| Time | Match | Score | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tip | |||||||||||||
13:00 | AD Ceuta FCCadiz ![]() | 2 1 | |||||||||||
12.25 X3.20 23.20
| |||||||||||||
15:15 | GranadaHuesca ![]() | 2 0 | |||||||||||
11.80 X3.30 24.75
| |||||||||||||
15:15 | ValladolidBurgos ![]() | 1 1 | |||||||||||
12.15 X3.10 23.50
| |||||||||||||
17:30 | MalagaLeganes ![]() | 3 2 | |||||||||||
12.00 X3.30 23.70
| |||||||||||||
20:00 | Sporting GijonDeportivo La Coruna ![]() | 1 1 | |||||||||||
12.35 X3.10 23.00
| |||||||||||||
20:00 | AlbaceteCD Castellon ![]() | 1 1 | |||||||||||
12.70 X3.50 22.50
| |||||||||||||
15:00 | Dungannon SwiftsColeraine ![]() | 2 1 | |||||||||||
14.50 X3.70 21.67
| |||||||||||||
15:00 | Carrick RangersCrusaders ![]() | 3 1 | |||||||||||
11.57 X3.90 25.00
| |||||||||||||
15:00 | Larne FCCliftonville ![]() | 1 1 | |||||||||||
11.33 X4.50 28.00
| |||||||||||||
15:00 | GlentoranLinfield ![]() | 1 1 | |||||||||||
12.25 X3.20 23.00
| |||||||||||||
13:00 | MortonArbroath ![]() | 1 1 | |||||||||||
13.00 X3.10 22.15
| |||||||||||||
13:00 | St JohnstoneQueen's Park ![]() | 3 1 | |||||||||||
11.27 X4.75 29.00
| |||||||||||||
15:00 | AirdrieoniansDunfermline ![]() | 1 2 | |||||||||||
13.00 X3.10 22.15
| |||||||||||||
12:30 | Harrogate TownNotts County ![]() | 0 2 | |||||||||||
13.90 X3.50 21.90
| |||||||||||||
15:00 | Crawley TownGillingham ![]() | 1 1 | |||||||||||
12.25 X3.30 23.00
| |||||||||||||
15:00 | BarrowBromley ![]() | 0 2 | |||||||||||
13.30 X3.30 22.15
| |||||||||||||
15:00 | ColchesterWalsall ![]() | 1 1 | |||||||||||
12.30 X3.00 23.40
| |||||||||||||
15:00 | Newport CountyShrewsbury ![]() | 1 1 | |||||||||||
12.30 X3.20 23.10
| |||||||||||||
15:00 | BarnetCambridge Utd ![]() | 1 1 | |||||||||||
12.63 X3.20 22.63
| |||||||||||||
15:00 | CreweOldham ![]() | 1 1 | |||||||||||
12.45 X3.25 22.88
| |||||||||||||
15:00 | Salford CityMilton Keynes Dons ![]() | 1 2 | |||||||||||
13.00 X3.20 22.35
| |||||||||||||
15:00 | Bristol RoversAccrington Stanley ![]() | 1 1 | |||||||||||
11.80 X3.60 24.33
| |||||||||||||
15:00 | ChesterfieldGrimsby ![]() | 1 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | CheltenhamTranmere ![]() | 2 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | SwindonFleetwood Town ![]() | 1 1 | |||||||||||
12.00 X3.50 23.40
| |||||||||||||
15:00 | RotherhamLuton ![]() | 1 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | NorthamptonBarnsley ![]() | 1 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | ExeterLeyton Orient ![]() | 1 2 | |||||||||||
12.35 X3.50 22.75
| |||||||||||||
15:00 | HuddersfieldCardiff ![]() | 2 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | DoncasterLincoln City ![]() | 1 3 | |||||||||||
1 X 2
| |||||||||||||
15:00 | BlackpoolBurton Albion ![]() | 2 1 | |||||||||||
12.45 X3.25 22.88
| |||||||||||||
15:00 | BradfordPlymouth ![]() | 1 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | StockportAFC Wimbledon ![]() | 2 1 | |||||||||||
11.62 X3.80 25.25
| |||||||||||||
15:00 | ReadingWigan ![]() | 3 1 | |||||||||||
12.20 X3.30 23.20
| |||||||||||||
15:00 | BoltonStevenage ![]() | 2 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | WycombePort Vale ![]() | 2 0 | |||||||||||
11.55 X4.00 25.50
| |||||||||||||
15:00 | PeterboroughMansfield ![]() | 2 1 | |||||||||||
1 X 2
| |||||||||||||
14:00 | East FifeStenhousemuir ![]() | 0 2 | |||||||||||
14.33 X3.40 21.70
| |||||||||||||
15:00 | HamiltonKelty Hearts ![]() | 2 1 | |||||||||||
11.75 X3.50 23.90
| |||||||||||||
15:00 | MontroseCove Rangers ![]() | 1 3 | |||||||||||
12.40 X3.40 22.50
| |||||||||||||
15:00 | AlloaPeterhead ![]() | 2 1 | |||||||||||
11.85 X3.40 23.50
| |||||||||||||
17:45 | 2.0Willem II De Graafschap1.5 | 1 1 | |||||||||||
12.20 X4.00 22.75
| |||||||||||||
20:00 | 1.3FC Eindhoven FC Emmen0.9 | 2 1 | |||||||||||
12.10 X3.60 23.10
| |||||||||||||
12:30 | 1.9Haverfordwest County Briton Ferry2.1 | 2 1 | |||||||||||
11.83 X3.40 23.70
| |||||||||||||
14:30 | 0.8Cardiff MU Bala Town0.9 | 1 1 | |||||||||||
11.80 X3.10 24.10
| |||||||||||||
14:30 | 0.7Penybont Colwyn Bay1.3 | 0 1 | |||||||||||
12.50 X3.25 22.40
| |||||||||||||
14:30 | 1.9Flint Town Utd Llanelli Town0.2 | 2 1 | |||||||||||
11.20 X5.75 211.00
| |||||||||||||
15:00 | 0.6Ballinamallard Utd Ards FC1.8 | 1 2 | |||||||||||
1 X 2
| |||||||||||||
15:00 | 0.6Warrenpoint Town Armagh City0.2 | 3 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | 1.4Loughgall Limavady United2.0 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | 0.7Dundela Institute1.8 | 1 2 | |||||||||||
1 X 2
| |||||||||||||
15:00 | 1.6HW Welders Queens University1.5 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | 0.2Brackley Tamworth1.3 | 1 1 | |||||||||||
12.63 X3.50 22.35
| |||||||||||||
15:00 | 0.5Truro City Boreham Wood1.8 | 1 2 | |||||||||||
14.50 X3.90 21.62
| |||||||||||||
15:00 | 0.7Braintree Town Carlisle2.2 | 1 2 | |||||||||||
15.00 X4.20 21.53
| |||||||||||||
15:00 | 1.0Eastleigh Forest Green1.0 | 1 1 | |||||||||||
14.50 X3.70 21.65
| |||||||||||||
15:00 | 0.4Solihull Moors Altrincham1.7 | 3 1 | |||||||||||
11.90 X3.50 23.50
| |||||||||||||
15:00 | 1.8Gateshead Yeovil1.3 | 1 1 | |||||||||||
12.10 X3.50 23.00
| |||||||||||||
15:00 | 1.6Hartlepool Southend1.6 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
15:00 | 1.5Halifax Scunthorpe1.5 | 1 2 | |||||||||||
12.35 X3.50 22.63
| |||||||||||||
15:00 | 1.7Sutton Utd Rochdale2.1 | 1 2 | |||||||||||
14.10 X3.60 21.75
| |||||||||||||
15:00 | 1.3Wealdstone Boston Utd1.8 | 2 2 | |||||||||||
1 X 2
| |||||||||||||
15:00 | 1.2Morecambe Aldershot1.0 | 1 2 | |||||||||||
12.30 X3.80 22.55
| |||||||||||||
15:00 | 2.4York Woking1.5 | 3 1 | |||||||||||
11.30 X4.75 28.00
| |||||||||||||
14:00 | 1.2Dumbarton Forfar1.2 | 1 1 | |||||||||||
12.25 X3.25 22.80
| |||||||||||||
15:00 | 0.9Stirling FC Edinburgh0.9 | 1 1 | |||||||||||
12.10 X3.40 22.88
| |||||||||||||
15:00 | 1.1Annan Athletic Stranraer1.4 | 2 2 | |||||||||||
12.00 X3.40 23.10
| |||||||||||||
15:00 | 1.7Elgin Clyde1.3 | 1 1 | |||||||||||
12.45 X3.30 22.40
| |||||||||||||
15:00 | 1.5Spartans East Kilbride2.4 | 1 1 | |||||||||||
12.35 X3.50 22.50
| |||||||||||||
01:00 | 1.2Oaxaca Universidad Guadalajara0.7 | 2 1 | |||||||||||
12.05 X3.60 23.20
| |||||||||||||
01:00 | 0.8Venados FC Atlante1.6 | 1 3 | |||||||||||
14.20 X4.00 21.73
| |||||||||||||
03:00 | 1.9Club Atletico La Paz Jaiba Brava1.3 | 1 1 | |||||||||||
12.40 X3.75 22.60
| |||||||||||||
01:10 | 1.4Atletico Bucaramanga Independiente Santa Fe1.3 | 1 0 | |||||||||||
11.95 X3.30 24.20
| |||||||||||||
21:00 | 0.7Cucuta Deportivo Boyaca Chico0.8 | 2 1 | |||||||||||
11.62 X3.50 25.75
| |||||||||||||
23:10 | 1.7Deportes Tolima Jaguares de Cordoba0.7 | 2 0 | |||||||||||
11.38 X4.33 29.50
| |||||||||||||
09:30 | 0.8Slovan Bratislava B FK Tatran Liptovsky Mikulas1.5 | 2 2 | |||||||||||
13.00 X3.80 22.00
| |||||||||||||
14:00 | 0.6MSK Povazska Bystrica Slavia TU Kosice1.3 | 1 2 | |||||||||||
11.85 X4.10 23.20
| |||||||||||||
14:00 | 0.5MFK Stara Lubovna FC Petrzalka1.1 | 1 1 | |||||||||||
12.90 X3.50 22.10
| |||||||||||||
14:00 | 0.8STK Samorin OFK Banik Lehota1.0 | 1 1 | |||||||||||
11.80 X3.75 23.75
| |||||||||||||
14:00 | 1.7MSK Zilina B Inter Bratislava1.1 | 1 1 | |||||||||||
12.40 X3.50 22.50
| |||||||||||||
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.