SPRINGFIELD Thunderbirds
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Dom Mailloux | Morale : 99 | Moyenne d’équipe : 66
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Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
nan GFG
Tirs pour
0
nan Avg
Pourcentage en avantage numérique
nan%
0 GF
Début de zone offensive
nan%
Buts contre
0
nan GAA
Tirs contre
0
nan Avg
Pourcentage en désavantage numérique
nan%
0 GA
Début de la zone défensive
nan%
Information d’équipe

Directeur généralDom Mailloux
EntraîneurDoug Weight
DivisionFrenette
ConférenceConference A
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistancenan
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 55
Espoirs7


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique47-22-6 (0.627%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)2-4
Stanley Cup0


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
1Jordan NolanXXX100.0078557157878893576058576157807230997003121,000,000$
2Jaret Anderson-DolanXX100.008035946870818266726468636562637499700202750,000$
3Kyle CliffordX100.0079867462837289615964635663787062996902921,600,000$
4Rhett GardnerX100.008236916288727663756261566269655799680245925,000$
5Taro HiroseX100.005735946663847367596861586769654299670242750,000$
6Emile PoirierXX100.007156705880828756535557565473676999660252750,000$
7Ty RattieX100.006935766671776365606663606454517399650272750,000$
8Anthony RichardX100.005035956663737765756163596469675899650232750,000$
9Hudson ElynuikX100.007958685488768154575655595567646499650222750,000$
10Robin Kovacs (R)X100.004635797665464953305047525354509599540232750,000$
11Riley StillmanX100.008543836577848167306558735065635999710222900,000$
12William BorgenX100.008339875884878057305854644769656099680235875,000$
13Casey FitzgeraldX100.007760636571847663306156695367646299680232750,000$
14Rinat ValievX100.007746815686818654305753624571666399670252750,000$
Rayé
1Michael MerschX100.0074557160838186586259606356777251996902700$
2Cole BardreauX100.0078438164687981637661625960757236996802700$
3Ryan HaggertyXX100.0065387856748287545553575654756836996502700$
4Dillon SimpsonX100.0072378862817984593061586253757152996902700$
5Logan StanleyX100.007986715999878558306156634865638299690226900,000$
6Stepan Falkovsky (R)X100.0067427250935061533040366053505044995402300$
7Luc SnuggerudX100.0052427350665057563045386055505044995202400$
MOYENNE D’ÉQUIPE100.00714779617876785949585661566764589966
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
1Jonas Johansson100.00768881937574767574767571756499700
2Reto Berra100.00746982887577757575737156654799670
Rayé
MOYENNE D’ÉQUIPE100.0075798291757676757575736470569969
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight74717474767670USA521400,000$


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 restantSalaire moyenSalaire moyen restantPlafond salarial 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 10Link
Anthony RichardSPRINGFIELD Thunderbirds (FLO)C2320/12/1996No74 Kg178 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Casey FitzgeraldSPRINGFIELD Thunderbirds (FLO)D2325/02/1997No85 Kg180 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Cole BardreauSPRINGFIELD Thunderbirds (FLO)C2722/07/1993No84 Kg178 CMNoNoNo0Pro & Farm0$0$NoLien
Dillon SimpsonSPRINGFIELD Thunderbirds (FLO)D2710/02/1993No93 Kg188 CMNoNoNo0Pro & Farm0$0$NoLien
Emile PoirierSPRINGFIELD Thunderbirds (FLO)LW/RW2514/12/1994No89 Kg188 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Hudson ElynuikSPRINGFIELD Thunderbirds (FLO)C2212/10/1997No88 Kg196 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Jaret Anderson-DolanSPRINGFIELD Thunderbirds (FLO)C/LW2012/09/1999No85 Kg180 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Jonas JohanssonSPRINGFIELD Thunderbirds (FLO)G2419/09/1995No100 Kg196 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Jordan NolanSPRINGFIELD Thunderbirds (FLO)C/LW/RW3123/06/1989No100 Kg191 CMNoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Kyle CliffordSPRINGFIELD Thunderbirds (FLO)LW2913/01/1991No96 Kg188 CMNoNoNo2Pro & Farm1,600,000$1,600,000$1,600,000$1,600,000$0$0$No1,600,000$Lien
Logan StanleySPRINGFIELD Thunderbirds (FLO)D2226/05/1998No104 Kg201 CMNoNoNo6Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$900,000$900,000$900,000$900,000$Lien
Luc SnuggerudSPRINGFIELD Thunderbirds (FLO)D2418/09/1995No84 Kg183 CMNoNoNo0Pro & Farm0$0$NoLien
Michael MerschSPRINGFIELD Thunderbirds (FLO)LW2702/10/1992No97 Kg188 CMNoNoNo0Pro & Farm0$0$NoLien
Reto BerraSPRINGFIELD Thunderbirds (FLO)G3303/01/1987No99 Kg193 CMNoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$Lien
Rhett GardnerSPRINGFIELD Thunderbirds (FLO)C2428/02/1996No102 Kg191 CMNoNoNo5Pro & Farm925,000$925,000$750,000$750,000$0$0$No925,000$925,000$925,000$925,000$Lien
Riley StillmanSPRINGFIELD Thunderbirds (FLO)D2209/03/1998No89 Kg185 CMNoNoNo2Pro & Farm900,000$900,000$750,000$750,000$0$0$No900,000$Lien
Rinat ValievSPRINGFIELD Thunderbirds (FLO)D2511/05/1995No98 Kg191 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Robin KovacsSPRINGFIELD Thunderbirds (FLO)LW2316/11/1996Yes80 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$
Ryan HaggertySPRINGFIELD Thunderbirds (FLO)C/RW2704/03/1993No91 Kg183 CMNoNoNo0Pro & Farm0$0$NoLien
Stepan FalkovskySPRINGFIELD Thunderbirds (FLO)D2318/12/1996Yes102 Kg201 CMNoNoNo0Pro & Farm0$0$NoLien
Taro HiroseSPRINGFIELD Thunderbirds (FLO)LW2430/06/1996No74 Kg178 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Ty RattieSPRINGFIELD Thunderbirds (FLO)RW2705/02/1993No83 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
William BorgenSPRINGFIELD Thunderbirds (FLO)D2319/12/1996No93 Kg191 CMNoNoNo5Pro & Farm875,000$875,000$750,000$750,000$0$0$No875,000$875,000$875,000$875,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.0091 Kg188 CM1.91639,130$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
131122
2Emile PoirierTy Rattie26122
3Robin KovacsAnthony Richard23122
4Hudson Elynuik20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
131122
2Rinat Valiev26122
3Casey Fitzgerald23122
420122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
2Emile PoirierTy Rattie45122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Rinat Valiev45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Rinat Valiev45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
245122Rinat Valiev45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Rinat Valiev45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Anthony Richard, Hudson Elynuik, Anthony Richard, Hudson Elynuik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Casey Fitzgerald, Casey Fitzgerald,
Tirs de pénalité
, , , , Emile Poirier
Gardien
#1 : Jonas Johansson, #2 :
Lignes d’attaque personnalisées en prolongation
, , , , Emile Poirier, Ty Rattie, Ty Rattie, Anthony Richard, Hudson Elynuik, , Robin Kovacs
Lignes de défense personnalisées en prolongation
, , Rinat Valiev, ,


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

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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 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



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%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,470,000$ 1,425,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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
Saison régulière
3680422204912304205994022130130114610739402090361115898601053045008041913486798313310551040101047288286540914802014622.89%1712485.96%3994258838.41%1015291734.80%442119437.02%191214312046507878429
Total Saison régulière80422204912304205994022130130114610739402090361115898601053045008041913486798313310551040101047288286540914802014622.89%1712485.96%3994258838.41%1015291734.80%442119437.02%191214312046507878429
Séries éliminatoires
36624000001320-73210000088030300000512-74132033006430194735665029177381001218.33%19384.21%05620627.18%6530321.45%218325.30%12692172366129
Total Séries éliminatoires624000001320-73210000088030300000512-74132033006430194735665029177381001218.33%19384.21%05620627.18%6530321.45%218325.30%12692172366129