Connexion

Saguenéens
GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8
GF: 17 | GA: 8 | PP%: 17.65% | PK%: 70.00%
DG: Nicolas Gagnon | Morale : 90 | Moyenne d’équipe : 59
Prochains matchs #62 vs Vipers
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Centre de jeu
Supreme
1-1-1, 3pts
3
FINAL
4 Saguenéens
4-0-0, 8pts
Team Stats
W1SéquenceW4
1-0-1Fiche domicile1-0-0
0-1-0Fiche domicile3-0-0
1-1-1Derniers 10 matchs4-0-0
3.33Buts par match 4.25
3.33Buts contre par match 2.00
25.00%Pourcentage en avantage numérique17.65%
83.33%Pourcentage en désavantage numérique70.00%
Saguenéens
4-0-0, 8pts
4
FINAL
1 Scorpions
1-2-0, 2pts
Team Stats
W4SéquenceL2
1-0-0Fiche domicile1-1-0
3-0-0Fiche domicile0-1-0
4-0-0Derniers 10 matchs1-2-0
4.25Buts par match 2.00
2.00Buts contre par match 3.33
17.65%Pourcentage en avantage numérique0.00%
70.00%Pourcentage en désavantage numérique75.00%
Vipers
3-0-0, 6pts
Jour 6
Saguenéens
4-0-0, 8pts
Statistiques d’équipe
W1SéquenceW4
2-0-0Fiche domicile1-0-0
1-0-0Fiche visiteur3-0-0
3-0-010 derniers matchs4-0-0
4.67Buts par match 4.25
2.67Buts contre par match 4.25
42.86%Pourcentage en avantage numérique17.65%
100.00%Pourcentage en désavantage numérique70.00%
Snowbirds
1-2-0, 2pts
Jour 8
Saguenéens
4-0-0, 8pts
Statistiques d’équipe
W1SéquenceW4
1-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur3-0-0
1-2-010 derniers matchs4-0-0
0.67Buts par match 4.25
2.67Buts contre par match 4.25
8.33%Pourcentage en avantage numérique17.65%
93.75%Pourcentage en désavantage numérique70.00%
Saguenéens
4-0-0, 8pts
Jour 9
Supreme
1-1-1, 3pts
Statistiques d’équipe
W4SéquenceW1
1-0-0Fiche domicile1-0-1
3-0-0Fiche visiteur0-1-0
4-0-010 derniers matchs1-1-1
4.25Buts par match 3.33
2.00Buts contre par match 3.33
17.65%Pourcentage en avantage numérique25.00%
70.00%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Matthew Phillips
1
Passes
Matthew Phillips
3
Points
Matthew Phillips
4
Plus/Moins
Matthew Phillips
4

Statistiques d’équipe
Buts pour
17
4.25 GFG
Tirs pour
146
36.50 Avg
Pourcentage en avantage numérique
17.6%
3 GF
Début de zone offensive
44.5%
Buts contre
8
2.00 GAA
Tirs contre
103
25.75 Avg
Pourcentage en désavantage numérique
70.0%%
6 GA
Début de la zone défensive
38.3%
Informations de l'équipe

Directeur généralNicolas Gagnon
EntraîneurDrew Bannister
DivisionDivision Est
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2Gavin Bayreuther


