Sound Tigers

GP: 82 | W: 33 | L: 40 | OTL: 9 | P: 75
GF: 275 | GA: 310 | PP%: 15.63% | PK%: 75.11%
DG: Claude Desmarais | Morale : 50 | Moyenne d'Équipe : 51
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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 Moyen
1Carl GrundstromXX100.00874582767063796325755559254646050610212925,000$
2C.J. SmithX100.00716590686771796245546070575555050610241925,000$
3Denis MalginXX100.00714290846262646446635954256363050610221640,000$
4Seth GriffithXX100.00746686616776816048596265624949050600262800,000$
5Tyler GraovacX100.00837990728164615467475770545151050590261750,000$
6Petrus Palmu (R)XX100.00453685745773876459605647596060050590224825,833$
7Brandon Hagel (R)X100.00686381686378845850496260594444050580214880,833$
8Zac DalpeXX100.00767287547359585869526567625859050580296692,857$
9Filip Sandberg (R)XXX100.00494389706671905860545148546666050570254525,000$
10Andrei Svetlakov (R)X100.00555183677366815563524851506262050560234525,000$
11Jacob NilssonXX100.00726687656673805025414360414444050530252825,000$
12Jordan SchmaltzX100.00726485687261675425464266394949050590253725,000$
13Jake BischoffX100.00747187697169745125364062394949050580253725,000$
14David Farrance (R)X100.00524783696863745625525053535454050560204700,000$
15Ryan SproulX100.004735846568513344354541704640360505202611,200,000$
16Samuel Morin (R)X100.00807981697936354125283961374444050520244750,000$
17Julius Bergman (R)X100.00374545456034343745373745413230050400233725,000$
Rayé
1Wade Allison (R)X100.00414545457139394145414145433230050420212825,000$
2Robin Kovacs (R)XX100.00374343435135353743373743403230050380221700,000$
3Tony Cameranesi (R)X100.00313737374529293137313137333230050340262600,000$
4Duncan SiemensX100.00534362586946323735334165463936050490262850,000$
5Veeti Vainio (R)X100.00323737376931313237323237343230050360221525,000$
MOYENNE D'ÉQUIPE100.0059537562675760504247485645474605053
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
1Matiss Kivlenieks100.0051547269515450555150304444050530
2Ryan Bednard (R)100.0050526585495050554949304444050530
Rayé
1Dylan Ferguson100.0032454469324141324159563532050420
2Tyler Wall (R)100.0034373682343333333333333230050390
3Jake Kupsky (R)100.0033373575333232323232313230050370
MOYENNE D'ÉQUIPE100.004045507640424141414536373605045
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1C.J. SmithSound Tigers (Isl)LW763046761375911733391032828.85%36157820.7769156317610131313039.39%19800000.9617010543
2Tyler GraovacSound Tigers (Isl)C82274875-134715230257344972267.85%24157119.1771017701910005265155.29%195700010.9501011581
3Denis MalginSound Tigers (Isl)C/RW82225375412082237275702028.00%18170420.7829113618821371970146.03%205300000.8849000333
4Seth GriffithSound Tigers (Isl)LW/RW8233356863951091422677919112.36%29152918.663583919211231036454.48%14500000.8935001442
5Petrus PalmuSound Tigers (Isl)LW/RW78263864-18207128261711709.96%6147118.86581337178000082259.43%10600000.8712000024
6Zac DalpeSound Tigers (Isl)C/RW82243458-47125122160286721938.39%29127415.5522425680000142056.11%103900000.9100203132
7Brandon HagelSound Tigers (Isl)LW822631578315102151288832059.03%16128115.621128320001342041.88%11700010.8900100432
8Carl GrundstromSound Tigers (Isl)LW/RW53212142-93951921371964613910.71%22123123.241232411400021053131.27%37100000.6826000431
9Filip SandbergSound Tigers (Isl)C/LW/RW8214264022016131163411318.59%10128315.660004130000860152.12%42400000.6200000031
10Jordan SchmaltzSound Tigers (Isl)D7683038-94151537712642756.35%156178523.50189351670001156010.00%000000.4300000002
11David FarranceSound Tigers (Isl)D7752833-512042527824566.41%104161220.94358241720111160000.00%000000.4100000002
12Ryan SproulSound Tigers (Isl)D8272532228068758625638.14%135143417.500111775000071100.00%000000.4500000011
13Jake BischoffSound Tigers (Isl)D8262329-125515172578734716.90%140194223.69235291920110170000.00%000000.3000111001
14Duncan SiemensSound Tigers (Isl)D7271926-24201184257303712.28%99120216.70213320000062000.00%000000.4300000102
15Samuel MorinSound Tigers (Isl)D825914-1735232346217378.06%114155518.97011171450110118110.00%000000.1800010103
16Andrei SvetlakovSound Tigers (Isl)C82268-52013697117632.82%54895.97000020001210058.61%54600000.3300000001
17Wade AllisonSound Tigers (Isl)RW72505-1013519111931426.32%65417.5200002000002047.73%4400000.1800001020
18Jacob NilssonSound Tigers (Isl)C/LW26213-919520213411295.88%62218.5100000000071037.50%2400000.2700010001
19Tony CameranesiSound Tigers (Isl)C4011020201100.00%0266.6500001000000016.67%1200000.7500000000
20Julius BergmanSound Tigers (Isl)D150001952922010.00%823915.9500008000015000.00%000000.0000001000
21Robin KovacsSound Tigers (Isl)LW/RW9000-200210000.00%1384.2900000000000075.00%400000.0000000000
22Veeti VainioSound Tigers (Isl)D5000-280700010.00%47715.590000000005000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1383270474744-7758410018281957304286621868.88%9682409517.4235651004311944459241497281250.72%704000020.621130458283632
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
1Matiss KivlenieksSound Tigers (Isl)64243360.9023.69358210022022460300.741276121021
2Ryan BednardSound Tigers (Isl)299730.9143.71139140869980100.66732161300
Stats d'équipe Total ou en Moyenne93334090.9063.69497414030632440400.733308282321


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 RestantCap 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
Andrei SvetlakovSound Tigers (Isl)C231996-04-06Yes207 Lbs6 ft0NoNoNo4Pro & Farm525,000$52,500$0$No525,000$525,000$525,000$Lien
Brandon HagelSound Tigers (Isl)LW211998-08-26Yes174 Lbs5 ft11NoNoNo4Pro & Farm880,833$88,083$0$No880,833$880,833$880,833$Lien
C.J. SmithSound Tigers (Isl)LW241994-12-01No185 Lbs5 ft11NoNoNo1Pro & Farm925,000$92,500$0$NoLien
Carl GrundstromSound Tigers (Isl)LW/RW211997-12-01No194 Lbs6 ft0NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
David FarranceSound Tigers (Isl)D201999-06-23Yes190 Lbs5 ft11NoNoNo4Pro & Farm700,000$70,000$0$No700,000$700,000$700,000$Lien
Denis MalginSound Tigers (Isl)C/RW221997-01-18No177 Lbs5 ft9NoNoNo1Pro & Farm640,000$64,000$0$NoLien
Duncan SiemensSound Tigers (Isl)D261993-09-07No210 Lbs6 ft3NoNoNo2Pro & Farm850,000$85,000$0$No850,000$Lien
Dylan FergusonSound Tigers (Isl)G211998-09-20No189 Lbs6 ft1NoNoNo2Pro & Farm700,000$70,000$0$No700,000$Lien
Filip SandbergSound Tigers (Isl)C/LW/RW251994-07-23Yes190 Lbs5 ft9NoNoNo4Pro & Farm525,000$52,500$0$No525,000$525,000$525,000$Lien
Jacob NilssonSound Tigers (Isl)C/LW251993-10-12No181 Lbs5 ft11NoNoNo2Pro & Farm825,000$82,500$0$No825,000$Lien
Jake BischoffSound Tigers (Isl)D251994-07-25No194 Lbs6 ft1YesNoNo3Pro & Farm725,000$72,500$0$No725,000$725,000$Lien
Jake KupskySound Tigers (Isl)G231995-10-27Yes200 Lbs6 ft4NoNoNo1Pro & Farm525,000$52,500$0$NoLien
Jordan SchmaltzSound Tigers (Isl)D251993-10-08No190 Lbs6 ft2NoNoNo3Pro & Farm725,000$72,500$0$No725,000$725,000$Lien
Julius BergmanSound Tigers (Isl)D231995-11-02Yes187 Lbs6 ft1NoNoNo3Pro & Farm725,000$72,500$0$No725,000$725,000$Lien
Matiss KivlenieksSound Tigers (Isl)G231996-08-25No178 Lbs6 ft2NoNoNo4Pro & Farm925,000$92,500$0$No925,000$925,000$925,000$Lien
Petrus PalmuSound Tigers (Isl)LW/RW221997-07-16Yes172 Lbs5 ft6NoNoNo4Pro & Farm825,833$82,583$0$No825,833$825,833$825,833$Lien
Robin KovacsSound Tigers (Isl)LW/RW221996-11-16Yes172 Lbs6 ft0NoNoNo1Pro & Farm700,000$70,000$0$NoLien
Ryan BednardSound Tigers (Isl)G221997-05-31Yes201 Lbs6 ft5NoNoNo2Pro & Farm817,500$81,750$0$No817,500$Lien
Ryan SproulSound Tigers (Isl)D261993-01-13No205 Lbs6 ft4NoNoNo1Pro & Farm1,200,000$120,000$0$NoLien
Samuel MorinSound Tigers (Isl)D241995-07-12Yes203 Lbs6 ft6NoNoNo4Pro & Farm750,000$75,000$0$No750,000$750,000$750,000$Lien
Seth GriffithSound Tigers (Isl)LW/RW261993-01-04No191 Lbs5 ft9NoNoNo2Pro & Farm800,000$80,000$0$No800,000$Lien
Tony CameranesiSound Tigers (Isl)C261993-08-12Yes162 Lbs5 ft9NoNoNo2Pro & Farm600,000$60,000$0$No600,000$Lien
Tyler GraovacSound Tigers (Isl)C261993-04-26No212 Lbs6 ft5YesNoNo1Pro & Farm750,000$75,000$0$NoLien
Tyler WallSound Tigers (Isl)G211998-01-14Yes215 Lbs6 ft3YesNoNo6Pro & Farm1,500,000$150,000$0$No1,500,000$1,500,000$1,500,000$1,500,000$1,500,000$Lien
Veeti VainioSound Tigers (Isl)D221997-06-16Yes209 Lbs6 ft2NoNoNo1Pro & Farm525,000$52,500$0$NoLien
Wade AllisonSound Tigers (Isl)RW211997-10-14Yes205 Lbs6 ft2NoNoNo2Pro & Farm825,000$82,500$0$No825,000$Lien
Zac DalpeSound Tigers (Isl)C/RW291989-10-31No199 Lbs6 ft2NoNoNo6Pro & Farm675,000$69,286$0$No725,000$800,000$725,000$675,000$625,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2723.48192 Lbs6 ft12.67781,080$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Denis MalginSeth Griffith40122
2C.J. SmithTyler GraovacPetrus Palmu30122
3Brandon HagelZac DalpeFilip Sandberg20122
4Jacob NilssonAndrei Svetlakov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzJake Bischoff40122
2David FarranceSamuel Morin30122
3Ryan SproulJulius Bergman20122
4Jordan SchmaltzJake Bischoff10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Denis MalginSeth Griffith60122
2C.J. SmithTyler GraovacPetrus Palmu40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzJake Bischoff60122
2David FarranceSamuel Morin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Denis Malgin60122
2C.J. SmithSeth Griffith40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzJake Bischoff60122
2David FarranceSamuel Morin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jordan SchmaltzJake Bischoff60122
2Denis Malgin40122David FarranceSamuel Morin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Denis Malgin60122
2C.J. SmithSeth Griffith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jordan SchmaltzJake Bischoff60122
2David FarranceSamuel Morin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Denis MalginSeth GriffithJordan SchmaltzJake Bischoff
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Denis MalginSeth GriffithJordan SchmaltzJake Bischoff
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zac Dalpe, Brandon Hagel, Filip SandbergZac Dalpe, Brandon HagelFilip Sandberg
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Sproul, Julius Bergman, David FarranceRyan SproulJulius Bergman, David Farrance
Tirs de Pénalité
, Denis Malgin, C.J. Smith, Seth Griffith, Petrus Palmu
Gardien
#1 : Ryan Bednard, #2 : Matiss Kivlenieks


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
1Admirals22000000752110000003211100000043141.0007132000111896912801002101899557601710385120.00%4175.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
2Baby Hawks21100000761110000004221010000034-120.500712190011189691261100210189955795262647800.00%6266.67%11504280953.54%1417293248.33%674139648.28%1924134119866001068523
3Bears40400000917-82020000049-52020000058-300.0009142300111896912142100210189955717045239611327.27%60100.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
4Bruins301011001214-220001100101001010000024-230.50012203200111896912102100210189955713435225611327.27%9277.78%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
5Cabaret Lady Mary Ann33000000188102200000013491100000054161.0001833510011189691218510021018995571023016785120.00%8187.50%11504280953.54%1417293248.33%674139648.28%1924134119866001068523
6Caroline413000001521-6211000001110120200000411-720.2501530450011189691212510021018995571825960838112.50%15753.33%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
7Chiefs211000008801010000046-21100000042220.5008142200111896912721002101899557752414447114.29%7271.43%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
8Chill20200000712-51010000036-31010000046-200.0007132000111896912671002101899557992520335120.00%90100.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
9Comets22000000532110000003211100000021141.00059140011189691271100210189955745226399222.22%3166.67%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
10Cougars30100110910-1200001106601010000034-130.500915240011189691210210021018995571214016561000.00%8362.50%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
11Crunch30100110810-22010010047-31000001043130.500814220011189691216810021018995571313610101700.00%40100.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
12Heat21100000880110000004311010000045-120.500813210011189691256100210189955780198424125.00%4250.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
13Jayhawks20200000510-51010000015-41010000045-100.0005101500111896912841002101899557903421444125.00%8187.50%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
14Las Vegas21000010963110000005321000001043141.000913220011189691271100210189955768121039800.00%5180.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
15Manchots411000021214-22010000158-32100000176140.50012223400111896912151100210189955715764297710110.00%12283.33%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
16Marlies30300000414-101010000025-32020000029-700.00045900111896912861002101899557112351560600.00%50100.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
17Minnesota220000001055110000004131100000064241.0001017270011189691297100210189955798281672200.00%80100.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
18Monarchs20200000512-71010000024-21010000038-500.0005914001118969127010021018995579132247610110.00%5340.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
19Monsters41300000911-22020000026-42110000075220.2509142300111896912117100210189955714949308210110.00%15473.33%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
20Monsters2010010048-41010000025-31000010023-110.25046100011189691267100210189955778291737200.00%6266.67%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
21Oceanics20100010610-4100000104311010000027-520.500671300111896912701002101899557912712407228.57%5260.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
22Oil Kings2020000069-31010000024-21010000045-100.00061016001118969126310021018995579233851800.00%3166.67%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
23Phantoms413000001018-82110000076120200000312-920.25010182800111896912131100210189955717761299610220.00%12375.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
24Rocket31200000911-21010000034-12110000067-120.33391524001118969121071002101899557114262560800.00%10190.00%11504280953.54%1417293248.33%674139648.28%1924134119866001068523
25Senators31100100131301000010045-12110000098130.5001324370011189691212810021018995571243424526116.67%9277.78%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
26Sharks21100000761110000006241010000014-320.5007132000111896912801002101899557632313483133.33%440.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
27Spiders412000011215-32020000038-52100000197230.37512223400111896912125100210189955717244379413323.08%18477.78%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
