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Bawler / EUROPE: Europa League - Play Offs / Aston Villa
Aston Villa crest

Aston Villa

EUROPE: Europa League - Play Offs

Aston Villa show a balanced attacking profile (1.40 xG per match) paired with modest defensive solidity (1.29 conceded), positioning them as a controlled rather than dominant force in Europa League play-offs. Recent form has been mixed—two wins bookended by losses before stabilising with back-to-back victories—though their nine-match settled record (6W-1D-2L) reflects underlying consistency. With no imminent fixtures in the current window, the model awaits their next Europa League assignment. Bawler's banker picks have landed at 67% on Villa matches, suggesting reliable early reads on their European encounters.

> Attack vs Defence (xG per match)
Goals scored (xG)1.36+0.01 vs league
Goals conceded (xG)1.37+0.00 vs league
◇ = EUROPE: Europa League - Play Offs average. Lower xG conceded is better.

How to read this: the green bar shows the average goals Aston Villa were expected to score per match (their xG output). The red bar shows what opponents are expected to score against them. The diamond on each bar marks the EUROPE: Europa League - Play Offs average — if the bar extends past the diamond, Aston Villa are above average there.

> xG performance · last 10 matches
01234vs Lille: actual 2, xG 1.49vs West Ham: actual 2, xG 1.48@ Bologna: actual 3, xG 1.19vs Bologna: actual 4, xG 1.36@ Nottingham: actual 0, xG 1.16vs Tottenham: actual 1, xG 1.52@ Burnley: actual 2, xG 1.66vs Liverpool: actual 4, xG 1.33@ SC Freiburg: actual 3, xG 1.39@ Manchester City: actual 2, xG 1.00LilleWest H@BolognBologn@NottinTotten@BurnleLiverp@SC Fre@Manche
Goals scoredModel xGAggregate +9.4 goals vs xG (+0.94/game)

How to read this: the solid line is the goals Aston Villa actually scored each match. The dashed line is the goals the model expected them to score (xG). When the solid line is above the dashed, they overperformed — they finished better than the chances they created suggested. When it's below, they underperformed. Persistent underperformance often regresses; a one-off gap usually doesn't.

> What the data says
Bawler's edge: Goals (Over/Under)
Banker picks in this market land 86% of the time on Aston Villa fixtures (6/7).
Tough market: Result
Aston Villa matches give Bawler a harder read here — 1/3 (33%). Approach with caution.
On a 3-match winning run
Form line shows consecutive wins in their most recent settled fixtures. Momentum factor worth weighting.
> Form · last 5
Overall: 7W / 1D / 2L · Avg goals 2.3 for, 0.9 against

How to read this: each tile is one settled match, most recent first. Green = win, amber = draw, red = loss. Numbers show the actual scoreline from Aston Villa's perspective. Tap a tile to see Bawler's full prediction for that match.

Matches Covered
10
10 settled
Avg xG Scored
1.36
per match
Avg xG Conceded
1.37
per match
Banker Hit Rate
70%
7/10 picks
> Bawler's Banker picks on Aston Villa matches
70%
hit rate over 10 picks

When Bawler issues a Banker pick on a Aston Villa fixture, the model lands 7 out of 10 (70%). This is well above the cross-league baseline of ~65%. Every pick is logged before kickoff and settled publicly.

> Bawler's record on Aston Villa by market
Goals (Over/Under)86%6/7
Result33%1/3

How to read this: each row groups settled Banker picks Bawler issued on Aston Villa fixtures by market type, so you can see where the model has the strongest read on this team. Higher hit rate = more reliable category for Aston Villa matches.

> Recent matches (last 10)

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