Connexion

PENGUINS
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Dave McGowan | Morale : 60 | Moyenne d’équipe : 81
Prochains matchs #9 vs SABRES
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SABRES
0-0-0, 0pts
Jour 1
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
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
PENGUINS
0-0-0, 0pts
Jour 2
SABRES
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
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
GOLDEN KNIGHTS
0-0-0, 0pts
Jour 3
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
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralDave McGowan
DivisionAtlantic Dvision
ConférenceEASTERN CONFERENCE
CapitaineSidney Crosby
Assistant #1
Assistant #2Marian Gaborik


Informations de l’aréna

NomCivic Arena
Capacité21,175
Assistance
Billets de saison8,470


Informations de la formation

Équipe Pro19
Équipe Mineure22
Limite contact 41 / 55
Espoirs11


Plafond salarial

Cap Salarial de la Saison estimé0$
Plafond salarial disponible83,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial19


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel693,956,531$
Compte bancaire projeté693,956,531$


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
1Sidney Crosby (C)0X100.00833199999999999992999993999393766093028310,916,000$
2Ryan OReilly0XX100.0089399999999999997799999688798178609202417,557,000$
3John Tavares0XX100.0081328099999996998599998799717381609002528,171,000$
4Evgeni Malkin0X100.0074307499948299998499997381757750608702929,321,000$
5Brad Marchand0X100.0080106399878999977297977282667055608602746,750,000$
6Kyle Clifford0X100.0097657092958790807180698470505468607902433,280,000$
7David Pastrnak0X100.00958749579809187707790759732388560780202650,000$
8Riley Sheahan0XX100.0087408886938481827671808574444975607702443,000,000$
9Lance Bouma0XXX100.0090497584928786788566758670344146607602532,147,000$
10Marian Gaborik (A)0XX100.0049199994957180657274766877919056607503321,816,000$
11Dustin Byfuglien0X100.0097574979997869763575656447737556607203031,055,000$
12Michael Bunting (R)0X100.006914707265728875697274677211204360670203750,000$
13Drew Doughty0X100.00843568999187959635987698557270756088026310,553,000$
14David Savard0X100.0099437088998588773673649753535652608502521,801,000$
15Jamie Oleksiak0X100.0086547165997768763370629846303753607802443,250,000$
16Jon Merrill0X100.0069207490827798723572369145323954607702441,500,000$
17Ian McCoshen (R)0X100.00622073748070726435603086419193560680203750,000$
Rayé
MOYENNE D’ÉQUIPE100.00823376899184888462817684705458616080
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
1Jake Allen0100.009999918299999999999399575769608902523,868,000$
2Connor Hellebuyck (R)0100.00889381848791999999849942429060840221650,000$
Rayé
MOYENNE D’ÉQUIPE100.0094968683939599999989995050806087
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
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 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 Plafond 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
Brad MarchandPENGUINSLW271988-01-01No181 Lbs5 ft9NoNoN/AYesNo42024-04-29FalseFalsePro Only6,750,000$6,750,000$6,750,000$No6,750,000$6,750,000$6,750,000$------6,750,000$6,750,000$6,750,000$------NoNoNo------Lien NHL
Connor HellebuyckPENGUINSG221993-01-01Yes207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro Only650,000$650,000$650,000$No---------------------------Lien NHL
David PastrnakPENGUINSRW201996-01-01No196 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro Only650,000$650,000$650,000$No650,000$--------650,000$--------No--------Lien NHL
David SavardPENGUINSD251990-01-01No229 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro Only1,801,000$1,801,000$1,801,000$No1,801,000$--------1,801,000$--------No--------Lien NHL
Drew DoughtyPENGUINSD261989-01-01No202 Lbs6 ft1NoNoN/AYesNo3FalseFalsePro Only10,553,000$10,553,000$10,553,000$No10,553,000$10,553,000$-------10,553,000$10,553,000$-------NoNo-------Lien NHL
Dustin ByfuglienPENGUINSLW301985-01-01No260 Lbs6 ft5NoNoN/AYesNo3FalseFalsePro & Farm1,055,000$1,055,000$1,055,000$No1,055,000$1,055,000$-------1,055,000$1,055,000$-------NoNo-------Lien NHL
