Predictions / Football / Norway. Eliteserien / Valerenga vs Ham-Kam

Prediction Audit: Valerenga vs Ham-Kam Prediction, Odds & AI Betting Tips

Valerenga Valerenga
Jul 31, 2026 - 17:00
0 2.44
3 1.23
xG Accuracy: 31%
Ham-Kam Ham-Kam

The model missed the final outcome (Ham-Kam win 0–3).

The model had projected Valerenga at 61.7%, 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 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Valerenga Ham-Kam ✖ Incorrect
  • Correct Score Insights 2-1, 1-1, 3-1, 2-0, 1-0 0-3 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Valerenga +2.4 pp

Outcome Model Closing Market Difference Signal
Valerenga 61.7% 59.2% +2.4 pp Aligned
Draw 20.8% 21.9% -1.0 pp Aligned
Ham-Kam 17.5% 18.9% -1.4 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 result was Ham-Kam win 0–3.

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

  • Expected goals projected a high-scoring match (ΣxG 3.67) — 3 goals materialised
  • Over 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Valerenga; match finished Ham-Kam

Market lesson

The full-time result was Ham-Kam win 0–3, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Jul 31, 2026 · 19:14 UTC Forecast generated
    • Model 1X2 · Valerenga 61.7% · Draw 20.8% · Ham-Kam 17.5%
    • xG · Valerenga 2.44 — Ham-Kam 1.23
  2. Jul 31, 2026 · 16:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Valerenga 1.63 · Draw 4.42 · Ham-Kam 5.11
    • Implied 1X2 · Valerenga 59.2% · Draw 21.9% · Ham-Kam 18.9%
    • Bookmaker · Pinnacle
  3. Jul 31, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Valerenga 1.63 · Draw 4.42 · Ham-Kam 5.11
    • Implied 1X2 · Valerenga 59.2% · Draw 21.9% · Ham-Kam 18.9%
    • Bookmaker · Pinnacle
  4. Jul 31, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Ham-Kam win · 0–3
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 66/100 · Moderate
  • Validation: Pass
  • High xG deviation from league baseline (81%+)
Evidence ★★★★★
  • Strong model lean
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 87/100
Betting Confidence 69/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 03:10 UTC Snapshot ID: dp-1673327

Closing Odds 1.63
AI Fair Odds —
CLV Pending
Final Result Ham-Kam win · Valerenga 0–3 Ham-Kam
Prediction ✖ Missed
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

Quick read on how the model reads this matchup.

  • League: Eliteserien
  • Fixture: Valerenga vs Ham-Kam
  • Kickoff: 2026-07-31 17:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Valerenga 2.44 — Ham-Kam 1.23 (total xG ≈ 3.67)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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: No Primary Bet

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 28, 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