Connexion

penguins
GP: 14 | W: 3 | L: 10 | OTL: 1 | P: 7
GF: 53 | GA: 86 | PP%: 18.18% | PK%: 58.33%
DG: Francois Rousseau | Morale : 50 | Moyenne d’équipe : 57
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Centre de jeu
Wolf Pack
11-3-0, 22pts
7
FINAL
2 penguins
3-10-1, 7pts
Team Stats
W5StreakL4
6-1-0Home Record2-4-1
5-2-0Away Record1-6-0
8-2-0Last 10 Games2-8-0
6.07Goals Per Game3.79
3.00Goals Against Per Game6.14
17.65%Power Play Percentage18.18%
69.44%Penalty Kill Percentage58.33%
penguins
3-10-1, 7pts
3
FINAL
8 Monsters
6-8-0, 12pts
Team Stats
L4StreakW1
2-4-1Home Record4-3-0
1-6-0Away Record2-5-0
2-8-0Last 10 Games3-7-0
3.79Goals Per Game4.57
6.14Goals Against Per Game5.50
18.18%Power Play Percentage36.84%
58.33%Penalty Kill Percentage72.41%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
53
3.79 GFG
Tirs pour
661
47.21 Avg
Pourcentage en avantage numérique
18.2%
4 GF
Début de zone offensive
37.2%
Buts contre
86
6.14 GAA
Tirs contre
800
57.14 Avg
Pourcentage en désavantage numérique
58.3%
10 GA
Début de la zone défensive
41.3%
Information d’équipe

Directeur généralFrancois Rousseau
EntraîneurAndrew Brunette
DivisionMetropolitaine
ConférenceConference 1
Capitaine
Assistant #1Laurent Dauphin
Assistant #2Phillip Di Giuseppe


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 80
Espoirs16


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
1Eeli Tolvanen0XX100.008545966768687877307379582548487251650224894,166$
2Phillip Di Giuseppe (A)0XX100.009046877970587163386856642560616345640272700,000$
3Ty Dellandrea (R)0XX100.008345757571626669565862712546466560630211925,000$
4Lias Andersson0XX100.006141847871626861456164712555556661610222894,166$
5Laurent Dauphin (A)0XXX100.007569886469636363796260655747476460600261700,000$
6C.J. Smith0X100.006966766866585766506562655955556454600262700,000$
7Sean Malone0X100.007471816471636461766058635544446255590262750,000$
8Lukas Vejdemo0XXX100.007472796472626458735062635944446247590252700,000$
9Tyler Steenbergen0XXX100.007466946866687256704463626044446252590231770,833$
10Henry Bowlby (R)0X100.007671876271565561765364646144446354590242842,500$
11Peyton Krebs (R)0XX100.006866727666535065806958615544446358580203894,167$
12Anthony Greco0XX100.007262966762596060506251654855555959580272737,500$
13Slater Koekkoek0X100.006742967672615652253948842559605957590273850,000$
14Fredrik Claesson0X100.007470847672575351244639652560605653570282700,000$
15Jack Rathbone (R)0X100.006563697163535065256156605344446154560223925,000$
16Paul LaDue0X100.006273357273575856254551584850515547550292700,000$
17Mark Friedman0X100.008144726467565455254962562545456053540252725,000$
Rayé
1Alex Barre-Boulet0X100.006541996265696680335072522545456642580244759,258$
2Joakim Nygard0X100.006341869065534858255055682547475235570281875,000$
3Jordy Bellerive0X100.006569556669646562785564596144446236570222733,333$
4Jean-Luc Foudy (R)0X100.007264896564687254685747614544445737570191700,000$
5Riley Sutter0X100.008178876378545454505944654244445642570213764,167$
6Jan Drozg0XX100.007366896366646752504356615344445838560222809,166$
7Zach Nastasiuk36XX100.0079719665715861486044466344444454375602600$
8Aleksi Heponiemi0XX100.005539926157625757256060692544446136550222925,000$
9Damien Riat (R)0XX100.007367886667586150504847604544445539550242817,500$
10John Quenneville47XXX100.006972616372515347594246584447485043530251750,000$
11Kyle Olson (R)0X100.006964816064535450504747584544445336530221700,000$
12Mitchell Vande Sompel (R)0X100.007570876270434249254339613744445135510242725,000$
MOYENNE D’ÉQUIPE100.00726082686859605949545663424848604758
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
1Mikhail Berdin100.00547391634955515950503044445555550
2Olle Eriksson Ek (R)100.00515468775152505651513044445255540
Rayé
1Ivan Prosvetov (R)100.00516176754851505649493044445238530
MOYENNE D’ÉQUIPE100.0052637872495350575050304444534954
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Brunette65707566716678CAN471500,000$


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
1Phillip Di Giuseppepenguins (PIT)LW/RW146152104036357328668.22%1622315.9901112000000163.64%1100001.8800000011
2Lukas Vejdemopenguins (PIT)C/LW/RW1413821000203892275814.13%822315.9910122000002166.08%33900021.8800000111
3Paul LaDuepenguins (PIT)D1451217-918084235619608.93%2929521.11202202000007000.00%000001.1500000104
4Fredrik Claessonpenguins (PIT)D1421214-116047244210284.76%4225718.41022151300005000.00%000001.0900000020
5Tyler Steenbergenpenguins (PIT)C/LW/RW14729100142751103013.73%7735.2500000000000066.09%11500012.4500000020
Statistiques d’équipe totales ou en moyenne70334982-93802011473149424210.51%102107415.3533638390000132266.02%46500031.5300000266
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
Statistiques d’équipe totales 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 Type Salaire actuel Salaire restantSalaire moyenPlafond 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
Aleksi Heponiemipenguins (PIT)LW/RW221999-01-08No155 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$700,000$0$0$No925,000$Lien / Lien NHL
Alex Barre-Bouletpenguins (PIT)C241997-05-20No180 Lbs5 ft10NoNoNo4Pro & Farm759,258$759,258$759,258$0$0$No758,333$758,333$758,333$Lien / Lien NHL
Anthony Grecopenguins (PIT)LW/RW271993-09-30No172 Lbs5 ft10NoNoNo2Farm Only737,500$737,500$700,000$0$0$No737,500$Lien / Lien NHL
C.J. Smithpenguins (PIT)LW261994-11-30No184 Lbs5 ft11NoNoNo2Pro & Farm700,000$700,000$925,000$0$0$No750,000$Lien / Lien NHL
Damien Riatpenguins (PIT)LW/RW241997-02-26Yes180 Lbs6 ft0NoNoNo2Pro & Farm817,500$817,500$817,500$0$0$No817,500$Lien
Eeli Tolvanenpenguins (PIT)LW/RW221999-04-22No191 Lbs5 ft10NoNoNo4Pro & Farm894,166$894,166$894,166$0$0$No1,450,000$1,450,000$1,450,000$Lien / Lien NHL
Fredrik Claessonpenguins (PIT)D281992-11-24No196 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$655,000$0$0$No750,000$Lien / Lien NHL
Henry Bowlbypenguins (PIT)C241997-02-26Yes194 Lbs6 ft1NoNoNo2Pro & Farm842,500$842,500$842,500$0$0$No842,500$Lien
Ivan Prosvetovpenguins (PIT)G221999-03-05Yes175 Lbs6 ft5NoNoNo2Pro & Farm809,167$809,167$809,167$0$0$No809,167$Lien / Lien NHL
Jack Rathbonepenguins (PIT)D221999-05-20Yes177 Lbs5 ft10NoNoNo3Pro & Farm925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Jan Drozgpenguins (PIT)LW/RW221999-04-01No174 Lbs6 ft2NoNoNo2Pro & Farm809,166$809,166$700,000$0$0$No809,166$Lien / Lien NHL
Jean-Luc Foudypenguins (PIT)C192002-05-13Yes176 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$700,000$0$0$NoLien
Joakim Nygardpenguins (PIT)LW281993-01-08No179 Lbs6 ft0NoNoNo1Pro & Farm875,000$875,000$700,000$0$0$NoLien / Lien NHL
John Quennevillepenguins (PIT)C/LW/RW251996-04-16No195 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$800,000$0$0$NoLien / Lien NHL
Jordy Bellerivepenguins (PIT)C221999-05-02No195 Lbs5 ft10NoNoNo2Pro & Farm733,333$733,333$700,000$0$0$No733,333$Lien / Lien NHL
Kyle Olsonpenguins (PIT)RW221999-03-22Yes179 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$700,000$0$0$NoLien
Laurent Dauphinpenguins (PIT)C/LW/RW261995-03-27No189 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$700,000$0$0$NoLien / Lien NHL
Lias Anderssonpenguins (PIT)C/LW221998-10-13No190 Lbs6 ft1NoNoNo2Pro & Farm894,166$894,166$700,000$0$0$No874,125$Lien / Lien NHL
Lukas Vejdemopenguins (PIT)C/LW/RW251996-01-25No194 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$792,500$0$0$No750,000$Lien / Lien NHL
Mark Friedmanpenguins (PIT)D251995-12-25No185 Lbs5 ft11NoNoNo2Pro & Farm725,000$725,000$825,000$0$0$No725,000$Lien / Lien NHL
Mikhail Berdinpenguins (PIT)G231998-02-28No163 Lbs6 ft2NoNoNo3Pro & Farm758,333$758,333$758,333$0$0$No750,000$750,000$Lien / Lien NHL
Mitchell Vande Sompelpenguins (PIT)D241997-02-11Yes198 Lbs5 ft11NoNoNo2Pro & Farm725,000$725,000$725,000$0$0$No725,000$Lien
Olle Eriksson Ekpenguins (PIT)G221999-06-22Yes189 Lbs6 ft3NoNoNo2Pro & Farm773,889$773,889$773,889$0$0$No773,889$Lien
Paul LaDuepenguins (PIT)D291992-09-06No197 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$800,000$0$0$No750,000$Lien / Lien NHL
Peyton Krebspenguins (PIT)C/LW202001-01-26Yes180 Lbs5 ft11NoNoNo3Pro & Farm894,167$894,167$894,167$0$0$No894,167$894,167$Lien
Phillip Di Giuseppepenguins (PIT)LW/RW271993-10-09No193 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$725,000$0$0$No750,000$Lien / Lien NHL
Riley Sutterpenguins (PIT)RW211999-10-25No207 Lbs6 ft4NoNoNo3Pro & Farm764,167$764,167$700,000$0$0$No764,167$764,167$Lien / Lien NHL
Sean Malonepenguins (PIT)C261995-04-30No197 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$550,000$0$0$No750,000$Lien / Lien NHL
Slater Koekkoekpenguins (PIT)D271994-02-18No193 Lbs6 ft2NoNoNo3Pro & Farm850,000$850,000$550,000$0$0$No925,000$925,000$Lien / Lien NHL
Ty Dellandreapenguins (PIT)C/RW212000-07-20Yes190 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$925,000$0$0$NoLien / Lien NHL
Tyler Steenbergenpenguins (PIT)C/LW/RW231998-01-07No188 Lbs5 ft10NoNoNo1Pro & Farm770,833$770,833$770,833$0$0$NoLien / Lien NHL
Zach Nastasiukpenguins (PIT)C/RW261995-03-30No190 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3223.94186 Lbs6 ft02.00759,630$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Phillip Di GiuseppeLukas Vejdemo30122
320122
4Tyler Steenbergen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Paul LaDue40122
2Fredrik Claesson30122
320122
4Paul LaDue10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Phillip Di GiuseppeLukas Vejdemo40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Paul LaDue60122
2Fredrik Claesson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Phillip Di Giuseppe40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Paul LaDue60122
2Fredrik Claesson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Paul LaDue60122
240122Fredrik Claesson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Phillip Di Giuseppe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Paul LaDue60122
2Fredrik Claesson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul LaDue
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Paul LaDue
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Fredrik Claesson, Fredrik Claesson
Tirs de pénalité
, , Phillip Di Giuseppe, ,
Gardien
#1 : , #2 :


