Predictions / Football / Norway. 3. Division - Girone 2 / Strindheim vs Molde II

Prediction Audit: Strindheim vs Molde II Prediction, Odds & AI Betting Tips

Strindheim Strindheim
Sep 26, 2026 - 13:00
10 1.38
0 1.22
xG Accuracy: 7%
Molde II Molde II

AI correctly predicted the Strindheim win.

The match finished 10–0, 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 Over 2.5 (10 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Strindheim Strindheim ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 10-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Strindheim higher than the statistical model.

Largest probability gap: Strindheim -27.3 pp

Outcome Model Closing Market Difference Signal
Strindheim 39.0% 66.2% -27.3 pp Market Higher
Draw 29.5% 17.4% +12.1 pp Model Edge
Molde II 31.5% 16.3% +15.2 pp Model Edge

The closing market estimates Strindheim's win probability at 66.2%, compared with the model's estimate of 39.0%, a difference of 27.3 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 (Strindheim win 10–0).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 10 goals materialised
  • Both Teams To Score (No) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (10 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 Strindheim higher (66.3% vs model 39.0%, 27.3 pp), but the model's lean was validated (Strindheim win 10–0).

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Prediction Timeline

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

  1. Sep 26, 2026 · 13:00 UTC Forecast generated
    • Model 1X2 · Strindheim 39.0% · Draw 29.5% · Molde II 31.5%
    • xG · Strindheim 1.38 — Molde II 1.22
  2. Sep 26, 2026 · 12:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Strindheim 1.34 · Draw 5.09 · Molde II 5.44
    • Implied 1X2 · Strindheim 66.2% · Draw 17.4% · Molde II 16.3%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 13:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Strindheim 1.34 · Draw 5.09 · Molde II 5.44
    • Implied 1X2 · Strindheim 66.2% · Draw 17.4% · Molde II 16.3%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Strindheim win · 10–0
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 49/100 · Moderate
  • Validation: Warning
  • Large market gap (27 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 31/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 01:13 UTC Snapshot ID: dp-10087418

Closing Odds 1.34
AI Fair Odds —
CLV Pending
Final Result Strindheim win · Strindheim 10–0 Molde II
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: 3. Division - Girone 2
  • Fixture: Strindheim vs Molde II
  • Kickoff: 2026-09-26 13:00:00
  • 1X2 (model): Home 39.0% · Draw 29.5% · Away 31.5%
  • xG (showing): Strindheim 1.38 — Molde II 1.22 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.0%, 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 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS No (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

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.

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

September 28, 2026 (UTC)

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3. Division - Girone 2 3. Division - Girone 2 — Standings
# TEAM MP W D L PTS
1 Volda 21 14 4 3 46
2 Strindheim 21 13 4 4 43
3 Melhus 21 10 5 6 35
4 Byåsen 21 10 4 7 34
5 Rosenborg II 21 9 4 8 31
6 Herd 21 8 5 8 29
7 Molde II 21 8 5 8 29
8 Spjelkavik 21 8 4 9 28
9 Nardo 20 8 2 10 26
10 Ranheim II 21 6 5 10 23
11 NTNUI 21 5 7 9 22
12 Kvik Trondheim 21 6 4 11 22
13 Orkla 21 5 5 11 20
14 Aalesund II 20 6 2 12 20
# TEAM MP GS GC +/- PTS
1 Strindheim 21 57 30 +27 43
2 Volda 21 55 23 +32 46
3 Molde II 21 55 67 -12 29
4 Ranheim II 21 53 69 -16 23
5 Rosenborg II 21 49 36 +13 31
6 Melhus 21 48 27 +21 35
7 Byåsen 21 47 39 +8 34
8 Nardo 20 47 45 +2 26
9 Herd 21 45 38 +7 29
10 Spjelkavik 21 39 43 -4 28
11 Orkla 21 39 58 -19 20
12 Aalesund II 20 37 59 -22 20
13 NTNUI 21 31 47 -16 22
14 Kvik Trondheim 21 31 52 -21 22
3. Division - Girone 2 Norway. 3. Division - Girone 2 Predictions