Data-Driven Bundesliga Match Insights & Betting Analysis
Three of HSV’s last 10 matches featured reds (2 for HSV), and their games average 5 cards with over 4.5 cards landing in 7 of 10; Frankfurt have also seen a red in 1 of their last 10. The comparative red-card profile flags elevated disciplinary risk, so aggressive cards markets are supported by recent data.
Home Win: 46.0%Union have shipped 21 in 10 (2.1 per game) and Köln 19 in 10, yet the model makes Under 2.5 goals 57.7% despite both teams’ recent high concessions. With Under 2.5 priced at 1.98 (implied 50.5%), that’s a +14.2% value edge against the narrative of leaky defences.
Eintracht have let in only 12 in their last 10 and kept 4 clean sheets in their last 10 home games, while HSV have shipped 19 in 10 and 8 in their last 3. The market makes Frankfurt 1.67 (59.9% implied) but the model is only 47.3%, suggesting the home win is overpriced despite the defensive contrast.
Hoffenheim ship 2.2 goals per game (22 in 10) while Stuttgart score 2.1 per game (21 in 10) with both sides netting in 8/10. Our model makes Stuttgart 39% for the win (2.63, +2.7% value), so the away side’s firepower is slightly underpriced.
Werder have outshot opponents in 8 of 10 and out-cornered them in 7 of 10, but Augsburg are 4W-3D-3 and have scored in 9 of 10, including 5 straight. The model gives Augsburg a 35.1% win chance vs 26% implied at 3.85, making Away Win a +35.1% value angle.
Leverkusen are only 3W-4D-3L in their last 10 and have shipped 18 goals, while Leipzig arrive 7W-2D-1L with 22 scored (2.2 per game) and 5 straight wins. The Away Win at 3.00 carries +7.4% value (model 35.8% vs 33.3% implied).
Mainz have scored 14 goals in their last 10 games compared to just 6 for St. Pauli, who’ve failed to score in 5 of those and lost to nil in 4. With Mainz 5W-2D-3L over that stretch and Away Win at 2.6 showing +2.5% value (model 39.4% vs 38.5% implied), market slightly underrates the attacking mismatch.
Gladbach are only 2W-5D-3L in their last 10 and winless in 3, while Dortmund’s 5W-1D-4L run is strong but patchy, with both conceding 15 in that span. The model still gives Gladbach a 33.1% win chance vs 26.7% implied at 3.75, making Home Win a +24.1% value swing.
BTTS (Both Teams To Score) probability indicates the likelihood that both teams will score at least one goal during the match in Bundesliga, based on offensive and defensive statistics. Explore more BTTS statistics and trends across different leagues.
Value edge represents the percentage difference between our AI's calculated probability and the bookmaker's implied odds. A positive value suggests the bet may offer value for Bundesliga matches. Find more opportunities on our value bets page.
Our AI model has been tested on thousands of historical Bundesliga matches and achieves accuracy rates above industry standards. You can track our performance with our bet tracking tool. However, football is inherently unpredictable and no prediction is guaranteed.
The Bundesliga has unique characteristics in terms of playing style, team tactics, and match dynamics. Our AI model is specifically trained on Bundesliga data to provide the most accurate predictions.
The Bundesliga presents unique betting opportunities with our AI analysis. Our model considers league-specific factors including historical scoring trends, home advantage statistics, and tactical patterns common in Bundesliga matches. Whether you're looking for match result predictions, goal totals, or both teams to score tips, our AI provides data-driven insights tailored to Bundesliga fixtures.
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OddAlerts is a football analytics platform providing AI-powered predictions since 2020. Our prediction model is developed by sports data scientists and continuously refined using machine learning techniques. We analyze over 100,000 matches annually across 2,500+ leagues to provide the most accurate and valuable insights. Discover trends, explore custom filters, or join thousands using our alert system.
