# Grêmio vs Santos > Serie A · Kickoff Sat 23 May 2026, 22:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/36203) **Status:** Scheduled ## Model verdict - **Grêmio win:** 67% - **Draw:** 25% - **Santos win:** 8% - **Source:** model ## Pre-match deep dive ### Heavy home favourite on paper as form points mixed ## The stage Kickoff is Sat 23 May 2026, 22:00 UTC in Serie A[^fact-1]. This is a straight domestic league meeting where home advantage is a clear factor in the quantitative framing[^fact-3]. ## Form & momentum The model makes a decisive call: Home 67% / Draw 25% / Away 8%, with a high confidence gap to the runner-up[^fact-2]. That verdict aligns with an Elo edge for the hosts: an applied differential of +138 points in favour of Grêmio[^fact-3]. Recent raw form, however, tells a less one-sided story. Grêmio arrive with DLDWL in their last 10 (2 wins, 4 draws, 4 losses), averaging 1.00 points per game and scoring 0.60 while conceding 0.80 goals per match[^fact-4]. Santos’ sequence is LWDDL in their last 10 (3 wins, 3 draws, 4 losses), at 1.20 points per game and a goals profile of 1.20 scored and 1.40 conceded per match[^fact-5]. In short: Elo and the model tilt heavily toward the hosts, but recent form suggests both sides have struggled for consistency and Santos carry marginally better attacking output across the sample[^fact-3][^fact-4][^fact-5]. ## Personnel Grêmio’s notable in-form mention is Pedro Gabriel, who has 0 goals and 1 assist in his last five appearances with an average rating of 6.80[^fact-6]. The side also faces the significant absence of Gabriel Mec, suspended after contributing 274 minutes in the recent run[^fact-8]. Santos have Benjamín Rollheiser as their recent spark: 3 goals and 0 assists in his last five appearances, averaging a 7.30 rating[^fact-7]. Santos will be without João Schmidt due to injury; he logged 269 minutes in the recent stretch before missing this game[^fact-9]. Those minutes figures underline that each team is losing a regular contributor rather than a peripheral name[^fact-8][^fact-9]. ## Where the model sees value The quantitative edge is concentrated on the home win: the model assigns Grêmio a 67% probability compared with 8% for an away win and 25% for a draw[^fact-2]. That gap is consistent with the +138 Elo differential once home advantage is applied[^fact-3]. Markets analysed were three in total against the model, and the clearest discrepancy shows up in the away option — the model’s 8% chance is the outlier relative to market pricing across those three markets[^fact-10][^fact-2]. Given Santos’ higher goals-per-game figure in the recent sample (1.20) and their attacking individual in form[^fact-5][^fact-7], the model’s low away probability is where the strongest quantitative divergence lies versus a surface read of recent attacking numbers[^fact-2][^fact-5][^fact-7]. ## Verdict The model’s lean is decisively for the home side — Grêmio — driven by a sizable Elo cushion and a 67% match probability from the model, despite mixed recent form on both sides and meaningful absences for each team[^fact-3][^fact-2][^fact-4][^fact-5][^fact-8][^fact-9]. Markets analysed (3) show the biggest mismatch on the away outcome versus that projection[^fact-10][^fact-2]. ### Cited facts [^fact-1]: **Kickoff** — Sat 23 May 2026, 22:00 UTC — Serie A [^fact-2]: **Model verdict** — Home 67% / Draw 25% / Away 8% (source: model; confidence high, 42 pp gap to runner-up). [^fact-3]: **Elo edge** — GRE vs STS — Elo differential +138 points (with home advantage applied). [^fact-4]: **GRE recent form** — DLDWL last 10: 2-4-4 (W-D-L), 1.00 PPG, 0.60 goals scored / 0.80 conceded per match. [^fact-5]: **STS recent form** — LWDDL last 10: 3-3-4 (W-D-L), 1.20 PPG, 1.20 goals scored / 1.40 conceded per match. [^fact-6]: **GRE in-form player** — Pedro Gabriel — 0 goals, 1 assists in last 5 appearances, avg rating 6.80. [^fact-7]: **STS in-form player** — Benjamín Rollheiser — 3 goals, 0 assists in last 5 appearances, avg rating 7.30. [^fact-8]: **GRE key absence** — Gabriel Mec out (suspension), 274 minutes in recent run. [^fact-9]: **STS key absence** — João Schmidt out (injury), 269 minutes in recent run. [^fact-10]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .