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Connexion

Bears
GP: 80 | W: 41 | L: 33 | OTL: 6 | P: 88
GF: 355 | GA: 348 | PP%: 21.16% | PK%: 76.95%
DG: Jean-Manuel Estrada | Morale : 44 | Moyenne d’équipe : 63
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Centre de jeu
Bears
41-33-6, 88pts
6
FINAL
9 Thunderbirds
51-25-4, 106pts
Team Stats
L5StreakL1
23-15-2Home Record26-13-1
18-18-4Away Record25-12-3
4-6-0Last 10 Games9-1-0
4.44Buts par match 4.25
4.35Buts contre par match 3.80
21.16%Pourcentage en avantage numérique20.88%
76.95%Pourcentage en désavantage numérique78.65%
Devils
49-26-5, 103pts
7
FINAL
5 Bears
41-33-6, 88pts
Team Stats
W4StreakL5
24-13-3Home Record23-15-2
25-13-2Away Record18-18-4
9-1-0Last 10 Games4-6-0
4.73Buts par match 4.44
4.09Buts contre par match 4.35
21.24%Pourcentage en avantage numérique21.16%
82.72%Pourcentage en désavantage numérique76.95%
Meneurs d'équipe
Buts
Kerby Rychel
43
Passes
Kerby Rychel
57
Points
Kerby Rychel
100
Plus/Moins
Michael Prapavessis
28
Victoires
Jake Allen
22
Pourcentage d’arrêts
Sami Aittokallio
0.879

Statistiques d’équipe
Buts pour
355
4.44 GFG
Tirs pour
2779
34.74 Avg
Pourcentage en avantage numérique
21.2%
62 GF
Début de zone offensive
36.6%
Buts contre
348
4.35 GAA
Tirs contre
2697
33.71 Avg
Pourcentage en désavantage numérique
77.0%%
56 GA
Début de la zone défensive
35.6%
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 Pro41
Équipe Mineure18
Limite contact 59 / 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
1Max FribergX100.006331807672777474757773766863583767720253900,000$
2Joshua Leivo (R)X100.006926797478767774737077616855494062700242900,000$
3Kerby Rychel (R)X100.008349707772608077687173656953504848700231900,000$
4Nicolas Aube-Kubel (R)X100.007737727173687776687376685949454758700211750,000$
5Sam CarrickX100.007537737271627871717771716562553559700253800,000$
6A.J. JenksX100.007427707269727571737174686454532751690271925,000$
7Mike HoffmanX100.007526737576727174716770607166632450690281650,000$
8Jamie McGinnX100.007932716869647169686971707558542264680291750,000$
9Austin CzarnikX100.006451767761705982626368598052523837670251995,000$
10Angelo EspositoX100.006439746562677268767267556856532064650281550,000$
11Vincent Dunn (R)X100.006438756267537267666859595944464564620223500,000$
12Colby Cave (R)X100.005025706168535858505872495647473222580232250,000$
13Joey LaleggiaX100.007041907165617071447160776465523165700251900,000$
14Derek ForbortX100.006737696868756766587058746157513164670251500,000$
15Mikko Vainonen (R)X100.006429786971696872516764705459473261670233650,000$
16Tommy Vannelli (R)X100.005931867266676569497555715351464764670222600,000$
17Gianluca Curcuruto (R)X100.007234757261686867566758685954493655660232500,000$
18Michael Prapavessis (R)X100.006333836863636764447049715247454935650211500,000$
Rayé
1Austin Wuthrich (R)X100.007525666569617276686567596149493053650242500,000$
2Cole Smith (R)X100.007146835566596078696963606248494919650222500,000$
3Brett BulmerX100.006436636867616566646970586051513018640251600,000$
4Logan O'Connor (R)X100.006737776567616072646467526847455619630211500,000$
5Nikolay Prokhorkin (R)X100.005534756057636462727861525951503319620242275,000$
6Warren Foegele (R)X100.004835936671787161616652615943435519620211500,000$
7Nicholas Caamano (R)X100.005740686058596261616657586641417020590191500,000$
8Isaac Ratcliffe (R)X100.006427734262646156525869425740408020560182500,000$
9Kirill Maksimov (R)X100.005823715070515959585163394940407220540182500,000$
10Emil Johansson (R)X100.005747766664686560536660654949444417630212500,000$
11Jacob Bryson (R)X100.005931696959556480328045604044455219620202500,000$
12Ryan Graves (R)X100.005732766563646762426647674546453819620222250,000$
13Jesper Pettersson (R)X100.005842706363666259636666505852463519610222450,000$
14Kristians Rubins (R)X100.005636736054585660256145694346466220590202500,000$
15Mackenze Stewart (R)X100.005340676057616056626267475245444320580212450,000$
16Mario Ferraro (R)X100.005428775660636256276337643941425920580192500,000$
17Will Reilly (R)X100.004031747360435764217253484344435520580202500,000$
18David Farrance (R)X100.005432695654625657346253634740406920570182500,000$
19Zack Hayes (R)X100.006131545365604748225244473440407220520182500,000$
20Jakob Stenqvist (R)X100.005425706140425958346538483441415620520191500,000$
21Arvid Henrikson (R)X100.004924595958544345265451522841415920510191500,000$
MOYENNE D’ÉQUIPE100.00633474656563656655676160565047453763
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
1Jake Allen100.00717375646680766671797062583064710273750,000$
2Sami Aittokallio100.00656968666373747967686751513158680251500,000$
Rayé
MOYENNE D’ÉQUIPE100.0068717265657775736974695755316170
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerard Gallant65666472386557CAN22550,000$


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)LW744357100-2635154883037218014.19%38149620.2214923382062027872446.55%1165823121.3414001805
2Sam CarrickBears (Was)C7836579305751241822138214416.90%49163821.01714212522501121303249.56%24053731011.1312100276
3Max FribergBears (Was)RW62364884-16300521062617515713.79%37140522.67516213119400031573250.74%3394926001.2015000632
4Nicolas Aube-KubelBears (Was)RW773544795340138902466213714.23%24126616.459514231530116592349.06%1064419021.25210000462
5A.J. JenksBears (Was)LW79364076-14201451252297512615.72%30132916.835813171721011783047.69%655222021.1446000461
6Mike HoffmanBears (Was)LW782532574180119661816110413.81%24102213.1035812720003225052.50%403928001.1202000042
7Joshua LeivoBears (Was)RW7920355541209972208751239.62%12112614.2625713991233492040.00%405619000.9849000142
8Joey LaleggiaBears (Was)D7354550-161207818211758694.27%113204928.0721012132520111186010.00%03878000.4900000112
9Angelo EspositoBears (Was)C801531462240748295354715.79%19109013.6329117590001642052.69%632811000.8422000202
10Jamie McGinnBears (Was)LW80181735-91809171135567213.33%287869.840001150110531264.00%252915000.8902000122
11Austin WuthrichBears (Was)RW6718143241807636114425215.79%96029.00101280000134058.33%12227001.0600000013
12Tommy VannelliBears (Was)D8042832-1140501157529325.33%91163820.4824671780000138100.00%01951000.3900000000
13Mikko VainonenBears (Was)D8012930-234756812811849500.85%102190923.87033142340000163000.00%02573000.3101010010
14Derek ForbortBears (Was)D80101525-556012113695354310.53%98181722.71437102040002145100.00%01952000.2800000102
15Austin CzarnikBears (Was)RW31121325-100241897254212.37%935711.54213522000002062.50%16145001.4000000212
16Vincent DunnBears (Was)C8071623216052456292811.29%87068.8400000000030047.00%28348000.6500000000
17Gianluca CurcurutoBears (Was)D7548122714057554917248.16%5795612.75000015000141000.00%0929000.2500000100
18Michael PrapavessisBears (Was)D611910284018502811203.57%3274112.1600001000120100.00%0638000.2700000000
19Brett BulmerBears (Was)RW1642624078193921.05%2996.240000000000000.00%230001.2000000010
20Emil JohanssonBears (Was)D23213-200614134215.38%1726211.4300001000010000.00%003000.2300000100
21Cole SmithBears (Was)LW1021360044105220.00%1707.0400000000000050.00%401000.8500000000
22Colby CaveBears (Was)C15000-600080320.00%01278.5100002000040041.67%4821000.00%00000000
23Jesper PetterssonBears (Was)D3000100000000.00%031.190000000001000.00%000000.00%00000000
24Jacob BrysonBears (Was)D6000-100000000.00%2162.740000000000000.00%001000.00%00000000
25Nikolay ProkhorkinBears (Was)LW6000020112000.00%0172.910000000007000.00%100000.00%00000000
26Ryan GravesBears (Was)D6000000030100.00%0233.940000000000000.00%000000.00%00000000
27Warren FoegeleBears (Was)LW6000000010000.00%010.260000000001000.00%100000.00%00000000
28Logan O'ConnorBears (Was)RW7000000010000.00%030.500000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne1412334542876-847515155816872670884146512.51%8022256815.98589215021821244610311441321449.79%4135533541170.781543111343733
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
1Jake AllenBears (Was)55222050.8744.142899602001593765230.731265030202
2Sami AittokallioBears (Was)37171220.8794.06177520120993501120.800202555012
Statistiques d’équipe totales ou en moyenne92393270.8764.114674803202586126635467585214


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 restantPlafond 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
A.J. JenksBears (Was)LW271990-01-01No206 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
Angelo EspositoBears (Was)C281989-01-01No190 Lbs6 ft0NoNoNo1Pro & Farm550,000$0$0$No
Arvid HenriksonBears (Was)D191998-01-01Yes212 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$NoLien
Austin CzarnikBears (Was)RW251992-01-01No174 Lbs5 ft9NoNoNo1Pro & Farm995,000$0$0$NoLien
Austin WuthrichBears (Was)RW241993-01-01Yes190 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Brett BulmerBears (Was)RW251992-01-01No212 Lbs6 ft4NoNoNo1Pro & Farm600,000$0$0$No
Colby CaveBears (Was)C231994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm250,000$0$0$No250,000$Lien
Cole SmithBears (Was)LW221995-01-01Yes195 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
David FarranceBears (Was)D181999-01-01Yes191 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Derek ForbortBears (Was)D251992-01-01No212 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Emil JohanssonBears (Was)D211996-01-01Yes189 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Gianluca CurcurutoBears (Was)D231994-01-01Yes195 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No550,000$
Isaac RatcliffeBears (Was)LW181999-01-01Yes200 Lbs6 ft6NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jacob BrysonBears (Was)D201997-01-01Yes175 Lbs5 ft9NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jake AllenBears (Was)G271990-01-01No195 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Jakob StenqvistBears (Was)D191998-01-01Yes179 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Jamie McGinnBears (Was)LW291988-01-01No205 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
Jesper PetterssonBears (Was)D221995-01-01Yes189 Lbs5 ft9NoNoNo2Pro & Farm450,000$0$0$No450,000$Lien
Joey LaleggiaBears (Was)D251992-01-01No182 Lbs5 ft9NoNoNo1Pro & Farm900,000$0$0$No
Joshua LeivoBears (Was)RW241993-01-01Yes204 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$
Kerby RychelBears (Was)LW231994-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Kirill MaksimovBears (Was)RW181999-01-01Yes207 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Kristians RubinsBears (Was)D201997-01-01Yes227 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Logan O'ConnorBears (Was)RW211996-01-01Yes174 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Mackenze StewartBears (Was)D211996-01-01Yes230 Lbs6 ft4NoNoNo2Pro & Farm450,000$0$0$No450,000$Lien
Mario FerraroBears (Was)D191998-01-01Yes209 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Max FribergBears (Was)RW251992-01-01No200 Lbs5 ft11NoNoNo3Pro & Farm900,000$0$0$No950,000$1,000,000$
Michael PrapavessisBears (Was)D211996-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Mike HoffmanBears (Was)LW281989-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
Mikko VainonenBears (Was)D231994-01-01Yes222 Lbs6 ft2NoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$
Nicholas CaamanoBears (Was)RW191998-01-01Yes201 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLien
Nicolas Aube-KubelBears (Was)RW211996-01-01Yes187 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien
Nikolay ProkhorkinBears (Was)LW241993-01-01Yes190 Lbs6 ft2NoNoNo2Pro & Farm275,000$0$0$No275,000$Lien
Ryan GravesBears (Was)D221995-01-01Yes225 Lbs6 ft4NoNoNo2Pro & Farm250,000$0$0$No250,000$Lien
Sam CarrickBears (Was)C251992-01-01No188 Lbs6 ft0NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Sami AittokallioBears (Was)G251992-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Tommy VannelliBears (Was)D221995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Vincent DunnBears (Was)C221995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Warren FoegeleBears (Was)LW211996-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Will ReillyBears (Was)D201997-01-01Yes196 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Zack HayesBears (Was)D181999-01-01Yes222 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4122.49197 Lbs6 ft11.71580,366$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kerby RychelSam CarrickMax Friberg35005
