Joliette Sportif
GP: 63 | W: 34 | L: 22 | OTL: 7 | P: 75
GF: 178 | GA: 173 | PP%: 16.16% | PK%: 79.30%
DG: Alex See-Cret | Morale : 56 | Moyenne d'Équipe : N/A
Prochain matchs #1065 vs Verdun Junior
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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 SP
1Brandon Hagel (R)X100.0077417980718585816472737071737275000
2Nick Merkley (R)XX100.0067318280758268807373716773747675000
3Tanner KeroXX100.0073438378788273798372706973847715000
4Barrett HaytonXX100.0078397980798478817573737177758075000
5Yevgeni Svechnikov (R)XX100.0084487584848588806871726276707065000
6Kody Clark (R)X100.0071448178758178766769706573676665000
7Dakota JoshuaX100.00784376788081838076737268737275705000
8Michael SgarbossaX100.0081407678768175777772706574919315000
9Lukas SedlakXX100.0072288881848684787973727673797915000
10Zach PochiroXX100.0084387875827469757569697172677135000
11Clark Bishop (R)X100.0077318378808176787770707570697455000
12Brogan RaffertyX100.0084427578798482785073648362707065000
13Mark FriedmanX100.0080477280758073755070618459736755000
14Lucas Johansen (R)X100.0071338479788672805071688662737265000
15Dennis Gilbert (R)X100.0088516776848285775072658757747465000
16Leon Gawanke (R)X100.0068328177808585795073668362697065000
17Adam AlmqvistX99.0077407678758077795474698369858555000
Rayé
1Anton ZlobinX100.0076298280767772776568696179858015000
2Dmitri MikhailovX100.0064318778717570725966676374808015000
3Nick ShoreX65.2680358179807976787771697272747915000
4J.T. CompherXX63.2782367886788071817471726773707255000
5Jacob Olofsson (R)X99.6870308880808281787571707369648265000
6Ty Smith (R)X96.9677387882768481805074728371656975000
MOYENNE D'ÉQUIPE96.617638807978827778667169737074757500
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 SP
1Kevin Lankinen100.008684868589878685868685757285000
2Marc-Andre Fleury100.008688808390878984848693999915000
Rayé
MOYENNE D'ÉQUIPE100.00868683849087888585868987865500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien85838182858370CAN5932,000,000$


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
1Lukas SedlakJoliette Sportif (CGY)C/LW6316334921100608918051998.89%37144923.004593419222472482249.33%11159333000.6803000421
2Yevgeni SvechnikovJoliette Sportif (CGY)LW/RW6319234219420122231744611110.92%12107517.085510411980224663143.48%691227000.7824000255
3Barrett HaytonJoliette Sportif (CGY)C/LW632120411526070521595610613.21%16122419.44671341196112112485141.22%1319214000.6713000171
4Tanner KeroJoliette Sportif (CGY)C/RW631425393200797614440909.72%15119218.93369241892026673151.97%7604914000.6501000232
5J.T. CompherJoliette Sportif (CGY)C/LW5214173102208333139429410.07%1376614.75571237156000004039.29%28848000.8100000131
6Brandon HagelJoliette Sportif (CGY)LW6216132952606941133456812.03%1998115.831236322138703052.94%518415000.5900000312
7Lucas JohansenJoliette Sportif (CGY)D628212916140341218831319.09%83119219.23336121430002154120.00%02961000.4900000102
8Adam AlmqvistJoliette Sportif (CGY)D59718255580791018930397.87%75132822.51257231900111137100.00%01775000.3800000121
9Ty SmithJoliette Sportif (CGY)D341113244220315863383617.46%4470020.6024619102000029310.00%03630000.6900000302
10Jacob OlofssonJoliette Sportif (CGY)C4691423-1280375313244926.82%1883718.20369291311012392049.42%4334510000.5501000021
11Nick MerkleyJoliette Sportif (CGY)C/RW55101121-3120474612332538.13%1379614.49000040110273347.16%1766618000.5300000013
