# TSG Hoffenheim vs Werder Bremen > Bundesliga · Kickoff Sat 9 May 2026, 13:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/684) **Status:** Finished **Final score:** TSG Hoffenheim 1–0 Werder Bremen ## Model verdict - **TSG Hoffenheim win:** 79% - **Draw:** 12% - **Werder Bremen win:** 9% - **Source:** model ## Pre-match deep dive ### Home side overwhelming favourites as model projects clear edge ## The stage This Bundesliga fixture kicks off on Sat 9 May 2026 at 13:30 UTC, a fixture that reads as a mid-May opportunity for the home side to press whatever objectives remain on the table[^fact-1]. The timetable and competition are set; attention falls to how both teams line up on the day. ## Form & momentum Recent results paint a mixed picture. TSG Hoffenheim arrive with a DWWDL sequence in their last 10 matches, translating to 1.30 points per game and an attacking output of 1.70 goals scored while conceding 2.00 per match[^fact-4]. Werder Bremen’s last 10 reads LDWLL, also averaging 1.30 points per game with 1.50 goals scored and 1.50 conceded per match[^fact-5]. On raw recent form metrics the sides are level on points per game, but their defensive profiles differ: Hoffenheim concedes more on average than Bremen[^fact-4][^fact-5]. The statistical hierarchy, however, strongly favours the home team. The model assigns a 79% probability to the home win, with a draw at 12% and an away win at 9% — a dominant projection and a large gap to the runner-up outcome[^fact-2]. That assessment aligns with a substantial Elo advantage: with home advantage applied Hoffenheim sit +251 Elo points clear of Bremen[^fact-3]. That margin usually signals a quality gap substantial enough to shape match tempo and expected control[^fact-3]. ## Personnel Two players stand out on recent form. Bazoumana Touré has two goals and two assists across his last five appearances and carries an average match rating of 7.29 in that period[^fact-7]. On the Bremen side, Romano Schmid has two goals and one assist in his last five outings with an average rating of 7.49[^fact-8]. Those are the most salient attacking form indicators available for each team and will matter in any low-margin moments[^fact-7][^fact-8]. Key absences reshape selection choices. Hoffenheim are without Ozan Kabak due to injury; he has logged 900 minutes in the recent run, meaning his absence removes a consistent chunk of playing time from Hoffenheim’s defensive setup[^fact-9]. Bremen will be missing Leonardo Bittencourt through injury; he has contributed 416 minutes in the recent sequence, a smaller but non-trivial loss in available attacking minutes[^fact-10]. Those minutes figures quantify how embedded each player has been in recent match rhythm[^fact-9][^fact-10]. ## Where the model sees value The clearest market discrepancy sits on the home Match Winner. The model prices the home win at 80% while the Betfair Exchange market sits at 1.51, yielding a model-market edge of 13.6 percentage points and flagged as high confidence in the model’s output[^fact-6]. That single-market comparison is one of three discrete markets analysed against the model in the briefing set[^fact-11][^fact-6]. Beyond the headline home win edge, the Elo differential of +251 points with home advantage applied corroborates a scenario where the home side should control phases and register superior expected outcomes[^fact-3]. The model’s 79% home probability further tightens that narrative and explains why the model’s confidence gap to the runner-up exceeded 67 percentage points[^fact-2]. Those three quantified signals — model probability, Elo gap, and market edge on the home win — form the analytical core of the value argument[^fact-2][^fact-3][^fact-6]. ## Verdict The model leans decisively to the home side: a 79% probability for a home win with a supporting +251 Elo advantage and a single, strong market edge on the home Match Winner (model 80% vs market 1.51) are the dominant signals on the day[^fact-2][^fact-3][^fact-6]. Personnel notes matter — Touré and Schmid are the in-form attacking references and the absences of Kabak and Bittencourt remove established minutes from each side — but the combined projections and market analysis make the home outcome the clear lean[^fact-7][^fact-8][^fact-9][^fact-10][^fact-11]. ### Cited facts [^fact-1]: **Kickoff** — Sat 9 May 2026, 13:30 UTC — Bundesliga [^fact-2]: **Model verdict** — Home 79% / Draw 12% / Away 9% (source: model; confidence high, 67 pp gap to runner-up). [^fact-3]: **Elo edge** — TSG vs SVW — Elo differential +251 points (with home advantage applied). [^fact-4]: **TSG recent form** — DWWDL last 10: 3-4-3 (W-D-L), 1.30 PPG, 1.70 goals scored / 2.00 conceded per match. [^fact-5]: **SVW recent form** — LDWLL last 10: 4-1-5 (W-D-L), 1.30 PPG, 1.50 goals scored / 1.50 conceded per match. [^fact-6]: **Value pick #1** — Home in Match Winner — model 80% vs market price 1.51 at Betfair Exchange, edge 13.6 pp (high confidence). [^fact-7]: **TSG in-form player** — Bazoumana Touré — 2 goals, 2 assists in last 5 appearances, avg rating 7.29. [^fact-8]: **SVW in-form player** — Romano Schmid — 2 goals, 1 assists in last 5 appearances, avg rating 7.49. [^fact-9]: **TSG key absence** — Ozan Kabak out (injury), 900 minutes in recent run. [^fact-10]: **SVW key absence** — Leonardo Bittencourt out (injury), 416 minutes in recent run. [^fact-11]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .