Bears

GP: 32 | W: 10 | L: 20 | OTL: 2 | P: 22
GF: 134 | GA: 189 | PP%: 37.84% | PK%: 50.00%
DG: Daniel Clement | Morale : 44 | Moyenne d'Équipe : 68
Prochain matchs #397 vs Condors
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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
1Brandon SutterX100.007937886481835263846165826378706858710
2Matt CalvertXX100.008069726470779563606563816378704658710
3Adam GaudetteX100.006138846471727064706463586165645458690
4Dominik SimonX100.007838866870738466537263686469655258680
5Tyler PitlickX100.008536916480766063536166726375696558680
6Warren FoegeleX100.008237876480739062566163656465666258660
7Julius HonkaX100.005938846368755662306955645667648258640
Rayé
MOYENNE D'ÉQUIPE100.00754285647476726358656370627167615868
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
Rod Brind'Amour84918485726777CAN482500,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam GaudetteBears (WSH)C201996-10-03No170 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Brandon SutterBears (WSH)C281989-02-14No190 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm976,000$0$0$NoLien
Dominik SimonBears (WSH)C231994-08-08No190 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Julius HonkaBears (WSH)D211995-12-03No180 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Matt CalvertBears (WSH)LW/RW271989-12-24No186 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm917,000$0$0$NoLien
Tyler PitlickBears (WSH)C251991-11-01No200 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm1,000,000$0$0$NoLien
Warren FoegeleBears (WSH)LW211996-04-01No198 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
723.57188 Lbs6 ft11.29841,857$



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
1Admirals20200000812-41010000047-31010000045-100.00081523002451572441822862508472319306116.67%10460.00%119042844.39%20551339.96%30569144.14%661396730297536248
2Blacknight21000001111011000000167-11100000053230.750111930002451572601822862508582214176350.00%7528.57%019042844.39%20551339.96%30569144.14%661396730297536248
3Bruins220000001156110000006241100000053241.000112132002451572501822862508341012198337.50%6183.33%119042844.39%20551339.96%30569144.14%661396730297536248
4Devils211000009721010000024-21100000073420.50091726002451572351822862508472618226350.00%9277.78%119042844.39%20551339.96%30569144.14%661396730297536248
5Gulls11000000413110000004130000000000021.00048120024515721918228625082558142150.00%40100.00%119042844.39%20551339.96%30569144.14%661396730297536248
6Marlies20200000718-110000000000020200000718-1100.00071421002451572481822862508873140267228.57%15846.67%019042844.39%20551339.96%30569144.14%661396730297536248
7Monsters412010001831-1320101000917-821100000914-540.500183452002451572112182286250814963525510330.00%261542.31%019042844.39%20551339.96%30569144.14%661396730297536248
8Moose1010000024-2000000000001010000024-200.000246002451572101822862508441020176116.67%10190.00%019042844.39%20551339.96%30569144.14%661396730297536248
9Penguins210001009811000010056-11100000042230.75091827002451572521822862508461614217114.29%8362.50%019042844.39%20551339.96%30569144.14%661396730297536248
10Phantoms606000001745-28505000001634-1810100000111-1000.000173249002451572124182286250820380628422731.82%312229.03%119042844.39%20551339.96%30569144.14%661396730297536248
11Senateurs20200000614-80000000000020200000614-800.00061218002451572351822862508451814287457.14%8625.00%019042844.39%20551339.96%30569144.14%661396730297536248
12Sound Tigers311010002015521100000141041000100065140.6672039590024515725718228625086618264812975.00%13653.85%219042844.39%20551339.96%30569144.14%661396730297536248
13Stars1010000056-1000000000001010000056-100.000591400245157228182286250840176144250.00%3166.67%019042844.39%20551339.96%30569144.14%661396730297536248
14Thunderbird1010000027-5000000000001010000027-500.00024600245157226182286250843198153133.33%4325.00%019042844.39%20551339.96%30569144.14%661396730297536248
Total3282002101134189-5516310011017194-2316510010006395-32220.34413425639000245157272418228625089523633134251114237.84%1547750.00%719042844.39%20551339.96%30569144.14%661396730297536248
16Wolves1010000056-11010000056-10000000000000.000510150024515722418228625081850155120.00%000.00%019042844.39%20551339.96%30569144.14%661396730297536248
_Since Last GM Reset3282002101134189-5516310011017194-2316510010006395-32220.34413425639000245157272418228625089523633134251114237.84%1547750.00%719042844.39%20551339.96%30569144.14%661396730297536248
_Vs Conference246150210099150-511228011005273-211247010004777-30170.354991912900024515725391822862508720281246318823340.24%1206645.00%519042844.39%20551339.96%30569144.14%661396730297536248
_Vs Division174100210073106-331118011004671-25632010002735-8130.382731402130024515723801822862508511203172230572340.35%874844.83%419042844.39%20551339.96%30569144.14%661396730297536248

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3222W113425639072495236331342500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
328202101134189
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1631011017194
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1651010006395
Derniers 10 Matchs
WLOTWOTL SOWSOL
171001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1114237.84%1547750.00%7
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
18228625082451572
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
19042844.39%20551339.96%30569144.14%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
661396730297536248


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
2 - 2019-10-058Bears1Phantoms11LSommaire du Match
4 - 2019-10-0717Phantoms10Bears3LSommaire du Match
6 - 2019-10-0932Phantoms4Bears3LSommaire du Match
8 - 2019-10-1142Bears4Penguins2WSommaire du Match
12 - 2019-10-1557Monsters11Bears2LSommaire du Match
14 - 2019-10-1775Sound Tigers8Bears5LSommaire du Match
15 - 2019-10-1878Bears3Monsters9LSommaire du Match
18 - 2019-10-2197Devils4Bears2LSommaire du Match
19 - 2019-10-22107Bears7Devils3WSommaire du Match
20 - 2019-10-23109Bears6Sound Tigers5WXSommaire du Match
23 - 2019-10-26129Sound Tigers2Bears9WSommaire du Match
25 - 2019-10-28143Bears5Bruins3WSommaire du Match
26 - 2019-10-29149Bears6Monsters5WSommaire du Match
30 - 2019-11-02163Penguins6Bears5LXSommaire du Match
33 - 2019-11-05178Bears4Marlies12LSommaire du Match
34 - 2019-11-06185Phantoms7Bears1LSommaire du Match
37 - 2019-11-09201Gulls1Bears4WSommaire du Match
39 - 2019-11-11211Bears3Senateurs6LSommaire du Match
41 - 2019-11-13223Bears4Admirals5LSommaire du Match
43 - 2019-11-15230Bruins2Bears6WSommaire du Match
45 - 2019-11-17237Bears2Thunderbird7LSommaire du Match
48 - 2019-11-20255Admirals7Bears4LSommaire du Match
50 - 2019-11-22267Bears2Moose4LSommaire du Match
52 - 2019-11-24278Wolves6Bears5LSommaire du Match
55 - 2019-11-27295Phantoms8Bears7LSommaire du Match
57 - 2019-11-29308Bears3Senateurs8LSommaire du Match
59 - 2019-12-01319Bears3Marlies6LSommaire du Match
61 - 2019-12-03326Blacknight7Bears6LXXSommaire du Match
63 - 2019-12-05337Bears5Stars6LSommaire du Match
65 - 2019-12-07350Monsters6Bears7WXSommaire du Match
69 - 2019-12-11371Phantoms5Bears2LSommaire du Match
71 - 2019-12-13381Bears5Blacknight3WSommaire du Match
74 - 2019-12-16397Condors-Bears-
78 - 2019-12-20415Senateurs-Bears-
81 - 2019-12-23435Bears-Rocket-
82 - 2019-12-24440Penguins-Bears-
84 - 2019-12-26457Reigh-Bears-
87 - 2019-12-29473Bears-Bruins-
89 - 2019-12-31482Heat-Bears-
91 - 2020-01-02493Bears-Icedogs-
93 - 2020-01-04501Bears-Sound Tigers-
95 - 2020-01-06509Crunch-Bears-
98 - 2020-01-09524Bears-Wolves-
100 - 2020-01-11533Senateurs-Bears-
105 - 2020-01-16557Devils-Bears-
107 - 2020-01-18573Bears-Sound Tigers-
109 - 2020-01-20579Penguins-Bears-
112 - 2020-01-23600Bears-Thunderbird-
113 - 2020-01-24604Icedogs-Bears-
115 - 2020-01-26610Bears-Penguins-
118 - 2020-01-29626Moose-Bears-
120 - 2020-01-31638Bears-Condors-
122 - 2020-02-02649Bears-Monsters-
123 - 2020-02-03655Bruins-Bears-
125 - 2020-02-05671Bears-Rocket-
127 - 2020-02-07679Sound Tigers-Bears-
130 - 2020-02-10698Devils-Bears-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
135 - 2020-02-15722Barracuda-Bears-
138 - 2020-02-18736Bears-Condors-
140 - 2020-02-20745Crunch-Bears-
145 - 2020-02-25768Bears-Phantoms-
146 - 2020-02-26772Thunderbird-Bears-
148 - 2020-02-28790Marlies-Bears-
152 - 2020-03-03804Bears-Heat-
154 - 2020-03-05814Bears-Gulls-
155 - 2020-03-06818Stars-Bears-
158 - 2020-03-09834Bears-Crunch-
160 - 2020-03-11843Rampages-Bears-
161 - 2020-03-12849Bears-Rampages-
165 - 2020-03-16867Thunderbird-Bears-
167 - 2020-03-18876Bears-Crunch-
169 - 2020-03-20890Monsters-Bears-
170 - 2020-03-21895Bears-Penguins-
171 - 2020-03-22903Bears-Barracuda-
173 - 2020-03-24910Bears-Reigh-
175 - 2020-03-26918Rocket-Bears-
176 - 2020-03-27926Bears-Phantoms-
179 - 2020-03-30941Rocket-Bears-
181 - 2020-04-01950Bears-Reigh-
182 - 2020-04-02952Bears-Devils-
187 - 2020-04-07967Marlies-Bears-
189 - 2020-04-09981Bears-Devils-



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
404,913$ 589,300$ 589,300$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 219,035$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 120 5,703$ 684,360$




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
33282002101134189-5516310011017194-2316510010006395-322213425639000245157272418228625089523633134251114237.84%1547750.00%719042844.39%20551339.96%30569144.14%661396730297536248
Total Saison Régulière3282002101134189-5516310011017194-2316510010006395-322213425639000245157272418228625089523633134251114237.84%1547750.00%719042844.39%20551339.96%30569144.14%661396730297536248