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Thunderbirds
GP: 86 | W: 69 | L: 11 | OTL: 6 | P: 144
GF: 403 | GA: 230 | PP%: 29.76% | PK%: 78.89%
DG: Jesse OReilly | Morale : 99 | Moyenne d’équipe : 62

Centre de jeu
Bears
61-19-6, 128pts
3
5 Thunderbirds
69-11-6, 144pts
Team Stats
L3SéquenceW3
31-10-2Fiche domicile34-5-4
30-9-4Fiche domicile35-6-2
5-4-1Derniers 10 matchs9-1-0
3.40Buts par match 4.69
2.16Buts contre par match 2.67
31.47%Pourcentage en avantage numérique29.76%
70.59%Pourcentage en désavantage numérique78.89%
Thunderbirds
69-11-6, 144pts
3
2 Bears
61-19-6, 128pts
Team Stats
W3SéquenceL3
34-5-4Fiche domicile31-10-2
35-6-2Fiche domicile30-9-4
9-1-0Derniers 10 matchs5-4-1
4.69Buts par match 3.40
2.67Buts contre par match 2.16
29.76%Pourcentage en avantage numérique31.47%
78.89%Pourcentage en désavantage numérique70.59%
Meneurs d'équipe
Ryan HartmanButs
Ryan Hartman
77
Passes
Rory Kerins
98
Ryan HartmanPoints
Ryan Hartman
161
Plus/Moins
Nick Perbix
60
Joonas KorpisaloVictoires
Joonas Korpisalo
68
Pourcentage d’arrêts
Talyn Boyko
0.904

Statistiques d’équipe
Buts pour
403
4.69 GFG
Tirs pour
3155
36.69 Avg
Pourcentage en avantage numérique
29.8%
75 GF
Début de zone offensive
42.8%
Buts contre
230
2.67 GAA
Tirs contre
1945
22.62 Avg
Pourcentage en désavantage numérique
78.9%%
61 GA
Début de la zone défensive
29.6%
Informations de l'équipe

Directeur généralJesse OReilly
EntraîneurD.J. Smith
DivisionDivision 5
ConférenceConference 2
CapitaineCurtis Lazar
Assistant #1Philippe Myers
Assistant #2Sammy Blais


Informations de l’aréna

Capacité3,000
Assistance2,950
Billets de saison1,500


Informations de la formation

Équipe Pro36
Équipe Mineure20
Limite contact 56 / 100
Espoirs88


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
1Ryan HartmanXX100.0078646979726886767673766725798167917103132,900,000$
2Maxim Tsyplakov (R)X100.008455857779689475397967642557576891690273999,999$
3Curtis Lazar (C)XXX100.0088459287735765638459617325777962906703121,250,000$
4Danton HeinenXX100.0076548972746596653870626925767964906703032,000,000$
5Rory Kerins (R)X100.0072639172668083748267776467474766906702431,552,000$
6John LeonardX100.0076698970698387695063746667474667896602731,500,000$
7Andrew PoturalskiX100.007266837066777972807072636747476791660321919,000$
8Kevin LabancXX100.0073439073675656672575606676757762896503012,800,000$
9Sasha PastujovX100.007670917273656569506768656347476590640223964,000$
10Jacob Quillan (R)X100.0077748569767883617755636560464662906302421,000,000$
11Georgii Merkulov (R)X100.0071649271647882648065616258474663906302512,000,000$
12Sammy Blais (A)XX100.0077767767766566635062606457474961886102911,400,000$
13Jonas BrodinX100.00654288707386696425695085258589619171X03221,818,000$
14Emil LillebergX100.0081976082816795612559467525606059916902531,500,000$
15Ethan Del Mastro (R)X100.008345927583758664255652732549496091680233956,000$
16Philippe Myers (A)X100.0086608871836959622548477925656658906702921,085,000$
17Nick PerbixX100.0068439270786591622555487325666759916702732,750,000$
18Lucas CarlssonX100.0061417075707874642558498325545561546702821,205,000$
Rayé
1Logan MorrisonX100.007669926769818760755957645445446220610232900,000$
2Jimmy HuntingtonX100.008173998073393266806961685845456520610271923,000$
3Hunter McKownX100.0076718866717883587354586455444463206002311,083,000$
4Pavol RegendaX100.007880746780565660505957645444446019590261868,000$
5Dino KambeitzX100.0077787664785050525044566254454557195502631,114,000$
6Mathias LaferriereX100.0075698864695151525053476245444455205402511,170,000$
7Calum Ritchie (R)X100.0079709980705255445538446242444453205302131,268,000$
8Raivis AnsonsX100.006971646071383746503848574644444920490241844,167$
9Jake Chiasson (R)X100.0076699260693837445038446042444450204902331,411,000$
10Uvis BalinskisX100.0076548975726595642553486825585860736602931,000,000$
11Albert Johansson (R)X100.007643857362697860254948722552516019630251919,167$
12Caleb JonesX100.0076718769716265552550416839656655196202922,999,999$
13Christoffer SedoffX100.008078846478707647253741633944445320590242750,000$
MOYENNE D’ÉQUIPE100.00766385717365726149585667435455606163
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
1Joonas Korpisalo100.0063575880686375707163756970619167X03222,999,999$
2Talyn Boyko (R)100.004652658645924551908145444463906302332,019,000$
Rayé
1Pavel Cajan100.00444050734589454990814544446020590231927,000$
2Cal Petersen100.004850636846475054484830444549205003112,000,000$
3Mitchell Weeks (R)100.004640507847455052484830444447205002441,060,000$
MOYENNE D’ÉQUIPE100.0049485777506753556964454949564858
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
D.J. Smith80808080808080CAN4312,000,000$


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
1Ryan HartmanThunderbirds (STL)C/RW82778416150149552098848516032615.88%29162019.76222648661870000611458.17%15310635071.991840720109
2Rory KerinsThunderbirds (STL)C86539815148100501571393488620415.23%24165219.2118325049201000006359.04%23004928021.834951412177
3John LeonardThunderbirds (STL)LW8545539849140100152992598213617.37%28171920.231314275319200027411143.09%1234229031.14002992810
4Maxim TsyplakovThunderbirds (STL)RW86355085445735173962837216212.37%25140716.363811211531017355133.33%457715011.2104133645
5Curtis LazarThunderbirds (STL)C/LW/RW8637347138801451132458315315.10%30133215.4912311621392575363.55%5357916101.0703000766
6Andrew PoturalskiThunderbirds (STL)C84223759339325161105181579512.15%21131215.63371021147000085154.90%7653617000.9024023033
7Sasha PastujovThunderbirds (STL)RW8624285225511599632036012711.82%16109212.706511141490001244041.18%344110000.9514011242
8Kevin LabancThunderbirds (STL)LW/RW77222446381209765152318714.47%1590811.790111412341685234.38%322911011.0102000213
9Jonas BrodinThunderbirds (STL)D78541464750107911612344674.07%88178822.933811202040000700100.00%12853000.5100002006
10Danton HeinenThunderbirds (STL)LW/RW8625204539381013193152498216.45%30129415.05011190002804145.68%812014000.7000011336
11Ethan Del MastroThunderbirds (STL)D866344053301015112710951535.50%80201823.47371019225000049010%02151000.4000020103
12Jacob QuillanThunderbirds (STL)C76121830281801135872253816.67%1994612.450000422481183165.33%3491612000.6300000200
13Georgii MerkulovThunderbirds (STL)C86131629361007548113426811.50%78109.43000120000002060.00%270167000.7200000104
14Sammy BlaisThunderbirds (STL)LW/RW741316293039511245102414412.75%777010.4100010112131322245.00%20165000.7536100141
15Emil LillebergThunderbirds (STL)D861242543291115158936935291.45%65162218.8712351330111143000%02323000.31007610100
16Nick PerbixThunderbirds (STL)D8612223608061966731381.49%63152717.76000010114280000%01231000.3000000021
17Philippe MyersThunderbirds (STL)D8612021454830111789025371.11%77169119.6711241390001193000%01034000.2500114011
18Uvis BalinskisThunderbirds (STL)D5828104123554613521255.71%42100617.35101160221163000%01324000.2000100000
19Lucas CarlssonThunderbirds (STL)D3828101620040463118126.45%2558515.40011114000196000%0716000.3400000000
20Jimmy HuntingtonThunderbirds (STL)C10145-1101073237174.35%1949.47000000003170041.38%2970001.0600011000
21Logan MorrisonThunderbirds (STL)C30224195355020%15618.99000110000000020.00%500000.7000100000
22Caleb JonesThunderbirds (STL)D150117208116030%31248.290001900003000%003000.1600000000
23Albert JohanssonThunderbirds (STL)D13011220000000%0181.430000000003000%001001.0800000000
24Dino KambeitzThunderbirds (STL)RW6011220761020%1528.670000000007000%101000.3800000000
25Pavol RegendaThunderbirds (STL)LW1000020301010%01111.230000000003000%00000000000000
Statistiques d’équipe totales ou en moyenne1560397644104177712224802306165431551020180812.58%6972546616.3275115190281183571017571878632057.98%47436484361140.821140232745606367
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
1Joonas KorpisaloThunderbirds (STL)86681160.8842.56513942219189110421320.79539860210
2Lukas DostalBlues6756920.8872.353965051551372680501.00012670101
3Talyn BoykoThunderbirds (STL)41000.9044.237100552180000086000
Statistiques d’équipe totales ou en moyenne1571252080.8862.48917647379331517401825115386311


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Albert JohanssonThunderbirds (STL)D252001-01-04SWEYes168 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm919,167$0$0$No---------------------------Lien
Andrew PoturalskiThunderbirds (STL)C321994-01-14USANo187 Lbs5 ft10NoNoTrade2025-02-19NoNo1FalseFalsePro & Farm919,000$0$0$No---------------------------Lien / Lien NHL
Cal PetersenThunderbirds (STL)G311994-10-19USANo180 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien / Lien NHL
Caleb JonesThunderbirds (STL)D291997-06-06USANo194 Lbs6 ft1NoNoAssign ManuallyNoNo22024-09-16FalseFalsePro & Farm2,999,999$0$0$No2,999,999$--------2,999,999$--------No--------Lien / Lien NHL
Calum RitchieThunderbirds (STL)C212005-01-21CANYes185 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,268,000$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Lien
Christoffer SedoffThunderbirds (STL)D242002-02-20FINNo210 Lbs6 ft2NoNoFree AgentNoNo22024-09-19FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Curtis LazarThunderbirds (STL)C/LW/RW311995-02-02CANNo203 Lbs6 ft0NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien / Lien NHL
Danton HeinenThunderbirds (STL)LW/RW301995-07-05CANNo195 Lbs6 ft2NoNoFree AgentNoNo32025-11-25FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Dino KambeitzThunderbirds (STL)RW262000-01-25USANo212 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,114,000$0$0$No1,114,000$1,114,000$-------1,114,000$1,114,000$-------NoNo-------Lien
Emil LillebergThunderbirds (STL)D252001-02-02NORNo208 Lbs6 ft3NoNoFree AgentNoNo32025-12-04FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Ethan Del MastroThunderbirds (STL)D232003-01-15CANYes210 Lbs6 ft4NoNoN/ANoNo32025-04-30FalseFalsePro & Farm956,000$0$0$No869,000$782,000$-------869,000$869,000$-------NoNo-------Lien
Georgii MerkulovThunderbirds (STL)C252000-10-10RUSYes176 Lbs5 ft11NoNoFree AgentNoNo12025-12-04FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Hunter McKownThunderbirds (STL)C232002-08-18USANo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,083,000$0$0$No---------------------------Lien
Jacob QuillanThunderbirds (STL)C242002-02-02CANYes204 Lbs6 ft1NoNoFree AgentNoNo22025-12-31FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Jake ChiassonThunderbirds (STL)RW232003-05-23BCYes181 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,411,000$0$0$No1,411,000$1,411,000$-------1,411,000$1,411,000$-------NoNo-------Lien
Jimmy HuntingtonThunderbirds (STL)C271998-11-18QUENo200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm923,000$0$0$No---------------------------Lien
John LeonardThunderbirds (STL)LW271998-08-07USANo190 Lbs5 ft11NoNoFree AgentNoNo32025-12-09FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Jonas BrodinThunderbirds (STL)D321993-07-12SWENo196 Lbs6 ft2NoYesN/ANoNo2FalseFalsePro & Farm1,818,000$0$0$No1,818,000$--------2,077,000$--------No--------Lien / Lien NHL
Joonas KorpisaloThunderbirds (STL)G321994-04-28FINNo199 Lbs6 ft3NoYesAssign ManuallyNoNo22024-09-16FalseFalsePro & Farm2,999,999$0$0$No2,999,999$--------2,999,999$--------No--------Lien / Lien NHL
Kevin LabancThunderbirds (STL)LW/RW301995-12-12USANo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm2,800,000$0$0$No---------------------------Lien / Lien NHL
Logan MorrisonThunderbirds (STL)C232002-07-09CANNo186 Lbs6 ft1NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Lucas CarlssonThunderbirds (STL)D281997-07-05SWENo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,205,000$0$0$No1,205,000$--------750,000$--------No--------Lien / Lien NHL
Mathias LaferriereThunderbirds (STL)RW252000-06-27QUENo188 Lbs6 ft1NoNoN/ANoNo12025-04-30FalseFalsePro & Farm1,170,000$0$0$No---------------------------Lien
Maxim TsyplakovThunderbirds (STL)RW271998-09-19RUSYes210 Lbs6 ft3NoNoFree AgentNoNo32025-11-25FalseFalsePro & Farm999,999$0$0$No999,999$999,999$-------999,999$999,999$-------NoNo-------Lien
Mitchell WeeksThunderbirds (STL)G242001-06-22ONTYes190 Lbs6 ft3NoNoN/ANoNo4FalseFalsePro & Farm1,060,000$0$0$No1,060,000$1,060,000$1,060,000$------1,060,000$1,060,000$1,060,000$------NoNoNo------Lien
Nick PerbixThunderbirds (STL)D271998-06-15USANo206 Lbs6 ft4NoNoWaiverNoNo3FalseFalsePro & Farm2,750,000$0$0$No2,750,000$2,750,000$-------2,750,000$2,750,000$-------NoNo-------Lien
Pavel CajanThunderbirds (STL)G232002-10-13CZENo185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm927,000$0$0$No---------------------------Lien
Pavol RegendaThunderbirds (STL)LW261999-11-07SVKNo219 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm868,000$0$0$No---------------------------Lien
Philippe MyersThunderbirds (STL)D291997-01-25CANNo219 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm1,085,000$0$0$No1,085,000$--------930,000$--------No--------Lien / Lien NHL
Raivis AnsonsThunderbirds (STL)RW242002-01-29LATNo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm844,167$0$0$No---------------------------Lien
Rory KerinsThunderbirds (STL)C242002-04-12CANYes175 Lbs5 ft10NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,552,000$0$0$No1,552,000$1,552,000$-------1,552,000$1,552,000$-------NoNo-------Lien
Ryan HartmanThunderbirds (STL)C/RW311994-09-20USANo197 Lbs6 ft0NoNoAssign Manually2024-09-03NoNo32025-11-06FalseFalsePro & Farm2,900,000$0$0$No2,900,000$2,900,000$-------2,900,000$2,900,000$-------NoNo-------Lien / Lien NHL
Sammy BlaisThunderbirds (STL)LW/RW291996-06-17CANNo206 Lbs6 ft2NoNoDraftNoNo12025-10-20FalseFalsePro & Farm1,400,000$0$0$No---------------------------Lien
Sasha PastujovThunderbirds (STL)RW222003-07-15USANo190 Lbs6 ft0NoNoTrade2025-03-19NoNo32025-04-30FalseFalsePro & Farm964,000$0$0$No964,000$964,000$-------964,000$964,000$-------NoNo-------Lien
Talyn BoykoThunderbirds (STL)G232002-10-16CANYes201 Lbs6 ft8NoNoProspectNoNo32025-10-22FalseFalsePro & Farm2,019,000$0$0$No2,019,000$2,019,000$-------2,019,000$2,019,000$-------NoNo-------Lien
Uvis BalinskisThunderbirds (STL)D291996-08-01LATNo196 Lbs6 ft0NoNoFree AgentNoNo32026-01-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3626.50195 Lbs6 ft12.111,468,204$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1John LeonardRory KerinsRyan Hartman40122
2Danton HeinenAndrew PoturalskiMaxim Tsyplakov30122
3Kevin LabancJacob QuillanSasha Pastujov20122
4Sammy BlaisGeorgii MerkulovCurtis Lazar10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas BrodinEthan Del Mastro40122
2Emil LillebergPhilippe Myers30122
3Lucas CarlssonNick Perbix20122
4Lucas CarlssonNick Perbix10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1John LeonardRory KerinsRyan Hartman60122
2Sasha PastujovAndrew PoturalskiMaxim Tsyplakov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas BrodinEthan Del Mastro60122
2Emil LillebergPhilippe Myers40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Curtis LazarSammy Blais60122
2Jacob QuillanMaxim Tsyplakov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lucas CarlssonNick Perbix60122
2Emil LillebergPhilippe Myers40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Curtis Lazar60122Jonas BrodinEthan Del Mastro60122
2Jacob Quillan40122Emil LillebergPhilippe Myers40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rory KerinsRyan Hartman60122
2Andrew PoturalskiMaxim Tsyplakov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas BrodinEthan Del Mastro60122
2Lucas CarlssonNick Perbix40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John LeonardRory KerinsRyan HartmanEmil LillebergEthan Del Mastro
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan HartmanCurtis LazarSasha PastujovLucas CarlssonPhilippe Myers
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Hartman, Curtis Lazar, Maxim TsyplakovSasha Pastujov, Georgii MerkulovDanton Heinen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonas Brodin, Ethan Del Mastro, Philippe MyersLucas CarlssonPhilippe Myers, Nick Perbix
Tirs de pénalité
Maxim Tsyplakov, Ryan Hartman, Rory Kerins, Sasha Pastujov, Curtis Lazar
Gardien
#1 : Joonas Korpisalo, #2 : Talyn Boyko


