Connexion

Penguins
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: radapex | Morale : 40 | Moyenne d’équipe : 59
Prochain matchs #11 vs Roadrunners
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Roadrunners
0-0-0, 0pts
2022-09-15
Penguins
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Crunch
0-0-0, 0pts
2022-09-17
Penguins
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Penguins
0-0-0, 0pts
2022-09-19
Rocket
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
0.00 GFG
Tirs pour
0
0.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
0.0%
Buts contre
0
0.00 GAA
Tirs contre
0
0.00 Avg
Pourcentage en désavantage numérique
0.0%
0 GA
Début de la zone défensive
0.0%
Information d’équipe

Directeur généralradapex
EntraîneurJohn Stevens
DivisionMetropolitan Division
ConférenceEastern Conference
CapitaineMadison Bowey
Assistant #1Nick Cousins
Assistant #2Luke Kunin


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Information formation

Équipe Pro25
Équipe Mineure18
Limite contact 43 / 90
Espoirs31


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique90-62-14 (0.542%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)2-8
Stanley Cup0


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
1Luke Kunin (A)11X100.009659816583828260656365656357690406402412,500,000$
2Kaapo Kakko24X100.005146896586866764496965647257650406202112,700,000$
3Nick Cousins (A)25X100.007048976581807360576663636263710406202921,000,000$
4Jack Quinn (R)22X100.00504676658060437340737160665362040610213850,000$
5Jujhar Khaira54X100.009953895988825555785862676156690406102831,250,000$
6Daniel Sprong91X100.005943896582807159466368627653630406102511,500,000$
7Yegor Afanasyev (R)70X100.00505275528760525740645962605262040560213850,000$
8Kevin Stenlund82X100.00594876538860425867656058605464040560261800,000$
9Nick Pastujov (R)36XXX100.00505175528460405360615962605262040550241750,000$
10Kole Sherwood77X100.00984875528660425240615855595467040550251800,000$
11Akil Thomas (R)86XXX100.00504475577860185540606062605262040540222925,000$
12Nicholas Caamano10X100.00504575538560255440615962605262040540241800,000$
13Jordie Benn8X100.007644866184765568206659726063730406403512,000,000$
14Kyle Burroughs44X100.009753826182735369206359736051640406402721,000,000$
15Tucker Poolman5X100.006445995884805963206158775955650406302911,250,000$
16Madison Bowey (C)4X100.00904676568560477120656366626273040620271750,000$
17Scott Harrington93X100.007351765285604865206059686065720406002911,000,000$
18Isaak Phillips (R)41X100.00614376558360536720636366625262040590213850,000$
Rayé
1Dillon Hamaliuk (R)85X100.00505075528560225240615662585161040530213850,000$
2Timur Ibragimov (R)67XXX100.00504175547960105040595562585161040520213850,000$
3Dillon Simpson18X100.00504375548360456620626068606070040580291750,000$
4Brandon Davidson88X100.00506275508660106620635768596168040560311800,000$
5Drew Helleson (R)40X100.00504475528360106420615668585161040550213850,000$
MOYENNE D’ÉQUIPE100.0065488057846744613863616562566604059
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 SP
1Lukas Dostal (R)100.0069757285737371747471726667040710
2Arvid Soderblom (R)100.0064706786686866696865676867040670
Rayé
MOYENNE D’ÉQUIPE100.006773708671716972716870676704069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Stevens75757575757575CAN558500,000$


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
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Akil ThomasPenguins (PIT)C/LW/RW221/2/2000Yes177 Lbs5 ft11NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Arvid SoderblomPenguins (PIT)G237/1/1999Yes179 Lbs6 ft3NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Brandon DavidsonPenguins (PIT)D318/21/1991No209 Lbs6 ft2NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
Daniel Sprong (contrat à 1 volet)Penguins (PIT)RW253/17/1997No193 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$1,484,127$1,500,000$1,484,127$375,000$371,032$NoLien
Dillon HamaliukPenguins (PIT)LW2110/30/2000Yes200 Lbs6 ft3NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Dillon SimpsonPenguins (PIT)D292/10/1993No192 Lbs6 ft2NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Drew HellesonPenguins (PIT)D213/26/2001Yes195 Lbs6 ft2NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Isaak PhillipsPenguins (PIT)D219/28/2001Yes193 Lbs6 ft3NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Jack QuinnPenguins (PIT)RW219/19/2001Yes185 Lbs6 ft0NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Jordie Benn (contrat à 1 volet)Penguins (PIT)D357/26/1987No196 Lbs6 ft2NoNoNo1Pro & Farm2,000,000$1,978,836$2,000,000$1,978,836$875,000$865,741$NoLien
Jujhar Khaira (contrat à 1 volet)Penguins (PIT)LW288/13/1994No212 Lbs6 ft4YesNoNo3Pro & Farm1,250,000$1,236,772$1,250,000$1,236,772$125,000$123,677$No1,250,000$1,250,000$Lien
Kaapo KakkoPenguins (PIT)RW212/13/2001No205 Lbs6 ft3NoNoNo1Pro & Farm2,700,000$2,671,429$2,700,000$2,671,429$0$0$NoLien
Kevin StenlundPenguins (PIT)C269/20/1996No211 Lbs6 ft4NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
Kole SherwoodPenguins (PIT)RW251/22/1997No212 Lbs6 ft1NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
Kyle BurroughsPenguins (PIT)D277/12/1995No193 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$No1,000,000$Lien
Lukas DostalPenguins (PIT)G226/22/2000Yes174 Lbs6 ft2NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Luke Kunin (contrat à 1 volet)Penguins (PIT)C2412/4/1997No197 Lbs6 ft0NoNoNo1Pro & Farm2,500,000$2,473,545$2,500,000$2,473,545$1,375,000$1,360,450$NoLien
Madison BoweyPenguins (PIT)D274/22/1995No202 Lbs6 ft2NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Nicholas CaamanoPenguins (PIT)RW249/7/1998No200 Lbs6 ft3NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
Nick CousinsPenguins (PIT)C297/20/1993No192 Lbs5 ft11NoNoNo2Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$No1,000,000$Lien
Nick PastujovPenguins (PIT)C/LW/RW241/21/1998Yes205 Lbs6 ft0NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Scott HarringtonPenguins (PIT)D293/10/1993No204 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Timur IbragimovPenguins (PIT)C/LW/RW2110/12/2000Yes182 Lbs6 ft0NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Tucker Poolman (contrat à 1 volet)Penguins (PIT)D296/8/1993No199 Lbs6 ft2NoNoNo1Pro & Farm1,250,000$1,236,772$1,250,000$1,236,772$125,000$123,677$NoLien
Yegor AfanasyevPenguins (PIT)LW211/23/2001Yes208 Lbs6 ft4NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.04197 Lbs6 ft21.761,101,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kaapo KakkoLuke KuninJack Quinn33122
2Jujhar KhairaNick CousinsDaniel Sprong30122
3Yegor AfanasyevKevin StenlundKole Sherwood25122
4Nicholas CaamanoNick PastujovAkil Thomas12122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordie BennKyle Burroughs40122
2Tucker PoolmanMadison Bowey33122
3Isaak PhillipsScott Harrington27122
4Jordie BennKyle Burroughs0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kaapo KakkoLuke KuninJack Quinn60122
2Jujhar KhairaNick CousinsDaniel Sprong40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordie BennMadison Bowey60122
2Kyle BurroughsIsaak Phillips40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nick PastujovYegor Afanasyev50122
2Kevin StenlundAkil Thomas50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanKyle Burroughs50122
2Jordie BennScott Harrington50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nick Pastujov50122Tucker PoolmanKyle Burroughs50122
2Kevin Stenlund50122Jordie BennScott Harrington50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Luke KuninJack Quinn50122
2Nick CousinsKaapo Kakko50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordie BennKyle Burroughs50122
2Tucker PoolmanMadison Bowey50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kaapo KakkoLuke KuninJack QuinnIsaak PhillipsMadison Bowey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jujhar KhairaLuke KuninKaapo KakkoTucker PoolmanKyle Burroughs
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Quinn, Luke Kunin, Kaapo KakkoKevin Stenlund, Akil ThomasJujhar Khaira
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Burroughs, Jordie Benn, Tucker PoolmanScott HarringtonMadison Bowey, Isaak Phillips
Tirs de pénalité
Daniel Sprong, Kaapo Kakko, Jack Quinn, Luke Kunin, Madison Bowey
Gardien
#1 : Lukas Dostal, #2 : Arvid Soderblom
Lignes d’attaque personnalisées en prolongation
Jack Quinn, Luke Kunin, Kaapo Kakko, Nick Cousins, Daniel Sprong, Jujhar Khaira, Jujhar Khaira, Akil Thomas, Kevin Stenlund, Nicholas Caamano, Yegor Afanasyev
Lignes de défense personnalisées en prolongation
Kyle Burroughs, Jordie Benn, Tucker Poolman, Madison Bowey, Isaak Phillips


