Predictions / Football / Norway. 1. Division / Sandnes ULF vs Moss

Prediction Audit: Sandnes ULF vs Moss Prediction, Odds & AI Betting Tips

Sandnes ULF Sandnes ULF
Sep 20, 2026 - 15:00
1 1.20
2 1.40
xG Accuracy: 80%
Moss Moss

AI correctly predicted the Moss win.

The match finished 1–2, validating the model's directional assessment.

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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Moss Moss ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Sandnes ULF higher than the statistical model.

Largest probability gap: Sandnes ULF -12.9 pp

Outcome Model Closing Market Difference Signal
Sandnes ULF 30.6% 43.5% -12.9 pp Market Higher
Draw 29.5% 24.9% +4.5 pp Aligned
Moss 39.9% 31.6% +8.4 pp Model Higher

The closing market estimates Sandnes ULF's win probability at 43.5%, compared with the model's estimate of 30.6%, a difference of 12.9 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 (Moss win 1–2).

Market Assessment

The market is materially more optimistic about Sandnes ULF 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
  • Exact score 1–2 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • 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 Moss higher (52.8% vs model 39.9%, 12.9 pp), but the model's lean was validated (Moss win 1–2).

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. Sep 20, 2026 · 14:58 UTC Forecast generated
    • Model 1X2 · Sandnes ULF 30.6% · Draw 29.5% · Moss 40.0%
    • xG · Sandnes ULF 1.20 — Moss 1.40
  2. Sep 20, 2026 · 14:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sandnes ULF 2.19 · Draw 3.82 · Moss 3.02
    • Implied 1X2 · Sandnes ULF 43.5% · Draw 24.9% · Moss 31.6%
    • Bookmaker · Pinnacle
  3. Sep 20, 2026 · 14:58 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Sandnes ULF 2.19 · Draw 3.82 · Moss 3.02
    • Implied 1X2 · Sandnes ULF 43.5% · Draw 24.9% · Moss 31.6%
    • Bookmaker · Pinnacle
  4. Sep 20, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Moss win · 1–2
  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 57/100 · 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) 12/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 02:07 UTC Snapshot ID: dp-8684026

Closing Odds 2.19
AI Fair Odds —
CLV Pending
Final Result Moss win · Sandnes ULF 1–2 Moss
Prediction ✔ Correct
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

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

  • League: 1. Division
  • Fixture: Sandnes ULF vs Moss
  • Kickoff: 2026-09-20 15:00:00
  • 1X2 (model): Home 30.6% · Draw 29.5% · Away 40.0%
  • xG (showing): Sandnes ULF 1.2 — Moss 1.4 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS No
  • Model: 45.7% · Implied: 34.3% · Probability edge: +11.4 pts · Est. EV: +28.0%
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

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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Back to Predictions
1. Division 1. Division — Standings
# TEAM MP W D L PTS
1 Haugesund 23 17 1 5 52
2 Kongsvinger 23 15 5 3 50
3 Stromsgodset 23 14 6 3 48
4 Stabaek 23 14 3 6 45
5 ODD Ballklubb 23 10 6 7 36
6 Bryne 23 11 2 10 35
7 hodd 23 10 4 9 34
8 Egersund 23 8 5 10 29
9 Ranheim 23 8 4 11 28
10 Lyn 23 8 4 11 28
11 Moss 23 7 4 12 25
12 Strommen 23 7 4 12 25
13 Sandnes ULF 23 7 3 13 24
14 Sogndal 23 6 5 12 23
15 Asane 23 5 5 13 20
16 Raufoss 23 6 1 16 19
# TEAM MP GS GC +/- PTS
1 Haugesund 23 72 39 +33 52
2 Kongsvinger 23 68 35 +33 50
3 Stromsgodset 23 60 31 +29 48
4 Stabaek 23 57 29 +28 45
5 Ranheim 23 56 58 -2 28
6 ODD Ballklubb 23 47 36 +11 36
7 Lyn 23 39 48 -9 28
8 hodd 23 38 45 -7 34
9 Moss 23 38 52 -14 25
10 Sogndal 23 38 53 -15 23
11 Egersund 23 36 44 -8 29
12 Strommen 23 35 52 -17 25
13 Asane 23 34 52 -18 20
14 Bryne 23 32 31 +1 35
15 Sandnes ULF 23 32 42 -10 24
16 Raufoss 23 26 61 -35 19
1. Division Norway. 1. Division Predictions