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Connexion

Ontario Reign
GP: 15 | W: 9 | L: 5 | OTL: 1 | P: 19
GF: 71 | GA: 66 | PP%: 34.38% | PK%: 77.78%
DG: Yann Bourgoin | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #267 vs Manitoba Moose

Centre de jeu
Colorado Eagles
10-7-1, 21pts
2
FINAL
5 Ontario Reign
9-5-1, 19pts
Team Stats
SOL1SéquenceW2
4-3-1Fiche domicile7-1-1
6-4-0Fiche domicile2-4-0
6-3-1Derniers 10 matchs7-3-0
3.56Buts par match 4.73
3.61Buts contre par match 4.40
24.39%Pourcentage en avantage numérique34.38%
70.97%Pourcentage en désavantage numérique77.78%
Manitoba Moose
5-8-2, 12pts
1
FINAL
4 Ontario Reign
9-5-1, 19pts
Team Stats
L2SéquenceW2
3-3-2Fiche domicile7-1-1
2-5-0Fiche domicile2-4-0
2-6-2Derniers 10 matchs7-3-0
3.53Buts par match 4.73
4.00Buts contre par match 4.40
23.53%Pourcentage en avantage numérique34.38%
80.95%Pourcentage en désavantage numérique77.78%
Ontario Reign
9-5-1, 19pts
Jour 40
Manitoba Moose
5-8-2, 12pts
Statistiques d’équipe
W2SéquenceL2
7-1-1Fiche domicile3-3-2
2-4-0Fiche visiteur2-5-0
7-3-010 derniers matchs2-6-2
4.73Buts par match 3.53
4.40Buts contre par match 3.53
34.38%Pourcentage en avantage numérique23.53%
77.78%Pourcentage en désavantage numérique80.95%
Ontario Reign
9-5-1, 19pts
Jour 42
Rochester Americans
7-9-1, 15pts
Statistiques d’équipe
W2SéquenceL1
7-1-1Fiche domicile3-4-1
2-4-0Fiche visiteur4-5-0
7-3-010 derniers matchs4-5-1
4.73Buts par match 4.94
4.40Buts contre par match 4.94
34.38%Pourcentage en avantage numérique35.29%
77.78%Pourcentage en désavantage numérique74.29%
Cleveland Monsters
9-6-2, 20pts
Jour 44
Ontario Reign
9-5-1, 19pts
Statistiques d’équipe
L1SéquenceW2
4-4-0Fiche domicile7-1-1
5-2-2Fiche visiteur2-4-0
5-3-210 derniers matchs7-3-0
4.24Buts par match 4.73
4.47Buts contre par match 4.73
23.26%Pourcentage en avantage numérique34.38%
53.49%Pourcentage en désavantage numérique77.78%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
71
4.73 GFG
Tirs pour
696
46.40 Avg
Pourcentage en avantage numérique
34.4%
11 GF
Début de zone offensive
41.0%
Buts contre
66
4.40 GAA
Tirs contre
623
41.53 Avg
Pourcentage en désavantage numérique
77.8%%
10 GA
Début de la zone défensive
39.8%
Informations de l'équipe

Directeur généralYann Bourgoin
EntraîneurEd Belfour
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité9,000
Assistance8,672
Billets de saison8,370


Informations de la formation

Équipe Pro20
Équipe Mineure18
Limite contact 38 / 60
Espoirs9


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
1Curtis LazarXXX100.00804881748083877076676472698575050720301775,000$
2Hudson FaschingXX100.00694088728482856948656467688474050700301775,000$
3Cole KoepkeXX100.007544847175767471416466677058500506702711,000,000$
4Brian HalonenX100.00634467656566646344576361645450050610261775,000$
5Nathan GaucherX100.00665060636862606057585560595050050600222886,667$
6Scott SabourinX100.00556452606672716243585752596558050600331775,000$
7Chase BradleyX100.00614263656162616042555761615150050590231872,500$
8Sam HonzekX100.00624167626258566042585559595050050580212918,333$
9Pierre-Olivier JosephX100.00695272757884797040666272696858050710261775,000$
10Parker WotherspoonX100.007050817577857369406661746859500507002821,000,000$
11Dysin MayoX100.00565159656369676340585862625751050620291775,000$
12Ethan SamsonX100.00604465686462596440566160645050050610221846,667$
13Artem GrushnikovX100.00624269636663625940525362595050050600221814,167$
Rayé
1Milos KelemenXXX100.006344666069636159415554565853500505802600$
2Riley BezeauXXX100.006046646563625956405151565751500505702300$
3Will ZmolekX100.006240696367636055405252645753500506002600$
4Joe ArntsenX100.006241666165585755405354615750500505902200$
5Artur CholachX100.006140626164585754405353595550500505802200$
MOYENNE D’ÉQUIPE100.0064466966696866624458586362585405062
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
1Jakub Skarek100.0069636566666567636667565350050600261775,000$
2Vyacheslav Peksa100.0059575762595656545658545050050530231851,667$
Rayé
MOYENNE D’ÉQUIPE100.006460616463616259616355525005057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ed Belfour1111111CAN6051$


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Artem GrushnikovOntario Reign (LAK)D222003-03-20RUSNo201 Lbs6 ft2NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm814,167$639,374$0$0$No---------------------------Lien NHL
Artur CholachOntario Reign (LAK)D222003-06-06UKRNo198 Lbs6 ft4NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Brian HalonenOntario Reign (LAK)LW261999-01-11USANo205 Lbs6 ft0NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Chase BradleyOntario Reign (LAK)LW232002-01-09USANo181 Lbs5 ft11NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm872,500$685,184$0$0$No---------------------------
Cole KoepkeOntario Reign (LAK)LW/RW271998-05-17USANo207 Lbs6 ft1NoNoFantasy DraftNoNo12025-07-02FalseFalsePro & Farm1,000,000$785,311$0$0$No---------------------------Lien NHL
Curtis LazarOntario Reign (LAK)C/LW/RW301995-02-02CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo12025-07-02FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Dysin MayoOntario Reign (LAK)D291996-08-17CANNo194 Lbs6 ft2NoNoFantasy DraftNoNo12025-07-22FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Ethan SamsonOntario Reign (LAK)D222003-08-23CANNo181 Lbs6 ft1NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm846,667$664,897$0$0$No---------------------------Lien NHL
Hudson FaschingOntario Reign (LAK)LW/RW301995-07-28USANo209 Lbs6 ft3NoNoFantasy DraftNoNo12025-08-19FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Jakub SkarekOntario Reign (LAK)G261999-11-10CZENo203 Lbs6 ft3NoNoFantasy DraftNoNo12025-07-22FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Joe ArntsenOntario Reign (LAK)D222003-05-22CANNo209 Lbs6 ft3NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Milos KelemenOntario Reign (LAK)C/LW/RW261999-07-06SLVNo212 Lbs6 ft2NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Nathan GaucherOntario Reign (LAK)C222003-11-06CANNo207 Lbs6 ft3NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm886,667$696,309$0$0$No886,667$--------886,667$--------No--------Lien NHL
Parker WotherspoonOntario Reign (LAK)D281997-08-24CANNo192 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-02FalseFalsePro & Farm1,000,000$785,311$0$0$No1,000,000$--------1,000,000$--------No--------Lien NHL
Pierre-Olivier JosephOntario Reign (LAK)D261999-07-01CANNo185 Lbs6 ft2NoNoAssign ManuallyNoNo12025-07-02FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Riley BezeauOntario Reign (LAK)C/LW/RW232002-05-04CANNo187 Lbs6 ft0NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Sam HonzekOntario Reign (LAK)LW212004-11-12SLVNo185 Lbs6 ft4NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm918,333$721,177$0$0$No918,333$--------918,333$--------No--------Lien NHL
Scott SabourinOntario Reign (LAK)RW331992-07-30CANNo207 Lbs6 ft3NoNoFantasy DraftNoNo12025-07-22FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Vyacheslav PeksaOntario Reign (LAK)G232002-08-27RUSNo181 Lbs6 ft3NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm851,667$668,823$0$0$No---------------------------
Will ZmolekOntario Reign (LAK)D261999-04-17USANo209 Lbs6 ft4NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2025.35198 Lbs6 ft20.90630,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
130122
230122
325122
415122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
130122
230122
325122
415122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
150122
250122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
250122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
250122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15012250122
25012250122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
250122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
1Abbotsford Canucks20100100810-21000010056-11010000034-110.250815230027212128826019523928118145511100.00%7271.43%031562150.72%30160349.92%14929251.03%30320841611218385
2Bakersfield Condors22000000752110000003211100000043141.00071421002721212902601952392772014367114.29%7185.71%031562150.72%30160349.92%14929251.03%30320841611218385
3Calgary Wranglers10001000871100010008710000000000021.000816240027212125326019523925118428100.00%2150.00%031562150.72%30160349.92%14929251.03%30320841611218385
4Colorado Eagles21100000880211000008800000000000020.500814220027212127426019523927923164744100.00%8187.50%031562150.72%30160349.92%14929251.03%30320841611218385
5Henderson Silver Knights11000000743110000007430000000000021.0007142100272121245260195239234911242150.00%2150.00%031562150.72%30160349.92%14929251.03%30320841611218385
6Manitoba Moose11000000413110000004130000000000021.0004812002721212612601952392307826200.00%40100.00%031562150.72%30160349.92%14929251.03%30320841611218385
7Milwaukee Admirals11000000642110000006420000000000021.000611170027212125326019523924317823600.00%40100.00%031562150.72%30160349.92%14929251.03%30320841611218385
8San Diego Gulls10001000541000000000001000100054121.000510150027212124926019523924282272150.00%10100.00%031562150.72%30160349.92%14929251.03%30320841611218385
9San Jose Barracuda2110000012120110000007431010000058-320.50012223400272121295260195239290268407342.86%4250.00%031562150.72%30160349.92%14929251.03%30320841611218385
10Texas Stars20200000611-50000000000020200000611-500.0006121800272121288260195239296391061000%6266.67%031562150.72%30160349.92%14929251.03%30320841611218385
Total1575021007166596101100483612614010002330-7190.63371136207002721212696260195239262318595367321134.38%451077.78%031562150.72%30160349.92%14929251.03%30320841611218385
_Since Last GM Reset1575021007166596101100483612614010002330-7190.63371136207002721212696260195239262318595367321134.38%451077.78%031562150.72%30160349.92%14929251.03%30320841611218385
_Vs Conference1575021007166596101100483612614010002330-7190.63371136207002721212696260195239262318595367321134.38%451077.78%031562150.72%30160349.92%14929251.03%30320841611218385
_Vs Division94202100474255300110030237412010001719-2130.72247911380027212124202601952392375995321020735.00%23769.57%031562150.72%30160349.92%14929251.03%30320841611218385

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1519W2711362076966231859536700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
157521007166
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
96111004836
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
61410002330
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
321134.38%451077.78%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
26019523922721212
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
31562150.72%30160349.92%14929251.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
30320841611218385


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
315Milwaukee Admirals4Ontario Reign6WSommaire du match
636Abbotsford Canucks6Ontario Reign5LXSommaire du match
1165Colorado Eagles6Ontario Reign3LSommaire du match
1588Ontario Reign3Abbotsford Canucks4LSommaire du match
1698Calgary Wranglers7Ontario Reign8WXSommaire du match
19116Ontario Reign5San Jose Barracuda8LSommaire du match
21129Henderson Silver Knights4Ontario Reign7WSommaire du match
23143Ontario Reign4Bakersfield Condors3WSommaire du match
25161Bakersfield Condors2Ontario Reign3WSommaire du match
28181Ontario Reign5San Diego Gulls4WXSommaire du match
29192Ontario Reign5Texas Stars7LSommaire du match
31201San Jose Barracuda4Ontario Reign7WSommaire du match
34225Ontario Reign1Texas Stars4LSommaire du match
35234Colorado Eagles2Ontario Reign5WSommaire du match
38256Manitoba Moose1Ontario Reign4WSommaire du match
40267Ontario Reign-Manitoba Moose-
42280Ontario Reign-Rochester Americans-
44296Cleveland Monsters-Ontario Reign-
48322Charlotte Checkers-Ontario Reign-
51343Ontario Reign-Grand Rapids Griffins-
53353Ontario Reign-San Diego Gulls-
55364Bakersfield Condors-Ontario Reign-
58380Ontario Reign-Calgary Wranglers-
59393Rockford IceHogs-Ontario Reign-
63416Ontario Reign-Tucson Roadrunners-
65425San Jose Barracuda-Ontario Reign-
67443Ontario Reign-Tucson Roadrunners-
69456Milwaukee Admirals-Ontario Reign-
73481Ontario Reign-Syracuse Crunch-
75489Bridgeport Islanders-Ontario Reign-
77501Ontario Reign-Springfield Thunderbirds-
80518Ontario Reign-Henderson Silver Knights-
82528Tucson Roadrunners-Ontario Reign-
85553Ontario Reign-Milwaukee Admirals-
87559Henderson Silver Knights-Ontario Reign-
91586Ontario Reign-Henderson Silver Knights-
92593Hartford Wolf Pack-Ontario Reign-
95616Iowa Wild-Ontario Reign-
97628Ontario Reign-Colorado Eagles-
100641Ontario Reign-Calgary Wranglers-
102656Laval Rocket-Ontario Reign-
104673Ontario Reign-Toronto Marlies-
107688Syracuse Crunch-Ontario Reign-
109705Ontario Reign-Hershey Bears-
111715Ontario Reign-Chicago Wolves-
112723Rockford IceHogs-Ontario Reign-
115741Ontario Reign-Abbotsford Canucks-
117754Toronto Marlies-Ontario Reign-
119771Ontario Reign-Wilkes-Barre Penguins-
121786Belleville Senators-Ontario Reign-
123795Ontario Reign-Providence Bruins-
127822Lehigh Valley Phantoms-Ontario Reign-
130840Ontario Reign-Manitoba Moose-
132851Ontario Reign-Iowa Wild-
133858Calgary Wranglers-Ontario Reign-
136884San Diego Gulls-Ontario Reign-
139904Ontario Reign-Utica Comets-
141913Chicago Wolves-Ontario Reign-
143921Ontario Reign-Chicago Wolves-
145935Ontario Reign-Coachella Valley Firebirds-
147950Coachella Valley Firebirds-Ontario Reign-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151972Ontario Reign-Coachella Valley Firebirds-
152983Ontario Reign-Bakersfield Condors-
154990San Diego Gulls-Ontario Reign-
1561007Ontario Reign-San Jose Barracuda-
1581019Abbotsford Canucks-Ontario Reign-
1641050Texas Stars-Ontario Reign-
1661066Ontario Reign-Rockford IceHogs-
1701087Iowa Wild-Ontario Reign-
1751111Coachella Valley Firebirds-Ontario Reign-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60003000
Prix des billets5025
Assistance52,40125,651
Assistance PCT97.04%95.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 8672 - 96.36% 434,843$3,913,590$9000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
299,740$ 1,261,501$ 1,261,501$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 299,740$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
11,305,927$ 139 7,127$ 990,653$




Ontario 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

Ontario 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

Ontario 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

Ontario 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

Ontario 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