Moose

GP: 8 | W: 3 | L: 4 | OTL: 1 | P: 7
GF: 17 | GA: 18 | PP%: 13.79% | PK%: 79.41%
DG: Luc Forget | Morale : 49 | Moyenne d'Équipe : 62
Prochain matchs #133 vs Roadrunners
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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 SP
1Travis MorinX100.006337886177939159635852565485755052620
2Justin KirklandXX100.006238845680949555615652565465636251600
3Ryan OlsenX100.005939835875939157595656585769656052600
4Filip ChlapikX100.005636925876846957635659575863627351590
5Trent FredericX100.006245795681786855635456575361637952580
6Troy BourkeX100.005336925462787253585451524869656352550
7Mark BorowieckiX100.009981596179806659306856745178704552680
8Jarred TinordiX100.008340785798949555305854634573777052670
9Dalton ProutX100.007340786286705961306258694977694852640
10Chris ButlerX100.006237896177846859306156654782764551640
11TJ BrennanX100.006840806081928959306353585178706252640
12John RamageX100.005839835772949556305653544675685152610
Rayé
MOYENNE D'ÉQUIPE100.00674282587986805746595560517369595262
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 SP
1Matiss Kivlenieks100.00697068766867696867696865695351670
Rayé
MOYENNE D'ÉQUIPE100.0069706876686769686769686569535167
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bryan Trottier57476162787363CAN6041,000,000$


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'ÉquipePOS GP 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
1Chris ButlerMoose (Wpg)D862821401892271127.27%1615319.243141223000015100.00%000011.0400000301
2Filip ChlapikMoose (Wpg)C8224-110012305410353.70%718823.5601111190000311056.46%20900000.4200000011
3Dalton ProutMoose (Wpg)D8022-21752818196170.00%1817021.310001222000022000.00%000000.2300001000
4Justin KirklandMoose (Wpg)LW/RW80112208310390.00%1303.8400000000000020.00%500000.6500000000
Stats d'équipe Total ou en Moyenne3287151435666010526727.62%4254316.9932535650000702055.61%21400010.5500001312
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
1Matiss KivlenieksMoose (Wpg)83410.9322.2348400182660000.000088122
Stats d'équipe Total ou en Moyenne83410.9322.2348400182660000.000088122


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Chris ButlerMoose (Wpg)D321986-10-27No196 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Dalton ProutMoose (Wpg)D291990-03-13No215 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm500,000$0$0$NoLien
Filip ChlapikMoose (Wpg)C221997-06-03No196 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Jarred TinordiMoose (Wpg)D271992-02-20No230 Lbs6 ft6NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
John RamageMoose (Wpg)D281991-02-07No190 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm500,000$0$0$NoLien
Justin KirklandMoose (Wpg)LW/RW221996-08-02No183 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$NoLien
Mark BorowieckiMoose (Wpg)D291989-07-12No207 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm1,000,000$0$0$NoLien
Matiss KivlenieksMoose (Wpg)G221996-08-26No178 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Ryan OlsenMoose (Wpg)C251994-03-25No187 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
TJ BrennanMoose (Wpg)D301989-04-03No216 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm500,000$0$0$NoLien
Travis MorinMoose (Wpg)C351984-01-09No200 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm300,000$0$0$NoLien
Trent FredericMoose (Wpg)C211998-02-11No203 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Troy BourkeMoose (Wpg)LW251994-03-30No156 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1326.69197 Lbs6 ft22.46461,538$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Filip Chlapik40122
230122
3Justin KirklandFilip Chlapik20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dalton Prout40122
2Chris Butler30122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Filip Chlapik60122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dalton Prout60122
2Chris Butler40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Filip Chlapik60122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dalton Prout60122
2Chris Butler40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Filip Chlapik60122Dalton Prout60122
240122Chris Butler40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Filip Chlapik60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dalton Prout60122
2Chris Butler40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ChlapikDalton Prout
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ChlapikDalton Prout
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
Filip Chlapik, , , ,
Gardien
#1 : , #2 : Matiss Kivlenieks


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
LigueDomicileVisiteur
# 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
1Barracuda1010000023-11010000023-10000000000000.00024600564223649282330104143133.33%2150.00%09221842.20%9828035.00%409741.24%155109238579142
2Bruins2010010005-51010000004-41000010001-110.25000000564231649282383234242500.00%15286.67%09221842.20%9828035.00%409741.24%155109238579142
3Crunch1010000012-11010000012-10000000000000.0001230056422964928232681522500.00%4175.00%09221842.20%9828035.00%409741.24%155109238579142
4Reign210010001046110000006151000100043141.0001017270056421176492823652012408225.00%5180.00%09221842.20%9828035.00%409741.24%155109238579142
5Roadrunners10001000321000000000001000100032121.000347005642276492823321512103133.33%5180.00%09221842.20%9828035.00%409741.24%155109238579142
6Stars1010000012-1000000000001010000012-100.0001230056421464928233013619500.00%3166.67%09221842.20%9828035.00%409741.24%155109238579142
Total814021001718-141300000910-14010210088070.4381729460056422416492823266899114729413.79%34779.41%09221842.20%9828035.00%409741.24%155109238579142
_Since Last GM Reset814021001718-141300000910-14010210088070.4381729460056422416492823266899114729413.79%34779.41%09221842.20%9828035.00%409741.24%155109238579142
_Vs Conference713021001616041300000910-13000210076170.5001627430056422276492823236768512824416.67%31680.65%09221842.20%9828035.00%409741.24%155109238579142

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
87OTW1172946241266899114700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
81421001718
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4130000910
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
401210088
Derniers 10 Matchs
WLOTWOTL SOWSOL
142100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
29413.79%34779.41%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
64928235642
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
9221842.20%9828035.00%409741.24%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
155109238579142


Derniers Match 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 - 2019-09-0310Bruins4Moose0LSommaire du Match
3 - 2019-09-0427Moose3Roadrunners2WXSommaire du Match
6 - 2019-09-0748Barracuda3Moose2LSommaire du Match
7 - 2019-09-0852Moose1Stars2LSommaire du Match
9 - 2019-09-1073Reign1Moose6WSommaire du Match
12 - 2019-09-1397Crunch2Moose1LSommaire du Match
13 - 2019-09-14104Moose0Bruins1LXSommaire du Match
14 - 2019-09-15114Moose4Reign3WXSommaire du Match
17 - 2019-09-18133Roadrunners-Moose-
18 - 2019-09-19148Moose-Barracuda-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 60,000$ 8,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 7 0$ 0$




LigueDomicileVisiteur
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