Griffins

GP: 47 | W: 23 | L: 22 | OTL: 2 | P: 48
GF: 127 | GA: 135 | PP%: 14.87% | PK%: 85.06%
DG: Simon Thérien | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #524 vs Rampage
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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
1Christoffer EhnXXX100.00764398647056835755545674255757635000242925,000$
2David Pope (R)X100.007570886070474845503847604544445250002531,437,500$
3Michael AmadioXX100.00614194737164857174625962255758645000242925,000$
4Gage QuinneyXX100.00797394627373766580606569625151675000242902,500$
5Henrik BorgstromXX100.00787193847176815873525866554949645000222925,000$
6Jansen HarkinsX100.00614194676857825726635858255353615000232925,000$
7Joey Anderson (R)X100.00734396766964726045607384254949735000223925,000$
8Jonathan Ang (R)X100.00686185606174795771565359504444585000223910,833$
9Martin FrkXX100.00714391747566667125618058254848725000261700,000$
10Matt PuempelXX100.00777583647573756750636569625555685000272675,000$
11Noah Gregor (R)XXX100.00834490776856755836576055254646635000213850,000$
12Sam BennettXXX100.008445808374637964625868632565666850002421,950,000$
13Dominic TurgeonXX100.00807397637380875670505667535353625000241900,000$
14Dennis CholowskiX100.00634194776477878025524863255555615000222894,166$
15Philippe MyersX100.00814582807671826025584965255353635000232678,889$
16Gustav Lindstrom (R)X100.00774475727070686125454774254545595000213925,000$
17Alexander Yelesin (R)X100.009847996869596658253947572544445750002411,250,000$
18Chad Krys (R)X100.00736786676757604725374159394444515000223925,000$
19Joe HickettsX100.00696188666175815525544061384949565000241635,000$
Rayé
1Joe Morrow (R)X100.00717172517151524825394159394444505000271650,000$
MOYENNE D'ÉQUIPE100.0075558969706574604553566436505062500
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
1Jonas Johansson100.0064607584656863706867304444655000
2Marcus Hogberg (R)100.0070716787756457707370754646685000
Rayé
1Sam Montembeault100.0053696578574953555953754545565000
MOYENNE D'ÉQUIPE100.006267698366605865676360454563500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Carlyle77797176938751CAN6534,500,000$


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
1Dennis CholowskiGriffins (DET)D47113243460165592284511.96%3999821.2471219762290221193100.00%000000.8600000344
2Michael AmadioGriffins (DET)C/RW4713274071403111713939829.35%6101221.54511164220701121892060.61%88100000.7911000402
3Jansen HarkinsGriffins (DET)C47231740-7380561161622611414.20%2080017.03426839000034032.63%56700021.0000000660
4Christoffer EhnGriffins (DET)C/LW/RW4722173984357852103247721.36%1181117.277714332070112745142.00%5000100.9600010532
5Philippe MyersGriffins (DET)D47623294860104506925438.70%3495520.3221214572250001158000.00%000000.6100000135
6Henrik BorgstromGriffins (DET)C/LW47101424-142403612610522809.52%1385918.30167252020001921358.65%91900000.5611000133
7Dominic TurgeonGriffins (DET)C/LW4791322-134220415067164513.43%1181317.304592520710111051164.29%7000000.5400211122
8Gustav LindstromGriffins (DET)D4731518-1954098477020544.29%4187518.6231013612060000159000.00%000000.4100000003
9Noah GregorGriffins (DET)C/LW/RW474812-1442073486215436.45%270615.0412314203000003048.94%4700000.3400000211
10Joe HickettsGriffins (DET)D47336-19360333828111610.71%2488818.91314252090000169010.00%000000.1400000000
11Sam BennettGriffins (DET)C/LW/RW50333601065220.00%09018.08011221000000075.00%400000.6601000001
12Jonathan AngGriffins (DET)C8000000021000.00%0313.95000040000190053.85%1300000.0000000000
Stats d'équipe Total ou en Moyenne483104172276-603912557670790322860111.52%201884418.31376910636819641458116517653.19%255100120.6223221232223
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 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
Alexander YelesinGriffins (DET)D241996-02-07Yes192 Lbs5 ft11NoNoNo1Pro & Farm1,250,000$514,113$1,000,000$411,290$0$0$NoLien
Chad KrysGriffins (DET)D221998-04-10Yes185 Lbs5 ft11NoNoNo3Pro & Farm925,000$380,444$925,000$380,444$0$0$No925,000$925,000$
Christoffer EhnGriffins (DET)C/LW/RW241996-04-05No181 Lbs6 ft3NoNoNo2Pro & Farm925,000$380,444$450,000$185,081$0$0$No925,000$Lien
David PopeGriffins (DET)LW251994-09-27Yes187 Lbs6 ft2NoNoNo3Pro & Farm1,437,500$591,230$1,437,500$591,230$0$0$No1,437,500$1,437,500$
Dennis CholowskiGriffins (DET)D221998-02-15No170 Lbs6 ft0NoNoNo2Pro & Farm894,166$367,762$450,000$185,081$0$0$No894,166$Lien
Dominic TurgeonGriffins (DET)C/LW241996-02-24No196 Lbs6 ft2NoNoNo1Pro & Farm900,000$370,161$900,000$370,161$0$0$NoLien
Gage QuinneyGriffins (DET)C/LW241995-07-29No201 Lbs6 ft0NoNoNo2Pro & Farm902,500$371,190$715,000$294,073$0$0$No715,000$Lien
Gustav LindstromGriffins (DET)D211998-10-20Yes187 Lbs6 ft2NoNoNo3Pro & Farm925,000$380,444$925,000$380,444$0$0$No925,000$925,000$
Henrik BorgstromGriffins (DET)C/LW221997-08-06No185 Lbs6 ft3NoNoNo2Pro & Farm925,000$380,444$450,000$185,081$0$0$No925,000$Lien
Jansen HarkinsGriffins (DET)C231997-05-23No182 Lbs6 ft1NoNoNo2Pro & Farm925,000$380,444$925,000$380,444$0$0$No925,000$Lien
Joe HickettsGriffins (DET)D241996-05-04No175 Lbs5 ft8NoNoNo1Pro & Farm635,000$261,169$635,000$261,169$0$0$NoLien
Joe MorrowGriffins (DET)D271992-12-09Yes196 Lbs6 ft0NoNoNo1Pro & Farm650,000$267,339$650,000$267,339$0$0$NoLien
Joey AndersonGriffins (DET)RW221998-06-19Yes190 Lbs5 ft11NoNoNo3Pro & Farm925,000$380,444$925,000$380,444$0$0$No925,000$925,000$
Jonas JohanssonGriffins (DET)G241995-09-18No206 Lbs6 ft4NoNoNo3Pro & Farm1,362,500$560,383$925,000$380,444$0$0$No925,000$925,000$Lien
Jonathan AngGriffins (DET)C221998-01-31Yes165 Lbs5 ft11NoNoNo3Pro & Farm910,833$374,617$910,833$374,617$0$0$No910,833$910,833$
Marcus HogbergGriffins (DET)G251994-11-24Yes209 Lbs6 ft5NoNoNo3Pro & Farm700,000$287,903$700,000$287,903$0$0$No700,000$700,000$
Martin FrkGriffins (DET)LW/RW261993-10-04No205 Lbs6 ft1NoNoNo1Pro & Farm700,000$287,903$700,000$287,903$0$0$NoLien
Matt PuempelGriffins (DET)LW/RW271993-01-24No205 Lbs6 ft1NoNoNo2Pro & Farm675,000$277,621$675,000$277,621$0$0$No675,000$Lien
Michael AmadioGriffins (DET)C/RW241996-05-13No190 Lbs6 ft1NoNoNo2Pro & Farm925,000$380,444$925,000$380,444$0$0$No925,000$Lien
Noah GregorGriffins (DET)C/LW/RW211998-07-27Yes185 Lbs6 ft0NoNoNo3Pro & Farm850,000$349,597$850,000$349,597$0$0$No850,000$850,000$
Philippe MyersGriffins (DET)D231997-01-25No196 Lbs6 ft5NoNoNo2Pro & Farm678,889$279,220$678,889$279,220$0$0$No678,889$Lien
Sam BennettGriffins (DET)C/LW/RW241996-06-19No200 Lbs6 ft1NoNoNo2Pro & Farm1,950,000$802,016$1,950,000$802,016$0$0$No1,950,000$Lien
Sam MontembeaultGriffins (DET)G231996-10-30No192 Lbs6 ft3NoNoNo3Pro & Farm708,750$291,502$708,750$291,502$0$0$No708,750$708,750$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2323.61190 Lbs6 ft12.17942,615$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael AmadioChristoffer Ehn35122
2Dominic TurgeonHenrik BorgstromNoah Gregor30122
3Jansen Harkins25122
4Michael AmadioHenrik Borgstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers35122
2Gustav LindstromJoe Hicketts30122
325122
4Dennis CholowskiPhilippe Myers10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael AmadioChristoffer Ehn60122
2Dominic TurgeonHenrik BorgstromNoah Gregor40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers60122
2Gustav LindstromJoe Hicketts40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael Amadio60122
2Henrik BorgstromChristoffer Ehn40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers60122
2Gustav LindstromJoe Hicketts40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Dennis CholowskiPhilippe Myers60122
2Michael Amadio40122Gustav LindstromJoe Hicketts40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael Amadio60122
2Henrik BorgstromChristoffer Ehn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers60122
2Gustav LindstromJoe Hicketts40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael AmadioChristoffer EhnDennis CholowskiPhilippe Myers
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael AmadioChristoffer EhnDennis CholowskiPhilippe Myers
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jansen Harkins, , Dominic TurgeonJansen Harkins, Dominic Turgeon
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Gustav Lindstrom, Gustav Lindstrom
Tirs de Pénalité
, Michael Amadio, Henrik Borgstrom, Christoffer Ehn, Dominic Turgeon
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
1Admirals1010000035-21010000035-20000000000000.0003690048413632433437937681718186116.67%4325.00%0685134850.82%588128245.87%37368654.37%11217921160343554271
2Bruins624000001113-2422000009902020000024-240.3331117280048413631353343793768118326411028310.71%28485.71%0685134850.82%588128245.87%37368654.37%11217921160343554271
3Crunch733001001825-742200000914-531100100911-270.5001831490048413631823343793768183587012848714.58%34488.24%0685134850.82%588128245.87%37368654.37%11217921160343554271
4Flames2020000025-31010000001-11010000024-200.000235004841363313343793768281128466116.67%14285.71%0685134850.82%588128245.87%37368654.37%11217921160343554271
5Marlies522010001716120101000660321000001110160.60017314800484136315633437937688224486839512.82%22481.82%1685134850.82%588128245.87%37368654.37%11217921160343554271
6Monarchs2110000045-11010000002-21100000043120.500459004841363453343793768411026311500.00%12375.00%0685134850.82%588128245.87%37368654.37%11217921160343554271
7Monsters11000000413110000004130000000000021.0004590048413631833437937688112235240.00%50100.00%0685134850.82%588128245.87%37368654.37%11217921160343554271
8Moose1010000002-2000000000001010000002-200.0000000048413631033437937682251812100.00%9277.78%0685134850.82%588128245.87%37368654.37%11217921160343554271
9Penguins1010000016-5000000000001010000016-500.0001120048413632333437937682361788112.50%6183.33%0685134850.82%588128245.87%37368654.37%11217921160343554271
10Phantoms2110000069-3000000000002110000069-320.50061117004841363443343793768381328331317.69%13192.31%0685134850.82%588128245.87%37368654.37%11217921160343554271
11Rampage11000000514110000005140000000000021.000510150048413632333437937682361718100.00%60100.00%0685134850.82%588128245.87%37368654.37%11217921160343554271
12Rocket65000100221210320001001064330000001266110.9172238600048413631293343793768105357611239717.95%29486.21%0685134850.82%588128245.87%37368654.37%11217921160343554271
13Senators632000102118333000000125730200010913-480.6672137580148413631533343793768138416410029517.24%30680.00%1685134850.82%588128245.87%37368654.37%11217921160343554271
14Sharks1010000023-1000000000001010000023-100.00023500484136327334379376823510117114.29%5180.00%0685134850.82%588128245.87%37368654.37%11217921160343554271
15Soldiers11000000211000000000001100000021121.000246004841363183343793768245886116.67%4175.00%0685134850.82%588128245.87%37368654.37%11217921160343554271
16Sound Tigers11000000312110000003120000000000021.000369004841363253343793768231316164250.00%80100.00%0685134850.82%588128245.87%37368654.37%11217921160343554271
17Stars1010000026-41010000026-40000000000000.000246004841363123343793768275623400.00%30100.00%0685134850.82%588128245.87%37368654.37%11217921160343554271
Total47212201210127135-8241210011006459523912001106376-13480.511127219346014841363109433437937689682855417832694014.87%2413685.06%2685134850.82%588128245.87%37368654.37%11217921160343554271
18Wolf Pack2020000046-21010000012-11010000034-100.00047110048413633933437937684514251810330.00%90100.00%0685134850.82%588128245.87%37368654.37%11217921160343554271
_Since Last GM Reset47212201210127135-8241210011006459523912001106376-13480.511127219346014841363109433437937689682855417832694014.87%2413685.06%2685134850.82%588128245.87%37368654.37%11217921160343554271
_Vs Conference945000002124-3523000001315-24220000089-180.44421385900484136318433437937682005010913744511.36%511080.39%0685134850.82%588128245.87%37368654.37%11217921160343554271
_Vs Division32100000981211000007701100000021140.66791827004841363533343793768741631491119.09%13192.31%0685134850.82%588128245.87%37368654.37%11217921160343554271

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4748L5127219346109496828554178301
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4721221210127135
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
24121011006459
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2391201106376
Derniers 10 Matchs
WLOTWOTL SOWSOL
190000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2694014.87%2413685.06%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
33437937684841363
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
685134850.82%588128245.87%37368654.37%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11217921160343554271


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 - 2020-09-278Senators2Griffins6WSommaire du Match
3 - 2020-09-2921Griffins1Bruins2LSommaire du Match
4 - 2020-09-3028Marlies2Griffins3WXSommaire du Match
5 - 2020-10-0138Griffins4Senators3WXXSommaire du Match
6 - 2020-10-0250Rocket2Griffins4WSommaire du Match
8 - 2020-10-0456Griffins5Marlies2WSommaire du Match
11 - 2020-10-0776Griffins4Rocket2WSommaire du Match
12 - 2020-10-0884Griffins4Senators5LSommaire du Match
14 - 2020-10-1090Rocket3Griffins2LXSommaire du Match
16 - 2020-10-12105Senators0Griffins1WSommaire du Match
18 - 2020-10-14119Griffins3Marlies1WSommaire du Match
20 - 2020-10-16126Bruins1Griffins5WSommaire du Match
22 - 2020-10-18142Rocket1Griffins4WSommaire du Match
23 - 2020-10-19153Griffins4Rocket2WSommaire du Match
25 - 2020-10-21164Crunch2Griffins3WSommaire du Match
26 - 2020-10-22173Griffins3Crunch4LXSommaire du Match
27 - 2020-10-23185Griffins2Soldiers1WSommaire du Match
29 - 2020-10-25197Monarchs2Griffins0LSommaire du Match
31 - 2020-10-27207Bruins3Griffins0LSommaire du Match
33 - 2020-10-29218Griffins4Monarchs3WSommaire du Match
35 - 2020-10-31229Bruins3Griffins4WSommaire du Match
37 - 2020-11-02239Griffins4Crunch3WSommaire du Match
39 - 2020-11-04251Crunch5Griffins2LSommaire du Match
42 - 2020-11-07264Griffins0Moose2LSommaire du Match
43 - 2020-11-08273Griffins1Penguins6LSommaire du Match
44 - 2020-11-09282Rampage1Griffins5WSommaire du Match
45 - 2020-11-10292Griffins4Rocket2WSommaire du Match
47 - 2020-11-12304Crunch3Griffins4WSommaire du Match
48 - 2020-11-13316Sound Tigers1Griffins3WSommaire du Match
50 - 2020-11-15333Senators3Griffins5WSommaire du Match
51 - 2020-11-16342Griffins2Sharks3LSommaire du Match
52 - 2020-11-17350Griffins1Senators5LSommaire du Match
53 - 2020-11-18356Griffins3Wolf Pack4LSommaire du Match
54 - 2020-11-19368Bruins2Griffins0LSommaire du Match
56 - 2020-11-21381Griffins3Marlies7LSommaire du Match
57 - 2020-11-22391Monsters1Griffins4WSommaire du Match
58 - 2020-11-23404Marlies4Griffins3LSommaire du Match
60 - 2020-11-25418Griffins2Phantoms7LSommaire du Match
61 - 2020-11-26427Griffins2Crunch4LSommaire du Match
63 - 2020-11-28434Admirals5Griffins3LSommaire du Match
64 - 2020-11-29451Flames1Griffins0LSommaire du Match
66 - 2020-12-01461Griffins4Phantoms2WSommaire du Match
67 - 2020-12-02468Griffins2Flames4LSommaire du Match
68 - 2020-12-03479Wolf Pack2Griffins1LSommaire du Match
70 - 2020-12-05493Stars6Griffins2LSommaire du Match
71 - 2020-12-06499Griffins1Bruins2LSommaire du Match
72 - 2020-12-07513Crunch4Griffins0LSommaire du Match
74 - 2020-12-09524Griffins-Rampage-
75 - 2020-12-10537Marlies-Griffins-
77 - 2020-12-12545Griffins-Stars-
78 - 2020-12-13558Griffins-Marlies-
79 - 2020-12-14565Phantoms-Griffins-
81 - 2020-12-16580Moose-Griffins-
82 - 2020-12-17592Marlies-Griffins-
84 - 2020-12-19599Griffins-Penguins-
86 - 2020-12-21616Griffins-Crunch-
87 - 2020-12-22622Griffins-Monsters-
88 - 2020-12-23633Wolves-Griffins-
90 - 2020-12-25646Soldiers-Griffins-
92 - 2020-12-27658Griffins-Senators-
93 - 2020-12-28668Griffins-Condors-
94 - 2020-12-29676Penguins-Griffins-
95 - 2020-12-30689Griffins-Rocket-
96 - 2020-12-31698Rocket-Griffins-
97 - 2021-01-01711Senators-Griffins-
100 - 2021-01-04729Senators-Griffins-
101 - 2021-01-05735Griffins-Wolf Pack-
102 - 2021-01-06746Griffins-Sound Tigers-
103 - 2021-01-07755Griffins-Admirals-
104 - 2021-01-08762Griffins-Sound Tigers-
105 - 2021-01-09770Rocket-Griffins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
107 - 2021-01-11786IceHogs-Griffins-
108 - 2021-01-12797Sharks-Griffins-
110 - 2021-01-14815Condors-Griffins-
111 - 2021-01-15822Griffins-IceHogs-
112 - 2021-01-16830Griffins-Wolf Pack-
115 - 2021-01-19845IceHogs-Griffins-
116 - 2021-01-20854Griffins-Wolves-
117 - 2021-01-21868Griffins-Bruins-
118 - 2021-01-22874Monsters-Griffins-
120 - 2021-01-24885Griffins-Bruins-
122 - 2021-01-26900Phantoms-Griffins-



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
17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
4,072,311$ 2,168,014$ 1,941,097$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,423,134$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 51 53,774$ 2,742,474$




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