Prediction Audit: Täfteå vs Gottne Prediction, Odds & AI Betting Tips

Aug 01, 2026 - 11:00
3 1.30
1 1.30
xG Accuracy: 58%

AI correctly predicted the Täfteå win.

The match finished 3–1, 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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Täfteå Täfteå ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-1 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Täfteå higher than the statistical model.

Largest probability gap: Täfteå -5.8 pp

Outcome Model Closing Market Difference Signal
Täfteå 35.2% 41.0% -5.8 pp Market Higher
Draw 29.6% 26.2% +3.5 pp Aligned
Gottne 35.2% 32.8% +2.3 pp Aligned

The closing market estimates Täfteå's win probability at 41.0%, compared with the model's estimate of 35.2%, a difference of 5.8 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 (Täfteå win 3–1).

Market Assessment

The market and model broadly agree on Täfteå. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 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 (4 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 Täfteå higher (41.0% vs model 35.2%, 5.8 pp), but the model's lean was validated (Täfteå win 3–1).

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Prediction Timeline

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

  1. Aug 01, 2026 · 11:03 UTC Forecast generated
    • Model 1X2 · Täfteå 35.2% · Draw 29.6% · Gottne 35.2%
    • xG · Täfteå 1.30 — Gottne 1.30
  2. Aug 01, 2026 · 10:35 UTC Opening odds snapshot PRE30
    • 1X2 odds · Täfteå 2.17 · Draw 3.40 · Gottne 2.71
    • Implied 1X2 · Täfteå 41.0% · Draw 26.2% · Gottne 32.8%
    • Bookmaker · Pinnacle
  3. Aug 01, 2026 · 11:03 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Täfteå 2.17 · Draw 3.40 · Gottne 2.71
    • Implied 1X2 · Täfteå 41.0% · Draw 26.2% · Gottne 32.8%
    • Bookmaker · Pinnacle
  4. Aug 01, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Täfteå win · 3–1
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 70/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 02:03 UTC Snapshot ID: dp-1792864

Closing Odds 2.17
AI Fair Odds —
CLV Pending
Final Result Täfteå win · Täfteå 3–1 Gottne
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

Quick read on how the model reads this matchup.

  • League: Division 2 - Norrland
  • Fixture: Täfteå vs Gottne
  • Kickoff: 2026-08-01 11:00:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Täfteå 1.3 — Gottne 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%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

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 29, 2026 (UTC)

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Division 2 - Norrland Division 2 - Norrland — Standings
# TEAM MP W D L PTS
1 Skellefteå 12 8 3 1 27
1 Kubikenborg 12 7 2 3 23
2 Täfteå 12 8 1 3 25
2 Gottne 12 7 2 3 23
3 IFK Luleå 12 8 1 3 25
3 Lucksta 12 5 3 4 18
4 Boden 12 4 5 3 17
4 IFK Östersund 12 4 5 3 17
5 Umeå FC Akademi 12 2 5 5 11
5 Friska Viljor 12 2 6 4 12
6 Storfors 12 2 2 8 8
6 Team Thoren 12 2 5 5 11
7 IFK Umeå 12 1 1 10 4
7 Fransta 12 2 3 7 9
# TEAM MP GS GC +/- PTS
1 Täfteå 12 34 13 +21 25
2 IFK Luleå 12 32 14 +18 25
3 Gottne 12 29 24 +5 23
4 Skellefteå 12 26 8 +18 27
5 Lucksta 12 26 26 0 18
6 Kubikenborg 12 25 16 +9 23
7 IFK Östersund 12 23 20 +3 17
8 Friska Viljor 12 23 21 +2 12
9 Team Thoren 12 22 26 -4 11
10 Umeå FC Akademi 12 17 29 -12 11
11 Fransta 12 17 32 -15 9
12 Boden 12 15 14 +1 17
13 Storfors 12 14 32 -18 8
14 IFK Umeå 12 10 38 -28 4