Bears

GP: 7 | W: 1 | L: 6 | OTL: 0 | P: 2
GF: 21 | GA: 55 | PP%: 23.81% | PK%: 34.21%
DG: Daniel Clement | Morale : 47 | Moyenne d'Équipe : 68
Prochain matchs #97 vs Devils
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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 SutterX100.007937886481835263846165826378706852710
2Matt CalvertXX100.008069726470779563606563816378704652710
3Dominik SimonX100.007838866870738466537263686469655252680
4Adam GaudetteX100.006138846471727064706463586165645452680
5Tyler PitlickX100.008536916480766063536166726375696552680
6Warren FoegeleX100.008237876480739062566163656465666252660
7Julius HonkaX100.005938846368755662306955645667648252640
Rayé
MOYENNE D'ÉQUIPE100.00754285647476726358656370627167615268
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
1Monsters20200000520-1510100000211-91010000039-600.000510150011010045376845080392821200.00%141028.57%0439843.88%5212043.33%6215141.06%139821616711953
2Penguins11000000422000000000001100000042221.000481200110100163768450148414100.00%30100.00%0439843.88%5212043.33%6215141.06%139821616711953
3Phantoms30300000725-1820200000614-810100000111-1000.00071320001101007137684509841344516318.75%171135.29%1439843.88%5212043.33%6215141.06%139821616711953
4Sound Tigers1010000058-31010000058-30000000000000.000510150011010018376845026881322100.00%440.00%1439843.88%5212043.33%6215141.06%139821616711953
Total716000002155-34404000001333-2031200000822-1420.14321416200110100150376845021896749321523.81%382534.21%2439843.88%5212043.33%6215141.06%139821616711953
_Since Last GM Reset716000002155-34404000001333-2031200000822-1420.14321416200110100150376845021896749321523.81%382534.21%2439843.88%5212043.33%6215141.06%139821616711953
_Vs Conference716000002155-34404000001333-2031200000822-1420.14321416200110100150376845021896749321523.81%382534.21%2439843.88%5212043.33%6215141.06%139821616711953
_Vs Division716000002155-34404000001333-2031200000822-1420.14321416200110100150376845021896749321523.81%382534.21%2439843.88%5212043.33%6215141.06%139821616711953

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
72L321416215021896749300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
71600002155
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
40400001333
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3120000822
Derniers 10 Matchs
WLOTWOTL SOWSOL
160000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
21523.81%382534.21%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
3768450110100
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
439843.88%5212043.33%6215141.06%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
139821616711953


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 - 2019-10-2197Devils-Bears-
19 - 2019-10-22107Bears-Devils-
20 - 2019-10-23109Bears-Sound Tigers-
23 - 2019-10-26129Sound Tigers-Bears-
25 - 2019-10-28143Bears-Bruins-
26 - 2019-10-29149Bears-Monsters-
30 - 2019-11-02163Penguins-Bears-
33 - 2019-11-05178Bears-Marlies-
34 - 2019-11-06185Phantoms-Bears-
37 - 2019-11-09201Gulls-Bears-
39 - 2019-11-11211Bears-Senateurs-
41 - 2019-11-13223Bears-Admirals-
43 - 2019-11-15230Bruins-Bears-
45 - 2019-11-17237Bears-Thunderbird-
48 - 2019-11-20255Admirals-Bears-
50 - 2019-11-22267Bears-Moose-
52 - 2019-11-24278Wolves-Bears-
55 - 2019-11-27295Phantoms-Bears-
57 - 2019-11-29308Bears-Senateurs-
59 - 2019-12-01319Bears-Marlies-
61 - 2019-12-03326Blacknight-Bears-
63 - 2019-12-05337Bears-Stars-
65 - 2019-12-07350Monsters-Bears-
69 - 2019-12-11371Phantoms-Bears-
71 - 2019-12-13381Bears-Blacknight-
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
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
85,545$ 589,300$ 589,300$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 46,275$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 176 5,703$ 1,003,728$




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
3716000002155-34404000001333-2031200000822-14221416200110100150376845021896749321523.81%382534.21%2439843.88%5212043.33%6215141.06%139821616711953
Total Saison Régulière716000002155-34404000001333-2031200000822-14221416200110100150376845021896749321523.81%382534.21%2439843.88%5212043.33%6215141.06%139821616711953