Connexion

Reign
GP: 48 | W: 18 | L: 25 | OTL: 5 | P: 41
GF: 155 | GA: 197 | PP%: 19.62% | PK%: 70.59%
DG: Sébastien Beaupré | Morale : 36 | Moyenne d’équipe : 61
Prochains matchs #801 vs Thunderbirds
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Centre de jeu
Reign
18-25-5, 41pts
5
FINAL
3 Monsters
31-19-0, 62pts
Team Stats
OTL1SéquenceL4
10-12-3Fiche domicile16-8-0
8-13-2Fiche domicile15-11-0
7-2-1Derniers 10 matchs2-8-0
3.23Buts par match 3.54
4.10Buts contre par match 3.06
19.62%Pourcentage en avantage numérique17.65%
70.59%Pourcentage en désavantage numérique74.13%
Americans
24-22-3, 51pts
3
FINAL
2 Reign
18-25-5, 41pts
Team Stats
OTW1SéquenceOTL1
12-11-1Fiche domicile10-12-3
12-11-2Fiche domicile8-13-2
4-6-0Derniers 10 matchs7-2-1
3.31Buts par match 3.23
3.24Buts contre par match 4.10
17.57%Pourcentage en avantage numérique19.62%
77.84%Pourcentage en désavantage numérique70.59%
Reign
18-25-5, 41pts
2023-12-11
Thunderbirds
29-16-2, 60pts
Statistiques d’équipe
OTL1SéquenceW1
10-12-3Fiche domicile15-9-1
8-13-2Fiche visiteur14-7-1
7-2-110 derniers matchs8-2-0
3.23Buts par match 3.60
4.10Buts contre par match 3.60
19.62%Pourcentage en avantage numérique25.32%
70.59%Pourcentage en désavantage numérique79.27%
Canucks
33-12-4, 70pts
2023-12-12
Reign
18-25-5, 41pts
Statistiques d’équipe
W8SéquenceOTL1
18-5-1Fiche domicile10-12-3
15-7-3Fiche visiteur8-13-2
8-2-010 derniers matchs7-2-1
3.82Buts par match 3.23
3.10Buts contre par match 3.23
23.53%Pourcentage en avantage numérique19.62%
82.07%Pourcentage en désavantage numérique70.59%
Barracuda
20-25-6, 46pts
2023-12-15
Reign
18-25-5, 41pts
Statistiques d’équipe
W1SéquenceOTL1
13-9-2Fiche domicile10-12-3
7-16-4Fiche visiteur8-13-2
2-7-110 derniers matchs7-2-1
3.20Buts par match 3.23
3.65Buts contre par match 3.23
24.09%Pourcentage en avantage numérique19.62%
70.34%Pourcentage en désavantage numérique70.59%
Meneurs d'équipe
Buts
Drew O'Connor
19
Passes
Sam Steel
28
Points
Drew O'Connor
41
Plus/Moins
Paul Carey
4
Victoires
Nikita Serebryakov
13
Pourcentage d’arrêts
Stephen Michalek
0.874

Statistiques d’équipe
Buts pour
155
3.23 GFG
Tirs pour
1447
30.15 Avg
Pourcentage en avantage numérique
19.6%
31 GF
Début de zone offensive
40.0%
Buts contre
197
4.10 GAA
Tirs contre
1464
30.50 Avg
Pourcentage en désavantage numérique
70.6%%
35 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralSébastien Beaupré
EntraîneurTony Granato
DivisionDivision Pacifique
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2Paul Carey


Informations de l’aréna

Capacité3,000
Assistance2,819
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 55
Espoirs29


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
1Drew O'ConnorX98.0062469173757473726170716971534768456502531,500,000$
2Sam SteelX100.006545907368768771757368716368476045650252900,000$
3Sven BaertschiX100.0058459772698367676165646763667053456403121,250,000$
4Shane GersichX98.006945867265747472717067747051476048640271750,000$
5Sergey KalininX100.006146956973708469656667706556474649630321800,000$
6Viktor TikhonovX98.0059439671707273686366676865645234486303521,000,000$
7Mattias TedenbyX100.006346877165647166636666656759494248620332900,000$
8Anthony CamaraX100.006246776969707567666964716166565048620301700,000$
9Chris TerryX100.006447876970707667656665686361503851620342900,000$
10Daniel BrodinX100.006348827269718164626262676066574551620331800,000$
11Jeremy Boyce-RotevallX100.005540907270706562726265646060565220610301600,000$
12Paul Carey (A)X100.005436907471667455605654625976683748600351800,000$
13Keegan LoweX100.0084756268736973664567647559605647286403021,000,000$
14Tim ErixonX99.0055419570727475694570657164635147486403211,350,000$
15Ryan SproulX100.0058439870737169714572667064504653486403021,100,000$
16Joakim RyanX100.006043967269717669456765716357485348640301900,000$
17Michal JordanX100.006044957072707769456666696453454633630331800,000$
18Nick RossX100.0066498068706773614562626659636540506203411,000,000$
Rayé
1John ArmstrongX100.006551797175666468676863646246453420610352950,000$
2Tyler SoyX100.005542857067667058595558656348455820570261800,000$
3Michael St-CroixX100.005341856870596253655647484456514720540301700,000$
4Anton ZlobinX100.005142816472584752604848564952525120530301500,000$
5Tyrel SeamanX100.005644626157545245534645525550484820480291500,000$
6Wilhelm WestlundX100.006145897269676667456661676046455920610282800,000$
7Mikko VainonenX100.006246897073656567456261686046455619610292800,000$
8Patrick McNallyX100.005643947273666667456261705946455021610322800,000$
MOYENNE D’ÉQUIPE99.73614587707069716557646266615751493761
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
1Nikita Serebryakov100.00798173767775807575767751525719620281750,000$
Rayé
1Stephen Michalek94.00706767777284788484797850544939630301900,000$
2Veini Vehvilainen100.00849071788067836565757745456026590262750,000$
MOYENNE D’ÉQUIPE98.0078797077767580757577774950552861
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tony Granato73606372999953USA585100,000$


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
1Drew O'ConnorReign (LA )LW48192241-2110034501544410212.34%788518.454111534133000072248.39%6200000.9326000411
2Sam SteelReign (LA )C48112839-202154910813836997.97%988118.3727922132000092051.72%116000000.8801010223
3Tim ErixonReign (LA )D4892534-20120483764185914.06%77108022.51671334132011089100%000100.6311000021
4Ryan SproulReign (LA )D4882432-14180514072215011.11%51107522.40581343132011081100%000000.6001000102
5Joakim NordstromKingsLW46181129-10803133133439513.53%1584018.263362311920241011450.00%5400000.6902000511
6Shane GersichReign (LA )C48101929-112207597132461197.58%2193919.56134241280220942047.46%126000000.6216000101
7Anthony CamaraReign (LA )C4842226-1114062669216574.35%1072215.05000090002710148.94%89300000.7200000011
8Chris TerryReign (LA )RW4891726-12215524610433768.65%683817.48178171280000201045.88%8500000.6211100100
9Mattias TedenbyReign (LA )RW48111425-1040422783257413.25%576916.0416713127000001137.04%5400000.6515000011
10Joakim RyanReign (LA )D4842024-1018019397510475.33%4798720.5835841122000183000%000000.4900000002
11Michal JordanReign (LA )D3471219-840102141272817.07%2567119.753361979000014210%000000.5711000121
12Sergey KalininReign (LA )C48712193115254657144412.28%33627.5500000000001045.76%41300001.0512001010
13Sven BaertschiReign (LA )LW489918-1040123976196911.84%772915.21101413000000043.48%4600000.4901000002
14Keegan LoweReign (LA )D4321315-86010113402611347.69%5883719.48101546000058000%000000.3600020010
15Viktor TikhonovReign (LA )LW4810515360132365115415.38%54619.61000000001720045.00%2000000.6502000121
16Nick RossReign (LA )D484812-124210652226121815.38%4985017.72000111000047000%000000.2800002011
17Daniel BrodinReign (LA )RW486410-2017559307412448.11%672015.0000000000001244.23%5200000.2800100001
18Paul CareyReign (LA )RW4824646012926877.69%23667.6300001000000033.33%2400000.3300000000
19Wilhelm WestlundReign (LA )D4134-2401233033.33%46817.050000000002000%000001.1700000010
20Patrick McNallyReign (LA )D14112-30001061716.67%2023216.600000100002000%000000.1700000000
21Mikko VainonenReign (LA )D1000100000010%11515.730000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne862152273425-191302407737851447410108410.50%4281433716.6331609128013232468757151148.51%412300100.59829233161619
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
1Nikita SerebryakovReign (LA )40131830.8644.022000211349880000.688163711101
2Stephen MichalekReign (LA )235720.8743.9491320604760000.692131137000
Statistiques d’équipe totales ou en moyenne63182550.8674.002914411941464000294848101


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 Type Salaire actuel Plafond 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
Anthony CamaraReign (LA )C301993-09-04No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Anton ZlobinReign (LA )RW301993-02-22No209 Lbs5 ft11NoNoN/ANoNo1Pro & Farm500,000$0$0$No------------------Lien
Chris TerryReign (LA )RW341989-04-07No200 Lbs5 ft10NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Daniel BrodinReign (LA )RW331990-02-09No187 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Drew O'ConnorReign (LA )LW251998-06-09No205 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Jeremy Boyce-RotevallReign (LA )LW301993-08-28No181 Lbs6 ft0NoNoN/ANoNo1Pro & Farm600,000$0$0$No------------------Lien
Joakim RyanReign (LA )D301993-06-17No185 Lbs5 ft10NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
John ArmstrongReign (LA )C351988-02-26No210 Lbs6 ft3NoNoN/ANoNo2Pro & Farm950,000$0$0$No950,000$--------No--------Lien
Keegan LoweReign (LA )D301993-03-29No195 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Mattias TedenbyReign (LA )RW331990-02-21No167 Lbs5 ft9NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Michael St-CroixReign (LA )LW301993-04-10No188 Lbs5 ft11NoNoN/ANoNo1Pro & Farm700,000$0$0$No------------------Lien
Michal JordanReign (LA )D331990-07-17No205 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Mikko VainonenReign (LA )D291994-04-11No205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Nick RossReign (LA )D341989-02-10No207 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Nikita SerebryakovReign (LA )G281995-11-01No171 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Patrick McNallyReign (LA )D321991-12-04No201 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Paul CareyReign (LA )RW351988-09-24No200 Lbs6 ft1NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Ryan SproulReign (LA )D301993-01-13No205 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Sam SteelReign (LA )C251998-02-03No189 Lbs5 ft11NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Sergey KalininReign (LA )C321991-03-17No200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Shane GersichReign (LA )C271996-07-10No181 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Stephen Michalek (sur la masse salariale)Reign (LA )G301993-08-06No194 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$Yes------------------Lien
Sven BaertschiReign (LA )LW311992-10-05No190 Lbs5 ft11NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------Lien
Tim ErixonReign (LA )D321991-02-24No198 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,350,000$0$0$No------------------Lien
Tyler SoyReign (LA )RW261997-02-10No170 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Tyrel SeamanReign (LA )C291994-01-06No196 Lbs6 ft2NoNoN/ANoNo1Pro & Farm500,000$0$0$No------------------Lien
Veini VehvilainenReign (LA )G261997-03-13No174 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Viktor TikhonovReign (LA )LW351988-05-12No185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Wilhelm WestlundReign (LA )D281995-03-15No185 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2930.41192 Lbs6 ft11.48872,414$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorSam SteelDaniel Brodin31122
2Sven BaertschiShane GersichChris Terry30122
3Viktor TikhonovAnthony CamaraMattias Tedenby29122
4Viktor TikhonovSergey KalininPaul Carey10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SproulTim Erixon35122
2Michal JordanKeegan Lowe33122
3Joakim RyanNick Ross32122
4Ryan SproulTim Erixon0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorSam SteelMattias Tedenby55023
2Sven BaertschiShane GersichChris Terry45023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SproulTim Erixon55023
2Keegan LoweJoakim Ryan45023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Shane GersichDrew O'Connor54041
2Anthony CamaraViktor Tikhonov46041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tim ErixonKeegan Lowe50041
2Joakim RyanRyan Sproul50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Shane Gersich50050Tim ErixonKeegan Lowe50050
2Drew O'Connor50050Ryan SproulJoakim Ryan50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam SteelDrew O'Connor50122
2Shane GersichSven Baertschi50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan SproulTim Erixon50122
2Keegan LoweJoakim Ryan50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorSam SteelMattias TedenbyTim ErixonRyan Sproul
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorShane GersichChris TerryJoakim RyanTim Erixon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniel Brodin, Paul Carey, Sergey KalininAnthony Camara, Sven BaertschiChris Terry
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Ross, Joakim Ryan, Keegan LoweNick RossNick Ross, Tim Erixon
Tirs de pénalité
Drew O'Connor, Shane Gersich, Mattias Tedenby, Sam Steel, Sergey Kalinin
Gardien
#1 : , #2 : Nikita Serebryakov


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
1Admirals2010100078-1100010004311010000035-220.500712190054524410674604565154551131029600.00%5260.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
2Americans1000010023-11000010023-10000000000010.50024600545244102646045651545299616200.00%20100.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
3Barracuda402000021420-62020000059-420000002911-220.25014253900545244101514604565154512136166113323.08%4175.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
4Bears1010000012-1000000000001010000012-100.000123005452441035460456515452910613600.00%20100.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
5BruinsF11000000633000000000001100000063321.00061218005452441033460456515452717210100.00%10100.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
6Canucks2010000168-21000000134-11010000034-110.2506121800545244105846045651545671612376116.67%6183.33%0784164947.54%818163550.03%39883947.44%11317751147362638316
7Checkers1010000038-51010000038-50000000000000.000358005452441030460456515453721816100.00%4175.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
8Crunch1010000023-11010000023-10000000000000.000235005452441030460456515451444132150.00%2150.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
9Eagles413000001221-920200000714-72110000057-220.2501221330054524410884604565154513229417312216.67%13561.54%0784164947.54%818163550.03%39883947.44%11317751147362638316
10Firebirds312000001013-31100000053220200000510-520.33310162600545244108046045651545893622584250.00%11463.64%0784164947.54%818163550.03%39883947.44%11317751147362638316
11Griffins210001006601000010056-11100000010130.75061016015452441063460456515456220122711327.27%6183.33%0784164947.54%818163550.03%39883947.44%11317751147362638316
12Gulls21000010972210000109720000000000041.000915240054524410534604565154576234329222.22%2150.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
13Icehogs2100001010822100001010820000000000041.00010182800545244107046045651545832712345120.00%6266.67%0784164947.54%818163550.03%39883947.44%11317751147362638316
14Iowa Wild31200000911-20000000000031200000911-220.333917260054524410794604565154510428205813215.38%9455.56%0784164947.54%818163550.03%39883947.44%11317751147362638316
15Islanders1010000024-2000000000001010000024-200.0002460054524410264604565154531108185120.00%3166.67%0784164947.54%818163550.03%39883947.44%11317751147362638316
16Marlies11000000541110000005410000000000021.00059140054524410284604565154530166173133.33%30100.00%1784164947.54%818163550.03%39883947.44%11317751147362638316
17Monsters41300000916-720200000410-62110000056-120.250914230054524410113460456515451073417606233.33%6183.33%0784164947.54%818163550.03%39883947.44%11317751147362638316
18Moose10000010651100000106510000000000021.0006101600545244103746045651545316819300.00%40100.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
19Roadrunners42101000151412100100011832110000046-260.75015264100545244101304604565154511827307614428.57%9366.67%0784164947.54%818163550.03%39883947.44%11317751147362638316
20Rocket1010000015-41010000015-40000000000000.00012300545244102646045651545304418200.00%20100.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
21SenatorsF11000000523000000000001100000052321.000581300545244104146045651545245497228.57%20100.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
22Silver Knights1010000013-2000000000001010000013-200.00012300545244103046045651545245811700.00%4175.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
23Thunderbirds312000001316-320200000711-41100000065120.333132437005452441096460456515459826233914321.43%9544.44%1784164947.54%818163550.03%39883947.44%11317751147362638316
24Wolf Pack1010000015-4000000000001010000015-400.00012300545244103146045651545302775120.00%10100.00%0784164947.54%818163550.03%39883947.44%11317751147362638316
25Wolves1010000002-21010000002-20000000000000.000000005452441026460456515452041622100.00%3166.67%0784164947.54%818163550.03%39883947.44%11317751147362638316
Total48132502233155197-42255120223189113-2423813000026684-18410.427155273428015452441014474604565154514644283067731583119.62%1193570.59%2784164947.54%818163550.03%39883947.44%11317751147362638316
_Since Last GM Reset48132502233155197-42255120223189113-2423813000026684-18410.427155273428015452441014474604565154514644283067731583119.62%1193570.59%2784164947.54%818163550.03%39883947.44%11317751147362638316
_Vs Conference3391602123111138-271738021216580-151668000024658-12300.45511119630701545244109984604565154510432842055371162319.83%792765.82%1784164947.54%818163550.03%39883947.44%11317751147362638316

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4841OTL11552734281447146442830677301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4813252233155197
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25512223189113
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2381300026684
Derniers 10 matchs
WLOTWOTL SOWSOL
620110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1583119.62%1193570.59%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
4604565154554524410
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
784164947.54%818163550.03%39883947.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11317751147362638316


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 - 2023-08-257Admirals3Reign4BWXSommaire du match
2 - 2023-08-2610Reign3Iowa Wild4ALSommaire du match
6 - 2023-08-3040Reign4Barracuda5ALXXSommaire du match
8 - 2023-09-0156Barracuda5Reign2BLSommaire du match
10 - 2023-09-0372Reign2Eagles5ALSommaire du match
11 - 2023-09-0488Thunderbirds5Reign3BLSommaire du match
13 - 2023-09-06101Reign1Firebirds4ALSommaire du match
16 - 2023-09-09119Reign3Canucks4ALSommaire du match
17 - 2023-09-10127Gulls3Reign4BWSommaire du match
20 - 2023-09-13153Icehogs3Reign4BWSommaire du match
22 - 2023-09-15166Reign1Roadrunners4ALSommaire du match
24 - 2023-09-17182Roadrunners5Reign6BWXSommaire du match
27 - 2023-09-20200Barracuda4Reign3BLSommaire du match
30 - 2023-09-23225Gulls4Reign5BWXXSommaire du match
32 - 2023-09-25233Reign1Silver Knights3ALSommaire du match
34 - 2023-09-27250Reign0Monsters3ALSommaire du match
36 - 2023-09-29264Firebirds3Reign5BWSommaire du match
38 - 2023-10-01282Reign3Admirals5ALSommaire du match
41 - 2023-10-04302Monsters5Reign3BLSommaire du match
43 - 2023-10-06318Reign5Barracuda6ALXXSommaire du match
44 - 2023-10-07329Griffins6Reign5BLXSommaire du match
47 - 2023-10-10346Reign1Wolf Pack5ALSommaire du match
49 - 2023-10-12362Rocket5Reign1BLSommaire du match
53 - 2023-10-16392Icehogs5Reign6BWXXSommaire du match
55 - 2023-10-18406Reign3Eagles2AWSommaire du match
57 - 2023-10-20420Wolves2Reign0BLSommaire du match
59 - 2023-10-22437Reign3Iowa Wild2AWSommaire du match
61 - 2023-10-24453Crunch3Reign2BLSommaire du match
63 - 2023-10-26465Reign2Islanders4ALSommaire du match
66 - 2023-10-29486Monsters5Reign1BLSommaire du match
69 - 2023-11-01505Reign4Firebirds6ALSommaire du match
72 - 2023-11-04522Canucks4Reign3BLXXSommaire du match
75 - 2023-11-07546Eagles10Reign5BLSommaire du match
77 - 2023-11-09555Reign5SenatorsF2AWSommaire du match
80 - 2023-11-12577Eagles4Reign2BLSommaire du match
82 - 2023-11-14597Reign1Bears2ALSommaire du match
83 - 2023-11-15609Checkers8Reign3BLSommaire du match
86 - 2023-11-18631Reign1Griffins0AWSommaire du match
87 - 2023-11-19641Roadrunners3Reign5BWSommaire du match
89 - 2023-11-21652Reign3Iowa Wild5ALSommaire du match
92 - 2023-11-24674Marlies4Reign5BWSommaire du match
93 - 2023-11-25685Reign6BruinsF3AWSommaire du match
96 - 2023-11-28706Moose5Reign6BWXXSommaire du match
98 - 2023-11-30721Reign3Roadrunners2AWSommaire du match
100 - 2023-12-02736Reign6Thunderbirds5AWSommaire du match
102 - 2023-12-04746Thunderbirds6Reign4BLSommaire du match
104 - 2023-12-06767Reign5Monsters3AWSommaire du match
106 - 2023-12-08778Americans3Reign2BLXSommaire du match
109 - 2023-12-11801Reign-Thunderbirds-
110 - 2023-12-12809Canucks-Reign-
113 - 2023-12-15834Barracuda-Reign-
115 - 2023-12-17851Reign-Canucks-
118 - 2023-12-20868Gulls-Reign-
120 - 2023-12-22885Reign-Condors-
122 - 2023-12-24898Wolves-Reign-
123 - 2023-12-25906Reign-Comets-
126 - 2023-12-28929Reign-Silver Knights-
127 - 2023-12-29936Condors-Reign-
130 - 2024-01-01958Reign-Icehogs-
132 - 2024-01-03968Wranglers-Reign-
135 - 2024-01-06996Iowa Wild-Reign-
138 - 2024-01-091014Reign-Griffins-
140 - 2024-01-111029Griffins-Reign-
143 - 2024-01-141052Reign-Icehogs-
144 - 2024-01-151060Condors-Reign-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2024-01-191084Reign-PenguinsF-
149 - 2024-01-201093Admirals-Reign-
153 - 2024-01-241123Iowa Wild-Reign-
155 - 2024-01-261130Reign-Phantoms-
157 - 2024-01-281150Reign-Admirals-
158 - 2024-01-291154Reign-StarsF-
159 - 2024-01-301160StarsF-Reign-
161 - 2024-02-011178Reign-Condors-
163 - 2024-02-031190Wranglers-Reign-
166 - 2024-02-061211Reign-Gulls-
167 - 2024-02-071219Reign-StarsF-
169 - 2024-02-091230Silver Knights-Reign-
170 - 2024-02-101244Reign-Gulls-
173 - 2024-02-131258StarsF-Reign-
177 - 2024-02-171279Reign-Wranglers-
180 - 2024-02-201297Silver Knights-Reign-
181 - 2024-02-211310Reign-Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3414
Assistance46,59123,878
Assistance PCT93.18%95.51%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 2819 - 93.96% 111,266$2,781,662$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,570,810$ 2,440,000$ 2,440,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,512,585$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,780,264$ 76 13,956$ 1,060,656$




Reign 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

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 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

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