Aston Villa vs Hull City Prediction & Preview

Poisson model rates Aston Villa at 49% — neither recent form nor the head-to-head data gives a clear steer either way as Aston Villa face Hull City.

✍️ Match Preview

Pre-Match Analysis

Aston Villa and Hull City meet at Villa Park in Premier League (matchday 29). This fixture gets under way on Saturday 13 March 2027 at 15:00 UK time.

Form

Aston Villa (all games): 3W 4D 3L across their last 10 — 1.30 PPG. Last five: D W W D D. They are averaging 1.40 goals per game and conceding 1.70 — a modest attacking output that tempers optimism on the Over 2.5 market. 2 clean sheets from 10 outings (20%). Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets.

Aston Villa at home: 4W 2D 4L from their last 10 home games — 1.40 PPG on home soil. At home they are averaging 1.80 goals scored and 1.80 conceded per game. Both teams have scored in 80% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Hull City have collected 1.10 PPG across their last 10 games: 2W 5D 3L. Last five: D L D D L. Their scoring rate of 1.10 per game is modest, conceding 1.10 — not a side to back heavily on the Over 2.5 from their form alone. 3 clean sheets from 10 outings (30%).

When travelling, Hull City have posted 2W 3D 5L from their last 10 away outings — 0.90 PPG. Away from home they average 1.10 goals scored and 1.30 conceded per game. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context.

Neither side holds a meaningful form edge. The 1.30 vs 1.10 PPG split is negligible — model and market signals should carry more analytical weight for this one.

In terms of goals, both squads have been finding the net consistently (from Aston Villa's last 10 home games and Hull City's last 10 away games) — Aston Villa have seen both teams score in 80% of their games, Hull City in 60%. That combined rate is a strong statistical case for BTTS Yes as a standalone play.

Head-to-Head

The head-to-head record is closely matched — across the 1 H2H match in our data, the wins are level at 0 apiece, with 1 draw. Neither side has a commanding advantage. With only 1 H2H match to go on, treat this as a light input.

The 1 H2H match in our data have been tight, averaging just 0.0 goals per game — a meaningful input for the Under 2.5 market. The most recent of those, on 5 Sep 2026, ended Aston Villa 0–0 Hull City — a draw.

With a balanced win record and just 0.0 goals per game, the H2H data points toward a tight, low-scoring contest — Under 2.5 is the stronger head-to-head angle regardless of which side wins.

Trading

Aston Villa half-time and goal-timing data (last 48 games, 24 of them at home): at least one goal arrives before half-time in 75% of their matches in home games; when goalless at HT, a second-half goal follows 69% of the time; of the 13 games they trailed at half-time, they recovered to draw or win 38%; BTTS occurs in 58% of their matches (home games); Over 2.5 goals lands in 58% of games (home games).

Hull City half-time and goal-timing data (last 48 games, 24 of them away): at least one goal arrives before half-time in 71% of their matches in away games; when goalless at HT, a second-half goal follows 73% of the time; of the 15 games they led at half-time, they failed to win 33%; BTTS occurs in 54% of their matches (away games); Over 2.5 goals lands in 58% of games (away games).

BTTS rates are mixed from the trading data — Aston Villa 58% versus Hull City 56%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Aston Villa 54% | Hull City 52%). Note also that Hull City surrender HT leads in 33% of cases while Aston Villa recover from half-time deficits to draw or win 38% of the time — a dynamic that could influence in-play positioning.

Poisson Model

The Poisson distribution model projects Aston Villa 1.43 xG and Hull City 0.91 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Aston Villa attack 1.017 / defence 1.096 | Hull City attack 0.715 / defence 0.956. League average goals — home 1.472 / away 1.164. Hull City's attack rating of 0.715 is below the league average, which holds their xG down at 0.91. Data: built from Aston Villa's last 48 games and Hull City's last 10.

Result probabilities: Aston Villa 49% | Draw 27% | Hull City 24%. Fair-value odds: Aston Villa 2.04 | Draw 3.72 | Hull City 4.17. Aston Villa hold a narrow Poisson edge at 49% — the draw (27%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 42% | BTTS Yes probability 46% | Total xG 2.34. Under 2.5 has a narrow probability edge at 58% — total xG of 2.34 is below the line but not decisively so. BTTS No at 54% is only a slight lean — the model gives both sides a fair chance of scoring, so No isn't a clear standalone call.

Verdict

The Poisson model's primary lean is Aston Villa at 49% — moderate model lean. Draw probability of 27% warrants consideration of Double Chance or Draw No Bet on Aston Villa if the outright odds are short.

The Poisson model projects 2.34 xG in total — Under 2.5 at 58% — low conviction — though recent form (Aston Villa's last 10 home games and Hull City's last 10 away games) averaging 3.0 goals per game points the other way.

Poisson assigns a 54% probability to BTTS No based on the attack/defence strength model. This conflicts with form data — both teams scored in: Aston Villa 80% (last 10 home games) | Hull City 60% (last 10 away games), a notable divergence.

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