# Werder Bremen vs Borussia Dortmund > Bundesliga · Kickoff Sat 16 May 2026, 13:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/860) **Status:** Scheduled ## Model verdict - **Werder Bremen win:** 8% - **Draw:** 86% - **Borussia Dortmund win:** 7% - **Source:** model ## Top published picks | Market | Selection | Best odds | Bookmaker | Model % | Edge | | --- | --- | ---: | --- | ---: | ---: | | totals | Under | 3.22 | Betfair Exchange | 54% | +23.3 pp | | btts | No | 3.20 | Betfair Exchange | 47% | +16.0 pp | ## Pre-match deep dive ### Model seismic: draw prices dominate despite Dortmund superiority ## The stage Kickoff is set for Sat 16 May 2026, 13:30 UTC in a Bundesliga fixture that lands late in the season calendar and carries typical league implications for both clubs. [^fact-1] ## Form & momentum Recent vectors point to contrasting rhythms. Werder Bremen have produced LLDWL across their last 10, recorded as 4 wins, 1 draw and 5 losses, delivering 1.30 points per game while averaging 1.40 goals scored and 1.40 conceded per match. [^fact-4] Borussia Dortmund’s ten-game snapshot reads WLWLL — logged as 6 wins, 0 draws and 4 losses — with 1.80 points per game, 1.90 goals scored and 1.20 conceded on average. [^fact-5] Those short-run records feed into a more structural gap captured by Elo: with home advantage applied, Werder sit 177 Elo points behind Dortmund. [^fact-3] Against that backdrop the model still delivers an emphatic market-upending probability: Home 8% / Draw 86% / Away 7%, with the model’s confidence described as high and a 78 percentage-point gap to the runner-up. [^fact-2] Put simply: form and Elo tilt towards Dortmund, but the probabilistic engine is overwhelmingly signalling deadlocked outcomes — a draw market that dominates the model’s posterior. [^fact-2][^fact-3][^fact-5] ## Personnel Werder’s most prominent short-term contributor is Romano Schmid, who has 2 goals and 1 assist in his last five appearances and carries an average rating of 7.44 over that span. [^fact-8] On Dortmund’s side, Maximilian Beier has 1 goal and 2 assists in his last five outings, with an average rating of 7.13. [^fact-9] Missing pieces matter for set-up and balance. Werder will be without Yukinari Sugawara due to suspension; he logged 678 minutes in the recent run before missing this match. [^fact-10] Dortmund are without Ramy Bensebaini through injury; he accumulated 489 minutes in the recent run prior to his absence. [^fact-11] Those absences are the clearest personnel differentials available in the supplied facts and feed both defensive shape and substitution planning. [^fact-10][^fact-11] ## Where the model sees value The model flags two clear market edges against current Betfair Exchange pricing across the three markets analysed. [^fact-12] 1) Under 2.5 goals: the model assigns a 54% probability to under 2.5 goals while the market price on Betfair Exchange sits at 3.22, producing an edge of 23.3 percentage points and tagged with high confidence. [^fact-6][^fact-12] 2) Both Teams to Score — No: the model gives a 47% probability to both teams not scoring while the market price on Betfair Exchange is 3.20, yielding a 16.0 percentage-point edge and likewise marked as high confidence. [^fact-7][^fact-12] Both edges point in the same defensive direction: the probabilistic engine prefers a lower-scoring affair with at least one clean sheet. The heavy tilt of the model’s match probability toward the draw further aligns with a stationary scoreline scenario rather than open, high-scoring play. [^fact-2][^fact-6][^fact-7] ## Verdict The model’s lean is staunchly towards stalemate: a draw probability of 86% sits atop a broader signal that expects a low-scoring game and a reasonable chance that one side keeps a clean sheet. That view arrives despite Dortmund’s superior form and Elo edge; personnel absences and short-run dynamics push the probabilistic mass into draws and under/BTTS-No outcomes. [^fact-2][^fact-3][^fact-4][^fact-5][^fact-6][^fact-7] ### Cited facts [^fact-1]: **Kickoff** — Sat 16 May 2026, 13:30 UTC — Bundesliga [^fact-2]: **Model verdict** — Home 8% / Draw 86% / Away 7% (source: model; confidence high, 78 pp gap to runner-up). [^fact-3]: **Elo edge** — SVW vs BVB — Elo differential -177 points (with home advantage applied). [^fact-4]: **SVW recent form** — LLDWL last 10: 4-1-5 (W-D-L), 1.30 PPG, 1.40 goals scored / 1.40 conceded per match. [^fact-5]: **BVB recent form** — WLWLL last 10: 6-0-4 (W-D-L), 1.80 PPG, 1.90 goals scored / 1.20 conceded per match. [^fact-6]: **Value pick #1** — Under in Goals O/U 2.5 — model 54% vs market price 3.22 at Betfair Exchange, edge 23.3 pp (high confidence). [^fact-7]: **Value pick #2** — No in Both Teams to Score — model 47% vs market price 3.20 at Betfair Exchange, edge 16.0 pp (high confidence). [^fact-8]: **SVW in-form player** — Romano Schmid — 2 goals, 1 assists in last 5 appearances, avg rating 7.44. [^fact-9]: **BVB in-form player** — Maximilian Beier — 1 goals, 2 assists in last 5 appearances, avg rating 7.13. [^fact-10]: **SVW key absence** — Yukinari Sugawara out (suspension), 678 minutes in recent run. [^fact-11]: **BVB key absence** — Ramy Bensebaini out (injury), 489 minutes in recent run. [^fact-12]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .