Connexion

Griffins
GP: 80 | W: 41 | L: 31 | OTL: 8 | P: 90
GF: 332 | GA: 300 | PP%: 21.73% | PK%: 80.84%
DG: Eric Poulin | Morale : 39 | Moyenne d’équipe : 65
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Centre de jeu
Griffins
41-31-8, 90pts
4
FINAL
3 Heat
40-32-8, 88pts
Team Stats
W3StreakW1
20-16-4Home Record16-18-6
21-15-4Away Record24-14-2
5-4-1Last 10 Games7-3-0
4.15Buts par match 4.21
3.75Buts contre par match 4.39
21.73%Pourcentage en avantage numérique23.62%
80.84%Pourcentage en désavantage numérique77.43%
Griffins
41-31-8, 90pts
3
FINAL
1 Crunch
28-41-11, 67pts
Team Stats
W3StreakL1
20-16-4Home Record15-20-5
21-15-4Away Record13-21-6
5-4-1Last 10 Games2-4-4
4.15Buts par match 3.83
3.75Buts contre par match 4.83
21.73%Pourcentage en avantage numérique22.19%
80.84%Pourcentage en désavantage numérique73.31%
Meneurs d'équipe
Buts
Riley Armstrong
42
Passes
Riley Armstrong
61
Points
Riley Armstrong
103
Plus/Moins
Patrick Wiercioch
28
Victoires
Olivier Roy
27
Pourcentage d’arrêts
Olivier Roy
0.893

Statistiques d’équipe
Buts pour
332
4.15 GFG
Tirs pour
2622
32.78 Avg
Pourcentage en avantage numérique
21.7%
68 GF
Début de zone offensive
36.7%
Buts contre
300
3.75 GAA
Tirs contre
2519
31.49 Avg
Pourcentage en désavantage numérique
80.8%
59 GA
Début de la zone défensive
35.7%
Informations de l'équipe

Directeur généralEric Poulin
EntraîneurKirk Muller
DivisionThayer-Tutt
ConférenceRobert-Lebel
CapitaineRiley Armstrong
Assistant #1Phil Oreskovic
Assistant #2Dmitri Orlov


Informations de l’aréna

Capacité3,000
Assistance2,804
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure21
Limite contact 54 / 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
1Danny Kristo (R)X100.007135737671737275697370667554493460700261750,000$
2Jesse JoensuuX100.007434747075727775677667636874642130700291500,000$
3Adam Gaudette (R)X100.006640807557735880646877658247457050690201500,000$
4Brendan Woods (R)X100.006027807377836865727467766454513959690241900,000$
5Lucas Lessio (R)X100.005831777470727175606981646749474359690231600,000$
6Martin Frk (R)X100.006626787167767177737571555947494536680231700,000$
7Garrett Wilson (R)X100.006641707661656574687465666247472743670251500,000$
8Vladislav Namestnikov (R)X100.006830776675697072677270556853563859670241600,000$
9Sonny Milano (R)X100.005930737859725978656967557743436359660203700,000$
10Greg McKegg (R)X100.005936767362616272627168566546463329650242650,000$
11Mathew Barzal (R)X100.005538816861737567807968495346428259650191500,000$
12Troy Terry (R)X100.005632777152614972596161587041416639610191500,000$
13Dmitri Orlov (R) (A)X100.006724787766728482517563695859493647700251995,000$
14Marcus Pettersson (R)X100.006930828363697180438159695452436527700202975,000$
15Phil Oreskovic (A)X100.006738757072776574497461755874542160700291750,000$
16Patrick WierciochX100.007033767668687272517060725565513156690261900,000$
17Ryan Pulock (R)X100.006926846661737765457074706853475742680222800,000$
18Ian McCoshen (R)X100.006641767669666465587063706143445462670213700,000$
Rayé
1Riley Armstrong (C)X83.267538657070586282677467725979791528700321999,999$
2Tanner Kero (R)X100.006434687066697069576473486754543419640242500,000$
3Tomas Hyka (R)X100.005731716059595958747962515545463320610232450,000$
4Jordan Weal (R)X100.005239676752645965656858575946463319600241550,000$
5Michael Bunting (R)X100.006840606375517063545767495042425120590202500,000$
6Jack Ramsey (R)X100.004638765760736251606458524842424920570201500,000$
7Nikita Pavlychev (R)X100.003810573744455040374530314441413920380191500,000$
8Filip Hronek (R)X100.006641817267647065446460676042427357650192500,000$
9Konrad Abeltshauser (R)X100.006149717070735954386754674946463220640242500,000$
10Ryan Lindgren (R)X100.006233816556635545345544684340407926590182500,000$
11Ryan Mantha (R)X100.005328616162595145424455514342425520520201500,000$
MOYENNE D’ÉQUIPE99.42623474696467656758686361605148453964
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
1Olivier Roy100.00748471736973798070756656513357730251975,000$
2Marcus Hogberg100.00587557727463697771625345444027670223500,000$
Rayé
1Philippe Desrosiers100.00684663757158506161527243435320600214875,000$
2Adam Werner (R)100.00735358697749486465537540408120600192500,000$
MOYENNE D’ÉQUIPE100.0068656272736162716761674645523165
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller79747283346760CAN462850,000$


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
1Riley ArmstrongGriffins (Det)C724261103210951341182697315915.61%42137219.06141832342201017863651.71%18103226021.5011010731
2Adam GaudetteGriffins (Det)RW76385189-1280101772508413915.20%21134217.6611172835237000055139.24%795324011.3327000534
3Lucas LessioGriffins (Det)LW80404787173801171072567615015.63%29156019.511117284024801131493148.16%2454730021.1202000638
4Danny KristoGriffins (Det)RW78394483-26951501192668116014.66%39148919.101115263322900051252150.30%1654830001.1126001535
5Mathew BarzalGriffins (Det)C80164056218079116121388013.22%26132216.543710112080002392051.59%12272023000.8500000002
6Brendan WoodsGriffins (Det)LW802326491120087108130377717.69%33121815.2413434500062394144.10%1612917010.8000000474
7Sonny MilanoGriffins (Det)LW801829472024064421654813410.91%16107713.47336111550000383051.22%413623000.8725000113
8Dmitri OrlovGriffins (Det)D69123446732090104120445410.00%94146821.295813222030002112100.00%02942000.6300000103
9Marcus PetterssonGriffins (Det)D6583442-11808610712947566.20%81151023.2321012252320222119300.00%02843000.5600000042
10Martin FrkGriffins (Det)RW72182038102356742146408212.33%1495013.191348155000003049.55%1112218000.8000000330
11Vladislav NamestnikovGriffins (Det)C8017193621200928797396417.53%2595311.9200001700041101146.38%5111517000.7623000231
12Garrett WilsonGriffins (Det)RW6611172883007543107385410.28%2067710.2600005000083047.37%19168000.8301000220
13Phil OreskovicGriffins (Det)D8022426-57151161288839372.27%106184623.0813461671125238000.00%02759000.2800001100
14Ryan PulockGriffins (Det)D58421251516042695018218.00%5195916.542466820000112000.00%01339000.5211000002
15Patrick WierciochGriffins (Det)D804162028320671026026306.67%78143217.901121520000178200.00%0745000.2800000001
16Greg McKeggGriffins (Det)C5210818-7140373678164312.82%125159.91000030000611246.63%178109000.7000000101
17Ian McCoshenGriffins (Det)D80111121335553824524252.22%55108413.560112230000161000.00%01039000.2200100000
18Troy TerryGriffins (Det)RW68461001402936417239.76%135708.3910114000000040.91%2279000.3513000001
19Filip HronekGriffins (Det)D8109931203658461130.00%6297612.0500000000069000.00%0634000.1800000000
20Jesse JoensuuGriffins (Det)LW13448-380162137142010.81%825819.891012310000340154.65%86154000.6201000001
21Tanner KeroGriffins (Det)LW1413402097103710.00%11148.1500001000020066.67%321000.7000000001
22Ryan LindgrenGriffins (Det)D4701111004184340.00%82435.170000000007000.00%014000.0800000000
23Jordan WealGriffins (Det)C1000000000000.00%011.830000000001000.00%000000.0000000000
24Konrad AbeltshauserGriffins (Det)D1000000001000.00%055.950000000000000.00%001000.0000000000
25Tomas HykaGriffins (Det)RW1000000000000.00%000.450000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne147431252583713962325155116272516806142212.40%8342295215.57681101782402326246361902361450.13%4658473545060.731130112383240
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
1Olivier RoyGriffins (Det)59272450.8933.383317001871741909020.437165621113
2Marcus HogbergGriffins (Det)1810320.8793.829570061506255000.71471535000
3Adam WernerGriffins (Det)80310.8425.29295002616592110.6005330000
Statistiques d’équipe totales ou en moyenne85373080.8863.6045700027424121256130.536287486113


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 GaudetteGriffins (Det)RW201996-01-01Yes170 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Adam WernerGriffins (Det)G191997-01-01Yes205 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
Brendan WoodsGriffins (Det)LW241992-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Danny KristoGriffins (Det)RW261990-01-01Yes172 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$No
Dmitri OrlovGriffins (Det)D251991-01-01Yes210 Lbs6 ft0NoNoNo1Pro & Farm995,000$0$0$No
Filip HronekGriffins (Det)D191997-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Garrett WilsonGriffins (Det)RW251991-01-01Yes199 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Greg McKeggGriffins (Det)C241992-01-01Yes191 Lbs6 ft0NoNoNo2Pro & Farm650,000$0$0$No650,000$
Ian McCoshenGriffins (Det)D211995-01-01Yes185 Lbs6 ft3NoNoNo3Pro & Farm700,000$0$0$No800,000$900,000$
Jack RamseyGriffins (Det)RW201996-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Jesse JoensuuGriffins (Det)LW291987-01-01No209 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Jordan WealGriffins (Det)C241992-01-01Yes179 Lbs5 ft10NoNoNo1Pro & Farm550,000$0$0$No
Konrad AbeltshauserGriffins (Det)D241992-01-01Yes225 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
Lucas LessioGriffins (Det)LW231993-01-01Yes213 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Marcus HogbergGriffins (Det)G221994-01-01No185 Lbs6 ft4NoNoNo3Pro & Farm500,000$0$0$No600,000$600,000$
Marcus PetterssonGriffins (Det)D201996-01-01Yes177 Lbs6 ft3NoNoNo2Pro & Farm975,000$0$0$No975,000$
Martin FrkGriffins (Det)RW231993-01-01Yes193 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$No
Mathew BarzalGriffins (Det)C191997-01-01Yes187 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Michael BuntingGriffins (Det)LW201996-01-01Yes197 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Nikita PavlychevGriffins (Det)C191997-01-01Yes225 Lbs6 ft7NoNoNo1Pro & Farm500,000$0$0$No
Olivier RoyGriffins (Det)G251991-01-01No184 Lbs6 ft0NoNoNo1Pro & Farm975,000$0$0$No
Patrick WierciochGriffins (Det)D261990-01-01No192 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$No
Phil OreskovicGriffins (Det)D291987-01-01No217 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$No
Philippe DesrosiersGriffins (Det)G211995-01-01No185 Lbs6 ft1NoNoNo4Pro & Farm875,000$0$0$No875,000$875,000$875,000$
Riley Armstrong (sur la masse salariale)Griffins (Det)C321984-01-01No185 Lbs5 ft11NoNoNo1Pro & Farm999,999$0$0$Yes
Ryan LindgrenGriffins (Det)D181998-01-01Yes198 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Ryan ManthaGriffins (Det)D201996-01-01Yes229 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Ryan PulockGriffins (Det)D221994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No900,000$
Sonny MilanoGriffins (Det)LW201996-01-01Yes195 Lbs6 ft0NoNoNo3Pro & Farm700,000$0$0$No800,000$900,000$
Tanner KeroGriffins (Det)LW241992-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Tomas HykaGriffins (Det)RW231993-01-01Yes160 Lbs5 ft10NoNoNo2Pro & Farm450,000$0$0$No450,000$
Troy TerryGriffins (Det)RW191997-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Vladislav NamestnikovGriffins (Det)C241992-01-01Yes180 Lbs5 ft11NoNoNo1Pro & Farm600,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3322.70193 Lbs6 ft11.58647,576$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesse JoensuuMathew BarzalAdam Gaudette35122
2Lucas LessioVladislav NamestnikovDanny Kristo35122
3Sonny MilanoBrendan WoodsMartin Frk20122
4Garrett WilsonGreg McKeggTroy Terry10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri OrlovRyan Pulock40122
2Phil OreskovicMarcus Pettersson30122
3Ian McCoshenPatrick Wiercioch20122
4Ian McCoshenPatrick Wiercioch10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lucas LessioMathew BarzalDanny Kristo60122
2Jesse JoensuuMartin FrkAdam Gaudette40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri OrlovMarcus Pettersson60122
2Phil OreskovicSonny Milano40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jesse JoensuuBrendan Woods60122
2Vladislav NamestnikovDanny Kristo40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri OrlovRyan Pulock60122
