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

Jun 20, 2026 - 12:00
2 1.30
0 1.30
xG Accuracy: 58%

AI correctly predicted the Nardo win.

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

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Exact score: outside the model's top score bins

Market lesson

The model's directional lean matched the full-time result (Nardo win 2–0).

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Prediction Timeline

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

  1. Jun 20, 2026 · 19:59 UTC Forecast generated
    • xG · Nardo 1.30 — NTNUI 1.30
  2. Jun 20, 2026 · 12:00 UTC Kickoff
  3. FT Full-time result Nardo win · 2–0
  4. FT Prediction validated Directional lean matched full-time result
  5. 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 57/100 · Moderate
  • Validation: Pending
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation pending
Market Compatibility 100/100
Betting Confidence 59/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 25, 2026 · 22:00 UTC Snapshot ID: dp-5482096

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Nardo win · Nardo 2–0 NTNUI
Prediction ✔ Correct
Decision Grade B-

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: Nardo vs NTNUI
  • Kickoff: 2026-06-20 12:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Nardo 1.3 — NTNUI 1.3 (total xG ≈ 2.6)
  • 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

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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

October 16, 2026 (UTC)

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3. Division - Girone 2 3. Division - Girone 2 — Standings
# TEAM MP W D L PTS
1 Volda 23 15 4 4 49
2 Strindheim 23 15 4 4 49
3 Melhus 23 11 5 7 38
4 Byåsen 23 11 4 8 37
5 Molde II 23 10 5 8 35
6 Herd 23 9 5 9 32
7 Rosenborg II 23 9 4 10 31
8 Nardo 22 9 2 11 29
9 Spjelkavik 23 8 4 11 28
10 NTNUI 23 7 7 9 28
11 Ranheim II 23 7 5 11 26
12 Kvik Trondheim 23 7 4 12 25
13 Aalesund II 22 7 2 13 23
14 Orkla 23 5 5 13 20
# TEAM MP GS GC +/- PTS
1 Molde II 23 64 71 -7 35
2 Strindheim 23 63 31 +32 49
3 Ranheim II 23 60 74 -14 26
4 Volda 23 59 25 +34 49
5 Melhus 23 52 29 +23 38
6 Rosenborg II 23 51 45 +6 31
7 Byåsen 23 50 43 +7 37
8 Nardo 22 50 47 +3 29
9 Herd 23 49 45 +4 32
10 Spjelkavik 23 42 50 -8 28
11 Orkla 23 40 63 -23 20
12 Aalesund II 22 39 62 -23 23
13 NTNUI 23 35 48 -13 28
14 Kvik Trondheim 23 33 54 -21 25