Association Québécoise de Hockey Simulé - Saguenéens 

Saguenéens

GP: 27 | W: 11 | L: 12 | OTL: 4 | P: 26
GF: 88 | GA: 86 | PP%: 20.83% | PK%: 77.78%
DG: Nicolas Gagnon | Morale : 90 | Moyenne d'Équipe : 59
Prochain matchs #426 vs Raptors
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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
1Ryan JohansenX98.00664579828179666689646856869083090690
2Mason MarchmentX98.00755163827979826430636459698780090670
3Matt MartinX99.00996674768256985530525761669381090640
4Michael Eyssimont (R)X100.00915463825661655630555867678675090620
5Jordan GreenwayX100.00854584749368755230475862668677090620
6Andrew AgozzinoX100.00594595795582405130485472659285090600
7Jonny BrodzinskiX100.00564584757250404983445462508976090590
8Ben MeyersX100.00604591786150474981405857508471090580
9Nathan Smith (R)X100.00524590795450404530405063508471090540
10Justin BaileyX100.00504595748150404530405055508875090540
11Michael StoneX100.00714875797255585730496569679280090660
12Chase Priskie (R)X100.00504595785350404530405055508774090560
Rayé
1Tanner Laczynski (R)X100.00674593786350405082455564658572090590
2Fredrik OlofssonX100.00724593786551405130495355658673090560
3Luke PhilpX100.00504592785258404730445062508776090550
4Gabriel LandeskogX100.00504595747650404530405055509178090540
5Dominic ToninatoX71.01524592767050404730445057508976090540
6Alexander ChmelevskiX100.00504595776050404530405055508471090530
7Mitchell Chaffee (R)X100.00504595766950404530405055508572090530
8Chase De LeoX100.00504595785350404530405055508875090530
9Rocco GrimaldiX100.00504595784450404530405055509077090520
10Jon MerrillX100.00604581786963885230515375669180090670
11Gavin Bayreuther (A)X100.00704883826166625730595570678878090660
MOYENNE D'ÉQUIPE98.5262478778665752513947546159887609059
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
1David Rittich99.0075557289777475747772999081090670
2Kevin Mandolese (R)100.0070507683707070707070998270090630
Rayé
1Matthew Murray (R)100.0070506185707070707070708876090620
2Calvin Pickard100.0070404089656565656565658976090590
3Josef Korenar (R)100.0070404083656565656565658471090580
MOYENNE D'ÉQUIPE99.807147588669696969696880877509062
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerard Gallant89968895947352CAN6041,200,000$


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'ÉquipePOS GP 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
1Mason MarchmentSaguenéens (CHI)LW23111728-8240422411531729.57%1349121.3944816540003500043.94%663715001.1402000102
2Ryan JohansenSaguenéens (CHI)C16101727-1140214272263413.89%835322.1133618390001360065.65%428238001.5301000120
3Michael EyssimontSaguenéens (CHI)C2781725224061389737618.25%1246917.4005516500000131043.21%4422413001.0600000212
4Andrew AgozzinoSaguenéens (CHI)C2781624900454170225211.43%1147217.491122180001152141.37%3072013001.0200000032
5Jordan GreenwaySaguenéens (CHI)LW2786143100602365273712.31%441515.37000000000411025.00%321411000.6701000112
6Matt MartinSaguenéens (CHI)LW236612210045256915338.70%943418.8711214400001431044.83%291111000.5502000200
7Justin BaileySaguenéens (CHI)RW27571275521352351721.74%545616.89202451000000045.45%2288000.5300001000
8Jonny BrodzinskiSaguenéens (CHI)C275712760242845123211.11%1342915.9100004000050062.33%146619000.5600000010
9Dominic ToninatoSaguenéens (CHI)RW27921111010243238183523.68%1144016.30213450000001039.29%2828010.5000101210
10Jon MerrillSaguenéens (CHI)D1618921001734281273.57%2540525.32022435000042000.00%0823000.4400000001
11Nathan SmithSaguenéens (CHI)RW2744840019252261418.18%738414.2300004000001150.00%18415000.4200000110
12Gavin BayreutherSaguenéens (CHI)D2017842022212516174.00%2346123.06011341000151000.00%0718000.3500000001
13Michael StoneSaguenéens (CHI)D27077118026314417120.00%3251919.26011235000043000.00%11533000.2700000000
14Nick BlankenburgChicago BlackhawksD9066-12011153314180.00%1123726.34000820000122000.00%0813000.5100000000
15Tanner LaczynskiSaguenéens (CHI)C16134-4001512104910.00%919612.2501101000041055.56%1849000.4100000010
16Chase PriskieSaguenéens (CHI)D2612310092012548.33%1943016.54101319000027000.00%0416000.1400000001
17Gabriel LandeskogSaguenéens (CHI)LW4011200244130.00%0358.9900000000030060.00%500000.5600000000
18Ben MeyersSaguenéens (CHI)LW21101-97512201081210.00%827012.88000000001211066.67%12712000.0700010000
19Mitchell ChaffeeSaguenéens (CHI)RW41012001320050.00%0369.190000000000000.00%113000.5400000000
Stats d'équipe Total ou en Moyenne39480133213241422047747378427646910.20%220693917.611420349447000094239250.87%1555203248010.6106112101111
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1David RittichSaguenéens (CHI)229840.9153.0013016065764374000.6005220141
2Kevin MandoleseSaguenéens (CHI)62400.8903.50326001917282000.0000527000
Stats d'équipe Total ou en Moyenne28111240.9103.1016276084936456000.60052727141


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alexander ChmelevskiSaguenéens (CHI)RW241999-06-09No188 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm750,000$0$0$No
Andrew AgozzinoSaguenéens (CHI)C321991-01-03No187 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm750,000$0$0$No
Ben MeyersSaguenéens (CHI)LW241998-11-15No194 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm950,000$0$0$No
Calvin PickardSaguenéens (CHI)G311992-04-15No210 Lbs6 ft1NoNoNo5Sans RestrictionPro & Farm1,385,000$0$0$No
Chase De LeoSaguenéens (CHI)C271995-10-25No185 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm926,000$0$0$No
Chase PriskieSaguenéens (CHI)D271996-03-19Yes185 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
David RittichSaguenéens (CHI)G311992-08-19No205 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm1,500,000$0$0$No
Dominic Toninato (Sur la Masse Salariale)Saguenéens (CHI)RW291994-03-09No201 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm825,000$0$0$Yes
Fredrik OlofssonSaguenéens (CHI)LW271996-05-27No190 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Gabriel LandeskogSaguenéens (CHI)LW301992-11-23No215 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm8,000,000$0$0$No
Gavin BayreutherSaguenéens (CHI)D291994-05-12No196 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm950,000$0$0$No
Jon MerrillSaguenéens (CHI)D311992-02-03No204 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm1,025,000$0$0$No
Jonny BrodzinskiSaguenéens (CHI)C301993-06-19No212 Lbs6 ft0NoNoNo5Sans RestrictionPro & Farm950,000$0$0$No
Jordan GreenwaySaguenéens (CHI)LW261997-02-16No231 Lbs6 ft6NoNoNo4Avec RestrictionPro & Farm1,250,000$0$0$No
Josef KorenarSaguenéens (CHI)G251998-01-31Yes185 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm750,000$0$0$No
Justin BaileySaguenéens (CHI)RW281995-07-01No214 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm900,000$0$0$No
Kevin MandoleseSaguenéens (CHI)G232000-08-22Yes180 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Luke PhilpSaguenéens (CHI)C271995-11-06No181 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Mason MarchmentSaguenéens (CHI)LW281995-06-18No210 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm3,750,000$0$0$No
Matt MartinSaguenéens (CHI)LW341989-05-08No220 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm1,025,000$0$0$No
Matthew MurraySaguenéens (CHI)G251998-02-02Yes200 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Michael EyssimontSaguenéens (CHI)C271996-09-09Yes180 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm850,000$0$0$No
Michael StoneSaguenéens (CHI)D331990-06-07No210 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm950,000$0$0$No
Mitchell ChaffeeSaguenéens (CHI)RW251998-01-26Yes201 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm800,000$0$0$No
Nathan SmithSaguenéens (CHI)RW241998-10-19Yes177 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm800,000$0$0$No
Rocco GrimaldiSaguenéens (CHI)LW301993-02-08No180 Lbs5 ft6NoNoNo3Sans RestrictionPro & Farm982,000$0$0$No
Ryan JohansenSaguenéens (CHI)C311992-07-31No218 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm1,025,000$0$0$No
Tanner LaczynskiSaguenéens (CHI)C261997-06-01Yes190 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm950,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2828.00198 Lbs6 ft13.001,281,893$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mason MarchmentRyan Johansen35122
2Matt MartinMichael EyssimontJustin Bailey30122
3Jordan GreenwayAndrew AgozzinoNathan Smith25122
4Ben MeyersJonny BrodzinskiRyan Johansen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
2Michael StoneChase Priskie30122
3Jonny Brodzinski25122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mason MarchmentRyan Johansen55122
2Matt MartinMichael EyssimontJustin Bailey45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Michael StoneChase Priskie45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan JohansenMason Marchment55122
2Matt MartinJordan Greenway45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Michael StoneChase Priskie45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Johansen5512255122
2Mason Marchment45122Michael StoneChase Priskie45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan JohansenMason Marchment55122
2Matt MartinJordan Greenway45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Michael StoneChase Priskie45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mason MarchmentRyan Johansen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mason MarchmentRyan Johansen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Andrew Agozzino, , Ben MeyersAndrew Agozzino, Ben Meyers
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Stone, Chase Priskie, Michael StoneChase Priskie,
Tirs de Pénalité
Ryan Johansen, Mason Marchment, Matt Martin, Jordan Greenway, Michael Eyssimont
Gardien
#1 : David Rittich, #2 : Kevin Mandolese


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
1Bandits11000000624110000006240000000000021.000610160014462803320634128593692282150.00%110.00%028154851.28%32763251.74%19939949.87%533286602240495251
2Chiwawa21000001550000000000002100000155030.7505813001446280592063412859933112493133.33%6183.33%028154851.28%32763251.74%19939949.87%533286602240495251
3Outlaws2020000016-51010000013-21010000003-300.000112001446280402063412859712310258112.50%40100.00%028154851.28%32763251.74%19939949.87%533286602240495251
4Predateurs11000000431110000004310000000000021.0004711001446280482063412859368618400.00%3166.67%028154851.28%32763251.74%19939949.87%533286602240495251
5Raptors20100001610-41010000025-31000000145-110.25061117001446280472063412859801818502150.00%9188.89%028154851.28%32763251.74%19939949.87%533286602240495251
6Scorpions3020010039-61010000014-32010010025-310.1673580014462808820634128591122531569111.11%13469.23%028154851.28%32763251.74%19939949.87%533286602240495251
7Snowbirds2020000057-21010000034-11010000023-100.0005813001446280852063412859542714274125.00%7271.43%028154851.28%32763251.74%19939949.87%533286602240495251
8Spartans321000001495110000005232110000097240.66714213500144628010420634128599436266411436.36%8187.50%028154851.28%32763251.74%19939949.87%533286602240495251
9Supreme2010010046-21000010001-11010000045-110.250461000144628044206341285963156367114.29%30100.00%028154851.28%32763251.74%19939949.87%533286602240495251
10Thugs32100000990110000003212110000067-140.66791726001446280932063412859113272260900.00%6266.67%028154851.28%32763251.74%19939949.87%533286602240495251
Total2711120020288862136600100434031456001024546-1260.481881482360014462808352063412859936271196533721520.83%811877.78%028154851.28%32763251.74%19939949.87%533286602240495251
12Vipers1010000067-11010000067-10000000000000.0006111700144628034206341285941128173266.67%3166.67%028154851.28%32763251.74%19939949.87%533286602240495251
13Warriors440000002391422000000103722000000136781.0002339620014462801262063412859942631788225.00%13376.92%028154851.28%32763251.74%19939949.87%533286602240495251
14Xpress1010000024-21010000024-20000000000000.00024600144628034206341285949141025200.00%5180.00%028154851.28%32763251.74%19939949.87%533286602240495251
_Since Last GM Reset2711120020288862136600100434031456001024546-1260.481881482360014462808352063412859936271196533721520.83%811877.78%028154851.28%32763251.74%19939949.87%533286602240495251
_Vs Conference21611002025771-14935001002531-61236001023240-8160.38157951520014462806422063412859757222153402601220.00%621379.03%028154851.28%32763251.74%19939949.87%533286602240495251
_Vs Division1758002024655-9623001001418-41135001023237-5140.4124676122001446280520206341285960917912934245920.00%521178.85%028154851.28%32763251.74%19939949.87%533286602240495251

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2726W18814823683593627119653300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
27111202028886
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
136601004340
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
145601024546
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
721520.83%811877.78%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
20634128591446280
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
28154851.28%32763251.74%19939949.87%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
533286602240495251


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
2 - 2024-04-0715Saguenéens4Raptors5LXXSommaire du Match
3 - 2024-04-0827Saguenéens1Scorpions2LXSommaire du Match
4 - 2024-04-0934Thugs2Saguenéens3WSommaire du Match
6 - 2024-04-1158Warriors2Saguenéens5WSommaire du Match
8 - 2024-04-1371Raptors5Saguenéens2LSommaire du Match
9 - 2024-04-1494Supreme1Saguenéens0LXSommaire du Match
10 - 2024-04-15103Saguenéens7Spartans2WSommaire du Match
12 - 2024-04-17124Saguenéens2Chiwawa3LXXSommaire du Match
13 - 2024-04-18134Scorpions4Saguenéens1LSommaire du Match
14 - 2024-04-19145Saguenéens3Thugs5LSommaire du Match
15 - 2024-04-20157Saguenéens4Supreme5LSommaire du Match
17 - 2024-04-22177Saguenéens5Warriors3WSommaire du Match
18 - 2024-04-23185Spartans2Saguenéens5WSommaire du Match
20 - 2024-04-25209Snowbirds4Saguenéens3LSommaire du Match
21 - 2024-04-26223Saguenéens2Snowbirds3LSommaire du Match
23 - 2024-04-28241Saguenéens0Outlaws3LSommaire du Match
24 - 2024-04-29248Bandits2Saguenéens6WSommaire du Match
26 - 2024-05-01274Predateurs3Saguenéens4WSommaire du Match
27 - 2024-05-02287Saguenéens3Thugs2WSommaire du Match
29 - 2024-05-04302Xpress4Saguenéens2LSommaire du Match
30 - 2024-05-05322Vipers7Saguenéens6LSommaire du Match
32 - 2024-05-07338Saguenéens3Chiwawa2WSommaire du Match
33 - 2024-05-08350Saguenéens2Spartans5LSommaire du Match
34 - 2024-05-09366Warriors1Saguenéens5WSommaire du Match
36 - 2024-05-11383Saguenéens1Scorpions3LSommaire du Match
37 - 2024-05-12397Outlaws3Saguenéens1LSommaire du Match
39 - 2024-05-14413Saguenéens8Warriors3WSommaire du Match
40 - 2024-05-15426Raptors-Saguenéens-
42 - 2024-05-17444Scorpions-Saguenéens-
44 - 2024-05-19461Saguenéens-TigersCats-
45 - 2024-05-20476Saguenéens-CoolFm-
46 - 2024-05-21491Farmers-Saguenéens-
48 - 2024-05-23511TigersCats-Saguenéens-
50 - 2024-05-25530Smirnoff Ice-Saguenéens-
51 - 2024-05-26549Saguenéens-Raptors-
52 - 2024-05-27562Twins-Saguenéens-
53 - 2024-05-28575Saguenéens-Marlies-
55 - 2024-05-30592Saguenéens-Supreme-
57 - 2024-06-01604Wolves-Saguenéens-
59 - 2024-06-03622Saguenéens-Bandits-
60 - 2024-06-04635Marlies-Saguenéens-
62 - 2024-06-06656Vandals-Saguenéens-
63 - 2024-06-07670Saguenéens-Hunters-
64 - 2024-06-08685Rockets-Saguenéens-
66 - 2024-06-10704Saguenéens-Farmers-
67 - 2024-06-11716Hunters-Saguenéens-
68 - 2024-06-12726Saguenéens-Igloos-
70 - 2024-06-14747CoolFm-Saguenéens-
71 - 2024-06-15763Saguenéens-Goons-
72 - 2024-06-16779Igloos-Saguenéens-
73 - 2024-06-17792Saguenéens-Bayou-
74 - 2024-06-18807Bayou-Saguenéens-
76 - 2024-06-20825Saguenéens-Vandals-
77 - 2024-06-21840Marmots-Saguenéens-
79 - 2024-06-23859Saguenéens-Predateurs-
80 - 2024-06-24869Saguenéens-Snowbirds-
81 - 2024-06-25884Grizzlies-Saguenéens-
83 - 2024-06-27894Saguenéens-Husky-
84 - 2024-06-28910Goons-Saguenéens-
86 - 2024-06-30933Saguenéens-Barracudas-
88 - 2024-07-02946Spartans-Saguenéens-
89 - 2024-07-03963Barracudas-Saguenéens-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
91 - 2024-07-05985Saguenéens-Vipers-
92 - 2024-07-06997Snowbirds-Saguenéens-
93 - 2024-07-071010Saguenéens-Smirnoff Ice-
95 - 2024-07-091023Saguenéens-Rockets-
96 - 2024-07-101039Supreme-Saguenéens-
99 - 2024-07-131059Chiwawa-Saguenéens-
100 - 2024-07-141072Saguenéens-Grizzlies-
101 - 2024-07-151086Saguenéens-Wolves-
103 - 2024-07-171100Saguenéens-Twins-
104 - 2024-07-181103Husky-Saguenéens-
105 - 2024-07-191112Saguenéens-Marmots-
107 - 2024-07-211136Chiwawa-Saguenéens-
110 - 2024-07-241157Saguenéens-Xpress-
112 - 2024-07-261173Thugs-Saguenéens-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets8030
Assistance26,00013,000
Assistance PCT100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
25 3000 - 100.00% 228,000$2,964,000$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,664,673$ 3,506,800$ 3,418,300$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,250,501$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
5,700,000$ 74 41,653$ 3,082,322$




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
Saison Régulière
458231300558330029010412012022321561352141111803351144155-1196300486786225012111617250057694895165244575845713852327532.33%2014478.11%4952164457.91%900163954.91%786131359.86%156285720226931399714
46824220055553382637541211002431173130434121100312416513332114338558896236912313616259666192598669242577363013042529236.51%2125076.42%10903174851.66%859166751.53%656129750.58%164594519197011416717
472711120020288862136600100434031456001024546-126881482360014462808352063412859936271196533721520.83%811877.78%028154851.28%32763251.74%19939949.87%533286602240495251
Total Saison Régulière191846201012131072663987954728047633723056796373406577354334202367261192191845133290280335931144322142222143580618021283322255618232.73%49411277.33%142136394054.21%2086393852.97%1641300954.54%374120884544163433111684
Séries
45624000002426-2312000001416-23120000010100424396300681001664567522195673012617529.41%15286.67%06411754.70%6113046.92%489351.61%115541195912967
Total Séries624000002426-2312000001416-23120000010100424396300681001664567522195673012617529.41%15286.67%06411754.70%6113046.92%489351.61%115541195912967