/ANoNo12024-05-19FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Lien
Greg MeirelesWilkes-Barre/Scranton Penguins (PIT)RW251999-01-01CANYes180 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm700,000$490,722$0$0$No700,000$--------600,000$--------No--------Lien
Hunter MiskaWilkes-Barre/Scranton Penguins (PIT)G291995-07-07USANo175 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$490,722$0$0$No---------------------------Lien
Ilya UsauWilkes-Barre/Scranton Penguins (PIT)C232001-08-03BLRYes183 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm842,500$590,619$0$0$No---------------------------Lien
Justin RichardsWilkes-Barre/Scranton Penguins (PIT)C261998-03-17USANo190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$648,454$0$0$No---------------------------Lien
Mathias LaferriereWilkes-Barre/Scranton Penguins (PIT)RW242000-06-27CANNo188 Lbs6 ft2NoNoN/ANoNo22024-08-21FalseFalsePro & Farm775,000$543,299$0$0$No775,000$--------600,000$--------No--------Lien
Matthew MaggioWilkes-Barre/Scranton Penguins (PIT)RW212002-11-25CANYes185 Lbs5 ft11NoNoAssign ManuallyNoNo22024-08-18FalseFalsePro & Farm870,000$609,897$0$0$No870,000$--------600,000$--------No--------Lien
Max JonesWilkes-Barre/Scranton Penguins (PIT)LW261998-02-17USANo216 Lbs6 ft3NoNoTrade2024-02-19NoNo22024-08-21FalseFalsePro & Farm775,000$543,299$0$0$No775,000$--------600,000$--------No--------Lien
Maxence GuenetteWilkes-Barre/Scranton Penguins (PIT)D232001-04-28CANNo181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm805,000$564,330$0$0$No---------------------------Lien
Michal TeplyWilkes-Barre/Scranton Penguins (PIT)RW232001-05-27CZENo187 Lbs6 ft3NoNoN/ANoNo22024-05-19FalseFalsePro & Farm775,000$543,299$0$0$No775,000$--------775,000$--------No--------Lien
Parker FordWilkes-Barre/Scranton Penguins (PIT)RW242000-07-20USAYes181 Lbs5 ft9NoNoAssign ManuallyNoNo22024-08-18FalseFalsePro & Farm867,500$608,144$0$0$No867,500$--------600,000$--------No--------Lien
Patrick GilesWilkes-Barre/Scranton Penguins (PIT)RW242000-01-03USAYes203 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm800,000$560,825$0$0$No---------------------------Lien
Samuel AsselinWilkes-Barre/Scranton Penguins (PIT)C261998-07-01CANNo180 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm800,000$560,825$0$0$No800,000$--------600,000$--------No--------Lien
Travis BarronWilkes-Barre/Scranton Penguins (PIT)LW251998-11-17CANYes205 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$560,825$0$0$No800,000$--------702,020$--------No--------Lien
Walker DuehrWilkes-Barre/Scranton Penguins (PIT)RW261997-11-23USAYes210 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm825,000$578,351$0$0$No825,000$825,000$-------600,000$600,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2124.76188 Lbs6 ft01.86795,714$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesAdam GaudetteWalker Duehr38122
2Brett SeneyBrandon GignacMathias Laferriere30122
3Adam BeckmanJustin RichardsParker Ford22122
4Walker DuehrMatthew Maggio10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxence Guenette38122
2Adam BeckmanJustin Richards30122
3Maxence Guenette22122
4Max JonesAdam Gaudette10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesAdam GaudetteWalker Duehr60122
2Brett SeneyBrandon GignacMathias Laferriere40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxence Guenette60122
2Adam BeckmanJustin Richards40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Walker DuehrMax Jones60122
2Adam GaudetteBrandon Gignac40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxence Guenette60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Walker Duehr60122Maxence Guenette60122
2Max Jones4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Walker DuehrMax Jones60122
2Adam GaudetteBrandon Gignac40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxence Guenette60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesAdam GaudetteWalker DuehrMaxence Guenette
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesAdam GaudetteWalker DuehrMaxence Guenette
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Patrick Giles, Michal Teply, Parker FordPatrick Giles, Michal TeplyParker Ford
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Maxence Guenette, Maxence Guenette,
Tirs de pénalité
Walker Duehr, Max Jones, Adam Gaudette, Brandon Gignac, Brett Seney
Gardien
#1 : Eetu Makiniemi, #2 : Hunter Miska


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
1Bakersfield Condors11000000404110000004040000000000021.00048120135441803825930525011502173133.33%10100.00%050666276.44%25038065.79%22132268.63%884716323104242149
2Bridgeport Islanders2200000013112110000007071100000061541.00013253801354418096259305250112055337228.57%000%050666276.44%25038065.79%22132268.63%884716323104242149
3Chicago Wolves11000000422000000000001100000042221.000481200354418024259305250112191019100.00%40100.00%050666276.44%25038065.79%22132268.63%884716323104242149
4Coachella Valley Firebirds1000000123-1000000000001000000123-110.5002460035441802225930525011114817500.00%40100.00%050666276.44%25038065.79%22132268.63%884716323104242149
5Grand Rapids Griffins11000000716110000007160000000000021.000712190035441802125930525011259819000%4175.00%050666276.44%25038065.79%22132268.63%884716323104242149
6Hartford Wolf Pack330000001721533000000172150000000000061.0001731480135441801342593052501129111442400.00%70100.00%050666276.44%25038065.79%22132268.63%884716323104242149
7Hershey Bears22000000716110000005141100000020241.00071320013544180862593052501120816413266.67%70100.00%050666276.44%25038065.79%22132268.63%884716323104242149
8LeHigh Valley Phantoms11000000514000000000001100000051421.0005914003544180302593052501192819200.00%40100.00%050666276.44%25038065.79%22132268.63%884716323104242149
9Manitoba Moose440000001901933000000160161100000030381.00019325104354418015125930525011311116797114.29%80100.00%150666276.44%25038065.79%22132268.63%884716323104242149
10Milwaukee Admirals11000000707000000000001100000070721.0007132001354418042259305250111644262150.00%20100.00%050666276.44%25038065.79%22132268.63%884716323104242149
11Ontario Reign11000000101110000001010000000000021.0001120135441803825930525011173621200.00%30100.00%050666276.44%25038065.79%22132268.63%884716323104242149
12Rochester Americans1010000001-1000000000001010000001-100.0000000035441801425930525011102414000%20100.00%050666276.44%25038065.79%22132268.63%884716323104242149
13San Jose Barracuda1000000112-11000000112-10000000000010.50012300354418016259305250111984166116.67%20100.00%050666276.44%25038065.79%22132268.63%884716323104242149
14Syracuse Crunch11000000725000000000001100000072521.0007121900354418041259305250111546195240.00%30100.00%050666276.44%25038065.79%22132268.63%884716323104242149
15Utica Comets3120000035-2000000000003120000035-220.3333580135441806425930525011822428441500.00%12375.00%050666276.44%25038065.79%22132268.63%884716323104242149
Total2419300002972176121100000158652128300001391524400.83397175272011354418081725930525011330104139426621016.13%63493.65%150666276.44%25038065.79%22132268.63%884716323104242149
_Since Last GM Reset2419300002972176121100000158652128300001391524400.83397175272011354418081725930525011330104139426621016.13%63493.65%150666276.44%25038065.79%22132268.63%884716323104242149
_Vs Conference18153000007515608800000045342107300000301218300.83375135210083544180640259305250112377610731044715.91%47393.62%150666276.44%25038065.79%22132268.63%884716323104242149
_Vs Division37200000144101400000071623200000734142.3331424380035441807625930525011501518525240.00%9188.89%050666276.44%25038065.79%22132268.63%884716323104242149

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2440W197175272817330104139426011
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2419300029721
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
121100001586
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
128300013915
Derniers 10 matchs
WLOTWOTL SOWSOL
710002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
621016.13%63493.65%1
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
259305250113544180
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
50666276.44%25038065.79%22132268.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
884716323104242149


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
12Wilkes-Barre/Scranton Penguins2Utica Comets3LSommaire du match
622Hartford Wolf Pack1Wilkes-Barre/Scranton Penguins5WSommaire du match
839Manitoba Moose0Wilkes-Barre/Scranton Penguins6WSommaire du match
1055Wilkes-Barre/Scranton Penguins6Bridgeport Islanders1WSommaire du match
1156Wilkes-Barre/Scranton Penguins3Manitoba Moose0WSommaire du match
1482Hartford Wolf Pack0Wilkes-Barre/Scranton Penguins6WSommaire du match
1590Wilkes-Barre/Scranton Penguins0Utica Comets2LSommaire du match
18113Hershey Bears1Wilkes-Barre/Scranton Penguins5WSommaire du match
20122Wilkes-Barre/Scranton Penguins5LeHigh Valley Phantoms1WSommaire du match
22135Wilkes-Barre/Scranton Penguins2Hershey Bears0WSommaire du match
