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Connexion

Griffins
GP: 68 | W: 35 | L: 18 | OTL: 15 | P: 85
GF: 193 | GA: 192 | PP%: 29.14% | PK%: 76.00%
DG: Joel Martens | Morale : 50 | Moyenne d’équipe : 57
Prochains matchs #1068 vs Rocket

Centre de jeu
Griffins
35-18-15, 85pts
2
3 Admirals
32-27-10, 74pts
Team Stats
OTL1SéquenceL1
20-9-5Fiche domicile16-16-2
15-9-10Fiche domicile16-11-8
5-1-4Derniers 10 matchs5-3-2
2.84Buts par match 2.22
2.82Buts contre par match 2.64
29.14%Pourcentage en avantage numérique27.07%
76.00%Pourcentage en désavantage numérique68.45%
Griffins
35-18-15, 85pts
0
1 Monsters
22-31-15, 59pts
Team Stats
OTL1SéquenceW1
20-9-5Fiche domicile8-17-10
15-9-10Fiche domicile14-14-5
5-1-4Derniers 10 matchs3-5-2
2.84Buts par match 1.65
2.82Buts contre par match 2.40
29.14%Pourcentage en avantage numérique23.13%
76.00%Pourcentage en désavantage numérique71.53%
Rocket
41-13-15, 97pts
Jour 86
Griffins
35-18-15, 85pts
Statistiques d’équipe
W1SéquenceOTL1
23-5-6Fiche domicile20-9-5
18-8-9Fiche visiteur15-9-10
6-0-410 derniers matchs5-1-4
2.32Buts par match 2.84
1.90Buts contre par match 2.84
30.22%Pourcentage en avantage numérique29.14%
74.42%Pourcentage en désavantage numérique76.00%
Islanders
35-20-13, 83pts
Jour 88
Griffins
35-18-15, 85pts
Statistiques d’équipe
L1SéquenceOTL1
17-9-8Fiche domicile20-9-5
18-11-5Fiche visiteur15-9-10
4-1-510 derniers matchs5-1-4
3.38Buts par match 2.84
3.04Buts contre par match 2.84
20.67%Pourcentage en avantage numérique29.14%
77.16%Pourcentage en désavantage numérique76.00%
Griffins
35-18-15, 85pts
Jour 89
Barracuda
46-16-6, 98pts
Statistiques d’équipe
OTL1SéquenceW6
20-9-5Fiche domicile23-9-2
15-9-10Fiche visiteur23-7-4
5-1-410 derniers matchs8-2-0
2.84Buts par match 2.06
2.82Buts contre par match 2.06
29.14%Pourcentage en avantage numérique24.32%
76.00%Pourcentage en désavantage numérique84.29%
Meneurs d'équipe
Buts
Adam Beckman
31
Passes
Braeden Bowman
33
Points
Adam Beckman
63
Plus/Moins
Xavier Bourgault
12
Victoires
Brandon Halverson
35
Pourcentage d’arrêts
Brandon Halverson
0.879

Statistiques d’équipe
Buts pour
193
2.84 GFG
Tirs pour
1331
19.57 Avg
Pourcentage en avantage numérique
29.1%
44 GF
Début de zone offensive
35.3%
Buts contre
192
2.82 GAA
Tirs contre
1419
20.87 Avg
Pourcentage en désavantage numérique
76.0%%
48 GA
Début de la zone défensive
38.7%
Informations de l'équipe

Directeur généralJoel Martens
EntraîneurBobby Sanguinetti
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,167
Billets de saison1,500


Informations de la formation

Équipe Pro24
Équipe Mineure22
Limite contact 46 / 100
Espoirs68


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
1Adam BeckmanXX100.0075728169746262664965656258464661686202421,241,000$
2Andrew AgozzinoX100.0067657268656970655061676062464662566103512,000,000$
3Cam Lund (R)X100.0067428975745953675659716325464666506102112,000,000$
4Nathan GaucherX100.0077826167846973556651556150464656735902231,107,000$
5Nate Danielson (R)X100.0075718569735656617560576253464659715902131,286,000$
6Xavier BourgaultX100.0072649468667377585052606155474658665902311,167,500$
7Nico Myatovic (R)X100.0078739167757379525047546151464657695802131,282,000$
8Lucas CionaX100.0076786967807683505048475946464654695702331,283,000$
9Jean-Luc FoudyX100.0070648866666164536656475845464653635602321,220,000$
10Filip EngarasX100.007774896374494948614645614445455343530261750,000$
11Brandon BaddockX100.0069824262825658465044455744464549455203112,000,000$
12Brady StonehouseX100.0074649981655154435038445942454551185202111,000,000$
13Frederic Brunet (R)X100.0078748669767886512547426339464653606202231,331,000$
14Connor CarrickX100.0067696167697478622550575955464759596003211,000,000$
15Hunter DrewX100.006778386678697356254157575346465677590271899,000$
16Joseph CecconiX100.008080796480555749254142633846465079580281994,000$
17Jeremy Hanzel (R)X100.0076748682765356412528385837464648475702331,280,000$
18Jackson Edward (R)X100.0076738764755254472538395938464650455502231,278,000$
19Andy WelinskiX100.0078749260743634442535386037464648495203312,000,000$
Rayé
1Braeden Bowman (R)X67.6683789367795655625060616755464661696102212,000,000$
2Alex Campbell (R)X100.0073639963643937506449476046454553195202511,000,000$
3Andrew PerrottX100.006675456276393847253641553945454720510242950,000$
MOYENNE D’ÉQUIPE98.53747178687459615345485160464646555557
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 SPÂgeContratSalaire
1Brandon Halverson100.006153669662676771706730464662806503011,000,000$
2Hunter Miska100.004548606542434851444630444447784803011,000,000$
Rayé
MOYENNE D’ÉQUIPE100.0053516381525558615757304545557957
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bobby Sanguinetti40404040404040TUR8111,000,000$


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
1Adam BeckmanGriffins (DET)LW/RW64313263-410355961151574910719.75%17127019.851081823851011355543.14%7652322000.9916613564
2Braeden BowmanGriffins (DET)RW57253358663457279128446319.53%24117220.5761218207820231004341.95%2983019010.9913504644
3Nathan GaucherGriffins (DET)C68222951412755126115110378320.00%27139320.50291112803256714352.17%6442021010.73315344366
4Xavier BourgaultGriffins (DET)RW6822224412171568104112476019.64%36144521.2676132410932581001340.18%1121722000.6112111162
5Nate DanielsonGriffins (DET)C64182442-541256492142337212.68%17116218.16471111510002643151.48%2701521100.7226104312
6Andrew AgozzinoGriffins (DET)LW52201535538206171103326019.42%1193517.9963912470223895150.00%422310100.7509022613
7Nico MyatovicGriffins (DET)LW6710112122420729465143515.38%15119817.894156630002542233.33%361121000.3500211221
8Cam LundGriffins (DET)C4681220-220537655252714.55%678417.060004190113381255.08%256197000.5100000412
9Jean-Luc FoudyGriffins (DET)C6361420495384642152014.29%668310.851343250000260048.25%31558000.5902001021
10Frederic BrunetGriffins (DET)D54316198934573877114144.23%57139225.792137710112127000%01734000.2700233212
11Joseph CecconiGriffins (DET)D6841519110650891185337177.55%67163624.0612361220110131300%01139000.2300622103
12Hunter DrewGriffins (DET)D6131417-3165551311028440313.57%51151324.820227960000104100%01534000.2211605001
13Connor CarrickGriffins (DET)D55015152471553673811210%40104218.96011330011184000%21215000.2900102020
14Brett ChorskeRed WingsC/LW/RW318715555173232162225.00%72999.651455270001100150.33%153135111.0001001110
15Lucas CionaGriffins (DET)LW685712-195820122775611278.93%19112316.530442420000121135.29%851118100.2137112111
16Jeremy HanzelGriffins (DET)D65099616102963175100%1681012.46022355011042000%0715000.2200011000
17Jackson EdwardGriffins (DET)D6106612010386531860%1778912.95011125000048000%0712000.1500110000
18Alec MartinezRed WingsD90550005271610170%1424627.42011118000024000%0410000.4100000000
19Andy WelinskiGriffins (DET)D5904480021272210%661210.3800004011043000%006000.1300000000
20Brady StonehouseGriffins (DET)RW272132007541250.00%01234.570000300000000%001000.4900000100
21Alex CampbellGriffins (DET)C2910100084112100.00%11133.9000000000030054.17%2412000.1800000001
22Filip EngarasGriffins (DET)C480114209146050%32114.4000006000000060.00%1503000.0922000000
23Brandon BaddockGriffins (DET)LW4900041201750010%11202.4600000000020050.00%20100000000000
24Andrew PerrottGriffins (DET)D23000-3756126230%724910.8500005000011000%02600000010000
25Alex SuzdalevRed WingsLW11000100010000%0121.130000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne12671882924803995545512751498133145470614.12%4652034316.064467111150106991221321230302247.40%3019263352430.471454351836363433
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
1Brandon HalversonGriffins (DET)683517150.8792.454042241651362718420.58746680411
2Hunter MiskaGriffins (DET)70100.7456.77124001455240000059000
Statistiques d’équipe totales ou en moyenne753518150.8742.58416724179141774242466859411


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam BeckmanGriffins (DET)LW/RW242001-05-10CANNo193 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,241,000$299,170$0$0$No1,241,000$--------1,241,000$--------No--------Lien
Alex CampbellGriffins (DET)C252001-02-27QCYes176 Lbs5 ft10NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$241,071$0$0$No---------------------------Lien
Andrew AgozzinoGriffins (DET)LW351991-01-03CANNo181 Lbs5 ft10NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$482,143$0$0$No---------------------------Lien / Lien NHL
Andrew PerrottGriffins (DET)D242001-08-24USANo216 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm950,000$229,018$0$0$No950,000$--------950,000$--------No--------Lien
Andy WelinskiGriffins (DET)D331993-04-27USANo201 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$482,143$0$0$No---------------------------Lien / Lien NHL
Brady StonehouseGriffins (DET)RW212004-08-06CANNo182 Lbs5 ft9NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$241,071$0$0$No---------------------------Lien
Braeden BowmanGriffins (DET)RW222003-06-26ONYes210 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$482,143$0$0$No---------837,500$-----------------Lien
Brandon BaddockGriffins (DET)LW311995-03-29CANNo223 Lbs6 ft3NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$482,143$0$0$No---------------------------Lien / Lien NHL
Brandon HalversonGriffins (DET)G301996-03-29USANo235 Lbs6 ft5NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$241,071$0$0$No---------------------------Lien
Cam LundGriffins (DET)C212004-06-07USAYes195 Lbs6 ft2NoNoAssign ManuallyNoNo12026-01-09FalseFalsePro & Farm2,000,000$482,143$0$0$No---------------------------Lien
Connor CarrickGriffins (DET)D321994-04-13USANo192 Lbs5 ft11NoNoAssign ManuallyNoNo12026-01-06FalseFalsePro & Farm1,000,000$241,071$0$0$No---------------------------Lien / Lien NHL
Filip EngarasGriffins (DET)C261999-05-16SWENo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$180,804$0$0$No---------------------------Lien
Frederic BrunetGriffins (DET)D222003-08-21CANYes196 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,331,000$320,866$0$0$No1,331,000$1,331,000$-------1,331,000$1,331,000$-------NoNo-------Lien
Hunter DrewGriffins (DET)D271998-10-21CANNo213 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm899,000$216,723$0$0$No---------------------------Lien
Hunter MiskaGriffins (DET)G301995-07-07USANo174 Lbs6 ft1NoNoAssign ManuallyNoNo12025-11-17FalseFalsePro & Farm1,000,000$241,071$0$0$No---------------------------Lien
Jackson EdwardGriffins (DET)D222004-02-27CANYes199 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,278,000$308,089$0$0$No1,278,000$1,278,000$-------1,278,000$1,278,000$-------NoNo-------Lien
Jean-Luc FoudyGriffins (DET)C232002-05-13CANNo177 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,220,000$294,107$0$0$No1,220,000$--------1,220,000$--------No--------Lien
Jeremy HanzelGriffins (DET)D232003-02-27CANYes200 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,280,000$308,571$0$0$No1,280,000$1,280,000$-------1,280,000$1,280,000$-------NoNo-------Lien
Joseph CecconiGriffins (DET)D281997-05-23USANo216 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm994,000$239,625$0$0$No---------------------------Lien / Lien NHL
Lucas CionaGriffins (DET)LW232003-01-08CANNo210 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,283,000$309,295$0$0$No1,283,000$1,283,000$-------1,283,000$1,283,000$-------NoNo-------Lien
Nate DanielsonGriffins (DET)C212004-09-27ABYes190 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,286,000$310,018$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Lien
Nathan GaucherGriffins (DET)C222003-11-06CANNo222 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,107,000$266,866$0$0$No1,107,000$1,107,000$-------1,107,000$1,107,000$-------NoNo-------Lien
Nico MyatovicGriffins (DET)LW212004-12-01CANYes199 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,282,000$309,054$0$0$No1,282,000$1,282,000$-------1,282,000$1,282,000$-------NoNo-------Lien
Xavier BourgaultGriffins (DET)RW232002-10-22CANNo179 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,167,500$281,451$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.38199 Lbs6 ft11.711,294,521$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam BeckmanCam LundNico Myatovic40122
2Xavier BourgaultNathan GaucherAndrew Agozzino30122
3Nathan GaucherCam LundLucas Ciona20122
4Andrew AgozzinoNathan GaucherXavier Bourgault10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter DrewFrederic Brunet40122
2Joseph CecconiConnor Carrick30122
3Frederic BrunetJoseph Cecconi20122
4Joseph CecconiFrederic Brunet10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan GaucherAdam BeckmanXavier Bourgault60122
2Cam LundAndrew AgozzinoLucas Ciona40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Frederic BrunetJoseph Cecconi60122
2Hunter DrewAndy Welinski40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cam LundAndrew Agozzino60122
2Xavier BourgaultNathan Gaucher40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter DrewFrederic Brunet60122
2Jackson EdwardJoseph Cecconi40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Xavier Bourgault60122Connor CarrickJoseph Cecconi60122
2Nathan Gaucher40122Frederic BrunetHunter Drew40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nathan GaucherCam Lund60122
2Andrew AgozzinoXavier Bourgault40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Frederic BrunetConnor Carrick60122
2Hunter DrewJoseph Cecconi40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam BeckmanCam LundAndrew AgozzinoHunter DrewFrederic Brunet
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam BeckmanCam LundAndrew AgozzinoHunter DrewFrederic Brunet
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lucas Ciona, Xavier Bourgault, Nathan GaucherXavier Bourgault, Nathan GaucherXavier Bourgault
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Frederic Brunet, Joseph Cecconi, Hunter DrewJoseph CecconiJoseph Cecconi, Frederic Brunet
Tirs de pénalité
Andrew Agozzino, Nathan Gaucher, Lucas Ciona, Cam Lund, Xavier Bourgault
Gardien
#1 : Brandon Halverson, #2 : Hunter Miska


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
TotalDomicileVisiteur
# 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
1Admirals21000001651110000004221000000123-130.7506101600335990194730540857010020631532150.00%3233.33%0498103947.93%551113948.38%38276849.74%115941913177751694835
2Americans21100000862110000005231010000034-120.50081220003359901951305408570100562434326350.00%12375.00%0498103947.93%551113948.38%38276849.74%115941913177751694835
3Barracuda1000000123-11000000123-10000000000010.500246003359901918305408570100156920100.00%110.00%0498103947.93%551113948.38%38276849.74%115941913177751694835
4Bears522001001519-432000100137620200000212-1050.500152338003359901986305408570100115267077600.00%15473.33%2498103947.93%551113948.38%38276849.74%115941913177751694835
5Bruins21100000532110000005141010000002-220.50057120033599019303054085701003286342150.00%4175.00%0498103947.93%551113948.38%38276849.74%115941913177751694835
6Canucks20200000914-51010000067-11010000037-400.00091524003359901943305408570100391016497228.57%2150.00%1498103947.93%551113948.38%38276849.74%115941913177751694835
7Checkers11000000523110000005230000000000021.000581300335990192330540857010016810132150.00%5180.00%0498103947.93%551113948.38%38276849.74%115941913177751694835
8Comets32100000972220000008441010000013-240.66791524103359901951305408570100481233585360.00%9366.67%0498103947.93%551113948.38%38276849.74%115941913177751694835
9Condors21000001321110000003121000000101-130.75034700335990192230540857010041143338400.00%50100.00%1498103947.93%551113948.38%38276849.74%115941913177751694835
10Crunch10000010321000000000001000001032121.00034700335990191730540857010019916273266.67%3166.67%0498103947.93%551113948.38%38276849.74%115941913177751694835
11Eagles10001000211000000000001000100021121.0002350033599019113054085701001131113200.00%3166.67%0498103947.93%551113948.38%38276849.74%115941913177751694835
12Gulls20002000752100010004311000100032141.000761300335990195330540857010020112529400.00%5180.00%0498103947.93%551113948.38%38276849.74%115941913177751694835
13Heat211000004401010000002-21100000042220.5004711103359901929305408570100561645407114.29%9277.78%0498103947.93%551113948.38%38276849.74%115941913177751694835
14IceHogs21100000541110000003121010000023-120.500581300335990193730540857010024720473266.67%5180.00%0498103947.93%551113948.38%38276849.74%115941913177751694835
15Islanders21000001880110000004311000000145-130.75081422003359901959305408570100582222318112.50%6183.33%2498103947.93%551113948.38%38276849.74%115941913177751694835
16Marlies420001101376200001104402200000093670.8751318310133599019703054085701005223566910440.00%8275.00%0498103947.93%551113948.38%38276849.74%115941913177751694835
17Monsters30001110651100010002112000011044050.83366120033599019253054085701002471262100.00%60100.00%1498103947.93%551113948.38%38276849.74%115941913177751694835
18Moose10001000211000000000001000100021121.00023500335990191630540857010092420200.00%2150.00%0498103947.93%551113948.38%38276849.74%115941913177751694835
19Penguins21001000532110000001011000100043141.00058130133599019363054085701002591838100.00%9188.89%1498103947.93%551113948.38%38276849.74%115941913177751694835
20Phantoms31100001810-231100001810-20000000000030.50081220003359901961305408570100711756699444.44%8275.00%0498103947.93%551113948.38%38276849.74%115941913177751694835
21Reign54100000211562110000077033000000148680.800213455003359901913930540857010016245388615533.33%14564.29%1498103947.93%551113948.38%38276849.74%115941913177751694835
22Roadrunners3010001189-11010000034-12000001155030.500810180033599019643054085701009536726011218.18%17288.24%0498103947.93%551113948.38%38276849.74%115941913177751694835
23Rocket3100000267-1210000012201000000145-140.66761016013359901958305408570100301217544125.00%6183.33%0498103947.93%551113948.38%38276849.74%115941913177751694835
24Senators10000010651000000000001000001065121.0006915003359901934305408570100281063254125.00%9277.78%0498103947.93%551113948.38%38276849.74%115941913177751694835
25Silver Knights21000001330110000002111000000112-130.750358003359901927305408570100291150364375.00%5260.00%0498103947.93%551113948.38%38276849.74%115941913177751694835
26Stars20100001412-81010000029-71000000123-110.2504610003359901950305408570100521834374250.00%7271.43%0498103947.93%551113948.38%38276849.74%115941913177751694835
27Thunderbirds40400000415-1120200000310-72020000015-400.00047110033599019833054085701001455277671200.00%11281.82%0498103947.93%551113948.38%38276849.74%115941913177751694835
28Wild2010000159-41010000036-31000000123-110.2505813003359901933305408570100802625364250.00%50100.00%0498103947.93%551113948.38%38276849.74%115941913177751694835
29Wolf Pack22000000826110000003121100000051441.0008132100335990193430540857010024648374250.00%3233.33%0498103947.93%551113948.38%38276849.74%115941913177751694835
30Wolves1000010034-1000000000001000010034-110.5003360033599019243054085701002396184125.00%3166.67%0498103947.93%551113948.38%38276849.74%115941913177751694835
Total682418064511193192134179022131029393479042489199-8850.62519329248523335990191331305408570100141946595712751514429.14%2004876.00%9498103947.93%551113948.38%38276849.74%115941913177751694835
_Since Last GM Reset682418064511193192134179022131029393479042489199-8850.62519329248523335990191331305408570100141946595712751514429.14%2004876.00%9498103947.93%551113948.38%38276849.74%115941913177751694835
_Vs Conference39151203225113117-42097002115962-31965030145455-1470.6031131752881233599019825305408570100943307578705972424.74%1293175.97%6498103947.93%551113948.38%38276849.74%115941913177751694835
_Vs Division1410900223463214755002112111107540001225214291.0364668114023359901928330540857010023394202254311341.94%471176.60%0498103947.93%551113948.38%38276849.74%115941913177751694835

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6885OTL119329248513311419465957127523
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
68241864511193192
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
34179221310293
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
347942489199
Derniers 10 matchs
WLOTWOTL SOWSOL
510202
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1514429.14%2004876.00%9
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
30540857010033599019
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
498103947.93%551113948.38%38276849.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
115941913177751694835


Derniers matchs 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
213Griffins1Thunderbirds2LSommaire du match
326Griffins6Marlies3WSommaire du match
434Rocket0Griffins1WSommaire du match
555Roadrunners4Griffins3LSommaire du match
775Phantoms3Griffins2LXXSommaire du match
992Griffins4Islanders5LXXSommaire du match
10102Griffins7Reign5WSommaire du match
11118Bears5Griffins4LXSommaire du match
12137Reign3Griffins2LSommaire du match
13149Griffins3Marlies0WSommaire du match
14163Griffins2Bears7LSommaire du match
15178Griffins4Reign2WSommaire du match
16183Comets3Griffins5WSommaire du match
18210Marlies2Griffins3WXXSommaire du match
19227Phantoms2Griffins4WSommaire du match
20248Thunderbirds4Griffins2LSommaire du match
22264Griffins0Thunderbirds3LSommaire du match
24280IceHogs1Griffins3WSommaire du match
25297Griffins0Condors1LXXSommaire du match
27312Thunderbirds6Griffins1LSommaire du match
28325Griffins2IceHogs3LSommaire du match
29344Griffins1Silver Knights2LXXSommaire du match
30354Canucks7Griffins6LSommaire du match
31367Griffins0Bruins2LSommaire du match
32384Monsters1Griffins2WXSommaire du match
34407Penguins0Griffins1WSommaire du match
35428Griffins5Wolf Pack1WSommaire du match
36439Americans2Griffins5WSommaire du match
37452Griffins4Penguins3WXSommaire du match
38470Comets1Griffins3WSommaire du match
39481Griffins3Wolves4LXSommaire du match
41501Gulls3Griffins4WXSommaire du match
42515Griffins4Heat2WSommaire du match
43534Stars9Griffins2LSommaire du match
44546Griffins2Stars3LXXSommaire du match
45561Griffins6Senators5WXXSommaire du match
46573Wild6Griffins3LSommaire du match
47594Admirals2Griffins4WSommaire du match
48610Griffins0Bears5LSommaire du match
49627Bears1Griffins6WSommaire du match
50645Reign4Griffins5WSommaire du match
51655Griffins2Wild3LXXSommaire du match
52671Griffins3Americans4LSommaire du match
53684Griffins2Moose1WXSommaire du match
54695Wolf Pack1Griffins3WSommaire du match
56717Islanders3Griffins4WSommaire du match
57732Griffins1Comets3LSommaire du match
58743Griffins4Rocket5LXXSommaire du match
59758Barracuda3Griffins2LXXSommaire du match
61779Phantoms5Griffins2LSommaire du match
63800Griffins2Roadrunners3LXXSommaire du match
64810Bruins1Griffins5WSommaire du match
66833Griffins3Gulls2WXSommaire du match
67845Condors1Griffins3WSommaire du match
68862Griffins3Canucks7LSommaire du match
69870Griffins2Eagles1WXSommaire du match
70885Bears1Griffins3WSommaire du match
72903Checkers2Griffins5WSommaire du match
73918Griffins3Roadrunners2WXXSommaire du match
74933Griffins3Crunch2WXXSommaire du match
75943Silver Knights1Griffins2WSommaire du match
77964Griffins4Monsters3WXXSommaire du match
78974Heat2Griffins0LSommaire du match
80996Rocket2Griffins1LXXSommaire du match
811008Griffins3Reign1WSommaire du match
831027Marlies2Griffins1LXSommaire du match
841044Griffins2Admirals3LXXSommaire du match
851056Griffins0Monsters1LXSommaire du match
861068Rocket-Griffins-
881090Islanders-Griffins-
891104Griffins-Barracuda-
901117Roadrunners-Griffins-
911133Griffins-Islanders-
931150Senators-Griffins-
961181Roadrunners-Griffins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981202Griffins-Islanders-
991215Crunch-Griffins-
1001230Griffins-Thunderbirds-
1011241Eagles-Griffins-
1021249Griffins-Phantoms-
1041273Wolves-Griffins-
1051278Griffins-Phantoms-
1071302Griffins-Marlies-
1081304Griffins-Checkers-
1091313Moose-Griffins-
1101330Griffins-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance47,32826,336
Assistance PCT69.60%77.46%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
9 2167 - 72.22% 89,905$3,056,765$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,937,587$ 3,106,850$ 3,106,850$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
27,740$ 2,178,665$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
809,144$ 27 36,668$ 990,036$




Griffins Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Griffins Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Griffins Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Griffins Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Griffins Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA