Prediction Audit: Täby vs Franke Prediction, Odds & AI Betting Tips

Aug 28, 2026 - 17:00
2 1.35
1 1.25
xG Accuracy: 78%

AI correctly predicted the Täby 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 Täby Täby ✔ 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 Täby higher than the statistical model.

Largest probability gap: Täby -19.6 pp

Outcome Model Closing Market Difference Signal
Täby 37.5% 57.2% -19.6 pp Market Higher
Draw 29.6% 22.3% +7.3 pp Model Higher
Franke 32.9% 20.5% +12.3 pp Model Edge

The closing market estimates Täby's win probability at 57.2%, compared with the model's estimate of 37.5%, a difference of 19.6 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 model's directional lean matched the result (Täby win 2–1).

Market Assessment

The market is materially more optimistic about Täby 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 Täby higher (57.1% vs model 37.5%, 19.6 pp), but the model's lean was validated (Täby win 2–1).

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

  1. Aug 28, 2026 · 16:55 UTC Forecast generated
    • Model 1X2 · Täby 37.6% · Draw 29.6% · Franke 32.9%
    • xG · Täby 1.35 — Franke 1.25
  2. Aug 28, 2026 · 16:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Täby 1.55 · Draw 3.97 · Franke 4.32
    • Implied 1X2 · Täby 57.2% · Draw 22.3% · Franke 20.5%
    • Bookmaker · Pinnacle
  3. Aug 28, 2026 · 16:55 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Täby 1.55 · Draw 3.97 · Franke 4.32
    • Implied 1X2 · Täby 57.2% · Draw 22.3% · Franke 20.5%
    • Bookmaker · Pinnacle
  4. Aug 28, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Täby 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 53/100 · Moderate
  • Validation: Warning
  • Large market gap (20 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 1/100
Betting Confidence 42/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 22, 2026 · 02:59 UTC Snapshot ID: dp-4932976

Closing Odds 1.55
AI Fair Odds —
CLV Pending
Final Result Täby win · Täby 2–1 Franke
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 Svealand
  • Fixture: Täby vs Franke
  • Kickoff: 2026-08-28 17:00:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): Täby 1.35 — Franke 1.25 (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 (12.5%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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)

Get Premium Predictions for Täby & Franke!

Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.

Subscribe Now
Back to Predictions
Division 2 - Norra Svealand Division 2 - Norra Svealand — Standings
# TEAM MP W D L PTS
1 Skiljebo 23 16 5 2 53
2 Sunnersta 23 15 5 3 50
3 Angby 22 13 6 3 45
4 Enskede 22 13 4 5 43
5 Falu BS 22 12 5 5 41
6 Täby 23 11 5 7 38
7 Gute 23 9 5 9 32
8 Bollstanäs 22 7 7 8 28
9 Franke 22 7 4 11 25
10 Lidingö 23 5 5 13 20
11 Kungsängen 22 3 10 9 19
12 Viggbyholms IK 23 5 4 14 19
13 Korsnäs 23 3 5 15 14
14 Helges 23 2 4 17 10
# TEAM MP GS GC +/- PTS
1 Sunnersta 23 57 19 +38 50
2 Skiljebo 23 54 24 +30 53
3 Angby 22 46 25 +21 45
4 Täby 23 39 25 +14 38
5 Bollstanäs 22 38 42 -4 28
6 Gute 23 37 33 +4 32
7 Enskede 22 36 23 +13 43
8 Falu BS 22 35 25 +10 41
9 Franke 22 35 39 -4 25
10 Lidingö 23 26 48 -22 20
11 Kungsängen 22 24 34 -10 19
12 Korsnäs 23 24 54 -30 14
13 Viggbyholms IK 23 23 46 -23 19
14 Helges 23 20 57 -37 10