Predictions / Football / Norway. 3. Division - Girone 4 / Mandalskameratene vs Odd II

Prediction Audit: Mandalskameratene vs Odd II Prediction, Odds & AI Betting Tips

Mandalskameratene Mandalskameratene
Sep 26, 2026 - 13:00
4 1.32
0 1.28
xG Accuracy: 34%
Odd II Odd II

AI correctly predicted the Mandalskameratene win.

The match finished 4–0, 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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Mandalskameratene Mandalskameratene ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 4-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Mandalskameratene higher than the statistical model.

Largest probability gap: Mandalskameratene -24.7 pp

Outcome Model Closing Market Difference Signal
Mandalskameratene 36.1% 60.8% -24.7 pp Market Higher
Draw 29.6% 19.2% +10.4 pp Model Edge
Odd II 34.2% 20.0% +14.3 pp Model Edge

The closing market estimates Mandalskameratene's win probability at 60.8%, compared with the model's estimate of 36.1%, a difference of 24.7 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 (Mandalskameratene win 4–0).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 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 (4 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 Mandalskameratene higher (60.8% vs model 36.1%, 24.7 pp), but the model's lean was validated (Mandalskameratene win 4–0).

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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 · Mandalskameratene 36.1% · Draw 29.7% · Odd II 34.2%
    • xG · Mandalskameratene 1.32 — Odd II 1.28
  2. Sep 26, 2026 · 12:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Mandalskameratene 1.48 · Draw 4.45 · Odd II 4.38
    • Implied 1X2 · Mandalskameratene 59.9% · Draw 19.9% · Odd II 20.2%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 13:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Mandalskameratene 1.48 · Draw 4.68 · Odd II 4.51
    • Implied 1X2 · Mandalskameratene 60.8% · Draw 19.2% · Odd II 20.0%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Mandalskameratene win · 4–0
  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 51/100 · Moderate
  • Validation: Warning
  • Large market gap (25 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 01:13 UTC Snapshot ID: dp-10087500

Closing Odds 1.48
AI Fair Odds —
CLV Pending
Final Result Mandalskameratene win · Mandalskameratene 4–0 Odd 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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: 3. Division - Girone 4
  • Fixture: Mandalskameratene vs Odd II
  • Kickoff: 2026-09-26 13:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Mandalskameratene 1.32 — Odd II 1.28 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.3%, 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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.5% · No 45.5%
  • 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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 29, 2026 (UTC)

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3. Division - Girone 4 3. Division - Girone 4 — Standings
# TEAM MP W D L PTS
1 Madla 21 13 6 2 45
2 Mandalskameratene 21 12 4 5 40
3 Vindbjart 21 12 2 7 38
4 Varhaug 21 10 6 5 36
5 Flekkerøy 21 11 3 7 36
6 Viking II 21 9 5 7 32
7 Brodd 21 8 3 10 27
8 Stabæk II 21 8 3 10 27
9 Våg 21 8 2 11 26
10 Staal Jørpeland 21 6 5 10 23
11 Odd II 21 6 5 10 23
12 Haugesund II 20 6 4 10 22
13 Hinna 20 5 5 10 20
14 Åkra 21 4 3 14 15
# TEAM MP GS GC +/- PTS
1 Madla 21 57 26 +31 45
2 Viking II 21 51 30 +21 32
3 Mandalskameratene 21 50 33 +17 40
4 Vindbjart 21 49 24 +25 38
5 Flekkerøy 21 43 35 +8 36
6 Stabæk II 21 43 48 -5 27
7 Staal Jørpeland 21 41 52 -11 23
8 Varhaug 21 40 30 +10 36
9 Brodd 21 39 42 -3 27
10 Haugesund II 20 37 55 -18 22
11 Odd II 21 36 49 -13 23
12 Hinna 20 36 57 -21 20
13 Våg 21 31 37 -6 26
14 Åkra 21 27 62 -35 15
3. Division - Girone 4 Norway. 3. Division - Girone 4 Predictions