24153Bridgeport Islanders0Wilkes-Barre/Scranton Penguins7WSommaire du match
27173Wilkes-Barre/Scranton Penguins4Chicago Wolves2WSommaire du match
28183Manitoba Moose0Wilkes-Barre/Scranton Penguins4WSommaire du match
30201Wilkes-Barre/Scranton Penguins1Utica Comets0WSommaire du match
32221Hartford Wolf Pack1Wilkes-Barre/Scranton Penguins6WSommaire du match
36240Wilkes-Barre/Scranton Penguins2Coachella Valley Firebirds3LXXSommaire du match
37250Bakersfield Condors0Wilkes-Barre/Scranton Penguins4WSommaire du match
40271San Jose Barracuda2Wilkes-Barre/Scranton Penguins1LXXSommaire du match
42291Wilkes-Barre/Scranton Penguins7Syracuse Crunch2WSommaire du match
43299Wilkes-Barre/Scranton Penguins7Milwaukee Admirals0WSommaire du match
45313Grand Rapids Griffins1Wilkes-Barre/Scranton Penguins7WSommaire du match
47336Manitoba Moose0Wilkes-Barre/Scranton Penguins6WSommaire du match
50349Wilkes-Barre/Scranton Penguins0Rochester Americans1LSommaire du match
54370Ontario Reign0Wilkes-Barre/Scranton Penguins1WSommaire du match
59398Calgary Wranglers-Wilkes-Barre/Scranton Penguins-
61414Wilkes-Barre/Scranton Penguins-Texas Stars-
63426Charlotte Checkers-Wilkes-Barre/Scranton Penguins-
65443Wilkes-Barre/Scranton Penguins-Abbotsford Canucks-
68461Toronto Marlies-Wilkes-Barre/Scranton Penguins-
72487Providence Bruins-Wilkes-Barre/Scranton Penguins-
74501Wilkes-Barre/Scranton Penguins-Belleville Senators-
77519Syracuse Crunch-Wilkes-Barre/Scranton Penguins-
80537Wilkes-Barre/Scranton Penguins-Bakersfield Condors-
86552LeHigh Valley Phantoms-Wilkes-Barre/Scranton Penguins-
88569Wilkes-Barre/Scranton Penguins-San Diego Gulls-
89581Hartford Wolf Pack-Wilkes-Barre/Scranton Penguins-
92600Wilkes-Barre/Scranton Penguins-Providence Bruins-
94613Syracuse Crunch-Wilkes-Barre/Scranton Penguins-
95626Wilkes-Barre/Scranton Penguins-Chicago Wolves-
98640Wilkes-Barre/Scranton Penguins-Colorado Eagles-
99655Chicago Wolves-Wilkes-Barre/Scranton Penguins-
102673Wilkes-Barre/Scranton Penguins-LeHigh Valley Phantoms-
103687Bridgeport Islanders-Wilkes-Barre/Scranton Penguins-
105705Wilkes-Barre/Scranton Penguins-Utica Comets-
107717Tucson Roadrunners-Wilkes-Barre/Scranton Penguins-
109738Belleville Senators-Wilkes-Barre/Scranton Penguins-
112754Wilkes-Barre/Scranton Penguins-Bridgeport Islanders-
114771Wilkes-Barre/Scranton Penguins-Springfield Thunderbirds-
116781Hershey Bears-Wilkes-Barre/Scranton Penguins-
118800Wilkes-Barre/Scranton Penguins-Rochester Americans-
119807Wilkes-Barre/Scranton Penguins-Hershey Bears-
121817LeHigh Valley Phantoms-Wilkes-Barre/Scranton Penguins-
125838Wilkes-Barre/Scranton Penguins-Laval Rocket-
127853Rockford IceHogs-Wilkes-Barre/Scranton Penguins-
129870Wilkes-Barre/Scranton Penguins-Hartford Wolf Pack-
143883Henderson Silver Knights-Wilkes-Barre/Scranton Penguins-
145898Wilkes-Barre/Scranton Penguins-Manitoba Moose-
147911Wilkes-Barre/Scranton Penguins-Toronto Marlies-
149922Utica Comets-Wilkes-Barre/Scranton Penguins-
150939Wilkes-Barre/Scranton Penguins-Hartford Wolf Pack-
152952Iowa Wild-Wilkes-Barre/Scranton Penguins-
157980Utica Comets-Wilkes-Barre/Scranton Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159995Wilkes-Barre/Scranton Penguins-Manitoba Moose-
1631009Tucson Roadrunners-Wilkes-Barre/Scranton Penguins-
1671020Wilkes-Barre/Scranton Penguins-Hershey Bears-
1711043Wilkes-Barre/Scranton Penguins-San Jose Barracuda-
1721052Rochester Americans-Wilkes-Barre/Scranton Penguins-
1751074Rochester Americans-Wilkes-Barre/Scranton Penguins-
1771079Wilkes-Barre/Scranton Penguins-Charlotte Checkers-
1821105Cleveland Monsters-Wilkes-Barre/Scranton Penguins-
1871127Laval Rocket-Wilkes-Barre/Scranton Penguins-
1921145Wilkes-Barre/Scranton Penguins-Charlotte Checkers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance22,41011,646
Assistance PCT93.38%97.05%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 2838 - 94.60% 94,306$1,131,667$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
517,637$ 1,671,000$ 1,379,154$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,613$ 517,637$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,263,334$ 136 8,613$ 1,171,368$




Wilkes-Barre/Scranton Penguins 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 Penguins 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 Penguins 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 Penguins 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 Penguins 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