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Manitoba
GP: 5 | W: 1 | L: 4
GF: 25 | GA: 29 | PP%: 33.33% | PK%: 75.00%
DG: Michael Tremblay | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
San Jose
16-4-0, 32pts
6
FINAL
3 Manitoba
1-4-0, 2pts
Team Stats
W1SéquenceOTL1
9-2-0Fiche domicile0-2-0
7-2-0Fiche domicile1-2-0
9-1-0Derniers 10 matchs1-2-2
5.45Buts par match 5.00
3.85Buts contre par match 5.80
33.67%Pourcentage en avantage numérique33.33%
75.27%Pourcentage en désavantage numérique75.00%
Manitoba
1-4-0, 2pts
6
FINAL
7 San Jose
16-4-0, 32pts
Team Stats
OTL1SéquenceW1
0-2-0Fiche domicile9-2-0
1-2-0Fiche domicile7-2-0
1-2-2Derniers 10 matchs9-1-0
5.00Buts par match 5.45
5.80Buts contre par match 3.85
33.33%Pourcentage en avantage numérique33.67%
75.00%Pourcentage en désavantage numérique75.27%
Meneurs d'équipe
Buts
Austin Czarnik
4
Passes
Austin Czarnik
6
Points
Austin Czarnik
10
Plus/Moins
Anton Belov
2
Victoires
Anders Lindback
1
Pourcentage d’arrêts
Anders Lindback
0.916

Statistiques d’équipe
Buts pour
25
5.00 GFG
Tirs pour
255
51.00 Avg
Pourcentage en avantage numérique
33.3%
9 GF
Début de zone offensive
39.7%
Buts contre
29
5.80 GAA
Tirs contre
291
58.20 Avg
Pourcentage en désavantage numérique
75.0%%
6 GA
Début de la zone défensive
43.6%
Informations de l'équipe

Directeur généralMichael Tremblay
EntraîneurJohn Torchetti
DivisionCentrale
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,572
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure20
Limite contact 40 / 50
Espoirs35


Historique d'équipe

Saison actuelle1-4
Historique75-74-10 (0.472%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)1-4
Coupe Stanley0


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 SPÂgeContratSalaire moyen
1Paul CareyXX100.00703185697378856983686660787262305000332525,000$
2Wojtek WolskiXXX100.00661888627877886776666540807675275000361725,000$
3Pat MaroonX100.00784276639375927068687256777573275000342625,000$
4Maxime TalbotXXX100.00643494416461676760686777819499125000381500,000$
5David BackesXX100.00773266428072936490666566709099155000381950,000$
6Jamie McGinnXX100.00623496597579927062667164776965325000332500,000$
7Andreas JohnsonX100.00732399888085857374667461865655615000271800,000$
8Ryan WhiteXX100.00794153618169886995687062697169305000341600,000$
9Dale WeiseXX100.00653787597964836965647064756452295000332785,000$
10Austin CzarnikXXX100.00573097806583797380727367785653465000292600,000$
11Emil Bemstrom (R)X100.00633097818476997370727364774343655000232500,000$
12Andrej SekeraX100.00573193627772865932534887718788205000363875,000$
13Johnny BoychukX100.0070347251787385485047478772889925000382650,000$
14Cody FransonX100.00683668598178955730564986707373275000343750,000$
15Duncan SiemensX100.00755461718876885353524789765754545000281950,000$
16Anton BelovX100.00632884467964864150404686556865225000352525,000$
17Ryan ParentX100.00643169628278915632495783798783185000351900,000$
18Deryk EngellandX100.0079406345807691425046439273979915000403950,000$
Rayé
MOYENNE D’ÉQUIPE100.0068348061797487626260617275747329500
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 SPÂgeContratSalaire moyen
1Kari Lehtonen100.0063758781748889888775739999145000392500,000$
2Anders Lindback100.0064877983758789878777707776225000343500,000$
Rayé
MOYENNE D’ÉQUIPE100.006481838275888988877672888818500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Torchetti80727770919370USA561500,000$


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
1Austin CzarnikManitoba (WIN)C/LW/RW44610-120162441916.67%19924.841455161011160030.77%1300002.0100000011
2Kevin StenlundWinnipegC/RW4358-140128239913.04%19824.532248160110160053.51%18500001.6300000010
3Andreas JohnsonManitoba (WIN)LW5167-500115249334.17%010921.960224170002190050.00%6600001.2800000000
4Maxime TalbotManitoba (WIN)C/LW/RW5325-5000141851316.67%18918.00011516000020039.76%16600001.1100000000
5Cody FransonManitoba (WIN)D5145-50056144107.14%2111823.74033420000019000%000000.8400000000
6Duncan SiemensManitoba (WIN)D5235-680941461114.29%411523.101231120000016010%000000.8700000000
7Ryan ParentManitoba (WIN)D5055-2600417570%1511623.350111017000016000%000000.8600000000
8Emil BemstromManitoba (WIN)RW4415-200572052620.00%09924.863145160000171053.33%1500001.0100000000
9Paul CareyManitoba (WIN)C/LW5224100281311215.38%0346.9600000000000051.47%6800002.3000000000
10Deryk EngellandManitoba (WIN)D50440601154140%1312725.56011217000015000%000000.6300000001
11Jamie McGinnManitoba (WIN)LW/RW5213-200031841011.11%07014.0810114000110028.57%700000.8500000000
12Ryan WhiteManitoba (WIN)C/RW5123-411512316396.25%18917.90101217000010022.22%900000.6700001000
13Andrej SekeraManitoba (WIN)D5022-100039350%77314.690000001107000%000000.5400000000
14David BackesManitoba (WIN)C/RW5112-24011791211.11%16813.7301114000000051.67%12000000.5800000010
15Anton BelovManitoba (WIN)D5022200010200%2142.810000000002000%000002.8500000000
16Dale WeiseManitoba (WIN)LW/RW511210013751314.29%0346.9600000000000050.00%200001.1500000000
17Wojtek WolskiManitoba (WIN)C/LW/RW5011120033160%0357.0100000000000050.00%200000.5700000000
18Pat MaroonManitoba (WIN)LW5011-34065154150%07414.8300014000010050.00%1000000.2700000000
19Johnny BoychukManitoba (WIN)D5000-2100837110%66513.190000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne92254974-3657584108255732059.80%73153616.70918275919112341541147.96%66300000.9600001032
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
1Anders LindbackManitoba (WIN)21100.9165.0012000101190000023100
2Kari LehtonenManitoba (WIN)30120.8905.8219600191720000032000
Statistiques d’équipe totales ou en moyenne51220.9005.513160029291000055100


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Anders LindbackManitoba (WIN)G341988-05-03 10:26:39No219 Lbs6 ft6NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------NoNo-------Lien
Andreas Johnson (contrat à 1 volet)Manitoba (WIN)LW271994-11-21No184 Lbs5 ft10NoNoN/AYesNo1FalseFalsePro & Farm800,000$8,000$0$No------------------Lien
Andrej SekeraManitoba (WIN)D361986-06-08No218 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm875,000$0$0$No875,000$875,000$-------NoNo-------
Anton BelovManitoba (WIN)D351986-07-29No223 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm525,000$0$0$No525,000$--------No--------Lien
Austin Czarnik (contrat à 1 volet)Manitoba (WIN)C/LW/RW291992-12-12No164 Lbs5 ft9NoNoN/AYesNo2FalseFalsePro & Farm600,000$6,000$0$No600,000$--------No--------Lien
Cody FransonManitoba (WIN)D341987-08-08No223 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------Lien
Dale WeiseManitoba (WIN)LW/RW331988-08-05No218 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm785,000$0$0$No785,000$--------No--------Lien
David BackesManitoba (WIN)C/RW381984-05-01No226 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------Lien
Deryk EngellandManitoba (WIN)D401982-04-03No214 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------NoNo-------Lien
Duncan SiemensManitoba (WIN)D281993-09-07No216 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------Lien
Emil BemstromManitoba (WIN)RW231999-06-01 02:08:56Yes195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------
Jamie McGinnManitoba (WIN)LW/RW331988-08-05No215 Lbs6 ft1NoNoN/AYesNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Johnny BoychukManitoba (WIN)D381984-01-19No228 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------No--------Lien
Kari LehtonenManitoba (WIN)G391983-01-10 11:37:02No212 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------
Maxime TalbotManitoba (WIN)C/LW/RW381984-02-11No196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------Lien
Pat MaroonManitoba (WIN)LW341988-04-23No227 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm625,000$0$0$No625,000$--------No--------Lien
Paul CareyManitoba (WIN)C/LW331988-09-24No203 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm525,000$0$0$No525,000$--------No--------Lien
Ryan ParentManitoba (WIN)D351987-03-17No215 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------
Ryan WhiteManitoba (WIN)C/RW341988-03-17No203 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No------------------Lien
Wojtek WolskiManitoba (WIN)C/LW/RW361986-01-11No212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm725,000$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2033.85211 Lbs6 ft21.85685,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andreas JohnsonMaxime TalbotRyan White34122
2Pat MaroonDavid BackesJamie McGinn33122
3Dale WeisePaul CareyWojtek Wolski33122
4Maxime TalbotAndreas JohnsonPat Maroon0122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Deryk EngellandRyan Parent35122
2Duncan SiemensCody Franson35122
3Johnny BoychukAndrej Sekera30122
4Anton BelovDeryk Engelland0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andreas JohnsonMaxime TalbotRyan White50122
2Pat MaroonDavid BackesJamie McGinn50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Deryk EngellandRyan Parent50122
2Duncan SiemensCody Franson50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andreas JohnsonMaxime Talbot50122
2Pat MaroonRyan White50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Deryk EngellandRyan Parent50122
2Duncan SiemensCody Franson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andreas Johnson50122Deryk EngellandRyan Parent50122
2Maxime Talbot50122Duncan SiemensCody Franson50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andreas JohnsonMaxime Talbot50122
2Pat MaroonRyan White50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Deryk EngellandRyan Parent50122
2Duncan SiemensCody Franson50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andreas JohnsonMaxime TalbotRyan WhiteDeryk EngellandRyan Parent
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andreas JohnsonMaxime TalbotRyan WhiteDeryk EngellandRyan Parent
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul Carey, Dale Weise, Wojtek WolskiPaul Carey, Dale WeiseWojtek Wolski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Johnny Boychuk, Andrej Sekera, Anton BelovJohnny BoychukAndrej Sekera, Anton Belov
Tirs de pénalité
Andreas Johnson, Maxime Talbot, Pat Maroon, Ryan White, David Backes
Gardien
#1 : Kari Lehtonen, #2 : Anders Lindback
Lignes d’attaque personnalisées en prolongation
Andreas Johnson, Maxime Talbot, Pat Maroon, Ryan White, David Backes, Jamie McGinn, Jamie McGinn, Paul Carey, Dale Weise, Wojtek Wolski,
Lignes de défense personnalisées en prolongation
Deryk Engelland, Ryan Parent, Duncan Siemens, Cody Franson, Johnny Boychuk


