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

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

Egersund Egersund
Aug 02, 2026 - 15:00
2 1.56
0 1.04
xG Accuracy: 67%
Sandnes ULF Sandnes ULF

AI correctly predicted the Egersund win.

The match finished 2–0, 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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Egersund Egersund ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 2-0 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Draw +4.0 pp

Outcome Model Closing Market Difference Signal
Egersund 47.8% 51.7% -3.9 pp Aligned
Draw 28.5% 24.5% +4.0 pp Aligned
Sandnes ULF 23.7% 23.8% -0.1 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 (Egersund win 2–0).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Egersund attacking xG significantly stronger (1.56 vs 1.04)
  • Under 2.5 goals aligned with the xG profile
  • Exact score 2–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

The model's directional lean matched the full-time result (Egersund win 2–0).

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Prediction Timeline

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

  1. Aug 02, 2026 · 14:59 UTC Forecast generated
    • Model 1X2 · Egersund 47.8% · Draw 28.5% · Sandnes ULF 23.7%
    • xG · Egersund 1.56 — Sandnes ULF 1.04
  2. Aug 02, 2026 · 14:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Egersund 1.84 · Draw 3.89 · Sandnes ULF 4.00
    • Implied 1X2 · Egersund 51.7% · Draw 24.5% · Sandnes ULF 23.8%
    • Bookmaker · Pinnacle
  3. Aug 02, 2026 · 14:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Egersund 1.84 · Draw 3.89 · Sandnes ULF 4.00
    • Implied 1X2 · Egersund 51.7% · Draw 24.5% · Sandnes ULF 23.8%
    • Bookmaker · Pinnacle
  4. Aug 02, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Egersund win · 2–0
  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 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 80/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 01:32 UTC Snapshot ID: dp-1949906

Closing Odds 3.89
AI Fair Odds —
CLV Pending
Final Result Egersund win · Egersund 2–0 Sandnes ULF
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: 1. Division
  • Fixture: Egersund vs Sandnes ULF
  • Kickoff: 2026-08-02 15:00:00
  • 1X2 (model): Home 47.8% · Draw 28.5% · Away 23.7%
  • xG (showing): Egersund 1.56 — Sandnes ULF 1.04 (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 52.6% · No 47.4%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 52.6% · No 47.4%
  • Correct score (top bin): 1-1 (12.1%)

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: 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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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