Prediction Audit: Claypole vs Lujan Prediction, Odds & AI Betting Tips

Jul 31, 2026 - 18:00
1 1.30
3 1.30
xG Accuracy: 58%

The model missed the final outcome (Lujan win 1–3).

The model had projected Claypole at 35.2%, 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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Claypole Lujan ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-3 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

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

Largest probability gap: Claypole +5.8 pp

Outcome Model Closing Market Difference Signal
Claypole 35.2% 29.4% +5.8 pp Model Higher
Draw 29.6% 34.8% -5.1 pp Market Higher
Lujan 35.2% 35.9% -0.7 pp Aligned

The statistical model estimates Claypole's win probability at 35.2%, compared with the closing market's implied probability of 29.4%, a difference of 5.8 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 Lujan win 1–3.

Market Assessment

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

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

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 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 (4 goals)
  • 1X2: model leaned Claypole; match finished Lujan

Market lesson

The closing market differed from the model on Claypole by 5.8 percentage points (29.4% vs model 35.2%) — 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. Jul 31, 2026 · 18:03 UTC Forecast generated
    • Model 1X2 · Claypole 35.2% · Draw 29.6% · Lujan 35.2%
    • xG · Claypole 1.30 — Lujan 1.30
  2. Jul 31, 2026 · 17:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · Claypole 3.03 · Draw 2.56 · Lujan 2.48
    • Implied 1X2 · Claypole 29.4% · Draw 34.8% · Lujan 35.9%
    • Bookmaker · Pinnacle
  3. Jul 31, 2026 · 18:03 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Claypole 3.03 · Draw 2.56 · Lujan 2.48
    • Implied 1X2 · Claypole 29.4% · Draw 34.8% · Lujan 35.9%
    • Bookmaker · Pinnacle
  4. Jul 31, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Lujan win · 1–3
  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 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 24/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 05:52 UTC Snapshot ID: dp-1825650

Closing Odds 3.03
AI Fair Odds —
CLV Pending
Final Result Lujan win · Claypole 1–3 Lujan
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

Pre-match snapshot for this fixture.

  • League: Primera C
  • Fixture: Claypole vs Lujan
  • Kickoff: 2026-07-31 18:00:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Claypole 1.3 — Lujan 1.3 (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 (12.6%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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 26, 2026 (UTC)

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Back to Predictions
Primera C Primera C — Standings
# TEAM MP W D L PTS
1 Sacachispas 29 13 7 9 46
2 Berazategui 29 11 12 6 45
3 Lugano 29 11 12 6 45
4 Centro Español 29 10 11 8 41
5 Juventud Unida 29 11 8 10 41
6 Estrella Del Sur 29 10 11 8 41
7 Mercedes 29 10 10 9 40
8 Victoriano Arenas 29 9 13 7 40
9 Puerto Nuevo 29 9 11 9 38
10 Defensores de Cambaceres 29 9 9 11 36
11 Deportivo Paraguayo 29 7 9 13 30
12 JJ Urquiza 29 5 14 10 29
13 Leandro N. Alem 29 7 7 15 28
14 Argentino Rosario 29 3 15 11 24
# TEAM MP GS GC +/- PTS
1 Centro Español 29 35 27 +8 41
2 Juventud Unida 29 34 28 +6 41
3 Berazategui 29 32 21 +11 45
4 Sacachispas 29 32 23 +9 46
5 Lugano 29 32 24 +8 45
6 Estrella Del Sur 29 29 28 +1 41
7 Mercedes 29 28 23 +5 40
8 Puerto Nuevo 29 27 30 -3 38
9 Leandro N. Alem 29 27 50 -23 28
10 Argentino Rosario 29 26 37 -11 24
11 Defensores de Cambaceres 29 25 28 -3 36
12 Victoriano Arenas 29 22 18 +4 40
13 Deportivo Paraguayo 29 21 37 -16 30
14 JJ Urquiza 29 14 23 -9 29