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

Sep 05, 2026 - 13:00
4 1.27
2 1.33
xG Accuracy: 39%

The model missed the final outcome (Nardo win 4–2).

The model had projected Spjelkavik at 36.6%, 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 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Spjelkavik Nardo ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 4-2 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates Draw considerably stronger than the closing betting market.

Largest probability gap: Draw +7.7 pp

Outcome Model Closing Market Difference Signal
Nardo 33.8% 34.3% -0.5 pp Aligned
Draw 29.6% 21.9% +7.7 pp Model Higher
Spjelkavik 36.6% 43.8% -7.2 pp Market Higher

The statistical model estimates Draw's win probability at 29.6%, compared with the closing market's implied probability of 21.9%, a difference of 7.7 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 result was Nardo win 4–2.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Draw.

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

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)
  • 1X2: model leaned Spjelkavik; match finished Nardo

Market lesson

The closing market differed from the model on Spjelkavik by 7.7 percentage points (28.9% vs model 36.6%) — 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 05, 2026 · 12:59 UTC Forecast generated
    • Model 1X2 · Nardo 33.8% · Draw 29.6% · Spjelkavik 36.6%
    • xG · Nardo 1.27 — Spjelkavik 1.33
  2. Sep 05, 2026 · 12:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Nardo 2.62 · Draw 4.10 · Spjelkavik 2.05
    • Implied 1X2 · Nardo 34.3% · Draw 21.9% · Spjelkavik 43.8%
    • Bookmaker · Bet365
  3. Sep 05, 2026 · 12:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Nardo 2.62 · Draw 4.10 · Spjelkavik 2.05
    • Implied 1X2 · Nardo 34.3% · Draw 21.9% · Spjelkavik 43.8%
    • Bookmaker · Bet365
  4. Sep 05, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Nardo win · 4–2
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 61/100
Betting Confidence 78/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 01:58 UTC Snapshot ID: dp-6136879

Closing Odds 4.1
AI Fair Odds —
CLV Pending
Final Result Nardo win · Nardo 4–2 Spjelkavik
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: Nardo vs Spjelkavik
  • Kickoff: 2026-09-05 13:00:00
  • 1X2 (model): Home 33.8% · Draw 29.6% · Away 36.6%
  • xG (showing): Nardo 1.27 — Spjelkavik 1.33 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: 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 Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

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 29, 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