# Getafe vs Osasuna > La Liga · Kickoff Sat 23 May 2026, 19:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/1033) **Status:** Scheduled ## Model verdict - **Getafe win:** 42% - **Draw:** 44% - **Osasuna win:** 14% - **Source:** model ## Pre-match deep dive ### Draw-heavy projection as balance of risk outweighs reward ## The stage Kickoff is set for Sat 23 May 2026, 19:00 UTC in a La Liga fixture that has more to do with damage limitation than headline-grabbing swings[^fact-1]. The model assigns a heavy single-outcome tilt: draw 53%, home 35%, away 12% — a clear signal that the game is expected to be cagey rather than open[^fact-2]. ## Form & momentum Recent strings underline the model’s caution. Getafe have produced a LWDLL sequence in their last 10 that breaks down to 4 wins, 1 draw and 5 defeats, yielding 1.30 points per game and averaging 0.80 goals scored and 0.90 conceded per match across that run[^fact-4]. Osasuna arrive on a worse curve: LLLLW across 10 with 2 wins, 2 draws and 6 losses, collecting 0.80 points per game while scoring 1.20 and conceding 1.70 per match in that window[^fact-5]. Elo gives another angle: Getafe hold an Elo advantage of +157 points after home advantage has been applied, a substantial structural edge that the model has baked into its probabilities[^fact-3]. The juxtaposition is consistent — Getafe’s superior Elo and marginally better recent points return versus Osasuna’s poorer defensive numbers — yet the model still favors a draw, reflecting the compressing effect of those conceded and scored averages on outright outcomes[^fact-3][^fact-4][^fact-5]. ## Personnel Getafe’s attacking spark in recent appearances comes from Martín Satriano, who has 2 goals in his last five outings and an average match rating of 7.02 across that span[^fact-6]. That output has mattered in a team whose goals-per-game rate in the last ten is 0.80[^fact-4]. Osasuna’s most productive recent performer is Raúl García, with 2 goals and 1 assist in his last five matches and an average rating of 7.04 during that sequence[^fact-7]. His contributions sit against a backdrop of a team conceding 1.70 per match in the most recent sample[^fact-5]. The heaviest personnel absence is Mauro Arambarri for Getafe; he is out injured after contributing 779 minutes in the recent run, a loss that has clear implications for midfield control and transition phases given his minutes tally[^fact-8]. That absence is likely a factor behind the model’s relatively muted home probability despite Getafe’s Elo edge[^fact-3][^fact-8]. ## Where the model sees value Three markets were compared against the model to identify pricing gaps[^fact-9]. The primary divergence is the model’s high weight on the draw outcome at 53% while the home side sits at 35% and the away side at 12% — a distribution that reads as a bet-on-stasis assessment rather than favouring any side to force a result[^fact-2]. The Elo differential of +157 in Getafe’s favour after home advantage is applied points to a structural expectation of marginal superiority, but the model’s tilt to the draw implies market prices that underweight the probability of a stalemate against the structural data[^fact-3][^fact-2]. A second pattern emerges from match-level scoring rates: Getafe’s recent 0.80 goals scored and 0.90 conceded per match and Osasuna’s 1.20 scored and 1.70 conceded suggest a low-scoring profile overall, which the model reflects by concentrating probability on the draw rather than on volatile win/lose outcomes[^fact-4][^fact-5]. Finally, personnel signals — Satriano’s recent scoring and Arambarri’s absence — push the balance toward a narrow home edge in quality terms, but not enough to override the draw probability as computed by the model[^fact-6][^fact-8]. Those three comparisons (match result distribution, scoring-profile alignment, and personnel impact) form the backbone of where model and market diverge[^fact-9][^fact-2][^fact-3]. ## Verdict The model leans to a draw as the single most likely outcome at 53%, with Getafe favoured over Osasuna but only at 35% and the away side a longer shot at 12% — a setup that reads as a contest where Getafe’s Elo advantage and a short-term attacking spark from Martín Satriano are counterbalanced by key midfield absence and compressed scoring rates[^fact-2][^fact-3][^fact-6][^fact-8][^fact-4][^fact-5]. ### Cited facts [^fact-1]: **Kickoff** — Sat 23 May 2026, 19:00 UTC — La Liga [^fact-2]: **Model verdict** — Home 35% / Draw 53% / Away 12% (source: model; confidence high, 18 pp gap to runner-up). [^fact-3]: **Elo edge** — GET vs OSA — Elo differential +157 points (with home advantage applied). [^fact-4]: **GET recent form** — LWDLL last 10: 4-1-5 (W-D-L), 1.30 PPG, 0.80 goals scored / 0.90 conceded per match. [^fact-5]: **OSA recent form** — LLLLW last 10: 2-2-6 (W-D-L), 0.80 PPG, 1.20 goals scored / 1.70 conceded per match. [^fact-6]: **GET in-form player** — Martín Satriano — 2 goals, 0 assists in last 5 appearances, avg rating 7.02. [^fact-7]: **OSA in-form player** — Raúl García — 2 goals, 1 assists in last 5 appearances, avg rating 7.04. [^fact-8]: **GET key absence** — Mauro Arambarri out (injury), 779 minutes in recent run. [^fact-9]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .