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Coventry v Sunderland — Prediction, Odds & Stats

Saturday 31 October 2026 · ENG-Premier League · 2627

Premier League xG Prediction generated

AI prediction

ai-blend v1.0 daily
Coventry win
31.7%
Draw
26.3%
Sunderland win
42.0%

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

Top 5 scorelines

  1. 1-1 12.5%
  2. 0-1 10.6%
  3. 1-0 8.9%
  4. 1-2 8.8%
  5. 0-0 7.6%

Goals

Over 2.547.7% Under 2.552.3%
BTTS yes52.2% BTTS no47.8%
Coventry 1+69.3% Coventry 2+33.1%
Sunderland 1+75.3% Sunderland 2+40.8%

Expected goals 1.18 – 1.40. Every market above is read off one scoreline distribution.

Footing

AI confidence
78/100
Data quality
80/100
Model agreement
88%
★ 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

  • Sunderland carry the stronger rating, 1536 Elo against 1493.
  • Sunderland have created 1.59 xG a match over their last five while Coventry have allowed 1.68.
  • Away from home Sunderland average 1.56 xG a match.

Risk factors

  • The component models disagree more than usual (agreement 0.88).
  • Coventry have only 7 matches on record.
Why the model thinks this

The price

Sunderland have an estimated 42.0% win probability, against 31.7% for Coventry and 26.3% for the draw. Expected goals from the ensemble are 1.18 for Coventry and 1.40 for Sunderland.

Why Coventry

Coventry have created 1.11 xG a match over their last five while Sunderland have allowed 1.77. At home Coventry average 1.30 xG a match. Their last eleven was closer to full strength: Sunderland were missing 0.80 expected goal involvements a match against 0.36.

Why the draw is live

The draw sits at 26.3%. The sides are closely matched on expected goals, 1.18 to 1.40. Draws run at 25% in this competition.

Why Sunderland can win

Sunderland carry the stronger rating, 1536 Elo against 1493. Sunderland have created 1.59 xG a match over their last five while Coventry have allowed 1.68. Away from home Sunderland average 1.56 xG a match.

Key players

Coventry's leading contributors by expected goal involvements a match: Jack Rudoni (0.31), Taiwo Awoniyi (0.26), Sidiki Chérif (0.25). Sunderland's leading contributors by expected goal involvements a match: Enzo Le Fée (0.39), Brian Brobbey (0.32), Tymur Tutierov (0.25).

Availability

1 of Coventry's top three contributors did not start their last match. 1 of Sunderland's top three contributors did not start their last match. Sunderland had a player sent off last time out, worth about 0.07 expected goal involvements a match. Reported unavailable for Sunderland: Kevin Danso (suspended).

The matchup, as far as the data reaches

Coventry: 32% possession, 11.4 shots a match, 19.2 faced, 0.12 xG a match from set pieces. Sunderland: 47% possession, 11.6 shots a match, 16.2 faced, 0.28 xG a match from set pieces.

Inputs last refreshed: matches 2026-10-22 14:54 · team_stats 2026-10-20 06:04 · availability 2026-10-22 14:58 · prediction 2026-09-18 10:37 ·

Sunderland are the model's most likely outcome at 42.0%. The likeliest scoreline is 1-1 at 12.5%. Confidence 78/100, 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.

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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

Coventry are conceding more than the chances against them merit — 2.2 goals above expected, which tends to correct.

LLLLWWL last 7 scored 6 from 7.8 xG conceded 14 from 11.8 xG

Sunderland are finishing sharply below their chances — 4.9 goals fewer than expected across 10 matches, despite creating the openings.

DWWLWDLLLL last 10 scored 11 from 15.9 xG conceded 16 from 17.7 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 1.18–1.40 0% 0% 0%
dc-goals 0.82–1.11 0-0 16% 31% 39%
dc-xg 1.42–1.11 1-1 13% 46% 51%

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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On this page

Match

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.

Things to watch

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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