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Thunderbirds
GP: 12 | W: 7 | L: 5 | OTL: 0 | P: 14
GF: 38 | GA: 37 | PP%: 18.00% | PK%: 87.50%
DG: Genevieve Perrault | Morale : 70 | Moyenne d’équipe : 66
Prochains matchs #194 vs Hammers

Centre de jeu
Bears
7-4-0, 14pts
5
3 Thunderbirds
7-5-0, 14pts
Team Stats
W2SéquenceW1
5-1-0Fiche domicile4-2-0
2-3-0Fiche domicile3-3-0
6-4-0Derniers 10 matchs6-4-0
3.73Buts par match 3.17
3.73Buts contre par match 3.08
30.61%Pourcentage en avantage numérique18.00%
75.61%Pourcentage en désavantage numérique87.50%
Bruins
2-7-3, 7pts
1
4 Thunderbirds
7-5-0, 14pts
Team Stats
L4SéquenceW1
2-3-1Fiche domicile4-2-0
0-4-2Fiche domicile3-3-0
2-6-2Derniers 10 matchs6-4-0
2.58Buts par match 3.17
4.00Buts contre par match 3.08
27.91%Pourcentage en avantage numérique18.00%
70.31%Pourcentage en désavantage numérique87.50%
Thunderbirds
7-5-0, 14pts
Jour 28
Hammers
7-3-1, 15pts
Statistiques d’équipe
W1SéquenceL1
4-2-0Fiche domicile6-0-0
3-3-0Fiche visiteur1-3-1
6-4-010 derniers matchs6-3-1
3.17Buts par match 3.91
3.08Buts contre par match 3.91
18.00%Pourcentage en avantage numérique22.95%
87.50%Pourcentage en désavantage numérique70.37%
Admirals
7-2-3, 17pts
Jour 31
Thunderbirds
7-5-0, 14pts
Statistiques d’équipe
OTW1SéquenceW1
4-1-1Fiche domicile4-2-0
3-1-2Fiche visiteur3-3-0
6-1-310 derniers matchs6-4-0
3.17Buts par match 3.17
2.92Buts contre par match 3.17
21.15%Pourcentage en avantage numérique18.00%
81.58%Pourcentage en désavantage numérique87.50%
Thunderbirds
7-5-0, 14pts
Jour 33
Monsters
2-9-1, 5pts
Statistiques d’équipe
W1SéquenceL3
4-2-0Fiche domicile1-4-1
3-3-0Fiche visiteur1-5-0
6-4-010 derniers matchs2-7-1
3.17Buts par match 2.33
3.08Buts contre par match 2.33
18.00%Pourcentage en avantage numérique16.67%
87.50%Pourcentage en désavantage numérique84.48%
Meneurs d'équipe
Buts
Evan Rodrigues
5
Passes
Benoit-Olivier Groulx
9
Points
Evan Rodrigues
13
Plus/Moins
Albert Johansson
3
Victoires
Arturs Silovs
7
Pourcentage d’arrêts
Arturs Silovs
0.884

Statistiques d’équipe
Buts pour
38
3.17 GFG
Tirs pour
347
28.92 Avg
Pourcentage en avantage numérique
18.0%
9 GF
Début de zone offensive
40.4%
Buts contre
37
3.08 GAA
Tirs contre
326
27.17 Avg
Pourcentage en désavantage numérique
87.5%%
7 GA
Début de la zone défensive
39.0%
Informations de l'équipe

Directeur généralGenevieve Perrault
EntraîneurD.J. Smith
DivisionAtlantic
ConférenceConference Est
Capitaine
Assistant #1
Assistant #2Sam Stange


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite Contrat47 / 99
Espoirs61


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
1Evan Rodrigues0XXX99.0076418974736892754473645763798064706903312,062,000$
2Zack MacEwen0XX99.0099994359817185758473736959585852706903011,653,000$
3Ben Jones0X100.0077697666737886708171727065716856706902811,681,000$
4Skyler BrindAmour0XX99.0073708969758486687057797071707064706902741,975,000$
5Michael Sgarbossa0X100.006151586474259976687575556288886706803411,900,000$
6Charlie Stramel (R)0XX99.006743706869687369627667746051587870670223900,000$
7Nikita Alexandrov0XX99.007543907071648469636968656667681706702621,597,000$
8Stephen Halliday0XX100.007676966582778666776465675861606370660241900,000$
9Rutger McGroarty0XXX100.008078797176848565486559666262638870660222900,000$
10Jan Mysak0XX100.007265956572748358785458655963636770620241900,000$
11Adam Eisele0XXX100.006535736366677360456562715357587170620251900,000$
12Maxime Lajoie0X100.0049299364756385763078786956807941706902822,455,000$
13Albert Johansson0X99.0079468269728878652564587454686866706902532,172,000$
14Victor Mancini0X100.007442926985877161256657715565636970680241900,000$
15Noel Hoefenmayer0X100.0097784564746976603068626865726748706702711,476,000$
16Jeremie Biakabutuka0X100.006440706166697461457553705458597270630241900,000$
17Jake Murray0X100.006235735961727756456752725058596970620241900,000$
18Nick Grima0X100.006145675961697457456851675063596870610271590,000$
Rayé
1Benoit-Olivier Groulx0XX94.0058329465768892688167647265747962706902612,038,000$
2Jonah Gadjovich0XX100.0087754859816876595762615963746956706202821,156,000$
3Kirklan Irey0XXX100.005830746161687360456853685158586770600251700,000$
4Ryan Rosborough0XXX100.006133746061687456466353705059596870600261700,000$
5Tucker Robertson (R)0X100.007064916472606854664955615660586570580231575,000$
6Keaton Middleton0X100.0099825655858483463045456646787749706502821,374,000$
7Cale Fleury0X100.0047179961787891503049466455747658706202731,232,000$
MOYENNE D’ÉQUIPE99.52715377647372816353656167586767597065
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
1Arturs Silovs099.008384808682818382818382657357707902511,855,000$
2Alex Tracy0100.007470727276727274777169586281707102511,855,000$
Rayé
1Ben Kraws0100.007172688471676968676867677540707002631,673,000$
MOYENNE D’ÉQUIPE99.6776757381767375757574736370597073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
D.J. Smith91848083897771CAN492500,000$


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
1Evan RodriguesThunderbirds (STL)C/LW/RW1258130007263041516.67%224520.471234420000420140.00%4000001.0601000120
2Albert JohanssonThunderbirds (STL)D124610316027131541326.67%1729424.54213844101145100%000000.6800000001
3Benoit-Olivier GroulxThunderbirds (STL)C/LW12099000041278220%829424.5302210430112610055.95%39500000.6101000001
4Zack MacEwenThunderbirds (STL)C/RW1245902003815456288.89%121417.880337390002240050.89%16900000.8401000201
5Emil HeinemanBluesLW/RW7718212017122651326.92%116123.043148290000301242.86%1400000.9901000210
6Ben JonesThunderbirds (STL)C1244828018162441416.67%114912.4400001000000147.43%17500001.0711000120
7Rutger McGroartyThunderbirds (STL)C/LW/RW1225736012822499.09%015713.16011011000000042.86%700000.8900000000
8Skyler BrindAmourThunderbirds (STL)C/LW12246-300316474284.26%021217.721128410000111045.79%10700000.5601000000
9Jeremie BiakabutukaThunderbirds (STL)D12246325545111718.18%1120316.97112528000027000%000000.5900000010
10Charlie StramelThunderbirds (STL)C/RW9246-4006162051610.00%115417.14123329000001062.50%800000.7800000000
11Victor ManciniThunderbirds (STL)D12055-46091612460%1928824.03011842011048000%000000.3500000001
12Nikita AlexandrovThunderbirds (STL)C/LW12145-4401413224184.55%217414.550003130001100042.86%1400000.5711000000
13Adam EiseleThunderbirds (STL)C/LW/RW12044100579570%01099.0800000000000040.00%500000.7300000010
14Maxime LajoieThunderbirds (STL)D51231001790411.11%410320.77011513000020000%000000.5800000000
15Jake MurrayThunderbirds (STL)D1212312010631233.33%716814.050000100007000%000000.3600000001
16Noel HoefenmayerThunderbirds (STL)D12101-623548840925.00%1024820.72000238000037100%000000.0800010000
17Nick GrimaThunderbirds (STL)D12011-2401543110%413711.4500010000013000%000000.1500000000
18Michael SgarbossaThunderbirds (STL)C12101-2007645625.00%0715.9400000000071042.17%8300000.2800000000
19Stephen HallidayThunderbirds (STL)C/LW12000-2406211180%0736.1400000000080044.44%90000000000000
20Jan MysakThunderbirds (STL)C/LW5000000001000%030.60000010000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne2183768105-11130102472373456622610.72%88346615.90916257242412363976450.34%102700000.6127010675
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
1Arturs SilovsThunderbirds (STL)127500.8843.1468800363110100.8577120101
2Alex TracyThunderbirds (STL)10000.9331.67360011500000012000
Statistiques d’équipe totales ou en moyenne137500.8873.07724003732601071212101


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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 EiseleThunderbirds (STL)C/LW/RW252001-07-11USANo209 Lbs6 ft2NoNoFree AgentNoNo12026-07-04FalseFalsePro & Farm900,000$0$0$No---------------------------
Albert JohanssonThunderbirds (STL)D252001-01-04SWENo187 Lbs6 ft0NoNoFree AgentNoNo32026-05-31FalseFalsePro & Farm2,172,000$0$0$No2,172,000$2,172,000$-------2,172,000$2,172,000$-------NoNo-------
Alex TracyThunderbirds (STL)G252001-05-04USANo187 Lbs6 ft0NoNoFree AgentNoNo12026-06-24FalseFalsePro & Farm1,855,000$0$0$No---------------------------
Arturs SilovsThunderbirds (STL)G252001-03-22LATNo203 Lbs6 ft4NoNoProspectNoNo12026-06-06FalseFalsePro & Farm1,855,000$0$0$No---------------------------
Ben JonesThunderbirds (STL)C281998-05-01CANNo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,681,000$0$0$No---------------------------
Ben KrawsThunderbirds (STL)G262000-08-02USANo195 Lbs6 ft5NoNoFree AgentNoNo32026-05-31FalseFalsePro & Farm1,673,000$0$0$No1,673,000$1,673,000$-------1,673,000$1,673,000$-------NoNo-------
Benoit-Olivier Groulx (sur la masse salariale)Thunderbirds (STL)C/LW262000-02-06FRANo200 Lbs6 ft2NoNoTrade2025-02-15NoNo1FalseFalsePro & Farm2,038,000$0$0$Yes---------------------------
Cale FleuryThunderbirds (STL)D271998-11-19CANNo214 Lbs6 ft1NoNoN/ANoNo32026-05-31FalseFalsePro & Farm1,232,000$0$0$No1,232,000$1,232,000$-------1,232,000$1,232,000$-------NoNo-------
Charlie StramelThunderbirds (STL)C/RW222004-10-15USAYes216 Lbs6 ft3NoNoProspectNoNo32026-06-06FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Evan RodriguesThunderbirds (STL)C/LW/RW331993-07-28CANNo198 Lbs5 ft11NoNoTrade2025-06-29NoNo1FalseFalsePro & Farm2,062,000$0$0$No---------------------------
Jake MurrayThunderbirds (STL)D242002-04-11CANNo198 Lbs6 ft3NoNoProspectNoNo12026-06-06FalseFalsePro & Farm900,000$0$0$No---------------------------
Jan MysakThunderbirds (STL)C/LW242002-06-24CZENo193 Lbs5 ft11NoNoFree AgentNoNo12025-05-26FalseFalsePro & Farm900,000$0$0$No---------------------------
Jeremie BiakabutukaThunderbirds (STL)D242002-03-05CANNo203 Lbs6 ft4NoNoProspectNoNo12026-06-06FalseFalsePro & Farm900,000$0$0$No---------------------------
Jonah GadjovichThunderbirds (STL)LW/RW281998-10-12CANNo226 Lbs6 ft2NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,156,000$0$0$No1,156,000$--------1,156,000$--------No--------
Keaton MiddletonThunderbirds (STL)D281998-02-10CANNo249 Lbs6 ft5NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,374,000$0$0$No1,374,000$--------1,374,000$--------No--------
Kirklan IreyThunderbirds (STL)C/LW/RW252001-01-08USANo183 Lbs5 ft11NoNoFree AgentNoNo12026-10-05FalseFalsePro & Farm700,000$0$0$No---------------------------
Maxime LajoieThunderbirds (STL)D281997-11-05CANNo200 Lbs6 ft0NoNoFree AgentNoNo22024-07-10FalseFalsePro & Farm2,455,000$0$0$No2,455,000$--------2,455,000$--------No--------
Michael SgarbossaThunderbirds (STL)C341992-07-25CANNo202 Lbs6 ft0NoNoN/ANoNo12025-05-25FalseFalsePro & Farm1,900,000$0$0$No---------------------------
Nick GrimaThunderbirds (STL)D271999-03-07CANNo198 Lbs6 ft0NoNoProspectNoNo12026-06-06FalseFalsePro & Farm590,000$0$0$No---------------------------
Nikita AlexandrovThunderbirds (STL)C/LW262000-09-16RUSNo185 Lbs6 ft1NoNoTrade2024-08-12NoNo22025-05-25FalseFalsePro & Farm1,597,000$0$0$No1,597,000$--------1,597,000$--------No--------
Noel HoefenmayerThunderbirds (STL)D271999-01-06CANNo197 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,476,000$0$0$No---------------------------
Rutger McGroartyThunderbirds (STL)C/LW/RW222004-03-30USANo208 Lbs6 ft1NoNoFree AgentNoNo22025-05-26FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Ryan RosboroughThunderbirds (STL)C/LW/RW262000-05-24CANNo194 Lbs6 ft3NoNoFree AgentNoNo12026-10-05FalseFalsePro & Farm700,000$0$0$No---------------------------
Skyler BrindAmourThunderbirds (STL)C/LW271999-07-27USANo193 Lbs6 ft3NoNoFree AgentNoNo42026-06-24FalseFalsePro & Farm1,975,000$0$0$No1,975,000$1,975,000$1,975,000$------1,975,000$1,975,000$1,975,000$------NoNoNo------
Stephen HallidayThunderbirds (STL)C/LW242002-07-02CANNo213 Lbs6 ft4NoNoFree AgentNoNo12025-05-26FalseFalsePro & Farm900,000$0$0$No---------------------------
Tucker RobertsonThunderbirds (STL)C232003-06-22CANYes197 Lbs5 ft10NoNoTrade2024-08-01NoNo1FalseFalsePro & Farm575,000$0$0$No---------------------------
Victor ManciniThunderbirds (STL)D242002-05-26USANo231 Lbs6 ft3NoNoFree AgentNoNo12025-05-26FalseFalsePro & Farm900,000$0$0$No---------------------------
Zack MacEwenThunderbirds (STL)C/RW301996-07-08CANNo227 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,653,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2826.18204 Lbs6 ft21.571,354,250$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evan RodriguesZack MacEwen40122
2Nikita AlexandrovSkyler BrindAmourCharlie Stramel30122
3Rutger McGroartyBen JonesAdam Eisele20122
4Stephen HallidayMichael Sgarbossa10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonMaxime Lajoie40122
2Victor ManciniNoel Hoefenmayer30122
3Jeremie BiakabutukaJake Murray20122
4Nick GrimaAlbert Johansson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Evan RodriguesZack MacEwen60122
2Nikita AlexandrovSkyler BrindAmourCharlie Stramel40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonMaxime Lajoie60122
2Victor ManciniNoel Hoefenmayer40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Evan Rodrigues60122
2Zack MacEwenSkyler BrindAmour40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonMaxime Lajoie60122
2Victor ManciniNoel Hoefenmayer40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Albert JohanssonMaxime Lajoie60122
2Evan Rodrigues40122Victor ManciniNoel Hoefenmayer40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Evan Rodrigues60122
2Zack MacEwenSkyler BrindAmour40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonMaxime Lajoie60122
2Victor ManciniNoel Hoefenmayer40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evan RodriguesZack MacEwenAlbert JohanssonMaxime Lajoie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Evan RodriguesZack MacEwenAlbert JohanssonMaxime Lajoie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jan Mysak, Ben Jones, Michael SgarbossaJan Mysak, Ben JonesMichael Sgarbossa
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeremie Biakabutuka, Jake Murray, Nick GrimaJeremie BiakabutukaJake Murray, Nick Grima
Tirs de pénalité
, Evan Rodrigues, Zack MacEwen, Skyler BrindAmour, Ben Jones
Gardien
#1 : Arturs Silovs, #2 : Alex Tracy


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
TotalDomicile Visiteur
# 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 RI
1Bears211000007701010000035-21100000042220.50071320008131536012110611512472310525120.00%50100.00%020441249.51%20239850.75%11121152.61%2861942848815475
2Bruins21100000651110000004131010000024-220.50061117008131534712110611512421129398112.50%9277.78%020441249.51%20239850.75%11121152.61%2861942848815475
3Hammers10001000431100010004310000000000021.000471100813153331211061151235610244125.00%5180.00%020441249.51%20239850.75%11121152.61%2861942848815475
4Penguins2020000058-31010000034-11010000024-200.00059140081315360121106115125514204311218.18%10190.00%020441249.51%20239850.75%11121152.61%2861942848815475
5Phantoms21000010853100000104311100000042241.000813210081315367121106115124416203910220.00%6183.33%020441249.51%20239850.75%11121152.61%2861942848815475
6Wolf Pack1010000016-5000000000001010000016-500.0001230081315327121106115123451418000%7271.43%020441249.51%20239850.75%11121152.61%2861942848815475
7Wolves22000000734110000005231100000021141.000713200081315353121106115126914354312216.67%140100.00%120441249.51%20239850.75%11121152.61%2861942848815475
Total125501010383716220101023185633000001519-4140.583386810600813153347121106115123268913825850918.00%56787.50%120441249.51%20239850.75%11121152.61%2861942848815475
_Since Last GM Reset125501010383716220101023185633000001519-4140.583386810600813153347121106115123268913825850918.00%56787.50%120441249.51%20239850.75%11121152.61%2861942848815475
_Vs Conference125501010383716220101023185633000001519-4140.583386810600813153347121106115123268913825850918.00%56787.50%120441249.51%20239850.75%11121152.61%2861942848815475

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1214W138681063473268913825800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
125510103837
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
62210102318
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63300001519
Derniers 10 matchs
WLOTWOTL SOWSOL
441010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
50918.00%56787.50%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
12110611512813153
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
20441249.51%20239850.75%11121152.61%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2861942848815475


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
15Penguins4Thunderbirds3LSommaire du match
432Thunderbirds4Phantoms2WSommaire du match
646Hammers3Thunderbirds4WXSommaire du match
859Thunderbirds2Wolves1WSommaire du match
1178Thunderbirds4Bears2WSommaire du match
1392Wolves2Thunderbirds5WSommaire du match
16111Phantoms3Thunderbirds4WXXSommaire du match
18123Thunderbirds2Bruins4LSommaire du match
21140Thunderbirds1Wolf Pack6LSommaire du match
22150Thunderbirds2Penguins4LSommaire du match
24160Bears5Thunderbirds3LSommaire du match
27186Bruins1Thunderbirds4WSommaire du match
28194Thunderbirds-Hammers-
31216Admirals-Thunderbirds-
33228Thunderbirds-Monsters-
35241Wolf Pack-Thunderbirds-
40265Penguins-Thunderbirds-
42285Thunderbirds-Moose-
44302Rockets-Thunderbirds-
46312Thunderbirds-Barracuda-
48333Moose-Thunderbirds-
52354Americans-Thunderbirds-
54371Thunderbirds-Hammers-
56384Thunderbirds-Wranglers-
59393Thunderbirds-Reign-
60405Roadrunners-Thunderbirds-
63427Checkers-Thunderbirds-
65442Thunderbirds-Bears-
67456Thunderbirds-Admirals-
69466Thunderbirds-Silver Knight-
70475Wolves-Thunderbirds-
73492Thunderbirds-Wolves-
75506Marlies-Thunderbirds-
79529Bears-Thunderbirds-
81552Thunderbirds-Crunch-
83562Wolf Pack-Thunderbirds-
85579Thunderbirds-Wild-
86592Senators-Thunderbirds-
89611Thunderbirds-Eagles-
91625Silver Knight-Thunderbirds-
94650Thunderbirds-IceHogs-
96658Stars-Thunderbirds-
99683Thunderbirds-Canucks-
100693Firebird-Thunderbirds-
103711Thunderbirds-Griffins-
105724Wranglers-Thunderbirds-
107741Thunderbirds-Senators-
109753Thunderbirds-Checkers-
110762Hammers-Thunderbirds-
115786Thunderbirds-Firebird-
116793IceHogs-Thunderbirds-
119814Thunderbirds-Condors-
120822Canucks-Thunderbirds-
123848Thunderbirds-Bruins-
124856Gulls-Thunderbirds-
127879Thunderbirds-Roadrunners-
128889Thunderbirds-Comets-
130899Condors-Thunderbirds-
132919Crunch-Thunderbirds-
137946Comets-Thunderbirds-
139956Thunderbirds-Wolf Pack-
142977Phantoms-Thunderbirds-
143987Thunderbirds-Phantoms-
1471010Reign-Thunderbirds-
1501034Thunderbirds-Gulls-
1511043Wild-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1541052Thunderbirds-Rockets-
1571074Monsters-Thunderbirds-
1591086Thunderbirds-Americans-
1621104Thunderbirds-Penguins-
1631116Eagles-Thunderbirds-
1671136Thunderbirds-Marlies-
1681146Griffins-Thunderbirds-
1701161Thunderbirds-Stars-
1741184Barracuda-Thunderbirds-
1831205Bruins-Thunderbirds-



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 jourCapacité de l’arénaPopularité de l’équipe
32 3000 - 100.00% 126,650$759,900$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,160,699$ 7,176,200$ 7,176,200$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,087,726$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,052,800$ 158 41,493$ 6,555,894$




Thunderbirds 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

Thunderbirds 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

Thunderbirds 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

Thunderbirds 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

Thunderbirds 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