Connexion

Comets
GP: 11 | W: 7 | L: 4
GF: 55 | GA: 43 | PP%: 35.90% | PK%: 75.68%
DG: marc-andré savard | Morale : 93 | Moyenne d’équipe : 68
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Centre de jeu
Comets
7-4-0, 14pts
2
FINAL
4 IceHogs
8-6-0, 16pts
Team Stats
L3SéquenceW3
3-3-0Fiche domicile4-3-0
4-1-0Fiche domicile4-3-0
6-4-0Derniers 10 matchs6-4-0
5.00Buts par match 3.71
3.91Buts contre par match 3.64
35.90%Pourcentage en avantage numérique15.38%
75.68%Pourcentage en désavantage numérique78.72%
IceHogs
8-6-0, 16pts
5
FINAL
2 Comets
7-4-0, 14pts
Team Stats
W3SéquenceL3
4-3-0Fiche domicile3-3-0
4-3-0Fiche domicile4-1-0
6-4-0Derniers 10 matchs6-4-0
3.71Buts par match 5.00
3.64Buts contre par match 3.91
15.38%Pourcentage en avantage numérique35.90%
78.72%Pourcentage en désavantage numérique75.68%
Meneurs d'équipe
Derek RyanButs
Derek Ryan
10
Brandon DavidsonPasses
Brandon Davidson
12
Derek RyanPoints
Derek Ryan
20
Matt BartkowskiPlus/Moins
Matt Bartkowski
7
David RittichVictoires
David Rittich
7
Connor IngramPourcentage d’arrêts
Connor Ingram
1

Statistiques d’équipe
Buts pour
55
5.00 GFG
Tirs pour
342
31.09 Avg
Pourcentage en avantage numérique
35.9%
14 GF
Début de zone offensive
35.5%
Buts contre
43
3.91 GAA
Tirs contre
393
35.73 Avg
Pourcentage en désavantage numérique
75.7%%
9 GA
Début de la zone défensive
42.1%
Informations de l'équipe

Directeur généralmarc-andré savard
EntraîneurBrad Shaw
DivisionDivision Nord-Ouest
ConférenceConference Ouest
Capitaine
Assistant #1
Assistant #2Frederik Gauthier


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 80
Espoirs16


Historique d'équipe

Saison actuelle7-4
Historique178-118-29 (0.548%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)23-15
Coupe Stanley0


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
1Derek RyanX99.00563394677078897095737280737779085710371850,000$
2Tyler Angle (R)X99.00583689747788897669707170746265079700233875,000$
3Chase De LeoXX100.00583986746887827087707071727166077690281900,000$
4Josh ArchibaldX100.00943886677178886369696975747769076690312650,000$
5Chris TerryXX99.00594681658088937378727165758072086690352725,000$
6Trevor LewisXX99.00793991687875886378696871738475086690374900,000$
7Frederik Gauthier (A)X100.007378846197778465837065727167690866802921,400,000$
8Michael RafflXX100.00763987627584896271696674747876086680352800,000$
9Dennis Yan (R)X100.00684679597782876965656769676764086660273650,000$
10Michael JolyX100.00593689687774796067606864737166086640282650,000$
11Logan NelsonX100.00504574697262766865606369507251061630301550,000$
12Cliff Pu (R)X100.00693986587871766783546567686563086630253550,000$
13Kevin CzucmanX100.00593891669273727030746674587173078690332700,000$
14Matt BartkowskiX100.00583595678878746830656674597476078690352650,000$
15Brendan SmithX100.00817568628086836330666072717874085690351850,000$
16Brandon DavidsonX99.00823593608271686930707074607867086690323850,000$
17Markus Niemelainen (R)X100.00854588639079776930615873606466085690253825,000$
18Jordan SchmaltzX100.00714682608076816030656073567571062670302725,000$
Rayé
1Santeri Virtanen (R)X100.00553493606270806565606061505050048600243525,000$
2Griffin ReinhartX100.00604585828073856030626270505151019670301900,000$
3Dylan LabbeX100.00454570758570856230686369505151020660293700,000$
4Filip Westerlund (R)X100.00553592557072805230605567505050020610253525,000$
MOYENNE D’ÉQUIPE99.7766438666797782665766657164696607167
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
1David Rittich97.00787565756968827770628172840797203145,700,000$
2Connor Ingram100.0075777880747375647365746673086710272875,000$
Rayé
1Jack Lafontaine (R)100.0070717081696978706870796471024700261825,000$
2Dustin Tokarski100.0066727164717062717072718086024690342800,000$
3Jakub Skarek (R)100.0069747583585769686769686369024670243725,000$
MOYENNE D’ÉQUIPE99.407274727768677370706875697704770
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brad Shaw70696765888258CAN601800,000$


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
1Derek RyanComets (VAN)C1110102012034145112122.22%625623.3240411310000353054.41%39700011.5600000210
2Chase De LeoComets (VAN)C/LW11510150750203362615.15%118817.15347728000021045.00%2000001.5900010010
3Brandon DavidsonComets (VAN)D1121214-20015141881211.11%1826724.311341033000031010%000001.0500000100
4Kevin CzucmanComets (VAN)D11491366017141641625.00%1423221.16145925000029000%000001.1200000100
5Chris TerryComets (VAN)LW/RW11671310010203621816.67%324222.040337310000221051.28%3900001.0700000002
6Trevor LewisComets (VAN)C/RW116713112032213233218.75%323721.600114310000180029.41%1700001.0900000021
7Josh ArchibaldComets (VAN)RW1164100403682421825.00%218516.90235628000000033.33%900001.0800000111
8Markus NiemelainenComets (VAN)D111910-280284125128.33%1726424.02134634000030100%000000.7600000110
9Matt BartkowskiComets (VAN)D110887802117164100%922120.14022824000126000%000000.7200000010
10Brendan SmithComets (VAN)D112682200291152140.00%1616414.940110100001000%000000.9700000000
11Tyler AngleComets (VAN)C113580004292763311.11%522920.851123280002401044.94%24700000.7000000001
12Frederik GauthierComets (VAN)C11145540828206125.00%112111.0901100000000155.63%14200000.8200000100
13Michael JolyComets (VAN)RW1123550033133815.38%012111.0100000000000020.00%500000.8300000001
14Logan NelsonComets (VAN)C113141204672842.86%2635.8200000000000041.67%8400001.2500000000
15Michael RafflComets (VAN)LW/RW11134520810225164.55%712311.2000000000000028.57%700000.6500000010
16Dennis YanComets (VAN)LW1122414079611133.33%2766.91000000000110050.00%1400001.0500000001
17Jordan SchmaltzComets (VAN)D1111232071243525.00%816815.3410111000011000%000000.2400000000
18Cliff PuComets (VAN)RW11022120236360%1635.8200000000000050.00%600000.6300000000
Statistiques d’équipe totales ou en moyenne19855103158358352342703427626516.08%115322916.311426407230200032617249.75%98700010.9800010787
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
1David RittichComets (VAN)117400.8884.10614204237401100110000
2Connor IngramComets (VAN)10001.0000430001800000011000
Statistiques d’équipe totales ou en moyenne127400.8933.83658204239201101111000


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 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
Brandon DavidsonComets (VAN)D321991-08-21 10:27:39No202 Lbs6 ft1NoNoN/ANoNo3Pro & Farm850,000$30,357$0$0$No850,000$850,000$-------NoNo-------Lien / Lien NHL
Brendan SmithComets (VAN)D351989-02-08 03:26:58No205 Lbs6 ft1NoNoN/ANoNo1Pro & Farm850,000$30,357$0$0$No------------------Lien / Lien NHL
Chase De LeoComets (VAN)C/LW281995-10-25 01:52:23No185 Lbs5 ft9NoNoN/ANoNo1Pro & Farm900,000$32,143$0$0$No------------------Lien / Lien NHL
Chris TerryComets (VAN)LW/RW351989-04-07 10:47:37No195 Lbs5 ft10NoNoN/ANoNo2Pro & Farm725,000$25,893$0$0$No725,000$--------No--------Lien / Lien NHL
Cliff PuComets (VAN)RW251998-06-03 09:34:42Yes185 Lbs6 ft2NoNoN/ANoNo3Pro & Farm550,000$19,643$0$0$No550,000$550,000$-------NoNo-------Lien
Connor IngramComets (VAN)G271997-03-31 13:03:46No196 Lbs6 ft2NoNoN/ANoNo2Pro & Farm875,000$31,250$0$0$No875,000$--------No--------Lien / Lien NHL
David RittichComets (VAN)G311992-08-19 19:08:50No203 Lbs6 ft3NoNoN/ANoNo4Pro & Farm5,700,000$203,571$0$0$No5,700,000$5,700,000$5,700,000$------NoNoNo------Lien / Lien NHL
Dennis YanComets (VAN)LW271997-04-14 09:36:51Yes197 Lbs6 ft2NoNoN/ANoNo3Pro & Farm650,000$23,214$0$0$No650,000$650,000$-------NoNo-------Lien
Derek RyanComets (VAN)C371986-12-28 05:38:37No170 Lbs5 ft11NoNoN/ANoNo1Pro & Farm850,000$30,357$0$0$No------------------Lien / Lien NHL
Dustin TokarskiComets (VAN)G341989-09-16 18:07:48No206 Lbs5 ft11NoNoN/ANoNo2Pro & Farm800,000$28,571$0$0$No800,000$--------No--------Lien / Lien NHL
Dylan LabbeComets (VAN)D291995-01-09 02:11:12No205 Lbs6 ft2NoNoN/ANoNo3Pro & Farm700,000$25,000$0$0$No700,000$700,000$-------NoNo-------Lien
Filip WesterlundComets (VAN)D251999-04-17 02:33:40Yes180 Lbs5 ft11NoNoN/ANoNo3Pro & Farm525,000$18,750$0$0$No525,000$525,000$-------NoNo-------Lien
Frederik GauthierComets (VAN)C291995-04-26 03:49:33No236 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,400,000$50,000$0$0$No1,400,000$--------No--------Lien / Lien NHL
Griffin ReinhartComets (VAN)D301994-01-24 01:46:16No216 Lbs6 ft4NoNoN/ANoNo1Pro & Farm900,000$32,143$0$0$No------------------Lien / Lien NHL
Jack LafontaineComets (VAN)G261998-01-06 02:41:07Yes204 Lbs6 ft2NoNoN/ANoNo1Pro & Farm825,000$29,464$0$0$No------------------Lien / Lien NHL
Jakub SkarekComets (VAN)G241999-11-10 02:35:20Yes205 Lbs6 ft3NoNoN/ANoNo3Pro & Farm725,000$25,893$0$0$No725,000$725,000$-------NoNo-------Lien / Lien NHL
Jordan SchmaltzComets (VAN)D301993-10-08 01:26:35No190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm725,000$25,893$0$0$No725,000$--------No--------Lien
Josh ArchibaldComets (VAN)RW311992-10-06 12:30:17No181 Lbs5 ft10NoNoN/ANoNo2Pro & Farm650,000$23,214$0$0$No650,000$--------No--------Lien / Lien NHL
Kevin CzucmanComets (VAN)D331991-01-09 18:38:05No205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm700,000$25,000$0$0$No700,000$--------No--------Lien / Lien NHL
Logan NelsonComets (VAN)C301993-09-09 11:07:50No180 Lbs6 ft1NoNoN/ANoNo1Pro & Farm550,000$19,643$0$0$No------------------Lien
