Sharks

GP: 43 | W: 30 | L: 10 | OTL: 3 | P: 63
GF: 112 | GA: 74 | PP%: 13.36% | PK%: 87.45%
DG: Patrick Bourdon | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #475 vs Admirals
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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 SPÂgeContratSalaire
1Alan QuineX100.00787388757368687280746571625556705000273735,000$
2Beck Malenstyn (R)X100.00777287657273795350475463514444595000223773,333$
3Brayden BurkeXX100.00686281626274766950686662634444675000233925,000$
4Brett SeneyXX100.00605670775682876379606258594949645000242757,500$
5Jordan GreenwayXX100.007966778087679464547562722560607050002321,225,000$
6Otto Koivula (R)XX100.00754594668350765559505571254545605000213925,000$
7Sam SteelX100.00634190816470867285705960255555665000222863,333$
8Troy TerryXX100.005740957765688474366859545354546450002221,491,666$
9William CarrierX100.009557848078558059566359562561626450002511,400,000$
10Derek RyanXXX100.005940947763689266877368767565667255003311,450,000$
11Travis BoydXX100.00674297636759616859746464255455665000263800,000$
12Shane Bowers (R)X100.007670906670626360755858645544446350002031,075,000$
13Chad RuhwedelX100.00834490726965546025494870255960605000301650,000$
14Caleb JonesX100.00714392677164796125505066755959605000232815,000$
15Jordan OesterleX100.00714291776771826525524874256161625000281650,000$
16Nick HoldenX100.008656927780767861255050772569706443003322,200,000$
17Rasmus Sandin (R)X100.00774388806764636425594862254646615000203894,167$
18Sean WalkerX100.00774488667076836825614976255757645200251807,500$
19Trevor van RiemsdykX100.006341938070658160255147692565666050002812,300,000$
Rayé
1Danny O'Regan (R)XX100.00736688686679846278625763544444645000262874,125$
2Brett Leason (R)X100.00817791647767725050504664444444575000213925,000$
3Connor CliftonX100.009446886464647057253948674548495950002511,000,000$
4Tobias Geisser (R)X100.00847799527746484125283963374444495000213837,778$
MOYENNE D'ÉQUIPE100.0075548971706776624958556641535463500
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
1Aaron Dell100.0069626173697067707770755758694400
2Craig Anderson100.0068747473736356696968787678685000
Rayé
MOYENNE D'ÉQUIPE100.006968687371676270736977676869470
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight75717977747077USA5131,250,000$


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
1Alan QuineSharks (SJS)C431018281138105312691287810.99%894021.8729111819910151823063.27%113000000.6024110230
2Jordan GreenwaySharks (SJS)LW/RW4310182811455918310220679.80%793321.7248123120111221714047.54%6100000.6016010421
3Sam SteelSharks (SJS)C43111627560109067236116.42%973917.19461023194000043164.14%73900000.7301000431
4Jordan OesterleSharks (SJS)D436192523300533849182712.24%3497022.56279362000000162100.00%000000.5200000032
5Troy TerrySharks (SJS)C/RW4311102160015460213818.33%471116.5534721195000011147.50%4000000.5900000233
6Trevor van RiemsdykSharks (SJS)D435162111160173824121520.83%3984719.70426181270110140010.00%000000.5000000112
7Travis BoydSharks (SJS)C/RW431110217140225862133317.74%454412.661345200001622249.84%30900000.7700000530
8Sean WalkerSharks (SJS)D30218201740050331872311.11%3370623.54279151380110109000.00%000000.5700000122
9Brett SeneySharks (SJS)C/LW43712191140032767816398.97%266215.4100000000002162.45%25300000.5700000034
10William CarrierSharks (SJS)LW43513186715924046153910.87%170016.3016712187000002139.02%4100000.5101010214
11Rasmus SandinSharks (SJS)D4331316125408932185616.67%1867615.743031146000032200.00%000000.4700000014
12Derek RyanSharks (SJS)C/LW/RW34871513206454583117.78%637611.0722472800041142059.40%13300000.8001000401
13Nick HoldenSharks (SJS)D364913-444049374212269.52%2466018.3533634154000067100.00%000000.3900000020
14Caleb JonesSharks (SJS)D423912-312016343718228.11%2277918.56156272000001125000.00%000000.3100000000
15Otto KoivulaSharks (SJS)LW/RW43459918021132632015.38%12345.4600001000021061.54%1300000.7700000021
16Brayden BurkeSharks (SJS)LW/RW436285001162131828.57%12265.2740413800001963051.43%3500000.7100000100
17Chad RuhwedelSharks (SJS)D43145-5460652513367.69%2773016.980113360110148000.00%000000.1400000010
18Miles WoodSharksLW/RW8224012010111441714.29%115118.970113340000210150.00%600000.5322000000
19Shane BowersSharks (SJS)C1521338010161331015.38%315510.3700000000000063.78%12700000.3900000010
20Connor CliftonSharks (SJS)D70220100710110.00%411216.0802204000014000.00%000000.3600000000
21Beck MalenstynSharks (SJS)LW15011-260662120.00%0865.790000000000000.00%300000.2300000000
22Danny O'ReganSharks (SJS)C/RW10011-1401168240.00%011211.2900000000020066.67%900000.1800000000
Stats d'équipe Total ou en Moyenne7561112063171355162072286883623658313.28%2481206115.953666102277205424614146127860.71%289900000.53515130263125
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
1Aaron DellSharks (SJS)41291020.9091.63247307677370000.80015410312
2Craig AndersonSharks (SJS)31010.9071.77136004430000.0002243000
Stats d'équipe Total ou en Moyenne44301030.9091.63260907717800000.706174343312


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
Aaron DellSharks (SJS)G311989-05-04No200 Lbs6 ft0NoNoNo2Pro & Farm1,900,000$873,387$1,900,000$873,387$0$0$No1,900,000$Lien
Alan QuineSharks (SJS)C271993-02-25No203 Lbs6 ft0NoNoNo3Pro & Farm735,000$337,863$735,000$337,863$0$0$No735,000$735,000$Lien
Beck MalenstynSharks (SJS)LW221998-02-04Yes194 Lbs6 ft2NoNoNo3Pro & Farm773,333$355,484$773,333$355,484$0$0$No773,333$773,333$
Brayden BurkeSharks (SJS)LW/RW231997-01-01No170 Lbs5 ft10NoNoNo3Pro & Farm925,000$425,202$925,000$425,202$0$0$No925,000$925,000$Lien
Brett LeasonSharks (SJS)RW211999-04-30Yes201 Lbs6 ft4NoNoNo3Pro & Farm925,000$425,202$925,000$425,202$0$0$No925,000$925,000$
Brett SeneySharks (SJS)C/LW241996-02-28No156 Lbs5 ft9NoNoNo2Pro & Farm757,500$348,206$757,500$348,206$0$0$No757,500$Lien
Caleb JonesSharks (SJS)D231997-06-06No192 Lbs6 ft1NoNoNo2Pro & Farm815,000$374,637$450,000$206,855$0$0$No815,000$Lien
Chad RuhwedelSharks (SJS)D301990-05-07No191 Lbs5 ft11NoNoNo1Pro & Farm650,000$298,790$650,000$298,790$0$0$NoLien
Connor CliftonSharks (SJS)D251995-04-28No175 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$459,677$1,000,000$459,677$0$0$NoLien
Craig AndersonSharks (SJS)G391981-05-21No185 Lbs6 ft2NoNoNo1Pro & Farm3,000,000$1,379,032$3,000,000$1,379,032$0$0$NoLien
Danny O'ReganSharks (SJS)C/RW261994-01-30Yes185 Lbs5 ft10NoNoNo2Pro & Farm874,125$401,816$450,000$206,855$0$0$No874,125$Lien
Derek RyanSharks (SJS)C/LW/RW331986-12-29No170 Lbs5 ft11NoNoNo1Pro & Farm1,450,000$666,532$1,450,000$666,532$0$0$NoLien
Jordan GreenwaySharks (SJS)LW/RW231997-02-16No226 Lbs6 ft6NoNoNo2Pro & Farm1,225,000$563,105$1,225,000$563,105$0$0$No1,225,000$Lien
Jordan OesterleSharks (SJS)D281992-06-24No182 Lbs6 ft0NoNoNo1Pro & Farm650,000$298,790$1,000,000$459,677$0$0$NoLien
Nick HoldenSharks (SJS)D331987-05-14No214 Lbs6 ft4NoNoNo2Pro & Farm2,200,000$1,011,290$2,200,000$1,011,290$0$0$No2,200,000$Lien
Otto KoivulaSharks (SJS)LW/RW211998-10-01Yes220 Lbs6 ft4NoNoNo3Pro & Farm925,000$425,202$925,000$425,202$0$0$No925,000$925,000$
Rasmus SandinSharks (SJS)D202000-03-07Yes187 Lbs5 ft11NoNoNo3Pro & Farm894,167$411,028$894,167$411,028$0$0$No894,167$894,167$
Sam SteelSharks (SJS)C221998-02-03No178 Lbs5 ft11NoNoNo2Pro & Farm863,333$396,855$450,000$206,855$0$0$No863,333$Lien
Sean WalkerSharks (SJS)D251994-11-12No196 Lbs5 ft11NoNoNo1Pro & Farm807,500$371,190$745,000$342,460$0$0$NoLien
Shane BowersSharks (SJS)C201999-07-30Yes187 Lbs6 ft2NoNoNo3Pro & Farm1,075,000$494,153$1,075,000$494,153$0$0$No1,075,000$1,075,000$
Tobias GeisserSharks (SJS)D211999-02-13Yes201 Lbs6 ft4NoNoNo3Pro & Farm837,778$385,108$837,778$385,108$0$0$No837,778$837,778$
Travis BoydSharks (SJS)C/RW261993-09-14No185 Lbs5 ft11NoNoNo3Pro & Farm800,000$367,742$800,000$367,742$0$0$No800,000$800,000$Lien
Trevor van RiemsdykSharks (SJS)D281991-07-24No188 Lbs6 ft2NoNoNo1Pro & Farm2,300,000$1,057,258$2,300,000$1,057,258$0$0$NoLien
Troy TerrySharks (SJS)C/RW221997-09-10No174 Lbs6 ft1NoNoNo2Pro & Farm1,491,666$685,685$1,491,666$685,685$0$0$No1,491,666$Lien
William CarrierSharks (SJS)LW251994-12-20No212 Lbs6 ft2NoNoNo1Pro & Farm1,400,000$643,548$1,400,000$643,548$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2525.52191 Lbs6 ft12.041,170,976$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alan QuineJordan Greenway35122
2William CarrierSam SteelTroy Terry30122
3Brett SeneyShane BowersTravis Boyd25122
4Beck MalenstynBrett SeneyOtto Koivula10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan OesterleSean Walker35122
2Rasmus SandinTrevor van Riemsdyk30122
3Nick HoldenChad Ruhwedel25122
4Caleb JonesSean Walker10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brayden BurkeAlan QuineJordan Greenway60122
2William CarrierSam SteelTroy Terry40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan OesterleSean Walker60122
2Nick HoldenCaleb Jones40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Alan QuineJordan Greenway60122
2Brayden Burke40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan OesterleSean Walker60122
2Chad RuhwedelTrevor van Riemsdyk40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Chad RuhwedelSean Walker60122
2Alan Quine40122Rasmus SandinNick Holden40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alan QuineJordan Greenway60122
2Sam Steel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chad RuhwedelSean Walker60122
2Jordan OesterleTrevor van Riemsdyk40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Travis BoydAlan QuineJordan GreenwayCaleb JonesTrevor van Riemsdyk
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brayden BurkeTravis BoydJordan OesterleNick Holden
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brayden Burke, Otto Koivula, Beck Malenstyn, Travis BoydTravis Boyd
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rasmus Sandin, Chad Ruhwedel, Caleb JonesRasmus SandinChad Ruhwedel, Nick Holden
Tirs de Pénalité
, Jordan Greenway, Alan Quine, Sam Steel, William Carrier
Gardien
#1 : Aaron Dell, #2 : Craig Anderson


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
1Admirals20000011660000000000002000001166030.750610160046303262625026628824431922341000.00%10280.00%0750123260.88%678116558.20%36757463.94%1120789963310526273
2Condors6500100017893200100095433000000835121.000173047014630326123250266288241012170824349.30%34294.12%1750123260.88%678116558.20%36757463.94%1120789963310526273
3Crunch1010000013-2000000000001010000013-200.000123004630326122502662882430814141000.00%70100.00%1750123260.88%678116558.20%36757463.94%1120789963310526273
4Flames642000001385431000008352110000055080.667132336024630326110250266288248324868932412.50%32196.88%0750123260.88%678116558.20%36757463.94%1120789963310526273
5Griffins11000000321110000003210000000000021.000369004630326232502662882427214215120.00%7185.71%0750123260.88%678116558.20%36757463.94%1120789963310526273
6IceHogs1000000123-1000000000001000000123-110.50023500463032617250266288241932111800.00%7271.43%0750123260.88%678116558.20%36757463.94%1120789963310526273
7Monarchs6410001016973200001094532100000752100.83316284400463032611225026628824123328911935514.29%38878.95%0750123260.88%678116558.20%36757463.94%1120789963310526273
8Monsters1010000012-1000000000001010000012-100.00012300463032616250266288241571613400.00%7185.71%0750123260.88%678116558.20%36757463.94%1120789963310526273
9Moose531000101385321000008622100001052380.80013213401463032687250266288247320448935514.29%22290.91%0750123260.88%678116558.20%36757463.94%1120789963310526273
10Penguins11000000303110000003030000000000021.00036901463032619250266288241268207114.29%40100.00%0750123260.88%678116558.20%36757463.94%1120789963310526273
11Rampage431000001596211000008532200000074360.750153045004630326101250266288249337449019526.32%22672.73%0750123260.88%678116558.20%36757463.94%1120789963310526273
12Rocket11000000505000000000001100000050521.0005813014630326172502662882420510127228.57%30100.00%0750123260.88%678116558.20%36757463.94%1120789963310526273
13Senators1010000003-31010000003-30000000000000.00000000463032613250266288242121013300.00%50100.00%0750123260.88%678116558.20%36757463.94%1120789963310526273
14Soldiers2110000034-1110000003211010000002-220.5003580046303262825026628824251624329111.11%12283.33%0750123260.88%678116558.20%36757463.94%1120789963310526273
15Sound Tigers11000000312110000003120000000000021.00036900463032617250266288241974146116.67%20100.00%0750123260.88%678116558.20%36757463.94%1120789963310526273
16Stars1010000013-2000000000001010000013-200.00012300463032624250266288242968158112.50%3166.67%0750123260.88%678116558.20%36757463.94%1120789963310526273
Total43261001033112743821154010105731262211600023554312630.733112201313074630326810250266288247802345167202623513.36%2312987.45%2750123260.88%678116558.20%36757463.94%1120789963310526273
17Wolf Pack11000000523000000000001100000052321.0005914004630326212502662882421810235240.00%5180.00%0750123260.88%678116558.20%36757463.94%1120789963310526273
18Wolves21000001532110000003031000000123-130.7505101501463032644250266288242611222916318.75%110100.00%0750123260.88%678116558.20%36757463.94%1120789963310526273
_Since Last GM Reset43261001033112743821154010105731262211600023554312630.733112201313074630326810250266288247802345167202623513.36%2312987.45%2750123260.88%678116558.20%36757463.94%1120789963310526273
_Vs Conference3119501033845628151120101046252116830002338317490.79084151235034630326602250266288245781743625361942613.40%1682684.52%1750123260.88%678116558.20%36757463.94%1120789963310526273
_Vs Division2513201031653926137101010341816126100021312110350.70065112177044630326458250266288244231163114131551811.61%1361588.97%1750123260.88%678116558.20%36757463.94%1120789963310526273

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4363W211220131381078023451672007
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
432610103311274
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2115410105731
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2211600235543
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2623513.36%2312987.45%2
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
250266288244630326
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
750123260.88%678116558.20%36757463.94%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1120789963310526273


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 - 2020-09-279Sharks3Monarchs1WSommaire du Match
2 - 2020-09-2812Flames0Sharks3WSommaire du Match
4 - 2020-09-3027Sharks4Admirals3WXXSommaire du Match
5 - 2020-10-0141Moose2Sharks4WSommaire du Match
6 - 2020-10-0245Sharks3Flames1WSommaire du Match
8 - 2020-10-0460Monarchs2Sharks3WXXSommaire du Match
10 - 2020-10-0672Moose0Sharks1WSommaire du Match
12 - 2020-10-0880Sharks2Flames4LSommaire du Match
14 - 2020-10-1097Soldiers2Sharks3WSommaire du Match
16 - 2020-10-12106Sharks1Condors0WSommaire du Match
18 - 2020-10-14115Sharks3Moose1WSommaire du Match
20 - 2020-10-16123Flames2Sharks1LSommaire du Match
22 - 2020-10-18138Sharks1Monarchs2LSommaire du Match
23 - 2020-10-19148Monarchs1Sharks4WSommaire du Match
24 - 2020-10-20162Condors1Sharks2WSommaire du Match
25 - 2020-10-21169Sharks2Admirals3LXXSommaire du Match
27 - 2020-10-23183Monarchs1Sharks2WSommaire du Match
28 - 2020-10-24189Sharks1Stars3LSommaire du Match
30 - 2020-10-26200Wolves0Sharks3WSommaire du Match
32 - 2020-10-28217Penguins0Sharks3WSommaire du Match
34 - 2020-10-30221Sharks4Condors1WSommaire du Match
36 - 2020-11-01233Sharks3Condors2WSommaire du Match
38 - 2020-11-03247Flames1Sharks3WSommaire du Match
40 - 2020-11-05259Sharks5Rocket0WSommaire du Match
42 - 2020-11-07263Sharks3Monarchs2WSommaire du Match
43 - 2020-11-08275Sharks1Crunch3LSommaire du Match
45 - 2020-11-10283Rampage2Sharks6WSommaire du Match
46 - 2020-11-11294Sharks2IceHogs3LXXSommaire du Match
47 - 2020-11-12306Flames0Sharks1WSommaire du Match
49 - 2020-11-14322Condors1Sharks3WSommaire du Match
50 - 2020-11-15331Sharks0Soldiers2LSommaire du Match
51 - 2020-11-16342Griffins2Sharks3WSommaire du Match
53 - 2020-11-18355Sharks2Wolves3LXXSommaire du Match
54 - 2020-11-19365Moose4Sharks3LSommaire du Match
55 - 2020-11-20372Sharks2Moose1WXXSommaire du Match
56 - 2020-11-21386Sharks4Rampage2WSommaire du Match
57 - 2020-11-22393Sound Tigers1Sharks3WSommaire du Match
58 - 2020-11-23403Sharks1Monsters2LSommaire du Match
59 - 2020-11-24414Rampage3Sharks2LSommaire du Match
61 - 2020-11-26423Sharks3Rampage2WSommaire du Match
63 - 2020-11-28437Senators3Sharks0LSommaire du Match
65 - 2020-11-30453Condors3Sharks4WXSommaire du Match
66 - 2020-12-01465Sharks5Wolf Pack2WSommaire du Match
68 - 2020-12-03475Admirals-Sharks-
69 - 2020-12-04488Condors-Sharks-
70 - 2020-12-05496Sharks-Moose-
71 - 2020-12-06507Sharks-Moose-
72 - 2020-12-07511Sharks-Admirals-
74 - 2020-12-09526Flames-Sharks-
75 - 2020-12-10534Sharks-Admirals-
77 - 2020-12-12546Admirals-Sharks-
79 - 2020-12-14563Bruins-Sharks-
80 - 2020-12-15577Sharks-Phantoms-
81 - 2020-12-16586IceHogs-Sharks-
83 - 2020-12-18596Sharks-IceHogs-
85 - 2020-12-20608Rocket-Sharks-
86 - 2020-12-21621Marlies-Sharks-
87 - 2020-12-22628Sharks-Stars-
89 - 2020-12-24639Sharks-Monarchs-
91 - 2020-12-26651Sharks-Condors-
92 - 2020-12-27659Monsters-Sharks-
93 - 2020-12-28669Sharks-Marlies-
95 - 2020-12-30680Wolf Pack-Sharks-
96 - 2020-12-31695Phantoms-Sharks-
97 - 2021-01-01701Sharks-Sound Tigers-
99 - 2021-01-03717Crunch-Sharks-
100 - 2021-01-04726Sharks-Crunch-
101 - 2021-01-05734Sharks-Penguins-
102 - 2021-01-06745Wolves-Sharks-
104 - 2021-01-08761Sharks-Rampage-
105 - 2021-01-09767Monarchs-Sharks-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10783Stars-Sharks-
108 - 2021-01-12797Sharks-Griffins-
109 - 2021-01-13805Admirals-Sharks-
111 - 2021-01-15819Sharks-Bruins-
112 - 2021-01-16825Sharks-Flames-
113 - 2021-01-17835Moose-Sharks-
115 - 2021-01-19852Soldiers-Sharks-
116 - 2021-01-20856Sharks-Flames-
117 - 2021-01-21863Sharks-Senators-
118 - 2021-01-22877Monarchs-Sharks-
122 - 2021-01-26897Admirals-Sharks-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
20 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,279,523$ 2,927,441$ 2,835,945$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,604,120$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 33,689$ 1,920,273$




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