Predictions / Football / Norway. 3. Division - Girone 2 / NTNUI vs Nardo

Prediction Audit: NTNUI vs Nardo Prediction, Odds & AI Betting Tips

NTNUI NTNUI
Sep 26, 2026 - 12:00
2 1.34
5 1.26
xG Accuracy: 30%
Nardo Nardo

The model missed the final outcome (Nardo win 2–5).

The model had projected NTNUI at 37.1%, 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 Under 2.5 Over 2.5 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 NTNUI Nardo ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-5 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Nardo higher than the statistical model.

Largest probability gap: Nardo -9.8 pp

Outcome Model Closing Market Difference Signal
NTNUI 37.1% 34.9% +2.2 pp Aligned
Draw 29.6% 22.0% +7.6 pp Model Higher
Nardo 33.3% 43.1% -9.8 pp Market Higher

The closing market estimates Nardo's win probability at 43.1%, compared with the model's estimate of 33.3%, a difference of 9.8 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: PRE5.

After full time, the result was Nardo win 2–5.

Market Assessment

The market and model broadly agree on Nardo. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 7 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (7 goals)

Market lesson

The closing market differed from the model on NTNUI by 9.8 percentage points (46.9% vs model 37.1%) — 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. Sep 26, 2026 · 11:55 UTC Forecast generated
    • Model 1X2 · NTNUI 37.0% · Draw 29.6% · Nardo 33.4%
    • xG · NTNUI 1.34 — Nardo 1.26
  2. Sep 26, 2026 · 11:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · NTNUI 2.56 · Draw 4.05 · Nardo 2.07
    • Implied 1X2 · NTNUI 34.9% · Draw 22.0% · Nardo 43.1%
    • Bookmaker · Marathonbet
  3. Sep 26, 2026 · 11:55 UTC Closing snapshot recorded PRE5
    • 1X2 odds · NTNUI 2.56 · Draw 4.05 · Nardo 2.07
    • Implied 1X2 · NTNUI 34.9% · Draw 22.0% · Nardo 43.1%
    • Bookmaker · Marathonbet
  4. Sep 26, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Nardo win · 2–5
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 17/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 00:56 UTC Snapshot ID: dp-10081839

Closing Odds 2.07
AI Fair Odds —
CLV Pending
Final Result Nardo win · NTNUI 2–5 Nardo
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

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

  • League: 3. Division - Girone 2
  • Fixture: NTNUI vs Nardo
  • Kickoff: 2026-09-26 12:00:00
  • 1X2 (model): Home 37.0% · Draw 29.6% · Away 33.4%
  • xG (showing): NTNUI 1.34 — Nardo 1.26 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS No
  • Model: 45.5% · Implied: 24.0% · Probability edge: +21.5 pts · Est. EV: +82.0%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: Monitor

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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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