| Time | Match | Score | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tip | |||||||||||||
17:45 | BarcelonaNewcastle ![]() | 2 2 | |||||||||||
11.53 X4.75 25.00
| |||||||||||||
20:00 | TottenhamAtletico Madrid ![]() | 2 1 | |||||||||||
12.50 X3.75 22.55
| |||||||||||||
20:00 | LiverpoolGalatasaray ![]() | 3 1 | |||||||||||
11.25 X6.50 210.00
| |||||||||||||
20:00 | Bayern MunichAtalanta ![]() | 1 1 | |||||||||||
11.33 X5.50 28.00
| |||||||||||||
15:30 | BragaFerencvarosi TC ![]() | 2 1 | |||||||||||
11.48 X4.50 26.50
| |||||||||||||
19:45 | SouthamptonNorwich ![]() | 2 1 | |||||||||||
11.95 X3.50 23.75
| |||||||||||||
18:00 | FrosinoneBari ![]() | 2 1 | |||||||||||
11.45 X4.20 27.00
| |||||||||||||
19:00 | CarrareseSampdoria ![]() | 1 1 | |||||||||||
12.40 X2.88 23.20
| |||||||||||||
19:00 | AvellinoSudtirol ![]() | 1 1 | |||||||||||
12.88 X2.88 22.75
| |||||||||||||
19:00 | PescaraVirtus Entella ![]() | 1 1 | |||||||||||
12.20 X3.40 23.20
| |||||||||||||
19:45 | GlentoranCliftonville ![]() | 1 1 | |||||||||||
11.62 X3.40 24.75
| |||||||||||||
13:00 | AlanyasporKocaelispor ![]() | 1 1 | |||||||||||
12.00 X3.25 23.90
| |||||||||||||
15:00 | GoztepeGalatasaray ![]() | 1 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | Caykur RizesporSamsunspor ![]() | 1 1 | |||||||||||
1 X 2
| |||||||||||||
17:00 | EyupsporTrabzonspor ![]() | 1 2 | |||||||||||
14.75 X3.90 21.65
| |||||||||||||
17:00 | Istanbul BasaksehirAntalyaspor ![]() | 1 0 | |||||||||||
11.53 X4.00 26.00
| |||||||||||||
20:00 | 2.4Milton Keynes Dons Colchester1.1 | 2 1 | |||||||||||
11.70 X3.60 24.75
| |||||||||||||
22:00 | 2.5Palmeiras Botafogo1.1 | 2 0 | |||||||||||
11.57 X3.90 26.00
| |||||||||||||
22:00 | 2.1EC Bahia Bragantino1.3 | 2 0 | |||||||||||
11.95 X3.40 24.00
| |||||||||||||
22:30 | 1.7Athletico Paranaense Cruzeiro1.8 | 1 1 | |||||||||||
12.40 X3.20 23.10
| |||||||||||||
23:00 | 1.1Mirassol Coritiba1.8 | 2 2 | |||||||||||
11.75 X3.40 25.25
| |||||||||||||
23:00 | 1.0Atletico Mineiro Sao Paulo2.5 | 2 1 | |||||||||||
12.35 X3.10 23.30
| |||||||||||||
00:15 | 1.0Central Cordoba Deportivo Riestra0.9 | 1 0 | |||||||||||
12.90 X2.75 22.90
| |||||||||||||
00:15 | 1.0Gimnasia Mendoza Estudiantes LP1.8 | 0 1 | |||||||||||
13.50 X2.80 22.40
| |||||||||||||
17:00 | 1.4SV Ried LASK Linz2.1 | 0 1 | |||||||||||
12.75 X3.20 22.55
| |||||||||||||
00:30 | 1.6Londrina Operario PR2.0 | 1 1 | |||||||||||
12.30 X3.00 23.40
| |||||||||||||
00:30 | 2.0Portuguesa Desportos Paysandu2.0 | 4 1 | |||||||||||
11.80 X3.40 24.75
| |||||||||||||
00:30 | 2.2Sport Recife Athletic Club MG1.1 | 1 1 | |||||||||||
11.55 X3.80 26.50
| |||||||||||||
22:00 | 1.3Vila Nova AD Confianca1.8 | 1 2 | |||||||||||
11.80 X3.30 25.00
| |||||||||||||
23:00 | 1.6Atletico GO Ponte Preta0.7 | 2 1 | |||||||||||
11.70 X3.60 25.00
| |||||||||||||
01:30 | 1.7Millonarios Atletico Nacional Medellin2.1 | 1 1 | |||||||||||
12.88 X3.25 22.50
| |||||||||||||
21:10 | 1.8Deportivo Pasto Boyaca Chico0.7 | 4 1 | |||||||||||
11.50 X3.60 28.50
| |||||||||||||
23:20 | 2.0Internacional de Bogota Deportivo Pereira0.4 | 3 1 | |||||||||||
11.62 X3.40 26.25
| |||||||||||||
21:00 | 1.6Deportivo Mixco CD Achuapa1.2 | 1 0 | |||||||||||
11.42 X3.70 27.00
| |||||||||||||
23:15 | 1.4CD Olimpia Olancho FC1.7 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
17:30 | 1.0TSV Aubstadt Greuther Furth II0.8 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
17:30 | 1.5Golden Arrows Stellenbosch FC1.3 | 1 1 | |||||||||||
13.50 X2.80 22.10
| |||||||||||||
21:30 | 1.2Rubio Nu Cerro Porteno2.0 | 0 1 | |||||||||||
14.50 X3.20 21.75
| |||||||||||||
23:30 | 1.1Guarani Asuncion Deportivo Recoleta1.3 | 2 2 | |||||||||||
11.73 X3.25 24.20
| |||||||||||||
23:30 | 1.4Libertad Asuncion Nacional Asuncion1.7 | 1 1 | |||||||||||
12.00 X3.00 23.60
| |||||||||||||
00:00 | 0.7Leones FC LDU Quito1.1 | 1 1 | |||||||||||
14.75 X3.20 21.83
| |||||||||||||
21:00 | 1.2SD Aucas Tecnico Universitario1.0 | 1 1 | |||||||||||
11.75 X3.40 24.50
| |||||||||||||
21:00 | 1.5Macara Delfin SC1.1 | 2 0 | |||||||||||
11.70 X3.30 25.50
| |||||||||||||
21:00 | 1.0Orense Mushuc Runa1.2 | 2 1 | |||||||||||
11.90 X3.30 24.00
| |||||||||||||
21:00 | 1.3Club Atletico Libertad Barcelona Guayaquil1.8 | 1 1 | |||||||||||
12.80 X3.10 22.50
| |||||||||||||
21:00 | 1.2Universidad Catolica del Ecuador Deportivo Cuenca2.3 | 1 1 | |||||||||||
11.67 X3.60 25.00
| |||||||||||||
21:00 | 1.7Manta FC Guayaquil City0.8 | 2 1 | |||||||||||
11.95 X3.40 23.50
| |||||||||||||
00:30 | 0.9SV Brazil Juniors SV Jong Aruba1.0 | 0 0 | |||||||||||
12.90 X3.90 22.00
| |||||||||||||
01:00 | 1.1Alajuelense Los Angeles FC2.2 | 0 3 | |||||||||||
15.00 X4.10 21.50
| |||||||||||||
03:00 | 2.6Cruz Azul Monterrey1.1 | 1 1 | |||||||||||
11.70 X4.00 24.33
| |||||||||||||
23:00 | 1.8Inter Miami CF Nashville SC2.1 | 1 3 | |||||||||||
11.67 X4.33 24.33
| |||||||||||||
08:00 | 0.7Tuloy FC Mendiola FC | 5 0 | |||||||||||
1 X 2
| |||||||||||||
11:00 | 2.4Manila Digger FC Davao Aguilas FC2.0 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
09:30 | 1.4Cerezo Osaka Fagiano Okayama1.1 | 2 1 | |||||||||||
11.83 X3.75 24.00
| |||||||||||||
10:00 | 0.8Avispa Fukuoka Shimizu S-Pulse1.0 | 1 1 | |||||||||||
12.55 X3.30 22.70
| |||||||||||||
10:00 | 1.1Nagoya Grampus Sanfrecce Hiroshima2.0 | 1 3 | |||||||||||
13.10 X3.50 22.20
| |||||||||||||
10:00 | 1.1Tokyo Verdy Kawasaki Frontale0.9 | 1 1 | |||||||||||
13.20 X3.40 22.20
| |||||||||||||
10:00 | 1.0Mito Hollyhock Yokohama F-Marinos1.5 | 1 1 | |||||||||||
12.60 X3.25 22.75
| |||||||||||||
10:00 | 1.4JEF Utd Chiba FC Tokyo1.4 | 0 1 | |||||||||||
14.20 X3.60 21.83
| |||||||||||||
10:00 | 1.6V-Varen Nagasaki Kyoto Sanga FC1.5 | 1 1 | |||||||||||
12.90 X3.40 22.38
| |||||||||||||
10:00 | 2.0Vissel Kobe Gamba Osaka1.7 | 1 0 | |||||||||||
11.75 X3.70 24.50
| |||||||||||||
10:30 | 1.7Urawa Red Diamonds Kashiwa Reysol1.5 | 2 1 | |||||||||||
12.75 X3.50 22.45
| |||||||||||||
10:30 | 2.4Machida Zelvia Kashima Antlers2.6 | 1 1 | |||||||||||
12.38 X3.30 23.00
| |||||||||||||
10:30 | 1.2Pohang Steelers FC Seoul1.1 | 2 2 | |||||||||||
12.80 X3.10 22.45
| |||||||||||||
10:30 | 1.4Jeju United Ulsan HD1.1 | 2 1 | |||||||||||
12.80 X3.20 22.35
| |||||||||||||
10:30 | 0.9Incheon Utd Daejeon Hana Citizen1.6 | 1 2 | |||||||||||
12.35 X3.10 22.88
| |||||||||||||
10:30 | 1.9Bucheon Gangwon FC0.8 | 1 1 | |||||||||||
13.40 X2.90 22.20
| |||||||||||||
10:30 | 1.6Jeonbuk Motors FC Anyang1.6 | 2 1 | |||||||||||
11.83 X3.30 24.20
| |||||||||||||
10:30 | 1.1Calangute Association Chapora Yuvak Sangh1.3 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
11:00 | 1.0Mashujaa FC TRA United1.6 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
11:00 | 0.7Tanzania Prisons Singida Black Stars2.0 | 0 2 | |||||||||||
1 X 2
| |||||||||||||
13:15 | 0.7Tanzania Prisons Mbeya City0.8 | 0 1 | |||||||||||
1 X 2
| |||||||||||||
13:15 | 1.6TRA United Young Africans2.3 | 0 1 | |||||||||||
1 X 2
| |||||||||||||
11:00 | 1.3Shamakhi FK Araz FK1.3 | 2 2 | |||||||||||
12.15 X3.20 22.90
| |||||||||||||
11:00 | 1.9Andranik Bentonit Ijevan0.9 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
11:30 | 1.2FC MIKA Syunik2.2 | 1 2 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.3Bandari FC Bidco United0.7 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.3KCB Mara Sugar FC1.2 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 2.0AFC Leopards Nairobi United0.9 | 1 1 | |||||||||||
11.83 X3.00 24.20
| |||||||||||||
13:00 | 0.7APS Bomet Nairobi United0.9 | 1 1 | |||||||||||
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.