Barracuda

DG: Mario Desjardins Morale : 50 Moyenne d'Équipe : 74
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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
1Tyler EnnisXX100.00363269231688377450868474835535050810
2Alex ChiassonX100.00455161346364796630818278424035050790
3Kyle CliffordX100.00706451386447706630828166376570050780
4Jordan NolanX100.00595954447244706326807966384453050750
5Michael McCarron (R)X100.00675739508655836174727768401215050740
6Jordan SchroederX100.00372976423547636826818470392420050720
7Tobias Lindberg (R)X100.00463763406775825825707362401015050720
8Tyler Randell (R)X100.00676723605933836325698463401316050700
9Brody Sutter (R)X100.00773782556241825642687567411120050680
10Nikolay Goldobin (R)X100.0083082623653825825707464401115050670
11Charles Hudon (R)X100.00693280614450825725697258401015050660
12Alex Khokhlachev (R)X100.00252981413546825631687561451115050650
13Jon MerrillX100.00313667515963628224807269383025050780
14Derrick PouliotX100.00263576475655808624827358401721050770
15Dylan OlsenX100.00523768556952788125777367502527050770
16Viktor Svedberg (R)X100.00243970599051848125747562401416050760
17Jarred TinordiX100.00776236588946807725737168401743050750
18Ryan Pulock (R)X100.00414173546552837925757459401215050740
19Adam Pelech (R)X100.00553780606360317625726970401115050720
20Keegan Lowe (R)X100.00606830666947827225707256401046050720
21Rinat Valiev (R)X100.00393780636342827325717354401115050690
Rayé
MOYENNE D'ÉQUIPE100.0048446451605374693075766543222605073
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 Sparks (R)100.0092705588879087878880813157050850
2Scott Wedgewood (R)100.0087774390939591889755442930050840
Rayé
MOYENNE D'ÉQUIPE100.009074498990938988936863304405085
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jon Cooper71828158547470CAN485450,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Kyle CliffordBarracuda (Jaw)LW8341428393111251581152418116417.01%52134216.1791019391320000663248.67%1134619031.24166712326
2Jordan NolanBarracuda (Jaw)C83275582151083083982227514412.16%49135216.296915251230003462244.80%12596233031.2102122431
3Jordan SchroederBarracuda (Jaw)C8336336942140251162076513017.39%51109113.151123171012267033.38%7433220011.2600000438
4Tyler RandellBarracuda (Jaw)RW832823513119890110561696811716.57%3084610.2000004000011025.53%4710117031.20114311101
5Dylan OlsenBarracuda (Jaw)D83173350212607413917386799.83%111136816.483362081123711502100.00%14139000.7336000221
6Michael McCarronBarracuda (Jaw)RW64162036-14180301591191524310310.53%71112317.56741143167000000162.07%586335020.6411204201
7Viktor SvedbergBarracuda (Jaw)D831419331280855111554412.61%3883310.040000000004100.00%04022010.7901000032
8Darnell NurseJawzD29721280275404764262710.94%4869423.95391224931122108000.00%02321000.8100001110
9Charles HudonBarracuda (Jaw)LW8361824300061567417538.11%15108013.02000445000051038.46%392621000.4400000101
10Jarred TinordiBarracuda (Jaw)D8322123915755118656717232.99%518109.770000000000000.00%01438000.5700533001
11Tobias LindbergBarracuda (Jaw)RW837132021380646170243810.00%30126315.220229840000360047.62%84717000.3200000000
12Brody SutterBarracuda (Jaw)RW8371118060666011728715.98%235746.92000170000420153.73%674011010.6301000110
13Jon MerrillBarracuda (Jaw)D5051116-22409716324317.94%5091718.3512312861122118100.00%02026000.3500000010
14Alex ChiassonBarracuda (Jaw)RW214812-612020464414319.09%1647322.543259530003820045.38%119117000.5101000002
15Brian DumoulinJawzD2121012-1554344515284.44%2949023.371451858000285000.00%0108100.4900001010
16Alex KhokhlachevBarracuda (Jaw)C59268-2408395322313.77%143706.2800000000001034.82%247134000.4301000000
17Adam PelechBarracuda (Jaw)D8324626015443511225.71%364175.030000000000000.00%0711000.2900000000
18Ryan PulockBarracuda (Jaw)D51224-460915234138.70%203025.940000000000000.00%070000.2600000000
19Keegan LoweBarracuda (Jaw)D82011-160304100.00%1280.350001200001000.00%010000.7000000000
20Rinat ValievBarracuda (Jaw)D59000100011000.00%1140.2400000000110000.00%010000.0000000000
Stats d'équipe Total ou en Moyenne13492253515761631136340103412371935676114911.63%7361539611.413446802089594482275317841.30%27775653491140.75620181534191724
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
1Garret SparksBarracuda (Jaw)83284870.8953.5049422028827391398610.84833830573
2Scott WedgewoodBarracuda (Jaw)30000.8307.11760095326000.0000064000
Stats d'équipe Total ou en Moyenne86284870.8943.5550182029727921424610.848338364573


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 Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adam PelechBarracuda (Jaw)D221994-08-16Yes210 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm925,000$925,000$Lien
Alex ChiassonBarracuda (Jaw)RW251990-10-01No208 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm900,000$Lien
Alex KhokhlachevBarracuda (Jaw)C231993-09-09Yes181 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm894,000$894,000$Lien
Brody SutterBarracuda (Jaw)RW241991-09-26Yes203 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm600,000$600,000$Lien
Charles HudonBarracuda (Jaw)LW221994-06-23Yes195 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm725,000$725,000$Lien
Derrick PouliotBarracuda (Jaw)D221994-01-16No208 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm1,288,000$1,288,000$1,288,000$Lien
Dylan OlsenBarracuda (Jaw)D251991-01-03No223 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm775,000$Lien
Garret SparksBarracuda (Jaw)G231993-06-28Yes207 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm770,000$770,000$Lien
Jarred TinordiBarracuda (Jaw)D241992-02-20No230 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm1,083,000$Lien
Jon MerrillBarracuda (Jaw)D241992-02-03No205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm900,000$900,000$Lien
Jordan NolanBarracuda (Jaw)C271989-06-23No219 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm950,000$950,000$Lien
Jordan SchroederBarracuda (Jaw)C251990-09-29No184 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm600,000$Lien
Keegan LoweBarracuda (Jaw)D231993-03-29Yes195 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm795,000$Lien
Kyle CliffordBarracuda (Jaw)LW251991-01-13No206 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,075,000$Lien
Michael McCarronBarracuda (Jaw)RW211995-03-07Yes231 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm1,076,000$1,076,000$Lien
Nikolay GoldobinBarracuda (Jaw)LW201995-10-07Yes180 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm1,076,000$1,076,000$Lien
Rinat ValievBarracuda (Jaw)D211995-05-11Yes214 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm894,167$894,167$Lien
Ryan PulockBarracuda (Jaw)D211994-10-06Yes215 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm1,363,000$1,363,000$Lien
Scott WedgewoodBarracuda (Jaw)G241992-08-14Yes195 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm588,000$588,000$Lien
Tobias LindbergBarracuda (Jaw)RW211995-07-22Yes217 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm850,000$850,000$Lien
Tyler EnnisBarracuda (Jaw)C/LW261989-10-06No160 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm2,812,500$Lien
Tyler RandellBarracuda (Jaw)RW251991-06-15Yes198 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm600,000$600,000$Lien
Viktor SvedbergBarracuda (Jaw)D251991-05-24Yes238 Lbs6 ft8NoNoNo2Avec RestrictionPro & Farm575,000$575,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2323.39205 Lbs6 ft21.74961,507$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Kyle CliffordJordan NolanTobias Lindberg30122
3Charles HudonJordan SchroederTyler Randell20122
4Alex KhokhlachevBrody Sutter10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Dylan Olsen30122
3Viktor SvedbergJarred Tinordi20122
4Adam Pelech10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Kyle CliffordJordan NolanTobias Lindberg40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Dylan Olsen40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Kyle CliffordJordan Nolan40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Dylan Olsen40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
240122Dylan Olsen40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Kyle CliffordJordan Nolan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Dylan Olsen40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jordan Schroeder, Tyler Randell, Brody SutterJordan Schroeder, Tyler RandellBrody Sutter
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Keegan Lowe, Rinat Valiev, Viktor SvedbergKeegan LoweRinat Valiev, Viktor Svedberg
Tirs de Pénalité
, , Kyle Clifford, Jordan Nolan,
Gardien
#1 : Garret Sparks, #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
1Hybrides723000111420-6503000111018-82200000042270.5001423370082114701320575375071754247845910426415.38%22481.82%1664148344.77%722188338.34%481117141.08%1684108321356661216579
2Jardiniers51300010917-82010001058-33120000049-540.40091322008211470131527537507175416342829117423.53%21576.19%0664148344.77%722188338.34%481117141.08%1684108321356661216579
3Werewolves807001001248-3630200100412-850500000836-2810.0631221330082114701318175375071754266971531211616.25%29775.86%0664148344.77%722188338.34%481117141.08%1684108321356661216579
4Pirates21000010743110000004221000001032141.000711180082114701366753750717545623628300.00%30100.00%0664148344.77%722188338.34%481117141.08%1684108321356661216579
5Requins20200000612-61010000026-41010000046-200.000691500821147013497537507175473202123500.00%8450.00%0664148344.77%722188338.34%481117141.08%1684108321356661216579
6Evil Saints51400000914-530300000510-52110000044020.200914230082114701315075375071754192963954700.00%17194.12%0664148344.77%722188338.34%481117141.08%1684108321356661216579
7Caribou401001201112-12010010047-32000002075250.625111526108211470131207537507175413261616718211.11%14657.14%1664148344.77%722188338.34%481117141.08%1684108321356661216579
8Doggies44000000822359220000004710372200000035132281.000821422240082114701383753750717541294918659231252.17%28967.86%6664148344.77%722188338.34%481117141.08%1684108321356661216579
9Lowell30300000312-92020000028-61010000014-300.0003470082114701367753750717541254554287114.29%12558.33%0664148344.77%722188338.34%481117141.08%1684108321356661216579
10Leftovers20200000310-71010000025-31010000015-400.00036900821147013567537507175470231517800.00%5340.00%0664148344.77%722188338.34%481117141.08%1684108321356661216579
11Diabotins42000110954320000108351000010012-170.875910190082114701312975375071754117471852100.00%9188.89%0664148344.77%722188338.34%481117141.08%1684108321356661216579
12Hooligans5210011079-2110000002114110011058-370.7007916008211470131827537507175416380617816212.50%18666.67%0664148344.77%722188338.34%481117141.08%1684108321356661216579
13Giants1128001002341-18403001001016-6725000001325-1250.227234265008211470132727537507175436313821315935617.14%541572.22%0664148344.77%722188338.34%481117141.08%1684108321356661216579
14Zombie706000011327-1430300000410-640300001917-810.0711324370082114701316975375071754238717911319315.79%33875.76%0664148344.77%722188338.34%481117141.08%1684108321356661216579
15Casse-Tete51400000925-162110000046-230300000519-1420.20091625008211470131037537507175417661616123417.39%13653.85%0664148344.77%722188338.34%481117141.08%1684108321356661216579
16Chevalier623010001519-442101000131032020000029-760.500152742008211470131827537507175420487769213215.38%18761.11%0664148344.77%722188338.34%481117141.08%1684108321356661216579
17St Johns321000004210322110000027621110000001541140.6674264106008211470137675375071754874422432150.00%11463.64%0664148344.77%722188338.34%481117141.08%1684108321356661216579
Vs Division261170010148100-521416001002643-1712011000012257-3540.0774878126008211470136847537507175486829930939062812.90%932078.49%1664148344.77%722188338.34%481117141.08%1684108321356661216579
Vs Conference46102801232165188-23245140121191838225140002174105-31320.3481652824471082114701311937537507175415846067146711452819.31%1744872.41%8664148344.77%722188338.34%481117141.08%1684108321356661216579
Since Last GM Reset83204801572274308-34411023013311531381542102500241121170-49630.3802744507241082114701322427537507175428011068120611902394217.57%3159171.11%8664148344.77%722188338.34%481117141.08%1684108321356661216579
Total83204801572274308-34411023013311531381542102500241121170-49630.3802744507241082114701322427537507175428011068120611902394217.57%3159171.11%8664148344.77%722188338.34%481117141.08%1684108321356661216579

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8363W12744507242242280110681206119010
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8320481572274308
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4110231331153138
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4210250241121170
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2394217.57%3159171.11%8
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
75375071754821147013
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
664148344.77%722188338.34%481117141.08%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1684108321356661216579


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 - 2016-09-221Hybrides10Barracuda4LSommaire du Match
2 - 2016-09-235Barracuda3Giants1WSommaire du Match
3 - 2016-09-2412Barracuda2Werewolves8LSommaire du Match
6 - 2016-09-2725Barracuda0Giants4LSommaire du Match
8 - 2016-09-2934Giants4Barracuda2LSommaire du Match
11 - 2016-10-0247Barracuda3Jardiniers1WSommaire du Match
12 - 2016-10-0351Chevalier4Barracuda5WXSommaire du Match
13 - 2016-10-0460Barracuda2Werewolves4LSommaire du Match
14 - 2016-10-0566Barracuda1Giants5LSommaire du Match
15 - 2016-10-0672Zombie2Barracuda1LSommaire du Match
18 - 2016-10-0986Hybrides2Barracuda1LSommaire du Match
21 - 2016-10-1297Barracuda1Giants3LSommaire du Match
23 - 2016-10-14104Chevalier1Barracuda3WSommaire du Match
25 - 2016-10-16115Barracuda1Werewolves5LSommaire du Match
26 - 2016-10-17123Casse-Tete2Barracuda3WSommaire du Match
27 - 2016-10-18129Barracuda2Zombie3LXXSommaire du Match
29 - 2016-10-20137Barracuda0Hooligans4LSommaire du Match
30 - 2016-10-21144Werewolves4Barracuda1LSommaire du Match
33 - 2016-10-24159Chevalier2Barracuda4WSommaire du Match
35 - 2016-10-26171Barracuda1Jardiniers5LSommaire du Match
36 - 2016-10-27178Zombie3Barracuda2LSommaire du Match
39 - 2016-10-30190Caribou3Barracuda2LXSommaire du Match
41 - 2016-11-01200Barracuda1Chevalier6LSommaire du Match
42 - 2016-11-02205Barracuda2Zombie4LSommaire du Match
44 - 2016-11-04213St Johns4Barracuda3LSommaire du Match
46 - 2016-11-06225Barracuda2Hybrides1WSommaire du Match
47 - 2016-11-07232Hybrides2Barracuda1LXXSommaire du Match
49 - 2016-11-09238Barracuda1Evil Saints2LSommaire du Match
52 - 2016-11-12250Jardiniers2Barracuda3WXXSommaire du Match
53 - 2016-11-13258Barracuda4Caribou3WXXSommaire du Match
55 - 2016-11-15266Werewolves3Barracuda2LXSommaire du Match
58 - 2016-11-18280Giants3Barracuda2LXSommaire du Match
59 - 2016-11-19286Barracuda24Doggies6WSommaire du Match
61 - 2016-11-21297Barracuda3Caribou2WXXSommaire du Match
63 - 2016-11-23304Doggies6Barracuda21WSommaire du Match
65 - 2016-11-25314Barracuda0Jardiniers3LSommaire du Match
67 - 2016-11-27319Barracuda1Hooligans2LXSommaire du Match
68 - 2016-11-28325Evil Saints3Barracuda2LSommaire du Match
71 - 2016-12-01340Giants4Barracuda3LSommaire du Match
73 - 2016-12-03349Barracuda3Giants5LSommaire du Match
74 - 2016-12-04359Diabotins1Barracuda3WSommaire du Match
76 - 2016-12-06369Doggies4Barracuda26WSommaire du Match
79 - 2016-12-09380Barracuda4Requins6LSommaire du Match
80 - 2016-12-10384Barracuda2Hooligans1WSommaire du Match
82 - 2016-12-12392Barracuda3Zombie5LSommaire du Match
83 - 2016-12-13397Caribou4Barracuda2LSommaire du Match
86 - 2016-12-16412Chevalier3Barracuda1LSommaire du Match
88 - 2016-12-18424Jardiniers6Barracuda2LSommaire du Match
90 - 2016-12-20432Barracuda3Giants2WSommaire du Match
91 - 2016-12-21438Barracuda2Zombie5LSommaire du Match
94 - 2016-12-24447Requins6Barracuda2LSommaire du Match
95 - 2016-12-25450Barracuda2Casse-Tete6LSommaire du Match
97 - 2016-12-27462Barracuda1Casse-Tete9LSommaire du Match
99 - 2016-12-29469Evil Saints4Barracuda1LSommaire du Match
102 - 2017-01-01486Evil Saints3Barracuda2LSommaire du Match
103 - 2017-01-02493Barracuda1Lowell4LSommaire du Match
104 - 2017-01-03498Barracuda2Werewolves5LSommaire du Match
105 - 2017-01-04505Diabotins1Barracuda3WSommaire du Match
109 - 2017-01-08521Barracuda2Hybrides1WSommaire du Match
110 - 2017-01-09523Hooligans1Barracuda2WSommaire du Match
112 - 2017-01-11537Giants5Barracuda3LSommaire du Match
114 - 2017-01-13544Barracuda1Chevalier3LSommaire du Match
115 - 2017-01-14551Barracuda1Leftovers5LSommaire du Match
117 - 2017-01-16558St Johns2Barracuda24WSommaire du Match
120 - 2017-01-19575Hybrides1Barracuda2WXXSommaire du Match
122 - 2017-01-21583Barracuda2Giants5LSommaire du Match
124 - 2017-01-23593Pirates2Barracuda4WSommaire du Match
126 - 2017-01-25603Leftovers5Barracuda2LSommaire du Match
128 - 2017-01-27616Barracuda3Evil Saints2WSommaire du Match
129 - 2017-01-28620Barracuda1Diabotins2LXSommaire du Match
130 - 2017-01-29630Casse-Tete4Barracuda1LSommaire du Match
131 - 2017-01-30635Barracuda2Hooligans1WXXSommaire du Match
133 - 2017-02-01645Hybrides3Barracuda2LSommaire du Match
136 - 2017-02-04659Werewolves5Barracuda1LSommaire du Match
138 - 2017-02-06666Barracuda11Doggies7WSommaire du Match
139 - 2017-02-07676Zombie5Barracuda1LSommaire du Match
140 - 2017-02-08679Barracuda15St Johns4WSommaire du Match
142 - 2017-02-10690Barracuda3Pirates2WXXSommaire du Match
143 - 2017-02-11695Barracuda1Werewolves14LSommaire du Match
145 - 2017-02-13702Lowell4Barracuda1LSommaire du Match
146 - 2017-02-14709Barracuda2Casse-Tete4LSommaire du Match
149 - 2017-02-17720Lowell4Barracuda1LSommaire du Match
152 - 2017-02-20737Diabotins1Barracuda2WXXSommaire du Match
156 - 2017-02-24750Casse-Tete-Barracuda-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,438,167$ 1,927,167$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
3,033,403$ 21,761$ 3,033,403$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 3 21,761$ 65,283$




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
201683204801572274308-34411023013311531381542102500241121170-49632744507241082114701322427537507175428011068120611902394217.57%3159171.11%8664148344.77%722188338.34%481117141.08%1684108321356661216579
Total Saison Régulière83204801572274308-34411023013311531381542102500241121170-49632744507241082114701322427537507175428011068120611902394217.57%3159171.11%8664148344.77%722188338.34%481117141.08%1684108321356661216579