Comets
GP: 5 | W: 1 | L: 4
GF: 13 | GA: 23 | PP%: 17.65% | PK%: 80.00%
DG: Mathieu Turcotte | Morale : 75 | Moyenne d’équipe : 63
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Centre de jeu
Firebirds
6-5-0, 12pts
4
FINAL
2 Comets
1-4-0, 2pts
Team Stats
L2StreakL3
3-3-0Home Record0-2-0
3-2-0Away Record1-2-0
5-4-1Last 10 Games1-4-0
3.82Buts par match 2.60
2.91Buts contre par match 4.60
27.03%Pourcentage en avantage numérique17.65%
81.25%Pourcentage en désavantage numérique80.00%
Comets
1-4-0, 2pts
2
FINAL
4 Firebirds
6-5-0, 12pts
Team Stats
L3StreakL2
0-2-0Home Record3-3-0
1-2-0Away Record3-2-0
1-4-0Last 10 Games5-4-1
2.60Buts par match 3.82
4.60Buts contre par match 2.91
17.65%Pourcentage en avantage numérique27.03%
80.00%Pourcentage en désavantage numérique81.25%
Meneurs d'équipe
Victoires
Mads Sogaard
1
Pourcentage d’arrêts
Mads Sogaard
0.882

Statistiques d’équipe
Buts pour
13
2.60 GFG
Tirs pour
168
33.60 Avg
Pourcentage en avantage numérique
17.6%
3 GF
Début de zone offensive
40.9%
Buts contre
23
4.60 GAA
Tirs contre
175
35.00 Avg
Pourcentage en désavantage numérique
80.0%
3 GA
Début de la zone défensive
38.7%
Information d’équipe

Directeur généralMathieu Turcotte
EntraîneurAndrew Brewer
DivisionNorth Division
ConférenceEastern Conference
CapitaineNicolas Beaudin
Assistant #1Nathan Bastian
Assistant #2Quinton Byfield


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro38
Équipe Mineure21
Limite contact 59 / 80
Espoirs77


Historique d'équipe

Saison actuelle1-4
Historique37-36-1 (0.500%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)1-4
Stanley Cup0


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
1Evgeny Svechnikov0X100.00694285678583846957666463736966075660252925,000$
2Ryan Poehling0X100.00783593678083866577636268676365075660222925,000$
3Quinton Byfield (R) (A)0X100.00816582688980837176676365665962075660193925,000$
4Ty Dellandrea0X100.00835273697589837072666362676164075660213925,000$
5Nathan Bastian (A)0X100.00967784628783846163676271636764075660242928,000$
6Ben Street0XX100.00583595637285816577676264658479075650341999,999$
7Matt Moulson0XXX100.00693575657884896357616455648884075650381999,999$
8Aliaksei Protas (R)0X100.00867295619472776372605662616264075640203925,000$
9Brendan Perlini0XX100.00593592688672736655636158646965075640251925,000$
10Joakim Nygard0X100.00583591687081846659656256647568075640282925,000$
11Justin Bailey0X100.00593987638975786461626563677166075640261800,000$
12Gemel Smith0X100.00647157687170726577676664667367075640273800,000$
13Michael Del Zotto0X100.008735936973878667307359715379720756803113,021,000$
14Nicolas Beaudin (C)0X100.00653594726986847130706366546366075660222925,000$
15Cameron Gaunce0X100.00705866637682746530696462557973075650311999,999$
16Juuso Riikola0X100.00863595687279736630685759517568075650281700,000$
17Mikko Lehtonen (R)0X100.00763689707485716930745558507368075650273925,000$
18Joakim Ryan0X100.00613592666975796430655967537568075640283800,000$
Rayé
1Scott Wilson0X100.00543586656871676358646259637769075630292800,000$
2Matthew Phillips0XX100.00503595625977726471636255636566075610231750,000$
3Isaac Ratcliffe0X100.00835275569277825558575462556362075610222925,000$
4Simon Holmstrom0X100.00653593607480795956576154586163075610202925,000$
5Dennis Yan0X100.00684679597782875755565859576764075610242750,000$
6Hudson Elynuik0X100.00795868548876815457565559556764075600241700,000$
7Sam Miletic0X100.00653592577478835654595557586764075600241800,000$
8Jonathan Ang0X100.00584283586781865761595655576563075590231700,000$
9Jordan Gross0X100.00563593646984806330675760507166075630262700,000$
10Oliwer Kaski0X100.00723790598186915830575963497166075630261800,000$
11Fredrik Claesson0X100.00715570627779766030636063507769075630292800,000$
12Mitchell Vande Sompel (R)0X100.00633986597286715730585256456764075590243925,000$
13Tyler Tucker (R)0X100.00695965587883785630575356476163075590213925,000$
14Brandon Crawley (R)0X100.00766062567866715330525058456764075580243925,000$
15Jeremy Groleau0X100.00734383528266715230545056456362075580222925,000$
16Luke Green0X100.00663888517560655130505453456563075570231750,000$
MOYENNE D’ÉQUIPE100.0070458463777979625062596157696707563
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
1Alex Lyon100.0076848278757476757476757783075670291800,000$
2Mads Sogaard (R)100.0075817995747375747375746165075660213925,000$
Rayé
1Ville Husso100.0075868984747375747375747175075660261800,000$
2Adam Werner100.0074838290737274737274736771075650242925,000$
MOYENNE D’ÉQUIPE100.007584838774737574737574697407566
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Brewer60657471514891CAN352900,000$


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
1Brendan PerliniComets (VAN)LW/RW5235000251101118.18%16112.3200000000000028.57%700001.6200000010
2Justin BaileyComets (VAN)RW51340002665916.67%26012.1400000000001025.00%400001.3200000000
3Nicolas BeaudinComets (VAN)D3134-2003582912.50%47625.5602229000012000.00%000001.0400000000
4Ty DellandreaComets (VAN)C522404013101311015.38%36412.9300000000030036.14%8300001.2400000100
5Ryan PoehlingComets (VAN)C5033-3201112164120.00%410821.750112140000130048.37%15300000.5500000000
6Quinton ByfieldComets (VAN)C5033-660819257170.00%210320.79011616000060052.99%13400000.5800000000
7Michael Del ZottoComets (VAN)D3112-2204834633.33%157525.0901119000011000.00%000000.5300000000
8Joakim RyanComets (VAN)D51120202562216.67%75711.560000000000000.00%000000.6900000000
9Ben StreetComets (VAN)C/LW5202-70016275157.41%211222.58101316000180047.37%1900000.3500000001
10Matt MoulsonComets (VAN)C/LW/RW31120202261516.67%07023.55101190000130050.00%600000.5700000000
11Evgeny SvechnikovComets (VAN)RW5101-400911223204.55%010120.33101514000000066.67%1200000.2000000000
12Cameron GaunceComets (VAN)D5101-60016934433.33%69719.440002900009000.00%000000.2100000000
13Juuso RiikolaComets (VAN)D3011-4601125130.00%36321.000003800018000.00%000000.3200000000
14Mikko LehtonenComets (VAN)D3011-160323000.00%14113.890000000003000.00%000000.4800000000
15Aliaksei ProtasComets (VAN)C2000100943060.00%32914.8000000000000030.77%1300000.0000000000
16Joakim NygardComets (VAN)LW3000-100010000.00%072.490000000000000.00%000000.0000000000
17Gemel SmithComets (VAN)C2000000100000.00%052.5900000000000057.14%700000.0000000000
18Nathan BastianComets (VAN)RW3000-400558150.00%15317.9200028000000042.86%700000.0000000000
Statistiques d’équipe totales ou en moyenne70132235-39300102112165401347.88%54119217.04358271190002911046.97%44500000.5900000111
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
1Mads SogaardComets (VAN)31100.8824.181580011930000.000023000
2Alex LyonComets (VAN)30300.8545.111410012820000.000032000
Statistiques d’équipe totales ou en moyenne61400.8694.6030000231750000.000055000


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 restantSalaire moyenSalaire moyen 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 WernerComets (VAN)G245/2/1997No205 Lbs6 ft5NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Alex LyonComets (VAN)G2912/9/1992No201 Lbs6 ft1NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Aliaksei ProtasComets (VAN)C201/6/2001Yes210 Lbs6 ft6NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Ben StreetComets (VAN)C/LW342/13/1987No190 Lbs6 ft0NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Brandon CrawleyComets (VAN)D242/2/1997Yes204 Lbs6 ft1NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Lien
Brendan PerliniComets (VAN)LW/RW254/27/1996No211 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Cameron GaunceComets (VAN)D313/19/1990No194 Lbs6 ft1NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Dennis YanComets (VAN)LW244/14/1997No197 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Evgeny SvechnikovComets (VAN)RW2510/31/1996No208 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Fredrik ClaessonComets (VAN)D2911/24/1992No196 Lbs6 ft1NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Gemel SmithComets (VAN)C274/16/1994No203 Lbs5 ft10NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Hudson ElynuikComets (VAN)C2410/12/1997No194 Lbs6 ft5NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Isaac RatcliffeComets (VAN)LW222/15/1999No200 Lbs6 ft6NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Jeremy GroleauComets (VAN)D2210/25/1999No193 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Joakim NygardComets (VAN)LW281/8/1993No179 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Joakim RyanComets (VAN)D286/17/1993No185 Lbs5 ft11NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Jonathan AngComets (VAN)C231/31/1998No172 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Jordan GrossComets (VAN)D265/9/1995No190 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Justin BaileyComets (VAN)RW267/1/1995No214 Lbs6 ft4NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Juuso RiikolaComets (VAN)D2811/9/1993No189 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Luke GreenComets (VAN)D231/12/1998No188 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Mads SogaardComets (VAN)G2112/13/2000Yes196 Lbs6 ft7NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Matt MoulsonComets (VAN)C/LW/RW3811/1/1983No203 Lbs6 ft1NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Matthew PhillipsComets (VAN)C/RW234/6/1998No140 Lbs5 ft7NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Michael Del Zotto (contrat à 1 volet)Comets (VAN)D316/24/1990No195 Lbs6 ft0NoNoYes1Pro & Farm3,021,000$3,021,000$3,021,000$0$NoLien / Lien NHL
Mikko LehtonenComets (VAN)D271/16/1994Yes196 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Mitchell Vande SompelComets (VAN)D242/11/1997Yes198 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Lien
Nathan BastianComets (VAN)RW2412/6/1997No205 Lbs6 ft4NoNoNo2Pro & Farm928,000$928,000$0$0$No1,141,000$Lien / Lien NHL
Nicolas BeaudinComets (VAN)D2210/7/1999No168 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Oliwer KaskiComets (VAN)D269/4/1995No190 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Quinton ByfieldComets (VAN)C198/19/2002Yes215 Lbs6 ft4NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Ryan PoehlingComets (VAN)C221/3/1999No197 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Sam MileticComets (VAN)LW245/4/1997No197 Lbs6 ft0NoNoNo1Pro & Farm800,000$700,000$0$0$NoLien / Lien NHL
Scott WilsonComets (VAN)LW294/24/1992No177 Lbs5 ft11NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Simon HolmstromComets (VAN)RW205/24/2001No183 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Ty DellandreaComets (VAN)C217/21/2000No190 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Tyler TuckerComets (VAN)D213/1/2000Yes203 Lbs6 ft1NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Ville HussoComets (VAN)G262/6/1995No205 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3825.26194 Lbs6 ft11.87919,053$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt MoulsonRyan PoehlingEvgeny Svechnikov40122
2Ben StreetQuinton ByfieldNathan Bastian30122
3Brendan PerliniTy DellandreaJustin Bailey20122
4Joakim NygardBen StreetEvgeny Svechnikov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Del ZottoNicolas Beaudin40122
2Cameron GaunceJuuso Riikola30122
3Mikko LehtonenJoakim Ryan20122
4Michael Del ZottoNicolas Beaudin10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matt MoulsonRyan PoehlingEvgeny Svechnikov60122
2Ben StreetQuinton ByfieldNathan Bastian40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Del ZottoNicolas Beaudin60122
2Cameron GaunceJuuso Riikola40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan PoehlingMatt Moulson60122
2Quinton ByfieldBen Street40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Del ZottoNicolas Beaudin60122
2Cameron GaunceJuuso Riikola40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Poehling60122Michael Del ZottoNicolas Beaudin60122
2Quinton Byfield40122Cameron GaunceJuuso Riikola40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan PoehlingMatt Moulson60122
2Quinton ByfieldBen Street40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael Del ZottoNicolas Beaudin60122
2Cameron GaunceJuuso Riikola40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt MoulsonRyan PoehlingEvgeny SvechnikovMichael Del ZottoNicolas Beaudin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt MoulsonRyan PoehlingEvgeny SvechnikovMichael Del ZottoNicolas Beaudin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ty Dellandrea, Matt Moulson, Ben StreetTy Dellandrea, Matt MoulsonTy Dellandrea
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Juuso Riikola, Mikko Lehtonen, Joakim RyanJuuso RiikolaJuuso Riikola, Mikko Lehtonen
Tirs de pénalité
Evgeny Svechnikov, Nathan Bastian, Ryan Poehling, Quinton Byfield, Ty Dellandrea
Gardien
#1 : Alex Lyon, #2 : Mads Sogaard
Lignes d’attaque personnalisées en prolongation
Evgeny Svechnikov, Nathan Bastian, Ryan Poehling, Quinton Byfield, Ty Dellandrea, Matt Moulson, Matt Moulson, Ben Street, Brendan Perlini, Justin Bailey, Joakim Nygard
Lignes de défense personnalisées en prolongation
Michael Del Zotto, Nicolas Beaudin, Cameron Gaunce, Juuso Riikola, Mikko Lehtonen


