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Deportivo La Coruna v Sevilla — Prediction, Odds & Stats

Wednesday 16 September 2026 · ESP-La Liga · 2627

La Liga xG Prediction generated

AI prediction

ai-blend v1.0 daily
Deportivo La Coruna win
38.1%
Draw
29.0%
Sevilla win
32.9%

Raw model output; no calibration record for this fixture's bands yet.

Top 5 scorelines

  1. 1-1 13.4%
  2. 1-0 12.6%
  3. 0-1 11.5%
  4. 0-0 10.9%
  5. 2-1 7.7%

Goals

Over 2.538.2% Under 2.561.8%
BTTS yes44.8% BTTS no55.2%
Deportivo La Coruna 1+68.7% Deportivo La Coruna 2+32.3%
Sevilla 1+65.2% Sevilla 2+28.5%

Expected goals 1.16 – 1.06. Every market above is read off one scoreline distribution.

Footing

AI confidence
88/100
Data quality
80/100
Model agreement
99%
★ Best pick
Nothing on a measured band prices above 1.18 here.
★ Most likely to land
Nothing on a measured band prices above 1.18 here.

Positive factors

  • Deportivo La Coruna carry the stronger rating, 1522 Elo against 1481.
  • Deportivo La Coruna have created 0.96 xG a match over their last five while Sevilla have allowed 1.28.
  • At home Deportivo La Coruna average 0.88 xG a match.
  • Their last eleven was closer to full strength: Sevilla were missing 1.03 expected goal involvements a match against 0.11.

Risk factors

  • Deportivo La Coruna have scored 1.67 a match from 0.96 xG over five matches, which usually corrects.
  • Deportivo La Coruna have only 3 matches on record.
Why the model thinks this

The price

Deportivo La Coruna have an estimated 38.1% win probability, against 32.9% for Sevilla and 29.0% for the draw. Expected goals from the ensemble are 1.16 for Deportivo La Coruna and 1.06 for Sevilla.

Why Deportivo La Coruna

Deportivo La Coruna carry the stronger rating, 1522 Elo against 1481. Deportivo La Coruna have created 0.96 xG a match over their last five while Sevilla have allowed 1.28. At home Deportivo La Coruna average 0.88 xG a match. Their last eleven was closer to full strength: Sevilla were missing 1.03 expected goal involvements a match against 0.11.

Why the draw is live

The draw sits at 29.0%. A combined 2.22 expected goals is a low-scoring profile, and low totals mean more level finishes. The sides are closely matched on expected goals, 1.16 to 1.06. Draws run at 25% in this competition.

Why Sevilla can win

Sevilla have created 1.02 xG a match over their last five while Deportivo La Coruna have allowed 1.32. Away from home Sevilla average 0.73 xG a match.

Key players

Deportivo La Coruna's leading contributors by expected goal involvements a match: Pierre-Emerick Aubameyang (0.54), Bil Nsongo (0.22), Mario Soriano (0.18). Sevilla's leading contributors by expected goal involvements a match: Akor Adams (0.31), Robbie Ure (0.31), Neal Maupay (0.27).

Availability

Deportivo La Coruna had a player sent off last time out, worth about 0.08 expected goal involvements a match. Reported unavailable for Deportivo La Coruna: Adrià Alti (suspended). 2 of Sevilla's top three contributors did not start their last match. 36% of Sevilla's last eleven are new to the club this window.

The matchup, as far as the data reaches

Deportivo La Coruna: 43% possession, 8.3 shots a match, 12.0 faced, 0.05 xG a match from set pieces. Sevilla: 42% possession, 12.8 shots a match, 12.0 faced, 0.13 xG a match from set pieces.

Inputs last refreshed: matches 2026-09-06 07:42 · team_stats 2026-09-06 06:08 · availability 2026-09-06 07:53 · prediction 2026-09-05 18:39 ·

Deportivo La Coruna are the model's most likely outcome at 38.1%. The likeliest scoreline is 1-1 at 13.4%. Confidence 88/100, data quality 80/100. These are probabilities, not certainties: the less likely outcome happens as often as its number says.

Written from the numbers the model saw, not by a language model; nothing here is a statistic the snapshot does not hold. How predictions work.

Was this pick made in advance?
A model whose name ends -oos is out of sample: it was fitted only on matches played before this one, so its pick is a genuine forecast rather than hindsight. Anything without that suffix was fitted on all available data.

What the chances say

Sevilla are finishing above their chances — 2.8 goals more than expected across 10 matches, which usually cools off.

LLWWWLLWWL last 10 scored 13 from 10.2 xG conceded 14 from 12.8 xG

Finishing swings far more than chance creation, so a gap this size usually narrows. Over ten matches it is suggestive, not settled — a genuinely elite finisher beats expected goals for years.

What the model said

ModelHome / Draw / Away Expected goalsLikeliest score O2.5BTTS
ai-blend 1.16–1.06 0% 0% 0%
dc-xg 1.15–1.01 1-1 13% 36% 43%

A model whose name ends -oos was produced by the walk-forward backtest: it was fitted only on matches played before this one, so the pick is genuinely out of sample.

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What this page is for

One fixture in full. The model's probability for every market it prices, the prices stored against them, the teams expected to feature, and for a match already played, the shot map and the xG timeline.

How to read the shot map

Every shot is placed where it was taken and sized by its chance of being scored. A cluster of small marks from distance and a clean sheet is a side that was busy without ever threatening; two big marks and a defeat is a side that had the better of it and lost anyway. Both happen constantly, and both are invisible in the score.

How to read the xG timeline

The steps are chances as they arrived, so the shape shows who was on top and when. A flat line that jumps once near the end is a smash and grab.

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The stored prediction is the one made before the match, kept deliberately so it can be judged afterwards. It is not re-fitted with hindsight.

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