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison3,000


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 50
Espoirs90


Historique d'équipe

Saison actuelle4-0-0 (8PTS)
Historique4-0-0
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Warren FoegeleX100.007048798471709966306170697088790906702853,750,000$
2Patrik LaineX100.005145878283764063305275587085770906402625,500,000$
3Thomas BordeleauX100.00554577864975406283556865698274090630225900,000$
4Jonny BrodzinskiX100.00594591806756695980595956689078090630313950,000$
5Josh DoanX100.005345958659624063305671706982710906202241,200,000$
6Justin BaileyX100.00754592778056715530535770668876090620291900,000$
7Matt MartinX100.009960747579506951304656666594810906103511,025,000$
8James Malatesta (R)X100.009348888055514053304858616680670905802131,025,000$
9Landon SlaggertX100.00644590815556405330525473668169090580224925,000$
10Samuel LabergeX98.00504595757250404530405060508774090540274800,000$
11Daniil MiromanovX100.00524586817286406030546572688681090660275900,000$
12Jon MerrillX100.005845827868537853304958676692800906403211,025,000$
13Marc StaalX100.006645847672584251304954776597850906403731,200,000$
14Adam BoqvistX100.005245958355764257306154636783750906202422,500,000$
15Gavin Bayreuther (A)X100.00504595826050404530405055508878090570302950,000$
Rayé
1Ben MeyersX90.88804588786051405075475466658572090600254925,000$
2Matthew Phillips (R)X82.05514595824051405230515363658673090550261700,000$
3Luke PhilpX100.00504595786050404530405055508776090530282775,000$
4Rocco GrimaldiX100.00504595786050404530405055509077090530311982,000$
5Isak Rosen (R)X100.005045957952504045304050555081680905202141,200,000$
6Tanner Laczynski (R)X100.00504595786050404530405055508572090520271950,000$
7Gabriel LandeskogX100.00504595746050404530405055509178090520314900,000$
8Alexander ChmelevskiX100.00504595776050404530405055508471090520251750,000$
9Nathan Smith (R)X100.00504595796050404530405055508471090520255800,000$
MOYENNE D’ÉQUIPE98.7560469080635748523648576261877509059
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
1Matthew Murray (R)100.0079506085797979797975708572090660262775,000$
2Kevin Mandolese (R)100.0070507683707070707070998270090620242775,000$
Rayé
1Josef Korenar (R)100.0070404083656565656565658471090570261750,000$
MOYENNE D’ÉQUIPE100.007347598471717171717078847109062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Drew Bannister73877695847872CAN5011,500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Matthew PhillipsSaguenéens (CHI)C413440011420385.00%36516.4500047000051038.46%6500001.2200000202
2Ben MeyersSaguenéens (CHI)LW41342206881712.50%05614.0710127000040063.64%1100001.4200000112
3Samuel LabergeSaguenéens (CHI)C4000300156370%15814.5800028000010042.59%540000000000020
Statistiques d’équipe totales ou en moyenne12268920827347225.88%418015.031018220000101042.31%13000000.8900000334
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 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 Salaire restantPlafond 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
Adam BoqvistSaguenéens (CHI)D242000-08-15SWENo189 Lbs6 ft0NoNoTrade2025-01-09NoNo22025-03-16FalseFalsePro & Farm2,500,000$2,410,714$0$0$No2,500,000$--------2,500,000$--------No--------
Alexander ChmelevskiSaguenéens (CHI)RW251999-06-09USANo188 Lbs6 ft0NoNoN/ANoNo12025-03-16FalseFalsePro & Farm750,000$723,214$0$0$No---------------------------
Ben MeyersSaguenéens (CHI)LW251998-11-15USANo194 Lbs5 ft11NoNoN/ANoNo42025-03-16FalseFalsePro & Farm925,000$891,964$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------
Daniil MiromanovSaguenéens (CHI)D271997-07-11RUSNo207 Lbs6 ft4NoNoTrade2025-01-14NoNo52025-03-16FalseFalsePro & Farm900,000$867,857$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----
Gabriel LandeskogSaguenéens (CHI)LW311992-11-23SWENo215 Lbs6 ft1NoNoN/ANoNo42025-03-16FalseFalsePro & Farm900,000$867,857$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------
Gavin BayreutherSaguenéens (CHI)D301994-05-12USANo196 Lbs6 ft1NoNoN/ANoNo22025-03-16FalseFalsePro & Farm950,000$916,071$0$0$No950,000$--------950,000$--------No--------