2Phil OreskovicPatrick Wiercioch40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brendan Woods60122Dmitri OrlovRyan Pulock60122
2Jesse Joensuu40122Phil OreskovicPatrick Wiercioch40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Danny KristoJesse Joensuu60122
2Mathew BarzalLucas Lessio40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dmitri OrlovRyan Pulock60122
2Phil OreskovicMarcus Pettersson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lucas LessioMathew BarzalDanny KristoDmitri OrlovMarcus Pettersson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan WoodsJesse JoensuuDanny KristoPhil OreskovicPatrick Wiercioch
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jesse Joensuu, Troy Terry, Sonny MilanoTroy Terry, Vladislav NamestnikovVladislav Namestnikov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ian McCoshen, Marcus Pettersson, Ryan PulockIan McCoshenMarcus Pettersson, Ryan Pulock
Tirs de pénalité
Danny Kristo, Adam Gaudette, Jesse Joensuu, Brendan Woods, Lucas Lessio
Gardien
#1 : Olivier Roy, #2 : Marcus Hogberg


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
1Admirals31200000121201010000034-12110000098120.3331220320010013396109783296081938992322638112.50%12375.00%0869175749.46%847170949.56%677132251.21%172896416457491467737
2Barracuda632000012023-3311000011215-33210000088070.58320355500100133961018983296081938178627412930413.33%37878.38%1869175749.46%847170949.56%677132251.21%172896416457491467737
3Bears311000019902010000158-31100000041330.500914231010013396109983296081938983716547114.29%8187.50%0869175749.46%847170949.56%677132251.21%172896416457491467737
4Comets220000001385110000007341100000065141.00013243700100133961074832960819388022103212650.00%50100.00%0869175749.46%847170949.56%677132251.21%172896416457491467737
5Condors6510000033201333000000197123210000014131100.83333589100100133961020583296081938194616913423730.43%32584.38%2869175749.46%847170949.56%677132251.21%172896416457491467737
6Crunch22000000734110000004221100000031241.0007111800100133961054832960819384198368112.50%40100.00%0869175749.46%847170949.56%677132251.21%172896416457491467737
7Devils21100000990110000005411010000045-120.500914230010013396106483296081938552614477228.57%7357.14%0869175749.46%847170949.56%677132251.21%172896416457491467737
8Eagles21100000880110000004311010000045-120.500815230010013396106183296081938572818366350.00%9277.78%0869175749.46%847170949.56%677132251.21%172896416457491467737
9Heat3210000011110110000005232110000069-340.6671117280010013396101018329608193810020166812216.67%8187.50%0869175749.46%847170949.56%677132251.21%172896416457491467737
10Icehogs31100010141401100000054120100010910-140.667142135001001339610988329608193810141215510220.00%8187.50%0869175749.46%847170949.56%677132251.21%172896416457491467737
11Little Stars2010001079-21010000025-31000001054120.50071118001001339610668329608193875232239800.00%11554.55%0869175749.46%847170949.56%677132251.21%172896416457491467737
12Marlies32100000201461010000057-222000000157840.667202949101001339610105832960819388927185715533.33%8187.50%0869175749.46%847170949.56%677132251.21%172896416457491467737
13Monsters312000009901010000013-22110000086220.3339152400100133961092832960819389834185712216.67%9188.89%0869175749.46%847170949.56%677132251.21%172896416457491467737
14Moose62300100222113120000011110311001001110150.41722406200100133961018383296081938179625811921523.81%29486.21%0869175749.46%847170949.56%677132251.21%172896416457491467737
15Penguins20200000710-31010000057-21010000023-100.000713200010013396106283296081938692120467114.29%100100.00%0869175749.46%847170949.56%677132251.21%172896416457491467737
16Phantoms4400000022111133000000188101100000043181.0002239610010013396101388329608193812332228414214.29%11372.73%0869175749.46%847170949.56%677132251.21%172896416457491467737
17Punishers3010011068-22010010025-31000001043130.5006101600100133961010383296081938843622681100.00%11281.82%0869175749.46%847170949.56%677132251.21%172896416457491467737
18Rampage31200000141041010000045-121100000105520.333142135001001339610110832960819381183716531218.33%9188.89%0869175749.46%847170949.56%677132251.21%172896416457491467737
19Reign523000001921-232100000151322020000048-440.4001931500010013396101608329608193815142369621523.81%19573.68%0869175749.46%847170949.56%677132251.21%172896416457491467737
20Rocket623001002324-131200000911-2311001001413150.41723376010100133961018783296081938182657611825728.00%28678.57%0869175749.46%847170949.56%677132251.21%172896416457491467737
21Senators31100001810-2210000016511010000025-330.50081523001001339610878329608193889258601119.09%40100.00%0869175749.46%847170949.56%677132251.21%172896416457491467737
22Sound Tigers220000001349110000005321100000081741.0001323360010013396106683296081938562112446233.33%6183.33%0869175749.46%847170949.56%677132251.21%172896416457491467737
23Thunderbirds20100100911-21010000056-11000010045-110.2509152400100133961074832960819387021103310440.00%50100.00%0869175749.46%847170949.56%677132251.21%172896416457491467737
24Wolfpack21100000612-61010000029-71100000043120.500610160010013396107283296081938722618398112.50%9188.89%0869175749.46%847170949.56%677132251.21%172896416457491467737
25Wolves210000011192110000005231000000167-130.7501118290010013396107583296081938612918329333.33%9544.44%0869175749.46%847170949.56%677132251.21%172896416457491467737
Total803831004343323003240201600103164152124018150033116814820900.563332556888301001339610262283296081938251983064215993136821.73%3085980.84%3869175749.46%847170949.56%677132251.21%172896416457491467737
_Since Last GM Reset803831004343323003240201600103164152124018150033116814820900.563332556888301001339610262283296081938251983064215993136821.73%3085980.84%3869175749.46%847170949.56%677132251.21%172896416457491467737
_Vs Conference512620002122131902325149000021099019261211002101041004580.569213357570201001339610164283296081938158349443810402024321.29%2053881.46%3869175749.46%847170949.56%677132251.21%172896416457491467737
_Vs Division24129002019888101265000015144712640020047443270.5639817026810100133961076483296081938733250277500992323.23%1262381.75%3869175749.46%847170949.56%677132251.21%172896416457491467737

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8090W333255688826222519830642159930
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8038310434332300
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4020160103164152
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4018150331168148
Derniers 10 matchs
WLOTWOTL SOWSOL
440110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3136821.73%3085980.84%3
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
832960819381001339610
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
869175749.46%847170949.56%677132251.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
172896416457491467737


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
3 - 2021-12-0214Rocket3Griffins5BWSommaire du match
8 - 2021-12-0732Reign4Griffins7BWSommaire du match
10 - 2021-12-0945Griffins2Barracuda1AWSommaire du match
12 - 2021-12-1156Griffins8Condors7AWSommaire du match
14 - 2021-12-1365Phantoms2Griffins7BWSommaire du match
17 - 2021-12-1683Moose5Griffins3BLSommaire du match
21 - 2021-12-2099Griffins8Rocket2AWSommaire du match
24 - 2021-12-23113Condors2Griffins7BWSommaire du match
25 - 2021-12-24120Griffins2Moose4ALSommaire du match
28 - 2021-12-27136Barracuda7Griffins2BLSommaire du match
31 - 2021-12-30153Griffins3Rampage4ALSommaire du match
32 - 2021-12-31162Moose2Griffins5BWSommaire du match
35 - 2022-01-03177Griffins3Reign5ALSommaire du match
37 - 2022-01-05186Bears4Griffins2BLSommaire du match
39 - 2022-01-07202Griffins7Marlies3AWSommaire du match
41 - 2022-01-09215Wolfpack9Griffins2BLSommaire du match
43 - 2022-01-11226Griffins5Little Stars4AWXXSommaire du match
45 - 2022-01-13236Griffins8Sound Tigers1AWSommaire du match