2A.J. JenksAngelo EspositoJoshua Leivo30005
3Mike HoffmanVincent DunnNicolas Aube-Kubel20014
4Jamie McGinnColby CaveAustin Czarnik15023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joey LaleggiaMikko Vainonen40023
2Tommy VannelliDerek Forbort30032
3Gianluca CurcurutoMichael Prapavessis20032
4Joey LaleggiaMikko Vainonen10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kerby RychelSam CarrickMax Friberg60005
2A.J. JenksAngelo EspositoNicolas Aube-Kubel40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joey LaleggiaMikko Vainonen60023
2Tommy VannelliDerek Forbort40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam CarrickMax Friberg60041
2Jamie McGinnNicolas Aube-Kubel40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joey LaleggiaMikko Vainonen60041
2Tommy VannelliDerek Forbort40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Carrick60050Joey LaleggiaMikko Vainonen60050
2Max Friberg40050Tommy VannelliDerek Forbort40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam CarrickMax Friberg60005
2Angelo EspositoKerby Rychel40005
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joey LaleggiaMikko Vainonen60023
2Tommy VannelliDerek Forbort40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kerby RychelSam CarrickMax FribergJoey LaleggiaMikko Vainonen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jamie McGinnSam CarrickMax FribergJoey LaleggiaMikko Vainonen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Max Friberg, Nicolas Aube-Kubel, Sam CarrickMax Friberg, Sam CarrickMax Friberg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Gianluca Curcuruto, Joey Laleggia, Tommy VannelliGianluca CurcurutoJoey Laleggia, Tommy Vannelli
Tirs de pénalité
Joshua Leivo, Nicolas Aube-Kubel, A.J. Jenks, Max Friberg, Sam Carrick
Gardien
#1 : Sami Aittokallio, #2 : Jake Allen


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
1Admirals220000001156110000004131100000074341.00011182900102136109165893991791057561362511218.18%30100.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
2Barracuda22000000954110000006331100000032141.000915240010213610916689399179105758268443133.33%40100.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
3Comets421001001918132100000141221000010056-150.62519294800102136109161429399179105714630167313538.46%9277.78%0943183251.47%889178049.94%679139348.74%171997116947401450730
4Condors210000101385100000106511100000073441.0001320330010213610916809399179105768186356116.67%30100.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
5Crunch303000001015-520200000710-31010000035-200.000101626101021361091695939917910579331125714214.29%6350.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
6Devils605001001732-15302001001018-830300000714-710.083173047201021361091620193991791057197584211219210.53%21385.71%0943183251.47%889178049.94%679139348.74%171997116947401450730
7Eagles44000000271512110000004223300000023131081.00027467300102136109161429399179105715348269215533.33%13376.92%1943183251.47%889178049.94%679139348.74%171997116947401450730
8Griffins301001101314-11010000034-1200001101010030.500132134001021361091687939917910571153516729555.56%80100.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
9Heat211000001284110000009271010000036-320.50012203200102136109168093991791057582414366116.67%7271.43%0943183251.47%889178049.94%679139348.74%171997116947401450730
10Icehogs320000011812621000001111101100000071650.83318314900102136109161109399179105710635224811327.27%11190.91%1943183251.47%889178049.94%679139348.74%171997116947401450730
11Little Stars420000202318510000010761320000101612481.00023355800102136109161399399179105714436207912325.00%10190.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
12Marlies211000001192110000008441010000035-220.5001120310010213610916749399179105768194488225.00%2150.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
13Monsters220000001129110000007161100000041341.0001115260010213610916839399179105761184477228.57%20100.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
14Moose20100010610-41010000016-51000001054120.500681400102136109166993991791057672312476116.67%6350.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
15Penguins4220000013103110000007343120000067-140.5001318310010213610916124939917910571414526901317.69%13284.62%0943183251.47%889178049.94%679139348.74%171997116947401450730
16Phantoms2110000089-11010000047-31100000042220.5008142200102136109167793991791057681710508337.50%5260.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
17Punishers31200000916-72110000089-11010000017-620.333915240010213610916106939917910571012710578112.50%50100.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
18Rampage312000001317-41010000047-321100000910-120.333132235101021361091611793991791057114261447800.00%7185.71%1943183251.47%889178049.94%679139348.74%171997116947401450730
19Reign2110000089-1110000005231010000037-420.5008142200102136109166793991791057663325417228.57%10370.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
20Rocket20200000412-81010000013-21010000039-600.00046101010213610916619399179105764221444600.00%7271.43%0943183251.47%889178049.94%679139348.74%171997116947401450730
21Senators21100000121021100000010461010000026-420.50012193100102136109166293991791057722514446233.33%6433.33%0943183251.47%889178049.94%679139348.74%171997116947401450730
22Sound Tigers614000102132-1130200010812-4312000001320-740.33321335400102136109161939399179105719161671113026.67%311067.74%1943183251.47%889178049.94%679139348.74%171997116947401450730
23Thunderbirds312000001315-2211000007611010000069-320.33313203300102136109169693991791057983220649333.33%10460.00%0943183251.47%889178049.94%679139348.74%171997116947401450730
24Wolfpack32000001171162200000013671000000145-150.83317304700102136109161159399179105711036125911327.27%6266.67%0943183251.47%889178049.94%679139348.74%171997116947401450730
25Wolves93300021373615310001024195402000111317-4110.6113758950010213610916333939917910572829583200471021.28%38781.58%0943183251.47%889178049.94%679139348.74%171997116947401450730
Total803333003833553487401915001411881632540141800242167185-18880.5503555739285010213610916277993991791057269783350316222936221.16%2435676.95%4943183251.47%889178049.94%679139348.74%171997116947401450730
_Since Last GM Reset803333003833553487401915001411881632540141800242167185-18880.5503555739285010213610916277993991791057269783350316222936221.16%2435676.95%4943183251.47%889178049.94%679139348.74%171997116947401450730
_Vs Conference52192400252219235-162611110013011311032681300122106125-19520.5002193525714010213610916180393991791057177052534810411993718.59%1693877.51%3943183251.47%889178049.94%679139348.74%171997116947401450730
_Vs Division214120013175100-251135001204249-71017000113351-18160.38175121196201021361091672793991791057670214192423961414.58%902077.78%1943183251.47%889178049.94%679139348.74%171997116947401450730

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8088L535557392827792697833503162250
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8033330383355348
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4019150141188163
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4014180242167185
Derniers 10 matchs
WLOTWOTL SOWSOL
260020
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2936221.16%2435676.95%4
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
9399179105710213610916
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
943183251.47%889178049.94%679139348.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171997116947401450730


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
1 - 2022-10-273Wolves5Bears6BWXXR1Sommaire du match
4 - 2022-10-3021Bears5Wolves8ALSommaire du match
6 - 2022-11-0133Bears4Wolves3AWXXR1Sommaire du match
7 - 2022-11-0236Bears5Little Stars4AWSommaire du match
10 - 2022-11-0550Wolves6Bears5BLR1Sommaire du match
11 - 2022-11-0657Bears6Eagles3AWSommaire du match
14 - 2022-11-0975Wolves3Bears4BWR1Sommaire du match
16 - 2022-11-1182Bears4Penguins2AWSommaire du match
19 - 2022-11-14102Devils3Bears2BLXSommaire du match
22 - 2022-11-17116Bears3Sound Tigers8ALR1Sommaire du match
23 - 2022-11-18127Comets2Bears4BWSommaire du match
25 - 2022-11-20138Bears4Rampage7ALSommaire du match
27 - 2022-11-22147Bears2Devils4ALSommaire du match
29 - 2022-11-24155Sound Tigers5Bears2BLR1Sommaire du match
32 - 2022-11-27173Bears1Penguins3ALSommaire du match
34 - 2022-11-29181Thunderbirds5Bears4BLSommaire du match
37 - 2022-12-02195Bears3Sound Tigers6ALR1Sommaire du match
39 - 2022-12-04206Bears5Griffins6ALXSommaire du match
40 - 2022-12-05211Sound Tigers2Bears3BWXXR1Sommaire du match
44 - 2022-12-09227Bears3Crunch5ALSommaire du match
45 - 2022-12-10234Thunderbirds1Bears3BWSommaire du match
50 - 2022-12-15258Senators4Bears10BWSommaire du match
52 - 2022-12-17267Bears3Reign7ALSommaire du match
54 - 2022-12-19275Bears4Phantoms2AWSommaire du match
55 - 2022-12-20286Wolves1Bears3BWR1Sommaire du match
58 - 2022-12-23296Bears1Wolves2ALSommaire du match
61 - 2022-12-26311Sound Tigers5Bears3BLR1Sommaire du match
64 - 2022-12-29325Bears7Icehogs1AWSommaire du match
66 - 2022-12-31338Admirals1Bears4BWSommaire du match
68 - 2023-01-02353Bears3Marlies5ALSommaire du match
70 - 2023-01-04364Rampage7Bears4BLSommaire du match
74 - 2023-01-08381Bears3Barracuda2AWSommaire du match
76 - 2023-01-10390Comets9Bears4BLSommaire du match
78 - 2023-01-12401Bears9Eagles5AWSommaire du match
80 - 2023-01-14414Comets1Bears6BWSommaire du match
82 - 2023-01-16425Bears7Admirals4AWSommaire du match
85 - 2023-01-19437Moose6Bears1BLSommaire du match
87 - 2023-01-21449Bears5Moose4AWXXSommaire du match
89 - 2023-01-23460Bears2Senators6ALSommaire du match
91 - 2023-01-25468Icehogs7Bears6BLXXSommaire du match
93 - 2023-01-27484Bears1Punishers7ALSommaire du match
95 - 2023-01-29494Griffins4Bears3BLSommaire du match
100 - 2023-02-03520Rocket3Bears1BLSommaire du match
102 - 2023-02-05532Bears3Rocket9ALSommaire du match
104 - 2023-02-07539Bears5Griffins4AWXXSommaire du match
105 - 2023-02-08546Eagles2Bears4BWSommaire du match
109 - 2023-02-12569Wolves4Bears6BWR1Sommaire du match
112 - 2023-02-15588Bears1Penguins2ALSommaire du match
114 - 2023-02-17593Bears7Condors3AWSommaire du match
115 - 2023-02-18598Reign2Bears5BWSommaire du match
118 - 2023-02-21616Bears3Heat6ALSommaire du match
120 - 2023-02-23623Monsters1Bears7BWSommaire du match
122 - 2023-02-25632Bears5Rampage3AWSommaire du match
124 - 2023-02-27645Bears7Sound Tigers6AWR1Sommaire du match
125 - 2023-02-28649Penguins3Bears7BWSommaire du match
129 - 2023-03-04670Bears1Devils4ALSommaire du match
130 - 2023-03-05676Icehogs4Bears5BWSommaire du match
134 - 2023-03-09700Marlies4Bears8BWSommaire du match
137 - 2023-03-12718Bears4Wolfpack5ALXXSommaire du match
139 - 2023-03-14727Barracuda3Bears6BWSommaire du match
141 - 2023-03-16740Bears4Monsters1AWSommaire du match
144 - 2023-03-19752Punishers5Bears6BWSommaire du match
147 - 2023-03-22768Bears4Devils6ALSommaire du match
149 - 2023-03-24779Punishers4Bears2BLSommaire du match
151 - 2023-03-26784Bears3Wolves4ALXXR1Sommaire du match
153 - 2023-03-28802Bears5Little Stars3AWSommaire du match
155 - 2023-03-30806Heat2Bears9BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
160 - 2023-04-04832Little Stars6Bears7BWXXSommaire du match
163 - 2023-04-07844Bears5Comets6ALXSommaire du match
166 - 2023-04-10858Wolfpack3Bears5BWSommaire du match
170 - 2023-04-14883Phantoms7Bears4BLSommaire du match
175 - 2023-04-19904Bears8Eagles5AWSommaire du match
176 - 2023-04-20910Wolfpack3Bears8BWSommaire du match
181 - 2023-04-25934Condors5Bears6BWXXSommaire du match
184 - 2023-04-28951Bears6Little Stars5AWXXSommaire du match
185 - 2023-04-29958Crunch6Bears4BLSommaire du match
192 - 2023-05-06983Crunch4Bears3BLSommaire du match
196 - 2023-05-101004Devils8Bears3BLSommaire du match
200 - 2023-05-141016Bears6Thunderbirds9ALSommaire du match
204 - 2023-05-181033Devils7Bears5BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,39637,533
Assistance PCT93.00%93.83%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2798 - 93.27% 83,130$3,325,198$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,903,156$ 2,379,500$ 1,887,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,551$ 2,345,893$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 14,221$ 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

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