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LHSRSM


Reign
GP: 14 | W: 7 | L: 7
GF: 42 | GA: 45 | PP%: 23.68% | PK%: 83.93%
DG: Jean-Marc Lajoie | Morale : 50 | Moyenne d’équipe : 63
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Centre de jeu
Reign
7-7-0, 14pts
4
FINAL
5 Roadrunners
9-4-0, 18pts
Team Stats
L1StreakL1
5-3-0Home Record4-1-0
2-4-0Away Record5-3-0
6-3-1Last 10 Games6-3-1
3.00Goals Per Game3.08
3.21Goals Against Per Game2.31
23.68%Power Play Percentage14.04%
83.93%Penalty Kill Percentage80.00%
Roadrunners
9-4-0, 18pts
4
FINAL
2 Reign
7-7-0, 14pts
Team Stats
L1StreakL1
4-1-0Home Record5-3-0
5-3-0Away Record2-4-0
6-3-1Last 10 Games6-3-1
3.08Goals Per Game3.00
2.31Goals Against Per Game3.21
14.04%Power Play Percentage23.68%
80.00%Penalty Kill Percentage83.93%
Meneurs d'équipe
Mackenzie BlackwoodVictoires
Mackenzie Blackwood
7
Mackenzie BlackwoodPourcentage d’arrêts
Mackenzie Blackwood
0.915

Statistiques d’équipe
Buts pour
42
3.00 GFG
Tirs pour
548
39.14 Avg
Pourcentage en avantage numérique
23.7%
9 GF
Début de zone offensive
42.7%
Buts contre
45
3.21 GAA
Tirs contre
527
37.64 Avg
Pourcentage en désavantage numérique
83.9%
9 GA
Début de la zone défensive
40.7%
Information d’équipe

Directeur généralJean-Marc Lajoie
DivisionPacifique
ConférenceOuest
CapitaineKorbinian Holzer
Assistant #1Mark Barberio
Assistant #2Matt Moulson


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro32
Équipe Mineure20
Limite contact 52 / 250
Espoirs67


Historique d'équipe

Saison actuelle7-7
Historique375-299-61 (0.510%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)15-18
Stanley Cup0


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
1Adrian KempeXXX100.007344787281838971777065627267660696702332,000,000$
2Robby FabbriXX100.00763986736882767168706762736769068670231900,000$
3Kirby Dach (R)X100.005842827286778371826963657259620706601833,425,000$
4Adam GaudetteX100.006142807271758569787065567267650626502311,491,666$
5Brendan LemieuxXX100.00887453668074876456626567636764050650231925,000$
6Matt Moulson (A)XX100.00644588627888906355616164668776050650351650,000$
7Tim SchallerXXX100.007242836383657261535962676178680506402811,900,000$
8Tomas JurcoXX100.00624386637871696457626359667568050630261750,000$
9Brett SutterXX100.00615186597487895761585856598279050620321650,000$
10Kevin StenlundX100.00664689628883786172595960626763039620231925,000$
11Zach SenyshynX100.006142896176777262535960586265660426202211,288,333$
12Erik CernakX100.00935268669085826530706487506564044680221890,000$
13Radim SimekX100.00833987657281766430715672507565050650271675,000$
14Rasmus AnderssonX100.00624678678083886630745968526764063650221863,333$
15Korbinian Holzer (C)X100.00824580618684735930605378478072050640311850,000$
16Mark Barberio (A)X100.006238796577757164306359675378680506402911,450,000$
17Tobias Bjornfot (R)X100.006142906375767061305958624659610566101831,083,333$
Rayé
1German RubtsovX100.006342876276737863705959616563610506202121,106,666$
2Brandon BaddockXX100.00727565568688875552545357556965050600241700,000$
3Maxwell WillmanXX100.00564483587173725753565554586965050590241650,000$
4Riley SutterX100.00734386558873725365545257536162050590193894,167$
5Jakub LaukoXX100.00524578596872715852545753566062050580193894,167$
6Taylor FedunX100.00624284617773715930675863558072050630312737,500$
7William LagessonX100.00644688608276736130595762506764036620231758,333$
8Jakub ZborilX100.006145886074787559305857615265630476102211,288,333$
9Seth HelgesonX100.00757271559088925630545158457868050600291675,000$
10Ben ThomasX100.00594681567687895430555357466764050590231700,000$
11Josh WesleyX100.00664685568273725430535255456764050580231650,000$
12Bode WildeX100.00634387557972765330525054456162050570193910,833$
MOYENNE D’ÉQUIPE100.0067478262797879614861586257696605263
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
1Mackenzie Blackwood100.0089959391888789888789886771043730
2Jonas Johansson100.0079636193787779787779786973050680
Rayé
1Joseph Woll100.0068817987676668676668676367050620
MOYENNE D’ÉQUIPE100.007980789078777978777978667004868
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Robby FabbriReign (LAK)C/LW147714340251157234012.28%227919.9613411360001130250.00%2200001.0000000120
2Kirby DachReign (LAK)C14671352064650143212.00%431622.602244350110550055.60%48200100.8200000110
3Adrian KempeReign (LAK)C/LW/RW14661228046337520418.00%439928.5412310351013540167.65%3400000.6000000220
4Erik CernakReign (LAK)D142911-22807221436314.65%2536626.162241835011244000.00%000000.6000000011
5Brendan LemieuxReign (LAK)LW/RW144610-42406426637396.35%631622.611127280002350055.56%2700000.6300000200
6Mark BarberioReign (LAK)D1408861202918177200.00%1927619.7802272900001000.00%000000.5800000001
7Rasmus AnderssonReign (LAK)D14268-42062720111710.00%1936626.141451135000044000.00%000000.4400000001
8Adam GaudetteReign (LAK)C14347-5005565415365.56%128920.69011829000012052.71%38700000.4800000000
9Matt MoulsonReign (LAK)LW/RW14336-32022030101810.00%029020.73000930000022069.23%1300000.4100000001
10Radim SimekReign (LAK)D14246-61202715921422.22%1429921.3900000000048000.00%000000.4000000010
11Tim SchallerReign (LAK)C/LW/RW14336-20024263514258.57%424817.76000010001371042.37%29500000.4800000000
12Korbinian HolzerReign (LAK)D14044-61203417139100.00%1729821.2900000000049000.00%000000.2700000000
13Tobias BjornfotReign (LAK)D141346001217186135.56%1328620.47101729000010000.00%000000.2800000000
14Brett SutterReign (LAK)C/LW14213-2206121431114.29%420914.9300000000001045.45%1100000.2900000001
15Tomas JurcoReign (LAK)LW/RW14123-2601312339273.03%120814.9300000000001061.90%2100000.2900000000
16Kevin StenlundReign (LAK)C14000-120778170.00%0886.2900000000000052.94%10200000.0000000000
17Zach SenyshynReign (LAK)RW14000-120249550.00%0886.2900000000000062.50%800000.0000000000
Statistiques d’équipe totales ou en moyenne2384273115-1611803803685481623867.66%133462719.45917269232912393997352.21%140200100.5000000675
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
1Mackenzie BlackwoodReign (LAK)147520.9152.8594700455270000.0000140200
Statistiques d’équipe totales ou en moyenne147520.9152.8594700455270000.0000140200


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 Plafond salarial 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 10Link
Adam GaudetteReign (LAK)C231996-10-03No170 Lbs6 ft1NoNoNo1Pro & Farm1,491,666$0$0$NoLien / Lien NHL
Adrian KempeReign (LAK)C/LW/RW231996-09-13No201 Lbs6 ft2NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$Lien / Lien NHL
Ben ThomasReign (LAK)D231996-05-28No180 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Bode WildeReign (LAK)D192000-01-24No192 Lbs6 ft2NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien
Brandon BaddockReign (LAK)C/LW241995-03-29No215 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Brendan LemieuxReign (LAK)LW/RW231996-03-15No213 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Brett SutterReign (LAK)C/LW321987-06-02No200 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Erik CernakReign (LAK)D221997-05-28No233 Lbs6 ft3NoNoNo1Pro & Farm890,000$0$0$NoLien / Lien NHL
German RubtsovReign (LAK)C211998-06-27No178 Lbs6 ft2NoNoNo2Pro & Farm1,106,666$0$0$No1,106,666$Lien / Lien NHL
Jakub LaukoReign (LAK)C/LW192000-03-28No169 Lbs6 ft0NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien
Jakub ZborilReign (LAK)D221997-02-21No200 Lbs6 ft0NoNoNo1Pro & Farm1,288,333$0$0$NoLien / Lien NHL
Jonas JohanssonReign (LAK)G241995-09-19No219 Lbs6 ft5NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Joseph WollReign (LAK)G211998-07-12No203 Lbs6 ft4NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Josh WesleyReign (LAK)D231996-04-09No195 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Kevin StenlundReign (LAK)C231996-09-20No209 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Kirby DachReign (LAK)C182001-01-21Yes197 Lbs6 ft4NoNoNo3Pro & Farm3,425,000$0$0$No3,425,000$3,425,000$
Korbinian HolzerReign (LAK)D311988-02-16No213 Lbs6 ft3NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Mackenzie BlackwoodReign (LAK)G221996-12-09No225 Lbs6 ft4NoNoNo1Pro & Farm913,333$0$0$NoLien / Lien NHL
Mark BarberioReign (LAK)D291990-03-23No200 Lbs6 ft1NoNoNo1Pro & Farm1,450,000$0$0$NoLien / Lien NHL
Matt MoulsonReign (LAK)LW/RW351983-11-01No203 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Maxwell WillmanReign (LAK)C/LW241995-02-13No184 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien
Radim SimekReign (LAK)D271992-09-20No200 Lbs5 ft11NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Rasmus AnderssonReign (LAK)D221996-10-27No214 Lbs6 ft1NoNoNo1Pro & Farm863,333$0$0$NoLien / Lien NHL
Riley SutterReign (LAK)RW191999-10-25No210 Lbs6 ft4NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien
Robby FabbriReign (LAK)C/LW231996-01-22No190 Lbs5 ft10NoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Seth HelgesonReign (LAK)D291990-10-08No219 Lbs6 ft4NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Taylor FedunReign (LAK)D311988-06-04No200 Lbs6 ft1NoNoNo2Pro & Farm737,500$0$0$No737,500$Lien / Lien NHL
Tim SchallerReign (LAK)C/LW/RW281990-11-16No204 Lbs6 ft2NoNoNo1Pro & Farm1,900,000$0$0$NoLien / Lien NHL
Tobias BjornfotReign (LAK)D182001-04-06Yes202 Lbs6 ft0NoNoNo3Pro & Farm1,083,333$0$0$No1,083,333$1,083,333$
Tomas JurcoReign (LAK)LW/RW261992-12-28No188 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
William LagessonReign (LAK)D231996-02-22No207 Lbs6 ft2NoNoNo1Pro & Farm758,333$0$0$NoLien / Lien NHL
Zach SenyshynReign (LAK)RW221997-03-30No192 Lbs6 ft1NoNoNo1Pro & Farm1,288,333$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3224.03201 Lbs6 ft21.471,041,250$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Robby FabbriKirby DachAdrian Kempe33014
2Brendan LemieuxAdam GaudetteMatt Moulson32023
3Brett SutterTim SchallerTomas Jurco20113
4Adrian KempeKevin StenlundZach Senyshyn15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rasmus AnderssonErik Cernak33023
2Radim SimekKorbinian Holzer30032
3Tobias BjornfotMark Barberio30032
4Rasmus AnderssonErik Cernak7023
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Robby FabbriKirby DachAdrian Kempe60005
2Brendan LemieuxAdam GaudetteMatt Moulson40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rasmus AnderssonErik Cernak60014
2Tobias BjornfotMark Barberio40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kirby DachAdrian Kempe55050
2Tim SchallerBrendan Lemieux45140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Korbinian HolzerErik Cernak60050
2Rasmus AnderssonRadim Simek40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kirby Dach52050Korbinian HolzerErik Cernak60050
2Tim Schaller48050Rasmus AnderssonRadim Simek40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kirby DachAdrian Kempe60023
2Adam GaudetteRobby Fabbri40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Rasmus AnderssonErik Cernak60122
2Radim SimekKorbinian Holzer40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Robby FabbriKirby DachAdrian KempeRasmus AnderssonErik Cernak
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxKirby DachMatt MoulsonRadim SimekErik Cernak
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adrian Kempe, Kirby Dach, Brendan LemieuxAdrian Kempe, Kirby DachBrendan Lemieux
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Erik Cernak, Rasmus Andersson, Radim SimekErik CernakErik Cernak, Radim Simek
Tirs de pénalité
Kirby Dach, Adrian Kempe, Robby Fabbri, Adam Gaudette, Brendan Lemieux
Gardien
#1 : Mackenzie Blackwood, #2 : Jonas Johansson


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
1Gulls74300000232214310000013121312000001010080.5712339620091714229014817118049291765419117423.53%26388.46%133359955.59%28557149.91%11423249.14%404283342111201103
2Roadrunners734000001923-4422000001011-131200000912-360.4291934530091714225814817118049236576418921523.81%30680.00%033359955.59%28557149.91%11423249.14%404283342111201103
Total1477000004245-38530000023230624000001922-3140.5004273115009171425481481711804952713311838038923.68%56983.93%133359955.59%28557149.91%11423249.14%404283342111201103
_Since Last GM Reset1477000004245-38530000023230624000001922-3140.5004273115009171425481481711804952713311838038923.68%56983.93%133359955.59%28557149.91%11423249.14%404283342111201103
_Vs Conference1477000004245-38530000023230624000001922-3140.5004273115009171425481481711804952713311838038923.68%56983.93%133359955.59%28557149.91%11423249.14%404283342111201103

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1414L1427311554852713311838000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
147700004245
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
85300002323
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
62400001922
Derniers 10 matchs
WLOTWOTL SOWSOL
531100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
38923.68%56983.93%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
14817118049917142
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
33359955.59%28557149.91%11423249.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
404283342111201103


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
2 - 2021-04-078Gulls4Reign0LSommaire du match
4 - 2021-04-0916Gulls1Reign2WXSommaire du match
6 - 2021-04-1124Reign2Gulls3LSommaire du match
8 - 2021-04-1332Reign4Gulls5LXSommaire du match
10 - 2021-04-1540Gulls4Reign6WSommaire du match
12 - 2021-04-1748Reign4Gulls2WSommaire du match
14 - 2021-04-1956Gulls3Reign5WSommaire du match
16 - 2021-04-2160Roadrunners3Reign4WXSommaire du match
18 - 2021-04-2364Roadrunners1Reign3WSommaire du match
20 - 2021-04-2568Reign3Roadrunners2WSommaire du match
22 - 2021-04-2772Reign2Roadrunners5LSommaire du match
24 - 2021-04-2976Roadrunners3Reign1LSommaire du match
26 - 2021-05-0180Reign4Roadrunners5LXSommaire du match
28 - 2021-05-0384Roadrunners4Reign2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,331,999$ 1,514,999$ 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$ 10 0$ 0$




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
282274000357250292-4241181200236142123194192800121108169-61542504186683390886710235577577577471258176984715413336920.72%3319371.90%41197253147.29%1187262845.17%616136545.13%1941132819736141072535
382165202147180272-92418250114297135-38418270100583137-54321803024822462714182358788777774592987856100216983425917.25%4107182.68%01285261949.06%1317301343.71%547125543.59%1797119221286311053506
4823234034272512501412014013121331201341122002115118130-126425143468510958071112927969979946653023941136018615328115.23%57810382.18%41599309651.65%1602324549.37%666130850.92%1805121321736471000469
5823436012182602441641161901212124115941181700006136129768260440700361028274830271017925106355278581459820721993718.59%2605479.23%31609278757.73%1535285753.73%719129855.39%1979142819925651003496
6824422061723002128841239030601561015541211303112144111338830053183103109948417329010621103108766268777757022442013517.41%2454880.41%11798305458.87%1572288454.51%741128957.49%2192157317485601042547
782245202112220319-9941122701001110154-4441122501111110165-554822038860853996355428599119171019234264129233521621632615.95%1463278.08%11149260844.06%1392384136.24%560128743.51%154110682451578947425
8825119002463712081634127100012119310687412490012517810276102371686105733170108897349911781175111861245274149019861544327.92%2183185.78%51869302261.85%1495258757.79%790134858.61%240918051575499987543
8825119002463712081634127100012119310687412490012517810276102371686105733170108897349911781175111861245274149019861544327.92%2183185.78%51869302261.85%1495258757.79%790134858.61%240918051575499987543
9825025012313242241004126110012117911564412414011101451093611132459291636131101886324111071043107638242172154120372165023.15%2214480.09%31911316560.38%1465257956.80%760135556.09%2277166116345341033549
Total Saison régulière73832929901518314625272229298369177137071121161327107525236915216208710301200115446669252744777004233110287956587827055898588698975499256527652623317587229444319.31%262750780.70%26142862590455.15%130602622149.81%61891185352.21%183531307617254513291274618
Séries éliminatoires
61257000003547-12734000002130-9523000001417-31035661011012138238111612113864521176629437718.92%31680.65%020442248.34%23146949.25%11521753.00%2761842929215878
8734000001622-63210000056-1413000001116-561629450055602327673830188654515718527.78%20575.00%015327256.25%11223048.70%5510651.89%164113164529146
91477000004245-38530000023230624000001922-3144273115009171425481481711804952713311838038923.68%56983.93%133359955.59%28557149.91%11423249.14%404283342111201103
Total Séries éliminatoires3315180000093114-2118108000004959-1015510000004455-1130931682611026352841161340365401551167315229831932122.58%1072081.31%1690129353.36%628127049.45%28455551.17%844582799255451228