hellpepitosKingspatriots

 

 


Moose

GP: 4 | W: 0 | L: 3 | OTL: 1 | P: 1
GF: 5 | GA: 15 | PP%: 9.09% | PK%: 84.00%
DG: Nicolas Martine | Morale : 43 | Moyenne d'Équipe : 78
Prochain matchs #38 vs Outlaws
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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
1Evgeni Malkin0XXX99.00493041107489439279918872878487044840
2Jack Eichel0X100.00491367136492728982898676854850044820
3Ryan Getzlaf0X98.00773553259191438184888479888694044820
4Matt Duchene0XX100.00432576196187698490858872907368044810
5Anthony Mantha0XX99.00573865258783718143828570705358044780
6Anders Lee0XX100.00673153248980798160828671725962044780
7Jeff Carter0XX99.00572661318685527586818277868580044780
8Gustav Nyquist0XX100.0045574275481797848848470877036044760
9Jordan Eberle0X100.00442372275678727739828468917476044760
10Boone Jenner0XX100.00803261347479677584818275756077044760
11Jonathan Drouin0XXX100.00472366265780687864858470855146044750
12Tyler Bertuzzi0X100.00624163316076767736828470714859044740
13Shea Weber (C)0X96.00803865399286478921868080688393044810
14Ryan McDonagh0X99.00602467438081678622897989437079044800
15Brent Seabrook0X100.00663263438770718531857770798889044780
16Dmitry Orlov0X100.00672568447380718325867769726448044760
17Tyler Myers0X100.00583258439372608523857869747054044750
18Kevin Connauton0X100.00823664467861698227817565695754045710
Rayé
1Vadim Shipachyov (R)0X100.0027481606049835631647168687154046580
2Matt Dumba0X98.83673465385385668978877776695757037770
MOYENNE D'ÉQUIPE99.4059276432737966815384827376686604477
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
1Marc-Andre Fleury99.0099789982979594979877959999044910
2Cory Schneider100.0093768985919393919171838478044850
Rayé
MOYENNE D'ÉQUIPE99.509677948494949494957489928904488
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan99899273739050USA512450,000$


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
1Jack EichelMooseC4022-3000218170.00%46516.4800019000000041.79%6701000.6101000000
2Evgeni MalkinMooseC/LW/RW4112-36099124108.33%26817.08000310000000080.00%511000.5901000000
3Anthony ManthaMooseLW/RW4011-100763540.00%37117.7801108000011000.00%000000.2800000000
4Anders LeeMooseC/LW4011080462060.00%05313.280000800000000.00%311000.3800000000
5Gustav NyquistMooseLW/RW4011000021120.00%1369.200000000000000.00%000000.5401000000
6Jeff CarterMooseC/RW40110203102360.00%26817.19000000001310052.46%6101000.2911000000
7Ryan GetzlafMooseC4101-280912103810.00%08220.61101480001270060.98%4100000.2411000000
8Tyler BertuzziMooseLW41010002132033.33%1358.820000000000000.00%310000.5700000001
9Brent SeabrookMooseD4011140512000.00%17418.6300001000015000.00%001000.2700000000
10Shea WeberMooseD4101-30012831333.33%811328.48000015000127000.00%001000.1800000000
11Matt DucheneMooseC/RW4101-3003554520.00%16115.31000010000000051.72%2902000.3301000000
12Ryan McDonaghMooseD4011-1201910340.00%69924.81011211000023000.00%033000.2000000000
13Tyler MyersMooseD4011-4100353110.00%16817.070001700000000.00%000000.2900000000
14Jordan EberleMooseRW4000-200002180.00%04812.1400000000060057.14%700000.0001000000
15Jonathan DrouinMooseC/LW/RW4000-300019030.00%0389.65000000000000100.00%200000.0000000000
16Boone JennerMooseLW/RW4000-180884350.00%25112.9100000000050045.45%1120000.0000000000
17Matt DumbaMooseD2000000222000.00%33216.400000200006000.00%001000.0000000000
18Dmitry OrlovMooseD4000-420271220.00%47117.8500000000011000.00%001000.0000000000
19Kevin ConnautonMooseD2000-100522000.00%02814.320000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne7251015-3050075969434745.32%39117016.26123119400031690050.22%229813000.2627000001
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
1Marc-Andre FleuryMoose40310.8993.43245001413865000.571740100
Stats d'équipe Total ou en Moyenne40310.8993.43245001413865000.571740100


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
Anders LeeMooseC/LW291990-07-03No231 Lbs191 CMNoNoNo1Sans RestrictionPro Only3,750,000$3,750,000$3,548,387$NoLien / Lien NHL
Anthony ManthaMooseLW/RW251994-09-16No225 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm863,333$863,333$816,917$NoLien / Lien NHL
Boone JennerMooseLW/RW261993-06-15No206 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm2,900,000$2,900,000$2,744,086$NoLien / Lien NHL
Brent SeabrookMooseD341985-04-20No220 Lbs191 CMNoNoNo1Sans RestrictionPro Only6,960,000$6,960,000$6,585,806$NoLien / Lien NHL
Cory SchneiderMooseG331986-03-18No200 Lbs191 CMNoNoNo2Sans RestrictionPro Only2,350,000$2,350,000$2,223,656$NoLien / Lien NHL
Dmitry OrlovMooseD281991-07-23No212 Lbs180 CMNoNoNo3Avec RestrictionPro & Farm5,100,000$5,100,000$4,825,806$NoLien / Lien NHL
Evgeni MalkinMooseC/LW/RW331986-07-31No195 Lbs191 CMNoNoNo4Sans RestrictionPro Only11,400,000$11,400,000$10,787,097$NoLien / Lien NHL
Gustav NyquistMooseLW/RW301989-09-01No184 Lbs180 CMNoNoNo2Sans RestrictionPro Only4,750,000$4,750,000$4,494,624$NoLien / Lien NHL
Jack EichelMooseC221996-10-28No200 Lbs188 CMNoNoNo2Contrat d'EntréePro & Farm3,775,000$3,775,000$3,572,043$NoLien / Lien NHL
Jeff CarterMooseC/RW341985-01-01No219 Lbs191 CMNoNoNo1Sans RestrictionPro Only6,327,272$6,327,272$5,987,096$NoLien / Lien NHL
Jonathan DrouinMooseC/LW/RW241995-03-28No193 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm3,194,000$3,194,000$3,022,280$NoLien / Lien NHL
Jordan EberleMooseRW291990-05-15No187 Lbs180 CMNoNoNo2Sans RestrictionPro Only6,000,000$6,000,000$5,677,419$NoLien / Lien NHL
Kevin ConnautonMooseD291990-02-23No205 Lbs188 CMNoNoNo1Sans RestrictionPro & Farm1,000,000$1,000,000$946,237$NoLien / Lien NHL
Marc-Andre FleuryMooseG341984-11-28No180 Lbs188 CMNoNoNo1Sans RestrictionPro Only6,900,000$6,900,000$6,529,032$NoLien / Lien NHL
Matt DucheneMooseC/RW281991-01-16No195 Lbs180 CMNoNoNo3Avec RestrictionPro & Farm6,000,000$6,000,000$5,677,419$NoLien / Lien NHL
Matt DumbaMooseD251994-07-25No182 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm2,550,000$2,550,000$2,412,903$NoLien / Lien NHL
Ryan GetzlafMooseC341985-05-10No225 Lbs193 CMNoNoNo3Sans RestrictionPro Only9,900,000$9,900,000$9,367,742$NoLien / Lien NHL
Ryan McDonaghMooseD301989-06-13No215 Lbs185 CMNoNoNo3Sans RestrictionPro Only5,640,000$5,640,000$5,336,774$NoLien / Lien NHL
Shea WeberMooseD341985-08-14No229 Lbs193 CMNoNoNo1Sans RestrictionPro Only7,847,143$7,847,143$7,425,254$NoLien / Lien NHL
Tyler BertuzziMooseLW241995-02-24No190 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm1,400,000$1,400,000$1,324,731$NoLien
Tyler MyersMooseD291990-02-01No229 Lbs203 CMNoNoNo1Sans RestrictionPro Only5,500,000$5,500,000$5,204,301$NoLien / Lien NHL
Vadim ShipachyovMooseC321987-03-12Yes187 Lbs183 CMNoNoNo2Sans RestrictionPro Only4,500,000$4,500,000$4,258,065$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2229.36205 Lbs188 CM1.864,936,670$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
108,606,748$66,265,000$38,040,000$11,400,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgeni MalkinJack EichelAnthony Mantha35023
2Anders LeeMatt DucheneBoone Jenner29023
3Jonathan DrouinRyan GetzlafJordan Eberle25023
4Tyler BertuzziJeff CarterGustav Nyquist11023
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberTyler Myers40032
2Brent SeabrookRyan McDonagh30032
3Kevin ConnautonDmitry Orlov20032
4Shea WeberRyan McDonagh10032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Evgeni MalkinJack EichelMatt Duchene60014
2Anders LeeRyan GetzlafAnthony Mantha40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberRyan McDonagh60023
2Tyler MyersShea Weber40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jeff CarterRyan Getzlaf60122
2Boone JennerAnthony Mantha40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberRyan McDonagh60122
2Brent SeabrookDmitry Orlov40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Evgeni Malkin60122Shea WeberDmitry Orlov60122
2Ryan Getzlaf40122Ryan McDonaghTyler Myers40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt DucheneEvgeni Malkin60023
2Jack EichelJeff Carter40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Shea WeberRyan McDonagh60122
2Brent SeabrookDmitry Orlov40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Evgeni MalkinJack EichelMatt DucheneShea WeberRyan McDonagh
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Boone JennerRyan GetzlafJeff CarterShea WeberRyan McDonagh
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gustav Nyquist, Boone Jenner, Jordan EberleTyler Bertuzzi, Boone JennerJordan Eberle
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Myers, Dmitry Orlov, Brent SeabrookTyler MyersDmitry Orlov, Brent Seabrook
Tirs de Pénalité
Evgeni Malkin, Ryan Getzlaf, Jack Eichel, Matt Duchene, Jeff Carter
Gardien
#1 : Marc-Andre Fleury, #2 : Cory Schneider
Lignes d'Attaque Perso. en Prol.
Evgeni Malkin, Ryan Getzlaf, Jack Eichel, Matt Duchene, Jeff Carter, Anders Lee, Anders Lee, Anthony Mantha, Boone Jenner, Jordan Eberle, Jonathan Drouin
Lignes de Défense Perso. en Prol.
Shea Weber, Ryan McDonagh, Brent Seabrook, Dmitry Orlov, Tyler Myers


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
1Cousin1010000012-11010000012-10000000000000.00012300010025614502881413400.00%7185.71%0397750.65%499551.58%274856.25%2213238136
2Goblins1000000112-1000000000001000000112-110.50012300100230951493481224400.00%60100.00%0397750.65%499551.58%274856.25%2111279168
3Hoodlums1010000015-41010000015-40000000000000.00012300010019676034141022100.00%5260.00%0397750.65%499551.58%274856.25%178269157
Total40300001515-1030300000413-91000000112-110.125510150032029429323191383950751119.09%25484.00%0397750.65%499551.58%274856.25%7944104356029
5Warpath1010000026-41010000026-40000000000000.00024600200020866042914162150.00%7185.71%0397750.65%499551.58%274856.25%1810277146
_Since Last GM Reset40300001515-1030300000413-91000000112-110.125510150032029429323191383950751119.09%25484.00%0397750.65%499551.58%274856.25%7944104356029
_Vs Conference30200001413-920200000311-81000000112-110.16748120031026923182691103136627114.29%18383.33%0397750.65%499551.58%274856.25%563081264722
_Vs Division20200000311-820200000311-80000000000000.000369002100391413120762324383133.33%12375.00%0397750.65%499551.58%274856.25%351853163013

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
41SOL1510159413839507500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4030001515
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000413
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
100000112
Derniers 10 Matchs
WLOTWOTL SOWSOL
030001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1119.09%25484.00%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
29323193202
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
397750.65%499551.58%274856.25%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
7944104356029


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
1 - 2019-10-065Warpath6Moose2LSommaire du Match
5 - 2019-10-1019Cousin2Moose1LSommaire du Match
6 - 2019-10-1120Hoodlums5Moose1LSommaire du Match
10 - 2019-10-1535Moose1Goblins2LXXSommaire du Match
11 - 2019-10-1638Outlaws-Moose-
13 - 2019-10-1845Icefield-Moose-
15 - 2019-10-2050Moose-Hellpepitos-
16 - 2019-10-2154Kings-Moose-
19 - 2019-10-2463Moose-Lycans-
20 - 2019-10-2569Expos-Moose-
24 - 2019-10-2978Moose-Patriots-
28 - 2019-11-0293Moose-Truites-
29 - 2019-11-0395Piranhas-Moose-
31 - 2019-11-05105Casse-Pied-Moose-
32 - 2019-11-06110Moose-Warpath-
36 - 2019-11-10124Moose-Cousin-
37 - 2019-11-11125Moose-Hoodlums-
41 - 2019-11-15140Goblins-Moose-
42 - 2019-11-16143Moose-Outlaws-
44 - 2019-11-18150Moose-Icefield-
46 - 2019-11-20155Hellpepitos-Moose-
47 - 2019-11-21159Moose-Kings-
50 - 2019-11-24168Lycans-Moose-
51 - 2019-11-25174Moose-Expos-
55 - 2019-11-29183Patriots-Moose-
59 - 2019-12-03198Truites-Moose-
60 - 2019-12-04200Moose-Piranhas-
62 - 2019-12-06210Moose-Casse-Pied-
63 - 2019-12-07215Warpath-Moose-
67 - 2019-12-11229Cousin-Moose-
68 - 2019-12-12230Hoodlums-Moose-
72 - 2019-12-16245Moose-Goblins-
73 - 2019-12-17248Outlaws-Moose-
75 - 2019-12-19255Icefield-Moose-
77 - 2019-12-21260Moose-Hellpepitos-
78 - 2019-12-22264Kings-Moose-
81 - 2019-12-25273Moose-Lycans-
82 - 2019-12-26279Expos-Moose-
86 - 2019-12-30288Moose-Patriots-
90 - 2020-01-03303Moose-Truites-
91 - 2020-01-04305Piranhas-Moose-
93 - 2020-01-06315Casse-Pied-Moose-
94 - 2020-01-07320Moose-Warpath-
98 - 2020-01-11334Moose-Cousin-
99 - 2020-01-12335Moose-Hoodlums-
103 - 2020-01-16350Goblins-Moose-
104 - 2020-01-17353Moose-Outlaws-
106 - 2020-01-19360Moose-Icefield-
108 - 2020-01-21365Hellpepitos-Moose-
109 - 2020-01-22369Moose-Kings-
112 - 2020-01-25378Lycans-Moose-
113 - 2020-01-26384Moose-Expos-
117 - 2020-01-30393Patriots-Moose-
121 - 2020-02-03408Truites-Moose-
122 - 2020-02-04410Moose-Piranhas-
124 - 2020-02-06420Moose-Casse-Pied-
125 - 2020-02-07425Warpath-Moose-
129 - 2020-02-11439Cousin-Moose-
130 - 2020-02-12440Hoodlums-Moose-
134 - 2020-02-16455Moose-Goblins-
135 - 2020-02-17458Outlaws-Moose-
137 - 2020-02-19465Icefield-Moose-
139 - 2020-02-21470Moose-Hellpepitos-
140 - 2020-02-22474Kings-Moose-
143 - 2020-02-25483Moose-Lycans-
144 - 2020-02-26489Expos-Moose-
148 - 2020-03-01498Moose-Patriots-
152 - 2020-03-05513Moose-Truites-
153 - 2020-03-06515Piranhas-Moose-
155 - 2020-03-08525Casse-Pied-Moose-
156 - 2020-03-09530Moose-Warpath-
160 - 2020-03-13544Moose-Cousin-
161 - 2020-03-14545Moose-Hoodlums-
165 - 2020-03-18560Goblins-Moose-
166 - 2020-03-19563Moose-Outlaws-
168 - 2020-03-21570Moose-Icefield-
170 - 2020-03-23575Hellpepitos-Moose-
171 - 2020-03-24579Moose-Kings-
174 - 2020-03-27588Lycans-Moose-
175 - 2020-03-28594Moose-Expos-
179 - 2020-04-01603Patriots-Moose-
183 - 2020-04-05618Truites-Moose-
184 - 2020-04-06620Moose-Piranhas-
186 - 2020-04-08630Moose-Casse-Pied-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna70006000300050002000
Prix des Billets100603525200
Assistance16,93913,7997,09111,3844,454
Attendance PCT80.66%76.66%78.79%75.89%74.23%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 17889 - 77.78% 1,959,561$5,878,683$23000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
5,839,070$ 108,606,748$ 36,285,477$ 0$ -1,980,000$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
583,907$ 5,839,070$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
76,422,879$ 176 583,907$ 102,767,632$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
105,834,976$ 106,626,702$ 17,855,448$ -11,556,649$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Evgeni MalkinAGE:33PO:0OV:84
Anthony ManthaAGE:25PO:0OV:78
Anders LeeAGE:29PO:0OV:78
Gustav NyquistAGE:30PO:0OV:76
Boone JennerAGE:26PO:0OV:76
Jonathan DrouinAGE:24PO:0OV:75
Tyler BertuzziAGE:24PO:0OV:74
Dmitrij JaskinAGE:26PO:0OV:67
Michael Dal ColleAGE:23PO:0OV:66
Brendan LemieuxAGE:23PO:0OV:66
Alexander NylanderAGE:21PO:0OV:62
Morgan KlimchukAGE:24PO:0OV:54
Evgeni MalkinAGE:33PO:0OV:84
Jack EichelAGE:22PO:0OV:82
Ryan GetzlafAGE:34PO:0OV:82
Matt DucheneAGE:28PO:0OV:81
Anders LeeAGE:29PO:0OV:78
Jeff CarterAGE:34PO:0OV:78
Jonathan DrouinAGE:24PO:0OV:75
Jean-Gabriel PageauAGE:26PO:0OV:73
*Trent FredericAGE:21PO:0OV:60
*Vadim ShipachyovAGE:32PO:0OV:58
Nicolas RoyAGE:22PO:0OV:58
Logan BrownAGE:21PO:0OV:57
Evgeni MalkinAGE:33PO:0OV:84
Matt DucheneAGE:28PO:0OV:81
Anthony ManthaAGE:25PO:0OV:78
Jeff CarterAGE:34PO:0OV:78
Gustav NyquistAGE:30PO:0OV:76
Jordan EberleAGE:29PO:0OV:76
Boone JennerAGE:26PO:0OV:76
Jonathan DrouinAGE:24PO:0OV:75
Dmitrij JaskinAGE:26PO:0OV:67
*Valeri NichushkinAGE:24PO:0OV:67
*Sam CarrickAGE:27PO:0OV:63
Alexander NylanderAGE:21PO:0OV:62
Michael McCarronAGE:24PO:0OV:61

Défense #1Défense #2Gardien
Shea WeberAGE:34PO:0OV:81
Ryan McDonaghAGE:30PO:0OV:80
Brent SeabrookAGE:34PO:0OV:78
Matt DumbaAGE:25PO:0OV:77
Dmitry OrlovAGE:28PO:0OV:76
Tyler MyersAGE:29PO:0OV:75
Kevin ConnautonAGE:29PO:0OV:71
Travis DermottAGE:22PO:0OV:70
Erik GudbransonAGE:27PO:0OV:70
Noah JuulsenAGE:22PO:0OV:69
Brett LernoutAGE:24PO:0OV:66
Samuel MorinAGE:24PO:0OV:64
*Ryan LindgrenAGE:21PO:0OV:64
Andreas EnglundAGE:23PO:0OV:63
Dillon HeatheringtonAGE:24PO:0OV:62
*Jakub ZborilAGE:22PO:0OV:61
Marc-Andre FleuryAGE:34PO:0OV:91
Cory SchneiderAGE:33PO:0OV:85
Mike SmithAGE:37PO:0OV:85
Charlie LindgrenAGE:25PO:0OV:78
*Sam MontembeaultAGE:22PO:0OV:78

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Antoine WakedMoose2017107AD-4.0CLien
Connor ChathamMoose201479AD-6.5FLien
Eric CornelMoose201441C-7.0FLien
Francis BeauvillierMoose201294AG-5.0FLien
Henrik BjorklundMoose2009112AD-6.0FLien
Jansen HarkinsMoose201522C-7.0ELien
Jeremy RoyMoose201519D-7.0ELien
Jordan SubbanMoose201359D-6.0FLien
Julien GauthierMoose201614AD-7.5DLien
Martin RewayMoose2014105AG-6.0FLien
Mason McDonaldMoose2014126G-7.0FLien
Maxim LetunovMoose2015127C-7.0FLien
Nicolas HagueMoose201733D-7.0CLien
Ryan CollinsMoose201486D-7.0FLien
Scott KosmachukMoose
Vili SaarijarviMoose201641D-6.5ELien

Choix au Repêchage

Année R1R2R3R4R5R6R7
2020MOO [CON: Exp]MOO MOO
2021MOO MOO MOO MOO MOO
2022MOO MOO MOO MOO MOO MOO
2023MOO MOO MOO MOO MOO MOO MOO
2024MOO MOO MOO MOO MOO MOO MOO



[2019-10-01 06:22:42] - TRADE : From Moose to Expos : Paul Byron (72).
[2019-10-01 06:22:42] - TRADE : From Expos to Moose : 75 000 $ (Money).
[2019-10-01 06:20:46] - TRADE : From Moose to Expos : Casey DeSmith (84).
[2019-10-01 06:20:46] - TRADE : From Expos to Moose : 75 000 $ (Money).
[2019-08-30 09:06:11] - Nick Lappin was released.
[2019-08-30 09:06:11] - Moose paid 0 $ to release Nick Lappin.
[2019-08-30 09:06:06] - Nathan Beaulieu was released.
[2019-08-30 09:06:06] - Moose paid 0 $ to release Nathan Beaulieu.
[2019-08-30 09:05:53] - Matt Puempel was released.
[2019-08-30 09:05:53] - Moose paid 0 $ to release Matt Puempel.
[2019-08-30 09:05:48] - Martin Frk was released.
[2019-08-30 09:05:48] - Moose paid 0 $ to release Martin Frk.
[2019-08-30 09:05:41] - Luke Schenn was released.
[2019-08-30 09:05:41] - Moose paid 0 $ to release Luke Schenn.
[2019-08-30 09:05:28] - Lukas Sedlak was released.
[2019-08-30 09:05:28] - Moose paid 0 $ to release Lukas Sedlak.
[2019-08-30 09:05:22] - Jordan Schmaltz was released.
[2019-08-30 09:05:22] - Moose paid 0 $ to release Jordan Schmaltz.
[2019-08-30 09:05:16] - Beau Bennett was released.
