Prediction Audit: La Solana vs San Clemente Prediction, Odds & AI Betting Tips

Sep 19, 2026 - 17:00
4 1.23
0 1.37
xG Accuracy: 32%

The model missed the final outcome (La Solana win 4–0).

The model had projected San Clemente at 38.5%, 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 Over 2.5 Over 2.5 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 San Clemente La Solana ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 4-0 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates San Clemente considerably stronger than the closing betting market.

Largest probability gap: San Clemente +5.2 pp

Outcome Model Closing Market Difference Signal
La Solana 31.9% 34.0% -2.1 pp Aligned
Draw 29.6% 32.7% -3.1 pp Aligned
San Clemente 38.5% 33.3% +5.2 pp Model Higher

The statistical model estimates San Clemente's win probability at 38.5%, compared with the closing market's implied probability of 33.3%, a difference of 5.2 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 La Solana win 4–0.

Market Assessment

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

  • 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
  • Over 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 San Clemente; match finished La Solana

Market lesson

The closing market differed from the model on San Clemente by 5.2 percentage points (33.3% vs model 38.5%) — 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 19, 2026 · 17:01 UTC Forecast generated
    • Model 1X2 · La Solana 31.9% · Draw 29.6% · San Clemente 38.5%
    • xG · La Solana 1.23 — San Clemente 1.37
  2. Sep 19, 2026 · 16:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · La Solana 2.66 · Draw 2.77 · San Clemente 2.72
    • Implied 1X2 · La Solana 34.0% · Draw 32.7% · San Clemente 33.3%
    • Bookmaker · Pinnacle
  3. Sep 19, 2026 · 17:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · La Solana 2.66 · Draw 2.77 · San Clemente 2.72
    • Implied 1X2 · La Solana 34.0% · Draw 32.7% · San Clemente 33.3%
    • Bookmaker · Pinnacle
  4. Sep 19, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result La Solana win · 4–0
  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 25/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 03:21 UTC Snapshot ID: dp-8705654

Closing Odds 2.72
AI Fair Odds —
CLV Pending
Final Result La Solana win · La Solana 4–0 San Clemente
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: Tercera División RFEF - Group 18
  • Fixture: La Solana vs San Clemente
  • Kickoff: 2026-09-19 17:00:00
  • 1X2 (model): Home 31.9% · Draw 29.6% · Away 38.5%
  • xG (showing): La Solana 1.23 — San Clemente 1.37 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
  • Model: 48.2% · Implied: 38.8% · Probability edge: +9.4 pts · Est. EV: +18.1%
  • BTTS (model): Yes 54.4% · No 45.6%
  • 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 29, 2026 (UTC)

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Tercera División RFEF - Group 18 Tercera División RFEF - Group 18 — Standings
# TEAM MP W D L PTS
1 Manchego 3 3 0 0 9
2 Marchamalo 3 2 1 0 7
3 Noblejas 3 2 1 0 7
4 Torrijos 3 2 1 0 7
5 Tarancón 4 2 0 2 6
6 Villarrobledo 3 1 2 0 5
7 Illescas 3 1 2 0 5
8 Almansa 3 1 1 1 4
9 Toledo 3 1 1 1 4
10 Villacañas 3 1 1 1 4
11 La Solana 3 1 0 2 3
12 Socuéllamos 3 0 3 0 3
13 CD Villa 3 1 0 2 3
14 Quintanar del Rey 3 0 2 1 2
15 Villarrubia 3 0 2 1 2
16 San Clemente 3 0 2 1 2
17 Guadalajara II 4 0 1 3 1
18 Huracán Balazote 3 0 0 3 0
# TEAM MP GS GC +/- PTS
1 Tarancón 4 8 5 +3 6
2 Marchamalo 3 6 2 +4 7
3 Noblejas 3 6 4 +2 7
4 Toledo 3 6 5 +1 4
5 Villarrobledo 3 5 1 +4 5
6 Almansa 3 5 3 +2 4
7 Quintanar del Rey 3 5 7 -2 2
8 Manchego 3 4 0 +4 9
9 La Solana 3 4 4 0 3
10 Guadalajara II 4 4 10 -6 1
11 Torrijos 3 3 1 +2 7
12 Illescas 3 3 2 +1 5
13 Villacañas 3 3 2 +1 4
14 CD Villa 3 2 4 -2 3
15 Villarrubia 3 2 6 -4 2
16 San Clemente 3 2 6 -4 2
17 Socuéllamos 3 1 1 0 3
18 Huracán Balazote 3 0 6 -6 0