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Connexion

Banshees
GP: 6 | W: 2 | L: 4
GF: 17 | GA: 18 | PP%: 22.22% | PK%: 68.00%
DG: Louis-Philippe DesHaies | Morale : 50 | Moyenne d’équipe : 66

Centre de jeu
Senators
4-6-0, 8pts
2
FINAL
1 Banshees
2-4-0, 4pts
Team Stats
L4SéquenceL3
2-3-0Fiche domicile1-2-0
2-3-0Fiche domicile1-2-0
4-6-0Derniers 10 matchs2-4-0
2.50Buts par match 2.83
3.30Buts contre par match 3.00
25.00%Pourcentage en avantage numérique22.22%
75.00%Pourcentage en désavantage numérique68.00%
Banshees
2-4-0, 4pts
3
FINAL
4 Senators
4-6-0, 8pts
Team Stats
L3SéquenceL4
1-2-0Fiche domicile2-3-0
1-2-0Fiche domicile2-3-0
2-4-0Derniers 10 matchs4-6-0
2.83Buts par match 2.50
3.00Buts contre par match 3.30
22.22%Pourcentage en avantage numérique25.00%
68.00%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Buts
Mike Cammalleri
5
Passes
Martin Erat
4
Points
Martin Erat
6
Plus/Moins
Kurt Sauer
7
Victoires
David Goverde
2
Pourcentage d’arrêts
David Goverde
0.883

Statistiques d’équipe
Buts pour
17
2.83 GFG
Tirs pour
166
27.67 Avg
Pourcentage en avantage numérique
22.2%
4 GF
Début de zone offensive
38.1%
Buts contre
18
3.00 GAA
Tirs contre
154
25.67 Avg
Pourcentage en désavantage numérique
68.0%%
8 GA
Début de la zone défensive
41.7%
Informations de l'équipe

Directeur généralLouis-Philippe DesHaies
EntraîneurJohn Tortorella
DivisionDivision 2
ConférenceEST
Capitaine
Assistant #1Brad Lauer
Assistant #2Tom Tilley


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,200


Informations de la formation

Équipe Pro32
Équipe Mineure19
Limite contact 51 / 65
Espoirs9


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
1Nils Ekman (R)0X100.007055807574687075718474677465665050710263800,000$
2Martin Erat (R)0X100.005843848674797582697976666546428650710212450,000$
3Darcy Loewen0X100.0093932171725469766474757366797937507003311,132,000$
4Joe Hulbig0X100.005543877880656371537873595957606950670292684,000$
5Hnat Domenichelli (R)0X100.005042968171637175807371616557586350670263730,000$
6Mike Cammalleri (R)0X100.005238818065667677657577627452409050670203450,000$
7Pierre-Marc Bouchard (R)0X100.006245848069686476807765686235539050670183450,000$
8Ted Drury0X100.005548917176527065666762776073665350650312657,000$
9Mark Greig0X100.006354767173576866606562755971733350650331800,000$
10Brad Lauer (A)0X100.006350656377666865656947654697991050640361690,000$
11Alexandr Svitov (R)0X100.008380596277707256746362656443456750620203450,000$
12Tomi Kallio (R)0X100.004937897073556661606760566660646350610251450,000$
13Tom Tilley (A)0X100.005945756973717261545860845799974507003711,000,000$
14Dave Karpa0X100.0098943470776468725878647146727251507003111,150,000$
15Rudy Poeschek0X100.007368536478667056586549794985891450680361450,000$
16Sean Brown (R)0X100.007068726875737452355347725755546050640263650,000$
17Maxim Kuznetsov (R)0X100.005868696884686757255552664052556450620251450,000$
18Kurt Sauer (R)0X100.006072646876706859356256704548387050620213450,000$
Rayé
1Tony Horacek0X100.006145896579566757655959666499991350640351650,000$
2Dan Currie0X100.006047756876606661596561676076823050640341700,000$
3Herb Raglan0X100.007164496276676654496462665685981650640351640,000$
4Denis Arkhipov (R)0X100.005440857377696972757067605537397050640231450,000$
5Darin Kimble0X100.006551806677657055695452765785882850630341700,000$
6Kevyn Adams0X100.007748767474748756934647806166586650630271600,000$
7Jamie Lundmark (R)0X100.006359737376707060786561606235376850610213450,000$
8Krys Kolanos (R)0X100.007162667076727646755760555045367150590212450,000$
9Allen Pedersen0X100.006659666780646863486467745599991506903711,100,000$
10Jim Kyte0X100.00726963677964715252534179409999150680381450,000$
MOYENNE D’ÉQUIPE100.00655772717666706462666169586767485065
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
1David Goverde0100.00657488817872808679766873694750760321700,000$
2Brent Johnson (R)0100.00676766787075777881706252565450710251536,000$
Rayé
1Zac Bierk (R)0100.00816363566779787677636461635950690261550,000$
2Curtis Sanford (R)0100.00666567686563626668706244487050630223450,000$
MOYENNE D’ÉQUIPE100.0070677171707274777670645859585070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Tortorella87728285899975USA45195,000$