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
1Admirals210000017521000000123-11100000052330.7507101700126138131137210391074102854271013545240.00%40100.00%01171201858.03%804139757.55%775130159.57%1953107614858561773853
2Americans321000001385211000009721100000041340.6671319321012613813113112103910741028547527397515533.33%7185.71%11171201858.03%804139757.55%775130159.57%1953107614858561773853
3Barracuda320001001064110000006242100010044050.83310152500126138131138310391074102854371936897114.29%8187.50%01171201858.03%804139757.55%775130159.57%1953107614858561773853
4Bears532000001614231200000910-12200000074360.60016274300126138131131981039107410285410236481297228.57%24579.17%01171201858.03%804139757.55%775130159.57%1953107614858561773853
5Bruins2100001012571100000010461000001021141.0001221330012613813113841039107410285441148573266.67%4175.00%01171201858.03%804139757.55%775130159.57%1953107614858561773853
6Canucks2200000016412110000007251100000092741.000162440001261381311383103910741028543710455310660.00%50100.00%11171201858.03%804139757.55%775130159.57%1953107614858561773853
7Checkers220000001156110000003121100000084441.0001118290012613813113701039107410285427836588112.50%9188.89%01171201858.03%804139757.55%775130159.57%1953107614858561773853
8Comets22000000165111100000062411000000103741.000162440001261381311369103910741028544716724410550.00%6350.00%01171201858.03%804139757.55%775130159.57%1953107614858561773853
9Condors21100000651110000005231010000013-220.500681400126138131136510391074102854402417618337.50%60100.00%01171201858.03%804139757.55%775130159.57%1953107614858561773853
10Crunch21001000725110000005141000100021141.000710170012613813113611039107410285433174055300.00%5180.00%01171201858.03%804139757.55%775130159.57%1953107614858561773853
11Eagles21100000880110000004311010000045-120.500814220012613813113731039107410285458123049400.00%10280.00%01171201858.03%804139757.55%775130159.57%1953107614858561773853
12Griffins540000101971232000010945220000001037101.0001929480112613813113174103910741028541034312415613215.38%17382.35%01171201858.03%804139757.55%775130159.57%1953107614858561773853
13Gulls2000002012102100000107611000001054141.00012172900126138131138010391074102854552334534250.00%7357.14%01171201858.03%804139757.55%775130159.57%1953107614858561773853
14Heat220000001046110000006331100000041341.00010162600126138131136910391074102854391232606116.67%6266.67%01171201858.03%804139757.55%775130159.57%1953107614858561773853
15IceHogs220000001037110000006241100000041341.00010172700126138131137710391074102854281528464375.00%4250.00%01171201858.03%804139757.55%775130159.57%1953107614858561773853
16Islanders53200000211653210000014952110000077060.600213354001261381311318210391074102854161475812112216.67%14378.57%01171201858.03%804139757.55%775130159.57%1953107614858561773853
17Marlies541000002216622000000945321000001312180.80022386010126138131131921039107410285492337412513430.77%22863.64%01171201858.03%804139757.55%775130159.57%1953107614858561773853
18Monsters330000001358110000005142200000084461.000132033001261381311399103910741028545215836511436.36%14378.57%11171201858.03%804139757.55%775130159.57%1953107614858561773853
19Moose21000010743100000103211100000042241.000711180012613813113731039107410285429612586116.67%6183.33%01171201858.03%804139757.55%775130159.57%1953107614858561773853
20Penguins220000001248110000006151100000063341.0001220320012613813113841039107410285423128715120.00%4175.00%01171201858.03%804139757.55%775130159.57%1953107614858561773853
21Phantoms5410000025101521100000862330000001741380.800254267011261381311319610391074102854100336913917423.53%17382.35%11171201858.03%804139757.55%775130159.57%1953107614858561773853
22Reign6400100133231031001001131123300000020128110.917335588001261381311321810391074102854199715016521628.57%20480.00%21171201858.03%804139757.55%775130159.57%1953107614858561773853
23Roadrunners53100100302372100010015105321000001513270.700305282001261381311318710391074102854186678913021628.57%17288.24%01171201858.03%804139757.55%775130159.57%1953107614858561773853
24Rocket320000101275220000008441000001043161.000122032001261381311311410391074102854762925736233.33%10280.00%01171201858.03%804139757.55%775130159.57%1953107614858561773853
25Senators22000000853110000006421100000021141.0008111900126138131138810391074102854402022476116.67%6183.33%01171201858.03%804139757.55%775130159.57%1953107614858561773853
26Silver Knights2000000257-21000000123-11000000134-120.500571200126138131137710391074102854431025565120.00%5260.00%01171201858.03%804139757.55%775130159.57%1953107614858561773853
27Stars21100000990110000006241010000037-420.5009162500126138131137810391074102854672818407228.57%9455.56%01171201858.03%804139757.55%775130159.57%1953107614858561773853
28Wild22000000835110000005231100000031241.00081220001261381311363103910741028545818854500.00%40100.00%11171201858.03%804139757.55%775130159.57%1953107614858561773853
29Wolf Pack22000000154111100000010281100000052341.00015223700126138131137610391074102854371339575360.00%12191.67%01171201858.03%804139757.55%775130159.57%1953107614858561773853
30Wolves220000001037110000004221100000061541.0001016260012613813113581039107410285433944665360.00%7185.71%01171201858.03%804139757.55%775130159.57%1953107614858561773853
Total866111022644032301734330501133208115934331601131195115801440.837403644104722126138131133155103910741028541945697122623062527529.76%2896178.89%71171201858.03%804139757.55%775130159.57%1953107614858561773853
_Since Last GM Reset866111022644032301734330501133208115934331601131195115801440.837403644104722126138131133155103910741028541945697122623062527529.76%2896178.89%71171201858.03%804139757.55%775130159.57%1953107614858561773853
_Vs Conference53371001122243156872716501122116764026215000001278047830.7832434006432212613813113197810391074102854128844570014301603924.38%1864078.49%41171201858.03%804139757.55%775130159.57%1953107614858561773853
_Vs Division2425701111104554913104011115929301115300000452619561.167104166270211261381311389510391074102854487191368646671725.37%801877.50%11171201858.03%804139757.55%775130159.57%1953107614858561773853

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
86144W34036441047315519456971226230622
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8661112264403230
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
433051133208115
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
433161131195115
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2527529.76%2896178.89%7
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
1039107410285412613813113
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
1171201858.03%804139757.55%775130159.57%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1953107614858561773853


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
213Griffins1Thunderbirds2WSommaire du match
436Bears2Thunderbirds1LSommaire du match
556Thunderbirds2Marlies4LSommaire du match
665Roadrunners6Thunderbirds5LXSommaire du match
778Thunderbirds5Reign3WSommaire du match
995Thunderbirds8Phantoms3WSommaire du match
10109Islanders5Thunderbirds2LSommaire du match
11127Thunderbirds6Reign2WSommaire du match
12141Islanders1Thunderbirds7WSommaire du match
14159Reign4Thunderbirds6WSommaire du match
15171Thunderbirds1Barracuda2LXSommaire du match
16192Americans5Thunderbirds3LSommaire du match
17203Thunderbirds6Roadrunners5WSommaire du match
18213Thunderbirds4Monsters3WSommaire du match
19235Rocket2Thunderbirds3WSommaire du match
20248Thunderbirds4Griffins2WSommaire du match
22264Griffins0Thunderbirds3WSommaire du match
24283Condors2Thunderbirds5WSommaire du match
25299Thunderbirds6Marlies5WSommaire du match
27312Thunderbirds6Griffins1WSommaire du match
28322Wolf Pack2Thunderbirds10WSommaire du match
29343IceHogs2Thunderbirds6WSommaire du match
30361Thunderbirds3Stars7LSommaire du match
31374Senators4Thunderbirds6WSommaire du match
32393Thunderbirds3Barracuda2WSommaire du match
33401Thunderbirds10Comets3WSommaire du match
34417Rocket2Thunderbirds5WSommaire du match
35432Thunderbirds2Senators1WSommaire du match
36443Reign3Thunderbirds4WXSommaire du match
38463Thunderbirds4Heat1WSommaire du match
39479Moose2Thunderbirds3WXXSommaire du match
40496Thunderbirds9Reign7WSommaire du match
41506Islanders3Thunderbirds5WSommaire du match
42525Thunderbirds8Checkers4WSommaire du match
43537Monsters1Thunderbirds5WSommaire du match
44551Thunderbirds5Wolf Pack2WSommaire du match
45569Bruins4Thunderbirds10WSommaire du match
47591Thunderbirds4Eagles5LSommaire du match
48604Gulls6Thunderbirds7WXXSommaire du match
49623Thunderbirds3Wild1WSommaire du match
50634Wild2Thunderbirds5WSommaire du match
51654Thunderbirds5Phantoms1WSommaire du match
52667Comets2Thunderbirds6WSommaire du match
53686Thunderbirds6Wolves1WSommaire du match
54694Thunderbirds5Marlies3WSommaire du match
55705Wolves2Thunderbirds4WSommaire du match
57725Barracuda2Thunderbirds6WSommaire du match
58748Thunderbirds5Admirals2WSommaire du match
59755Stars2Thunderbirds6WSommaire du match
60771Thunderbirds4IceHogs1WSommaire du match
62787Roadrunners4Thunderbirds10WSommaire du match
64808Penguins1Thunderbirds6WSommaire du match
65823Thunderbirds3Roadrunners5LSommaire du match
66836Thunderbirds2Bruins1WXXSommaire du match
67848Heat3Thunderbirds6WSommaire du match
68864Thunderbirds3Silver Knights4LXXSommaire du match
70878Thunderbirds5Gulls4WXXSommaire du match
71891Admirals3Thunderbirds2LXXSommaire du match
72909Thunderbirds4Phantoms0WSommaire du match
73921Crunch1Thunderbirds5WSommaire du match
75940Phantoms5Thunderbirds3LSommaire du match
77957Thunderbirds6Roadrunners3WSommaire du match
78973Canucks2Thunderbirds7WSommaire du match
79984Thunderbirds9Canucks2WSommaire du match
811000Thunderbirds4Moose2WSommaire du match
821016Phantoms1Thunderbirds5WSommaire du match
831032Eagles3Thunderbirds4WSommaire du match
851048Thunderbirds1Condors3LSommaire du match
861061Thunderbirds2Crunch1WXSommaire du match
871076Thunderbirds6Islanders4WSommaire du match
881082Reign4Thunderbirds3LXXSommaire du match
901106Thunderbirds4Rocket3WXXSommaire du match
911120Marlies3Thunderbirds7WSommaire du match
921138Silver Knights3Thunderbirds2LXXSommaire du match
931156Americans2Thunderbirds6WSommaire du match
951173Thunderbirds1Islanders3LSommaire du match
961182Thunderbirds6Penguins3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971192Thunderbirds4Americans1WSommaire du match
981205Marlies1Thunderbirds2WSommaire du match
1001230Griffins3Thunderbirds4WXXSommaire du match
1031254Checkers1Thunderbirds3WSommaire du match
1041264Thunderbirds4Monsters1WSommaire du match
1051281Bears5Thunderbirds3LSommaire du match
1061289Thunderbirds4Bears2WSommaire du match
1081309Bears3Thunderbirds5WSommaire du match
1101329Thunderbirds3Bears2WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance84,37942,457
Assistance PCT98.12%98.74%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2950 - 98.32% 99,521$4,279,422$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
7,226,043$ 5,285,534$ 5,285,534$ 2,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
47,192$ 5,194,902$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 65,049$ 0$




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

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 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

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