Reign

GP: 4 | W: 0 | L: 4 | OTL: 0 | P: 0
GF: 3 | GA: 23 | PP%: 6.67% | PK%: 87.50%
DG: Alexandre Lahaie | Morale : 47 | Moyenne d'Équipe : N/A
Prochain matchs #68 vs Admirals
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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 SP
1Maxim Mamin (R)X100.0082558074756968675060626355606515100
2Kalle KossilaX100.0068556073656869657461616155505015100
3Casey BaileyX100.0056555555575858555055555555697415100
4Danick MartelX100.0055557267585970575056576055667415100
5Mathieu Joseph (R)X100.0068557655656977585055585555505015100
6Scott Glennie (R)X100.0056555555555555555055555555505015100
7Daniel Pribyl (R)X100.0056555555565757555055555555727415100
8Manuel Wiederer (R)X100.0056555555555555555055555555505015100
9Steve MosesX100.0056555555555555555055555555505015100
10Jordan SchroederX100.0062557376636061657460616255596015100
11Zach SillX100.0056556864746970555055555555555515100
12Cole BardreauX100.0058556763736569555055555855747315100
13Kerby RychelX100.0066555872797282625061626055505015100
14James Wisniewski (R)X100.0055555760575756572557575755757715100
15Jesse GrahamX100.0056555960595958592559595955535314800
16Tucker Poolman (R)X100.0071559882557255702561627555707015100
17Mark FayneX100.0059555961595979592559595955807515100
18Nick SeelerX100.0072557162777658722562607155535315100
Rayé
MOYENNE D'ÉQUIPE100.006255656463636460465858595560611510
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
1Anthony Peters100.005265676760665861585855686615100
2Richard Bachman100.006573786367676967706955736915100
Rayé
MOYENNE D'ÉQUIPE100.00596973656467646464645571681510
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Lambert74726377735274CAN485100,000$


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'ÉquipePOS GP 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
1Jesse GrahamReign (Los)D4000-121201698130.00%47518.790005500001000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne4000-121201698130.00%47518.790005500001000.00%000000.0000000000
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Anthony PetersReign (Los)G261990-12-31No196 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Casey BaileyReign (Los)LW251991-10-27No195 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Cole BardreauReign (Los)LW231993-07-22No194 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Danick MartelReign (Los)C221994-12-12No161 Lbs5 ft8NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Daniel PribylReign (Los)C241992-12-18Yes192 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
James WisniewskiReign (Los)D321984-02-21Yes203 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Jesse GrahamReign (Los)D221994-05-13No176 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Jordan SchroederReign (Los)LW261990-09-29No176 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Kalle KossilaReign (Los)C231993-04-14No175 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Kerby RychelReign (Los)LW221994-10-07No205 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Manuel WiedererReign (Los)C201996-11-21Yes174 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Mark FayneReign (Los)D291987-05-14No215 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Mathieu JosephReign (Los)LW191997-02-09Yes172 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Maxim MaminReign (Los)C221995-01-13Yes198 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Nick SeelerReign (Los)D231993-06-02No200 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Richard BachmanReign (Los)G291987-07-24No183 Lbs5 ft10NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Scott GlennieReign (Los)RW251991-02-21Yes200 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Steve MosesReign (Los)RW271989-08-09No172 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Tucker PoolmanReign (Los)D231993-06-08Yes216 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Zach SillReign (Los)LW281988-05-23No202 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2024.50190 Lbs6 ft02.70380,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jesse Graham40122
230122
320122
4Jesse Graham10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jesse Graham60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jesse Graham60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jesse Graham60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jesse Graham60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jesse Graham
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jesse Graham
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Jesse Graham, Jesse Graham
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :


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
LigueDomicileVisiteur
# 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
1Barracuda1010000016-5000000000001010000016-500.000123003000163422190291189300.00%2150.00%0269527.37%2611822.03%156423.44%5031143304516
2Gulls1010000014-31010000014-30000000000000.000123003000143422190314210500.00%10100.00%0269527.37%2611822.03%156423.44%5031143304516
3Heat20200000113-121010000018-71010000005-500.000123003000453422190893514417114.29%50100.00%0269527.37%2611822.03%156423.44%5031143304516
Total40400000323-2020200000212-1020200000111-1000.0003690030007534221901495024601516.67%8187.50%0269527.37%2611822.03%156423.44%5031143304516
_Since Last GM Reset40400000323-2020200000212-1020200000111-1000.0003690030007534221901495024601516.67%8187.50%0269527.37%2611822.03%156423.44%5031143304516
_Vs Conference20200000210-81010000014-31010000016-500.00024600300030342219060151019800.00%3166.67%0269527.37%2611822.03%156423.44%5031143304516

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
40L43697514950246000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4040000323
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000212
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2020000111
Derniers 10 Matchs
WLOTWOTL SOWSOL
040000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1516.67%8187.50%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
34221903000
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
269527.37%2611822.03%156423.44%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
5031143304516


Derniers Match 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
3 - 2018-09-079Reign1Barracuda6LSommaire du Match
4 - 2018-09-0820Reign0Heat5LSommaire du Match
10 - 2018-09-1441Heat8Reign1LSommaire du Match
11 - 2018-09-1555Gulls4Reign1LSommaire du Match
15 - 2018-09-1968Admirals-Reign-
17 - 2018-09-2179Reign-Eagles-
18 - 2018-09-2293Reign-Eagles-
24 - 2018-09-28116Roadrunners-Reign-
31 - 2018-10-05151Stars-Reign-
32 - 2018-10-06164Gulls-Reign-
38 - 2018-10-12191Reign-Heat-
40 - 2018-10-14210Heat-Reign-
45 - 2018-10-19226Reign-Griffins-
46 - 2018-10-20242Reign-Admirals-
50 - 2018-10-24263Reign-Gulls-
52 - 2018-10-26275Condors-Reign-
54 - 2018-10-28296Roadrunners-Reign-
58 - 2018-11-01307Reign-Condors-
59 - 2018-11-02317Reign-Heat-
61 - 2018-11-04338Roadrunners-Reign-
66 - 2018-11-09359Reign-Roadrunners-
67 - 2018-11-10374Reign-Roadrunners-
74 - 2018-11-17412Eagles-Reign-
75 - 2018-11-18421Barracuda-Reign-
80 - 2018-11-23447Reign-Gulls-
81 - 2018-11-24455Gulls-Reign-
87 - 2018-11-30484Reign-Rampage-
88 - 2018-12-01496Reign-Stars-
90 - 2018-12-03510Condors-Reign-
95 - 2018-12-08542Barracuda-Reign-
96 - 2018-12-09551Gulls-Reign-
99 - 2018-12-12558Reign-Barracuda-
101 - 2018-12-14573Reign-Barracuda-
102 - 2018-12-15585Reign-Heat-
108 - 2018-12-21612Reign-Wild-
109 - 2018-12-22623Reign-Wild-
111 - 2018-12-24641Gulls-Reign-
115 - 2018-12-28667Eagles-Reign-
116 - 2018-12-29681Eagles-Reign-
122 - 2019-01-04695Reign-Gulls-
123 - 2019-01-05708Condors-Reign-
127 - 2019-01-09722Reign-Gulls-
129 - 2019-01-11733Gulls-Reign-
131 - 2019-01-13756Barracuda-Reign-
136 - 2019-01-18778Condors-Reign-
137 - 2019-01-19792Reign-Condors-
141 - 2019-01-23812Heat-Reign-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25827Rampage-Reign-
144 - 2019-01-26837Eagles-Reign-
150 - 2019-02-01866Barracuda-Reign-
151 - 2019-02-02878Wild-Reign-
152 - 2019-02-03887Wild-Reign-
157 - 2019-02-08907Reign-Roadrunners-
158 - 2019-02-09921Reign-Roadrunners-
161 - 2019-02-12933Reign-Eagles-
162 - 2019-02-13941Reign-Eagles-
165 - 2019-02-16966Reign-Condors-
171 - 2019-02-22993Condors-Reign-
172 - 2019-02-231006Reign-Gulls-
176 - 2019-02-271025Reign-Condors-
178 - 2019-03-011037Reign-Barracuda-
180 - 2019-03-031057Heat-Reign-
183 - 2019-03-061070Griffins-Reign-
185 - 2019-03-081082Reign-Gulls-
187 - 2019-03-101103Roadrunners-Reign-
190 - 2019-03-131113Reign-Heat-
192 - 2019-03-151126Heat-Reign-
193 - 2019-03-161140Reign-Condors-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
11,887$ 76,000$ 83,278$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 5,186$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 181 907$ 164,167$




LigueDomicileVisiteur
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
1340400000323-2020200000212-1020200000111-1003690030007534221901495024601516.67%8187.50%0269527.37%2611822.03%156423.44%5031143304516
Total Saison Régulière40400000323-2020200000212-1020200000111-1003690030007534221901495024601516.67%8187.50%0269527.37%2611822.03%156423.44%5031143304516