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Bears
GP: 22 | W: 10 | L: 10 | OTL: 2 | P: 22
GF: 91 | GA: 94 | PP%: 19.19% | PK%: 74.55%
DG: Jean-Manuel Estrada | Morale : 37 | Moyenne d’équipe : 64
Prochains matchs #314 vs Griffins
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Centre de jeu
Checkers
12-9-3, 27pts
6
FINAL
7 Bears
10-10-2, 22pts
Team Stats
W2SéquenceW3
7-4-1Fiche domicile5-6-1
5-5-2Fiche domicile5-4-1
4-5-1Derniers 10 matchs4-4-2
4.50Buts par match 4.14
4.29Buts contre par match 4.27
21.50%Pourcentage en avantage numérique19.19%
86.52%Pourcentage en désavantage numérique74.55%
Bears
10-10-2, 22pts
7
FINAL
3 Moose
11-11-2, 24pts
Team Stats
W3SéquenceL1
5-6-1Fiche domicile6-5-1
5-4-1Fiche domicile5-6-1
4-4-2Derniers 10 matchs5-4-1
4.14Buts par match 4.29
4.27Buts contre par match 4.63
19.19%Pourcentage en avantage numérique24.35%
74.55%Pourcentage en désavantage numérique77.57%
Griffins
15-6-1, 31pts
Jour 62
Bears
10-10-2, 22pts
Statistiques d’équipe
SOW1SéquenceW3
8-4-0Fiche domicile5-6-1
7-2-1Fiche visiteur5-4-1
7-3-010 derniers matchs4-4-2
4.50Buts par match 4.14
3.45Buts contre par match 4.14
20.00%Pourcentage en avantage numérique19.19%
80.72%Pourcentage en désavantage numérique74.55%
Bears
10-10-2, 22pts
Jour 65
Condors
14-9-1, 29pts
Statistiques d’équipe
W3SéquenceSOW1
5-6-1Fiche domicile8-3-1
5-4-1Fiche visiteur6-6-0
4-4-210 derniers matchs8-2-0
4.14Buts par match 4.29
4.27Buts contre par match 4.29
19.19%Pourcentage en avantage numérique15.00%
74.55%Pourcentage en désavantage numérique80.37%
Griffins
15-6-1, 31pts
Jour 67
Bears
10-10-2, 22pts
Statistiques d’équipe
SOW1SéquenceW3
8-4-0Fiche domicile5-6-1
7-2-1Fiche visiteur5-4-1
7-3-010 derniers matchs4-4-2
4.50Buts par match 4.14
3.45Buts contre par match 4.14
20.00%Pourcentage en avantage numérique19.19%
80.72%Pourcentage en désavantage numérique74.55%
Meneurs d'équipe
Buts
Kerby Rychel
11
Passes
Kerby Rychel
20
Points
Kerby Rychel
31
Plus/Moins
Kevin Rooney
9
Victoires
Garret Sparks
8
Pourcentage d’arrêts
Artyom Zagidulin
0.866

Statistiques d’équipe
Buts pour
91
4.14 GFG
Tirs pour
718
32.64 Avg
Pourcentage en avantage numérique
19.2%
19 GF
Début de zone offensive
36.5%
Buts contre
94
4.27 GAA
Tirs contre
687
31.23 Avg
Pourcentage en désavantage numérique
74.5%%
14 GA
Début de la zone défensive
35.9%
Informations de l'équipe

Directeur généralJean-Manuel Estrada
EntraîneurGerard Gallant
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,798
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 250
Espoirs0


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
1Kerby RychelX100.008649748176648077687778697268614043740253950,000$
2Jerry D'AmigoX100.006634837572837476687475677566562638720281900,000$
3Sam CarrickX100.007738757472668373707873736673632940720271800,000$
4Kevin RooneyX100.006545777268747568787175657556553234700261750,000$
5Tanner Laczynski (R)X100.006335807867766676717671647848495046700222900,000$
6Mason Appleton (R)X100.005836827470697472808174596050484644690233750,000$
7Cole SmithX100.007547866070646380707368636550524042680242800,000$
8Vincent DunnX100.006838766771607672717166636647493742660241500,000$
9Nicholas Caamano (R)X100.006143726963636567677063647144445642640213500,000$
10Blake Speers (R)X100.006336665771605665556977445744444535610223900,000$
11Isaac Ratcliffe (R)X100.006732784766696659566475496142426142600204500,000$
12Kirill Maksimov (R)X100.006126765474556463645768455342425535580204500,000$
13Tommy VannelliX100.006331897372737573568163776167493942720242900,000$
14Gianluca CurcurutoX100.007534797367727269587263736266533042700251850,000$
15Michael Prapavessis (R)X100.006833867368707268517457775755504142700233500,000$
16Mikko VainonenX100.006929787072747372547165745572532742700251650,000$
17Emil Johansson (R)X100.006147796865696665597166715554493845660233750,000$
18Ryan Graves (R)X100.006134796867687167447051694948493032650242675,000$
Rayé
1Colby CaveX100.005326766673566162545977585851512630620251600,000$
2Tim Gettinger (R)X100.006132695769635963526366376943434620580212600,000$
3Jeremy Michel (R)X100.005217615034503262544253426940406120490182500,000$
4Jesper Pettersson (R)X100.006345746466696263656670576255502923640242675,000$
5Will Reilly (R)X100.004736797765476268257660544746454120630224600,000$
6Kristians Rubins (R)X100.005842796661615863296351754748484820630224600,000$
7David Farrance (R)X100.005834725860656059376859695042425420610204550,000$
8Mackenze Stewart (R)X100.005846706360666360666669515447463320610233500,000$
9Mario Ferraro (R)X100.005633816062676660306643694243444720610214500,000$
10Zack Hayes (R)X100.006533585869645251255748543942425720570201400,000$
11Jakob Stenqvist (R)X100.005727746443466163407045533943434320560213500,000$
12Arvid Henrikson (R)X100.005328626464594550305955573243434620560213500,000$
MOYENNE D’ÉQUIPE100.00633676666665656655696461585148423364
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
1Garret Sparks100.00777485666974785870837164543445720262900,000$
2Artyom Zagidulin100.00706467776862606161616645475348630243900,000$
Rayé
MOYENNE D’ÉQUIPE100.0074697672696869606672695551444768
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerard Gallant65666472386557CAN41550,000$


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
1Kerby RychelBears (Was)LW211120312235432387206512.64%1247522.63381115810001301149.18%612211011.3000100032
2Sam CarrickBears (Was)C21717242140314447163714.89%1244921.434488800000261053.51%669166001.0700000002
3Mason AppletonBears (Was)RW2291423-340232467143313.43%338517.533471070000000055.00%20106001.1900000110
4Tanner LaczynskiBears (Was)C2261218-116034296916298.70%935616.190334470003300044.04%277119001.0100000101
5Jerry D'AmigoBears (Was)RW1510616-240161450183220.00%1031421.002248550002101045.45%3355011.0200000111
6Kevin RooneyBears (Was)C2097169100203648152818.75%526413.2100004000002152.15%186104011.2100000110
7Nicolas Aube-KubelCapitalsRW85111654013164091912.50%718322.901455340001172135.71%1447011.7500000300
8Cole SmithBears (Was)LW2210616-12054255172319.61%1337817.21224869000031061.11%1849000.8400000021
9Mikko VainonenBears (Was)D2221315-716038562711177.41%3959827.19112498000139000%01415000.5000000000
10Nicholas CaamanoBears (Was)RW227714-580231950111914.00%925311.5210111000000066.67%656001.1100000011
11Gianluca CurcurutoBears (Was)D22210124602826291076.90%3545020.46011058000127000%0613000.5300000000
12Michael PrapavessisBears (Was)D222911800152725998.00%2246120.99112258000035000%0113000.4800000000
13Vincent DunnBears (Was)C22279-66022143410165.88%82009.10112224000020041.67%7251000.9000000001
14Tommy VannelliBears (Was)D22178-50014474116252.44%3261527.97011598000148000%01523000.2600000000
15Isaac RatcliffeBears (Was)LW22426-70026161371030.77%725811.74000020000161033.33%602000.4600000020
16Ryan GravesBears (Was)D17134-72051676514.29%919011.190000000002000%005000.4200000000
17Colby CaveBears (Was)C17202-3007651640.00%31015.9600000000041016.67%612000.3900000000
18Blake SpeersBears (Was)C1501106016410250%11449.67000010001150050.00%1424000.1400000000
19Emil JohanssonBears (Was)D22011-775152012430%2126412.040000000005000%0416000.0800100000
20Jesper PetterssonBears (Was)D5011-100530110%76012.070000000000000%000000.3300000000
21Kirill MaksimovBears (Was)RW15101-3209464516.67%21127.48000000000000100.00%201000.1800000000
Statistiques d’équipe totales ou en moyenne39691154245-381201045746971820739412.67%266651916.46193251727890001131910350.22%1384135158040.75002007119
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
1Garret SparksBears (Was)198920.8624.34103701755452521000193200
2Artyom ZagidulinBears (Was)82100.8664.012840019142711000319000
Statistiques d’équipe totales ou en moyenne27101020.8634.27132201946873232002222200


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Artyom ZagidulinBears (Was)G241995-01-01No181 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm900,000$628,218$0$0$No900,000$900,000$-------NoNo-------
Arvid HenriksonBears (Was)D211998-01-01Yes212 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm500,000$349,010$0$0$No500,000$500,000$-------NoNo-------
Blake SpeersBears (Was)C221997-01-01Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm900,000$628,218$0$0$No900,000$900,000$-------NoNo-------
Colby CaveBears (Was)C251994-01-01No185 Lbs6 ft1NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm600,000$418,812$0$0$No------------------
Cole SmithBears (Was)LW241995-01-01No195 Lbs6 ft3NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm800,000$558,416$0$0$No800,000$--------No--------
David FarranceBears (Was)D201999-01-01Yes191 Lbs6 ft0NoNoFree AgentNoNo42024-09-17FalseFalsePro & Farm550,000$383,911$0$0$No550,000$550,000$550,000$------NoNoNo------
Emil JohanssonBears (Was)D231996-01-01Yes189 Lbs5 ft11NoNoFree AgentNoNo32024-09-17FalseFalsePro & Farm750,000$523,515$0$0$No750,000$750,000$-------NoNo-------
Garret SparksBears (Was)G261993-01-01No207 Lbs6 ft2NoNoFree AgentNoNo22024-10-17FalseFalsePro & Farm900,000$628,218$0$0$No900,000$--------No--------
Gianluca CurcurutoBears (Was)D251994-01-01No195 Lbs6 ft0NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm850,000$593,317$0$0$No------------------
Isaac RatcliffeBears (Was)LW201999-01-01Yes200 Lbs6 ft6NoNoFree AgentNoNo42024-09-17FalseFalsePro & Farm500,000$349,010$0$0$No500,000$500,000$500,000$------NoNoNo------
Jakob StenqvistBears (Was)D211998-01-01Yes179 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm500,000$349,010$0$0$No500,000$500,000$-------NoNo-------
Jeremy MichelBears (Was)LW182001-01-01Yes176 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Jerry D'AmigoBears (Was)RW281991-01-01No208 Lbs5 ft11NoNoFree AgentNoNo12024-11-08FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Jesper PetterssonBears (Was)D241995-01-01Yes189 Lbs5 ft9NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm675,000$471,163$0$0$No675,000$--------No--------
Kerby RychelBears (Was)LW251994-01-01No185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm950,000$663,119$0$0$No950,000$950,000$-------NoNo-------
Kevin RooneyBears (Was)C261993-01-01No190 Lbs6 ft2NoNoFree AgentNoNo12024-10-19FalseFalsePro & Farm750,000$523,515$0$0$No------------------
Kirill MaksimovBears (Was)RW201999-01-01Yes207 Lbs6 ft2NoNoFree AgentNoNo42024-09-17FalseFalsePro & Farm500,000$349,010$0$0$No500,000$500,000$500,000$------NoNoNo------
Kristians RubinsBears (Was)D221997-01-01Yes227 Lbs6 ft5NoNoFree AgentNoNo42024-09-17FalseFalsePro & Farm600,000$418,812$0$0$No600,000$600,000$600,000$------NoNoNo------
Mackenze StewartBears (Was)D231996-01-01Yes230 Lbs6 ft4NoNoFree AgentNoNo32024-09-17FalseFalsePro & Farm500,000$349,010$0$0$No500,000$500,000$-------NoNo-------
