# St. Pauli vs VfL Wolfsburg > Bundesliga · Kickoff Sat 16 May 2026, 13:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/858) **Status:** Finished **Final score:** St. Pauli 1–3 VfL Wolfsburg ## Model verdict - **St. Pauli win:** 34% - **Draw:** 42% - **VfL Wolfsburg win:** 24% - **Source:** model ## Pre-match deep dive ### A tight, low-scoring stalemate looks likeliest for Saturday ## The stage Bundesliga business lands on Saturday at 13:30 UTC, a lunch kickoff that will decide one more round of league positioning late in the calendar[^fact-1]. The model gives the home side the smallest share of outright chances among the three outcomes, with a 34% probability for a home win, 42% for a draw and 24% for the away side — the draw is the model’s single highest-probability result, and it registers a mid-level confidence with an 8 percentage-point gap to the runner-up forecast[^fact-2]. ## Form & momentum Recent runs for both teams read poorly on paper. The home team’s last 10 matches are LLLDL with a return of 1-3-6 (W-D-L), producing 0.60 points per game, 0.60 goals scored and 1.70 conceded per match — numbers that underline chronic offensive bluntness and a leaky defense[^fact-4]. The visitors show a similar pattern: LDDWL in their last 10, also 1-3-6 (W-D-L), 0.60 points per game, 0.90 goals scored and 1.90 conceded per match, which suggests equally limited attacking output and marginally worse defensive results[^fact-5]. The Elo comparison, with home advantage applied, still favours the hosts by 74 points — the technical rating edge sits with the home side despite both teams’ poor forms, which helps explain why the model gives a higher single-game probability to a draw than to an away win[^fact-3][^fact-2]. ## Personnel On the home side, centre-back Hauke Wahl has been the in-form name to track: zero goals, one assist in his last five appearances and an average rating of 6.63 across those games[^fact-9]. His numbers read like a defensive workhorse in a side struggling to create. The visitors’ standout contributor in recent matches is Christian Eriksen, who has no goals but two assists and an average rating of 7.34 in his last five, a clear creative outlet in a team averaging fewer than one goal per match recently[^fact-10][^fact-5]. Availability lines matter: Mathias Pereira Lage is absent for the hosts through injury after contributing 581 minutes in the recent run, a notable loss for attacking continuity[^fact-11]. For the visitors, Konstantinos Koulierakis is also out injured, having logged 810 minutes in the same recent window, a substantive chunk of minutes for a player whose absence will force adjustments[^fact-12]. ## Where the model sees value Three markets were analysed against the model[^fact-13], and each highlights the same story: anticipate a low-scoring, tightly contested match where a deadlock is more likely than market prices imply. - Under 2.5 goals: the model assigns 62% probability versus a market price at Betfair Exchange of 2.30, an edge of 19.0 percentage points, flagged with high confidence[^fact-6]. This aligns with both teams’ low goals-per-game figures and the model’s draw-leaning outlook[^fact-4][^fact-5][^fact-2]. - Draw in Match Winner: the model’s 42% draw probability contrasts with a market price of 3.80 on Betfair Exchange, producing a 15.9 percentage-point edge, also high confidence[^fact-7][^fact-2]. Given the model’s top probability corridor and both sides’ recent inability to convert at scale, the draw shows as the clearest single-outcome value. - Both Teams To Score — No: the model sets a 54% chance for “No” versus a market price of 2.48 at Betfair Exchange, an edge of 14.1 percentage points with high confidence[^fact-8]. The two sides average 0.60 and 0.90 goals per match respectively in their recent runs, which supports a scenario where one side, or neither, breaks through[^fact-4][^fact-5]. All three edges arrive with the model framing a conservative, low-goal contest despite the home-side Elo premium[^fact-6][^fact-7][^fact-8][^fact-3]. ## Verdict The model leans to a score-poor stalemate: the single most likely outcome is a draw (42%), reinforced by a strong projected probability for under 2.5 goals (62%) and a majority chance that both teams will not score (54%) — a convergence that makes a tight draw the clearest market inefficiency in this fixture[^fact-2][^fact-6][^fact-8]. ### Cited facts [^fact-1]: **Kickoff** — Sat 16 May 2026, 13:30 UTC — Bundesliga [^fact-2]: **Model verdict** — Home 34% / Draw 42% / Away 24% (source: model; confidence mid, 8 pp gap to runner-up). [^fact-3]: **Elo edge** — PAU vs WOB — Elo differential +74 points (with home advantage applied). [^fact-4]: **PAU recent form** — LLLDL last 10: 1-3-6 (W-D-L), 0.60 PPG, 0.60 goals scored / 1.70 conceded per match. [^fact-5]: **WOB recent form** — LDDWL last 10: 1-3-6 (W-D-L), 0.60 PPG, 0.90 goals scored / 1.90 conceded per match. [^fact-6]: **Value pick #1** — Under in Goals O/U 2.5 — model 62% vs market price 2.30 at Betfair Exchange, edge 19.0 pp (high confidence). [^fact-7]: **Value pick #2** — Draw in Match Winner — model 42% vs market price 3.80 at Betfair Exchange, edge 15.9 pp (high confidence). [^fact-8]: **Value pick #3** — No in Both Teams to Score — model 54% vs market price 2.48 at Betfair Exchange, edge 14.1 pp (high confidence). [^fact-9]: **PAU in-form player** — Hauke Wahl — 0 goals, 1 assists in last 5 appearances, avg rating 6.63. [^fact-10]: **WOB in-form player** — Christian Eriksen — 0 goals, 2 assists in last 5 appearances, avg rating 7.34. [^fact-11]: **PAU key absence** — Mathias Pereira Lage out (injury), 581 minutes in recent run. [^fact-12]: **WOB key absence** — Konstantinos Koulierakis out (injury), 810 minutes in recent run. [^fact-13]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .