Connexion

BANGOR BEAGLES
GP: 17 | W: 10 | L: 7
GF: 62 | GA: 66 | PP%: 7.89% | PK%: 87.50%
DG: Clint T | Morale : 99 | Moyenne d’équipe : 81
Prochains matchs #93 vs LAS CRUCES SPURS
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Centre de jeu
BANGOR BEAGLES
10-7-0, 20pts
1
FINAL
7 LAS CRUCES SPURS
10-6-0, 20pts
Team Stats
W1SéquenceL1
4-5-0Fiche domicile5-3-0
6-2-0Fiche visiteur5-3-0
6-4-0Derniers 10 matchs6-3-1
3.65Buts par match 4.81
3.88Buts contre par match 3.25
7.89%Pourcentage en avantage numérique30.00%
87.50%Pourcentage en désavantage numérique84.62%
BANGOR BEAGLES
10-7-0, 20pts
2
FINAL
1 LAS CRUCES SPURS
10-6-0, 20pts
Team Stats
W1SéquenceL1
4-5-0Fiche domicile5-3-0
6-2-0Fiche visiteur5-3-0
6-4-0Derniers 10 matchs6-3-1
3.65Buts par match 4.81
3.88Buts contre par match 3.25
7.89%Pourcentage en avantage numérique30.00%
87.50%Pourcentage en désavantage numérique84.62%
LAS CRUCES SPURS
10-6-0, 20pts
Jour 37
BANGOR BEAGLES
10-7-0, 20pts
Statistiques d’équipe
L1SéquenceW1
5-3-0Fiche domicile4-5-0
5-3-0Fiche visiteur6-2-0
6-3-110 derniers matchs6-4-0
4.81Buts par match 3.65
3.25Buts contre par match 3.65
30.00%Pourcentage en avantage numérique7.89%
84.62%Pourcentage en désavantage numérique87.50%
BANGOR BEAGLES
10-7-0, 20pts
Jour 39
LAS CRUCES SPURS
10-6-0, 20pts
Statistiques d’équipe
W1SéquenceL1
4-5-0Fiche domicile5-3-0
6-2-0Fiche visiteur5-3-0
6-4-010 derniers matchs6-3-1
3.65Buts par match 4.81
3.88Buts contre par match 4.81
7.89%Pourcentage en avantage numérique30.00%
87.50%Pourcentage en désavantage numérique84.62%
LAS CRUCES SPURS
10-6-0, 20pts
Jour 41
BANGOR BEAGLES
10-7-0, 20pts
Statistiques d’équipe
L1SéquenceW1
5-3-0Fiche domicile4-5-0
5-3-0Fiche visiteur6-2-0
6-3-110 derniers matchs6-4-0
4.81Buts par match 3.65
3.25Buts contre par match 3.65
30.00%Pourcentage en avantage numérique7.89%
84.62%Pourcentage en désavantage numérique87.50%
Meneurs d'équipe
Buts
Filip Forsberg
8
Passes
Matt Duchene
18
Points
Matt Duchene
24
Plus/Moins
Zach Werenski
8
Victoires
Mackenzie Blackwood
6
Pourcentage d’arrêts
Mackenzie Blackwood
0.874

Statistiques d’équipe
Buts pour
62
3.65 GFG
Tirs pour
535
31.47 Avg
Pourcentage en avantage numérique
7.9%
3 GF
Début de zone offensive
37.3%
Buts contre
66
3.88 GAA
Tirs contre
515
30.29 Avg
Pourcentage en désavantage numérique
87.5%%
4 GA
Début de la zone défensive
35.2%
Informations de l'équipe

Directeur généralClint T
EntraîneurTodd McLellan
DivisionAdams
ConférenceNeid Conference
CapitaineAlex Ovechkin
Assistant #1Evgeni Malkin
Assistant #2Filip Forsberg


Informations de l’aréna

NomDog Pound
Capacité18,000
Assistance18,000
Billets de saison7,200


Informations de la formation

Équipe Pro23
Équipe Mineure32
Limite contact 55 / 66
Espoirs0


Plafond salarial Non Activé

Cap Salarial de la Saison estimé0$
Plafond salarial disponible45,000,000$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour11,430,000$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées0$
Compte bancaire actuel388,910,644$
Compte bancaire projeté388,910,644$


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
1Evgeni Malkin (A)XXX100.00711998278969699759999968099990848923732,420,000$
2Filip Forsberg (A)XXX100.00658948889999599779999806898990838822962,310,350$
3Alex Ovechkin (C)XX100.005917998389918999349691868899990848623862,736,300$
4Matt DucheneXXX100.00131998677999699929999777599940848503343,395,490$
5Sam ReinhartXX100.00439898486959499759595726995960848422831,950,000$
6Denis GurianovXX100.0037597899192978944909072559498084821261675,000$
7Jordan KyrouXXX100.00121582939495959166948954619394084812252700,000$
8Jeff SkinnerXXX100.00244997375908491599583956799970848123162,126,993$
9Pavel BuchnevichXX100.00644069817796959038878268599284082792281550,000$
10Kaapo Kakko (R)X100.0038199859394958557897268598896084781235750,000$
11Tyler SeguinXX100.0021996875868699788780737599930847723252,292,000$
12Roope HintzXX100.004714817578969285548378636084710837522741,312,500$
13Keith YandleX100.005821998387959599509990976499990608623731,525,000$
14Zach WerenskiX100.00552999994999599449995725699990848612652,053,750$
15Jonathan BlumX100.00151998880888099409998816299980828103521,159,375$
16P.K. SubbanX100.009449786078998492509280866099990838103421,325,000$
17Ryan McDonaghX100.00241995779828492509375855894870847403431,957,500$
18Derrick Pouliot X100.00422970677384907030705590528680083732301937,500$
Rayé
1Vladislav NamestnikovXX100.007761496774809082568276715988970217423121,193,400$
2Tyler JohnsonX100.008165466572797780738075756894860217323321,176,000$
3Shayne GostisbehereX100.009067207884839693399365734790810627822951,500,000$
Équipe Mineure
1J.T. MillerXXX100.00929217597985789263918181559190060772311918,750$
2Dylan Cozens (R)XX100.00332981928989927859857662728990057761235775,000$
3Evgeny DadonovXX100.00181996572777994548687786599930427603511,395,960$
4Nikita FilatovX100.00125996176788091248590757699980587503311,257,000$
5Anton Lundell (R)XX100.0040176858495947664747275607879055731221750,000$
6Emil Bemström (R)X100.00471378848487887368676154548968058682242780,000$
7Ondrej KaseXX100.00543370697486846535666662618976058662283851,000$
8Miles WoodX100.00855661767474786461605664568686051662283840,000$
9Zach Ostapchuk (R)X100.00524182818373836163606164665866061642212700,000$
10Nikita Alexandrov (R)X100.00411278798465636466655854586062058622223500,000$
11Matthew Savoie (R)X100.0027194686669706555636259666870036611203900,000$
12Logan Stankoven (R)X100.00596454697266746559585653526257058602202700,000$
13Victor Söderström (R)X100.0010199878488907344776073488081058711235750,000$
14Ty Smith (R)X100.0010197858894947025876161458980058712244750,000$
15Jamie Drysdale (R)X100.00451174878989827140686263557767059691221750,000$
16Ville HeinolaX100.0043192808279776739785862448277040671235750,000$
17William Wallinder (R)X100.00422877838579845744555562457574059662211650,000$
18Colby RobakX100.00534568588149745450543981489492045640341500,000$
19Dmitrij JaskinX100.00999446680827782388786875482830437623141,065,000$
20Filip Bystedt (R)X100.00463367707067726267586062646965020611203800,000$
21Jesse Ylönen (R)X100.0032198738376675039645756557971019602242600,000$
22Benoit-Olivier Groulx (R)X100.00765075657658606358606152676762020602241650,000$
23Samu Salminen (R)X100.0013299727463646254605862485652020582202550,000$
24Alex Beaucage (R)X100.00321878707362656245595557555565020582222600,000$
25Jonatan Berggren (R)XX100.0012685667454705945555361586767019572233700,000$
26Kyle CapobiancoX100.00574971717968746344645362447274036642262781,000$
27Alec Regula (R)X100.00532864657665705433545267438960020622241715,000$
28Jack Thompson (R)X100.00504488657267626444535660456258020592212600,000$
MOYENNE D’ÉQUIPE100.0046247976808283785278727059858205772
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
1Leland Irving100.00679489757797989599827899990838713521,290,938$
2Mackenzie Blackwood100.00759697868988888983807598920838612761,950,000$
Rayé
Équipe Mineure
1Scott Wedgewood100.0061657080707881867267589379076742314750,000$
2Devon Levi (R)100.0064585975635756545654586559040592221500,000$
3Sebastian Cossa (R)100.0064646584716569687165626669047681212800,000$
4Michael Hutchinson100.0064727080716263646160649979020670341780,000$
MOYENNE D’ÉQUIPE100.006675758074757676746866878005874
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan93998889999932CAN5131,100,000$


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
1Matt DucheneBANGOR BEAGLESC/LW/RW176182422072754173211.11%1433419.691013310001121157.34%35435001.4300000024
2Filip ForsbergBANGOR BEAGLESC/LW/RW1781018020461746143717.39%734020.051122300000191050.00%22105011.0600000121
3Jordan KyrouBANGOR BEAGLESC/LW/RW17611171806744173013.64%229017.07011232000002058.25%10374001.1700000110
4Sam ReinhartBANGOR BEAGLESC/RW175813-960181549203710.20%832018.86011138000021056.52%23128000.8100000010
5Denis GurianovBANGOR BEAGLESLW/RW17741112071133102421.21%722413.2000000101111033.33%1282000.9800000101
6Alex OvechkinBANGOR BEAGLESLW/RW176511-720251750222212.00%433119.50011338011091028.00%25148000.6600000012
7Kaapo KakkoBANGOR BEAGLESRW172810420573111136.45%01549.10000110000001033.33%360001.2900000101
8Jonathan BlumBANGOR BEAGLESD173710-4203202371313.04%2040023.5710114300008000%0913000.5000000000
9Keith YandleBANGOR BEAGLESD173583202228256512.00%2942124.80011126000033010%049000.3800000200
10Jeff SkinnerBANGOR BEAGLESC/LW/RW174482004122882614.29%823113.63000040002340052.38%6304000.6900000000
11Zach WerenskiBANGOR BEAGLESD1716784023173010173.33%839723.4100054400002000%086000.3500000000
12Evgeni MalkinBANGOR BEAGLESC/LW/RW17347-100038334515236.67%934520.310005250000351050.70%359813000.4100000010
13Tyler SeguinBANGOR BEAGLESC/RW17426300091471128.57%11398.2200000000001068.00%5003000.8600000020
14P.K. SubbanBANGOR BEAGLESD17156-6120271911379.09%2032919.40011026000017000%0110000.3600000000
15Pavel BuchnevichBANGOR BEAGLESLW/RW172352100317245138.33%219011.200000000000000%342000.5300000100
16Derrick Pouliot BANGOR BEAGLESD17033-3155151610130%1425414.9500000000018000%008000.2400001000
17Roope HintzBANGOR BEAGLESC/LW17123300146107510.00%11418.3500001000000050.00%202000.4200000100
18Ryan McDonaghBANGOR BEAGLESD17000-6004278340%1026715.7400010000035000%02700000000000
Statistiques d’équipe totales ou en moyenne30662105167-1669529529553518332211.59%164511716.7236925356112423110253.88%101996109010.65000018109
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
1Mackenzie BlackwoodBANGOR BEAGLES126200.8744.005250035277123200089101
2Leland IrvingBANGOR BEAGLES114410.8703.665080031238100100098100
Statistiques d’équipe totales ou en moyenne2310610.8723.83103400665152233001717201


