Moose
GP: 14 | W: 7 | L: 7
GF: 50 | GA: 50 | PP%: 18.92% | PK%: 74.36%
DG: Sam Vienneau | Morale : 75 | Moyenne d’équipe : 62
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Stars
16-8-0, 32pts
2
FINAL
5 Moose
7-7-0, 14pts
Team Stats
W3StreakOTL1
11-3-0Home Record4-3-0
5-5-0Away Record3-4-0
7-3-0Last 10 Games5-3-2
3.42Buts par match 3.57
2.71Buts contre par match 3.57
18.42%Pourcentage en avantage numérique18.92%
83.05%Pourcentage en désavantage numérique74.36%
Moose
7-7-0, 14pts
3
FINAL
4 Stars
16-8-0, 32pts
Team Stats
OTL1StreakW3
4-3-0Home Record11-3-0
3-4-0Away Record5-5-0
5-3-2Last 10 Games7-3-0
3.57Buts par match 3.42
3.57Buts contre par match 2.71
18.92%Pourcentage en avantage numérique18.42%
74.36%Pourcentage en désavantage numérique83.05%
Meneurs d'équipe
Sam MontembeaultVictoires
Sam Montembeault
7
Sam MontembeaultPourcentage d’arrêts
Sam Montembeault
0.912

Statistiques d’équipe
Buts pour
50
3.57 GFG
Tirs pour
507
36.21 Avg
Pourcentage en avantage numérique
18.9%
7 GF
Début de zone offensive
38.5%
Buts contre
50
3.57 GAA
Tirs contre
544
38.86 Avg
Pourcentage en désavantage numérique
74.4%
10 GA
Début de la zone défensive
43.6%
Information d’équipe

Directeur généralSam Vienneau
EntraîneurDerek Lalonde
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 80
Espoirs16


Historique d'équipe

Saison actuelle7-7
Historique94-60-14 (0.560%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)7-7
Stanley Cup0


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
1Alexander True0X100.00773682658980876470636066636567075650252800,000$
2Joshua Ho-Sang0X100.00583682676981756953686657686667075640261900,000$
3Alex Nylander0XX100.006037946776879566626264596764660756402421,714,000$
4Max Willman0X100.00653979647184876168586260616769075630271700,000$
5T.J. Tynan0XXX100.005934916560818464796559646670720756303031,000,000$
6Brandon Biro (R)0X100.00673688626680726266635859626466075620242925,000$
7Brian Pinho0X100.00643794627584666080596158596769075620272925,000$
8Dave Gust0X100.00563788576585865962606155596870075610281700,000$
9Emilio Pettersen (R)0X100.00573791596676865861596055586264075600222925,000$
10Ryan McGregor (R)0XX100.00593788596872695866605657586365075600232925,000$
11Stephen Harper (R)0X100.00733894548273685358545557536769075600273950,000$
12Vladislav Kolyachonok (R)0X100.00673790627682816030615859526163075620212925,000$
13Guillaume Brisebois (R)0X100.00633892647570656330625963506567075620252954,000$
14Keaton Middleton (R)0X100.00844566589968745730565558506466075610241700,000$
15Nick DeSimone0X100.00683989587877895730625258466870075610283850,000$
16Ryan Jones (R)0X100.00693678577967915630555453456668075600262750,000$
17Nick Wolff (R)0X100.00867361549569645330565061456668075590262750,000$
Rayé
1Josh Leivo0XX100.00683988677981836763656862666972075660292750,000$
2Ross Johnston0X100.009085686196757459556357586269710756302811,100,000$
3Christopher Brown (R)0X100.00613793537076655458555653566668075580261700,000$
4Matthew Boudens0X100.00623563557165605361565153566971075570291700,000$
5Marc Del Gaizo (R)0X100.00593781616972835830575554456365075590233950,000$
MOYENNE D’ÉQUIPE100.0067418461767777605360585857666807561
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
1Sam Montembeault (R)100.0077908683777677767677766675075670262961,400$
2Aaron Dell100.00758182777473747373747375870756603312,200,000$
Rayé
MOYENNE D’ÉQUIPE100.007686848076757675757675718107567
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Derek Lalonde68747459746976USA502950,000$


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
1Alex NylanderMoose (WPG)LW/RW14791670093058264912.07%030021.50011338000012134.62%2600001.0600000121
2T.J. TynanMoose (WPG)C/LW/RW1496151060176252143417.31%530621.922138280001241150.92%37900000.9800000022
3Josh LeivoMoose (WPG)LW/RW11591462028245312379.43%525623.341017270000321057.14%2100001.0900000120
4Brandon BiroMoose (WPG)LW14461004012133283212.50%227319.530334280000180042.86%2100000.7300000002
5Alexander TrueMoose (WPG)C144610-31005146418359.76%832122.930225370001391152.60%50000000.6200000100
6Guillaume BriseboisMoose (WPG)D1437105140151924101212.50%2435725.50101837000030000.00%000000.5600000101
7Joshua Ho-SangMoose (WPG)RW14369-12015294615296.52%024917.79123628000000040.00%1000000.7200000000
8Vladislav KolyachonokMoose (WPG)D141894802819187175.56%1636225.92011438000032000.00%000000.5000000001
9Nick DeSimoneMoose (WPG)D14369400413195615.79%3032022.89101829000033000.00%000000.5600000000
10Emilio PettersenMoose (WPG)LW145165204122151223.81%2976.9500000000002035.71%1400011.2300000100
11Brian PinhoMoose (WPG)C14246520916275177.41%0976.9800000000000058.33%12000001.2300000000
12Nick WolffMoose (WPG)D14145-613534714147.14%1921915.680000000002000.00%000000.4600001000
13Ryan JonesMoose (WPG)D14044-5005512070.00%1723716.9400000000016000.00%000000.3400000000
14Keaton MiddletonMoose (WPG)D140334200509103100.00%2330221.58011429000021000.00%000000.2000000000
15Max WillmanMoose (WPG)C14033-82013153313190.00%118413.1501122000050045.85%20500000.3300000000
16Ryan McGregorMoose (WPG)C/LW14303-10001182092115.00%517012.1810110000000033.33%900000.3500000010
17Dave GustMoose (WPG)RW1401156051116980.00%1976.9700000000000033.33%300000.2100000000
18Stephen HarperMoose (WPG)C14000-1080129117130.00%516912.1200000000000038.46%1300000.0000000000
Statistiques d’équipe totales ou en moyenne2495083133129953123575071573629.86%163432317.37712196032600022607350.57%132100010.6200001577
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
1Sam MontembeaultMoose (WPG)147430.9123.1384301445010100.0000140201
2Aaron DellMoose (WPG)20000.8606.3257006430000.0000014000
Statistiques d’équipe totales ou en moyenne167430.9083.3390001505440100.00001414201


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 moyenSalaire moyen 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 Dell (contrat à 1 volet)Moose (WPG)G335/4/1989No213 Lbs6 ft0NoNoNo1Pro & Farm2,200,000$2,200,000$2,200,000$0$NoLien / Lien NHL
Alex Nylander (contrat à 1 volet)Moose (WPG)LW/RW243/2/1998No192 Lbs6 ft1NoNoNo2Pro & Farm1,714,000$1,714,000$1,714,000$0$No1,714,000$Lien / Lien NHL
Alexander TrueMoose (WPG)C257/17/1997No200 Lbs6 ft5NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Brandon BiroMoose (WPG)LW243/11/1998Yes170 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Brian PinhoMoose (WPG)C275/11/1995No190 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Christopher BrownMoose (WPG)C262/22/1996Yes179 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Dave GustMoose (WPG)RW282/21/1994No174 Lbs5 ft10NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Emilio PettersenMoose (WPG)LW224/3/2000Yes170 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Guillaume BriseboisMoose (WPG)D257/21/1997Yes175 Lbs6 ft2NoNoNo2Pro & Farm954,000$954,000$0$0$No954,000$Lien / Lien NHL
Josh LeivoMoose (WPG)LW/RW295/26/1993No192 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Joshua Ho-SangMoose (WPG)RW261/22/1996No173 Lbs6 ft0NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Keaton MiddletonMoose (WPG)D242/10/1998Yes240 Lbs6 ft6NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Marc Del GaizoMoose (WPG)D2310/11/1999Yes188 Lbs5 ft10NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Matthew BoudensMoose (WPG)C299/13/1993No195 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Max WillmanMoose (WPG)C272/13/1995No184 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Nick DeSimoneMoose (WPG)D2811/21/1994No190 Lbs6 ft2NoNoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$Lien / Lien NHL
Nick WolffMoose (WPG)D267/21/1996Yes229 Lbs6 ft5NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Ross Johnston (contrat à 1 volet)Moose (WPG)LW282/18/1994No232 Lbs6 ft5NoNoNo1Pro & Farm1,100,000$1,100,000$1,100,000$0$NoLien / Lien NHL
Ryan JonesMoose (WPG)D265/26/1996Yes186 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Ryan McGregorMoose (WPG)C/LW231/29/1999Yes168 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Sam MontembeaultMoose (WPG)G2610/30/1996Yes199 Lbs6 ft3NoNoNo2Pro & Farm961,400$961,400$0$0$No961,400$Lien / Lien NHL
Stephen HarperMoose (WPG)C273/25/1995Yes210 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
T.J. Tynan (contrat à 1 volet)Moose (WPG)C/LW/RW302/25/1992No160 Lbs5 ft8NoNoNo3Pro & Farm1,000,000$1,000,000$1,000,000$0$No1,000,000$1,000,000$Lien / Lien NHL
Vladislav KolyachonokMoose (WPG)D215/26/2001Yes193 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2426.13192 Lbs6 ft11.83948,100$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1T.J. TynanAlex Nylander40023
2Brandon BiroAlexander TrueJoshua Ho-Sang30212
3Ryan McGregorMax WillmanStephen Harper20122
4Emilio PettersenBrian PinhoDave Gust10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokGuillaume Brisebois40122
2Keaton MiddletonNick DeSimone30122
3Ryan JonesNick Wolff20122
4Vladislav KolyachonokGuillaume Brisebois10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander TrueAlex Nylander60122
2Brandon BiroT.J. TynanJoshua Ho-Sang40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokGuillaume Brisebois60122
2Keaton MiddletonNick DeSimone40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexander True60122
2T.J. TynanBrandon Biro40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokGuillaume Brisebois60122
2Keaton MiddletonNick DeSimone40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alexander True60122Vladislav KolyachonokGuillaume Brisebois60122
2T.J. Tynan40122Keaton MiddletonNick DeSimone40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexander True60122
2T.J. TynanBrandon Biro40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokGuillaume Brisebois60122
2Keaton MiddletonNick DeSimone40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander TrueAlex NylanderVladislav KolyachonokGuillaume Brisebois
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander TrueAlex NylanderVladislav KolyachonokGuillaume Brisebois
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
T.J. Tynan, Max Willman, Brandon BiroT.J. Tynan, Max WillmanT.J. Tynan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick DeSimone, Ryan Jones, Nick WolffNick DeSimoneNick DeSimone, Ryan Jones
Tirs de pénalité
, Alexander True, Alex Nylander, Joshua Ho-Sang, T.J. Tynan
Gardien
#1 : Sam Montembeault, #2 : Aaron Dell
Lignes d’attaque personnalisées en prolongation
, Alexander True, Alex Nylander, Joshua Ho-Sang, T.J. Tynan, Max Willman, Max Willman, Brandon Biro, Brian Pinho, Dave Gust, Ryan McGregor
Lignes de défense personnalisées en prolongation
Vladislav Kolyachonok, Guillaume Brisebois, Keaton Middleton, Nick DeSimone, Ryan Jones


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
1Eagles7430000028244413000001619-333000000125780.57128487600171219225715214118628278795716017423.53%19573.68%025351349.32%30258052.07%11523848.32%34824336210819091
2Stars734000002226-433000000136740400000920-1160.42922355701171219225015214118628266844215320315.00%20575.00%025351349.32%30258052.07%11523848.32%34824336210819091
Total147700000505007430000029254734000002125-4140.5005083133011712192507152141186285441639931337718.92%391074.36%025351349.32%30258052.07%11523848.32%34824336210819091
_Since Last GM Reset147700000505007430000029254734000002125-4140.5005083133011712192507152141186285441639931337718.92%391074.36%025351349.32%30258052.07%11523848.32%34824336210819091
_Vs Conference147700000505007430000029254734000002125-4140.5005083133011712192507152141186285441639931337718.92%391074.36%025351349.32%30258052.07%11523848.32%34824336210819091
_Vs Division140000000505007000000029254700000002125-400.0005083133011712192507152141186285441639931337718.92%391074.36%025351349.32%30258052.07%11523848.32%34824336210819091

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1414OTL150831335075441639931301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
147700005050
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74300002925
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73400002125
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
37718.92%391074.36%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
152141186281712192
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
25351349.32%30258052.07%11523848.32%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
34824336210819091


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
2 - 2023-04-147Eagles5Moose4BLXSommaire du match
4 - 2023-04-1615Eagles8Moose5BLSommaire du match
6 - 2023-04-1823Moose5Eagles1AWSommaire du match
8 - 2023-04-2031Moose4Eagles3AWXSommaire du match
10 - 2023-04-2239Eagles5Moose3BLSommaire du match
12 - 2023-04-2447Moose3Eagles1AWSommaire du match
14 - 2023-04-2655Eagles1Moose4BWSommaire du match
16 - 2023-04-2860Moose1Stars8ALSommaire du match
18 - 2023-04-3064Moose2Stars4ALSommaire du match
20 - 2023-05-0268Stars4Moose5BWXSommaire du match
22 - 2023-05-0472Stars0Moose3BWSommaire du match
24 - 2023-05-0676Moose3Stars4ALXSommaire du match
26 - 2023-05-0880Stars2Moose5BWSommaire du match
28 - 2023-05-1084Moose3Stars4ALXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance14,0007,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 3000 - 100.00% 81,250$568,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,674,040$ 1,674,040$ 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$




Moose 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
1Alexander True1166186147207635238847712.79%34252921.8113263970112411556.76%51.1601
2Brian Pinho164554710282711233444412.39%55236314.4166124910186355.21%30.8623
3Guillaume Brisebois131207494-113610916719910.05%188275021.0071522810112310.00%00.6800
4Joshua Ho-Sang8555399428126317638014.47%13177120.85617235601187543.92%31.0600
5T.J. Tynan8041468715127727929513.90%25157419.69128205900018257.10%01.1000

Moose 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
1Sam Montembeault73412220.8953.6240072124223120220.0000
2Dustin Tokarski82403280.9103.4747508327530680430.79224
3Aaron Dell2313600.9142.75113600526040100.0000

Moose 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
Saison régulière
2382313305652284293-941161501342146142441151804310138151-139028448576932881068014285592192896861319290756421102365322.46%2645280.30%11472292750.29%1559324348.07%695136350.99%1915133020255891037511
202282462707200341283584122150310018314934412412041001581342410834161695722142102907319610211034112516279784251518512455823.67%1874774.87%11707309755.12%1555287854.03%794143655.29%2023143618755691033521
Total Saison régulière16477600128526255764982383004442329291388239300841029628511198625110117265423020817021605119421962209377598917491079396148111123.08%4519978.05%23179602452.77%3114612150.87%1489279953.20%393927673900115920711032
2022147700000505007430000029254734000002125-4145083133011712192507152141186285441639931337718.92%391074.36%025351349.32%30258052.07%11523848.32%34824336210819091
Total Séries éliminatoires147700000505007430000029254734000002125-4145083133011712192507152141186285441639931337718.92%391074.36%025351349.32%30258052.07%11523848.32%34824336210819091

Moose 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
1Alex Nylander147916709305812.07%030021.50011300002134.62%01.0600
2T.J. Tynan14961510617625217.31%530621.92213800011150.92%00.9800
3Josh Leivo115914622824539.43%525623.34101700001057.14%01.0900
4Brandon Biro1446100412133212.50%227319.53033400000042.86%00.7300
5Alexander True144610-3105146419.76%832122.93022500011152.60%00.6200

Moose 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
1Sam Montembeault147430.9123.1384301445010100.0000
2Aaron Dell20000.8606.3257006430000.0000