12Brogan RaffertyJoliette Sportif (CGY)D63119208560931268131271.23%68121219.24044111670113130100.00%0442000.3300000000
13Michael SgarbossaJoliette Sportif (CGY)C617132012280463469245010.14%964310.54112140002121152.53%356439000.6201000021
14Clark BishopJoliette Sportif (CGY)C63811191140454463194712.70%1268710.9100004000000046.15%26258000.5500000113
15Kody ClarkJoliette Sportif (CGY)RW2551015520181237152713.51%128711.5100000000001070.00%10264001.0400000012
16Nick ShoreJoliette Sportif (CGY)C634711-660291738122410.53%73295.222351253000010057.69%78305000.6700000021
17Leon GawankeJoliette Sportif (CGY)D634610-3160431074821218.33%5393914.910000400002010.00%01044000.2100000010
18Zach PochiroJoliette Sportif (CGY)C/LW56448-1116074446325406.35%1067112.0000000000121053.33%45215000.2400000300
19Mark FriedmanJoliette Sportif (CGY)D57066-1340541105219200.00%7598417.27000000001130000.00%0555000.1200000000
20Dennis GilbertJoliette Sportif (CGY)D2206672203935219120.00%2740118.25033632000049000.00%0216000.3000000000
21Dakota JoshuaJoliette Sportif (CGY)C915622011318495.56%414516.16044427000000020.00%592000.8300000000
22Anton ZlobinJoliette Sportif (CGY)LW8000100002000.00%020.310000000000000.00%000000.0000000000
23Dmitri MikhailovJoliette Sportif (CGY)RW9000100128350.00%0778.6600000000000050.00%210000.0000000000
Stats d'équipe Total ou en Moyenne112117929547489456011641227192463711019.30%6111792815.99376510230018338917481419341349.95%3285893475000.53313000223328
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
1Colton PointCalgary Flames44251350.9202.632559221121398766200.50084412734
2Marc-Andre FleuryJoliette Sportif (CGY)177620.9132.679450242483269000.33331443410
3Kevin LankinenJoliette Sportif (CGY)52300.9113.21299001617993000.000058100
Stats d'équipe Total ou en Moyenne66342270.9172.6838042417020601128200.4551163631244


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam AlmqvistJoliette Sportif (CGY)D311990-01-22 09:51:37No174 Lbs5 ft11NoNoNo2Pro & Farm1,575,000$379,319$1,575,000$379,319$0$0$No1,575,000$
Anton ZlobinJoliette Sportif (CGY)LW291992-01-22 14:05:20No198 Lbs5 ft11NoNoNo1Pro & Farm1,250,000$301,047$1,250,000$301,047$0$0$No
Barrett HaytonJoliette Sportif (CGY)C/LW221999-01-22 13:02:22No190 Lbs6 ft1NoNoNo1Pro & Farm925,000$222,775$925,000$222,775$0$0$No
Brandon HagelJoliette Sportif (CGY)LW241997-01-02 23:51:31Yes174 Lbs5 ft11NoNoNo1Pro & Farm1,500,000$361,257$1,500,000$361,257$0$0$No
Brogan RaffertyJoliette Sportif (CGY)D271994-01-02 03:45:40No192 Lbs6 ft2NoNoNo1Pro & Farm1,300,000$313,089$1,300,000$313,089$0$0$No
Clark BishopJoliette Sportif (CGY)C261995-01-22 10:01:55Yes194 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$240,838$1,000,000$240,838$0$0$No1,000,000$
Dakota JoshuaJoliette Sportif (CGY)C261995-01-02 11:51:22No196 Lbs6 ft2NoNoNo2Pro & Farm925,000$222,775$925,000$222,775$0$0$No925,000$
Dennis GilbertJoliette Sportif (CGY)D261995-01-02 02:11:22Yes198 Lbs6 ft2NoNoNo1Pro & Farm1,300,000$313,089$1,300,000$313,089$0$0$No
Dmitri MikhailovJoliette Sportif (CGY)RW291992-01-22 14:38:14No174 Lbs5 ft11NoNoNo1Pro & Farm1,250,000$301,047$1,250,000$301,047$0$0$No
J.T. Compher (Sur la Masse Salariale)Joliette Sportif (CGY)C/LW271994-01-22 04:38:31No194 Lbs5 ft11NoNoNo1Pro & Farm1,900,000$457,592$1,900,000$457,592$0$0$Yes
Jacob OlofssonJoliette Sportif (CGY)C221999-01-22 08:37:46Yes192 Lbs6 ft2NoNoNo2Pro & Farm825,000$198,691$825,000$198,691$0$0$No825,000$
Kevin LankinenJoliette Sportif (CGY)G271994-01-22 07:55:56No185 Lbs6 ft2NoNoNo3Pro & Farm1,700,000$409,424$1,700,000$409,424$0$0$No1,700,000$1,700,000$
Kody ClarkJoliette Sportif (CGY)RW231998-01-02 23:37:27Yes185 Lbs6 ft3NoNoNo2Pro & Farm850,000$204,712$850,000$204,712$0$0$No850,000$
Leon GawankeJoliette Sportif (CGY)D231998-01-02 04:39:23Yes198 Lbs6 ft1NoNoNo1Pro & Farm900,000$216,754$900,000$216,754$0$0$No
Lucas JohansenJoliette Sportif (CGY)D251996-01-02 10:55:12Yes183 Lbs6 ft2NoNoNo1Pro & Farm850,000$204,712$850,000$204,712$0$0$No
Lukas SedlakJoliette Sportif (CGY)C/LW291992-01-22 14:06:16No205 Lbs6 ft0YesNoNo2Pro & Farm2,000,000$481,675$2,000,000$481,675$0$0$No2,000,000$
Marc-Andre FleuryJoliette Sportif (CGY)G381983-01-22 06:29:38No180 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$240,838$1,000,000$240,838$0$0$No
Mark FriedmanJoliette Sportif (CGY)D271994-01-02 00:05:34No185 Lbs5 ft11NoNoNo1Pro & Farm950,000$228,796$950,000$228,796$0$0$No
Michael SgarbossaJoliette Sportif (CGY)C301991-01-22 06:51:39No165 Lbs5 ft11NoNoNo1Pro & Farm875,000$210,733$875,000$210,733$0$0$No
Nick MerkleyJoliette Sportif (CGY)C/RW251996-01-02 09:13:17Yes194 Lbs5 ft10NoNoNo1Pro & Farm900,000$216,754$900,000$216,754$0$0$No
Nick Shore (Sur la Masse Salariale)Joliette Sportif (CGY)C301991-01-22 07:44:46No187 Lbs6 ft1NoNoNo1Pro & Farm850,000$204,712$850,000$204,712$0$0$Yes
Tanner KeroJoliette Sportif (CGY)C/RW301991-01-02 08:59:48No181 Lbs6 ft0NoNoNo1Pro & Farm875,000$210,733$875,000$210,733$0$0$No
Ty SmithJoliette Sportif (CGY)D221999-01-02 10:19:21Yes179 Lbs5 ft11NoNoNo1Pro & Farm900,000$216,754$900,000$216,754$0$0$No
Yevgeni SvechnikovJoliette Sportif (CGY)LW/RW261995-01-02 04:00:18Yes212 Lbs6 ft3NoNoNo1Pro & Farm1,500,000$361,257$1,500,000$361,257$0$0$No
Zach PochiroJoliette Sportif (CGY)C/LW281993-01-22 05:33:31No161 Lbs6 ft2NoNoNo1Pro & Farm1,100,000$264,921$1,100,000$264,921$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2526.88187 Lbs6 ft11.321,160,000$



Attaque à 5 contre 5
Ligne # Ailier Gauche Centre Ailier Droit
1Barrett HaytonLukas SedlakDakota Joshua
2Yevgeni SvechnikovNick MerkleyMichael Sgarbossa
3Tanner KeroBrandon Hagel
4Clark BishopZach PochiroKody Clark
Défense à 5 contre 5
Ligne # Défense Défense
1Adam AlmqvistDennis Gilbert
2Lucas JohansenBrogan Rafferty
3Leon GawankeMark Friedman
4Adam AlmqvistDennis Gilbert
Attaque en Avantage Numérique
Ligne # Ailier Gauche Centre Ailier Droit
1Barrett HaytonLukas SedlakYevgeni Svechnikov
2Dakota JoshuaTanner KeroMichael Sgarbossa
Défense en Avantage Numérique
Ligne # Défense Défense
1Adam AlmqvistDennis Gilbert
2Lucas JohansenBrogan Rafferty
Attaque à 4 en Désavantage Numérique
Ligne # Centre Ailier
1Lukas SedlakMichael Sgarbossa
2Yevgeni SvechnikovTanner Kero
Défense à 4 en Désavantage Numérique
Ligne # Défense Défense
1Adam AlmqvistMark Friedman
2Lucas JohansenBrogan Rafferty
3 joueurs en Désavantage Numérique
Ligne # Ailier Défense Défense
1Lukas SedlakAdam AlmqvistMark Friedman
2Brandon HagelLucas JohansenBrogan Rafferty
Attaque à 4 contre 4
Ligne # Centre Ailier
1Barrett Hayton
2Lukas SedlakTanner Kero
Défense à 4 contre 4
Ligne # Défense Défense
1Adam AlmqvistDennis Gilbert
2Lucas JohansenBrogan Rafferty
Attaque Dernière Minute
Ailier Gauche Centre Ailier Droit Défense Défense
Barrett HaytonLukas SedlakYevgeni SvechnikovAdam AlmqvistDennis Gilbert
Défense Dernière Minute
Ailier Gauche Centre Ailier Droit Défense Défense
Barrett HaytonLukas SedlakYevgeni SvechnikovAdam AlmqvistMark Friedman
Attaquants Supplémentaires
Normal Avantage Numérique Désavantage Numérique
, Clark Bishop, Barrett HaytonBarrett Hayton, Clark BishopLukas Sedlak
Défenseurs Supplémentaires
Normal Avantage Numérique Désavantage Numérique
Leon Gawanke, Mark Friedman, Lucas JohansenLeon GawankeMark Friedman, Lucas Johansen
Tirs de Pénalité
Lukas Sedlak, Barrett Hayton, Yevgeni Svechnikov, Tanner Kero, Clark Bishop
Gardien
#1 : Kevin Lankinen, #2 : Marc-Andre Fleury
Lignes d'Attaque Perso. en Prol.
Lukas Sedlak, Barrett Hayton, Yevgeni Svechnikov, Tanner Kero, Nick Merkley, Dakota Joshua, Dakota Joshua, , Brandon Hagel, Clark Bishop, Kody Clark
Lignes de Défense Perso. en Prol.
Adam Almqvist, Dennis Gilbert, Lucas Johansen, Brogan Rafferty, 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
LigueDomicileVisiteur
# 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
1Adirondack Phantoms11000000422000000000001100000042221.0004812005563567416236596663033104277228.57%20100.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
2Albany Devils11000000523000000000001100000052321.0005611005563567296236596663033212162150.00%6183.33%1590120848.84%661130050.85%38173751.70%14159011431512961485
3Binghamton Senators312000001013-3211000005501010000058-320.33310162600556356792623659666308237304815213.33%15753.33%1590120848.84%661130050.85%38173751.70%14159011431512961485
4Blainville-Boisbriand Armada31000200880210001006511000010023-140.667812200055635679062365966630102261452700.00%7185.71%0590120848.84%661130050.85%38173751.70%14159011431512961485
5Bridgeport Sound Tigers1010000014-31010000014-30000000000000.0001120055635673162365966630249621300.00%30100.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
6Charlotte Checkers1010000018-7000000000001010000018-700.000112005563567336236596663040161215200.00%6266.67%0590120848.84%661130050.85%38173751.70%14159011431512961485
7Chicago Wolves21000001532110000003031000000123-130.7505101501556356763623659666306328103411327.27%5180.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
8Chicoutimi Saguenéens21100000752110000004131010000034-120.500710170055635675662365966630631712379111.11%60100.00%1590120848.84%661130050.85%38173751.70%14159011431512961485
9Chisinau Pelicans2020000047-31010000024-21010000023-100.00047110055635675462365966630692224487228.57%12375.00%1590120848.84%661130050.85%38173751.70%14159011431512961485
10Connecticut Whale11000000101110000001010000000000021.000112015563567286236596663036161022400.00%50100.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
11Gatineau Olympiques22000000752000000000002200000075241.0007121900556356761623659666305878385120.00%4175.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
12Grand Rapids Griffins2020000037-41010000023-11010000014-300.0003690055635677562365966630481610476116.67%5180.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
13Henderson Silver Knights1010000013-21010000013-20000000000000.00012300556356729623659666303391020200.00%5180.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
14Houston Aeros22000000945220000009450000000000041.000916250055635676462365966630722712309222.22%60100.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
15Lake Erie Monsters21001000862100010004311100000043141.0008142200556356761623659666305419144410330.00%7442.86%0590120848.84%661130050.85%38173751.70%14159011431512961485
16Laval Chiefs2110000034-1110000002111010000013-220.5003580055635674562365966630693222339222.22%11281.82%0590120848.84%661130050.85%38173751.70%14159011431512961485
17Manitoba Moose1010000035-2000000000001010000035-200.0003690055635673662365966630449819600.00%4175.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
18Mercer Island Hafgufa11000000413000000000001100000041321.00048120055635672662365966630428121811100.00%60100.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
19Milwaukee Admirals22000000523110000003121100000021141.00058130055635675662365966630582318298112.50%9188.89%0590120848.84%661130050.85%38173751.70%14159011431512961485
20Norfolk Admirals3120000046-21010000013-22110000033020.333471101556356797623659666308539266510110.00%14192.86%1590120848.84%661130050.85%38173751.70%14159011431512961485
21Nunavik Natturaliit11000000734110000007340000000000021.00071320005563567326236596663038132256350.00%10100.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
22Providence Bruins1000010034-1000000000001000010034-110.500358005563567406236596663039211018400.00%4175.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
23Roberval Dwarfs6500100022157550000001913610001000321121.00022325400556356719762365966630202643211615213.33%160100.00%1590120848.84%661130050.85%38173751.70%14159011431512961485
24Rochester Americans1010000013-21010000013-20000000000000.00012300556356732623659666303513622300.00%3166.67%0590120848.84%661130050.85%38173751.70%14159011431512961485
25Rouyn-Noranda Huskies2010000136-31000000123-11010000013-210.250369005563567596236596663077201444700.00%7357.14%0590120848.84%661130050.85%38173751.70%14159011431512961485
26San Antonio Rampage21000001660110000003211000000134-130.750612180055635675662365966630772616343133.33%8275.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
27The Nuuk Vikings421010001284210010006242110000066060.750121830015563567131623659666301314024791616.25%12375.00%1590120848.84%661130050.85%38173751.70%14159011431512961485
Total63302204403178173532198031019671253111140130282102-20750.595178298476045563567196662365966630206067545411982293716.16%2274779.30%8590120848.84%661130050.85%38173751.70%14159011431512961485
29Trois-Rivières Lions631011002018221001000752421001001313090.75020385800556356720262365966630191513811220525.00%19384.21%1590120848.84%661130050.85%38173751.70%14159011431512961485
30Verdun Junior3120000010100110000006152020000049-520.33310142400556356791623659666301094128571119.09%14564.29%0590120848.84%661130050.85%38173751.70%14159011431512961485
31Wilkes-Barre/Scranton Penguins2020000015-41010000012-11010000003-300.0001230055635675962365966630531410281119.09%5260.00%0590120848.84%661130050.85%38173751.70%14159011431512961485
_Since Last GM Reset63302204403178173532198031019671253111140130282102-20750.595178298476045563567196662365966630206067545411982293716.16%2274779.30%8590120848.84%661130050.85%38173751.70%14159011431512961485
_Vs Conference4422130430213412014231530310178502821710012015670-14570.64813422135502556356713656236596663014144563008431622817.28%1503576.67%6590120848.84%661130050.85%38173751.70%14159011431512961485
_Vs Division984013001728-1144001100510-5544002001218-6211.16717264301556356727562365966630288897817736616.67%39879.49%2590120848.84%661130050.85%38173751.70%14159011431512961485

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6375W117829847619662060675454119804
Tous les Matchs
GPWLOTWOTL SOWSOL GFGA
6330224403178173
Matchs locaux
GPWLOTWOTL SOWSOL GFGA
3219831019671
Matchs Éxtérieurs
GPWLOTWOTL SOWSOL GFGA
311114130282102
Derniers 10 Matchs
WLOTWOTL SOWSOL
710101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2293716.16%2274779.30%8
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
623659666305563567
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
590120848.84%661130050.85%38173751.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
14159011431512961485


Derniers Match 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
1 - 2022-09-056Roberval Dwarfs2Joliette Sportif3WSommaire du Match
2 - 2022-09-067Joliette Sportif4Trois-Rivières Lions3WSommaire du Match
5 - 2022-09-0935Joliette Sportif3Gatineau Olympiques2WSommaire du Match
7 - 2022-09-1150Joliette Sportif2Blainville-Boisbriand Armada3LXSommaire du Match
8 - 2022-09-1259Laval Chiefs1Joliette Sportif2WSommaire du Match
14 - 2022-09-1892Roberval Dwarfs2Joliette Sportif3WSommaire du Match
16 - 2022-09-20109Blainville-Boisbriand Armada2Joliette Sportif4WSommaire du Match
19 - 2022-09-23125Joliette Sportif3Trois-Rivières Lions4LXSommaire du Match
20 - 2022-09-24134Joliette Sportif3Verdun Junior5LSommaire du Match
22 - 2022-09-26156Roberval Dwarfs3Joliette Sportif4WSommaire du Match
24 - 2022-09-28170Joliette Sportif1Trois-Rivières Lions3LSommaire du Match
26 - 2022-09-30188Trois-Rivières Lions3Joliette Sportif4WSommaire du Match
31 - 2022-10-05215Binghamton Senators2Joliette Sportif3WSommaire du Match
33 - 2022-10-07221Joliette Sportif2Norfolk Admirals0WSommaire du Match
34 - 2022-10-08241Joliette Sportif1Rouyn-Noranda Huskies3LSommaire du Match
37 - 2022-10-11256The Nuuk Vikings2Joliette Sportif3WXSommaire du Match
38 - 2022-10-12274Joliette Sportif3The Nuuk Vikings5LSommaire du Match
40 - 2022-10-14286Chicago Wolves0Joliette Sportif3WSommaire du Match
43 - 2022-10-17311Binghamton Senators3Joliette Sportif2LSommaire du Match
46 - 2022-10-20332Joliette Sportif3San Antonio Rampage4LXXSommaire du Match
47 - 2022-10-21343Roberval Dwarfs5Joliette Sportif6WSommaire du Match
50 - 2022-10-24371Norfolk Admirals3Joliette Sportif1LSommaire du Match
52 - 2022-10-26386Joliette Sportif5Trois-Rivières Lions3WSommaire du Match
54 - 2022-10-28397Joliette Sportif1Verdun Junior4LSommaire du Match
55 - 2022-10-29410Bridgeport Sound Tigers4Joliette Sportif1LSommaire du Match
59 - 2022-11-02437Rochester Americans3Joliette Sportif1LSommaire du Match
61 - 2022-11-04453Joliette Sportif1Norfolk Admirals3LSommaire du Match
63 - 2022-11-06461Joliette Sportif0Wilkes-Barre/Scranton Penguins3LSommaire du Match
64 - 2022-11-07476Nunavik Natturaliit3Joliette Sportif7WSommaire du Match
67 - 2022-11-10489Joliette Sportif1Grand Rapids Griffins4LSommaire du Match
70 - 2022-11-13510Henderson Silver Knights3Joliette Sportif1LSommaire du Match
74 - 2022-11-17535Joliette Sportif3Chicoutimi Saguenéens4LSommaire du Match
76 - 2022-11-19543Houston Aeros2Joliette Sportif3WSommaire du Match
80 - 2022-11-23570Wilkes-Barre/Scranton Penguins2Joliette Sportif1LSommaire du Match
82 - 2022-11-25586Joliette Sportif4Lake Erie Monsters3WSommaire du Match
84 - 2022-11-27601Trois-Rivières Lions2Joliette Sportif3WXSommaire du Match
86 - 2022-11-29618Joliette Sportif5Binghamton Senators8LSommaire du Match
87 - 2022-11-30632Joliette Sportif3The Nuuk Vikings1WSommaire du Match
89 - 2022-12-02643Connecticut Whale0Joliette Sportif1WSommaire du Match
90 - 2022-12-03659Joliette Sportif3Manitoba Moose5LSommaire du Match
93 - 2022-12-06672Grand Rapids Griffins3Joliette Sportif2LSommaire du Match
97 - 2022-12-10701Rouyn-Noranda Huskies3Joliette Sportif2LXXSommaire du Match
102 - 2022-12-15731Joliette Sportif1Laval Chiefs3LSommaire du Match
103 - 2022-12-16737Milwaukee Admirals1Joliette Sportif3WSommaire du Match
105 - 2022-12-18762Lake Erie Monsters3Joliette Sportif4WXSommaire du Match
109 - 2022-12-22789Joliette Sportif2Milwaukee Admirals1WSommaire du Match
111 - 2022-12-24799Houston Aeros2Joliette Sportif6WSommaire du Match
113 - 2022-12-26813Joliette Sportif2Chisinau Pelicans3LSommaire du Match
114 - 2022-12-27830Chisinau Pelicans4Joliette Sportif2LSommaire du Match
116 - 2022-12-29851Joliette Sportif4Mercer Island Hafgufa1WSommaire du Match
117 - 2022-12-30861Joliette Sportif4Gatineau Olympiques3WSommaire du Match
119 - 2023-01-01868Blainville-Boisbriand Armada3Joliette Sportif2LXSommaire du Match
122 - 2023-01-04892Joliette Sportif3Roberval Dwarfs2WXSommaire du Match
123 - 2023-01-05902The Nuuk Vikings0Joliette Sportif3WSommaire du Match
126 - 2023-01-08926Verdun Junior1Joliette Sportif6WSommaire du Match
129 - 2023-01-11944Joliette Sportif5Albany Devils2WSommaire du Match
131 - 2023-01-13962Chicoutimi Saguenéens1Joliette Sportif4WSommaire du Match
133 - 2023-01-15973Joliette Sportif4Adirondack Phantoms2WSommaire du Match
135 - 2023-01-17989Joliette Sportif3Providence Bruins4LXSommaire du Match
137 - 2023-01-19996Joliette Sportif1Charlotte Checkers8LSommaire du Match
138 - 2023-01-201002San Antonio Rampage2Joliette Sportif3WSommaire du Match
142 - 2023-01-241026Joliette Sportif2Chicago Wolves3LXXSommaire du Match
143 - 2023-01-251037Roberval Dwarfs1Joliette Sportif3WSommaire du Match
147 - 2023-01-291065Verdun Junior-Joliette Sportif-
150 - 2023-02-011094Joliette Sportif-Laval Chiefs-
152 - 2023-02-031102Laval Chiefs-Joliette Sportif-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
153 - 2023-02-041120Joliette Sportif-Roberval Dwarfs-
155 - 2023-02-061133Laval Chiefs-Joliette Sportif-
157 - 2023-02-081155Joliette Sportif-Gatineau Olympiques-
159 - 2023-02-101164Joliette Sportif-Springfield Falcons-
160 - 2023-02-111169Charlotte Checkers-Joliette Sportif-
162 - 2023-02-131181Joliette Sportif-Rouyn-Noranda Huskies-
164 - 2023-02-151202Blainville-Boisbriand Armada-Joliette Sportif-
165 - 2023-02-161213Joliette Sportif-Blainville-Boisbriand Armada-
167 - 2023-02-181228Joliette Sportif-Nunavik Natturaliit-
168 - 2023-02-191237Joliette Sportif-Verdun Junior-
169 - 2023-02-201248Oklahoma City Barons-Joliette Sportif-
172 - 2023-02-231261Joliette Sportif-Nunavik Natturaliit-
174 - 2023-02-251270Joliette Sportif-Blainville-Boisbriand Armada-
176 - 2023-02-271286Oklahoma City Barons-Joliette Sportif-
182 - 2023-03-051315Gatineau Olympiques-Joliette Sportif-
189 - 2023-03-121347Gatineau Olympiques-Joliette Sportif-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance63,99332,000
Assistance PCT99.99%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
9 3000 - 99.99% 84,992$2,719,755$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,686,431$ 2,625,000$ 2,625,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
13,743$ 2,164,312$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la Saison Dépenses Par JourDépenses de la Saison Éstimées
764,931$ 46 24,215$ 1,113,890$




LigueDomicileVisiteur
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