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
1Firebirds514000001323-102020000049-531200000914-520.2001324370066101685367480175603011417317.65%15380.00%08918448.37%7917445.40%429245.65%11883117356331
Total514000001323-102020000049-531200000914-520.2001324370066101685367480175603011417317.65%15380.00%08918448.37%7917445.40%429245.65%11883117356331
_Since Last GM Reset514000001323-102020000049-531200000914-520.2001324370066101685367480175603011417317.65%15380.00%08918448.37%7917445.40%429245.65%11883117356331
_Vs Conference514000001323-102020000049-531200000914-520.2001324370066101685367480175603011417317.65%15380.00%08918448.37%7917445.40%429245.65%11883117356331

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L3132437168175603011400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001323
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000049
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000914
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
17317.65%15380.00%0
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
53674806610
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
8918448.37%7917445.40%429245.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11883117356331


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 - 2022-04-121Comets1Firebirds5ALSommaire du match
3 - 2022-04-149Comets6Firebirds5AWSommaire du match
5 - 2022-04-1617Firebirds5Comets2BLSommaire du match
7 - 2022-04-1825Firebirds4Comets2BLSommaire du match
9 - 2022-04-2033Comets2Firebirds4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance4,0002,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 3000 - 100.00% 81,250$162,500$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,190,300$ 2,807,800$ 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$




Comets 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
1Quinton Byfield825459113228327133049210.98%61183422.3768148500054457.21%41.2300
2Ty Dellandrea82424284345824523636111.63%27116714.2494135000032253.67%31.4400
3Ben Street824240821145819339610.61%49157819.242462700007252.50%21.0400
4Nicolas Beaudin4795463121880921009.00%99117024.91358410002100.00%01.0800
5Justin Bailey82224163364201182618.43%24104912.80000000052050.00%11.2000

Comets 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
1Alex Lyon47191440.9014.0323394015715830310.0000
2Mads Sogaard53182250.9063.5326046115316210210.0000

Comets 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
Saison régulière
238236360190032531213412217002001691482141141901700156164-883325576901211351018813246107010701090163206100570920122344017.09%2707472.59%01614317550.83%1529321647.54%742143751.64%1944139020045741001489
Total Saison régulière8236360190032531213412217002001691482141141901700156164-883325576901211351018813246107010701090163206100570920122344017.09%2707472.59%01614317550.83%1529321647.54%742143751.64%1944139020045741001489
23514000001323-102020000049-531200000914-521324370066101685367480175603011417317.65%15380.00%08918448.37%7917445.40%429245.65%11883117356331
Total Séries éliminatoires514000001323-102020000049-531200000914-521324370066101685367480175603011417317.65%15380.00%08918448.37%7917445.40%429245.65%11883117356331

Comets 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
1Brendan Perlini523500251118.18%16112.32000000000028.57%01.6200
2Ty Dellandrea52240413101315.38%36412.93000000000036.14%01.2400
3Nicolas Beaudin3134-2035812.50%47625.5602220000000.00%01.0400
4Justin Bailey51340026616.67%26012.14000000001025.00%01.3200
5Quinton Byfield5033-66819250.00%210320.79011600000052.99%00.5800

Comets 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
1Mads Sogaard31100.8824.181580011930000.0000
2Alex Lyon30300.8545.111410012820000.0000