Tip Werder Bremen vs 1. FC Heidenheim

Werder Bremen and 1. FC Heidenheim face each other in Bundesliga (Germany). On this page we bring together recent form, head‑to‑head record, league standings and key absences, finishing with our EV+ statistical model’s pick for the 1X2 and goals markets.

Recent form and league table

Looking at recent form, Werder Bremen show 0 win(s), 1 draw(s) and 4 defeat(s) in the last five league games, scoring 2 and conceding 9 goals. Meanwhile, 1. FC Heidenheim record 0 win(s), 1 draw(s) and 4 defeat(s) over the same span, with 5 goals scored and 12 conceded.

No standings available for this league/season.

Head-to-head (H2H)

In the most recent head‑to‑head meetings between Werder Bremen and 1. FC Heidenheim, the teams have faced each other 12 time(s), with Werder Bremen winning 5 match(es), 1. FC Heidenheim winning 2 and 5 draw(s), for an average of 3.5 goal(s) per game. At least three goals were scored in 10 of those games, which points towards a clear trend for open matches in terms of goals. Both teams scored in 9 of the 12 games analysed, reinforcing the idea of a match‑up where both attacks usually create danger. In the latest meeting, the score was Werder Bremen 0-0 1. FC Heidenheim, played on 28/02/2026 in the Bundesliga, an extra data point to consider when framing the context of this new clash.

Conclusion – Werder Bremen vs 1. FC Heidenheim

Given recent form, key absences and the usually balanced head‑to‑head record between Werder Bremen and 1. FC Heidenheim, our EV+ statistical model finds positive expected value in the 1X2 market, highlighting the scenario above as the main betting angle. As an alternative or complement, the goals market suggested by the model offers an extra option for more conservative profiles or for diversifying exposure to this match.

EV reading guideline: values up to around 8 points are not particularly strong; above that level we are already talking about meaningful positive expected value. When EV moves beyond 15 points, it is recommended to further investigate contextual factors that might be inflating the model, such as teams already relegated or with nothing to play for, internal crises, heavy injury lists in key positions, recent coaching changes, schedule congestion, extreme weather or clear differences in competitive motivation.