Thunderbirds
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jean-Francois Chouinard | Morale : 40 | Moyenne d'Équipe : 64
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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
1Daultan Leveillé (R)X100.007526777077807473707080727165533137720261995,000$
2Quinton Howden (R)X100.007436767671717476667668677052474340700241600,000$
3Kerby Rychel (R)X100.008249707574587975666871636951475240690222800,000$
4Jerry D'Amigo (R)X100.006734797169796866687270676753493540680252800,000$
5Valentin Zykov (R)X100.006826817769776871606878576849445328680211650,000$
6Christian Fischer (R)X100.007133786183696466667085506344427333670191500,000$
7Ryan Lomberg (R)X100.008346697185537570557272615347515540670222500,000$
8Tom Kuhnhackl (R)X100.006431757471697170636667667148463640660242700,000$
9Mitchell Heard (R)X100.007332677174586762567170675848503440650242500,000$
10Jean-Sebastien Dea (R)X100.006445757164736865706074586947506340650222500,000$
11Matt Puempel (R)X100.006738786968666864636469527047475140640233550,000$
12Nicklas Jensen (R)X100.006153786566677271676766556545454540640231550,000$
13Michael McCarron (R)X100.007544656678558063656764496444445140630211500,000$
14Roberts Lipsbergs (R)X100.006930726273696564746466546746474640630221500,000$
15Tanner Laczynski (R)X100.005035777453654769626964567743436736620192500,000$
16Kyle Platzer (R)X100.004236696644665374576562598043434340610211500,000$
17Calvin Thurkauf (R)X100.007550656365487764516360505141436540590192500,000$
18Lukas Vejdemo (R)X100.004430766453635551615555535143435140550201500,000$
19Connor Honey (R)X100.006759615470627744574549475743434540530211500,000$
20Michal Jordan (R)X100.006824807373757072597469686571603340700261600,000$
21Niklas Hansson (R)X100.007016797465767461447350855356444840700211500,000$
22John Draeger (R)X100.006722757272686959437061825754494140690231500,000$
23Viktor Baldayev (R)X100.007049686375646965416047724744434840650211500,000$
24Jake Walman (R)X100.006033816870686055355841723742425840630203600,000$
25Keaton Thompson (R)X100.005739687159576962457158705544435040630211500,000$
26Nelson Nogier (R)X100.006538726164656156366455684442425340620202600,000$
Rayé
1Artur Kayumov (R)X100.006144745052585356495854496440407840540184800,000$
2Dmytro Timashov (R)X100.004826674948475762566642445343435240510201500,000$
MOYENNE D'ÉQUIPE100.00663773676765676557666361614846503964
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 SP
1Garret Sparks100.00727186626570795764806949474440680
2Artyom Zagidulin (R)100.00615456705849484949525840407740520
Rayé
MOYENNE D'ÉQUIPE100.0067637166626064535766644544614060
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pavel Bure54607666334563RUS464800,000$


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
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


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 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
Artur KayumovThunderbirds (Flo)LW181998-01-01Yes176 Lbs5 ft11NoNoNo4Pro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$
Artyom ZagidulinThunderbirds (Flo)G211995-01-01Yes181 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Calvin ThurkaufThunderbirds (Flo)C191997-01-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Christian FischerThunderbirds (Flo)RW191997-01-01Yes214 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$No
Connor HoneyThunderbirds (Flo)RW211995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Daultan LeveilléThunderbirds (Flo)C261990-01-01Yes175 Lbs6 ft0NoNoNo1Pro & Farm995,000$995,000$0$0$No
Dmytro TimashovThunderbirds (Flo)LW201996-01-01Yes192 Lbs5 ft10NoNoNo1Pro & Farm500,000$500,000$0$0$No
Garret SparksThunderbirds (Flo)G231993-01-01No207 Lbs6 ft2NoNoNo1Pro & Farm999,999$999,999$0$0$No
Jake WalmanThunderbirds (Flo)D201996-01-01Yes180 Lbs6 ft0NoNoNo3Pro & Farm600,000$600,000$0$0$No600,000$600,000$
Jean-Sebastien DeaThunderbirds (Flo)C221994-01-01Yes168 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Jerry D'AmigoThunderbirds (Flo)RW251991-01-01Yes208 Lbs5 ft11NoNoNo2Pro & Farm800,000$800,000$0$0$No850,000$
John DraegerThunderbirds (Flo)D231993-01-01Yes186 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Keaton ThompsonThunderbirds (Flo)D211995-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$No
Kerby RychelThunderbirds (Flo)LW221994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm800,000$800,000$0$0$No900,000$
Kyle PlatzerThunderbirds (Flo)C211995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$No
Lukas VejdemoThunderbirds (Flo)C201996-01-01Yes194 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$No
Matt PuempelThunderbirds (Flo)LW231993-01-01Yes190 Lbs6 ft0NoNoNo3Pro & Farm550,000$550,000$0$0$No600,000$600,000$
Michael McCarronThunderbirds (Flo)RW211995-01-01Yes185 Lbs6 ft5NoNoNo1Pro & Farm500,000$500,000$0$0$No
Michal JordanThunderbirds (Flo)D261990-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm600,000$600,000$0$0$No
Mitchell HeardThunderbirds (Flo)C241992-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Nelson NogierThunderbirds (Flo)D201996-01-01Yes191 Lbs6 ft2NoNoNo2Pro & Farm600,000$600,000$0$0$No600,000$
Nicklas JensenThunderbirds (Flo)RW231993-01-01Yes186 Lbs6 ft3NoNoNo1Pro & Farm550,000$550,000$0$0$No
Niklas HanssonThunderbirds (Flo)D211995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Quinton HowdenThunderbirds (Flo)C241992-01-01Yes189 Lbs6 ft2NoNoNo1Pro & Farm600,000$600,000$0$0$No
Roberts LipsbergsThunderbirds (Flo)LW221994-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$No
Ryan LombergThunderbirds (Flo)LW221994-01-01Yes196 Lbs5 ft9NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Tanner LaczynskiThunderbirds (Flo)C191997-01-01Yes205 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Tom KuhnhacklThunderbirds (Flo)RW241992-01-01Yes196 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$
Valentin ZykovThunderbirds (Flo)LW211995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm650,000$650,000$0$0$No
Viktor BaldayevThunderbirds (Flo)D211995-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3021.73190 Lbs6 ft11.57591,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Quinton HowdenJerry D'Amigo40122
2Kerby RychelJean-Sebastien DeaTom Kuhnhackl30122
3Ryan LombergMitchell HeardNicklas Jensen20122
4Matt PuempelTanner LaczynskiMichael McCarron10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas HanssonMichal Jordan40122
2John DraegerViktor Baldayev30122
3Keaton ThompsonJake Walman20122
4Nelson NogierNiklas Hansson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Quinton HowdenJerry D'Amigo60122
2Kerby RychelJean-Sebastien DeaTom Kuhnhackl40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas HanssonMichal Jordan60122
2John DraegerViktor Baldayev40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Quinton Howden60122
2Kerby RychelJerry D'Amigo40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas HanssonMichal Jordan60122
2John DraegerViktor Baldayev40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Niklas HanssonMichal Jordan60122
2Quinton Howden40122John DraegerViktor Baldayev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Quinton Howden60122
2Kerby RychelJerry D'Amigo40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas HanssonMichal Jordan60122
2John DraegerViktor Baldayev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Quinton HowdenJerry D'AmigoNiklas HanssonMichal Jordan
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Quinton HowdenJerry D'AmigoNiklas HanssonMichal Jordan
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Roberts Lipsbergs, Kyle Platzer, Roberts Lipsbergs, Kyle Platzer
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Keaton Thompson, Jake Walman, Nelson NogierKeaton ThompsonJake Walman, Nelson Nogier
Tirs de Pénalité
, Quinton Howden, Kerby Rychel, Jerry D'Amigo, Ryan Lomberg
Gardien
#1 : Garret Sparks, #2 : Artyom Zagidulin


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,774,500$ 1,555,000$ 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$ 0 0$ 0$




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