Seattle Thunderbirds
GP: 41 | W: 23 | L: 12 | OTL: 6 | P: 52
GF: 211 | GA: 189 | PP%: 32.43% | PK%: 66.36%
DG: Jonathan | Morale : 53 | Moyenne d'Équipe : 59
Prochain matchs #637 vs Worcester Sharks
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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
1Chris TerryX100.007369836669778068506565676254546869630311800,000$
2Peter CehlarikX100.007875866775767965506263676047476764620251700,000$
3Matt Read (C)XXX100.007266856466747862505362695969706468620341800,000$
4Stefan NoesenXX100.008445777475596964375571612558596857610281700,000$
5Logan BrownX100.006744946285596972627556572546466164610222875,000$
6Greg CareyX100.007671886371768160755362665950506473610301750,000$
7Brett SutterXX100.007673826373747859745557665454546274600331800,000$
8J.T. BrownXX100.006560756660747957715054645168715963590301750,000$
9Paul ThompsonXXX100.007174656674757960505560625745456267590321750,000$
10Ryan SchmelzerX100.007669916169727656705751634844445963570271500,000$
11T.J. TynanXX100.006340956258518263345655562545455947550281800,000$
12Yannick WeberXX100.007343897772646958254447667570715864630321900,000$
13Jacob MacDonaldX100.007874886774778261255255675249496358630271725,000$
14Matt TennysonX100.007944907076596453255147612558585863600301700,000$
15Vincent LoVerdeX100.007873896273758250254441633944445571590311700,000$
16Joey LaLeggiaX100.007264896864737854454548614646465854590281700,000$
17Logan StanleyX100.007887566287687447253741623944445260580222863,333$
18Rob O'GaraX100.008381876381555748253645654344445566570271925,000$
Rayé
1Sam CarrickXS17068766568767967806170636746466853620291700,000$
2Kody Clark (R)X100.007166836066596250504947594544445423520211839,168$
3Dmitry Osipov (R)X100.007684586584626842252840603844444919550241500,001$
4Vincent Desharnais (R)X100.008187685687474941252839623744444820530241500,001$
MOYENNE D'ÉQUIPE100.00756682657367735745515363475151605759
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
1Zane McIntyre100.00596784795863536259583044446062600
Rayé
MOYENNE D'ÉQUIPE100.0059678479586353625958304444606260
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien66747469847863CAN56360,000$


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
1Chris TerrySeattle Thunderbirds (PIT)LW413244764664060602316613713.85%2485720.925162120841013741145.05%2223313001.7726323443
2Sam CarrickSeattle Thunderbirds (PIT)C41244670587256389182489713.19%2379119.324172116871016313256.90%10143317001.7702122622
3Stefan NoesenSeattle Thunderbirds (PIT)LW/RW412927561636106553153437518.95%1971417.44931216780000104140.98%615215031.5711020452
4Peter CehlarikSeattle Thunderbirds (PIT)LW412927561627156052158397418.35%2276618.7062813660006774244.44%362414021.4625111315
5Logan BrownSeattle Thunderbirds (PIT)C4118355319553758121267814.88%1066816.30077969000003248.54%5811913001.5900001312
6Matt ReadSeattle Thunderbirds (PIT)C/LW/RW419243369155675283286210.84%1373117.842576790000180244.23%522119000.9001335013
7Paul ThompsonSeattle Thunderbirds (PIT)C/LW/RW4111213285220684211251819.82%1656513.79000030003490147.73%442610001.1300211020
8Brett SutterSeattle Thunderbirds (PIT)C/LW41111728105735442988255812.50%1554013.17000060002242165.00%201018011.0400205202
9Greg CareySeattle Thunderbirds (PIT)C411610261044305461113326314.16%1056813.880000130001112156.79%368179000.9101204102
10Yannick WeberSeattle Thunderbirds (PIT)RW/D4122224815557739149362.20%71112327.4108889900028800100.00%12037000.4305001001
11Jacob MacDonaldSeattle Thunderbirds (PIT)D4171724-11098555557129259.86%6893722.876410989000375200.00%01240000.5101377000
12Joey LaLeggiaSeattle Thunderbirds (PIT)D41213154191530494721184.26%3777218.85213253000050000.00%0634000.3900030001
13Matt TennysonSeattle Thunderbirds (PIT)D412131572039393919145.13%4579619.43213361011056000.00%01032000.3800000001
14J.T. BrownSeattle Thunderbirds (PIT)LW/RW418513-540323066183412.12%83729.0800001000001050.00%10137000.7000000011
15Ryan SchmelzerSeattle Thunderbirds (PIT)C417613-520342553273113.21%83699.0000000000001059.31%14549000.7000000100
16T.J. TynanSeattle Thunderbirds (PIT)C/RW264812-30011115519347.27%626110.060000000000000.00%5144000.9200000000
17Vincent LoVerdeSeattle Thunderbirds (PIT)D410771544302431175100.00%2852812.880000800002000.00%0314000.2700312000
18Logan StanleySeattle Thunderbirds (PIT)D410551763352942159130.00%3148811.9300000000017000.00%019000.2000133010
19Rob O'GaraSeattle Thunderbirds (PIT)D37011417151253150.00%62075.620000300004000.00%005000.1000201000
20Dmitry OsipovSeattle Thunderbirds (PIT)D1000-120100000.00%066.270000000000000.00%000000.0000000000
21Kody ClarkSeattle Thunderbirds (PIT)RW4000100616120.00%2369.230000000000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne765211348559135742420848857170455694712.38%4621210715.83366410010280721326593231353.05%2560318319060.92522232536241825
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
1Zane McIntyreSeattle Thunderbirds (PIT)4022660.8894.062263001531375813500.55020393042
Stats d'équipe Total ou en Moyenne4022660.8894.062263001531375813500.55020393042


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Brett SutterSeattle Thunderbirds (PIT)C/LW331987-06-02No200 Lbs6 ft0YesNoNo1Pro & Farm800,000$0$0$NoLien
Chris TerrySeattle Thunderbirds (PIT)LW311989-04-07No195 Lbs5 ft10YesNoNo1Pro & Farm800,000$0$0$NoLien
Dmitry OsipovSeattle Thunderbirds (PIT)D241996-10-04Yes229 Lbs6 ft4NoNoNo1Pro & Farm500,001$0$0$No
Greg CareySeattle Thunderbirds (PIT)C301990-04-05No195 Lbs6 ft0YesNoNo1Pro & Farm750,000$0$0$NoLien
J.T. BrownSeattle Thunderbirds (PIT)LW/RW301990-07-02No169 Lbs5 ft10YesNoNo1Pro & Farm750,000$0$0$NoLien
Jacob MacDonaldSeattle Thunderbirds (PIT)D271993-02-26No207 Lbs6 ft0NoNoNo1Pro & Farm725,000$0$0$NoLien
Joey LaLeggiaSeattle Thunderbirds (PIT)D281992-06-24No182 Lbs5 ft9NoNoNo1Pro & Farm700,000$0$0$NoLien
Kody ClarkSeattle Thunderbirds (PIT)RW211999-10-12Yes179 Lbs6 ft1NoNoNo1Pro & Farm839,168$0$0$No
Logan BrownSeattle Thunderbirds (PIT)C221998-03-04No220 Lbs6 ft6NoNoNo2Pro & Farm875,000$0$0$No875,000$Lien
Logan StanleySeattle Thunderbirds (PIT)D221998-05-25No228 Lbs6 ft7NoNoNo2Pro & Farm863,333$0$0$No863,333$Lien
Matt ReadSeattle Thunderbirds (PIT)C/LW/RW341986-06-13No185 Lbs5 ft10NoNoNo1Pro & Farm800,000$0$0$NoLien
Matt TennysonSeattle Thunderbirds (PIT)D301990-04-23No205 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Paul ThompsonSeattle Thunderbirds (PIT)C/LW/RW321988-11-30No200 Lbs6 ft1YesNoNo1Pro & Farm750,000$0$0$NoLien
Peter CehlarikSeattle Thunderbirds (PIT)LW251995-05-12No202 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Rob O'GaraSeattle Thunderbirds (PIT)D271993-07-06No215 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$NoLien
