# RB Leipzig vs St. Pauli > Bundesliga · Kickoff Sat 9 May 2026, 13:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/683) **Status:** Finished **Final score:** RB Leipzig 2–1 St. Pauli ## Model verdict - **RB Leipzig win:** 63% - **Draw:** 31% - **St. Pauli win:** 6% - **Source:** model ## Pre-match deep dive ### Clear home edge as Leipzig look to assert control at kickoff ## The stage Kickoff is set for Sat 9 May 2026, 13:30 UTC in a Bundesliga fixture that pits a markedly stronger side against a visitor struggling for form[^fact-1]. The match has the feel of a fixture where the home side carries both expectation and statistical authority heading into the weekend[^fact-1][^fact-3]. ## Form & momentum Recent sequences paint sharply contrasting pictures. RB Leipzig arrive in good rhythm: in their last 10 they are 7-1-2 (W-D-L), picking up 2.20 points per game while scoring 2.10 and conceding 1.20 on average per match[^fact-4]. St. Pauli’s run is the inverse — just 2-3-5 in their last 10, 0.90 points per game, with 0.70 goals scored and 1.60 conceded per match[^fact-5]. The model applies a heavy Elo differential when accounting for home advantage: RB Leipzig carry an Elo edge of +432 points in this matchup[^fact-3]. That translates into a model verdict strongly favouring the hosts: Home 63% / Draw 31% / Away 6%, a distribution where the home probability sits 32 percentage points clear of the runner-up and is flagged with high confidence by the model[^fact-2]. Those numbers align tightly with the underlying per-game outputs (goals and points) and the Elo advantage described above[^fact-2][^fact-3][^fact-4][^fact-5]. ## Personnel RB Leipzig’s attacking impetus has a clear focal point with Yan Diomande: 2 goals and 1 assist in his last 5 appearances, carrying an average match rating of 7.35 in that span[^fact-6]. That recent productivity dovetails with Leipzig’s 2.10 goals-per-game offensive rate over the recent run[^fact-4][^fact-6]. A notable blow to Leipzig is the absence of Xaver Schlager through injury; he accounted for 510 minutes in the recent run and will be missed for his minutes and continuity[^fact-8]. St. Pauli’s most-mentioned in-form name in the supplied facts is Hauke Wahl: no goals but 1 assist across his last 5 appearances and an average rating of 6.72[^fact-7]. That output sits against a side creating fewer than one goal per game in their recent run and conceding 1.60 per match, underlining the uphill task they face on the road[^fact-5][^fact-7]. St. Pauli will also be missing Mathias Pereira Lage through injury; he logged 618 minutes in the recent run and his absence removes a chunk of the minutes the side relied upon[^fact-9]. ## Where the model sees value The model’s top clear call is the home outcome at 63% probability, with the draw a distant second at 31% and the away result at 6%[^fact-2]. Three market comparisons were analysed against the model to identify edges, indicating that the model’s advantage was tested across multiple markets rather than a single line[^fact-10]. The combination of a +432 Elo differential with home advantage and Leipzig’s higher goals-per-game and points-per-game metrics forms the backbone of the model’s edge[^fact-3][^fact-4][^fact-5]. Because the model’s confidence gap to the runner-up is sizeable (32 percentage points), the principal value signal is the probability gap itself rather than a single exotic projection — the data points (Elo, recent goals and points, and player form/absences) all point in the same direction[^fact-2][^fact-3][^fact-4][^fact-5][^fact-6][^fact-8][^fact-9]. Markets analysed numbered three, and the model’s highest-conviction stance across those comparisons is the favouring of the home side as the most probable outcome[^fact-10][^fact-2]. ## Verdict The model leans decisively to the home side: RB Leipzig are the overwhelming probability pick on the supplied evidence — a 63% model probability supported by a +432 Elo edge, superior recent scoring and points returns, clear in-form contributions from Yan Diomande, and the absence of key minutes on both sides that ultimately hurts St. Pauli more in the aggregate[^fact-2][^fact-3][^fact-4][^fact-6][^fact-9][^fact-8]. ### Cited facts [^fact-1]: **Kickoff** — Sat 9 May 2026, 13:30 UTC — Bundesliga [^fact-2]: **Model verdict** — Home 63% / Draw 31% / Away 6% (source: model; confidence high, 32 pp gap to runner-up). [^fact-3]: **Elo edge** — RBL vs PAU — Elo differential +432 points (with home advantage applied). [^fact-4]: **RBL recent form** — LWWWW last 10: 7-1-2 (W-D-L), 2.20 PPG, 2.10 goals scored / 1.20 conceded per match. [^fact-5]: **PAU recent form** — LLDLD last 10: 2-3-5 (W-D-L), 0.90 PPG, 0.70 goals scored / 1.60 conceded per match. [^fact-6]: **RBL in-form player** — Yan Diomande — 2 goals, 1 assists in last 5 appearances, avg rating 7.35. [^fact-7]: **PAU in-form player** — Hauke Wahl — 0 goals, 1 assists in last 5 appearances, avg rating 6.72. [^fact-8]: **RBL key absence** — Xaver Schlager out (injury), 510 minutes in recent run. [^fact-9]: **PAU key absence** — Mathias Pereira Lage out (injury), 618 minutes in recent run. [^fact-10]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .