Predictions / Football / Norway. Eliteserien / Bodo/Glimt vs Ham-Kam

Prediction Audit: Bodo/Glimt vs Ham-Kam Prediction, Odds & AI Betting Tips

Jul 22, 2026 - 17:00
3 3.44
0 0.67
xG Accuracy: 74%

AI correctly predicted the Bodo/Glimt win.

The match finished 3–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

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 No No ✔ Correct
  • 1X2 Bodø/Glimt Bodo/Glimt ✔ Correct
  • Correct Score Insights 3-0, 2-0, 4-0, 3-1, 5-0 3-0 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Draw +2.2 pp

Outcome Model Closing Market Difference Signal
Bodo/Glimt 87.4% 88.7% -1.3 pp Aligned
Draw 9.2% 7.0% +2.2 pp Aligned
Ham-Kam 3.4% 4.3% -0.9 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 (Bodo/Glimt win 3–0).

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

  • Expected goals projected a high-scoring match (ΣxG 4.11) — 3 goals materialised
  • Bodo/Glimt attacking xG significantly stronger (3.44 vs 0.67)
  • Both Teams To Score (No) matched the full-time result

Market lesson

The model's directional lean matched the full-time result (Bodo/Glimt win 3–0).

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Prediction Timeline

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

  1. Jul 22, 2026 · 16:59 UTC Forecast generated
    • Model 1X2 · Bodo/Glimt 87.4% · Draw 9.2% · Ham-Kam 3.4%
    • xG · Bodo/Glimt 3.44 — Ham-Kam 0.67
  2. Jul 22, 2026 · 16:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Bodo/Glimt 1.08 · Draw 13.68 · Ham-Kam 22.28
    • Implied 1X2 · Bodo/Glimt 88.7% · Draw 7.0% · Ham-Kam 4.3%
    • Bookmaker · Pinnacle
  3. Jul 22, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Bodo/Glimt 1.08 · Draw 13.68 · Ham-Kam 22.28
    • Implied 1X2 · Bodo/Glimt 88.7% · Draw 7.0% · Ham-Kam 4.3%
    • Bookmaker · Pinnacle
  4. Jul 22, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Bodo/Glimt win · 3–0
  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 66/100 · Moderate
  • Validation: Pass
  • High xG deviation from league baseline (155%+)
Evidence ★★★★★
  • Strong model lean
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 88/100
Betting Confidence 69/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 00:28 UTC Snapshot ID: dp-1519620

Closing Odds 13.68
AI Fair Odds —
CLV Pending
Final Result Bodo/Glimt win · Bodo/Glimt 3–0 Ham-Kam
Prediction ✔ Correct
Decision Grade A

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: Bodø/Glimt vs HamKam
  • Kickoff: 2026-07-22 17:00:00
  • 1X2 (model): Home 87.4% · Draw 9.2% · Away 3.4%
  • xG (showing): Bodø/Glimt 3.44 — HamKam 0.67 (total xG ≈ 4.11)
  • Value headline: None (actionable) — best tracked EV is about +1.6%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 22.2% · Over 2.5 77.8%); BTTS No (Yes 47.8% · No 52.2%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
  • BTTS (model): Yes 47.8% · No 52.2%
  • Correct score (top bin): 3-0 (11.1%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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: 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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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