[2019-08-30 09:05:16] - Moose paid 0 $ to release Beau Bennett.
[2019-08-30 06:17:58] - Mike Smith signed with Moose for 650 000 $ for 2 year(s).
[2019-08-30 06:17:58] - Mike Smith was added to Moose.
[2019-08-27 08:04:58] - Cory Schneider signed with Moose for 2 350 000 $ for 2 year(s).
[2019-08-27 08:04:58] - Cory Schneider was added to Moose.
[2019-08-24 07:28:54] - TRADE : From Moose to Piranhas : Y:2020-RND:7-MOO.
[2019-08-24 07:28:54] - TRADE : From Piranhas to Moose : Valeri Nichushkin (67).
[2019-08-18 08:31:15] - Michael McCarron signed with Moose for 874 125 $ for 2 year(s).
[2019-08-18 08:31:15] - Michael McCarron was added to Moose.
[2019-08-18 08:24:23] - Erik Gudbranson signed with Moose for 4 000 000 $ for 2 year(s).
[2019-08-18 08:24:23] - Erik Gudbranson was added to Moose.
[2019-08-18 08:06:45] - Dmitrij Jaskin signed with Moose for 1 100 000 $ for 2 year(s).
[2019-08-18 08:06:45] - Dmitrij Jaskin was added to Moose.
[2019-08-18 07:45:47] - Dillon Heatherington signed with Moose for 925 000 $ for 2 year(s).
[2019-08-18 07:45:47] - Dillon Heatherington was added to Moose.
[2019-08-15 10:06:45] - Sam Montembeault was added to Moose.
[2019-08-09 21:46:45] - Sam Carrick was added to Moose.
[2019-08-09 21:46:45] - Ryan Lindgren was added to Moose.
[2019-08-09 21:46:45] - Trent Frederic was added to Moose.
[2019-08-09 21:46:45] - Jakub Zboril was added to Moose.
[2019-08-09 21:46:45] - Vadim Shipachyov was added to Moose.
[2019-07-01 19:55:42] - Kari Lehtonen was released.
[2019-07-01 19:55:42] - Moose paid 0 $ to release Kari Lehtonen.
[2019-07-01 19:55:28] - Torrey Mitchell was released.
[2019-07-01 19:55:28] - Moose paid 0 $ to release Torrey Mitchell.
[2019-07-01 19:55:23] - Thomas Vanek was released.
[2019-07-01 19:55:23] - Moose paid 0 $ to release Thomas Vanek.
[2019-07-01 19:55:18] - Lars Eller was released.
[2019-07-01 19:55:18] - Moose paid 0 $ to release Lars Eller.
[2019-07-01 19:55:10] - Mikko Koivu was released.
[2019-07-01 19:55:10] - Moose paid 0 $ to release Mikko Koivu.
[2019-06-30 09:49:39] - Tyler Bertuzzi signed with Moose for 1 400 000 $ for 2 year(s).
[2019-06-30 09:49:39] - Tyler Bertuzzi was added to Moose.
[2019-06-30 09:48:53] - Jean-Gabriel Pageau signed with Moose for 3 100 000 $ for 2 year(s).
[2019-06-30 09:48:53] - Jean-Gabriel Pageau was added to Moose.
[2019-06-30 09:48:22] - Dmitry Orlov signed with Moose for 5 100 000 $ for 3 year(s).
[2019-06-30 09:48:22] - Dmitry Orlov was added to Moose.
[2019-06-24 21:14:31] - TRADE : From Moose to Expos : Conditional Draft Pick - Y:2020-RND:2-MOO.
[2019-06-24 21:11:09] - TRADE : From Dissous5 to Moose : Y:2020-RND:2-MOO.



