Day : 200
PHI - 2
CAR - 6
Day : 201

Joliette Sportif
GP: 82 | W: 49 | L: 24 | OTL: 9 | P: 107
GF: 301 | GA: 219 | PP%: 22.10% | PK%: 84.30%
DG: Alex See-Cret | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Laval Chiefs
40-38-4, 84pts
1
FINAL
6 Joliette Sportif
49-24-9, 107pts
Team Stats
W1SéquenceOTL1
23-16-2Fiche domicile29-8-4
17-22-2Fiche domicile20-16-5
5-5-0Derniers 10 matchs5-3-2
3.79Buts par match 3.67
3.84Buts contre par match 2.67
22.18%Pourcentage en avantage numérique22.10%
79.91%Pourcentage en désavantage numérique84.30%
Laval Chiefs
40-38-4, 84pts
4
FINAL
3 Joliette Sportif
49-24-9, 107pts
Team Stats
W1SéquenceOTL1
23-16-2Fiche domicile29-8-4
17-22-2Fiche domicile20-16-5
5-5-0Derniers 10 matchs5-3-2
3.79Buts par match 3.67
3.84Buts contre par match 2.67
22.18%Pourcentage en avantage numérique22.10%
79.91%Pourcentage en désavantage numérique84.30%
Meneurs d'équipe
Buts
Matthew Highmore
31
Passes
Yevgeni Svechnikov
52
Points
Yevgeni Svechnikov
82
Plus/Moins
Matthew Highmore
33
Victoires
Steve Mason
25
Pourcentage d’arrêts
Steve Mason
0.925

Statistiques d’équipe
Buts pour
301
3.67 GFG
Tirs pour
2516
30.68 Avg
Pourcentage en avantage numérique
22.1%
59 GF
Début de zone offensive
37.2%
Buts contre
219
2.67 GAA
Tirs contre
2589
31.57 Avg
Pourcentage en désavantage numérique
84.3%%
35 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralAlex See-Cret
EntraîneurMichel Therrien
DivisionDamphousse
ConférenceHamel
CapitaineAndrew Cogliano
Assistant #1Alexander Edler
Assistant #2Jared Spurgeon


Informations de l’aréna

Capacité3,000
Assistance2,999
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 50
Espoirs34


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Andrew Cogliano (C)XXX100.0075358784718585768072697276999915000361850,000$
2Cody Glass (R)X100.00732587818182808174767573768082750002411,000,000$
3Josh Williams (R)X100.0069458777788182766770706473656465000221800,000$
4Nick Merkley (R)XX100.00683088817582708073747266737778650002611,000,000$
5Yevgeni SvechnikovXX100.00854679858586888168747465767372650002711,250,000$
6Filip Hallander (R)XX100.0066308178808181797573727278746765000233850,000$
7Alan QuineXXX100.006330968376797678787271727279791500N03031,800,000$
8Dakota JoshuaX100.0079438078808182807574726873747755000271925,000$
9Lukas SedlakXX100.00732893818486847879737376738281150003012,000,000$
10Rihards BukartsXX100.0074308986788178816774736777818055000282850,000$
11J.T. CompherXX100.0084368286787969827373736773727455000282875,000$
12Matthew HighmoreXXX100.00673294887487878074737368767888650002711,500,000$
13Jacob Olofsson (R)X100.0071309380808279787572727269668365000231825,000$
14Niklas HanssonX100.0072358481788077785073638563766755000282875,000$
15Jared Spurgeon (A)X100.00654097807373717850716680718988705000341920,000$
16Leon Gawanke (R)X100.00693286788186867950746784627172650002411,500,000$
17Ty Smith (R)X100.00762581827882808058746683667472650002311,000,000$
18Adam AlmqvistX100.00784078787580777954767085698887150003211,575,000$
19Jason FramX100.007638867880807576507368856576776500N02821,400,000$
Rayé
1Kody Clark (R)X100.0071428678758176766871716673696765000241850,000$
2Rocco GrimaldiXX100.0066289690728077817673736478949415000301850,000$
3Alexander Edler (A)X100.0085427774807372815075688973999915000371925,000$
4Lucas Johansen (R)X100.00713389807986748050736987627674750002611,300,000$
5Jakob Ragnarsson (R)X100.0079458574798078765068608357686655000241725,000$
MOYENNE D’ÉQUIPE100.007335878178817979657370757178797500
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Ukko-Pekka Luukkonen (R)100.008484878789898888869087767585000241950,000$
2Steve Mason100.008487848989889386879090999915000351975,000$
Rayé
1Kevin Lankinen100.0086838585898786858686857673650002821,700,000$
MOYENNE D’ÉQUIPE100.00858585878988898686898784825500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien85838182858370CAN6022,000,000$


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
1Yevgeni SvechnikovJoliette Sportif (CGY)LW/RW8230528223540145552026912514.85%28145117.711017274322512371706249.80%25512413001.1304000575
2Matthew HighmoreJoliette Sportif (CGY)C/LW/RW82314677332061521917613916.23%17125115.26771431186000075247.60%22916021001.2300000734
3Lukas SedlakJoliette Sportif (CGY)C/LW823044743220105971806411716.67%36134116.3631619422320002625154.20%5009022011.1004000444
4J.T. CompherJoliette Sportif (CGY)C/LW7528386622200120651796110615.64%17108314.4581018281620001186148.90%77110917001.2212000363
5Cody GlassJoliette Sportif (CGY)C6421345517606458126489616.67%23105516.49111324421690000652252.82%4437413001.0402000512
6Nick MerkleyJoliette Sportif (CGY)C/RW82173552116088501294810013.18%16124915.2421315151840001102149.68%1558517000.8311000422
7Rihards BukartsJoliette Sportif (CGY)LW/RW5317234030235593491485918.68%1271213.45213439000014235.71%707812001.1202000133
8Michael McLeodCalgary FlamesC7216233913757942138537711.59%1389912.490551083000001048.39%7157714000.8701000111
9Andrew CoglianoJoliette Sportif (CGY)C/LW/RW82112637424010489151631147.28%46137216.7311243212392381154.14%5567626100.5401000032
10Dakota JoshuaJoliette Sportif (CGY)C77132235728011432115386611.30%1194812.3210117000003150.61%164656000.7400000023
11Jacob OlofssonJoliette Sportif (CGY)C77122234-2207462134481108.96%21102013.251122111013251048.77%4886222000.6700000201
12Leon GawankeJoliette Sportif (CGY)D82102333112156314610136379.90%127161919.75358262301012191200.00%0574000.4100000112
13Filip HallanderJoliette Sportif (CGY)C/LW8217163382008462175541049.71%22105712.900003140003282051.69%5618516000.6200000201
14Alan QuineJoliette Sportif (CGY)C/LW/RW751419334203541130547710.77%1191612.23000120224912351.61%626913000.7200000113
15Lucas JohansenJoliette Sportif (CGY)D61111930232804812288244612.50%79122720.13325983000071130.00%02356010.4900000121
16Jason FramJoliette Sportif (CGY)D767202719160821378345448.43%109134417.69044111250111121100.00%01757000.4000000033
17Adam AlmqvistJoliette Sportif (CGY)D6091524758012311383372710.84%109144324.06235161501123137210.00%02674000.3300000101
18Jared SpurgeonJoliette Sportif (CGY)D67220221940441024722214.26%94128919.24011111000053110.00%0564000.3400000011
19Niklas HanssonJoliette Sportif (CGY)D754172121460541047723305.19%80111714.900661097000286000.00%0253000.3800000020
20Ty SmithJoliette Sportif (CGY)D5641519732082747631275.26%71104418.6513411127000151010.00%0942000.3600000121
21Rocco GrimaldiJoliette Sportif (CGY)C/RW356713-92023209428556.38%1347213.511016220000220055.71%70777000.5501000110
22Josh WilliamsJoliette Sportif (CGY)RW35257312035163820185.26%841911.9700000000001050.00%14132000.3300000000
23Jakob RagnarssonJoliette Sportif (CGY)D36055914028402511150.00%5245412.630001400004000.00%0217000.2200000001
24Kody ClarkJoliette Sportif (CGY)RW9235440106106620.00%111412.69000000001130050.00%420000.8800000010
25Matthew PecaCalgary FlamesC813442014114169.09%011714.741012120001100052.38%84181000.6800000000
26Alexander EdlerJoliette Sportif (CGY)D191124180362611489.09%3431416.55101528000046000.00%0411000.1300000000
27Otto LeskinenCalgary FlamesD1000020100000.00%11616.950000000000000.00%001000.0000000000
Statistiques d’équipe totales ou en moyenne1605316553869302495151762164926851015164011.77%10512535815.805810816632422495813411533482250.61%51411357671120.69218000404644
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
1Steve MasonJoliette Sportif (CGY)42251140.9252.32240601931240669120.800103940514
2Ukko-Pekka LuukkonenJoliette Sportif (CGY)44241350.9112.822550421201346744210.85774334725
Statistiques d’équipe totales ou en moyenne86492490.9182.5849564321325861413331782741239


Nom du joueur POS Âge Date de naissance Termes Contrat Cap % Année 2023Année 2024Année 2025Année 2026Année 2027Année 2028Année 2029
Attaquant
Alan QuineC/LW/RW301992-01-22 05:56:48NT TW 30.00%1,800,000$1,800,000$1,800,000$UFA [Age: 33]
Andrew CoglianoC/LW/RW361986-01-22 18:29:38TW 10.00%850,000$UFA [Age: 37]
Cody GlassC241998-01-02 10:39:40TW 10.00%1,000,000$RFA ( Groupe: 2 ) [Age: 25]
Dakota JoshuaC271995-01-02 11:51:22TW 10.00%925,000$UFA [Age: 28]
Filip HallanderC/LW231999-01-02 07:46:48TW 30.00%850,000$850,000$850,000$RFA ( Groupe: 2 ) [Age: 26]
J.T. CompherC/LW281994-01-22 04:38:31TW 20.00%875,000$875,000$UFA [Age: 30]
Jacob OlofssonC231999-01-22 08:37:46TW 10.00%825,000$RFA ( Groupe: 2 ) [Age: 24]
Josh WilliamsRW222000-01-02 21:39:58TW 10.00%800,000$RFA ( Groupe: 1 )[Age: 23]
Kody ClarkRW241998-01-02 23:37:27TW 10.00%850,000$RFA ( Groupe: 2 ) [Age: 25]
Lukas SedlakC/LW301992-01-22 14:06:16TW 10.00%2,000,000$UFA [Age: 31]
Matthew HighmoreC/LW/RW271995-01-22 08:54:02TW 10.00%1,500,000$UFA [Age: 28]
Nick MerkleyC/RW261996-01-02 09:13:17TW 10.00%1,000,000$RFA ( Groupe: 2 ) [Age: 27]
Rihards BukartsLW/RW281994-01-22 17:54:58TW 20.00%850,000$850,000$UFA [Age: 30]
Rocco GrimaldiC/RW301992-01-22 13:44:14TW 10.00%850,000$UFA [Age: 31]
Yevgeni SvechnikovLW/RW271995-01-02 04:00:18TW 10.00%1,250,000$UFA [Age: 28]
MOYENNE (15)27.000.00%0$4,375,000$2,650,000$0$0$0$0$
Défenseur
Adam AlmqvistD321990-01-22 09:51:37TW 10.00%1,575,000$UFA [Age: 33]
Alexander EdlerD371985-01-22 12:29:38TW 10.00%925,000$UFA [Age: 38]
Jakob RagnarssonD241998-01-02 23:33:38TW 10.00%725,000$RFA ( Groupe: 2 ) [Age: 25]
Jared SpurgeonD341988-01-22 06:29:38TW 10.00%920,000$UFA [Age: 35]
Jason FramD281994-01-22 13:16:12NT TW 20.00%1,400,000$1,400,000$UFA [Age: 30]
Leon GawankeD241998-01-02 04:39:23TW 10.00%1,500,000$RFA ( Groupe: 2 ) [Age: 25]
Lucas JohansenD261996-01-02 10:55:12TW 10.00%1,300,000$RFA ( Groupe: 2 ) [Age: 27]
Niklas HanssonD281994-01-02 05:49:09TW 20.00%875,000$875,000$UFA [Age: 30]
Ty SmithD231999-01-02 07:51:12TW 10.00%1,000,000$RFA ( Groupe: 2 ) [Age: 24]
MOYENNE (9)28.440.00%0$2,275,000$0$0$0$0$0$
Gardiens
Kevin LankinenG281994-01-22 07:55:56TW 20.00%1,700,000$1,700,000$UFA [Age: 30]
Steve MasonG351987-01-22 06:29:38TW 10.00%975,000$UFA [Age: 36]
Ukko-Pekka LuukkonenG241998-01-02 07:07:21TW 10.00%950,000$RFA ( Groupe: 2 ) [Age: 25]

Légendes des Termes : FV = Ballotage forcé / NT = Non-échange / IN = Blessure / TW = Contract Deux Côté ('Can Play Pro' + 'Can Play Farm')

Note: Les montants de cap salarial pour l’année courant et le % de cap salariale sont basé sur un calcul du plafond salariale simple (Salaire Moyen ou Salaire de l’année selon vos options). Si votre plafond salarial est basé sur la calcul complexe, les résultats de cette analyse pourrait être légèrement incorrects. Le plafond salarial professionnel de l’année en cours est : 87,000,050$.




Attaque à 5 contre 5
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Yevgeni SvechnikovJ.T. CompherRihards Bukarts25122
2Cody GlassLukas SedlakMatthew Highmore25122
3Nick MerkleyAndrew CoglianoAlan Quine25122
4Dakota JoshuaFilip HallanderJacob Olofsson25122
Défense à 5 contre 5
Ligne # Défense Défense % temps PHY DF OF
1Leon GawankeAdam Almqvist25122
2Niklas HanssonTy Smith25122
3Jason FramJared Spurgeon25122
4Leon GawankeAdam Almqvist25122
Attaque en avantage numérique
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Yevgeni SvechnikovJ.T. CompherCody Glass60122
2Rihards BukartsLukas SedlakMatthew Highmore40122
Défense en avantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Leon GawankeJason Fram60122
2Ty SmithNiklas Hansson40122
Attaque à 4 en désavantage numérique
Ligne # Centre Ailier % temps PHY DF OF
1Yevgeni SvechnikovAndrew Cogliano60122
2Jacob OlofssonJ.T. Compher40122
Défense à 4 en désavantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Leon GawankeAdam Almqvist60122
2Niklas HanssonJason Fram40122
3 joueurs en désavantage numérique
Ligne # Ailier % temps PHY DF OF Défense Défense % temps PHY DF OF
1Yevgeni Svechnikov60122Leon GawankeAdam Almqvist60122
2Andrew Cogliano40122Niklas HanssonJason Fram40122
Attaque à 4 contre 4
Ligne # Centre Ailier % temps PHY DF OF
1Yevgeni SvechnikovRihards Bukarts60122
2Alan QuineFilip Hallander40122
Défense à 4 contre 4
Ligne # Défense Défense % temps PHY DF OF
1Leon GawankeAdam Almqvist60122
2Jared SpurgeonJason Fram40122
Attaque dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Yevgeni SvechnikovAndrew CoglianoRihards BukartsTy SmithAdam Almqvist
Défense dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Yevgeni SvechnikovAndrew CoglianoMatthew HighmoreRihards BukartsAdam Almqvist
Attaquants supplémentaires
Normal Avantage numérique Désavantage numérique
Yevgeni Svechnikov, Jacob Olofsson, Alan QuineJ.T. Compher, Yevgeni SvechnikovAlan Quine
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Leon Gawanke, Jared Spurgeon, Adam AlmqvistLeon GawankeJared Spurgeon, Adam Almqvist
Tirs de pénalité
Yevgeni Svechnikov, Lukas Sedlak, J.T. Compher, Rihards Bukarts, Nick Merkley
Gardien
#1 : Ukko-Pekka Luukkonen, #2 : Steve Mason
Lignes d’attaque personnalisées en prolongation
Yevgeni Svechnikov, Andrew Cogliano, Rihards Bukarts, Nick Merkley, Lukas Sedlak, Matthew Highmore, Matthew Highmore, J.T. Compher, Alan Quine, Filip Hallander, Jacob Olofsson
Lignes de défense personnalisées en prolongation
Ty Smith, Adam Almqvist, Jared Spurgeon, Jason Fram, Leon Gawanke


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
1Albany Devils11000000642110000006420000000000021.00069150096111904318668557833139144163266.67%20100.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
2Binghamton Senators412000101214-231200000912-31000001032140.5001220320096111904121866855783311254014811119.09%7185.71%0804158450.76%827162550.89%558105153.09%1873122018486481239620
3Blainville-Boisbriand Armada42200000911-22110000046-22110000055040.500917260096111904113866855783311415320739333.33%10280.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
4Bridgeport Sound Tigers2010010068-2000000000002010010068-210.25061016009611190461866855783315118143711218.18%7185.71%1804158450.76%827162550.89%558105153.09%1873122018486481239620
5Charlotte Checkers32100000981110000003032110000068-240.66791524019611190410486685578331853514681218.33%7185.71%1804158450.76%827162550.89%558105153.09%1873122018486481239620
6Chicago Wolves31200000131302110000012931010000014-320.33313223510961119049186685578331843616629333.33%8275.00%1804158450.76%827162550.89%558105153.09%1873122018486481239620
7Chicoutimi Saguenéens311001008801000010034-12110000054130.500811190096111904928668557833191331656400.00%8275.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
8Chisinau Pelicans31100010550100000102112110000034-140.6675712109611190472866855783311062818641000.00%9188.89%0804158450.76%827162550.89%558105153.09%1873122018486481239620
9Connecticut Whale1010000023-1000000000001010000023-100.000235009611190435866855783313512617500.00%3166.67%0804158450.76%827162550.89%558105153.09%1873122018486481239620
10Danbury Trashers11000000413110000004130000000000021.00047110096111904398668557833120102164125.00%10100.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
11Gatineau Olympiques42100100131122110000045-12100010096350.62513223500961119041298668557833111539299614321.43%8362.50%0804158450.76%827162550.89%558105153.09%1873122018486481239620
12Grand Rapids Griffins330000001578110000008352200000074361.00015284300961119048686685578331933018739222.22%9277.78%0804158450.76%827162550.89%558105153.09%1873122018486481239620
13Hamilton Bulldogs11000000422110000004220000000000021.0004711009611190434866855783313110621300.00%30100.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
14Henderson Silver Knights2010000159-41000000134-11010000025-310.250591400961119045586685578331831916324250.00%80100.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
15Houston Aeros11000000413110000004130000000000021.0004590096111904328668557833125108252150.00%40100.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
16Lake Erie Monsters3210000013103110000005142110000089-140.66713223500961119049286685578331833912619111.11%6183.33%0804158450.76%827162550.89%558105153.09%1873122018486481239620
17Laval Chiefs531001002212103200010015782110000075270.700224062009611190414686685578331174753810815533.33%19289.47%1804158450.76%827162550.89%558105153.09%1873122018486481239620
18Manitoba Moose11000000734000000000001100000073421.00071320009611190431866855783312494196233.33%110.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
19Mercer Island Hafgufa1010000024-2000000000001010000024-200.000246009611190434866855783312719813200.00%4250.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
20Milwaukee Admirals3210000015114110000006332110000098140.667152843009611190411186685578331903286616425.00%40100.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
21Norfolk Admirals1010000001-1000000000001010000001-100.00000000961119042986685578331238029400.00%000.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
22Nunavik Natturaliit42000101151052200000010372000010157-260.75015274201961119041178668557833115568227110220.00%11190.91%0804158450.76%827162550.89%558105153.09%1873122018486481239620
23Providence Bruins11000000514110000005140000000000021.00058130096111904308668557833125166254125.00%30100.00%1804158450.76%827162550.89%558105153.09%1873122018486481239620
24Roberval Dwarfs5310000118992110000075232000001114770.70018325001961119041528668557833116379269313538.46%130100.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
25Rochester Americans21100000770211000007700000000000020.50071219009611190467866855783316325144410330.00%7185.71%0804158450.76%827162550.89%558105153.09%1873122018486481239620
26Rouyn-Noranda Huskies320010001248210010006331100000061561.000122234009611190495866855783311004317709333.33%7185.71%0804158450.76%827162550.89%558105153.09%1873122018486481239620
27San Antonio Rampage11000000211110000002110000000000021.0002350096111904268668557833134171020100.00%50100.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
28Springfield Falcons11000000523110000005230000000000021.00057120096111904338668557833132136154125.00%3166.67%0804158450.76%827162550.89%558105153.09%1873122018486481239620
29The Nuuk Vikings55000000277202200000012393300000015411101.00027487500961119041538668557833114360289918316.67%14285.71%0804158450.76%827162550.89%558105153.09%1873122018486481239620
30Trois-Rivières Lions53200000211563210000015782110000068-260.60021375800961119041498668557833116579329218422.22%16568.75%1804158450.76%827162550.89%558105153.09%1873122018486481239620
31Verdun Junior411011001011-1210001004402010100067-150.62510162610961119041238668557833113353269511327.27%13284.62%0804158450.76%827162550.89%558105153.09%1873122018486481239620
32Wilkes-Barre/Scranton Penguins1010000056-1000000000001010000056-100.00059140096111904338668557833131116267114.29%30100.00%0804158450.76%827162550.89%558105153.09%1873122018486481239620
Total82452402623301219824127801311165996641181601312136120161070.65230152082133961119042516866855783312589103346416832675922.10%2233584.30%6804158450.76%827162550.89%558105153.09%1873122018486481239620
_Since Last GM Reset82452402623301219824127801311165996641181601312136120161070.65230152082133961119042516866855783312589103346416832675922.10%2233584.30%6804158450.76%827162550.89%558105153.09%1873122018486481239620
_Vs Conference61341602522228158703018701310122764631169012121068224830.6802283996273296111904184286685578331196178734012601854222.70%1622783.33%3804158450.76%827162550.89%558105153.09%1873122018486481239620
_Vs Division1311701300423755730020020812844011002229-7271.03842671091196111904408866855783313991417025956814.29%35585.71%2804158450.76%827162550.89%558105153.09%1873122018486481239620

Total pour les joueurs
Matchs joués Points Séquence Buts Passes Points Tirs pour Tirs contre Tirs bloqués Minutes de pénalités Mises en échec Buts en filet désert Blanchissages
82107OTL1301520821251625891033464168333
Tous les matchs
GP W L OTW OTL SOWSOL GF GA
8245242623301219
Matchs locaux
GP W L OTW OTL SOWSOL GF GA
41278131116599
Matchs extérieurs
GP W L OTW OTL SOWSOL GF GA
4118161312136120
Derniers 10 matchs
W L OTW OTL SOWSOL
530200
Tentatives en avantage numérique Buts en avantage numérique % en avantage numérique Tentatives en désavantage numérique Buts contre en désavantage numérique % en désavantage numérique Buts pour en désavantage numérique
2675922.10%2233584.30%6
Tirs en 1e période Tirs en 2e période Tirs en 3e période Tirs en 4e période Buts en 1e période Buts en 2e période Buts en 3e période Buts en 4e période
8668557833196111904
Mises en jeu
Gagnées en zone offensive Total en zone offensive % gagnées en zone offensive Gagnées en zone défensive Total en zone défensive % gagnées en zone défensive Gagnées en zone neutre Total en zone neutre % gagnées en zone neutre
804158450.76%827162550.89%558105153.09%
Temps avec la rondelle
En zone offensive Contrôle en zone offensive En zone défensive Contrôle en zone défensive En zone neutre Contrôle en zone neutre
1873122018486481239620


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
Jour:2
215Trois-Rivières Lions1Joliette Sportif5WSommaire du match
Jour:3
331Joliette Sportif3Gatineau Olympiques4LXSommaire du match
Jour:7
753Laval Chiefs2Joliette Sportif6WSommaire du match
Jour:9
968Joliette Sportif2Roberval Dwarfs3LXXSommaire du match
Jour:10
1078Nunavik Natturaliit0Joliette Sportif5WSommaire du match
Jour:12
12103Trois-Rivières Lions2Joliette Sportif7WSommaire du match
Jour:14
14115Joliette Sportif2Laval Chiefs4LSommaire du match
Jour:17
17133Joliette Sportif6The Nuuk Vikings1WSommaire du match
Jour:19
19142Rochester Americans4Joliette Sportif3LSommaire du match
Jour:22
22167Joliette Sportif3Chicoutimi Saguenéens1WSommaire du match
Jour:23
23176Joliette Sportif3Charlotte Checkers1WSommaire du match
Jour:25
25187Rouyn-Noranda Huskies1Joliette Sportif2WXSommaire du match
Jour:29
29208Binghamton Senators1Joliette Sportif3WSommaire du match
Jour:31
31229Joliette Sportif3Grand Rapids Griffins1WSommaire du match
Jour:32
32242The Nuuk Vikings2Joliette Sportif6WSommaire du match
Jour:35
35263Joliette Sportif4The Nuuk Vikings1WSommaire du match
Jour:36
36272Joliette Sportif0Chisinau Pelicans2LSommaire du match
Jour:39
39286The Nuuk Vikings1Joliette Sportif6WSommaire du match
Jour:42
42306Joliette Sportif5Wilkes-Barre/Scranton Penguins6LSommaire du match
Jour:43
43318Henderson Silver Knights4Joliette Sportif3LXXSommaire du match
Jour:45
45338Rochester Americans3Joliette Sportif4WSommaire du match
Jour:49
49358Joliette Sportif4Grand Rapids Griffins3WSommaire du match
Jour:51
51369Joliette Sportif2Henderson Silver Knights5LSommaire du match
Jour:53
53382Joliette Sportif2Verdun Junior4LSommaire du match
Jour:54
54390Houston Aeros1Joliette Sportif4WSommaire du match
Jour:56
56413Chicago Wolves2Joliette Sportif7WSommaire du match
Jour:58
58425Joliette Sportif2Connecticut Whale3LSommaire du match
Jour:60
60440Joliette Sportif3Charlotte Checkers7LSommaire du match
Jour:63
63454Gatineau Olympiques2Joliette Sportif3WSommaire du match
Jour:65
65474Joliette Sportif2Chicoutimi Saguenéens3LSommaire du match
Jour:66
66488Charlotte Checkers0Joliette Sportif3WSommaire du match
Jour:68
68502Joliette Sportif2Nunavik Natturaliit3LXSommaire du match
Jour:70
70519Albany Devils4Joliette Sportif6WSommaire du match
Jour:72
72540Joliette Sportif2Mercer Island Hafgufa4LSommaire du match
Jour:73
73549Joliette Sportif4Roberval Dwarfs0WSommaire du match
Jour:74
74559Chisinau Pelicans1Joliette Sportif2WXXSommaire du match
Jour:77
77585Chicago Wolves7Joliette Sportif5LSommaire du match
Jour:79
79599Joliette Sportif5The Nuuk Vikings2WSommaire du match
Jour:80
80616Joliette Sportif2Trois-Rivières Lions5LSommaire du match
Jour:81
81625Rouyn-Noranda Huskies2Joliette Sportif4WSommaire du match
Jour:83
83646Joliette Sportif6Gatineau Olympiques2WSommaire du match
Jour:85
85660Joliette Sportif4Trois-Rivières Lions3WSommaire du match
Jour:86
86671Springfield Falcons2Joliette Sportif5WSommaire du match
Jour:88
88689Chicoutimi Saguenéens4Joliette Sportif3LXSommaire du match
Jour:90
90707Joliette Sportif6Rouyn-Noranda Huskies1WSommaire du match
Jour:91
91722Milwaukee Admirals3Joliette Sportif6WSommaire du match
Jour:94
94748Danbury Trashers1Joliette Sportif4WSommaire du match
Jour:98
98777Nunavik Natturaliit3Joliette Sportif5WSommaire du match
Jour:101
101798Joliette Sportif3Chisinau Pelicans2WSommaire du match
Jour:103
103810Grand Rapids Griffins3Joliette Sportif8WSommaire du match
Jour:105
105827Joliette Sportif5Roberval Dwarfs1WSommaire du match
Jour:109
109844Roberval Dwarfs1Joliette Sportif5WSommaire du match
Jour:110
110858Joliette Sportif0Norfolk Admirals1LSommaire du match
Jour:112
112876Gatineau Olympiques3Joliette Sportif1LSommaire du match
Jour:115
115888Joliette Sportif7Manitoba Moose3WSommaire du match
Jour:117
117906Joliette Sportif5Laval Chiefs1WSommaire du match
Jour:119
119916Roberval Dwarfs4Joliette Sportif2LSommaire du match
Jour:121
121938Joliette Sportif7Lake Erie Monsters5WSommaire du match
Jour:122
122950Binghamton Senators5Joliette Sportif2LSommaire du match
Jour:124
124969Joliette Sportif1Lake Erie Monsters4LSommaire du match
Jour:125
125983Binghamton Senators6Joliette Sportif4LSommaire du match
Jour:127
1271000Joliette Sportif3Blainville-Boisbriand Armada2WSommaire du match
Jour:128
1281016Lake Erie Monsters1Joliette Sportif5WSommaire du match
Jour:131
1311040Verdun Junior2Joliette Sportif1LXSommaire du match
Jour:134
1341055Joliette Sportif3Nunavik Natturaliit4LXXSommaire du match
Jour:135
1351073Trois-Rivières Lions4Joliette Sportif3LSommaire du match
Jour:140
1401101Blainville-Boisbriand Armada1Joliette Sportif3WSommaire du match
Jour:144
1441125Joliette Sportif2Blainville-Boisbriand Armada3LSommaire du match
Jour:145
1451133Verdun Junior2Joliette Sportif3WSommaire du match
Jour:148
1481148Joliette Sportif3Binghamton Senators2WXXSommaire du match
Jour:151
1511164Providence Bruins1Joliette Sportif5WSommaire du match
Jour:153
1531181Joliette Sportif4Bridgeport Sound Tigers5LSommaire du match
Jour:155
1551197Joliette Sportif4Verdun Junior3WXSommaire du match
Jour:157
1571207San Antonio Rampage1Joliette Sportif2WSommaire du match
Jour:159
1591223Joliette Sportif3Milwaukee Admirals7LSommaire du match
Jour:161
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1611236Blainville-Boisbriand Armada5Joliette Sportif1LSommaire du match
Jour:164
1641255Joliette Sportif6Milwaukee Admirals1WSommaire du match
Jour:166
1661261Joliette Sportif2Bridgeport Sound Tigers3LXSommaire du match
Jour:167
1671279Hamilton Bulldogs2Joliette Sportif4WSommaire du match
Jour:169
1691285Joliette Sportif1Chicago Wolves4LSommaire du match
Jour:176
1761318Laval Chiefs1Joliette Sportif6WSommaire du match
Jour:183
1831353Laval Chiefs4Joliette Sportif3LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1 Niveau 2

Revenu
Matchs à domicile restants Assistance moyenne - % Revenu moyen par match Revenu annuel à ce jour Capacité Popularité de l’équipe

Dépenses
Dépenses annuelles à ce jour Salaire total des joueurs Salaire total moyen des joueurs Salaire des entraineurs
Plafond salarial par jour Plafond salarial à ce jour Joueurs Inclus dans le plafond salarial Joueurs exclut du plafond Salarial

Estimation
Revenus de la saison estimés Jours restants de la saison Dépenses par jour Dépenses de la saison estimées




Joliette Sportif 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

Joliette Sportif 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

Joliette Sportif Statistiques de l'Équipe de Carrière

Total Domicile Visiteur
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

Joliette Sportif 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

Joliette Sportif 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