Evgeni MalkinPENGUINSC291986-01-01No195 Lbs6 ft3NoNoTrade2024-05-16YesNo2FalseFalsePro Only9,321,000$9,321,000$9,321,000$No9,321,000$--------9,321,000$--------No--------Lien NHL
Ian McCoshenPENGUINSD201995-01-01Yes215 Lbs6 ft3NoNoFree AgentNoNo32024-05-01FalseFalsePro & Farm750,000$750,000$750,000$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Jake AllenPENGUINSG251990-01-01No203 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro Only3,868,000$3,868,000$3,868,000$No3,868,000$--------3,868,000$--------No--------Lien / Lien NHL
Jamie OleksiakPENGUINSD241992-01-01No257 Lbs6 ft7NoNoN/ANoNo42024-04-29FalseFalsePro Only3,250,000$3,250,000$3,250,000$No3,250,000$3,250,000$3,250,000$------3,250,000$3,250,000$3,250,000$------NoNoNo------Lien NHL
John TavaresPENGUINSC/LW251990-01-01No209 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro Only8,171,000$8,171,000$8,171,000$No8,171,000$--------8,171,000$--------No--------Lien NHL
Jon MerrillPENGUINSD241992-01-01No204 Lbs6 ft3NoNoFree AgentNoNo42024-04-30FalseFalsePro Only1,500,000$1,500,000$1,500,000$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------Lien NHL
Kyle CliffordPENGUINSLW241991-01-01No217 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro Only3,280,000$3,280,000$3,280,000$No3,280,000$3,280,000$-------3,280,000$3,280,000$-------NoNo-------Lien NHL
Lance BoumaPENGUINSC/LW/RW251990-01-01No215 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro Only2,147,000$2,147,000$2,147,000$No2,147,000$2,147,000$-------2,147,000$2,147,000$-------NoNo-------Lien NHL
Marian GaborikPENGUINSLW/RW331982-01-01No200 Lbs6 ft1NoNoN/AYesNo2FalseFalsePro Only1,816,000$1,816,000$1,816,000$No1,816,000$--------1,816,000$--------No--------Lien NHL
Michael BuntingPENGUINSLW201995-01-01Yes192 Lbs6 ft0NoNoFree AgentNoNo32024-05-03FalseFalsePro & Farm750,000$750,000$750,000$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Riley SheahanPENGUINSC/LW241991-01-01No214 Lbs6 ft2NoNoN/ANoNo42024-04-29FalseFalsePro Only3,000,000$3,000,000$3,000,000$No3,000,000$3,000,000$3,000,000$------3,000,000$3,000,000$3,000,000$------NoNoNo------Lien NHL
Ryan OReillyPENGUINSC/LW241991-01-01No216 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro Only7,557,000$7,557,000$7,557,000$No---------------------------Lien NHL
Sidney CrosbyPENGUINSC281987-01-01No200 Lbs5 ft11NoNoN/AYesNo3FalseFalsePro Only10,916,000$10,916,000$10,916,000$No10,916,000$10,916,000$-------10,916,000$10,916,000$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1925.00211 Lbs6 ft22.684,093,947$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
77,785,000$69,578,000$43,951,000$14,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan OReillySidney CrosbyDavid Pastrnak32023
2Brad MarchandJohn Tavares31023
3Kyle CliffordRiley SheahanMarian Gaborik22122
4Riley SheahanLance Bouma15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew Doughty35032
2David Savard35131
3Jamie Oleksiak15122
415122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan OReillySidney CrosbyDavid Pastrnak51005
2Brad MarchandJohn Tavares49005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew Doughty51005
2Riley Sheahan49005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Riley SheahanKyle Clifford51041
2Lance Bouma49041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1David Savard51140
2Jamie Oleksiak49140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Riley Sheahan51140Jamie OleksiakDavid Savard51140
2Lance Bouma4914049140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sidney CrosbyRyan OReilly51122
2John Tavares49122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Drew DoughtyJamie Oleksiak51122
2David Savard49122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan OReillySidney CrosbyJohn TavaresDrew Doughty
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan OReillySidney CrosbyJohn TavaresDrew Doughty
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sidney Crosby, Ryan OReilly, John TavaresJohn Tavares, David PastrnakRiley Sheahan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Drew Doughty, , David SavardDrew DoughtyJamie Oleksiak,
Tirs de pénalité
Sidney Crosby, David Pastrnak, John Tavares, Ryan OReilly, Brad Marchand
Gardien
#1 : Jake Allen, #2 : Connor Hellebuyck


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%000%0000%000%000%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%000%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%000%000%
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
19SABRES-PENGUINS-
220PENGUINS-SABRES-
327GOLDEN KNIGHTS-PENGUINS-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
438PENGUINS-GOLDEN KNIGHTS-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité69965983257044261200
Prix des billets1851357540999
Assistance0%0%0%0%0%
Attendance PCT0%0%0%0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 0 - 0%0$0$21175139

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 77,785,000$ 77,785,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 19 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 4 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 693,956,531$ 693,956,531$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 83,000,000$ 83,000,000$ -35,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Ryan OReillyAGE:24PO:78OV:92
John TavaresAGE:25PO:81OV:90
Brad MarchandAGE:27PO:55OV:86
Kyle CliffordAGE:24PO:68OV:79
Riley SheahanAGE:24PO:75OV:77
Lance BoumaAGE:25PO:46OV:76
Marian GaborikAGE:33PO:56OV:75
Dustin ByfuglienAGE:30PO:56OV:72
Connor Brown (R)AGE:21PO:69OV:70
Ryan GarbuttAGE:30PO:16OV:70
Chris KellyAGE:36PO:44OV:69
Nick Paul (R)AGE:20PO:52OV:68
Colton GilliesAGE:26PO:18OV:68
Michael Bunting (R)AGE:20PO:43OV:67
Luke GazdicAGE:26PO:16OV:67
Sidney CrosbyAGE:28PO:76OV:93
Ryan OReillyAGE:24PO:78OV:92
John TavaresAGE:25PO:81OV:90
Evgeni MalkinAGE:29PO:50OV:87
Riley SheahanAGE:24PO:75OV:77
Lance BoumaAGE:25PO:46OV:76
Yanick LehouxAGE:33PO:1OV:71
Connor Brown (R)AGE:21PO:69OV:70
Boyd GordonAGE:32PO:37OV:70
Ryan GarbuttAGE:30PO:16OV:70
Chris KellyAGE:36PO:44OV:69
Colton GilliesAGE:26PO:18OV:68
Johan SundstromAGE:24PO:20OV:66
Sean Malone (R)AGE:20PO:30OV:62
David PastrnakAGE:20PO:85OV:78
Lance BoumaAGE:25PO:46OV:76
Marian GaborikAGE:33PO:56OV:75
Brett ConnollyAGE:24PO:69OV:73
Yanick LehouxAGE:33PO:1OV:71
Connor Brown (R)AGE:21PO:69OV:70
Boyd GordonAGE:32PO:37OV:70
Joel VerminAGE:24PO:33OV:70
Ryan GarbuttAGE:30PO:16OV:70
David ClarksonAGE:32PO:40OV:67

Défense #1Défense #2Gardien
Drew DoughtyAGE:26PO:75OV:88
David SavardAGE:25PO:52OV:85
Jamie OleksiakAGE:24PO:53OV:78
Jon MerrillAGE:24PO:54OV:77
Colten TeubertAGE:25PO:15OV:74
Zach TrotmanAGE:25PO:30OV:73
Derek JoslinAGE:28PO:1OV:73
Jake Dotchin (R)AGE:21PO:39OV:72
Mat ClarkAGE:25PO:16OV:72
Jared CowenAGE:24PO:34OV:71
Tomas KundratekAGE:26PO:15OV:71
Ian McCoshen (R)AGE:20PO:35OV:68
Jake AllenAGE:25PO:69OV:89
Connor Hellebuyck (R)AGE:22PO:90OV:84
Mike SmithAGE:33PO:83OV:79
Curtis McElhinneyAGE:32PO:68OV:78

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Alex Nylander (s27)PENGUINS2731
Boris Katchouk (s27)PENGUINS2753
Christian Dvorak (s25)PENGUINS2525
Christoffer Ehn (s25)PENGUINS2579
Clark Bishop (s25)PENGUINS2573
Fredrik Karlstrom (s27)PENGUINS2775
Henrik Borgström (s27)PENGUINS2756
Jordan Kyrou (s27)PENGUINS279
Kaapo Kahkonen (s25)PENGUINS2557
Logan Brown (s27)PENGUINS2734
Nicolas Aube-Kubel (s25)PENGUINS2549

Choix au repêchage

Année R1R2R3R4R5R6R7
28
29
30
31
32
Choix au repêchage conditionnel



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PENGUINS Historique de transactions







Pas de blessure ou de suspension.


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

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 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

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