Sound Tigers

DG: Claude Desmarais Morale : 97 Moyenne d'Équipe : 50
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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 SP
1Alex ChiassonX100.00625080677362695135455670454339081580
2Marko DanoXX100.00613586755662456135556660483532081580
3Mattias JanmarkXX100.00493589786756525851526366483532066580
4Richard PanikXX100.00664385707256465335436265484439081570
5Markus GranlundX100.00553587715462485272465871454237082570
6Micheal FerlandXX100.00805080707558555057524860483633071560
7Seth GriffithX100.00513584776156365550515853453532081550
8Jordan SchroederXXX100.00533593745655404950455265484439081540
9Tomas VincourXX100.00464386667148344635484258474338081510
10Martin Frk (R)X100.00454545456545454545454545453230081460
11Peter Cehlarik (R)X100.00434343436643434343434343433230057440
12Brayden Point (R)X100.00434343434443434343434343433230061430
13Ladislav SmidX100.00704386607056423835373963486050083560
14Aaron NessX100.00563588685849354235513268483734081540
15Petter Granberg (R)X100.00704383606655383535383269484036079540
16Duncan SiemensX100.00543594596847333335333365473532081510
17Samuel Morin (R)X100.00505050506850505050505050503230080500
18Jordan Schmaltz (R)X100.00505050505650505050505050503230080490
Rayé
1Zac DalpeXX100.00583590666955355263446057484642068540
2Eric SelleckX100.00564325677251353545353558483532048470
3Dominik UherXX100.00483594686944333335333361473532051460
4Blake Coleman (R)X100.00434343436743434343434343433230030440
5Mattias TedenbyX100.00328139475133523335333352474438020410
6Tony Cameranesi (R)X100.00373737374537373737373737373230020380
7Julius Bergman (R)X100.00454545456045454545454545453230057450
8Brenden Kichton (R)X100.00373737375237373737373737373230019390
9Ryan SproulX100.00328535356033543335333335473532019390
MOYENNE D'ÉQUIPE100.0052446758634944454343455546373406450
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
1Kristers Gudlevskis100.0051455783525054534565703533077530
Rayé
MOYENNE D'ÉQUIPE100.005145578352505453456570353307753
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Gernander47807746777066USA472500,000$


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'ÉquipePOS GP 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
1Markus GranlundSound Tigers (Isl)C79457912455220532143420013.16%29156619.8311324387311314152427162.93%173200041.5847000958
2Richard PanikSound Tigers (Isl)LW/RW825160111576801141283320015.36%14154218.811724419533711241618143.75%19200011.4424000798
3Alex ChiassonSound Tigers (Isl)RW7243611044481251241132800015.36%13149020.7118183683307235162477339.50%48100011.4037113876
4Seth GriffithSound Tigers (Isl)RW8247459267200551212820016.67%6120314.687714552081012435260.48%12400011.5300000876
5Jordan SchroederSound Tigers (Isl)C/LW/RW8229457458320501622310012.55%16113513.85235271470000548356.13%92100021.3000000425
6Aaron NessSound Tigers (Isl)D76105767533406882930010.75%88161021.1981321612980111250210.00%000000.8300000214
7Micheal FerlandSound Tigers (Isl)LW/RW6920426242184501851041800011.11%9118117.1341014402790117873165.63%9600001.0512244224
8Marko DanoSound Tigers (Isl)LW/RW342139602624058861530013.73%669920.58416203515422412995150.57%17600101.7202000552
9Zac DalpeSound Tigers (Isl)C/RW6918375536220561071690010.65%795713.873710291390000243063.21%85900001.1500000521
10Mattias JanmarkSound Tigers (Isl)C/LW34163147162015921220013.11%569820.55711182315201161083053.87%91700011.3502000233
11Tomas VincourSound Tigers (Isl)LW/RW821726432716048981370012.41%794711.550113360001363155.00%6000000.9100000242
12Ladislav SmidSound Tigers (Isl)D8215264158761015045680022.06%86183222.3591019313380110269130.00%000100.4500101142
13Petter GranbergSound Tigers (Isl)D79831394085512175790010.13%77163320.6731114413230111256000.00%000000.4800010110
14Duncan SiemensSound Tigers (Isl)D82102636442005039690014.49%90168220.514812363080001265200.00%000000.4300000022
15Jordan SchmaltzSound Tigers (Isl)D82822303285159328510015.69%56127915.6011210640002102110.00%000000.4700012002
16Samuel MorinSound Tigers (Isl)D54414182357157621300013.33%2685615.85011757000042100.00%000000.4200012001
17Eric SelleckSound Tigers (Isl)LW486511-114008449480012.50%74188.7300004000030058.06%3100000.5300000112
18Dominik UherSound Tigers (Isl)C/LW51189-144044042002.38%74148.1301101000030047.09%36100000.4300000000
19Julius BergmanSound Tigers (Isl)D4936916180499110027.27%2057811.81022227000066000.00%000000.3100000010
20Martin FrkSound Tigers (Isl)RW67369-23610473146006.52%55047.5300000000000060.61%3300000.3600110010
21Brayden PointSound Tigers (Isl)C3123522001723150013.33%12187.0500000000090046.75%23100000.4600000000
22Peter CehlarikSound Tigers (Isl)LW5011204013216006.25%11563.120000100000160066.67%1500000.2600000000
23Ryan SproulSound Tigers (Isl)D19101629519120050.00%61809.470000500007000.00%000000.1100100001
24Blake ColemanSound Tigers (Isl)C340000004128000.00%01043.09000120001550062.16%7400000.0000000000
25Brenden KichtonSound Tigers (Isl)D170004120811000.00%41629.5500009000015000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne150637967010496799911351561168328070013.50%5862305615.3198176274666352891221692470591856.32%6303002100.9110246912575759
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
1Kristers GudlevskisSound Tigers (Isl)2721310.9022.36147220585940000.818112357110
Stats d'équipe Total ou en Moyenne2721310.9022.36147220585940000.818112357110


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 Ballotage Forcé Contrat StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Aaron NessSound Tigers (Isl)D251990-05-18No187 Lbs5 ft10NoNo1Avec RestrictionPro & Farm1,000,000$Lien
Alex ChiassonSound Tigers (Isl)RW251990-10-01No208 Lbs6 ft3NoNo1Avec RestrictionPro & Farm800,000$Lien
Blake ColemanSound Tigers (Isl)C231991-11-28Yes198 Lbs5 ft10NoNo4Avec RestrictionPro & Farm667,000$667,000$667,000$667,000$Lien
Brayden PointSound Tigers (Isl)C191996-05-13Yes160 Lbs5 ft9NoNo4Contrat d'EntréePro & Farm667,000$667,000$667,000$667,000$Lien
Brenden KichtonSound Tigers (Isl)D231992-06-18Yes175 Lbs5 ft10NoNo4Avec RestrictionPro & Farm650,000$650,000$650,000$650,000$Lien
Dominik UherSound Tigers (Isl)C/LW221992-12-31No202 Lbs6 ft0NoNo3Avec RestrictionPro & Farm610,000$610,000$610,000$Lien
Duncan SiemensSound Tigers (Isl)D221993-09-07No205 Lbs6 ft3NoNo3Avec RestrictionPro & Farm833,000$833,000$833,000$Lien
Eric SelleckSound Tigers (Isl)LW271987-10-20No208 Lbs6 ft2NoNo1Avec RestrictionPro & Farm750,000$Lien
Jordan SchmaltzSound Tigers (Isl)D211993-11-08Yes180 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Jordan SchroederSound Tigers (Isl)C/LW/RW251990-09-29No184 Lbs5 ft9NoNo1Avec RestrictionPro & Farm900,000$Lien
Julius BergmanSound Tigers (Isl)D191995-11-02Yes187 Lbs6 ft1NoNo4Contrat d'EntréePro & Farm743,000$743,000$743,000$743,000$Lien
Kristers GudlevskisSound Tigers (Isl)G231992-07-31No218 Lbs6 ft3NoNo2Avec RestrictionPro & Farm610,000$610,000$Lien
Ladislav SmidSound Tigers (Isl)D291986-02-01No210 Lbs6 ft4NoNo1Avec RestrictionPro & Farm2,950,000$Lien
Marko DanoSound Tigers (Isl)LW/RW201994-11-30No183 Lbs5 ft11NoNo3Contrat d'EntréePro & Farm925,000$925,000$925,000$Lien
Markus GranlundSound Tigers (Isl)C221993-04-16No178 Lbs6 ft0NoNo2Avec RestrictionPro & Farm743,000$743,000$Lien
Martin FrkSound Tigers (Isl)RW211993-10-05Yes193 Lbs6 ft0NoNo4Contrat d'EntréePro & Farm625,000$625,000$625,000$625,000$Lien
Mattias JanmarkSound Tigers (Isl)C/LW221992-12-08No195 Lbs6 ft1NoNo4Avec RestrictionPro & Farm675,000$675,000$675,000$675,000$Lien
Mattias TedenbySound Tigers (Isl)LW251990-02-21No175 Lbs5 ft9NoNo4Avec RestrictionPro & Farm500,000$500,000$500,000$500,000$Lien
