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Griffins
GP: 23 | W: 16 | L: 7
GF: 95 | GA: 73 | PP%: 28.41% | PK%: 84.29%
DG: Eric Poulin | Morale : 95 | Moyenne d’équipe : 65
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Centre de jeu
Thunderbirds
13-6-0, 26pts
2
FINAL
4 Griffins
16-7-0, 32pts
Team Stats
L3StreakW3
8-3-0Home Record8-2-0
5-3-0Away Record8-5-0
5-4-1Last 10 Games8-2-0
3.89Buts par match 4.13
3.32Buts contre par match 3.17
25.00%Pourcentage en avantage numérique28.41%
86.15%Pourcentage en désavantage numérique84.29%
Griffins
16-7-0, 32pts
4
FINAL
1 Thunderbirds
13-6-0, 26pts
Team Stats
W3StreakL3
8-2-0Home Record8-3-0
8-5-0Away Record5-3-0
8-2-0Last 10 Games5-4-1
4.13Buts par match 3.89
3.17Buts contre par match 3.32
28.41%Pourcentage en avantage numérique25.00%
84.29%Pourcentage en désavantage numérique86.15%
Meneurs d'équipe
Buts
Tyler Bertuzzi
11
Passes
Lucas Lessio
19
Points
Lucas Lessio
28
Plus/Moins
Troy Terry
8
Victoires
Ilya Samsonov
14
Pourcentage d’arrêts
Ilya Samsonov
0.904

Statistiques d’équipe
Buts pour
95
4.13 GFG
Tirs pour
734
31.91 Avg
Pourcentage en avantage numérique
28.4%
25 GF
Début de zone offensive
37.6%
Buts contre
73
3.17 GAA
Tirs contre
748
32.52 Avg
Pourcentage en désavantage numérique
84.3%%
11 GA
Début de la zone défensive
36.6%
Informations de l'équipe

Directeur généralEric Poulin
EntraîneurKirk Muller
DivisionThayer-Tutt
ConférenceRobert-Lebel
CapitaineRiley Armstrong
Assistant #1Joe Morrow
Assistant #2Danny Kristo


Informations de l’aréna

Capacité3,000
Assistance2,994
Billets de saison300


Informations de la formation

Équipe Pro35
Équipe Mineure21
Limite contact 56 / 250
Espoirs0


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
1Tyler Bertuzzi (R)X100.007935777381668777687676736759495170730221950,000$
2Danny Kristo (A)X100.007135747571757476707572677661523181710271950,000$
3Lucas Lessio (R)X100.006231797774767375637183656957503964710241950,000$
4Riley Armstrong (C)X100.007738677269586484697369706181831462710331975,000$
5Brendan WoodsX100.006327787579856966737670746759543576700251900,000$
6Roope Hintz (R)X100.007846757673697469677675677352456258700213975,000$
7Martin Frk (R)X100.006626797369777179747672576151514154690242900,000$
8Sonny Milano (R)X100.006330767963756380687269597848445766680212800,000$
9Vladislav NamestnikovX100.006830777076717273687371556956573554680251800,000$
10Nico Hischier (R)X100.005835806652696671798464425840407845640182500,000$
11Troy Terry (R)X100.006132797557655475626364627242436076640204600,000$
12Klim Kostin (R)X100.005823745270616753536485406740408532600182500,000$
13Joe Morrow (A)X100.007125767871707676498065745872573775720252950,000$
14Dmitri OrlovX100.006924797868748684537765706065503376710261950,000$
15Chris Bigras (R)X100.006825867368777267537351786058464949700221900,000$
16Ian McCoshen (R)X100.006942777772696566607165726348464968690222800,000$
17Ryan Pulock (R)X100.007026856860737966497276727057505264690231900,000$
18Sebastian Ahaut (R)X100.005335826956626979447352674947466027640212500,000$
Rayé
1Greg McKeggX100.006136777562636471616870586648493026650251650,000$
2Tanner KeroX100.006534697266697171586573486855553147650251500,000$
3Tomas Hyka (R)X100.005833726360606062778163535746472925620241450,000$
4Lias Andersson (R)X100.005637806267756460576959635742437332610192500,000$
5Michael Bunting (R)X100.007042616478537165565970525243434525610211500,000$
6Morgan Barron (R)X100.007249656084448066436366514641416725600192500,000$
7Cody Glass (R)X100.005328715748606562717663445040408225590182500,000$
8Jack Ramsey (R)X100.004839796062766453626761535143434324590212500,000$
9Jack Studnicka (R)X100.006537735554565466585466506540407825580182500,000$
10Nick Swaney (R)X100.004836706065635961495268366245444825560202500,000$
11Konrad AbeltshauserX100.006349727070745956386855694947472925650251500,000$
12Ryan Lindgren (R)X89.226534836857655648355646724441417055610191500,000$
13Conor Timmins (R)X100.005940676355605557365652614643435525580192500,000$
MOYENNE D’ÉQUIPE99.65643475696667686859706660615148504865
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
1Ilya Samsonov100.00836674899069627279658654446657740204950,000$
2Adam Werner (R)100.00755661717854536667567742427353630201500,000$
Rayé
1Marcus Hogberg100.00617559757667727971655647453732690232600,000$
2Philippe Desrosiers100.00704766777360536364537444444725620223875,000$
MOYENNE D’ÉQUIPE100.0072616578796360707060734744564267
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller79747283346760CAN472850,000$


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
1Lucas LessioGriffins (Det)LW22919284215233451253417.65%940018.20651114671014571163.64%11117101.4000000313
2Tyler BertuzziGriffins (Det)RW23111728-2100382463236117.46%1544519.36358972011000142.50%40159101.2600000401
3Riley ArmstrongGriffins (Det)C19917261240464085254510.59%638820.46191014581012190053.68%55786101.3400000023
4Joe MorrowGriffins (Det)D23516215140343437172013.51%4060326.224371377000062100.00%01617000.7000000011
5Roope HintzGriffins (Det)LW2351419-118056245317309.43%842518.502465570111301140.74%2786000.8900000111
6Sonny MilanoGriffins (Det)LW239918180283287266110.34%944919.56000051011112048.48%33287000.8000000122
7Danny KristoGriffins (Det)RW238917-2160413964203612.50%742118.3143712580002243052.17%2373000.8100000200
8Dmitri OrlovGriffins (Det)D232151776020283522155.71%2754623.7613427800001000.00%01322100.6200000111
9Martin FrkGriffins (Det)RW239514020342263183014.29%529212.7000000000052040.00%1095000.9600000113
10Nico HischierGriffins (Det)C187512-12026223672019.44%428816.051344140000120353.95%21504000.8300000011
11Brendan WoodsGriffins (Det)LW236612212032352871921.43%1038916.941122571122601051.82%30347000.6200000000
12Troy TerryGriffins (Det)RW2365118201382661023.08%51817.8910112000002028.57%750101.2100000000
13Vladislav NamestnikovGriffins (Det)C23551042037223392115.15%526811.6600000000003050.82%12272000.7500000020
14Chris BigrasGriffins (Det)D23099620163224870.00%2447720.75011353022147000.00%059000.3800000000
15Ryan PulockGriffins (Det)D23189620142817995.88%2245819.94123353022047000.00%0513000.3900000000
16Ian McCoshenGriffins (Det)D23156-520223515566.67%2240717.7100000000065000.00%0114000.2900000000
17Klim KostinGriffins (Det)LW91125001331133.33%0768.530000000008000.00%120000.5200000000
18Ryan LindgrenGriffins (Det)D19022-36061510440.00%1927214.360000000008000.00%0013000.1500000000
19Lias AnderssonGriffins (Det)C51011202631033.33%0408.1300000000040053.33%1500000.4900000000
20Sebastian AhautGriffins (Det)D4011000131000.00%44912.390000000001000.00%001000.4000000000
21Greg McKeggGriffins (Det)C1000000000000.00%000.470000000000000.00%000000.00%00000000
22Tanner KeroGriffins (Det)LW18000020230110.00%0392.1800001000000066.67%300000.00%00000000
Statistiques d’équipe totales ou en moyenne4149516826336153549248973425143012.94%241692316.722539648265947111347116652.16%1367144145500.7600000131216
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
1Ilya SamsonovGriffins (Det)2014600.9043.0812260063653336400.00%0200201
2Adam WernerGriffins (Det)32100.8953.3318000109554100.00%0314001
Statistiques d’équipe totales ou en moyenne2316700.9023.12140600737483905002314202


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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam WernerGriffins (Det)G201997-01-01Yes205 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$NoLien
Brendan WoodsGriffins (Det)LW251992-01-01No190 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien
Chris BigrasGriffins (Det)D221995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Cody GlassGriffins (Det)C181999-01-01Yes206 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Conor TimminsGriffins (Det)D191998-01-01Yes202 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Danny KristoGriffins (Det)RW271990-01-01No172 Lbs5 ft11NoNoNo1Pro & Farm950,000$0$0$No
Dmitri OrlovGriffins (Det)D261991-01-01No210 Lbs6 ft0NoNoNo1Pro & Farm950,000$0$0$No
Greg McKeggGriffins (Det)C251992-01-01No191 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
Ian McCoshenGriffins (Det)D221995-01-01Yes185 Lbs6 ft3NoNoNo2Pro & Farm800,000$0$0$No900,000$Lien
Ilya SamsonovGriffins (Det)G201997-01-01No208 Lbs6 ft3NoNoNo4Pro & Farm950,000$0$0$No1,700,000$2,500,000$3,500,000$Lien
Jack RamseyGriffins (Det)RW211996-01-01Yes200 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jack StudnickaGriffins (Det)RW181999-01-01Yes196 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Joe MorrowGriffins (Det)D251992-01-01No199 Lbs6 ft0NoNoNo2Pro & Farm950,000$0$0$No950,000$
Klim KostinGriffins (Det)LW181999-01-01Yes215 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Konrad AbeltshauserGriffins (Det)D251992-01-01No225 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Lias AnderssonGriffins (Det)C191998-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Lucas LessioGriffins (Det)LW241993-01-01Yes213 Lbs6 ft1NoNoNo1Pro & Farm950,000$0$0$No
Marcus HogbergGriffins (Det)G231994-01-01No185 Lbs6 ft4NoNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Martin FrkGriffins (Det)RW241993-01-01Yes193 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Michael BuntingGriffins (Det)LW211996-01-01Yes197 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Morgan BarronGriffins (Det)LW191998-01-01Yes220 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nick SwaneyGriffins (Det)RW201997-01-01Yes175 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nico HischierGriffins (Det)C181999-01-01Yes175 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Philippe DesrosiersGriffins (Det)G221995-01-01No185 Lbs6 ft1NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$Lien
Riley ArmstrongGriffins (Det)C331984-01-01No185 Lbs5 ft11NoNoNo1Pro & Farm975,000$0$0$No
Roope HintzGriffins (Det)LW211996-01-01Yes220 Lbs6 ft3NoNoNo3Pro & Farm975,000$0$0$No1,500,000$2,250,000$Lien
Ryan Lindgren (sur la masse salariale)Griffins (Det)D191998-01-01Yes198 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$YesLien
Ryan PulockGriffins (Det)D231994-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLien
Sebastian AhautGriffins (Det)D211996-01-01Yes184 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Sonny MilanoGriffins (Det)LW211996-01-01Yes195 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No900,000$Lien
Tanner KeroGriffins (Det)LW251992-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Tomas HykaGriffins (Det)RW241993-01-01Yes160 Lbs5 ft10NoNoNo1Pro & Farm450,000$0$0$NoLien
Troy TerryGriffins (Det)RW201997-01-01Yes180 Lbs6 ft0NoNoNo4Pro & Farm600,000$0$0$No700,000$800,000$900,000$Lien
Tyler BertuzziGriffins (Det)RW221995-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm950,000$0$0$NoLien
Vladislav NamestnikovGriffins (Det)C251992-01-01No180 Lbs5 ft11NoNoNo1Pro & Farm800,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3522.14194 Lbs6 ft11.71695,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sonny MilanoRiley ArmstrongTyler Bertuzzi40122
2Roope HintzNico HischierDanny Kristo30122
3Lucas LessioBrendan WoodsMartin Frk20122
4Klim KostinVladislav NamestnikovTroy Terry10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowDmitri Orlov40122
2Chris BigrasRyan Pulock30122
3Sebastian AhautIan McCoshen20122
4Chris BigrasIan McCoshen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas LessioRiley ArmstrongTyler Bertuzzi60122
2Roope HintzBrendan WoodsDanny Kristo40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowDmitri Orlov60122
2Chris BigrasRyan Pulock40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brendan WoodsLucas Lessio60122
2Riley ArmstrongDanny Kristo40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowIan McCoshen60122
2Chris BigrasRyan Pulock40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brendan Woods60122Joe MorrowIan McCoshen60122
2Riley Armstrong40122Chris BigrasRyan Pulock40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Riley ArmstrongLucas Lessio60122
2Danny KristoTyler Bertuzzi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joe MorrowDmitri Orlov60122
2Chris BigrasRyan Pulock40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lucas LessioRiley ArmstrongTyler BertuzziJoe MorrowDmitri Orlov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley ArmstrongBrendan WoodsDanny KristoJoe MorrowDmitri Orlov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Troy Terry, Lucas Lessio, Nico HischierNico Hischier, Troy TerryRoope Hintz
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmitri Orlov, Ian McCoshen, Sebastian AhautIan McCoshenIan McCoshen, Sebastian Ahaut
Tirs de pénalité
Tyler Bertuzzi, Sonny Milano, Nico Hischier, Danny Kristo, Roope Hintz
Gardien
#1 : Ilya Samsonov, #2 : Adam Werner


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
1Heat54100000191542110000088033000000117480.8001933520020373621741832732699178503211217529.41%16287.50%226451451.36%25550150.90%19435255.11%498275492220417212
2Icehogs6420000027198330000001881031200000911-280.6672745720020373621981832732699189725713126830.77%22290.91%126451451.36%25550150.90%19435255.11%498275492220417212
3Reign74300000322843210000017143422000001514180.5713258900020373621991832732699216673613929931.03%18383.33%126451451.36%25550150.90%19435255.11%498275492220417212
4Thunderbirds54100000171162200000074332100000107380.8001732490020373621631832732699165522811016318.75%14471.43%026451451.36%25550150.90%19435255.11%498275492220417212
Total231670000095732210820000050341613850000045396320.696951682630020373627341832732699748241153492882528.41%701184.29%426451451.36%25550150.90%19435255.11%498275492220417212
_Since Last GM Reset231670000095732210820000050341613850000045396320.696951682630020373627341832732699748241153492882528.41%701184.29%426451451.36%25550150.90%19435255.11%498275492220417212
_Vs Conference18126000007862168620000043301310640000035323240.667781362140020373625711832732699583189125382722230.56%56787.50%426451451.36%25550150.90%19435255.11%498275492220417212

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2332W39516826373474824115349200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2316700009573
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
108200005034
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
138500004539
Derniers 10 matchs
WLOTWOTL SOWSOL
721000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
882528.41%701184.29%4
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
18327326992037362
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
26451451.36%25550150.90%19435255.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
498275492220417212


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
1 - 2022-10-273Griffins3Heat2AWSommaire du match
2 - 2022-10-2811Griffins5Heat3AWSommaire du match
3 - 2022-10-2919Heat3Griffins6BWSommaire du match
4 - 2022-10-3027Heat5Griffins2BLSommaire du match
5 - 2022-10-3135Griffins3Heat2AWXSommaire du match
8 - 2022-11-0358Griffins3Reign4ALSommaire du match
9 - 2022-11-0462Griffins1Reign3ALSommaire du match
10 - 2022-11-0566Reign3Griffins6BWSommaire du match
11 - 2022-11-0670Reign4Griffins5BWSommaire du match
12 - 2022-11-0774Griffins5Reign3AWSommaire du match
13 - 2022-11-0878Reign7Griffins6BLSommaire du match
14 - 2022-11-0982Griffins6Reign4AWSommaire du match
15 - 2022-11-1085Griffins3Icehogs4ALSommaire du match
16 - 2022-11-1187Griffins4Icehogs2AWSommaire du match
17 - 2022-11-1289Icehogs2Griffins6BWSommaire du match
18 - 2022-11-1391Icehogs4Griffins6BWSommaire du match
19 - 2022-11-1493Griffins2Icehogs5ALSommaire du match
20 - 2022-11-1595Icehogs2Griffins6BWSommaire du match
22 - 2022-11-1799Griffins4Thunderbirds3AWXSommaire du match
23 - 2022-11-18100Griffins2Thunderbirds3ALSommaire du match
24 - 2022-11-19101Thunderbirds2Griffins3BWSommaire du match
25 - 2022-11-20102Thunderbirds2Griffins4BWSommaire du match
26 - 2022-11-21103Griffins4Thunderbirds1AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance19,93610,000
Assistance PCT99.68%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2994 - 99.79% 89,015$890,148$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,432,500$ 2,200,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Griffins Leaders statistiques (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 (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