Bears

GP: 8 | W: 4 | L: 4 | OTL: 0 | P: 8
GF: 24 | GA: 24 | PP%: 16.33% | PK%: 80.00%
DG: Mathieu Girard | Morale : 50 | Moyenne d'Équipe : 62
Prochain matchs #119 vs Gulls
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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
1Jason DickinsonXX100.008243806580748064766761736267667752660
2Paul ThompsonX100.006343726277949361645960586179815452630
3Kyle CliffordX100.008578656383678562546164566375706352630
4Brett SutterX100.006138856074939059645858575980725352620
5Anton BlidhX100.007338865675867355535654655267645552600
6Dennis YanX100.006239825977908557545355565263626352590
7Reid DukeX100.005938845673857956585553545065636252580
8Rich CluneX100.006338845673666454535152535774714852560
9Kyle WoodX100.008638855898939156306052634665636252660
10Sami NikuX100.005637896473777163306858614865635652620
11Michael KaplaX100.006136925674939054305852534669656052610
12Trevor MurphyX100.005140785866928957305853564867646152600
Rayé
MOYENNE D'ÉQUIPE100.00674282597784835850595659547067605261
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
1Vitek Vanecek100.00777876747675777675777665695347720
Rayé
MOYENNE D'ÉQUIPE100.0077787674767577767577766569534772
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jay Leach73676657605786USA394100,000$


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
1Anton BlidhBears (Was)LW85611340152136112513.89%419324.153141139000060041.67%1200001.1400000100
2Sami NikuBears (Was)D83811316014161541120.00%1918222.81011834000015000.00%000001.2100000002
3Jason DickinsonBears (Was)C/LW8549-120242844122211.36%518923.74123733000060060.61%13200000.9500000020
4Brett SutterBears (Was)C8459120143240122010.00%016120.23033840000000052.91%18900001.1100000011
5Kyle CliffordBears (Was)LW8459180231433122412.12%416921.152137300000192044.64%5600001.0600000201
6Trevor MurphyBears (Was)D8178-540134189105.56%1116921.251561140000017100.00%000000.9400000000
7Michael KaplaBears (Was)D8112-1120101142225.00%1112015.030000000008000.00%000000.3300000000
8Reid DukeBears (Was)C80001000121130.00%0415.2300000000000052.83%5300000.0000000000
Stats d'équipe Total ou en Moyenne6423365924801131381916311712.04%54122819.2071320522200000733053.85%44200000.9600000334
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
1Vitek VanecekBears (Was)84400.8882.8644002211880200.000080110
Stats d'équipe Total ou en Moyenne84400.8882.8644002211880200.000080110


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
Anton BlidhBears (Was)LW241995-03-14No201 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Brett SutterBears (Was)C321987-06-02No200 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm300,000$0$0$NoLien
Dennis YanBears (Was)LW221997-04-14No197 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Jason DickinsonBears (Was)C/LW241995-07-04No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien
Kyle CliffordBears (Was)LW281991-01-13No211 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Kyle WoodBears (Was)D231996-05-04No235 Lbs6 ft7NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Michael KaplaBears (Was)D241994-09-19No200 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Paul ThompsonBears (Was)RW301988-11-30No200 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm500,000$0$0$NoLien
Reid DukeBears (Was)C231996-01-28No191 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Rich CluneBears (Was)LW321987-04-25No207 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm500,000$0$0$NoLien
Sami NikuBears (Was)D221996-10-10No176 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Trevor MurphyBears (Was)D231995-07-17No180 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Vitek VanecekBears (Was)G231996-01-09No181 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1325.38198 Lbs6 ft12.23423,077$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle CliffordJason Dickinson40122
2Brett SutterAnton Blidh30122
3Anton BlidhReid DukeKyle Clifford20122
4Jason Dickinson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sami Niku40122
2Trevor Murphy30122
3Michael Kapla20122
4Sami Niku10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle CliffordJason Dickinson60122
2Brett SutterAnton Blidh40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sami Niku60122
2Trevor Murphy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Kyle Clifford60122
2Jason DickinsonAnton Blidh40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sami Niku60122
2Trevor Murphy40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Kyle Clifford60122Sami Niku60122
240122Trevor Murphy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Kyle Clifford60122
2Jason DickinsonAnton Blidh40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sami Niku60122
2Trevor Murphy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle CliffordJason DickinsonSami Niku
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle CliffordJason DickinsonSami Niku
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Dennis Yan, , Dennis Yan
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Michael Kapla, Trevor MurphyMichael Kapla, Trevor Murphy
Tirs de Pénalité
Kyle Clifford, , Jason Dickinson, Anton Blidh,
Gardien
#1 : Vitek Vanecek, #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
1Americans11000000202000000000001100000020221.0002460112480208855640271410144125.00%50100.00%011024844.35%10424143.15%5111942.86%187134200579145
2Bruins1010000067-11010000067-10000000000000.0006915001248026885564029510197114.29%4250.00%011024844.35%10424143.15%5111942.86%187134200579145
3Crunch11000000422000000000001100000042221.00046100012480198855640271212165240.00%5180.00%011024844.35%10424143.15%5111942.86%187134200579145
4Gulls11000000716110000007160000000000021.0007132000124805288556402386206233.33%20100.00%011024844.35%10424143.15%5111942.86%187134200579145
5Penguins2110000047-3110000003031010000017-620.50048120112480518855640571523318211.11%110.00%011024844.35%10424143.15%5111942.86%187134200579145
6Senators2020000017-61010000004-41010000013-200.000123001248039885564049131823900.00%8187.50%011024844.35%10424143.15%5111942.86%187134200579145
Total8440000024240422000001612442200000812-480.50024426602124802078855640212675812549816.33%25580.00%011024844.35%10424143.15%5111942.86%187134200579145
_Since Last GM Reset8440000024240422000001612442200000812-480.50024426602124802078855640212675812549816.33%25580.00%011024844.35%10424143.15%5111942.86%187134200579145
_Vs Conference734000002224-2422000001612431200000612-660.42922386001124801878855640185534811145715.56%20575.00%011024844.35%10424143.15%5111942.86%187134200579145
_Vs Division2330000047-3121000003031120000017-661.50048120112480518855640571523318211.11%110.00%011024844.35%10424143.15%5111942.86%187134200579145

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
88L2244266207212675812502
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
84400002424
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001612
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4220000812
Derniers 10 Matchs
WLOTWOTL SOWSOL
440000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
49816.33%25580.00%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
885564012480
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
11024844.35%10424143.15%5111942.86%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
187134200579145


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
1 - 2019-09-021Bears1Penguins7LSommaire du Match
3 - 2019-09-0420Penguins0Bears3WSommaire du Match
4 - 2019-09-0532Bears4Crunch2WSommaire du Match
7 - 2019-09-0853Gulls1Bears7WSommaire du Match
8 - 2019-09-0964Bears1Senators3LSommaire du Match
10 - 2019-09-1175Bears2Americans0WSommaire du Match
11 - 2019-09-1291Bruins7Bears6LSommaire du Match
14 - 2019-09-15113Senators4Bears0LSommaire du Match
15 - 2019-09-16119Bears-Gulls-
18 - 2019-09-19141Crunch-Bears-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 55,000$ 24,940$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 7 0$ 0$




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