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
1Bears312000001415-1211000009721010000058-320.333142438002012201222201220236415044497200.00%20100.00%024947252.75%22152542.10%13427349.08%3022193759116575
2Checkers20200000512-71010000036-31010000026-400.0005914002012201622012202364130286392150.00%4325.00%024947252.75%22152542.10%13427349.08%3022193759116575
3Monsters312000001221-91100000065120200000616-1020.3331222340020122011232012202364175508549222.22%5260.00%024947252.75%22152542.10%13427349.08%3022193759116575
4Phantoms20200000914-51010000068-21010000036-300.0009162500201220190201220236412134646100.00%3233.33%024947252.75%22152542.10%13427349.08%3022193759116575
5Sound Tigers200011009901000010056-11000100043130.75091726002012201108201220236410622653200.00%3166.67%024947252.75%22152542.10%13427349.08%3022193759116575
6Wolf Pack20200000415-111010000027-51010000028-600.00047110020122015620122023641183314416116.67%7271.43%024947252.75%22152542.10%13427349.08%3022193759116575
Total14210011005386-33724001003139-8706010002247-2570.250539514800201220166120122023648002114433022418.18%241058.33%024947252.75%22152542.10%13427349.08%3022193759116575
_Since Last GM Reset14210011005386-33724001003139-8706010002247-2570.250539514800201220166120122023648002114433022418.18%241058.33%024947252.75%22152542.10%13427349.08%3022193759116575
_Vs Conference14210011005386-33724001003139-8706010002247-2570.250539514800201220166120122023648002114433022418.18%241058.33%024947252.75%22152542.10%13427349.08%3022193759116575
_Vs Division14210011005386-33724001003139-8706010002247-2570.250539514800201220166120122023648002114433022418.18%241058.33%024947252.75%22152542.10%13427349.08%3022193759116575

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
147L453951486618002114433000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1421011005386
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
72401003139
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
70610002247
Derniers 10 matchs
WLOTWOTL SOWSOL
280000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
22418.18%241058.33%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
20122023642012201
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
24947252.75%22152542.10%13427349.08%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3022193759116575


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
1 - 2021-09-069penguins3Monsters8LSommaire du match
2 - 2021-09-0718Bears3penguins6WSommaire du match
4 - 2021-09-0939penguins3Phantoms6LSommaire du match
5 - 2021-09-1050Sound Tigers6penguins5LXSommaire du match
7 - 2021-09-1263Bears4penguins3LSommaire du match
8 - 2021-09-1380penguins5Bears8LSommaire du match
10 - 2021-09-1593Phantoms8penguins6LSommaire du match
11 - 2021-09-16106penguins2Checkers6LSommaire du match
12 - 2021-09-17121Monsters5penguins6WSommaire du match
15 - 2021-09-20141penguins4Sound Tigers3WXSommaire du match
16 - 2021-09-21154Checkers6penguins3LSommaire du match
17 - 2021-09-22158penguins2Wolf Pack8LSommaire du match
20 - 2021-09-25185Wolf Pack7penguins2LSommaire du match
21 - 2021-09-26193penguins3Monsters8LSommaire du match



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
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,430,816$ 2,351,732$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 0$ 0$




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