Connexion

Thunderbirds
GP: 14 | W: 3 | L: 8 | OTL: 3 | P: 9
GF: 39 | GA: 63 | PP%: 17.78% | PK%: 60.87%
DG: Mathieu Desjardins | Morale : 55 | Moyenne d’équipe : 58
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Centre de jeu
senators
5-7-2, 12pts		7
FINAL
 3 Thunderbirds
3-8-3, 9pts
Team Stats
L1StreakSOL1
3-3-1Home Record0-5-2
2-4-1Away Record3-3-1
4-4-2Last 10 Games1-7-2
3.50Goals Per Game2.79
3.21Goals Against Per Game4.50
12.20%Power Play Percentage17.78%
84.31%Penalty Kill Percentage60.87%
Crunch
5-8-1, 11pts		4
FINAL
 3 Thunderbirds
3-8-3, 9pts
Team Stats
W1StreakSOL1
4-3-0Home Record0-5-2
1-5-1Away Record3-3-1
4-5-1Last 10 Games1-7-2
2.79Goals Per Game2.79
4.64Goals Against Per Game4.50
15.91%Power Play Percentage17.78%
82.76%Penalty Kill Percentage60.87%
Meneurs d'équipe
Eric ComrieVictoires
Eric Comrie
3		 Eric ComriePourcentage d’arrêts
Eric Comrie
0.92

Statistiques d’équipe
Buts pour
39
2.79 GFG		 Tirs pour
510
36.43 Avg		 Pourcentage en avantage numérique
17.8%
8 GF		 Début de zone offensive
30.8%
Buts contre
63
4.50 GAA		 Tirs contre
757
54.07 Avg		 Pourcentage en désavantage numérique
60.9%
9 GA		 Début de la zone défensive
51.9%
Information d’équipe

Directeur généralMathieu Desjardins
EntraîneurTodd McLellan
DivisionAtlantique
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro18
Équipe Mineure22
Limite contact 40 / 80
Espoirs15


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
1Kaapo Kakko0X100.006142928274678572386371542557586858640202925,000$
2Quinton Byfield (R)0X100.008181827481666862785961675844446560630193925,000$
3Clark Bishop0X100.008345906172546264716855762557586254620252700,000$
4Danny O'Regan0XX100.007465966865737567806467656444446858610273700,000$
5Martin Kaut0X100.007067777367606064506261625845456345590211925,000$
6Kalle Kossila0XX100.007166845366535066806859645646466246580281700,000$
7Mike Vecchione0XX100.007668966068616258734765646244446353580282700,000$
8Michael Pezzetta0XX100.007175606475525350634747594544445357540232743,333$
9K'Andre Miller (R)0X100.008346888081827468255050812549496552650213925,000$
10Niko Mikkola0X100.008144886872656658254648842547476045600272787,500$
11Corey Schueneman0X100.007973946573646850254341633944445459560261750,000$
12Louie Belpedio (R)0X100.006970676670626550254046584444445449540252700,000$
13Nelson Nogier (R)0X100.007272726572555847253741593944445050520251725,000$
Rayé
1Ben Thomson (R)0X100.0072776152775557515040576054444455365402800$
2Jordan Schmaltz0X100.0077738668735862472536416339494953375502700$
MOYENNE D’ÉQUIPE100.00756482677262645849515465444747605158
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
1Eric Comrie100.00665063657075727581793044447040660
2Matt Tomkins (R)100.00545164795756505854533044445454550
Rayé
1Evan Cormier (R)100.00495366804749505448483044445040520
MOYENNE D’ÉQUIPE100.0056516475586057626160304444584558
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan80867787807469CAN5331,000,000$


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
1Mike VecchioneThunderbirds (FLA)C/RW149413120406589285510.11%822416.0501135000011053.68%36700001.1603000220
2Niko MikkolaThunderbirds (FLA)D142810-11203537318246.45%2622416.040111500000000.00%000000.8901000001
3Clark BishopThunderbirds (FLA)C14010102401834236230.00%714210.1700000000000057.85%24200001.4101000001
4Nelson NogierThunderbirds (FLA)D14178-180271819795.26%1122516.071013500001000.00%000000.7101000010
5Martin KautThunderbirds (FLA)RW14538200101944101611.36%214210.1700000000000042.86%1400001.1213000000
6Kalle KossilaThunderbirds (FLA)C/LW14516200692992117.24%414210.1700000000000060.00%1500000.8413000000
7Louie BelpedioThunderbirds (FLA)D1404411553889580.00%151389.880000000000000.00%000000.5802001000
Statistiques d’équipe totales ou en moyenne982237596415174190244731569.02%73123912.65123716000031055.17%63800000.95214001232
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
1Eric ComrieThunderbirds (FLA)143830.9204.1780600566980100.82417140312
2Matt TomkinsThunderbirds (FLA)10000.9155.8851005590000.0000014000
Statistiques d’équipe totales ou en moyenne153830.9194.2785700617570100.824171414312


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 moyenPlafond 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
Ben ThomsonThunderbirds (FLA)LW281993-01-15Yes205 Lbs6 ft3NoNoNo0Farm Only0$0$NoLien / Lien NHL
Clark BishopThunderbirds (FLA)C251996-03-28No199 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$625,000$0$0$No800,000$Lien / Lien NHL
Corey SchuenemanThunderbirds (FLA)D261995-09-02No201 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$550,000$0$0$NoLien
Danny O'ReganThunderbirds (FLA)C/LW271994-01-30No180 Lbs5 ft10NoNoNo3Pro & Farm700,000$700,000$700,000$0$0$No750,000$750,000$Lien
Eric ComrieThunderbirds (FLA)G261995-07-05No175 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$863,000$0$0$No750,000$Lien / Lien NHL
Evan CormierThunderbirds (FLA)G231997-11-06Yes200 Lbs6 ft3NoNoNo1Pro & Farm718,333$718,333$718,333$0$0$NoLien / Lien NHL
Jordan SchmaltzThunderbirds (FLA)D271993-10-08No196 Lbs6 ft2NoNoNo0Farm Only0$0$NoLien / Lien NHL
K'Andre MillerThunderbirds (FLA)D212000-01-21Yes210 Lbs6 ft5NoNoNo3Pro & Farm925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Kaapo KakkoThunderbirds (FLA)RW202001-02-13No199 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$700,000$0$0$No925,000$Lien / Lien NHL
Kalle KossilaThunderbirds (FLA)C/LW281993-04-14No182 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$650,000$0$0$NoLien / Lien NHL
Louie BelpedioThunderbirds (FLA)D251996-05-14Yes196 Lbs5 ft11NoNoNo2Pro & Farm700,000$700,000$925,000$0$0$No750,000$Lien / Lien NHL
Martin KautThunderbirds (FLA)RW211999-10-02No176 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$925,000$0$0$NoLien / Lien NHL
Matt TomkinsThunderbirds (FLA)G271994-06-19Yes194 Lbs6 ft3NoNoNo1Farm Only700,000$700,000$700,000$0$0$NoLien / Lien NHL
Michael PezzettaThunderbirds (FLA)C/LW231998-03-13No205 Lbs6 ft1NoNoNo2Pro & Farm743,333$743,333$743,333$0$0$No750,000$Lien / Lien NHL
Mike VecchioneThunderbirds (FLA)C/RW281993-02-25No194 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$550,000$0$0$No750,000$Lien / Lien NHL
Nelson NogierThunderbirds (FLA)D251996-05-26Yes191 Lbs6 ft2NoNoNo1Pro & Farm725,000$725,000$600,000$0$0$NoLien / Lien NHL
Niko MikkolaThunderbirds (FLA)D271994-04-27No185 Lbs6 ft4NoNoNo2Farm Only787,500$787,500$550,000$0$0$No787,500$Lien / Lien NHL
Quinton ByfieldThunderbirds (FLA)C192002-08-19Yes215 Lbs6 ft4NoNoNo3Pro & Farm925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1824.78195 Lbs6 ft21.61684,676$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Mike Vecchione30122
3Kalle KossilaClark BishopMartin Kaut20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Niko MikkolaNelson Nogier30122
3Louie Belpedio20122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Mike Vecchione40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Niko MikkolaNelson Nogier40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Mike Vecchione40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Niko MikkolaNelson Nogier40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Niko MikkolaNelson Nogier40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Mike Vecchione40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Niko MikkolaNelson Nogier40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Clark Bishop, Martin Kaut, Clark BishopMartin Kaut
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Louie Belpedio, , Niko MikkolaLouie Belpedio, Niko Mikkola
Tirs de pénalité
, , , Mike Vecchione,
Gardien
#1 : Eric Comrie, #2 : Matt Tomkins


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
1Americans201000105501010000023-11000001032120.5005712001713827017515816331101314538112.50%20100.00%017544339.50%28874538.66%9524838.31%25116843010817676
2Bruins 2010000148-41000000134-11010000014-310.25048120017138278175158163311013310536350.00%5260.00%017544339.50%28874538.66%9524838.31%25116843010817676
3Crunch210000018711000000134-11100000053230.750814220017138211217515816331112354436116.67%20100.00%017544339.50%28874538.66%9524838.31%25116843010817676
4Griffins21100000713-61010000019-81100000064220.500714210017138267175158163311274310357114.29%3233.33%017544339.50%28874538.66%9524838.31%25116843010817676
5Marlies2010010069-31010000024-21000010045-110.250612180017138268175158163311132912453133.33%6350.00%017544339.50%28874538.66%9524838.31%25116843010817676
6Rocket2020000059-41010000024-21010000035-200.000581300171382451751581633195318467114.29%4250.00%017544339.50%28874538.66%9524838.31%25116843010817676
7senators20200000412-81010000037-41010000015-400.000481200171382701751581633110831738800.00%10100.00%017544339.50%28874538.66%9524838.31%25116843010817676
Total1428001123963-24705000021635-19723001102328-590.321397111000171382510175158163317572335531345817.78%23960.87%017544339.50%28874538.66%9524838.31%25116843010817676
_Since Last GM Reset1428001123963-24705000021635-19723001102328-590.321397111000171382510175158163317572335531345817.78%23960.87%017544339.50%28874538.66%9524838.31%25116843010817676
_Vs Conference1428001123963-24705000021635-19723001102328-590.321397111000171382510175158163317572335531345817.78%23960.87%017544339.50%28874538.66%9524838.31%25116843010817676
_Vs Division1428001123963-24705000021635-19723001102328-590.321397111000171382510175158163317572335531345817.78%23960.87%017544339.50%28874538.66%9524838.31%25116843010817676

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
149SOL139711105107572335531300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
142801123963
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
70500021635
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
72301102328
Derniers 10 matchs
WLOTWOTL SOWSOL
170101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
45817.78%23960.87%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
17515816331171382
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
17544339.50%28874538.66%9524838.31%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
25116843010817676


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
1 - 2021-09-0611Bruins 4Thunderbirds3LXXSommaire du match
3 - 2021-09-0825Thunderbirds1senators5LSommaire du match
4 - 2021-09-0931Thunderbirds3Americans2WXXSommaire du match
5 - 2021-09-1044Thunderbirds5Crunch3WSommaire du match
6 - 2021-09-1155Griffins9Thunderbirds1LSommaire du match
7 - 2021-09-1272Thunderbirds4Marlies5LXSommaire du match
9 - 2021-09-1484Marlies4Thunderbirds2LSommaire du match
11 - 2021-09-16109Americans3Thunderbirds2LSommaire du match
12 - 2021-09-17116Thunderbirds6Griffins4WSommaire du match
14 - 2021-09-19137Thunderbirds1Bruins 4LSommaire du match
15 - 2021-09-20143Rocket4Thunderbirds2LSommaire du match
16 - 2021-09-21153Thunderbirds3Rocket5LSommaire du match
18 - 2021-09-23171senators7Thunderbirds3LSommaire du match
21 - 2021-09-26199Crunch4Thunderbirds3LXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,232,416$ 1,164,966$ 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$ 1 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





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