Griffins

GP: 25 | W: 8 | L: 15 | OTL: 2 | P: 18
GF: 46 | GA: 79 | PP%: 8.87% | PK%: 77.88%
DG: Laurent Laporte | Morale : 41 | Moyenne d'Équipe : 59
Prochain matchs #381 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 SP
1Dominic TurgeonX98.00605559667770715660555560557372146590
2Cole CasselsX98.00615572656662695550555559557372145580
3Trevor Moore (R)XX98.00605575666360696050606061555050148580
4Kyle PlatzerXX98.00665566676762665550555556555050148560
5Patrick BrownXX98.00555555555555555550555555555050148530
6Jake DotchinX100.00905574907979787925676581557373135750
7Samuel MorinX100.00655560807978736325606061555353131630
8Jonathan RacineX100.00555555605555665525555555555353148540
9Jakub Zboril (R)X100.00565555605555565525555555555757149540
Rayé
MOYENNE D'ÉQUIPE98.8963556368666467594057576055595914459
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
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Oates51536157727161CAN5331,900,000$


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
1Dominic TurgeonGriffins (Det)C258142272610458910025568.00%3059323.7405518780113732060.49%70100000.7401011250
2Cole CasselsGriffins (Det)C2551015-9295516910216674.90%1554621.8412323841013661159.51%36800000.5501001312
3Trevor MooreGriffins (Det)C/LW25471118018587620605.26%1654921.9813418800003731153.05%21300000.4001000022
4Patrick BrownGriffins (Det)C/RW253811-1828041329424603.19%552721.0813423870000330044.26%6100000.4200000003
5Kyle PlatzerGriffins (Det)C/RW256410-516064417013528.57%454821.9620221770001562044.36%13300000.3600000211
6Jakub ZborilGriffins (Det)D25369-94353529388217.89%2544217.71202164400003310100.00%300000.4100001101
7Jake DotchinGriffins (Det)D12369-1138042282672311.54%1029524.6223518440000200050.00%400000.6100000000
8Jonathan RacineGriffins (Det)D25156-72603926175135.88%2435814.34101734000024000.00%400000.3300000010
9Samuel MorinGriffins (Det)D12325-118017232381613.04%1130725.6612317390000340025.00%400000.3200000010
10Stuart PercyDetroit Red WingsD410111208352220.00%37418.730002700008000.00%000000.2700000000
11Julien GauthierDetroit Red WingsRW2000-160213270.00%13819.4800006000020040.00%500000.0000000000
Stats d'équipe Total ou en Moyenne205376299-62240203623995541303776.68%144428320.89111829163586112104267256.82%149600000.46030138119
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
1Tyler ParsonsDetroit Red Wings41300.9112.5123920101120000.000040000
Stats d'équipe Total ou en Moyenne41300.9112.5123920101120000.000040000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire 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
Cole CasselsGriffins (Det)C211995-05-04No178 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No500,000$
Dominic TurgeonGriffins (Det)C201996-02-25No196 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Jake DotchinGriffins (Det)D221994-03-24No207 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Jakub ZborilGriffins (Det)D191997-02-21Yes201 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Jonathan RacineGriffins (Det)D231993-05-28No194 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Kyle PlatzerGriffins (Det)C/RW211995-03-04No182 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Patrick BrownGriffins (Det)C/RW241992-05-28No210 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Samuel MorinGriffins (Det)D211995-07-12No202 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No500,000$
Trevor MooreGriffins (Det)C/LW211995-03-31Yes174 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
921.33194 Lbs6 ft12.56388,889$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Trevor MooreDominic TurgeonKyle Platzer40122
2Cole CasselsPatrick Brown30122
3Cole CasselsDominic TurgeonTrevor Moore20122
4Patrick BrownKyle Platzer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake DotchinSamuel Morin40122
2Jakub ZborilJonathan Racine30122
3Jake DotchinSamuel Morin20122
4Jakub ZborilJonathan Racine10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Trevor MooreDominic TurgeonKyle Platzer60122
2Cole CasselsPatrick Brown40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake DotchinSamuel Morin60122
2Jakub ZborilJonathan Racine40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Dominic TurgeonCole Cassels60122
2Trevor MooreKyle Platzer40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake DotchinSamuel Morin60122
2Jakub ZborilJonathan Racine40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Dominic Turgeon60122Jake DotchinSamuel Morin60122
2Cole Cassels40122Jakub ZborilJonathan Racine40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dominic TurgeonCole Cassels60122
2Trevor MooreKyle Platzer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake DotchinSamuel Morin60122
2Jakub ZborilJonathan Racine40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Trevor MooreDominic TurgeonKyle PlatzerJake DotchinSamuel Morin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Trevor MooreDominic TurgeonKyle PlatzerJake DotchinSamuel Morin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Patrick Brown, Trevor Moore, Kyle PlatzerPatrick Brown, Trevor MooreKyle Platzer
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jake Dotchin, Samuel Morin, Jakub ZborilJake DotchinSamuel Morin, Jakub Zboril
Tirs de Pénalité
Dominic Turgeon, Cole Cassels, Trevor Moore, Kyle Platzer, Patrick Brown
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
1Admirals2020000015-42020000015-40000000000000.000123001617121332491982028561014441218.33%6183.33%042273357.57%32565249.85%19134555.36%592419627175292142
2Bears1010000013-21010000013-20000000000000.000112001617121212491982028351414144125.00%7271.43%042273357.57%32565249.85%19134555.36%592419627175292142
3IceHogs2020000036-31010000013-21010000023-100.0003470016171214324919820283916223112216.67%10370.00%042273357.57%32565249.85%19134555.36%592419627175292142
4Monsters1010000004-4000000000001010000004-400.0000000016171213124919820282693412600.00%50100.00%042273357.57%32565249.85%19134555.36%592419627175292142
5Moose3300000014681100000042222000000104661.0001423370016171211442491982028792027731317.69%110100.00%142273357.57%32565249.85%19134555.36%592419627175292142
6Rampage3020010058-32010010046-21010000012-110.16751015001617121742491982028712320581715.88%90100.00%042273357.57%32565249.85%19134555.36%592419627175292142
7Reign11000000312110000003120000000000021.0003690016171214724919820282581227500.00%60100.00%042273357.57%32565249.85%19134555.36%592419627175292142
8Senators2010000127-5000000000002010000127-510.250235001617121442491982028421426278225.00%9544.44%042273357.57%32565249.85%19134555.36%592419627175292142
9Stars3110100045-1210010004221010000003-340.6674812001617121582491982028622135421400.00%15380.00%042273357.57%32565249.85%19134555.36%592419627175292142
Total25715011014679-331347011002135-141238000012544-19180.36046811270116171216542491982028637189280440124118.87%1132577.88%142273357.57%32565249.85%19134555.36%592419627175292142
11Wild31200000612-61100000010120200000512-720.333611170116171215624919820288125305017211.76%14285.71%042273357.57%32565249.85%19134555.36%592419627175292142
12Wolves41300000722-1520200000213-112110000059-420.2507132000161712110324919820281212946621616.25%21957.14%042273357.57%32565249.85%19134555.36%592419627175292142
_Since Last GM Reset25715011014679-331347011002135-141238000012544-19180.36046811270116171216542491982028637189280440124118.87%1132577.88%142273357.57%32565249.85%19134555.36%592419627175292142
_Vs Conference17312011002658-321026011001329-16716000001329-1690.26526487401161712136724919820284301241672878877.95%751876.00%042273357.57%32565249.85%19134555.36%592419627175292142
_Vs Division519001001023-1330600100514-92130000059-430.30010192900161712115024919820281463758892114.76%27966.67%042273357.57%32565249.85%19134555.36%592419627175292142

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2518L3468112765463718928044001
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2571511014679
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
134711002135
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
123800012544
Derniers 10 Matchs
WLOTWOTL SOWSOL
171100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
124118.87%1132577.88%1
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
24919820281617121
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
42273357.57%32565249.85%19134555.36%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
592419627175292142


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
3 - 2018-09-075Griffins0Stars3LSommaire du Match
4 - 2018-09-0818Griffins1Rampage2LSommaire du Match
10 - 2018-09-1434Bears3Griffins1LSommaire du Match
11 - 2018-09-1553Griffins4Wolves2WSommaire du Match
15 - 2018-09-1965Stars1Griffins2WSommaire du Match
18 - 2018-09-2287Wolves7Griffins2LSommaire du Match
24 - 2018-09-28108Griffins2Senators3LXXSommaire du Match
25 - 2018-09-29121Griffins0Senators4LSommaire du Match
31 - 2018-10-05142Wild0Griffins1WSommaire du Match
32 - 2018-10-06159Admirals3Griffins0LSommaire du Match
33 - 2018-10-07169Griffins0Monsters4LSommaire du Match
37 - 2018-10-11180Griffins3Moose2WSommaire du Match
39 - 2018-10-13197Griffins7Moose2WSommaire du Match
43 - 2018-10-17216IceHogs3Griffins1LSommaire du Match
45 - 2018-10-19226Reign1Griffins3WSommaire du Match
46 - 2018-10-20241Moose2Griffins4WSommaire du Match
52 - 2018-10-26267Admirals2Griffins1LSommaire du Match
53 - 2018-10-27286Griffins1Wolves7LSommaire du Match
55 - 2018-10-29298Griffins3Wild7LSommaire du Match
57 - 2018-10-31302Wolves6Griffins0LSommaire du Match
59 - 2018-11-02310Rampage3Griffins2LXSommaire du Match
60 - 2018-11-03325Stars1Griffins2WXSommaire du Match
64 - 2018-11-07342Rampage3Griffins2LSommaire du Match
66 - 2018-11-09356Griffins2IceHogs3LSommaire du Match
67 - 2018-11-10372Griffins2Wild5LSommaire du Match
70 - 2018-11-13381Griffins-Admirals-
73 - 2018-11-16392IceHogs-Griffins-
74 - 2018-11-17406Admirals-Griffins-
75 - 2018-11-18420Griffins-IceHogs-
78 - 2018-11-21426Monsters-Griffins-
80 - 2018-11-23442Griffins-Moose-
81 - 2018-11-24451Griffins-Moose-
87 - 2018-11-30477Griffins-Monsters-
88 - 2018-12-01492Monsters-Griffins-
90 - 2018-12-03507IceHogs-Griffins-
94 - 2018-12-07522Griffins-Penguins-
95 - 2018-12-08536Griffins-Bears-
99 - 2018-12-12555Griffins-Admirals-
101 - 2018-12-14564Senators-Griffins-
102 - 2018-12-15579Senators-Griffins-
106 - 2018-12-19601Griffins-Wolves-
108 - 2018-12-21611Griffins-IceHogs-
109 - 2018-12-22622Admirals-Griffins-
113 - 2018-12-26648Moose-Griffins-
115 - 2018-12-28657Barracuda-Griffins-
116 - 2018-12-29677Barracuda-Griffins-
121 - 2019-01-03682Griffins-Stars-
122 - 2019-01-04692Griffins-Rampage-
127 - 2019-01-09717Moose-Griffins-
130 - 2019-01-12738Penguins-Griffins-
131 - 2019-01-13754Wolves-Griffins-
136 - 2019-01-18770Rampage-Griffins-
137 - 2019-01-19784Rampage-Griffins-
141 - 2019-01-23810IceHogs-Griffins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25820Stars-Griffins-
144 - 2019-01-26836Griffins-Wolves-
151 - 2019-02-02873Griffins-IceHogs-
155 - 2019-02-06891Stars-Griffins-
157 - 2019-02-08900Wild-Griffins-
158 - 2019-02-09917Griffins-Admirals-
164 - 2019-02-15948IceHogs-Griffins-
165 - 2019-02-16961Griffins-Admirals-
168 - 2019-02-19974Griffins-Rampage-
169 - 2019-02-20982Griffins-Stars-
172 - 2019-02-231004Griffins-Stars-
173 - 2019-02-241012Griffins-Rampage-
175 - 2019-02-261017Griffins-Wild-
178 - 2019-03-011030Wolves-Griffins-
179 - 2019-03-021045Griffins-IceHogs-
180 - 2019-03-031055Admirals-Griffins-
183 - 2019-03-061070Griffins-Reign-
185 - 2019-03-081081Griffins-Barracuda-
186 - 2019-03-091085Griffins-Barracuda-
190 - 2019-03-131109Wild-Griffins-
192 - 2019-03-151118Moose-Griffins-
193 - 2019-03-161131Griffins-Admirals-



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
25 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
668,540$ 35,000$ 37,180$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 12,317$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 127 9,974$ 1,266,698$




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
1325715011014679-331347011002135-141238000012544-191846811270116171216542491982028637189280440124118.87%1132577.88%142273357.57%32565249.85%19134555.36%592419627175292142
Total Saison Régulière25715011014679-331347011002135-141238000012544-191846811270116171216542491982028637189280440124118.87%1132577.88%142273357.57%32565249.85%19134555.36%592419627175292142