Markus NiemelainenComets (VAN)D251998-06-08 12:11:54Yes190 Lbs6 ft6NoNoN/ANoNo3Pro & Farm825,000$29,464$0$0$No825,000$825,000$-------NoNo-------Lien / Lien NHL
Matt BartkowskiComets (VAN)D351988-06-04 12:42:08No202 Lbs6 ft1NoNoN/ANoNo2Pro & Farm650,000$23,214$0$0$No650,000$--------No--------Lien / Lien NHL
Michael JolyComets (VAN)RW281995-05-05 09:56:58No172 Lbs5 ft11NoNoN/ANoNo2Pro & Farm650,000$23,214$0$0$No650,000$--------No--------Lien
Michael RafflComets (VAN)LW/RW351988-12-01 13:43:42No202 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$28,571$0$0$No800,000$--------No--------Lien / Lien NHL
Santeri VirtanenComets (VAN)C241999-05-11 02:37:26Yes202 Lbs6 ft2NoNoN/ANoNo3Pro & Farm525,000$18,750$0$0$No525,000$525,000$-------NoNo-------Lien
Trevor LewisComets (VAN)C/RW371987-01-08 18:07:48No199 Lbs6 ft0NoNoN/ANoNo4Pro & Farm900,000$32,143$0$0$No900,000$900,000$900,000$------NoNoNo------Lien / Lien NHL
Tyler AngleComets (VAN)C232000-09-30 02:39:43Yes171 Lbs5 ft10NoNoN/ANoNo3Pro & Farm875,000$31,250$0$0$No875,000$875,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2729.81196 Lbs6 ft12.26950,926$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris TerryDerek RyanTrevor Lewis40122
2Chase De LeoTyler AngleJosh Archibald30122
3Michael RafflFrederik GauthierMichael Joly20122
4Dennis YanLogan NelsonCliff Pu10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus NiemelainenBrandon Davidson40122
2Matt BartkowskiKevin Czucman30122
3Brendan SmithJordan Schmaltz20122
4Markus NiemelainenBrandon Davidson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chris TerryDerek RyanTrevor Lewis60122
2Chase De LeoTyler AngleJosh Archibald40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus NiemelainenBrandon Davidson60122
2Matt BartkowskiKevin Czucman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Derek RyanTyler Angle60122
2Chris TerryTrevor Lewis40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus NiemelainenBrandon Davidson60122
2Matt BartkowskiKevin Czucman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Derek Ryan60122Markus NiemelainenBrandon Davidson60122
2Tyler Angle40122Matt BartkowskiKevin Czucman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Derek RyanTyler Angle60122
2Chris TerryTrevor Lewis40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Markus NiemelainenBrandon Davidson60122
2Matt BartkowskiKevin Czucman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris TerryDerek RyanTrevor LewisMarkus NiemelainenBrandon Davidson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris TerryDerek RyanTrevor LewisMarkus NiemelainenBrandon Davidson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Raffl, Frederik Gauthier, Dennis YanMichael Raffl, Frederik GauthierDennis Yan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brendan Smith, Jordan Schmaltz, Matt BartkowskiBrendan SmithJordan Schmaltz, Matt Bartkowski
Tirs de pénalité
Derek Ryan, Tyler Angle, Chris Terry, Trevor Lewis, Josh Archibald
Gardien
#1 : David Rittich, #2 : Connor Ingram


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
1Eagles44000000301911220000001486220000001611581.000305686002219140135120119103014744347616637.50%16662.50%017035048.57%20941650.24%11222150.68%2521712638214370
2IceHogs7340000025241413000001215-332100000139460.4292547721022191402071201191030246715115823834.78%21385.71%017035048.57%20941650.24%11222150.68%2521712638214370
Total11740000055431263300000262335410000029209140.63655103158102219140342120119103039311585234391435.90%37975.68%017035048.57%20941650.24%11222150.68%2521712638214370
_Since Last GM Reset11740000055431263300000262335410000029209140.63655103158102219140342120119103039311585234391435.90%37975.68%017035048.57%20941650.24%11222150.68%2521712638214370
_Vs Conference11740000055431263300000262335410000029209140.63655103158102219140342120119103039311585234391435.90%37975.68%017035048.57%20941650.24%11222150.68%2521712638214370
_Vs Division1140000005543126200000026233520000002920980.36455103158102219140342120119103039311585234391435.90%37975.68%017035048.57%20941650.24%11222150.68%2521712638214370

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1114L3551031583423931158523410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
117400005543
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300002623
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
54100002920
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
391435.90%37975.68%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
12011910302219140
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
17035048.57%20941650.24%11222150.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2521712638214370


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
11Eagles3Comets6BWSommaire du match
39Eagles5Comets8BWSommaire du match
517Comets8Eagles5AWSommaire du match
725Comets8Eagles6AWSommaire du match
1557IceHogs3Comets2BLSommaire du match
1761IceHogs2Comets4BWSommaire du match
1965Comets7IceHogs2AWSommaire du match
2169Comets4IceHogs3AWSommaire du match
2373IceHogs5Comets4BLSommaire du match
2577Comets2IceHogs4ALSommaire du match
2781IceHogs5Comets2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance12,0006,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 3000 - 100.00% 102,000$612,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,567,500$ 2,532,500$ 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$ 1 0$ 0$




Comets 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
1Chase De Leo315105138243125214660888811.82%67508716.15193150134000725551.06%10.9649
2Griffin Reinhart27034140174-221113253223808.95%337560320.751639551960115510%00.6200
3Gustav Olofsson24627129156-311242652873088.77%330537421.851430441520225330%00.5800
4Justin Bailey2346092152253013825557110.51%37351315.01212146000057547.96%10.8715
5Mathias Brome 2317668144-34010831660212.62%27340414.74139228600047745.98%20.8516

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
1Jack Lafontaine1397052120.8983.36781623543842840650.78919
2David Rittich105632880.9013.09600610730931100320.80015
3Edward Pasquale46231520.8933.41235620134125800200
4Connor Ingram3420750.9103.011916009610690200.7508
5Jean-Francois Berube57171830.8773.9024942016213150420.58817

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
2082343108621306308-2412312021211631461741111906500143162-199530654485020113998412257183686284640256971262817232926522.26%2686775.00%21486285052.14%1422271952.30%746140753.02%2008138418775991074542
2182303702625289317-2841181501412146145141122201213143172-29792895238124097989012265383889689559271484363117672715219.19%2706675.56%11443278051.91%1458281751.76%763142153.69%1915131319786131069527
228238300841128226220412112061011571292841171802310125133-8992825228043597829410260983887986041271276160518002526425.40%2544781.50%01491279153.42%1499288651.94%685131352.17%1947132819396171071537
238248200382132026456412690222016712245412211016011531421111532056988911120111847278491791992042266577761917772726724.63%2574980.93%41473286951.34%1530296551.60%745141552.65%1944133519506211067530
Total Saison régulière3281501180212478119711514616488480118546335429116462700101624564609-45388119721583355106427390352411061734293556352118210660309324837067108724822.82%104922978.17%758931129052.20%59091138751.89%2939555652.90%781653627745245242832138
Séries éliminatoires
201156000003843-5633000002225-3523000001618-2103868106101313120344981489803169610323932515.63%451077.78%117937647.61%16631652.53%11020952.63%2681812477714474
2216115000006659785300000322938620000034304226612318900261817554418216515542581188130406521732.69%601870.00%028958549.40%31061150.74%14730648.04%407280409125224111
23117400000554312633000002623354100000292091455103158102219140342120119103039311585234391435.90%37975.68%017035048.57%20941650.24%11222150.68%2521712638214370
Total Séries éliminatoires382315000001591451420119000008077318126000007968114615929445320615043512304004323564212903993188791233629.27%1423773.94%1638131148.67%685134351.01%36973650.14%927634921285512256

Comets 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
1Chase De Leo38112031221226311010.00%562416.43310131600051043.40%00.9900
2Brendan Smith276182413683363218.75%4659322.00268100000000%00.8100
3Justin Bailey2712921-7824358314.46%451719.17235500012062.22%10.8100
4Derek Ryan11101020123414522.22%625623.324041100003054.41%11.5600
5Gustav Olofsson278122031443274318.60%4460722.49426180000010%00.6600

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
1Jack Lafontaine169410.8963.60984005956500000
2David Rittich117400.8884.10614204237401100
3Jean-Francois Berube22001.0000550001600000
4Connor Ingram10001.0000430001800000