| Time | Match | Score | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tip | |||||||||||||
11:30 | ArsenalBournemouth ![]() | 3 1 | |||||||||||
11.45 X4.33 27.00
| |||||||||||||
14:00 | BurnleyBrighton ![]() | 1 2 | |||||||||||
14.50 X4.00 21.73
| |||||||||||||
14:00 | BrentfordEverton ![]() | 1 1 | |||||||||||
12.15 X3.30 23.50
| |||||||||||||
16:30 | LiverpoolFulham ![]() | 2 1 | |||||||||||
11.65 X4.20 24.75
| |||||||||||||
12:00 | Real SociedadCD Alaves ![]() | 3 1 | |||||||||||
11.73 X3.70 24.75
| |||||||||||||
14:15 | ElcheValencia ![]() | 2 1 | |||||||||||
12.40 X3.30 23.00
| |||||||||||||
16:30 | BarcelonaEspanyol ![]() | 3 1 | |||||||||||
11.29 X6.00 29.00
| |||||||||||||
19:00 | SevillaAtletico Madrid ![]() | 1 1 | |||||||||||
13.10 X3.10 22.45
| |||||||||||||
13:30 | Borussia DortmundBayer Leverkusen ![]() | 2 1 | |||||||||||
11.95 X3.80 23.60
| |||||||||||||
13:30 | RB LeipzigBorussia M'gladbach ![]() | 3 1 | |||||||||||
11.50 X4.75 25.50
| |||||||||||||
13:30 | HeidenheimUnion Berlin ![]() | 1 2 | |||||||||||
13.00 X3.50 22.30
| |||||||||||||
13:30 | WolfsburgEintracht Frankfurt ![]() | 2 2 | |||||||||||
12.55 X3.60 22.60
| |||||||||||||
16:30 | St PauliBayern Munich ![]() | 1 3 | |||||||||||
18.00 X5.00 21.36
| |||||||||||||
11:30 | QPRBristol City ![]() | 2 2 | |||||||||||
12.25 X3.30 23.10
| |||||||||||||
11:30 | NorwichIpswich ![]() | 1 1 | |||||||||||
12.90 X3.60 22.25
| |||||||||||||
11:30 | CoventrySheff Wed ![]() | 3 0 | |||||||||||
11.13 X8.50 217.00
| |||||||||||||
14:00 | Sheff UtdHull ![]() | 1 2 | |||||||||||
11.80 X3.75 24.20
| |||||||||||||
14:00 | CharltonPreston ![]() | 1 1 | |||||||||||
12.10 X3.30 23.50
| |||||||||||||
14:00 | StokeBlackburn ![]() | 1 1 | |||||||||||
12.63 X3.25 22.70
| |||||||||||||
14:00 | SouthamptonDerby ![]() | 2 1 | |||||||||||
11.75 X3.80 24.20
| |||||||||||||
14:00 | Oxford UtdWatford ![]() | 1 1 | |||||||||||
12.35 X3.20 23.00
| |||||||||||||
14:00 | MiddlesbroughPortsmouth ![]() | 2 1 | |||||||||||
11.53 X4.00 26.25
| |||||||||||||
14:00 | LeicesterSwansea ![]() | 2 2 | |||||||||||
12.10 X3.50 23.40
| |||||||||||||
13:00 | TorinoVerona ![]() | 2 1 | |||||||||||
11.85 X3.40 24.50
| |||||||||||||
13:00 | CagliariCremonese ![]() | 1 1 | |||||||||||
12.15 X3.10 23.60
| |||||||||||||
16:00 | AC MilanUdinese ![]() | 2 1 | |||||||||||
11.42 X4.50 28.00
| |||||||||||||
18:45 | AtalantaJuventus ![]() | 2 1 | |||||||||||
13.10 X3.40 22.30
| |||||||||||||
15:00 | LensPSG ![]() | 1 1 | |||||||||||
13.40 X3.80 21.91
| |||||||||||||
17:00 | AuxerreNantes ![]() | 1 1 | |||||||||||
12.00 X3.30 24.00
| |||||||||||||
19:05 | RennesAngers ![]() | 2 1 | |||||||||||
11.36 X4.75 28.50
| |||||||||||||
14:30 | 1.8FC Utrecht Telstar1.4 | 1 1 | |||||||||||
11.62 X3.70 26.00
| |||||||||||||
16:45 | 1.3Sparta Rotterdam PSV1.8 | 1 1 | |||||||||||
13.75 X4.20 21.83
| |||||||||||||
18:00 | 1.0FC Groningen Go Ahead Eagles1.3 | 1 1 | |||||||||||
11.85 X4.00 23.75
| |||||||||||||
19:00 | 0.5Heracles Ajax1.1 | 2 2 | |||||||||||
15.25 X4.33 21.57
| |||||||||||||
14:30 | 0.6AVS Guimaraes1.0 | 1 1 | |||||||||||
15.25 X3.80 21.65
| |||||||||||||
17:00 | 1.1Santa Clara Rio Ave1.0 | 1 1 | |||||||||||
11.75 X3.40 25.00
| |||||||||||||
19:30 | 0.9Estrela Sporting2.2 | 1 3 | |||||||||||
112.00 X6.00 21.22
| |||||||||||||
14:15 | 1.0Leganes Albacete1.1 | 1 1 | |||||||||||
12.15 X3.10 23.60
| |||||||||||||
14:15 | 1.9Burgos Sporting Gijon1.3 | 1 1 | |||||||||||
12.15 X3.10 23.60
| |||||||||||||
16:30 | 1.9Malaga Las Palmas1.8 | 2 1 | |||||||||||
12.30 X3.20 23.20
| |||||||||||||
19:00 | 0.7Cordoba Real Zaragoza1.2 | 1 2 | |||||||||||
11.91 X3.50 24.00
| |||||||||||||
13:00 | 1.0Sudtirol Modena1.6 | 1 1 | |||||||||||
13.10 X3.10 22.38
| |||||||||||||
13:00 | 1.0Juve Stabia Cesena0.7 | 2 1 | |||||||||||
12.20 X3.20 23.50
| |||||||||||||
13:00 | 1.7Pescara Sampdoria1.2 | 1 1 | |||||||||||
12.25 X3.30 23.20
| |||||||||||||
13:00 | 1.2Virtus Entella Venezia2.1 | 1 2 | |||||||||||
15.00 X3.80 21.67
| |||||||||||||
15:15 | 1.1Avellino Catanzaro2.1 | 2 2 | |||||||||||
12.70 X3.25 22.63
| |||||||||||||
17:30 | 1.9Monza Bari1.4 | 2 0 | |||||||||||
11.33 X5.00 29.00
| |||||||||||||
11:00 | 1.8Hertha Berlin Kaiserslautern1.3 | 2 1 | |||||||||||
11.75 X4.20 24.00
| |||||||||||||
11:00 | 0.7SC Preussen Munster Greuther Furth1.4 | 2 1 | |||||||||||
12.20 X3.40 23.20
| |||||||||||||
18:30 | 1.6Darmstadt Hannover 962.1 | 2 1 | |||||||||||
12.60 X3.60 22.50
| |||||||||||||
11:00 | 1.2Nurnberg Dynamo Dresden1.3 | 2 1 | |||||||||||
12.10 X3.60 23.30
| |||||||||||||
12:00 | 2.0Linfield Larne FC1.4 | 1 1 | |||||||||||
12.20 X3.20 22.80
| |||||||||||||
14:00 | 0.3Crusaders Portadown1.0 | 1 2 | |||||||||||
12.80 X3.30 22.20
| |||||||||||||
14:00 | 1.5Carrick Rangers Ballymena Utd1.0 | 3 1 | |||||||||||
11.95 X3.40 23.30
| |||||||||||||
14:00 | 0.6Bangor FC Glenavon1.2 | 1 2 | |||||||||||
12.80 X3.20 22.30
| |||||||||||||
14:00 | 2.1Glentoran Dungannon Swifts1.0 | 3 1 | |||||||||||
11.29 X4.50 28.50
| |||||||||||||
14:00 | 2.3Coleraine Cliftonville1.4 | 2 1 | |||||||||||
11.38 X4.00 26.50
| |||||||||||||
14:00 | 1.2Raith Morton1.3 | 3 1 | |||||||||||
11.83 X3.20 23.80
| |||||||||||||
14:00 | 1.9Partick Dunfermline2.0 | 2 1 | |||||||||||
11.91 X3.20 23.50
| |||||||||||||
14:00 | 2.0St Johnstone Airdrieonians0.9 | 1 1 | |||||||||||
11.25 X5.25 29.00
| |||||||||||||
14:00 | 0.4Ayr Arbroath1.1 | 1 1 | |||||||||||
12.25 X3.00 22.88
| |||||||||||||
11:30 | 2.8Lincoln City Leyton Orient1.7 | 3 1 | |||||||||||
11.53 X3.90 26.25
| |||||||||||||
11:30 | 1.5Cardiff Bolton1.5 | 1 1 | |||||||||||
11.73 X4.00 24.20
| |||||||||||||
11:30 | 1.9Plymouth Exeter0.5 | 2 1 | |||||||||||
11.57 X4.00 25.50
| |||||||||||||
14:00 | 1.1Doncaster Reading1.5 | 1 2 | |||||||||||
11.90 X3.70 23.70
| |||||||||||||
14:00 | 1.2Blackpool Peterborough1.0 | 2 1 | |||||||||||
11.83 X4.00 23.70
| |||||||||||||
14:00 | 1.6Bradford Stevenage1.9 | 1 0 | |||||||||||
12.20 X3.00 23.70
| |||||||||||||
14:00 | 1.2Burton Albion AFC Wimbledon1.1 | 2 1 | |||||||||||
11.80 X3.50 24.33
| |||||||||||||
14:00 | 1.2Huddersfield Wycombe1.5 | 2 1 | |||||||||||
12.20 X3.30 23.20
| |||||||||||||
14:00 | 0.6Rotherham Barnsley1.0 | 1 2 | |||||||||||
12.45 X3.50 22.63
| |||||||||||||
14:00 | 1.5Wigan Mansfield1.4 | 0 1 | |||||||||||
12.45 X3.30 22.80
| |||||||||||||
14:00 | 1.7Stockport Port Vale1.3 | 3 1 | |||||||||||
11.36 X4.50 27.00
| |||||||||||||
11:30 | 1.8Milton Keynes Dons Bromley1.9 | 1 1 | |||||||||||
11.75 X3.50 24.75
| |||||||||||||
11:30 | 2.5Bristol Rovers Crawley Town1.1 | 1 0 | |||||||||||
12.00 X3.30 23.75
| |||||||||||||
14:00 | 1.7Barnet Barrow0.6 | 2 1 | |||||||||||
11.55 X3.80 26.00
| |||||||||||||
14:00 | 1.2Walsall Cheltenham1.2 | 1 1 | |||||||||||
11.73 X3.40 25.00
| |||||||||||||
14:00 | 1.5Cambridge Utd Notts County1.8 | 2 1 | |||||||||||
11.83 X3.30 24.50
| |||||||||||||
14:00 | 1.9Chesterfield Tranmere0.1 | 2 1 | |||||||||||
11.50 X4.10 26.50
| |||||||||||||
14:00 | 1.0Newport County Harrogate Town1.1 | 1 1 | |||||||||||
12.25 X3.30 23.10
| |||||||||||||
14:00 | 1.2Shrewsbury Oldham2.3 | 1 2 | |||||||||||
13.60 X3.25 22.05
| |||||||||||||
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.