Time | Match | Score | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tip | |||||||||||||
16:00 | ![]() Moldova ![]() | 3 1 | |||||||||||
11.85 X3.30 24.10
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18:45 | ![]() Serbia ![]() | 0 2 | |||||||||||
123.00 X8.00 21.10
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18:45 | ![]() England ![]() | 0 4 | |||||||||||
141.00 X12.00 21.05
| |||||||||||||
18:45 | ![]() Armenia ![]() | 1 0 | |||||||||||
11.33 X5.00 29.00
| |||||||||||||
18:45 | ![]() Georgia ![]() | 0 3 | |||||||||||
11.44 X4.33 26.25
| |||||||||||||
18:45 | ![]() Israel ![]() | 3 1 | |||||||||||
11.20 X6.50 215.00
| |||||||||||||
18:45 | ![]() Hungary ![]() | 1 1 | |||||||||||
11.22 X6.00 213.00
| |||||||||||||
18:45 | ![]() Bulgaria ![]() | 3 0 | |||||||||||
11.04 X13.00 241.00
| |||||||||||||
00:30 | ![]() Ferroviaria SP ![]() | 2 1 | |||||||||||
11.55 X4.00 26.00
| |||||||||||||
22:30 | ![]() Clube do Remo ![]() | 1 1 | |||||||||||
12.15 X3.25 23.40
| |||||||||||||
22:30 | ![]() Botafogo SP ![]() | 3 1 | |||||||||||
11.65 X3.75 25.00
| |||||||||||||
00:30 | ![]() Boyaca Chico ![]() | 3 0 | |||||||||||
11.75 X3.30 24.75
| |||||||||||||
13:00 | ![]() MSK Povazska Bystrica ![]() | 1 1 | |||||||||||
1 X 2
| |||||||||||||
23:00 | ![]() Alianza Universidad ![]() | 2 1 | |||||||||||
11.30 X5.00 29.00
| |||||||||||||
17:00 | ![]() Ansbach ![]() | 2 2 | |||||||||||
1 X 2
| |||||||||||||
13:00 | 0.1Seychelles Gambia1.7 | 0 5 | |||||||||||
1 X 2
| |||||||||||||
16:00 | 0.2Somalia Mozambique1.3 | 1 2 | |||||||||||
1 X 2
| |||||||||||||
16:00 | 1.2Guinea Botswana1.0 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
16:00 | 1.6Nigeria Benin1.2 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
16:00 | 1.7South Africa Rwanda1.3 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
16:00 | 1.7Algeria Uganda1.9 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
19:00 | 1.7Ivory Coast Kenya2.1 | 3 0 | |||||||||||
1 X 2
| |||||||||||||
19:00 | 2.0Senegal Mauritania1.6 | 3 0 | |||||||||||
1 X 2
| |||||||||||||
19:00 | 2.0Gabon Burundi0.7 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
19:00 | 2.1Congo DR Sudan0.9 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
19:00 | 2.5Morocco Congo0.4 | 5 0 | |||||||||||
1 X 2
| |||||||||||||
00:00 | 2.0Honduras Haiti1.5 | 1 9 | |||||||||||
1 X 2
| |||||||||||||
02:00 | 2.2Costa Rica Nicaragua1.1 | 0 3 | |||||||||||
1 X 2
| |||||||||||||
23:00 | 2.1Curacao Trinidad & Tobago0.9 | 0 0 | |||||||||||
1 X 2
| |||||||||||||
02:05 | 1.9Tigres de Álica FC Mineros de Fresnillo1.1 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
09:30 | 1.8Chanmari FC Saikhamakawn FC1.7 | 3 2 | |||||||||||
1 X 2
| |||||||||||||
13:30 | 1.0Mizoram Police FC Kanan FC0.6 | 3 2 | |||||||||||
1 X 2
| |||||||||||||
10:30 | 1.6Vasco SC Sesa FA0.9 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
10:30 | 0.6Chinese Taipei Thailand1.8 | 0 3 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 0.2Afghanistan Pakistan0.5 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 0.7Bhutan Lebanon2.1 | 0 0 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 0.9Nepal Vietnam2.5 | 0 0 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.1India Singapore0.9 | 2 0 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.1Yemen Brunei1.6 | 0 1 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 0.7Maldives Tajikistan2.0 | 0 0 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.1Myanmar Syria1.9 | 0 4 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.1Turkmenistan Sri Lanka1.3 | 3 1 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.1Hong Kong Bangladesh1.1 | 2 0 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.6Philippines Timor Leste0.7 | 2 0 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 2.1Malaysia Laos0.6 | 8 0 | |||||||||||
1 X 2
| |||||||||||||
11:00 | 1.9South Korea Paraguay1.9 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
16:00 | 2.7Norway New Zealand1.8 | 3 0 | |||||||||||
1 X 2
| |||||||||||||
17:00 | 1.5Albania Jordan1.3 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
17:00 | 2.6Russia Bolivia1.1 | 3 0 | |||||||||||
1 X 2
| |||||||||||||
11:30 | 1.5Laci KF Kelcyra | 2 0 | |||||||||||
1 X 2
| |||||||||||||
11:30 | 2.0Tanjong Pagar United Reserves Geylang International Reserves1.3 | 0 1 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.5FC Viktoriya Sumy Metalurg Zaporizhya0.9 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 2.0Ahrobiznes Volochysk FSC Mariupol1.2 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
14:00 | 0.5Redonda FC Kabuscorp1.8 | 0 1 | |||||||||||
1 X 2
| |||||||||||||
14:30 | 1.2Desportivo da Huila Wiliete SC1.1 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
17:00 | 0.9Qatar United Arab Emirates1.6 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 1.7Saudi Arabia Iraq1.6 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
17:00 | 1.5ATSV Erlangen Eintracht Bamberg1.5 | 2 2 | |||||||||||
1 X 2
| |||||||||||||
18:00 | 1.1Blackpool Nottm Forest U210.5 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
18:00 | 1.6Crewe Liverpool U210.6 | 3 1 | |||||||||||
1 X 2
| |||||||||||||
18:30 | 2.0Bradford Everton U210.9 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
18:00 | 1.2Tubarao Camboriu FC1.2 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
18:00 | 2.2Criciuma B Caravaggio SC0.9 | 2 0 | |||||||||||
1 X 2
| |||||||||||||
18:00 | 2.4Boreham Wood Wolverhampton U211.2 | 2 0 | |||||||||||
1 X 2
| |||||||||||||
18:30 | 2.0Wimborne Town Yate Town0.9 | 3 1 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 0.8Berkhamsted Evesham United1.5 | 1 2 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 1.3Hanwell Town Farnham2.2 | 2 2 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 2.1Poole Town Dorchester1.3 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 0.9Plymouth Parkway Taunton Town1.2 | 2 2 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 1.2Uxbridge Hungerford Town1.6 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 0.9Basingstoke Chertsey Town1.1 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 1.5Sholing Gosport Borough1.6 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 2.5Walton & Hersham Havant and W1.3 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 0.4Canvey Island Brentwood Town2.7 | 1 3 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 0.7Hashtag United Wingate & Finchley1.1 | 1 2 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 1.0Ramsgate Welling1.0 | 3 2 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 1.9Cray Valley Paper Mills Chatham Town2.5 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 1.1Dartford Whitehawk1.5 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 1.8Billericay Town Cheshunt1.5 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
18:45 | 2.0St Albans Potters Bar Town0.6 | 1 0 | |||||||||||
1 X 2
|
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.