Isak RosenSaguenéens (CHI)RW212003-03-15SWEYes173 Lbs6 ft0NoNoTrade2025-04-11NoNo42025-03-16FalseFalsePro & Farm1,200,000$1,157,143$0$0$No1,200,000$1,200,000$1,200,000$------1,200,000$1,200,000$1,200,000$------NoNoNo------
James MalatestaSaguenéens (CHI)LW212003-05-31CANYes191 Lbs5 ft9NoNoAssign ManuallyNoNo32025-04-04FalseFalsePro & Farm1,025,000$988,393$0$0$No1,025,000$1,025,000$-------1,025,000$1,025,000$-------NoNo-------
Jon MerrillSaguenéens (CHI)D321992-02-03USANo204 Lbs6 ft3NoNoN/ANoNo12025-03-16FalseFalsePro & Farm1,025,000$988,393$0$0$No---------------------------
Jonny BrodzinskiSaguenéens (CHI)C311993-06-19USANo204 Lbs6 ft0NoNoN/ANoNo32025-03-16FalseFalsePro & Farm950,000$916,071$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Josef KorenarSaguenéens (CHI)G261998-01-31CZEYes185 Lbs6 ft1NoNoN/ANoNo12025-03-16FalseFalsePro & Farm750,000$723,214$0$0$No---------------------------
Josh DoanSaguenéens (CHI)RW222002-02-01USANo183 Lbs6 ft1NoNoTrade2025-04-11NoNo42025-03-16FalseFalsePro & Farm1,200,000$1,157,143$0$0$No1,200,000$1,200,000$1,200,000$------1,200,000$1,200,000$1,200,000$------NoNoNo------
Justin BaileySaguenéens (CHI)RW291995-07-01USANo214 Lbs6 ft4NoNoN/ANoNo12025-03-16FalseFalsePro & Farm900,000$867,857$0$0$No---------------------------
Kevin MandoleseSaguenéens (CHI)G242000-08-22CANYes180 Lbs6 ft4NoNoN/ANoNo22025-03-16FalseFalsePro & Farm775,000$747,321$0$0$No775,000$--------775,000$--------No--------
Landon SlaggertSaguenéens (CHI)LW222002-06-25USANo180 Lbs6 ft0NoNoTrade2025-03-28NoNo42025-03-16FalseFalsePro & Farm925,000$891,964$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------
Luke PhilpSaguenéens (CHI)C281995-11-06CANNo181 Lbs5 ft10NoNoN/ANoNo22025-03-16FalseFalsePro & Farm775,000$747,321$0$0$No775,000$--------775,000$--------No--------
Marc StaalSaguenéens (CHI)D371987-01-13CANNo208 Lbs6 ft4NoNoN/ANoNo32025-03-16FalseFalsePro & Farm1,200,000$1,157,143$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------
Matt MartinSaguenéens (CHI)LW351989-05-08CANNo215 Lbs6 ft3NoNoN/ANoNo12025-03-16FalseFalsePro & Farm1,025,000$988,393$0$0$No---------------------------
Matthew MurraySaguenéens (CHI)G261998-02-02CANYes200 Lbs6 ft1NoNoN/ANoNo22025-03-16FalseFalsePro & Farm775,000$747,321$0$0$No775,000$--------775,000$--------No--------
Matthew PhillipsSaguenéens (CHI)C261998-04-06CANYes160 Lbs5 ft8NoNoN/ANoNo12025-03-16FalseFalsePro & Farm700,000$675,000$0$0$No---------------------------
Nathan SmithSaguenéens (CHI)RW251998-10-19USAYes177 Lbs6 ft0NoNoN/ANoNo52025-03-16FalseFalsePro & Farm800,000$771,429$0$0$No800,000$800,000$800,000$800,000$-----800,000$800,000$800,000$800,000$-----NoNoNoNo-----
Patrik LaineSaguenéens (CHI)RW261998-04-19FINNo215 Lbs6 ft5NoNoTrade2025-03-30NoNo22025-03-16FalseFalsePro & Farm5,500,000$5,303,571$0$0$No5,500,000$--------5,500,000$--------No--------
Rocco GrimaldiSaguenéens (CHI)LW311993-02-08USANo180 Lbs5 ft6NoNoN/ANoNo12025-03-16FalseFalsePro & Farm982,000$946,929$0$0$No---------------------------
Samuel LabergeSaguenéens (CHI)C271997-04-10CANNo206 Lbs6 ft2NoNoN/ANoNo42025-03-16FalseFalsePro & Farm800,000$771,429$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
Tanner LaczynskiSaguenéens (CHI)C271997-06-01USAYes190 Lbs6 ft1NoNoN/ANoNo12025-03-16FalseFalsePro & Farm950,000$916,071$0$0$No---------------------------
Thomas BordeleauSaguenéens (CHI)RW222002-01-03USANo175 Lbs5 ft10NoNoTrade2025-03-28NoNo52025-03-16FalseFalsePro & Farm900,000$867,857$0$0$No900,000$900,000$900,000$900,000$-----900,000$900,000$900,000$900,000$-----NoNoNoNo-----
Warren FoegeleSaguenéens (CHI)RW281996-04-01CANNo204 Lbs6 ft2NoNoTrade2025-01-12NoNo52025-03-16FalseFalsePro & Farm3,750,000$3,616,071$0$0$No3,750,000$3,750,000$3,750,000$3,750,000$-----3,750,000$3,750,000$3,750,000$3,750,000$-----NoNoNoNo-----
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.96193 Lbs6 ft12.701,253,037$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
230122
3Samuel Laberge25122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
230122
325122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
245122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
245122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Laberge, , Samuel Laberge,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , , Samuel Laberge
Gardien
#1 : , #2 :


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
1Raptors11000000431000000000001100000043121.000471100557031454754023814263266.67%5260.00%07015046.67%6012946.51%285848.28%987297264321
2Scorpions11000000413000000000001100000041321.0004812005570424547540311310219111.11%40100.00%07015046.67%6012946.51%285848.28%987297264321
3Snowbirds11000000514000000000001100000051421.000510150055702945475402012615300.00%4175.00%07015046.67%6012946.51%285848.28%987297264321
4Supreme11000000431110000004310000000000021.000481200557044454754029111419200.00%7357.14%07015046.67%6012946.51%285848.28%987297264321
Total4400000017891100000043133000000135881.000173350005570146454754010344448117317.65%20670.00%07015046.67%6012946.51%285848.28%987297264321
_Since Last GM Reset4400000017891100000043133000000135881.000173350005570146454754010344448117317.65%20670.00%07015046.67%6012946.51%285848.28%987297264321
_Vs Conference4400000017891100000043133000000135881.000173350005570146454754010344448117317.65%20670.00%07015046.67%6012946.51%285848.28%987297264321
_Vs Division4400000017891100000043133000000135881.000173350005570146454754010344448117317.65%20670.00%07015046.67%6012946.51%285848.28%987297264321

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
48W417335014610344448100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4400000178
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000043
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3300000135
Derniers 10 matchs
WLOTWOTL SOWSOL
400000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
17317.65%20670.00%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
45475405570
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
7015046.67%6012946.51%285848.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
987297264321


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
17Saguenéens5Snowbirds1WSommaire du match
224Saguenéens4Raptors3WSommaire du match
330Supreme3Saguenéens4WSommaire du match
438Saguenéens4Scorpions1WSommaire du match
662Vipers-Saguenéens-
885Snowbirds-Saguenéens-
9100Saguenéens-Supreme-
10111Scorpions-Saguenéens-
11131Raptors-Saguenéens-
12146Saguenéens-Rockets-
13157Saguenéens-Barracudas-
15176Marmots-Saguenéens-
16189Saguenéens-Scorpions-
18200Spartans-Saguenéens-
19214Saguenéens-Spartans-
20237Chiwawa-Saguenéens-
21251Saguenéens-Chiwawa-
23265Saguenéens-Thugs-
24275Grizzlies-Saguenéens-
26293Saguenéens-Raptors-
27304Hunters-Saguenéens-
28328Wolves-Saguenéens-
29346Vipers-Saguenéens-
30350Saguenéens-Warriors-
31369Saguenéens-CoolFm-
33389Saguenéens-Predateurs-
34403Predateurs-Saguenéens-
35412Saguenéens-Xpress-
36429Vandals-Saguenéens-
38449Saguenéens-Bayou-
39461TigersCats-Saguenéens-
40482Saguenéens-Bandits-
41491Saguenéens-Wolves-
42496Farmers-Saguenéens-
44526Chiwawa-Saguenéens-
45539Saguenéens-Outlaws-
47555Warriors-Saguenéens-
48574Goons-Saguenéens-
49581Saguenéens-TigersCats-
51603Saguenéens-Marmots-
52619Outlaws-Saguenéens-
54635Saguenéens-Barracudas-
55644Saguenéens-Vipers-
56658Twins-Saguenéens-
57679CoolFm-Saguenéens-
59696Saguenéens-Twins-
60707Igloos-Saguenéens-
61724Saguenéens-Vandals-
62739Supreme-Saguenéens-
64753Saguenéens-Chiwawa-
65769Bayou-Saguenéens-
66790Saguenéens-Scorpions-
67799Spartans-Saguenéens-
69820Saguenéens-Hunters-
70828Saguenéens-Husky-
71844Husky-Saguenéens-
72862Thugs-Saguenéens-
74877Saguenéens-Supreme-
75895Warriors-Saguenéens-
76911Saguenéens-Spartans-
77921Saguenéens-Igloos-
78929Marmots-Saguenéens-
80956Twins-Saguenéens-
82978Barracudas-Saguenéens-
84997Saguenéens-Smirnoff Ice-
851011Scorpions-Saguenéens-
871038Raptors-Saguenéens-
881046Saguenéens-Thugs-
891058Saguenéens-Grizzlies-
901072Rockets-Saguenéens-
921095Saguenéens-Farmers-
931103Xpress-Saguenéens-
941122Smirnoff Ice-Saguenéens-
971148Saguenéens-Snowbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981162Bandits-Saguenéens-
991172Saguenéens-Goons-
1001187Saguenéens-Marlies-
1011201Marlies-Saguenéens-
1021210Saguenéens-Snowbirds-
1051233Snowbirds-Saguenéens-
1081253Thugs-Saguenéens-
1091263Saguenéens-Rockets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets8030
Assistance2,0001,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 3000 - 100.00% 228,000$228,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
174,400$ 3,383,200$ 3,383,200$ 1,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 120,828$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
9,120,000$ 108 43,600$ 4,708,800$




Saguenéens 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
1Matthew Phillips413440114205.00%36516.45000400001038.46%01.2200
2Ben Meyers41342268812.50%05614.07101200000063.64%01.4200
3Samuel Laberge4000301560%15814.58000200000042.59%0000

Saguenéens 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

Saguenéens Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
49440000001789110000004313300000013588173350005570146454754010344448117317.65%20670.00%07015046.67%6012946.51%285848.28%987297264321
Total Saison régulière440000001789110000004313300000013588173350005570146454754010344448117317.65%20670.00%07015046.67%6012946.51%285848.28%987297264321
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Saguenéens 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

Saguenéens 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