Waldhof Mannheim vs Jahn Regensburg: match statistics

Both teams have identical season records of 14 wins, 7 draws and 15 losses, but there is a clear divergence between home stats and current form. Waldhof averages 1.78 goals per home match, has xG 1.72 and 5.67 shots on target, whereas Regensburg on the road scores 1.39 goals, has xG 1.61 and 4.5 shots on target, which gives the hosts an edge in quality of chances. In practice, however, Waldhof has not won any of their last 5 matches (0-3-2) and is averaging only 0.6 points in that span, conceding 12 goals (2.4 per match), while Regensburg are 3-1-1 with 2.0 points per match and 11 scored/8 conceded (2.2/1.6). Season-long both defenses concede about 1.67 goals per game, with xG against of 1.43 for the hosts versus 1.73 for the visitors — this indicates historically Waldhof allows fewer high-quality chances, but recent results contradict that. Considering the better home finishing efficiency (conversion 12% vs 10%) and Regensburg’s markedly superior points form (2.0 vs 0.6), I predict an away win with a probability distribution of 25%/35%/40% (home/draw/away).

I pick BTTS - Yes with a 72% probability vs 28% for No Goal because the data indicate mutual scoring. In the last 5 matches both teams registered BTTS at 80% (Waldhof 80% and Jahn 80%): Waldhof scored 7 goals (1.4 per match) and conceded 12 (2.4), while Jahn scored 11 (2.2) and conceded 8 (1.6). On the season Waldhof averages 1.61 scored and 1.44 conceded, and Jahn averages 1.39 scored and 1.67 conceded; both sides have similar offensive xG (1.50 vs 1.61) and notable xG against (1.44 vs 1.73), suggesting chances created and allowed. Regensburg has only 11% clean sheets vs 33% for Waldhof, and the league averages 3.17 goals and 64% BTTS, so the low clean sheet rate for the visitors and the strong recent BTTS form support a Goal/Goal outcome.

The model combines attacking xG of 1.50 (Waldhof) and 1.61 (Jahn) with conceded xG of 1.44/1.73, yielding expected goals of 1.62 for the home side and 1.52 for the visitors (total 3.14). Seasonally Over 1.5 occurs in 89% of Waldhof’s matches and 83% of Jahn’s, which averages to roughly an 86% probability for Over 1.5 and represents the strongest signal. Over 2.5 is also realistic (seasonally 67% vs 50%, our distributional estimate ~61%), whereas Over 3.5 drops to about 38% according to the expected goals distribution. Additionally, Waldhof records 4.94 shots on target and 13% conversion, Jahn 4.5 shots on target and 10% conversion, and in the last 5 matches both teams have scored 18 goals combined (Waldhof 7, Jahn 11) and conceded 20 (12 and 8), which increases the probability of goals at both ends.

The HT/FT forecast indicates a 2/1 scenario: Jahn Regensburg leads at the break, but Waldhof Mannheim stages a turnaround and wins. A strong signal for the visitors leading at the break stems from Jahn being ahead at half-time in 5 out of their last 5 matches (100.0%) and averaging 1.6 first-half goals (last5_scoredAVGHT_overall_away = 1.6). However, Waldhof mainly scores after the break — averaging 1.06 goals in the second half (scored_2hg_avg_home = 1.06) and collecting 1.44 points in second halves (ppg_2hg_home = 1.44); at home they have a 50% win rate and 1.67 points per game (winPercentage_home = 50.0, seasonPPG_home = 1.67). Additionally, the home side has a better shot conversion (13% vs 10% for the visitors; shot_conversion_rate_home = 13.0 vs shot_conversion_rate_away = 10.0) and many late goals: 7 goals in minutes 61–75 and 8 in 76–90, which increases the realistic chance of a turnaround. Therefore I assign the highest probability to 2/1 (28%), while 2/2 (24%) and 2/X (12%) remain realistic alternatives due to Jahn’s HT dominance and the visitors’ overall form.