WILKIES-BARRIE Penguins

GP: 28 | W: 5 | L: 22 | OTL: 1 | P: 11
GF: 65 | GA: 276 | PP%: 0.00% | PK%: 50.00%
DG: Francois et Matthieu Gratton | Morale : 92 | Moyenne d'Équipe : 59
Prochain matchs #374 vs ROCKFORD IceHogs
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 SP
1Tim Schaller0X100.007241756681766065696663696459533696670
2Nicolas Deslauriers0X100.008847736382756162746362646263545396660
3Brooks Laich0X100.006841837175772960506260686081662599650
4Stefan Noesen0X100.008335716578805464696563606456527896650
5Nic Petan0X100.005135736565705964676462606355517299620
6Steven Fogarty0X100.005935636985525569696464516550506290610
7Gabriel Dumont0X100.005089587068505070706262606253514699600
8Christian Thomas0XX100.005141766057646861505963606351517299600
9Gabriel Gagne0X100.005789706387505063505454505450504499570
10Felix Girard0X100.005089536272505062705353505350504299550
11Justin Holl0X100.006035776287725562305855656451506099620
12Ryan Graves0X100.006835726395596363305253626351505990620
13David Schlemko0X100.005835776376645962305247635967552796600
14Brandon Davidson0X100.006562745682655556305350655956524196590
15Chris Summers0X100.005789616282495062304742505253516299540
16Morgan Ellis0X100.005135746674485352302725605162516391510
17Calle Andersson0X100.004835806178454046302120534858567999460
Rayé
MOYENNE D'ÉQUIPE100.00615171647862546150545359595753549760
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
1Michal Neuvirth100.00645980796363646363635969676096600
2Mike Condon100.00545663795353545353534960573696520
Rayé
MOYENNE D'ÉQUIPE100.0059587279585859585858546562489656
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ron Rolston67676767737366USA533371,000$


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
1Steven FogartyWILKIES-BARRIE Penguins (PIT)C2842648-24408642157469926.75%4746416.5700003000004065.80%23100072.0700000700
2Ryan GravesWILKIES-BARRIE Penguins (PIT)D2841317-14200711638122910.53%3637513.400002300000010.00%000000.9100000022
3Morgan EllisWILKIES-BARRIE Penguins (PIT)D2841216-1495171731102112.90%3337513.410005300000100.00%000000.8500100012
Stats d'équipe Total ou en Moyenne84503181-52335174752266814922.12%116121414.46000710000005165.80%23100071.3300100734
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Brandon DavidsonWILKIES-BARRIE Penguins (PIT)D281991-08-21No95 Kg188 CMNoNoNo2Sans RestrictionPro & Farm750,000$0$0$NoLien
Brooks LaichWILKIES-BARRIE Penguins (PIT)C361983-06-23No91 Kg188 CMNoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Calle AnderssonWILKIES-BARRIE Penguins (PIT)D251994-05-16No99 Kg188 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Chris SummersWILKIES-BARRIE Penguins (PIT)D311988-02-05No94 Kg188 CMNoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Christian ThomasWILKIES-BARRIE Penguins (PIT)LW/RW271992-05-26No80 Kg175 CMNoNoNo6Avec RestrictionPro & Farm750,000$0$0$NoLien
David SchlemkoWILKIES-BARRIE Penguins (PIT)D321987-05-07No87 Kg185 CMNoNoNo1Sans RestrictionPro & Farm2,100,000$0$0$NoLien
Felix GirardWILKIES-BARRIE Penguins (PIT)C251994-05-09No89 Kg180 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Gabriel DumontWILKIES-BARRIE Penguins (PIT)C281990-10-06No86 Kg178 CMNoNoNo6Sans RestrictionPro & Farm750,000$0$0$NoLien
Gabriel GagneWILKIES-BARRIE Penguins (PIT)RW221996-11-11No85 Kg196 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Justin HollWILKIES-BARRIE Penguins (PIT)D271992-01-30No93 Kg193 CMNoNoNo6Avec RestrictionPro & Farm750,000$0$0$NoLien
Michal NeuvirthWILKIES-BARRIE Penguins (PIT)G311988-03-23No95 Kg185 CMNoNoNo6Sans RestrictionPro & Farm2,250,000$0$0$NoLien
Mike CondonWILKIES-BARRIE Penguins (PIT)G291990-04-27No89 Kg188 CMNoNoNo6Sans RestrictionPro & Farm2,400,000$0$0$NoLien
Morgan EllisWILKIES-BARRIE Penguins (PIT)D271992-04-30No95 Kg185 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$No
Nic PetanWILKIES-BARRIE Penguins (PIT)LW241995-03-22No81 Kg175 CMNoNoNo3Avec RestrictionPro & Farm750,000$0$0$NoLien
Nicolas DeslauriersWILKIES-BARRIE Penguins (PIT)LW281991-02-22No100 Kg185 CMNoNoNo1Sans RestrictionPro & Farm775,000$0$0$NoLien
Ryan GravesWILKIES-BARRIE Penguins (PIT)D241995-05-21No103 Kg196 CMNoNoNo2Avec RestrictionPro & Farm900,000$0$0$NoLien
Stefan NoesenWILKIES-BARRIE Penguins (PIT)RW261993-02-12No93 Kg185 CMNoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Steven FogartyWILKIES-BARRIE Penguins (PIT)C261993-04-19No95 Kg191 CMNoNoNo6Avec RestrictionPro & Farm750,000$0$0$NoLien
Tim SchallerWILKIES-BARRIE Penguins (PIT)C281990-11-16No93 Kg188 CMNoNoNo3Sans RestrictionPro & Farm1,900,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1927.5892 Kg185 CM3.051,053,947$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
131122
2Steven Fogarty26122
323122
4Steven Fogarty20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
131122
2Ryan GravesMorgan Ellis26122
323122
420122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
155122
2Steven Fogarty45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Ryan GravesMorgan Ellis45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Ryan GravesMorgan Ellis45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
245122Ryan GravesMorgan Ellis45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Ryan GravesMorgan Ellis45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Steven Fogarty, , Steven Fogarty,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , , Steven Fogarty
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , , , Steven Fogarty, , , , , ,
Lignes de Défense Perso. en Prol.
, , Ryan Graves, Morgan Ellis,


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
LigueDomicileVisiteur
# 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
1BELLEVILLE Senators10100000110-910100000110-90000000000000.00012300341516026218178180054172130200.00%5260.00%013339433.76%13067019.40%15055926.83%366260104016927399
2BRIDGEPORT Sound Tigers20200000019-191010000005-510100000014-1400.00000000341516013218178180015246015500.00%000.00%013339433.76%13067019.40%15055926.83%366260104016927399
3CHICAGO Wolves11000000725110000007250000000000021.00071320003415160512181781800329024000.00%000.00%013339433.76%13067019.40%15055926.83%366260104016927399
4CLEVELAND Monsters211000001011-1110000008621010000025-320.5001019290034151609021817818007226041000.00%000.00%013339433.76%13067019.40%15055926.83%366260104016927399
5CORNWALL Aces1010000045-11010000045-10000000000000.00048120034151604321817818004114018000.00%000.00%013339433.76%13067019.40%15055926.83%366260104016927399
6HOLLYWOOD Oscar1100000010910000000000011000000109121.0001019290034151607421817818004819030000.00%000.00%013339433.76%13067019.40%15055926.83%366260104016927399
7IOWA Wild10100000313-100000000000010100000313-1000.0003470034151601421817818009218021100.00%000.00%013339433.76%13067019.40%15055926.83%366260104016927399
8LEHIGH VALLEY Phantoms1010000039-61010000039-60000000000000.00035800341516072181781800682106100.00%000.00%013339433.76%13067019.40%15055926.83%366260104016927399
9MANITOBA Moose40400000147-4620200000122-2120200000025-2500.000123003415160302181781800330834271200.00%20100.00%013339433.76%13067019.40%15055926.83%366260104016927399
10MILWAUKEE Admirals30300000132-3110100000010-1020200000122-2100.00012300341516017218178180019565221800.00%110.00%013339433.76%13067019.40%15055926.83%366260104016927399
11PROVIDENCE Bruins20200000124-2310100000111-1010100000013-1300.0001230034151606218178180015243616400.00%220.00%013339433.76%13067019.40%15055926.83%366260104016927399
12PV Sharapovas10100000012-120000000000010100000012-1200.00000000341516082181781800792467200.00%3166.67%013339433.76%13067019.40%15055926.83%366260104016927399
13STOCKTON Flames10100000012-1210100000012-120000000000000.000000003415160621817818007915014000.00%10100.00%013339433.76%13067019.40%15055926.83%366260104016927399
14SYRACUSE Crunch220000001596110000009451100000065141.00015264100341516014021817818005114042000.00%000.00%013339433.76%13067019.40%15055926.83%366260104016927399
15TORONTO Marlies20100100619-1320100100619-130000000000010.2506121800341516028218178180014834426200.00%2150.00%013339433.76%13067019.40%15055926.83%366260104016927399
Total285220010065276-211143100010040115-75142120000025161-136110.1966511818300341516057621817818001872518473704100.00%18950.00%013339433.76%13067019.40%15055926.83%366260104016927399
17UTICA Comets10100000115-140000000000010100000115-1400.0001120034151604218178180010126415100.00%220.00%013339433.76%13067019.40%15055926.83%366260104016927399
18VICTORIAVILLE Tigres20200000228-260000000000020200000228-2600.00023500341516019218178180017844017300.00%000.00%013339433.76%13067019.40%15055926.83%366260104016927399
_Since Last GM Reset285220010065276-211143100010040115-75142120000025161-136110.1966511818300341516057621817818001872518473704100.00%18950.00%013339433.76%13067019.40%15055926.83%366260104016927399
_Vs Conference173130010045173-128917001002481-57826000002192-7170.206458112600341516039521817818001168303352382300.00%13469.23%013339433.76%13067019.40%15055926.83%366260104016927399
_Vs Division524001001339-26313001001120-921100000219-1750.500132437003415160110218178180029293062600.00%000.00%013339433.76%13067019.40%15055926.83%366260104016927399

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2811L36511818357618725184737000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
28522010065276
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
14310010040115
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
14212000025161
Derniers 10 Matchs
WLOTWOTL SOWSOL
190000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4100.00%18950.00%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
21817818003415160
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
13339433.76%13067019.40%15055926.83%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
366260104016927399


Derniers Match 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
1 - 2019-07-3010WILKIES-BARRIE Penguins1VICTORIAVILLE Tigres13LSommaire du Match
2 - 2019-07-3116MILWAUKEE Admirals10WILKIES-BARRIE Penguins0LSommaire du Match
3 - 2019-08-0129WILKIES-BARRIE Penguins1MILWAUKEE Admirals11LSommaire du Match
4 - 2019-08-0249MANITOBA Moose11WILKIES-BARRIE Penguins0LSommaire du Match
6 - 2019-08-0464WILKIES-BARRIE Penguins0PV Sharapovas12LSommaire du Match
7 - 2019-08-0569SYRACUSE Crunch4WILKIES-BARRIE Penguins9WSommaire du Match
9 - 2019-08-0785TORONTO Marlies7WILKIES-BARRIE Penguins6LXSommaire du Match
10 - 2019-08-08100WILKIES-BARRIE Penguins10HOLLYWOOD Oscar9WSommaire du Match
11 - 2019-08-09113CORNWALL Aces5WILKIES-BARRIE Penguins4LSommaire du Match
12 - 2019-08-10119WILKIES-BARRIE Penguins0MILWAUKEE Admirals11LSommaire du Match
14 - 2019-08-12142WILKIES-BARRIE Penguins3IOWA Wild13LSommaire du Match
15 - 2019-08-13150BELLEVILLE Senators10WILKIES-BARRIE Penguins1LSommaire du Match
17 - 2019-08-15161WILKIES-BARRIE Penguins6SYRACUSE Crunch5WSommaire du Match
18 - 2019-08-16178WILKIES-BARRIE Penguins0MANITOBA Moose12LSommaire du Match
19 - 2019-08-17181LEHIGH VALLEY Phantoms9WILKIES-BARRIE Penguins3LSommaire du Match
20 - 2019-08-18196WILKIES-BARRIE Penguins1VICTORIAVILLE Tigres15LSommaire du Match
22 - 2019-08-20208CHICAGO Wolves2WILKIES-BARRIE Penguins7WSommaire du Match
24 - 2019-08-22224WILKIES-BARRIE Penguins0PROVIDENCE Bruins13LSommaire du Match
25 - 2019-08-23237WILKIES-BARRIE Penguins0MANITOBA Moose13LSommaire du Match
26 - 2019-08-24248STOCKTON Flames12WILKIES-BARRIE Penguins0LSommaire du Match
27 - 2019-08-25261MANITOBA Moose11WILKIES-BARRIE Penguins1LSommaire du Match
28 - 2019-08-26280WILKIES-BARRIE Penguins0BRIDGEPORT Sound Tigers14LSommaire du Match
29 - 2019-08-27288TORONTO Marlies12WILKIES-BARRIE Penguins0LSommaire du Match
30 - 2019-08-28304WILKIES-BARRIE Penguins2CLEVELAND Monsters5LSommaire du Match
31 - 2019-08-29315CLEVELAND Monsters6WILKIES-BARRIE Penguins8WSommaire du Match
32 - 2019-08-30329PROVIDENCE Bruins11WILKIES-BARRIE Penguins1LSommaire du Match
34 - 2019-09-01345WILKIES-BARRIE Penguins1UTICA Comets15LSommaire du Match
35 - 2019-09-02353BRIDGEPORT Sound Tigers5WILKIES-BARRIE Penguins0LSommaire du Match
37 - 2019-09-04374ROCKFORD IceHogs-WILKIES-BARRIE Penguins-
38 - 2019-09-05386WILKIES-BARRIE Penguins-PV Sharapovas-
39 - 2019-09-06396BROOKLYN Wolfpack-WILKIES-BARRIE Penguins-
41 - 2019-09-08414WILKIES-BARRIE Penguins-MONT-LAURIER Sommet-
42 - 2019-09-09420BELLEVILLE Senators-WILKIES-BARRIE Penguins-
43 - 2019-09-10432WILKIES-BARRIE Penguins-MONT-LAURIER Sommet-
45 - 2019-09-12450LEHIGH VALLEY Phantoms-WILKIES-BARRIE Penguins-
46 - 2019-09-13458WILKIES-BARRIE Penguins-HOLLYWOOD Oscar-
47 - 2019-09-14476WILKIES-BARRIE Penguins-COLORADO Eagles-
48 - 2019-09-15485COLORADO Eagles-WILKIES-BARRIE Penguins-
49 - 2019-09-16497WILKIES-BARRIE Penguins-SAN DIEGO Gulls-
50 - 2019-09-17509WILKIES-BARRIE Penguins-SYRACUSE Crunch-
51 - 2019-09-18521SYRACUSE Crunch-WILKIES-BARRIE Penguins-
53 - 2019-09-20537WILKIES-BARRIE Penguins-ROCKFORD IceHogs-
54 - 2019-09-21547PV Sharapovas-WILKIES-BARRIE Penguins-
56 - 2019-09-23566WILKIES-BARRIE Penguins-MILWAUKEE Admirals-
57 - 2019-09-24572VICTORIAVILLE Tigres-WILKIES-BARRIE Penguins-
59 - 2019-09-26593HERSEY Bears-WILKIES-BARRIE Penguins-
61 - 2019-09-28606WILKIES-BARRIE Penguins-IOWA Wild-
62 - 2019-09-29611PV Sharapovas-WILKIES-BARRIE Penguins-
65 - 2019-10-02632WILKIES-BARRIE Penguins-LEHIGH VALLEY Phantoms-
66 - 2019-10-03644CORNWALL Aces-WILKIES-BARRIE Penguins-
68 - 2019-10-05657WILKIES-BARRIE Penguins-LEHIGH VALLEY Phantoms-
69 - 2019-10-06670WILKIES-BARRIE Penguins-STOCKTON Flames-
70 - 2019-10-07676LAVAL Rockets-WILKIES-BARRIE Penguins-
72 - 2019-10-09692WILKIES-BARRIE Penguins-BELLEVILLE Senators-
73 - 2019-10-10701IOWA Wild-WILKIES-BARRIE Penguins-
74 - 2019-10-11718HOLLYWOOD Oscar-WILKIES-BARRIE Penguins-
75 - 2019-10-12725WILKIES-BARRIE Penguins-LAVAL Rockets-
76 - 2019-10-13742WILKIES-BARRIE Penguins-TUSCON Roadrunners-
77 - 2019-10-14753IOWA Wild-WILKIES-BARRIE Penguins-
79 - 2019-10-16768STOCKTON Flames-WILKIES-BARRIE Penguins-
80 - 2019-10-17783WILKIES-BARRIE Penguins-CHICAGO Wolves-
82 - 2019-10-19794WILKIES-BARRIE Penguins-STOCKTON Flames-
83 - 2019-10-20802HOLLYWOOD Oscar-WILKIES-BARRIE Penguins-
84 - 2019-10-21820WILKIES-BARRIE Penguins-BROOKLYN Wolfpack-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22830UTICA Comets-WILKIES-BARRIE Penguins-
86 - 2019-10-23848MILWAUKEE Admirals-WILKIES-BARRIE Penguins-
88 - 2019-10-25863WILKIES-BARRIE Penguins-TORONTO Marlies-
90 - 2019-10-27878VICTORIAVILLE Tigres-WILKIES-BARRIE Penguins-
91 - 2019-10-28890WILKIES-BARRIE Penguins-HERSEY Bears-
93 - 2019-10-30903TUSCON Roadrunners-WILKIES-BARRIE Penguins-
94 - 2019-10-31916WILKIES-BARRIE Penguins-TORONTO Marlies-
95 - 2019-11-01925WILKIES-BARRIE Penguins-CORNWALL Aces-
96 - 2019-11-02935SAN DIEGO Gulls-WILKIES-BARRIE Penguins-
98 - 2019-11-04947WILKIES-BARRIE Penguins-CORNWALL Aces-
100 - 2019-11-06960MONT-LAURIER Sommet-WILKIES-BARRIE Penguins-
102 - 2019-11-08977MILWAUKEE Admirals-WILKIES-BARRIE Penguins-
103 - 2019-11-09991WILKIES-BARRIE Penguins-BELLEVILLE Senators-
105 - 2019-11-111004MONT-LAURIER Sommet-WILKIES-BARRIE Penguins-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
776,370$ 2,002,500$ 2,002,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 655,025$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 72 22,182$ 1,597,104$




LigueDomicileVisiteur
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
32285220010065276-211143100010040115-75142120000025161-136116511818300341516057621817818001872518473704100.00%18950.00%013339433.76%13067019.40%15055926.83%366260104016927399
Total Saison Régulière285220010065276-211143100010040115-75142120000025161-136116511818300341516057621817818001872518473704100.00%18950.00%013339433.76%13067019.40%15055926.83%366260104016927399