Manitoba Moose

GP: 14 | W: 9 | L: 3 | OTL: 2 | P: 20
GF: 68 | GA: 50 | PP%: 32.26% | PK%: 77.78%
DG: Patrick Lussier | Morale : 54 | Moyenne d'Équipe : 59
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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
1Jason DickinsonXX100.008155897277658561706959822558586855650
2Tom PyattXXX100.006341986567629357535555886368706455630
3Matt HendricksXXX100.008099797477536261646155758174766357630
4Gerald MayhewXXX100.006762796062828766806365636250506658620
5Denis GurianovXX100.007644996976589263446257632555556458610
6Matt BeleskeyX100.007576717276677157505747694568705960600
7Jan Kovar (R)X100.007676776376575565806463656044446553600
8Colin GreeningX100.008378956578778450634746674453535856580
9Pierre Engvall (R)XX100.007574765874687158504962635944446255570
10Matt LoritoXX100.006761826661595962506061605844446261570
11Matt GrzelcykX100.006962728362788871255848702552536358660
12Victor MeteX100.006141978165758160255447762557576258650
13Brian LashoffX100.008382856882738050254339703763645556630
14David WarsofskyX100.006561747361697357255542614057585655590
15Matt BartkowskiX100.007472796972596250253941663964655455590
16Urho Vaakanainen (R)X100.007569907369575855254848624644445755580
17Guillaume BriseboisX100.007367866367738047253741613951515358570
18Jake WalmanX100.006965797165717847253741583948485258570
19Jake CheliosX100.007570886170657048254039623749495255570
Rayé
1Ben SextonX100.007170746770575758735654645155555944570
2Luke GazdicX100.007484496284586055504954665160605733570
3Sean MaloneX100.007870966670677153665348634644445833560
4Felix GirardX100.006869666769818950634846594451515433560
5Zach Magwood (R)X100.007568916268677250634847614544445533540
6Grayson DowningX100.006871616771525350504746594450505233520
7Tim CliftonX100.007971996771474748604744634244445336520
8Chase Pearson (R)X100.007872916672474847593851624844445433520
9Thomas SchemitschX100.007977836177727852254049644744445836590
MOYENNE D'ÉQUIPE100.00736882687165725548515066455353585059
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
1Chris Nell100.00665063677065727571713044446754640
2Evan Cormier (R)100.00556885815259505854533044445640570
Rayé
1Christopher Gibson100.00557290725057515951513045455536560
MOYENNE D'ÉQUIPE100.0059637973576058645958304444594359
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Arniel59577053494455CAN53160,000$


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
1Jason DickinsonManitoba Moose (VAN)C/LW141419331320263678183317.95%933423.921456241013221460.82%416157011.9702000603
2Matt HendricksManitoba Moose (VAN)C/LW/RW14111223143430311553204320.75%1028020.031237230112194068.00%25106001.6402222042
3Gerald MayhewManitoba Moose (VAN)C/LW/RW147142134028243293121.88%626819.15145318000080062.94%170108001.5700000210
4Denis GurianovManitoba Moose (VAN)LW/RW149101940017194872218.75%526619.05224418000081080.00%5106011.4200000110
5Matt GrzelcykManitoba Moose (VAN)D145131811120221833161015.15%2534124.39213527011019110.00%0412001.0500000011
6Tom PyattManitoba Moose (VAN)C/LW/RW146915140012152882121.43%927819.880113240002130046.43%28413011.0801000110
7Matt LoritoManitoba Moose (VAN)LW/RW1451015475181132141915.63%725017.92112317000001066.67%3116001.2000100010
8Jan KovarManitoba Moose (VAN)C14561104430211640132712.50%920914.9810114000001061.63%8699001.0500222000
9Victor MeteManitoba Moose (VAN)D1415611751018191055.26%2634524.71022226000225000.00%0619000.3500100002
10Matt BeleskeyManitoba Moose (VAN)LW14336-3121015212481112.50%421115.0800013000020042.86%787000.5700002000
11Pierre EngvallManitoba Moose (VAN)LW/RW1414502410231020355.00%319213.7400002000000075.00%443000.5200110000
12Matt BartkowskiManitoba Moose (VAN)D14112980122191211.11%1825418.16101118000014010.00%0111000.1600000000
13Urho VaakanainenManitoba Moose (VAN)D14011100631040.00%1016211.610000000001000.00%004000.1200000000
14Ben SextonManitoba Moose (VAN)C10011-2409113050.00%4666.6700000000000052.38%2110000.3000000000
15Jake CheliosManitoba Moose (VAN)D14011-400460000.00%1654.650000100000000.00%001000.3100000000
16Brian LashoffManitoba Moose (VAN)D140118101017218950.00%2225218.06000017000015000.00%006000.0800011000
17Colin GreeningManitoba Moose (VAN)LW14011-1554143310.00%21309.29000000001110053.85%1305000.1500001000
18David WarsofskyManitoba Moose (VAN)D14011120376320.00%616912.1000000000010000.00%007000.1200000000
19Guillaume BriseboisManitoba Moose (VAN)D14000-500521000.00%4886.330000100000000.00%001000.0000000000
20Jake WalmanManitoba Moose (VAN)D14000000000000.00%1251.840000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne276681121807817510528328843814224615.53%181419515.2010172736230123101769660.80%77893131030.86057681098
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
1Chris NellManitoba Moose (VAN)86200.8943.664592028264141000.000086010
2Atte TolvanenCanucks53110.9252.953052015199108000.333354101
3Evan CormierManitoba Moose (VAN)20010.9003.57840055033000.500214000
Stats d'équipe Total ou en Moyenne159320.9063.398494048513282000.40051414111


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
Ben SextonManitoba Moose (VAN)C271991-06-06No196 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm725,000$0$0$NoLien
Brian LashoffManitoba Moose (VAN)D271990-07-15No221 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Chase PearsonManitoba Moose (VAN)C201997-08-23Yes190 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm858,750$0$0$NoLien
Chris NellManitoba Moose (VAN)G231994-09-02No178 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm700,000$0$0$NoLien
Christopher GibsonManitoba Moose (VAN)G251992-12-27No188 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm675,000$0$0$NoLien
Colin GreeningManitoba Moose (VAN)LW321986-03-09No210 Lbs6 ft2YesNoNo1Sans RestrictionPro & Farm900,000$0$0$NoLien
David WarsofskyManitoba Moose (VAN)D281990-05-30No170 Lbs5 ft9YesNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Denis GurianovManitoba Moose (VAN)LW/RW211997-06-07No200 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm894,166$0$0$NoLien
Evan CormierManitoba Moose (VAN)G201997-11-05Yes202 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm718,333$0$0$NoLien
Felix GirardManitoba Moose (VAN)C241994-05-09No197 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm700,000$0$0$NoLien
Gerald MayhewManitoba Moose (VAN)C/LW/RW251992-12-31No170 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Grayson DowningManitoba Moose (VAN)C261992-04-18No197 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Guillaume BriseboisManitoba Moose (VAN)D201997-07-21No175 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm863,000$0$0$NoLien
Jake CheliosManitoba Moose (VAN)D271991-03-08No185 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Jake WalmanManitoba Moose (VAN)D221996-02-19No170 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Jan KovarManitoba Moose (VAN)C281990-03-20Yes216 Lbs5 ft11YesNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Jason DickinsonManitoba Moose (VAN)C/LW221995-07-04No205 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm1,500,000$0$0$NoLien
Luke GazdicManitoba Moose (VAN)LW281989-07-24No225 Lbs6 ft4YesNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Matt BartkowskiManitoba Moose (VAN)D301988-06-04No196 Lbs6 ft1YesNoNo1Sans RestrictionPro & Farm900,000$0$0$NoLien
Matt BeleskeyManitoba Moose (VAN)LW301988-06-07No203 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm3,800,000$0$0$NoLien
Matt GrzelcykManitoba Moose (VAN)D241994-01-05No174 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm1,400,000$0$0$NoLien
Matt HendricksManitoba Moose (VAN)C/LW/RW371981-06-16No209 Lbs6 ft0YesNoNo1Sans RestrictionPro & Farm900,000$0$0$NoLien
Matt LoritoManitoba Moose (VAN)LW/RW271990-07-03No170 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm675,000$0$0$NoLien
Pierre EngvallManitoba Moose (VAN)LW/RW221996-05-31Yes192 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Sean MaloneManitoba Moose (VAN)C231995-04-30No190 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm700,000$0$0$NoLien
Thomas SchemitschManitoba Moose (VAN)D211996-10-25No200 Lbs6 ft4NoNoNo0Contrat d'EntréePro & Farm0$0$NoLien
Tim CliftonManitoba Moose (VAN)C261992-05-22No194 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien
Tom PyattManitoba Moose (VAN)C/LW/RW311987-02-14No185 Lbs5 ft11YesNoNo1Sans RestrictionPro & Farm1,210,000$0$0$NoLien
Urho VaakanainenManitoba Moose (VAN)D191999-01-01Yes187 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm925,000$0$0$NoLien
Victor MeteManitoba Moose (VAN)D201998-06-07No184 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm748,333$0$0$NoLien
Zach MagwoodManitoba Moose (VAN)C201998-04-22Yes190 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm753,333$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3125.00193 Lbs6 ft11.42919,223$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt HendricksJason DickinsonTom Pyatt40122
2Denis GurianovGerald MayhewMatt Lorito30122
3Matt BeleskeyJan KovarPierre Engvall20122
4Colin GreeningJason DickinsonMatt Hendricks10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykVictor Mete40122
2Brian LashoffMatt Bartkowski30122
3David WarsofskyUrho Vaakanainen20122
4Jake WalmanGuillaume Brisebois10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matt HendricksJason DickinsonTom Pyatt60122
2Denis GurianovGerald MayhewMatt Lorito40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykVictor Mete60122
2Brian LashoffMatt Bartkowski40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jason DickinsonMatt Hendricks60122
2Tom PyattGerald Mayhew40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykVictor Mete60122
2Brian LashoffMatt Bartkowski40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jason Dickinson60122Matt GrzelcykVictor Mete60122
2Matt Hendricks40122Brian LashoffMatt Bartkowski40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jason DickinsonMatt Hendricks60122
2Tom PyattGerald Mayhew40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykVictor Mete60122
2Brian LashoffMatt Bartkowski40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt HendricksJason DickinsonTom PyattMatt GrzelcykVictor Mete
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Matt HendricksJason DickinsonTom PyattMatt GrzelcykVictor Mete
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jan Kovar, Matt Beleskey, Colin GreeningJan Kovar, Matt BeleskeyColin Greening
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jake Chelios, David Warsofsky, Urho VaakanainenJake CheliosDavid Warsofsky, Urho Vaakanainen
Tirs de Pénalité
Jason Dickinson, Matt Hendricks, Tom Pyatt, Gerald Mayhew, Denis Gurianov
Gardien
#1 : Chris Nell, #2 : Evan Cormier