46 - 2022-01-14246Marlies7Griffins5BLSommaire du match
49 - 2022-01-17261Griffins4Barracuda2AWSommaire du match
51 - 2022-01-19272Griffins2Senators5ALSommaire du match
53 - 2022-01-21276Penguins7Griffins5BLSommaire du match
55 - 2022-01-23288Griffins2Barracuda5ALSommaire du match
57 - 2022-01-25300Phantoms2Griffins5BWSommaire du match
59 - 2022-01-27309Griffins4Wolfpack3AWSommaire du match
62 - 2022-01-30328Rocket3Griffins1BLSommaire du match
67 - 2022-02-04352Heat2Griffins5BWSommaire du match
69 - 2022-02-06366Griffins4Eagles5ALSommaire du match
70 - 2022-02-07374Thunderbirds6Griffins5BLSommaire du match
75 - 2022-02-12398Crunch2Griffins4BWSommaire du match
79 - 2022-02-16418Griffins6Comets5AWSommaire du match
80 - 2022-02-17424Bears4Griffins3BLXXSommaire du match
84 - 2022-02-21438Griffins4Thunderbirds5ALXSommaire du match
86 - 2022-02-23450Comets3Griffins7BWSommaire du match
88 - 2022-02-25460Griffins7Rampage1AWSommaire du match
90 - 2022-02-27474Icehogs4Griffins5BWSommaire du match
93 - 2022-03-02490Griffins4Bears1AWSommaire du match
94 - 2022-03-03498Griffins7Monsters3AWSommaire du match
96 - 2022-03-05507Sound Tigers3Griffins5BWSommaire du match
99 - 2022-03-08518Griffins8Marlies4AWSommaire du match
101 - 2022-03-10527Griffins4Punishers3AWXXSommaire du match
103 - 2022-03-12536Phantoms4Griffins6BWSommaire du match
106 - 2022-03-15551Griffins1Monsters3ALSommaire du match
108 - 2022-03-17561Barracuda5Griffins4BLXXSommaire du match
111 - 2022-03-20579Griffins2Admirals5ALSommaire du match
113 - 2022-03-22587Rocket5Griffins3BLSommaire du match
116 - 2022-03-25602Griffins4Condors1AWSommaire du match
118 - 2022-03-27611Griffins4Devils5ALSommaire du match
120 - 2022-03-29617Senators3Griffins2BLXXSommaire du match
123 - 2022-04-01637Griffins1Reign3ALSommaire du match
125 - 2022-04-03644Moose4Griffins3BLSommaire du match
127 - 2022-04-05660Senators2Griffins4BWSommaire du match
131 - 2022-04-09685Little Stars5Griffins2BLSommaire du match
133 - 2022-04-11698Griffins2Penguins3ALSommaire du match
136 - 2022-04-14714Griffins6Wolves7ALXXSommaire du match
137 - 2022-04-15718Rampage5Griffins4BLSommaire du match
140 - 2022-04-18737Griffins4Rocket8ALSommaire du match
142 - 2022-04-20745Barracuda3Griffins6BWSommaire du match
146 - 2022-04-24765Monsters3Griffins1BLSommaire du match
148 - 2022-04-26780Griffins5Moose1AWSommaire du match
150 - 2022-04-28788Punishers3Griffins1BLSommaire du match
153 - 2022-05-01806Griffins4Moose5ALXSommaire du match
154 - 2022-05-02815Wolves2Griffins5BWSommaire du match
157 - 2022-05-05828Griffins4Phantoms3AWSommaire du match
158 - 2022-05-06839Griffins2Rocket3ALXSommaire du match
160 - 2022-05-08847Devils4Griffins5BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-05-11867Reign3Griffins5BWSommaire du match
164 - 2022-05-12868Griffins7Admirals3AWSommaire du match
167 - 2022-05-15886Griffins2Condors5ALSommaire du match
170 - 2022-05-18898Eagles3Griffins4BWSommaire du match
174 - 2022-05-22919Reign6Griffins3BLSommaire du match
175 - 2022-05-23922Griffins4Icehogs6ALSommaire du match
180 - 2022-05-28947Condors3Griffins5BWSommaire du match
184 - 2022-06-01968Punishers2Griffins1BLXSommaire du match
189 - 2022-06-06991Admirals4Griffins3BLSommaire du match
190 - 2022-06-07997Griffins5Icehogs4AWXXSommaire du match
191 - 2022-06-08999Griffins2Heat6ALSommaire du match
195 - 2022-06-121017Condors2Griffins7BWSommaire du match
196 - 2022-06-131022Griffins4Heat3AWSommaire du match
198 - 2022-06-151031Griffins3Crunch1AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,45037,693
Assistance PCT93.06%94.23%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2804 - 93.45% 83,243$3,329,703$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,973,574$ 2,137,000$ 1,547,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,185$ 2,098,019$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 14,935$ 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