Sharks

GP: 82 | W: 52 | L: 23 | OTL: 7 | P: 111
GF: 406 | GA: 336 | PP%: 21.24% | PK%: 80.98%
DG: Marc-Andre Bois | Morale : 50 | Moyenne d'Équipe : 47
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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
1Daniel CarrXX100.00523589696562496035586163484236050580
2Shawn MatthiasXX100.00544386658364535185465669486154050580
3Jimmy HayesXX100.00625087617563605335525460564945050560
4Anton LanderXX100.00523586715757514685464671474842050550
5Curtis McKenzieX100.00555664657159435635565659484236050550
6Miikka SalomakiXX100.00693581666961594842484864484237050550
7Matt BeleskeyXX100.00566169667064494735454852486154050530
8Justin BaileyXX100.00563590697557374635415068484136050530
9Nicholas Baptiste (R)X100.00523584667155415135435861483734050530
10Alexander Nylander (R)XX100.00473595656559354035384260483734050490
11Connor CarrickX100.00574380696166644835474968484437050580
12Casey NelsonX100.00533588685863424935494970484136050570
13Scott HarringtonX100.00623587626862424735484568484137050560
14David WarsofskyX100.00463592704956364335533269484440050540
15Ian McCoshen (R)X100.00734380617257414335364962483734050540
16Andrew MacWilliamX100.00493570577042303535403176453532050520
Rayé
1Nick Paul (R)XX100.00533595618255364440355260484036050510
2Kevin Roy (R)XX100.00453588724955374535385258423532050500
3Kerby RychelX100.00513583647453354035384260483734050490
4Tyler RandellX100.00585656686841334035324757463532050480
5Anton Rodin (R)XX100.00413594675746333535363358473532050460
6Casey BaileyXX100.00483594676846333335333361473734050460
7Patrice CormierXX100.00543593667540313249323257464642050460
8Rasmus Asplund (R)X100.00454545455345454545454545453230050450
9Justin Kirkland (R)XX100.00394343435437373943393943413230050410
10Noah Gregor (R)X100.00404040405540404040404040403230050410
11Austin Wagner (R)X100.00384040405937373840383840393230050400
12Otto Somppi (R)X100.00373737376237373737373737373230050390
13Cooper Marody (R)X100.00353737375235353537353537363230050380
14Reid Duke (R)X100.00353737376235353537353537363230050380
15Rourke Chartier (R)X100.00353737376135353537353537363230050380
16Matthew Phillips (R)XX100.00373737374037373737373737373230050380
17Clark Bishop (R)X100.00333737375633333337333337353230050370
18Vincent Dunn (R)XX100.00333737375133333337333337353230050370
19Nicklas GrossmanX100.00653583597962404435434569476254050580
20Brandon GormleyX100.00543584606452393735343967464136050520
21Andy Welinski (R)X100.00493595676853353435353261483532050510
22David MusilX100.00453580576946293235323177453532050510
23Joel HanleyX100.00483589656151353135303266484036050510
24Trevor Carrick (R)X100.00583555686043353135303266483734050510
25Zach Whitecloud (R)X100.00453595606954353135303261483532050490
26Libor Hajek (R)X100.00454545456945454545454545453230050460
27Kale Clague (R)X100.00454545455445454545454545453230050450
28Cam Dineen (R)X100.00434343435743434343434343433230050440
29Matt Finn (R)X100.00414545456439394145414145433230050440
30Brennan Menell (R)X100.00434545455142424345434345443230050440
31Ludwig Bystrom (R)X100.00414545455039394145414145433230050430
32Kyle Wood (R)X100.00394343436437373943393943413230050420
33Riley Stillman (R)X100.00404040406540404040404040403230050420
34Alexis Vanier (R)X100.00364040407235353640363640383230050410
35Ryan Graves (R)X100.00364040407435353640363640383230050410
36Aaron Haydon (R)X100.00333737376433333337333337353230050380
MOYENNE D'ÉQUIPE100.0047396655644840414040415444383405048
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
1Garret Sparks100.0043458678434343434259583532050490
2Matt Hackett100.0042456862424041423956554238050460
Rayé
1Thatcher Demko (R)100.0035455971354545354565453532050460
2Samuel Montembeault (R)100.0042434273424141414141403230050440
3Tyler Wall (R)100.0037373782373737373737373230050420
4Brandon Whitney (R)100.0035373573343333333333333230050380
5Patrik Bartosak (R)100.0035373571343333333333333230050380
MOYENNE D'ÉQUIPE100.003841527338393938394643343205043
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Anton LanderSharks (San)C/LW82786914732822015941066318147711.76%113185622.64161733130276011322111066.89%262800161.58313102161211
2Justin BaileySharks (San)LW/RW827751128358015521459817543112.88%93145817.7922830143219000007543.80%12100061.7511000151114
3Nicholas BaptisteSharks (San)RW827026962649512320649114836914.26%69114613.9910120000007449.46%9300041.67120001576
4Alexander NylanderSharks (San)LW/RW16915249115142884345710.71%1324215.15000714000012251.79%5600001.9800001151
5Kerby RychelSharks (San)LW1671017-220193163243111.11%628017.5222414350001221050.00%2000001.2100000211
6Nick PaulSharks (San)C/LW1631215-311512346919544.35%1129518.4904414360001320052.96%40600001.0100001020
Stats d'équipe Total ou en Moyenne29424418342765213354829231968581141912.40%305528117.964131723105830115277281163.51%3324001161.62516104493833
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 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
Aaron HaydonSharks (San)D211996-01-06Yes197 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Alexander NylanderSharks (San)LW/RW191998-03-02Yes192 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
Alexis VanierSharks (San)D211995-12-21Yes215 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Andrew MacWilliamSharks (San)D271990-03-25No214 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm750,000$75,000$0$NoLien
Andy WelinskiSharks (San)D241993-04-27Yes206 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Anton LanderSharks (San)C/LW261991-04-24No184 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm900,000$90,000$0$NoLien
Anton RodinSharks (San)LW/RW261990-11-21Yes185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm825,000$82,500$0$NoLien
Austin WagnerSharks (San)LW201997-06-23Yes185 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Brandon GormleySharks (San)D251992-02-18No196 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm822,000$82,200$0$NoLien
Brandon WhitneySharks (San)G231994-05-11Yes193 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm525,000$52,500$0$NoLien
Brennan MenellSharks (San)D201997-05-24Yes172 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Cam DineenSharks (San)D191998-06-19Yes184 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm742,500$74,250$0$NoLien
Casey BaileySharks (San)LW/RW251991-10-27No195 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm900,000$90,000$0$NoLien
Casey NelsonSharks (San)D251992-07-18No185 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Clark BishopSharks (San)C211996-05-29Yes182 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Connor CarrickSharks (San)D231994-04-13No192 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm1,250,000$125,000$0$NoLien
Cooper MarodySharks (San)C201996-12-20Yes173 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Curtis McKenzieSharks (San)LW261991-02-22No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm670,000$67,000$0$NoLien
Daniel CarrSharks (San)LW/RW251991-11-01No193 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm892,000$89,200$0$NoLien
David MusilSharks (San)D241993-04-09No207 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm925,000$92,500$0$NoLien
David WarsofskySharks (San)D271990-05-30No170 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm1,500,000$150,000$0$NoLien
Garret SparksSharks (San)G241993-06-28No207 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm670,000$67,000$0$NoLien
Ian McCoshenSharks (San)D221995-08-05Yes217 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm825,000$82,500$0$NoLien
Jimmy HayesSharks (San)LW/RW271989-11-21No215 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm2,000,000$200,000$0$NoLien
Joel HanleySharks (San)D261991-06-08No191 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm1,750,000$175,000$0$NoLien
Justin BaileySharks (San)LW/RW221995-07-01No214 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm642,000$64,200$0$NoLien
Justin KirklandSharks (San)C/LW211996-08-02Yes175 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Kale ClagueSharks (San)D191998-06-05Yes177 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm767,500$76,750$0$NoLien
Kerby RychelSharks (San)LW221994-10-07No213 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Kevin RoySharks (San)LW/RW241993-05-20Yes170 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Kyle WoodSharks (San)D211996-05-04Yes195 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Libor HajekSharks (San)D191998-02-04Yes210 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm742,500$74,250$0$NoLien
Ludwig BystromSharks (San)D231994-07-20Yes169 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Matt BeleskeySharks (San)LW/RW291988-06-07No203 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm2,750,000$275,000$0$NoLien
Matt FinnSharks (San)D231994-02-24Yes199 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm825,000$82,500$0$NoLien
Matt HackettSharks (San)G271990-03-07No171 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm800,000$80,000$0$NoLien
Matthew PhillipsSharks (San)C/RW191998-04-06Yes155 Lbs5 ft7NoNoNo4Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Miikka SalomakiSharks (San)LW/RW241993-03-09No203 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm807,000$80,700$0$NoLien
Nicholas BaptisteSharks (San)RW221995-08-04Yes205 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm640,000$64,000$0$NoLien
Nick PaulSharks (San)C/LW221995-03-20Yes230 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm667,000$66,700$0$NoLien
Nicklas GrossmanSharks (San)D321985-01-22No230 Lbs6 ft4NoNoNo4Sans RestrictionPro & Farm2,500,000$250,000$0$NoLien
Noah GregorSharks (San)C191998-07-28Yes180 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Otto SomppiSharks (San)C191998-01-12Yes188 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Patrice CormierSharks (San)C/LW271990-06-14No215 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm725,000$72,500$0$NoLien
Patrik BartosakSharks (San)G241993-03-29Yes194 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm525,000$52,500$0$NoLien
Rasmus AsplundSharks (San)C191997-12-03Yes176 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Reid DukeSharks (San)C211996-01-28Yes190 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Riley StillmanSharks (San)D191998-03-09Yes199 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Rourke ChartierSharks (San)C211996-04-03Yes190 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Ryan GravesSharks (San)D221995-05-21Yes220 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm660,000$66,000$0$NoLien
Samuel MontembeaultSharks (San)G201996-10-30Yes195 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Scott HarringtonSharks (San)D241993-03-10No207 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm550,000$55,000$0$NoLien
Shawn MatthiasSharks (San)C/LW291988-02-19No231 Lbs6 ft4NoNoNo3Sans RestrictionPro & Farm2,100,000$210,000$0$NoLien
Thatcher DemkoSharks (San)G211995-12-08Yes192 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Trevor CarrickSharks (San)D231994-07-04Yes186 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Tyler RandellSharks (San)RW261991-06-15No198 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,750,000$175,000$0$NoLien
Tyler WallSharks (San)G191998-01-14Yes215 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Vincent DunnSharks (San)C/LW221995-09-14Yes172 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm603,000$60,300$0$NoLien
Zach WhitecloudSharks (San)D201996-11-28Yes209 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
5922.88195 Lbs6 ft12.37878,398$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anton Lander40122
2Justin Bailey30122
3Nicholas Baptiste20122
4Anton Lander10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anton Lander60122
2Justin Bailey40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anton Lander60122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anton Lander6012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anton Lander60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anton Lander
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anton Lander
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Nicholas Baptiste, , Nicholas Baptiste
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
Anton Lander, , , ,
Gardien
#1 : , #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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
1Admirals43100000191452200000010552110000099060.7501936550017013592151521224128011889212340478119421.05%21195.24%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
2Baby Hawks33000000201282200000014861100000064261.0002036560017013592151241224128011889210826214714321.43%8275.00%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
3Bears21000100871110000007521000010012-130.750814220017013592158912241280118892833216309111.11%8275.00%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
4Bruins220000001055110000004131100000064241.0001016260017013592159012241280118892741610268337.50%50100.00%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
5Cabaret Lady Mary Ann2100000111921000000167-11100000052330.750112031001701359215135122412801188928518214310110.00%6350.00%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
6Caroline2200000015691100000010371100000053241.000152742001701359215121122412801188927117213417952.94%8187.50%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
7Chiefs3200001015105220000009541000001065161.000152338001701359215101122412801188921103524447228.57%12283.33%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
8Chill31200000151142110000011651010000045-120.333152439001701359215114122412801188921012440491200.00%20290.00%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
9Comets431000002019122000000118321100000911-260.7502034540017013592152111224128011889215745286817423.53%14471.43%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
10Cougars201000101112-1100000107611010000046-220.50011172800170135921580122412801188921093424584125.00%12283.33%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
11Crunch220000001486110000006331100000085341.000142438001701359215114122412801188925418173014642.86%6183.33%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
12Heat431000002111102110000098122000000123960.7502141621017013592152321224128011889211929228016425.00%100100.00%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
13Jayhawks411000111719-22000001199021100000810-250.6251730470017013592151751224128011889218554668912216.67%21576.19%11515294251.50%1309275547.51%740155547.59%1801125821656271022474
14Las Vegas4310000014104220000009452110000056-160.7501425390017013592151621224128011889212228267712216.67%13376.92%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
15Manchots210010001174110000005231000100065141.0001118290017013592157512241280118892632321348337.50%8275.00%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
16Marlies20200000514-91010000028-61010000036-300.000591400170135921574122412801188928021253811218.18%9188.89%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
17Minnesota311000101416-21100000052320100010914-540.6671422360017013592151401224128011889213751346411436.36%120100.00%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
18Monarchs422000001918122000000106420200000912-340.500193655001701359215191122412801188921896836831417.14%18572.22%11515294251.50%1309275547.51%740155547.59%1801125821656271022474
19Monsters210000101064100000104311100000063341.0001016260017013592159712241280118892863112376233.33%6183.33%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
20Monsters311000011416-221000001111101010000035-230.5001425390017013592151091224128011889212033496510220.00%21576.19%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
21Oceanics312000001314-11010000024-2211000001110120.333132538001701359215102122412801188921694332598112.50%15473.33%11515294251.50%1309275547.51%740155547.59%1801125821656271022474
22Oil Kings550000002812162200000011293300000017107101.0002853810117013592152401224128011889213039517623521.74%16193.75%21515294251.50%1309275547.51%740155547.59%1801125821656271022474
23Phantoms2100000110731000000134-11100000073430.7501019290017013592157612241280118892792834368225.00%14285.71%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
24Rocket21100000752110000004041010000035-220.50071320011701359215120122412801188924320638800.00%20100.00%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
25Senators201000011013-31010000057-21000000156-110.25010162600170135921592122412801188926919134211327.27%5260.00%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
26Sound Tigers2100000112841000000145-11100000083530.75012193100170135921593122412801188925817155011218.18%4175.00%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
27Spiders211000001113-21010000047-31100000076120.5001121320017013592159412241280118892105302137700.00%7185.71%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
28Stars30101010131301010000035-220001010108240.6671322350017013592151141224128011889210434345114321.43%11463.64%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
29Thunder2020000079-21010000034-11010000045-100.000710170017013592158412241280118892101322229900.00%7271.43%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
Total824323021764063367041248000452061555141191502131200181191110.6774067081114121701359215373412241280118892312293480115393397221.24%3266280.98%51515294251.50%1309275547.51%740155547.59%1801125821656271022474
31Wolf Pack2010001012120100000108711010000045-120.5001217290017013592151331224128011889288291344900.00%7357.14%01515294251.50%1309275547.51%740155547.59%1801125821656271022474
_Since Last GM Reset824323021764063367041248000452061555141191502131200181191110.6774067081114121701359215373412241280118892312293480115393397221.24%3266280.98%51515294251.50%1309275547.51%740155547.59%1801125821656271022474
_Vs Conference36151401123172158141886000228274818780110190846400.55617229646800170135921515561224128011889214684533576751502416.00%1542981.17%21515294251.50%1309275547.51%740155547.59%1801125821656271022474
_Vs Division166800000757508430000037361825000003839-1120.3757512520001170135921578912241280118892615178138304751621.33%521178.85%01515294251.50%1309275547.51%740155547.59%1801125821656271022474

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82111SOL1406708111437343122934801153912
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8243232176406336
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412480045206155
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4119152131200181
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3397221.24%3266280.98%5
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
122412801188921701359215
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
1515294251.50%1309275547.51%740155547.59%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1801125821656271022474


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 - 2018-10-034Admirals3Sharks4WSommaire du Match
3 - 2018-10-0516Sharks4Monarchs5LSommaire du Match
6 - 2018-10-0833Sharks8Sound Tigers3WSommaire du Match
7 - 2018-10-0936Sharks7Phantoms3WSommaire du Match
9 - 2018-10-1149Sharks4Wolf Pack5LSommaire du Match
12 - 2018-10-1471Sharks7Spiders6WSommaire du Match
16 - 2018-10-1898Crunch3Sharks6WSommaire du Match
18 - 2018-10-20114Sound Tigers5Sharks4LXXSommaire du Match
21 - 2018-10-23126Sharks4Chill5LSommaire du Match
24 - 2018-10-26146Sharks5Caroline3WSommaire du Match
26 - 2018-10-28164Sharks3Admirals4LSommaire du Match
28 - 2018-10-30177Wolf Pack7Sharks8WXXSommaire du Match
30 - 2018-11-01191Monsters3Sharks4WXXSommaire du Match
32 - 2018-11-03206Phantoms4Sharks3LXXSommaire du Match
35 - 2018-11-06223Minnesota2Sharks5WSommaire du Match
37 - 2018-11-08234Sharks4Stars3WXSommaire du Match
38 - 2018-11-09239Sharks6Chiefs5WXXSommaire du Match
40 - 2018-11-11258Heat5Sharks8WSommaire du Match
42 - 2018-11-13272Chill5Sharks2LSommaire du Match
44 - 2018-11-15285Marlies8Sharks2LSommaire du Match
46 - 2018-11-17302Chiefs3Sharks6WSommaire du Match
49 - 2018-11-20317Oil Kings0Sharks6WSommaire du Match
52 - 2018-11-23346Comets5Sharks6WSommaire du Match
53 - 2018-11-24356Sharks3Las Vegas2WSommaire du Match
56 - 2018-11-27367Sharks8Crunch5WSommaire du Match
57 - 2018-11-28379Sharks3Marlies6LSommaire du Match
60 - 2018-12-01395Sharks5Senators6LXXSommaire du Match
61 - 2018-12-02410Sharks3Rocket5LSommaire du Match
64 - 2018-12-05428Caroline3Sharks10WSommaire du Match
66 - 2018-12-07440Sharks6Stars5WXXSommaire du Match
67 - 2018-12-08452Sharks2Jayhawks6LSommaire du Match
69 - 2018-12-10464Spiders7Sharks4LSommaire du Match
72 - 2018-12-13486Stars5Sharks3LSommaire du Match
75 - 2018-12-16509Sharks6Baby Hawks4WSommaire du Match
77 - 2018-12-18521Sharks6Minnesota5WXXSommaire du Match
79 - 2018-12-20541Oceanics4Sharks2LSommaire du Match
81 - 2018-12-22549Monarchs4Sharks6WSommaire du Match
82 - 2018-12-23565Jayhawks4Sharks3LXXSommaire du Match
86 - 2018-12-27579Admirals2Sharks6WSommaire du Match
88 - 2018-12-29586Sharks5Oil Kings4WSommaire du Match
90 - 2018-12-31609Sharks5Heat2WSommaire du Match
92 - 2019-01-02619Sharks3Monsters5LSommaire du Match
95 - 2019-01-05644Thunder4Sharks3LSommaire du Match
97 - 2019-01-07656Monarchs2Sharks4WSommaire du Match
98 - 2019-01-08667Oil Kings2Sharks5WSommaire du Match
100 - 2019-01-10681Sharks2Las Vegas4LSommaire du Match
102 - 2019-01-12696Senators7Sharks5LSommaire du Match
105 - 2019-01-15720Manchots2Sharks5WSommaire du Match
106 - 2019-01-16725Sharks6Jayhawks4WSommaire du Match
109 - 2019-01-19746Sharks4Thunder5LSommaire du Match
111 - 2019-01-21759Sharks5Cabaret Lady Mary Ann2WSommaire du Match
112 - 2019-01-22760Sharks1Bears2LXSommaire du Match
123 - 2019-02-02801Jayhawks5Sharks6WXXSommaire du Match
126 - 2019-02-05818Sharks6Oceanics4WSommaire du Match
128 - 2019-02-07835Sharks7Heat1WSommaire du Match
130 - 2019-02-09846Sharks6Oil Kings4WSommaire du Match
132 - 2019-02-11862Sharks6Comets5WSommaire du Match
135 - 2019-02-14887Bears5Sharks7WSommaire du Match
137 - 2019-02-16902Comets3Sharks5WSommaire du Match
139 - 2019-02-18915Bruins1Sharks4WSommaire du Match
142 - 2019-02-21933Sharks6Manchots5WXSommaire du Match
144 - 2019-02-23950Sharks6Monsters3WSommaire du Match
145 - 2019-02-24958Sharks4Cougars6LSommaire du Match
147 - 2019-02-26968Sharks6Bruins4WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2019-03-01998Monsters3Sharks4WSommaire du Match
152 - 2019-03-031016Baby Hawks4Sharks6WSommaire du Match
156 - 2019-03-071043Rocket0Sharks4WSommaire du Match
158 - 2019-03-091049Chiefs2Sharks3WSommaire du Match
160 - 2019-03-111068Sharks3Minnesota9LSommaire du Match
161 - 2019-03-121077Sharks5Oceanics6LSommaire du Match
163 - 2019-03-141092Cabaret Lady Mary Ann7Sharks6LXXSommaire du Match
165 - 2019-03-161110Chill1Sharks9WSommaire du Match
167 - 2019-03-181121Las Vegas1Sharks3WSommaire du Match
170 - 2019-03-211147Sharks5Monarchs7LSommaire du Match
171 - 2019-03-221149Sharks6Admirals5WSommaire du Match
174 - 2019-03-251177Cougars6Sharks7WXXSommaire du Match
177 - 2019-03-281196Baby Hawks4Sharks8WSommaire du Match
179 - 2019-03-301211Las Vegas3Sharks6WSommaire du Match
180 - 2019-03-311220Heat3Sharks1LSommaire du Match
182 - 2019-04-021237Sharks3Comets6LSommaire du Match
184 - 2019-04-041252Sharks6Oil Kings2WSommaire du Match
186 - 2019-04-061271Monsters8Sharks7LXXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna17501250
Prix des Billets5020
Assistance53,75538,199
Assistance PCT74.92%74.53%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2243 - 74.76% 84,189$3,451,730$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
5,257,548$ 5,182,550$ 5,122,550$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
27,714$ 5,257,548$ 59 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 27,714$ 0$




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
2018824323021764063367041248000452061555141191502131200181191114067081114121701359215373412241280118892312293480115393397221.24%3266280.98%51515294251.50%1309275547.51%740155547.59%1801125821656271022474
Total Saison Régulière824323021764063367041248000452061555141191502131200181191114067081114121701359215373412241280118892312293480115393397221.24%3266280.98%51515294251.50%1309275547.51%740155547.59%1801125821656271022474