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Griffins
GP: 17 | W: 8 | L: 9
GF: 75 | GA: 69 | PP%: 19.75% | PK%: 73.68%
DG: Eric Poulin | Morale : 73 | Moyenne d’équipe : 66
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Centre de jeu
Griffins
8-9-0, 16pts
3
FINAL
4 Wranglers
16-3-0, 32pts
Team Stats
L1SéquenceW5
4-5-0Fiche domicile7-2-0
4-4-0Fiche domicile9-1-0
4-5-1Derniers 10 matchs10-0-0
4.41Buts par match 4.63
4.06Buts contre par match 3.32
19.75%Pourcentage en avantage numérique26.58%
73.68%Pourcentage en désavantage numérique78.87%
Griffins
8-9-0, 16pts
4
FINAL
6 Wranglers
16-3-0, 32pts
Team Stats
L1SéquenceW5
4-5-0Fiche domicile7-2-0
4-4-0Fiche domicile9-1-0
4-5-1Derniers 10 matchs10-0-0
4.41Buts par match 4.63
4.06Buts contre par match 3.32
19.75%Pourcentage en avantage numérique26.58%
73.68%Pourcentage en désavantage numérique78.87%
Meneurs d'équipe
Buts
Lucas Lessio
14
Passes
Christoffer Ehn
13
Points
Lucas Lessio
25
Plus/Moins
Riley Armstrong
12
Victoires
Marcus Hogberg
5
Pourcentage d’arrêts
Marcus Hogberg
0.891

Statistiques d’équipe
Buts pour
75
4.41 GFG
Tirs pour
547
32.18 Avg
Pourcentage en avantage numérique
19.8%
16 GF
Début de zone offensive
35.9%
Buts contre
69
4.06 GAA
Tirs contre
570
33.53 Avg
Pourcentage en désavantage numérique
73.7%%
20 GA
Début de la zone défensive
38.1%
Informations de l'équipe

Directeur généralEric Poulin
EntraîneurKirk Muller
DivisionThayer-Tutt
ConférenceRobert-Lebel
CapitaineRiley Armstrong
Assistant #1Lucas Lessio
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,998
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure22
Limite contact 53 / 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
1Lucas Lessio (A)X100.006531787876787374657384677065563679730251975,000$
2Christoffer Ehn (R)X100.006337857276817269787672776959495275720221950,000$
3Martin FrkX100.006926807572797480727774596154553777710251900,000$
4Riley Armstrong (C)X100.007638687069586482677567726384881374710341950,000$
5Sonny Milano (R)X100.006830788168806882717472628053495277710221900,000$
6Nico Hischier (R)X100.006435827158747174818666476246427077670191500,000$
7Morgan Geekie (R)X100.006329817465717071767967465145426377660201500,000$
8Brendan Leipsic (R)X100.005333706968676469767473576648513765660242950,000$
9Cody Glass (R)X100.005728766553646867767867515542427377630191500,000$
10Morgan Barron (R)X100.007450686486468170446568534842425937630201500,000$
11Jack Studnicka (R)X100.006740755955585769595668526641416978600191500,000$
12Filip Hronek (R)X100.007441877979727771557167776858465978730214975,000$
13Andrey PedanX100.007958757475637763546859766164533777710251850,000$
14Ian McCoshen (R)X100.007042797974716469637363756555484576710231900,000$
15Ryan Pulock (R)X100.007326877062768068497377767164524778710241900,000$
16Robbie RussoX100.006318787469706973517661735750533578680251900,000$
17Sebastian Ahaut (R)X100.005635837259657180487555715249485576660221500,000$
18Nils Lundkvist (R)X100.005535727255496376377249664440408377620182500,000$
Rayé
1Robby Fabbri (R)X92.5476438577737974797380746471584956257302211,500,000$
2Michael Bunting (R)X100.007244646779547368576171545344444028630224600,000$
3Calvin Thurkauf (R)X100.007854696569528168596665575543455021630214750,000$
4Jack Ramsey (R)X100.005040806264776555647063565344443821610221500,000$
5Nick Swaney (R)X100.005037716366666063515471396446454321580211500,000$
6Oskar Steen (R)X100.006733586275486756526258565542424821570201500,000$
7Dominik Bokk (R)X100.005433695462596163605365365740406321550182500,000$
8Tyler Lewington (R)X100.006426837673746165386056745147462921670241650,000$
9Jesse Graham (R)X100.005443737969646872527163705350483521660242800,000$
10Conor Timmins (R)X100.006042706658625759375755644844444921600201500,000$
MOYENNE D’ÉQUIPE99.73653776706866697059706662605148495666
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
1Marcus Hogberg100.00647861767770758273685848463379710241600,000$
2Adam Werner100.00786165758160597071618045446578670214650,000$
Rayé
1Philippe Desrosiers100.00714969797563566565547645454226640232875,000$
MOYENNE D’ÉQUIPE100.0071636577786463727061714645476167
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller79747283346760CAN481850,000$


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)LW171411255280302778224117.95%939323.1733612670005501045.61%57195021.2700000201
2Martin FrkGriffins (Det)RW171211231100291868215017.65%735320.7635811680001211047.06%17167011.3000000210
3Christoffer EhnGriffins (Det)C1761319410034404752312.77%833119.512353561013360056.00%27547101.1500000101
4Riley ArmstrongGriffins (Det)C14513181280232640112812.50%1125418.212243390003370057.02%22895001.4100000112
5Nico HischierGriffins (Det)C1741014-71402422419309.76%732719.241341159000192046.67%37568000.8600000010
6Sonny MilanoGriffins (Det)LW1786141120251445182617.78%927716.31202447000031033.33%1274001.0100000012
7Morgan GeekieGriffins (Det)RW17491368015102031020.00%220412.0400004000000033.33%952001.2700000020
8Robby FabbriGriffins (Det)LW124812-3401711437259.30%321017.551345490002100056.25%16111001.1400000010
9Filip HronekGriffins (Det)D171111204030411913125.26%2645226.62044471000062000%0813000.5300000001
10Brendan LeipsicGriffins (Det)LW17741134012153531220.00%218210.7300001000171161.54%1373001.2100000201
11Ryan PulockGriffins (Det)D17110114202025131267.69%1633819.89022247000043000%097000.6500000000
12Cody GlassGriffins (Det)RW17426-140146191821.05%718610.96000040000141045.65%4621000.6400000100
13Andrey PedanGriffins (Det)D171561200232217395.88%1938522.69101235000251000%01012000.3100000000
14Ian McCoshenGriffins (Det)D1706610601817201110%1728416.7100003000027000%074000.4200000001
15Nils LundkvistGriffins (Det)D1714506071543425.00%1022713.3811214500001100%022000.4400000000
16Robbie RussoGriffins (Det)D17044310022017360%1523413.7800000011029000%024000.3400000000
17Morgan BarronGriffins (Det)LW121234207853920.00%31028.51000030000120071.43%730000.5900000000
18Jack StudnickaGriffins (Det)RW1712300081062216.67%11287.55000000000120036.36%1111000.4700000000
19Sebastian AhautGriffins (Det)D17011500380040%7895.290000100004000%010000.2200000000
20Michael BuntingGriffins (Det)LW5101-20042101210.00%0387.71000000000100100.00%210000.5200000000
Statistiques d’équipe totales ou en moyenne3157513220746152034535754714131813.71%179500215.8816264258609112184398151.40%106813086130.8300000979
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
1Marcus HogbergGriffins (Det)135430.8913.6677100474312132200134012
2Adam WernerGriffins (Det)53200.8544.742530020137670000413000
Statistiques d’équipe totales ou en moyenne188630.8823.93102400675682802201717012


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 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 Non Activé 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 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 WernerGriffins (Det)G211997-01-01No205 Lbs6 ft5NoNoN/ANoNo4FalseFalsePro & Farm650,000$0$0$No750,000$850,000$950,000$------NoNoNo------
Andrey PedanGriffins (Det)D251993-01-01No213 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No------------------
Brendan LeipsicGriffins (Det)LW241994-01-01Yes165 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------No--------
Calvin ThurkaufGriffins (Det)C211997-01-01Yes205 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Christoffer EhnGriffins (Det)C221996-01-01Yes181 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------
Cody GlassGriffins (Det)RW191999-01-01Yes206 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Conor TimminsGriffins (Det)D201998-01-01Yes202 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Dominik BokkGriffins (Det)LW182000-01-01Yes180 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Filip HronekGriffins (Det)D211997-01-01Yes185 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm975,000$0$0$No1,300,000$1,700,000$2,200,000$------NoNoNo------
Ian McCoshenGriffins (Det)D231995-01-01Yes185 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------
Jack RamseyGriffins (Det)RW221996-01-01Yes200 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Jack StudnickaGriffins (Det)RW191999-01-01Yes196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Jesse GrahamGriffins (Det)D241994-01-01Yes170 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------
Lucas LessioGriffins (Det)LW251993-01-01No213 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No------------------
Marcus HogbergGriffins (Det)G241994-01-01No185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No------------------
Martin FrkGriffins (Det)RW251993-01-01No193 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------
Michael BuntingGriffins (Det)LW221996-01-01Yes197 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm600,000$0$0$No600,000$600,000$600,000$------NoNoNo------
Morgan BarronGriffins (Det)LW201998-01-01Yes220 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Morgan GeekieGriffins (Det)RW201998-01-01Yes192 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Nick SwaneyGriffins (Det)RW211997-01-01Yes175 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Nico HischierGriffins (Det)C191999-01-01Yes175 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Nils LundkvistGriffins (Det)D182000-01-01Yes190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Oskar SteenGriffins (Det)C201998-01-01Yes194 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Philippe DesrosiersGriffins (Det)G231995-01-01No185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm875,000$0$0$No875,000$--------No--------
Riley ArmstrongGriffins (Det)C341984-01-01No185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------
Robbie RussoGriffins (Det)D251993-01-01No189 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------
Robby Fabbri (sur la masse salariale)Griffins (Det)LW221996-01-01Yes190 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$Yes------------------
Ryan PulockGriffins (Det)D241994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------
Sebastian AhautGriffins (Det)D221996-01-01Yes184 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Sonny MilanoGriffins (Det)LW221996-01-01Yes195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------
Tyler LewingtonGriffins (Det)D241994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3122.23191 Lbs6 ft11.55728,226$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas LessioRiley ArmstrongMartin Frk40122
2Sonny MilanoNico HischierMorgan Geekie30122
3Brendan LeipsicChristoffer EhnCody Glass20122
4Morgan BarronChristoffer EhnJack Studnicka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekIan McCoshen40122
2Andrey PedanRyan Pulock30122
3Robbie RussoNils Lundkvist20122
4Robbie RussoSebastian Ahaut10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas LessioNico HischierMartin Frk60122
2Christoffer EhnRiley ArmstrongSonny Milano40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekAndrey Pedan60122
2Nils LundkvistRyan Pulock40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christoffer EhnLucas Lessio60122
2Riley ArmstrongMartin Frk40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekAndrey Pedan60122
2Ian McCoshenRyan Pulock40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Christoffer Ehn60122Filip HronekAndrey Pedan60122
2Riley Armstrong40122Ian McCoshenRyan Pulock40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Riley ArmstrongLucas Lessio60122
2Christoffer EhnMartin Frk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip HronekAndrey Pedan60122
2Ian McCoshenRyan Pulock40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lucas LessioNico HischierMartin FrkFilip HronekRiley Armstrong
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lucas LessioChristoffer EhnRiley ArmstrongFilip HronekAndrey Pedan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Morgan Barron, Cody Glass, Jack StudnickaMorgan Barron, Cody GlassJack Studnicka
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Robbie Russo, Sebastian Ahaut, Nils LundkvistNils LundkvistRobbie Russo, Nils Lundkvist
Tirs de pénalité
Lucas Lessio, Robbie Russo, Christoffer Ehn, Sonny Milano, Martin Frk
Gardien
#1 : Marcus Hogberg, #2 : Adam Werner
Lignes d’attaque personnalisées en prolongation
Lucas Lessio, Jack Studnicka, Christoffer Ehn, Sonny Milano, Martin Frk, Nico Hischier, Nico Hischier, Brendan Leipsic, Morgan Geekie, Morgan Barron, Cody Glass
Lignes de défense personnalisées en prolongation
Filip Hronek, Andrey Pedan, Ian McCoshen, Ryan Pulock, Robbie Russo


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
1Condors6420000030228321000001376321000001715280.66730548400212331021316919418131906354123361027.78%27581.48%119938351.96%21440752.58%13627848.92%358195360162306158
2Moose74300000302644220000016142321000001412280.5713052821021233102111691941813220726813832412.50%341070.59%019938351.96%21440752.58%13627848.92%358195360162306158
3Wranglers404000001521-620200000811-320200000710-300.000152641102123310123169194181316044308513215.38%15566.67%019938351.96%21440752.58%13627848.92%358195360162306158
Total1789000007569694500000373258440000038371160.471751322072021233105471691941813570179152346811619.75%762073.68%119938351.96%21440752.58%13627848.92%358195360162306158
_Since Last GM Reset1789000007569694500000373258440000038371160.471751322072021233105471691941813570179152346811619.75%762073.68%119938351.96%21440752.58%13627848.92%358195360162306158
_Vs Conference1789000007569694500000373258440000038371160.471751322072021233105471691941813570179152346811619.75%762073.68%119938351.96%21440752.58%13627848.92%358195360162306158
_Vs Division13850000060481274300000292186420000031274160.615601061661021233104241691941813410135122261681420.59%611575.41%119938351.96%21440752.58%13627848.92%358195360162306158

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1716L17513220754757017915234620
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
178900007569
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
94500003732
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
84400003837
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
811619.75%762073.68%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
16919418132123310
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
19938351.96%21440752.58%13627848.92%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
358195360162306158


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
11Condors1Griffins6WSommaire du match
29Condors2Griffins4WSommaire du match
317Griffins6Condors2WSommaire du match
425Griffins3Condors6LSommaire du match
533Condors4Griffins3LXSommaire du match
641Griffins8Condors7WSommaire du match
857Moose3Griffins2LXSommaire du match
961Moose2Griffins5WSommaire du match
1065Griffins2Moose4LSommaire du match
1169Griffins5Moose3WSommaire du match
1273Moose8Griffins5LSommaire du match
1377Griffins7Moose5WSommaire du match
1481Moose1Griffins4WSommaire du match
1585Wranglers6Griffins5LSommaire du match
1687Wranglers5Griffins3LSommaire du match
1789Griffins3Wranglers4LXSommaire du match
1891Griffins4Wranglers6LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance17,9938,988
Assistance PCT99.96%99.87%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 2998 - 99.93% 188,887$1,699,982$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,257,500$ 1,975,000$ 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 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