Ulm vs Viktoria Köln: match statistics

Viktoria Köln holds a statistical edge: they sit 11th versus Ulm’s 18th and have recorded 14 wins this season compared to the hosts’ 9. In the last 5 matches the visitors scored 7 goals and won 3 games, averaging 1.8 points per match, while Ulm also scored 7 goals but managed only 2 wins and averaged 1.4 points per match. Defensively Ulm looks weaker — they concede 1.88 goals per home match, while Viktoria concedes 1.47 away; in the last 5 fixtures Ulm shipped 10 goals versus 8 for the visitors. Ulm do create slightly more chances (on average 11.59 shots and 4.29 on target at home, xG 1.46) and have a lower share of goalless matches (18% vs 35% for Viktoria), but the visitors have higher shot efficiency (13% vs 11%) and more clean sheets away (24% vs 18%). Considering the visitors’ more stable form (1.8 points per match vs 1.4) and Ulm’s weaker defense, I expect a Viktoria Köln victory.

I back BTTS - Yes: in the last 5 matches Ulm had BTTS in 80% of games and Viktoria Köln in 60%, yielding an average 70% short-term support for both teams to score. Season and league context also support this — league BTTS rate is 64%, while season values for Ulm and Viktoria are 50% and 47% respectively. The xG and attacking profiles align with this scenario: Ulm has xG 1.52 while Viktoria concedes xG against 1.56; Viktoria has xG 1.30 and Ulm concedes xG against 1.27; both sides generate on average 5.17 and 4.06 shots on target per match. Ulm’s defense is particularly vulnerable — 72 goals conceded in the season and an average 2.0 goals conceded in the last 5 matches, while Viktoria concedes 1.6 goals in the last 5 — together this increases the likelihood that both teams will find the net. Based on this I estimate BTTS at 70% (Yes) vs 30% (No), as the combination of L5 form, the league 64% BTTS and consistent xG and shots on target stats provides a strong signal for both teams to score.

Based on xG I expect 1.54 goals for Ulm (xG_for_home 1.52 vs xG_against_away 1.56) and 1.29 for Viktoria Köln (xG_for_away 1.30 vs xG_against_home 1.27), totaling ~2.83 goals. Season metrics confirm strong potential for Over 1.5: Ulm has 72% of matches over 1.5, Viktoria 82%, and a Poisson model with lambda=1.54/1.29 gives about a 78% chance of Over 1.5. For the 2.5 line both teams have seasonal overs of 50% (Ulm) and 59% (Viktoria), and the model estimate is ~54% for Over 2.5 — a moderate signal, but weaker than for 1.5. For 3.5 seasonal overs are only 33% and 29%, and the model gives ~32% for Over 3.5, so Under 3.5 (~68%) is the clear favorite.

I forecast Ulm to lead at the break and win the match (HT/FT 1/1). Ulm shows superior xG metrics: xG is 1.52 versus 1.30 for Viktoria Köln while conceding fewer xG (1.27 vs 1.56), indicating a qualitative advantage for the home side. Over the season Ulm averages 1.5 points per home game versus 1.18 for away teams and wins 44% of matches compared to 35% for Viktoria, so the hosts are the favorites to win. Although Viktoria led at the break in 41% of matches (vs 33% for Ulm) and has a higher average goals by half-time (0.76 vs 0.56), Ulm scores more after the break — 0.83 second-half goals vs 0.59 for the visitors — and registers more shots on target (5.17 vs 4.06), which supports scoring decisive goals after the break. Considering the higher xG efficiency and better points return for the hosts, I assign the highest probability to the 1/1 outcome (24%), with the remaining scenarios holding smaller shares.