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 Type Salaire actuel Salaire restantSalaire moyenSalaire moyen 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
Alex OvechkinBANGOR BEAGLESLW/RW389/17/1985No244 Lbs6 ft2NoNoN/ANoNo63/16/2024Pro Only2,736,300$390,900$2,736,300$390,900$No2,736,300$2,736,300$2,736,300$2,736,300$2,736,300$----NoNoNoNoNo----Lien NHL
Denis GurianovBANGOR BEAGLESLW/RW266/7/1997 2:21:26 AMNo219 Lbs6 ft6NoNoN/ANoNo1Pro Only675,000$96,429$40,000$5,714$675,000$96,429$No------------------
Derrick Pouliot BANGOR BEAGLESD301/16/1994 3:36:47 AMNo192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm937,500$133,929$40,000$5,714$937,500$133,929$No------------------
Evgeni MalkinBANGOR BEAGLESC/LW/RW377/31/1986No211 Lbs6 ft3NoNoN/ANoNo3Pro Only2,420,000$345,714$2,420,000$345,714$No2,420,000$2,420,000$-------NoNo-------Lien NHL
Filip ForsbergBANGOR BEAGLESC/LW/RW298/13/1994 3:45:38 AMNo219 Lbs6 ft4NoNoN/ANoNo63/16/2024Pro Only2,310,350$330,050$40,000$5,714$2,310,350$330,050$No2,310,350$2,310,350$2,310,350$2,310,350$2,310,350$----NoNoNoNoNo----
Jeff SkinnerBANGOR BEAGLESC/LW/RW315/16/1992No212 Lbs5 ft11NoNoN/ANoNo63/16/2024Pro Only2,126,993$303,856$2,126,993$303,856$No2,126,993$2,126,993$2,126,993$2,126,993$2,126,993$----NoNoNoNoNo----
Jonathan BlumBANGOR BEAGLESD351/30/1989No198 Lbs6 ft1NoNoN/ANoNo2Pro Only1,159,375$165,625$1,159,375$165,625$No1,159,375$--------No--------
Jordan KyrouBANGOR BEAGLESC/LW/RW255/5/1998 9:25:56 AMNo213 Lbs6 ft1NoNoN/ANoNo2Pro Only700,000$100,000$40,000$5,714$700,000$100,000$No700,000$--------No--------
Kaapo KakkoBANGOR BEAGLESRW232/11/2001 2:54:03 AMYes209 Lbs6 ft4NoNoN/ANoNo5Pro & Farm750,000$107,143$40,000$5,714$750,000$107,143$No750,000$750,000$750,000$750,000$-----NoNoNoNo-----
Keith YandleBANGOR BEAGLESD379/9/1986No209 Lbs6 ft1NoNoTrade3/4/2024NoNo3Pro Only1,525,000$217,857$40,000$5,714$1,525,000$217,857$No1,525,000$1,525,000$-------NoNo-------
Leland IrvingBANGOR BEAGLESG3512/11/1988No193 Lbs6 ft0NoNoN/ANoNo2Pro Only1,290,938$184,420$1,290,938$184,420$No1,290,938$--------No--------
Mackenzie BlackwoodBANGOR BEAGLESG2712/9/1996 4:15:49 AMNo235 Lbs6 ft6NoNoN/ANoNo63/16/2024Pro Only1,950,000$278,571$40,000$5,714$1,950,000$278,571$No1,950,000$1,950,000$1,950,000$1,950,000$1,950,000$----NoNoNoNoNo----
Matt DucheneBANGOR BEAGLESC/LW/RW331/16/1991No222 Lbs5 ft11NoNoN/ANoNo4Pro Only3,395,490$485,070$3,395,490$485,070$No3,395,490$3,395,490$3,395,490$------NoNoNo------
P.K. SubbanBANGOR BEAGLESD345/13/1989No224 Lbs6 ft0NoNoN/ANoNo2Pro Only1,325,000$189,286$1,325,000$189,286$No1,325,000$--------No--------
Pavel BuchnevichBANGOR BEAGLESLW/RW286/22/1995 7:38:09 AMNo205 Lbs6 ft2NoNoN/ANoNo1Pro Only550,000$78,571$40,000$5,714$550,000$78,571$No------------------
Roope HintzBANGOR BEAGLESC/LW2711/17/1996 4:51:33 AMNo207 Lbs6 ft6NoNoN/ANoNo4Pro & Farm1,312,500$187,500$40,000$5,714$1,312,500$187,500$No1,312,500$1,312,500$1,312,500$------NoNoNo------
Ryan McDonaghBANGOR BEAGLESD346/13/1989No228 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,957,500$279,643$40,000$5,714$1,957,500$279,643$No1,957,500$1,957,500$-------NoNo-------
Sam ReinhartBANGOR BEAGLESC/RW2811/6/1995 1:23:41 AMNo206 Lbs6 ft5NoNoN/ANoNo3Pro Only1,950,000$278,571$40,000$5,714$1,950,000$278,571$No1,950,000$1,950,000$-------NoNo-------
Shayne GostisbehereBANGOR BEAGLESD299/12/1994 7:25:36 AMNo242 Lbs6 ft4NoNoN/ANoNo5Pro & Farm1,500,000$214,286$40,000$5,714$1,500,000$214,286$No1,500,000$1,500,000$1,500,000$1,500,000$-----NoNoNoNo-----Lien NHL
Tyler JohnsonBANGOR BEAGLESC337/29/1990 2:33:00 AMNo193 Lbs5 ft9NoNoN/ANoNo2Pro Only1,176,000$168,000$40,000$5,714$1,176,000$168,000$No1,176,000$--------No--------
Tyler SeguinBANGOR BEAGLESC/RW321/31/1992No204 Lbs6 ft1NoNoN/ANoNo5Pro Only2,292,000$327,429$40,000$5,714$2,292,000$327,429$No2,292,000$2,292,000$2,292,000$2,292,000$-----NoNoNoNo-----
Vladislav NamestnikovBANGOR BEAGLESC/LW3111/22/1992 12:56:01 PMNo194 Lbs6 ft0NoNoN/ANoNo2Pro Only1,193,400$170,486$40,000$5,714$1,193,400$170,486$No1,193,400$--------No--------
Zach WerenskiBANGOR BEAGLESD266/19/1997 2:09:45 AMNo232 Lbs6 ft4NoNoN/ANoNo5Pro Only2,053,750$293,393$40,000$5,714$2,053,750$293,393$No2,053,750$2,053,750$2,053,750$2,053,750$-----NoNoNoNo-----
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2330.78214 Lbs6 ft23.431,621,178$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
37,287,096$35,124,596$28,279,883$20,427,383$15,719,393$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex OvechkinMatt DucheneSam Reinhart35122
2Filip ForsbergEvgeni MalkinJordan Kyrou35122
3Denis GurianovJeff SkinnerPavel Buchnevich20122
4Roope HintzTyler SeguinKaapo Kakko10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiKeith Yandle40122
2P.K. SubbanJonathan Blum30122
3Derrick Pouliot Ryan McDonagh20122
4Jonathan BlumKeith Yandle10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ForsbergMatt DucheneJordan Kyrou60113
2Alex OvechkinEvgeni MalkinSam Reinhart40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiJonathan Blum60113
2Keith YandleP.K. Subban40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Evgeni MalkinJeff Skinner60122
2Matt DucheneFilip Forsberg40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan McDonaghKeith Yandle60122
2Derrick Pouliot P.K. Subban40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Evgeni Malkin60122Ryan McDonaghDerrick Pouliot 60122
2Jeff Skinner40122Keith YandleP.K. Subban40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip ForsbergEvgeni Malkin60122
2Matt DucheneSam Reinhart40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WerenskiRyan McDonagh60122
2P.K. SubbanKeith Yandle40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip ForsbergEvgeni MalkinAlex OvechkinZach WerenskiJonathan Blum
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evgeni MalkinMatt DucheneAlex OvechkinP.K. SubbanKeith Yandle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Duchene, Jeff Skinner, Filip ForsbergJeff Skinner, Denis GurianovAlex Ovechkin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Blum, Ryan McDonagh, Zach WerenskiRyan McDonaghJonathan Blum, Zach Werenski
Tirs de pénalité
Alex Ovechkin, Evgeni Malkin, Matt Duchene, Tyler Seguin, Sam Reinhart
Gardien
#1 : Mackenzie Blackwood, #2 : Leland Irving
Lignes d’attaque personnalisées en prolongation
Matt Duchene, Alex Ovechkin, Filip Forsberg, Evgeni Malkin, Sam Reinhart, Denis Gurianov, Denis Gurianov, Jeff Skinner, Jordan Kyrou, Kaapo Kakko, Roope Hintz
Lignes de défense personnalisées en prolongation
Zach Werenski, Jonathan Blum, Keith Yandle, P.K. Subban, Ryan McDonagh


