Connexion

Reign
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Notor | Morale : 40 | Moyenne d’équipe : 58
Prochain matchs #4 vs Silver Knights
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Silver Knights
0-0-0, 0pts
2022-09-13
Reign
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Firebirds
0-0-0, 0pts
2022-09-15
Reign
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Reign
0-0-0, 0pts
2022-09-17
Wild
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
0.00 GFG
Tirs pour
0
0.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
0.0%
Buts contre
0
0.00 GAA
Tirs contre
0
0.00 Avg
Pourcentage en désavantage numérique
0.0%
0 GA
Début de la zone défensive
0.0%
Information d’équipe

Directeur généralNotor
EntraîneurJohn Hynes
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Information formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 90
Espoirs28


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique76-54-22 (0.500%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)0-8
Stanley Cup0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Michael Carcone0XX100.00804880667562566246646761645969040600261750,000$
2Julien Gauthier0X100.00905288549275595453615962605265040590241750,000$
3Jonny Brodzinski0XX100.00544877568663516275656462625867040590291850,000$
4Jonatan Berggren (R)0X100.00504175617960486440696362625161040580222850,000$
5Nicholas Robertson (R)0X100.00703976637760386240646759645262040580212850,000$
6Trey Fix-Wolansky0X100.00744776597760496040646359625262040570231925,000$
7Tim Gettinger0X100.00885576529160465758645960605366040570241750,000$
8Ty Ronning0X100.00504175587860475940646262615262040570242750,000$
9Mikhail Abramov (R)0X100.00503875597760445660645762595161040560213850,000$
10Justin Brazeau0XXX100.00505675469760475840636262615262040560241750,000$
11Patrick Khodorenko0X100.00505075548360445660635962605161040550231925,000$
12Lukas Rousek (R)0X100.00503875577760105240615662585362040530232850,000$
13Luke Schenn0X100.009966845990807266206764756269810406903211,000,000$
14Jack Rathbone (R)0X100.00574479637760437520706666635161040600231925,000$
15Brogan Rafferty0X100.005045755384604368206459686052620405802732,000,000$
16Dmitri Samorukov0X100.00504275558260456720645971605161040580232863,000$
17Tim Berni (R)0X100.00504175558060506520625768595161040570222850,000$
18Nick Cicek (R)0X100.00505075548560317020656068605161040570222925,000$
Rayé
1Andrei Altybarmakian (R)0X100.00504375568160435740645962605262040560241850,000$
2Maxim Cajkovic (R)0XXX100.00504475538160235240605862595161040530213750,000$
3Ostap Safin0XXX100.00505375498960135140605662585363040520231700,000$
4Ethan Keppen (R)0X100.00504675498560104840585562585060040510212750,000$
5Ben Finkelstein (R)0X100.00504075587760147120676068605765040570251750,000$
6Josh Maniscalco (R)0X100.00504675518660446520626068605362040570231925,000$
MOYENNE D’ÉQUIPE100.0059467756836240613864606461536304057
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Justus Annunen (R)100.0065726988686965696966676667040680
2Ilya Konovalov (R)100.0052585582575656575753557068040580
Rayé
1Michael McNiven100.0053646184585757585854567169040600
MOYENNE D’ÉQUIPE100.005765628561615961615859696804062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Hynes75757575757575USA628500,000$


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
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


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 restantSalaire moyenSalaire moyen 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
Andrei AltybarmakianReign (LAK)RW248/4/1998Yes192 Lbs5 ft11NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLien
Ben FinkelsteinReign (LAK)D2510/1/1997Yes181 Lbs5 ft9NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Brogan Rafferty (contrat à 1 volet)Reign (LAK)D275/28/1995No200 Lbs6 ft1NoNoNo3Pro & Farm2,000,000$1,978,836$2,000,000$1,978,836$875,000$865,741$No2,000,000$2,000,000$Lien
Dmitri SamorukovReign (LAK)D236/16/1999No188 Lbs6 ft3NoNoNo2Pro & Farm863,000$853,868$863,000$853,868$0$0$No863,000$Lien
Ethan KeppenReign (LAK)LW213/20/2001Yes203 Lbs6 ft2NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Ilya KonovalovReign (LAK)G247/1/1998Yes196 Lbs5 ft11NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLien
Jack RathboneReign (LAK)D235/20/1999Yes177 Lbs5 ft10NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Jonatan BerggrenReign (LAK)LW227/16/2000Yes183 Lbs5 ft11NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Jonny BrodzinskiReign (LAK)C/RW296/19/1993No211 Lbs6 ft1NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLien
Josh ManiscalcoReign (LAK)D232/17/1999Yes205 Lbs6 ft2NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Julien Gauthier (contrat à 1 volet)Reign (LAK)RW2410/15/1997No227 Lbs6 ft4NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Justin BrazeauReign (LAK)C/LW/RW242/2/1998No245 Lbs6 ft5NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Justus AnnunenReign (LAK)G227/1/2000Yes209 Lbs6 ft4NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Lukas RousekReign (LAK)RW234/20/1999Yes172 Lbs5 ft11NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Luke SchennReign (LAK)D3211/2/1989No225 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Maxim CajkovicReign (LAK)C/LW/RW211/3/2001Yes194 Lbs5 ft11NoNoNo3Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$750,000$Lien
Michael CarconeReign (LAK)LW/RW265/19/1996No170 Lbs5 ft9NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Michael McNivenReign (LAK)G257/1/1997No198 Lbs6 ft1NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Mikhail AbramovReign (LAK)C213/26/2001Yes172 Lbs6 ft0NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Nicholas RobertsonReign (LAK)LW219/11/2001Yes177 Lbs5 ft10NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Nick CicekReign (LAK)D225/29/2000Yes200 Lbs6 ft3NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Ostap SafinReign (LAK)C/LW/RW232/11/1999No210 Lbs6 ft5NoNoNo1Pro & Farm700,000$692,593$700,000$692,593$0$0$NoLien
Patrick KhodorenkoReign (LAK)C2310/13/1998No198 Lbs6 ft0NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Tim BerniReign (LAK)D222/11/2000Yes183 Lbs6 ft0NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Tim GettingerReign (LAK)LW244/14/1998No220 Lbs6 ft6NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Trey Fix-WolanskyReign (LAK)RW235/26/1999No186 Lbs5 ft7NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Ty RonningReign (LAK)RW2410/20/1997No185 Lbs5 ft9NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2723.74197 Lbs6 ft11.56873,630$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jonatan BerggrenJonny BrodzinskiNicholas Robertson40122
2Michael CarconeJustin BrazeauTrey Fix-Wolansky30122
3Julien GauthierMikhail AbramovTy Ronning20122
4Tim GettingerPatrick KhodorenkoLukas Rousek10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke SchennJack Rathbone40122
2Brogan RaffertyDmitri Samorukov30122
3Tim BerniNick Cicek20122
4Luke SchennJack Rathbone10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael CarconeJonny BrodzinskiJulien Gauthier60122
2Nicholas RobertsonJustin BrazeauTrey Fix-Wolansky40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke SchennJack Rathbone60122
2Brogan RaffertyDmitri Samorukov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael CarconeJonny Brodzinski60122
2Julien GauthierNicholas Robertson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke SchennJack Rathbone60122
2Brogan RaffertyDmitri Samorukov40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Carcone60122Luke SchennJack Rathbone60122
2Jonny Brodzinski40122Brogan RaffertyDmitri Samorukov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael CarconeJonny Brodzinski60122
2Julien GauthierNicholas Robertson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke SchennJack Rathbone60122
2Brogan RaffertyDmitri Samorukov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael CarconeJonny BrodzinskiJulien GauthierLuke SchennJack Rathbone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael CarconeJonny BrodzinskiJulien GauthierLuke SchennJack Rathbone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonatan Berggren, Tim Gettinger, Mikhail AbramovJonatan Berggren, Tim GettingerMikhail Abramov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tim Berni, Nick Cicek, Brogan RaffertyTim BerniNick Cicek, Brogan Rafferty
Tirs de pénalité
Michael Carcone, Jonny Brodzinski, Julien Gauthier, Nicholas Robertson, Jonatan Berggren
Gardien
#1 : Justus Annunen, #2 : Ilya Konovalov
Lignes d’attaque personnalisées en prolongation
Michael Carcone, Jonny Brodzinski, Julien Gauthier, Nicholas Robertson, Jonatan Berggren, Tim Gettinger, Tim Gettinger, Trey Fix-Wolansky, Justin Brazeau, Mikhail Abramov, Ty Ronning
Lignes de défense personnalisées en prolongation
Luke Schenn, Jack Rathbone, Brogan Rafferty, Dmitri Samorukov, Tim Berni


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
5 - 2022-09-134Silver Knights-Reign-
7 - 2022-09-1520Firebirds-Reign-
9 - 2022-09-1734Reign-Wild-
11 - 2022-09-1944Reign-Griffins-
12 - 2022-09-2052Reign-Admirals-
14 - 2022-09-2262Reign-Penguins-
16 - 2022-09-2480Reign-Bears-
19 - 2022-09-27106Crunch-Reign-
21 - 2022-09-29120Moose-Reign-
23 - 2022-10-01130Marlies-Reign-
25 - 2022-10-03146Reign-Thunderbirds-
26 - 2022-10-04153Reign-Stars-
28 - 2022-10-06168Reign-IceHogs-
30 - 2022-10-08189Checkers-Reign-
33 - 2022-10-11206Wild-Reign-
35 - 2022-10-13220IceHogs-Reign-
37 - 2022-10-15237Griffins-Reign-
39 - 2022-10-17245Reign-Heat-
41 - 2022-10-19259Reign-Condors-
43 - 2022-10-21273Reign-Canucks-
44 - 2022-10-22286Reign-Firebirds-
47 - 2022-10-25302Wolf Pack-Reign-
50 - 2022-10-28331Reign-Barracuda-
52 - 2022-10-30345Senators-Reign-
54 - 2022-11-01360Firebirds-Reign-
56 - 2022-11-03375Roadrunners-Reign-
58 - 2022-11-05391Wolves-Reign-
61 - 2022-11-08406Reign-Senators-
63 - 2022-11-10420Reign-Marlies-
65 - 2022-11-12439Reign-Rocket-
66 - 2022-11-13443Reign-Monsters-
68 - 2022-11-15457Reign-Americans-
70 - 2022-11-17472Reign-Bruins-
72 - 2022-11-19496Barracuda-Reign-
75 - 2022-11-22516Gulls-Reign-
77 - 2022-11-24531Heat-Reign-
78 - 2022-11-25543Reign-Roadrunners-
82 - 2022-11-29557Silver Knights-Reign-
84 - 2022-12-01571Reign-Eagles-
86 - 2022-12-03580Phantoms-Reign-
89 - 2022-12-06608Stars-Reign-
91 - 2022-12-08621Bruins-Reign-
93 - 2022-12-10634Reign-Silver Knights-
95 - 2022-12-12647Condors-Reign-
97 - 2022-12-14661Barracuda-Reign-
100 - 2022-12-17690Comets-Reign-
105 - 2022-12-22729Stars-Reign-
107 - 2022-12-24742Reign-Admirals-
108 - 2022-12-25747Reign-IceHogs-
110 - 2022-12-27757Reign-Phantoms-
113 - 2022-12-30781Reign-Checkers-
114 - 2022-12-31791Reign-Crunch-
117 - 2023-01-03802Reign-Wolves-
128 - 2023-01-14845Penguins-Reign-
130 - 2023-01-16854Americans-Reign-
134 - 2023-01-20882Reign-Gulls-
135 - 2023-01-21892Roadrunners-Reign-
138 - 2023-01-24913Reign-Wild-
140 - 2023-01-26923Reign-Comets-
141 - 2023-01-27934Reign-Islanders-
143 - 2023-01-29950Reign-Wolf Pack-
145 - 2023-01-31961Reign-Moose-
147 - 2023-02-02982Rocket-Reign-
149 - 2023-02-041000Thunderbirds-Reign-
151 - 2023-02-061011Bears-Reign-
154 - 2023-02-091033Reign-Eagles-
156 - 2023-02-111052Admirals-Reign-
159 - 2023-02-141075Islanders-Reign-
161 - 2023-02-161089Monsters-Reign-
163 - 2023-02-181104Canucks-Reign-
165 - 2023-02-201119Heat-Reign-
170 - 2023-02-251153Moose-Reign-
171 - 2023-02-261169Thunderbirds-Reign-
173 - 2023-02-281183Reign-Heat-
175 - 2023-03-021197Reign-Condors-
177 - 2023-03-041213Reign-Firebirds-
178 - 2023-03-051224Reign-Canucks-
180 - 2023-03-071237Condors-Reign-
182 - 2023-03-091255Reign-Silver Knights-
184 - 2023-03-111272Eagles-Reign-
186 - 2023-03-131284Canucks-Reign-
189 - 2023-03-161310Reign-Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
22,050$ 2,083,800$ 2,083,800$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,025$ 22,050$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 11,025$ 2,061,675$




TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
11822727081433197211-144116100780010391124111170163394120-2693197319516162675851526347039219666823097752732211963839.58%1003961.00%1815160350.84%639134747.44%50597152.01%166984215628071752859
11822727081433197211-144116100780010391124111170163394120-2693197319516162675851526347039219666823097752732211963839.58%1003961.00%1815160350.84%639134747.44%50597152.01%166984215628071752859
Total Saison régulière16454540162866394422-28823220014160020618224822234021266188240-521863946381032212521501703052681406184219321364618155054644221927639.58%2007861.00%21630320650.84%1278269447.44%1010194252.01%333916853124161435051718
Séries éliminatoires
1140400000812-42020000046-22020000046-20814220006201624060382417955101137114.29%5180.00%05713043.85%428251.22%225341.51%965492398443
1140400000812-42020000046-22020000046-20814220006201624060382417955101137114.29%5180.00%05713043.85%428251.22%225341.51%965492398443
Total Séries éliminatoires808000001624-840400000812-440400000812-4016284400012403248012076483581102022614214.29%10280.00%011426043.85%8416451.22%4410641.51%1931081857916887