[2019-10-15 06:03:55] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-10-12 07:33:38] Matt Dumba from Moose is back from Bruised Left Shoulder Injury.
[2019-10-11 06:02:20] Auto Lines Partial Function has been run for Moose.
[2019-10-11 06:02:20] Moose lines errors : Normal line # 1 Defense #1 is empty. PP line 2 Defense #2 is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. LastMinOff line Defense #3 is empty. OT Defense #4 is empty.
[2019-10-11 06:02:20] Auto Roster Partial Function has been run for Moose.
[2019-10-11 06:02:19] Moose roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-10-10 05:58:47] Game 19 - Matt Dumba from Moose is injured (Bruised Left Shoulder) and is out for 1 week.
[2019-10-10 05:58:34] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-10-08 06:04:20] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-10-08 06:01:19] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-10-07 21:06:50] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-10-06 08:08:42] Auto Lines Farm Function has been run for Caribou.
[2019-10-01 06:22:42] TRADE : From Moose to Expos : Paul Byron (72).
[2019-10-01 06:22:42] TRADE : From Expos to Moose : 75 000 $ (Money).
[2019-10-01 06:20:46] TRADE : From Moose to Expos : Casey DeSmith (84).
[2019-10-01 06:20:46] TRADE : From Expos to Moose : 75 000 $ (Money).
[2019-09-29 06:19:20] Moose placed Sam Carrick on waivers.
[2019-09-29 06:19:16] Moose placed Casey DeSmith on waivers.
[2019-09-29 06:19:12] Moose placed Paul Byron on waivers.
[2019-09-29 06:19:10] Moose placed Mike Smith on waivers.
[2019-09-29 06:19:02] Moose placed Valeri Nichushkin on waivers.
[2019-09-29 06:18:57] Moose placed Michael Dal Colle on waivers.
[2019-09-29 06:18:54] Moose placed Jean-Gabriel Pageau on waivers.
[2019-09-29 06:18:42] Moose placed Erik Gudbranson on waivers.
[2019-09-29 06:01:38] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-09-26 05:08:05] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-09-20 05:09:38] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-09-18 05:09:42] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-09-17 05:10:18] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-09-16 21:24:45] Successfully loaded Moose lines done with Web Base Client and SQLite Database.
[2019-09-16 05:05:32] Auto Lines Function has been run for Moose.
[2019-08-31 07:50:50] Mike Smith of Moose was sent to farm.
[2019-08-31 07:50:50] Casey DeSmith of Moose was sent to farm.
[2019-08-30 09:06:11] Nick Lappin was released by Moose.
[2019-08-30 09:06:11] Moose paid 0 $ to release Nick Lappin.
[2019-08-30 09:06:06] Nathan Beaulieu was released by Moose.
[2019-08-30 09:06:06] Moose paid 0 $ to release Nathan Beaulieu.
[2019-08-30 09:05:53] Matt Puempel was released by Moose.
[2019-08-30 09:05:53] Moose paid 0 $ to release Matt Puempel.
[2019-08-30 09:05:48] Martin Frk was released by Moose.
[2019-08-30 09:05:48] Moose paid 0 $ to release Martin Frk.
[2019-08-30 09:05:41] Luke Schenn was released by Moose.
[2019-08-30 09:05:41] Moose paid 0 $ to release Luke Schenn.
[2019-08-30 09:05:28] Lukas Sedlak was released by Moose.
[2019-08-30 09:05:28] Moose paid 0 $ to release Lukas Sedlak.
[2019-08-30 09:05:22] Jordan Schmaltz was released by Moose.
[2019-08-30 09:05:22] Moose paid 0 $ to release Jordan Schmaltz.
[2019-08-30 09:05:16] Beau Bennett was released by Moose.
[2019-08-30 09:05:16] Moose paid 0 $ to release Beau Bennett.
[2019-08-30 06:17:58] Mike Smith signed with Moose for 650 000 $ for 2 year(s).



Pas de Blessure ou de Suspension.


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
Saison Régulière
2016842636010732245290-4542121904421132142-1042141706311113148-355224543768201738277152518771842865562515931115617352094320.57%3547479.10%4816167048.86%808170047.53%533111247.93%1807111919837141317634
2016842734081122205236-314216130362210598742112105500100138-385420537357813517767102412763801817452415784106416882203716.82%2655977.74%0911172852.72%912168354.19%577104255.37%1878118918927031328654
201784591804201344184160423250410018885103422713001011569957118344625969031151111144263685885091320244183062617563027725.50%2964684.46%4883174550.60%894173451.56%583111152.48%1907122218686971281634
201784324103422215247-3242162003111116125-94216210031199122-2364215387602038273557248584583379234244888384017463016220.60%3678177.93%4912175052.11%944174953.97%542105551.37%1886117018757081311649
2018821846022104171236-654112200117089101-12416260113482135-53361712824532160613817257284688181681272598382216233285316.16%3697180.76%7871178948.69%912187148.74%44594746.99%1810111919177001268625
201882382705723219226-7412211024111181021641161603312101124-23762193976161180627072651896908816452726979100616493185316.67%4177881.29%6969182653.07%1046197053.10%52696654.45%1813113419187011239606
201940300001515-1030300000413-91000000112-11510150032029429323191383950751119.09%25484.00%0397750.65%499551.58%274856.25%7944104356029
Total Saison Régulière50420020503233191514041434-302531109101717135752666862519011401516610652768-1164011404251139154124644684216215368500851475050290154085429556410272168932619.30%209341380.27%2554011058551.03%55651080251.52%3233628151.47%11182700211561426178073834
Séries
20165140000011110312000009722020000024-221120310045201595758431138653711910440.00%11463.64%05811450.88%409343.01%295651.79%12380106398039
201611560000033312523000001617-1633000001714310335992201210110330109117921233612112425925936.00%32875.00%010422346.64%11621853.21%6715343.79%2621642459418893
201711650000036315633000001918153200000171341236651010091511136110113493333721039125848816.67%44979.55%111925846.12%11425145.42%7614054.29%2721702579718089
2017514000001320-72020000038-5312000001012-22132336003820158494762015955397222418.18%17476.47%05711748.72%549656.25%286841.18%10868115417638
2018139400000413386510000025169743000001617-11841771180010218241712515110833438163174264451328.89%731382.19%013928548.77%16730954.05%7716048.13%29818432311320399
Total Séries452223000001341268221111000007266623111200000626024413424437820385934314254415073987914435074659721503825.33%1773878.53%147799747.84%49196750.78%27757748.01%10656691047386728361