Sharks
GP: 82 | W: 52 | L: 24 | OTL: 6 | P: 110
GF: 207 | GA: 149 | PP%: 12.80% | PK%: 87.78%
DG: Patrick Bourdon | Morale : 50 | Moyenne d'Équipe : N/A
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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$
3Danny O'Regan (R)XX100.00736688686679846278625763544444645000262874,125$
4Brayden BurkeXX100.00686281626274766950686662634444675000233925,000$
5Brett SeneyXX100.00605670775682876379606258594949645000242757,500$
6Jordan GreenwayXX100.007966778087679464547562722560607046002321,225,000$
7Otto Koivula (R)XX100.00754594668350765559505571254545605000213925,000$
8Sam SteelX100.00634190816470867285705960255555665000222863,333$
9Troy TerryXX100.005740957765688474366859545354546450002221,491,666$
10William CarrierX100.009557848078558059566359562561626450002511,400,000$
11Derek RyanXXX100.005940947763689266877368767565667255003311,450,000$
12Travis BoydXX100.00674297636759616859746464255455665000263800,000$
13Shane Bowers (R)X100.007670906670626360755858645544446350002031,075,000$
14Chad RuhwedelX100.00834490726965546025494870255960605000301650,000$
15Caleb JonesX100.00714392677164796125505066755959605000232815,000$
16Jordan OesterleX100.00714291776771826525524874256161625000281650,000$
17Nick HoldenX100.008656927780767861255050772569706439003322,200,000$
18Rasmus Sandin (R)X100.00774388806764636425594862254646615000203894,167$
19Trevor van RiemsdykX100.006341938070658160255147692565666050002812,300,000$
Rayé
1Brett Leason (R)X100.00817791647767725050504664444444575000213925,000$
2Connor CliftonX100.009446886464647057253948674548495950002511,000,000$
3Tobias Geisser (R)X100.00847799527746484125283963374444495000213837,778$
MOYENNE D'ÉQUIPE100.0074558971706675625058556642535463500
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 Dell100.0069626173697067707770755758693500
2Craig Anderson100.0068747473736356696968787678685000
Rayé
MOYENNE D'ÉQUIPE100.006968687371676270736977676869430
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
1Sam SteelSharks (SJS)C821838566100151821383310713.04%15140817.1771522423650000134163.38%142000000.8004000565
2Alan QuineSharks (SJS)C792232541977251272171795714912.29%9170721.61314174537620292795161.38%191100010.6328221671
3Jordan OesterleSharks (SJS)D8212354723535948799396412.12%60181422.137916763880221300400.00%000000.5200001243
4Troy TerrySharks (SJS)C/RW822320438002105118367819.49%5136316.62681436366000013245.00%8000000.6300000656
5Jordan GreenwaySharks (SJS)LW/RW5917244118575121103138328512.32%7127721.6548124128621342324053.49%8600010.6416010642
6Brett SeneySharks (SJS)C/LW82141832116005613814529849.66%3124215.1600000000024161.65%47200000.5100000155
7William CarrierSharks (SJS)LW821022328133152067292227610.87%2134416.40391223354000004144.74%7600000.4812210325
8Sean WalkerSharksD464273120695834937113410.81%47107123.2921012262140220154000.00%000000.5800010134
9Trevor van RiemsdykSharks (SJS)D828233114300346346173117.39%61155118.92639281860220251310.00%000000.4000000122
10Brett ConnollySharksLW/RW5782230126076728729649.20%4123821.7229112526210152293141.59%46400000.4816000342
11Travis BoydSharks (SJS)C/RW821612286240359099286616.16%7102812.5413452110141332351.99%37700000.5401000640
12Caleb JonesSharks (SJS)D81818260300395176255410.53%35129516.0051015603790001153100.00%000000.4000000002
13Derek RyanSharks (SJS)C/LW/RW4881725214088061155113.11%860912.7022472800071752066.41%25600000.8212000502
14Rasmus SandinSharks (SJS)D8242024161100145603151112.90%31126915.493471780000061300.00%000000.3800000014
15Brayden BurkeSharks (SJS)LW/RW82121123895291663163919.05%15346.5287154929700021463052.17%6900000.8611001121
16Nick HoldenSharks (SJS)D6251621-384092658426495.95%42121119.543710652840000132200.00%000000.3500000021
17Chad RuhwedelSharks (SJS)D82412162900141482991113.79%53135616.542137460220259000.00%000000.2400000111
18Otto KoivulaSharks (SJS)LW/RW8255101324038334063312.50%44605.62000010000341057.69%2600100.4300000022
19Danton HeinenSharksLW/RW10189100017304203.33%023123.1612313400001470031.15%12200000.7801000100
20Shane BowersSharks (SJS)C544481295437338102710.53%556410.4500000000001059.00%47800000.2800001120
21Beck MalenstynSharks (SJS)LW5422412352019154813.33%02715.0200000000000144.44%900000.3000100200
22Miles WoodSharksLW/RW8224012010111441714.29%115118.970113340000210150.00%600000.5322000000
23Connor CliftonSharks (SJS)D70220100710110.00%411216.0802204000014000.00%000000.3600000000
24Danny O'ReganSharks (SJS)C/RW24011-1401179260.00%01225.0900000000020066.67%900000.1600000000
Stats d'équipe Total ou en Moyenne149120739159819396870143216591668460116512.41%4042323815.596512418956840206915342648491358.40%586100120.51933554515648
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)55351540.9051.64329209909500000.750245414313
2Ryan MillerSharks62302660.8842.0936202512610890200.73719620460
3Craig AndersonSharks (SJS)2917920.8891.94167224544850000.600102868400
Stats d'équipe Total ou en Moyenne1468250120.8931.89858641827025240200.71753144821173


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$15,323$1,900,000$15,323$0$0$No1,900,000$Lien
Alan QuineSharks (SJS)C271993-02-25No203 Lbs6 ft0NoNoNo3Pro & Farm735,000$5,927$735,000$5,927$0$0$No735,000$735,000$Lien
Beck MalenstynSharks (SJS)LW221998-02-04Yes194 Lbs6 ft2NoNoNo3Pro & Farm773,333$6,237$773,333$6,237$0$0$No773,333$773,333$
Brayden BurkeSharks (SJS)LW/RW231997-01-01No170 Lbs5 ft10NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$Lien
Brett LeasonSharks (SJS)RW211999-04-30Yes201 Lbs6 ft4NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Brett SeneySharks (SJS)C/LW241996-02-28No156 Lbs5 ft9NoNoNo2Pro & Farm757,500$6,109$757,500$6,109$0$0$No757,500$Lien
Caleb JonesSharks (SJS)D231997-06-06No192 Lbs6 ft1NoNoNo2Pro & Farm815,000$6,573$450,000$3,629$0$0$No815,000$Lien
Chad RuhwedelSharks (SJS)D301990-05-07No191 Lbs5 ft11NoNoNo1Pro & Farm650,000$5,242$650,000$5,242$0$0$NoLien
Connor CliftonSharks (SJS)D251995-04-28No175 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$8,065$1,000,000$8,065$0$0$NoLien
Craig AndersonSharks (SJS)G391981-05-21No185 Lbs6 ft2NoNoNo1Pro & Farm3,000,000$24,194$3,000,000$24,194$0$0$NoLien
Danny O'ReganSharks (SJS)C/RW261994-01-30Yes185 Lbs5 ft10NoNoNo2Pro & Farm874,125$7,049$450,000$3,629$0$0$No874,125$Lien
Derek RyanSharks (SJS)C/LW/RW331986-12-29No170 Lbs5 ft11NoNoNo1Pro & Farm1,450,000$11,694$1,450,000$11,694$0$0$NoLien
Jordan GreenwaySharks (SJS)LW/RW231997-02-16No226 Lbs6 ft6NoNoNo2Pro & Farm1,225,000$9,879$1,225,000$9,879$0$0$No1,225,000$Lien
Jordan OesterleSharks (SJS)D281992-06-24No182 Lbs6 ft0NoNoNo1Pro & Farm650,000$5,242$1,000,000$8,065$0$0$NoLien
Nick HoldenSharks (SJS)D331987-05-14No214 Lbs6 ft4NoNoNo2Pro & Farm2,200,000$17,742$2,200,000$17,742$0$0$No2,200,000$Lien
Otto KoivulaSharks (SJS)LW/RW211998-10-01Yes220 Lbs6 ft4NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Rasmus SandinSharks (SJS)D202000-03-07Yes187 Lbs5 ft11NoNoNo3Pro & Farm894,167$7,211$894,167$7,211$0$0$No894,167$894,167$
Sam SteelSharks (SJS)C221998-02-03No178 Lbs5 ft11NoNoNo2Pro & Farm863,333$6,962$450,000$3,629$0$0$No863,333$Lien
Shane BowersSharks (SJS)C201999-07-30Yes187 Lbs6 ft2NoNoNo3Pro & Farm1,075,000$8,669$1,075,000$8,669$0$0$No1,075,000$1,075,000$
Tobias GeisserSharks (SJS)D211999-02-13Yes201 Lbs6 ft4NoNoNo3Pro & Farm837,778$6,756$837,778$6,756$0$0$No837,778$837,778$
Travis BoydSharks (SJS)C/RW261993-09-14No185 Lbs5 ft11NoNoNo3Pro & Farm800,000$6,452$800,000$6,452$0$0$No800,000$800,000$Lien
Trevor van RiemsdykSharks (SJS)D281991-07-24No188 Lbs6 ft2NoNoNo1Pro & Farm2,300,000$18,548$2,300,000$18,548$0$0$NoLien
Troy TerrySharks (SJS)C/RW221997-09-10No174 Lbs6 ft1NoNoNo2Pro & Farm1,491,666$12,030$1,491,666$12,030$0$0$No1,491,666$Lien
William CarrierSharks (SJS)LW251994-12-20No212 Lbs6 ft2NoNoNo1Pro & Farm1,400,000$11,290$1,400,000$11,290$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2425.54191 Lbs6 ft12.081,186,121$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jordan GreenwayAlan QuineDerek Ryan35122
2William CarrierSam SteelTroy Terry30122
3Brett SeneyShane BowersTravis Boyd25122
4Beck MalenstynBrett SeneyOtto Koivula10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan OesterleNick Holden35122
2Rasmus SandinTrevor van Riemsdyk30122
3Caleb JonesChad Ruhwedel25122
4Jordan OesterleNick Holden10122
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 OesterleNick Holden60122
2Trevor van RiemsdykCaleb Jones40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Derek RyanJordan Greenway60131
2Alan QuineOtto Koivula40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan OesterleNick Holden60131
2Chad RuhwedelTrevor van Riemsdyk40131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Derek Ryan60140Chad RuhwedelTrevor van Riemsdyk60140
2Alan Quine40140Rasmus SandinCaleb Jones40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alan QuineJordan Greenway60122
2Derek RyanDanny O'Regan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chad RuhwedelNick Holden60122
2Jordan OesterleTrevor van Riemsdyk40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Travis BoydAlan QuineBrayden BurkeNick HoldenCaleb Jones
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Otto KoivulaDerek RyanJordan GreenwayJordan 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 SandinCaleb Jones, Rasmus Sandin
Tirs de Pénalité
Travis Boyd, Alan Quine, Derek Ryan, Brayden Burke, Brett Seney
Gardien
#1 : Craig Anderson, #2 : Aaron Dell


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
1Admirals83200111191454210010011564110001189-1100.62519345301795666111554815195484512638841415135.88%34488.24%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
2Bruins22000000642110000003211100000032141.000610160079566611344815195484535510331119.09%4175.00%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
3Condors861010002011942101000981440000001138140.87520345402795666111674815195484512430921116146.56%45393.33%11387229660.41%1252213658.61%676113459.61%2137151018205931014524
4Crunch30300000510-51010000013-22020000047-300.0005101500795666116148151954845862745662129.52%19289.47%11387229660.41%1252213658.61%676113459.61%2137151018205931014524
5Flames953000102014653100010115642200000990120.6672032520279566611158481519548451313812413047714.89%49197.96%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
6Griffins21000010642110000003211000001032141.00069150079566611404815195484546824321119.09%12375.00%11387229660.41%1252213658.61%676113459.61%2137151018205931014524
7IceHogs310000027521000000112-12100000163340.667712190179566611574815195484555939412214.55%15286.67%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
8Marlies2110000056-1110000004311010000013-220.5005101500795666114348151954845271229358337.50%11190.91%11387229660.41%1252213658.61%676113459.61%2137151018205931014524
9Monarchs9620001022121054000010145942200000871140.7782238600179566611165481519548451514211317253815.09%49981.63%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
10Monsters21100000220110000001011010000012-120.5002460179566611294815195484529113023900.00%13192.31%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
11Moose834000101917242200000111014120001087180.500193251017956661114248151954845131337813954916.67%32681.25%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
12Penguins21100000642110000003031010000034-120.5006111701795666114048151954845399164410330.00%8187.50%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
13Phantoms2110000078-1110000005321010000025-320.500712190079566611334815195484543739311300.00%11190.91%11387229660.41%1252213658.61%676113459.61%2137151018205931014524
14Rampage5320000015105211000008533210000075260.600153045007956661111948151954845114405610725520.00%28678.57%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
15Rocket22000000817110000003121100000050541.0008142201795666113448151954845277162017317.65%6183.33%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
16Senators211000005501010000003-31100000052320.50051015007956661137481519548453862433800.00%11281.82%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
17Soldiers32100000541220000005231010000002-240.6675813017956661142481519548454123434413215.38%19289.47%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
18Sound Tigers22000000826110000003121100000051441.0008152300795666114548151954845297102716318.75%5180.00%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
19Stars3110000178-1110000003122010000147-330.50071421007956661159481519548457813345220315.00%15286.67%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
20Wolf Pack22000000734110000002111100000052341.0007132000795666114348151954845341114549222.22%7185.71%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
21Wolves32000001853220000006241000000123-150.83381624017956661155481519548455119324921419.05%160100.00%01387229660.41%1252213658.61%676113459.61%2137151018205931014524
Total8246240115520714958412880112110764434118160003410085151100.67120736857501379566611155848151954845143539595213845006412.80%4095087.78%51387229660.41%1252213658.61%676113459.61%2137151018205931014524
_Since Last GM Reset8246240115520714958412880112110764434118160003410085151100.67120736857501379566611155848151954845143539595213845006412.80%4095087.78%51387229660.41%1252213658.61%676113459.61%2137151018205931014524
_Vs Conference54301301145136924427185011117443312712800034624913760.70413624237808795666111046481519548459462626059153474312.39%2703885.93%21387229660.41%1252213658.61%676113459.61%2137151018205931014524
_Vs Division42209011311006832221140111056332320950002144359500.5951001702700779566611787481519548456631814916932663111.65%2092389.00%11387229660.41%1252213658.61%676113459.61%2137151018205931014524

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82110L1207368575155814353959521384013
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8246241155207149
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41288112110764
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
411816003410085
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
5006412.80%4095087.78%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
4815195484579566611
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
1387229660.41%1252213658.61%676113459.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2137151018205931014524


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 - 2020-12-03475Admirals1Sharks0LXSommaire du Match
69 - 2020-12-04488Condors3Sharks0LSommaire du Match
70 - 2020-12-05496Sharks2Moose3LSommaire du Match
71 - 2020-12-06507Sharks1Moose2LSommaire du Match
72 - 2020-12-07511Sharks0Admirals2LSommaire du Match
74 - 2020-12-09526Flames2Sharks3WXXSommaire du Match
75 - 2020-12-10534Sharks2Admirals1WSommaire du Match
77 - 2020-12-12546Admirals0Sharks4WSommaire du Match
79 - 2020-12-14563Bruins2Sharks3WSommaire du Match
80 - 2020-12-15577Sharks2Phantoms5LSommaire du Match
81 - 2020-12-16586IceHogs2Sharks1LXXSommaire du Match
83 - 2020-12-18596Sharks4IceHogs0WSommaire du Match
85 - 2020-12-20608Rocket1Sharks3WSommaire du Match
86 - 2020-12-21621Marlies3Sharks4WSommaire du Match
87 - 2020-12-22628Sharks3Stars4LXXSommaire du Match
89 - 2020-12-24639Sharks1Monarchs2LSommaire du Match
91 - 2020-12-26651Sharks3Condors0WSommaire du Match
92 - 2020-12-27659Monsters0Sharks1WSommaire du Match
93 - 2020-12-28669Sharks1Marlies3LSommaire du Match
95 - 2020-12-30680Wolf Pack1Sharks2WSommaire du Match
96 - 2020-12-31695Phantoms3Sharks5WSommaire du Match
97 - 2021-01-01701Sharks5Sound Tigers1WSommaire du Match
99 - 2021-01-03717Crunch3Sharks1LSommaire du Match
100 - 2021-01-04726Sharks3Crunch4LSommaire du Match
101 - 2021-01-05734Sharks3Penguins4LSommaire du Match
102 - 2021-01-06745Wolves2Sharks3WSommaire du Match
104 - 2021-01-08761Sharks0Rampage1LSommaire du Match
105 - 2021-01-09767Monarchs1Sharks2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10783Stars1Sharks3WSommaire du Match
108 - 2021-01-12797Sharks3Griffins2WXXSommaire du Match
109 - 2021-01-13805Admirals1Sharks5WSommaire du Match
111 - 2021-01-15819Sharks3Bruins2WSommaire du Match
112 - 2021-01-16825Sharks3Flames2WSommaire du Match
113 - 2021-01-17835Moose4Sharks3LSommaire du Match
115 - 2021-01-19852Soldiers0Sharks2WSommaire du Match
116 - 2021-01-20856Sharks1Flames2LSommaire du Match
117 - 2021-01-21863Sharks5Senators2WSommaire du Match
118 - 2021-01-22877Monarchs0Sharks3WSommaire du Match
122 - 2021-01-26897Admirals3Sharks2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
4,135,734$ 2,846,691$ 2,761,445$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 2,895,795$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 33,038$ 33,038$




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