Micheal FerlandSound Tigers (Isl)LW/RW231992-04-20No215 Lbs6 ft2NoNo3Avec RestrictionPro & Farm600,000$600,000$600,000$Lien
Peter CehlarikSound Tigers (Isl)LW201995-08-02Yes192 Lbs6 ft2NoNo4Contrat d'EntréePro & Farm700,000$700,000$700,000$700,000$Lien
Petter GranbergSound Tigers (Isl)D231992-08-27Yes200 Lbs6 ft3NoNo2Avec RestrictionPro & Farm800,000$800,000$Lien
Richard PanikSound Tigers (Isl)LW/RW241991-02-07No208 Lbs6 ft1NoNo1Avec RestrictionPro & Farm740,000$Lien
Ryan SproulSound Tigers (Isl)D221993-01-13No185 Lbs6 ft3NoNo2Avec RestrictionPro & Farm642,000$642,000$Lien
Samuel MorinSound Tigers (Isl)D201995-07-12Yes202 Lbs6 ft6NoNo4Contrat d'EntréePro & Farm925,000$925,000$925,000$925,000$Lien
Seth GriffithSound Tigers (Isl)RW221993-01-04No192 Lbs5 ft9NoNo3Avec RestrictionPro & Farm743,000$743,000$743,000$Lien
Tomas VincourSound Tigers (Isl)LW/RW241990-11-19No204 Lbs6 ft2NoNo4Avec RestrictionPro & Farm600,000$600,000$600,000$600,000$Lien
Tony CameranesiSound Tigers (Isl)C221993-08-12Yes162 Lbs5 ft9NoNo4Avec RestrictionPro & Farm525,000$525,000$525,000$525,000$Lien
Zac DalpeSound Tigers (Isl)C/RW251989-11-01No200 Lbs6 ft2NoNo3Avec RestrictionPro & Farm600,000$600,000$600,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2822.79193 Lbs6 ft12.86801,714$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Marko DanoMattias JanmarkAlex Chiasson40122
2Richard PanikMarkus GranlundMicheal Ferland30122
3Tomas VincourJordan SchroederSeth Griffith20122
4Peter CehlarikBrayden PointMartin Frk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ladislav SmidAaron Ness40122
2Petter GranbergDuncan Siemens30122
3Samuel MorinJordan Schmaltz20122
4Ladislav SmidAaron Ness10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Marko DanoMattias JanmarkAlex Chiasson60122
2Richard PanikMarkus GranlundMicheal Ferland40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ladislav SmidAaron Ness60122
2Petter GranbergDuncan Siemens40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mattias JanmarkAlex Chiasson60122
2Marko DanoMarkus Granlund40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ladislav SmidAaron Ness60122
2Petter GranbergDuncan Siemens40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mattias Janmark60122Ladislav SmidAaron Ness60122
2Alex Chiasson40122Petter GranbergDuncan Siemens40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mattias JanmarkAlex Chiasson60122
2Marko DanoMarkus Granlund40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ladislav SmidAaron Ness60122
2Petter GranbergDuncan Siemens40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Marko DanoMattias JanmarkAlex ChiassonLadislav SmidAaron Ness
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Marko DanoMattias JanmarkAlex ChiassonLadislav SmidAaron Ness
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Seth Griffith, Jordan Schroeder, Tomas VincourSeth Griffith, Jordan SchroederTomas Vincour
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Samuel Morin, Jordan Schmaltz, Petter GranbergSamuel MorinJordan Schmaltz, Petter Granberg
Tirs de Pénalité
Mattias Janmark, Alex Chiasson, Marko Dano, Markus Granlund, Richard Panik
Gardien
#1 : Kristers Gudlevskis, #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
Admirals211000009811010000035-21100000063320.50091625001761259111629701004930506614355111218.18%15380.00%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Falcons4310000017982110000065122000000114760.75017314800176125911115697010049305010938577621733.33%18288.89%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Bruins32100000911-2110000003212110000069-340.66791625001761259111919701004930507620366514321.43%15286.67%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Crunch3210000013671010000023-122000000113840.667132336001761259111101970100493050651538442229.09%18288.89%11672287158.24%1321243254.32%778138856.05%2164150417216071070559
Heat220000001064110000005411100000052341.000101727001761259111819701004930505417183015426.67%8275.00%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Phantoms4210100015114220000009452010100067-160.7501527420017612591111599701004930509122257134411.76%100100.00%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Baby Hawks220000001046110000005141100000053241.000101626001761259111609701004930504614684515426.67%130100.00%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Monsters211000007611010000034-11100000042220.50071219001761259111409701004930505926224312216.67%11281.82%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Jayhawks220000001055110000004311100000062441.0001017270017612591115497010049305040132029100.00%10280.00%11672287158.24%1321243254.32%778138856.05%2164150417216071070559
Cougars3300000016610110000007162200000095461.0001627430017612591111089701004930506821204525312.00%10280.00%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Oil Kings220000001037110000004221100000061541.00010152500176125911163970100493050461542379333.33%15193.33%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Monarchs220000001174110000006421100000053241.000111930001761259111719701004930504620273810330.00%8187.50%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Minnesota220000001239110000009181100000032141.00012213300176125911199970100493050672219395360.00%60100.00%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Spiders41200010141402010001067-12110000087140.5001422361017612591111179701004930501184148842229.09%16381.25%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Senators330000001971222000000144101100000053261.0001934530017612591111079701004930507125344311218.18%17288.24%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Manchots4210001018108210000109542110000095460.7501832500017612591111319701004930508919405523521.74%15566.67%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Wolf Pack4400000026620220000001531222000000113881.00026457100176125911120197010049305011433498615213.33%21195.24%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Sharks22000000734110000004131100000032141.0007121900176125911163970100493050481234341200.00%10190.00%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Chiefs22000000844110000004311100000041341.000812200017612591115297010049305055121648700.00%8187.50%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Thunder3120000079-22110000056-11010000023-120.33371320001761259111969701004930501002446701119.09%17570.59%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Marlies3300000013672200000010551100000031261.000132437001761259111919701004930506213327515320.00%10190.00%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Comets21000001131121000000167-11100000074330.75013213400176125911164970100493050592343528225.00%15753.33%31672287158.24%1321243254.32%778138856.05%2164150417216071070559
Cabaret Lady Mary Ann330000002091111000000104622000000105561.0002035550017612591111319701004930509731456212325.00%14285.71%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
IceCaps22000000844110000003121100000053241.0008142200176125911151970100493050601139376116.67%12283.33%11672287158.24%1321243254.32%778138856.05%2164150417216071070559
Chill210000101082100000104311100000065141.000101323001761259111689701004930506814324013430.77%15380.00%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Rocket32000010191272100001014861100000054161.0001933520017612591111269701004930508718236021523.81%8275.00%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Bears531000102371633000000182162010001055080.800234063011761259111161970100493050973540104331339.39%20290.00%11672287158.24%1321243254.32%778138856.05%2164150417216071070559
Caroline53100010271512220000001349311000101411380.800274875001761259111202970100493050145349395291137.93%29679.31%21672287158.24%1321243254.32%778138856.05%2164150417216071070559
Las Vegas22000000185131100000082611000000103741.000183452001761259111124970100493050355104022627.27%40100.00%01672287158.24%1321243254.32%778138856.05%2164150417216071070559
Vs Division30104010101407268155200010763046155201000644222240.40014024538511176125911111279701004930507632223525711774424.86%1291985.27%31672287158.24%1321243254.32%778138856.05%2164150417216071070559
Vs Conference4429100104019311479231640003010552532113601010886226680.773193334527111761259111153497010049305011533285428542364920.76%2093284.69%21672287158.24%1321243254.32%778138856.05%2164150417216071070559
Since Last GM Reset8261130106139921518441306000412091041054131701020190111791370.8353996891088111761259111293097010049305021386071051159845410022.03%3886284.02%91672287158.24%1321243254.32%778138856.05%2164150417216071070559
Total8261130106139921518441306000412091041054131701020190111791370.8353996891088111761259111293097010049305021386071051159845410022.03%3886284.02%91672287158.24%1321243254.32%778138856.05%2164150417216071070559

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82137W13996891088293021386071051159811
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8261131061399215
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
413060041209104
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
413171020190111
Derniers 10 Matchs
WLOTWOTL SOWSOL
620020
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
45410022.03%3886284.02%9
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
9701004930501761259111
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
1672287158.24%1321243254.32%778138856.05%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2164150417216071070559


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
2 - 2016-10-1311Sound Tigers6Wolf Pack1WSommaire du Match
4 - 2016-10-1523Sound Tigers3Bears2WXXSommaire du Match
5 - 2016-10-1630Admirals5Sound Tigers3LSommaire du Match
7 - 2016-10-1839Sharks1Sound Tigers4WSommaire du Match
10 - 2016-10-2162Chill3Sound Tigers4WXXSommaire du Match
12 - 2016-10-2380Minnesota1Sound Tigers9WSommaire du Match
15 - 2016-10-2697Rocket3Sound Tigers8WSommaire du Match
16 - 2016-10-27100Sound Tigers3Manchots4LSommaire du Match
19 - 2016-10-30126Marlies1Sound Tigers3WSommaire du Match
21 - 2016-11-01139Thunder2Sound Tigers3WSommaire du Match
23 - 2016-11-03150Phantoms2Sound Tigers3WSommaire du Match
25 - 2016-11-05167Oil Kings2Sound Tigers4WSommaire du Match
27 - 2016-11-07181Comets7Sound Tigers6LXXSommaire du Match
30 - 2016-11-10198Sound Tigers2Thunder3LSommaire du Match
32 - 2016-11-12218Sound Tigers3Cabaret Lady Mary Ann1WSommaire du Match
34 - 2016-11-14229Thunder4Sound Tigers2LSommaire du Match
38 - 2016-11-18255Manchots1Sound Tigers4WSommaire du Match
42 - 2016-11-22284Sound Tigers6Admirals3WSommaire du Match
43 - 2016-11-23298Sound Tigers5Monarchs3WSommaire du Match
45 - 2016-11-25312Sound Tigers3Sharks2WSommaire du Match
48 - 2016-11-28328Heat4Sound Tigers5WSommaire du Match
50 - 2016-11-30343Manchots4Sound Tigers5WXXSommaire du Match
51 - 2016-12-01348Sound Tigers2Bears3LSommaire du Match
54 - 2016-12-04372Cougars1Sound Tigers7WSommaire du Match
56 - 2016-12-06382Wolf Pack2Sound Tigers6WSommaire du Match
58 - 2016-12-08396Chiefs3Sound Tigers4WSommaire du Match
60 - 2016-12-10413Sound Tigers4Falcons2WSommaire du Match
63 - 2016-12-13438Bears1Sound Tigers5WSommaire du Match
65 - 2016-12-15446Baby Hawks1Sound Tigers5WSommaire du Match
66 - 2016-12-16459Sound Tigers7Crunch1WSommaire du Match
68 - 2016-12-18470Senators3Sound Tigers4WSommaire du Match
70 - 2016-12-20481Sound Tigers6Bruins5WSommaire du Match
73 - 2016-12-23509Crunch3Sound Tigers2LSommaire du Match
77 - 2016-12-27518Bears1Sound Tigers6WSommaire du Match
79 - 2016-12-29538Sound Tigers3Minnesota2WSommaire du Match
81 - 2016-12-31557Sound Tigers5IceCaps3WSommaire du Match
87 - 2017-01-06588Sound Tigers4Monsters2WSommaire du Match
88 - 2017-01-07597Sound Tigers6Chill5WSommaire du Match
92 - 2017-01-11620Cabaret Lady Mary Ann4Sound Tigers10WSommaire du Match
94 - 2017-01-13636Sound Tigers7Cabaret Lady Mary Ann4WSommaire du Match
95 - 2017-01-14646Sound Tigers2Caroline5LSommaire du Match
97 - 2017-01-16656Sound Tigers0Bruins4LSommaire du Match
100 - 2017-01-19677Jayhawks3Sound Tigers4WSommaire du Match
102 - 2017-01-21694Monarchs4Sound Tigers6WSommaire du Match
103 - 2017-01-22705Phantoms2Sound Tigers6WSommaire du Match
105 - 2017-01-24716Falcons2Sound Tigers5WSommaire du Match
107 - 2017-01-26740Rocket5Sound Tigers6WXXSommaire du Match
112 - 2017-01-31746Bears0Sound Tigers7WSommaire du Match
115 - 2017-02-03768Sound Tigers5Cougars4WSommaire du Match
116 - 2017-02-04777Caroline1Sound Tigers4WSommaire du Match
118 - 2017-02-06789Marlies4Sound Tigers7WSommaire du Match
121 - 2017-02-09809Sound Tigers4Phantoms3WXSommaire du Match
123 - 2017-02-11816Sound Tigers5Senators3WSommaire du Match
124 - 2017-02-12830Monsters4Sound Tigers3LSommaire du Match
126 - 2017-02-14838Sound Tigers3Marlies1WSommaire du Match
128 - 2017-02-16848Wolf Pack1Sound Tigers9WSommaire du Match
130 - 2017-02-18861Sound Tigers5Spiders3WSommaire du Match
131 - 2017-02-19870Spiders4Sound Tigers2LSommaire du Match
133 - 2017-02-21886Sound Tigers4Cougars1WSommaire du Match
135 - 2017-02-23895Sound Tigers5Rocket4WSommaire du Match
137 - 2017-02-25910Sound Tigers7Falcons2WSommaire du Match
142 - 2017-03-02943Sound Tigers6Jayhawks2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2017-03-03951Sound Tigers5Baby Hawks3WSommaire du Match
145 - 2017-03-05962Sound Tigers5Heat2WSommaire du Match
147 - 2017-03-07979Sound Tigers6Oil Kings1WSommaire du Match
149 - 2017-03-09988Sound Tigers7Comets4WSommaire du Match
151 - 2017-03-111009Sound Tigers4Chiefs1WSommaire du Match
153 - 2017-03-131016Caroline3Sound Tigers9WSommaire du Match
154 - 2017-03-141031Sound Tigers7Caroline2WSommaire du Match
156 - 2017-03-161040IceCaps1Sound Tigers3WSommaire du Match
158 - 2017-03-181054Falcons3Sound Tigers1LSommaire du Match
162 - 2017-03-221086Sound Tigers5Wolf Pack2WSommaire du Match
164 - 2017-03-241101Sound Tigers6Manchots1WSommaire du Match
165 - 2017-03-251110Bruins2Sound Tigers3WSommaire du Match
167 - 2017-03-271125Las Vegas2Sound Tigers8WSommaire du Match
170 - 2017-03-301147Sound Tigers2Phantoms4LSommaire du Match
171 - 2017-03-311151Spiders3Sound Tigers4WXXSommaire du Match
173 - 2017-04-021166Sound Tigers4Crunch2WSommaire du Match
175 - 2017-04-041180Sound Tigers10Las Vegas3WSommaire du Match
177 - 2017-04-061199Sound Tigers5Caroline4WXXSommaire du Match
179 - 2017-04-081210Sound Tigers3Spiders4LSommaire du Match
180 - 2017-04-091221Senators1Sound Tigers10WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3012
Assistance6280531506
Assistance PCT76.59%76.84%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2300 - 76.68% 55,176$2,262,222$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,077,300$ 3,077,300$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
3,111,871$ 17,002$ 2,609,158$

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 19,764$ 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
Saison Régulière
20168261130106139921518441306000412091041054131701020190111791223996891088111761259111293097010049305021386071051159845410022.03%3886284.02%91672287158.24%1321243254.32%778138856.05%2164150417216071070559
Total Saison Régulière8261130106139921518441306000412091041054131701020190111791223996891088111761259111293097010049305021386071051159845410022.03%3886284.02%91672287158.24%1321243254.32%778138856.05%2164150417216071070559