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BANGOR PUPPIES
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Clint T | Morale : 2 | Moyenne d’équipe : 66
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralClint T
EntraîneurGreg Ireland
DivisionAdams
ConférenceNeid Conference
Capitaine
Assistant #1Dylan Cozens
Assistant #2Evgeny Dadonov


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure21
Limite contact 53 / 66
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
1J.T. MillerXXX100.00929217597985789263918181559190055772311918,750$
2Evgeny Dadonov (A)XX100.00181996572777994548687786599930377603511,395,960$
3Nikita FilatovX100.00125996176788091248590757699980537503311,257,000$
4Dylan Cozens (R) (A)XX100.00332981928989927859857662728990052751235775,000$
5Anton Lundell (R)XX100.0040176858495947664747275607879050731221750,000$
6Emil Bemström (R)X100.00471378848487887368676154548968053682242780,000$
7Ondrej KaseXX100.00543370697486846535666662618976053662283851,000$
8Miles WoodX100.00855661767474786461605664568686046652283840,000$
9Zach Ostapchuk (R)X100.00524182818373836163606164665866056642212700,000$
10Nikita Alexandrov (R)X100.00411278798465636466655854586062053622223500,000$
11Matthew Savoie (R)X100.0027194686669706555636259666870031611203900,000$
12Logan Stankoven (R)X100.00596454697266746559585653526257053602202700,000$
13Ty Smith (R)X100.0010197858894947025876161458980053712244750,000$
14Victor Söderström (R)X100.0010199878488907344776073488081053701235750,000$
15Jamie Drysdale (R)X100.00451174878989827140686263557767054691221750,000$
16Ville HeinolaX100.0043192808279776739785862448277035671235750,000$
17William Wallinder (R)X100.00422877838579845744555562457574054662211650,000$
18Colby RobakX100.00534568588149745450543981489492040640331500,000$
Rayé
1Dmitrij JaskinX95.17999446680827782388786875482830437623141,065,000$
2Filip Bystedt (R)X100.00463367707067726267586062646965020611203800,000$
3Jesse Ylönen (R)X100.0032198738376675039645756557971019602242600,000$
4Benoit-Olivier Groulx (R)X100.00765075657658606358606152676762020602241650,000$
5Samu Salminen (R)X100.0013299727463646254605862485652020582202550,000$
6Alex Beaucage (R)X100.00321878707362656245595557555565020582222600,000$
7Jonatan Berggren (R)XX100.0012685667454705945555361586767019572233700,000$
8Kyle CapobiancoX100.00574971717968746344645362447274036642262781,000$
9Alec Regula (R)X100.00532864657665705433545267438960020622241715,000$
10Jack Thompson (R)X100.00504488657267626444535660456258020592212600,000$
MOYENNE D’ÉQUIPE99.8344277673797477684968636556777404066
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
1Scott Wedgewood100.0061657080707881867267589379071742314750,000$
2Devon Levi (R)100.0064585975635756545654586559035592221500,000$
Rayé
1Sebastian Cossa (R)100.0064646584716569687165626669047681212800,000$
2Michael Hutchinson100.0064727080716263646160649979020670341780,000$
MOYENNE D’ÉQUIPE100.006365668069666768656261817204367
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Greg Ireland78789476999950CAN5331,176,000$


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
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


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
Alec RegulaBANGOR PUPPIES (BEA)D246/1/1999 4:15:36 AMYes211 Lbs6 ft1NoNoN/ANoNo1Pro & Farm715,000$357,500$40,000$20,000$71,500$35,750$No------------------
Alex BeaucageBANGOR PUPPIES (BEA)RW226/1/2001 8:35:41 AMYes186 Lbs6 ft2NoNoN/ANoNo2Pro & Farm600,000$300,000$40,000$20,000$60,000$30,000$No600,000$--------No--------
Anton LundellBANGOR PUPPIES (BEA)C/LW2210/3/2001 7:51:34 AMYes190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$375,000$40,000$20,000$75,000$37,500$No------------------
Benoit-Olivier GroulxBANGOR PUPPIES (BEA)C242/6/2000 7:34:37 AMYes202 Lbs6 ft2NoNoN/ANoNo1Pro & Farm650,000$325,000$40,000$20,000$65,000$32,500$No------------------
Colby RobakBANGOR PUPPIES (BEA)D334/24/1990No231 Lbs6 ft3NoNoTrade3/4/2024NoNo1Pro & Farm500,000$250,000$40,000$20,000$50,000$25,000$No------------------
Devon LeviBANGOR PUPPIES (BEA)G2212/27/2001 1:57:15 AMYes190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm500,000$250,000$40,000$20,000$50,000$25,000$No------------------
Dmitrij JaskinBANGOR PUPPIES (BEA)RW313/23/1993 12:58:49 PMNo224 Lbs6 ft3NoNoN/ANoNo4Pro & Farm1,065,000$532,500$40,000$20,000$106,500$53,250$No1,065,000$1,065,000$1,065,000$------NoNoNo------
Dylan CozensBANGOR PUPPIES (BEA)C/RW232/9/2001 3:09:30 AMYes191 Lbs6 ft5NoNoN/ANoNo53/6/2024Pro & Farm775,000$387,500$40,000$20,000$77,500$38,750$No775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Emil BemströmBANGOR PUPPIES (BEA)C246/1/1999 9:47:34 AMYes193 Lbs6 ft2NoNoN/ANoNo2Pro & Farm780,000$390,000$40,000$20,000$78,000$39,000$No780,000$--------No--------
Evgeny DadonovBANGOR PUPPIES (BEA)LW/RW353/12/1989No194 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,395,960$697,980$1,064,000$532,000$139,596$69,798$No------------------
Filip BystedtBANGOR PUPPIES (BEA)C202/4/2004 6:23:33 AMYes205 Lbs6 ft4NoNoN/ANoNo3Pro & Farm800,000$400,000$40,000$20,000$80,000$40,000$No800,000$800,000$-------NoNo-------
J.T. MillerBANGOR PUPPIES (BEA)C/LW/RW313/14/1993 7:15:36 AMNo228 Lbs6 ft1NoNoN/ANoNo1Pro & Farm918,750$459,375$40,000$20,000$91,875$45,938$No------------------
Jack ThompsonBANGOR PUPPIES (BEA)D216/1/2002 8:48:03 AMYes207 Lbs6 ft5NoNoN/ANoNo2Pro & Farm600,000$300,000$40,000$20,000$60,000$30,000$No600,000$--------No--------
Jamie DrysdaleBANGOR PUPPIES (BEA)D224/8/2002 7:28:19 AMYes175 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$375,000$40,000$20,000$75,000$37,500$No------------------
Jesse YlönenBANGOR PUPPIES (BEA)RW2410/3/1999 7:01:28 AMYes178 Lbs6 ft1NoNoN/ANoNo2Pro & Farm600,000$300,000$40,000$20,000$60,000$30,000$No600,000$--------No--------
Jonatan BerggrenBANGOR PUPPIES (BEA)LW/RW237/16/2000 6:57:48 AMYes197 Lbs6 ft2NoNoN/ANoNo3Pro & Farm700,000$350,000$40,000$20,000$70,000$35,000$No700,000$700,000$-------NoNo-------
Kyle CapobiancoBANGOR PUPPIES (BEA)D265/29/1997 5:45:59 AMNo216 Lbs6 ft3NoNoN/ANoNo2Pro & Farm781,000$390,500$40,000$20,000$78,100$39,050$No781,000$--------No--------
Logan Stankoven BANGOR PUPPIES (BEA)C206/1/2003 6:18:52 AMYes185 Lbs6 ft0NoNoN/ANoNo2Pro & Farm700,000$350,000$40,000$20,000$70,000$35,000$No700,000$--------No--------
Matthew SavoieBANGOR PUPPIES (BEA)C201/1/2004 5:09:42 AMYes179 Lbs5 ft9NoNoN/ANoNo3Pro & Farm900,000$450,000$40,000$20,000$90,000$45,000$No900,000$900,000$-------NoNo-------
Michael HutchinsonBANGOR PUPPIES (BEA)G343/2/1990No211 Lbs6 ft3NoNoN/ANoNo1Pro & Farm780,000$390,000$40,000$20,000$78,000$39,000$No------------------Lien NHL
Miles WoodBANGOR PUPPIES (BEA)LW289/13/1995 10:06:18 AMNo203 Lbs6 ft0NoNoN/ANoNo3Pro & Farm840,000$420,000$40,000$20,000$84,000$42,000$No840,000$840,000$-------NoNo-------
Nikita AlexandrovBANGOR PUPPIES (BEA)C226/1/2001 7:14:57 AMYes185 Lbs6 ft1NoNoN/ANoNo3Pro & Farm500,000$250,000$40,000$20,000$50,000$25,000$No500,000$500,000$-------NoNo-------
Nikita FilatovBANGOR PUPPIES (BEA)LW335/25/1990No211 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,257,000$628,500$40,000$20,000$125,700$62,850$No------------------
Ondrej KaseBANGOR PUPPIES (BEA)LW/RW2811/8/1995 7:23:23 AMNo190 Lbs6 ft2NoNoN/ANoNo3Pro & Farm851,000$425,500$40,000$20,000$85,100$42,550$No851,000$851,000$-------NoNo-------
Samu SalminenBANGOR PUPPIES (BEA)C206/1/2003 7:16:58 AMYes183 Lbs6 ft3NoNoN/ANoNo2Pro & Farm550,000$275,000$40,000$20,000$55,000$27,500$No550,000$--------No--------
Scott WedgewoodBANGOR PUPPIES (BEA)G318/14/1992 2:17:41 AMNo215 Lbs6 ft2NoNoN/ANoNo4Pro & Farm750,000$375,000$40,000$20,000$75,000$37,500$No750,000$750,000$750,000$------NoNoNo------
Sebastian CossaBANGOR PUPPIES (BEA)G2111/21/2002 7:43:41 AMYes219 Lbs6 ft7NoNoN/ANoNo2Pro & Farm800,000$400,000$40,000$20,000$80,000$40,000$No800,000$--------No--------
Ty SmithBANGOR PUPPIES (BEA)D243/24/2000 5:21:25 AMYes186 Lbs6 ft0NoNoN/ANoNo4Pro & Farm750,000$375,000$40,000$20,000$75,000$37,500$No750,000$750,000$750,000$------NoNoNo------
Victor SöderströmBANGOR PUPPIES (BEA)D232/26/2001 4:21:44 AMYes187 Lbs6 ft0NoNoN/ANoNo5Pro & Farm750,000$375,000$40,000$20,000$75,000$37,500$No750,000$750,000$750,000$750,000$-----NoNoNoNo-----
Ville HeinolaBANGOR PUPPIES (BEA)D233/2/2001 4:50:39 AMNo183 Lbs6 ft0NoNoN/ANoNo5Pro & Farm750,000$375,000$40,000$20,000$75,000$37,500$No750,000$750,000$750,000$750,000$-----NoNoNoNo-----
William WallinderBANGOR PUPPIES (BEA)D217/28/2002 9:22:33 AMYes199 Lbs6 ft6NoNoN/ANoNo1Pro & Farm650,000$325,000$40,000$20,000$65,000$32,500$No------------------
Zach OstapchukBANGOR PUPPIES (BEA)C216/1/2002 4:10:59 AMYes186 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$350,000$40,000$20,000$70,000$35,000$No700,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3224.88198 Lbs6 ft22.31762,772$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikita FilatovAnton LundellDylan Cozens40122
2J.T. MillerZach OstapchukEvgeny Dadonov30023
3Ondrej KaseEmil BemströmMatthew Savoie20122
4Miles WoodLogan Stankoven Nikita Alexandrov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty SmithWilliam Wallinder40122
2Jamie DrysdaleVictor Söderström30122
3Colby RobakVille Heinola20122
4Colby RobakVille Heinola10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evgeny DadonovAnton LundellDylan Cozens60014
2Zach OstapchukEmil BemströmJ.T. Miller40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie DrysdaleTy Smith60014
2Victor SöderströmVille Heinola40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Anton LundellEvgeny Dadonov60041
2Dylan CozensNikita Filatov40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor SöderströmColby Robak60050
2Jamie DrysdaleVille Heinola40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zach Ostapchuk60041Victor SöderströmColby Robak60050
2J.T. Miller40041Jamie DrysdaleWilliam Wallinder40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1J.T. MillerDylan Cozens60122
2Anton LundellNikita Filatov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colby RobakVictor Söderström60122
2Ville HeinolaJamie Drysdale40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
J.T. MillerAnton LundellDylan CozensJamie DrysdaleVictor Söderström
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
J.T. MillerAnton LundellEvgeny DadonovJamie DrysdaleVictor Söderström
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zach Ostapchuk, Ondrej Kase, Logan Stankoven Logan Stankoven , Ondrej KaseZach Ostapchuk
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jamie Drysdale, Ville Heinola, Victor SöderströmWilliam WallinderTy Smith, William Wallinder
Tirs de pénalité
Anton Lundell, Dylan Cozens, Nikita Filatov, J.T. Miller, Zach Ostapchuk
Gardien
#1 : Scott Wedgewood, #2 : Devon Levi
Lignes d’attaque personnalisées en prolongation
Dylan Cozens, Anton Lundell, J.T. Miller, Evgeny Dadonov, Emil Bemström, Zach Ostapchuk, Zach Ostapchuk, Nikita Filatov, Miles Wood, Matthew Savoie, Logan Stankoven
Lignes de défense personnalisées en prolongation
Jamie Drysdale, Ty Smith, Ville Heinola, William Wallinder, Victor Söderström


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,440,871$ 230,400$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 32 0

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




BANGOR PUPPIES 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 PUPPIES 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 PUPPIES 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 PUPPIES 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 PUPPIES 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