Connexion

Reign
GP: 3 | W: 1 | L: 2 | OTL: 0 | P: 2
GF: 13 | GA: 13 | PP%: 33.33% | PK%: 58.33%
DG: Erik Wolfe | Morale : 49 | Moyenne d’équipe : 62
Prochains matchs #60 vs Islanders
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Centre de jeu
Islanders
3-0-0, 6pts
7
FINAL
3 Reign
1-2-0, 2pts
Team Stats
W3SéquenceL2
1-0-0Fiche domicile0-2-0
2-0-0Fiche domicile1-0-0
3-0-0Derniers 10 matchs1-2-0
5.00Buts par match 4.33
2.00Buts contre par match 4.33
25.00%Pourcentage en avantage numérique33.33%
77.78%Pourcentage en désavantage numérique58.33%
Marlies
2-1-0, 4pts
3
FINAL
1 Reign
1-2-0, 2pts
Team Stats
W1SéquenceL2
0-1-0Fiche domicile0-2-0
2-0-0Fiche domicile1-0-0
2-1-0Derniers 10 matchs1-2-0
3.33Buts par match 4.33
3.33Buts contre par match 4.33
23.08%Pourcentage en avantage numérique33.33%
42.86%Pourcentage en désavantage numérique58.33%
Reign
1-2-0, 2pts
Jour 6
Islanders
3-0-0, 6pts
Statistiques d’équipe
L2SéquenceW3
0-2-0Fiche domicile1-0-0
1-0-0Fiche visiteur2-0-0
1-2-010 derniers matchs3-0-0
4.33Buts par match 5.00
4.33Buts contre par match 5.00
33.33%Pourcentage en avantage numérique25.00%
58.33%Pourcentage en désavantage numérique77.78%
Thunderbirds
1-1-0, 2pts
Jour 7
Reign
1-2-0, 2pts
Statistiques d’équipe
L1SéquenceL2
1-1-0Fiche domicile0-2-0
0-0-0Fiche visiteur1-0-0
1-1-010 derniers matchs1-2-0
1.50Buts par match 4.33
1.50Buts contre par match 4.33
0.00%Pourcentage en avantage numérique33.33%
91.67%Pourcentage en désavantage numérique58.33%
Reign
1-2-0, 2pts
Jour 8
Roadrunners
2-1-0, 4pts
Statistiques d’équipe
L2SéquenceW2
0-2-0Fiche domicile1-1-0
1-0-0Fiche visiteur1-0-0
1-2-010 derniers matchs2-1-0
4.33Buts par match 3.00
4.33Buts contre par match 3.00
33.33%Pourcentage en avantage numérique16.67%
58.33%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Alexey Toropchenko
3
Jake EvansPasses
Jake Evans
6
Jake EvansPoints
Jake Evans
7
Plus/Moins
Alexey Toropchenko
6
Victoires
Yaroslav Askarov
1
Pourcentage d’arrêts
Yaroslav Askarov
0.844

Statistiques d’équipe
Buts pour
13
4.33 GFG
Tirs pour
115
38.33 Avg
Pourcentage en avantage numérique
33.3%
1 GF
Début de zone offensive
33.3%
Buts contre
13
4.33 GAA
Tirs contre
89
29.67 Avg
Pourcentage en désavantage numérique
58.3%%
5 GA
Début de la zone défensive
35.6%
Informations de l'équipe

Directeur généralErik Wolfe
EntraîneurBen Vanderklok
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,684
Billets de saison1,500


Informations de la formation

Équipe Pro20
Équipe Mineure18
Limite contact 38 / 100
Espoirs96


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
1Jake EvansXX100.0080449588707099649374718725686875497202912,995,000$
2Alexey ToropchenkoXX100.0093579084856297623864577625666667496802621,101,000$
3Sean KuralyX100.0085598585806199628461587525747667486803212,555,000$
4Radek FaksaXXX100.0081458770806487629362587775788165476703122,340,000$
5Austin PoganskiX100.008076896776808660505758665544446448620291800,000$
6Jaroslav Chmelar (R)X100.0083848066848087565052566753444462506102231,339,000$
7Hudson FaschingXX100.0069439577775867613155576525616262506103012,115,000$
8Skyler Brind'Amour (R)X100.0076738268737986556945606357444462495902631,258,000$
9Cedric PareX100.0078777966775353577152586455444461495702631,357,000$
10Nick Swaney (R)X100.0072649165646264575052586155444460495702831,424,000$
11Emmitt Finnie (R)X100.0079719962713934597462516548444458495602031,277,000$
12Alex Doucet (R)X100.007470836570535451505048614644445549540231800,000$
13Mattias SamuelssonX100.0082468982847879622553489325646364487302521,877,000$
14Filip HronekX100.0080448172708978742571498325717166497202822,772,000$
15Timothy LiljegrenX100.0073438384747785732552507525666664466902622,196,000$
16Vladislav KolyachonokX100.0071439071736156592551486725535358506102421,249,000$
17Jonathan AspirotX100.0075747666745354522549416239444454495702631,200,000$
18Ty Murchison (R)X100.0083769980764547412528396337444451495702231,288,000$
Rayé
MOYENNE D’ÉQUIPE100.00796187737565735950555471405556624963
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
1Yaroslav Askarov (R)100.00595453726551685964597546455946590231925,000$
2Mark Sinclair100.00444050664589454989814544445951590292800,000$
Rayé
MOYENNE D’ÉQUIPE100.0052475269557057547770604545594959
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ben Vanderklok40404040404040TUR8111,000,000$


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
1Jake EvansReign (LAK)C/RW316760078137127.69%26622.18000011011100057.84%10250002.1000000100
2Alexey ToropchenkoReign (LAK)LW/RW332560044117527.27%26521.72000010110100150.00%422011.5300000010
3Filip HronekReign (LAK)D3134580751010310.00%68026.770000100018000%012001.0000000000
4Sean KuralyReign (LAK)C33144405454560.00%05618.8600001000000080.00%531011.4100000001
5Radek FaksaReign (LAK)C/LW/RW3044020865270%04615.6301101000000067.65%3430001.7100000000
6Austin PoganskiReign (LAK)RW32240205282325.00%04715.790110100000100%310001.6900000000
7Mattias SamuelssonReign (LAK)D30226809512530%47826.200000100007000%011000.5100000000
8Jaroslav ChmelarReign (LAK)RW311202010162416.67%04916.570000000004000%331000.8000000000
9Hudson FaschingReign (LAK)LW/RW3202-10054130415.38%23812.7710131000020045.45%1120001.0400000000
10Timothy LiljegrenReign (LAK)D3000-1005711620%15919.760000100018000%02200000000000
11Emmitt FinnieReign (LAK)C3000-100325240%0289.560000000003000%11100000000000
12Jonathan AspirotReign (LAK)D3000-100211220%14013.610000000001000%01200000000000
13Cedric PareReign (LAK)C3000-100436110%03311.040000000000000%01000000000000
14Nick SwaneyReign (LAK)RW3000-100212010%0248.1200000000000054.55%110000000000000
15Alex DoucetReign (LAK)LW3000-100610010%0248.220000000000000%10000000000000
16Skyler Brind'AmourReign (LAK)C3000-100521030%13812.70000000000400100.00%21000000000000
17Vladislav KolyachonokReign (LAK)D3000100565210%46220.8700021000011000%01300000000000
18Ty MurchisonReign (LAK)D3000-100231120%03913.230000000000000%00300000000000
Statistiques d’équipe totales ou en moyenne54132134192609465115536311.30%2388016.311235131123741157.06%1772818020.7700000111
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
1Yaroslav AskarovReign (LAK)31200.8444.2314200106431000030000
2Mark SinclairReign (LAK)10000.8804.87370032512000003000
Statistiques d’équipe totales ou en moyenne41200.8544.331800013894300033000


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
Alex DoucetReign (LAK)LW232002-01-12USAYes192 Lbs6 ft0NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm800,000$771,429$0$0$No---------------------------Lien
Alexey ToropchenkoReign (LAK)LW/RW261999-06-25RUSNo222 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm1,101,000$1,061,679$0$0$No1,101,000$--------934,000$--------No--------Lien
Austin PoganskiReign (LAK)RW291996-02-16USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm800,000$771,429$0$0$No---------------------------Lien / Lien NHL
Cedric PareReign (LAK)C261999-01-24QUENo205 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,357,000$1,308,536$0$0$No1,357,000$1,357,000$-------1,357,000$1,357,000$-------NoNo-------Lien
Emmitt FinnieReign (LAK)C202005-06-27ABYes191 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$1,231,393$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Filip HronekReign (LAK)D281997-11-02CZENo190 Lbs6 ft0NoNoTrade2024-12-11NoNo2FalseFalsePro & Farm2,772,000$2,673,000$0$0$No2,772,000$--------916,875$--------No--------Lien / Lien NHL
Hudson FaschingReign (LAK)LW/RW301995-07-28USANo209 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm2,115,000$2,039,464$0$0$No---------------------------Lien / Lien NHL
Jake EvansReign (LAK)C/RW291996-06-02CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,995,000$2,888,036$0$0$No---------------------------Lien / Lien NHL
Jaroslav ChmelarReign (LAK)RW222003-07-20CZEYes220 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,339,000$1,291,179$0$0$No1,339,000$1,339,000$-------1,339,000$1,339,000$-------NoNo-------Lien
Jonathan AspirotReign (LAK)D261999-05-16QUENo205 Lbs6 ft0NoNoN/ANoNo32025-12-08FalseFalsePro & Farm1,200,000$1,157,143$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Mark SinclairReign (LAK)G291996-03-08ONTNo181 Lbs6 ft0NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm800,000$771,429$0$0$No800,000$--------800,000$--------No--------Lien
Mattias SamuelssonReign (LAK)D252000-03-14USANo227 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,877,000$1,809,964$0$0$No1,877,000$--------994,920$--------No--------Lien
Nick SwaneyReign (LAK)RW281997-09-09USAYes179 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,424,000$1,373,143$0$0$No1,424,000$1,424,000$-------1,424,000$1,424,000$-------NoNo-------Lien
Radek FaksaReign (LAK)C/LW/RW311994-01-09CZENo215 Lbs6 ft3NoNoTrade2024-12-11NoNo22025-10-17FalseFalsePro & Farm2,340,000$2,256,429$0$0$No2,340,000$--------2,340,000$--------No--------Lien / Lien NHL
Sean KuralyReign (LAK)C321993-01-20USANo215 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm2,555,000$2,463,750$0$0$No---------------------------Lien / Lien NHL
Skyler Brind'AmourReign (LAK)C261999-07-27USAYes195 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,258,000$1,213,071$0$0$No1,258,000$1,258,000$-------1,258,000$1,258,000$-------NoNo-------Lien
Timothy LiljegrenReign (LAK)D261999-04-30SWENo201 Lbs6 ft1NoNoTrade2024-12-05NoNo2FalseFalsePro & Farm2,196,000$2,117,571$0$0$No2,196,000$--------2,196,000$--------No--------Lien / Lien NHL
Ty MurchisonReign (LAK)D222003-02-02USAYes205 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,288,000$1,242,000$0$0$No1,288,000$1,288,000$-------1,288,000$1,288,000$-------NoNo-------Lien
Vladislav KolyachonokReign (LAK)D242001-05-26BLRNo195 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,249,000$1,204,393$0$0$No1,249,000$--------1,249,000$--------No--------Lien
Yaroslav AskarovReign (LAK)G232002-06-16RUSYes178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$891,964$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2026.25201 Lbs6 ft22.051,583,400$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sean KuralyJake EvansAlexey Toropchenko40122
2Austin PoganskiRadek FaksaJaroslav Chmelar30122
3Skyler Brind'AmourHudson FaschingCedric Pare20122
4Emmitt FinnieNick SwaneyAlex Doucet10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonFilip Hronek40122
2Timothy LiljegrenVladislav Kolyachonok30122
3Jonathan AspirotTy Murchison20122
4Mattias SamuelssonFilip Hronek10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sean KuralyJake EvansAlexey Toropchenko60122
2Austin PoganskiRadek FaksaHudson Fasching40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonFilip Hronek60122
2Timothy LiljegrenVladislav Kolyachonok40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jake EvansAlexey Toropchenko60122
2Jaroslav ChmelarSkyler Brind'Amour40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekMattias Samuelsson60122
2Vladislav KolyachonokTimothy Liljegren40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sean Kuraly60122Filip HronekMattias Samuelsson60122
2Nick Swaney40122Jonathan AspirotTy Murchison40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sean KuralyJake Evans60122
2Alexey ToropchenkoCedric Pare40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mattias SamuelssonFilip Hronek60122
2Ty MurchisonJonathan Aspirot40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sean KuralyJake EvansAlexey ToropchenkoMattias SamuelssonFilip Hronek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sean KuralyJake EvansAlexey ToropchenkoMattias SamuelssonFilip Hronek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Doucet, Jake Evans, Sean KuralyAlexey Toropchenko, Radek FaksaEmmitt Finnie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Filip Hronek, Mattias Samuelsson, Timothy LiljegrenFilip HronekVladislav Kolyachonok, Mattias Samuelsson
Tirs de pénalité
Alex Doucet, Jake Evans, Sean Kuraly, Alexey Toropchenko, Radek Faksa
Gardien
#1 : Yaroslav Askarov, #2 : Mark Sinclair


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
1Bears11000000936000000000001100000093621.00091524001930343045400337825000%4250.00%1375962.71%336352.38%315556.36%643757295825
2Islanders1010000037-41010000037-40000000000000.00034700193042304540040118263133.33%3233.33%0375962.71%336352.38%315556.36%643757295825
3Marlies1010000013-21010000013-20000000000000.0001230019303930454001651043000%5180.00%0375962.71%336352.38%315556.36%643757295825
Total312000001313020200000410-61100000093620.3331321340019301153045400892326943133.33%12558.33%1375962.71%336352.38%315556.36%643757295825
_Since Last GM Reset312000001313020200000410-61100000093620.3331321340019301153045400892326943133.33%12558.33%1375962.71%336352.38%315556.36%643757295825
_Vs Conference312000001313020200000410-61100000093620.3331321340019301153045400892326943133.33%12558.33%1375962.71%336352.38%315556.36%643757295825
_Vs Division1120000013-21020000013-20100000000021.0001230019303930454001651043000%5180.00%0375962.71%336352.38%315556.36%643757295825

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
32L21321341158923269400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
31200001313
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000410
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000093
Derniers 10 matchs
WLOTWOTL SOWSOL
120000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3133.33%12558.33%1
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
30454001930
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
375962.71%336352.38%315556.36%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
643757295825


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
12Reign9Bears3WSommaire du match
220Islanders7Reign3LSommaire du match
439Marlies3Reign1LSommaire du match
660Reign-Islanders-
778Thunderbirds-Reign-
883Reign-Roadrunners-
10102Griffins-Reign-
11127Thunderbirds-Reign-
12137Reign-Griffins-
13145Reign-Bears-
14159Reign-Thunderbirds-
15178Griffins-Reign-
17198Comets-Reign-
18218Reign-Phantoms-
19223Reign-Bears-
20237Reign-Roadrunners-
21251Phantoms-Reign-
23270Roadrunners-Reign-
24288Comets-Reign-
26302Reign-Moose-
27319Reign-Gulls-
28331Gulls-Reign-
29347Penguins-Reign-
30364Reign-Penguins-
32383Reign-Wolves-
33396Checkers-Reign-
34413Reign-Monsters-
35425Heat-Reign-
36443Reign-Thunderbirds-
37457Condors-Reign-
39478Islanders-Reign-
40496Thunderbirds-Reign-
41510Reign-Senators-
42523Reign-Eagles-
43539Wolf Pack-Reign-
44556Reign-Crunch-
45567Roadrunners-Reign-
46586Bears-Reign-
47595Reign-Phantoms-
48615Reign-Crunch-
49629Moose-Reign-
50645Reign-Griffins-
51660Bruins-Reign-
53675Reign-Rocket-
54688Reign-Heat-
55704Rocket-Reign-
56720Reign-Silver Knights-
57735Monsters-Reign-
59753Reign-Comets-
60764Crunch-Reign-
61783Americans-Reign-
63795Reign-Stars-
64815Reign-Bears-
65827Bears-Reign-
67847Wild-Reign-
68858Reign-Roadrunners-
69876Silver Knights-Reign-
70883Reign-Checkers-
72906Reign-Marlies-
73914Reign-IceHogs-
74928Admirals-Reign-
75944Reign-Canucks-
77958Canucks-Reign-
79976Stars-Reign-
80992Reign-Bruins-
811008Griffins-Reign-
831031Phantoms-Reign-
841038Reign-Marlies-
861067Checkers-Reign-
881082Reign-Thunderbirds-
891096Reign-Condors-
901108IceHogs-Reign-
911128Reign-Wolf Pack-
921140Eagles-Reign-
941160Barracuda-Reign-
961185Wolves-Reign-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981208Reign-Barracuda-
991216Marlies-Reign-
1011242Phantoms-Reign-
1021251Reign-Wild-
1041272Marlies-Reign-
1051276Reign-Admirals-
1061293Reign-Americans-
1071301Reign-Islanders-
1091315Senators-Reign-
1101320Reign-Islanders-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance3,8661,502
Assistance PCT96.65%75.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 2684 - 89.47% 103,190$206,380$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
148,816$ 3,166,800$ 3,166,800$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
28,275$ 113,100$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,230,790$ 108 37,204$ 4,018,032$




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