| Time | Match | Score | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tip | |||||||||||||
12:00 | GetafeAthletic Bilbao ![]() | 1 1 | |||||||||||
13.00 X2.88 22.70
| |||||||||||||
14:15 | ValenciaCelta Vigo ![]() | 1 1 | |||||||||||
12.35 X3.30 23.10
| |||||||||||||
16:30 | OviedoSevilla ![]() | 1 1 | |||||||||||
12.75 X3.10 22.75
| |||||||||||||
19:00 | CD AlavesOsasuna ![]() | 1 1 | |||||||||||
12.50 X3.20 22.90
| |||||||||||||
13:30 | Union BerlinSt Pauli ![]() | 2 1 | |||||||||||
12.10 X3.25 23.80
| |||||||||||||
15:30 | Eintracht FrankfurtCologne ![]() | 2 1 | |||||||||||
12.00 X3.50 23.60
| |||||||||||||
13:00 | CremoneseBologna ![]() | 1 3 | |||||||||||
13.60 X3.40 22.05
| |||||||||||||
16:00 | PisaTorino ![]() | 1 1 | |||||||||||
13.20 X3.00 22.45
| |||||||||||||
18:45 | Inter MilanRoma ![]() | 2 1 | |||||||||||
11.67 X3.90 25.25
| |||||||||||||
13:00 | AngersLyon ![]() | 1 1 | |||||||||||
14.50 X3.60 21.80
| |||||||||||||
15:15 | Le HavreAuxerre ![]() | 1 0 | |||||||||||
12.60 X3.10 23.00
| |||||||||||||
15:15 | MetzNantes ![]() | 1 2 | |||||||||||
12.80 X3.30 22.55
| |||||||||||||
15:15 | LorientParis FC ![]() | 1 1 | |||||||||||
12.25 X3.30 23.30
| |||||||||||||
18:45 | MonacoMarseille ![]() | 1 2 | |||||||||||
12.15 X3.75 23.10
| |||||||||||||
10:15 | Go Ahead EaglesPEC Zwolle ![]() | 4 1 | |||||||||||
11.95 X3.90 23.50
| |||||||||||||
12:30 | FC VolendamFeyenoord ![]() | 1 2 | |||||||||||
16.00 X5.00 21.44
| |||||||||||||
12:30 | HeerenveenHeracles ![]() | 3 1 | |||||||||||
11.48 X5.00 25.50
| |||||||||||||
14:45 | NACSparta Rotterdam ![]() | 1 1 | |||||||||||
12.50 X3.40 22.80
| |||||||||||||
12:00 | EibarAD Ceuta FC ![]() | 3 1 | |||||||||||
11.70 X3.40 25.25
| |||||||||||||
14:15 | FC AndorraRacing Santander ![]() | 1 2 | |||||||||||
12.35 X3.50 22.88
| |||||||||||||
16:30 | Las PalmasHuesca ![]() | 2 0 | |||||||||||
11.50 X3.80 27.50
| |||||||||||||
16:30 | AlmeriaLeganes ![]() | 3 1 | |||||||||||
11.57 X4.00 25.50
| |||||||||||||
19:00 | Real ZaragozaMirandes ![]() | 2 1 | |||||||||||
11.85 X3.30 24.33
| |||||||||||||
15:15 | 1.9Frosinone Padova0.9 | 2 1 | |||||||||||
11.44 X4.50 26.50
| |||||||||||||
17:30 | 2.0Palermo Avellino1.1 | 3 0 | |||||||||||
11.50 X4.00 27.00
| |||||||||||||
11:30 | 0.9Eintracht Braunschweig Nurnberg1.4 | 1 1 | |||||||||||
12.50 X3.60 22.63
| |||||||||||||
11:30 | 0.5Holstein Kiel SC Preussen Munster0.6 | 1 1 | |||||||||||
11.85 X3.80 23.80
| |||||||||||||
