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Connexion

Moose
GP: 1 | W: 0 | L: 0 | OTL: 1 | P: 1
GF: 2 | GA: 3 | PP%: 25.00% | PK%: 85.71%
DG: Emmanuel Perreault-Rheault | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #16 vs Rocket
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Centre de jeu
Sound Tigers
1-0-0, 2pts
3
FINAL
2 Moose
0-0-1, 1pts
Team Stats
W1StreakOTL1
0-0-0Home Record0-0-1
1-0-0Away Record0-0-0
1-0-0Last 10 Games0-0-1
3.00Buts par match 2.00
2.00Buts contre par match 3.00
14.29%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique85.71%
Moose
0-0-1, 1pts
2022-10-13
Rocket
0-1-0, 0pts
Statistiques d’équipe
OTL1SéquenceL1
0-0-1Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
0-0-110 derniers matchs0-1-0
2.00Buts par match 1.00
3.00Buts contre par match 1.00
25.00%Pourcentage en avantage numérique16.67%
85.71%Pourcentage en désavantage numérique80.00%
Stars
1-1-0, 2pts
2022-10-15
Moose
0-0-1, 1pts
Statistiques d’équipe
W1SéquenceOTL1
0-1-0Fiche domicile0-0-1
1-0-0Fiche visiteur0-0-0
1-1-010 derniers matchs0-0-1
2.50Buts par match 2.00
2.50Buts contre par match 2.00
33.33%Pourcentage en avantage numérique25.00%
82.35%Pourcentage en désavantage numérique85.71%
Moose
0-0-1, 1pts
2022-10-16
Wolves
1-0-0, 2pts
Statistiques d’équipe
OTL1SéquenceW1
0-0-1Fiche domicile0-0-0
0-0-0Fiche visiteur1-0-0
0-0-110 derniers matchs1-0-0
2.00Buts par match 3.00
3.00Buts contre par match 3.00
25.00%Pourcentage en avantage numérique0.00%
85.71%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Alex Galchenyuk
1
Passes
Sami Niku
1
Points
Alex Galchenyuk
1
Plus/Moins
Alex Galchenyuk
1
Victoires
Carey Price
0
Pourcentage d’arrêts
Carey Price
0.8

Statistiques d’équipe
Buts pour
2
2.00 GFG
Tirs pour
11
11.00 Avg
Pourcentage en avantage numérique
25.0%
1 GF
Début de zone offensive
26.6%
Buts contre
3
3.00 GAA
Tirs contre
15
15.00 Avg
Pourcentage en désavantage numérique
85.7%
1 GA
Début de la zone défensive
43.8%
Informations de l'équipe

Directeur généralEmmanuel Perreault-Rheault
EntraîneurSheldon Keefe
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,801
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite contact 49 / 60
Espoirs14


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
1Alex Galchenyuk97XX100.007644847471657665797059646275776650002821,050,000$
2Cody Eakin82X100.006542898071668358956157782577776550003111,000,000$
3Cole Smith (R)36X100.00914699657453715526505574254444635000264750,000$
4Lukas Reichel (R)27XX100.005540997564656168535955622545456150002041,337,500$
5Jujhar Khaira16XX100.009870857881666161655060802564656750002831,200,000$
6Logan Shaw85XX100.006743957377547261766157782560606650002911,000,000$
7Michael Raffl18XXX100.008445927673688661516159837572746850003311,000,000$
8Pierre-Edouard Bellemare41X100.007654918072679260886260862572756950003711,800,000$
9Mathieu Olivier25X100.00889962648056696025605578254849635000251750,000$
10Chase De Leo46XX100.00726589666571736880656567625555685000261650,000$
11Jason Dickinson68XX100.008155908575648259576058772566666750002742,650,000$
12Dryden Hunt29X100.00855980727063776033625862416363645000264762,500$
13Scott Perunovich (R)48X100.006140877862675176256547612545456050002432,175,000$
14Sami Niku54X100.00654194756667577625704772255252645000251750,000$
15Ilya Lyubushkin72X100.008956817675748560255248852563636450002832,850,000$
16Kris Russell4X100.007643957262676157255748845181846350003514,000,000$
17Tucker Poolman37X100.007143907873726559254448842560616150002933,500,000$
18Matt Kiersted (R)73X100.007543937167646657254950782545456250002421,350,000$
19Robert Bortuzzo42X100.008360857482638258254647852569716250003321,375,000$
Rayé
1Justin Richards (R)90X100.007569896369596249614647614544445450002421,425,000$
2David Cotton83X100.007975886575586051644751634844445750002521,350,000$
3Kyle Olson (R)86X100.00676473636461645350465658534444575000232950,000$
4Wyatt Kalynuk (R)45X100.006968717268666955254946604446465650002521,775,000$
5Ben Harpur71X100.00849962659163585525444778256263595000272725,000$
MOYENNE D’ÉQUIPE100.0076578673726470604756537336585963500
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
1Aaron Dell100.0064474975765283646563755858655000333750,000$
2Carey Price100.00475366854592455190814578836450003511,000,000$
Rayé
1Alexei Melnichuk (R)100.0045496175424450524546304444475000243925,000$
2Adam Huska100.00514556875250535752523044445250002511,000,000$
3Olle Eriksson Ek (R)100.00454050774546505249493044444750002311,000,000$
4Joel Blomqvist (R)100.0044405072454445494545454444455000201650,000$
MOYENNE D’ÉQUIPE100.004946557951555454585643525353500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe78818482757085CAN4131,000,000$


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 GalchenyukMoose (WPG)C/LW11011000130133.33%01818.6000002000040018.601900001.0800000000
2Sami NikuMoose (WPG)D1011000010000.00%22020.670000200005000.00%000000.9700000000
3Kris RussellMoose (WPG)D1011000010000.00%01818.550110300006000.00%000001.0800000000
4Michael RafflMoose (WPG)C/LW/RW1011000121110.00%01919.0301103000060019.03400001.0500000000
5Pierre-Edouard BellemareMoose (WPG)C1101-10016101100.00%02323.0810112000060023.082300000.8700000000
6Mathieu OlivierMoose (WPG)RW1011100112100.00%01414.870000200000000.00%000001.3500000000
7Noah CatesJetsLW1000-120010010.00%01515.0800000000010015.08100000.00%00000000
8Cody EakinMoose (WPG)C1000-100021010.00%01717.6800000000040017.681100000.00%00000000
9Cole SmithMoose (WPG)LW1000000000000.00%011.050000000000000.00%000000.00%00000000
10Lukas ReichelMoose (WPG)LW/RW1000-100000000.00%01313.220000000000000.00%100000.00%00000000
11Scott PerunovichMoose (WPG)D1000000010000.00%01818.620000000003000.00%000000.00%00000000
12Ilya LyubushkinMoose (WPG)D1000-140300000.00%22121.900000300004000.00%000000.00%00000000
13Jujhar KhairaMoose (WPG)C/LW1000-120200000.00%077.430000000000007.43300000.00%00000000
14Logan ShawMoose (WPG)C/RW1000000111010.00%01212.250000300000000.00%000000.00%00000000
15Tucker PoolmanMoose (WPG)D1000020200000.00%01515.020000000000000.00%000000.00%00000000
16Matt KierstedMoose (WPG)D1000-100000000.00%077.020000000000000.00%000000.00%00000000
17Robert BortuzzoMoose (WPG)D1000020230000.00%01919.200000200004000.00%000000.00%00000000
18Chase De LeoMoose (WPG)C/LW1000-100020000.00%077.450000000000000.00%000000.00%00000000
19Jason DickinsonMoose (WPG)C/LW1000100012020.00%01414.870000200000000.00%000000.00%00000000
20Dryden HuntMoose (WPG)LW1000020000010.00%033.630000000000000.00%200000.00%00000000
Statistiques d’équipe totales ou en moyenne20246-51401323112918.18%428914.461231280000470054.69%6400000.4100000000
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
1Carey PriceMoose (WPG)10010.8003.0060003150000.00%010000
Statistiques d’équipe totales ou en moyenne10010.8003.006000315000010000


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 DellMoose (WPG)G331989-05-04No209 Lbs6 ft0YesNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
Adam HuskaMoose (WPG)G251997-05-12No218 Lbs6 ft4YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Alex GalchenyukMoose (WPG)C/LW281994-02-11No194 Lbs6 ft1NoNoNo2Pro & Farm1,050,000$1,021,233$1,050,000$1,021,233$0$0$No1,050,000$Lien
Alexei MelnichukMoose (WPG)G241998-06-28Yes190 Lbs6 ft2NoNoNo3Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$925,000$Lien
Ben HarpurMoose (WPG)D271995-01-11No231 Lbs6 ft6NoNoNo2Pro & Farm725,000$705,137$725,000$705,137$0$0$No725,000$Lien
Carey PriceMoose (WPG)G351987-08-15No220 Lbs6 ft3YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Chase De LeoMoose (WPG)C/LW261995-10-24No186 Lbs5 ft9NoNoNo1Pro & Farm650,000$632,192$650,000$632,192$0$0$NoLien
Cody EakinMoose (WPG)C311991-05-23No196 Lbs6 ft0YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Cole SmithMoose (WPG)LW261995-10-28Yes195 Lbs6 ft3NoNoNo4Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$750,000$Lien
David CottonMoose (WPG)C251997-07-09No201 Lbs6 ft2NoNoNo2Pro & Farm1,350,000$1,313,014$1,350,000$1,313,014$0$0$No1,350,000$Lien
Dryden HuntMoose (WPG)LW261995-11-24No193 Lbs6 ft0NoNoNo4Pro & Farm762,500$741,610$762,500$741,610$0$0$No762,500$762,500$762,500$Lien
Ilya LyubushkinMoose (WPG)D281994-04-06No201 Lbs6 ft2YesNoNo3Pro & Farm2,850,000$2,771,918$2,850,000$2,771,918$0$0$No2,850,000$2,850,000$Lien
Jason DickinsonMoose (WPG)C/LW271995-07-04No200 Lbs6 ft2NoNoNo4Pro & Farm2,650,000$2,577,397$2,650,000$2,577,397$0$0$No2,650,000$2,650,000$2,650,000$Lien
Joel BlomqvistMoose (WPG)G202002-01-10Yes183 Lbs6 ft2NoNoNo1Pro & Farm650,000$632,192$650,000$632,192$0$0$No
Jujhar KhairaMoose (WPG)C/LW281994-08-13No212 Lbs6 ft4NoNoNo3Pro & Farm1,200,000$1,167,123$1,200,000$1,167,123$0$0$No1,200,000$1,200,000$Lien
Justin RichardsMoose (WPG)C241998-03-17Yes190 Lbs5 ft11NoNoNo2Pro & Farm1,425,000$1,385,959$1,425,000$1,385,959$0$0$No1,425,000$Lien
Kris RussellMoose (WPG)D351987-05-02No170 Lbs5 ft10NoNoNo1Pro & Farm4,000,000$3,890,411$4,000,000$3,890,411$0$0$NoLien
Kyle OlsonMoose (WPG)RW231999-03-22Yes179 Lbs5 ft11NoNoNo2Pro & Farm950,000$923,973$450,000$437,671$0$0$No950,000$Lien
Logan ShawMoose (WPG)C/RW291992-10-05No208 Lbs6 ft3YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Lukas ReichelMoose (WPG)LW/RW202002-05-17Yes170 Lbs6 ft0NoNoNo4Pro & Farm1,337,500$1,300,856$1,337,500$1,300,856$0$0$No1,337,500$1,337,500$1,337,500$
Mathieu OlivierMoose (WPG)RW251997-02-11No209 Lbs6 ft2NoNoNo1Pro & Farm750,000$729,452$750,000$729,452$0$0$NoLien
Matt KierstedMoose (WPG)D241998-04-14Yes181 Lbs6 ft0NoNoNo2Pro & Farm1,350,000$1,313,014$1,350,000$1,313,014$0$0$No1,350,000$Lien
Michael RafflMoose (WPG)C/LW/RW331988-12-01No200 Lbs6 ft0YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Olle Eriksson EkMoose (WPG)G231999-06-22Yes189 Lbs6 ft3YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Pierre-Edouard BellemareMoose (WPG)C371985-03-06No198 Lbs6 ft0NoNoNo1Pro & Farm1,800,000$1,750,685$1,800,000$1,750,685$0$0$NoLien
Robert BortuzzoMoose (WPG)D331989-03-18No216 Lbs6 ft4YesNoNo2Pro & Farm1,375,000$1,337,329$1,375,000$1,337,329$0$0$No1,375,000$Lien
Sami NikuMoose (WPG)D251996-10-10No176 Lbs6 ft1NoNoNo1Pro & Farm750,000$729,452$750,000$729,452$0$0$NoLien
Scott PerunovichMoose (WPG)D241998-08-18Yes174 Lbs5 ft10NoNoNo3Pro & Farm2,175,000$2,115,411$2,175,000$2,115,411$0$0$No2,175,000$2,175,000$
Tucker PoolmanMoose (WPG)D291993-06-08No199 Lbs6 ft2YesNoNo3Pro & Farm3,500,000$3,404,110$3,500,000$3,404,110$0$0$No3,500,000$3,500,000$Lien
Wyatt KalynukMoose (WPG)D251997-04-14Yes180 Lbs6 ft1NoNoNo2Pro & Farm1,775,000$1,726,370$1,775,000$1,726,370$0$0$No1,775,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3027.27196 Lbs6 ft12.071,383,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael RafflPierre-Edouard BellemareLogan Shaw35122
2Jason DickinsonAlex GalchenyukMathieu Olivier30122
3Jujhar KhairaCody EakinLukas Reichel25122
4Chase De LeoJujhar KhairaPierre-Edouard Bellemare10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinKris Russell35122
2Robert BortuzzoSami Niku30122
3Tucker PoolmanScott Perunovich25122
4Matt KierstedIlya Lyubushkin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael RafflPierre-Edouard BellemareLogan Shaw60122
2Jason DickinsonAlex GalchenyukMathieu Olivier40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinKris Russell60122
2Robert BortuzzoSami Niku40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Pierre-Edouard BellemareMichael Raffl60122
2Alex GalchenyukCody Eakin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinKris Russell60122
2Robert BortuzzoSami Niku40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Pierre-Edouard Bellemare60122Ilya LyubushkinKris Russell60122
2Michael Raffl40122Robert BortuzzoSami Niku40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Pierre-Edouard BellemareMichael Raffl60122
2Alex GalchenyukCody Eakin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinKris Russell60122
2Robert BortuzzoSami Niku40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael RafflPierre-Edouard BellemareLogan ShawIlya LyubushkinKris Russell
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael RafflPierre-Edouard BellemareLogan ShawIlya LyubushkinKris Russell
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dryden Hunt, Cole Smith, Pierre-Edouard BellemareDryden Hunt, Cole SmithPierre-Edouard Bellemare
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tucker Poolman, Scott Perunovich, Matt KierstedTucker PoolmanScott Perunovich, Matt Kiersted
Tirs de pénalité
Pierre-Edouard Bellemare, Michael Raffl, Alex Galchenyuk, Cody Eakin, Jason Dickinson
Gardien
#1 : Carey Price, #2 : Aaron Dell
Lignes d’attaque personnalisées en prolongation
Pierre-Edouard Bellemare, Michael Raffl, Alex Galchenyuk, Cody Eakin, Jason Dickinson, Mathieu Olivier, Mathieu Olivier, Jujhar Khaira, Logan Shaw, Chase De Leo, Dryden Hunt
Lignes de défense personnalisées en prolongation
Ilya Lyubushkin, Kris Russell, Robert Bortuzzo, Sami Niku, Tucker Poolman


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
1Sound Tigers1000010023-11000010023-10000000000010.50024600110011362015414134125.00%7185.71%0101758.82%132846.43%121963.16%2114257136
Total1000010023-11000010023-10000000000010.50024600110011362015414134125.00%7185.71%0101758.82%132846.43%121963.16%2114257136
_Since Last GM Reset1000010023-11000010023-10000000000010.50024600110011362015414134125.00%7185.71%0101758.82%132846.43%121963.16%2114257136
_Vs Conference1000010023-11000010023-10000000000010.50024600110011362015414134125.00%7185.71%0101758.82%132846.43%121963.16%2114257136

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
11OTL124611154141300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
100010023
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
100010023
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
4125.00%7185.71%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
36201100
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
101758.82%132846.43%121963.16%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2114257136


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
3 - 2022-10-1112Sound Tigers3Moose2BLXSommaire du match
5 - 2022-10-1316Moose-Rocket-
7 - 2022-10-1528Stars-Moose-
8 - 2022-10-1640Moose-Wolves-
9 - 2022-10-1748Moose-Monarchs-
11 - 2022-10-1956Monarchs-Moose-
13 - 2022-10-2168Moose-Admirals-
14 - 2022-10-2278Admirals-Moose-
16 - 2022-10-2489Moose-Rocket-
18 - 2022-10-26102Sharks-Moose-
20 - 2022-10-28111Moose-Penguins-
22 - 2022-10-30124IceHogs-Moose-
24 - 2022-11-01137Moose-Condors-
25 - 2022-11-02147Condors-Moose-
26 - 2022-11-03156Moose-Wolf Pack-
28 - 2022-11-05167Admirals-Moose-
30 - 2022-11-07181Stars-Moose-
35 - 2022-11-12199Moose-Penguins-
36 - 2022-11-13208Sharks-Moose-
40 - 2022-11-17214Moose-Sound Tigers-
42 - 2022-11-19226Monarchs-Moose-
43 - 2022-11-20238Moose-Stars-
46 - 2022-11-23247Moose-Penguins-
47 - 2022-11-24258Sound Tigers-Moose-
49 - 2022-11-26271Moose-Condors-
50 - 2022-11-27280Admirals-Moose-
52 - 2022-11-29294Monarchs-Moose-
54 - 2022-12-01305Moose-Wolf Pack-
55 - 2022-12-02316Moose-Griffins-
56 - 2022-12-03324Sound Tigers-Moose-
59 - 2022-12-06338Rampage-Moose-
61 - 2022-12-08350Moose-Soldiers-
62 - 2022-12-09356Moose-Rocket-
65 - 2022-12-12367Sound Tigers-Moose-
67 - 2022-12-14381Bruins-Moose-
68 - 2022-12-15392Moose-Soldiers-
69 - 2022-12-16404Crunch-Moose-
72 - 2022-12-19413Moose-Rampage-
74 - 2022-12-21424Rampage-Moose-
76 - 2022-12-23438Moose-Stars-
77 - 2022-12-24447Moose-Condors-
79 - 2022-12-26455Wolves-Moose-
81 - 2022-12-28468Moose-Admirals-
82 - 2022-12-29475Sharks-Moose-
85 - 2023-01-01491Flames-Moose-
87 - 2023-01-03500Moose-Rampage-
88 - 2023-01-04508Moose-Wolves-
91 - 2023-01-07519Condors-Moose-
93 - 2023-01-09535Phantoms-Moose-
98 - 2023-01-14555Stars-Moose-
100 - 2023-01-16567Moose-Bruins-
102 - 2023-01-18575Moose-Wolves-
103 - 2023-01-19582IceHogs-Moose-
106 - 2023-01-22597Moose-Penguins-
108 - 2023-01-24602Marlies-Moose-
109 - 2023-01-25618Monsters-Moose-
113 - 2023-01-29634Moose-IceHogs-
114 - 2023-01-30642Moose-Monarchs-
116 - 2023-02-01649Condors-Moose-
118 - 2023-02-03663Soldiers-Moose-
120 - 2023-02-05669Moose-Senators-
125 - 2023-02-10688Moose-Sharks-
126 - 2023-02-11695Stars-Moose-
127 - 2023-02-12710Soldiers-Moose-
129 - 2023-02-14717Moose-Sound Tigers-
131 - 2023-02-16727Moose-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
134 - 2023-02-19737Griffins-Moose-
135 - 2023-02-20747Moose-Monarchs-
138 - 2023-02-23753Moose-Sharks-
139 - 2023-02-24756Moose-Rocket-
141 - 2023-02-26767IceHogs-Moose-
144 - 2023-03-01782Griffins-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance1,8011,000
Assistance PCT90.05%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 2801 - 93.37% 85,839$85,839$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
144,366$ 4,150,000$ 4,100,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 116,970$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 142 35,274$ 5,008,908$




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

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

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

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

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