Bears

GP: 33 | W: 5 | L: 25 | OTL: 3 | P: 13
GF: 100 | GA: 183 | PP%: 36.29% | PK%: 47.62%
DG: Louis Simard | Morale : 37 | Moyenne d'Équipe : 63
Prochain matchs #391 vs Monsters
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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
Rayé
1Julius HonkaX100.005842807965697276304652606452518332630
MOYENNE D'ÉQUIPE100.00584280796569727630465260645251833263
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
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakin83626681767073usa501400,000$


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
1Julius HonkaBears (WSH)D13122032-811531313557618.89%1735327.171011213132000431100.00%01323011.8100100300
Stats d'équipe Total ou en Moyenne13122032-811531313557618.89%1735327.171011213132000431100.00%01323011.8100100300
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
Julius HonkaBears (WSH)D211995-12-03No186 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm863,333$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
121.00186 Lbs5 ft111.00863,333$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
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 :


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
1Barracuda2010010059-41000010023-11010000036-310.2505914001042480372162993010491433228337.50%10550.00%020651340.16%20353737.80%28869641.38%681409754308548249
2Condors2020000017-61010000016-51010000001-100.00012300104248047216299301055151223700.00%6183.33%020651340.16%20353737.80%28869641.38%681409754308548249
3Crunch312000001016-620200000613-71100000043120.333101929001042480572162993010692328339444.44%14750.00%020651340.16%20353737.80%28869641.38%681409754308548249
4Devils20200000516-111010000028-61010000038-500.0005914001042480502162993010952622255240.00%11554.55%120651340.16%20353737.80%28869641.38%681409754308548249
5Heat1010000023-11010000023-10000000000000.00024600104248040216299301011628500.00%110.00%020651340.16%20353737.80%28869641.38%681409754308548249
6Marlies20100100312-91010000008-81000010034-110.250369001042480622162993010602915298112.50%5340.00%020651340.16%20353737.80%28869641.38%681409754308548249
7Monsters32100000171251100000011562110000067-140.6671731480010424808921629930106128243813969.23%12283.33%120651340.16%20353737.80%28869641.38%681409754308548249
8Penguins30300000717-102020000049-51010000038-500.000713200010424807321629930109536402810330.00%15566.67%020651340.16%20353737.80%28869641.38%681409754308548249
9Phantoms30300000818-1020200000510-51010000038-500.000814220010424807621629930101115121335360.00%141214.29%020651340.16%20353737.80%28869641.38%681409754308548249
10Rampages2020000037-41010000012-11010000025-300.000369001042480532162993010661712189111.11%6350.00%020651340.16%20353737.80%28869641.38%681409754308548249
11Reigh1010000045-1000000000001010000045-100.000471100104248017216299301024112197114.29%6266.67%020651340.16%20353737.80%28869641.38%681409754308548249
12Rocket11000000541110000005410000000000021.0005101500104248019216299301026612103266.67%6266.67%020651340.16%20353737.80%28869641.38%681409754308548249
13Senateurs1010000037-4000000000001010000037-400.00036900104248023216299301025166154250.00%330.00%020651340.16%20353737.80%28869641.38%681409754308548249
14Sound Tigers312000001520-51100000083520200000717-1020.3331530450010424809121629930109256352618633.33%151126.67%020651340.16%20353737.80%28869641.38%681409754308548249
15Stars20200000216-1410100000110-91010000016-500.000246001042480292162993010881629293133.33%12925.00%020651340.16%20353737.80%28869641.38%681409754308548249
16Thunderbird201001001014-400000000000201001001014-410.2501020300010424805321629930106520221910770.00%11645.45%020651340.16%20353737.80%28869641.38%681409754308548249
Total3352500300100183-8316312001004884-3617213002005299-47130.19710019029000104248081621629930109923603253751244536.29%1477747.62%220651340.16%20353737.80%28869641.38%681409754308548249
_Since Last GM Reset3352500300100183-8316312001004884-3617213002005299-47130.19710019029000104248081621629930109923603253751244536.29%1477747.62%220651340.16%20353737.80%28869641.38%681409754308548249
_Vs Conference235160020083136-531138000004160-191228002004276-34120.261831582410010424805932162993010699291225256853945.88%1065647.17%220651340.16%20353737.80%28869641.38%681409754308548249
_Vs Division14311000005283-31725000003035-5716000002248-2660.21452971490010424803792162993010454197142150512345.10%673547.76%220651340.16%20353737.80%28869641.38%681409754308548249

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3313L410019029081699236032537500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
335250300100183
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1631201004884
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1721302005299
Derniers 10 Matchs
WLOTWOTL SOWSOL
280000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1244536.29%1477747.62%2
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
21629930101042480
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
20651340.16%20353737.80%28869641.38%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
681409754308548249


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 - 2018-10-1112Sound Tigers3Bears8WSommaire du Match
4 - 2018-10-1214Bears2Monsters4LSommaire du Match
11 - 2018-10-1936Phantoms6Bears4LSommaire du Match
14 - 2018-10-2247Bears4Monsters3WSommaire du Match
18 - 2018-10-2659Crunch7Bears5LSommaire du Match
20 - 2018-10-2873Bears4Sound Tigers8LSommaire du Match
21 - 2018-10-2977Bears3Devils8LSommaire du Match
24 - 2018-11-0187Penguins4Bears2LSommaire du Match
27 - 2018-11-04106Marlies8Bears0LSommaire du Match
29 - 2018-11-06118Bears3Phantoms8LSommaire du Match
31 - 2018-11-08129Monsters5Bears11WSommaire du Match
33 - 2018-11-10137Bears3Penguins8LSommaire du Match
35 - 2018-11-12147Bears6Thunderbird7LXSommaire du Match
37 - 2018-11-14159Devils8Bears2LSommaire du Match
42 - 2018-11-19180Barracuda3Bears2LXSommaire du Match
47 - 2018-11-24193Bears3Sound Tigers9LSommaire du Match
49 - 2018-11-26203Stars10Bears1LSommaire du Match
51 - 2018-11-28213Bears2Rampages5LSommaire du Match
54 - 2018-12-01223Condors6Bears1LSommaire du Match
59 - 2018-12-06239Bears0Condors1LSommaire du Match
61 - 2018-12-08249Bears1Stars6LSommaire du Match
63 - 2018-12-10256Crunch6Bears1LSommaire du Match
65 - 2018-12-12260Bears3Marlies4LXSommaire du Match
68 - 2018-12-15275Phantoms4Bears1LSommaire du Match
73 - 2018-12-20299Heat3Bears2LSommaire du Match
75 - 2018-12-22308Bears3Barracuda6LSommaire du Match
77 - 2018-12-24315Bears3Senateurs7LSommaire du Match
79 - 2018-12-26326Rocket4Bears5WSommaire du Match
81 - 2018-12-28335Bears4Crunch3WSommaire du Match
84 - 2018-12-31350Penguins5Bears2LSommaire du Match
87 - 2019-01-03362Bears4Thunderbird7LSommaire du Match
89 - 2019-01-05372Bears4Reigh5LSommaire du Match
90 - 2019-01-06378Rampages2Bears1LSommaire du Match
93 - 2019-01-09391Bears-Monsters-
95 - 2019-01-11399Reigh-Bears-
97 - 2019-01-13409Bears-Crunch-
99 - 2019-01-15416Bears-Admirals-
101 - 2019-01-17426Phantoms-Bears-
106 - 2019-01-22444Bears-Moose-
108 - 2019-01-24453Admirals-Bears-
110 - 2019-01-26462Bears-Marlies-
112 - 2019-01-28474Devils-Bears-
119 - 2019-02-04499Crunch-Bears-
121 - 2019-02-06508Bears-Sound Tigers-
124 - 2019-02-09519Sound Tigers-Bears-
126 - 2019-02-11523Bears-Wolves-
129 - 2019-02-14536Bears-Gulls-
131 - 2019-02-16547Bears-Icedogs-
132 - 2019-02-17551Senateurs-Bears-
136 - 2019-02-21571Devils-Bears-
141 - 2019-02-26592Wolves-Bears-
145 - 2019-03-02609Bears-Senateurs-
147 - 2019-03-04617Senateurs-Bears-
149 - 2019-03-06628Bears-Heat-
151 - 2019-03-08642Icedogs-Bears-
153 - 2019-03-10652Bears-Monsters-
155 - 2019-03-12664Monsters-Bears-
156 - 2019-03-13668Bears-Blacknight-
162 - 2019-03-19689Barracuda-Bears-
164 - 2019-03-21704Bears-Reigh-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24715Moose-Bears-
171 - 2019-03-28734Thunderbird-Bears-
178 - 2019-04-04753Gulls-Bears-
181 - 2019-04-07765Bears-Devils-
184 - 2019-04-10777Bruins-Bears-
187 - 2019-04-13791Bears-Devils-
189 - 2019-04-15800Rocket-Bears-
195 - 2019-04-21822Penguins-Bears-
201 - 2019-04-27844Monsters-Bears-
206 - 2019-05-02867Bruins-Bears-
209 - 2019-05-05881Bears-Penguins-
212 - 2019-05-08890Marlies-Bears-
214 - 2019-05-10900Bears-Penguins-
217 - 2019-05-13913Sound Tigers-Bears-
219 - 2019-05-15923Bears-Bruins-
222 - 2019-05-18938Blacknight-Bears-
224 - 2019-05-20944Bears-Rocket-
229 - 2019-05-25958Bears-Phantoms-
231 - 2019-05-27962Thunderbird-Bears-
232 - 2019-05-28964Bears-Rocket-
234 - 2019-05-30977Bears-Bruins-
236 - 2019-06-01984Bears-Phantoms-



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
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
184,316$ 86,333$ 86,333$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 32,396$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 147 2,052$ 301,644$




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
23352500300100183-8316312001004884-3617213002005299-471310019029000104248081621629930109923603253751244536.29%1477747.62%220651340.16%20353737.80%28869641.38%681409754308548249
Total Saison Régulière3352500300100183-8316312001004884-3617213002005299-471310019029000104248081621629930109923603253751244536.29%1477747.62%220651340.16%20353737.80%28869641.38%681409754308548249