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Monsters
GP: 10 | W: 5 | L: 5
GF: 40 | GA: 39 | PP%: 27.03% | PK%: 84.00%
DG: Francois Juteau | Morale : 31 | Moyenne d’équipe : 65
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Centre de jeu
Icehogs
10-5-0, 20pts
3
FINAL
5 Monsters
5-5-0, 10pts
Team Stats
L1StreakL1
7-1-0Home Record2-2-0
3-4-0Away Record3-3-0
5-5-0Last 10 Games5-5-0
3.87Buts par match 4.00
3.80Buts contre par match 3.90
20.59%Pourcentage en avantage numérique27.03%
71.93%Pourcentage en désavantage numérique84.00%
Monsters
5-5-0, 10pts
2
FINAL
3 Icehogs
10-5-0, 20pts
Team Stats
L1StreakL1
2-2-0Home Record7-1-0
3-3-0Away Record3-4-0
5-5-0Last 10 Games5-5-0
4.00Buts par match 3.87
3.90Buts contre par match 3.80
27.03%Pourcentage en avantage numérique20.59%
84.00%Pourcentage en désavantage numérique71.93%
Meneurs d'équipe
Buts
Zac Dalpe
6
Passes
Zac Dalpe
15
Points
Zac Dalpe
21
Plus/Moins
Victor Mete
5
Victoires
Maxime Lagace
5
Pourcentage d’arrêts
Connor Hellebyuk
0.95

Statistiques d’équipe
Buts pour
40
4.00 GFG
Tirs pour
342
34.20 Avg
Pourcentage en avantage numérique
27.0%
10 GF
Début de zone offensive
33.5%
Buts contre
39
3.90 GAA
Tirs contre
367
36.70 Avg
Pourcentage en désavantage numérique
84.0%%
8 GA
Début de la zone défensive
40.4%
Informations de l'équipe

Directeur généralFrancois Juteau
EntraîneurGuy Carbonneau
DivisionJohn-Ahearne
ConférenceRobert-Lebel
CapitaineZac Dalpe
Assistant #1
Assistant #2Jared Knight


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure21
Limite contact 52 / 250
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
1Zac Dalpe (C)X100.007135777269787877737565667969623063710281950,000$
2Justin Bailey (R)X100.007334856379747173777185586654445250700222990,000$
3Austin WatsonX100.007528796768707470706771636855503453670251550,000$
4Jakub Vrana (R)X100.006538737165737270736572697446455229670212650,000$
5Jared Knight (A)X100.006921726673727668727270666553503463670251700,000$
6Joakim NordstromX100.007945666868667671636969605851503660660251600,000$
7Ryan Fitzgerald (R)X100.006743766670696874756367636648504563660234750,000$
8Marc Michaelis (R)X100.007139726862715767677168676148485645660221500,000$
9Trevor Moore (R)X100.007050797059726864766670577348485928660221500,000$
10Gerald Mayhew (R)X100.005642725762698076696079517755524464650251650,000$
11Richard Nejezchleb (R)X100.005746736567696463686674586047483749640232650,000$
12Vladimir Tkachev (R)X100.005444807157685961606173637049494727640222500,000$
13Carl Grundstrom (R)X100.006852846165706464646364636743457257640201500,000$
14Maxim Mamin (R)X100.006134767159666964686567596445464947630224750,000$
15Nathan Noel (R)X100.006539725177746755667571496246484429630221500,000$
16Alexandre Texier (R)X100.004930727051665668596566547240407728610182500,000$
17Alex Schoenborn (R)X100.006648625970587161566568464843434428600211650,000$
18Francis Perron (R)X100.005837696046556967707667376043434929600212550,000$
19Daniel Sprong (R)X100.005039746370686357595472416942425425590202650,000$
20Aaron NessX100.007139727472777272527570686368532934700271950,000$
21Dillon Heatherington (R)X100.006824866767707665496958815955454563690223800,000$
22Matt Grzelcyk (R)X100.006926717863687173477552705756494345670231800,000$
23Jesse Graham (R)X100.005543718066616768497059704945453838650231650,000$
24Victor Mete (R)X100.005036747759607174417561654942427131630191500,000$
25Tarmo Reunanen (R)X100.005841746664516058376653695443425739610191500,000$
Rayé
1Zachary Senyshyn (R)X100.004535726849555859616153487142425520560202500,000$
2Cameron Hughes (R)X100.005228665168595857585351444944445220530211550,000$
3Collin MillerX100.007228747065717175526670775767513628700251925,000$
MOYENNE D’ÉQUIPE100.00633774676567686762676760635047484164
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
1Connor Hellebyuk100.00737374707069676972807762503743700241900,000$
Rayé
1Maxime Lagace (R)100.00646265786775767470656647504562690242500,000$
2Peyton Jones (R)100.00556462536060635258615541416120580211500,000$
MOYENNE D’ÉQUIPE100.0064666767666869656769665047484266
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Carbonneau75915889437754CAN522750,000$


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
1Zac DalpeMonsters (Clb)C1061521-360172052151811.54%423023.0919106310002461049.48%38255101.8200000111
2Austin WatsonMonsters (Clb)RW106511-31601583771616.22%320620.6333610310000201175.00%2853001.0700000210
3Ryan FitzgeraldMonsters (Clb)C10651144014122631723.08%811111.1500000000000040.38%5244011.9700000200
4Aaron NessMonsters (Clb)D10369-2120261519101015.79%2027327.40303435000045110.00%0711000.6600000101
5Justin BaileyMonsters (Clb)LW10347-34014104112247.32%423123.141236310000461061.54%2683000.6100000000
6Dillon HeatheringtonMonsters (Clb)D10066-300172115060.00%1927827.83011235000052000.00%019000.4300000001
7Richard NejezchlebMonsters (Clb)RW10426400461751423.53%211111.1500000000001060.00%521001.0800000000
8Marc MichaelisMonsters (Clb)LW10156420135158136.67%111111.150000000000000.00%112001.0800000000
9Jakub VranaMonsters (Clb)LW10224140155259258.00%217217.221013231011240044.44%963000.4600000000
10Jared KnightMonsters (Clb)C1031406013142771411.11%215015.04101123000040053.85%9132000.5300000000
11Jesse GrahamMonsters (Clb)D10044-414051912560.00%1520320.36000020011030000.00%068000.3900000000
12Joakim NordstromMonsters (Clb)LW10123-340182126108.33%1666.6800000000000050.00%240000.9000000001
13Matt GrzelcykMonsters (Clb)D10033-380131610260.00%2020320.34000120011129000.00%025000.3000000000
14Maxim MaminMonsters (Clb)C10213-36062941122.22%1666.6400000000000054.55%2241000.9000000000
15Victor MeteMonsters (Clb)D101235602452420.00%411911.920000000002000.00%001000.5000000000
16Tarmo ReunanenMonsters (Clb)D10033520383120.00%312812.8200000000012000.00%004000.4700000010
17Gerald MayhewMonsters (Clb)RW10213060810136715.38%114414.42000023000000060.00%511000.4200000000
18Carl GrundstromMonsters (Clb)RW10011-300424210.00%1666.6000000000000050.00%412000.3000000000
19Alex SchoenbornMonsters (Clb)RW10000000000000.00%020.230000000000000.00%000000.00%00000000
20Francis PerronMonsters (Clb)LW10000000000000.00%0121.2600000000011000.00%000000.00%00000000
21Vladimir TkachevMonsters (Clb)LW10000000000000.00%030.390000100000000.00%000000.00%00000000
22Trevor MooreMonsters (Clb)LW10000000200000.00%060.6200001000000050.00%400000.00%00000000
23Nathan NoelMonsters (Clb)C10000100210000.00%1212.13000000000190030.00%1000000.00%00000000
Statistiques d’équipe totales ou en moyenne2304068108-6100021118034210420411.70%112292212.701015253328112343455250.86%6416065110.7400000634
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
1Maxime LagaceMonsters (Clb)105500.8904.075600038347169000.00%0100100
2Connor HellebyukMonsters (Clb)10000.9501.50400012013000.00%0010000
Statistiques d’équipe totales ou en moyenne115500.8943.8960100393671820001010100


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
Aaron NessMonsters (Clb)D271990-01-01No182 Lbs5 ft10NoNoNo1Pro & Farm950,000$0$0$No
Alex SchoenbornMonsters (Clb)RW211996-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien
Alexandre TexierMonsters (Clb)RW181999-01-01Yes186 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Austin WatsonMonsters (Clb)RW251992-01-01No193 Lbs6 ft4NoNoNo1Pro & Farm550,000$0$0$No
Cameron HughesMonsters (Clb)C211996-01-01Yes195 Lbs5 ft11NoNoNo1Pro & Farm550,000$0$0$NoLien
Carl GrundstromMonsters (Clb)RW201997-01-01Yes194 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Collin MillerMonsters (Clb)D251992-01-01No175 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien
Connor HellebyukMonsters (Clb)G241993-01-01No185 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$NoLien
Daniel SprongMonsters (Clb)RW201997-01-01Yes191 Lbs5 ft11NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Dillon HeatheringtonMonsters (Clb)D221995-01-01Yes185 Lbs6 ft4NoNoNo3Pro & Farm800,000$0$0$No900,000$975,000$Lien
Francis PerronMonsters (Clb)LW211996-01-01Yes178 Lbs6 ft2NoNoNo2Pro & Farm550,000$0$0$No550,000$Lien
Gerald MayhewMonsters (Clb)RW251992-01-01Yes161 Lbs6 ft4NoNoNo1Pro & Farm650,000$0$0$NoLien
Jakub VranaMonsters (Clb)LW211996-01-01Yes197 Lbs6 ft0NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Jared KnightMonsters (Clb)C251992-01-01No203 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
Jesse GrahamMonsters (Clb)D231994-01-01Yes170 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$No
Joakim NordstromMonsters (Clb)LW251992-01-01No189 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Justin BaileyMonsters (Clb)LW221995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm990,000$0$0$No990,000$Lien
Marc MichaelisMonsters (Clb)LW221995-01-01Yes187 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Matt GrzelcykMonsters (Clb)D231994-01-01Yes171 Lbs5 ft9NoNoNo1Pro & Farm800,000$0$0$NoLien
Maxim MaminMonsters (Clb)C221995-01-01Yes185 Lbs6 ft1NoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Lien
Maxime LagaceMonsters (Clb)G241993-01-01Yes190 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nathan NoelMonsters (Clb)C221995-01-01Yes209 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Peyton JonesMonsters (Clb)G211996-01-01Yes209 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLien
Richard NejezchlebMonsters (Clb)RW231994-01-01Yes187 Lbs5 ft11NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Ryan FitzgeraldMonsters (Clb)C231994-01-01Yes185 Lbs5 ft10NoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Lien
Tarmo ReunanenMonsters (Clb)D191998-01-01Yes179 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Trevor MooreMonsters (Clb)LW221995-01-01Yes174 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$NoLien
Victor MeteMonsters (Clb)D191998-01-01Yes183 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$NoLien
Vladimir TkachevMonsters (Clb)LW221995-01-01Yes165 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Zac DalpeMonsters (Clb)C281989-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm950,000$0$0$No
Zachary SenyshynMonsters (Clb)RW201997-01-01Yes192 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3122.42187 Lbs6 ft01.55650,484$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin BaileyZac DalpeAustin Watson40122
2Jakub VranaJared KnightGerald Mayhew30122
3Marc MichaelisRyan FitzgeraldRichard Nejezchleb20122
4Joakim NordstromMaxim MaminCarl Grundstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessDillon Heatherington40122
2Matt GrzelcykJesse Graham30122
3Victor MeteTarmo Reunanen20122
4Aaron NessDillon Heatherington10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin BaileyZac DalpeAustin Watson60122
2Jakub VranaJared KnightGerald Mayhew40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessDillon Heatherington60122
2Matt GrzelcykJesse Graham40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zac DalpeJustin Bailey60122
2Austin WatsonJakub Vrana40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessDillon Heatherington60122
2Matt GrzelcykJesse Graham40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zac Dalpe60122Aaron NessDillon Heatherington60122
2Justin Bailey40122Matt GrzelcykJesse Graham40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zac DalpeJustin Bailey60122
2Austin WatsonJakub Vrana40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessDillon Heatherington60122
2Matt GrzelcykJesse Graham40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin BaileyZac DalpeAustin WatsonAaron NessDillon Heatherington
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin BaileyZac DalpeAustin WatsonAaron NessDillon Heatherington
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Trevor Moore, Vladimir Tkachev, Nathan NoelTrevor Moore, Vladimir TkachevNathan Noel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Victor Mete, Tarmo Reunanen, Matt GrzelcykVictor MeteTarmo Reunanen, Matt Grzelcyk
Tirs de pénalité
Zac Dalpe, Justin Bailey, Austin Watson, Jakub Vrana, Jared Knight
Gardien
#1 : , #2 : Connor Hellebyuk


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
1Condors54100000211742110000056-1330000001611580.8002138590013121411771181181051181664010313323.08%20195.00%012121556.28%11825945.56%8716752.10%2121192139317684
2Icehogs514000001922-321100000990303000001013-320.2001930490013121411651181181051186466010824729.17%30776.67%112121556.28%11825945.56%8716752.10%2121192139317684
Total10550000040391422000001415-16330000026242100.50040681080013121413421181181051367112100211371027.03%50884.00%112121556.28%11825945.56%8716752.10%2121192139317684
_Since Last GM Reset10550000040391422000001415-16330000026242100.50040681080013121413421181181051367112100211371027.03%50884.00%112121556.28%11825945.56%8716752.10%2121192139317684
_Vs Conference10550000040391422000001415-16330000026242100.50040681080013121413421181181051367112100211371027.03%50884.00%112121556.28%11825945.56%8716752.10%2121192139317684
_Vs Division514000001922-321100000990303000001013-320.2001930490013121411651181181051186466010824729.17%30776.67%112121556.28%11825945.56%8716752.10%2121192139317684

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1010L1406810834236711210021100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
105500004039
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001415
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63300002624
Derniers 10 matchs
WLOTWOTL SOWSOL
451000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
371027.03%50884.00%1
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
11811810511312141
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
12121556.28%11825945.56%8716752.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2121192139317684


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 - 2022-10-272Monsters6Condors3AWSommaire du match
2 - 2022-10-2810Monsters4Condors3AWXSommaire du match
3 - 2022-10-2918Condors1Monsters3BWSommaire du match
4 - 2022-10-3026Condors5Monsters2BLSommaire du match
5 - 2022-10-3134Monsters6Condors5AWSommaire du match
8 - 2022-11-0357Monsters3Icehogs4ALSommaire du match
9 - 2022-11-0461Monsters5Icehogs6ALSommaire du match
10 - 2022-11-0565Icehogs6Monsters4BLSommaire du match
11 - 2022-11-0669Icehogs3Monsters5BWSommaire du match
12 - 2022-11-0773Monsters2Icehogs3ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance8,0004,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 3000 - 100.00% 89,250$357,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,016,500$ 1,926,500$ 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$ 0 0$ 0$




Monsters 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

Monsters 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

Monsters 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

Monsters 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

Monsters 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