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Springfield Thunderbirds
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Jason Besancenez | Morale : 1 | Moyenne d’équipe : 57
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJason Besancenez
EntraîneurAdam Oates
DivisionMidwest Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,650


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 65
Espoirs52


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
1Jeffrey Viel0X100.00666952697069676545616062655550057600262775,000$
2Graeme Clarke (R)0XX100.00604470716062616643636160665050034590222850,833$
3Mike McCarron0XX100.00889958666056616379555765504545079580281775,000$
4Otto Koivula (R)0X100.00685066607364636257605661605250038580252775,000$
5Lucas Lessio0X100.008945686759536563585558629047470415803011,100,000$
6J.C. Lipon0X100.00593575796568674648515054466048031550301775,000$
7Corey Tropp0XX100.00653575695867705549545449466048037550341775,000$
8Danick Martel0X100.00535067665567666141565452615750040550291775,000$
9Riley Sutter (R)0X100.00645062606962625954535255575150040540242775,000$
10Oscar Lindberg0XX100.00583575735570685154535445536048037540321775,000$
11Daniel Zaar0X100.00653575735669695346514853466048040540292775,000$
12Timur Ibragimov (R)0X100.00614468666359565540515257575050040540232813,333$
13Ryan Fitzgerald0XX100.00554068655763625640545455585650034540291775,000$
14Zack Phillips0X100.00503575756568695147554948456048043540311775,000$
15Nikolay Goldobin0XX100.00513575755368654550544654546048037530281775,000$
16Justin Almeida (R)0XX100.00593575726366675045454949546048040530241809,167$
17Tomas Jurco0X100.00503575745466685354515048506048040530311900,000$
18CJ Smith0X100.00555555555555555555555555555555036520291988,000$
19Carl Soderberg0X100.00543575726368654748504846466048040520381900,000$
20Stephen Johns0X100.00913579837367706440526472407068041680311950,000$
21Victor Soderstrom (R)0X100.00594866737478666740665865665752037620223863,333$
22Tyler Lewington0X100.00504360826267695740405065406860042600291980,000$
23Mac Hollowell (R)0X100.00564466715562595940595164605250029570252775,000$
24Michal Jordan0X100.00563575686062705552455450407358037550331775,000$
25Nikita Nesterov0X100.00523575685558705449514552407358042550301875,000$
Rayé
MOYENNE D’ÉQUIPE100.0061446970616565564954535654585104056
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
1Chris Driedger0100.00757067747271717271717066590426802923,500,000$
2Jakub Skarek (R)0100.0069636768686870676968575150037640241775,000$
Rayé
1Antoine Bibeau0100.0071666567676567646567655952020630291900,000$
MOYENNE D’ÉQUIPE100.007266667069686968686964595403365
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Oates80808080808080CAN6515950,000$


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 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 Type Salaire actuel Plafond 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
Antoine BibeauSpringfield Thunderbirds (STL)G295/1/1994No205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------
CJ SmithSpringfield Thunderbirds (STL)LW2912/1/1994 11:31:04 AMNo185 Lbs5 ft11NoNoN/ANoNo1Pro & Farm988,000$0$0$No------------------
Carl SoderbergSpringfield Thunderbirds (STL)C3810/12/1985No210 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Chris DriedgerSpringfield Thunderbirds (STL)G295/18/1994No207 Lbs6 ft4NoNoN/ANoNo2Pro & Farm3,500,000$0$0$No3,500,000$--------No--------
Corey TroppSpringfield Thunderbirds (STL)LW/RW347/25/1989No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Danick MartelSpringfield Thunderbirds (STL)LW2912/12/1994No176 Lbs5 ft8NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Daniel ZaarSpringfield Thunderbirds (STL)RW294/24/1994No177 Lbs5 ft11NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien
Graeme ClarkeSpringfield Thunderbirds (STL)C/RW224/24/2001Yes174 Lbs6 ft0NoNoN/ANoNo2Pro & Farm850,833$0$0$No850,833$--------No--------
J.C. LiponSpringfield Thunderbirds (STL)RW307/10/1993No176 Lbs5 ft5NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Jakub SkarekSpringfield Thunderbirds (STL)G2411/10/1999Yes203 Lbs6 ft3NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Jeffrey VielSpringfield Thunderbirds (STL)LW261/28/1997No196 Lbs6 ft0NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Justin AlmeidaSpringfield Thunderbirds (STL)C/LW242/6/1999Yes165 Lbs5 ft11NoNoN/ANoNo1Pro & Farm809,167$0$0$No------------------Lien
Lucas LessioSpringfield Thunderbirds (STL)LW301/23/1993No212 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,100,000$0$0$No------------------
Mac HollowellSpringfield Thunderbirds (STL)D259/26/1998 4:00:11 AMYes170 Lbs5 ft9NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Michal JordanSpringfield Thunderbirds (STL)D337/17/1990No195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Mike McCarronSpringfield Thunderbirds (STL)C/RW283/7/1995 4:27:00 AMNo231 Lbs6 ft4NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Nikita NesterovSpringfield Thunderbirds (STL)D303/28/1993No191 Lbs5 ft11NoNoN/ANoNo1Pro & Farm875,000$0$0$No------------------Lien
Nikolay GoldobinSpringfield Thunderbirds (STL)LW/RW2810/7/1995No196 Lbs5 ft11NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Oscar LindbergSpringfield Thunderbirds (STL)C/LW3210/29/1991No202 Lbs6 ft1NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Otto KoivulaSpringfield Thunderbirds (STL)LW259/1/1998Yes225 Lbs6 ft5NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien NHL
Riley SutterSpringfield Thunderbirds (STL)RW2410/25/1999Yes207 Lbs6 ft4NoNoN/ANoNo2Pro & Farm775,000$0$0$No775,000$--------No--------
Ryan FitzgeraldSpringfield Thunderbirds (STL)C/RW2910/19/1994No172 Lbs5 ft9NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Stephen JohnsSpringfield Thunderbirds (STL)D314/17/1992No225 Lbs6 ft4NoNoN/ANoNo1Pro & Farm950,000$0$0$No------------------Lien
Timur IbragimovSpringfield Thunderbirds (STL)LW2310/12/2000Yes183 Lbs6 ft1NoNoN/ANoNo2Pro & Farm813,333$0$0$No813,333$--------No--------
Tomas JurcoSpringfield Thunderbirds (STL)RW3112/28/1992No197 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Tyler LewingtonSpringfield Thunderbirds (STL)D2912/5/1994No195 Lbs6 ft2NoNoN/ANoNo1Pro & Farm980,000$0$0$No------------------Lien
Victor SoderstromSpringfield Thunderbirds (STL)D222/26/2001Yes184 Lbs5 ft11NoNoN/ANoNo3Pro & Farm863,333$0$0$No863,333$863,333$-------NoNo-------Lien NHL
Zack PhillipsSpringfield Thunderbirds (STL)C3110/28/1992No178 Lbs6 ft1NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2828.36194 Lbs6 ft11.36930,524$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeffrey VielDanick MartelJ.C. Lipon40122
2Otto KoivulaMike McCarronDaniel Zaar30122
3Lucas LessioCorey TroppGraeme Clarke20122
4Danick MartelJeffrey VielRyan Fitzgerald10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stephen JohnsVictor Soderstrom40122
2Tyler LewingtonMac Hollowell30122
3Michal JordanNikita Nesterov20122
4Tyler LewingtonStephen Johns10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeffrey VielGraeme ClarkeJ.C. Lipon60122
2Zack PhillipsLucas LessioDaniel Zaar40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stephen JohnsVictor Soderstrom60122
2Tyler LewingtonMac Hollowell40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lucas LessioJ.C. Lipon60122
2Jeffrey VielGraeme Clarke40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stephen JohnsNikita Nesterov60122
2Tyler LewingtonVictor Soderstrom40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jeffrey Viel60122Stephen JohnsNikita Nesterov60122
2J.C. Lipon40122Tyler LewingtonMichal Jordan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Graeme ClarkeJ.C. Lipon60122
2Daniel ZaarJeffrey Viel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stephen JohnsVictor Soderstrom60122
2Tyler LewingtonNikita Nesterov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeffrey VielGraeme ClarkeJ.C. LiponStephen JohnsVictor Soderstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeffrey VielGraeme ClarkeJ.C. LiponStephen JohnsVictor Soderstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zack Phillips, J.C. Lipon, Otto KoivulaZack Phillips, Jeffrey VielJ.C. Lipon
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Stephen Johns, Nikita Nesterov, Tyler LewingtonStephen JohnsNikita Nesterov, Stephen Johns
Tirs de pénalité
Jeffrey Viel, Otto Koivula, Mike McCarron, J.C. Lipon, Lucas Lessio
Gardien
#1 : Chris Driedger, #2 : Jakub Skarek
Lignes d’attaque personnalisées en prolongation
Jeffrey Viel, Otto Koivula, Mike McCarron, Corey Tropp, Lucas Lessio, Danick Martel, Danick Martel, Ryan Fitzgerald, J.C. Lipon, Daniel Zaar, Graeme Clarke
Lignes de défense personnalisées en prolongation
Stephen Johns, Victor Soderstrom, Tyler Lewington, Mac Hollowell, Michal Jordan


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%000%0000%000%000%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%000%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%000%000%
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%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,605,466$ 2,591,883$ 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$




Springfield 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

Springfield 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

Springfield 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

Springfield 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

Springfield 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