Connexion

Thunderbird
GP: 10 | W: 4 | L: 5 | OTL: 1 | P: 9
GF: 14 | GA: 28 | PP%: 9.68% | PK%: 84.21%
DG: Michael Lévesque | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Thunderbird
4-5-1, 9pts
0
FINAL
9 IceHogs
8-2-0, 16pts
Team Stats
W1SéquenceL1
2-2-1Fiche domicile5-0-0
2-3-0Fiche domicile3-2-0
4-5-1Derniers 10 matchs8-2-0
1.40Buts par match 3.50
2.80Buts contre par match 1.60
9.68%Pourcentage en avantage numérique19.18%
84.21%Pourcentage en désavantage numérique89.83%
Thunderbird
4-5-1, 9pts
2
FINAL
1 Stars
3-5-2, 8pts
Team Stats
W1SéquenceW1
2-2-1Fiche domicile1-3-1
2-3-0Fiche domicile2-2-1
4-5-1Derniers 10 matchs3-5-2
1.40Buts par match 1.90
2.80Buts contre par match 2.90
9.68%Pourcentage en avantage numérique9.52%
84.21%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Corey Perry
3
Passes
Alex Newhook
6
Points
Alex Newhook
7
Plus/Moins
Aatu Raty
1
Victoires
Charlie Lindgren
3
Pourcentage d’arrêts
Lukas Dostal
1

Statistiques d’équipe
Buts pour
14
1.40 GFG
Tirs pour
177
17.70 Avg
Pourcentage en avantage numérique
9.7%
6 GF
Début de zone offensive
38.9%
Buts contre
28
2.80 GAA
Tirs contre
205
20.50 Avg
Pourcentage en désavantage numérique
84.2%%
12 GA
Début de la zone défensive
42.2%
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 Pro35
Équipe Mineure19
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
1Alex Newhook0XX100.006942918468679968636570642560617050002211,491,667$
2Aatu Raty (R)0X100.00784491637051745976576460254545645000203902,500$
3John-Jason Peterka (R)0XX100.00594189766966926752717063255454705000213925,000$
4Alexander Holtz (R) (C)0XX100.006141877870566466255570572546466650002111,775,000$
5Zack MacEwen0XX100.0092996870816184634960586525626264500N0273987,500$
6Keegan Kolesar0X100.009996747582619361356260692563646750002631,400,000$
7Ryan Reaves0X100.009299837385548858326258662579846450003611,750,000$
8Trent Frederic0XX100.007895797677628761386473712562637150002511,137,500$
9Jakob Pelletier (R)0X100.00674197635967797633636461254646665000223863,333$
10Emil Heineman (R)0X100.00736982656952496350497463704444665000213925,000$
11Jamie Drysdale0X100.007767848867586368755945603757575250002111,775,000$
12Cam York0X100.007142897863788673256548722555556450002211,308,333$
13Caleb Jones0X100.00814484777178797525524877756666645000263850,000$
14Nicolas Hague0X100.007955828285758459255248772564656350002442,294,150$
15Simon Benoit0X100.00936178727878836125484895255959655000251925,000$
16Kurtis MacDermid0XX100.00859967699048685525494770256262585000292875,000$
Rayé
1Austin Poganski0X100.00777287657278845550565064484646595000273750,000$
2Corey Perry0X100.00679968778061997325636861619399685000381750,000$
3Matthew Highmore0XX100.00736786706772746650656068575858665000272750,000$
4Dylan Gambrell0X100.007543877768598055626058832564646650002731,100,000$
5Nicolas Deslauriers0XX100.009999557384569858335858692572736450003221,000,000$
6Adam Klapka (R)0XX100.0085936567937276567050586855444462500N0233957,500$
7Martin Chromiak (R)0X100.00756892656871746050536364604444645000213820,000$
8Alex Belzile0XX100.00736487667162706069717175535858715000321750,000$
9Samuel Poulin (R)0XX100.00797587637560635265386264594444605000222863,333$
10Brad Lambert (R)0XX100.007368836568535450634353605044445650001931,200,000$
11Chaz Lucius (R)0X100.007469856369474557715356625344445950002031,325,000$
12Jakub Lauko (R)0XX100.00847485676752735526617074254646695000233871,667$
13Dillon Heatherington (R)0X100.00788170638169754725374162394545535000282750,000$
14Eemil Viro (R)0X100.00716291646261664525363958374444505000213902,500$
15Mikko Kokkonen (R)0X100.00747279677260644625373960374444515000223846,667$
16Tim Berni (R)0X100.0085448363647191622542477625505060500N0232925,000$
MOYENNE D’ÉQUIPE100.0078688271736377604355576738555663500
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
1Jesper Wallstedt (R)0100.00554658845856546057563044445550002031,350,000$
2Mack Guzda (R)0100.005052658949525156525230444452500N02131,458,333$
Rayé
1Charlie Lindgren0100.00626563696558836565629550506650002921,000,000$
MOYENNE D’ÉQUIPE100.005654628157556360585752464658500
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
1Alex NewhookThunderbird (STL)C/LW10167060511831612.50%220820.810332460111591053.13%16000000.6711000020
2Simon BenoitThunderbird (STL)D10246-2280287163912.50%1223623.701121350000048000%000000.5100000100
3Cam YorkThunderbird (STL)D10134-310081513357.69%620920.941231245011046000%000000.3800000100
4Trent FredericThunderbird (STL)LW/RW1022401551351521113.33%017217.262137480002312043.48%4600000.4601001001
5Corey PerryThunderbird (STL)RW10303-1215129125725.00%120220.210001401011511031.68%10100000.3001100100
6Jamie DrysdaleThunderbird (STL)D10022-360941010%314514.5900007000016000%000000.2700000010
7Caleb JonesThunderbird (STL)D9022-2807128590%621824.30011846000048000%000000.1801000000
8John-Jason PeterkaThunderbird (STL)LW/RW10112-30019184145.56%118418.480119480000260042.86%1400000.2200000000
9Keegan KolesarThunderbird (STL)RW10112-480127145107.14%113313.35112420000000133.33%900000.3001000000
10Nicolas HagueThunderbird (STL)D10112-222022991711.11%922322.31112846000049010%000000.1800000100
11Aatu RatyThunderbird (STL)C41011000430033.33%1328.0700000000060066.67%2100000.6200000001
12Dylan GambrellThunderbird (STL)C6101-20011481612.50%28113.64000020000100051.69%8900000.2400000001
13Zack MacEwenThunderbird (STL)C/RW10011-3100131110280%0929.2300002000020033.33%6900000.2200000000
14Kurtis MacDermidThunderbird (STL)LW/D10011-32753111110%713813.8700002000017000%000000.1400001000
15Tim BerniThunderbird (STL)D1011100104020%11919.800003000005000%000001.0100000010
16Matthew HighmoreThunderbird (STL)LW/RW6000-200302230%0386.370000100001000%00000000000000
17Nicolas DeslauriersThunderbird (STL)LW/RW6000-11201546160%18714.59000000002140038.10%210000000000000
18Alexander HoltzThunderbird (STL)LW/RW4000020023010%0379.46000010000300100.00%10000000000000
19Adam KlapkaThunderbird (STL)C/RW3000100200000%1227.660000000000000%10000000000000
20Ryan ReavesThunderbird (STL)RW7000-325151524240%012818.300001270000180016.67%60000001102000
21Alex BelzileThunderbird (STL)C/RW9000-440915141100%013214.72000442000000052.05%1460000000000000
22Jakob PelletierThunderbird (STL)LW10000-100375330%0868.610001140000100018.18%330000000000000
23Jakub LaukoThunderbird (STL)LW/RW4000000213010%0389.680000100000000%00000000000000
Statistiques d’équipe totales ou en moyenne179142539-3620430212149177441347.91%54287216.04611177349812364714244.77%71700000.2716204443
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)83400.8902.2745001171540000080100
2Jesper WallstedtThunderbird (STL)21100.8184.0988006330000020001
3Lukas DostalBlues20011.00003400050000.667608000
4Mack GuzdaThunderbird (STL)10000.6927.7431004130000002000
Statistiques d’équipe totales ou en moyenne134510.8682.68605012720500061010101


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$902,500$902,500$902,500$0$0$No902,500$902,500$
Adam KlapkaThunderbird (STL)C/RW232000-09-14Yes245 Lbs6 ft8YesNoNoNo3Pro & Farm957,500$957,500$957,500$957,500$0$0$No957,500$957,500$Lien
Alex BelzileThunderbird (STL)C/RW321991-08-31No194 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Alex NewhookThunderbird (STL)C/LW222001-01-28No192 Lbs5 ft10NoNoNoNo1Pro & Farm1,491,667$1,491,667$1,491,667$1,491,667$0$0$NoLien
Alexander HoltzThunderbird (STL)LW/RW212002-01-23Yes192 Lbs6 ft0NoNoNoNo1Pro & Farm1,775,000$1,775,000$925,000$925,000$0$0$NoLien
Austin PoganskiThunderbird (STL)RW271996-02-16No198 Lbs6 ft1NoNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Brad LambertThunderbird (STL)C/RW192003-12-19Yes183 Lbs6 ft1NoNoNoNo3Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$0$0$No1,200,000$1,200,000$
Caleb JonesThunderbird (STL)D261997-06-05No194 Lbs6 ft1NoNoNoNo3Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$850,000$Lien
Cam YorkThunderbird (STL)D222001-01-05No172 Lbs5 ft11NoNoNoNo1Pro & Farm1,308,333$1,308,333$1,308,333$1,308,333$0$0$NoLien
Charlie LindgrenThunderbird (STL)G291993-12-17No182 Lbs6 ft1NoNoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Chaz LuciusThunderbird (STL)C202003-02-05Yes185 Lbs6 ft1NoNoNoNo3Pro & Farm1,325,000$1,325,000$1,325,000$1,325,000$0$0$No1,325,000$1,325,000$
Corey PerryThunderbird (STL)RW381985-05-16No205 Lbs6 ft3NoNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Dillon HeatheringtonThunderbird (STL)D281995-05-09Yes215 Lbs6 ft4NoNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Dylan GambrellThunderbird (STL)C271996-08-26No185 Lbs6 ft0NoNoNoNo3Pro & Farm1,100,000$1,100,000$1,100,000$1,100,000$0$0$No1,100,000$1,100,000$Lien
Eemil ViroThunderbird (STL)D212002-03-04Yes168 Lbs6 ft0NoNoNoNo3Pro & Farm902,500$902,500$902,500$902,500$0$0$No902,500$902,500$
Emil HeinemanThunderbird (STL)LW212001-11-16Yes185 Lbs6 ft1NoNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Jakob PelletierThunderbird (STL)LW222001-03-07Yes165 Lbs5 ft9NoNoNoNo3Pro & Farm863,333$863,333$863,333$863,333$0$0$No863,333$863,333$Lien
Jakub LaukoThunderbird (STL)LW/RW232000-03-28Yes179 Lbs6 ft0NoNoNoNo3Pro & Farm871,667$871,667$871,667$871,667$0$0$No871,667$871,667$Lien
Jamie DrysdaleThunderbird (STL)D212002-04-08No187 Lbs5 ft11NoNoNoNo1Pro & Farm1,775,000$1,775,000$1,775,000$1,775,000$0$0$NoLien
Jesper WallstedtThunderbird (STL)G202002-11-14Yes214 Lbs6 ft3NoNoNoNo3Pro & Farm1,350,000$1,350,000$1,350,000$1,350,000$0$0$No1,350,000$1,350,000$
John-Jason PeterkaThunderbird (STL)LW/RW212002-01-14Yes192 Lbs5 ft11NoNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Keegan KolesarThunderbird (STL)RW261997-04-08No216 Lbs6 ft2NoNoNoNo3Pro & Farm1,400,000$1,400,000$1,400,000$1,400,000$0$0$No1,400,000$1,400,000$Lien
Kurtis MacDermidThunderbird (STL)LW/D291994-03-25No233 Lbs6 ft5NoNoNoNo2Pro & Farm875,000$875,000$875,000$875,000$0$0$No875,000$Lien
Mack GuzdaThunderbird (STL)G212001-11-01Yes215 Lbs6 ft5YesNoNoNo3Pro & Farm1,458,333$1,458,333$1,458,333$1,458,333$0$0$No1,458,333$1,458,333$Lien
Martin ChromiakThunderbird (STL)RW212002-08-20Yes187 Lbs6 ft0NoNoNoNo3Pro & Farm820,000$820,000$820,000$820,000$0$0$No820,000$820,000$
Matthew HighmoreThunderbird (STL)LW/RW271996-02-27No188 Lbs5 ft11NoNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Mikko KokkonenThunderbird (STL)D222001-01-18Yes200 Lbs5 ft11NoNoNoNo3Pro & Farm846,667$846,667$846,667$846,667$0$0$No846,667$846,667$
Nicolas DeslauriersThunderbird (STL)LW/RW321991-02-22No219 Lbs6 ft3NoNoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Nicolas HagueThunderbird (STL)D241998-12-05No221 Lbs6 ft6NoNoNoNo4Pro & Farm2,294,150$2,294,150$2,294,150$2,294,150$0$0$No2,294,150$2,294,150$2,294,150$Lien
Ryan ReavesThunderbird (STL)RW361987-01-20No225 Lbs6 ft2NoNoNoNo1Pro & Farm1,750,000$1,750,000$1,750,000$1,750,000$0$0$NoLien
Samuel PoulinThunderbird (STL)C/LW222001-02-25Yes208 Lbs6 ft1NoNoNoNo2Pro & Farm863,333$863,333$863,333$863,333$0$0$No863,333$Lien
Simon BenoitThunderbird (STL)D251998-09-19No208 Lbs6 ft3NoNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Tim BerniThunderbird (STL)D232000-02-11Yes175 Lbs5 ft11YesNoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Trent FredericThunderbird (STL)LW/RW251998-02-11No203 Lbs6 ft2NoNoNoNo1Pro & Farm1,137,500$1,137,500$1,137,500$1,137,500$0$0$NoLien
Zack MacEwenThunderbird (STL)C/RW271996-07-08No205 Lbs6 ft3YesNoNoNo3Pro & Farm987,500$987,500$987,500$987,500$0$0$No987,500$987,500$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3524.66198 Lbs6 ft12.311,101,571$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trent FredericAlex Newhook35122
2John-Jason PeterkaRyan Reaves30122
3Jakob PelletierZack MacEwenKeegan Kolesar25122
4Alex NewhookZack MacEwen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesSimon Benoit35122
2Nicolas HagueCam York30122
3Jamie DrysdaleKurtis MacDermid25122
4Caleb JonesSimon Benoit10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trent FredericAlex Newhook60122
2John-Jason PeterkaRyan Reaves40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesSimon Benoit60122
2Nicolas HagueCam York40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex Newhook60122
2Trent FredericRyan Reaves40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesSimon Benoit60122
2Nicolas HagueCam York40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Caleb JonesSimon Benoit60122
2Alex Newhook40122Nicolas HagueCam York40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex Newhook60122
2Trent FredericRyan Reaves40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesSimon Benoit60122
2Nicolas HagueCam York40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trent FredericAlex NewhookCaleb JonesSimon Benoit
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trent FredericAlex NewhookCaleb JonesSimon Benoit
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakob Pelletier, Keegan Kolesar, Alex NewhookJakob Pelletier, Keegan Kolesar
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jamie Drysdale, Kurtis MacDermid, Nicolas HagueJamie DrysdaleKurtis MacDermid, Nicolas Hague
Tirs de pénalité
, Alex Newhook, Trent Frederic, Ryan Reaves, Keegan Kolesar
Gardien
#1 : Jesper Wallstedt, #2 : Mack Guzda
Lignes d’attaque personnalisées en prolongation
, Alex Newhook, Trent Frederic, Ryan Reaves, Keegan Kolesar, John-Jason Peterka, John-Jason Peterka, Jakob Pelletier, , Kurtis MacDermid, Zack MacEwen
Lignes de défense personnalisées en prolongation
Caleb Jones, Simon Benoit, Nicolas Hague, Cam York, 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
1Eagles2020000038-51010000025-31010000013-200.000358004641414962666401365371400.00%18288.89%112727845.68%13830145.85%5613541.48%2451612327512665
2IceHogs41300000315-122110000034-120200000011-1120.250369004641584962666892064892414.17%25772.00%012727845.68%13830145.85%5613541.48%2451612327512665
3Stars210000013301000000112-11100000021130.7503580046413149626663711393711218.18%16193.75%012727845.68%13830145.85%5613541.48%2451612327512665
4Wolves22000000523110000003211100000020241.00059140146414749626663910364913323.08%17288.24%012727845.68%13830145.85%5613541.48%2451612327512665
Total1045000011428-1452200001913-452300000515-1090.4501425390146411774962666205542042126269.68%761284.21%112727845.68%13830145.85%5613541.48%2451612327512665
_Since Last GM Reset1045000011428-1452200001913-452300000515-1090.4501425390146411774962666205542042126269.68%761284.21%112727845.68%13830145.85%5613541.48%2451612327512665
_Vs Conference1045000011428-1452200001913-452300000515-1090.4501425390146411774962666205542042126269.68%761284.21%112727845.68%13830145.85%5613541.48%2451612327512665
_Vs Division1045000011428-1452200001913-452300000515-1090.4501425390146411774962666205542042126269.68%761284.21%112727845.68%13830145.85%5613541.48%2451612327512665

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
109W11425391772055420421201
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104500011428
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5220001913
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
5230000515
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
6269.68%761284.21%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
49626664641
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
12727845.68%13830145.85%5613541.48%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2451612327512665


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
212IceHogs2Thunderbird0BLSommaire du match
325Wolves2Thunderbird3BWSommaire du match
437Thunderbird2Wolves0AWSommaire du match
547Stars2Thunderbird1BLXXSommaire du match
868IceHogs2Thunderbird3BWSommaire du match
978Thunderbird1Eagles3ALSommaire du match
1082Thunderbird0IceHogs2ALSommaire du match
1190Eagles5Thunderbird2BLSommaire du match
1295Thunderbird0IceHogs9ALSommaire du match
1398Thunderbird2Stars1AWSommaire du match



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
31 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,855,498$ 3,770,498$ 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$




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