# Santos vs Chapecoense > Serie A · Kickoff Sat 25 Jul 2026, 21:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37129) **Status:** Finished **Final score:** Santos 2–2 Chapecoense ## Model verdict - **Santos win:** 47% - **Draw:** 28% - **Chapecoense win:** 24% - **Source:** model ## Pre-match deep dive ### Clear Elo edge and a low-scoring lean shape the contest ## The stage Santos hosts Chapecoense in a Serie A fixture that lands on Sat 25 Jul 2026 at 21:30 UTC, a mid-winter evening kick-off with domestic stakes for both clubs[^fact-1]. The match reads like a straightforward home assignment on paper: the model gives the hosts the largest single outcome probability among the three options at 47%, with the draw at 28% and an away win at 24%—a gap that carries high confidence and a 19 percentage-point margin to the runner-up outcome[^fact-2]. ## Form & momentum Recent trajectories pull in opposite directions. Santos’s last 10 across competitions show a mixed record of LWLLW, translating to 3 wins, 2 draws and 5 defeats, producing 1.10 points per game alongside averages of 1.50 goals scored and 1.80 conceded per match[^fact-4]. Chapecoense’s slide is starker: five straight losses within the same window and an overall 0-1-9 line over 10 games, generating just 0.10 points per game with 0.70 goals for and 2.30 conceded per match[^fact-5]. On strength metrics, the Elo differential, with home advantage applied, sits at +150 in Santos’s favour—an edge that underpins the model’s lean and helps explain why the home prediction leads the probabilities[^fact-3]. Form suggests Santos arrives with a marginally healthier attacking frequency and a considerably tighter defensive profile relative to Chapecoense, while the Elo gap signals an underlying expected quality differential beyond short-term noise[^fact-4][^fact-5][^fact-3]. ## Personnel Santos’s most notable in-form contributor is Miguelito, who has delivered 1 goal and 2 assists across his last 4 appearances and holds an average match rating of 7.37 in that period[^fact-7]. That direct productivity over recent games is a meaningful influence given Santos’s modest scoring average of 1.50 goals per match in the sample window[^fact-4][^fact-7]. Chapecoense’s most prominent recent creative output comes from Bruno Pacheco, who has supplied 2 assists in his last 5 appearances and carries an average rating of 6.77[^fact-8]. Those contributions are occurring against a backdrop of a team that has managed just 0.70 goals per match in the recent run, highlighting a scarcity of reliable attacking returns beyond his involvement[^fact-5][^fact-8]. Availability questions matter: Santos will be missing Gabriel Brazão through injury, a player who accounted for 540 minutes in the club’s recent run[^fact-9]. Chapecoense are similarly weakened by the absence of Doma, who logged 563 minutes in their recent matches before injury[^fact-10]. Both absences remove substantial minutes of continuity from their respective sides and could shape defensive organisation and rotation options for the managers[^fact-9][^fact-10]. ## Where the model sees value The model identifies the clearest market edge on the Under 2.5 goals line. The model assigns 54% probability to under 2.5, while the market price at 1xbet implies a different balance; the reported edge is 9.1 percentage points in favour of the model’s estimate and carries high confidence[^fact-6]. That projection aligns with the teams’ recent scoring rhythms—Santos averaging 1.50 goals and Chapecoense 0.70 in the windows used by the model—and the sizable Elo advantage, which can correlate with control and lower volatility in goal outcomes[^fact-4][^fact-5][^fact-3][^fact-6]. Markets were analysed across three market lines in the preparation of the model’s outputs, and the Under 2.5 conclusion represents the top edge identified when comparing model probabilities to market-implied odds[^fact-11][^fact-6]. The combination of a home side that is not prolific, an away side that has struggled to score, and a model confidence flag on this specific line underpins the value case reported here[^fact-4][^fact-5][^fact-6]. ## Verdict The model leans to the home side with a 47% probability while showing a clear structural expectation of a low-scoring game; the Under 2.5 goals projection at 54% captures the clearest market-model divergence and sits comfortably alongside an Elo differential of +150 favouring the hosts[^fact-2][^fact-6][^fact-3]. ### Cited facts [^fact-1]: **Kickoff** — Sat 25 Jul 2026, 21:30 UTC — Serie A [^fact-2]: **Model verdict** — Home 47% / Draw 28% / Away 24% (source: model; confidence high, 19 pp gap to runner-up). [^fact-3]: **Elo edge** — STS vs Chapecoense — Elo differential +150 points (with home advantage applied). [^fact-4]: **STS recent form** — LWLLW last 10: 3-2-5 (W-D-L), 1.10 PPG, 1.50 goals scored / 1.80 conceded per match. [^fact-5]: **Chapecoense recent form** — LLLLL last 10: 0-1-9 (W-D-L), 0.10 PPG, 0.70 goals scored / 2.30 conceded per match. [^fact-6]: **Value pick #1** — Under in Goals O/U 2.5 — model 54% vs market price 2.21 at 1xbet, edge 9.1 pp (high confidence). [^fact-7]: **STS in-form player** — Miguelito — 1 goals, 2 assists in last 4 appearances, avg rating 7.37. [^fact-8]: **Chapecoense in-form player** — Bruno Pacheco — 0 goals, 2 assists in last 5 appearances, avg rating 6.77. [^fact-9]: **STS key absence** — Gabriel Brazão out (injury), 540 minutes in recent run. [^fact-10]: **Chapecoense key absence** — Doma out (injury), 563 minutes in recent run. [^fact-11]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .