Prediction Audit: Torns vs Berga Prediction, Odds & AI Betting Tips

Aug 15, 2026 - 12:00
3 1.31
4 1.29
xG Accuracy: 30%

The model missed the final outcome (Berga win 3–4).

The model had projected Torns at 35.6%, 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 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Torns Berga ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-4 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Berga higher than the statistical model.

Largest probability gap: Berga -18.5 pp

Outcome Model Closing Market Difference Signal
Torns 35.6% 22.9% +12.7 pp Model Edge
Draw 29.6% 23.9% +5.8 pp Model Higher
Berga 34.7% 53.2% -18.5 pp Market Higher

The closing market estimates Berga's win probability at 53.2%, compared with the model's estimate of 34.7%, a difference of 18.5 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 result was Berga win 3–4.

Market Assessment

The market is materially more optimistic about Berga 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 7 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 (7 goals)
  • 1X2: model leaned Torns; match finished Berga

Market lesson

The closing market differed from the model on Torns by 18.5 percentage points (54.1% vs model 35.6%) — 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 15, 2026 · 11:56 UTC Forecast generated
    • Model 1X2 · Torns 35.6% · Draw 29.7% · Berga 34.7%
    • xG · Torns 1.31 — Berga 1.29
  2. Aug 15, 2026 · 11:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Torns 3.88 · Draw 3.72 · Berga 1.67
    • Implied 1X2 · Torns 22.9% · Draw 23.9% · Berga 53.2%
    • Bookmaker · Pinnacle
  3. Aug 15, 2026 · 11:56 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Torns 3.88 · Draw 3.72 · Berga 1.67
    • Implied 1X2 · Torns 22.9% · Draw 23.9% · Berga 53.2%
    • Bookmaker · Pinnacle
  4. Aug 15, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Berga win · 3–4
  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 54/100 · Moderate
  • Validation: Warning
  • Large market gap (19 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 2/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 09, 2026 · 01:32 UTC Snapshot ID: dp-3343898

Closing Odds 1.67
AI Fair Odds —
CLV Pending
Final Result Berga win · Torns 3–4 Berga
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: Division 2 - Södra Götaland
  • Fixture: Torns vs Berga
  • Kickoff: 2026-08-15 12:00:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): Torns 1.31 — Berga 1.29 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +0.8%, still below the +2.0% minimum for a headline / default stake (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 (12.6%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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: 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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Division 2 - Södra Götaland Division 2 - Södra Götaland — Standings
# TEAM MP W D L PTS
1 Karlskrona 23 18 3 2 57
2 IFK Trelleborg 23 14 5 4 47
3 Oskarshamns AIK 23 13 3 7 42
4 Berga 22 11 4 7 37
5 Nosaby 23 10 6 7 36
6 Linero 22 11 2 9 35
7 Växjö Norra 23 9 8 6 35
8 Österlen 22 8 5 9 29
9 Lilla Torg 22 6 9 7 27
10 Sölvesborg 22 8 1 13 25
11 Staffanstorp United 23 5 8 10 23
12 Torns 22 7 0 15 21
13 Räppe 23 4 6 13 18
14 Karlshamn 23 3 2 18 11
# TEAM MP GS GC +/- PTS
1 Karlskrona 23 61 20 +41 57
2 Oskarshamns AIK 23 58 30 +28 42
3 IFK Trelleborg 23 49 23 +26 47
4 Berga 22 47 33 +14 37
5 Nosaby 23 42 37 +5 36
6 Linero 22 39 38 +1 35
7 Österlen 22 34 35 -1 29
8 Staffanstorp United 23 33 41 -8 23
9 Sölvesborg 22 32 40 -8 25
10 Växjö Norra 23 31 31 0 35
11 Torns 22 30 59 -29 21
12 Lilla Torg 22 28 35 -7 27
13 Räppe 23 25 51 -26 18
14 Karlshamn 23 24 60 -36 11