Predictions / Football / England. Premier League / Wolves vs Fulham

Prediction Audit: Wolves vs Fulham Prediction, Odds & AI Betting Tips

Wolves Wolves
May 17, 2026 - 14:00
1 1.19
1 1.30
xG Accuracy: 87%
Fulham Fulham

The model missed the final outcome (Draw 1–1).

The model had projected Fulham at 37.5%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Fulham Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 0-0 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Fulham higher than the statistical model.

Largest probability gap: Fulham -13.0 pp

Outcome Model Closing Market Difference Signal
Wolves 32.2% 24.2% +8.0 pp Model Higher
Draw 30.4% 25.4% +5.0 pp Aligned
Fulham 37.5% 50.4% -13.0 pp Market Higher

The closing market estimates Fulham's win probability at 50.4%, compared with the model's estimate of 37.5%, a difference of 13.0 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was Draw 1–1.

Market Assessment

The market is materially more optimistic about Fulham than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • 1X2: model leaned Fulham; match finished Draw

Market lesson

The closing market differed from the model on Fulham by 13.0 percentage points (50.5% vs model 37.5%) — in this case the market view proved closer.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. May 17, 2026 · 13:59 UTC Forecast generated
    • Model 1X2 · Wolves 32.1% · Draw 30.4% · Fulham 37.5%
    • xG · Wolves 1.19 — Fulham 1.30
  2. May 17, 2026 · 13:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Wolves 4.02 · Draw 3.84 · Fulham 1.93
    • Implied 1X2 · Wolves 24.2% · Draw 25.4% · Fulham 50.4%
    • Bookmaker · Pinnacle
  3. May 17, 2026 · 13:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Wolves 4.02 · Draw 3.84 · Fulham 1.93
    • Implied 1X2 · Wolves 24.2% · Draw 25.4% · Fulham 50.4%
    • Bookmaker · Pinnacle
  4. May 17, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Warning
  • Large market gap (13 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 35/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 05:22 UTC Snapshot ID: dp-1822900

Closing Odds 1.93
AI Fair Odds —
CLV Pending
Final Result Draw · Wolves 1–1 Fulham
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Premier League
  • Fixture: Wolves vs Fulham
  • Kickoff: 2026-05-17 14:00:00
  • 1X2 (model): Home 32.1% · Draw 30.4% · Away 37.5%
  • xG (showing): Wolves 1.19 — Fulham 1.3 (total xG ≈ 2.49)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 54.6% · Implied: 46.1% · Probability edge: +8.5 pts · Est. EV: +16.8%
  • BTTS (model): Yes 52.3% · No 47.7%
  • Correct score (top bin): 1-1 (12.8%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: Monitor

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 28, 2026 (UTC)

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Premier League Premier League — Standings
# TEAM MP W D L PTS
1 Arsenal 38 26 7 5 85
2 Manchester City 38 23 9 6 78
3 Manchester United 38 20 11 7 71
4 Aston Villa 38 19 8 11 65
5 Liverpool 38 17 9 12 60
6 Bournemouth 38 13 18 7 57
7 Sunderland 38 14 12 12 54
8 Brighton 38 14 11 13 53
9 Brentford 38 14 11 13 53
10 Chelsea 38 14 10 14 52
11 Fulham 38 15 7 16 52
12 Newcastle 38 14 7 17 49
13 Everton 38 13 10 15 49
14 Leeds 38 11 14 13 47
15 Crystal Palace 38 11 12 15 45
16 Nottingham Forest 38 11 11 16 44
17 Tottenham 38 10 11 17 41
18 West Ham 38 10 9 19 39
19 Burnley 38 4 10 24 22
20 Wolves 38 3 11 24 20
# TEAM MP GS GC +/- PTS
1 Manchester City 38 77 35 +42 78
2 Arsenal 38 71 27 +44 85
3 Manchester United 38 69 50 +19 71
4 Liverpool 38 63 53 +10 60
5 Chelsea 38 58 52 +6 52
6 Bournemouth 38 58 54 +4 57
7 Aston Villa 38 56 49 +7 65
8 Brentford 38 55 52 +3 53
9 Newcastle 38 53 55 -2 49
10 Brighton 38 52 46 +6 53
11 Leeds 38 49 56 -7 47
12 Nottingham Forest 38 48 51 -3 44
13 Tottenham 38 48 57 -9 41
14 Everton 38 47 50 -3 49
15 Fulham 38 47 51 -4 52
16 West Ham 38 46 65 -19 39
17 Sunderland 38 42 48 -6 54
18 Crystal Palace 38 41 51 -10 45
19 Burnley 38 38 75 -37 22
20 Wolves 38 27 68 -41 20
# TEAM MP xG xGC +/- PTS
1 Arsenal 38 64.5 28.8 +35.7 85
2 Manchester City 38 68.8 42.6 +26.2 78
3 Manchester United 38 64.7 48.5 +16.2 71
4 Liverpool 38 60.1 46.9 +13.2 60
5 Chelsea 38 63.5 51.9 +11.6 52
6 Brighton 38 57.4 49.9 +7.5 53
7 Crystal Palace 38 57.6 50.2 +7.4 45
8 Bournemouth 38 62.5 56.8 +5.7 57
9 Newcastle 38 57.2 51.5 +5.7 49
10 Brentford 38 59.3 54.3 +5.0 53
11 Leeds 38 54.4 55.1 -0.7 47
12 Fulham 38 47.9 52.2 -4.3 52
13 Aston Villa 38 47.6 54.3 -6.7 65
14 Nottingham Forest 38 46.3 56.3 -10.0 44
15 Everton 38 45.9 55.9 -10.0 49
16 Tottenham 38 40.8 52.2 -11.4 41
17 West Ham 38 45.1 56.8 -11.7 39
18 Sunderland 38 39.1 53.4 -14.3 54
19 Wolves 38 35.5 58.1 -22.6 20
20 Burnley 38 32.3 74.9 -42.6 22