Manitoba Moose

GP: 82 | W: 43 | L: 31 | OTL: 8 | P: 94
GF: 380 | GA: 367 | PP%: 31.73% | PK%: 71.21%
DG: Patrick Lussier | Morale : 54 | Moyenne d'Équipe : 60
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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
1Denis GurianovXX100.007644997576709278446674722555556059680
2Tom PyattXXX100.006341986567629357535555886368706436630
3Matt HendricksXXX100.008099797477536261646155758174766371630
4Gerald MayhewXXX100.006762796062828766806365636250506678620
5Matt BeleskeyX100.007576717276677157505747694568705966600
6Jan Kovar (R)X100.007676776376575565806463656044446574600
7Chris ThorburnXXX100.008186696986606352504646744481825655590
8Pierre Engvall (R)XX100.007574765874687158505669645944446261590
9Matt LoritoXX100.006761826661595962506061605844446273570
10Luke GazdicX100.007484496284586055504954665160605768570
11Sean MaloneX100.007870966670677153665348634644445857560
12Shane Gersich (R)XX100.006864767764667052655248584644445645560
13Matt GrzelcykX100.006962728362788871255748702552536395660
14Victor MeteX100.006141978165758160255348772557576258650
15Brian LashoffX100.008382856882738050254339703763645568630
16Andreas BorgmanX100.007170727770707552254542624055555574600
17David WarsofskyX100.006561747361697357255542614057585677600
18Matt BartkowskiX100.007472796972596250253941663964655472590
19Guillaume BriseboisX100.007367866367738047253741613951515375580
20Urho Vaakanainen (R)X100.007569907369575855254848624644445757580
Rayé
1Colin GreeningX100.008378956578778450634746674453535840580
2Zach Magwood (R)X100.007568916268677250634847614544445519540
3Chase Pearson (R)X100.007872916672474847593851624844445416520
4Thomas SchemitschX100.007977836177727852254049644744445820590
5Jake WalmanX100.006965797165717847253741583948485222570
MOYENNE D'ÉQUIPE100.00736982697166725645515166465455585760
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
1Atte Tolvanen (R)100.00645063696973657176743044446769640
2Evan Cormier (R)100.00556885815259505854533044445671570
Rayé
1Christopher Gibson100.00557290725057515951513045455519560
MOYENNE D'ÉQUIPE100.0058637974576355636059304444595359
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
1Denis GurianovManitoba Moose (VAN)LW/RW8171751462820208912444415426115.99%47156419.32151328301500331644149.76%21111537041.870611215103
2Gerald MayhewManitoba Moose (VAN)C/LW/RW8238741122973351101422428717015.70%41148718.1471320191510001442158.95%15203933021.5136322566
3Matt HendricksManitoba Moose (VAN)C/LW/RW73424991242811551271002507614016.80%48126617.3541519171031012637350.09%5356332001.441212513364
4Matt GrzelcykManitoba Moose (VAN)D7796170-780208910720389904.43%114174622.682465320449202000.00%04582000.8000121224
5Matt BeleskeyManitoba Moose (VAN)LW76293059-199945101842217010713.12%40115215.1691019171000002812146.81%474119011.0201423530
6Jan KovarManitoba Moose (VAN)C70392059-10815571892246612417.41%2696513.791071719100000055555.49%7103126001.2200425242
7Matt LoritoManitoba Moose (VAN)LW/RW81203353-2571357175238841488.40%28105913.0909913590002272242.55%475519101.0000124020
8Chris ThorburnManitoba Moose (VAN)C/LW/RW812327502525213013297148559415.54%35123715.2712312510141425353.62%2073536000.81007109042
9Pierre EngvallManitoba Moose (VAN)LW/RW82232548586509193127426618.11%33110113.43941315117000391132.56%433725000.8700532102
10Tom PyattManitoba Moose (VAN)C/LW/RW61162945-4101060791425510011.27%37107117.5618943820251283048.72%5072834000.8412101221
11Sean MaloneManitoba Moose (VAN)C68103040182715538514244707.04%1884812.48011040001301048.89%6323711000.9400111132
12Victor MeteManitoba Moose (VAN)D8163339-3954511415658593.85%150183022.60246331112523710100.00%12676000.4300010101
13Luke GazdicManitoba Moose (VAN)LW821919382018395111591584610812.03%2093711.43000031127972144.83%582618000.8100388002
14Shane GersichManitoba Moose (VAN)C/LW65131932-243915886713945689.35%2385913.220220151016392046.94%5882717000.7437210201
15David WarsofskyManitoba Moose (VAN)D82216188602046723510245.71%54115414.081452132011061100.00%0630000.3100211000
16Colin GreeningManitoba Moose (VAN)LW5761117-66325495159213310.17%2370912.44000070004810037.29%5968000.4800131011
17Brian LashoffManitoba Moose (VAN)D7611516121295563714519152.22%77110914.601231370000127000.00%0342000.2900425010
18Andreas BorgmanManitoba Moose (VAN)D81311141510050685629202310.34%43111113.730112112000027110.00%0745000.2500432001
19Urho VaakanainenManitoba Moose (VAN)D73210126202744278197.41%4684311.552467110000015000.00%0327000.2800000000
20Zach MagwoodManitoba Moose (VAN)C174711595891261433.33%519811.68123217000001042.47%14614001.1100001110
21Guillaume BriseboisManitoba Moose (VAN)D811893231528271610146.25%5988710.95145296000020100.00%0124000.2000012000
22Matt BartkowskiManitoba Moose (VAN)D821891391453739399152.56%51100712.28022122000096000.00%0233000.1800036000
23Jake WalmanManitoba Moose (VAN)D280111616106103030.00%162097.5001102200006000.00%004000.1000101000
24Chase PearsonManitoba Moose (VAN)C4011-100247010.00%35413.60000020001100030.00%6001000.3700000000
Stats d'équipe Total ou en Moyenne164137861299012818049101572169831061074176612.17%10372441514.8866112178160149771017531622411951.96%5371634683170.81824575370404532
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
1Atte TolvanenManitoba Moose (VAN)61331660.8914.0933476022820971064700.500225624034
2Evan CormierManitoba Moose (VAN)31101520.8724.911625201331041593200.50042654011
Stats d'équipe Total ou en Moyenne92433180.8854.3649738036131381657900.500268278045


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 Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andreas BorgmanManitoba Moose (VAN)D231995-06-18No191 Lbs6 ft0NoNoNo2Pro & Farm1,775,000$0$0$No700,000$Lien
Atte TolvanenManitoba Moose (VAN)G231994-11-23Yes187 Lbs6 ft0NoNoNo1Pro & Farm575,000$0$0$NoLien
Brian LashoffManitoba Moose (VAN)D271990-07-15No221 Lbs6 ft3NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Chase PearsonManitoba Moose (VAN)C201997-08-23Yes190 Lbs6 ft2NoNoNo3Pro & Farm858,750$0$0$No858,750$858,750$Lien
Chris ThorburnManitoba Moose (VAN)C/LW/RW351983-06-03No235 Lbs6 ft3YesNoYes1Pro & Farm900,000$0$0$NoLien
Christopher GibsonManitoba Moose (VAN)G251992-12-27No188 Lbs6 ft1NoNoNo1Pro & Farm675,000$0$0$NoLien
Colin GreeningManitoba Moose (VAN)LW321986-03-09No210 Lbs6 ft2YesNoNo1Pro & Farm900,000$0$0$NoLien
David WarsofskyManitoba Moose (VAN)D281990-05-30No170 Lbs5 ft9YesNoNo1Pro & Farm900,000$0$0$NoLien
Denis GurianovManitoba Moose (VAN)LW/RW211997-06-07No200 Lbs6 ft3NoNoNo1Pro & Farm894,166$0$0$NoLien
Evan CormierManitoba Moose (VAN)G201997-11-05Yes202 Lbs6 ft3NoNoNo3Pro & Farm718,333$0$0$No718,333$718,333$Lien
Gerald MayhewManitoba Moose (VAN)C/LW/RW251992-12-31No170 Lbs5 ft10NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Guillaume BriseboisManitoba Moose (VAN)D201997-07-21No175 Lbs6 ft2NoNoNo2Pro & Farm863,000$0$0$No863,000$Lien
