Predictions / Football / Argentina. Primera C / Yupanqui vs Canuelas

Prediction Audit: Yupanqui vs Canuelas Prediction, Odds & AI Betting Tips

Yupanqui Yupanqui
Aug 03, 2026 - 18:00
1 1.26
2 1.34
xG Accuracy: 78%
Canuelas Canuelas

AI correctly predicted the Canuelas win.

The match finished 1–2, 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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Canuelas Canuelas ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-2 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Canuelas +4.0 pp

Outcome Model Closing Market Difference Signal
Yupanqui 33.3% 36.2% -2.9 pp Aligned
Draw 29.6% 30.7% -1.1 pp Aligned
Canuelas 37.1% 33.1% +4.0 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 model's directional lean matched the result (Canuelas win 1–2).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–2 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

The model's directional lean matched the full-time result (Canuelas win 1–2).

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Prediction Timeline

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

  1. Aug 03, 2026 · 17:59 UTC Forecast generated
    • Model 1X2 · Yupanqui 33.4% · Draw 29.6% · Canuelas 37.0%
    • xG · Yupanqui 1.26 — Canuelas 1.34
  2. Aug 03, 2026 · 17:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Yupanqui 2.40 · Draw 2.83 · Canuelas 2.63
    • Implied 1X2 · Yupanqui 36.2% · Draw 30.7% · Canuelas 33.1%
    • Bookmaker · Pinnacle
  3. Aug 03, 2026 · 17:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Yupanqui 2.40 · Draw 2.83 · Canuelas 2.63
    • Implied 1X2 · Yupanqui 36.2% · Draw 30.7% · Canuelas 33.1%
    • Bookmaker · Pinnacle
  4. Aug 03, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Canuelas win · 1–2
  6. FT Prediction validated Directional lean matched 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 28/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 05:58 UTC Snapshot ID: dp-1826001

Closing Odds 2.63
AI Fair Odds —
CLV Pending
Final Result Canuelas win · Yupanqui 1–2 Canuelas
Prediction ✔ Correct
Decision Grade B-

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: Primera C
  • Fixture: Yupanqui vs Canuelas
  • Kickoff: 2026-08-03 18:00:00
  • 1X2 (model): Home 33.4% · Draw 29.6% · Away 37.0%
  • xG (showing): Yupanqui 1.26 — Canuelas 1.34 (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%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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

Historical Recommendation

Historical Decision: Monitor

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

September 29, 2026 (UTC)

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Primera C Primera C — Standings
# TEAM MP W D L PTS
1 Berazategui 30 12 12 6 48
2 Lugano 30 11 13 6 46
3 Sacachispas 30 13 7 10 46
4 Estrella Del Sur 30 11 11 8 44
5 Mercedes 30 11 10 9 43
6 Juventud Unida 30 11 9 10 42
7 Centro Español 29 10 11 8 41
8 Victoriano Arenas 30 9 14 7 41
9 Puerto Nuevo 30 9 11 10 38
10 Defensores de Cambaceres 29 9 9 11 36
11 Deportivo Paraguayo 30 7 10 13 31
12 JJ Urquiza 29 5 14 10 29
13 Leandro N. Alem 29 7 7 15 28
14 Argentino Rosario 30 3 15 12 24
# TEAM MP GS GC +/- PTS
1 Berazategui 30 35 21 +14 48
2 Centro Español 29 35 27 +8 41
3 Juventud Unida 30 35 29 +6 42
4 Lugano 30 33 25 +8 46
5 Sacachispas 30 32 26 +6 46
6 Estrella Del Sur 30 31 29 +2 44
7 Mercedes 30 29 23 +6 43
8 Puerto Nuevo 30 27 31 -4 38
9 Argentino Rosario 30 27 39 -12 24
10 Leandro N. Alem 29 27 50 -23 28
11 Defensores de Cambaceres 29 25 28 -3 36
12 Victoriano Arenas 30 23 19 +4 41
13 Deportivo Paraguayo 30 22 38 -16 31
14 JJ Urquiza 29 14 23 -9 29
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