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
1LAS CRUCES SPURS42200000617-112110000039-62110000038-540.5006111700321013244464201384210806116.67%5260.00%020238053.16%19935955.43%14828052.86%865489326431
2PENSACOLA BADGERS743000002225-3422000001313032100000912-380.5712235570069702167283501119058271222613.85%11190.91%020238053.16%19935955.43%14828052.86%1711051436012063
3PHILADELPHIA MADMEN64200000342410312000009903300000025151080.6673459930081412018768526701876432936116.67%16193.75%120238053.16%19935955.43%14828052.86%13081130509848
Total17107000006266-4945000002531-68620000037352200.5886210516700172520053518418115911515164692953837.89%32487.50%120238053.16%19935955.43%14828052.86%388241363143283143
_Since Last GM Reset17107000006266-4945000002531-68620000037352200.5886210516700172520053518418115911515164692953837.89%32487.50%120238053.16%19935955.43%14828052.86%388241363143283143
_Vs Conference17107000006266-4945000002531-68620000037352200.5886210516700172520053518418115911515164692953837.89%32487.50%120238053.16%19935955.43%14828052.86%388241363143283143
_Vs Division17107000006266-4945000002531-68620000037352200.5886210516700172520053518418115911515164692953837.89%32487.50%120238053.16%19935955.43%14828052.86%388241363143283143

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1720W1621051675355151646929500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1710700006266
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
94500002531
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
86200003735
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3837.89%32487.50%1
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
184181159111725200
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
20238053.16%19935955.43%14828052.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
388241363143283143


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
11PENSACOLA BADGERS6BANGOR BEAGLES5BLXSommaire du match
39PENSACOLA BADGERS1BANGOR BEAGLES4BWSommaire du match
517BANGOR BEAGLES4PENSACOLA BADGERS2AWSommaire du match
725BANGOR BEAGLES1PENSACOLA BADGERS7ALSommaire du match
933PENSACOLA BADGERS5BANGOR BEAGLES2BLSommaire du match
1141BANGOR BEAGLES4PENSACOLA BADGERS3AWSommaire du match
1349PENSACOLA BADGERS1BANGOR BEAGLES2BWSommaire du match
1557PHILADELPHIA MADMEN2BANGOR BEAGLES1BLSommaire du match
1761PHILADELPHIA MADMEN5BANGOR BEAGLES4BLSommaire du match
1965BANGOR BEAGLES10PHILADELPHIA MADMEN6AWSommaire du match
2169BANGOR BEAGLES7PHILADELPHIA MADMEN3AWSommaire du match
2373PHILADELPHIA MADMEN2BANGOR BEAGLES4BWSommaire du match
2577BANGOR BEAGLES8PHILADELPHIA MADMEN6AWSommaire du match
2985LAS CRUCES SPURS7BANGOR BEAGLES0BLSommaire du match
3187LAS CRUCES SPURS2BANGOR BEAGLES3BWSommaire du match
3389BANGOR BEAGLES1LAS CRUCES SPURS7ALSommaire du match
3591BANGOR BEAGLES2LAS CRUCES SPURS1AWSommaire du match
3793LAS CRUCES SPURS-BANGOR BEAGLES-
3995BANGOR BEAGLES-LAS CRUCES SPURS-
4197LAS CRUCES SPURS-BANGOR BEAGLES-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance54,00045,00018,00036,0009,000
Attendance PCT100.00%100.00%100.00%100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 18000 - 100.00% 1,270,000$11,430,000$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 37,287,096$ 640,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 682,324$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 6 0$ 0$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
0$ 388,910,644$ 388,910,644$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
0$ 45,000,000$ 45,000,000$ -15,000,000$



Charte de profondeur

Ailier gaucheCentreAilier droit
Evgeni MalkinAGE:37PO:0OV:89
Filip ForsbergAGE:29PO:0OV:88
Alex OvechkinAGE:38PO:0OV:86
Matt DucheneAGE:33PO:0OV:85
Denis GurianovAGE:26PO:0OV:82
Jordan KyrouAGE:25PO:0OV:81
Jeff SkinnerAGE:31PO:0OV:81
Pavel BuchnevichAGE:28PO:0OV:79
J.T. MillerAGE:31PO:0OV:77
Evgeny DadonovAGE:35PO:0OV:76
Nikita FilatovAGE:33PO:0OV:75
Roope HintzAGE:27PO:0OV:75
Vladislav NamestnikovAGE:31PO:0OV:74
Anton Lundell (R)AGE:22PO:0OV:73
Ondrej KaseAGE:28PO:0OV:66
Miles WoodAGE:28PO:0OV:66
Jonatan Berggren (R)AGE:23PO:0OV:57
Evgeni MalkinAGE:37PO:0OV:89
Filip ForsbergAGE:29PO:0OV:88
Matt DucheneAGE:33PO:0OV:85
Sam ReinhartAGE:28PO:0OV:84
Jordan KyrouAGE:25PO:0OV:81
Jeff SkinnerAGE:31PO:0OV:81
Tyler SeguinAGE:32PO:0OV:77
J.T. MillerAGE:31PO:0OV:77
Dylan Cozens (R)AGE:23PO:0OV:76
Roope HintzAGE:27PO:0OV:75
Vladislav NamestnikovAGE:31PO:0OV:74
Tyler JohnsonAGE:33PO:0OV:73
Anton Lundell (R)AGE:22PO:0OV:73
Emil Bemström (R)AGE:24PO:0OV:68
Zach Ostapchuk (R)AGE:21PO:0OV:64
Nikita Alexandrov (R)AGE:22PO:0OV:62
Matthew Savoie (R)AGE:20PO:0OV:61
Filip Bystedt (R)AGE:20PO:0OV:61
Logan Stankoven (R)AGE:20PO:0OV:60
Benoit-Olivier Groulx (R)AGE:24PO:0OV:60
Samu Salminen (R)AGE:20PO:0OV:58
Evgeni MalkinAGE:37PO:0OV:89
Filip ForsbergAGE:29PO:0OV:88
Alex OvechkinAGE:38PO:0OV:86
Matt DucheneAGE:33PO:0OV:85
Sam ReinhartAGE:28PO:0OV:84
Denis GurianovAGE:26PO:0OV:82
Jordan KyrouAGE:25PO:0OV:81
Jeff SkinnerAGE:31PO:0OV:81
Pavel BuchnevichAGE:28PO:0OV:79
Kaapo Kakko (R)AGE:23PO:0OV:78
Tyler SeguinAGE:32PO:0OV:77
J.T. MillerAGE:31PO:0OV:77
Dylan Cozens (R)AGE:23PO:0OV:76
Evgeny DadonovAGE:35PO:0OV:76
Dmitrij JaskinAGE:31PO:0OV:76
Ondrej KaseAGE:28PO:0OV:66
Jesse Ylönen (R)AGE:24PO:0OV:60
Alex Beaucage (R)AGE:22PO:0OV:58
Jonatan Berggren (R)AGE:23PO:0OV:57

Défense #1Défense #2Gardien
Keith YandleAGE:37PO:0OV:86
Zach WerenskiAGE:26PO:0OV:86
Jonathan BlumAGE:35PO:0OV:81
P.K. SubbanAGE:34PO:0OV:81
Shayne GostisbehereAGE:29PO:0OV:78
Ryan McDonaghAGE:34PO:0OV:74
Derrick Pouliot AGE:30PO:0OV:73
Victor Söderström (R)AGE:23PO:0OV:71
Ty Smith (R)AGE:24PO:0OV:71
Jamie Drysdale (R)AGE:22PO:0OV:69
Ville HeinolaAGE:23PO:0OV:67
William Wallinder (R)AGE:21PO:0OV:66
Colby RobakAGE:34PO:0OV:64
Kyle CapobiancoAGE:26PO:0OV:64
Alec Regula (R)AGE:24PO:0OV:62
Jack Thompson (R)AGE:21PO:0OV:59
Leland IrvingAGE:35PO:0OV:87
Mackenzie BlackwoodAGE:27PO:0OV:86
Scott WedgewoodAGE:31PO:0OV:74
Sebastian Cossa (R)AGE:21PO:0OV:68
Michael HutchinsonAGE:34PO:0OV:67
Devon Levi (R)AGE:22PO:0OV:59

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien

Choix au repêchage

Année R1R2R3R4R5
13
14
15
16
17
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


BANGOR BEAGLES Historique de transactions

[4/12/2024 11:52:04 AM] - BANGOR PUPPIES didn't make playoff for year 12.
[3/4/2024 7:58:33 AM] - TRADE : From BANGOR BEAGLES to CHICAGO CRUSHERS : Matt Taormina (71), Seamus Casey (59), Ryder Korczak (58).
[3/4/2024 7:58:33 AM] - TRADE : From CHICAGO CRUSHERS to BANGOR BEAGLES : Colby Robak (64), Keith Yandle (86).
[7/21/2023 9:32:18 AM] - Jonatan Berggren was added to BANGOR BEAGLES.
[7/19/2023 6:44:53 AM] - Seamus Casey was added to BANGOR BEAGLES.
[7/19/2023 6:44:27 AM] - Filip Bystedt was added to BANGOR BEAGLES.
[7/17/2023 9:29:48 AM] - Matthew Savoie was added to BANGOR BEAGLES.
[7/6/2023 9:32:30 AM] - Kristian Vesalainen was released.
[7/6/2023 9:32:30 AM] - BANGOR BEAGLES paid $0 to release Kristian Vesalainen.
[7/6/2023 9:32:23 AM] - Colby Robak was released.
[7/6/2023 9:32:23 AM] - BANGOR BEAGLES paid $0 to release Colby Robak.
[6/29/2023 2:39:52 PM] - Miikka Salomaki was released.
[6/29/2023 2:39:52 PM] - BANGOR BEAGLES paid $0 to release Miikka Salomaki.
[4/27/2023 8:48:54 AM] - BANGOR PUPPIES was eliminated at round 1 of year 11.



[5/1/2024 6:09:16 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:199.214.218.2 .
[5/1/2024 6:09:03 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:199.214.218.2 .
[4/30/2024 8:25:36 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:209.87.25.65 .
[4/30/2024 8:25:21 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:209.87.25.65 .
[4/28/2024 7:11:22 AM] Last 7 Days Pro Star : 1 - Matthew Tkachuk of EDMONTON BUSCHWACKERS (5-4-9) / 2 - Auston Matthews of EDMONTON BUSCHWACKERS (2-5-7) / 3 - Filip Forsberg of BANGOR BEAGLES (3-3-6)
[4/27/2024 6:30:53 AM] Pro Game #77 - Filip Forsberg from BANGOR BEAGLES has scored a Hat Trick!
[4/24/2024 5:19:54 AM] Last 7 Days Pro Star : 1 - Artem Anisimov of DETROIT RED WINGS (5-5-10) / 2 - Denis Gurianov of BANGOR BEAGLES (4-3-7) / 3 - Sean Couturier of LAS CRUCES SPURS (5-5-10)
[4/23/2024 9:16:09 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:208.78.42.38 .
[4/23/2024 9:15:56 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:208.78.42.38 .
[4/22/2024 6:31:54 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:174.3.18.80 .
[4/22/2024 6:31:40 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:174.3.18.80 .
[4/19/2024 9:36:49 AM] Dmitrij Jaskin from BANGOR PUPPIES is back from Strained Groin Injury.
[4/18/2024 8:45:40 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:209.87.25.65 .
[4/18/2024 8:45:26 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:209.87.25.65 .
[4/13/2024 8:15:16 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:99.199.62.38 .
[4/13/2024 8:14:55 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:99.199.62.38 .
[4/3/2024 8:41:06 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:174.3.18.80 .
[4/2/2024 8:40:24 AM] Game 893 - Dmitrij Jaskin from BANGOR PUPPIES is injured (Strained Groin) and is out for 1 month.
[4/2/2024 8:40:15 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:99.199.62.38 .
[3/25/2024 7:13:49 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:174.3.18.80 .
[3/19/2024 6:26:58 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:24.70.37.183 .
[3/18/2024 6:02:41 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:24.70.37.183 .
[3/16/2024 7:48:43 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:72.132.176.136 .
[3/15/2024 6:41:57 AM] Ville Heinola from BANGOR PUPPIES is back from Strained Left Elbow Injury.
[3/12/2024 8:05:08 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:108.172.29.85 .
[3/11/2024 8:06:11 AM] Game 780 - Ville Heinola from BANGOR PUPPIES is injured (Strained Left Elbow) and is out for 1 week.
[3/9/2024 7:12:24 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:108.172.29.85 .
[3/9/2024 7:11:59 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:108.172.29.85 .
[3/9/2024 7:11:32 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:108.172.29.85 .
[3/7/2024 8:15:48 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:199.214.218.2 .
[3/6/2024 8:23:35 AM] Last 7 Days Farm Star : 1 - Ryan Donato of BROOKLYN GRINDERS (5-4-9) / 2 - Pyotr Kochetkov of COQUITLAM EXPRESS (0.954) / 3 - Dylan Cozens of BANGOR PUPPIES (4-3-7)
[3/5/2024 6:40:56 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:209.87.25.65 .
[3/4/2024 7:58:33 AM] TRADE : From BANGOR BEAGLES to CHICAGO CRUSHERS : Matt Taormina (71), Seamus Casey (59), Ryder Korczak (58).
[3/4/2024 7:58:33 AM] TRADE : From CHICAGO CRUSHERS to BANGOR BEAGLES : Colby Robak (64), Keith Yandle (86).
[3/4/2024 7:56:50 AM] Successfully loaded BANGOR BEAGLES lines done with Web Base Client and SQLite Database from IP:99.199.16.228 .



Pas de blessure ou de suspension.


BANGOR BEAGLES 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

BANGOR BEAGLES 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

BANGOR BEAGLES 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

BANGOR BEAGLES 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

BANGOR BEAGLES 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