| Time | Match | Score | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tip | |||||||||||||
16:00 | LuxembourgMalta ![]() | 0 1 | |||||||||||
11.65 X3.75 25.50
| |||||||||||||
16:00 | LatviaGibraltar ![]() | 1 0 | |||||||||||
11.20 X6.50 215.00
| |||||||||||||
18:45 | SwedenPoland ![]() | 1 1 | |||||||||||
12.00 X3.40 23.90
| |||||||||||||
18:45 | CzechiaDenmark ![]() | 1 1 | |||||||||||
13.80 X3.10 21.91
| |||||||||||||
18:45 | KosovoTürkiye ![]() | 1 3 | |||||||||||
13.80 X3.75 21.85
| |||||||||||||
18:45 | Bosnia-HerzegovinaItaly ![]() | 1 2 | |||||||||||
17.50 X3.90 21.50
| |||||||||||||
17:00 | MirandesAlbacete ![]() | 1 1 | |||||||||||
12.90 X3.25 22.40
| |||||||||||||
17:00 | Deportivo La CorunaCordoba ![]() | 2 2 | |||||||||||
12.05 X3.50 23.60
| |||||||||||||
18:30 | ValladolidCadiz ![]() | 1 1 | |||||||||||
11.73 X3.70 24.75
| |||||||||||||
17:00 | CA AldosiviArgentinos Jrs ![]() | 1 1 | |||||||||||
14.50 X2.90 21.95
| |||||||||||||
18:45 | SouthendYeovil ![]() | 2 1 | |||||||||||
11.33 X4.50 28.00
| |||||||||||||
18:45 | WokingAltrincham ![]() | 2 1 | |||||||||||
11.91 X3.40 23.50
| |||||||||||||
18:45 | WealdstoneHartlepool ![]() | 1 2 | |||||||||||
12.30 X3.40 22.75
| |||||||||||||
21:30 | EC JuventudeGremio Novorizontino ![]() | 1 1 | |||||||||||
12.10 X3.20 23.60
| |||||||||||||
22:00 | FortalezaCuiaba ![]() | 0 0 | |||||||||||
11.67 X3.50 25.75
| |||||||||||||
00:00 | 1.3Orsomarso Internacional FC de Palmira2.3 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
20:00 | 0.7Real San Andres Envigado FC1.7 | 0 2 | |||||||||||
1 X 2
| |||||||||||||
20:00 | 1.0Tigres FC Barranquilla FC1.4 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
22:45 | 0.7Atletico Cali FC Boca Juniors De Cali1.1 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
01:20 | 2.2Millonarios Fortaleza CEIF0.9 | 2 0 | |||||||||||
11.62 X3.75 25.75
| |||||||||||||
18:45 | 0.8Alfreton Town Chorley0.9 | 1 1 | |||||||||||
12.80 X3.10 22.25
| |||||||||||||
18:45 | 1.7Spennymoor Town Kidderminster1.8 | 1 2 | |||||||||||
13.40 X3.40 21.91
| |||||||||||||
18:45 | 1.3Hereford FC Macclesfield1.9 | 2 3 | |||||||||||
13.40 X3.40 21.85
| |||||||||||||
18:45 | 2.2AFC Fylde Marine1.6 | 3 0 | |||||||||||
11.17 X6.00 213.00
| |||||||||||||
21:30 | 1.32 de Mayo Nacional Asuncion1.5 | 0 1 | |||||||||||
13.20 X3.00 22.15
| |||||||||||||
23:30 | 0.5Sportivo San Lorenzo Sportivo Ameliano1.6 | 1 2 | |||||||||||
13.25 X3.00 22.10
| |||||||||||||
23:30 | 0.8Sportivo Luqueno Cerro Porteno1.9 | 0 2 | |||||||||||
13.90 X3.20 21.85
| |||||||||||||
00:00 | 1.3Amazonas FC Aguia de Maraba1.8 | 4 3 | |||||||||||
1 X 2
| |||||||||||||
23:00 | 2.0Guaporé RO Paysandu2.3 | 0 0 | |||||||||||
1 X 2
| |||||||||||||
00:00 | 1.3Central Espanol Deportivo Maldonado2.0 | 1 2 | |||||||||||
12.90 X3.00 22.25
| |||||||||||||
14:00 | 1.0Club Atletico Progreso Liverpool Montevideo1.3 | 0 2 | |||||||||||
1 X 2
| |||||||||||||
22:00 | 1.3Defensor Sporting Albion FC1.5 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
00:15 | 1.5Union Santa Fe Agropecuario1.4 | 1 2 | |||||||||||
11.57 X3.60 26.25
| |||||||||||||
01:00 | 2.0Inter San Carlos AD Grecia1.0 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
02:00 | 1.1FC Aserri AD Carmelita0.8 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
02:05 | 1.9FC Santiago Ciervos FC1.1 | 2 0 | |||||||||||
1 X 2
| |||||||||||||
06:00 | 1.4Cameroon China PR1.2 | 1 0 | |||||||||||
11.38 X4.50 27.50
| |||||||||||||
09:10 | 2.1Australia Curacao1.4 | 3 0 | |||||||||||
11.40 X4.50 26.25
| |||||||||||||
11:30 | 2.4Thailand Turkmenistan1.4 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.1Kazakhstan Comoros1.0 | 2 0 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.7Jordan Nigeria2.1 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
16:00 | 0.1San Marino Andorra0.2 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
16:00 | 1.1Equatorial Guinea Madagascar2.2 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
16:00 | 1.3Montenegro Slovenia1.3 | 1 1 | |||||||||||
1 X 2
| |||||||||||||
16:00 | 1.6Serbia Saudi Arabia1.4 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
16:00 | 2.5Norway Switzerland2.3 | 2 1 | |||||||||||
12.00 X3.40 23.30
| |||||||||||||
16:30 | 1.2Haiti Iceland1.1 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
17:00 | 1.4Hungary Greece1.6 | 1 1 | |||||||||||
12.40 X3.20 22.80
| |||||||||||||
17:30 | 1.8South Africa Panama1.5 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
18:00 | 0.6Peru Honduras1.6 | 2 0 | |||||||||||
1 X 2
| |||||||||||||
18:00 | 2.1Morocco Paraguay1.5 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
18:30 | 1.6Scotland Ivory Coast2.2 | 1 2 | |||||||||||
13.10 X3.30 22.15
| |||||||||||||
18:30 | 2.3Algeria Uruguay1.6 | 2 1 | |||||||||||
13.00 X3.25 22.25
| |||||||||||||
18:45 | 1.2Slovakia Romania1.6 | 2 1 | |||||||||||
12.05 X3.40 23.25
| |||||||||||||
18:45 | 1.6Rep of Ireland North Macedonia1.1 | 2 0 | |||||||||||
11.65 X3.60 24.20
| |||||||||||||
18:45 | 1.4Wales Northern Ireland1.2 | 1 0 | |||||||||||
11.73 X3.50 24.33
| |||||||||||||
18:45 | 2.5England Japan2.3 | 1 1 | |||||||||||
11.53 X4.00 25.75
| |||||||||||||
18:45 | 2.2Austria South Korea1.9 | 2 1 | |||||||||||
11.48 X4.00 25.50
| |||||||||||||
18:45 | 2.4Netherlands Ecuador1.4 | 1 0 | |||||||||||
11.60 X3.60 25.75
| |||||||||||||
19:00 | 2.5Senegal Gambia1.9 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
19:00 | 2.4Spain Egypt2.0 | 3 1 | |||||||||||
11.17 X7.00 212.00
| |||||||||||||
23:00 | 1.7USA Portugal2.1 | 1 1 | |||||||||||
14.20 X3.60 21.75
| |||||||||||||
23:15 | 2.5Argentina Zambia0.5 | 4 0 | |||||||||||
11.06 X12.00 234.00
| |||||||||||||
23:30 | 1.9Canada Tunisia1.6 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
07:00 | 2.0North Korea U23 Thailand U231.7 | 0 0 | |||||||||||
1 X 2
| |||||||||||||
11:35 | 1.3China U23 Vietnam U231.7 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
08:30 | 0.5Magic United U23 Moreton City Excelsior U232.0 | 1 6 | |||||||||||
1 X 2
| |||||||||||||
08:30 | 1.7South Melbourne Dandenong City1.5 | 1 1 | |||||||||||
11.53 X3.80 24.75
| |||||||||||||
09:00 | 0.2Pakistan Myanmar1.0 | 0 2 | |||||||||||
1 X 2
| |||||||||||||
10:30 | 0.4Maldives Timor Leste0.3 | 0 0 | |||||||||||
1 X 2
| |||||||||||||
10:30 | 0.6Chinese Taipei Sri Lanka1.1 | 1 2 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 0.9Nepal Laos0.5 | 0 0 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 1.4Singapore Bangladesh1.3 | 0 0 | |||||||||||
1 X 2
| |||||||||||||
12:00 | 2.7Vietnam Malaysia2.3 | 0 1 | |||||||||||
1 X 2
| |||||||||||||
12:30 | 0.4Bhutan Brunei1.0 | 0 1 | |||||||||||
1 X 2
| |||||||||||||
13:30 | 0.7India Hong Kong0.9 | 2 1 | |||||||||||
1 X 2
| |||||||||||||
14:00 | 2.0Tajikistan Philippines2.1 | 2 0 | |||||||||||
1 X 2
| |||||||||||||
14:00 | 2.3Lebanon Yemen1.6 | 1 0 | |||||||||||
1 X 2
| |||||||||||||
15:30 | 1.8Syria Afghanistan0.3 | 3 0 | |||||||||||
1 X 2
| |||||||||||||
10:30 | 0.8Gokulam Kerala FC Aizawl FC1.8 | 3 2 | |||||||||||
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.