fixed predict betting fixed matches

          

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NEW OFFER
Denmark-1×2.eu Team intrudouce a new offer for all visitors

For Thuesday ( 29.06.2017 ) we have a safe information ( correct / exact score )

odd will be over 130.00

for price contact on mail

Let try with us , and get a big profit !


contact e-mail

 hisfeld_denmark@yahoo.com 


Date League Match Tip Odd Score
25.06.2017
25.06.2017
NORWAY: Eliteserien
SWEDEN: Superettan
Bodo/Glimt – Strommen
Osters – Varbergs
4:3
1
67.00
2.15
4:3 win
5:2 win
10.06.2017
10.06.2017
BRAZIL: Série B
FINLAND: Ykkonen
Brasil de Pelotas – Ceara
Ekenas – GrIFK
2
4:1
3.60
34.00
2:3 win
4:1 win
27.05.2017
27.05.2017
DENMARK: 1st Division
ICELAND: Pepsideild
Koge – Roskilde
Vestmannaeyjar – Akranes
1
1:4
3.40
67.00
1:0 win
1:4 win
20.05.2017
20.05.2017
HUNGARY: OTP Bank Liga
POLAND: Ekstraklasa – Relegation Group
Videoton – Ferencvaros
Plock – Zaglebie
4:1
2
41.00
3.25
4:1 win
1:2 win
13.05.2017
13.05.2017
BELGIUM: Jupiler League – Europa League
FINLAND: Ykkonen
St. Gilloise – St. Truiden
OPS – Gnistan
1:4
X
41.00
3.40
1:0 win
1:1 win
06.05.2017
06.05.2017
ENGLAND: League Two
FINLAND: Veikkausliiga
Crewe – Barnet
Lahti – SJK
4:1
1
41.00
3.10
4:1 win
1:0 win
29.04.2017
29.04.2017
BELGIUM: Jupiler League – Europa League Group
ENGLAND: Championship
Lokeren – Eupen
Leeds – Norwich
4:1
X
41.00
3.90
4:1 win
3:3 win
21.04.2017
21.04.2017
AUSTRIA: Erste Liga
FRANCE: Ligue 2
Wattens – Wacker Innsbruck
Valenciennes – Orleans
3:4
1
81.00
2.30
3:4 win
4:0 win
17.04.2017
17.04.2017
ENGLAND: Vanarama National League
ENGLAND: League Two
York – Wrexham
Morecambe – Colchester
1:3
X
41.00
3.40
1:3 win
1:1 win
15.04.2017
15.04.2017
POLAND: Ekstraklasa
SWITZERLAND: Challenge League
Jagiellonia – Cracovia
Winterthur – Le Mont
X
4:1
3.75
41.00
0:0 win
4:1 win
08.04.2017
08.04.2017
ENGLAND: League Two
ROMANIA: Liga 1 – Relegation Group
Colchester – Stevenage
CSM Iasi – FC Botosani
4:0
1
51.00
2.60
4:0 win
2:1 win
04.04.2017
04.04.2017
ENGLAND: Championship
ENGLAND: League One
Preston – Bristol City
Southend – Bolton
5:0
2
81.00
2.80
5:0 win
0:1 win
01.04.2017
01.04.2017
POLAND: Ekstraklasa
SCOTLAND: League One
Plock – Cracovia
East Fife – Queen's Park
4:1
X
41.00
3.40
4:1 win
0:0 win
25.03.2017
25.03.2017
ENGLAND: Vanarama National League
ENGLAND: League One
Solihull – Barrow
Coventry – Bristol Rovers
2:4
1
51.00
3.70
2:4 win
1:0 win
18.03.2017
18.03.2017
ITALY: Serie B
PORTUGAL: Primeira Liga
Trapani – Bari
Moreirense – Tondela
4:0
X
51.00
3.10
4:0 win
1:1 win
11.03.2017
11.03.2017
SCOTLAND: League Two
ENGLAND: Vanarama National League
Annan – Elgin City
Solihull – Braintree
1
3:3
2.70
51.00
1:0 win
3:3 win
04.03.2017 ENGLAND: League Two Newport – Leyton Orient 0:4 101.00 0:4 win
25.02.2017 HUNGARY: OTP Bank Liga Paks- Mezokovesd-Zsory 5:0 126.00 5:0 win
18.02.2017
18.02.2017
SWITZERLAND: Challenge League
TURKEY: Super Lig
Aarau – Le Mont
Rizespor – Galatasaray
4:2
X
51.00
3.40
4:2 win
1-1 win
11.02.2017
11.02.2017
PORTUGAL: Segunda Liga
SCOTLAND: League Two
Benfica B – Aves
Montrose – Arbroath
4:2
2
67.00
2.25
4:2 win
1:3 win
04.02.2017 ENGLAND: Vanarama National League North Salford – Fylde 5:0 101.00 5:0 win
28.01.2017 ENGLAND: FA Cup Tottenham – Wycombe 4:3 151.00 4:3 win
21.01.2017 ENGLAND: Vanarama National League Southport – North Ferriby 2:4 126.00 2:4 win
14.01.2017
14.01.2017
NORTHERN IRELAND: NIFL Premiership
FRANCE: Ligue 1
Coleraine – Portadown
Lorient – Guingamp
4:2
1
41.00
2.30
4:2 win
3:1 win
07.01.2017 ENGLAND: Vanarama National League South Dartford – East Thurrock 6:1 151.00 6:1 win
31.12.2016
31.12.2016
ENGLAND: League Two
ENGLAND: League Two
Stevenage – Colchester
Crewe – Accrington
2:4
2
51.00
2.30
2:4 win
0:1 win
24.12.2016
24.12.2016
ITALY: Serie B
ITALY: Serie B
Avellino – Salernitana
Perugia – Latina
3:2
X
34.00
3.20
3:2 win
1:1 win
17.12.2016 ENGLAND: Vanarama National League Southport – Eastleigh 4:3 126.00 4:3 win
11.12.2016 ENGLAND: League Two Hartlepool – Cambridge Utd 0:5 101.00 0:5 win
03.12.2016 ENGLAND: Vanarama National League South Weston – Hemel 3:5 126.00 3:5 win
27.11.2016 SWITZERLAND: Super League Vaduz – Lugano 5:1 101.00 5:1 win
19.11.2016 ENGLAND: Vanarama National League South Gosport – Concord 2:5 151.00 2:5 win
12.11.2016
12.11.2016
ENGLAND: League One
SCOTLAND: League Two
Bury – Southend
Forfar Athletic – Berwick
1:4
1
67.00
1.60
1:4 win
2:0 win
06.11.2016 ENGLAND: FA Cup St. Albans – Carlisle 3:5 126.00 3:5 win
30.10.2016
30.10.2016
ITALY: Serie B
NORWAY: OBOS-ligaen
Vicenza – Perugia
Strommen – Jerv
1:4
1
51.00
2.50
1:4 win
2:1 win
23.10.2016 SWEDEN: Superettan Ljungskile – Degerfors 2:4 101.00 2:4 win
15.10.2016
15.10.2016
BELGIUM: Jupiler League
BRAZIL: Série B
Waasland-Beveren  – Eupen
Nautico – Ceara
4:2
1
51.00
1.95
4:2 win
1:0 win
08.10.2016
08.10.2016
ENGLAND: League Two
ENGLAND: Vanarama National League
Doncaster – Barnet
Barrow – Maidstone
4:2
1
41.00
1.80
3:2 lost
3:0 win
25.09.2016 GERMANY: 3. Liga Hansa Rostock Zwickau 5:0 101.00 5:0 win
01.10.2016 ENGLAND: Vanarama National League Maidstone – Solihull 2:4 81.00 2:4 win

correct free predictions     

1 Week

(40 €)

5-7 matches

1 , X , 2

24/7 support

5-6 hours before start match

/

2 Weeks

(65 €)

12-14 matches

1 , X , 2

24/7 support

5-6 hours before start match

1 single match ( odd 7.00 )

1 Month

(95 €)

25-29 matches

1 , X , 2

24/7 support

5-6 hours before start match

1 ht ft match

Reccomended

1 Ticket

(50 €)

4 matches

1 , X , 2

24/7 support

5-6 hours before start match

total odd over 40.00

Guaranteed Profit ! 

each match has odd over 2.20

safe information directly from source

Money transfer via :

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:image/png;base64,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:image/png;base64,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data:image/png;base64,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

contact e-mail

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Record for month JULY 2017

Date Match Tip Odd Score
01.07.2017        

All subscribes who pay for month ( June ) will start with subscription from July


Record for month May 2017

Date Match Tip Odd Score
01.05.2017
01.05.2017
Lens – Laval
Dundalk – Waterford
1
1
1.60
1.30
2:0
3:0
03.05.2017
03.05.2017
El Masry – Arab Contractors
Utenis – Trakai
over 1.5
2
1.40
1.50
1:1
1:0
04.05.2017 Atlantas – Suduva X 3.30 1:1
05.05.2017 Sochaux – Amiens 2 2.20 1:2
06.05.2017
06.05.2017
06.05.2017
Nancy – Monaco
Manchester City – Crystal Palace
Blackpool – Leyton Orient
2
1
1
1.45
1.30
1.30
0:3
5:0
3:1
07.05.2017
07.05.2017
Excelsior – Feyenoord
Valencia – Osasuna
over 2.5
over 2.5
1.45
1.40
3:0
4:1
08.05.2017
08.05.2017
Chelsea – Middlesbrough
Vikingur Reykjavik -Grindavik
over 2.5
over 2.5
1.50
1.75
3:0
1:2
09.05.2017
09.05.2017
FK Crvena zvezda – Cukaricki
Juventus – Monaco
1
1
1.40
1.70
1:2
2:1
10.05.2017
10.05.2017
BATE – Isloch Minsk
Partizan – Vojvodina
over 2.5
1
1.50
1.50
2:0
1:0
12.05.2017
12.05.2017
Nimes – AC Ajaccio
Dundalk – Sligo Rovers
1
1
1.50
1.40
3:1
3:0
13.05.2017
13.05.2017
FC Augsburg – Dortmund
AIK – Orebro
over 2.5
1
1.50
1.45
1:1
1:0
14.05.2017
14.05.2017
Bologna – Pescara
Monaco – Lille
1
over 2.5
1.70
1.35
3:1
4:0
15.05.2017
15.05.2017
Isloch Minsk – Shakhtyor Soligorsk
Pandurii – Concordia
2
over 2.5
1.50
1.65
1:2
2:1
16.05.2017 Lierse – St. Truiden 2 2.20 1:3
17.05.2017
17.05.2017
17.05.2017
Celta Vigo – Real Madrid
Radnicki Nis – Partizan
Monaco – St Etienne
2
2
1
1.30
1.50
1.20
1:4
1:3
2:0
18.05.2017
18.05.2017
18.05.2017
Gent – Waregem
Avellino – Latina
Helsingborg – Norrby
over 2.5
1
1
1.65
1.30
1.40
5:2
2:0
3:2
19.05.2017
19.05.2017
Brest – GFC Ajaccio
ork City – Drogheda
1
over 2.5
1.50
1.45
6:2
5:0
20.05.2017
20.05.2017

20.05.2017
Dortmund – SV Werder Bremen
Rio Ave – Belenenses

 Rosenborg – Lillestrom
1
1

1
1.30
1.55

1.30
4:3
2:0

1:1

Record for month April 2017

Date Match Tip Odd Score
01.04.2017 Novara – Ternana over 2.5 2.20 1:2
02.04.2017 Valencia – Dep. La Coruna over 2.5 2.10 3:0
03.04.2017 Djurgarden – Sirius over 2.5 2.10 0:2
04.04.2017
04.04.2017
Monaco – Lille
Rotherham – Sheffield Wed
1
2
1.40
1.65
2:1
0:2
05.04.2017
05.04.2017
Darmstadt – Bayer Leverkusen
Metz – Lyon
2
2
1.70
1.50
0:2
0:3
06.04.2017
06.04.2017
Twente – PSV
FC Copenhagen – Aarhus
over 2.5
over 2.5
1.55
1.65
2:2
2:1
07.04.2017
07.04.2017
Telstar – Jong Ajax
Finn Harps – Dundalk
over 2.5
2
1.50
1.40
1:3
0:2
08.04.2017
08.04.2017
08.04.2017
Sevilla – Dep. La Coruna
Juventus – Chievo
Manchester City – Hull City
1
1
1
1.50
1.20
1.20
4:2
2:0
3:1
09.04.2017
09.04.2017
VfB Stuttgart – Karlsruher
Moreirense – Benfica
1
2
1.50
1.35
2:0
0:1
10.04.2017
10.04.2017
Real Sociedad – Gijon
Akranes – Grindavik
1
over 2.5
1.45
1.60
3:1
1:4
11.04.2017
11.04.2017
Malmo FF – Sundsvall
Lincoln City – Chester
over 2.5
1
1.65
1.35
2:0
1:0
12.04.2017
12.04.2017
Gyirmot SE- Videoton
Atl. Madrid – Leicester
2
1
1.55
1.35
0:1
1:0
13.04.2017
13.04.2017
Hobro – AB Copenhagen
Celta Vigo – Genk
1
1
1.40
1.60
2:0
3:2
14.04.2017
14.04.2017
Stevenage – Morecambe
Angers – Paris SG
1
2
1.65
1.35
0:1
0:2
15.04.2017 Wolfsburg – Ingolstadt 1 2.10 3:0
16.04.2017
16.04.2017
Mattersburg – Austria Vienna
Gaz Metan Medias – Pandurii
X2
1
1.35
1.55
0:3
3:1
17.04.2017
17.04.2017
Reading – Rotherham
Guiseley – Tranmere
1
2
1.40
1.65
2:1
1:2
18.04.2017
18.04.2017
Bolton – Bury
Linfield – Glenavon
1
1
1.65
1.40
0:0
3:0
19.04.2017 Zamalek – El Gaish over 2.5 2.40 3:0
21.04.2017
21.04.2017
Almere City – Graafschap
Sevilla – Granada CF
over 2.5
over 2.5
1.45
1.40
1:2
2:0
22.04.2017
22.04.2017
Port Vale – Bolton
Tranmere – Southport
2
1
1.85
1.20
0:2
4:1
24.04.2017
24.04.2017
24.04.2017
Newcastle Utd – Preston
Besiktas – Adanaspor AS
Pescara – AS Roma
1
over 2.5
2
1.55
1.40
1.30
4:1
3:2
1:4
25.04.2017
25.04.2017
Entella – Latina
Chelsea – Southampton
1
1
1.65
1.50
1:1
4:2
26.04.2017
26.04.2017
26.04.2017
Ferencvaros – Budafoki
Podbrezova – Z. Moravce
Dep. La Coruna – Real Madrid
1
1
2
1.30
1.50
1.40
8:0
2:0
2:6
27.04.2017
27.04.2017
Anderlecht – Charleroi
Ath Bilbao – Betis
over 2.5
1
1.70
1.40
0:1
2:1
28.04.2017 Helmond – Almere City 2 2.40 1:1
29.04.2017
29.04.2017
29.04.2017
Torquay – North Ferriby
Monaco – Toulouse
Yeovil – Stevenage
1
1
X2
1.40
1.30
1.40
2:0
3:1
1:1
30.04.2017
30.04.2017
Bolton – Peterborough
Hoffenheim – Eintracht Frankfurt
1
1
1.50
1.50
3:0
1:0

Record for month March 2017

Date Match Tip Odd Score
01.03.2017 Dundee FC – Partick 2 2.70 0:1
03.03.2017 Drogheda – St. Patricks 1 3.50 2:0
04.03.2017 Piast Gliwice – Wisla 2 2.40 1:2
05.03.2017 Empoli – Genoa 2 2.70 0:2
06.03.2017 Odense – Aalborg 1 2.30 4:0
07.03.2017 Charlton – Scunthorpe 2 2.80 2:1
08.03.2017 Javor – Borac 1 2.10 2:0
09.03.2017 Celta Vigo – Krasnodar over 2.5 2.40 2:1
10.03.2017 Espanyol – Las Palmas 1 2.20 4:3
11.03.2017 Gillingham FC-  Scunthorpe 2 2.40 3:2
12.03.2017 Lokeren – Charleroi over 2.5 2.10 0:0
13.03.2017 Helmond – Graafschap 2 2.30 0:2
14.03.2017 Scunthorpe – Rochdale 1 2.20 2:1
16.03.2017 Barnet – Yeovil 1 2.20 2:2
16.03.2017 B. Monchengladbach – Schalke over 2.5 2.05 2:2
17.03.2017 Munich 1860 – Wurzburger Kickers 1 2.25 2:1
18.03.2017 Groningen – Willem II X 3.40 1:1
19.03.2017 Korona Kielce – Cracovia 1 3.10 3:0
20.03.2017 Ironi Nesher – Hap. Ramat Gan 2 2.05 0:1
21.03.2017 Tamworth – Kidderminster 2 2.10 3:4
22.03.2017 Whitehawk – Hampton 2 2.45 1:3
24.03.2017 Creteil – Les Herbiers 2 3.50 2:3
25.03.2017 AFC Wimbledon – Southend 2 2.60 0:2
26.03.2017 U. Madeira – Vizela X 3.80 1:1
28.03.2017 Albania – Bosnia & Herzegovina 2 2.40 1:2
29.03.2017 CS U. Craiova – Din. Bucuresti X 3.10 0:0
30.03.2017 Kopavogur – Olafsvik 2 2.10 2:1
31.03.2017 Alcorcon – Mallorca 1 2.30 1:0

Record for month February 2017

Date Match Tip Odd Score
01.02.2017 Blackburn – Leeds 2 2.30 1:2
03.02.2017 Lommel Utd – Cercle Brugge KSV 2 2.30 0:1
04.02.2017 Shrewsbury – Bury 1 2.30 2:1
05.02.2017 Waregem – Gent X 3.10 1:1
06.02.2017 Red Star – AC Ajaccio 1 2.40 2:0
07.02.2017 Poole Town – St. Albans 1 2.10 2:1
08.02.2017 Maccabi Petah Tikva – Maccabi Tel Aviv 2 2.20 0:1
10.02.2017 1. FSV Mainz 05 – FC Augsburg 1 2.10 2:0
11.02.2017 CD Cova da Piedade – Penafiel 1 2.70 1:1
12.02.2017 Mirandes – R. Oviedo 2 3.10 0:2
13.02.2017 Wadi Degla – Petrojet X 2.80 0:0
14.02.2017 Preston – Birmingham 1 2.10 2:1
15.02.2017 Ituano – Sao Bento 1 2.15 1:0
16.02.2017 Anderlecht-  Zenit Petersburg 1 2.80 2:0
17.02.2017 FC Augsburg – Bayer Leverkusen 2 2.40 1:3
18.02.2017 Caen – Lille 2 3.20 0:1
19.02.2017 R. Oviedo – Getafe 1 2.40 2:1
20.02.2017 West Ham U23 – Fulham U23 1 2.25 2:0
21.02.2017 Charlton – Oxford Utd 2 3.10 0:1
22.02.2017 Covilha – Portimonense 1 2.60 1:0
23.02.2017 FC Copenhagen – Ludogorets X 3.40 0:0
24.02.2017 Las Palmas – Real Sociedad 2 2.70 0:1
25.02.2017 Fleetwood Town – Northampton 1 2.20 3:0
26.02.2017 St. Polten – Sturm Graz 1 3.75 2:1
27.02.2017 Apollon – APOEL 1 2.80 2:0
28.02.2017 Crawley Town – Exeter 2 2.10 1:2

Record for month January 2017

Date Match Tip Odd Score
01.01.2017 Southport – Wrexham 1 2.70 3:2
02.01.2017 Shrewsbury – Fleetwood Town 2 2.50 0:1
03.01.2017 AEK Larnaca – Apollon03.01.2017 2 3.80 1:3
04.01.2017 Al-Gharafa  – Al Ahli Doha 1 2.30 2:0
05.01.2017 H. Akko – Yehuda X 3.10 3:3
07.01.2017 Real Sociedad – Sevilla 2 2.90 0:4
08.01.2017 Chievo – Atalanta 2 2.25 1:4
09.01.2017 FC Emmen (Ned) – Meppen (Ger) 2 3.50 0:1
10.01.2017 Coventry – Brighton U23 1 2.10 3:0
12.01.2017 FC Augsburg (Ger) – Hannover (Ger) X 3.40 1:1
13.01.2017 Lyon – Duchere Pau 1 2.20 1:0
14.01.2017 West Ham Crystal Palace 1 2.40 3:0
15.01.2017 Reus Deportiu – Almeria 1 2.15 1:0
16.01.2017 Liverpool U23 – Manchester United U23 2 2.60 0:1
18.01.2017 Young Boys (Sui) – Wurzburger Kickers (Ger) 1 2.20 2:0
19.01.2017 Ludogorets (Bul) Arsenal Tula (Rus) 1 2.05 1:1
20.01.2017 Sochaux – Clermont 1 2.20 3:3
21.01.2017 Norwich – Wolves 1 2.10 3:1
22.01.2017 Cadiz CF – Almeria 1 2.10 1:0
24.01.2017 Oldham – Peterborough 1 2.70 2:0
25.01.2017 St. Truiden – KV Mechelen 1 2.20 2:1
26.01.2017 Platanias – FC Giannina 1 2.60 1:0
27.01.2017 Osasuna – Malaga X 3.40 1:1
28.01.2017 Charleroi – Waregem 1 2.40 2:1
29.01.2017 Lorient – Dijon 2 3.80 2:3
31.01.2017 Burnley – Leicester 1 2.95 1:0

Record for month December

Date Match Tip Odd Score
02.12.2016 Neustadt – Liefering 2 2.10 0:1
03.12.2016 Bromley – Maidstone 1 2.10 2:0
04.12.2016 U. Madeira – Santa Clara 1 2.30 1:0
05.12.2016 Ferreira – Boavista 1 2.25 2:1
06.12.2016 Eastbourne Borough – Leiston 1 2.10 1:1
07.12.2016 St. Liege – Ajax 1 2.20 1:1
09.12.2016 Beziers Les – Herbiers 1 2.25 1:0
10.12.2016 Brentford – Burton 1 2.10 2:1
11.12.2016 Leixoes – Portimonense X 3.20 0:0
12.12.2016 AlbinoLeffe – Venezia 2 2.30 0:1
13.12.2016 Halifax – Eastleigh 2 2.80 0:2
14.12.2016 Maceratese – Lumezzane 1 2.75 1:0
16.12.2016 ASM Belfort – Paris FC 2 2.80 0:2
17.12.2016 Raith – Dundee Utd X 3.80 0:0
18.12.2016 Leganes – Eibar X 3.10 1:1
19.12.2016 Nurnberg – Kaiserslautern 1 2.10 2:1
20.12.2016 Boston – Curzon 1 2.25 3:1
21.12.2016 Dijon – Toulouse 1 2.50 2:0
22.12.2016 Palermo – Pescara X 3.20 1:1
24.12.2016 Entella – Novara 1 2.40 4:1
26.12.2016 Charleroi – Anderlecht 2 2.40 0:2
27.12.2016 Enppi – El Gaish 1 2.40 2:0
28.12.2016 Arab Contractors – Petrojet 1 2.80 1:0
29.12.2016 Bari – Spal X 3.10 1:1
30.12.2016 Cittadella – Entella 1 2.30 2:1
31.12.2016 Preston – Sheffield Wed X 3.25 1:1

Record for month November

Date Match Tip Odd Score
01.11.2016 Benfica U19 – Dynamo Kiev U19 2 320 1:2
03.11.2016 Zorya – Feyenoord X 3.40 1:1
04.11.2016 Epinal – Beziers X 2.90 0:0
05.11.2016 Freiburg – Wolfsburg 2 2.80 0:3
06.11.2016 Sassuolo – Atalanta X 3.20 0:3
07.11.2016 Piacenza – Como 1 2.30 3:1
08.11.2016 Dartford – St. Albans 2 3.50 0:2
09.11.2016 Wycombe – Coventry 2 2.30 2:4
10.11.2016 Lebanon – Palestine X 3.40 1:1
11.11.2016 Goias – Joinville 1 2.20 3:2
12.11.2016 Coventry – Scunthorpe 2 2.50 0:1
13.11.2016 Varzim – Covilha 2 2.80 0:1
14.11.2016 Hungerford – Welling 1 2.20 1:0
15.11.2016 Halifax – Dagenham & Red. 1 2.80 2:1
16.11.2016 Glenavon – Cliftonville 1 2.30 1:1
18.11.2016 FC Emmen – Cambuur 2 2.30 0:1
19.11.2016 Altach – Sturm Graz 2 2.60 1:1
20.11.2016 Tenerife – UCAM Murcia 1 2.10 2:1
21.11.2016 Silkeborg – Esbjerg 1 2.05 3:0
22.11.2016 Rochdale – Walsall 1 2.10 4:0
23.11.2016 Tanta – El-Entag El-Harby 1 2.90 1:0
25.11.2016 Setubal – Rio Ave 2 2.85 0:1
26.11.2016 Zwolle – Groningen 2 3.10 0:4
27.11.2016 Winterthur – Schaffhausen 2 2.50 0:1
29.11.2016 Gateshead – Tranmere 2 2.60 0:1
30.11.2016 Guingamp – Nice 2 3.00 0:1

Record for month October

Date Match Tip Odd Score
01.10.2016 Caen – Toulouse 1 2.80 1:0
02.10.2016 Liberec – Teplice 1 2.10 2:0
03.10.2016 Concordia – Pandurii 2 2.25 0:0
04.10.2016 Dover Ath. – Sutton 1 2.10 3:1
06.10.2016 Mauritania – Canada 2 2.75 0:4
07.10.2016 Hajduk Split (Cro) – Zrinjski (Bih) 1 2.15 2:0
08.10.2016 Blackpool – Cambridge Utd 1 2.15 1:1
09.10.2016 Pisa – Spal 2 2.80 0:1
10.10.2016 Brage – Vasteras SK X 3.75 1:1
11.10.2016 Dundalk – Cork City 1 2.25 2:1
12.10.2016 Cirbonero – Guijuelo X 2.90 0:0
14.10.2016 Kapfenberg – A. Lustenau 2 2.40 0:1
15.10.2016 Notts County – Crewe X 3.75 1:1
16.10.2016 Zaglebie Sosnowiec – Legnica 1 2.30 1:0
17.10.2016 Sochaux – Lens 1 2.40 1:0
18.10.2016 Reading – Aston Villa 2 2.90 1:2
19.10.2016 Leixoes – Braga B X 3.00 2:2
20.10.2016 Genk – Ath Bilbao X 3.75 2:0
22.10.2016 Dijon – Lorient 1 2.25 1:0
23.10.2016 Cadiz CF – UCAM Murcia X 3.00 2:2
25.10.2016 Southport – York 1 2.40 2:0
26.10.2016 Penafiel  – Covilha X 3.10 1:1
28.10.2016 Orleans – Troyes X 3.00 1:1
29.10.2016 Maidstone – Macclesfield 2 2.45 2:1
30.10.2016 Lugo – Cadiz CF 1 2.10 0:1
31.10.2016 Newcastle Utd U23 – Middlesbrough U23 1 2.10 2:0

Record for month September

Date Match Tip Odd Score
01.09.2016 Sport Recife (Bra) – Santa Cruz (Bra)  2 2.90 0:1
02.09.2016 CA Bastia – Chateauroux 1 3.20 2:0
03.09.2016 Dartford – Maidenhead X 3.50 0:0
04.09.2016 Avarta – B.93 2 3.30 0:1
06.09.2016 Concord – Stortford X 3.50 0:0
07.09.2016 TSV Steinbach – Eintracht Trier 1 2.45 2:0
08.09.2016 Alcorcon  – Getafe 1 3.50 1:0
09.09.2016 Ilves – Rovaniemi 1 2.40 2:1
10.09.2016 Ingolstadt – Hertha 2 3.50 0:2
11.09.2016 Strommen – Mjondalen X 3.40 0:0
12.09.2016 Chelmsford – East Thurrock X 4.00 2:2
13.09.2016 Southport – Barrow 2 2.40 1:4
15.09.2016 Nice – Schalke 2 2.60 0:1
16.09.2016 CA Bastia – Pau 1 2.10 2:1
17.09.2016 Southend – Millwall 2 2.10 3:1
18.09.2016 Getafe – R. Oviedo 1 2.20 2:1
20.09.2016 Laval – Sochaux 2 2.60 1:1
22.09.2016 Stromsgodset – Valerenga 1 2.10 2:0
23.09.2016 Sochaux – AC Ajaccio 1 2.10 1:0
24.09.2016 Peterborough – Walsall 1 2.10 1:1
25.09.2016 Vestmannaeyjar – Valur 2 2.05 4:0
26.09.2016 Union Berlin – St. Pauli 1 2.20 2:0
27.09.2016 Walsall – Scunthorpe 2 2.20 1:4
28.09.2016 Sporting B – Cova De Piedade 1 2.20 5:1
29.09.2016 El Gaish – El Ismaily X 3.20 1:1
30.09.2016 Beziers – Dunkerque 1 2.70 1:0

Record for month August

DATE MATCH TIP ODD Score
01.08.2016 Aalborg – Odense X 3.40 2:2
02.08.2016 Selingenporten – Schalding 2 2.30 1:6
03.08.2016 Tupi – Parana 1 2.80 2:0
05.08.2016 Silkeborg – Lingby 2 2.40 0:4
06.08.2016 Eupen – Mechelen 2 2.90 0:2
07.08.2016 KTP – KPV 1 2.30 5:3
08.08.2016 Soligorsk – Bate 2 2.15 0:2
10.08.2016 Lahti – Ilves 1 2.35 3:2
11.08.2016 Verdy – Kanazawa  1 2.40 4:1
12.08.2016 Bourg – Auxerre  2 3.40 2:4
13.08.2016 Mitchelton – Rochedale  1 2.60 2:1
14.08.2016 1860 Munchen – Bilefeld  1 2.40 1:0
15.08.2016 Curzon – Darlington  2 2.20 1:2
16.08.2016 Dinamo – Salzburg  X 3.20 1:1
17.08.2016 Fleetwood – Oxford  1 2.45 2:0
18.08.2016 Vojvodina – Alkmaar  2 2.30 0:3
19.08.2016 Laval – Ajaccio  2 2.70 0:1
20.08.2016 Admira – Ried  1 2.45 1:0
21.08.2016 Palermo – Sassuolo X 3.40 0:1
22.08.2016 Maccabi – Hapoel  1 2.40 1:0
24.08.2016 Apoel – Kopenhagen  X 3.40 1:1
25.08.2016 Jonava – Utenis  1 2.30 1:0
27.08.2016 Port Vale – Scunthorpe  1 2.90 3:1
28.08.2016 Udinese – Empoli  1 2.20 2:0
30.08.2016 Atletico PR – Bottafogo  1 2.20 1:0

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:image/png;base64,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:image/png;base64,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data:image/png;base64,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Date Match League Tip Odd Score
25.06.2017 Assyriska FF – IFK Lulea SWEDEN: Division 1 – Norra 2/1 ( ht/ft ) 23.00 0-1 / 3-2
11.06.2017 Mjondalen – Ull/Kisa NORWAY: OBOS-ligaen 2/1 ( ht/ft ) 21.00 0-1 / 3-1
27.05.2017 Varbergs – Falkenbergs SWEDEN: Superettan 1/2 ( ht/ft ) 41.00 2-1 / 3-5
21.05.2017 Vasteras SK – Sandvikens SWEDEN: Division 1 – Norra 2/1 ( ht/ft ) 23.00 0-1 / 2-1
13.05.2017 Partizan – FK Vozdovac SERBIA: Super Liga 2/1 ( ht/ft ) 26.00 0-1 / 2-1
07.05.2017 AlbinoLeffe – Santarcangelo ITALY: Lega Pro – Group B 2/1 ( ht/ft ) 29.00 0-1 / 3-1
30.04.2017 Admira – Rapid Vienna AUSTRIA: Tipico Bundesliga 2/1 ( ht/ft ) 41.00 1-2 / 3-2
22.04.2017 Maidenhead – Ebbsfleet ENGLAND: Vanarama National League 1/2 ( ht/ft ) 29.00 1-0 / 1-2
16.04.2017 Assyriska BK – Oddevold SWEDEN: Division 1 – Södra 2/1 ( ht/ft ) 29.00 0-1 / 2-1
08.04.2017 Northampton – Sheffield Utd ENGLAND: League One 1/2 ( ht/ft ) 21.00 1-0 / 1-2
02.04.2017 Lillestrom – Sandefjord NORWAY: Eliteserien 2/1 ( ht/ft ) 21.00 0-1 / 3-1
25.03.2017 Barnet – Cheltenham ENGLAND: League Two 2/1 ( ht/ft ) 29.00 0-1 / 3-1
18.03.2017 Brondby – Lyngby DENMARK: Superliga 2/1 ( ht/ft ) 23.00 0-1 / 3-2
14.03.2017 Weston – Bath City ENGLAND: Vanarama National League 1/2 ( ht/ft ) 29.00 1-0 / 1-2
12.03.2017 Karmiotissa – Achnas CYPRUS: First Division 2/1 ( ht/ft ) 29.00 0-1 / 5-3
04.03.2017 Nuneaton – Gainsborough ENGLAND: Vanarama  League North 2/1 ( ht/ft ) 21.00 0-1 / 2-1
26.02.2017 Montana – Pirin Blagoevgrad BULGARIA: Parva Liga 1/2 ( ht/ft ) 29.00 1-0 / 1-2
18.02.2017 Cambridge Utd – Newport ENGLAND: League Two 2/1 ( ht/ft ) 26.00 0-1 / 3-2
12.02.2017 Moreirense – Sporting PORTUGAL: Primeira Liga 1/2 ( ht/ft ) 21.00 2-1 / 2-3
04.02.2017 Walsall – Northampton ENGLAND: League One 2/1 ( ht/ft ) 26.00 0-1 / 2-1
29.01.2017 Ath Bilbao – Gijon SPAIN: LaLiga 2/1 ( ht/ft ) 21.00 0-1 / 2-1
21.01.2017 Halifax – Salfrod ENGLAND: Vanarama National League 2/1 ( ht/ft ) 26.00 0-2 / 4-2
15.01.2017 Anagennisi Derynia – Achnas CYPRUS: First Division 1/2 ( ht/ft ) 23.00 1-3 / 2-3
07.01.2017 Napoli – Sampdoria ITALY: Serie A 2/1 ( ht/ft ) 21.00  0-1 / 2-1
31.12.2016 Ards – Ballymena NORTHERN IRELAND: Premiership 2/1 ( ht/ft ) 29.00 1-2 / 4-2
26.12.2016 Newport – Portsmouth ENGLAND: League Two 1/2 ( ht/ft ) 23.00 1-0 / 2-3
18.12.2016 Hapoel Haifa – Ashkelon ISRAEL: Ligat ha'Al 2/1 ( ht/ft ) 26.00 0-1 / 3-1
10.12.2016 Istra 1961 – Osijek CROATIA: 1. HNL 1/2 ( ht/ft ) 34.00 1-0 / 1-3
04.12.2016 St. Gallen – Sion SWITZERLAND: Super League 2/1 ( ht/ft ) 34.00  0-1 / 2-1
26.11.2016 Lommel Utd – Tubize BELGIUM: Proximus League 1/2 ( ht/ft ) 29.00 1-0 / 1-2
19.11.2016 Carlisle – Exeter ENGLAND: League Two 2/1 ( ht/ft ) 21.00 0-1 / 2-1
12.11.2016 Gillingham FC – Northampton ENGLAND: League One 2/1 ( ht/ft ) 29.00 0-1 / 2-1
05.11.2016 AEK Larnaca – AEL Limassol CYPRUS: First Division 2/1 ( ht/ft ) 26.00 0-1 / 2-1
29.10.2016 Boreham Wood – Woking ENGLAND: Vanarama National League 2/1 ( ht/ft ) 21.00 0-1 / 2-1
23.10.2016 Villarreal – Las Palmas SPAIN: LaLiga 2/1 ( ht/ft ) 21.00 0-1 / 2-1
18.10.2016 Bradford – Southend ENGLAND: League One 2/1 ( ht/ft ) 23.00 1-0 / 1-1
16.10.2016 Ath Bilbao – Real Sociedad SPAIN: LaLiga 2/1 ( ht/ft ) 23.00 0-1 / 2-1
14.10.2016 Derry City – Bohemians IRELAND: Premier Divisiion 2/1 ( ht/ft ) 21.00 0-1 / 2-1
08.10.2016 Gillingham FC – Oldham ENGLAND: League One 1/2 ( ht/ft ) 34.00 1-0 / 1-2
01.10.2016 Chaves – Belenenses PORTUGAL: Primeira Liga 2/1 ( ht/ft ) 34.00 0-1 / 3-1
25.09.2016 Nykopings – Brage SWEDEN: Division 1 – Norra 1/2 ( ht/ft ) 29.00 1-0 / 2-3
17.09.2016 Dagenham & Red. – North Ferriby ENGLAND: Vanarama National  2/1 ( ht/ft ) 26.00 1-0 / 2-0
11.09.2016 Aris – Anorthosis CYPRUS: First Division 1/2 ( ht/ft ) 26.00 1-0 / 1-2
03.09.2016 Altrincham – Stockport  England :Vanarama National North 1/2 ( ht/ft ) 29.00 2-1 / 2-3
27.08.2016 Fredensborg – Avarta Denmark  2nd Division – Group 1 1/2 ( ht/ft ) 29.00 1-0 / 1-2
21.08.2016 Mikkeli – PEPO Finland: Kakkonen Group A 1/2 ( ht/ft ) 35.00 2-1 / 2-3
13.08.2016 FC Copenhagen – Midtjylland Denmark: Superliga 2/1 ( ht/ft ) 25.00 0-1 / 3-1
03.08.2016 Santa Clara – Guimaraes B Portugal: Segunda Liga 2/1 ( ht/ft ) 26.00 0-1 / 2-1

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26.06.2017

18:00  Lokomotiv Moscow (Rus) – Ankaran Hrvatini (Slo)   over 2.5

Odd : 1.55  Score

free fixed matches          

sure wins betensured matches          


25.06.2017

15:00  Assyriska FF – IFK Lulea     1

Odd : 1.45  Score  3-2


24.06.2017

13:00  Randers FC (Den) – Skive (Den)    1

Odd : 1.45  Score  3-0


23.06.2017

21:15  KV Reykjavik – Sindri    1

Odd : 1.70  Score  2-1


20.06.2017

17:30  Shakhtyor Soligorsk Naftan    over 2.5

Odd : 1.40  Score  2-1


19.06.2017

18:00  Slovakia U21 – England U21    2

Odd : 1.75  Score  1-2


18.06.2017

17:30  KuPS – HJK    2

Odd : 1.60  Score  0-2


17.06.2017

21:00  Getafe – Huesca    1

Odd : 1.80  Score  3-0

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