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Bakersfield
GP: 82 | W: 35 | L: 43 | OTL: 4 | P: 74
GF: 307 | GA: 343 | PP%: 19.19% | PK%: 75.37%
DG: David Bourdeau | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Bakersfield
35-43-4, 74pts
4
FINAL
1 Wilkes-Barre/Scranton
38-38-6, 82pts
Team Stats
L1SéquenceL5
19-20-2Fiche domicile19-19-3
16-23-2Fiche domicile19-19-3
4-6-0Derniers 10 matchs3-6-1
3.74Buts par match 3.79
4.18Buts contre par match 4.15
19.19%Pourcentage en avantage numérique20.52%
75.37%Pourcentage en désavantage numérique75.91%
Eagles
46-29-7, 99pts
6
FINAL
4 Bakersfield
35-43-4, 74pts
Team Stats
W1SéquenceL1
23-16-2Fiche domicile19-20-2
23-13-5Fiche domicile16-23-2
3-7-0Derniers 10 matchs4-6-0
3.91Buts par match 3.74
3.90Buts contre par match 4.18
25.75%Pourcentage en avantage numérique19.19%
79.61%Pourcentage en désavantage numérique75.37%
Meneurs d'équipe
Buts
Joshua Leivo
38
Passes
Madison Bowey
56
Points
Madison Bowey
76
Plus/Moins
Keith Aulie
15
Victoires
Corey Crawford
21
Pourcentage d’arrêts
Robin Lehner
0.912

Statistiques d’équipe
Buts pour
307
3.74 GFG
Tirs pour
3576
43.61 Avg
Pourcentage en avantage numérique
19.2%
71 GF
Début de zone offensive
40.4%
Buts contre
343
4.18 GAA
Tirs contre
3752
45.76 Avg
Pourcentage en désavantage numérique
75.4%%
100 GA
Début de la zone défensive
43.3%
Informations de l'équipe

Directeur généralDavid Bourdeau
EntraîneurLuke Richardson
DivisionPacifique
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,303
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure20
Limite contact 41 / 50
Espoirs47


Historique d'équipe

Saison actuelle35-43-4 (74PTS)
Historique111-118-23 (0.440%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)5-5
Coupe Stanley0


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 moyen
1Sam GagnerXXX100.00632391688066856771656758786161285000331500,000$
2Andy AndreoffXX100.00653479658567906698646560705850275000312600,000$
3Kole SherwoodX100.00863770799177876675666661804545585000251800,000$
4Dominic TonatinoXXX100.00783091768268847077687267755758435000282975,000$
5Jujhar KhairaXX98.008647727493768871847071707955544950002711,200,000$
6Vladimir ZharkovXX100.00532595597877946873606759826961255000341950,000$
7Garnet HathawayX98.00884868698873936870706968756663305000303900,000$
8Tyler GraovacXX97.00713682759376867287717266795648455000291875,000$
9Pontus AbergXX100.00602798818173857073696759835857475000281700,000$
10Valentin ZykovXX100.00702792778577817172677061825251585000272850,000$
11John HaydenXX97.00845571779274827067687066765656505000271850,000$
12Madison BoweyX99.00793277868786885651595087775852575000271900,000$
13Keith AulieX100.00675864568567934825484990487164215000332750,000$
14Keith BallardX100.00753853397374925032494686709889145000391500,000$
15Kale Clague (R)X98.00752780838386835051524682764642635000241800,000$
16Grant ClitsomeX100.0063408048816078491474486498167245000371500,000$
Rayé
1Nick FolignoX100.00884586768575856970697169778080215000341500,000$
2Joshua LeivoXX100.00692998778080887671677568856050525000291900,000$
3Morgan Barron (R)XX100.00863590789279887270717272754242715000232500,000$
MOYENNE D’ÉQUIPE99.3274368171857487656463647075625741500
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 moyen
1Robin Lehner100.00657587877782828480807364643650003011,500,000$
2Corey Crawford99.00588492817580798282808589991150003721,100,000$
Rayé
MOYENNE D’ÉQUIPE99.506280908476818183818079778224500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luke Richardson87826981909980CAN5111,500,000$


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
1Madison BoweyBakersfield (EDM)D77205676-2995120107201661569.95%184191624.89814221052940114290010%000100.7900001420
2Joshua LeivoBakersfield (EDM)LW/RW69383674014022833699724210.30%21148821.5713132686262000132285352.53%39600010.9911000443
3Tyler GraovacBakersfield (EDM)C/RW80324072728071131344822069.30%16146018.26420247827421310904154.05%133400010.9901000124
4Dominic TonatinoBakersfield (EDM)C/LW/RW792536611020066106274761939.12%18118014.945611561620000200053.19%84600001.0300000331
5Morgan BarronBakersfield (EDM)LW/RW5521396064356786223631719.42%16126422.99212143820500082023448.17%43600010.9503001227
6Garnet HathawayBakersfield (EDM)RW8220375711871519561228831798.77%17129415.787714481811233682151.75%11400010.8811111341
7John HaydenBakersfield (EDM)C/RW81243054-138020138114261691739.20%17128515.863693512500051072348.83%154200110.8401121142
8Kale ClagueBakersfield (EDM)D77143852-16008372184651127.61%192182223.6751419923000223310300%000000.5700000013
9Valentin ZykovBakersfield (EDM)LW/RW82153146112003255182451368.24%26108213.2013413420001161042.25%7100000.8500000013
10Keith AulieBakersfield (EDM)D81133144158915945515148938.61%187177121.874610752850112279230%000000.5000003203
11Jujhar KhairaBakersfield (EDM)C/LW56102939-3575147129226751634.42%19121121.6439126221810171781054.96%143200000.6423100202
12Pontus AbergBakersfield (EDM)LW/RW82181937-24201070193401389.33%13100412.2411210260001301050.55%9100010.7400000121
13Nick FolignoBakersfield (EDM)C41152136-228076132173431268.67%1193122.7158134315310151323049.80%150600020.7712000321
14Kole SherwoodBakersfield (EDM)RW8292029-106401343211430667.89%337699.38213834000020152.78%3600000.7500000012
15Keith BallardBakersfield (EDM)D6762127-1211401364711239825.36%148151122.56459542490112224110%000000.3600000021
16Samuel BlaisEdmontonLW/RW33917261320564213238886.82%572321.932352310600071103044.16%15400000.7203000110
17Grant ClitsomeBakersfield (EDM)D6831922-571566407325564.11%122103315.2003310420001104000%000000.4300001001
18Vladimir ZharkovBakersfield (EDM)LW/RW6731013-16071328132710.71%244646.9401115000190040.74%2700000.5600000000
19Sam GagnerBakersfield (EDM)C/LW/RW554711-212010343572611.43%113937.16000010000160046.96%41100000.5600000000
20Andy AndreoffBakersfield (EDM)C/LW822911-1522041295312343.77%246307.6910116000050053.94%25400000.3500000000
21Zach Aston-ReeseEdmontonLW/RW5336-32010122462612.50%211823.631125150002211051.43%3500001.0202000100
Statistiques d’équipe totales ou en moyenne1401304549853-3295070158114503580102224938.49%11062335716.677113320484329935813752453321851.35%868500280.73517338283135
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
1Corey CrawfordBakersfield (EDM)51212420.9104.0527878018820980000.50064825522
2Robin LehnerBakersfield (EDM)24101110.9124.03128080869770000.66732124212
3Curtis McElhinneyEdmonton113610.9113.9765000434840000.85771013000
Statistiques d’équipe totales ou en moyenne86344140.9114.0347191603173559000167962734


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 Ballotage forcé Waiver Possible 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 10Lien
Andy AndreoffBakersfield (EDM)C/LW311991-05-17No214 Lbs6 ft1NoNoNoNo2Pro & Farm600,000$3,509$0$0$No600,000$Lien
Corey CrawfordBakersfield (EDM)G371984-12-31 08:59:41No221 Lbs6 ft2NoNoNoNo2Pro & Farm1,100,000$6,433$0$0$No1,100,000$Lien
Dominic TonatinoBakersfield (EDM)C/LW/RW281994-03-09 12:25:16No191 Lbs6 ft2NoNoNoNo2Pro & Farm975,000$5,702$0$0$No975,000$Lien
Garnet HathawayBakersfield (EDM)RW301991-11-23No214 Lbs6 ft2NoNoNoNo3Pro & Farm900,000$5,263$0$0$No900,000$900,000$Lien
Grant ClitsomeBakersfield (EDM)D371985-04-14No223 Lbs6 ft0NoNoNoNo1Pro & Farm500,000$2,924$0$0$No
John HaydenBakersfield (EDM)C/RW271995-02-14 21:29:35No223 Lbs6 ft3NoNoNoNo1Pro & Farm850,000$4,971$0$0$NoLien
Joshua LeivoBakersfield (EDM)LW/RW291993-05-26No195 Lbs6 ft2NoNoNoNo1Pro & Farm900,000$5,263$0$0$NoLien
Jujhar KhairaBakersfield (EDM)C/LW271994-08-13No213 Lbs6 ft4NoNoNoNo1Pro & Farm1,200,000$7,018$0$0$NoLien
Kale ClagueBakersfield (EDM)D241998-06-05 04:28:54Yes177 Lbs6 ft0NoNoNoNo1Pro & Farm800,000$4,678$0$0$NoLien
Keith AulieBakersfield (EDM)D331989-06-11No237 Lbs6 ft6NoNoNoNo2Pro & Farm750,000$4,386$0$0$No750,000$Lien
Keith BallardBakersfield (EDM)D391982-11-26No212 Lbs5 ft11NoNoNoNo1Pro & Farm500,000$2,924$0$0$No
Kole SherwoodBakersfield (EDM)RW251997-01-22No215 Lbs6 ft1NoNoNoNo1Pro & Farm800,000$4,678$0$0$NoLien
Madison BoweyBakersfield (EDM)D271995-04-22No202 Lbs6 ft2NoNoNoNo1Pro & Farm900,000$5,263$0$0$NoLien
Morgan BarronBakersfield (EDM)LW/RW231998-12-02 06:47:35Yes220 Lbs6 ft4NoNoNoNo2Pro & Farm500,000$2,924$0$0$No500,000$
Nick FolignoBakersfield (EDM)C341987-10-31 07:11:14No211 Lbs6 ft0NoNoNoNo1Pro & Farm500,000$2,924$0$0$NoLien
Pontus AbergBakersfield (EDM)LW/RW281993-09-23No197 Lbs6 ft0NoNoNoNo1Pro & Farm700,000$4,094$0$0$NoLien
Robin LehnerBakersfield (EDM)G301991-07-24 07:23:49No250 Lbs6 ft4NoNoNoNo1Pro & Farm1,500,000$8,772$0$0$NoLien
Sam GagnerBakersfield (EDM)C/LW/RW331989-05-10No210 Lbs5 ft11NoNoNoNo1Pro & Farm500,000$2,924$0$0$No
Tyler GraovacBakersfield (EDM)C/RW291993-04-27No216 Lbs6 ft5NoNoNoNo1Pro & Farm875,000$5,117$0$0$NoLien
Valentin ZykovBakersfield (EDM)LW/RW271995-05-15No222 Lbs6 ft0NoNoNoNo2Pro & Farm850,000$4,971$0$0$No850,000$Lien
Vladimir ZharkovBakersfield (EDM)LW/RW341988-01-10No210 Lbs6 ft1NoNoNoNo1Pro & Farm950,000$5,556$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2130.10213 Lbs6 ft21.38816,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jujhar KhairaTyler GraovacJohn Hayden35122
2Valentin ZykovDominic TonatinoGarnet Hathaway30122
3Pontus AbergSam GagnerKole Sherwood30122
4Vladimir ZharkovAndy AndreoffTyler Graovac5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyKale Clague35122
2Keith BallardKeith Aulie30122
3Grant ClitsomeVladimir Zharkov25122
4Madison BoweyKale Clague10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jujhar KhairaTyler GraovacJohn Hayden50122
2Valentin ZykovDominic TonatinoGarnet Hathaway50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyKale Clague50122
2Keith BallardKeith Aulie50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler GraovacJujhar Khaira50122
2John HaydenGarnet Hathaway50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyKale Clague50122
2Keith BallardKeith Aulie50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Graovac50122Madison BoweyKale Clague50122
2Jujhar Khaira50122Keith BallardKeith Aulie50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler GraovacJujhar Khaira50122
2John HaydenGarnet Hathaway50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Madison BoweyKale Clague50122
2Keith BallardKeith Aulie50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jujhar KhairaTyler GraovacJohn HaydenMadison BoweyKale Clague
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jujhar KhairaTyler GraovacJohn HaydenMadison BoweyKale Clague
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pontus Aberg, Kole Sherwood, Sam GagnerPontus Aberg, Kole SherwoodSam Gagner
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Grant Clitsome, Keith Ballard, Keith AulieGrant ClitsomeKeith Ballard, Keith Aulie
Tirs de pénalité
Tyler Graovac, Jujhar Khaira, John Hayden, Garnet Hathaway, Dominic Tonatino
Gardien
#1 : Robin Lehner, #2 : Corey Crawford
Lignes d’attaque personnalisées en prolongation
Tyler Graovac, Jujhar Khaira, John Hayden, Garnet Hathaway, Dominic Tonatino, Valentin Zykov, Valentin Zykov, Pontus Aberg, Kole Sherwood, Sam Gagner, Vladimir Zharkov
Lignes de défense personnalisées en prolongation
Madison Bowey, Kale Clague, Keith Ballard, Keith Aulie, Grant Clitsome


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
1Abbotsford624000002225-3312000001412231200000813-540.3332244660012091891025212101096122761243746710426415.38%29679.31%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
2Bridgeport20200000516-111010000049-51010000017-600.0005813001209189106712101096122761861842261218.33%16662.50%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
3Charlotte2110000056-1110000003121010000025-320.50059140012091891084121010961227618520224710330.00%10280.00%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
4Cleveland2010100058-3100010004311010000015-420.5005914001209189109012101096122761773614351000.00%7357.14%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
5Coachella Valley21100000711-4110000005411010000027-520.50071421001209189109112101096122761912716291417.14%7271.43%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
6Eagles615000001928-9312000001213-130300000715-820.1671933520012091891023112101096122761267727710623417.39%35877.14%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
7Grand Rapids302000101012-21010000034-12010001078-120.333101424001209189101241210109612276113647346710110.00%15193.33%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
8Hartford201010001011-11010000046-21000100065120.500101727001209189109412101096122761782517458337.50%6266.67%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
9Hershey22000000752110000005411100000021141.0007132000120918910901210109612276184291235900.00%60100.00%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
10Iowa421000012416821000001147721100000109150.6252442660012091891020812101096122761190625078211152.38%23386.96%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
11Laval20100001813-51010000026-41000000167-110.250816240012091891094121010961227611223537375120.00%15380.00%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
12Lehigh Valley20101000710-3100010003211010000048-420.500712190012091891075121010961227611032638381100.00%18383.33%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
13Manitoba513000101827-9312000001419-52010001048-440.4001830480012091891022312101096122761244784111023313.04%15753.33%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
14Ontario6510000035221332100000171703300000018513100.8333564990012091891029812101096122761278766010116425.00%30970.00%21878355352.86%1874380349.28%722143250.42%1905127419646431089541
15Providence211000007611010000034-11100000042220.500711180012091891069121010961227618131304113323.08%14564.29%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
16Rochester2010100010100100010005411010000056-120.5001015250012091891010212101096122761981924509444.44%10370.00%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
17Rockford413000001215-32020000068-22110000067-120.250122234001209189101601210109612276116557477616318.75%20575.00%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
18San Diego6410000127243311000011515033000000129390.75027507700120918910266121010961227612737548124301033.33%24579.17%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
19San Jose724010002829-1421010002012830300000817-960.42928497700120918910287121010961227613721088813930413.33%321165.63%11878355352.86%1874380349.28%722143250.42%1905127419646431089541
20Springfield422000001113-22110000068-22110000055040.50011213200120918910165121010961227611836163691616.25%22481.82%21878355352.86%1874380349.28%722143250.42%1905127419646431089541
21Syracuse412001001011-1211000006512010010046-230.375101828001209189102051210109612276115541487922418.18%21671.43%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
22Texas413000001417-32110000077020200000710-320.250142640001209189101501210109612276121360637715320.00%21576.19%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
23Wilkes-Barre/Scranton3120000068-21010000014-32110000054120.33361016001209189101511210109612276112834266721314.29%10190.00%01878355352.86%1874380349.28%722143250.42%1905127419646431089541
Total82284305123307343-3641152004002173174-141132301121134169-35740.451307547854001209189103576121010961227613752111196415803707119.19%40610075.37%51878355352.86%1874380349.28%722143250.42%1905127419646431089541
_Since Last GM Reset82284305123307343-3641152004002173174-141132301121134169-35740.451307547854001209189103576121010961227613752111196415803707119.19%40610075.37%51878355352.86%1874380349.28%722143250.42%1905127419646431089541
_Vs Conference56222901112220227-72912140100213112382710150011089104-15510.45522039961900120918910244512101096122761258376465210632385121.43%2726974.63%51878355352.86%1874380349.28%722143250.42%1905127419646431089541
_Vs Division2714150100111911181477010017160111378000004851-3310.5741192213400012091891011941210109612276112573602794971162319.83%1223372.95%31878355352.86%1874380349.28%722143250.42%1905127419646431089541

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8274L1307547854357637521111964158000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8228435123307343
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4115204002173174
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4113231121134169
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3707119.19%40610075.37%5
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
12101096122761120918910
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
1878355352.86%1874380349.28%722143250.42%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1905127419646431089541


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
14Bakersfield4San Diego3AWSommaire du match
28Bakersfield3Eagles7ALSommaire du match
422San Jose1Bakersfield7BWSommaire du match
639Bakersfield2Abbotsford7ALSommaire du match
847San Jose2Bakersfield4BWSommaire du match
1059Bakersfield4Ontario2AWSommaire du match
1169Manitoba5Bakersfield8BWSommaire du match
1485San Diego1Bakersfield4BWSommaire du match
1592Bakersfield2San Jose8ALSommaire du match
17105Bakersfield1Abbotsford3ALSommaire du match
20118Abbotsford7Bakersfield3BLSommaire du match
22131Bakersfield9Ontario2AWSommaire du match
24141Eagles5Bakersfield2BLSommaire du match
25152Bakersfield3Texas5ALSommaire du match
27165Ontario3Bakersfield5BWSommaire du match
29178Cleveland3Bakersfield4BWXSommaire du match
32193Bakersfield1Rockford5ALSommaire du match
34207Coachella Valley4Bakersfield5BWSommaire du match
36220Bakersfield6Laval7ALXXSommaire du match
38229Hartford6Bakersfield4BLSommaire du match
40244Bakersfield4Manitoba3AWXXSommaire du match
41252Bakersfield4Lehigh Valley8ALSommaire du match
43263Springfield3Bakersfield4BWSommaire du match
45276Lehigh Valley2Bakersfield3BWXSommaire du match
48291Bakersfield2Syracuse3ALSommaire du match
49299Bakersfield6Grand Rapids5AWXXSommaire du match
52311Springfield5Bakersfield2BLSommaire du match
54324Syracuse2Bakersfield4BWSommaire du match
56333Bakersfield4Iowa6ALSommaire du match
58349Iowa6Bakersfield5BLXXSommaire du match
59359Bakersfield2Eagles4ALSommaire du match
61370Bakersfield5Ontario1AWSommaire du match
63379Texas6Bakersfield3BLSommaire du match
65389Bakersfield1Grand Rapids3ALSommaire du match
66401Bakersfield4Texas5ALSommaire du match
68409Wilkes-Barre/Scranton4Bakersfield1BLSommaire du match
71426Bakersfield0Manitoba5ALSommaire du match
72433Syracuse3Bakersfield2BLSommaire du match
74449Texas1Bakersfield4BWSommaire du match
76461Bakersfield2Syracuse3ALXSommaire du match
78472Bakersfield3San Jose5ALSommaire du match
79479Providence4Bakersfield3BLSommaire du match
82497Ontario7Bakersfield8BWSommaire du match
84510Bakersfield2Hershey1AWSommaire du match
86521Abbotsford2Bakersfield9BWSommaire du match
89537Bakersfield3San Jose4ALSommaire du match
90547Grand Rapids4Bakersfield3BLSommaire du match
93564Bridgeport9Bakersfield4BLSommaire du match
95573Bakersfield4Providence2AWSommaire du match
99592Manitoba9Bakersfield2BLSommaire du match
101607Bakersfield6Hartford5AWXSommaire du match
103615Laval6Bakersfield2BLSommaire du match
104625Bakersfield1Wilkes-Barre/Scranton3ALSommaire du match
106639Manitoba5Bakersfield4BLSommaire du match
108651Bakersfield2Springfield4ALSommaire du match
109658Bakersfield2Coachella Valley7ALSommaire du match
110669Rochester4Bakersfield5BWXSommaire du match
113685Bakersfield2Charlotte5ALSommaire du match
115691San Jose4Bakersfield5BWXSommaire du match
117706Abbotsford3Bakersfield2BLSommaire du match
119715Bakersfield5Rochester6ALSommaire du match
120725Bakersfield3Springfield1AWSommaire du match
122736Bakersfield4San Diego3AWSommaire du match
124745San Diego5Bakersfield4BLXXSommaire du match
127763Charlotte1Bakersfield3BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
131781San Diego9Bakersfield7BLSommaire du match
133791Bakersfield4San Diego3AWSommaire du match
136803Bakersfield6Iowa3AWSommaire du match
137812Rockford2Bakersfield1BLSommaire du match
141832Hershey4Bakersfield5BWSommaire du match
142840Bakersfield2Eagles4ALSommaire du match
145853Bakersfield5Abbotsford3AWSommaire du match
146861Iowa1Bakersfield9BWSommaire du match
149881Ontario7Bakersfield4BLSommaire du match
151894San Jose5Bakersfield4BLSommaire du match
152897Bakersfield5Rockford2AWSommaire du match
155912Bakersfield1Cleveland5ALSommaire du match
156919Bakersfield1Bridgeport7ALSommaire du match
159936Rockford6Bakersfield5BLSommaire du match
161947Eagles2Bakersfield6BWSommaire du match
168971Bakersfield4Wilkes-Barre/Scranton1AWSommaire du match
170984Eagles6Bakersfield4BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance63,77130,663
Assistance PCT77.77%74.79%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2303 - 76.78% 135,278$5,546,394$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,112,483$ 1,715,000$ 1,715,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,029$ 1,621,243$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 18,801$ 18,801$




Bakersfield 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
1Boo Nieves22470113183-45015235463810.97%30407118.18203555139224155451.49%00.9015
2J.T. Brown23072101173-11461102928878.12%53403617.5592837142022109440.44%30.8627
3John Quenneville19948120168-40982384206367.55%47433921.81163753166000163247.42%00.7729
4Oscar Fantenberg23250115165-6015025423949610.08%482537623.172731582440004230%00.6100
5Trevor Carrick24436118154-972573912425117.05%394521121.36194059270000321100.00%00.5900

Bakersfield 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
1Justin Pogge62282660.9293.4536528221029380020.71428
2Anders Nilsson48261350.9103.1227664014415920420.66724
3Anton Khudobin642230100.9004.5436718027827800600.3336
4Scott Wedgewood71194350.9023.89396822257262100300

Bakersfield 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
Saison régulière
2082353303533257265-841181402421126126041171901112131139-89025743969642106747111262689886384051276982783914623566217.42%3676682.02%11550312249.65%1503316147.55%614129847.30%1971133119396301060525
2182254501713293368-7541142301012159190-3141112200701134178-446429352281521100929943318108411261090333897109573014173307823.64%3017674.75%31642343647.79%1814374048.50%698148247.10%1857122919916431106545
2182254501713293368-7541142301012159190-3141112200701134178-446429352281521100929943318108411261090333897109573014173307823.64%3017674.75%31642343647.79%1814374048.50%698148247.10%1857122919916431106545
Total Saison régulière24688118014899894948-5412347540954449747423123416405355397474-77239894159124852333427226533987732623093339819210066301428114571109320518.76%116225977.71%1354581020253.50%53201053450.50%2171418451.89%588139685764190232581636
Séries éliminatoires
20624000001523-832100000811-330300000712-541526410045511826254579238756910223417.39%27485.19%010822448.21%11225144.62%4210241.18%150103157467838
Total Séries éliminatoires1055000002931-2431000001192624000001822-41029548300111170338901321160347741151854349.30%501080.00%020939253.32%19742146.79%7915550.97%2311562367813265

Bakersfield 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
1Boo Nieves6358524131421.43%211519.18123200001046.94%01.3900
2J.T. Brown633614383010.00%112721.30112300011035.71%10.9400
3Joseph Blandisi62350218131811.11%212320.57011200000150.00%00.8100
4Hudson Fasching6224-10671612.50%110918.17000000000025.00%00.7300
5Oscar Fantenberg612308571010.00%1713923.3111240000000%00.4300

Bakersfield 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
1Scott Wedgewood21100.8873.891080076200000
2Anders Nilsson41120.9153.23260201416500000