Connexion

Moose
GP: 10 | W: 2 | L: 7 | OTL: 1 | P: 5
GF: 63 | GA: 85 | PP%: 61.29% | PK%: 52.94%
DG: Quentin Robb | Morale : 46 | Moyenne d’équipe : 58
Prochains matchs #164 vs Penguins
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Centre de jeu
Heat
7-3-1, 15pts
8
FINAL
7 Moose
2-7-1, 5pts
Team Stats
W1SéquenceW1
2-2-1Fiche domicile1-4-0
5-1-0Fiche domicile1-3-1
6-3-1Derniers 10 matchs2-7-1
4.73Buts par match 6.30
4.36Buts contre par match 8.50
35.71%Pourcentage en avantage numérique61.29%
63.64%Pourcentage en désavantage numérique52.94%
Admirals
2-7-1, 5pts
7
FINAL
8 Moose
2-7-1, 5pts
Team Stats
L1SéquenceW1
1-4-0Fiche domicile1-4-0
1-3-1Fiche domicile1-3-1
2-7-1Derniers 10 matchs2-7-1
4.60Buts par match 6.30
7.30Buts contre par match 8.50
18.42%Pourcentage en avantage numérique61.29%
39.02%Pourcentage en désavantage numérique52.94%
Moose
2-7-1, 5pts
Jour 15
Penguins
4-4-2, 10pts
Statistiques d’équipe
W1SéquenceW2
1-4-0Fiche domicile2-1-2
1-3-1Fiche visiteur2-3-0
2-7-110 derniers matchs4-4-2
6.30Buts par match 3.50
8.50Buts contre par match 3.50
61.29%Pourcentage en avantage numérique34.48%
52.94%Pourcentage en désavantage numérique64.29%
Penguins
4-4-2, 10pts
Jour 16
Moose
2-7-1, 5pts
Statistiques d’équipe
W2SéquenceW1
2-1-2Fiche domicile1-4-0
2-3-0Fiche visiteur1-3-1
4-4-210 derniers matchs2-7-1
3.50Buts par match 6.30
4.00Buts contre par match 6.30
34.48%Pourcentage en avantage numérique61.29%
64.29%Pourcentage en désavantage numérique52.94%
Checkers
5-4-1, 11pts
Jour 18
Moose
2-7-1, 5pts
Statistiques d’équipe
L1SéquenceW1
3-3-0Fiche domicile1-4-0
2-1-1Fiche visiteur1-3-1
5-4-110 derniers matchs2-7-1
4.60Buts par match 6.30
3.90Buts contre par match 6.30
41.86%Pourcentage en avantage numérique61.29%
65.71%Pourcentage en désavantage numérique52.94%
Meneurs d'équipe
Buts
Adam Klapka
14
Passes
Chase Priskie
20
Points
Adam Klapka
27
Plus/Moins
Adam Klapka
1

Statistiques d’équipe
Buts pour
63
6.30 GFG
Tirs pour
471
47.10 Avg
Pourcentage en avantage numérique
61.3%
19 GF
Début de zone offensive
37.7%
Buts contre
85
8.50 GAA
Tirs contre
368
36.80 Avg
Pourcentage en désavantage numérique
52.9%%
24 GA
Début de la zone défensive
27.5%
Informations de l'équipe

Directeur généralQuentin Robb
EntraîneurBob Essensa
DivisionDivision 4
ConférenceConference 2
CapitaineJohn Klingberg
Assistant #1Adam Boqvist
Assistant #2Tyson Jost


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,500


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite contact 42 / 100
Espoirs149


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
1Jakub VranaX100.0065429181715659623661745969697169596402931,600,000$
2Adam Klapka (R)X100.0099707371925481623762736325474769546402521,238,000$
3Derek RyanXX100.0069428971665466608762567075747762556303812,250,000$
4Tyson Jost (A)XXX100.0077577676685670635261596125717463536202732,000,000$
5Ross JohnstonXX100.0096995671895262622557556625646561536103112,160,000$
6Alex Barre-BouletXX100.0068638167635755668065636260444464556002821,524,000$
7Joseph BlandisiX100.0065676166677174637859635959444462626003112,190,000$
8Taylor WardX100.007576746776778356505057625444446152590271972,000$
9Kurtis MacDermidX100.0082997274904448582550555925656558595803122,000,000$
10Wyatt BongiovanniX100.0075708566705250615050676464444464555802611,063,333$
11Chase WoutersX100.0069677365675556546851535950444457605502521,064,000$
12Oliver KylingtonX100.0059418787675946602555487025636459526302832,000,000$
13John Klingberg (C)X100.0065427968707139592561506925768060556303331,750,000$
14Adam Boqvist (A)X100.0063419069706456742563516325646562566202531,484,000$
15Chase PriskieX100.0075708766707377612552576350444461516102912,157,000$
16Gustav OlofssonX100.0079768564766266512545436339444454655903021,200,000$
17Dillon HeatheringtonX100.0081817962816874462536406337444552585903012,126,000$
18Nikolas BrouillardX100.0067627766625455532550425740444454505503011,041,000$
Rayé
1Devin Kaplan (R)X100.0081739980734546445038446342444453465302131,265,000$
2Kevin ConleyXXX100.0074727962724443486044476045444452395202811,026,000$
3Travis HoweX100.0071834260834445455040445842444448445003111,007,000$
4Kalan Lind (R)X100.0059644780643230445038445242444447394802031,326,000$
5Connor Kelley (R)X100.0081739980733230412528396237444450415402331,330,000$
MOYENNE D’ÉQUIPE100.00746777707355575643515362435353585358
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
1Thomas Milic100.004440506543425051464730444446584802231,025,000$
Rayé
MOYENNE D’ÉQUIPE100.0044405065434250514647304444465848
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Essensa45444345434337TUR812800,000$


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
1Adam KlapkaMoose (WPG)RW1014132715420241165293221.54%622822.8828104111012251148.76%201202022.3600013112
2Chase PriskieMoose (WPG)D1072027-8121018157929288.86%2427927.9648121927011523000%01222011.9300011112
3Joseph BlandisiMoose (WPG)C1071320-942201469123607.69%725725.7535814180003240163.69%157168001.5500202001
4Gustav OlofssonMoose (WPG)D104913-14222023244221229.52%2424624.6442645011116000%0311001.0600202010
5Dillon HeatheringtonMoose (WPG)D102810-9422012175119163.92%2126526.5310116000127000%0413000.7500112000
6Nikolas BrouillardMoose (WPG)D10044-5955521380%310810.890000001116000%026000.7300010000
7Taylor WardMoose (WPG)RW10011-71210436230%0424.2200000000000056.36%5501000.4700101000
Statistiques d’équipe totales ou en moyenne703468102-51193105100813551261699.58%85142820.411423374268134131231255.45%4135763031.43006411235
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


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 Pays 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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Adam BoqvistMoose (WPG)D252000-08-15SWENo191 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,484,000$1,484,000$0$0$No1,484,000$1,484,000$-------1,484,000$1,484,000$-------NoNo-------Lien
Adam KlapkaMoose (WPG)RW252000-09-14CZEYes235 Lbs6 ft8NoNoN/ANoNo2FalseFalsePro & Farm1,238,000$1,238,000$0$0$No1,238,000$--------1,238,000$--------No--------Lien
Alex Barre-BouletMoose (WPG)C/RW281997-05-21QUENo178 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,524,000$1,524,000$0$0$No1,524,000$--------1,524,000$--------No--------Lien / Lien NHL
Chase PriskieMoose (WPG)D291996-03-19USANo197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm2,157,000$2,157,000$0$0$No---------------------------Lien
Chase WoutersMoose (WPG)C252000-02-08SKWNo182 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,064,000$1,064,000$0$0$No1,064,000$--------1,064,000$--------No--------Lien
Connor KelleyMoose (WPG)D232002-07-30USAYes195 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,330,000$1,330,000$0$0$No1,330,000$1,330,000$-------1,330,000$1,330,000$-------NoNo-------Lien
Derek RyanMoose (WPG)C/RW381986-12-29USANo185 Lbs5 ft10NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,250,000$2,250,000$0$0$No---------------------------Lien / Lien NHL
Devin KaplanMoose (WPG)RW212004-01-10USAYes199 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,265,000$1,265,000$0$0$No1,265,000$1,265,000$-------1,265,000$1,265,000$-------NoNo-------Lien
Dillon HeatheringtonMoose (WPG)D301995-05-09CANNo215 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm2,126,000$2,126,000$0$0$No---------------------------Lien
Gustav OlofssonMoose (WPG)D301994-12-01SWENo201 Lbs6 ft3NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm1,200,000$1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Jakub VranaMoose (WPG)LW291996-02-28CZENo197 Lbs6 ft0NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm1,600,000$1,600,000$0$0$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------Lien / Lien NHL
John KlingbergMoose (WPG)D331992-08-14SWENo185 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm1,750,000$1,750,000$0$0$No1,750,000$1,750,000$-------1,750,000$1,750,000$-------NoNo-------Lien / Lien NHL
Joseph BlandisiMoose (WPG)C311994-07-18CANNo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,190,000$2,190,000$0$0$No---------------------------Lien / Lien NHL
Kalan LindMoose (WPG)LW202005-01-25SKYes170 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,326,000$1,326,000$0$0$No1,326,000$1,326,000$-------1,326,000$1,326,000$-------NoNo-------Lien
Kevin ConleyMoose (WPG)C/LW/RW281997-02-17USANo198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,026,000$1,026,000$0$0$No---------------------------Lien
Kurtis MacDermidMoose (WPG)LW311994-03-25CANNo233 Lbs6 ft5NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien / Lien NHL
Nikolas BrouillardMoose (WPG)D301995-02-07QUENo172 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,041,000$1,041,000$0$0$No---------------------------Lien
Oliver KylingtonMoose (WPG)D281997-05-19SWENo183 Lbs6 ft0NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
Ross JohnstonMoose (WPG)LW/RW311994-02-18CANNo232 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm2,160,000$2,160,000$0$0$No---------------------------Lien / Lien NHL
Taylor WardMoose (WPG)RW271998-03-31CANNo207 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm972,000$972,000$0$0$No---------------------------Lien
Thomas MilicMoose (WPG)G222003-04-13BCNo179 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,025,000$1,025,000$0$0$No1,025,000$1,025,000$-------1,025,000$1,025,000$-------NoNo-------Lien
Travis HoweMoose (WPG)RW311994-02-10USANo229 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,007,000$1,007,000$0$0$No---------------------------Lien
Tyson JostMoose (WPG)C/LW/RW271998-03-14CANNo187 Lbs5 ft11NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Wyatt BongiovanniMoose (WPG)LW261999-07-24USANo193 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,063,333$1,063,333$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2427.83197 Lbs6 ft11.961,533,264$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Joseph BlandisiAdam Klapka30122
3Adam KlapkaJoseph Blandisi20122
4Taylor WardJoseph Blandisi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonChase Priskie40122
2Dillon Heatherington30122
3Dillon HeatheringtonGustav Olofsson20122
4Nikolas BrouillardChase Priskie10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph Blandisi60122
2Adam Klapka40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase Priskie60122
2Gustav OlofssonDillon Heatherington40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joseph BlandisiAdam Klapka60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon Heatherington60122
2Chase PriskieGustav Olofsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Klapka60122Dillon HeatheringtonGustav Olofsson60122
240122Nikolas BrouillardChase Priskie40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam Klapka60122
2Joseph Blandisi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonChase Priskie60122
2Dillon Heatherington40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam KlapkaJoseph BlandisiDillon HeatheringtonChase Priskie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam KlapkaJoseph BlandisiDillon HeatheringtonChase Priskie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joseph Blandisi, Adam Klapka, Adam Klapka, Adam Klapka
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dillon Heatherington, Chase Priskie, Nikolas BrouillardDillon HeatheringtonChase Priskie, Dillon Heatherington
Tirs de pénalité
, Joseph Blandisi, , , Adam Klapka
Gardien
#1 : , #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals21001000211561000100087111000000138541.000213253001128231941221691791713241399666.67%8275.00%012026145.98%9519050.00%11924149.38%2051192159517979
2Americans20200000818-101010000037-410100000511-600.00081422001128231851221691791662236453133.33%8537.50%112026145.98%9519050.00%11924149.38%2051192159517979
3Checkers10100000511-60000000000010100000511-600.0005813001128231521221691791421268203266.67%9455.56%112026145.98%9519050.00%11924149.38%2051192159517979
4Eagles202000001019-91010000048-410100000611-500.000101727001128231951221691791733336457457.14%8625.00%012026145.98%9519050.00%11924149.38%2051192159517979
5Heat1010000078-11010000078-10000000000000.0007132000112823149122169179138727243266.67%6433.33%112026145.98%9519050.00%11924149.38%2051192159517979
6Stars201001001214-21010000056-11000010078-110.250122133001128231961221691791783229386466.67%12375.00%012026145.98%9519050.00%11924149.38%2051192159517979
Total1017011006385-22504010002736-9513001003649-1350.250631051680011282314711221691791368138237211311961.29%512452.94%312026145.98%9519050.00%11924149.38%2051192159517979
_Since Last GM Reset1017011006385-22504010002736-9513001003649-1350.250631051680011282314711221691791368138237211311961.29%512452.94%312026145.98%9519050.00%11924149.38%2051192159517979
_Vs Conference1017011006385-22504010002736-9513001003649-1350.250631051680011282314711221691791368138237211311961.29%512452.94%312026145.98%9519050.00%11924149.38%2051192159517979

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
105W16310516847136813823721100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
101711006385
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
50410002736
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51301003649
Derniers 10 matchs
WLOTWOTL SOWSOL
270100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
311961.29%512452.94%3
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
12216917911128231
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
12026145.98%9519050.00%11924149.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2051192159517979


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
111Moose7Stars8LXSommaire du match
219Stars6Moose5LSommaire du match
335Eagles8Moose4LSommaire du match
551Moose6Eagles11LSommaire du match
665Moose5Checkers11LSommaire du match
776Moose13Admirals8WSommaire du match
989Americans7Moose3LSommaire du match
10111Moose5Americans11LSommaire du match
12123Heat8Moose7LSommaire du match
13141Admirals7Moose8WXSommaire du match
15164Moose-Penguins-
16174Penguins-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
18195Checkers-Moose-
20208Moose-Heat-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2510
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,679,833$ 3,679,833$ 800,000$0$
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$ 8 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