Manitoba Moose

GP: 9 | W: 4 | L: 5 | OTL: 0 | P: 8
GF: 29 | GA: 31 | PP%: 17.39% | PK%: 58.33%
DG: Tobias | Morale : 63 | 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
1Jack Roslovic0XX100.00674297746862816644747059254646078630
2Byron Froese (C)0XX100.00764384757061775871635775255757076630
3Mason Appleton (R)0XX100.00767578667572746580666065574444080620
4Patrice Cormier0XX100.00727954677979846176566263594848080610
5Laurent Dauphin0XX100.00726783726771746176605763544747082610
6Josh Leivo (A)0XX100.00574088716557447757655770255050076610
7Cody McLeod0X100.00929940668148715225565562757880070600
8Brendan Leipsic0XX100.00674191715965706354745955255050075600
9Tyler Gaudet0XX100.00797784687776815670515765544545077600
10Frederick Gaudreau0XXX100.00634196746554895675625568254646079600
11Nic Petan0XXX100.00614087775952826447506465255656068600
12Jack Rodewald0X100.00777287627275805650495864554444020580
13Matt Roy (R)0XXX100.00655365687268727125625163596568078630
14Brett Kulak0X100.00675288757162735825484865255656073610
15Madison Bowey0X100.00734386727164645725594763254949076600
16Trevor Murphy0X100.00696284656279855725495160484444082590
17Cameron Gaunce (A)0X100.0073776567777480512546416139454508259X0
Rayé
1Ryan Reaves0X100.00959368738250975845585764257173049630
2J.C. Lipon (R)0XX100.00685856737565697125635565626568058620
3Christopher Didomenico0XX100.00734289686362587337637059254848072610
4Jonathon Martin (R)0XX100.00673771687367697363565263586865070610
5Gabriel Fontaine (R)0X100.00797198687173795063465063484444020560
6Mikkel Aagaard (R)0XXX100.00686478646448485164415658534444040520
7Quinton Howden0XXX100.00505050505050505050505050505050020480
8Dylan DeMelo0X100.00774484777264626325664769255959030640
9Jacob Middleton (R)0X100.00737666607668735225484261404444022570
10Dylan McIlrath0X100.00768457658469764625354161394444025570
11Dennis Robertson0X100.0075786862786671462538396037444402056X0
MOYENNE D'ÉQUIPE100.0072617769716473594656546342525206060
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
1Laurent Brossoit100.0055646181664553535655424646084570
2Chris Driedger100.0048536680464850544848304444078520
Rayé
1Matt Tomkins (R)100.0046506379434550534647304444022500
2Mantas Armalis100.005050505050505050505050505002149X0
MOYENNE D'ÉQUIPE100.005054607351475153505038464605152
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice84939678635779CAN513600,000$


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
1Laurent DauphinManitoba Moose (WPG)C/LW93101362210189128825.00%415116.84033218000001047.11%12134001.7200101111
2Christopher DidomenicoManitoba Moose (WPG)C/RW782107001562961527.59%212417.73000217000002125.00%462001.6100000112
3Josh LeivoManitoba Moose (WPG)LW/RW836947517142672111.54%214418.042134160002130033.33%663001.2500010101
4Jack RoslovicManitoba Moose (WPG)C/RW8516-30010103461514.71%314017.61101515000001027.27%1140000.8500000100
5Mason AppletonManitoba Moose (WPG)C/RW9156-428103112225104.55%515717.44011317000000055.70%14933100.7600101000
6Byron FroeseManitoba Moose (WPG)C/RW93366401310188416.67%513414.97000020000140052.38%8431000.8900000110
7Brendan LeipsicManitoba Moose (WPG)LW/RW8145-3001013297153.45%414418.09000015000130042.86%1452000.6900000000
8Ryan ReavesManitoba Moose (WPG)RW8235352301011145914.29%39812.340000100001000.00%442001.0100123010
9Madison BoweyManitoba Moose (WPG)D904429510137450.00%520522.85011119000112000.00%155000.3900010000
10Patrice CormierManitoba Moose (WPG)C/LW90224121017911770.00%111112.3500000000010065.22%2373000.3600101000
11Dylan DeMeloManitoba Moose (WPG)D911210016814387.14%618720.84101117000014000.00%047000.2100000000
12Brett KulakManitoba Moose (WPG)D81127955888312.50%816921.17000116000011000.00%003000.2400010001
13Cody McLeodManitoba Moose (WPG)LW3101-110108543425.00%14615.5300000000030020.00%521000.4300011001
14Tyler GaudetManitoba Moose (WPG)C/LW7011-22410956480.00%29012.8700001000060054.55%1100000.2200110000
15Jack RodewaldManitoba Moose (WPG)RW2011000314100.00%02914.7800000000000050.00%200000.6800000000
16Frederick GaudreauManitoba Moose (WPG)C/LW/RW8011-2005717580.00%310312.9000000000070062.50%5621000.1900000000
17Nic PetanManitoba Moose (WPG)C/LW/RW8011-120108319170.00%111314.2400002000240066.67%1861000.1800000000
18Dennis RobertsonManitoba Moose (WPG)D2000055503010.00%23819.320000000002000.00%002000.0000001000
19Gabriel FontaineManitoba Moose (WPG)C1000-100103030.00%01414.4300000000000080.00%500000.0000000000
20Jacob MiddletonManitoba Moose (WPG)D1000100631000.00%12626.420000000001000.00%001000.0000000000
21Matt RoyManitoba Moose (WPG)LW/RW/D8000-3161015106250.00%1117622.03000014000011000.00%016000.0000011000
22J.C. LiponManitoba Moose (WPG)C/RW3000-100637280.00%13913.300000000001000.00%110000.0000000000
23Mikkel AagaardManitoba Moose (WPG)C/LW/RW1000000430010.00%11414.950000000000000.00%100000.0000000000
24Trevor MurphyManitoba Moose (WPG)D700001515642110.00%211616.710000000004000.00%004000.0000201000
25Cameron GaunceManitoba Moose (WPG)D9000-116101288220.00%616518.380000400002000.00%022000.0000200000
26Dylan McIlrathManitoba Moose (WPG)D1000175320000.00%02525.450000000000000.00%001000.0000001000
Stats d'équipe Total ou en Moyenne162294675202381402651823161031789.18%79277117.1146101918600061204152.33%5166454100.54009811546
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
1Laurent BrossoitManitoba Moose (WPG)84310.8503.30473002617396100.000081000
2Chris DriedgerManitoba Moose (WPG)20100.8943.57840054733000.000018000
Stats d'équipe Total ou en Moyenne104410.8593.335580031220129100.000099000


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
Brendan LeipsicManitoba Moose (WPG)LW/RW2519.05.1994No180 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Brett KulakManitoba Moose (WPG)D2505.01.1994No187 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Byron FroeseManitoba Moose (WPG)C/RW2812.03.1991No205 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Cameron GaunceManitoba Moose (WPG)D2919.03.1990No210 Lbs6 ft1NoYesNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Chris DriedgerManitoba Moose (WPG)G2518.05.1994No205 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Christopher DidomenicoManitoba Moose (WPG)C/RW3020.02.1989No174 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm800,000$80,000$0$NoLien
Cody McLeodManitoba Moose (WPG)LW3425.06.1984No210 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm450,000$45,000$0$NoLien
Dennis RobertsonManitoba Moose (WPG)D2824.05.1991No215 Lbs6 ft1NoYesNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Dylan DeMeloManitoba Moose (WPG)D2601.05.1993No195 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$50,000$0$NoLien
Dylan McIlrathManitoba Moose (WPG)D2719.04.1992No236 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Frederick GaudreauManitoba Moose (WPG)C/LW/RW2601.05.1993No179 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,000,000$100,000$0$NoLien
Gabriel FontaineManitoba Moose (WPG)C2230.04.1997Yes191 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm500,000$50,000$0$NoLien
J.C. LiponManitoba Moose (WPG)C/RW2509.07.1993Yes183 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Jack RodewaldManitoba Moose (WPG)RW2514.02.1994No169 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Jack RoslovicManitoba Moose (WPG)C/RW2228.01.1997No187 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,500,000$150,000$0$NoLien
Jacob MiddletonManitoba Moose (WPG)D2301.01.1996Yes200 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Jonathon MartinManitoba Moose (WPG)C/RW2323.08.1995Yes212 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Josh LeivoManitoba Moose (WPG)LW/RW2626.05.1993No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Laurent BrossoitManitoba Moose (WPG)G2622.03.1993No204 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Laurent DauphinManitoba Moose (WPG)C/LW2427.03.1995No180 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm787,500$78,750$0$NoLien
Madison BoweyManitoba Moose (WPG)D2422.04.1995No195 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm1,000,000$100,000$0$NoLien
Mantas ArmalisManitoba Moose (WPG)G2606.09.1992No194 Lbs6 ft4NoYesNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Mason AppletonManitoba Moose (WPG)C/RW2315.01.1996Yes201 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Matt RoyManitoba Moose (WPG)LW/RW/D2401.03.1995Yes201 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Matt TomkinsManitoba Moose (WPG)G2419.06.1994Yes194 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Mikkel AagaardManitoba Moose (WPG)C/LW/RW2327.10.1995Yes176 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Nic PetanManitoba Moose (WPG)C/LW/RW2421.03.1995No165 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm874,125$87,412$0$No
Patrice CormierManitoba Moose (WPG)C/LW2813.06.1990No215 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Quinton HowdenManitoba Moose (WPG)C/LW/RW2721.01.1992No190 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,000,000$100,000$0$NoLien
Ryan ReavesManitoba Moose (WPG)RW3220.01.1987No225 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,200,000$220,000$0$NoLien
Trevor MurphyManitoba Moose (WPG)D2316.07.1995No180 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Tyler GaudetManitoba Moose (WPG)C/LW2604.03.1993No205 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm450,000$45,000$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3225.72196 Lbs6 ft12.22626,926$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan LeipsicMason AppletonJack Roslovic30113
2Josh LeivoLaurent DauphinNic Petan30113
3Cody McLeodPatrice CormierJack Rodewald20311
4Tyler GaudetFrederick GaudreauByron Froese20131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett Kulak35113
2Matt RoyMadison Bowey35113
3Cameron GaunceTrevor Murphy30122
4Cameron GaunceTrevor Murphy0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan LeipsicMason AppletonJack Roslovic50113
2Josh LeivoLaurent DauphinNic Petan50113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett Kulak50113
2Matt RoyMadison Bowey50113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Byron FroeseJosh Leivo60131
2Mason AppletonFrederick Gaudreau40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett Kulak50131
2Matt RoyMadison Bowey50131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Byron Froese50122Brett Kulak50131
2Frederick Gaudreau50122Matt RoyMadison Bowey50131
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mason AppletonJack Roslovic50113
2Frederick GaudreauBrendan Leipsic50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Matt RoyMadison Bowey50013
2Brett Kulak50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nic PetanMason AppletonJack RoslovicMatt Roy
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Josh LeivoFrederick GaudreauByron FroeseBrett Kulak
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jack Rodewald, Nic Petan, Matt RoyPatrice Cormier, Jack RodewaldJack Rodewald
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cameron Gaunce, Trevor Murphy, Matt RoyCameron GaunceCameron Gaunce, Trevor Murphy
Tirs de Pénalité
Cody McLeod, Matt Roy, Patrice Cormier, Mason Appleton, Laurent Dauphin
Gardien
#1 : Chris Driedger, #2 : Laurent Brossoit


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
1Charlottetown Mussle Shovelers404000001121-102020000047-320200000714-700.000111829002141301361031029318147451941317114.29%12741.67%011021351.64%8415952.83%7614452.78%2091191638918789
2Pasadena Beavers5410000018108321000009542200000095480.80018284600214130180103102931873344413416318.75%12375.00%011021351.64%8415952.83%7614452.78%2091191638918789
Total945000002931-25230000013121422000001619-380.4442946750021413031610310293182207923826523417.39%241058.33%011021351.64%8415952.83%7614452.78%2091191638918789
_Since Last GM Reset945000002931-25230000013121422000001619-380.4442946750021413031610310293182207923826523417.39%241058.33%011021351.64%8415952.83%7614452.78%2091191638918789
_Vs Conference945000002931-25230000013121422000001619-380.4442946750021413031610310293182207923826523417.39%241058.33%011021351.64%8415952.83%7614452.78%2091191638918789

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
98L22946753162207923826500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
94500002931
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001312
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
42200001619
Derniers 10 Matchs
WLOTWOTL SOWSOL
440100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
23417.39%241058.33%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
1031029318214130
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
11021351.64%8415952.83%7614452.78%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2091191638918789


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 - 2018-10-038Pasadena Beavers1Manitoba Moose3WSommaire du Match
4 - 2018-10-0516Pasadena Beavers3Manitoba Moose2LSommaire du Match
6 - 2018-10-0724Manitoba Moose4Pasadena Beavers3WSommaire du Match
8 - 2018-10-0932Manitoba Moose5Pasadena Beavers2WSommaire du Match
10 - 2018-10-1140Pasadena Beavers1Manitoba Moose4WSommaire du Match
16 - 2018-10-1760Manitoba Moose2Charlottetown Mussle Shovelers8LSommaire du Match
18 - 2018-10-1964Manitoba Moose5Charlottetown Mussle Shovelers6LXSommaire du Match
20 - 2018-10-2168Charlottetown Mussle Shovelers4Manitoba Moose3LSommaire du Match
22 - 2018-10-2372Charlottetown Mussle Shovelers3Manitoba Moose1LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4020
Assistance9,5544,650
Assistance PCT95.54%93.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
33 2841 - 94.69% 114,038$570,192$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,006,162$ 2,758,292$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 32 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
2018945000002931-25230000013121422000001619-382946750021413031610310293182207923826523417.39%241058.33%011021351.64%8415952.83%7614452.78%2091191638918789
Total Séries945000002931-25230000013121422000001619-382946750021413031610310293182207923826523417.39%241058.33%011021351.64%8415952.83%7614452.78%2091191638918789