Mario FerraroBears (Was)D211998-01-01Yes209 Lbs6 ft0NoNoFree AgentNoNo42024-09-17FalseFalsePro & Farm500,000$349,010$0$0$No500,000$500,000$500,000$------NoNoNo------
Mason AppletonBears (Was)RW231996-01-01Yes193 Lbs6 ft2NoNoTrade2024-10-17NoNo32024-09-07FalseFalsePro & Farm750,000$523,515$0$0$No850,000$950,000$-------NoNo-------
Michael PrapavessisBears (Was)D231996-01-01Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm500,000$349,010$0$0$No500,000$500,000$-------NoNo-------
Mikko VainonenBears (Was)D251994-01-01No222 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$453,713$0$0$No------------------
Nicholas CaamanoBears (Was)RW211998-01-01Yes201 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm500,000$349,010$0$0$No500,000$500,000$-------NoNo-------
Ryan GravesBears (Was)D241995-01-01Yes225 Lbs6 ft4NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm675,000$471,163$0$0$No675,000$--------No--------
Sam CarrickBears (Was)C271992-01-01No188 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$558,416$0$0$No------------------
Tanner LaczynskiBears (Was)C221997-01-01Yes205 Lbs6 ft1NoNoTrade2024-10-17NoNo2FalseFalsePro & Farm900,000$628,218$0$0$No1,200,000$--------No--------
Tim GettingerBears (Was)LW211998-01-01Yes220 Lbs6 ft6NoNoFree AgentNoNo22024-10-19FalseFalsePro & Farm600,000$418,812$0$0$No600,000$--------No--------
Tommy VannelliBears (Was)D241995-01-01No185 Lbs6 ft2NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm900,000$628,218$0$0$No900,000$--------No--------
Vincent DunnBears (Was)C241995-01-01No185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Will ReillyBears (Was)D221997-01-01Yes196 Lbs6 ft2NoNoFree AgentNoNo42024-09-17FalseFalsePro & Farm600,000$418,812$0$0$No600,000$600,000$600,000$------NoNoNo------
Zack HayesBears (Was)D201999-01-01Yes222 Lbs6 ft3NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm400,000$279,208$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3222.94199 Lbs6 ft22.44668,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kerby RychelSam CarrickJerry D'Amigo40014
2Cole SmithTanner LaczynskiMason Appleton30014
3Blake SpeersKevin RooneyNicholas Caamano20023
4Isaac RatcliffeVincent DunnKirill Maksimov10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tommy VannelliMikko Vainonen40032
2Gianluca CurcurutoMichael Prapavessis30032
3Emil JohanssonRyan Graves20032
4Tommy VannelliMikko Vainonen10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kerby RychelSam CarrickJerry D'Amigo60005
2Cole SmithTanner LaczynskiMason Appleton40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tommy VannelliMikko Vainonen60023
2Gianluca CurcurutoMichael Prapavessis40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tanner LaczynskiKerby Rychel60041
2Sam CarrickJerry D'Amigo40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tommy VannelliMikko Vainonen60041
2Gianluca CurcurutoMichael Prapavessis40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kerby Rychel60050Tommy VannelliMikko Vainonen60050
2Tanner Laczynski40050Gianluca CurcurutoMichael Prapavessis40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam CarrickKerby Rychel60014
2Tanner LaczynskiJerry D'Amigo40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tommy VannelliMikko Vainonen60023
