Connexion

Penguins
GP: 60 | W: 20 | L: 38 | OTL: 2 | P: 42
GF: 239 | GA: 333 | PP%: 28.57% | PK%: 72.33%
DG: | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #938 vs Barrucada
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Penguins
20-38-2, 42pts
6
FINAL
5 Roadrunners
21-31-6, 48pts
Team Stats
W3StreakL2
10-19-0Home Record10-17-2
10-19-2Away Record11-14-4
5-5-0Last 10 Games1-7-2
3.98Buts par match 4.24
5.55Buts contre par match 5.17
28.57%Pourcentage en avantage numérique27.27%
72.33%Pourcentage en désavantage numérique71.43%
IceHogs
16-37-4, 36pts
2
FINAL
4 Penguins
20-38-2, 42pts
Team Stats
L4StreakW3
11-17-1Home Record10-19-0
5-20-3Away Record10-19-2
2-8-0Last 10 Games5-5-0
4.86Buts par match 3.98
6.33Buts contre par match 5.55
34.64%Pourcentage en avantage numérique28.57%
53.99%Pourcentage en désavantage numérique72.33%
Penguins
20-38-2, 42pts
2022-10-08
Barrucada
37-17-3, 77pts
Statistiques d’équipe
W3SéquenceW2
10-19-0Fiche domicile19-9-1
10-19-2Fiche visiteur18-8-2
5-5-010 derniers matchs6-3-1
3.98Buts par match 4.89
5.55Buts contre par match 4.89
28.57%Pourcentage en avantage numérique29.11%
72.33%Pourcentage en désavantage numérique71.84%
Penguins
20-38-2, 42pts
2022-10-09
American
30-24-5, 65pts
Statistiques d’équipe
W3SéquenceW1
10-19-0Fiche domicile18-9-2
10-19-2Fiche visiteur12-15-3
5-5-010 derniers matchs6-4-0
3.98Buts par match 4.19
5.55Buts contre par match 4.19
28.57%Pourcentage en avantage numérique26.49%
72.33%Pourcentage en désavantage numérique74.38%
Phantoms
31-26-1, 63pts
2022-10-11
Penguins
20-38-2, 42pts
Statistiques d’équipe
L1SéquenceW3
17-11-1Fiche domicile10-19-0
14-15-0Fiche visiteur10-19-2
6-4-010 derniers matchs5-5-0
3.97Buts par match 3.98
3.76Buts contre par match 3.98
28.92%Pourcentage en avantage numérique28.57%
74.34%Pourcentage en désavantage numérique72.33%
Meneurs d'équipe
Michael ChaputButs
Michael Chaput
29
Cam LeePasses
Cam Lee
42
Drew O'ConnorPoints
Drew O'Connor
66
Jonathan GrudenPlus/Moins
Jonathan Gruden
-8
Louis DomingueVictoires
Louis Domingue
7
Louis DominguePourcentage d’arrêts
Louis Domingue
0.92

Statistiques d’équipe
Buts pour
239
3.98 GFG
Tirs pour
2073
34.55 Avg
Pourcentage en avantage numérique
28.6%
40 GF
Début de zone offensive
39.3%
Buts contre
333
5.55 GAA
Tirs contre
2361
39.35 Avg
Pourcentage en désavantage numérique
72.3%
44 GA
Début de la zone défensive
36.9%
Informations de l'équipe

Directeur général
EntraîneurJ.D. Forrest
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro13
Équipe Mineure23
Limite contact 36 / 20
Espoirs0


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
1Drew O'ConnorX97.007039916684848068716965586965674240650231925,000$
2Michael ChaputX100.007239826081748360786159635871735040630301750,000$
3Jordan BelleriveX98.4272556885787388607259605567575977406302310$
4Justin AlmeidaX100.006450928774747456715458546757597840620231809,166$
5Jan DrozgX100.006638805976727155615758535964665740580231809,166$
6Jonathan GrudenX100.006134755870728157595859525763656140580222788,333$
7Juuso RiikolaX100.0083378065727981653068626050707234406402811,150,000$
8Mark FriedmanX100.006436706671827366306867665568695340630261725,000$
9Taylor FedunX100.006839875977816958305957554575802240600331750,000$
10Cam LeeX100.0064397258737788593061555648666852405902510$
11William ReillyX100.0063518261796976555057615861606170405902410$
Rayé
1Anthony AngelloX100.007942846192777663566265586267695240630261725,000$
MOYENNE D’ÉQUIPE99.58694280657776786053616157586567544061
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
Rayé
1Louis Domingue100.00737577857271737372737273845240620301750,000$
MOYENNE D’ÉQUIPE100.0073757785727173737273727384524062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
J.D. Forrest63656673635985USA413850,000$


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
1Drew O'ConnorPenguins (PIT)LW56264066-2118047110265711809.81%18125522.41213154010820261452122.4146200001.0503000231
2Jordan BellerivePenguins (PIT)C59293362-124351461762236612913.00%11112619.0921012281080001453119.09144900001.1013001452
3Justin AlmeidaPenguins (PIT)C60292756-28195881802889423110.07%17107417.9112320440002432217.91112000011.0401001103
4Juuso RiikolaPenguins (PIT)D60133851-3251515666124297710.48%90138923.165813421160000113000.00%100000.7300010122
5Anthony AngelloPenguins (PIT)RW50252550-124410116431515513816.56%16109221.867411229401121051221.8611200010.9123010342
6Cam LeePenguins (PIT)D6074249-20275132687734669.09%110106917.83033927000161100.00%000000.9200001002
7Michael ChaputPenguins (PIT)C45291948-13120711151644812317.68%1988119.583149650004355119.58100400021.0911000602
8Taylor FedunPenguins (PIT)D6083442-16460100458530539.41%55115419.2444829970000103000.00%000000.7300000011
9Jonathan GrudenPenguins (PIT)LW60172441-814071561644112110.37%18104417.4034721840000382017.4010000010.7900000121
10Jan DrozgPenguins (PIT)RW60142337-142606662124349411.29%14105417.5723514990000260117.5711000010.7000000100
11William ReillyPenguins (PIT)D4992837-10255443969153913.04%6088418.0434724550000680018.04200000.8400010100
12Mark FriedmanPenguins (PIT)D3592130-10120545810738588.41%6476821.9735849640112790021.97200000.7800000121
13Nathan BeaulieuPenguinsD1751722-15160322738163213.16%2639123.010772132011025000.00%000001.1200000000
14Pierre-Olivier JosephPenguinsD1151116-640151926151619.23%2426724.304151323000027010.00%000001.2000000010
15Alexander NylanderPenguinsLW/RW41673203112511234.00%19022.5401157000071022.543500001.5500000100
16Chad RuhwedelPenguinsD8257-114081419141810.53%1819724.66112515000014000.00%000000.7100000000
17Radim ZohornaPenguinsLW1022000321120.00%02424.9001103000010024.90400001.6100000000
Statistiques d’équipe totales ou en moyenne695228395623-22536335115210911950612140011.69%5611376519.81407211235110472351894317957.24%440100060.91411033222017
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
1Louis DominguePenguins (PIT)157800.9202.9791020455640001.0008150111
Statistiques d’équipe totales ou en moyenne157800.9202.9791020455640001.0008150111


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 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
Anthony AngelloPenguins (PIT)RW261996-03-06No210 Lbs6 ft5NoNoNo1Pro & Farm725,000$218,280$0$0$NoLien / Lien NHL
Cam LeePenguins (PIT)D251997-02-18No190 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLien / Lien NHL
Drew O'ConnorPenguins (PIT)LW231998-06-09No200 Lbs6 ft3NoNoNo1Pro & Farm925,000$278,495$0$0$NoLien / Lien NHL
Jan DrozgPenguins (PIT)RW231999-04-01No174 Lbs6 ft2NoNoNo1Pro & Farm809,166$243,620$0$0$NoLien / Lien NHL
Jonathan GrudenPenguins (PIT)LW222000-05-04No172 Lbs6 ft0NoNoNo2Pro & Farm788,333$237,348$0$0$No788,333$Lien / Lien NHL
Jordan BellerivePenguins (PIT)C231999-05-02No195 Lbs5 ft10NoNoNo1Pro & Farm0$0$NoLien
Justin AlmeidaPenguins (PIT)C231999-02-06No165 Lbs5 ft11NoNoNo1Pro & Farm809,166$243,620$0$0$NoLien / Lien NHL
Juuso RiikolaPenguins (PIT)D281993-11-09No189 Lbs6 ft0NoNoNo1Pro & Farm1,150,000$346,237$0$0$NoLien / Lien NHL
Louis DominguePenguins (PIT)G301992-03-06No208 Lbs6 ft3NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Mark FriedmanPenguins (PIT)D261995-12-25No185 Lbs5 ft11NoNoNo1Pro & Farm725,000$218,280$0$0$NoLien / Lien NHL
Michael ChaputPenguins (PIT)C301992-04-09No199 Lbs6 ft2NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Taylor FedunPenguins (PIT)D331988-06-04No200 Lbs6 ft1NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
William ReillyPenguins (PIT)D241997-07-23No196 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1325.85191 Lbs6 ft11.08629,359$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorJordan Bellerive40122
2Jonathan GrudenJustin AlmeidaJan Drozg30122
3Michael Chaput20122
4Drew O'ConnorJordan Bellerive10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso RiikolaMark Friedman40122
2Taylor FedunWilliam Reilly30122
3Cam Lee20122
4Juuso RiikolaMark Friedman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorJordan Bellerive60122
2Jonathan GrudenJustin AlmeidaJan Drozg40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso RiikolaMark Friedman60122
2Taylor FedunWilliam Reilly40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Drew O'Connor60122
2Jordan BelleriveJustin Almeida40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso RiikolaMark Friedman60122
2Taylor FedunWilliam Reilly40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Drew O'Connor60122Juuso RiikolaMark Friedman60122
240122Taylor FedunWilliam Reilly40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Drew O'Connor60122
2Jordan BelleriveJustin Almeida40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso RiikolaMark Friedman60122
2Taylor FedunWilliam Reilly40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorJordan BelleriveJuuso RiikolaMark Friedman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorJordan BelleriveJuuso RiikolaMark Friedman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Chaput, Jonathan Gruden, Jan DrozgMichael Chaput, Jonathan GrudenJan Drozg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cam Lee, Taylor Fedun, William ReillyCam LeeTaylor Fedun, William Reilly
Tirs de pénalité
Drew O'Connor, , Jordan Bellerive, Justin Almeida, Michael Chaput
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Drew O'Connor, , Jordan Bellerive, Justin Almeida, Michael Chaput, Jonathan Gruden, Jonathan Gruden, Jan Drozg, , ,
Lignes de défense personnalisées en prolongation
Juuso Riikola, Mark Friedman, Taylor Fedun, William Reilly, Cam Lee


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
1Admirals10001000541000000000001000100054121.00058130095746563069369367127338822100.00%40100.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
2Barrucada1010000028-61010000028-60000000000000.000246009574656346936936712741122222150.00%10100.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
3Bears303000001124-1320200000716-91010000048-400.000111829009574656104693693671271113020715240.00%9633.33%01075192555.84%929180751.41%646116055.69%142810281456396735359
4Bruins220000001055110000004311100000062441.000101525009574656696936936712760148364125.00%40100.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
5Canucks20200000514-91010000037-41010000027-500.00059140095746567669369367127672117398112.50%50100.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
6Checkers1010000089-11010000089-10000000000000.0008152300957465642693693671274615816200.00%4175.00%11075192555.84%929180751.41%646116055.69%142810281456396735359
7Chekers3110100018162201010001012-21100000084440.667182947009574656133693693671271022216465240.00%7614.29%01075192555.84%929180751.41%646116055.69%142810281456396735359
8Comets412000101528-1321100000913-420100010615-940.500152641009574656129693693671271804620878225.00%9277.78%01075192555.84%929180751.41%646116055.69%142810281456396735359
9Condors20200000613-71010000047-31010000026-400.00061016009574656706936936712780211441300.00%7442.86%01075192555.84%929180751.41%646116055.69%142810281456396735359
10Crunch2200000013103110000007521100000065141.0001323360095746566769369367127812413499333.33%4250.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
11Eagles20100010990100000102111010000078-120.500914230095746568269369367127942819388225.00%7271.43%01075192555.84%929180751.41%646116055.69%142810281456396735359
12Griffins211000001415-1110000007611010000079-220.5001426400095746567169369367127852583811100.00%30100.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
13Gulls211000001011-100000000000211000001011-120.5001019290095746568369369367127801912306233.33%5260.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
14Heat1000010067-1000000000001000010067-110.5006915009574656496936936712754124202150.00%10100.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
15IceHogs211000001091110000004221010000067-120.500101929009574656936936936712767114316350.00%2150.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
16Islanders303000001121-101010000046-220200000715-800.0001121320095746561106936936712710235186010330.00%9455.56%01075192555.84%929180751.41%646116055.69%142810281456396735359
17Marlies1010000015-41010000015-40000000000000.00012300957465633693693671274170252150.00%000.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
18Monsters303000001020-101010000056-120200000514-900.00010172700957465678693693671271534538713266.67%100100.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
19Moose11000000523110000005230000000000021.000591400957465641693693671273096296350.00%3166.67%01075192555.84%929180751.41%646116055.69%142810281456396735359
20Phantoms40400000923-1420200000414-102020000059-400.00091524009574656132693693671271623220729222.22%10460.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
21Reign1010000028-6000000000001010000028-600.00024600957465627693693671273498173133.33%30100.00%11075192555.84%929180751.41%646116055.69%142810281456396735359
22Roadrunners220000001293110000006421100000065141.00012203200957465680693693671276019633300.00%3166.67%01075192555.84%929180751.41%646116055.69%142810281456396735359
23Rocket1010000023-11010000023-10000000000000.0002460095746561969369367127341110204125.00%5180.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
24Senators2020000047-31010000013-21010000034-100.00046100095746564669369367127812222304125.00%10280.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
25Silver Knights1000010078-1000000000001000010078-110.500712190095746562469369367127541461911100.00%30100.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
26Stars2010001046-21010000014-31000001032120.5004610009574656426936936712775191337600.00%4175.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
27Thunderbirds11000000514000000000001100000051421.000591400957465650693693671273474324125.00%20100.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
28Wild211000007701010000025-31100000052320.500711180095746568869369367127862620374125.00%9277.78%01075192555.84%929180751.41%646116055.69%142810281456396735359
29Wolf Pack20200000512-71010000039-61010000023-100.00059140095746565569369367127942911415240.00%30100.00%01075192555.84%929180751.41%646116055.69%142810281456396735359
30Wolves413000001319-62110000087120200000512-720.250132134109574656116693693671271404626108600.00%13284.62%01075192555.84%929180751.41%646116055.69%142810281456396735359
Total60153802230239333-942981901010109157-483171901220130176-46420.350239410649109574656207369369367127236163838112171404028.57%1594472.33%21075192555.84%929180751.41%646116055.69%142810281456396735359
_Since Last GM Reset60153802230239333-942981901010109157-483171901220130176-46420.350239410649109574656207369369367127236163838112171404028.57%1594472.33%21075192555.84%929180751.41%646116055.69%142810281456396735359
_Vs Conference3472600010126201-75185130000070105-3516213000105696-40160.2351262183441095746561071693693671271370381222724722129.17%932474.19%11075192555.84%929180751.41%646116055.69%142810281456396735359
_Vs Division232200001074147-731129000004071-3112011000103476-4260.1307412720110957465672469369367127942263153510461328.26%631871.43%01075192555.84%929180751.41%646116055.69%142810281456396735359

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6042W323941064920732361638381121710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6015382230239333
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
298191010109157
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
317191220130176
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1404028.57%1594472.33%2
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
693693671279574656
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
1075192555.84%929180751.41%646116055.69%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
142810281456396735359


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
3 - 2022-06-0213Penguins5Thunderbirds1AWSommaire du match
4 - 2022-06-0328Wolves2Penguins5BWSommaire du match
7 - 2022-06-0647Chekers5Penguins6BWXSommaire du match
10 - 2022-06-0968Penguins3Wolves8ALSommaire du match
12 - 2022-06-1177Phantoms6Penguins2BLSommaire du match
15 - 2022-06-1496Penguins3Phantoms6ALSommaire du match
17 - 2022-06-16108Bears8Penguins5BLSommaire du match
20 - 2022-06-19132Wolf Pack9Penguins3BLSommaire du match
21 - 2022-06-20145Penguins6Heat7ALXSommaire du match
24 - 2022-06-23163Penguins3Islanders7ALSommaire du match
26 - 2022-06-25175Penguins4Gulls6ALSommaire du match
27 - 2022-06-26182Phantoms8Penguins2BLSommaire du match
30 - 2022-06-29207Monsters6Penguins5BLSommaire du match
32 - 2022-07-01218Penguins4Monsters9ALSommaire du match
35 - 2022-07-04234Islanders6Penguins4BLSommaire du match
36 - 2022-07-05249Penguins4Bears8ALSommaire du match
38 - 2022-07-07262Penguins0Comets10ALSommaire du match
40 - 2022-07-09278Griffins6Penguins7BWSommaire du match
43 - 2022-07-12299Chekers7Penguins4BLSommaire du match
45 - 2022-07-14312Penguins8Chekers4AWSommaire du match
47 - 2022-07-16329Canucks7Penguins3BLSommaire du match
49 - 2022-07-18343Penguins2Reign8ALSommaire du match
52 - 2022-07-21365Bears8Penguins2BLSommaire du match
54 - 2022-07-23382Penguins5Wild2AWSommaire du match
56 - 2022-07-25397Bruins3Penguins4BWSommaire du match
58 - 2022-07-27412Penguins6Crunch5AWSommaire du match
60 - 2022-07-29428Penguins1Monsters5ALSommaire du match
61 - 2022-07-30437Moose2Penguins5BWSommaire du match
64 - 2022-08-02461Rocket3Penguins2BLSommaire du match
66 - 2022-08-04474Penguins5Admirals4AWXSommaire du match
68 - 2022-08-06486Penguins6Comets5AWXXSommaire du match
70 - 2022-08-08499Penguins2Wolves4ALSommaire du match
71 - 2022-08-09506Crunch5Penguins7BWSommaire du match
74 - 2022-08-12522Penguins6IceHogs7ALSommaire du match
76 - 2022-08-14536Comets4Penguins6BWSommaire du match
78 - 2022-08-16548Penguins7Silver Knights8ALXSommaire du match
80 - 2022-08-18565Penguins2Wolf Pack3ALSommaire du match
81 - 2022-08-19573Stars4Penguins1BLSommaire du match
84 - 2022-08-22595Penguins2Phantoms3ALSommaire du match
86 - 2022-08-24604Senators3Penguins1BLSommaire du match
89 - 2022-08-27629Penguins7Griffins9ALSommaire du match
90 - 2022-08-28636Marlies5Penguins1BLSommaire du match
93 - 2022-08-31659Penguins6Gulls5AWSommaire du match
94 - 2022-09-01667Barrucada8Penguins2BLSommaire du match
98 - 2022-09-05693Checkers9Penguins8BLSommaire du match
100 - 2022-09-07710Penguins4Islanders8ALSommaire du match
102 - 2022-09-09721Penguins2Canucks7ALSommaire du match
103 - 2022-09-10733Comets9Penguins3BLSommaire du match
106 - 2022-09-13751Penguins7Eagles8ALSommaire du match
108 - 2022-09-15763Eagles1Penguins2BWXXSommaire du match
110 - 2022-09-17781Penguins3Stars2AWXXSommaire du match
112 - 2022-09-19796Wolves5Penguins3BLSommaire du match
114 - 2022-09-21810Penguins6Bruins2AWSommaire du match
116 - 2022-09-23827Wild5Penguins2BLSommaire du match
117 - 2022-09-24837Penguins3Senators4ALSommaire du match
120 - 2022-09-27857Condors7Penguins4BLSommaire du match
122 - 2022-09-29874Penguins2Condors6ALSommaire du match
124 - 2022-10-01891Roadrunners4Penguins6BWSommaire du match
127 - 2022-10-04911Penguins6Roadrunners5AWSommaire du match
129 - 2022-10-06922IceHogs2Penguins4BWSommaire du match
131 - 2022-10-08938Penguins-Barrucada-
132 - 2022-10-09946Penguins-American-
134 - 2022-10-11960Phantoms-Penguins-
137 - 2022-10-14979Penguins-Rocket-
138 - 2022-10-15991American-Penguins-
141 - 2022-10-181009Penguins-Thunderbirds-
143 - 2022-10-201021Penguins-Checkers-
144 - 2022-10-211026Gulls-Penguins-
147 - 2022-10-241055Reign-Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2022-10-271079Penguins-Heat-
152 - 2022-10-291087Silver Knights-Penguins-
154 - 2022-10-311104Penguins-Wolf Pack-
156 - 2022-11-021119Islanders-Penguins-
159 - 2022-11-051139Penguins-Bears-
161 - 2022-11-071151Thunderbirds-Penguins-
164 - 2022-11-101179Monsters-Penguins-
167 - 2022-11-131199Penguins-Marlies-
169 - 2022-11-151212Admirals-Penguins-
173 - 2022-11-191240Heat-Penguins-
177 - 2022-11-231267Wolf Pack-Penguins-
180 - 2022-11-261286Admirals-Penguins-
184 - 2022-11-301310Penguins-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,224,846$ 818,167$ 818,167$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
4,399$ 630,781$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 56 8,969$ 502,264$




Penguins Leaders statistiques (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

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

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

Penguins Leaders statistiques (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

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