Predictions / Football / England. League Two / Gillingham vs Walsall

Prediction Audit: Gillingham vs Walsall Prediction, Odds & AI Betting Tips

Gillingham Gillingham
Aug 15, 2026 - 14:00
0 1.28
3 1.32
xG Accuracy: 44%
Walsall Walsall

AI correctly predicted the Walsall win.

The match finished 0–3, validating the model's directional assessment.

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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Walsall Walsall ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-3 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Gillingham -4.4 pp

Outcome Model Closing Market Difference Signal
Gillingham 34.2% 38.6% -4.4 pp Aligned
Draw 29.6% 28.9% +0.7 pp Aligned
Walsall 36.1% 32.5% +3.7 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 model's directional lean matched the result (Walsall win 0–3).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

The model's directional lean matched the full-time result (Walsall win 0–3).

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Prediction Timeline

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

  1. Aug 15, 2026 · 14:09 UTC Forecast generated
    • Model 1X2 · Gillingham 34.2% · Draw 29.7% · Walsall 36.1%
    • xG · Gillingham 1.28 — Walsall 1.32
  2. Aug 15, 2026 · 13:42 UTC Opening odds snapshot PRE30
    • 1X2 odds · Gillingham 2.46 · Draw 3.29 · Walsall 2.96
    • Implied 1X2 · Gillingham 38.8% · Draw 29.0% · Walsall 32.2%
    • Bookmaker · Pinnacle
  3. Aug 15, 2026 · 14:09 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Gillingham 2.47 · Draw 3.30 · Walsall 2.94
    • Implied 1X2 · Gillingham 38.6% · Draw 28.9% · Walsall 32.5%
    • Bookmaker · Pinnacle
  4. Aug 15, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Walsall win · 0–3
  6. FT Prediction validated Directional lean matched 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 27/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 09, 2026 · 02:08 UTC Snapshot ID: dp-3352526

Closing Odds 2.47
AI Fair Odds —
CLV Pending
Final Result Walsall win · Gillingham 0–3 Walsall
Prediction ✔ Correct
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

Pre-match snapshot for this fixture.

  • League: League Two
  • Fixture: Gillingham vs Walsall
  • Kickoff: 2026-08-15 14:00:00
  • 1X2 (model): Home 34.2% · Draw 29.7% · Away 36.1%
  • xG (showing): Gillingham 1.28 — Walsall 1.32 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Monitor

Outcome: Validated — Pre-match lean validated against 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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League Two League Two — Standings
# TEAM MP W D L PTS
1 Barnet 7 4 3 0 15
2 Walsall 7 3 4 0 13
3 Grimsby 7 3 4 0 13
4 Gillingham 7 3 3 1 12
5 Cheltenham 7 3 3 1 12
6 Bristol Rovers 7 4 0 3 12
7 York 7 3 2 2 11
8 Chesterfield 7 3 2 2 11
9 Crewe 7 2 5 0 11
10 Tranmere 7 2 4 1 10
11 Fleetwood Town 7 2 4 1 10
12 Salford City 7 3 1 3 10
13 Swindon Town 7 3 1 3 10
14 Rotherham 7 2 3 2 9
15 Colchester 7 2 3 2 9
16 Oldham 7 2 1 4 7
17 Rochdale 7 2 1 4 7
18 Shrewsbury 7 2 1 4 7
19 Newport County 7 1 3 3 6
20 Exeter City 7 1 3 3 6
21 Accrington ST 7 1 3 3 6
22 Northampton 7 1 3 3 6
23 Port Vale 7 1 2 4 5
24 Crawley Town 7 1 1 5 4
# TEAM MP GS GC +/- PTS
1 Barnet 7 17 10 +7 15
2 Cheltenham 7 14 11 +3 12
3 York 7 13 10 +3 11
4 Bristol Rovers 7 12 11 +1 12
5 Grimsby 7 11 6 +5 13
6 Gillingham 7 11 6 +5 12
7 Walsall 7 10 4 +6 13
8 Chesterfield 7 10 8 +2 11
9 Rotherham 7 10 10 0 9
10 Newport County 7 10 11 -1 6
11 Accrington ST 7 10 13 -3 6
12 Tranmere 7 9 7 +2 10
13 Fleetwood Town 7 8 7 +1 10
14 Salford City 7 8 9 -1 10
15 Oldham 7 8 9 -1 7
16 Colchester 7 8 10 -2 9
17 Swindon Town 7 8 11 -3 10
18 Crewe 7 7 5 +2 11
19 Rochdale 7 7 10 -3 7
20 Crawley Town 7 6 13 -7 4
21 Shrewsbury 7 5 11 -6 7
22 Exeter City 7 4 5 -1 6
23 Northampton 7 3 6 -3 6
24 Port Vale 7 3 9 -6 5
# TEAM MP xG xGC +/- PTS
1 Accrington ST 7 3.0 0.5 +2.5 6
2 Walsall 7 3.5 1.8 +1.7 13
3 Rotherham 7 2.2 0.7 +1.5 9
4 Northampton 7 1.6 0.3 +1.3 6
5 Barnet 7 2.8 1.8 +1.0 15
6 Shrewsbury 7 2.1 1.2 +0.9 7
7 Crewe 7 1.7 0.8 +0.9 11
8 Grimsby 7 1.9 1.1 +0.8 13
9 Oldham 7 1.5 0.9 +0.6 7
10 Bristol Rovers 7 2.0 1.6 +0.4 12
11 Fleetwood Town 7 1.9 1.5 +0.4 10
12 York 7 1.6 2.0 -0.4 11
13 Chesterfield 7 1.5 1.9 -0.4 11
14 Port Vale 7 0.9 1.5 -0.6 5
15 Exeter City 7 1.1 1.9 -0.8 6
16 Tranmere 7 1.2 2.1 -0.9 10
17 Crawley Town 7 0.8 1.7 -0.9 4
18 Salford City 7 1.8 2.8 -1.0 10
19 Swindon Town 7 0.3 1.6 -1.3 10
20 Cheltenham 7 0.7 2.2 -1.5 12
21 Gillingham 7 1.8 3.5 -1.7 12
22 Colchester 7 0.5 3.0 -2.5 9
23 Rochdale 7 — — — 7
24 Newport County 7 — — — 6
League Two England. League Two Predictions