Predictions / Football / Belgium. Jupiler Pro League / Antwerp vs Waasland-beveren

Prediction Audit: Antwerp vs Waasland-beveren Prediction, Odds & AI Betting Tips

Aug 09, 2026 - 17:15
2 0.74
1 1.86
xG Accuracy: 56%

The model missed the final outcome (Antwerp win 2–1).

The model had projected Waasland-beveren at 51.5%, 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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Waasland-beveren Antwerp ✖ Incorrect
  • Correct Score Insights 0-1, 0-2, 1-1, 1-2, 0-3 2-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The model rates Waasland-beveren considerably stronger than the closing betting market.

Largest probability gap: Waasland-beveren +28.1 pp

Outcome Model Closing Market Difference Signal
Antwerp 20.9% 47.9% -27.0 pp Market Higher
Draw 27.6% 28.6% -1.1 pp Aligned
Waasland-beveren 51.5% 23.5% +28.1 pp Model Edge

The statistical model estimates Waasland-beveren's win probability at 51.5%, compared with the closing market's implied probability of 23.5%, a difference of 28.1 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 Antwerp win 2–1.

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

Market lesson

The closing market differed from the model on Waasland-beveren by 28.1 percentage points (23.4% vs model 51.5%) — 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. Aug 09, 2026 · 19:26 UTC Forecast generated
    • Model 1X2 · Antwerp 20.9% · Draw 27.6% · Waasland-beveren 51.5%
    • xG · Antwerp 0.74 — Waasland-beveren 1.86
  2. Aug 09, 2026 · 16:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Antwerp 2.01 · Draw 3.36 · Waasland-beveren 4.10
    • Implied 1X2 · Antwerp 47.9% · Draw 28.6% · Waasland-beveren 23.5%
    • Bookmaker · Pinnacle
  3. Aug 09, 2026 · 17:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Antwerp 2.01 · Draw 3.36 · Waasland-beveren 4.10
    • Implied 1X2 · Antwerp 47.9% · Draw 28.6% · Waasland-beveren 23.5%
    • Bookmaker · Pinnacle
  4. Aug 09, 2026 · 17:15 UTC Kickoff
  5. FT Full-time result Antwerp win · 2–1
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 49/100 · Moderate
  • Validation: Warning
  • Large market gap (28 pp)
Evidence ★★★★★
  • Strong model lean
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 13/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 04, 2026 · 06:55 UTC Snapshot ID: dp-2979695

Closing Odds 4.1
AI Fair Odds 1.6
CLV Pending
Final Result Antwerp win · Antwerp 2–1 Waasland-beveren
Prediction ✖ Missed
Decision Grade F

Probability Calibration

  • Expected: 62.6%
  • Historical Bucket: 60–65% — Building sample

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: Jupiler Pro League
  • Fixture: Antwerp vs Waasland-beveren
  • Kickoff: 2026-08-09 17:15:00
  • 1X2 (model): Home 50.0% · Draw 50.0% · Away 0.0%
  • xG (showing): Antwerp 0.74 — Waasland-beveren 1.86 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Wait

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 29, 2026 (UTC)

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Jupiler Pro League Jupiler Pro League — Standings
# TEAM MP W D L PTS
1 Union St. Gilloise 7 6 1 0 19
2 Gent 7 6 1 0 19
3 Club Brugge KV 7 6 0 1 18
4 Charleroi 7 6 0 1 18
5 Anderlecht 7 4 1 2 13
6 Zulte Waregem 7 3 2 2 11
7 Standard Liege 7 3 2 2 11
8 KVC Westerlo 7 3 1 3 10
9 Waasland-beveren 7 3 0 4 9
10 Genk 7 2 3 2 9
11 St. Truiden 7 2 2 3 8
12 Lommel United 7 2 2 3 8
13 Antwerp 7 2 1 4 7
14 RAAL La Louvière 7 1 1 5 4
15 OH Leuven 7 1 1 5 4
16 Kortrijk 7 1 0 6 3
17 Cercle Brugge 7 0 3 4 3
18 KV Mechelen 7 0 3 4 3
# TEAM MP GS GC +/- PTS
1 Union St. Gilloise 7 21 3 +18 19
2 Club Brugge KV 7 15 3 +12 18
3 Charleroi 7 15 7 +8 18
4 KVC Westerlo 7 15 16 -1 10
5 Gent 7 13 4 +9 19
6 Standard Liege 7 13 12 +1 11
7 Genk 7 13 12 +1 9
8 St. Truiden 7 12 12 0 8
9 Antwerp 7 11 15 -4 7
10 Zulte Waregem 7 10 7 +3 11
11 Cercle Brugge 7 8 14 -6 3
12 Anderlecht 7 7 5 +2 13
13 Waasland-beveren 7 7 11 -4 9
14 RAAL La Louvière 7 7 14 -7 4
15 Lommel United 7 6 8 -2 8
16 OH Leuven 7 5 13 -8 4
17 KV Mechelen 7 5 14 -9 3
18 Kortrijk 7 2 15 -13 3
# TEAM MP xG xGC +/- PTS
1 Genk 7 9.1 2.7 +6.4 9
2 Club Brugge KV 7 8.9 3.9 +5.0 18
3 Charleroi 7 7.5 3.1 +4.4 18
4 Union St. Gilloise 7 6.8 3.9 +2.9 19
5 Gent 7 4.9 2.0 +2.9 19
6 Anderlecht 7 5.5 3.0 +2.5 13
7 Zulte Waregem 7 6.8 4.9 +1.9 11
8 Lommel United 7 4.8 5.1 -0.3 8
9 Standard Liege 7 6.8 7.2 -0.4 11
10 St. Truiden 7 8.2 8.9 -0.7 8
11 KV Mechelen 7 5.4 6.4 -1.0 3
12 Cercle Brugge 7 8.1 9.3 -1.2 3
13 Antwerp 7 4.9 6.4 -1.5 7
14 RAAL La Louvière 7 4.5 7.5 -3.0 4
15 Kortrijk 7 3.5 7.6 -4.1 3
16 Waasland-beveren 7 5.7 9.9 -4.2 9
17 KVC Westerlo 7 4.4 8.9 -4.5 10
18 OH Leuven 7 4.8 10.1 -5.3 4