Predictions / Football / Norway. Eliteserien / Aalesund vs Viking

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

Aalesund Aalesund
Jul 26, 2026 - 17:15
1 1.96
1 1.38
xG Accuracy: 69%
Viking Viking

The model missed the final outcome (Draw 1–1).

The model had projected Aalesund at 42.7%, but the full-time result went the other way.

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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Aalesund Draw ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Viking higher than the statistical model.

Largest probability gap: Viking -31.1 pp

Outcome Model Closing Market Difference Signal
Aalesund 42.7% 17.1% +25.6 pp Model Edge
Draw 24.9% 19.4% +5.6 pp Model Higher
Viking 32.4% 63.5% -31.1 pp Market Higher

The closing market estimates Viking's win probability at 63.5%, compared with the model's estimate of 32.4%, a difference of 31.1 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 result was Draw 1–1.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned Aalesund; match finished Draw

Market lesson

The closing market differed from the model on Aalesund by 31.1 percentage points (73.8% vs model 42.7%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Jul 26, 2026 · 20:14 UTC Forecast generated
    • Model 1X2 · Aalesund 42.8% · Draw 24.9% · Viking 32.4%
    • xG · Aalesund 1.96 — Viking 1.38
  2. Jul 26, 2026 · 16:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · Aalesund 5.63 · Draw 4.99 · Viking 1.52
    • Implied 1X2 · Aalesund 17.1% · Draw 19.4% · Viking 63.5%
    • Bookmaker · Pinnacle
  3. Jul 26, 2026 · 17:14 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Aalesund 5.63 · Draw 4.99 · Viking 1.52
    • Implied 1X2 · Aalesund 17.1% · Draw 19.4% · Viking 63.5%
    • Bookmaker · Pinnacle
  4. Jul 26, 2026 · 17:15 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  6. FT Prediction missed 1X2 lean did not match 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 Missed
Pre-match metrics (historical context)
Prediction Reliability 33/100 · Low
  • Validation: Fail
  • Large market gap (31 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 9/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:59 UTC Snapshot ID: dp-1454474

Closing Odds 1.52
AI Fair Odds 1.74
CLV Pending
Final Result Draw · Aalesund 1–1 Viking
Prediction ✖ Missed
Decision Grade F

Probability Calibration

  • Expected: 57.5%
  • Historical Bucket: 55–60% — Building sample

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

Model favours Aalesund; market prices Viking instead — inputs may be missing or stale.

  • Model: Aalesund 1.96 xG vs Viking 1.38 → Aalesund 42.7%
  • Market: Viking ~17.1% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Historical Recommendation

Historical Decision: Wait

Outcome: Missed — Pre-match 1X2 lean did not match 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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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