Comprehensive goal statistics for today's matches based on each team's last 10 games. Analyze scoring patterns, defensive records, and total goal expectations to identify the highest-scoring matchups.
These goal statistics are based on each team's last 10 matches. The table is sorted by TOTAL GOALS (Home Goals Scored + Home Goals Conceded + Away Goals Scored + Away Goals Conceded), giving you a quick overview of the highest-scoring matchups today.
| # | Match | League | HGS | HGC | AGS | AGC | Total Goals |
|---|---|---|---|---|---|---|---|
| #1 | Maastricht | Netherlands Eerste Divisie | 21 | 20 | 11 | 23 | 75 Very High |
| #2 | Vejle | Denmark Superligaen | 17 | 21 | 14 | 21 | 73 Very High |
| #3 | PSV Reserves | Netherlands Eerste Divisie | 13 | 19 | 22 | 15 | 69 Very High |
| #4 | Vitesse | Netherlands Eerste Divisie | 16 | 22 | 16 | 13 | 67 Very High |
| #5 | Wi Wieczysta KrakowPolonia Bytom | Poland I Liga | 22 | 9 | 11 | 21 | 63 Very High |
| #6 | Bohemians Dublin | Republic of Ireland Premier Division | 13 | 17 | 20 | 11 | 61 Very High |
| #7 | Gremio | Brazil Serie A | 21 | 11 | 16 | 12 | 60 Very High |
| #8 | Cambuur Leeuwarden | Netherlands Eerste Divisie | 10 | 20 | 20 | 10 | 60 Very High |
| #9 | CD Platense | Honduras Liga Nacional | 15 | 14 | 14 | 16 | 59 High |
| #10 | UD Oliveirense | Portugal Segunda Liga | 18 | 11 | 11 | 19 | 59 High |
| #11 | Sligo Rovers | Republic of Ireland Premier Division | 20 | 13 | 13 | 12 | 58 High |
| #12 | Fortaleza CEIF | Colombia Primera A | 15 | 16 | 12 | 14 | 57 High |
| #13 | Shamrock Rovers | Republic of Ireland Premier Division | 14 | 12 | 18 | 13 | 57 High |
| #14 | Enosis Paralimni | Cyprus Division 1 | 11 | 14 | 3 | 29 | 57 High |
| #15 | Mazatlan FC | Mexico Liga MX | 14 | 9 | 13 | 20 | 56 High |
| #16 | Derby | England Championship | 13 | 11 | 18 | 13 | 55 High |
| #17 | Puskas Academy | Hungary NB I | 25 | 8 | 9 | 13 | 55 High |
| #18 | Troyes | France Ligue 2 | 14 | 12 | 15 | 14 | 55 High |
| #19 | Briton Ferry | Wales Premier League | 10 | 14 | 15 | 16 | 55 High |
| #20 | SK Artis Brno SK | Czechia 2. Liga | 13 | 9 | 12 | 19 | 53 High |
| #21 | Fiorentina | Italy Serie A | 4 | 19 | 13 | 17 | 53 High |
| #22 | Levante | Spain La Liga | 13 | 14 | 9 | 16 | 52 High |
| #23 | Petrolul Ploiesti | Romania Liga I | 17 | 12 | 11 | 12 | 52 High |
| #24 | Waterford FC | Republic of Ireland Premier Division | 7 | 17 | 11 | 17 | 52 High |
| #25 | Independiente Yumbo In | Colombia Primera B | 18 | 13 | 12.2 | 7.8 | 51 High |
| #26 | O'Higgins | Chile Liga de Primera | 13 | 13 | 13 | 11 | 50 High |
| #27 | AEK Larnaca | Cyprus Division 1 | 9 | 14 | 17 | 10 | 50 High |
| #28 | Wolverhampton | England Premier League | 12 | 14 | 9 | 14 | 49 Moderate |
| #29 | Portimonense | Portugal Segunda Liga | 15 | 9 | 9 | 16 | 49 Moderate |
| #30 | Derry City | Republic of Ireland Premier Division | 16 | 6 | 17 | 10 | 49 Moderate |
| #31 | Atlético Tucumán | Argentina Liga Profesional | 8 | 11 | 13 | 15 | 47 Moderate |
| #32 | FC Unirea 2004 Slobozia | Romania Liga I | 10 | 16 | 6 | 15 | 47 Moderate |
| #33 | Huachipato | Chile Liga de Primera | 10 | 10 | 11 | 16 | 47 Moderate |
| #34 | Las Palmas | Spain Segunda | 11 | 9 | 15 | 11 | 46 Moderate |
| #35 | Boca Juniors | Argentina Liga Profesional | 16 | 10 | 13 | 6 | 45 Moderate |
| #36 | Patriotas FC | Colombia Primera B | 15 | 10 | 7 | 11 | 43 Moderate |
| #37 | Korona Kielce | Poland Ekstraklasa | 10 | 11 | 12 | 10 | 43 Moderate |
| #38 | Real Cartagena | Colombia Primera B | 15 | 5 | 16 | 7 | 43 Moderate |
| #39 | Bogota FC | Colombia Primera B | 13 | 14 | 7 | 8 | 42 Moderate |
| #40 | Huracan | Argentina Liga Profesional | 10 | 10 | 13 | 8 | 41 Moderate |
| #41 | Estudiantes Rio Cuarto | Argentina Liga Profesional | 12 | 10 | 6 | 13 | 41 Moderate |
| #42 | Atletico Cali FC | Colombia Primera B | 8 | 10 | 5 | 15 | 38 Low |
| #43 | Defensa y Justicia | Argentina Liga Profesional | 7 | 6 | 7 | 8 | 28 Low |
Goal Statistics are calculated based on each team's performance over their last 10 matches, providing insights into scoring patterns and defensive capabilities.
Use these statistics to identify matches with the highest goal-scoring potential for Over/Under betting markets and correct score predictions.
Use these goal statistics to identify high-scoring matches and make informed betting decisions. Combine our analytics with daily predictions to maximize your success rate and find the best value opportunities.