Ryan SchmelzerSeattle Thunderbirds (PIT)C271993-07-28No183 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Sam CarrickSeattle Thunderbirds (PIT)C291992-02-04No188 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Stefan NoesenSeattle Thunderbirds (PIT)LW/RW281993-02-12No205 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
T.J. TynanSeattle Thunderbirds (PIT)C/RW281992-02-24No165 Lbs5 ft8NoNoNo1Pro & Farm800,000$0$0$NoLien
Vincent DesharnaisSeattle Thunderbirds (PIT)D241996-05-29Yes227 Lbs6 ft7NoNoNo1Pro & Farm500,001$0$0$No
Vincent LoVerdeSeattle Thunderbirds (PIT)D311989-04-13No205 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Yannick WeberSeattle Thunderbirds (PIT)RW/D321988-09-23No200 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$NoLien
Zane McIntyreSeattle Thunderbirds (PIT)G281992-08-20No206 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2327.96200 Lbs6 ft11.09738,152$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris TerryMatt Read33122
2Peter CehlarikLogan BrownStefan Noesen30122
3Brett SutterGreg CareyPaul Thompson20122
4J.T. BrownRyan SchmelzerT.J. Tynan17122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Yannick WeberJacob MacDonald40122
2Matt TennysonJoey LaLeggia30122
3Vincent LoVerdeLogan Stanley20122
4Rob O'GaraYannick Weber10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Chris TerryMatt Read60122
2Peter CehlarikLogan BrownStefan Noesen40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Yannick WeberJacob MacDonald60122
2Matt TennysonJoey LaLeggia40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chris TerryPeter Cehlarik60122
2Matt Read40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Yannick WeberJacob MacDonald60122
2Matt TennysonJoey LaLeggia40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Chris Terry60122Yannick WeberJacob MacDonald60122
2Peter Cehlarik40122Matt TennysonJoey LaLeggia40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Chris TerryPeter Cehlarik60122
2Matt Read40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Yannick WeberJacob MacDonald60122
2Matt TennysonJoey LaLeggia40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris TerryMatt ReadYannick WeberJacob MacDonald
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chris TerryMatt ReadYannick WeberJacob MacDonald
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Greg Carey, Brett Sutter, Paul ThompsonGreg Carey, Brett SutterPaul Thompson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Vincent LoVerde, Logan Stanley, Rob O'GaraVincent LoVerdeLogan Stanley, Rob O'Gara
Tirs de Pénalité
Yannick Weber, Chris Terry, Peter Cehlarik, , Matt Read
Gardien
#1 : Zane McIntyre, #2 :


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
LigueDomicileVisiteur
# 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
1Boisbriand Armada11000000541110000005410000000000021.000581300409278535545611536383791622400.00%3233.33%051094054.26%43784251.90%41177852.83%893510835375758381
2Bridgeport Sound Tigers220000001266110000007341100000053241.00012183000409278594545611536386922174810550.00%10100.00%051094054.26%43784251.90%41177852.83%893510835375758381
3Calgary Hitman1010000048-4000000000001010000048-400.00046100040927853654561153638421340194125.00%50100.00%051094054.26%43784251.90%41177852.83%893510835375758381
4Chicoutimi Sagueneens2100100012102110000007611000100054141.0001219310040927858454561153638813430296233.33%10460.00%051094054.26%43784251.90%41177852.83%893510835375758381
5Grand Rapids Griffins1010000024-2000000000001010000024-200.00024600409278531545611536383981120100.00%30100.00%051094054.26%43784251.90%41177852.83%893510835375758381
6Hershey Bears1000010089-11000010089-10000000000010.500811190040927854454561153638461671522100.00%10100.00%051094054.26%43784251.90%41177852.83%893510835375758381
7Las Vegas Wranglers1100000010550000000000011000000105521.00010182800409278537545611536385213451833100.00%5260.00%051094054.26%43784251.90%41177852.83%893510835375758381
8Laval Rockets7520000041365422000002126-533000000201010100.7144168109004092785283545611536382818115116618527.78%19668.42%151094054.26%43784251.90%41177852.83%893510835375758381
9Manchester Monarchs11000000532000000000001100000053221.0005712004092785435456115363836819134125.00%2150.00%051094054.26%43784251.90%41177852.83%893510835375758381
10Manitoba Moose2200000012842200000012840000000000041.0001220320040927858354561153638712923408450.00%4250.00%051094054.26%43784251.90%41177852.83%893510835375758381
11Milwaukee Admirals11000000927110000009270000000000021.0009162500409278553545611536381945226100.00%10100.00%051094054.26%43784251.90%41177852.83%893510835375758381
12Peoria Riverman311000011215-31100000041320100001814-630.5001220320040927851235456115363810232777110330.00%11463.64%051094054.26%43784251.90%41177852.83%893510835375758381
13Philadelphia Phantoms32100000141222200000010461010000048-440.66714243800409278513654561153638973053612150.00%10460.00%051094054.26%43784251.90%41177852.83%893510835375758381
14Portland Pirates42200000191721010000045-1321000001512340.500193352004092785169545611536381384025818225.00%10550.00%051094054.26%43784251.90%41177852.83%893510835375758381
15Rimouski Oceanic210000011183110000006241000000156-130.7501117280040927858754561153638572331454250.00%8362.50%051094054.26%43784251.90%41177852.83%893510835375758381
16Rochester Americans1010000067-11010000067-10000000000000.0006915004092785345456115363845141822200.00%4175.00%051094054.26%43784251.90%41177852.83%893510835375758381
17Sherbrooke Phoenix1010000068-2000000000001010000068-200.00061117004092785455456115363832719256233.33%220.00%051094054.26%43784251.90%41177852.83%893510835375758381
18Texas Stars622000022023-3311000011012-2311000011011-160.500203656004092785245545611536382135810811417211.76%9188.89%151094054.26%43784251.90%41177852.83%893510835375758381
19Victoriaville Tigres1000000134-1000000000001000000134-110.5003580040927854854561153638482941811100.00%20100.00%051094054.26%43784251.90%41177852.83%893510835375758381
Total4122120110521118922201350010110989202197010041021002520.63421135056100409278517105456115363815054707468531113632.43%1103766.36%251094054.26%43784251.90%41177852.83%893510835375758381
_Since Last GM Reset4122120110521118922201350010110989202197010041021002520.63421135056100409278517105456115363815054707468531113632.43%1103766.36%251094054.26%43784251.90%41177852.83%893510835375758381
_Vs Conference331890110416314815171140010189761316750100374722430.6521632704330040927851379545611536381194373533690862832.56%862966.28%251094054.26%43784251.90%41177852.83%893510835375758381
_Vs Division710700003292544440000119145363000021011-1231.643295281004092785298545611536382326216014018211.11%10190.00%151094054.26%43784251.90%41177852.83%893510835375758381

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4152L22113505611710150547074685300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4122121105211189
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
20135010110989
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
21971004102100
Derniers 10 Matchs
WLOTWOTL SOWSOL
720001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1113632.43%1103766.36%2
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
545611536384092785
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
51094054.26%43784251.90%41177852.83%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
893510835375758381


Derniers Match 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 - 2020-11-107Seattle Thunderbirds8Laval Rockets4WSommaire du Match
2 - 2020-11-1118Seattle Thunderbirds3Peoria Riverman8LSommaire du Match
3 - 2020-11-1228Texas Stars5Seattle Thunderbirds4LXXSommaire du Match
6 - 2020-11-1551Texas Stars1Seattle Thunderbirds4WSommaire du Match
8 - 2020-11-1772Laval Rockets10Seattle Thunderbirds6LSommaire du Match
9 - 2020-11-1879Seattle Thunderbirds3Texas Stars5LSommaire du Match
11 - 2020-11-2089Seattle Thunderbirds5Laval Rockets3WSommaire du Match
13 - 2020-11-22114Portland Pirates5Seattle Thunderbirds4LSommaire du Match
14 - 2020-11-23128Seattle Thunderbirds2Portland Pirates4LSommaire du Match
16 - 2020-11-25141Seattle Thunderbirds2Texas Stars3LXXSommaire du Match
17 - 2020-11-26151Chicoutimi Sagueneens6Seattle Thunderbirds7WSommaire du Match
19 - 2020-11-28172Laval Rockets4Seattle Thunderbirds5WSommaire du Match
21 - 2020-11-30190Seattle Thunderbirds6Portland Pirates4WSommaire du Match
22 - 2020-12-01203Peoria Riverman1Seattle Thunderbirds4WSommaire du Match
24 - 2020-12-03217Seattle Thunderbirds5Rimouski Oceanic6LXXSommaire du Match
26 - 2020-12-05235Philadelphia Phantoms1Seattle Thunderbirds3WSommaire du Match
28 - 2020-12-07254Seattle Thunderbirds5Bridgeport Sound Tigers3WSommaire du Match
29 - 2020-12-08265Laval Rockets2Seattle Thunderbirds3WSommaire du Match
31 - 2020-12-10281Seattle Thunderbirds3Victoriaville Tigres4LXXSommaire du Match
33 - 2020-12-12292Seattle Thunderbirds10Las Vegas Wranglers5WSommaire du Match
34 - 2020-12-13308Milwaukee Admirals2Seattle Thunderbirds9WSommaire du Match
36 - 2020-12-15322Seattle Thunderbirds7Portland Pirates4WSommaire du Match
38 - 2020-12-17337Manitoba Moose4Seattle Thunderbirds5WSommaire du Match
40 - 2020-12-19358Laval Rockets10Seattle Thunderbirds7LSommaire du Match
42 - 2020-12-21377Seattle Thunderbirds4Calgary Hitman8LSommaire du Match
43 - 2020-12-22386Seattle Thunderbirds5Chicoutimi Sagueneens4WXSommaire du Match
44 - 2020-12-23397Rochester Americans7Seattle Thunderbirds6LSommaire du Match
47 - 2020-12-26419Seattle Thunderbirds4Philadelphia Phantoms8LSommaire du Match
48 - 2020-12-27429Hershey Bears9Seattle Thunderbirds8LXSommaire du Match
51 - 2020-12-30450Philadelphia Phantoms3Seattle Thunderbirds7WSommaire du Match
52 - 2020-12-31466Seattle Thunderbirds2Grand Rapids Griffins4LSommaire du Match
54 - 2021-01-02481Manitoba Moose4Seattle Thunderbirds7WSommaire du Match
56 - 2021-01-04495Seattle Thunderbirds5Texas Stars3WSommaire du Match
58 - 2021-01-06514Seattle Thunderbirds5Manchester Monarchs3WSommaire du Match
59 - 2021-01-07521Seattle Thunderbirds7Laval Rockets3WSommaire du Match
60 - 2021-01-08531Boisbriand Armada4Seattle Thunderbirds5WSommaire du Match
63 - 2021-01-11555Bridgeport Sound Tigers3Seattle Thunderbirds7WSommaire du Match
64 - 2021-01-12575Rimouski Oceanic2Seattle Thunderbirds6WSommaire du Match
66 - 2021-01-14588Seattle Thunderbirds5Peoria Riverman6LXXSommaire du Match
67 - 2021-01-15603Seattle Thunderbirds6Sherbrooke Phoenix8LSommaire du Match
68 - 2021-01-16615Texas Stars6Seattle Thunderbirds2LSommaire du Match
71 - 2021-01-19637Worcester Sharks-Seattle Thunderbirds-
73 - 2021-01-21650Seattle Thunderbirds-Worcester Sharks-
74 - 2021-01-22661Seattle Thunderbirds-Hershey Bears-
76 - 2021-01-24679Drummondville Voltigeurs-Seattle Thunderbirds-
78 - 2021-01-26695Seattle Thunderbirds-Brampton Battalion-
79 - 2021-01-27707Hershey Bears-Seattle Thunderbirds-
81 - 2021-01-29725Seattle Thunderbirds-Chicoutimi Sagueneens-
82 - 2021-01-30738Chicoutimi Sagueneens-Seattle Thunderbirds-
83 - 2021-01-31753Seattle Thunderbirds-Hershey Bears-
85 - 2021-02-02771Portland Pirates-Seattle Thunderbirds-
88 - 2021-02-05792Chicoutimi Sagueneens-Seattle Thunderbirds-
89 - 2021-02-06808Seattle Thunderbirds-Binghampton Senators-
90 - 2021-02-07816Seattle Thunderbirds-Rimouski Oceanic-
92 - 2021-02-09835Toronto Marlies-Seattle Thunderbirds-
94 - 2021-02-11854Lowell Devils-Seattle Thunderbirds-
96 - 2021-02-13869Seattle Thunderbirds-Bridgeport Sound Tigers-
98 - 2021-02-15884Drummondville Voltigeurs-Seattle Thunderbirds-
99 - 2021-02-16889Seattle Thunderbirds-Peoria Riverman-
100 - 2021-02-17903Seattle Thunderbirds-Binghampton Senators-
102 - 2021-02-19914Seattle Thunderbirds-Chicago Wolves-
104 - 2021-02-21930Quebec Rempart-Seattle Thunderbirds-
105 - 2021-02-22946Seattle Thunderbirds-Manitoba Moose-
107 - 2021-02-24959Worcester Sharks-Seattle Thunderbirds-
109 - 2021-02-26977Seattle Thunderbirds-Chicago Wolves-
111 - 2021-02-28992Texas Stars-Seattle Thunderbirds-
113 - 2021-03-021015Portland Pirates-Seattle Thunderbirds-
115 - 2021-03-041035Seattle Thunderbirds-Hartford Wolf Pack-
116 - 2021-03-051049Lake Erie Monsters-Seattle Thunderbirds-
118 - 2021-03-071068Seattle Thunderbirds-Quebec Rempart-
120 - 2021-03-091081Chicago Wolves-Seattle Thunderbirds-
121 - 2021-03-101090Seattle Thunderbirds-Hartford Wolf Pack-
123 - 2021-03-121105Seattle Thunderbirds-London Knights-
124 - 2021-03-131116Hartford Wolf Pack-Seattle Thunderbirds-
126 - 2021-03-151139Seattle Thunderbirds-London Knights-
127 - 2021-03-161147Grand Rapids Griffins-Seattle Thunderbirds-
129 - 2021-03-181162Seattle Thunderbirds-Quebec Rempart-
130 - 2021-03-191175Manchester Monarchs-Seattle Thunderbirds-
133 - 2021-03-221196Seattle Thunderbirds-Laval Rockets-
134 - 2021-03-231207Peoria Riverman-Seattle Thunderbirds-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2021-03-281237Grand Rapids Griffins-Seattle Thunderbirds-
142 - 2021-03-311258Peoria Riverman-Seattle Thunderbirds-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance30,78515,676
Assistance PCT76.96%78.38%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
21 2323 - 77.44% 97,790$1,955,798$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
851,234$ 1,627,750$ 1,597,750$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 851,234$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,053,588$ 75 11,640$ 873,000$




LigueDomicileVisiteur
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