Bears
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jean-Manuel Estrela | Morale : 1 | Moyenne d'Équipe : 59
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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 SPÂgeContratSalaire
1William Karlsson (R) (A)X100.006733807475717574757571657147445333700221800,000$
2Dany RoussinX100.007237747074716371737370597173661831690301450,000$
3Brayden Point (R) (C)X100.007337775783667567676787546842417957670191500,000$
4Mike Hoffman (A)X100.007026707271676669716770607058573019660261950,000$
5Trevor LewisX100.006631727266716067706970607159571927660281850,000$
6Jamie McGinnX100.007932656272637164666466647049492636640272425,000$
7Angelo EspositoX100.006239696364636868766967516848482434630263550,000$
8Zach Stepan (R)X100.006017796763756962616357636643434245620211475,000$
9Artturi Lehkonen (R)X100.005333707761605869655761516742425842600204500,000$
10Colton SceviourX100.006236685964605763605366486448482731580262500,000$
11Vincent Dunn (R)X100.006135705565506960626150545142425645560202360,000$
12Austin Poganski (R)X100.005940666562496855515361525241415545560191500,000$
13Mikko Vainonen (R)X100.005729766463596164496055685044433927610212280,000$
14Gianluca Curcuruto (R)X100.006534686455616057475848614943434437590211300,000$
15Emil Johansson (R)X100.005143675757625856435955564341415635560191500,000$
16Jesper Pettersson (R)X100.005340645759605854596161425245434430550201500,000$
17Ryan Graves (R)X100.005029685757576156315837573842424824540202450,000$
18Mackenze Stewart (R)X100.004638635454605552565661384841415445520191500,000$
Rayé
1Brock McGinn (R)X100.007646737679687874677472686846445629700213950,000$
2Jakob Lilja (R)X100.005835696367605368625752546150493122580222500,000$
3Nikolay Prokhorkin (R)X100.005034755750585958737560475545443925580221375,000$
4Colby Cave (R)X100.004624685664505555475470415643433925540212360,000$
5Artur Gavrus (R)X100.005621554353524345545763445143433625510211300,000$
6Jarrod Maidens (R)X100.005627674956575554515249305943433825500211300,000$
MOYENNE D'ÉQUIPE100.00603370626461626260626254594746423360
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
1Niklas Treutle100.00616270686866656469676557543340660
2Sergei Kostenko100.00745857597057605556607247463239600
Rayé
1Hugo Fagerblom100.00514738474641395038484141415719430
MOYENNE D'ÉQUIPE100.0062565558615555565458594847413356
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lanne MacDonald75586370346237USA693325,000$


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 Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Angelo EspositoBears (Was)C261989-01-01No190 Lbs6 ft0NoNoNo3Pro & Farm550,000$0$0$No550,000$550,000$
Artturi LehkonenBears (Was)LW201995-01-01Yes185 Lbs5 ft11NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$
Artur GavrusBears (Was)C211994-01-01Yes175 Lbs5 ft9NoNoNo1Pro & Farm300,000$0$0$No
Austin PoganskiBears (Was)RW191996-01-01Yes198 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Brayden PointBears (Was)C191996-01-01Yes166 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Brock McGinnBears (Was)LW211994-01-01Yes174 Lbs5 ft11NoNoNo3Pro & Farm950,000$0$0$No1,100,000$1,500,000$
Colby CaveBears (Was)C211994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm360,000$0$0$No360,000$
Colton SceviourBears (Was)RW261989-01-01No201 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dany RoussinBears (Was)LW301985-01-01No190 Lbs6 ft2NoNoNo1Farm Only450,000$0$0$No
Emil JohanssonBears (Was)D191996-01-01Yes189 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Gianluca CurcurutoBears (Was)D211994-01-01Yes195 Lbs6 ft0NoNoNo1Farm Only300,000$0$0$No
Hugo FagerblomBears (Was)G191996-01-01No202 Lbs6 ft6NoNoNo1Pro & Farm500,000$0$0$No
Jakob LiljaBears (Was)LW221993-01-01Yes196 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jamie McGinnBears (Was)LW271988-01-01No205 Lbs6 ft1NoNoNo2Pro & Farm425,000$0$0$No425,000$
Jarrod MaidensBears (Was)C211994-01-01Yes178 Lbs6 ft0NoNoNo1Pro & Farm300,000$0$0$No
Jesper PetterssonBears (Was)D201995-01-01Yes189 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$No
Mackenze StewartBears (Was)D191996-01-01Yes230 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Mike HoffmanBears (Was)LW261989-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm950,000$0$0$No
Mikko VainonenBears (Was)D211994-01-01Yes222 Lbs6 ft2NoNoNo2Pro & Farm280,000$0$0$No300,000$
Niklas TreutleBears (Was)G251990-01-01No185 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Nikolay ProkhorkinBears (Was)LW221993-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm375,000$0$0$No
Ryan GravesBears (Was)D201995-01-01Yes225 Lbs6 ft4NoNoNo2Pro & Farm450,000$0$0$No450,000$
Sergei KostenkoBears (Was)G231992-01-01No187 Lbs5 ft11NoNoNo1Pro & Farm300,000$0$0$No
Trevor LewisBears (Was)C281987-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm850,000$0$0$No
Vincent DunnBears (Was)C201995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm360,000$0$0$No360,000$
William KarlssonBears (Was)C221993-01-01Yes188 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$No
Zach StepanBears (Was)C211994-01-01Yes165 Lbs5 ft11NoNoNo1Pro & Farm475,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2722.19192 Lbs6 ft01.59508,333$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dany RoussinBrayden PointColton Sceviour40113
2Mike HoffmanWilliam KarlssonAustin Poganski30113
3Jamie McGinnTrevor LewisZach Stepan20122
4Artturi LehkonenAngelo EspositoVincent Dunn10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mikko VainonenGianluca Curcuruto40122
2Emil JohanssonRyan Graves40122
3Jesper PetterssonMackenze Stewart10140
4Mikko VainonenRyan Graves10131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dany RoussinBrayden PointColton Sceviour60014
2Mike HoffmanWilliam KarlssonAngelo Esposito40113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mikko VainonenTrevor Lewis60113
2Gianluca CurcurutoJamie McGinn40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1William KarlssonJamie McGinn60140
2Zach StepanMike Hoffman40230
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mikko VainonenGianluca Curcuruto60140
2Ryan GravesEmil Johansson40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1William Karlsson60140Mikko VainonenGianluca Curcuruto60140
2Zach Stepan40140Ryan GravesEmil Johansson40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brayden PointDany Roussin60014
2William KarlssonMike Hoffman40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mikko VainonenGianluca Curcuruto60122
2Emil JohanssonRyan Graves40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
William KarlssonBrayden PointMike HoffmanAngelo EspositoJesper Pettersson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jamie McGinnWilliam KarlssonZach StepanMikko VainonenGianluca Curcuruto
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brayden Point, William Karlsson, Mike HoffmanBrayden Point, William KarlssonJamie McGinn
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mikko Vainonen, Gianluca Curcuruto, Ryan GravesJesper PetterssonMikko Vainonen, Gianluca Curcuruto
Tirs de Pénalité
Brayden Point, William Karlsson, Mike Hoffman, Dany Roussin, Angelo Esposito
Gardien
#1 : Niklas Treutle, #2 : Sergei Kostenko


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,372,500$ 1,329,500$ 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$ 0 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