Predictions / Football / Norway. Eliteserien / Valerenga vs Aalesund

Prediction Audit: Valerenga vs Aalesund Prediction, Odds & AI Betting Tips

Jul 16, 2026 - 17:00
6 1.29
1 1.25
xG Accuracy: 26%

AI correctly predicted the Valerenga win.

The match finished 6–1, 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 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Vålerenga IF Valerenga ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 6-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Valerenga higher than the statistical model.

Largest probability gap: Valerenga -20.5 pp

Outcome Model Closing Market Difference Signal
Valerenga 35.9% 56.5% -20.5 pp Market Higher
Draw 30.1% 21.8% +8.3 pp Model Higher
Aalesund 34.0% 21.8% +12.3 pp Model Edge

The closing market estimates Valerenga's win probability at 56.5%, compared with the model's estimate of 35.9%, a difference of 20.5 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 (Valerenga win 6–1).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.54) — 7 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 (7 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 Valerenga higher (56.4% vs model 35.9%, 20.5 pp), but the model's lean was validated (Valerenga win 6–1).

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Prediction Timeline

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

  1. Jul 16, 2026 · 16:59 UTC Forecast generated
    • Model 1X2 · Valerenga 36.0% · Draw 30.0% · Aalesund 34.0%
    • xG · Valerenga 1.29 — Aalesund 1.25
  2. Jul 16, 2026 · 16:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Valerenga 1.71 · Draw 4.43 · Aalesund 4.44
    • Implied 1X2 · Valerenga 56.5% · Draw 21.8% · Aalesund 21.8%
    • Bookmaker · Pinnacle
  3. Jul 16, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Valerenga 1.71 · Draw 4.43 · Aalesund 4.44
    • Implied 1X2 · Valerenga 56.5% · Draw 21.8% · Aalesund 21.8%
    • Bookmaker · Pinnacle
  4. Jul 16, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Valerenga win · 6–1
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 53/100 · Moderate
  • Validation: Warning
  • Large market gap (21 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 12:45 UTC Snapshot ID: dp-1596234

Closing Odds 1.71
AI Fair Odds —
CLV Pending
Final Result Valerenga win · Valerenga 6–1 Aalesund
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: Eliteserien
  • Fixture: Vålerenga IF vs Aalesund FK
  • Kickoff: 2026-07-16 17:00:00
  • 1X2 (model): Home 36.0% · Draw 30.0% · Away 34.0%
  • xG (showing): Vålerenga IF 1.29 — Aalesund FK 1.25 (total xG ≈ 2.54)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 53.4% · Over 2.5 46.6%); BTTS Yes (Yes 53.4% · No 46.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.4% · No 46.6%
  • Correct score (top bin): 1-1 (12.7%)

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: Wait

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

October 02, 2026 (UTC)

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Eliteserien Eliteserien — Standings
# TEAM MP W D L PTS
1 Viking 21 16 2 3 50
2 Bodo/Glimt 21 16 2 3 50
3 Tromso 21 11 5 5 38
4 Molde 21 11 3 7 36
5 Rosenborg 21 10 3 8 33
6 Lillestrom 21 10 2 9 32
7 Brann 21 9 2 10 29
8 Fredrikstad 21 8 4 9 28
9 Sarpsborg 08 FF 21 6 7 8 25
10 KFUM Oslo 21 7 4 10 25
11 Sandefjord 21 6 5 10 23
12 Valerenga 21 6 5 10 23
13 Ham-Kam 21 6 5 10 23
14 Aalesund 21 4 9 8 21
15 Kristiansund BK 21 5 4 12 19
16 Start 21 4 4 13 16
# TEAM MP GS GC +/- PTS
1 Viking 21 54 20 +34 50
2 Bodo/Glimt 21 53 19 +34 50
3 Molde 21 44 32 +12 36
4 Tromso 21 40 29 +11 38
5 Rosenborg 21 39 30 +9 33
6 Brann 21 39 32 +7 29
7 Valerenga 21 34 43 -9 23
8 Aalesund 21 33 46 -13 21
9 Ham-Kam 21 29 44 -15 23
10 Lillestrom 21 28 29 -1 32
11 Fredrikstad 21 25 32 -7 28
12 KFUM Oslo 21 25 35 -10 25
13 Sarpsborg 08 FF 21 24 29 -5 25
14 Start 21 22 44 -22 16
15 Sandefjord 21 21 27 -6 23
16 Kristiansund BK 21 21 40 -19 19
# TEAM MP xG xGC +/- PTS
1 Molde 21 17.3 5.4 +11.9 36
2 Bodo/Glimt 21 15.3 4.9 +10.4 50
3 Viking 21 14.1 9.9 +4.2 50
4 Rosenborg 21 13.0 9.7 +3.3 33
5 Start 21 10.6 8.7 +1.9 16
6 Brann 21 8.6 7.3 +1.3 29
7 Sarpsborg 08 FF 21 11.8 11.0 +0.8 25
8 Tromso 21 7.4 7.7 -0.3 38
9 Lillestrom 21 10.1 11.1 -1.0 32
10 Valerenga 21 12.6 14.4 -1.8 23
11 Fredrikstad 21 9.0 12.2 -3.2 28
12 Sandefjord 21 7.1 11.3 -4.2 23
13 Kristiansund BK 21 6.7 11.2 -4.5 19
14 Ham-Kam 21 6.8 12.0 -5.2 23
15 Aalesund 21 9.6 14.9 -5.3 21
16 KFUM Oslo 21 7.6 15.7 -8.1 25