Prediction Audit: Nice vs Metz Prediction, Odds & AI Betting Tips

May 17, 2026 - 19:00
0 1.65
0 1.21
xG Accuracy: 46%

The model missed the final outcome (Draw 0–0).

The model had projected Nice at 46.2%, 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 Under 2.5 (0 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Nice Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 0-0 ✖ 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
  • 1X2: model leaned Nice; match finished Draw

Market lesson

The full-time result was Draw 0–0, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. May 16, 2026 · 18:59 UTC Forecast generated
    • xG · Nice 1.65 — Metz 1.21
  2. May 17, 2026 · 19:00 UTC Kickoff
  3. FT Full-time result Draw · 0–0
  4. FT Prediction missed 1X2 lean did not match 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 Missed
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: Jul 24, 2026 · 02:41 UTC Snapshot ID: dp-1536865

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Draw · Nice 0–0 Metz
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: Ligue 1
  • Fixture: Nice vs Metz
  • Kickoff: 2026-05-16 19:00:00
  • 1X2 (model): Home 46.2% · Draw 27.3% · Away 26.6%
  • xG (showing): Nice 1.65 — Metz 1.21 (total xG ≈ 2.86)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 45.5% · Over 2.5 54.5%); BTTS Yes (Yes 58.2% · No 41.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 58.2% · No 41.8%
  • Correct score (top bin): 1-1 (11.4%)

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

October 13, 2026 (UTC)

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Ligue 1 Ligue 1 — Standings
# TEAM MP W D L PTS
1 Paris Saint Germain 34 24 4 6 76
2 Lens 34 22 4 8 70
3 Lille 34 18 7 9 61
4 Lyon 34 18 6 10 60
5 Marseille 34 18 5 11 59
6 Rennes 34 17 8 9 59
7 Monaco 34 16 6 12 54
8 Strasbourg 34 15 8 11 53
9 Lorient 34 11 12 11 45
10 Toulouse 33 12 8 13 44
11 Paris FC 34 11 11 12 44
12 Stade Brestois 29 34 10 9 15 39
13 Angers 34 9 9 16 36
14 Le Havre 34 7 14 13 35
15 Auxerre 34 8 10 16 34
16 Nice 34 7 11 16 32
17 Nantes 33 5 8 20 23
18 Metz 34 3 8 23 17
# TEAM MP GS GC +/- PTS
1 Paris Saint Germain 34 74 29 +45 76
2 Lens 34 66 35 +31 70
3 Marseille 34 63 45 +18 59
4 Monaco 34 60 54 +6 54
5 Rennes 34 59 50 +9 59
6 Strasbourg 34 58 47 +11 53
7 Lyon 34 53 40 +13 60
8 Lille 34 52 37 +15 61
9 Lorient 34 48 51 -3 45
10 Toulouse 33 47 46 +1 44
11 Paris FC 34 47 50 -3 44
12 Stade Brestois 29 34 43 55 -12 39
13 Nice 34 37 60 -23 32
14 Auxerre 34 34 44 -10 34
15 Le Havre 34 32 44 -12 35
16 Metz 34 32 76 -44 17
17 Angers 34 29 48 -19 36
18 Nantes 33 29 52 -23 23
# TEAM MP xG xGC +/- PTS
1 Paris Saint Germain 34 65.0 29.8 +35.2 76
2 Lens 34 66.7 42.7 +24.0 70
3 Marseille 34 60.2 42.1 +18.1 59
4 Lille 34 54.6 36.8 +17.8 61
5 Strasbourg 34 53.7 45.3 +8.4 53
6 Lyon 34 51.1 43.7 +7.4 60
7 Monaco 34 56.9 50.0 +6.9 54
8 Rennes 34 54.0 52.8 +1.2 59
9 Lorient 34 45.4 45.0 +0.4 45
10 Toulouse 33 42.9 42.6 +0.3 44
11 Stade Brestois 29 34 44.3 50.0 -5.7 39
12 Nantes 33 33.4 43.5 -10.1 23
13 Paris FC 34 44.4 56.1 -11.7 44
14 Le Havre 34 38.3 50.9 -12.6 35
15 Auxerre 34 35.5 48.1 -12.6 34
16 Nice 34 43.1 59.2 -16.1 32
17 Angers 34 32.4 55.4 -23.0 36
18 Metz 34 34.4 62.7 -28.3 17