Prediction Audit: Ahlafors vs Kumla Prediction, Odds & AI Betting Tips

Aug 29, 2026 - 12:00
7 1.38
1 1.22
xG Accuracy: 20%

AI correctly predicted the Ahlafors win.

The match finished 7–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 (8 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Ahlafors Ahlafors ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 7-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Ahlafors higher than the statistical model.

Largest probability gap: Ahlafors -20.5 pp

Outcome Model Closing Market Difference Signal
Ahlafors 39.0% 59.5% -20.5 pp Market Higher
Draw 29.5% 21.8% +7.8 pp Model Higher
Kumla 31.5% 18.8% +12.7 pp Model Edge

The closing market estimates Ahlafors's win probability at 59.5%, compared with the model's estimate of 39.0%, a difference of 20.5 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: PRE5.

After full time, the model's directional lean matched the result (Ahlafors win 7–1).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 8 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (8 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Ahlafors higher (59.5% vs model 39.0%, 20.5 pp), but the model's lean was validated (Ahlafors win 7–1).

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Prediction Timeline

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

  1. Aug 29, 2026 · 11:55 UTC Forecast generated
    • Model 1X2 · Ahlafors 39.0% · Draw 29.5% · Kumla 31.5%
    • xG · Ahlafors 1.38 — Kumla 1.22
  2. Aug 29, 2026 · 11:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Ahlafors 1.50 · Draw 4.10 · Kumla 4.75
    • Implied 1X2 · Ahlafors 59.5% · Draw 21.8% · Kumla 18.8%
    • Bookmaker · Bet365
  3. Aug 29, 2026 · 11:55 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Ahlafors 1.50 · Draw 4.10 · Kumla 4.75
    • Implied 1X2 · Ahlafors 59.5% · Draw 21.8% · Kumla 18.8%
    • Bookmaker · Bet365
  4. Aug 29, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Ahlafors win · 7–1
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 53/100 · Moderate
  • Validation: Warning
  • Large market gap (20 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 23, 2026 · 01:46 UTC Snapshot ID: dp-5128397

Closing Odds 1.5
AI Fair Odds —
CLV Pending
Final Result Ahlafors win · Ahlafors 7–1 Kumla
Prediction ✔ Correct
Decision Grade B-

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: Division 2 - Norra Götaland
  • Fixture: Ahlafors vs Kumla
  • Kickoff: 2026-08-29 12:00:00
  • 1X2 (model): Home 39.0% · Draw 29.5% · Away 31.5%
  • xG (showing): Ahlafors 1.38 — Kumla 1.22 (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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • 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: Wait

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 30, 2026 (UTC)

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Division 2 - Norra Götaland Division 2 - Norra Götaland — Standings
# TEAM MP W D L PTS
1 Husqvarna 23 19 3 1 60
2 Skara 23 15 5 3 50
3 IFK Skövde 22 12 5 5 41
4 Ahlafors 23 11 7 5 40
5 Grebbestad 23 12 3 8 39
6 Herrestads 22 9 7 6 34
7 Stenungsund 22 8 6 8 30
8 Vänersborgs FK 23 8 4 11 28
9 Kumla 23 6 7 10 25
10 Lidköping 23 6 6 11 24
11 Motala 22 5 8 9 23
12 Tord 22 3 9 10 18
13 IF Karlstad II 22 2 7 13 13
14 Vänersborgs IF 23 2 3 18 9
# TEAM MP GS GC +/- PTS
1 Husqvarna 23 54 18 +36 60
2 Ahlafors 23 49 26 +23 40
3 Skara 23 48 25 +23 50
4 Grebbestad 23 42 33 +9 39
5 Herrestads 22 41 38 +3 34
6 IFK Skövde 22 38 25 +13 41
7 Stenungsund 22 38 29 +9 30
8 Vänersborgs FK 23 30 39 -9 28
9 Motala 22 29 32 -3 23
10 Lidköping 23 28 42 -14 24
11 Tord 22 25 37 -12 18
12 Vänersborgs IF 23 24 65 -41 9
13 IF Karlstad II 22 23 43 -20 13
14 Kumla 23 22 39 -17 25