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
1Grand Rapids Griffins11000000523110000005230000000000021.000571200132331125128146162729821911100.00%10100.00%012921859.17%18931659.81%15524463.52%285145286123277154
2Hartford Wolf Pack30200001816-82010000169-31010000027-510.16781422001323311981281461627126423265800.00%6266.67%012921859.17%18931659.81%15524463.52%285145286123277154
3Hershey Bears320010001147110000003122100100083561.000111829001323311841281461627974662567114.29%6183.33%012921859.17%18931659.81%15524463.52%285145286123277154
4Milwaukee Admirals11000000853110000008530000000000021.0008132100132331140128146162745124182150.00%20100.00%012921859.17%18931659.81%15524463.52%285145286123277154
5Rimouski Oceanic3300000024111311000000115622000000136761.000243963001323311102128146162710945375510770.00%60100.00%112921859.17%18931659.81%15524463.52%285145286123277154
Total148301002685018742000013626107410100132248200.714681121800013233114381281461627513181179283311032.26%27677.78%112921859.17%18931659.81%15524463.52%285145286123277154
7Worcester Sharks31100001121201010000034-12100000198130.500122133001323311891281461627107284270300.00%6350.00%012921859.17%18931659.81%15524463.52%285145286123277154
_Since Last GM Reset148301002685018742000013626107410100132248200.714681121800013233114381281461627513181179283311032.26%27677.78%112921859.17%18931659.81%15524463.52%285145286123277154
_Vs Conference13730100260451563200001282177410100132248180.6926099159001323311398128146162746816917526529931.03%25676.00%112921859.17%18931659.81%15524463.52%285145286123277154
_Vs Division763010022530-5422000011415-1341010011115-4161.143254267001323311212128146162726278761541218.33%13561.54%012921859.17%18931659.81%15524463.52%285145286123277154

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1420W26811218043851318117928300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
148310026850
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74200013626
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
74110013224
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
311032.26%27677.78%1
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
12814616271323311
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
12921859.17%18931659.81%15524463.52%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
285145286123277154


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 - 2019-09-226Manitoba Moose6Hershey Bears2WSommaire du Match
2 - 2019-09-2317Manitoba Moose6Worcester Sharks4WSommaire du Match
3 - 2019-09-2428Hartford Wolf Pack4Manitoba Moose3LXXSommaire du Match
5 - 2019-09-2653Manitoba Moose2Hershey Bears1WXSommaire du Match
6 - 2019-09-2766Hartford Wolf Pack5Manitoba Moose3LSommaire du Match
7 - 2019-09-2886Grand Rapids Griffins2Manitoba Moose5WSommaire du Match
9 - 2019-09-30106Hershey Bears1Manitoba Moose3WSommaire du Match
10 - 2019-10-01125Worcester Sharks4Manitoba Moose3LSommaire du Match
11 - 2019-10-02128Manitoba Moose6Rimouski Oceanic4WSommaire du Match
12 - 2019-10-03138Manitoba Moose3Worcester Sharks4LXXSommaire du Match
15 - 2019-10-06159Milwaukee Admirals5Manitoba Moose8WSommaire du Match
16 - 2019-10-07165Manitoba Moose2Hartford Wolf Pack7LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
17 - 2019-10-08184Manitoba Moose7Rimouski Oceanic2WSommaire du Match
19 - 2019-10-10196Rimouski Oceanic5Manitoba Moose11WSommaire 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$ 2,849,591$ 2,469,591$ 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$ 1 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