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

Aug 08, 2026 - 11:00
2 1.30
1 1.30
xG Accuracy: 76%

AI correctly predicted the Boden 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 Boden Boden ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The model rates Draw considerably stronger than the closing betting market.

Largest probability gap: Draw +5.4 pp

Outcome Model Closing Market Difference Signal
Boden 35.2% 35.9% -0.7 pp Aligned
Draw 29.6% 24.2% +5.4 pp Model Higher
Täfteå 35.2% 39.9% -4.7 pp Aligned

The statistical model estimates Draw's win probability at 29.6%, compared with the closing market's implied probability of 24.2%, a difference of 5.4 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 (Boden win 2–1).

Market Assessment

The fair estimate shows a modest edge over current market pricing on Draw.

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

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 Boden more conservatively (29.8% vs model 35.2%, 5.4 pp), but the model's lean was validated (Boden win 2–1).

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Prediction Timeline

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

  1. Aug 08, 2026 · 11:06 UTC Forecast generated
    • Model 1X2 · Boden 35.2% · Draw 29.6% · Täfteå 35.2%
    • xG · Boden 1.30 — Täfteå 1.30
  2. Aug 08, 2026 · 10:36 UTC Opening odds snapshot PRE30
    • 1X2 odds · Boden 2.50 · Draw 3.70 · Täfteå 2.25
    • Implied 1X2 · Boden 35.9% · Draw 24.2% · Täfteå 39.9%
    • Bookmaker · Bet365
  3. Aug 08, 2026 · 11:06 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Boden 2.50 · Draw 3.70 · Täfteå 2.25
    • Implied 1X2 · Boden 35.9% · Draw 24.2% · Täfteå 39.9%
    • Bookmaker · Bet365
  4. Aug 08, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Boden 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 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 25/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 02, 2026 · 01:18 UTC Snapshot ID: dp-2812326

Closing Odds 3.7
AI Fair Odds —
CLV Pending
Final Result Boden win · Boden 2–1 Täfteå
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 - Norrland
  • Fixture: Boden vs Täfteå
  • Kickoff: 2026-08-08 11:00:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Boden 1.3 — Täfteå 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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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 30, 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