MANITOBA Moose

GP: 70 | W: 44 | L: 23 | OTL: 3 | P: 91
GF: 367 | GA: 150 | PP%: 19.08% | PK%: 87.50%
DG: Alex Blais | Morale : 94 | Moyenne d'Équipe : 59
Prochain matchs #912 vs STOCKTON Flames
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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
1Riley Nash0XX100.006641746475769163766562636369566681680
2Andy Andreoff0XX100.007644676974746264406563606656555581650
3Rocco Grimaldi0XX100.006035756762717666706664606554517383640
4Ryan Poehling (R)0X100.006235776277785062706061666250558388630
5Marko Dano0XX100.005668596975525469686060516156527781600
6Mark McNeill0XX100.005889656783505067705656505650507982580
7Liam O'Brien0X100.005789466580505065505858505851504281580
8Jiri Sekac0X100.005938806970464758315550595360497181570
9Scott Kosmachuk0X100.005089636769505067505959505950506481570
10Lucas Lessio0X100.005737746775454557315154615958477981560
11Louis-Marc Aubry0X100.005441666484504554435051515264615581560
12Sebastian Collberg (R)0X100.004635807067454052304946505156518780530
13Brandon Manning0X100.007056756078706960305557736460533686640
14Gustav Olofsson0X100.006241816276735872305547666252517181620
15Justin Falk0X100.007462715994535559304946575661534781590
16Zach Trotman0X100.006435705987595659305046585653514081580
17Jan Kostalek0X100.005641755072525453303939605650504493520
Rayé
1Cal O'Reilly0X100.005089707072505070706060506056522962590
2Brian Strait0X100.005589715079435050304540505057525246510
MOYENNE D'ÉQUIPE100.00605570647657556146555457585652618059
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
1Chad Johnson100.00717170837070717070706664683576640
2Jonas Gustavsson100.0065576681696866676674627872581620
Rayé
MOYENNE D'ÉQUIPE100.0068646882706969696872647170207963
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dale Hunter65656565767654CAN59382,000$


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
1Riley NashMANITOBA Moose (WPG)C/RW68575010780220531434017425514.21%22142921.0335832133123122213062.40%166500061.5035000775
2Andy AndreoffMANITOBA Moose (WPG)C/LW66355792655751699634510422910.14%16133020.164594912920292033353.68%9500021.3825100724
3Marko DanoMANITOBA Moose (WPG)C/LW7032589062455104682878020711.15%12105215.0441115261260111243072.34%14100021.7101010356
4Gustav OlofssonMANITOBA Moose (WPG)D7019607962500132751564710612.18%91164723.5471118451510332202020.00%000000.9611000524
5Mark McNeillMANITOBA Moose (WPG)C/RW702451756347511366271852158.86%22103714.83491320129000011272.31%6500111.4500100254
6Rocco GrimaldiMANITOBA Moose (WPG)C/RW45283866554024672206814712.73%786819.29235218210151153157.79%19900031.5202000427
7Cal O'ReillyMANITOBA Moose (WPG)C592539645021523572204515411.36%1174112.570112221014312070.13%71300011.7311000321
8Liam O'BrienMANITOBA Moose (WPG)LW7027325965520113551865416314.52%2494013.431015150001708059.77%8700011.2500000031
9Scott KosmachukMANITOBA Moose (WPG)RW702731585316047452646216310.23%1981811.7000016000014067.92%5300011.4211000412
10Zach TrotmanMANITOBA Moose (WPG)D7011374881540753582366513.41%49125918.00246241090111184100.00%000000.7600000031
11Brandon ManningMANITOBA Moose (WPG)D481432465865513543118378311.86%66118124.6131419790004132300.00%000000.7800100043
12Louis-Marc AubryMANITOBA Moose (WPG)C70142337232204850126269011.11%670510.0700001000021061.49%68300001.0500000000
13Justin FalkMANITOBA Moose (WPG)D705323783780164347430466.76%62141220.18336191040113161210.00%000000.5200000002
14Jiri SekacMANITOBA Moose (WPG)LW70142236201805448175481078.00%1771410.2100002000042062.22%4500001.0100000000
15Sebastian CollbergMANITOBA Moose (WPG)RW60914231200102382195810.98%85979.9600001000000048.28%2900000.7700000010
16Jan KostalekMANITOBA Moose (WPG)D3302222611604664313310.00%2656517.13000416000038000.00%000000.7800000000
17Ryan PoehlingMANITOBA Moose (WPG)C191110212060122792315911.96%834518.190337340006483070.10%31100011.2100000210
18Tommy WingelsWINNIPEG JetsC/RW64141818402256016536.67%014524.26000250007210079.73%14800002.4700000220
19Lucas LessioMANITOBA Moose (WPG)LW7059141940101241162412.20%52173.110001190001311040.00%2000001.2901000010
20Sean KuralyWINNIPEG JetsC55611640993382415.15%09118.2401102000050065.12%8600002.4100000110
21Brian StraitMANITOBA Moose (WPG)D18281040120193136915.38%629716.5300002000022000.00%000000.6700000000
Stats d'équipe Total ou en Moyenne112736864510139965972513829673289905228811.19%4771740115.443357902771176581356152640964.61%4340001181.16817310404240
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
1Chad JohnsonMANITOBA Moose (WPG)70442330.9112.114162101414616470520.75020700512
2Jonas GustavssonMANITOBA Moose (WPG)20000.9770.9166001440000.0000070000
Stats d'équipe Total ou en Moyenne72442330.9132.094228101414716910520.750207070512


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
Andy AndreoffMANITOBA Moose (WPG)C/LW281991-05-17No92 Kg185 CMNoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Brandon ManningMANITOBA Moose (WPG)D291990-06-04No93 Kg185 CMNoNoNo4Sans RestrictionPro & Farm2,250,000$0$0$NoLien
Brian StraitMANITOBA Moose (WPG)D311988-01-04No94 Kg185 CMNoNoNo1Sans RestrictionPro & Farm650,000$0$0$NoLien
Cal O'ReillyMANITOBA Moose (WPG)C321986-09-30No85 Kg183 CMNoNoNo4Sans RestrictionPro & Farm750,000$0$0$NoLien
Chad JohnsonMANITOBA Moose (WPG)G331986-06-10No90 Kg191 CMNoNoNo4Sans RestrictionPro & Farm1,500,000$0$0$NoLien
Gustav OlofssonMANITOBA Moose (WPG)D241994-12-01No89 Kg191 CMNoNoNo6Avec RestrictionPro & Farm750,000$0$0$NoLien
Jan KostalekMANITOBA Moose (WPG)D241995-02-17No89 Kg185 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Jiri SekacMANITOBA Moose (WPG)LW271992-06-10No84 Kg185 CMNoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Jonas GustavssonMANITOBA Moose (WPG)G341984-10-24No91 Kg193 CMNoNoNo5Sans RestrictionPro & Farm750,000$0$0$No
Justin FalkMANITOBA Moose (WPG)D301988-10-11No101 Kg196 CMNoNoNo3Sans RestrictionPro & Farm750,000$0$0$NoLien
Liam O'BrienMANITOBA Moose (WPG)LW251994-07-29No98 Kg185 CMNoNoNo1Avec RestrictionPro & Farm750,000$0$0$NoLien
Louis-Marc AubryMANITOBA Moose (WPG)C271991-11-11No99 Kg193 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$No
Lucas LessioMANITOBA Moose (WPG)LW261993-01-23No96 Kg185 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$No
Mark McNeillMANITOBA Moose (WPG)C/RW261993-02-22No97 Kg188 CMNoNoNo5Avec RestrictionPro & Farm750,000$0$0$NoLien
Marko DanoMANITOBA Moose (WPG)C/LW241994-11-30No96 Kg180 CMNoNoNo4Avec RestrictionPro & Farm950,000$0$0$NoLien
Riley NashMANITOBA Moose (WPG)C/RW301989-05-09No86 Kg185 CMNoNoNo1Sans RestrictionPro & Farm900,000$0$0$NoLien
Rocco GrimaldiMANITOBA Moose (WPG)C/RW261993-02-08No82 Kg168 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Ryan PoehlingMANITOBA Moose (WPG)C201999-01-03Yes83 Kg188 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Scott KosmachukMANITOBA Moose (WPG)RW251994-01-24No84 Kg180 CMNoNoNo4Avec RestrictionPro & Farm750,000$0$0$NoLien
Sebastian CollbergMANITOBA Moose (WPG)RW251994-02-23Yes89 Kg180 CMNoNoNo6Avec RestrictionPro & Farm925,000$0$0$No
Zach TrotmanMANITOBA Moose (WPG)D291990-08-26No99 Kg191 CMNoNoNo4Sans RestrictionPro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2127.3891 Kg185 CM3.48889,286$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andy AndreoffRiley Nash31122
2Marko DanoMark McNeill26122
3Liam O'BrienScott Kosmachuk23122
4Jiri SekacLouis-Marc AubrySebastian Collberg20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav Olofsson31122
2Justin FalkZach Trotman26122
323122
4Gustav OlofssonJustin Falk20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andy AndreoffRiley Nash55122
2Marko DanoMark McNeill45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav Olofsson55122
2Justin FalkZach Trotman45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Riley NashAndy Andreoff55122
245122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav Olofsson55122
2Justin FalkZach Trotman45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Riley Nash55122Gustav Olofsson55122
2Andy Andreoff45122Justin FalkZach Trotman45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Riley NashAndy Andreoff55122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav Olofsson55122
2Justin FalkZach Trotman45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andy AndreoffRiley NashGustav Olofsson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andy AndreoffRiley NashGustav Olofsson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lucas Lessio, , Liam O'BrienLucas Lessio, Liam O'Brien
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Zach Trotman, Zach Trotman,
Tirs de Pénalité
Riley Nash, Andy Andreoff, , , Marko Dano
Gardien
#1 : Chad Johnson, #2 : Jonas Gustavsson
Lignes d'Attaque Perso. en Prol.
Riley Nash, Andy Andreoff, , , Marko Dano, , , Mark McNeill, Liam O'Brien, Jiri Sekac, Scott Kosmachuk
Lignes de Défense Perso. en Prol.
, Gustav Olofsson, Justin Falk, Zach Trotman,


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
1BELLEVILLE Senators330000001459110000006332200000082661.0001424380018910468101831037105711444565201410911100.00%70100.00%01293219758.85%944188150.19%675111160.76%208816301390394752405
2BRIDGEPORT Sound Tigers210000017521000000134-11100000041330.75071320001891046810561037105711444562212034700.00%70100.00%01293219758.85%944188150.19%675111160.76%208816301390394752405
3BROOKLYN Wolfpack22000000220221100000010010110000001201241.0002242640218910468101501037105711444560634000.00%30100.00%01293219758.85%944188150.19%675111160.76%208816301390394752405
4CHICAGO Wolves220000001046110000005231100000052341.000101626001891046810681037105711444578203549600.00%14192.86%01293219758.85%944188150.19%675111160.76%208816301390394752405
5CLEVELAND Monsters22000000211201100000010010110000001111041.0002138590118910468101541037105711444517544711100.00%20100.00%01293219758.85%944188150.19%675111160.76%208816301390394752405
6COLORADO Eagles2020000025-31010000012-11010000013-200.00024600189104681050103710571144455213164310220.00%8187.50%01293219758.85%944188150.19%675111160.76%208816301390394752405
7CORNWALL Aces33000000342321100000013112220000002112061.0003462960118910468102831037105711444540412502150.00%60100.00%11293219758.85%944188150.19%675111160.76%208816301390394752405
8HERSEY Bears2020000017-61010000004-41010000013-200.000123001891046810741037105711444550172634600.00%11281.82%01293219758.85%944188150.19%675111160.76%208816301390394752405
9HOLLYWOOD Oscar44000000393362200000021120220000001821681.0003967106021891046810373103710571144453091459000.00%60100.00%01293219758.85%944188150.19%675111160.76%208816301390394752405
10IOWA Wild41101010188102000101064221100000124860.750183048001891046810161103710571144459739429110440.00%19289.47%01293219758.85%944188150.19%675111160.76%208816301390394752405
11LAVAL Rockets30300000814-620200000610-41010000024-200.00081422001891046810771037105711444512230266519421.05%12283.33%01293219758.85%944188150.19%675111160.76%208816301390394752405
12LEHIGH VALLEY Phantoms41300000813-52110000056-12020000037-420.2508142210189104681090103710571144451563738771000.00%16381.25%01293219758.85%944188150.19%675111160.76%208816301390394752405
13MILWAUKEE Admirals2110000067-1110000003211010000035-220.500611170018910468104510371057114445581424298225.00%11281.82%01293219758.85%944188150.19%675111160.76%208816301390394752405
14MONT-LAURIER Sommet2100001011562100001011560000000000041.0001117280018910468107210371057114445631435429222.22%14192.86%11293219758.85%944188150.19%675111160.76%208816301390394752405
15PROVIDENCE Bruins2020000029-71010000024-21010000005-500.0002460018910468104910371057114445592618287114.29%6266.67%01293219758.85%944188150.19%675111160.76%208816301390394752405
16PV Sharapovas31100100511-62110000027-51000010034-130.5005813001891046810671037105711444510730396015320.00%13192.31%01293219758.85%944188150.19%675111160.76%208816301390394752405
17ROCKFORD IceHogs411010101192211000004402000101075260.750111829001891046810951037105711444510136406515426.67%13192.31%01293219758.85%944188150.19%675111160.76%208816301390394752405
18SAN DIEGO Gulls2200000015015110000008081100000070741.00015243902189104681017210371057114445102061000.00%000.00%01293219758.85%944188150.19%675111160.76%208816301390394752405
19STOCKTON Flames422000002391421100000134921100000105540.500234467011891046810188103710571144456425281007114.29%14471.43%01293219758.85%944188150.19%675111160.76%208816301390394752405
20SYRACUSE Crunch31100010177102110000014591000001032140.66717294601189104681016710371057114445632118387114.29%8362.50%01293219758.85%944188150.19%675111160.76%208816301390394752405
21TORONTO Marlies330000002332011000000716220000001621461.00023436601189104681015710371057114445721630754250.00%13192.31%01293219758.85%944188150.19%675111160.76%208816301390394752405
22TUSCON Roadrunners2020000026-41010000024-21010000002-200.000235101891046810581037105711444570252439600.00%12191.67%01293219758.85%944188150.19%675111160.76%208816301390394752405
Total7038230224136715021736201201021188801083418110122017970109910.65036764710142141891046810326510371057114445169349062514361733319.08%2643387.50%51293219758.85%944188150.19%675111160.76%208816301390394752405
24UTICA Comets22000000734110000003211100000041341.000713200018910468104810371057114445752426416116.67%12283.33%01293219758.85%944188150.19%675111160.76%208816301390394752405
25VICTORIAVILLE Tigres4120010014131211000008532010010068-230.3751422360018910468109810371057114445146376610615320.00%25484.00%11293219758.85%944188150.19%675111160.76%208816301390394752405
26WILKIES-BARRIE Penguins44000000471462200000025025220000002212181.0004785132031891046810330103710571144453052460200.00%120100.00%21293219758.85%944188150.19%675111160.76%208816301390394752405
_Since Last GM Reset7038230224136715021736201201021188801083418110122017970109910.65036764710142141891046810326510371057114445169349062514361733319.08%2643387.50%51293219758.85%944188150.19%675111160.76%208816301390394752405
_Vs Conference41251001230253801732113501020131428920125002101223884600.732253445698191891046810216910371057114445933257360867821821.95%1531987.58%51293219758.85%944188150.19%675111160.76%208816301390394752405
_Vs Division20108011201035152106301020503119104500100532033270.67510318428703189104681098310371057114445528147157425551323.64%65986.15%11293219758.85%944188150.19%675111160.76%208816301390394752405

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7091W23676471014326516934906251436214
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7038232241367150
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
362012102118880
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
341811122017970
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1733319.08%2643387.50%5
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
103710571144451891046810
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
1293219758.85%944188150.19%675111160.76%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
208816301390394752405


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 - 2019-07-304MANITOBA Moose8STOCKTON Flames1WSommaire du Match
2 - 2019-07-3117MONT-LAURIER Sommet4MANITOBA Moose9WSommaire du Match
3 - 2019-08-0139SYRACUSE Crunch0MANITOBA Moose12WSommaire du Match
4 - 2019-08-0249MANITOBA Moose11WILKIES-BARRIE Penguins0WSommaire du Match
6 - 2019-08-0460MANITOBA Moose10TORONTO Marlies2WSommaire du Match
7 - 2019-08-0571MANITOBA Moose12HOLLYWOOD Oscar2WSommaire du Match
8 - 2019-08-0678STOCKTON Flames0MANITOBA Moose12WSommaire du Match
10 - 2019-08-0893ROCKFORD IceHogs2MANITOBA Moose0LSommaire du Match
11 - 2019-08-09108TORONTO Marlies1MANITOBA Moose7WSommaire du Match
12 - 2019-08-10122MANITOBA Moose10IOWA Wild1WSommaire du Match
14 - 2019-08-12141MANITOBA Moose4BELLEVILLE Senators1WSommaire du Match
15 - 2019-08-13146MANITOBA Moose13CORNWALL Aces0WSommaire du Match
16 - 2019-08-14154VICTORIAVILLE Tigres1MANITOBA Moose7WR3Sommaire du Match
18 - 2019-08-16178WILKIES-BARRIE Penguins0MANITOBA Moose12WSommaire du Match
20 - 2019-08-18195MANITOBA Moose3ROCKFORD IceHogs2WXSommaire du Match
21 - 2019-08-19201HOLLYWOOD Oscar0MANITOBA Moose8WSommaire du Match
22 - 2019-08-20212MANITOBA Moose1HERSEY Bears3LSommaire du Match
24 - 2019-08-22229MANITOBA Moose4BELLEVILLE Senators1WSommaire du Match
25 - 2019-08-23237WILKIES-BARRIE Penguins0MANITOBA Moose13WSommaire du Match
26 - 2019-08-24250COLORADO Eagles2MANITOBA Moose1LSommaire du Match
27 - 2019-08-25261MANITOBA Moose11WILKIES-BARRIE Penguins1WSommaire du Match
28 - 2019-08-26278STOCKTON Flames4MANITOBA Moose1LSommaire du Match
29 - 2019-08-27291CLEVELAND Monsters0MANITOBA Moose10WSommaire du Match
30 - 2019-08-28307MANITOBA Moose4BRIDGEPORT Sound Tigers1WSommaire du Match
31 - 2019-08-29320MONT-LAURIER Sommet1MANITOBA Moose2WXXSommaire du Match
32 - 2019-08-30333MANITOBA Moose6HOLLYWOOD Oscar0WSommaire du Match
34 - 2019-09-01346MANITOBA Moose3MILWAUKEE Admirals5LSommaire du Match
35 - 2019-09-02352IOWA Wild1MANITOBA Moose2WXSommaire du Match
36 - 2019-09-03369MANITOBA Moose1COLORADO Eagles3LSommaire du Match
37 - 2019-09-04384MILWAUKEE Admirals2MANITOBA Moose3WSommaire du Match
39 - 2019-09-06399HOLLYWOOD Oscar1MANITOBA Moose13WSommaire du Match
40 - 2019-09-07409MANITOBA Moose12BROOKLYN Wolfpack0WSommaire du Match
42 - 2019-09-09419MANITOBA Moose0PROVIDENCE Bruins5LSommaire du Match
43 - 2019-09-10434MANITOBA Moose1LEHIGH VALLEY Phantoms3LSommaire du Match
44 - 2019-09-11440SAN DIEGO Gulls0MANITOBA Moose8WSommaire du Match
46 - 2019-09-13462MANITOBA Moose11CLEVELAND Monsters1WSommaire du Match
47 - 2019-09-14469PV Sharapovas1MANITOBA Moose2WSommaire du Match
48 - 2019-09-15487MANITOBA Moose2IOWA Wild3LSommaire du Match
49 - 2019-09-16495SYRACUSE Crunch5MANITOBA Moose2LSommaire du Match
50 - 2019-09-17514BROOKLYN Wolfpack0MANITOBA Moose10WSommaire du Match
51 - 2019-09-18526MANITOBA Moose2STOCKTON Flames4LSommaire du Match
53 - 2019-09-20536IOWA Wild3MANITOBA Moose4WXXSommaire du Match
54 - 2019-09-21551MANITOBA Moose0TUSCON Roadrunners2LSommaire du Match
55 - 2019-09-22563MANITOBA Moose2LAVAL Rockets4LSommaire du Match
57 - 2019-09-24568UTICA Comets2MANITOBA Moose3WSommaire du Match
59 - 2019-09-26591LEHIGH VALLEY Phantoms2MANITOBA Moose3WSommaire du Match
61 - 2019-09-28608MANITOBA Moose8CORNWALL Aces1WSommaire du Match
62 - 2019-09-29613VICTORIAVILLE Tigres4MANITOBA Moose1LR3Sommaire du Match
64 - 2019-10-01626MANITOBA Moose3SYRACUSE Crunch2WXXSommaire du Match
66 - 2019-10-03639MANITOBA Moose4UTICA Comets1WSommaire du Match
67 - 2019-10-04649BRIDGEPORT Sound Tigers4MANITOBA Moose3LXXSommaire du Match
68 - 2019-10-05666HERSEY Bears4MANITOBA Moose0LSommaire du Match
70 - 2019-10-07677MANITOBA Moose4ROCKFORD IceHogs3WXXSommaire du Match
72 - 2019-10-09694ROCKFORD IceHogs2MANITOBA Moose4WSommaire du Match
73 - 2019-10-10708MANITOBA Moose2LEHIGH VALLEY Phantoms4LSommaire du Match
74 - 2019-10-11717LAVAL Rockets5MANITOBA Moose4LSommaire du Match
75 - 2019-10-12731MANITOBA Moose3VICTORIAVILLE Tigres4LR3Sommaire du Match
77 - 2019-10-14745PV Sharapovas6MANITOBA Moose0LSommaire du Match
78 - 2019-10-15755MANITOBA Moose3PV Sharapovas4LXSommaire du Match
79 - 2019-10-16766MANITOBA Moose3VICTORIAVILLE Tigres4LXR3Sommaire du Match
80 - 2019-10-17776PROVIDENCE Bruins4MANITOBA Moose2LSommaire du Match
82 - 2019-10-19798LAVAL Rockets5MANITOBA Moose2LSommaire du Match
84 - 2019-10-21817MANITOBA Moose5CHICAGO Wolves2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22825MANITOBA Moose7SAN DIEGO Gulls0WSommaire du Match
86 - 2019-10-23836CHICAGO Wolves2MANITOBA Moose5WSommaire du Match
87 - 2019-10-24850LEHIGH VALLEY Phantoms4MANITOBA Moose2LSommaire du Match
89 - 2019-10-26867BELLEVILLE Senators3MANITOBA Moose6WSommaire du Match
90 - 2019-10-27882TUSCON Roadrunners4MANITOBA Moose2LSommaire du Match
92 - 2019-10-29896MANITOBA Moose6TORONTO Marlies0WSommaire du Match
93 - 2019-10-30911CORNWALL Aces1MANITOBA Moose13WSommaire du Match
94 - 2019-10-31912MANITOBA Moose-STOCKTON Flames-
95 - 2019-11-01926MANITOBA Moose-MONT-LAURIER Sommet-
98 - 2019-11-04950BELLEVILLE Senators-MANITOBA Moose-
100 - 2019-11-06964TORONTO Marlies-MANITOBA Moose-
101 - 2019-11-07971MANITOBA Moose-MONT-LAURIER Sommet-
103 - 2019-11-09990MANITOBA Moose-PV Sharapovas-
104 - 2019-11-10996MANITOBA Moose-SYRACUSE Crunch-
106 - 2019-11-121010CORNWALL Aces-MANITOBA Moose-



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
3 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,653,820$ 1,867,500$ 1,867,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,582,501$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 18,220$ 255,080$




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
3270382302241367150217362012010211888010834181101220179701099136764710142141891046810326510371057114445169349062514361733319.08%2643387.50%51293219758.85%944188150.19%675111160.76%208816301390394752405
Total Saison Régulière70382302241367150217362012010211888010834181101220179701099136764710142141891046810326510371057114445169349062514361733319.08%2643387.50%51293219758.85%944188150.19%675111160.76%208816301390394752405