| Time | Match | Score | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tip | |||||||||||||
13:00 | OsasunaMallorca ![]() | 2 1 | |||||||||||
11.73 X3.60 25.00
| |||||||||||||
15:15 | LevanteGirona ![]() | 1 1 | |||||||||||
12.80 X3.40 22.45
| |||||||||||||
17:30 | Atletico MadridReal Sociedad ![]() | 2 1 | |||||||||||
11.62 X3.90 25.25
| |||||||||||||
20:00 | Athletic BilbaoBarcelona ![]() | 1 2 | |||||||||||
14.75 X4.50 21.62
| |||||||||||||
14:30 | SC FreiburgBayer Leverkusen ![]() | 2 1 | |||||||||||
13.00 X3.30 22.38
| |||||||||||||
14:30 | HeidenheimTSG Hoffenheim ![]() | 1 2 | |||||||||||
15.00 X4.50 21.57
| |||||||||||||
14:30 | WolfsburgHamburg ![]() | 2 1 | |||||||||||
12.30 X3.50 23.00
| |||||||||||||
14:30 | MainzVfB Stuttgart ![]() | 1 2 | |||||||||||
13.20 X3.60 22.15
| |||||||||||||
14:30 | RB LeipzigAugsburg ![]() | 3 1 | |||||||||||
11.42 X5.00 26.50
| |||||||||||||
17:30 | CologneBorussia Dortmund ![]() | 1 2 | |||||||||||
14.10 X4.00 21.75
| |||||||||||||
12:30 | WatfordWrexham ![]() | 1 1 | |||||||||||
12.20 X3.25 23.10
| |||||||||||||
12:30 | BlackburnPortsmouth ![]() | 1 1 | |||||||||||
12.60 X3.20 22.75
| |||||||||||||
12:30 | HullMillwall ![]() | 1 2 | |||||||||||
13.00 X3.30 22.35
| |||||||||||||
15:00 | CharltonBirmingham ![]() | 1 1 | |||||||||||
13.40 X3.30 22.15
| |||||||||||||
15:00 | Bristol CityCoventry ![]() | 2 2 | |||||||||||
13.50 X3.60 22.00
| |||||||||||||
15:00 | Sheff UtdWest Brom ![]() | 3 1 | |||||||||||
11.75 X3.70 24.50
| |||||||||||||
15:00 | SwanseaStoke ![]() | 1 0 | |||||||||||
12.05 X3.30 23.70
| |||||||||||||
15:00 | DerbySheff Wed ![]() | 2 0 | |||||||||||
11.25 X5.50 212.00
| |||||||||||||
15:00 | IpswichLeicester ![]() | 3 0 | |||||||||||
11.48 X4.50 26.00
| |||||||||||||
15:00 | SouthamptonNorwich ![]() | 2 1 | |||||||||||
1 X 2
| |||||||||||||
14:00 | CagliariComo ![]() | 1 2 | |||||||||||
15.50 X4.00 21.60
| |||||||||||||
17:00 | AtalantaUdinese ![]() | 2 1 | |||||||||||
11.67 X3.70 25.50
| |||||||||||||
19:45 | JuventusPisa ![]() | 3 1 | |||||||||||
11.25 X6.25 211.00
| |||||||||||||
16:00 | NantesAngers ![]() | 1 1 | |||||||||||
12.20 X3.10 23.60
| |||||||||||||
18:00 | AuxerreStrasbourg ![]() | 1 2 | |||||||||||
13.60 X3.30 22.10
| |||||||||||||
20:05 | ToulouseMarseille ![]() | 1 2 | |||||||||||
13.00 X3.60 22.25
| |||||||||||||
15:30 | FC GroningenAjax ![]() | 1 2 | |||||||||||
12.88 X3.60 22.35
| |||||||||||||
19:00 | PSVAZ ![]() | 3 1 | |||||||||||
11.33 X5.50 28.00
| |||||||||||||
20:00 | ExcelsiorHeerenveen ![]() | 1 2 | |||||||||||
12.80 X3.75 22.30
| |||||||||||||
15:15 | 0.8Huesca Albacete1.5 | 1 1 | |||||||||||
12.55 X2.80 23.20
| |||||||||||||
15:15 | 1.3Real Sociedad B CD Castellon1.8 | 1 1 | |||||||||||
13.80 X3.70 21.90
| |||||||||||||
17:30 | 1.4Burgos Mirandes0.8 | 1 1 | |||||||||||
11.80 X3.30 24.75
| |||||||||||||
20:00 | 2.4Malaga Valladolid0.8 | 3 1 | |||||||||||
11.95 X3.40 23.80
| |||||||||||||
15:30 | 1.0Alverca AVS0.5 | 2 1 | |||||||||||
11.70 X3.60 25.00
| |||||||||||||
15:30 | 1.4Moreirense Nacional0.6 | 1 1 | |||||||||||
12.35 X3.25 23.00
| |||||||||||||
18:00 | 2.2Braga Sporting2.8 | 1 1 | |||||||||||
13.30 X3.40 22.15
| |||||||||||||
20:30 | 1.9Estoril Casa Pia1.3 | 3 1 | |||||||||||
11.73 X3.80 24.50
| |||||||||||||
14:00 | 0.9Spezia Monza2.3 | 0 1 | |||||||||||
13.60 X3.25 22.05
| |||||||||||||
14:00 | 0.8Avellino Padova1.2 | 1 2 | |||||||||||
12.20 X2.80 23.90
| |||||||||||||
14:00 | 2.1Sudtirol Virtus Entella1.2 | 1 0 | |||||||||||
12.05 X2.80 24.50
| |||||||||||||
16:15 | 2.5Venezia AC Reggiana0.9 | 3 1 | |||||||||||
11.36 X5.00 28.00
| |||||||||||||
18:30 | 1.4Modena Cesena0.7 | 1 1 | |||||||||||
11.83 X3.00 25.25
| |||||||||||||
12:00 | 1.2Nurnberg Fortuna Dusseldorf1.7 | 2 1 | |||||||||||
12.30 X3.60 22.80
| |||||||||||||
12:00 | 1.7Paderborn Eintracht Braunschweig1.2 | 3 1 | |||||||||||
11.48 X4.50 26.00
| |||||||||||||
12:00 | 1.6Darmstadt Holstein Kiel0.9 | 3 1 | |||||||||||
11.90 X3.70 23.70
| |||||||||||||
19:30 | 1.3Bochum Kaiserslautern1.4 | 2 1 | |||||||||||
11.95 X3.75 23.50
| |||||||||||||
15:00 | 0.5Ballymena Utd Portadown0.9 | 2 1 | |||||||||||
11.91 X3.25 23.60
| |||||||||||||
13:00 | 1.4Queen's Park Airdrieonians1.0 | 1 1 | |||||||||||
12.50 X3.10 22.55
| |||||||||||||
15:00 | 1.0Raith Partick1.9 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | 0.9Morton St Johnstone1.7 | 1 1 | |||||||||||
14.50 X3.75 21.57
| |||||||||||||
15:00 | 1.0Ayr Dunfermline1.9 | 1 2 | |||||||||||
1 X 2
| |||||||||||||
15:00 | 1.4Arbroath Ross County1.3 | 2 0 | |||||||||||
12.20 X3.10 23.00
| |||||||||||||
15:00 | 1.1Aris Salonika Atromitos Athinon1.6 | 1 1 | |||||||||||
12.00 X3.20 24.00
| |||||||||||||
16:00 | 1.9AEK Athens Larissa1.3 | 2 0 | |||||||||||
11.22 X6.00 210.00
| |||||||||||||
12:30 | 0.9Salford City Barnet1.8 | 1 1 | |||||||||||
12.55 X3.30 22.63
| |||||||||||||
12:30 | 1.8Grimsby Bromley1.8 | 1 2 | |||||||||||
12.10 X3.40 23.30
| |||||||||||||
15:00 | 0.9Crawley Town Swindon1.6 | 1 2 | |||||||||||
13.00 X3.50 22.20
| |||||||||||||
15:00 | 0.3Tranmere Oldham1.5 | 1 2 | |||||||||||
13.70 X3.50 21.91
| |||||||||||||
15:00 | 1.1Newport County Colchester1.3 | 1 2 | |||||||||||
14.20 X3.50 21.80
| |||||||||||||
15:00 | 1.2Gillingham Fleetwood Town1.4 | 1 2 | |||||||||||
12.15 X3.10 23.50
| |||||||||||||
15:00 | 1.0Walsall Notts County2.2 | 0 1 | |||||||||||
13.25 X3.20 22.20
| |||||||||||||
15:00 | 1.3Accrington Stanley Cambridge Utd2.3 | 0 1 | |||||||||||
14.33 X3.30 21.85
| |||||||||||||
15:00 | 1.0Bristol Rovers Crewe2.0 | 1 1 | |||||||||||
12.20 X3.40 23.10
| |||||||||||||
15:00 | 1.6Chesterfield Shrewsbury1.6 | 2 1 | |||||||||||
11.75 X3.50 24.50
| |||||||||||||
15:00 | 2.2Milton Keynes Dons Harrogate Town0.9 | 1 0 | |||||||||||
11.36 X4.50 28.50
| |||||||||||||
12:30 | 1.4Huddersfield Rotherham1.1 | 2 1 | |||||||||||
11.62 X3.70 25.25
| |||||||||||||
12:30 | 2.1Cardiff Lincoln City2.6 | 2 1 | |||||||||||
12.30 X3.30 23.00
| |||||||||||||
15:00 | 1.2Bradford Leyton Orient0.8 | 2 0 | |||||||||||
11.83 X3.40 24.33
| |||||||||||||
15:00 | 0.8Blackpool Wigan0.7 | 2 2 | |||||||||||
12.50 X3.30 22.75
| |||||||||||||
15:00 | 1.4Luton Reading1.6 | 2 1 | |||||||||||
11.80 X3.60 24.33
| |||||||||||||
15:00 | 1.0Burton Albion Stevenage1.4 | 2 1 | |||||||||||
12.63 X3.20 22.63
| |||||||||||||
15:00 | 1.7Stockport Mansfield0.9 | 1 1 | |||||||||||
11.60 X3.70 25.25
| |||||||||||||
15:00 | 1.1Peterborough Port Vale1.2 | 3 1 | |||||||||||
11.91 X3.50 23.60
| |||||||||||||
15:00 | 1.6Plymouth Doncaster1.4 | 2 2 | |||||||||||
11.91 X3.60 23.60
| |||||||||||||
15:00 | 1.2Barnsley Exeter1.2 | 2 2 | |||||||||||
12.05 X3.70 23.20
| |||||||||||||
15:00 | 2.2Bolton Wycombe2.0 | 1 1 | |||||||||||
12.00 X3.40 23.50
| |||||||||||||
13:00 | 2.2Istanbul Basaksehir Goztepe1.9 | 2 1 | |||||||||||
11.90 X3.30 24.20
| |||||||||||||
17:00 | 2.4Besiktas Galatasaray2.1 | 1 2 | |||||||||||
12.55 X3.70 22.45
| |||||||||||||
15:00 | 0.9OH Leuven Westerlo1.5 | 1 1 | |||||||||||
12.30 X3.40 22.80
| |||||||||||||
17:15 | 0.6FCV Dender EH Charleroi1.3 | 1 2 | |||||||||||
13.20 X3.30 22.20
| |||||||||||||
Learn about our prediction methodology and how we calculate accurate football score forecasts using advanced statistical models.
A Correct Score Prediction is a type of sports betting prediction where you forecast the exact final score of a match. For example, predicting that a football game will end 2-1 or 3-0 is a correct score prediction.
This type of prediction is challenging but popular because it often offers high odds compared to simpler bets, such as predicting the match winner or over/under goals.
At CorrectScore.Tips, we use a reliable formula based on statistical analysis to predict the expected number of goals for each team in a match:
This method considers both teams' performances and league trends, ensuring accurate predictions.
Love our tips? Bookmark this page for daily updates and for expert strategies, visit our Correct Score Betting Guide.
Bet responsibly - our tips are for informational purposes only. Always gamble within your means and consider seeking help if needed.
Our correct score predictions are calculated using advanced statistical modeling and algorithm predictions, featuring probability calculations based on Poisson distribution analysis. This mathematical approach delivers data-driven full-time score predictions by estimating expected goals through performance metrics analysis and pattern recognition techniques.
Our betting strategies focus on high odds betting opportunities, including longshot bets with strong value betting potential. We provide comprehensive risk management guidance, stake management recommendations and bankroll management strategies to maximize profit margins and return on investment.
Our predictive analytics system incorporates statistical modeling with probability theory to identify value analysis opportunities and odds comparison advantages across all major football leagues.
We model each match with expected goals (xG) derived from attack/defence strength, schedule context and league baselines. A Poisson goal model converts those xG values into exact scoreline probabilities and we surface the top edges only.
In low‑tempo or defensively solid leagues, the base probability mass sits on 0–1 goals per team. Where xG is compressed and prices are inflated, 1‑0 and 1‑1 frequently offer the best value versus market.
High shot volume, aggressive pressing or poor defensive metrics raise xG variance. In those fixtures our model shifts probability to 2‑1/2‑2, provided the market hasn’t fully priced the risk.
Use disciplined bankroll management. We suggest small fractions of Kelly (or flat units) and, when variance is high, split stakes across two to three top scorelines rather than going all‑in on one.
Yes. Many users pair the primary scoreline with correlated markets (BTTS, Over/Under) to reduce downside while retaining positive expected value.
Each league page features accurate scoreline forecasts based on our expected goals formula - combining team attacking strength, defensive performance and league scoring trends.
Score predictions for England's top tier, based on historical scorelines and team-level form data.
Scoreline forecasts for Italy's Serie A - calculated using team attack/defense metrics and average league goal ratios.
Expected score outcomes for Spanish fixtures, modeled using recent team form and defensive efficiency across La Liga.
Data-driven score forecasts for German Bundesliga matches - factoring in home/away dynamics and high goal averages.
Statistical predictions for France's top league, combining expected goals formulas with league-specific attack vs defense trends.
Find our daily match forecasts, each calculated using a trusted expected goals formula based on team strengths, defensive metrics and league scoring averages.
Statistically-backed forecasts for Monday's matchups - often featuring Premier League or La Liga clashes to close the week.
Scoreline predictions for Tuesday's fixtures, using xG calculations for Champions League or domestic cup ties.
Midweek score predictions for top European leagues, calculated through our statistical goal expectation model.
Thursday scoreline tips for top European leagues or domestic cup ties.
Open your football weekend with accurate Friday predictions - covering early Bundesliga, Ligue 1 and Eredivisie games.
Our most comprehensive day - from Premier League to Serie A, these Saturday forecasts rely on xG values, team form and league goal trends.
Finish the weekend with calculated Sunday forecasts, balancing home/away strengths and defensive performance patterns.
Discover our complete range of football predictions, all calculated using the same trusted expected goals formula that powers our correct score predictions.
Statistical draw forecasts based on team defensive strength and goal expectation analysis - identifying matches most likely to end in draws.
Both Teams To Score predictions calculated using attack strength metrics and defensive vulnerabilities of both teams.
High-scoring match forecasts using expected goals analysis to identify games likely to produce 3 or more total goals.
Low-scoring match predictions based on defensive strength analysis and goal expectation models for tight, tactical games.
Combined predictions for matches where both teams score AND a specific team wins - maximizing value through statistical analysis.