Connexion

Bears
GP: 10 | W: 4 | L: 4 | OTL: 2 | P: 10
GF: 39 | GA: 43 | PP%: 17.50% | PK%: 86.67%
DG: Matthew Lacelle | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #168 vs Wolves
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Centre de jeu
Monsters
7-2-1, 15pts
6
FINAL
5 Bears
4-4-2, 10pts
Team Stats
W2StreakL2
3-2-0Home Record3-1-1
4-0-1Away Record1-3-1
7-2-1Last 10 Games4-4-2
4.40Buts par match 3.90
3.10Buts contre par match 4.30
18.75%Pourcentage en avantage numérique17.50%
91.30%Pourcentage en désavantage numérique86.67%
Bears
4-4-2, 10pts
2
FINAL
5 Monsters
7-2-1, 15pts
Team Stats
L2StreakW2
3-1-1Home Record3-2-0
1-3-1Away Record4-0-1
4-4-2Last 10 Games7-2-1
3.90Buts par match 4.40
4.30Buts contre par match 3.10
17.50%Pourcentage en avantage numérique18.75%
86.67%Pourcentage en désavantage numérique91.30%
Wolves
3-5-2, 8pts
2022-08-03
Bears
4-4-2, 10pts
Statistiques d’équipe
W1SéquenceL2
3-2-0Fiche domicile3-1-1
0-3-2Fiche visiteur1-3-1
3-5-210 derniers matchs4-4-2
3.80Buts par match 3.90
4.60Buts contre par match 4.30
30.00%Pourcentage en avantage numérique17.50%
81.08%Pourcentage en désavantage numérique86.67%
Comets
6-3-1, 13pts
2022-08-05
Bears
4-4-2, 10pts
Statistiques d’équipe
SOL1SéquenceL2
4-1-0Fiche domicile3-1-1
2-2-1Fiche visiteur1-3-1
6-3-110 derniers matchs4-4-2
4.50Buts par match 3.90
4.20Buts contre par match 4.30
25.71%Pourcentage en avantage numérique17.50%
70.59%Pourcentage en désavantage numérique86.67%
Bears
4-4-2, 10pts
2022-08-06
Comets
6-3-1, 13pts
Statistiques d’équipe
L2SéquenceSOL1
3-1-1Fiche domicile4-1-0
1-3-1Fiche visiteur2-2-1
4-4-210 derniers matchs6-3-1
3.90Buts par match 4.50
4.30Buts contre par match 4.20
17.50%Pourcentage en avantage numérique25.71%
86.67%Pourcentage en désavantage numérique70.59%
Meneurs d'équipe
Victoires
Kyle Keyser
1
Pourcentage d’arrêts
Emil Larmi
0.951

Statistiques d’équipe
Buts pour
39
3.90 GFG
Tirs pour
395
39.50 Avg
Pourcentage en avantage numérique
17.5%
7 GF
Début de zone offensive
41.1%
Buts contre
43
4.30 GAA
Tirs contre
377
37.70 Avg
Pourcentage en désavantage numérique
86.7%
6 GA
Début de la zone défensive
40.4%
Information d’équipe

Directeur généralMatthew Lacelle
EntraîneurPeter Bondra
DivisionMETROPOLITAINE
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure21
Limite contact 45 / 55
Espoirs5


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
1Jacob de la Rose0XX100.00873592648685786681656173627269050730271700,000$
2Mathias Brome0X100.00633690687283776657646762697368050700281950,000$
3Beck Malenstyn0X100.00864087618377885953586063576466050690243887,000$
4Michael Sgarbossa0X100.00633692657084716577676362657072050690301750,000$
5Ross Johnston0X100.009085686196757459556357586269710506902811,002,000$
6Clark Bishop0X100.00734083647775726378625664636668050680262850,000$
7Dmitry Sokolov0X100.00683593597775726356586257636564050660242850,000$
8Robert Lantosi18X100.00603382596977826158606257637166050660263727,000$
9Mike Vecchione0X100.005936916269807961635960616469710506602911,008,000$
10J.C. Beaudin0X100.00683978587774755766595657546567050650252800,000$
11Cole Reinhardt0X100.00723873567478855760585956586264050650222813,333$
12Patrick Newell0XXX100.00583592586079845654575853576965050630261962,000$
13Dennis Cholowski0X100.006438926980827367307159615264660507002421,125,000$
14Martin Marincin0X100.008170836193716862306458684977700507003011,119,000$
15Christian Wolanin0X100.00663986657880736130675862516769050680271925,000$
16Julius Honka0X100.00593887616873786330605359467166050650261700,000$
17Dmitry Osipov0X100.00837459519265745130525459516668050640253750,000$
18Joe Hicketts0X100.00553782596477885830625654486668050640261986,000$
Rayé
1Marc Del Gaizo (R)0X100.00593781606972835730565453456365050630221700,000$
2Layton Ahac0X100.00693891537865635230555153456163050610212925,000$
3Michael Callahan (R)0X100.00713885538065635230535455456365050610231700,000$
MOYENNE D’ÉQUIPE100.0069438460777676604960585956676705066
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 SPÂgeContratSalaire
1Kyle Keyser100.00727473767170727170727163690507302321,350,000$
2Emil Larmi100.0062788071616062616062616973050670252840,000$
Rayé
1Colten Ellis100.0064666774636264636264636267050660213925,000$
MOYENNE D’ÉQUIPE100.006673737465646665646665657005069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Bondra75757575757575Urk5450$


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
1Michael SgarbossaBears (WAS)C105510-20002433152015.15%017017.021341232000000047.88%23600001.1700000001
2Christian WolaninBears (WAS)D104597120211426101915.38%1221921.941121532000136100.00%000000.8200000100
3Jacob de la RoseBears (WAS)C/LW10448-2402941525327.69%621221.260118330000381060.06%33800000.7501000100
4Julius HonkaBears (WAS)D101787406713797.69%2221721.77000932000036010.00%000000.7400000000
5Ross JohnstonBears (WAS)LW10358-28047162562012.00%320520.511128320000320050.00%4800000.7801000120
6Mathias BromeBears (WAS)LW10358-140816528285.77%221121.1811215330002360052.17%2300000.7601000000
7Clark BishopBears (WAS)C103582409182161014.29%211011.0300000000001048.48%16500001.4500000120
8Martin MarincinBears (WAS)D10347-101804410225913.64%1323723.732131232000030000.00%000000.5900000001
9Beck MalenstynBears (WAS)LW103473001442561212.00%514914.91000000000371033.33%1500000.9401000001
10Dmitry OsipovBears (WAS)D10347-1220325121325.00%1014814.8300000000014000.00%000000.9400000010
11Robert LantosiBears (WAS)RW101562002619195.26%210810.8600000000000036.36%1100001.1000000001
12Mike VecchioneBears (WAS)RW10066-200112266190.00%216916.95011732000000046.15%1300000.7100000000
13Dmitry SokolovBears (WAS)RW102350201061371115.38%017017.07011433000000028.57%1400000.5900000000
14Dennis CholowskiBears (WAS)D10134-920420174225.88%1724724.751231332000038000.00%000000.3200000000
15J.C. BeaudinBears (WAS)C10213-32069971822.22%0737.3800000000010052.63%9500000.8100000000
16Cole ReinhardtBears (WAS)LW10123-3608813297.69%2787.8900000000170046.15%1300000.7600000000
17Patrick NewellBears (WAS)C/LW/RW10022-3000311270.00%0717.1500000000000020.00%500000.5600000000
18Joe HickettsBears (WAS)D10011-200246220.00%1413813.810000000001000.00%000000.1400000000
Statistiques d’équipe totales ou en moyenne1803971110-198802432233951002599.87%112294016.337121910332600043114152.05%97600000.7504000454
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
1Kyle KeyserBears (WAS)61220.8624.8332300261890000.750464000
2Emil LarmiBears (WAS)10100.9512.7943202410000.000006000
Statistiques d’équipe totales ou en moyenne71320.8784.5836720282300000.7504610000


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 restantSalaire moyenPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Beck MalenstynBears (WAS)LW241998-02-04No200 Lbs6 ft3NoNoNo3Pro & Farm887,000$887,000$650,000$0$0$No887,000$887,000$Lien
Christian WolaninBears (WAS)D271995-03-17No190 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$650,000$0$0$NoLien
Clark BishopBears (WAS)C261996-03-29No197 Lbs6 ft1NoNoNo2Pro & Farm850,000$850,000$850,000$0$0$No850,000$Lien
Cole ReinhardtBears (WAS)LW222000-02-01No200 Lbs6 ft0NoNoNo2Pro & Farm813,333$813,333$813,333$0$0$No813,333$Lien
Colten EllisBears (WAS)G212000-10-05No185 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$700,000$0$0$No925,000$925,000$Lien
Dennis CholowskiBears (WAS)D241998-02-15No197 Lbs6 ft2NoNoNo2Pro & Farm1,125,000$1,125,000$0$0$No1,125,000$Lien
Dmitry OsipovBears (WAS)D251996-10-04No230 Lbs6 ft4NoNoNo3Pro & Farm750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Dmitry SokolovBears (WAS)RW241998-04-14No221 Lbs5 ft11NoNoNo2Pro & Farm850,000$850,000$850,000$0$0$No850,000$Lien
Emil LarmiBears (WAS)G251996-09-28No185 Lbs6 ft0NoNoNo2Pro & Farm840,000$840,000$792,500$0$0$No840,000$Lien
J.C. BeaudinBears (WAS)C251997-03-25No196 Lbs6 ft1NoNoNo2Pro & Farm800,000$800,000$800,000$0$0$No800,000$Lien
Jacob de la RoseBears (WAS)C/LW271995-05-20No215 Lbs6 ft3NoNoNo1Pro & Farm700,000$700,000$650,000$0$0$NoLien
Joe HickettsBears (WAS)D261996-05-04No180 Lbs5 ft8NoNoNo1Pro & Farm986,000$986,000$650,000$0$0$NoLien
Julius HonkaBears (WAS)D261995-12-03No180 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$700,000$0$0$NoLien
Kyle KeyserBears (WAS)G231999-03-08No178 Lbs6 ft2NoNoNo2Pro & Farm1,350,000$1,350,000$733,333$0$0$No1,200,000$Lien
Layton AhacBears (WAS)D212001-02-22No188 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$925,000$0$0$No925,000$Lien
Marc Del GaizoBears (WAS)D221999-10-11Yes188 Lbs5 ft10NoNoNo1Pro & Farm700,000$700,000$700,000$0$0$No
Martin MarincinBears (WAS)D301992-02-18No217 Lbs6 ft5NoNoNo1Pro & Farm1,119,000$1,119,000$650,000$0$0$NoLien
Mathias BromeBears (WAS)LW281994-07-29No183 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$950,000$0$0$NoLien
Michael CallahanBears (WAS)D231999-09-23Yes197 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$700,000$0$0$No
Michael SgarbossaBears (WAS)C301992-07-25No179 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$750,000$0$0$NoLien
Mike VecchioneBears (WAS)RW291993-02-25No193 Lbs5 ft10NoNoNo1Pro & Farm1,008,000$1,008,000$0$0$NoLien
Patrick NewellBears (WAS)C/LW/RW261996-01-18No139 Lbs5 ft8NoNoNo1Pro & Farm962,000$962,000$792,501$0$0$NoLien
Robert LantosiBears (WAS)RW261995-09-24No185 Lbs5 ft11NoNoNo3Pro & Farm727,000$727,000$650,000$0$0$No727,000$727,000$Lien
Ross JohnstonBears (WAS)LW281994-02-18No232 Lbs6 ft5NoNoNo1Pro & Farm1,002,000$1,002,000$650,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.33194 Lbs6 ft11.67889,347$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mathias BromeJacob de la RoseDmitry Sokolov30122
2Ross JohnstonMichael SgarbossaMike Vecchione30122
3Beck MalenstynClark BishopRobert Lantosi24122
4Cole ReinhardtJ.C. BeaudinPatrick Newell16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis CholowskiMartin Marincin30122
2Christian WolaninJulius Honka30122
3Joe HickettsDmitry Osipov24122
4Dennis CholowskiMartin Marincin16122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mathias BromeJacob de la RoseDmitry Sokolov50122
2Ross JohnstonMichael SgarbossaMike Vecchione50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis CholowskiMartin Marincin50122
2Christian WolaninJulius Honka50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jacob de la RoseMathias Brome50122
2Ross JohnstonBeck Malenstyn50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis CholowskiMartin Marincin50122
2Christian WolaninJulius Honka50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jacob de la Rose50122Dennis CholowskiMartin Marincin50122
2Mathias Brome50122Christian WolaninJulius Honka50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jacob de la RoseMathias Brome50122
2Ross JohnstonBeck Malenstyn50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dennis CholowskiMartin Marincin50122
2Christian WolaninJulius Honka50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mathias BromeJacob de la RoseDmitry SokolovDennis CholowskiMartin Marincin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mathias BromeJacob de la RoseDmitry SokolovDennis CholowskiMartin Marincin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Clark Bishop, Robert Lantosi, Cole ReinhardtClark Bishop, Robert LantosiCole Reinhardt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Hicketts, Dmitry Osipov, Christian WolaninJoe HickettsDmitry Osipov, Christian Wolanin
Tirs de pénalité
Jacob de la Rose, Mathias Brome, Ross Johnston, Beck Malenstyn, Michael Sgarbossa
Gardien
#1 : Kyle Keyser, #2 : Emil Larmi
Lignes d’attaque personnalisées en prolongation
Jacob de la Rose, Mathias Brome, Ross Johnston, Beck Malenstyn, Michael Sgarbossa, Clark Bishop, Clark Bishop, Dmitry Sokolov, Mike Vecchione, Robert Lantosi, Cole Reinhardt
Lignes de défense personnalisées en prolongation
Dennis Cholowski, Martin Marincin, Christian Wolanin, Julius Honka, Joe Hicketts


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
TotalDomicileVisiteur
# 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
1Islanders22000000945110000004221100000052341.000914230010217190112134139145616145513215.38%7185.71%021139653.28%20638952.96%9117950.84%2421652347413064
2Monsters20200000711-41010000056-11010000025-300.0007132000102171571121341391496262442800.00%12283.33%021139653.28%20638952.96%9117950.84%2421652347413064
3Phantoms2010100010100100010007611010000034-120.500101929001021717211213413914792518476233.33%9188.89%021139653.28%20638952.96%9117950.84%2421652347413064
4W-B/Scranton Penguins2000010168-21000000156-11000010012-120.5006111700102171891121341391455182049600.00%10190.00%021139653.28%20638952.96%9117950.84%2421652347413064
5Wolf Pack21100000710-3110000006511010000015-420.50071421001021718711213413914912714507342.86%7185.71%021139653.28%20638952.96%9117950.84%2421652347413064
Total1034011013943-45210100127252513001001218-6100.500397111000102171395112134139143771129024340717.50%45686.67%021139653.28%20638952.96%9117950.84%2421652347413064
_Since Last GM Reset1034011013943-45210100127252513001001218-6100.500397111000102171395112134139143771129024340717.50%45686.67%021139653.28%20638952.96%9117950.84%2421652347413064
_Vs Conference1034011013943-45210100127252513001001218-6100.500397111000102171395112134139143771129024340717.50%45686.67%021139653.28%20638952.96%9117950.84%2421652347413064
_Vs Division1034011013943-45210100127252513001001218-6100.500397111000102171395112134139143771129024340717.50%45686.67%021139653.28%20638952.96%9117950.84%2421652347413064

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1010L239711103953771129024300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
103411013943
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52110012725
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51301001218
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
40717.50%45686.67%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
11213413914102171
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
21139653.28%20638952.96%9117950.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2421652347413064


Derniers matchs 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 - 2022-07-1814Bears5Islanders2AWSommaire du match
3 - 2022-07-1927Islanders2Bears4BWSommaire du match
5 - 2022-07-2145Wolf Pack5Bears6BWSommaire du match
7 - 2022-07-2361Bears1Wolf Pack5ALSommaire du match
8 - 2022-07-2477Bears3Phantoms4ALSommaire du match
10 - 2022-07-2690W-B/Scranton Penguins6Bears5BLXXSommaire du match
11 - 2022-07-27108Phantoms6Bears7BWXSommaire du match
12 - 2022-07-28120Bears1W-B/Scranton Penguins2ALXSommaire du match
14 - 2022-07-30134Monsters6Bears5BLSommaire du match
15 - 2022-07-31151Bears2Monsters5ALSommaire du match
18 - 2022-08-03168Wolves-Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
20 - 2022-08-05197Comets-Bears-
21 - 2022-08-06203Bears-Comets-
22 - 2022-08-07220Bears-Wolves-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3020
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,134,433$ 1,635,666$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 8 0$ 0$




Bears Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bears Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Bears Statistiques de l'Équipe de Carrière


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TotalDomicileVisiteur
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

Bears Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bears Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA