Prediction Audit: Skara vs Tord Prediction, Odds & AI Betting Tips

Aug 22, 2026 - 12:00
2 1.40
1 1.20
xG Accuracy: 80%

AI correctly predicted the Skara win.

The match finished 2–1, 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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Skara Skara ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Skara higher than the statistical model.

Largest probability gap: Skara -18.4 pp

Outcome Model Closing Market Difference Signal
Skara 39.9% 58.4% -18.4 pp Market Higher
Draw 29.5% 21.8% +7.7 pp Model Higher
Tord 30.6% 19.9% +10.7 pp Model Edge

The closing market estimates Skara's win probability at 58.4%, compared with the model's estimate of 39.9%, a difference of 18.4 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 model's directional lean matched the result (Skara win 2–1).

Market Assessment

The market is materially more optimistic about Skara 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) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Skara higher (58.3% vs model 39.9%, 18.4 pp), but the model's lean was validated (Skara win 2–1).

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Prediction Timeline

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

  1. Aug 22, 2026 · 11:59 UTC Forecast generated
    • Model 1X2 · Skara 40.0% · Draw 29.5% · Tord 30.6%
    • xG · Skara 1.40 — Tord 1.20
  2. Aug 22, 2026 · 11:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · Skara 1.53 · Draw 4.10 · Tord 4.50
    • Implied 1X2 · Skara 58.4% · Draw 21.8% · Tord 19.9%
    • Bookmaker · Bet365
  3. Aug 22, 2026 · 11:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Skara 1.53 · Draw 4.10 · Tord 4.50
    • Implied 1X2 · Skara 58.4% · Draw 21.8% · Tord 19.9%
    • Bookmaker · Bet365
  4. Aug 22, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Skara win · 2–1
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 54/100 · Moderate
  • Validation: Warning
  • Large market gap (18 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 7/100
Betting Confidence 43/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 16, 2026 · 01:22 UTC Snapshot ID: dp-4216938

Closing Odds 1.53
AI Fair Odds —
CLV Pending
Final Result Skara win · Skara 2–1 Tord
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Division 2 - Norra Götaland
  • Fixture: Skara vs Tord
  • Kickoff: 2026-08-22 12:00:00
  • 1X2 (model): Home 40.0% · Draw 29.5% · Away 30.6%
  • xG (showing): Skara 1.4 — Tord 1.2 (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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

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: 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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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