Connexion

Moose
GP: 9 | W: 4 | L: 5
GF: 23 | GA: 32 | PP%: 26.67% | PK%: 68.18%
DG: Michel Lefebvre | Morale : 71 | Moyenne d’équipe : 62
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Centre de jeu
Moose
4-5-0, 8pts
3
FINAL
4 Harford Wolf Pack
12-4-0, 24pts
Team Stats
L1SéquenceL1
2-3-0Fiche domicile6-1-0
2-2-0Fiche domicile6-3-0
4-4-1Derniers 10 matchs8-2-0
2.56Buts par match 3.88
3.56Buts contre par match 2.31
26.67%Pourcentage en avantage numérique32.50%
68.18%Pourcentage en désavantage numérique92.00%
Moose
4-5-0, 8pts
1
FINAL
3 Harford Wolf Pack
12-4-0, 24pts
Team Stats
L1SéquenceL1
2-3-0Fiche domicile6-1-0
2-2-0Fiche domicile6-3-0
4-4-1Derniers 10 matchs8-2-0
2.56Buts par match 3.88
3.56Buts contre par match 2.31
26.67%Pourcentage en avantage numérique32.50%
68.18%Pourcentage en désavantage numérique92.00%
Meneurs d'équipe
Buts
Saku Maenalanen
4
Passes
Ville Heinola
6
Points
Saku Maenalanen
9
Plus/Moins
Dmitri Samorukov
1
Collin DeliaVictoires
Collin Delia
4
Pourcentage d’arrêts
Trevin Kozlowski
0.903

Statistiques d’équipe
Buts pour
23
2.56 GFG
Tirs pour
246
27.33 Avg
Pourcentage en avantage numérique
26.7%
4 GF
Début de zone offensive
38.6%
Buts contre
32
3.56 GAA
Tirs contre
272
30.22 Avg
Pourcentage en désavantage numérique
68.2%%
7 GA
Début de la zone défensive
42.3%
Informations de l'équipe

Directeur généralMichel Lefebvre
EntraîneurMark Morrison
DivisionDivision 1
ConférenceConference 1
CapitaineTyler Ennis
Assistant #1Dominic Toninato
Assistant #2Sam Anas


Informations de l’aréna

Capacité3,000
Assistance2,678
Billets de saison0


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 50
Espoirs30


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
1Rasmus Kupari0XX100.0070448770807788677963666864656681766602321,000,000$
2Rocco Grimaldi0XX100.006135937462897869716670647271736279660301700,000$
3Tyler Ennis (R) (C)0XX100.0069329174618083726370655971807548786603311,100,000$
4Jansen Harkins0X100.006840896780858766726467636566686978650261850,000$
5Saku Maenalanen0XX100.007738926589767162556059756168694778640291700,000$
6Dominic Toninato (A)0X100.007139886481828562736059746269714778640292775,000$
7Axel Jonsson-Fjallby0X100.006538956675778364596267636665675478630252775,000$
8Sam Anas (A)0X100.006135896461939163746661576469713678630301700,000$
9David Gustafsson0X100.005737956483757762786155725662636776620231775,000$
10Jeffrey Viel0X100.007781506281848163605859626566684278620261775,000$
11Kristian Reichel0X100.006839866279788058796159627065674278610251775,000$
12Daniel Torgersson (R)0XX100.007439945883807357585561605961637578600213867,500$
13Kyle Capobianco0X100.006236766681867065306460575265676478630261762,500$
14Ville Heinola0X100.006440786674838065306958605062648278630221863,333$
15Dmitri Samorukov (R)0X100.0068388262817377603059585649636564766102431,000,000$
16Turner Ottenbreit0X100.007339745882678855305753564665675478600261700,000$
17Yanni Kaldis0X100.006138865970748158306254574567693778600271700,000$
18Ryan Jones0X100.006936785779679156305554534566685669590271700,000$
Rayé
1Brad Lambert (R)0XX100.006038826469856159555256536360628020560193918,333$
2Stephen Harper0XXX100.007338945382736852585354565367693721560281700,000$
3Patrick Polino0X100.005635945364676052555456515367693721540281700,000$
4Patrick McGrath0X100.006147605271646351565352515369713620530301700,000$
5Wyatte Wylie0X100.006338875872698755305754554563655720580231700,000$
MOYENNE D’ÉQUIPE100.00664084637678786155605960586668556561
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
1Collin Delia0100.00747172827372747372747369835153730291750,000$
2Trevin Kozlowski0100.00676865906665676665676665734279680261700,000$
Rayé
1Samuel Harvey0100.00716766717069717069717064714342680251700,000$
2Tommy Nappier0100.00687173876766686766686764714335680251700,000$
MOYENNE D’ÉQUIPE100.0070696983696870696870696675455269
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mark Morrison66696668898458CAN592800,000$


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
1Saku MaenalanenMoose (WPG)C/LW9459-22022163472711.76%519521.750114120000112038.46%1300000.9200000120
2Ville HeinolaMoose (WPG)D9369-7601415132623.08%1322625.20213413000017000%000000.7900000100
3Axel Jonsson-FjallbyMoose (WPG)LW9268-420272082010.00%016218.060330120000220054.00%5000000.9800000000
4Tyler EnnisMoose (WPG)LW/RW9448-2206183772110.81%120422.730224120000210231.58%1900000.7800000010
5Rocco GrimaldiMoose (WPG)LW/RW9257-1205182214199.09%017519.5000000000000053.40%20600000.8000000100
6Jansen HarkinsMoose (WPG)C9235-240710289187.14%219221.42011212000070053.13%3200000.5200000010
7Dmitri SamorukovMoose (WPG)D92131206553540.00%1117619.58000110000013100%000000.3400000001
8Kyle CapobiancoMoose (WPG)D9123-74012712288.33%1022725.33101613000119000%000000.2600000001
9David GustafssonMoose (WPG)C9202-10002211101018.18%113715.2500000000001053.06%14700000.2900000000
10Jeffrey VielMoose (WPG)LW9022-160171518280%213615.1800000000000050.00%400000.2900000000
11Kristian ReichelMoose (WPG)C9022-5001415122100%012413.8700000000000056.85%14600000.3200000000
12Dominic ToninatoMoose (WPG)C9101000414871012.50%0677.46101312000060051.39%7200000.3000000000
13Daniel TorgerssonMoose (WPG)LW/RW9011100331230%0546.0100000000020060.00%1000000.3700000000
14Ryan JonesMoose (WPG)D90110601422210%1214015.560000000001000%000000.1400000000
15Sam AnasMoose (WPG)RW9011-10038193200%114916.62000312000000080.00%500000.1300000000
16Turner OttenbreitMoose (WPG)D9011120932220%717519.46000010000014000%000000.1100000000
17Yanni KaldisMoose (WPG)D9011020562250%614416.010000000006000%000000.1400000000
18Rasmus KupariMoose (WPG)C/RW9000000000000%010.180000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne162234164-30400143184246841939.35%71269216.6248122712100011454253.27%70400000.4800000342
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
1Collin DeliaMoose (WPG)94410.8803.6148240292410000090101
2Trevin KozlowskiMoose (WPG)30000.9032.9062003310000009000
Statistiques d’équipe totales ou en moyenne124410.8823.535444032272000099101


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Axel Jonsson-FjallbyMoose (WPG)LW251998-02-10No189 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$166,071$0$0$No775,000$--------No--------Lien / Lien NHL
Brad LambertMoose (WPG)C/RW192003-12-19 17:44:08Yes183 Lbs6 ft11NoNoN/ANoNo3FalseFalsePro & Farm918,333$196,786$750,000$160,714$0$0$No918,333$918,333$-------NoNo-------Lien
Collin DeliaMoose (WPG)G291994-06-20No208 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$160,714$750,000$160,714$0$0$No------------------Lien / Lien NHL
Daniel TorgerssonMoose (WPG)LW/RW212002-01-26 17:50:09Yes190 Lbs7 ft9NoNoN/ANoNo3FalseFalsePro & Farm867,500$185,893$750,000$160,714$0$0$No867,500$867,500$-------NoNo-------Lien
David GustafssonMoose (WPG)C232000-04-11No196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$0$0$No------------------Lien
Dmitri SamorukovMoose (WPG)D241999-06-16Yes188 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,000,000$214,286$700,000$150,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Dominic ToninatoMoose (WPG)C291994-03-09No191 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No775,000$--------No--------Lien
Jansen HarkinsMoose (WPG)C261997-05-23No182 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm850,000$182,143$700,000$150,000$0$0$No------------------Lien
Jeffrey VielMoose (WPG)LW261997-01-28No205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien
Kristian ReichelMoose (WPG)C251998-06-11No168 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm775,000$166,071$700,000$150,000$0$0$No------------------Lien
Kyle CapobiancoMoose (WPG)D261997-08-13No199 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm762,500$163,393$0$0$No------------------Lien
Patrick McGrathMoose (WPG)RW301993-03-17No200 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Patrick PolinoMoose (WPG)RW281995-04-11No172 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Rasmus KupariMoose (WPG)C/RW232000-03-15No200 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$214,286$700,000$150,000$0$0$No1,000,000$--------No--------Lien
Rocco GrimaldiMoose (WPG)LW/RW301993-02-08No180 Lbs5 ft6NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Ryan JonesMoose (WPG)D271996-05-26No186 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Saku MaenalanenMoose (WPG)C/LW291994-05-29 06:53:23No192 Lbs7 ft10NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------
Sam AnasMoose (WPG)RW301993-06-01No163 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Samuel HarveyMoose (WPG)G251998-02-04No185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Stephen HarperMoose (WPG)C/LW/RW281995-03-25No210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Tommy NappierMoose (WPG)G251998-06-22No220 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Trevin KozlowskiMoose (WPG)G261997-03-27No220 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Turner OttenbreitMoose (WPG)D261997-07-09No192 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Tyler EnnisMoose (WPG)LW/RW331989-10-06Yes160 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$235,714$700,000$150,000$0$0$No------------------Lien
Ville HeinolaMoose (WPG)D222001-03-02No178 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm863,333$185,000$700,000$150,000$0$0$No------------------Lien
Wyatte WylieMoose (WPG)D231999-11-02No190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Yanni KaldisMoose (WPG)D271995-09-30No187 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$150,000$700,000$150,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.11190 Lbs6 ft21.33780,988$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Saku MaenalanenRocco GrimaldiJansen Harkins40122
2Axel Jonsson-FjallbyKristian ReichelTyler Ennis30122
3Jeffrey VielDavid GustafssonSam Anas20122
4Daniel TorgerssonDominic ToninatoTyler Ennis10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoVille Heinola40122
2Dmitri SamorukovTurner Ottenbreit30122
3Yanni KaldisRyan Jones20122
4Kyle CapobiancoVille Heinola10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler EnnisDominic ToninatoAxel Jonsson-Fjallby60122
2Saku MaenalanenJansen HarkinsSam Anas40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoVille Heinola60122
2Dmitri SamorukovTurner Ottenbreit40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Axel Jonsson-FjallbyTyler Ennis60122
2Jansen HarkinsSaku Maenalanen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoVille Heinola60122
2Dmitri SamorukovTurner Ottenbreit40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Ennis60122Kyle CapobiancoVille Heinola60122
2Jansen Harkins40122Dmitri SamorukovTurner Ottenbreit40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dominic ToninatoTyler Ennis60122
2Jansen HarkinsSaku Maenalanen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoVille Heinola60122
2Dmitri SamorukovTurner Ottenbreit40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler EnnisRocco GrimaldiAxel Jonsson-FjallbyKyle CapobiancoVille Heinola
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler EnnisRocco GrimaldiAxel Jonsson-FjallbyKyle CapobiancoVille Heinola
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dominic Toninato, Sam Anas, Axel Jonsson-FjallbyDominic Toninato, Sam AnasDominic Toninato
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Turner Ottenbreit, Yanni Kaldis, Ryan JonesTurner OttenbreitTurner Ottenbreit, Yanni Kaldis
Tirs de pénalité
Tyler Ennis, Sam Anas, Jansen Harkins, Saku Maenalanen, Dominic Toninato
Gardien
#1 : Collin Delia, #2 : Trevin Kozlowski
Lignes d’attaque personnalisées en prolongation
Tyler Ennis, Rocco Grimaldi, Jansen Harkins, Saku Maenalanen, Dominic Toninato, Sam Anas, Sam Anas, Axel Jonsson-Fjallby, Jeffrey Viel, David Gustafsson, Kristian Reichel
Lignes de défense personnalisées en prolongation
Kyle Capobianco, Ville Heinola, Dmitri Samorukov, Turner Ottenbreit, Yanni Kaldis


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
1Harford Wolf Pack40400000617-1120200000210-82020000047-300.00061117001157010171877991173716667114.29%8450.00%014127251.84%16129854.03%7313454.48%2071442186811955
2Reign541000001715232100000121202200000053280.800173047001157014571877991553428778337.50%14378.57%014127251.84%16129854.03%7313454.48%2071442186811955
Total945000002332-9523000001422-842200000910-180.44423416400115702467187799272714414315426.67%22768.18%014127251.84%16129854.03%7313454.48%2071442186811955
_Since Last GM Reset945000002332-9523000001422-842200000910-180.44423416400115702467187799272714414315426.67%22768.18%014127251.84%16129854.03%7313454.48%2071442186811955
_Vs Conference945000002332-9523000001422-842200000910-180.44423416400115702467187799272714414315426.67%22768.18%014127251.84%16129854.03%7313454.48%2071442186811955
_Vs Division44100000617-1122100000210-82200000047-381.00061117001157010171877991173716667114.29%8450.00%014127251.84%16129854.03%7313454.48%2071442186811955

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
98L1234164246272714414300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
94500002332
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001422
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4220000910
Derniers 10 matchs
WLOTWOTL SOWSOL
440100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
15426.67%22768.18%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
718779911570
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
14127251.84%16129854.03%7313454.48%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2071442186811955


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 - 2024-04-232Reign5Moose6WSommaire du match
2 - 2024-04-2410Reign5Moose3LSommaire du match
3 - 2024-04-2518Moose2Reign1WSommaire du match
4 - 2024-04-2626Moose3Reign2WSommaire du match
5 - 2024-04-2734Reign2Moose3WSommaire du match
8 - 2024-04-3058Harford Wolf Pack6Moose0LSommaire du match
9 - 2024-05-0162Harford Wolf Pack4Moose2LSommaire du match
10 - 2024-05-0266Moose3Harford Wolf Pack4LXSommaire du match
11 - 2024-05-0370Moose1Harford Wolf Pack3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance10,0003,390
Assistance PCT100.00%67.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2678 - 89.27% 100,212$501,062$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,108,666$ 1,695,000$ 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$ 6 0$ 0$




Moose Leaders statistiques des joueurs (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 des joueurs (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