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
7 - 2022-09-1511Roadrunners-Penguins-
9 - 2022-09-1731Crunch-Penguins-
11 - 2022-09-1942Penguins-Rocket-
14 - 2022-09-2262Reign-Penguins-
16 - 2022-09-2482Penguins-Monsters-
18 - 2022-09-2694Penguins-Condors-
19 - 2022-09-27104Penguins-Heat-
22 - 2022-09-30125Penguins-Canucks-
23 - 2022-10-01137Penguins-Firebirds-
26 - 2022-10-04147Bruins-Penguins-
27 - 2022-10-05160Penguins-Americans-
30 - 2022-10-08184Firebirds-Penguins-
34 - 2022-10-12208Penguins-Bears-
36 - 2022-10-14221Penguins-Marlies-
37 - 2022-10-15229Penguins-Rocket-
40 - 2022-10-18251Marlies-Penguins-
42 - 2022-10-20268Penguins-Wild-
44 - 2022-10-22276Penguins-Moose-
45 - 2022-10-23290Penguins-IceHogs-
48 - 2022-10-26306Heat-Penguins-
50 - 2022-10-28324Penguins-Phantoms-
51 - 2022-10-29335Marlies-Penguins-
54 - 2022-11-01352Wolves-Penguins-
56 - 2022-11-03368Silver Knights-Penguins-
58 - 2022-11-05384Thunderbirds-Penguins-
61 - 2022-11-08404Monsters-Penguins-
64 - 2022-11-11426Penguins-Americans-
65 - 2022-11-12437Americans-Penguins-
67 - 2022-11-14449Stars-Penguins-
70 - 2022-11-17474Penguins-Checkers-
73 - 2022-11-20498Penguins-Wolves-
75 - 2022-11-22511Wolf Pack-Penguins-
77 - 2022-11-24526Wolves-Penguins-
82 - 2022-11-29550Penguins-Islanders-
83 - 2022-11-30560Griffins-Penguins-
85 - 2022-12-02576Comets-Penguins-
88 - 2022-12-05595Penguins-Bruins-
91 - 2022-12-08620Penguins-Silver Knights-
94 - 2022-12-11640Penguins-Roadrunners-
96 - 2022-12-13652Canucks-Penguins-
99 - 2022-12-16674Moose-Penguins-
100 - 2022-12-17682Penguins-Wolves-
102 - 2022-12-19700Gulls-Penguins-
104 - 2022-12-21712Penguins-Senators-
106 - 2022-12-23730Senators-Penguins-
108 - 2022-12-25746Penguins-Comets-
110 - 2022-12-27756Checkers-Penguins-
112 - 2022-12-29773Penguins-Bears-
114 - 2022-12-31793Barracuda-Penguins-
124 - 2023-01-10813Eagles-Penguins-
127 - 2023-01-13831Penguins-Gulls-
128 - 2023-01-14845Penguins-Reign-
131 - 2023-01-17863Penguins-Barracuda-
134 - 2023-01-20879Penguins-Islanders-
135 - 2023-01-21886Comets-Penguins-
137 - 2023-01-23906Islanders-Penguins-
140 - 2023-01-26922Condors-Penguins-
142 - 2023-01-28943Penguins-Thunderbirds-
143 - 2023-01-29951Crunch-Penguins-
145 - 2023-01-31963Penguins-Admirals-
147 - 2023-02-02977Penguins-Crunch-
149 - 2023-02-04993Penguins-Checkers-
152 - 2023-02-071013Monsters-Penguins-
154 - 2023-02-091027Islanders-Penguins-
156 - 2023-02-111039Phantoms-Penguins-
157 - 2023-02-121054Wolf Pack-Penguins-
159 - 2023-02-141064Rocket-Penguins-
161 - 2023-02-161082Penguins-Wolf Pack-
163 - 2023-02-181103Penguins-Wolf Pack-
165 - 2023-02-201115Senators-Penguins-
167 - 2023-02-221133Penguins-Eagles-
168 - 2023-02-231143Penguins-Stars-
170 - 2023-02-251162Bears-Penguins-
173 - 2023-02-281180Penguins-Griffins-
175 - 2023-03-021192Admirals-Penguins-
177 - 2023-03-041205Bruins-Penguins-
178 - 2023-03-051221Phantoms-Penguins-
180 - 2023-03-071233Penguins-Comets-
182 - 2023-03-091244Wild-Penguins-
184 - 2023-03-111266Penguins-Griffins-
187 - 2023-03-141286IceHogs-Penguins-
189 - 2023-03-161303Penguins-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
20,132$ 1,902,500$ 1,902,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,066$ 20,132$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 10,066$ 1,882,342$




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
11823831043332121694341161801321109971241221303012103723196212353565394572881030279621026101443237885527120961083027.78%1243869.35%3982183753.46%812152953.11%613105857.94%1805101815317751628782
11823831043332121694341161801321109971241221303012103723196212353565394572881030279621026101443237885527120961083027.78%1243869.35%3982183753.46%812152953.11%613105857.94%1805101815317751628782
Total Saison régulière1647662086664243388682323602642218194248244260602420614462192424706113061890144176206054192420522028864756171054241922166027.78%2487669.35%61964367453.46%1624305853.11%1226211657.94%361120373063155132561565
Séries éliminatoires
1151400000917-82110000056-130300000411-7291423002331193657140172157322117300.00%11463.64%05511448.25%6112349.59%367349.32%10660117489446
1151400000917-82110000056-130300000411-7291423002331193657140172157322117300.00%11463.64%05511448.25%6112349.59%367349.32%10660117489446
Total Séries éliminatoires1028000001834-16422000001012-260600000822-144182846004662386130142803443014644234600.00%22863.64%011022848.25%12224649.59%7214649.32%2131212359718992