Connexion

Thunderbirds
GP: 80 | W: 48 | L: 30 | OTL: 2 | P: 98
GF: 318 | GA: 281 | PP%: 19.06% | PK%: 79.34%
DG: Francois Prevost | Morale : 60 | Moyenne d’équipe : 68
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Centre de jeu
Punishers
37-42-1, 75pts
4
FINAL
3 Thunderbirds
48-30-2, 98pts
Team Stats
W1SéquenceL1
22-17-1Fiche domicile25-13-2
15-25-0Fiche domicile23-17-0
7-3-0Derniers 10 matchs6-3-1
3.93Buts par match 3.98
4.29Buts contre par match 3.51
18.60%Pourcentage en avantage numérique19.06%
75.74%Pourcentage en désavantage numérique79.34%
Thunderbirds
48-30-2, 98pts
4
FINAL
6 Barracuda
46-27-7, 99pts
Team Stats
L1SéquenceW1
25-13-2Fiche domicile27-9-4
23-17-0Fiche domicile19-18-3
6-3-1Derniers 10 matchs6-3-1
3.98Buts par match 4.45
3.51Buts contre par match 4.08
19.06%Pourcentage en avantage numérique26.01%
79.34%Pourcentage en désavantage numérique80.87%
Meneurs d'équipe
Buts
Jordan Kyrou
50
Passes
Dominik Simon
66
Points
Dominik Simon
107
Plus/Moins
Joachim Blichfeld
24
Victoires
Jake Oettinger
41
Pourcentage d’arrêts
Jake Oettinger
0.895

Statistiques d’équipe
Buts pour
318
3.98 GFG
Tirs pour
2633
32.91 Avg
Pourcentage en avantage numérique
19.1%
57 GF
Début de zone offensive
38.6%
Buts contre
281
3.51 GAA
Tirs contre
2539
31.74 Avg
Pourcentage en désavantage numérique
79.3%%
63 GA
Début de la zone défensive
35.8%
Informations de l'équipe

Directeur généralFrancois Prevost
EntraîneurTeemu Selanne
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
CapitaineDominik Simon
Assistant #1Dylan Blujus
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,817
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 250
Espoirs0


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
1Dominik Simon (R) (C)X100.006640867471817183807879666164614979740241975,000$
2Pierre Engvall (R)X100.006541947078887663667464825853466164720221500,000$
3Rourke Chartier (R)X100.007433808063807279737673628257555464720221950,000$
4Dylan Sikura (R)X100.007141797575726774707371697449474770700223800,000$
5Jordan Kyrou (R)X100.006831818266756079687473618652466279700203850,000$
6Anthony Richard (R)X100.006533807467765675767666658052495379690222700,000$
7Joachim Blichfeld (R)X100.005937778360815785746768667748456779690204850,000$
8Zach Stepan (R)X100.006717847369817469647267697456503379680241500,000$
9Artturi Lehkonen (R)X100.006433758170676772696668617048484479670231500,000$
10Trent Frederic (R)X100.006427896868846759696959746442446269670202800,000$
11Emil Bemstrom (R)X100.006225797854635381627071567441416579660191500,000$
12Paul Cotter (R)X100.007133735270626568666876456642427078630192500,000$
13Dylan Blujus (R) (A)X100.007337767674687673636868766667513968710241900,000$
14Jeremy Lauzon (R)X100.005835838265697677448569766056465979710213850,000$
15Henri Jokiharju (R)X100.007130876666716663427252794746426952680191500,000$
16Sami Niku (R)X100.005737707960657875427465644252474718670223600,000$
17Frederic Allard (R)X100.006847767161686771486752756045465479670213750,000$
18Calen Addison (R)X100.005330757152476173327150593840407519590182500,000$
Rayé
1Trey Fix-Wolansky (R)X100.004237667555686079576063597541427720620192500,000$
2Rasmus Kupari (R)X100.005334767748564875685763497340408420610182500,000$
3Grigori Denisenko (R)X100.007447586574557164426768495240408619610182500,000$
4Nathan Smith (R)X100.005739757648555568585964466744436820600202500,000$
5Ethan Bear (R)X97.327131838067737881528467755966455761730212900,000$
6Matt Roy (R)X98.376449817274746077577267735856524741700231900,000$
MOYENNE D’ÉQUIPE99.82643578746570667360716665655046605867
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
1Jake Oettinger100.00885874858964628177688950467571740201500,000$
2Magnus Hellberg100.00736468747270676974717368632879700271750,000$
Rayé
1Emil Larmi100.00715872535978776455746443436420650223500,000$
MOYENNE D’ÉQUIPE100.0077607171737169716971755451565770
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Teemu Selanne77697390877445Fin411650,000$


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
1Dominik SimonThunderbirds (Stl)LW804166107212751278535310519911.61%45166220.78111728482680112504457.14%1476045001.2900001687
2Rourke ChartierThunderbirds (Stl)C69355994224801401282087814316.83%31137019.877192636229000035050.97%19682919011.3724000863
3Jordan KyrouThunderbirds (Stl)RW8050429254401196730911918816.18%29130016.2610162645267000009454.55%777523031.4114000926
4Joachim BlichfeldThunderbirds (Stl)RW80384684247201397727510117613.82%35151718.97591426207000004242.31%1045328041.1113000663
5Anthony RichardThunderbirds (Stl)C8028366433801421112005711614.00%30131816.4861016182120000194352.63%10452920010.9703000434
6Jeremy LauzonThunderbirds (Stl)D801945641330089148162676211.73%104199925.0010818332960112174240%05458000.6400000623
7Ethan BearThunderbirds (Stl)D75347501234011013313660702.21%112194025.8711011302720113211100%04452000.5200000110
8Dylan SikuraThunderbirds (Stl)RW80212243318011666170649612.35%25101712.710000111281223153.33%452513000.8500000211
9Artturi LehkonenThunderbirds (Stl)LW801822401034095671353911013.33%1797512.200001112023873146.15%392524010.8200000342
10Pierre EngvallThunderbirds (Stl)LW711323361920919291315314.29%33124717.58134284112112333153.13%641030000.5800000012
11Dylan BlujusThunderbirds (Stl)D7843034156001261349043484.44%94159420.440000110007207100%02542000.4302000002
12Zach StepanThunderbirds (Stl)C80112031108098105106266410.38%30104213.040000411241300151.06%5661623000.5900000013
13Henri JokiharjuThunderbirds (Stl)D60217191416055754018155.00%91124420.7504441430220201000%0531000.3100000010
14Emil BemstromThunderbirds (Stl)RW80413170220363610736733.74%116037.5520227000000042.86%14327000.5600000002
15Matt RoyThunderbirds (Stl)D6259147255635648193010.42%60100516.212134149000016200%01643000.2800001011
16Trent FredericThunderbirds (Stl)C789413300678561183014.75%3688811.4000002010132631046.89%610621000.2900000201
17Paul CotterThunderbirds (Stl)LW787411-3440932841132317.07%57459.561013120000031033.33%1576000.3000000000
18Sami NikuThunderbirds (Stl)D3901010228038483815190%3076319.57000496000068000%0621000.2600000010
19Rasmus KupariThunderbirds (Stl)C13459260461941121.05%314711.38112336000051043.97%11620001.2200000021
20Frederic AllardThunderbirds (Stl)D802681152051623215226.25%6395811.9900004000069000%0420000.1700000001
21Grigori DenisenkoThunderbirds (Stl)LW12055-11001784170%315012.5401102100000000%211000.6600000000
22Calen AddisonThunderbirds (Stl)D61232602662216.67%311719.5800001000009100%021000.5100000000
Statistiques d’équipe totales ou en moyenne144131553384819462410181816232631931155711.97%8902361216.39579915625924786814431879452150.62%48125265280100.72416002474042
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
1Jake OettingerThunderbirds (Stl)68412020.8953.3237250120619581056210.923136515152
2Magnus HellbergThunderbirds (Stl)2771000.8763.921103007257928311001565001
Statistiques d’équipe totales ou en moyenne95483020.8903.454829012782537133932138080153


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 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
Anthony RichardThunderbirds (Stl)C221996-01-01Yes163 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm700,000$3,483$0$0$No800,000$--------No--------
Artturi LehkonenThunderbirds (Stl)LW231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Calen AddisonThunderbirds (Stl)D182000-01-01Yes173 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Dominik SimonThunderbirds (Stl)LW241994-01-01Yes190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm975,000$4,851$0$0$No------------------
Dylan BlujusThunderbirds (Stl)D241994-01-01Yes191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Dylan SikuraThunderbirds (Stl)RW221996-01-01Yes166 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm800,000$3,980$0$0$No850,000$950,000$-------NoNo-------
Emil BemstromThunderbirds (Stl)RW191999-01-01Yes193 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Emil LarmiThunderbirds (Stl)G221996-01-01No185 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm500,000$2,488$0$0$No600,000$700,000$-------NoNo-------
Ethan BearThunderbirds (Stl)D211997-01-01Yes197 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm900,000$4,478$0$0$No1,200,000$--------No--------
Frederic AllardThunderbirds (Stl)D211997-01-01Yes179 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm750,000$3,731$0$0$No750,000$750,000$-------NoNo-------
Grigori DenisenkoThunderbirds (Stl)LW182000-01-01Yes186 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Henri JokiharjuThunderbirds (Stl)D191999-01-01Yes200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jake OettingerThunderbirds (Stl)G201998-01-01No220 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jeremy LauzonThunderbirds (Stl)D211997-01-01Yes204 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm850,000$4,229$0$0$No850,000$850,000$-------NoNo-------
Joachim BlichfeldThunderbirds (Stl)RW201998-01-01Yes187 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm850,000$4,229$0$0$No990,000$1,500,000$2,200,000$------NoNoNo------
Jordan KyrouThunderbirds (Stl)RW201998-01-01Yes174 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm850,000$4,229$0$0$No990,000$1,500,000$-------NoNo-------
Magnus HellbergThunderbirds (Stl)G271991-01-01No185 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,731$0$0$No------------------
Matt RoyThunderbirds (Stl)D231995-01-01Yes200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Nathan SmithThunderbirds (Stl)C201998-01-01Yes177 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Paul CotterThunderbirds (Stl)LW191999-01-01Yes212 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Pierre EngvallThunderbirds (Stl)LW221996-01-01Yes215 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Rasmus KupariThunderbirds (Stl)C182000-01-01Yes200 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Rourke ChartierThunderbirds (Stl)C221996-01-01Yes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm950,000$4,726$0$0$No------------------
Sami NikuThunderbirds (Stl)D221996-01-01Yes176 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm600,000$2,985$0$0$No800,000$800,000$-------NoNo-------
Trent FredericThunderbirds (Stl)C201998-01-01Yes203 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No800,000$--------No--------
Trey Fix-WolanskyThunderbirds (Stl)RW191999-01-01Yes186 Lbs5 ft7NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Zach StepanThunderbirds (Stl)C241994-01-01Yes165 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2721.11189 Lbs6 ft11.89669,444$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik SimonRourke ChartierJoachim Blichfeld40122
2Pierre EngvallAnthony RichardJordan Kyrou30122
3Artturi LehkonenZach StepanDylan Sikura20122
4Paul CotterTrent FredericEmil Bemstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy LauzonSami Niku40122
2Dylan BlujusHenri Jokiharju30122
3Frederic AllardCalen Addison20122
4Sami NikuDylan Blujus10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik SimonRourke ChartierJordan Kyrou60122
2Pierre EngvallAnthony RichardJoachim Blichfeld40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuJeremy Lauzon60122
2Henri JokiharjuCalen Addison40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Trent FredericPierre Engvall60122
2Zach StepanDylan Sikura40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami NikuHenri Jokiharju60122
2Dylan BlujusJeremy Lauzon40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Trent Frederic60122Henri JokiharjuDylan Blujus60122
2Pierre Engvall40122Jeremy LauzonSami Niku40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rourke ChartierDominik Simon60122
2Zach StepanPierre Engvall40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonSami Niku60122
2Dylan BlujusJeremy Lauzon40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik SimonRourke ChartierJoachim BlichfeldJeremy LauzonSami Niku
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pierre EngvallTrent FredericDylan SikuraSami NikuHenri Jokiharju
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dominik Simon, Dylan Sikura, Zach StepanTrent Frederic, Jordan KyrouArtturi Lehkonen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Blujus, Calen Addison, Henri JokiharjuSami NikuFrederic Allard, Calen Addison
Tirs de pénalité
Jordan Kyrou, Rourke Chartier, Anthony Richard, Joachim Blichfeld, Dylan Sikura
Gardien
#1 : Jake Oettinger, #2 : Magnus Hellberg
Lignes d’attaque personnalisées en prolongation
Dominik Simon, Pierre Engvall, Rourke Chartier, Jordan Kyrou, Dylan Sikura, Anthony Richard, Anthony Richard, Joachim Blichfeld, Zach Stepan, Artturi Lehkonen, Paul Cotter
Lignes de défense personnalisées en prolongation
Sami Niku, Dylan Blujus, Jeremy Lauzon, Calen Addison, Henri Jokiharju


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
1Admirals21001000963110000004221000100054141.00091726007812011386382296483228562022514125.00%12283.33%0962184552.14%869171150.79%606122949.31%176299916497361419715
2Americans3120000078-1211000006421010000014-320.3337132000781201138101822964832289032267010110.00%130100.00%0962184552.14%869171150.79%606122949.31%176299916497361419715
3Barracuda312000001117-61100000054120200000613-720.333111627007812011389982296483228924022601417.14%11645.45%1962184552.14%869171150.79%606122949.31%176299916497361419715
4Bears32000010211471000001087122000000137661.00021365700781201138104822964832281093520807342.86%10460.00%0962184552.14%869171150.79%606122949.31%176299916497361419715
5Canucks63201000282533210000015123311010001313080.667284775007812011381968229648322819651549833618.18%27677.78%1962184552.14%869171150.79%606122949.31%176299916497361419715
6Checkers31200000810-21010000023-12110000067-120.3338111900781201138100822964832281003322739222.22%11190.91%0962184552.14%869171150.79%606122949.31%176299916497361419715
7Comets43000010198112200000013582100001063381.00019294800781201138137822964832281285328796233.33%15380.00%0962184552.14%869171150.79%606122949.31%176299916497361419715
8Condors220000001055110000004311100000062441.000101727007812011387682296483228602710477114.29%5180.00%0962184552.14%869171150.79%606122949.31%176299916497361419715
9Crunch30300000418-141010000025-320200000213-1100.000471100781201138838229648322884233158700.00%13653.85%0962184552.14%869171150.79%606122949.31%176299916497361419715
10Eagles31200000912-32110000078-11010000024-220.333915240078120113894822964832281073224721317.69%12375.00%0962184552.14%869171150.79%606122949.31%176299916497361419715
11Griffins20200000311-81010000028-61010000013-200.00035800781201138518229648322874181648800.00%8275.00%0962184552.14%869171150.79%606122949.31%176299916497361419715
12Icehogs211000005501010000013-21100000042220.5005712007812011386582296483228632884312325.00%40100.00%1962184552.14%869171150.79%606122949.31%176299916497361419715
13Islander33000000199102200000012571100000074361.0001931500078120113898822964832289642265917635.29%13376.92%0962184552.14%869171150.79%606122949.31%176299916497361419715
14Little Stars743000002728-14310000014131312000001315-280.5712746730078120113823782296483228237916415435720.00%32681.25%0962184552.14%869171150.79%606122949.31%176299916497361419715
15Marlies41100011191812100000110912010001099050.625193453007812011381298229648322813142269817529.41%14378.57%0962184552.14%869171150.79%606122949.31%176299916497361419715
16Moose22000000862110000005411100000032141.00081321007812011387382296483228521312485240.00%6183.33%0962184552.14%869171150.79%606122949.31%176299916497361419715
17Penguins311010001394110000007252010100067-140.6671320330078120113892822964832289932258314535.71%100100.00%0962184552.14%869171150.79%606122949.31%176299916497361419715
18Phantoms22000000945110000005231100000042241.00091524007812011387382296483228762016385120.00%80100.00%0962184552.14%869171150.79%606122949.31%176299916497361419715
19Punishers84300100302284210010017107422000001312190.5633052821078120113827782296483228235856420131412.90%32584.38%1962184552.14%869171150.79%606122949.31%176299916497361419715
20Reign220000001046110000006151100000043141.000101828007812011387182296483228692412506233.33%6183.33%0962184552.14%869171150.79%606122949.31%176299916497361419715
21Rocket31200000121201010000035-22110000097220.333121830107812011388482296483228994128657114.29%14285.71%0962184552.14%869171150.79%606122949.31%176299916497361419715
22Senators20101000910-11010000035-21000100065120.50091726007812011386282296483228641914367114.29%7271.43%1962184552.14%869171150.79%606122949.31%176299916497361419715
23Silver Knights330000001358220000009451100000041361.0001321340078120113810682296483228762716667114.29%8187.50%0962184552.14%869171150.79%606122949.31%176299916497361419715
24Wolfpack312000001011-1211000005411010000057-220.3331016260178120113810582296483228884222761000.00%11554.55%0962184552.14%869171150.79%606122949.31%176299916497361419715
25Wranglers211000005411010000002-21100000052320.500581300781201138578229648322858196608112.50%30100.00%1962184552.14%869171150.79%606122949.31%176299916497361419715
Total80413004131318281374024130011116513035401717040201531512980.61331852984721781201138263382296483228253988961418132995719.06%3056379.34%6962184552.14%869171150.79%606122949.31%176299916497361419715
_Since Last GM Reset80413004131318281374024130011116513035401717040201531512980.61331852984721781201138263382296483228253988961418132995719.06%3056379.34%6962184552.14%869171150.79%606122949.31%176299916497361419715
_Vs Conference492618021202011713025167001101117833241011020109093-3610.62220133153211781201138162982296483228155554639610991893719.58%1944377.84%2962184552.14%869171150.79%606122949.31%176299916497361419715
_Vs Division21118011008575101173001004635111045010003940-1250.595851452301078120113871082296483228668227182453991717.17%911781.32%2962184552.14%869171150.79%606122949.31%176299916497361419715

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8098L131852984726332539889614181321
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8041304131318281
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4024130111165130
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4017174020153151
Derniers 10 matchs
WLOTWOTL SOWSOL
530110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2995719.06%3056379.34%6
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
82296483228781201138
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
962184552.14%869171150.79%606122949.31%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
176299916497361419715


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
12Little Stars6Thunderbirds1LSommaire du match
315Thunderbirds6Punishers2WR1Sommaire du match
529Thunderbirds4Punishers1WSommaire du match
741Thunderbirds8Little Stars4WSommaire du match
848Little Stars3Thunderbirds5WSommaire du match
1266Punishers4Thunderbirds2LR1Sommaire du match
1689Canucks3Thunderbirds5WSommaire du match
19103Thunderbirds4Canucks3WXSommaire du match
21115Eagles3Thunderbirds1LSommaire du match
25132Punishers1Thunderbirds6WR1Sommaire du match
27146Thunderbirds4Comets2WSommaire du match
29155Thunderbirds6Bears4WSommaire du match
31166Canucks2Thunderbirds5WSommaire du match
35186Wolfpack4Thunderbirds2LSommaire du match
37197Thunderbirds4Rocket1WSommaire du match
40212Rocket5Thunderbirds3LSommaire du match
44232Thunderbirds5Wranglers2WSommaire du match
45241Icehogs3Thunderbirds1LSommaire du match
51262Americans3Thunderbirds2LSommaire du match
54277Thunderbirds5Wolfpack7LSommaire du match
56288Phantoms2Thunderbirds5WSommaire du match
59301Thunderbirds4Canucks3WSommaire du match
61314Marlies6Thunderbirds5LXXSommaire du match
63325Thunderbirds4Checkers1WSommaire du match
65338Thunderbirds6Senators5WXSommaire du match
66345Canucks7Thunderbirds5LSommaire du match
70365Americans1Thunderbirds4WSommaire du match
74390Little Stars1Thunderbirds4WSommaire du match
76398Thunderbirds2Comets1WXXSommaire du match
78407Thunderbirds6Condors2WSommaire du match
80416Thunderbirds1Griffins3LSommaire du match
82424Crunch5Thunderbirds2LSommaire du match
84440Thunderbirds4Phantoms2WSommaire du match
86447Checkers3Thunderbirds2LSommaire du match
88462Thunderbirds7Bears3WSommaire du match
90469Thunderbirds2Eagles4LSommaire du match
92479Griffins8Thunderbirds2LSommaire du match
94490Thunderbirds5Canucks7LSommaire du match
96504Bears7Thunderbirds8WXXSommaire du match
98511Thunderbirds3Little Stars5LSommaire du match
100525Thunderbirds5Admirals4WXSommaire du match
101535Senators5Thunderbirds3LSommaire du match
104548Thunderbirds2Punishers6LR1Sommaire du match
106558Thunderbirds4Reign3WSommaire du match
107566Wranglers2Thunderbirds0LSommaire du match
112587Islander3Thunderbirds7WSommaire du match
114598Thunderbirds4Icehogs2WSommaire du match
116609Thunderbirds5Penguins4WXSommaire du match
117617Comets2Thunderbirds4WSommaire du match
121636Thunderbirds5Rocket6LSommaire du match
122643Admirals2Thunderbirds4WSommaire du match
125660Thunderbirds2Little Stars6LSommaire du match
127670Punishers1Thunderbirds6WR1Sommaire du match
128681Thunderbirds1Punishers3LSommaire du match
131696Wolfpack0Thunderbirds3WSommaire du match
134709Thunderbirds1Penguins3LSommaire du match
136721Marlies3Thunderbirds5WSommaire du match
138730Thunderbirds1Americans4LSommaire du match
140745Penguins2Thunderbirds7WSommaire du match
142759Thunderbirds2Checkers6LSommaire du match
143765Thunderbirds3Moose2WSommaire du match
145777Reign1Thunderbirds6WSommaire du match
148797Islander2Thunderbirds5WSommaire du match
152813Thunderbirds1Crunch8LSommaire du match
155825Little Stars3Thunderbirds4WSommaire du match
157836Thunderbirds7Islander4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159846Thunderbirds4Silver Knights1WSommaire du match
161854Eagles5Thunderbirds6WSommaire du match
163865Thunderbirds1Crunch5LSommaire du match
166879Comets3Thunderbirds9WSommaire du match
170902Moose4Thunderbirds5WSommaire du match
175924Barracuda4Thunderbirds5WSommaire du match
179946Condors3Thunderbirds4WSommaire du match
182967Silver Knights2Thunderbirds3WSommaire du match
183975Thunderbirds5Marlies4WXXSommaire du match
186987Thunderbirds2Barracuda7LSommaire du match
188996Thunderbirds4Marlies5LSommaire du match
1901006Silver Knights2Thunderbirds6WSommaire du match
1961022Punishers4Thunderbirds3LXR1Sommaire du match
1991037Thunderbirds4Barracuda6LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance75,10937,582
Assistance PCT93.89%93.96%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2817 - 93.91% 177,474$7,098,955$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,466,006$ 1,807,500$ 1,755,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,993$ 1,798,048$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 12,226$ 12,226$




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