Connexion

Thunderbird
GP: 17 | W: 7 | L: 10 | OTL: 0 | P: 14
GF: 24 | GA: 42 | PP%: 12.79% | PK%: 82.86%
DG: Michael Lévesque | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #202 vs Stars
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Centre de jeu
Thunderbird
7-10-0, 14pts
1
FINAL
6 Stars
8-4-6, 22pts
Team Stats
L2SéquenceSOL1
4-5-0Fiche domicile6-1-2
3-5-0Fiche domicile2-3-4
3-7-0Derniers 10 matchs3-2-5
1.41Buts par match 2.56
2.47Buts contre par match 2.33
12.79%Pourcentage en avantage numérique13.33%
82.86%Pourcentage en désavantage numérique85.44%
67s
5-10-2, 12pts
2
FINAL
1 Thunderbird
7-10-0, 14pts
Team Stats
L1SéquenceL2
2-6-1Fiche domicile4-5-0
3-4-1Fiche domicile3-5-0
3-6-1Derniers 10 matchs3-7-0
2.00Buts par match 1.41
2.76Buts contre par match 2.47
12.50%Pourcentage en avantage numérique12.79%
87.10%Pourcentage en désavantage numérique82.86%
Stars
8-4-6, 22pts
Jour 35
Thunderbird
7-10-0, 14pts
Statistiques d’équipe
SOL1SéquenceL2
6-1-2Fiche domicile4-5-0
2-3-4Fiche visiteur3-5-0
3-2-510 derniers matchs3-7-0
2.56Buts par match 1.41
2.33Buts contre par match 1.41
13.33%Pourcentage en avantage numérique12.79%
85.44%Pourcentage en désavantage numérique82.86%
Thunderbird
7-10-0, 14pts
Jour 37
Rocket
6-7-4, 16pts
Statistiques d’équipe
L2SéquenceW3
4-5-0Fiche domicile3-3-2
3-5-0Fiche visiteur3-4-2
3-7-010 derniers matchs4-4-2
1.41Buts par match 1.65
2.47Buts contre par match 1.65
12.79%Pourcentage en avantage numérique6.96%
82.86%Pourcentage en désavantage numérique90.22%
Stars
8-4-6, 22pts
Jour 38
Thunderbird
7-10-0, 14pts
Statistiques d’équipe
SOL1SéquenceL2
6-1-2Fiche domicile4-5-0
2-3-4Fiche visiteur3-5-0
3-2-510 derniers matchs3-7-0
2.56Buts par match 1.41
2.33Buts contre par match 1.41
13.33%Pourcentage en avantage numérique12.79%
85.44%Pourcentage en désavantage numérique82.86%
Meneurs d'équipe
Buts
Alex Newhook
3
Passes
Alex Belzile
4
Points
John-Jason Peterka
6
Plus/Moins
Cam York
4
Victoires
Charlie Lindgren
6
Pourcentage d’arrêts
Lukas Dostal
0.921

Statistiques d’équipe
Buts pour
24
1.41 GFG
Tirs pour
251
14.76 Avg
Pourcentage en avantage numérique
12.8%
11 GF
Début de zone offensive
37.2%
Buts contre
42
2.47 GAA
Tirs contre
336
19.76 Avg
Pourcentage en désavantage numérique
82.9%%
24 GA
Début de la zone défensive
42.4%
Informations de l'équipe

Directeur généralMichael Lévesque
EntraîneurAlex Burrows
DivisionDivision 4
ConférenceConference 2
CapitaineAlexander Holtz
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro36
Équipe Mineure18
Limite contact 54 / 60
Espoirs30


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
1Corey Perry0X100.00679968778061997325636861619399685000381750,000$
2John-Jason Peterka (R)0XX100.00594189766966926752717063255454705000213925,000$
3Matthew Highmore0XX100.00736786706772746650656068575858665000272750,000$
4Dylan Gambrell0X100.007543877768598055626058832564646650002731,100,000$
5Nicolas Deslauriers0XX100.009999557384569858335858692572736450003221,000,000$
6Zack MacEwen0XX100.0092996870816184634960586525626264500N0273987,500$
7Keegan Kolesar0X100.009996747582619361356260692563646750002631,400,000$
8Ryan Reaves0X100.009299837385548858326258662579846450003611,750,000$
9Trent Frederic0XX100.007895797677628761386473712562637150002511,137,500$
10Alex Belzile0XX100.00736487667162706069717175535858715000321750,000$
11Jakob Pelletier (R)0X100.00674197635967797633636461254646665000223863,333$
12Jakub Lauko (R)0XX100.00847485676752735526617074254646695000233871,667$
13Jamie Drysdale0X100.007767848867586368755945603757575250002111,775,000$
14Cam York0X100.007142897863788673256548722555556450002211,308,333$
15Caleb Jones0X100.00814484777178797525524877756666645000263850,000$
16Nicolas Hague0X100.007955828285758459255248772564656350002442,294,150$
17Simon Benoit0X100.00936178727878836125484895255959655000241925,000$
18Kurtis MacDermid0XX100.00859967699048685525494770256262585000292875,000$
Rayé
1Alex Newhook0XX90.356942918468679968636570642560617050002211,491,667$
2Austin Poganski0X100.00777287657278845550565064484646595000273750,000$
3Aatu Raty (R)0X100.00784491637051745976576460254545645000203902,500$
4Alexander Holtz (R) (C)0XX100.006141877870566466255570572546466650002111,775,000$
5Adam Klapka (R)0XX100.0085936567937276567050586855444462500N0223957,500$
6Martin Chromiak (R)0X100.00756892656871746050536364604444645000213820,000$
7Samuel Poulin (R)0XX100.00797587637560635265386264594444605000222863,333$
8Brad Lambert (R)0XX100.007368836568535450634353605044445650001931,200,000$
9Chaz Lucius (R)0X100.007469856369474557715356625344445950002031,325,000$
10Emil Heineman (R)0X100.00736982656952496350497463704444665000213925,000$
11Dillon Heatherington (R)0X100.00788170638169754725374162394545535000282750,000$
12Eemil Viro (R)0X100.00716291646261664525363958374444505000213902,500$
13Mikko Kokkonen (R)0X100.00747279677260644625373960374444515000223846,667$
14Tim Berni (R)0X100.0085448363647191622542477625505060500N0232925,000$
MOYENNE D’ÉQUIPE99.6978688271736377604355576738555663500
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
1Lukas Dostal (R)0100.0067615975785677676766754646675000231910,833$
2Charlie Lindgren0100.00626563696558836565629550506650002921,000,000$
Rayé
1Jesper Wallstedt (R)0100.00554658845856546057563044445550002031,350,000$
2Mack Guzda (R)0100.005052658949525156525230444452500N02131,458,333$
MOYENNE D’ÉQUIPE100.005956617963566662605958464660500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Burrows76758176747287CAN432500,000$


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
1John-Jason PeterkaThunderbird (STL)LW/RW173360000192581512.00%028016.481237670001291050.00%1200000.4300000010
2Alex NewhookThunderbird (STL)C/LW15325-34011302172014.29%129919.963147570001961254.85%23700000.3301000020
3Trent FredericThunderbird (STL)LW/RW17235-42003213224229.09%128917.020336691012590036.21%5800000.3511000001
4Alex BelzileThunderbird (STL)C/RW171450401023236164.35%226115.390118670000120054.17%24000000.3800000000
5Cam YorkThunderbird (STL)D1613441402213671316.67%2034921.85112562000084000%000000.2300000111
6Caleb JonesThunderbird (STL)D12224-4140188721428.57%1025921.64213639000068000%000000.3100000001
7Keegan KolesarThunderbird (STL)RW17134-31602713179185.88%322012.97011110000021042.86%2100000.3600000011
8Nicolas HagueThunderbird (STL)D16134-3240191418655.56%1535121.960001365000080000%000000.2300000000
9Simon BenoitThunderbird (STL)D16134-6380432518365.56%1836522.821341268000081000%000000.2200000000
10Kurtis MacDermidThunderbird (STL)LW/D17314-232050961150.00%1325515.04202210000032100%000000.3100000300
11Corey PerryThunderbird (STL)RW17033-4271525222210190%236221.320227630113990030.67%23800000.1712111000
12Dylan GambrellThunderbird (STL)C11213100315120916.67%315614.18000080000291052.52%13900000.3800000100
13Ryan ReavesThunderbird (STL)RW17033042205811105140%130017.680221640000520045.00%2000000.2001022002
14Jamie DrysdaleThunderbird (STL)D1710118018841125.00%1030918.20101235000160010%000000.0600000010
15Matthew HighmoreThunderbird (STL)LW/RW17101-1801472814.29%31317.7200007000080040.00%500000.1500000000
16Nicolas DeslauriersThunderbird (STL)LW/RW17011-251523159130%322413.18000040001220045.45%3300000.0900000000
17Zack MacEwenThunderbird (STL)C/RW17011-4195141512360%017710.42000010000140042.45%13900000.1100001000
18Tim BerniThunderbird (STL)D7011-3140834100%511015.7801101000016000%000000.1800000000
19Dillon HeatheringtonThunderbird (STL)D1000-140310000%01515.900000000004000%00000000000000
20Alexander HoltzThunderbird (STL)LW/RW6000020243040%0376.320000000001000%00000000000000
21Jakob PelletierThunderbird (STL)LW10000000031110%0444.42000110000010034.78%230000000000000
22Jakub LaukoThunderbird (STL)LW/RW9000-120364310%0667.4300000000000050.00%20000000000000
Statistiques d’équipe totales ou en moyenne306223759-3534345390274251801968.76%110486815.911118297871611298575345.93%116700000.2425134566
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
1Charlie LindgrenThunderbird (STL)146700.8772.4172240292350101.0006134110
2Lukas DostalThunderbird (STL)41200.9211.38217005630000040000
3Jesper WallstedtThunderbird (STL)20100.7895.52870083800000013000
Statistiques d’équipe totales ou en moyenne2071000.8752.451027404233601061717110


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 Ballotage forcé Waiver Possible 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 10Lien
Aatu RatyThunderbird (STL)C202002-11-14Yes185 Lbs6 ft2NoNoNoNo3Pro & Farm902,500$710,355$902,500$710,355$0$0$No902,500$902,500$
Adam KlapkaThunderbird (STL)C/RW222000-09-14Yes245 Lbs6 ft8YesNoNoNo3Pro & Farm957,500$753,645$957,500$753,645$0$0$No957,500$957,500$Lien
Alex BelzileThunderbird (STL)C/RW321991-08-31No194 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Alex Newhook (sur la masse salariale)Thunderbird (STL)C/LW222001-01-28No192 Lbs5 ft10NoNoNoNo1Pro & Farm1,491,667$1,174,086$1,491,667$1,174,086$0$0$YesLien
Alexander HoltzThunderbird (STL)LW/RW212002-01-23Yes192 Lbs6 ft0NoNoNoNo1Pro & Farm1,775,000$1,397,097$925,000$728,065$0$0$NoLien
Austin PoganskiThunderbird (STL)RW271996-02-16No198 Lbs6 ft1NoNoNoNo3Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$750,000$Lien
Brad LambertThunderbird (STL)C/RW192003-12-19Yes183 Lbs6 ft1NoNoNoNo3Pro & Farm1,200,000$944,516$1,200,000$944,516$0$0$No1,200,000$1,200,000$
Caleb JonesThunderbird (STL)D261997-06-05No194 Lbs6 ft1NoNoNoNo3Pro & Farm850,000$669,032$850,000$669,032$0$0$No850,000$850,000$Lien
Cam YorkThunderbird (STL)D222001-01-05No172 Lbs5 ft11NoNoNoNo1Pro & Farm1,308,333$1,029,785$1,308,333$1,029,785$0$0$NoLien
Charlie LindgrenThunderbird (STL)G291993-12-17No182 Lbs6 ft1NoNoNoNo2Pro & Farm1,000,000$787,097$1,000,000$787,097$0$0$No1,000,000$Lien
Chaz LuciusThunderbird (STL)C202003-02-05Yes185 Lbs6 ft1NoNoNoNo3Pro & Farm1,325,000$1,042,903$1,325,000$1,042,903$0$0$No1,325,000$1,325,000$
Corey PerryThunderbird (STL)RW381985-05-16No205 Lbs6 ft3NoNoNoNo1Pro & Farm750,000$590,323$750,000$590,323$0$0$NoLien
Dillon HeatheringtonThunderbird (STL)D281995-05-09Yes215 Lbs6 ft4NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
Dylan GambrellThunderbird (STL)C271996-08-26No185 Lbs6 ft0NoNoNoNo3Pro & Farm1,100,000$865,806$1,100,000$865,806$0$0$No1,100,000$1,100,000$Lien
Eemil ViroThunderbird (STL)D212002-03-04Yes168 Lbs6 ft0NoNoNoNo3Pro & Farm902,500$710,355$902,500$710,355$0$0$No902,500$902,500$
Emil HeinemanThunderbird (STL)LW212001-11-16Yes185 Lbs6 ft1NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$
Jakob PelletierThunderbird (STL)LW222001-03-07Yes165 Lbs5 ft9NoNoNoNo3Pro & Farm863,333$679,527$863,333$679,527$0$0$No863,333$863,333$Lien
Jakub LaukoThunderbird (STL)LW/RW232000-03-28Yes179 Lbs6 ft0NoNoNoNo3Pro & Farm871,667$686,086$871,667$686,086$0$0$No871,667$871,667$Lien
Jamie DrysdaleThunderbird (STL)D212002-04-08No187 Lbs5 ft11NoNoNoNo1Pro & Farm1,775,000$1,397,097$1,775,000$1,397,097$0$0$NoLien
Jesper WallstedtThunderbird (STL)G202002-11-14Yes214 Lbs6 ft3NoNoNoNo3Pro & Farm1,350,000$1,062,581$1,350,000$1,062,581$0$0$No1,350,000$1,350,000$
John-Jason PeterkaThunderbird (STL)LW/RW212002-01-14Yes192 Lbs5 ft11NoNoNoNo3Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$925,000$Lien
Keegan KolesarThunderbird (STL)RW261997-04-08No216 Lbs6 ft2NoNoNoNo3Pro & Farm1,400,000$1,101,935$1,400,000$1,101,935$0$0$No1,400,000$1,400,000$Lien
Kurtis MacDermidThunderbird (STL)LW/D291994-03-25No233 Lbs6 ft5NoNoNoNo2Pro & Farm875,000$688,710$875,000$688,710$0$0$No875,000$Lien
Lukas DostalThunderbird (STL)G232000-06-22Yes191 Lbs6 ft2NoNoNoNo1Pro & Farm910,833$716,914$450,000$354,194$0$0$NoLien
Mack GuzdaThunderbird (STL)G212001-11-01Yes215 Lbs6 ft5YesNoNoNo3Pro & Farm1,458,333$1,147,849$1,458,333$1,147,849$0$0$No1,458,333$1,458,333$Lien
Martin ChromiakThunderbird (STL)RW212002-08-20Yes187 Lbs6 ft0NoNoNoNo3Pro & Farm820,000$645,419$820,000$645,419$0$0$No820,000$820,000$
Matthew HighmoreThunderbird (STL)LW/RW271996-02-27No188 Lbs5 ft11NoNoNoNo2Pro & Farm750,000$590,323$750,000$590,323$0$0$No750,000$Lien
Mikko KokkonenThunderbird (STL)D222001-01-18Yes200 Lbs5 ft11NoNoNoNo3Pro & Farm846,667$666,409$846,667$666,409$0$0$No846,667$846,667$
Nicolas DeslauriersThunderbird (STL)LW/RW321991-02-22No219 Lbs6 ft3NoNoNoNo2Pro & Farm1,000,000$787,097$1,000,000$787,097$0$0$No1,000,000$Lien
Nicolas HagueThunderbird (STL)D241998-12-05No221 Lbs6 ft6NoNoNoNo4Pro & Farm2,294,150$1,805,718$2,294,150$1,805,718$0$0$No2,294,150$2,294,150$2,294,150$Lien
Ryan ReavesThunderbird (STL)RW361987-01-20No225 Lbs6 ft2NoNoNoNo1Pro & Farm1,750,000$1,377,419$1,750,000$1,377,419$0$0$NoLien
Samuel PoulinThunderbird (STL)C/LW222001-02-25Yes208 Lbs6 ft1NoNoNoNo2Pro & Farm863,333$679,527$863,333$679,527$0$0$No863,333$Lien
Simon BenoitThunderbird (STL)D241998-09-19No208 Lbs6 ft3NoNoNoNo1Pro & Farm925,000$728,065$925,000$728,065$0$0$NoLien
Tim BerniThunderbird (STL)D232000-02-11Yes175 Lbs5 ft11YesNoNoNo2Pro & Farm925,000$728,065$925,000$728,065$0$0$No925,000$Lien
Trent FredericThunderbird (STL)LW/RW251998-02-11No203 Lbs6 ft2NoNoNoNo1Pro & Farm1,137,500$895,323$1,137,500$895,323$0$0$NoLien
Zack MacEwenThunderbird (STL)C/RW271996-07-08No205 Lbs6 ft3YesNoNoNo3Pro & Farm987,500$777,258$987,500$777,258$0$0$No987,500$987,500$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3624.56198 Lbs6 ft12.281,096,273$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trent FredericCorey Perry35122
2John-Jason PeterkaAlex BelzileRyan Reaves30122
3Nicolas DeslauriersZack MacEwenKeegan Kolesar25122
4Matthew HighmoreCorey Perry10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
230122
3Jamie DrysdaleKurtis MacDermid25122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trent FredericCorey Perry60122
2John-Jason PeterkaAlex BelzileRyan Reaves40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Corey Perry60122
2Trent FredericRyan Reaves40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Corey Perry6012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Corey Perry60122
2Trent FredericRyan Reaves40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trent FredericCorey Perry
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trent FredericCorey Perry
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakob Pelletier, Keegan Kolesar, Nicolas DeslauriersJakob Pelletier, Keegan KolesarNicolas Deslauriers
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jamie Drysdale, Kurtis MacDermid, Jamie DrysdaleKurtis MacDermid,
Tirs de pénalité
Corey Perry, , Trent Frederic, Ryan Reaves, Alex Belzile
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Corey Perry, , Trent Frederic, Ryan Reaves, Alex Belzile, Keegan Kolesar, Keegan Kolesar, John-Jason Peterka, Nicolas Deslauriers, Zack MacEwen, Matthew Highmore
Lignes de défense personnalisées en prolongation
, , , , Jamie Drysdale


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
167s1010000012-11010000012-10000000000000.0001120078721180789171692619800.00%8275.00%120943048.60%21449143.58%11323647.88%398263417130214107
2Condors1010000003-3000000000001010000003-300.0000000078721280789171933117200.00%8275.00%020943048.60%21449143.58%11323647.88%398263417130214107
3Eagles2020000002-21010000001-11010000001-100.00000000787228807891743103247700.00%15193.33%020943048.60%21449143.58%11323647.88%398263417130214107
4Heat31100010550311000105500000000000040.66757120078724680789176120528113323.08%24483.33%020943048.60%21449143.58%11323647.88%398263417130214107
5IceHogs30200010513-81010000016-52010001047-320.333571200787251807891776295781700.00%26580.77%020943048.60%21449143.58%11323647.88%398263417130214107
6Penguins11000000211000000000001100000021121.0002350078721980789171451518700.00%40100.00%020943048.60%21449143.58%11323647.88%398263417130214107
7Sound Tigers1010000003-31010000003-30000000000000.000000007872980789171732018600.00%10370.00%020943048.60%21449143.58%11323647.88%398263417130214107
8Stars3210000069-3110000002112110000048-440.667612180078723780789176524807420420.00%30583.33%020943048.60%21449143.58%11323647.88%398263417130214107
9Wolves21100000541110000003121010000023-120.5005712007872388078917257343516425.00%15286.67%020943048.60%21449143.58%11323647.88%398263417130214107
Total17510000202442-18935000101219-7825000101223-11140.4122437610078722518078917336110347390861112.79%1402482.86%120943048.60%21449143.58%11323647.88%398263417130214107
_Since Last GM Reset17510000202442-18935000101219-7825000101223-11140.4122437610078722518078917336110347390861112.79%1402482.86%120943048.60%21449143.58%11323647.88%398263417130214107
_Vs Conference1238000101634-1852300000612-6715000101022-1280.33316264200787217580789172457625427258813.79%1041882.69%020943048.60%21449143.58%11323647.88%398263417130214107
_Vs Division1036000101628-124220000069-3614000101019-980.40016264200787215480789172097020323750816.00%861384.88%020943048.60%21449143.58%11323647.88%398263417130214107

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1714L224376125133611034739000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1751000202442
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
93500101219
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
82500101223
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
861112.79%1402482.86%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
80789177872
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
20943048.60%21449143.58%11323647.88%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
398263417130214107


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
414Heat3Thunderbird1BLSommaire du match
621Thunderbird0Condors3ALSommaire du match
832Thunderbird2Penguins1AWSommaire du match
940Heat1Thunderbird2BWXXSommaire du match
1053Wolves1Thunderbird3BWSommaire du match
1259Thunderbird0IceHogs4ALSommaire du match
1365Thunderbird3Stars2AWSommaire du match
1681Thunderbird2Wolves3ALSommaire du match
1788Stars1Thunderbird2BWSommaire du match
19106IceHogs6Thunderbird1BLSommaire du match
21121Sound Tigers3Thunderbird0BLSommaire du match
22129Thunderbird0Eagles1ALSommaire du match
25142Eagles1Thunderbird0BLSommaire du match
27155Heat1Thunderbird2BWSommaire du match
29163Thunderbird4IceHogs3AWXXSommaire du match
30165Thunderbird1Stars6ALSommaire du match
3218267s2Thunderbird1BLSommaire du match
35202Stars-Thunderbird-
37213Thunderbird-Rocket-
38222Stars-Thunderbird-
41232Thunderbird-Stars-
42244Thunderbird-IceHogs-
43251Thunderbird-Wolf Pack-
44260Condors-Thunderbird-
47274Monarchs-Thunderbird-
48284Thunderbird-Heat-
50296IceHogs-Thunderbird-
52309Thunderbird-67s-
53320Bruins-Thunderbird-
55329Thunderbird-Bruins-
57341Wolf Pack-Thunderbird-
60352Thunderbird-Heat-
62362Wolves-Thunderbird-
65376Rocket-Thunderbird-
67390Thunderbird-Stars-
69402Barracuda-Thunderbird-
70411Thunderbird-Eagles-
72423Griffins-Thunderbird-
74433Thunderbird-Eagles-
76444Marlies-Thunderbird-
77451Thunderbird-Marlies-
78463Crunch-Thunderbird-
80473Thunderbird-Moose-
83488Condors-Thunderbird-
84497Thunderbird-Condors-
87511Monarchs-Thunderbird-
88516Thunderbird-Griffins-
90524Thunderbird-Sound Tigers-
92536Sound Tigers-Thunderbird-
94553Thunderbird-Gulls-
95557Wolves-Thunderbird-
97574Thunderbird-Gulls-
98580Eagles-Thunderbird-
101593Thunderbird-Crunch-
102606Barracuda-Thunderbird-
105620Penguins-Thunderbird-
106625Thunderbird-Rocket-
109644Heat-Thunderbird-
111654Thunderbird-Moose-
112663Penguins-Thunderbird-
115675Thunderbird-Penguins-
117687Eagles-Thunderbird-
118701Thunderbird-Monarchs-
119710IceHogs-Thunderbird-
121721Thunderbird-Condors-
123731Monsters-Thunderbird-
125744Thunderbird-Condors-
126751Phantoms-Thunderbird-
128766Thunderbird-Monarchs-
130775Sound Tigers-Thunderbird-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
132788Thunderbird-Wolves-
133795Heat-Thunderbird-
134803Thunderbird-Wolves-
136816Thunderbird-Monsters-
138823Gulls-Thunderbird-
139828Thunderbird-Barracuda-
142838Thunderbird-Phantoms-
144848Moose-Thunderbird-
146862Moose-Thunderbird-
150883Gulls-Thunderbird-
152893Thunderbird-Barracuda-
154900Thunderbird-Penguins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
913,283$ 3,797,414$ 3,666,331$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 806,827$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 122 27,725$ 3,382,450$




Thunderbird 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

Thunderbird 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

Thunderbird 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

Thunderbird 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

Thunderbird 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