Connexion

Thunderbird
GP: 4 | W: 1 | L: 3
GF: 6 | GA: 10 | PP%: 12.90% | PK%: 94.29%
DG: Michael Lévesque | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #38 vs Wolves
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Centre de jeu
Wolves
3-1-0, 6pts
2
FINAL
1 Thunderbird
1-3-0, 2pts
Team Stats
W2SéquenceOTL1
1-1-0Fiche domicile0-2-0
2-0-0Fiche domicile1-1-0
3-1-0Derniers 10 matchs1-2-1
2.50Buts par match 1.50
1.50Buts contre par match 2.50
5.71%Pourcentage en avantage numérique12.90%
87.10%Pourcentage en désavantage numérique94.29%
Wolves
3-1-0, 6pts
4
FINAL
3 Thunderbird
1-3-0, 2pts
Team Stats
W2SéquenceOTL1
1-1-0Fiche domicile0-2-0
2-0-0Fiche domicile1-1-0
3-1-0Derniers 10 matchs1-2-1
2.50Buts par match 1.50
1.50Buts contre par match 2.50
5.71%Pourcentage en avantage numérique12.90%
87.10%Pourcentage en désavantage numérique94.29%
Thunderbird
1-3-0, 2pts
Jour 10
Wolves
3-1-0, 6pts
Statistiques d’équipe
OTL1SéquenceW2
0-2-0Fiche domicile1-1-0
1-1-0Fiche visiteur2-0-0
1-2-110 derniers matchs3-1-0
1.50Buts par match 2.50
2.50Buts contre par match 2.50
12.90%Pourcentage en avantage numérique5.71%
94.29%Pourcentage en désavantage numérique87.10%
Wolves
3-1-0, 6pts
Jour 12
Thunderbird
1-3-0, 2pts
Statistiques d’équipe
W2SéquenceOTL1
1-1-0Fiche domicile0-2-0
2-0-0Fiche visiteur1-1-0
3-1-010 derniers matchs1-2-1
2.50Buts par match 1.50
1.50Buts contre par match 1.50
5.71%Pourcentage en avantage numérique12.90%
87.10%Pourcentage en désavantage numérique94.29%
Thunderbird
1-3-0, 2pts
Jour 14
Wolves
3-1-0, 6pts
Statistiques d’équipe
OTL1SéquenceW2
0-2-0Fiche domicile1-1-0
1-1-0Fiche visiteur2-0-0
1-2-110 derniers matchs3-1-0
1.50Buts par match 2.50
2.50Buts contre par match 2.50
12.90%Pourcentage en avantage numérique5.71%
94.29%Pourcentage en désavantage numérique87.10%
Meneurs d'équipe
Buts
Trent Frederic
3
Passes
Alex Belzile
3
Points
Trent Frederic
3
Plus/Moins
Nicolas Deslauriers
1
Victoires
Lukas Dostal
1
Pourcentage d’arrêts
Lukas Dostal
0.865

Statistiques d’équipe
Buts pour
6
1.50 GFG
Tirs pour
93
23.25 Avg
Pourcentage en avantage numérique
12.9%
4 GF
Début de zone offensive
44.3%
Buts contre
10
2.50 GAA
Tirs contre
74
18.50 Avg
Pourcentage en désavantage numérique
94.3%%
2 GA
Début de la zone défensive
37.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure20
Limite contact 49 / 60
Espoirs31


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
1John-Jason Peterka (R)0XX100.00594189766966926752717063255454705000213925,000$
2Matthew Highmore0XX100.00736786706772746650656068575858665000272750,000$
3Dylan Gambrell0X100.007543877768598055626058832564646650002731,100,000$
4Nicolas Deslauriers0XX100.009999557384569858335858692572736450003221,000,000$
5Zack MacEwen0XX100.0092996870816184634960586525626264500N0273987,500$
6Adam Klapka (R)0XX100.0085936567937276567050586855444462500N0223957,500$
7Keegan Kolesar0X100.009996747582619361356260692563646750002631,400,000$
8Martin Chromiak (R)0X100.00756892656871746050536364604444645000213820,000$
9Ryan Reaves0X100.009299837385548858326258662579846450003611,750,000$
10Trent Frederic0XX100.007895797677628761386473712562637150002511,137,500$
11Alex Belzile0XX100.00736487667162706069717175535858715000321750,000$
12Jakob Pelletier (R)0X100.00674197635967797633636461254646665000223863,333$
13Cam York0X100.007142897863788673256548722555556450002211,308,333$
14Dillon Heatherington (R)0X100.00788170638169754725374162394545535000282750,000$
15Eemil Viro (R)0X100.00716291646261664525363958374444505000213902,500$
16Simon Benoit0X100.00936178727878836125484895255959655000241925,000$
17Kurtis MacDermid0XX100.00859967699048685525494770256262585000292875,000$
18Tim Berni (R)0X100.0085448363647191622542477625505060500N0232925,000$
Rayé
1Austin Poganski0X100.00777287657278845550565064484646595000273750,000$
2Corey Perry0X100.00679968778061997325636861619399685000381750,000$
3Samuel Poulin (R)0XX100.00797587637560635265386264594444605000222863,333$
4Brad Lambert (R)0XX100.007368836568535450634353605044445650001931,200,000$
5Chaz Lucius (R)0X100.007469856369474557715356625344445950002031,325,000$
6Emil Heineman (R)0X100.00736982656952496350497463704444665000213925,000$
7Mikko Kokkonen (R)0X100.00747279677260644625373960374444515000223846,667$
MOYENNE D’ÉQUIPE100.0079738069746377594354576839555663500
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
1Trent FredericThunderbird (STL)LW/RW4303-10067115827.27%09223.023034220001291037.50%7200000.6500000001
2Alex BelzileThunderbird (STL)C/RW4033-100347440%15614.23033223000000055.70%7900001.0500000000
3Nicolas DeslauriersThunderbird (STL)LW/RW420211006361633.33%04812.2000002000000040.00%500000.8200000001
4Zack MacEwenThunderbird (STL)C/RW4022100328160%04511.3800001000000051.35%3700000.8800000000
5Tim BerniThunderbird (STL)D4022-380656030%28822.19022217000022000%000000.4500000000
6Cam YorkThunderbird (STL)D4011040175450%110626.60011325000025000%000000.1900000000
7John-Jason PeterkaThunderbird (STL)LW/RW4101-2000513367.69%18220.741013180000210050.00%800000.2400000000
8Dylan GambrellThunderbird (STL)C4011-240056050%25914.96011419000010053.73%6700000.3300000000
9Eemil ViroThunderbird (STL)D4011-300110000%26817.1000000000011000%000000.2900000000
10Simon BenoitThunderbird (STL)D4011040956330%710426.13011525000025000%000000.1900000000
11Dillon HeatheringtonThunderbird (STL)D4000-380601000%26416.180000200014000%00000000000000
12Matthew HighmoreThunderbird (STL)LW/RW4000100235380%05714.40000120000110050.00%100000000000000
13Adam KlapkaThunderbird (STL)C/RW4000-460553020%0328.0100000000000053.33%300000000000000
14Keegan KolesarThunderbird (STL)RW4000-2601466130%07719.380003190000150052.63%190000000000000
15Martin ChromiakThunderbird (STL)RW4000-420053120%0317.980000000000000%00000000000000
16Ryan ReavesThunderbird (STL)RW4000-1401014220%18721.980002220001250061.54%130000000000000
17Jakob PelletierThunderbird (STL)LW4000-400153030%0317.980000000000000%10000000000000
18Kurtis MacDermidThunderbird (STL)LW/D4000-31601120110%28120.47000016000019000%00000000000000
Statistiques d’équipe totales ou en moyenne7261117-3072084719329676.45%21121916.9448122922100032151050.15%34100000.2800000002
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
1Lukas DostalThunderbird (STL)41210.8652.342570110740000040100
Statistiques d’équipe totales ou en moyenne41210.8652.34257011074000040100


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantSalaire moyenSalaire moyen 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
Adam KlapkaThunderbird (STL)C/RW222000-09-14Yes245 Lbs6 ft8YesNoN/ANoNo3FalseFalsePro & Farm957,500$410,357$957,500$410,357$0$0$No957,500$957,500$-------YesYes-------Lien
Alex BelzileThunderbird (STL)C/RW321991-08-31No194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No------------------Lien
Austin PoganskiThunderbird (STL)RW271996-02-16No198 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$750,000$-------NoNo-------Lien
Brad LambertThunderbird (STL)C/RW192003-12-19Yes183 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,200,000$514,286$1,200,000$514,286$0$0$No1,200,000$1,200,000$-------NoNo-------
Cam YorkThunderbird (STL)D222001-01-05No172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,308,333$560,714$1,308,333$560,714$0$0$No------------------Lien
Charlie LindgrenThunderbird (STL)G291993-12-17No182 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$428,571$1,000,000$428,571$0$0$No1,000,000$--------No--------Lien
Chaz LuciusThunderbird (STL)C202003-02-05Yes185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,325,000$567,857$1,325,000$567,857$0$0$No1,325,000$1,325,000$-------NoNo-------
Corey PerryThunderbird (STL)RW381985-05-16No205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No------------------Lien
Dillon HeatheringtonThunderbird (STL)D281995-05-09Yes215 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$--------No--------Lien
Dylan GambrellThunderbird (STL)C271996-08-26No185 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,100,000$471,429$1,100,000$471,429$0$0$No1,100,000$1,100,000$-------NoNo-------Lien
Eemil ViroThunderbird (STL)D212002-03-04Yes168 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm902,500$386,786$902,500$386,786$0$0$No902,500$902,500$-------NoNo-------
Emil HeinemanThunderbird (STL)LW212001-11-16Yes185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------
Jakob PelletierThunderbird (STL)LW222001-03-07Yes165 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm863,333$370,000$863,333$370,000$0$0$No863,333$863,333$-------NoNo-------Lien
Jesper WallstedtThunderbird (STL)G202002-11-14Yes214 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,350,000$578,571$1,350,000$578,571$0$0$No1,350,000$1,350,000$-------NoNo-------
John-Jason PeterkaThunderbird (STL)LW/RW212002-01-14Yes192 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$925,000$-------NoNo-------Lien
Keegan KolesarThunderbird (STL)RW261997-04-08No216 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm1,400,000$600,000$1,400,000$600,000$0$0$No1,400,000$1,400,000$-------NoNo-------Lien
Kurtis MacDermidThunderbird (STL)LW/D291994-03-25No233 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm875,000$375,000$875,000$375,000$0$0$No875,000$--------No--------Lien
Lukas DostalThunderbird (STL)G232000-06-22Yes191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm910,833$390,357$450,000$192,857$0$0$No------------------Lien
Mack GuzdaThunderbird (STL)G212001-11-01Yes215 Lbs6 ft5YesNoN/ANoNo3FalseFalsePro & Farm1,458,333$625,000$1,458,333$625,000$0$0$No1,458,333$1,458,333$-------YesYes-------Lien
Martin ChromiakThunderbird (STL)RW212002-08-20Yes187 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm820,000$351,429$820,000$351,429$0$0$No820,000$820,000$-------NoNo-------
Matthew HighmoreThunderbird (STL)LW/RW271996-02-27No188 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$321,429$750,000$321,429$0$0$No750,000$--------No--------Lien
Mikko KokkonenThunderbird (STL)D222001-01-18Yes200 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm846,667$362,857$846,667$362,857$0$0$No846,667$846,667$-------NoNo-------
Nicolas DeslauriersThunderbird (STL)LW/RW321991-02-22No219 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$428,571$1,000,000$428,571$0$0$No1,000,000$--------No--------Lien
Ryan ReavesThunderbird (STL)RW361987-01-20No225 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,750,000$750,000$1,750,000$750,000$0$0$No------------------Lien
Samuel PoulinThunderbird (STL)C/LW222001-02-25Yes208 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm863,333$370,000$863,333$370,000$0$0$No863,333$--------No--------Lien
Simon BenoitThunderbird (STL)D241998-09-19No208 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No------------------Lien
Tim BerniThunderbird (STL)D232000-02-11Yes175 Lbs5 ft11YesNoN/ANoNo2FalseFalsePro & Farm925,000$396,429$925,000$396,429$0$0$No925,000$--------Yes--------Lien
Trent FredericThunderbird (STL)LW/RW251998-02-11No203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,137,500$487,500$1,137,500$487,500$0$0$No------------------Lien
Zack MacEwenThunderbird (STL)C/RW271996-07-08No205 Lbs6 ft3YesNoN/ANoNo3FalseFalsePro & Farm987,500$423,214$987,500$423,214$0$0$No987,500$987,500$-------YesYes-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.07199 Lbs6 ft12.281,017,442$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trent FredericAlex BelzileRyan Reaves35122
2John-Jason PeterkaDylan GambrellKeegan Kolesar30122
3Nicolas DeslauriersZack MacEwenMatthew Highmore25122
4Jakob PelletierAdam KlapkaMartin Chromiak10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam YorkSimon Benoit35122
2Kurtis MacDermidTim Berni30122
3Dillon HeatheringtonEemil Viro25122
4Cam YorkSimon Benoit10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trent FredericAlex BelzileRyan Reaves60122
2John-Jason PeterkaDylan GambrellKeegan Kolesar40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam YorkSimon Benoit60122
2Kurtis MacDermidTim Berni40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Trent FredericRyan Reaves60122
2Keegan KolesarJohn-Jason Peterka40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam YorkSimon Benoit60122
2Kurtis MacDermidTim Berni40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Trent Frederic60122Cam YorkSimon Benoit60122
2Ryan Reaves40122Kurtis MacDermidTim Berni40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Trent FredericRyan Reaves60122
2Keegan KolesarJohn-Jason Peterka40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cam YorkSimon Benoit60122
2Kurtis MacDermidTim Berni40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trent FredericAlex BelzileRyan ReavesCam YorkSimon Benoit
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trent FredericAlex BelzileRyan ReavesCam YorkSimon Benoit
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicolas Deslauriers, Zack MacEwen, Matthew HighmoreNicolas Deslauriers, Zack MacEwenMatthew Highmore
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dillon Heatherington, Eemil Viro, Kurtis MacDermidDillon HeatheringtonEemil Viro, Kurtis MacDermid
Tirs de pénalité
Trent Frederic, Ryan Reaves, Keegan Kolesar, John-Jason Peterka, Alex Belzile
Gardien
#1 : Lukas Dostal, #2 : Charlie Lindgren
Lignes d’attaque personnalisées en prolongation
Trent Frederic, Ryan Reaves, Keegan Kolesar, John-Jason Peterka, Alex Belzile, Nicolas Deslauriers, Nicolas Deslauriers, Dylan Gambrell, Zack MacEwen, Matthew Highmore, Jakob Pelletier
Lignes de défense personnalisées en prolongation
Cam York, Simon Benoit, Kurtis MacDermid, Tim Berni, Dillon Heatherington


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
1Wolves41300000610-42020000046-22110000024-220.250611170133009326322967421728431412.90%35294.29%07815151.66%6512950.39%286145.90%10469100335325
Total41300000610-42020000046-22110000024-220.250611170133009326322967421728431412.90%35294.29%07815151.66%6512950.39%286145.90%10469100335325
_Since Last GM Reset41300000610-42020000046-22110000024-220.250611170133009326322967421728431412.90%35294.29%07815151.66%6512950.39%286145.90%10469100335325
_Vs Conference41300000610-42020000046-22110000024-220.250611170133009326322967421728431412.90%35294.29%07815151.66%6512950.39%286145.90%10469100335325
_Vs Division41300000610-42020000046-22110000024-220.250611170133009326322967421728431412.90%35294.29%07815151.66%6512950.39%286145.90%10469100335325

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
42OTL161117937421728401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4130000610
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000046
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000024
Derniers 10 matchs
WLOTWOTL SOWSOL
120100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
31412.90%35294.29%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
26322963300
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
7815151.66%6512950.39%286145.90%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10469100335325


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
26Thunderbird1Wolves4LSommaire du match
414Thunderbird1Wolves0WSommaire du match
622Wolves2Thunderbird1LSommaire du match
830Wolves4Thunderbird3LXSommaire du match
1038Thunderbird-Wolves-
1246Wolves-Thunderbird-
1454Thunderbird-Wolves-



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
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,950,582$ 2,904,499$ 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$ 6 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