Moose

GP: 10 | W: 3 | L: 6 | OTL: 1 | P: 7
GF: 18 | GA: 25 | PP%: 12.90% | PK%: 79.55%
DG: Luc Forget | Morale : 47 | Moyenne d'Équipe : 62
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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
1Ryan OlsenX100.005939835875939157595656585769656052600
2Filip ChlapikX100.005636925876846957635659575863627350590
3Justin KirklandXX100.006238845680949555615652565465636250590
4Trent FredericX100.006245795681786855635456575361637952580
5Patrick BajkovX100.005736915572777154515254535463626334560
6Troy BourkeX100.005336925462787253585451524869656352550
7Mark BorowieckiX100.009981596179806659306856745178704552680
8Jarred TinordiX100.008340785798949555305854634573777052670
9Dalton ProutX100.007340786286705961306258694977694851640
10Chris ButlerX100.006237896177846859306156654782764550640
11TJ BrennanX100.006840806081928959306353585178706252640
12John RamageX100.005839835772949556305653544675685152610
Rayé
MOYENNE D'ÉQUIPE100.00664282587885785745585560517168605061
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 Kivlenieks100.00697068766867696867696865695350670
Rayé
MOYENNE D'ÉQUIPE100.0069706876686769686769686569535067
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)D10628114020132371226.09%2219019.053141325000024100.00%000010.8400000301
2Filip ChlapikMoose (Wpg)C10224-314019417015472.86%923123.1901111190001391056.15%26000000.3400000011
3Dalton ProutMoose (Wpg)D10022-32353923237180.00%2420820.820001224000028000.00%000000.1900001000
4Justin KirklandMoose (Wpg)LW/RW1001122083115110.00%2383.8400000000000016.67%600000.5200000000
Stats d'équipe Total ou en Moyenne408715-3535868012734886.30%5766816.7232536690001932055.26%26600010.4500001312
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)103610.9232.4860400253250000.00001010122
Stats d'équipe Total ou en Moyenne103610.9232.4860400253250000.00001010122


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
Patrick BajkovMoose (Wpg)RW211997-11-27No186 Lbs6 ft0NoNoNo4Contrat 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
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
1325.62196 Lbs6 ft12.62461,538$



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
1Barracuda2020000028-61010000023-11010000005-500.0002460066423689104913582314323133.33%7271.43%011326642.48%12033835.50%4512436.29%1901313007211550
2Bruins2010010005-51010000004-41000010001-110.250000006642318910491383234242500.00%15286.67%011326642.48%12033835.50%4512436.29%1901313007211550
3Crunch1010000012-11010000012-10000000000000.00012300664229891049132681522500.00%4175.00%011326642.48%12033835.50%4512436.29%1901313007211550
4Reign210010001046110000006151000100043141.00010172700664211789104913652012408225.00%5180.00%011326642.48%12033835.50%4512436.29%1901313007211550
5Roadrunners201010004401010000012-11000100032120.50046100066426089104913632822325120.00%10280.00%011326642.48%12033835.50%4512436.29%1901313007211550
6Stars1010000012-1000000000001010000012-100.00012300664214891049133013619500.00%3166.67%011326642.48%12033835.50%4512436.29%1901313007211550
Total1016021001825-7514000001012-250202100813-570.3501831490066422878910491332511511118731412.90%44979.55%011326642.48%12033835.50%4512436.29%1901313007211550
_Since Last GM Reset1016021001825-7514000001012-250202100813-570.3501831490066422878910491332511511118731412.90%44979.55%011326642.48%12033835.50%4512436.29%1901313007211550
_Vs Conference915021001723-6514000001012-240102100711-470.3891729460066422738910491329510210516826415.38%41880.49%011326642.48%12033835.50%4512436.29%1901313007211550

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
107L218314928732511511118700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
101621001825
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
51400001012
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
5022100813
Derniers 10 Matchs
WLOTWOTL SOWSOL
162100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
31412.90%44979.55%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
891049136642
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
11326642.48%12033835.50%4512436.29%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1901313007211550


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 - 2019-09-18133Roadrunners2Moose1LSommaire du Match
18 - 2019-09-19148Moose0Barracuda5LSommaire du Match



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
0 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$ 0 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