2Gianluca CurcurutoMichael Prapavessis40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kerby RychelTanner LaczynskiJerry D'AmigoTommy VannelliMikko Vainonen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kerby RychelSam CarrickJerry D'AmigoTommy VannelliMikko Vainonen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kerby Rychel, Jerry D'Amigo, Mason AppletonKerby Rychel, Jerry D'AmigoKerby Rychel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tommy Vannelli, Mikko Vainonen, Gianluca CurcurutoTommy VannelliTommy Vannelli, Mikko Vainonen
Tirs de pénalité
Kerby Rychel, Jerry D'Amigo, Mason Appleton, Tanner Laczynski, Cole Smith
Gardien
#1 : Garret Sparks, #2 : Artyom Zagidulin
Lignes d’attaque personnalisées en prolongation
Kerby Rychel, Mason Appleton, Jerry D'Amigo, Tanner Laczynski, Sam Carrick, Cole Smith, Cole Smith, Kevin Rooney, Vincent Dunn, Nicholas Caamano, Blake Speers
Lignes de défense personnalisées en prolongation
Tommy Vannelli, Mikko Vainonen, Gianluca Curcuruto, Michael Prapavessis, Emil Johansson


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
1Checkers2200000013103110000007611100000064241.000132437002043271712342642182641610358112.50%5260.00%025250450.00%23249646.77%21138055.53%480272451194390203
2Comets20200000513-81010000026-41010000037-400.000510150020432716523426421826127223812216.67%6183.33%025250450.00%23249646.77%21138055.53%480272451194390203
3Crunch11000000945110000009450000000000021.0009162500204327139234264218226124334125.00%20100.00%025250450.00%23249646.77%21138055.53%480272451194390203
4Eagles1000010034-11000010034-10000000000010.5003690020432713023426421824110020300.00%000%025250450.00%23249646.77%21138055.53%480272451194390203
5Firebirds53200000262153210000016115211000001010060.600264268002043271169234264218215760289629620.69%14657.14%025250450.00%23249646.77%21138055.53%480272451194390203
6Islander3110010010911010000025-32100010084430.500101727012043271912342642182812620671417.14%100100.00%025250450.00%23249646.77%21138055.53%480272451194390203
7Moose11000000734000000000001100000073421.000712190020432714123426421822766234375.00%3233.33%025250450.00%23249646.77%21138055.53%480272451194390203
8Penguins1010000014-31010000014-30000000000000.0001230020432713023426421823318218400.00%10100.00%025250450.00%23249646.77%21138055.53%480272451194390203
9Phantoms1010000034-11010000034-10000000000000.0003470020432712923426421822588172150.00%4175.00%025250450.00%23249646.77%21138055.53%480272451194390203
10Punishers11000000211000000000001100000021121.0002460020432713323426421822717414400.00%20100.00%025250450.00%23249646.77%21138055.53%480272451194390203
11Rockets1010000024-21010000024-20000000000000.00023500204327130234264218226136325120.00%30100.00%025250450.00%23249646.77%21138055.53%480272451194390203
12Wolfpack20101000710-3100010006511010000015-420.5007101700204327153234264218277378398337.50%4175.00%025250450.00%23249646.77%21138055.53%480272451194390203
13Wranglers1010000037-4000000000001010000037-400.0003470020432713723426421824216225200.00%110.00%025250450.00%23249646.77%21138055.53%480272451194390203
Total22910012009194-31246011005153-21054001004041-1220.500911542450120432717182342642182687266120457991919.19%551474.55%025250450.00%23249646.77%21138055.53%480272451194390203
_Since Last GM Reset22910012009194-31246011005153-21054001004041-1220.500911542450120432717182342642182687266120457991919.19%551474.55%025250450.00%23249646.77%21138055.53%480272451194390203
_Vs Conference1887012007676010440110046451843001003031-1200.55676131207012043271581234264218256722398360861416.28%441077.27%025250450.00%23249646.77%21138055.53%480272451194390203