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
TotalDomicileVisiteur
# 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
1San Jose514000002529-420200000913-4312000001616020.20025497400102130255837489929173578427933.33%24675.00%113026349.43%13228945.67%5611150.45%12484123406833
Total514000002529-420200000913-4312000001616020.20025497400102130255837489929173578427933.33%24675.00%113026349.43%13228945.67%5611150.45%12484123406833
_Since Last GM Reset514000002529-420200000913-4312000001616020.20025497400102130255837489929173578427933.33%24675.00%113026349.43%13228945.67%5611150.45%12484123406833
_Vs Conference514000002529-420200000913-4312000001616020.20025497400102130255837489929173578427933.33%24675.00%113026349.43%13228945.67%5611150.45%12484123406833

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52OTL125497425529173578400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400002529
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000913
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31200001616
Derniers 10 matchs
WLOTWOTL SOWSOL
120200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
27933.33%24675.00%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
8374899102130
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
13026349.43%13228945.67%5611150.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12484123406833


Derniers matchs 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
27Manitoba4San Jose5LSommaire du match
415Manitoba6San Jose4WSommaire du match
623San Jose7Manitoba6LXSommaire du match
831San Jose6Manitoba3LSommaire du match
1039Manitoba6San Jose7LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance3,4051,739
Assistance PCT85.13%86.95%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 2572 - 85.73% 150,134$300,267$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,231,000$ 1,231,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Manitoba Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Ryan White1634473117192103372404948.91%23263816.19423276500019060.65%00.8913
2Maxime Talbot1393468102-13207029630611.11%40276319.88921305111283245.67%10.7403
3Ryan Parent163256691-241092071423447.27%296356421.871518331710226220%00.5100
4Duncan Siemens118246387021121410523010.43%192235019.921015251130226600%00.7400
5Dale Weise16447408716489212439811.81%37205312.52101500018544.75%10.8522

Manitoba Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Magnus Hellberg52252160.9103.0231024215617430500.93816
2Kari Lehtonen45212220.9213.72266341165208501000
3Anders Lindback38201430.9193.7222754014117360100.8005
4Adam Dennis3291740.9023.6118632011211430120.72711

Manitoba Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
2082263803753256273-1741151500641131137-641112303112125136-1178256447703229979709256784281987160288882780913813026220.53%3515983.19%21609297354.12%1767328453.81%710136352.09%1860122520306401084538
218238360340132430717412512021011731373641132401300151170-198732457890201133998933605118711861209283821103197315433228325.78%3926782.91%61894360552.54%2012391151.44%791144754.66%1882124519696431093542
Total Saison régulière16464740611545805800824027027423042743082244704412276306-30165580102516052323217815912617220292005208088670918581782292462414523.24%74312683.04%83503657853.25%3779719552.52%1501281053.42%374324714000128321771081
Séries éliminatoires
21514000002529-420200000913-43120000016160225497400102130255837489929173578427933.33%24675.00%113026349.43%13228945.67%5611150.45%12484123406833
Total Séries éliminatoires514000002529-420200000913-43120000016160225497400102130255837489929173578427933.33%24675.00%113026349.43%13228945.67%5611150.45%12484123406833

Manitoba Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Austin Czarnik44610-12162416.67%19924.84145510110030.77%02.0100
2Kevin Stenlund4358-141282313.04%19824.53224801100053.51%01.6300
3Andreas Johnson5167-50115244.17%010921.96022400020050.00%01.2800
4Emil Bemstrom4415-20572020.00%09924.86314500001053.33%01.0100
5Maxime Talbot5325-500141816.67%18918.00011500000039.76%01.1100

Manitoba Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Anders Lindback21100.9165.00120001011900000
2Kari Lehtonen30120.8905.82196001917200000