Connexion

Thunderbirds
GP: 8 | W: 4 | L: 4
GF: 25 | GA: 27 | PP%: 10.71% | PK%: 91.89%
DG: Jean-Francois Chouinard | Morale : 36 | Moyenne d’équipe : 64
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Centre de jeu
Comets
10-5-0, 20pts
4
FINAL
3 Thunderbirds
4-4-0, 8pts
Team Stats
L1StreakOTL2
4-4-0Home Record2-2-0
6-1-0Away Record2-2-0
6-3-1Last 10 Games4-2-2
4.20Buts par match 3.13
3.60Buts contre par match 3.38
16.13%Pourcentage en avantage numérique10.71%
85.71%Pourcentage en désavantage numérique91.89%
Comets
10-5-0, 20pts
4
FINAL
3 Thunderbirds
4-4-0, 8pts
Team Stats
L1StreakOTL2
4-4-0Home Record2-2-0
6-1-0Away Record2-2-0
6-3-1Last 10 Games4-2-2
4.20Buts par match 3.13
3.60Buts contre par match 3.38
16.13%Pourcentage en avantage numérique10.71%
85.71%Pourcentage en désavantage numérique91.89%
Meneurs d'équipe
Buts
Quinton Howden
6
Passes
Griffin Reinhart
6
Points
Quinton Howden
11
Plus/Moins
Tom Kuhnhackl
7
Victoires
Carter Hutton
2
Pourcentage d’arrêts
Carter Hutton
0.908

Statistiques d’équipe
Buts pour
25
3.13 GFG
Tirs pour
235
29.38 Avg
Pourcentage en avantage numérique
10.7%
3 GF
Début de zone offensive
35.7%
Buts contre
27
3.38 GAA
Tirs contre
279
34.88 Avg
Pourcentage en désavantage numérique
91.9%
3 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralJean-Francois Chouinard
EntraîneurPavel Bure
DivisionPaul-Loicq
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure20
Limite contact 53 / 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
1Quinton Howden (R)X100.007436767671717476667668677052474384700241600,000$
2Elias Lindholm (R)X100.006826866883777070716777607049455483690222750,000$
3Jerry D'Amigo (R)X100.006734797169796866687270676753493584680252800,000$
4Valentin Zykov (R)X100.006826817769776871606878576849445386680211650,000$
5Kirill Kaprizov (R)X100.006947757071637373676668596444426563660191500,000$
6Tom Kuhnhackl (R)X100.006431757471697170636667667148463687660242700,000$
7Hudson Fasching (R)X100.006324727675727263636573606545435476650212550,000$
8Mitchell Heard (R)X100.007332677174586762567170675848503487650242500,000$
9Matt Puempel (R)X100.006738786968666864636469527047475172640233550,000$
10Nicklas Jensen (R)X100.006153786566677271676766556545454552640231550,000$
11Roberts Lipsbergs (R)X100.006930726273696564746466546746474662630221500,000$
12Tanner Laczynski (R)X100.005035777453654769626964567743436783620192500,000$
13Griffin Reinhart (R)X100.006726817771657580518267705560464385710222950,000$
14Michal Jordan (R)X100.006824807373757072597469686571603362700261600,000$
15Niklas Hansson (R)X100.007016797465767461447350855356444887700211500,000$
16John Draeger (R)X100.006722757272686959437061825754494180690231500,000$
17Jake Walman (R)X100.006033816870686055355841723742425877630203600,000$
18Keaton Thompson (R)X100.005739687159576962457158705544435049630211500,000$
Rayé
1Michael McCarron (R)X100.007544656678558063656764496444445122630211500,000$
2Austin Poganski (R)X100.006440727167557361586066595846434922620203500,000$
3Kyle Platzer (R)X100.004236696644665374576562598043434321610211500,000$
4Nick Merkley (R)X100.005633785756646269786759375841416321590191500,000$
5Calvin Thurkauf (R)X100.007550656365487764516360505141436522590192500,000$
6Lukas Vejdemo (R)X100.004430766453635551615555535143435122550201500,000$
7Artur Kayumov (R)X100.006144745052585356495854496440407821540184800,000$
8Connor Honey (R)X100.006759615470627744574549475743434522530211500,000$
9Dmytro Timashov (R)X100.004826674948475762566642445343435222510201500,000$
10Viktor Baldayev (R)X100.007049686375646965416047724744434852650211500,000$
11Nelson Nogier (R)X100.006538726164656156366455684442425321620202600,000$
MOYENNE D’ÉQUIPE100.00643574676665676557666260614745505663
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
1Igor Bobkov100.00766771747073787069648356563185710251600,000$
2Carter Hutton100.00786055957564498778747166635983710313800,000$
Rayé
1Niklas Treutle100.00636671727267696873716962553022690262750,000$
2Artyom Zagidulin (R)100.00615456705849484949525840407723520212500,000$
MOYENNE D’ÉQUIPE100.0070626378696361696765705654495366
Nom de l’entraîneur 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
1Quinton HowdenThunderbirds (Flo)C865111200201430111220.00%217622.121121280000252044.03%26861001.2400000021
2Tom KuhnhacklThunderbirds (Flo)RW8358740191216111518.75%414818.590003220001340175.00%472001.0801000200
3Valentin ZykovThunderbirds (Flo)LW8538680126258920.00%612315.42101624000001112.50%830001.3000000001
4Griffin ReinhartThunderbirds (Flo)D8167140817251294.00%1621426.81011429000227000.00%0611000.6500000000
5Elias LindholmThunderbirds (Flo)C8156700513113149.09%313817.360001220002211043.18%8842000.8600000000
6Jerry D'AmigoThunderbirds (Flo)RW81451201615154176.67%314718.44022428000000060.00%1531000.6800000001
7Kirill KaprizovThunderbirds (Flo)LW82241802381421114.29%215519.400000260000120027.27%1121000.5200000010
8Jake WalmanThunderbirds (Flo)D8033100373120.00%810112.740000000019000.00%023000.5900000001
9Michal JordanThunderbirds (Flo)D8123-120101172714.29%914017.6100002200001000.00%046000.4300000000
10Niklas HanssonThunderbirds (Flo)D8123-140132575014.29%821927.46000029000034000.00%035000.2700000000
11Hudson FaschingThunderbirds (Flo)RW8022-72085115130.00%110212.8001100000115000.00%122000.3900000000
12Keaton ThompsonThunderbirds (Flo)D81120801941325.00%911614.5800000000023000.00%025000.3400000000
13Tanner LaczynskiThunderbirds (Flo)C8112-3004513477.69%2668.2600000000020032.26%3121000.6100000000
14John DraegerThunderbirds (Flo)D8011-320111013230.00%1717722.14000122000137000.00%025000.1100000000
15Matt PuempelThunderbirds (Flo)LW8101-7008382412.50%58911.141011000002000.00%111000.2200000000
16Mitchell HeardThunderbirds (Flo)C8101-76023819765.26%610613.30000000002190040.43%4750000.1900000000
17Nicklas JensenThunderbirds (Flo)RW8011-320318320.00%0637.9200000000000066.67%311000.3200000000
18Roberts LipsbergsThunderbirds (Flo)LW8000-300736230.00%2648.05000000000100100.00%230000.0000000000
Statistiques d’équipe totales ou en moyenne144254368-107201941722358513710.64%103235316.3435821259000102684242.80%4795847000.5801000234
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
1Igor BobkovThunderbirds (Flo)42100.8973.46208001211669000.000035100
2Carter HuttonThunderbirds (Flo)52120.9083.27275001516397000.000053110
Statistiques d’équipe totales ou en moyenne94220.9033.354840027279166000.000088210


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 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
Artur KayumovThunderbirds (Flo)LW181998-01-01Yes176 Lbs5 ft11NoNoNo4Pro & Farm800,000$0$0$No800,000$800,000$800,000$
Artyom ZagidulinThunderbirds (Flo)G211995-01-01Yes181 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Austin PoganskiThunderbirds (Flo)RW201996-01-01Yes198 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Calvin ThurkaufThunderbirds (Flo)C191997-01-01Yes205 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Carter HuttonThunderbirds (Flo)G311985-01-01No207 Lbs6 ft0NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Connor HoneyThunderbirds (Flo)RW211995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Dmytro TimashovThunderbirds (Flo)LW201996-01-01Yes192 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Elias LindholmThunderbirds (Flo)C221994-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No800,000$
Griffin ReinhartThunderbirds (Flo)D221994-01-01Yes206 Lbs6 ft3NoNoNo2Pro & Farm950,000$0$0$No1,100,000$
Hudson FaschingThunderbirds (Flo)RW211995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm550,000$0$0$No600,000$
Igor BobkovThunderbirds (Flo)G251991-01-01No235 Lbs6 ft5NoNoNo1Pro & Farm600,000$0$0$No
Jake WalmanThunderbirds (Flo)D201996-01-01Yes180 Lbs6 ft0NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Jerry D'AmigoThunderbirds (Flo)RW251991-01-01Yes208 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No850,000$
John DraegerThunderbirds (Flo)D231993-01-01Yes186 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Keaton ThompsonThunderbirds (Flo)D211995-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Kirill KaprizovThunderbirds (Flo)LW191997-01-01Yes185 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$No
Kyle PlatzerThunderbirds (Flo)C211995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Lukas VejdemoThunderbirds (Flo)C201996-01-01Yes194 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Matt PuempelThunderbirds (Flo)LW231993-01-01Yes190 Lbs6 ft0NoNoNo3Pro & Farm550,000$0$0$No600,000$600,000$
Michael McCarronThunderbirds (Flo)RW211995-01-01Yes185 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Michal JordanThunderbirds (Flo)D261990-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Mitchell HeardThunderbirds (Flo)C241992-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Nelson NogierThunderbirds (Flo)D201996-01-01Yes191 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$
Nick MerkleyThunderbirds (Flo)RW191997-01-01Yes194 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Nicklas JensenThunderbirds (Flo)RW231993-01-01Yes186 Lbs6 ft3NoNoNo1Pro & Farm550,000$0$0$No
Niklas HanssonThunderbirds (Flo)D211995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Niklas TreutleThunderbirds (Flo)G261990-01-01No185 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
Quinton HowdenThunderbirds (Flo)C241992-01-01Yes189 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$No
Roberts LipsbergsThunderbirds (Flo)LW221994-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Tanner LaczynskiThunderbirds (Flo)C191997-01-01Yes205 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Tom KuhnhacklThunderbirds (Flo)RW241992-01-01Yes196 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$
Valentin ZykovThunderbirds (Flo)LW211995-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
Viktor BaldayevThunderbirds (Flo)D211995-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3321.91192 Lbs6 ft11.67586,364$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valentin ZykovQuinton HowdenJerry D'Amigo40023
2Kirill KaprizovElias LindholmTom Kuhnhackl30023
3Matt PuempelMitchell HeardHudson Fasching20122
4Roberts LipsbergsTanner LaczynskiNicklas Jensen10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin ReinhartNiklas Hansson40023
2Michal JordanJohn Draeger30023
3Keaton ThompsonJake Walman20122
4Griffin ReinhartNiklas Hansson10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valentin ZykovQuinton HowdenJerry D'Amigo60014
2Kirill KaprizovElias LindholmTom Kuhnhackl40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin ReinhartNiklas Hansson60023
2Michal JordanJohn Draeger40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Quinton HowdenTom Kuhnhackl60131
2Mitchell HeardHudson Fasching40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Niklas HanssonJohn Draeger60140
2Griffin ReinhartKeaton Thompson40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Quinton Howden60131Niklas HanssonJohn Draeger60140
2Mitchell Heard40131Griffin ReinhartKeaton Thompson40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Quinton HowdenValentin Zykov60023
2Elias LindholmKirill Kaprizov40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin ReinhartNiklas Hansson60023
2Michal JordanJohn Draeger40023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kirill KaprizovQuinton HowdenJerry D'AmigoGriffin ReinhartNiklas Hansson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kirill KaprizovQuinton HowdenTom KuhnhacklNiklas HanssonJohn Draeger
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Elias Lindholm, Kirill Kaprizov, Quinton HowdenElias Lindholm, Kirill KaprizovElias Lindholm
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michal Jordan, Niklas Hansson, Griffin ReinhartKeaton ThompsonGriffin Reinhart, Niklas Hansson
Tirs de pénalité
Tanner Laczynski, Tom Kuhnhackl, Quinton Howden, Elias Lindholm, Kirill Kaprizov
Gardien
#1 : Carter Hutton, #2 : Igor Bobkov


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
1Comets404000001019-92020000068-220200000411-700.0001017270057130126736593413248368513215.38%19289.47%07117141.52%7618341.53%5812546.40%162861787814368
2Wolfpack440000001587220000007342200000085381.0001526410057130109736593414755361091516.67%18194.44%07117141.52%7618341.53%5812546.40%162861787814368
Total844000002527-24220000013112422000001216-480.500254368005713023573659342791037219428310.71%37391.89%07117141.52%7618341.53%5812546.40%162861787814368
_Since Last GM Reset844000002527-24220000013112422000001216-480.500254368005713023573659342791037219428310.71%37391.89%07117141.52%7618341.53%5812546.40%162861787814368
_Vs Conference844000002527-24220000013112422000001216-480.500254368005713023573659342791037219428310.71%37391.89%07117141.52%7618341.53%5812546.40%162861787814368
_Vs Division440000001587220000007342200000085381.0001526410057130109736593414755361091516.67%18194.44%07117141.52%7618341.53%5812546.40%162861787814368

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
88OTL22543682352791037219400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
84400002527
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001311
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
42200001216
Derniers 10 matchs
WLOTWOTL SOWSOL
420200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
28310.71%37391.89%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
736593457130
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
7117141.52%7618341.53%5812546.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
162861787814368


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 - 2021-11-308Wolfpack1Thunderbirds3BWSommaire du match
2 - 2021-12-0116Wolfpack2Thunderbirds4BWSommaire du match
3 - 2021-12-0224Thunderbirds6Wolfpack4AWSommaire du match
4 - 2021-12-0332Thunderbirds2Wolfpack1AWSommaire du match
8 - 2021-12-0760Thunderbirds1Comets3ALSommaire du match
9 - 2021-12-0864Thunderbirds3Comets8ALSommaire du match
10 - 2021-12-0968Comets4Thunderbirds3BLXSommaire du match
11 - 2021-12-1072Comets4Thunderbirds3BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance8,0004,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 3000 - 100.00% 89,250$357,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,935,000$ 1,705,000$ 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$




Thunderbirds Leaders statistiques (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 (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