Jake WalmanManitoba Moose (VAN)D221996-02-19No170 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Jan KovarManitoba Moose (VAN)C281990-03-20Yes216 Lbs5 ft11YesNoNo1Pro & Farm900,000$0$0$NoLien
Luke GazdicManitoba Moose (VAN)LW281989-07-24No225 Lbs6 ft4YesNoNo1Pro & Farm900,000$0$0$NoLien
Matt BartkowskiManitoba Moose (VAN)D301988-06-04No196 Lbs6 ft1YesNoNo1Pro & Farm900,000$0$0$NoLien
Matt BeleskeyManitoba Moose (VAN)LW301988-06-07No203 Lbs6 ft0NoNoNo1Pro & Farm3,800,000$0$0$NoLien
Matt GrzelcykManitoba Moose (VAN)D241994-01-05No174 Lbs5 ft9NoNoNo1Pro & Farm1,400,000$0$0$NoLien
Matt HendricksManitoba Moose (VAN)C/LW/RW371981-06-16No209 Lbs6 ft0YesNoNo1Pro & Farm900,000$0$0$NoLien
Matt LoritoManitoba Moose (VAN)LW/RW271990-07-03No170 Lbs5 ft9NoNoNo1Pro & Farm675,000$0$0$NoLien
Pierre EngvallManitoba Moose (VAN)LW/RW221996-05-31Yes192 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Sean MaloneManitoba Moose (VAN)C231995-04-30No190 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Shane GersichManitoba Moose (VAN)C/LW211996-07-09Yes175 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien
Thomas SchemitschManitoba Moose (VAN)D211996-10-25No200 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien
Tom PyattManitoba Moose (VAN)C/LW/RW311987-02-14No185 Lbs5 ft11YesNoNo1Pro & Farm1,210,000$0$0$NoLien
Urho VaakanainenManitoba Moose (VAN)D191999-01-01Yes187 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Victor MeteManitoba Moose (VAN)D201998-06-07No184 Lbs5 ft10NoNoNo1Pro & Farm748,333$0$0$NoLien
Zach MagwoodManitoba Moose (VAN)C201998-04-22Yes190 Lbs5 ft10NoNoNo3Pro & Farm753,333$0$0$No753,333$753,333$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2825.07193 Lbs6 ft11.46965,926$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Denis GurianovGerald MayhewMatt Hendricks34122
2Matt LoritoJan KovarPierre Engvall22122
3Matt BeleskeyShane GersichTom Pyatt22122
4Luke GazdicSean MaloneChris Thorburn22122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykVictor Mete40005
2Guillaume BriseboisAndreas Borgman20122
3Urho VaakanainenDavid Warsofsky20122
4Brian LashoffMatt Bartkowski20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Denis GurianovGerald MayhewMatt Hendricks50122
2Matt LoritoJan KovarPierre Engvall50122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Urho VaakanainenDavid Warsofsky50122
2Guillaume BriseboisAndreas Borgman50122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chris ThorburnLuke Gazdic50122
2Tom PyattMatt Beleskey50122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt GrzelcykVictor Mete70122
2Brian LashoffMatt Bartkowski30122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Shane Gersich50122Matt GrzelcykVictor Mete70122
2Sean Malone50122Brian LashoffMatt Bartkowski30122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Gerald MayhewTom Pyatt50122
2Sean MaloneChris Thorburn50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andreas BorgmanMatt Grzelcyk50122
2Guillaume BriseboisVictor Mete50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Shane GersichGerald MayhewDenis GurianovVictor MeteMatt Grzelcyk
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tom PyattChris ThorburnDenis GurianovVictor MeteMatt Grzelcyk
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Shane Gersich, Denis Gurianov, Gerald MayhewShane Gersich, Matt BeleskeyShane Gersich
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andreas Borgman, Brian Lashoff, Matt BartkowskiMatt GrzelcykDavid Warsofsky, Urho Vaakanainen
Tirs de Pénalité
Denis Gurianov, Shane Gersich, Gerald Mayhew, Matt Beleskey, Pierre Engvall
Gardien
#1 : Evan Cormier, #2 : Atte Tolvanen


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
1Binghampton Senators20100001911-21010000056-11000000145-110.25091524008014714513808831133104670631917448450.00%6433.33%0994184553.88%1012197651.21%772152750.56%173095717107561538771
2Boisbriand Armada31200000211831010000067-1211000001511420.3332134550080147145131208831133104670131601035513646.15%9544.44%0994184553.88%1012197651.21%772152750.56%173095717107561538771
3Brampton Battalion210000011073110000009541000000112-130.750101424008014714513758831133104670742563447228.57%4175.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
4Bridgeport Sound Tigers31200000161602110000010911010000067-120.3331622380080147145131318831133104670110379652900.00%8275.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
5Calgary Hitman32100000191632200000014951010000057-240.66719335200801471451311688311331046701103431587114.29%8275.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
6Chicago Wolves32100000171431010000045-122000000139440.66717284500801471451311288311331046701353219486350.00%70100.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
7Chicoutimi Sagueneens321000001413122000000131031010000013-240.66714253900801471451311588311331046701254999489111.11%17570.59%1994184553.88%1012197651.21%772152750.56%173095717107561538771
8Drummondville Voltigeurs210010001082110000005411000100054141.000101727008014714513758831133104670662445485120.00%10280.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
9Grand Rapids Griffins330000002312111100000083522000000159661.00023376000801471451311688311331046701263354549666.67%7357.14%0994184553.88%1012197651.21%772152750.56%173095717107561538771
10Hartford Wolf Pack430010002417722000000118321001000139481.000244165008014714513176883113310467014553756311218.18%10460.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
11Hershey Bears421000011815321100000853210000011010050.625182846008014714513144883113310467015156489816531.25%14378.57%1994184553.88%1012197651.21%772152750.56%173095717107561538771
12Lake Erie Monsters3210000012111220000009541010000036-340.667122032008014714513818831133104670111441205111545.45%16568.75%2994184553.88%1012197651.21%772152750.56%173095717107561538771
13Las Vegas Wranglers211000008711010000034-11100000053220.50081220008014714513808831133104670932636422150.00%30100.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
14Laval Rockets312000001114-31010000045-12110000079-220.333111829008014714513125883113310467012243366310220.00%8362.50%0994184553.88%1012197651.21%772152750.56%173095717107561538771
15London Knights220000001367110000007521100000061541.0001321340080147145137988311331046706324102306233.33%8187.50%1994184553.88%1012197651.21%772152750.56%173095717107561538771
16Lowell Devils312000001017-71100000043120200000614-820.33310172700801471451311588311331046701344560584250.00%15566.67%0994184553.88%1012197651.21%772152750.56%173095717107561538771
17Milwaukee Admirals2010001069-3100000103211010000037-420.500681400801471451371883113310467067342637200.00%8362.50%0994184553.88%1012197651.21%772152750.56%173095717107561538771
18Peoria Riverman311010001818011000000107320101000811-340.66718304800801471451313288311331046701174829529111.11%7185.71%0994184553.88%1012197651.21%772152750.56%173095717107561538771
19Philadelphia Phantoms30200001619-1320200000315-121000000134-110.16761016008014714513978831133104670127335250200.00%6266.67%0994184553.88%1012197651.21%772152750.56%173095717107561538771
20Portland Pirates31001100171252100010012841000100054150.83317284500801471451312588311331046701314345556466.67%10280.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
21Quebec Rempart211000007701010000036-31100000041320.50071219008014714513678831133104670662429277228.57%20100.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
22Rimouski Oceanic4210000115123211000007522100000187150.6251523380080147145131458831133104670103301039810110.00%9455.56%0994184553.88%1012197651.21%772152750.56%173095717107561538771
23Rochester Americans301001011114-32000010179-21010000045-120.33311193000801471451310388311331046701232861558337.50%8187.50%1994184553.88%1012197651.21%772152750.56%173095717107561538771
24Seattle Thunderbirds3210000013103220000009451010000046-240.667132134008014714513103883113310467087381367010660.00%13376.92%1994184553.88%1012197651.21%772152750.56%173095717107561538771
25Sherbrooke Phoenix2110000012120110000006511010000067-120.500121830008014714513718831133104670812051414250.00%8275.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
26Texas Stars31200000911-2110000005412020000047-320.3339162500801471451312388311331046701262845512150.00%10370.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
27Toronto Marlies201010006601010000034-11000100032120.5006101600801471451387883113310467075316553400.00%10370.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
Total8235310523638036713412213002312021782441131805005178189-11940.5733806129920080147145133108883113310467031381048181715582086631.73%2647671.21%7994184553.88%1012197651.21%772152750.56%173095717107561538771
29Victoriaville Tigres302000101318-51000001087120200000511-620.3331318310080147145138788311331046701213370496350.00%10460.00%0994184553.88%1012197651.21%772152750.56%173095717107561538771
30Worcester Sharks412000101217-52010001069-32110000068-240.50012172900801471451315788311331046701555410164500.00%13376.92%0994184553.88%1012197651.21%772152750.56%173095717107561538771
_Since Last GM Reset8235310523638036713412213002312021782441131805005178189-11940.5733806129920080147145133108883113310467031381048181715582086631.73%2647671.21%7994184553.88%1012197651.21%772152750.56%173095717107561538771
_Vs Conference4622160311321320013231380011011097132398030031031030560.6092133445570080147145131801883113310467017605779388661143228.07%1393872.66%3994184553.88%1012197651.21%772152750.56%173095717107561538771
_Vs Division228401012116106101043000105546912410100261601220.5001161832990080147145139088831133104670856288442389571322.81%611870.49%0994184553.88%1012197651.21%772152750.56%173095717107561538771

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8294SOL23806129923108313810481817155800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8235315236380367
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4122130231202178
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4113185005178189
Derniers 10 Matchs
WLOTWOTL SOWSOL
430003
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2086631.73%2647671.21%7
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
88311331046708014714513
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
994184553.88%1012197651.21%772152750.56%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
173095717107561538771


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 - 2019-10-0512Manitoba Moose11Boisbriand Armada3WSommaire du Match
4 - 2019-10-0726Philadelphia Phantoms7Manitoba Moose2LSommaire du Match
5 - 2019-10-0840Worcester Sharks4Manitoba Moose5WXXSommaire du Match
7 - 2019-10-1062Seattle Thunderbirds2Manitoba Moose6WSommaire du Match
8 - 2019-10-1174Manitoba Moose2Worcester Sharks5LSommaire du Match
10 - 2019-10-1393Portland Pirates5Manitoba Moose4LXSommaire du Match
11 - 2019-10-14100Manitoba Moose2Peoria Riverman6LSommaire du Match
13 - 2019-10-16117Manitoba Moose6Chicago Wolves3WSommaire du Match
15 - 2019-10-18132Manitoba Moose4Hartford Wolf Pack3WXSommaire du Match
16 - 2019-10-19148Hartford Wolf Pack4Manitoba Moose5WSommaire du Match
18 - 2019-10-21160Chicoutimi Sagueneens4Manitoba Moose6WSommaire du Match
19 - 2019-10-22177Manitoba Moose9Grand Rapids Griffins5WSommaire du Match
20 - 2019-10-23185Manitoba Moose3Laval Rockets2WSommaire du Match
23 - 2019-10-26205Rochester Americans6Manitoba Moose5LXXSommaire du Match
25 - 2019-10-28222Lake Erie Monsters3Manitoba Moose6WSommaire du Match
27 - 2019-10-30245Hershey Bears4Manitoba Moose3LSommaire du Match
29 - 2019-11-01262Manitoba Moose4Rochester Americans5LSommaire du Match
30 - 2019-11-02275Chicoutimi Sagueneens6Manitoba Moose7WSommaire du Match
31 - 2019-11-03282Manitoba Moose4Laval Rockets7LSommaire du Match
33 - 2019-11-05301Boisbriand Armada7Manitoba Moose6LSommaire du Match
34 - 2019-11-06312Manitoba Moose4Boisbriand Armada8LSommaire du Match
36 - 2019-11-08331Manitoba Moose6London Knights1WSommaire du Match
37 - 2019-11-09340Sherbrooke Phoenix5Manitoba Moose6WSommaire du Match
39 - 2019-11-11358Manitoba Moose6Bridgeport Sound Tigers7LSommaire du Match
40 - 2019-11-12370Rimouski Oceanic2Manitoba Moose5WSommaire du Match
42 - 2019-11-14387Manitoba Moose6Peoria Riverman5WXSommaire du Match
44 - 2019-11-16403Las Vegas Wranglers4Manitoba Moose3LSommaire du Match
45 - 2019-11-17420Manitoba Moose4Binghampton Senators5LXXSommaire du Match
46 - 2019-11-18430Quebec Rempart6Manitoba Moose3LSommaire du Match
48 - 2019-11-20449Manitoba Moose5Portland Pirates4WXSommaire du Match
49 - 2019-11-21462Victoriaville Tigres7Manitoba Moose8WXXSommaire du Match
51 - 2019-11-23477Manitoba Moose1Chicoutimi Sagueneens3LSommaire du Match
52 - 2019-11-24491Rimouski Oceanic3Manitoba Moose2LSommaire du Match
54 - 2019-11-26509Binghampton Senators6Manitoba Moose5LSommaire du Match
56 - 2019-11-28525Manitoba Moose9Hartford Wolf Pack6WSommaire du Match
57 - 2019-11-29541Manitoba Moose6Sherbrooke Phoenix7LSommaire du Match
59 - 2019-12-01552Manitoba Moose4Quebec Rempart1WSommaire du Match
60 - 2019-12-02561Hartford Wolf Pack4Manitoba Moose6WSommaire du Match
62 - 2019-12-04580Calgary Hitman3Manitoba Moose5WSommaire du Match
64 - 2019-12-06603Lowell Devils3Manitoba Moose4WSommaire du Match
65 - 2019-12-07614Manitoba Moose5Las Vegas Wranglers3WSommaire du Match
67 - 2019-12-09632Rochester Americans3Manitoba Moose2LXSommaire du Match
69 - 2019-12-11645Manitoba Moose0Victoriaville Tigres2LSommaire du Match
70 - 2019-12-12661Manitoba Moose5Calgary Hitman7LSommaire du Match
71 - 2019-12-13671Peoria Riverman7Manitoba Moose10WSommaire du Match
73 - 2019-12-15691Calgary Hitman6Manitoba Moose9WSommaire du Match
75 - 2019-12-17706Manitoba Moose3Lowell Devils4LSommaire du Match
76 - 2019-12-18714Manitoba Moose4Worcester Sharks3WSommaire du Match
77 - 2019-12-19732Worcester Sharks5Manitoba Moose1LSommaire du Match
80 - 2019-12-22751Grand Rapids Griffins3Manitoba Moose8WSommaire du Match
81 - 2019-12-23765Manitoba Moose3Lowell Devils10LSommaire du Match
82 - 2019-12-24778Manitoba Moose4Seattle Thunderbirds6LSommaire du Match
83 - 2019-12-25790Laval Rockets5Manitoba Moose4LSommaire du Match
85 - 2019-12-27811Toronto Marlies4Manitoba Moose3LSommaire du Match
86 - 2019-12-28816Manitoba Moose2Texas Stars3LSommaire du Match
89 - 2019-12-31842Texas Stars4Manitoba Moose5WSommaire du Match
90 - 2020-01-01851Manitoba Moose5Hershey Bears6LXXSommaire du Match
92 - 2020-01-03872Milwaukee Admirals2Manitoba Moose3WXXSommaire du Match
93 - 2020-01-04883Manitoba Moose5Drummondville Voltigeurs4WXSommaire du Match
94 - 2020-01-05892Manitoba Moose5Hershey Bears4WSommaire du Match
96 - 2020-01-07913Manitoba Moose3Lake Erie Monsters6LSommaire du Match
97 - 2020-01-08921Lake Erie Monsters2Manitoba Moose3WSommaire du Match
99 - 2020-01-10943Brampton Battalion5Manitoba Moose9WSommaire du Match
100 - 2020-01-11949Manitoba Moose7Chicago Wolves6WSommaire du Match
101 - 2020-01-12963Manitoba Moose2Texas Stars4LSommaire du Match
104 - 2020-01-15983Portland Pirates3Manitoba Moose8WSommaire du Match
106 - 2020-01-171004London Knights5Manitoba Moose7WSommaire du Match
109 - 2020-01-201028Bridgeport Sound Tigers4Manitoba Moose2LSommaire du Match
110 - 2020-01-211040Manitoba Moose6Grand Rapids Griffins4WSommaire du Match
112 - 2020-01-231057Hershey Bears1Manitoba Moose5WSommaire du Match
113 - 2020-01-241070Manitoba Moose3Toronto Marlies2WXSommaire du Match
115 - 2020-01-261087Manitoba Moose3Milwaukee Admirals7LSommaire du Match
116 - 2020-01-271093Philadelphia Phantoms8Manitoba Moose1LSommaire du Match
119 - 2020-01-301116Drummondville Voltigeurs4Manitoba Moose5WSommaire du Match
120 - 2020-01-311133Manitoba Moose5Victoriaville Tigres9LSommaire du Match
122 - 2020-02-021146Bridgeport Sound Tigers5Manitoba Moose8WSommaire du Match
123 - 2020-02-031150Manitoba Moose1Brampton Battalion2LXXSommaire du Match
125 - 2020-02-051174Chicago Wolves5Manitoba Moose4LSommaire du Match
128 - 2020-02-081194Manitoba Moose5Rimouski Oceanic3WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
129 - 2020-02-091203Seattle Thunderbirds2Manitoba Moose3WSommaire du Match
132 - 2020-02-121218Manitoba Moose3Philadelphia Phantoms4LXXSommaire du Match
133 - 2020-02-131229Manitoba Moose3Rimouski Oceanic4LXXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance64,38231,618
Assistance PCT78.51%77.12%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2341 - 78.05% 99,126$4,064,186$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,668,939$ 2,704,591$ 2,288,758$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 2,668,939$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 20,631$ 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
20198235310523638036713412213002312021782441131805005178189-11943806129920080147145133108883113310467031381048181715582086631.73%2647671.21%7994184553.88%1012197651.21%772152750.56%173095717107561538771
Total Saison Régulière8235310523638036713412213002312021782441131805005178189-11943806129920080147145133108883113310467031381048181715582086631.73%2647671.21%7994184553.88%1012197651.21%772152750.56%173095717107561538771