_Vs Division1045001004143-2523000002022-2522001002121090.450416911001204327132523426421822991137020155916.36%30776.67%025250450.00%23249646.77%21138055.53%480272451194390203

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2222W39115424571868726612045701
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2291012009194
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
124611005153
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
105401004041
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
991919.19%551474.55%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
23426421822043271
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
25250450.00%23249646.77%21138055.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
480272451194390203


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
311Comets6Bears2LSommaire du match
517Bears3Comets7LSommaire du match
835Firebirds2Bears6WR1Sommaire du match
1050Bears5Firebirds6LSommaire du match
1260Firebirds6Bears4LR1Sommaire du match
1781Firebirds3Bears6WSommaire du match
2098Bears5Islander0WR1Sommaire du match
22109Islander5Bears2LSommaire du match
26131Penguins4Bears1LSommaire du match
28145Bears5Firebirds4WR1Sommaire du match
29150Bears6Checkers4WSommaire du match
31163Wolfpack5Bears6WXSommaire du match
35184Crunch4Bears9WSommaire du match
39199Bears3Wranglers7LSommaire du match
41208Bears3Islander4LXR1Sommaire du match
42216Phantoms4Bears3LSommaire du match
47237Eagles4Bears3LXSommaire du match
50255Bears1Wolfpack5LSommaire du match
52263Rockets4Bears2LSommaire du match
54272Bears2Punishers1WSommaire du match
56287Checkers6Bears7WSommaire du match
60304Bears7Moose3WSommaire du match
62314Griffins-Bears-
65328Bears-Condors-
67341Griffins-Bears-
70361Bears-Eagles-
72369Marlies-Bears-
77392Wolfpack-Bears-
79407Bears-Firebirds-
81418Moose-Bears-
83426Bears-Crunch-
86443Bears-Eagles-
87446Wranglers-Bears-
92469Americans-Bears-
94486Bears-Barracuda-
96492Bears-Rockets-
97499Comets-Bears-
102521Firebirds-Bears-
106540Bears-Comets-
108548Senators-Bears-
110562Bears-Phantoms-
112574Punishers-Bears-
116591Bears-Comets-
117599Icehogs-Bears-
121618Bears-Admirals-
122626Crunch-Bears-
125639Bears-Marlies-
127651Condors-Bears-
128658Bears-Firebirds-
131673Bears-Barracuda-
132680Canucks-Bears-
135697Bears-Little Stars-
136705Firebirds-Bears-
138721Bears-Thunderbirds-
141732Penguins-Bears-
143749Bears-Penguins-
145757Little Stars-Bears-
147766Bears-Icehogs-
149782Bears-Gulls-
150787Comets-Bears-
154807Bears-Americans-
155812Little Stars-Bears-
160834Bears-Punishers-
161840Islander-Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
165861Admirals-Bears-
167874Bears-Checkers-
170886Gulls-Bears-
173902Bears-Condors-
174912Barracuda-Bears-
179939Condors-Bears-
180945Bears-Senators-
182954Bears-Islander-
184966Islander-Bears-
185968Bears-Griffins-
188979Bears-Checkers-
190993Bears-Canucks-
1921000Thunderbirds-Bears-
1931006Bears-Wranglers-
1941015Bears-Canucks-
1981031Thunderbirds-Bears-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance22,39111,188
Assistance PCT93.30%93.23%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 2798 - 93.28% 176,303$2,115,633$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
810,089$ 2,140,000$ 2,120,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,594$ 643,987$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,936,477$ 141 13,317$ 1,877,697$




Bears Leaders statistiques des joueurs (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

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 des joueurs (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