Statistics / Football / Peru. Segunda División / U. San Martin vs Carlos A. Mannucci

U. San Martin vs Carlos A. Mannucci Statistics & Analysis

U. San Martin U. San Martin
Jul 25, 2026 - 16:00
2 1.29
0 1.31
xG Accuracy: 57%
Carlos A. Mannucci Carlos A. Mannucci
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Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Carlos A. Mannucci U. San Martin ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:09 UTC Snapshot ID: dp-1456513

Closing Odds 1.89
AI Fair Odds —
CLV +0.0%
Final Result U. San Martin win · U. San Martin 2–0 Carlos A. Mannucci
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Carlos A. Mannucci (1X2), Over 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Carlos A. Mannucci (1X2) by about 10.6 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
U. San Martin (1X2) 34.7 47.0 -12.3
Draw (1X2) 29.7 28.0 +1.6
Carlos A. Mannucci (1X2) 35.6 25.0 +10.6
Over 2.5 goals 48.2 46.6 +1.6
Under 2.5 goals 51.8 53.4 -1.6
What this means

In plain terms: the model lands near 35.6% on Carlos A. Mannucci (1X2), while the closing snapshot implied about 25.0%. The difference — about 10.6 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
U. San Martin (1X2) 1.89 1.89 0.0
Draw (1X2) 3.17 3.17 0.0
Carlos A. Mannucci (1X2) 3.56 3.56 0.0
Over 2.5 goals 1.97 1.97 0.0
Under 2.5 goals 1.72 1.72 0.0

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Peruvian Segunda División
  • Fixture: U. San Martin vs Carlos A. Mannucci
  • Kickoff: 2026-07-25 16:00:00
  • 1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
  • xG (showing): U. San Martin 1.29 — Carlos A. Mannucci 1.31 (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): Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 30, 2026 (UTC)

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Back to Statistics
Segunda División Segunda División — Standings
# TEAM MP W D L PTS
1 Union Comercio 16 9 5 2 32
2 Carlos A. Mannucci 16 9 3 4 30
3 Deportivo Llacuabamba 16 8 4 4 28
4 Molinos El Pirata 16 7 4 5 25
5 U. San Martin 16 7 3 6 24
6 Deportiva Agropecuaria 15 5 6 4 21
7 Cesar Vallejo 15 5 4 6 19
8 Academia Cantolao 16 3 5 8 14
9 San Marcos 14 0 0 14 0
# TEAM MP GS GC +/- PTS
1 U. San Martin 16 26 17 +9 24
2 Molinos El Pirata 16 25 20 +5 25
3 Deportivo Llacuabamba 16 23 10 +13 28
4 Carlos A. Mannucci 16 22 12 +10 30
5 Union Comercio 16 19 5 +14 32
6 Academia Cantolao 16 19 30 -11 14
7 Deportiva Agropecuaria 15 14 12 +2 21
8 Cesar Vallejo 15 14 13 +1 19
9 San Marcos 14 1 44 -43 0
Segunda División Peru. Segunda División Predictions