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Connexion

Reign
GP: 12 | W: 7 | L: 5
GF: 55 | GA: 54 | PP%: 18.42% | PK%: 68.63%
DG: Frederic Lalancette | Morale : 34 | Moyenne d’équipe : 66
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Centre de jeu
Reign
7-5-0, 14pts
7
FINAL
6 Griffins
16-7-0, 32pts
Team Stats
L1StreakW3
5-2-0Home Record8-2-0
2-3-0Away Record8-5-0
5-5-0Last 10 Games8-2-0
4.58Buts par match 4.13
4.50Buts contre par match 3.17
18.42%Pourcentage en avantage numérique28.41%
68.63%Pourcentage en désavantage numérique84.29%
Griffins
16-7-0, 32pts
6
FINAL
4 Reign
7-5-0, 14pts
Team Stats
W3StreakL1
8-2-0Home Record5-2-0
8-5-0Away Record2-3-0
8-2-0Last 10 Games5-5-0
4.13Buts par match 4.58
3.17Buts contre par match 4.50
28.41%Pourcentage en avantage numérique18.42%
84.29%Pourcentage en désavantage numérique68.63%
Meneurs d'équipe
Buts
Christoffer Ehn
10
Passes
Adrian Kempe
13
Points
Adrian Kempe
17
Plus/Moins
Nicolas Hague
13
Victoires
Igor Shesterkin
6
Pourcentage d’arrêts
Oscar Dansk
0.9

Statistiques d’équipe
Buts pour
55
4.58 GFG
Tirs pour
394
32.83 Avg
Pourcentage en avantage numérique
18.4%
7 GF
Début de zone offensive
35.8%
Buts contre
54
4.50 GAA
Tirs contre
357
29.75 Avg
Pourcentage en désavantage numérique
68.6%%
16 GA
Début de la zone défensive
35.6%
Informations de l'équipe

Directeur généralFrederic Lalancette
EntraîneurMichel Therrien
DivisionFritz-Kraatz
ConférenceRobert-Lebel
CapitaineAdrian Kempe
Assistant #1Darroll Powe
Assistant #2Nick Suzuki


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure23
Limite contact 52 / 250
Espoirs0


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 Kempe (R) (C)X100.007024758172817681727874627559525247720212950,000$
2Christoffer Ehn (R)X100.006037847073787064767367756552445747690211750,000$
3Mathew Barzal (R)X100.005938846869767872828271545852447383690203900,000$
4Kevin Fiala (R)X100.006435747763706976716873648146445485680211750,000$
5Jordan Greenway (R)X100.007244737478617672546971646045445763670203650,000$
6Josh Anderson (R)X100.007745767073616969596768686148494672670231650,000$
7Jason Robertson (R)X100.007138735378727475717289386340408482670182500,000$
8Chandler Stephenson (R)X100.006838807468707367696967557347494278660231500,000$
9Nick Suzuki (R) (A)X100.005627728352655876726271577640408583650182500,000$
10Rem Pitlick (R)X100.006029688064726179716360597343446683650201500,000$
11Mason Appleton (R)X100.005036807064636965787568525444445653640212650,000$
12Maxime Comtois (R)X100.007450656871577968425869554840408373620182500,000$
13Vladislav Gavrikov (R)X100.006845826870726870597462766060485382700222950,000$
14Oliver Kylington (R)X100.006629798256647075418160725454445384690202800,000$
15Jeremy Lauzon (R)X100.005335818061657474398365735650446585680204850,000$
16Charlie McAvoy (R)X100.007651827665666567567156696147447458680201500,000$
17Nicolas Hague (R)X100.006836906464716361327237764442437373660192500,000$
18Henri Jokiharju (R)X100.006830835962686256346846754140407774640182500,000$
19Caleb Jones (R)X100.007141575873674258325550673842426319610202550,000$
20Michael Anderson (R)X100.004723667346516475306653604340408077570182500,000$
Rayé
1Darroll Powe (A)X100.005932777174737472737469756782761867710321700,000$
2David KrejciX100.007348777872517472737769667169661919700311500,000$
3Tom KuhnhacklX100.006531737671727472656667687057503320670251700,000$
4Anton Karlsson (R)X100.006226677560615073576559656944444926620214600,000$
5Oskar Steen (R)X100.006632566073466655496157525341415420560191500,000$
6Nikita Tryamkin (R)X100.007535806976746376638070745461454720720221900,000$
MOYENNE D’ÉQUIPE100.00653675716766687058706464604946586166
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
1Igor Shesterkin100.00757085676680877166836858565869740212950,000$
2Oscar Dansk100.00715964697860616363566846474046640232725,000$
Rayé
1Eamon McAdam100.00646866566075765556816544444729640231550,000$
MOYENNE D’ÉQUIPE100.0070667264687275636273674949484867
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien81738176727457CAN503750,000$


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
1Thomas ChabotKingsD125141902010945171511.11%1421618.0723583700006120.00%092001.7500000200
2Adrian KempeReign (L.A)LW124131738018134213319.52%721718.091233320112160150.00%2083001.5700000111
3Christoffer EhnReign (L.A)C121021270021262211645.45%721017.572023282022202048.41%15723031.1400000210
4Kevin FialaReign (L.A)LW1274115180161930112223.33%617714.76000000002141180.00%5122001.2400000010
5Mason AppletonReign (L.A)C12471160063224918.18%213711.49123228000000044.90%4923001.6000000001
6Rem PitlickReign (L.A)RW1256116406111851527.78%11119.2800000000000075.00%445001.9800000110
7Nick SuzukiReign (L.A)C1255101215212339142212.82%223019.20011131000001046.30%324114000.8700001010
8Jeremy LauzonReign (L.A)D12088116071415590.00%1721417.8600043800000000.00%075000.7500000000
9Jordan GreenwayReign (L.A)LW1235831352682871610.71%820617.2400000000070052.94%1764000.7700001101
10Mathew BarzalReign (L.A)RW12448120101633112012.12%423519.62033531000001163.64%2286000.6800000012
11Oliver KylingtonReign (L.A)D1207704061411630.00%1319216.0800000011023000.00%045000.7300000000
12Charlie McAvoyReign (L.A)D12145-155191062316.67%919616.3511222300002000.00%034000.5100100000
13Chandler StephensonReign (L.A)C12224-420961671612.50%51179.7700000000041053.19%4752000.6800000000
14Vladislav GavrikovReign (L.A)D1213436061781512.50%2021317.7800000011041000.00%0410000.3700000000
15Jason RobertsonReign (L.A)LW12134-38020412898.33%013911.64000228000000060.00%582000.5700000000
16Maxime ComtoisReign (L.A)LW1221351151311132315.38%114011.6701122200000000.00%251000.4300100000
17Nicolas HagueReign (L.A)D1202213409154260.00%1722018.3400000000142000.00%015000.1800000000
18Josh AndersonReign (L.A)RW12112-440141327393.70%215512.970000000003900100.00%138000.2600000010
19Darroll PoweReign (L.A)C11011000022000.00%2423.89000000110380050.00%6800000.4700000000
20Henri JokiharjuReign (L.A)D12011-200981020.00%91008.3800000000025000.00%002000.2000000000
21Michael AndersonReign (L.A)D12000-240010000.00%1675.660000000000000.00%002000.00%00000000
Statistiques d’équipe totales ou en moyenne2515593148481222024624339411923113.96%147354414.12713203230824672827548.68%72110278030.8400202775
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
1Igor ShesterkinReign (L.A)126400.8494.596410049325166220.00%0120000
2Oscar DanskReign (L.A)31100.9002.22810033021000.00%0012000
Statistiques d’équipe totales ou en moyenne157500.8544.3272200523551872201212000


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 Salaire restantPlafond 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
Adrian KempeReign (L.A)LW211996-01-01Yes201 Lbs6 ft2NoNoNo2Pro & Farm950,000$0$0$No1,750,000$Lien
Anton KarlssonReign (L.A)LW211996-01-01Yes194 Lbs5 ft11NoNoNo4Pro & Farm600,000$0$0$No600,000$800,000$800,000$Lien
Caleb JonesReign (L.A)D201997-01-01Yes194 Lbs6 ft1NoNoNo2Pro & Farm550,000$0$0$No550,000$Lien
Chandler StephensonReign (L.A)C231994-01-01Yes190 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Charlie McAvoyReign (L.A)D201997-01-01Yes207 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Christoffer EhnReign (L.A)C211996-01-01Yes181 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien
Darroll PoweReign (L.A)C321985-01-01No212 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
David KrejciReign (L.A)C311986-01-01No177 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Eamon McAdamReign (L.A)G231994-01-01No185 Lbs6 ft2NoNoNo1Pro & Farm550,000$0$0$NoLien
Henri JokiharjuReign (L.A)D181999-01-01Yes200 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Igor ShesterkinReign (L.A)G211996-01-01No187 Lbs6 ft1NoNoNo2Pro & Farm950,000$0$0$No1,400,000$Lien
Jason RobertsonReign (L.A)LW181999-01-01Yes200 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jeremy LauzonReign (L.A)D201997-01-01Yes204 Lbs6 ft1NoNoNo4Pro & Farm850,000$0$0$No850,000$850,000$850,000$Lien
Jordan GreenwayReign (L.A)LW201997-01-01Yes225 Lbs6 ft6NoNoNo3Pro & Farm650,000$0$0$No750,000$850,000$Lien
Josh AndersonReign (L.A)RW231994-01-01Yes189 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien
Kevin FialaReign (L.A)LW211996-01-01Yes193 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLien
Mason AppletonReign (L.A)C211996-01-01Yes193 Lbs6 ft2NoNoNo2Pro & Farm650,000$0$0$No650,000$Lien
Mathew BarzalReign (L.A)RW201997-01-01Yes187 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No1,500,000$2,000,000$Lien
Maxime ComtoisReign (L.A)LW181999-01-01Yes210 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Michael AndersonReign (L.A)D181999-01-01Yes195 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nick SuzukiReign (L.A)C181999-01-01Yes205 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nicolas HagueReign (L.A)D191998-01-01Yes230 Lbs6 ft6NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nikita TryamkinReign (L.A)D221995-01-01Yes180 Lbs6 ft7NoNoNo1Pro & Farm900,000$0$0$NoLien
Oliver KylingtonReign (L.A)D201997-01-01Yes183 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No950,000$Lien
Oscar DanskReign (L.A)G231994-01-01No187 Lbs6 ft2NoNoNo2Pro & Farm725,000$0$0$No725,000$Lien
Oskar SteenReign (L.A)C191998-01-01Yes194 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$NoLien
Rem PitlickReign (L.A)RW201997-01-01Yes196 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Tom KuhnhacklReign (L.A)RW251992-01-01No196 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Vladislav GavrikovReign (L.A)D221995-01-01Yes213 Lbs6 ft3NoNoNo2Pro & Farm950,000$0$0$No975,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2921.31197 Lbs6 ft11.79657,759$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adrian KempeChristoffer EhnKevin Fiala35122
2Jordan GreenwayNick SuzukiMathew Barzal35122
3Jason RobertsonChandler StephensonJosh Anderson15122
4Maxime ComtoisMason AppletonRem Pitlick15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovCaleb Jones30032
2Charlie McAvoyOliver Kylington30131
3Jeremy LauzonNicolas Hague30131
4Michael AndersonHenri Jokiharju10131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adrian KempeNick SuzukiMathew Barzal55113
2Jason RobertsonMason AppletonChristoffer Ehn45113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy LauzonCaleb Jones70023
2Maxime ComtoisCharlie McAvoy30032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christoffer EhnJosh Anderson60131
2Adrian KempeKevin Fiala40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovNicolas Hague60140
2Oliver KylingtonHenri Jokiharju40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adrian Kempe60131Vladislav GavrikovNicolas Hague60140
2Christoffer Ehn40131Oliver KylingtonHenri Jokiharju40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adrian KempeMathew Barzal60122
2Nick SuzukiChristoffer Ehn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovCaleb Jones60122
2Charlie McAvoyJeremy Lauzon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adrian KempeNick SuzukiMathew BarzalJeremy LauzonCaleb Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adrian KempeChristoffer EhnJosh AndersonNicolas HagueHenri Jokiharju
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mathew Barzal, Jason Robertson, Maxime ComtoisJordan Greenway, Josh AndersonAdrian Kempe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Charlie McAvoy, Nicolas Hague, Henri JokiharjuOliver KylingtonCaleb Jones, Charlie McAvoy
Tirs de pénalité
Nick Suzuki, Kevin Fiala, Adrian Kempe, Rem Pitlick, Jordan Greenway
Gardien
#1 : Igor Shesterkin, #2 : Oscar Dansk


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
1Griffins734000002832-4422000001415-1312000001417-360.4292847752018152112161361151412199795813318316.67%29968.97%212725849.22%12525748.64%9920648.06%244133264116215104
2Marlies5410000027225330000002112921100000610-480.8002746730018152111781361151412158686411320420.00%22768.18%012725849.22%12525748.64%9920648.06%244133264116215104
Total127500000555417520000035278523000002027-7140.5835593148201815211394136115141235714712224638718.42%511668.63%212725849.22%12525748.64%9920648.06%244133264116215104
_Since Last GM Reset127500000555417520000035278523000002027-7140.5835593148201815211394136115141235714712224638718.42%511668.63%212725849.22%12525748.64%9920648.06%244133264116215104
_Vs Conference127500000555417520000035278523000002027-7140.5835593148201815211394136115141235714712224638718.42%511668.63%212725849.22%12525748.64%9920648.06%244133264116215104
_Vs Division5410000027225330000002112921100000610-480.8002746730018152111781361151412158686411320420.00%22768.18%012725849.22%12525748.64%9920648.06%244133264116215104

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1214L1559314839435714712224620
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
127500005554
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
75200003527
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300002027
Derniers 10 matchs
WLOTWOTL SOWSOL
451000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
38718.42%511668.63%2
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
13611514121815211
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
12725849.22%12525748.64%9920648.06%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
244133264116215104


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
1 - 2022-10-274Marlies3Reign8BWSommaire du match
2 - 2022-10-2812Marlies5Reign7BWSommaire du match
3 - 2022-10-2920Reign1Marlies6ALSommaire du match
4 - 2022-10-3028Reign5Marlies4AWXSommaire du match
5 - 2022-10-3136Marlies4Reign6BWSommaire du match
8 - 2022-11-0358Griffins3Reign4BWSommaire du match
9 - 2022-11-0462Griffins1Reign3BWSommaire du match
10 - 2022-11-0566Reign3Griffins6ALSommaire du match
11 - 2022-11-0670Reign4Griffins5ALSommaire du match
12 - 2022-11-0774Griffins5Reign3BLSommaire du match
13 - 2022-11-0878Reign7Griffins6AWSommaire du match
14 - 2022-11-0982Griffins6Reign4BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance14,0007,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 3000 - 100.00% 89,250$624,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,907,500$ 1,592,500$ 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$




Reign Leaders statistiques (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

Reign 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

Reign 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

Reign Leaders statistiques (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

Reign 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