Thunderbirds
GP: 10 | W: 5 | L: 5
GF: 28 | GA: 25 | PP%: 15.38% | PK%: 84.62%
DG: Justin Levergneux | Morale : 50 | Moyenne d'Équipe : 66
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Wild
8-1-0, 16pts
2
FINAL
3 Thunderbirds
5-5-0, 10pts
Team Stats
W1StreakL1
5-0-0Home Record3-2-0
3-1-0Away Record2-3-0
8-0-1Last 10 Games5-4-1
3.672.80
2.562.50
18.75%15.38%
92.86%84.62%
Thunderbirds
5-5-0, 10pts
3
FINAL
4 Wild
8-1-0, 16pts
Team Stats
L1StreakW1
3-2-0Home Record5-0-0
2-3-0Away Record3-1-0
5-4-1Last 10 Games8-0-1
2.803.67
2.502.56
15.38%18.75%
84.62%92.86%
Jake LucchiniButs
Jake Lucchini
5
Marcus BjorkPasses
Marcus Bjork
7
Jake LucchiniPoints
Jake Lucchini
9
Mark KastelicPlus/Moins
Mark Kastelic
8
Magnus HellbergVictoires
Magnus Hellberg
5
Magnus HellbergPourcentage d'Arrêts
Magnus Hellberg
0.927

Statistiques d'Équipe

28
2.80 GFG
Tirs Pour
411
41.10 Avg

15.4%
2 GF

38.0%
Buts Contre
25
2.50 GAA
Tirs Contre
332
33.20 Avg

84.6%
4 GA

38.2%


Directeur généralJustin Levergneux
Central Division
Western Conference
Zach Bogosian
Parker Kelly
Sam Carrick




Capacité de l'Aréna5,000
Assistance5,000
5,000




22
20
42 / 55
Éspoirs25


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 Moyen
1Parker Kelly (R) (A)0XX100.00905491748346665745667075636363050770243869,500$
2Mark Kastelic (R)0X100.00905489738339785865677178646464050770241925,000$
3Gemel Smith0X100.00703857697058456365736775652540050750292855,000$
4Sam Carrick (A)0XX100.00805685768247625760677061636363050740311850,000$
5Jake Lucchini0X100.00765099668151555745657155646464050720281775,000$
6Max McCormick0X100.00555379595858624936636657572540050640311762,500$
7Angus Crookshank (R)0X100.00526683555483974436596541542540050630231838,333$
8Scott Sabourin0X100.00625069565658544336606546542540050610301775,000$
9Curtis Douglas (R)0X100.00576476535379913965576438512540050600232925,000$
10Pontus Andreasson (R)0X100.00526283535374864065576436522540050590241750,000$
11Bokondji Imama0X100.00585774525363733836576337512540050580261775,000$
12Marcus Bjork (R)0X100.00715588718067556940716955696969050770251925,000$
13Zach Bogosian (C)0X100.00785492698056556240676865656565050760321850,000$
14Jack Rathbone0X100.00695197727953556240676955666666050730245867,000$
15Brady Lyle (R)0X100.00536282535474864036596439522540050600241925,000$
16Keaton Middleton0X100.00585575535358663936596343512540050590251775,000$
17Mason Geertsen0XX100.00586175515272833636566335502540050580281775,000$
18Wyatt Newpower (R)0X100.00545880515265753736566336502540050570251925,000$
Rayé
1Kirill Tyutyayev (R)0X100.00514584515358453736566336502540050560221750,000$
2Curtis Hall (R)0X100.00515684515261713665566335502540050560232925,000$
MOYENNE D'ÉQUIPE100.0064558260646168484662665057394905066
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 Moyen
1Magnus Hellberg (R)100.0080655373797875798872842752050800321750,000$
2J-F Berube100.0072655374746271717072722555050710311750,000$
Rayé
MOYENNE D'ÉQUIPE100.007665537477707375797278265405076
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Jake LucchiniThunderbirds (STL)C105497201962472020.83%314614.65000110000010014.65161510001.2300000020
2Marcus BjorkThunderbirds (STL)D102793402184514154.44%1224124.16011211000018100.00%0189000.7500000010
3Zach BogosianThunderbirds (STL)D1036940015163612158.33%2824224.25202411000020000.00%0516000.7400000021
4Mark KastelicThunderbirds (STL)C1036986024294712296.38%916316.390006100001200016.3995208001.1000000001
5Gemel SmithThunderbirds (STL)C101783601518359172.86%1118518.580119110220180018.581751314000.8600000000
6Parker KellyThunderbirds (STL)C/LW10538300211226111419.23%718418.490001111123203018.4912138000.8700000101
7Jack RathboneThunderbirds (STL)D103476009144013197.50%1821421.40000110011023000.00%0158000.6500000100
8Curtis DouglasThunderbirds (STL)C1013402725109209105.00%212012.1000000000000012.1083103000.6600113000
9Max McCormickThunderbirds (STL)LW10213-6007164010225.00%713913.9500000000001013.959169000.4300000000
10Sam CarrickThunderbirds (STL)C/RW101231201214266193.85%1218318.400001110001210018.4031265000.3300000001
11Scott SabourinThunderbirds (STL)RW10033-620249196120.00%815115.12000210000000015.12774000.4000000000
12Keaton MiddletonThunderbirds (STL)D10022-4607612650.00%1416616.680000000005000.00%037000.2400000000
13Mason GeertsenThunderbirds (STL)LW/D1011210013715346.67%012412.4700000000000012.47161000.3200000000
14Pontus AndreassonThunderbirds (STL)C10011-52220863440.00%013413.4900000000000013.498610000.1500112000
15Brady LyleThunderbirds (STL)D10101518103341225.00%820820.82000110101119000.00%003000.1000002000
16Angus CrookshankThunderbirds (STL)LW1000081151032020.00%013213.260000000003000.00%402000.00%00001000
17Bokondji ImamaThunderbirds (STL)LW100000601010157100.00%212612.6600000000000012.66494000.00%00000000
18Wyatt NewpowerThunderbirds (STL)D10000-555862340.00%615515.550000000000000.00%031000.00%00001000
Stats d'équipe Total ou en Moyenne18028507823117652361924111332236.81%147302416.802242811024661745050.29%523180112000.5200229254
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
1Magnus HellbergThunderbirds (STL)105410.9272.366110024331197110.00%0100210
Stats d'équipe Total ou en Moyenne105410.9272.366110024331197110.0000100210


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Angus CrookshankThunderbirds (STL)LW231999-10-02Yes181 Lbs5 ft11NoNoNo1Pro & Farm838,333$279,444$838,333$279,444$0$0$NoLien / Lien NHL
Bokondji ImamaThunderbirds (STL)LW261996-08-03No221 Lbs6 ft1NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Brady LyleThunderbirds (STL)D241999-06-06Yes211 Lbs6 ft3NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Curtis DouglasThunderbirds (STL)C232000-03-06Yes235 Lbs6 ft9NoNoNo2Pro & Farm925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Curtis HallThunderbirds (STL)C232000-04-26Yes209 Lbs6 ft3NoNoNo2Farm Only925,000$308,333$925,000$308,333$0$0$No925,000$Lien / Lien NHL
Gemel SmithThunderbirds (STL)C291994-04-16No210 Lbs6 ft0NoNoNo2Pro & Farm855,000$285,000$855,000$285,000$0$0$No855,000$Lien / Lien NHL
J-F BerubeThunderbirds (STL)G311991-07-13No176 Lbs6 ft1NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Jack RathboneThunderbirds (STL)D241999-05-20No177 Lbs5 ft10NoNoNo5Pro & Farm867,000$289,000$867,000$289,000$0$0$No867,000$867,000$867,000$867,000$Lien / Lien NHL
Jake LucchiniThunderbirds (STL)C281995-05-09No180 Lbs6 ft0NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Keaton MiddletonThunderbirds (STL)D251998-02-10No240 Lbs6 ft6NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Kirill TyutyayevThunderbirds (STL)LW222000-08-08Yes170 Lbs5 ft10NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Magnus HellbergThunderbirds (STL)G321991-04-04Yes220 Lbs6 ft6NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien NHL
Marcus BjorkThunderbirds (STL)D251997-11-24Yes211 Lbs6 ft4NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien NHL
Mark KastelicThunderbirds (STL)C241999-03-11Yes210 Lbs6 ft3NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Mason GeertsenThunderbirds (STL)LW/D281995-04-19No221 Lbs6 ft4NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Max McCormickThunderbirds (STL)LW311992-05-01No188 Lbs5 ft11NoNoNo1Pro & Farm762,500$254,167$762,500$254,167$0$0$NoLien / Lien NHL
Parker KellyThunderbirds (STL)C/LW241999-05-14Yes190 Lbs6 ft0NoNoNo3Pro & Farm869,500$289,833$869,500$289,833$0$0$No869,500$869,500$Lien / Lien NHL
Pontus AndreassonThunderbirds (STL)C241998-08-24Yes183 Lbs5 ft11NoNoNo1Pro & Farm750,000$250,000$750,000$250,000$0$0$NoLien / Lien NHL
Sam CarrickThunderbirds (STL)C/RW311992-02-04No189 Lbs6 ft0NoNoNo1Pro & Farm850,000$283,333$850,000$283,333$0$0$NoLien / Lien NHL
Scott SabourinThunderbirds (STL)RW301992-07-30No207 Lbs6 ft4NoNoNo1Pro & Farm775,000$258,333$775,000$258,333$0$0$NoLien / Lien NHL
Wyatt NewpowerThunderbirds (STL)D251997-12-09Yes207 Lbs6 ft3NoNoNo1Pro & Farm925,000$308,333$925,000$308,333$0$0$NoLien / Lien NHL
Zach BogosianThunderbirds (STL)D321990-07-15No222 Lbs6 ft2NoNoNo1Pro & Farm850,000$283,333$850,000$283,333$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2226.55203 Lbs6 ft21.41832,606$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Parker KellyGemel SmithSam Carrick30122
2Angus CrookshankMark KastelicJake Lucchini25122
3Max McCormickPontus AndreassonScott Sabourin25122
4Mason GeertsenCurtis DouglasBokondji Imama20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marcus BjorkZach Bogosian30122
2Jack RathboneBrady Lyle30122
3Keaton MiddletonWyatt Newpower20320
4Marcus BjorkZach Bogosian20122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Parker KellyGemel SmithSam Carrick50122
2Jake LucchiniMark KastelicScott Sabourin50122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marcus BjorkZach Bogosian50122
2Jack RathboneBrady Lyle50122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Gemel SmithParker Kelly50122
2Sam CarrickMark Kastelic50122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marcus BjorkZach Bogosian50122
2Jack RathboneBrady Lyle50122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mark Kastelic50122Marcus BjorkZach Bogosian50122
2Sam Carrick50122Jack RathboneBrady Lyle50122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Gemel SmithParker Kelly50122
2Sam CarrickMark Kastelic50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Marcus BjorkZach Bogosian50122
2Jack RathboneBrady Lyle50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Parker KellyGemel SmithSam CarrickMarcus BjorkZach Bogosian
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Parker KellyGemel SmithSam CarrickMarcus BjorkZach Bogosian
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jake Lucchini, Mark Kastelic, Angus CrookshankMark Kastelic, Max McCormickMark Kastelic
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brady Lyle, Keaton Middleton, Mason GeertsenBrady LyleBrady Lyle, Keaton Middleton
Tirs de Pénalité
Parker Kelly, Mark Kastelic, Gemel Smith, Sam Carrick, Jake Lucchini
Gardien
#1 : Magnus Hellberg, #2 : J-F Berube
Lignes d'Attaque Perso. en Prol.
Parker Kelly, Mark Kastelic, Gemel Smith, Sam Carrick, Jake Lucchini, Max McCormick, Max McCormick, Angus Crookshank, Scott Sabourin, Curtis Douglas, Mason Geertsen
Lignes de Défense Perso. en Prol.
Marcus Bjork, Zach Bogosian, Jack Rathbone, Brady Lyle, Keaton Middleton


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
LigueDomicileVisiteur
# 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
1Moose5410000016883210000010462200000064280.8001628440011971206137120148616666921125120.00%16381.25%09919949.75%10420052.00%6012448.39%2361542158316179
2Wild514000001217-52110000045-130300000812-420.2001222341011971205137120148616681251248112.50%10190.00%29919949.75%10420052.00%6012448.39%2361542158316179
Total10550000028253532000001495523000001416-2100.5002850781011971411137120148633214711723613215.38%26484.62%29919949.75%10420052.00%6012448.39%2361542158316179
_Since Last GM Reset10550000028253532000001495523000001416-2100.5002850781011971411137120148633214711723613215.38%26484.62%29919949.75%10420052.00%6012448.39%2361542158316179
_Vs Conference10550000028253532000001495523000001416-2100.5002850781011971411137120148633214711723613215.38%26484.62%29919949.75%10420052.00%6012448.39%2361542158316179
_Vs Division10550000028253532000001495523000001416-2100.5002850781011971411137120148633214711723613215.38%26484.62%29919949.75%10420052.00%6012448.39%2361542158316179

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1010L128507841133214711723610
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
105500002825
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5320000149
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
52300001416
Derniers 10 Matchs
WLOTWOTL SOWSOL
540100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
13215.38%26484.62%2
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
137120148611971
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
9919949.75%10420052.00%6012448.39%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2361542158316179


Derniers Match 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
2 - 2024-04-196Moose1Thunderbirds0BLSommaire du Match
4 - 2024-04-2114Moose2Thunderbirds6BWSommaire du Match
6 - 2024-04-2322Thunderbirds2Moose1AWSommaire du Match
8 - 2024-04-2530Thunderbirds4Moose3AWSommaire du Match
10 - 2024-04-2738Moose1Thunderbirds4BWSommaire du Match
16 - 2024-05-0359Thunderbirds4Wild5ALXSommaire du Match
18 - 2024-05-0563Thunderbirds1Wild3ALSommaire du Match
20 - 2024-05-0767Wild3Thunderbirds1BLSommaire du Match
22 - 2024-05-0971Wild2Thunderbirds3BWXSommaire du Match
24 - 2024-05-1175Thunderbirds3Wild4ALSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna35001500
Prix des Billets5025
Assistance17,5007,500
Assistance PCT100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
36 5000 - 100.00% 108,375$541,875$5000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 18,317,332$ 18,317,332$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 14 0$ 0$




Thunderbirds

# 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
1Gemel Smith24611118229313858433324351821.43%106351214.28122032483251015053.68%61.6705
2Jack Rathbone1641391532921909623426753825.84%257355021.651519344734781560.00%101.6412
3Noah Gregor8210911021913689311927240.07%47188222.969918234591510443.56%162.3312
4Robert Thomas688013321312787711718842.55%48156323.009716183691111156.97%92.7202
5Frederik Gauthier164861172036253715524740221.39%66283117.271017273351667355.42%51.4311

Thunderbirds

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Arturs Silovs82562110.8394.17484547337209212461300.50012
2Magnus Hellberg52341350.9332.3431304112218221069300.5004
3Stuart Skinner66224130.8704.3439696128722071318121.0003
4J-F Berube5164410.8575.6930712029120381226111.0006
5Andrew Hammond1641110.8445.479650088565339000.0000

Thunderbirds

LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
2021821720144071536-465411330133043262-219410390011028274-24616711312020409183982501712404111768713143964922693.98%1074557.94%135075646.30%35984442.54%562121846.14%248019961489501974449
20218253250201161536425141281002001318175143412515000102971891081136159671582070263203146206507216986442135806173811441796837.99%2154778.14%19636114155.74%623116953.29%854162252.65%1709108719466201274652
202282205205410278377-9941171504410156159-34133701000122218-9656278481759219880946249785481381517277499339216651593220.13%1774872.88%6671130551.42%706137151.50%581118449.07%1787110717956821360675
202382551703421331189142412880211118399844127901310148905812533153886903125103988310711441037912322856104194618141433423.78%2042687.25%12837164550.88%854163652.20%568108952.16%1879121417806551288639
Total Saison Régulière328129166011128212951466-17116474660985270069551645510002430595771-17631012952117341221522345541319984941998274226651104953335534515527270714320.23%70316676.39%382494484751.45%2542502050.64%2565511350.17%785754057012245848982417
Séries
2021624000003444-10312000001618-2312000001826-8434498300015117181058536917764697918738.89%14285.71%04110439.42%337742.86%5211943.70%13588131499746
202310550000028253532000001495523000001416-2102850781011971411137120148633214711723613215.38%26484.62%29919949.75%10420052.00%6012448.39%2361542158316179
Total Séries1679000006269-78440000030273835000003242-101462991611011241885921371782017550921118631531929.03%40685.00%214030346.20%13727749.46%11224346.09%372243347133258125

Thunderbirds

# 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
1Jack Rathbone16111223-11715247514.67%3036122.5703330112000.00%11.2700
2Gemel Smith1651217-5352419568.93%1129418.422241302201150.00%11.1500
3Kieffer Bellows661016-10662920.69%510417.47224600001050.00%03.0500
4Frederik Gauthier68816-15472040.00%411919.95224300000047.31%12.6700
5Noah Gregor68513-508122828.57%714223.80112700020075.00%01.8200

Thunderbirds

# Nom du Gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Magnus Hellberg105410.9272.366110024331197110.0000
2Arturs Silovs62210.7726.713490039171105300.0000