11:30 | 1.4Greuther Furth Paderborn1.8 | 1 2 | |||||||||||
14.00 X3.75 21.85
| |||||||||||||
11:30 | 1.4Schalke Karlsruher SC1.2 | 3 1 | |||||||||||
11.50 X4.50 25.75
| |||||||||||||
11:30 | 2.3Hannover 96 Elversberg1.7 | 1 1 | |||||||||||
12.20 X3.50 23.10
| |||||||||||||
14:00 | 0.6Volos NFC OFI Crete1.5 | 1 1 | |||||||||||
12.30 X3.25 23.10
| |||||||||||||
14:00 | 0.8Levadiakos Aris Salonika0.9 | 2 1 | |||||||||||
12.38 X3.10 23.10
| |||||||||||||
16:00 | 1.5PAOK Salonika Panathinaikos2.1 | 2 0 | |||||||||||
11.67 X3.50 25.50
| |||||||||||||
18:00 | 1.6Olympiacos AEK Athens1.9 | 1 1 | |||||||||||
11.80 X3.40 24.75
| |||||||||||||
11:30 | 1.1Fatih Karagumruk Caykur Rizespor1.3 | 1 2 | |||||||||||
12.80 X3.50 22.38
| |||||||||||||
11:30 | 1.7Samsunspor Konyaspor1.7 | 1 1 | |||||||||||
12.30 X3.10 23.30
| |||||||||||||
14:00 | 0.6Antalyaspor Eyupspor0.8 | 2 1 | |||||||||||
12.15 X2.90 23.90
| |||||||||||||
17:00 | 2.0Fenerbahce Besiktas2.3 | 2 2 | |||||||||||
11.95 X3.75 23.50
| |||||||||||||
16:30 | 1.5Westerlo Charleroi0.5 | 1 1 | |||||||||||
12.40 X3.40 22.60
| |||||||||||||
00:00 | 1.3Vasco da Gama Botafogo1.4 | 2 2 | |||||||||||
12.05 X3.40 23.70
| |||||||||||||
19:00 | 1.1Chapecoense Vitoria1.4 | 2 2 | |||||||||||
12.50 X3.20 22.90
| |||||||||||||
20:30 | 1.4Atletico Mineiro Athletico Paranaense1.4 | 2 1 | |||||||||||
11.90 X3.30 24.50
| |||||||||||||
20:30 | 1.7Flamengo Santos1.5 | 2 1 | |||||||||||
11.36 X4.75 29.50
| |||||||||||||
22:30 | 1.1Corinthians Internacional1.5 | 1 1 | |||||||||||
12.10 X3.30 23.70
| |||||||||||||
22:30 | 2.2EC Bahia Palmeiras2.7 | 1 1 | |||||||||||
12.70 X3.20 22.55
| |||||||||||||
23:00 | 0.4Mirassol Bragantino0.9 | 2 1 | |||||||||||
12.25 X3.10 23.40
| |||||||||||||
23:30 | 1.4Gremio Clube Do Remo0.6 | 3 1 | |||||||||||
11.50 X4.10 26.50
| |||||||||||||
13:00 | 0.5Livingston Hearts1.7 | 1 2 | |||||||||||
17.00 X4.33 21.48
| |||||||||||||
15:30 | 1.0Dundee Celtic1.7 | 2 2 | |||||||||||
16.00 X4.50 21.50
| |||||||||||||
14:00 | 0.6Stromsgodset Stabaek1.3 | 0 0 | |||||||||||
11.95 X3.70 23.10
| |||||||||||||
16:00 | 1.0FC Copenhagen Silkeborg IF1.0 | 2 2 | |||||||||||
11.44 X4.75 26.00
| |||||||||||||
05:00 | 1.8Melbourne Victory Wellington Phoenix1.2 | 3 1 | |||||||||||
11.53 X4.33 25.25
| |||||||||||||
01:00 | 1.0Leon Atlas1.2 | 2 1 | |||||||||||
12.25 X3.50 23.10
| |||||||||||||
01:00 | 2.4Cruz Azul Pachuca1.9 | 1 1 | |||||||||||
11.65 X4.20 24.75
| |||||||||||||
03:00 | 0.8Santos Laguna Club America1.4 | 1 1 | |||||||||||
14.75 X4.00 21.70
| |||||||||||||
11:00 | 1.7Hradec Kralove Bohemians 19050.8 | 1 1 | |||||||||||
11.91 X3.20 23.70
| |||||||||||||
13:30 | 1.2Banik Ostrava Slavia Prague2.0 | 1 3 | |||||||||||
15.25 X3.80 21.55
| |||||||||||||
16:30 | 1.7Sparta Prague MFK Karvina0.7 | 4 2 | |||||||||||
11.33 X4.75 27.50
| |||||||||||||
12:00 | 0.5Giannina Makedonikos0.5 | 2 0 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.2Ilioupoli Hellas Syrou1.8 | 0 2 | |||||||||||
14.75 X3.50 21.73
| |||||||||||||
12:00 | 1.0Kavala PAOK Salonika B2.1 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.9Athens Kallithea Panargiakos0.2 | 1 0 | |||||||||||
11.17 X6.50 215.00
| |||||||||||||
12:00 | 1.7Egaleo Chania FC0.6 | 1 1 | |||||||||||
11.50 X3.80 26.50
| |||||||||||||
12:00 | 1.8Nestos Chrisoupolis Kampaniakos1.1 | 2 0 | |||||||||||
1 X 2
| |||||||||||||
12:30 | 1.7Hartberg FC Salzburg0.9 | 1 1 | |||||||||||
15.50 X3.80 21.62
| |||||||||||||
12:30 | 1.8LASK Linz FK Austria Vienna2.2 | 1 2 | |||||||||||
12.05 X3.40 23.50
| |||||||||||||
15:00 | 1.7Rapid Vienna SK Sturm Graz1.8 | 2 2 | |||||||||||
12.45 X3.25 22.88
| |||||||||||||
12:00 | 1.1ACS UTA Batrana Doamna Metaloglobus Bucuresti0.6 | 3 1 | |||||||||||
11.36 X4.10 27.50
| |||||||||||||
14:30 | 1.0Farul Constanta FC Unirea 2004 Slobozia0.7 | 3 1 | |||||||||||
11.80 X3.40 23.70
| |||||||||||||
17:30 | 1.5Rapid Bucuresti Universitatea Cluj2.7 | 1 2 | |||||||||||
12.05 X3.10 23.40
| |||||||||||||
00:00 | 1.8Rosario Central Atlético Tucumán1.1 | 2 1 | |||||||||||
11.73 X3.50 25.25
| |||||||||||||
18:30 | 1.1Gimnasia LP Huracan1.6 | 1 1 | |||||||||||
13.10 X2.90 22.60
| |||||||||||||
21:00 | 1.7River Plate Belgrano1.8 | 1 1 | |||||||||||
11.57 X3.60 26.50
| |||||||||||||
23:30 | 1.2Central Cordoba Newell's0.5 | 2 0 | |||||||||||
12.40 X2.90 23.40
| |||||||||||||
12:00 | 1.7Kalmar FF Vasteras SK1.3 | 1 2 | |||||||||||
12.10 X3.60 23.25
| |||||||||||||
12:00 | 1.3AIK Halmstad1.3 | 2 1 | |||||||||||
11.55 X4.20 25.50
| |||||||||||||
14:30 | 0.7Orgryte IS Malmo FF1.6 | 0 0 | |||||||||||
15.00 X4.00 21.60
| |||||||||||||
13:00 | 0.9GIF Sundsvall Nordic United FC2.6 | 0 0 | |||||||||||
12.20 X3.50 22.75
| |||||||||||||
13:00 | 1.8Norrby IF IK Brage1.8 | 2 1 | |||||||||||
12.60 X3.30 22.38
| |||||||||||||
12:30 | 1.0Diosgyori VTK Puskas Academy0.9 | 1 1 | |||||||||||
12.75 X3.25 22.25
| |||||||||||||
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.