Prediction Audit: Lindome vs Jonsered Prediction, Odds & AI Betting Tips

Jul 31, 2026 - 17:00
2 1.30
3 1.30
xG Accuracy: 52%

The model missed the final outcome (Jonsered win 2–3).

The model had projected Lindome at 35.2%, 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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Lindome Jonsered ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Lindome higher than the statistical model.

Largest probability gap: Lindome -13.1 pp

Outcome Model Closing Market Difference Signal
Lindome 35.2% 48.2% -13.1 pp Market Higher
Draw 29.6% 23.7% +6.0 pp Model Higher
Jonsered 35.2% 28.1% +7.1 pp Model Higher

The closing market estimates Lindome's win probability at 48.2%, compared with the model's estimate of 35.2%, a difference of 13.1 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 Jonsered win 2–3.

Market Assessment

The market is materially more optimistic about Lindome 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) — 5 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 (5 goals)
  • 1X2: model leaned Lindome; match finished Jonsered

Market lesson

The closing market differed from the model on Lindome by 13.1 percentage points (48.3% vs model 35.2%) — 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. Jul 31, 2026 · 17:00 UTC Forecast generated
    • Model 1X2 · Lindome 35.2% · Draw 29.6% · Jonsered 35.2%
    • xG · Lindome 1.30 — Jonsered 1.30
  2. Jul 31, 2026 · 16:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Lindome 1.84 · Draw 3.75 · Jonsered 3.16
    • Implied 1X2 · Lindome 48.2% · Draw 23.7% · Jonsered 28.1%
    • Bookmaker · Pinnacle
  3. Jul 31, 2026 · 17:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Lindome 1.84 · Draw 3.75 · Jonsered 3.16
    • Implied 1X2 · Lindome 48.2% · Draw 23.7% · Jonsered 28.1%
    • Bookmaker · Pinnacle
  4. Jul 31, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Jonsered win · 2–3
  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 56/100 · 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) 34/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 03:19 UTC Snapshot ID: dp-1673653

Closing Odds 1.84
AI Fair Odds —
CLV Pending
Final Result Jonsered win · Lindome 2–3 Jonsered
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 - Västra Götaland
  • Fixture: Lindome vs Jonsered
  • Kickoff: 2026-07-31 17:00:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Lindome 1.3 — Jonsered 1.3 (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 (12.6%)

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: 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 - Västra Götaland Division 2 - Västra Götaland — Standings
# TEAM MP W D L PTS
1 Landvetter IS 23 16 3 4 51
2 Dalstorps 23 12 7 4 43
3 Hestrafor 23 12 5 6 41
4 Jonsered 23 11 6 6 39
5 Lindome 23 10 4 9 34
6 Böljan 23 9 7 7 34
7 Västra Frölunda 22 9 6 7 33
8 Qviding FIF 22 9 4 9 31
9 Onsala 22 7 6 9 27
10 Kongahälla 23 7 6 10 27
11 Åstorp 22 7 5 10 26
12 Torslanda 23 6 7 10 25
13 Galtabacks 23 5 5 13 20
14 Astrio 23 2 3 18 9
# TEAM MP GS GC +/- PTS
1 Hestrafor 23 48 38 +10 41
2 Dalstorps 23 44 25 +19 43
3 Lindome 23 42 37 +5 34
4 Västra Frölunda 22 42 38 +4 33
5 Qviding FIF 22 42 42 0 31
6 Landvetter IS 23 41 19 +22 51
7 Jonsered 23 39 37 +2 39
8 Torslanda 23 37 42 -5 25
9 Böljan 23 36 31 +5 34
10 Galtabacks 23 35 42 -7 20
11 Kongahälla 23 35 43 -8 27
12 Onsala 22 31 35 -4 27
13 Åstorp 22 28 36 -8 26
14 Astrio 23 21 56 -35 9