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
1Martin EratBanshees (PHI)RW6246500312223149.09%010818.16000516000000137.50%800001.1000000101
2Pierre-Marc BouchardBanshees (PHI)C624652099172711.76%110717.97011216000000045.39%14100001.1100000012
3Hnat DomenichelliBanshees (PHI)C632500009141821.43%09916.56112514000000057.14%11200001.0100000000
4Mike CammalleriBanshees (PHI)LW5505420231521133.33%27414.99000212000001066.67%300011.3300000101
5Allen PedersenBanshees (PHI)D6044620656330%311819.7501131400003000%000000.6800000000
6Nils EkmanBanshees (PHI)RW6314140691651118.75%010517.66202314000001037.50%800000.7500000000
7Sean BrownBanshees (PHI)D6033000922020%610116.9901100000018000%000000.5900000010
8Kurt SauerBanshees (PHI)D60337401051230%512921.62000115000014000%000000.4600000000
9Tom TilleyBanshees (PHI)D6112-4002663416.67%1214223.81101315000019000%000000.2800000000
10Rudy PoeschekBanshees (PHI)D602221352033570%610317.3000002000017000%000000.3900001000
11Darcy LoewenBanshees (PHI)LW6022240225114130%311419.050114140000160033.33%900000.3500000000
12Ted DruryBanshees (PHI)C6011020088480%27612.81000000000110037.80%8200000.2600000000
13Mark GreigBanshees (PHI)RW610106044101410.00%17813.01000000000120066.67%600000.2600000000
14Dave KarpaBanshees (PHI)D6011-51202654290%812220.4901121400003000%000000.1600000000
15Brad LauerBanshees (PHI)LW2000020121100%0199.93000000000400100.00%10000000000000
16Dan CurrieBanshees (PHI)LW5000-320501210%05711.510000100006000%40000000000000
17Joe HulbigBanshees (PHI)LW6000-1003318170%07412.4500032000010042.86%70000000000000
18Kevyn AdamsBanshees (PHI)C6000-220996050%17111.88000000000230049.45%910000000000000
19Tomi KallioBanshees (PHI)RW6000-200005230%0477.970000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne10817284515575137991664312010.24%50175716.2746103315700001542147.25%47200010.5100001224
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
1David GoverdeBanshees (PHI)62400.8833.0335600181540000060000
Statistiques d’équipe totales ou en moyenne62400.8833.033560018154000060000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Alexandr SvitovBanshees (PHI)C202009-09-01RUSYes251 Lbs6 ft2NoNoDraftNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Allen PedersenBanshees (PHI)D371992-02-09CANNo211 Lbs6 ft5NoNoFree AgentNoNo12025-03-26FalseFalsePro & Farm1,100,000$0$0$No---------------------------
Brad LauerBanshees (PHI)LW361993-02-09CANNo212 Lbs6 ft0NoNoFree AgentNoNo12025-03-26FalseFalsePro & Farm690,000$0$0$No---------------------------
Brent JohnsonBanshees (PHI)G252004-03-12USAYes196 Lbs6 ft3NoNoFree AgentNoNo12025-03-11FalseFalsePro & Farm536,000$0$0$No---------------------------
Curtis SanfordBanshees (PHI)G222007-09-01CANYes189 Lbs5 ft10NoNoDraftNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Dan CurrieBanshees (PHI)LW341995-02-09CANNo200 Lbs6 ft2NoNoFree AgentNoNo12025-03-26FalseFalsePro & Farm700,000$0$0$No---------------------------
Darcy LoewenBanshees (PHI)LW331996-02-09CANNo188 Lbs5 ft10NoNoFree AgentNoNo12025-03-21FalseFalsePro & Farm1,132,000$0$0$No---------------------------
Darin KimbleBanshees (PHI)C341995-02-09CANNo206 Lbs6 ft2NoNoFree AgentNoNo12025-03-26FalseFalsePro & Farm700,000$0$0$No---------------------------
Dave KarpaBanshees (PHI)D311998-02-09CANNo213 Lbs6 ft1NoNoFree AgentNoNo12025-03-25FalseFalsePro & Farm1,150,000$0$0$No---------------------------
David GoverdeBanshees (PHI)G321997-02-09CANNo204 Lbs6 ft1NoNoFree AgentNoNo12024-08-12FalseFalsePro & Farm700,000$0$0$No---------------------------
Denis ArkhipovBanshees (PHI)C232006-05-19RUSYes214 Lbs6 ft2NoNoTrade2025-06-14NoNo12024-08-21FalseFalsePro & Farm450,000$0$0$No---------------------------
Herb RaglanBanshees (PHI)RW351994-02-09CANNo213 Lbs6 ft0NoNoFree AgentNoNo12025-10-26FalseFalsePro & Farm640,000$0$0$No---------------------------
Hnat DomenichelliBanshees (PHI)C262003-02-03CANYes182 Lbs6 ft0NoNoFree Agent2025-03-15NoNo32025-09-15FalseFalsePro & Farm730,000$0$0$No730,000$730,000$-------730,000$730,000$-------NoNo-------
Jamie LundmarkBanshees (PHI)C212008-09-01CANYes194 Lbs6 ft0NoNoDraftNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Jim KyteBanshees (PHI)D381991-02-09CANNo211 Lbs6 ft5NoNoFree AgentNoNo12026-01-29FalseFalsePro & Farm450,000$0$0$No---------------------------
Joe HulbigBanshees (PHI)LW292000-02-09USANo220 Lbs6 ft3NoNoFree AgentNoNo22025-03-21FalseFalsePro & Farm684,000$0$0$No684,000$--------684,000$--------No--------
Kevyn AdamsBanshees (PHI)C272002-10-08USANo196 Lbs6 ft1NoNoFree AgentNoNo12024-08-06FalseFalsePro & Farm600,000$0$0$No---------------------------
Krys KolanosBanshees (PHI)C212008-07-27CANYes200 Lbs6 ft2NoNoDraftNoNo22025-03-27FalseFalsePro & Farm450,000$0$0$No450,000$--------450,000$--------No--------Lien
Kurt SauerBanshees (PHI)D212008-09-01USAYes220 Lbs6 ft4NoNoProspectNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Mark GreigBanshees (PHI)RW331996-02-09CANNo195 Lbs5 ft11NoNoFree AgentNoNo12024-08-16FalseFalsePro & Farm800,000$0$0$No---------------------------
Martin EratBanshees (PHI)RW212008-08-29CZEYes195 Lbs6 ft0NoNoTrade2025-10-31NoNo22025-03-27FalseFalsePro & Farm450,000$0$0$No450,000$--------450,000$--------No--------Lien
Maxim KuznetsovBanshees (PHI)D252004-03-24RUSYes240 Lbs6 ft5NoNoProspectNoNo12024-08-21FalseFalsePro & Farm450,000$0$0$No---------------------------
Mike CammalleriBanshees (PHI)LW202009-09-01CANYes185 Lbs5 ft9NoNoProspectNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Nils EkmanBanshees (PHI)RW262003-03-11SWEYes185 Lbs6 ft1NoNoFree AgentNoNo32025-09-20FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Pierre-Marc BouchardBanshees (PHI)C182011-09-01CANYes173 Lbs5 ft10NoNoDraftNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Lien
Rudy PoeschekBanshees (PHI)D361993-02-09CANNo212 Lbs6 ft2NoNoAssign ManuallyNoNo12026-01-26FalseFalsePro & Farm450,000$0$0$No---------------------------
Sean BrownBanshees (PHI)D262003-02-27CANYes196 Lbs6 ft2NoNoFree AgentNoNo32025-09-15FalseFalsePro & Farm650,000$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Ted DruryBanshees (PHI)C311998-02-09USANo212 Lbs6 ft0NoNoFree AgentNoNo22025-03-25FalseFalsePro & Farm657,000$0$0$No657,000$--------657,000$--------No--------
Tom TilleyBanshees (PHI)D371992-02-09CANNo191 Lbs6 ft0NoNoFree AgentNoNo12025-09-23FalseFalsePro & Farm1,000,000$0$0$No---------------------------
Tomi KallioBanshees (PHI)RW252005-01-27FINYes189 Lbs6 ft0NoNoProspectNoNo12024-08-21FalseFalsePro & Farm450,000$0$0$No---------------------------
Tony HoracekBanshees (PHI)LW351994-02-09CANNo218 Lbs6 ft4NoNoFree AgentNoNo12025-03-26FalseFalsePro & Farm650,000$0$0$No---------------------------
Zac BierkBanshees (PHI)G262003-09-17CANYes186 Lbs6 ft4NoNoFree AgentNoNo12024-08-16FalseFalsePro & Farm550,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3228.25203 Lbs6 ft11.69634,969$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike CammalleriPierre-Marc BouchardMartin Erat40005
2Darcy LoewenHnat DomenichelliNils Ekman39014
3Joe HulbigTed DruryMark Greig14131
4Brad LauerAlexandr SvitovTomi Kallio7140
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tom TilleyDave Karpa45023
2Maxim KuznetsovKurt Sauer37023
3Sean BrownRudy Poeschek12122
4Tom TilleyRudy Poeschek6122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike CammalleriPierre-Marc BouchardNils Ekman65005
2Darcy LoewenHnat DomenichelliMartin Erat35005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tom TilleyDave Karpa70122
2Maxim KuznetsovKurt Sauer30122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexandr SvitovDarcy Loewen70050
2Ted DruryMark Greig30050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tom TilleyRudy Poeschek70050
2Kurt SauerSean Brown30050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alexandr Svitov70050Tom TilleyRudy Poeschek70050
2Pierre-Marc Bouchard30050Kurt SauerSean Brown30050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Hnat DomenichelliJoe Hulbig70023
2Pierre-Marc BouchardDarcy Loewen30023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurt SauerSean Brown70131
2Rudy PoeschekTom Tilley30131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike CammalleriPierre-Marc BouchardMartin EratDave KarpaTom Tilley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joe HulbigAlexandr SvitovMark GreigRudy PoeschekSean Brown
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Cammalleri, Martin Erat, Nils EkmanMartin Erat, Darcy LoewenMark Greig
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dave Karpa, Kurt Sauer, Sean BrownRudy PoeschekSean Brown, Rudy Poeschek
Tirs de pénalité
Nils Ekman, Martin Erat, Mike Cammalleri, Joe Hulbig, Hnat Domenichelli
Gardien
#1 : David Goverde, #2 : Brent Johnson


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
1Senators624000001718-13120000087131200000911-240.3331728450083601666457450154505713718422.22%25868.00%08418046.67%9719749.24%429544.21%14297140457738
Total624000001718-13120000087131200000911-240.3331728450083601666457450154505713718422.22%25868.00%08418046.67%9719749.24%429544.21%14297140457738
_Since Last GM Reset624000001718-13120000087131200000911-240.3331728450083601666457450154505713718422.22%25868.00%08418046.67%9719749.24%429544.21%14297140457738
_Vs Conference624000001718-13120000087131200000911-240.3331728450083601666457450154505713718422.22%25868.00%08418046.67%9719749.24%429544.21%14297140457738

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L3172845166154505713700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001718
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
312000087
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000911
Derniers 10 matchs
WLOTWOTL SOWSOL
240000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18422.22%25868.00%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
64574508360
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
8418046.67%9719749.24%429544.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
14297140457738


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
13Senators3Banshees2LSommaire du match
211Senators2Banshees5WSommaire du match
319Banshees4Senators2WSommaire du match
427Banshees2Senators5LSommaire du match
535Senators2Banshees1LSommaire du match
643Banshees3Senators4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,031,900$ 2,031,900$ 95,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Banshees 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

Banshees 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

Banshees 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

Banshees 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

Banshees 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