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Connexion

Reign
GP: 80 | W: 41 | L: 32 | OTL: 7 | P: 89
GF: 340 | GA: 334 | PP%: 22.94% | PK%: 78.81%
DG: Frederic Lalancette | Morale : 40 | Moyenne d’équipe : 67
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Centre de jeu
Reign
41-32-7, 89pts
4
FINAL
3 Moose
32-41-7, 71pts
Team Stats
L1StreakL2
21-15-4Home Record14-22-4
20-17-3Away Record18-19-3
5-3-2Last 10 Games0-9-1
4.25Buts par match 3.90
4.18Buts contre par match 4.19
22.94%Pourcentage en avantage numérique19.09%
78.81%Pourcentage en désavantage numérique77.16%
Reign
41-32-7, 89pts
2
FINAL
3 Rampage
45-28-7, 97pts
Team Stats
L1StreakW5
21-15-4Home Record22-15-3
20-17-3Away Record23-13-4
5-3-2Last 10 Games9-0-1
4.25Buts par match 4.33
4.18Buts contre par match 3.95
22.94%Pourcentage en avantage numérique19.39%
78.81%Pourcentage en désavantage numérique79.82%
Meneurs d'équipe
Buts
Adrian Kempe
68
Passes
Adrian Kempe
81
Points
Adrian Kempe
149
Plus/Moins
Christoffer Ehn
26
Victoires
Igor Shesterkin
34
Pourcentage d’arrêts
Igor Shesterkin
0.875

Statistiques d’équipe
Buts pour
340
4.25 GFG
Tirs pour
2608
32.60 Avg
Pourcentage en avantage numérique
22.9%
75 GF
Début de zone offensive
35.2%
Buts contre
334
4.18 GAA
Tirs contre
2695
33.69 Avg
Pourcentage en désavantage numérique
78.8%%
64 GA
Début de la zone défensive
37.1%
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
Assistance2,755
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure22
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)X100.007024758172817681727874627559525225720212950,000$
2Darroll Powe (A)X100.005932777174737472737469756782761850710321700,000$
3Christoffer Ehn (R)X100.006037847073787064767367756552445725690211750,000$
4Mathew Barzal (R)X100.005938846869767872828271545852447368690203900,000$
5Kevin Fiala (R)X100.006435747763706976716873648146445465680211750,000$
6Jordan Greenway (R)X100.007244737478617672546971646045445739670203650,000$
7Josh Anderson (R)X100.007745767073616969596768686148494650670231650,000$
8Jason Robertson (R)X100.007138735378727475717289386340408460670182500,000$
9Chandler Stephenson (R)X100.006838807468707367696967557347494255660231500,000$
10Nick Suzuki (R) (A)X100.005627728352655876726271577640408560650182500,000$
11Rem Pitlick (R)X100.006029688064726179716360597343446662650201500,000$
12Mason Appleton (R)X100.005036807064636965787568525444445631640212650,000$
13Maxime Comtois (R)X100.007450656871577968425869554840408348620182500,000$
14Thomas Chabot (R)X100.006032798967637586488870735253447154720204975,000$
15Vladislav Gavrikov (R)X100.006845826870726870597462766060485366700222950,000$
16Oliver Kylington (R)X100.006629798256647075418160725454445368690202800,000$
17Jeremy Lauzon (R)X100.005335818061657474398365735650446565680204850,000$
18Charlie McAvoy (R)X100.007651827665666567567156696147447433680201500,000$
19Nicolas Hague (R)X100.006836906464716361327237764442437351660192500,000$
20Henri Jokiharju (R)X100.006830835962686256346846754140407752640182500,000$
21Michael Anderson (R)X100.004723667346516475306653604340408054570182500,000$
Rayé
1David KrejciX100.007348777872517472737769667169661919700311500,000$
2Tom KuhnhacklX100.006531737671727472656667687057503320670251700,000$
3Anton Karlsson (R)X100.006226677560615073576559656944444928620214600,000$
4Oskar Steen (R)X100.006632566073466655496157525341415420560191500,000$
5Nikita Tryamkin (R)X100.007535806976746376638070745461454722720221900,000$
6Caleb Jones (R)X100.007141575873674258325550673842426317610202550,000$
MOYENNE D’ÉQUIPE100.00653675726766687158716465605046594566
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 Shesterkin100.00757085676680877166836858565847740212950,000$
2Oscar Dansk100.00715964697860616363566846474024640232725,000$
Rayé
1Eamon McAdam100.00646866566075765556816544444731640231550,000$
MOYENNE D’ÉQUIPE100.0070667264687275636273674949483467
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
1Adrian KempeReign (L.A)LW806881149860012911341211924816.50%27167120.901921406526601139911650.22%2319721151.780900010105
2Thomas ChabotReign (L.A)D74227597-273355389224107959.82%78145219.6316254170277000050200.00%05244001.3400010234
3Nick SuzukiReign (L.A)C80364985-7520881252448014414.75%33126215.78121729322500000174347.45%14103410021.3519000652
4Mathew BarzalReign (L.A)RW86295685142551161142047013014.22%30162718.9242024232632025782453.93%10054732001.0411001266
5Christoffer EhnReign (L.A)C692348712624090154136459916.91%28132419.20514192118800011553352.06%14102227011.0703000177
6Darroll PoweReign (L.A)C73233356-326059114159489914.47%3599313.6102231312371972154.73%9612320111.1323000203
7Kevin FialaReign (L.A)LW74242953222082691566710515.38%2196213.012575780003285053.57%283011001.1023000053
8Jordan GreenwayReign (L.A)LW82212546-150011872174449012.07%18109713.382136570112503133.93%561824000.8401000142
9Jeremy LauzonReign (L.A)D869334242403510011159588.11%69144616.82551015162000590010.00%02742000.5800000100
10Chandler StephensonReign (L.A)C721723402806157120395514.17%1981911.380331260000223249.88%423166000.9800000420
11Nikita TryamkinReign (L.A)D4752934526039717522376.67%5693219.84358141080003123110.00%02938000.7300000011
12Jason RobertsonReign (L.A)LW80142034-538011445121326811.57%15114414.30771424235000021136.36%55218000.5900000112
13Josh AndersonReign (L.A)RW80181432-23008877143359512.59%2899012.390000721381771047.50%401419000.6500000032
14Maxime ComtoisReign (L.A)LW85171431103951115896256217.71%891410.761016820000191140.00%301312000.6800000220
15Rem PitlickReign (L.A)RW861217290260534212442699.68%127168.33112341000001146.15%263211000.8134000110
16Charlie McAvoyReign (L.A)D7722527-726082925834193.45%81142318.481126178000039100.00%01250000.3801000000
17Oliver KylingtonReign (L.A)D785212643008413611446474.39%95167921.53123121590004171200.00%04352000.3100000103
18Mason AppletonReign (L.A)C4191625060181961133514.75%53759.17257547000081046.45%18387001.3300000111
19Vladislav GavrikovReign (L.A)D812222412260781328723472.30%90160219.781014980002255000.00%01847000.3000000011
20Nicolas HagueReign (L.A)D7401313104037884311150.00%104116315.73000060112269000.00%0452000.2200000000
21Anton KarlssonReign (L.A)LW49448020182232112312.50%02635.39000050002500145.16%3197000.6100000010
22Michael AndersonReign (L.A)D73066152007204430.00%194886.7000004900000000.00%114000.2500000000
23Henri JokiharjuReign (L.A)D8014564032533218133.12%5885910.75000000004227000.00%0128000.1200000000
24Tom KuhnhacklReign (L.A)RW182355100251919111010.53%419510.8700002000116000.00%254000.5100000000
25Caleb JonesReign (L.A)D13022660233100.00%1725.570000000002000.00%004000.5500000000
26David KrejciReign (L.A)C6011-400476630.00%26510.8500004000060062.86%3522000.3100000000
27Oskar SteenReign (L.A)C22000000000000.00%000.020000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne1766363663102673617151623189129581012166912.27%9362554714.478213421631526145611522164442650.89%5927578582290.80934011355342
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)70342190.8754.1638768126921481029400.595377011311
2Oscar DanskReign (L.A)2641410.8554.9511390094648345010.60051257000
3Eamon McAdamReign (L.A)213930.8454.959332077498236000.615131160000
Statistiques d’équipe totales ou en moyenne1174144130.8664.44594910144032941610415593128311


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
Thomas ChabotReign (L.A)D201997-01-01Yes190 Lbs6 ft2NoNoNo4Pro & Farm975,000$0$0$No2,000,000$3,250,000$4,500,000$Lien
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$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3021.27197 Lbs6 ft11.87668,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan GreenwayNick SuzukiMathew Barzal40122
2Kevin FialaChristoffer EhnAdrian Kempe30122
3Jason RobertsonChandler StephensonJosh Anderson15122
4Maxime ComtoisMason AppletonRem Pitlick15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovThomas Chabot30032
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 LauzonThomas Chabot70023
2Maxime ComtoisCharlie McAvoy30032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Darroll PoweJosh Anderson60122
2Christoffer EhnKevin Fiala40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovNicolas Hague60122
2Oliver KylingtonHenri Jokiharju40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Darroll Powe60122Vladislav GavrikovNicolas Hague60122
2Christoffer Ehn40122Oliver KylingtonHenri Jokiharju40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adrian KempeMathew Barzal60122
2Nick SuzukiChristoffer Ehn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovThomas Chabot60122
2Charlie McAvoyJeremy Lauzon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adrian KempeNick SuzukiMathew BarzalJeremy LauzonThomas Chabot
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adrian KempeDarroll PoweJosh 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 KylingtonThomas Chabot, 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
1Admirals32000010151052200000012841000001032161.00015233800105117114810586385886650932622638112.50%11281.82%1898177850.51%933187849.68%679140148.47%169795017017461447728
2Barracuda3210000012111211000008801100000043140.667122234001051171148978638588665010125164710330.00%8362.50%0898177850.51%933187849.68%679140148.47%169795017017461447728
3Bears21100000981110000007341010000025-320.5009172600105117114866863858866506721194510330.00%7271.43%0898177850.51%933187849.68%679140148.47%169795017017461447728
4Comets211000001174110000007161010000046-220.5001120311010511711487386385886650802712329666.67%6183.33%0898177850.51%933187849.68%679140148.47%169795017017461447728
5Condors42100001151413200000111921010000045-150.6251527420010511711481458638588665014744248614214.29%13284.62%0898177850.51%933187849.68%679140148.47%169795017017461447728
6Crunch22000000725110000004131100000031241.000711180010511711486586385886650592512287228.57%60100.00%0898177850.51%933187849.68%679140148.47%169795017017461447728
7Devils21000001101001000000156-11100000054130.7501014240010511711486986385886650693618293133.33%90100.00%0898177850.51%933187849.68%679140148.47%169795017017461447728
8Eagles2110000011101110000008441010000036-320.5001119300010511711486786385886650722414518337.50%7271.43%0898177850.51%933187849.68%679140148.47%169795017017461447728
9Griffins42200000201731010000046-2321000001611540.5002031510010511711481388638588665013039326419631.58%16568.75%0898177850.51%933187849.68%679140148.47%169795017017461447728
10Heat106100003383355400000122157521000021618-2150.75038641020010511711483188638588665031810684189531222.64%41880.49%2898177850.51%933187849.68%679140148.47%169795017017461447728
11Icehogs421001002017320100100610-422000000147750.6252033530010511711481328638588665012537327119526.32%15286.67%0898177850.51%933187849.68%679140148.47%169795017017461447728
12Little Stars3210000013112110000005412110000087140.66713193200105117114889863858866509544206310330.00%10370.00%0898177850.51%933187849.68%679140148.47%169795017017461447728
13Marlies64200000292813300000017116312000001217-580.66729507900105117114819286385886650191624011227414.81%20860.00%1898177850.51%933187849.68%679140148.47%169795017017461447728
14Monsters3120000011922110000010641010000013-220.333111930111051171148107863858866501053114431400.00%7185.71%0898177850.51%933187849.68%679140148.47%169795017017461447728
15Moose422000001822-420200000814-622000000108240.5001833510010511711481268638588665015040307019210.53%15660.00%0898177850.51%933187849.68%679140148.47%169795017017461447728
16Penguins211000001082110000007251010000036-320.50010142400105117114862863858866506615214810330.00%8187.50%0898177850.51%933187849.68%679140148.47%169795017017461447728
17Phantoms615000002231-930300000916-7312000001315-220.16722406200105117114819086385886650204896210526519.23%31777.42%1898177850.51%933187849.68%679140148.47%169795017017461447728
18Punishers22000000963110000004311100000053241.000914230010511711485686385886650653214399111.11%70100.00%0898177850.51%933187849.68%679140148.47%169795017017461447728
19Rampage2020000058-31010000035-21010000023-100.00059140010511711486486385886650602420445120.00%10370.00%0898177850.51%933187849.68%679140148.47%169795017017461447728
20Rocket302000101018-81010000045-120100010613-720.333101424001051171148818638588665010929286012216.67%14378.57%0898177850.51%933187849.68%679140148.47%169795017017461447728
21Senators311001001214-21010000014-3210001001110130.500122133001051171148101863858866501133124498337.50%12283.33%0898177850.51%933187849.68%679140148.47%169795017017461447728
22Sound Tigers2020000048-41010000024-21010000024-200.0004590010511711485886385886650673322377114.29%11190.91%0898177850.51%933187849.68%679140148.47%169795017017461447728
23Thunderbirds211000001213-11010000046-21100000087120.500122234001051171148748638588665074249256233.33%220.00%0898177850.51%933187849.68%679140148.47%169795017017461447728
24Wolfpack20200000610-41010000024-21010000046-200.000611170010511711485786385886650632610366116.67%50100.00%1898177850.51%933187849.68%679140148.47%169795017017461447728
25Wolves200000201192100000105411000001065141.0001117280010511711487686385886650722522418337.50%110100.00%0898177850.51%933187849.68%679140148.47%169795017017461447728
Total803732002453403346402015001131751591640171700132165175-10890.556340569909211051171148260886385886650269591562114773277522.94%3026478.81%6898177850.51%933187849.68%679140148.47%169795017017461447728
_Since Last GM Reset803732002453403346402015001131751591640171700132165175-10890.556340569909211051171148260886385886650269591562114773277522.94%3026478.81%6898177850.51%933187849.68%679140148.47%169795017017461447728
_Vs Conference53252000224222224-22713110010211211202612900122110112-2600.56622237759911105117114817328638588665017865594089592294519.65%2034975.86%5898177850.51%933187849.68%679140148.47%169795017017461447728
_Vs Division22118000038992-3117300001484261145000024150-9250.56889154243001051171148700863858866507132571864061062119.81%922375.00%4898177850.51%933187849.68%679140148.47%169795017017461447728

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8089L134056990926082695915621147721
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8037320245340334
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4020150113175159
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4017170132165175
Derniers 10 matchs
WLOTWOTL SOWSOL
430111
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3277522.94%3026478.81%6
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
863858866501051171148
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
898177850.51%933187849.68%679140148.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
169795017017461447728


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 - 2022-10-276Heat2Reign3BWSommaire du match
5 - 2022-10-3125Reign2Heat3ALXXSommaire du match
6 - 2022-11-0130Reign4Marlies5ALSommaire du match
7 - 2022-11-0239Reign1Heat2ALXXSommaire du match
10 - 2022-11-0551Heat3Reign4BWSommaire du match
13 - 2022-11-0870Marlies2Reign4BWSommaire du match
17 - 2022-11-1289Condors3Reign4BWSommaire du match
19 - 2022-11-14101Reign7Phantoms6AWSommaire du match
22 - 2022-11-17117Phantoms7Reign6BLSommaire du match
23 - 2022-11-18124Reign7Heat6AWSommaire du match
26 - 2022-11-21144Heat3Reign5BWSommaire du match
30 - 2022-11-25156Reign5Griffins2AWSommaire du match
32 - 2022-11-27170Phantoms4Reign0BLSommaire du match
35 - 2022-11-30184Condors3Reign5BWSommaire du match
38 - 2022-12-03201Reign1Rocket9ALSommaire du match
41 - 2022-12-06215Penguins2Reign7BWSommaire du match
44 - 2022-12-09231Reign5Rocket4AWXXSommaire du match
46 - 2022-12-11239Phantoms5Reign3BLSommaire du match
49 - 2022-12-14256Reign4Condors5ALSommaire du match
52 - 2022-12-17267Bears3Reign7BWSommaire du match
56 - 2022-12-21289Devils6Reign5BLXXSommaire du match
61 - 2022-12-26309Reign5Punishers3AWSommaire du match
62 - 2022-12-27316Griffins6Reign4BLSommaire du match
66 - 2022-12-31339Senators4Reign1BLSommaire du match
68 - 2023-01-02350Reign6Wolves5AWXXSommaire du match
71 - 2023-01-05366Eagles4Reign8BWSommaire du match
76 - 2023-01-10391Barracuda5Reign7BWSommaire du match
81 - 2023-01-15417Moose7Reign4BLSommaire du match
85 - 2023-01-19438Reign1Heat4ALSommaire du match
86 - 2023-01-20443Marlies4Reign6BWSommaire du match
90 - 2023-01-24466Reign4Barracuda3AWSommaire du match
91 - 2023-01-25469Moose7Reign4BLSommaire du match
95 - 2023-01-29495Rampage5Reign3BLSommaire du match
97 - 2023-01-31509Reign2Phantoms4ALSommaire du match
99 - 2023-02-02517Reign2Little Stars5ALSommaire du match
101 - 2023-02-04521Wolfpack4Reign2BLSommaire du match
104 - 2023-02-07542Reign6Little Stars2AWSommaire du match
105 - 2023-02-08547Icehogs6Reign3BLSommaire du match
108 - 2023-02-11561Reign2Sound Tigers4ALSommaire du match
110 - 2023-02-13573Sound Tigers4Reign2BLSommaire du match
113 - 2023-02-16590Reign4Wolfpack6ALSommaire du match
115 - 2023-02-18598Reign2Bears5ALSommaire du match
116 - 2023-02-19603Comets1Reign7BWSommaire du match
121 - 2023-02-24625Punishers3Reign4BWSommaire du match
126 - 2023-03-01652Wolves4Reign5BWXXSommaire du match
128 - 2023-03-03664Reign4Marlies10ALSommaire du match
130 - 2023-03-05678Heat3Reign7BWSommaire du match
132 - 2023-03-07691Reign3Penguins6ALSommaire du match
134 - 2023-03-09699Reign5Heat3AWSommaire du match
135 - 2023-03-10704Admirals4Reign6BWSommaire du match
138 - 2023-03-13721Reign3Crunch1AWSommaire du match
139 - 2023-03-14729Icehogs4Reign3BLXSommaire du match
142 - 2023-03-17741Reign4Comets6ALSommaire du match
145 - 2023-03-20756Admirals4Reign6BWSommaire du match
147 - 2023-03-22767Reign1Monsters3ALSommaire du match
150 - 2023-03-25782Marlies5Reign7BWSommaire du match
152 - 2023-03-27790Reign6Icehogs2AWSommaire du match
155 - 2023-03-30808Little Stars4Reign5BWSommaire du match
159 - 2023-04-03823Reign3Eagles6ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161 - 2023-04-05833Reign8Thunderbirds7AWSommaire du match
162 - 2023-04-06837Heat4Reign3BLXXSommaire du match
166 - 2023-04-10860Monsters0Reign7BWSommaire du match
168 - 2023-04-12872Reign4Phantoms5ALSommaire du match
170 - 2023-04-14885Monsters6Reign3BLSommaire du match
173 - 2023-04-17898Reign5Devils4AWSommaire du match
176 - 2023-04-20912Crunch1Reign4BWSommaire du match
182 - 2023-04-26937Barracuda3Reign1BLSommaire du match
184 - 2023-04-28948Reign4Marlies2AWSommaire du match
186 - 2023-04-30961Reign6Moose5AWSommaire du match
187 - 2023-05-01963Rocket5Reign4BLSommaire du match
191 - 2023-05-05980Reign5Senators6ALXSommaire du match
192 - 2023-05-06989Thunderbirds6Reign4BLSommaire du match
194 - 2023-05-08995Reign3Admirals2AWXXSommaire du match
195 - 2023-05-09996Reign4Griffins6ALSommaire du match
199 - 2023-05-131012Reign6Senators4AWSommaire du match
200 - 2023-05-141015Condors3Reign2BLXXSommaire du match
201 - 2023-05-151017Reign8Icehogs5AWSommaire du match
202 - 2023-05-161019Reign7Griffins3AWSommaire du match
203 - 2023-05-171027Reign4Moose3AWSommaire du match
204 - 2023-05-181037Reign2Rampage3ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance73,32836,884
Assistance PCT91.66%92.21%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2755 - 91.84% 81,893$3,275,726$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,394,693$ 2,815,000$ 1,915,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,665$ 2,625,739$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 17,306$ 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