28Stars2110000078-11010000036-31100000042220.5007111800111896912891002101899557661483810330.00%4175.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
29Thunder3200000112931000000134-12200000095450.833122133001118969121271002101899557741712517228.57%6350.00%01504280953.54%1417293248.33%674139648.28%1924134119866001068523
Total82274001554275310-3541121901432137153-1641152100122138157-19750.4572754747490011189691230421002101899557324496859818302243515.63%2295775.11%41504280953.54%1417293248.33%674139648.28%1924134119866001068523
30Wolf Pack4300001022913210000101073220000001221081.000223759001118969121481002101899557134283710010330.00%11281.82%11504280953.54%1417293248.33%674139648.28%1924134119866001068523
_Since Last GM Reset82274001554275310-3541121901432137153-1641152100122138157-19750.4572754747490011189691230421002101899557324496859818302243515.63%2295775.11%41504280953.54%1417293248.33%674139648.28%1924134119866001068523
_Vs Conference46132401224147179-3222411012226885-1724913000027994-15380.413147252399001118969121624100210189955718075363379991242520.16%1303275.38%11504280953.54%1417293248.33%674139648.28%1924134119866001068523
_Vs Division28680001189105-161425000104254-121443000014751-4150.268891572460011189691293910021018995571141350245628721419.44%892275.28%11504280953.54%1417293248.33%674139648.28%1924134119866001068523

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8275L127547474930423244968598183000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8227401554275310
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4112191432137153
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4115210122138157
Derniers 10 Matchs
WLOTWOTL SOWSOL
540100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2243515.63%2295775.11%4
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
1002101899557111896912
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
1504280953.54%1417293248.33%674139648.28%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1924134119866001068523


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
3 - 2020-10-2415Bears6Sound Tigers2LSommaire du Match
5 - 2020-10-2633Oceanics3Sound Tigers4WXXSommaire du Match
7 - 2020-10-2837Oil Kings4Sound Tigers2LSommaire du Match
10 - 2020-10-3160Sound Tigers3Caroline4LSommaire du Match
11 - 2020-11-0168Cabaret Lady Mary Ann2Sound Tigers5WSommaire du Match
13 - 2020-11-0381Chiefs6Sound Tigers4LSommaire du Match
16 - 2020-11-06102Sound Tigers2Oceanics7LSommaire du Match
18 - 2020-11-08120Sound Tigers1Monsters2LSommaire du Match
23 - 2020-11-13146Jayhawks5Sound Tigers1LSommaire du Match
24 - 2020-11-14158Sound Tigers6Senators3WSommaire du Match
26 - 2020-11-16174Phantoms5Sound Tigers4LSommaire du Match
31 - 2020-11-21197Thunder4Sound Tigers3LXXSommaire du Match
32 - 2020-11-22208Sound Tigers4Crunch3WXXSommaire du Match
35 - 2020-11-25225Senators5Sound Tigers4LXSommaire du Match
37 - 2020-11-27239Manchots4Sound Tigers3LXXSommaire du Match
39 - 2020-11-29252Cabaret Lady Mary Ann2Sound Tigers8WSommaire du Match
43 - 2020-12-03282Marlies5Sound Tigers2LSommaire du Match
46 - 2020-12-06307Sound Tigers2Phantoms6LSommaire du Match
49 - 2020-12-09321Sound Tigers4Manchots2WSommaire du Match
51 - 2020-12-11335Manchots4Sound Tigers2LSommaire du Match
53 - 2020-12-13361Sound Tigers1Sharks4LSommaire du Match
55 - 2020-12-15372Sound Tigers4Admirals3WSommaire du Match
57 - 2020-12-17388Sound Tigers3Monarchs8LSommaire du Match
60 - 2020-12-20410Monsters3Sound Tigers1LSommaire du Match
62 - 2020-12-22421Sound Tigers3Cougars4LSommaire du Match
63 - 2020-12-23425Sound Tigers2Rocket4LSommaire du Match
65 - 2020-12-25441Las Vegas3Sound Tigers5WSommaire du Match
67 - 2020-12-27461Sound Tigers4Stars2WSommaire du Match
69 - 2020-12-29468Sound Tigers2Thunder1WSommaire du Match
72 - 2021-01-01489Sound Tigers5Cabaret Lady Mary Ann4WSommaire du Match
74 - 2021-01-03502Crunch3Sound Tigers1LSommaire du Match
77 - 2021-01-06527Chill6Sound Tigers3LSommaire du Match
79 - 2021-01-08538Sound Tigers2Bruins4LSommaire du Match
81 - 2021-01-10553Admirals2Sound Tigers3WSommaire du Match
83 - 2021-01-12573Monsters3Sound Tigers1LSommaire du Match
87 - 2021-01-16589Sound Tigers3Baby Hawks4LSommaire du Match
89 - 2021-01-18605Sound Tigers6Minnesota4WSommaire du Match
91 - 2021-01-20614Sound Tigers4Bears5LSommaire du Match
93 - 2021-01-22630Spiders3Sound Tigers1LSommaire du Match
95 - 2021-01-24646Sound Tigers0Marlies3LSommaire du Match
97 - 2021-01-26661Monsters5Sound Tigers2LSommaire du Match
98 - 2021-01-27665Sound Tigers3Spiders4LXXSommaire du Match
102 - 2021-01-31694Bruins5Sound Tigers4LXSommaire du Match
104 - 2021-02-02710Sound Tigers6Wolf Pack1WSommaire du Match
105 - 2021-02-03717Cougars3Sound Tigers2LXSommaire du Match
107 - 2021-02-05730Wolf Pack5Sound Tigers6WXXSommaire du Match
109 - 2021-02-07743Bears3Sound Tigers2LSommaire du Match
110 - 2021-02-08756Sound Tigers1Caroline7LSommaire du Match
112 - 2021-02-10762Sound Tigers6Wolf Pack1WSommaire du Match
123 - 2021-02-21793Comets2Sound Tigers3WSommaire du Match
126 - 2021-02-24816Stars6Sound Tigers3LSommaire du Match
128 - 2021-02-26831Monarchs4Sound Tigers2LSommaire du Match
130 - 2021-02-28847Sound Tigers7Thunder4WSommaire du Match
132 - 2021-03-02862Sound Tigers1Bears3LSommaire du Match
133 - 2021-03-03869Phantoms1Sound Tigers3WSommaire du Match
135 - 2021-03-05886Sound Tigers4Chill6LSommaire du Match
137 - 2021-03-07905Sound Tigers4Las Vegas3WXXSommaire du Match
139 - 2021-03-09917Sound Tigers4Jayhawks5LSommaire du Match
141 - 2021-03-11931Sound Tigers2Monsters3LXSommaire du Match
143 - 2021-03-13941Cougars3Sound Tigers4WXXSommaire du Match
145 - 2021-03-15962Sharks2Sound Tigers6WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17971Wolf Pack2Sound Tigers4WSommaire du Match
149 - 2021-03-19990Sound Tigers4Chiefs2WSommaire du Match
151 - 2021-03-21999Bruins5Sound Tigers6WXSommaire du Match
154 - 2021-03-241020Rocket4Sound Tigers3LSommaire du Match
156 - 2021-03-261038Sound Tigers3Senators5LSommaire du Match
158 - 2021-03-281049Caroline4Sound Tigers7WSommaire du Match
161 - 2021-03-311077Sound Tigers2Comets1WSommaire du Match
163 - 2021-04-021091Sound Tigers4Heat5LSommaire du Match
164 - 2021-04-031097Sound Tigers4Oil Kings5LSommaire du Match
166 - 2021-04-051115Sound Tigers3Manchots4LXXSommaire du Match
168 - 2021-04-071124Heat3Sound Tigers4WSommaire du Match
170 - 2021-04-091137Sound Tigers2Marlies6LSommaire du Match
172 - 2021-04-111157Sound Tigers6Spiders3WSommaire du Match
173 - 2021-04-121166Caroline6Sound Tigers4LSommaire du Match
175 - 2021-04-141179Sound Tigers1Phantoms6LSommaire du Match
177 - 2021-04-161193Crunch4Sound Tigers3LXSommaire du Match
179 - 2021-04-181208Sound Tigers4Rocket3WSommaire du Match
181 - 2021-04-201226Sound Tigers6Monsters3WSommaire du Match
182 - 2021-04-211229Minnesota1Sound Tigers4WSommaire du Match
184 - 2021-04-231245Baby Hawks2Sound Tigers4WSommaire du Match
186 - 2021-04-251266Spiders5Sound Tigers2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3012
Assistance79,77240,165
Assistance PCT97.28%97.96%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2925 - 97.51% 70,125$2,875,140$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,103,764$ 2,108,916$ 2,110,702$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
11,348$ 2,105,609$ 27 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 11,338$ 0$




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