# Granada vs Sporting Gijón > La Liga 2 · Kickoff Sat 30 May 2026, 19:00 UTC · [Canonical HTML](https://betsprinter.com/fixtures/1095) **Status:** Finished **Final score:** Granada 1–2 Sporting Gijón ## Model verdict - **Granada win:** 48% - **Draw:** 29% - **Sporting Gijón win:** 22% - **Source:** model ## Pre-match deep dive ### Narrow home lean, under 2.5 emerges as the clearest edge ## The stage Saturday's kick-off is scheduled for 19:00 UTC in La Liga 2 on 30 May 2026[^fact-1]. The fixture sits late in the calendar and the model assigns the home side the plurality of the probability mass, but not a commanding favourite position[^fact-2]. Treat the timing as part of the context — the model's home bias is already applied into its raw strength comparison[^fact-3]. ## Form & momentum Recent trajectories point in different directions. The home side has managed a single win in ten, compiling a 3-0-7 W-D-L split and averaging 0.90 points per game, with 1.20 goals scored and 2.00 conceded per match over that period[^fact-4]. The visitors arrive with a more encouraging short run: four wins in ten for a 4-1-5 record, 1.30 points per game, 1.60 goals scored and 1.40 conceded on average[^fact-5]. The Elo comparison, with home advantage already included, gives the hosts a clear edge of 79 points — a non-trivial gap that explains why the model still prefers the home outcome despite the visitors’ superior recent results[^fact-3]. The model's final probabilities are Home 45% / Draw 34% / Away 22%, and the confidence designation attached to that output is "mid" with an 11 percentage-point gap to the runner-up scenario[^fact-2]. That combination — an Elo-favouring home team, patchy recent form, and a modest model confidence — is exactly the sort of profile where markets can misprice event-level variability. ## Personnel Two players stand out for recent contributions. Pablo Sáenz has one goal and one assist in his last five appearances, with an average rating of 6.91[^fact-7]. Àlex Corredera has been more productive for the visitors, with one goal and two assists in his last four matches and an average rating of 7.61[^fact-8]. Both names are the clearest attacking sparks in the supplied data and should shape the immediate offensive threat map for their respective sides. The two heaviest absences listed are Luca Zidane for the hosts and Andrés Ferrari for the visitors; both are out injured in the run-up to this match[^fact-9][^fact-10]. Luca Zidane featured for 270 minutes in the recent run before the absence was recorded[^fact-9], which signals that the hosts have lost a goalkeeper with match rhythm. The visitors will be missing Andrés Ferrari[^fact-10], which removes one piece of their otherwise steadier recent body of work. These absences matter in a tight matchup where small margins and game-management moments often decide outcomes. ## Where the model sees value The clearest model-market divergence is on total goals. The model assigns a 60% probability to under 2.5 goals while the market price on 1xbet is 2.04, producing an edge of 10.6 percentage points in favour of under 2.5 — and the model labels this pick with high confidence[^fact-6]. That is the standout discrepancy among the compared markets; three market lines were analysed against the model in total[^fact-11]. The logic embedded in the numbers supports the under case: the hosts are conceding two goals per match in the recent sample while scoring only 1.20, and the visitors’ offensive output is modest at 1.60 goals per match — neither side carries the kind of output to suggest a high-scoring shootout on the balance of recent results[^fact-4][^fact-5]. Add the defensive reliability implied by the visitors’ lower conceded number, and the model’s tilt to under 2.5 becomes coherent even with the home-side Elo advantage[^fact-3][^fact-5]. Markets beyond totals show the model favouring the home side but without a dominant probability; Home 45% sits ahead of Draw 34% and Away 22% in the model book[^fact-2]. That distribution is consistent with the view that the hosts are better on paper but vulnerable in form and personnel. ## Verdict The model leans to the home side but not emphatically — Home 45% versus Draw 34% and Away 22% — while the clearest exploitable discrepancy is on under 2.5 goals, where the model's 60% probability contrasts with a market priced at 2.04 and an edge of 10.6 percentage points[^fact-2][^fact-6]. The combination of an Elo edge for the hosts and lower recent scoring outputs makes a low-scoring game the most defensible expectation given the supplied data[^fact-3][^fact-4][^fact-5]. ### Cited facts [^fact-1]: **Kickoff** — Sat 30 May 2026, 19:00 UTC — La Liga 2 [^fact-2]: **Model verdict** — Home 45% / Draw 34% / Away 22% (source: model; confidence mid, 11 pp gap to runner-up). [^fact-3]: **Elo edge** — GRA vs SPO — Elo differential +79 points (with home advantage applied). [^fact-4]: **GRA recent form** — LLLWL last 10: 3-0-7 (W-D-L), 0.90 PPG, 1.20 goals scored / 2.00 conceded per match. [^fact-5]: **SPO recent form** — WWLLL last 10: 4-1-5 (W-D-L), 1.30 PPG, 1.60 goals scored / 1.40 conceded per match. [^fact-6]: **Value pick #1** — Under in Goals O/U 2.5 — model 60% vs market price 2.04 at 1xbet, edge 10.6 pp (high confidence). [^fact-7]: **GRA in-form player** — Pablo Sáenz — 1 goals, 1 assists in last 5 appearances, avg rating 6.91. [^fact-8]: **SPO in-form player** — Àlex Corredera — 1 goals, 2 assists in last 4 appearances, avg rating 7.61. [^fact-9]: **GRA key absence** — Luca Zidane out (injury), 270 minutes in recent run. [^fact-10]: **SPO key absence** — Andrés Ferrari out (injury). [^fact-11]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .