Statistics / Football / Argentina. Liga Profesional Argentina / Gimnasia L.P. vs Atletico Tucuman

Gimnasia L.P. vs Atletico Tucuman Statistics & Analysis

Oct 09, 2026 - 21:00
1 1.21
1 0.75
xG Accuracy: 88%
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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 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Gimnasia L.P. Draw ✖ Incorrect
  • Correct Score Insights 1-0, 0-0, 1-1, 0-1, 2-0 1-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Oct 05, 2026 · 03:26 UTC Snapshot ID: dp-13236511

Closing Odds 3.3
AI Fair Odds —
CLV +0.0%
Final Result Draw · Gimnasia L.P. 1–1 Atletico Tucuman
Prediction ✖ Missed
Decision Grade F

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 PRE20 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2) 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 Draw (1X2) by about 5.1 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Gimnasia L.P. (1X2) 45.3 49.3 -4.0
Draw (1X2) 33.5 28.4 +5.1
Atletico Tucuman (1X2) 21.3 22.3 -1.0
What this means

In plain terms: the model lands near 33.5% on Draw (1X2), while the closing snapshot implied about 28.4%. The difference — about 5.1 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: PRE20 → PRE1 · Book: bet365 → bet365 us

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.

Early and closing snapshots used different bookmakers — interpret movement with care.

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

View full line-by-line capture table
Market Early (PRE20) Closing (PRE1) Implied Δ (pp)
Gimnasia L.P. (1X2) 1.91 1.9 +0.1
Draw (1X2) 3.3 3.3 -0.1
Atletico Tucuman (1X2) 4.2 4.2 -0.1

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Liga Profesional Argentina
  • Fixture: Gimnasia L.P. vs Atletico Tucuman
  • Kickoff: 2026-10-09 21:00:00
  • 1X2 (model): Home 45.3% · Draw 33.5% · Away 21.3%
  • xG (showing): Gimnasia L.P. 1.21 — Atletico Tucuman 0.75 (total xG ≈ 1.96)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 68.8% · Implied: 58.9% · Probability edge: +9.9 pts · Est. EV: +12.8%
  • BTTS (model): Yes 38.7% · No 61.3%
  • Correct score (top bin): 1-0 (17.0%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: 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 16, 2026 (UTC)

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Back to Statistics
Liga Profesional Argentina Liga Profesional Argentina — Standings
# TEAM MP W D L PTS
1 Estudiantes L.P. 16 9 4 3 31
2 Boca Juniors 16 8 6 2 30
3 Velez Sarsfield 16 7 7 2 28
4 Talleres Cordoba 16 7 5 4 26
5 Independiente 16 6 6 4 24
6 Lanus 16 6 6 4 24
7 San Lorenzo 16 5 7 4 22
8 Union Santa Fe 16 5 6 5 21
9 Instituto Cordoba 16 6 3 7 21
10 Defensa Y Justicia 16 4 7 5 19
11 Gimnasia M. 16 5 4 7 19
12 Platense 16 3 7 6 16
13 Central Cordoba de Santiago 16 4 4 8 16
14 Newells Old Boys 16 3 6 7 15
15 Deportivo Riestra 16 1 8 7 11
# TEAM MP GS GC +/- PTS
1 Independiente 16 24 20 +4 24
2 Union Santa Fe 16 24 20 +4 21
3 Boca Juniors 16 22 9 +13 30
4 Estudiantes L.P. 16 19 7 +12 31
5 Velez Sarsfield 16 18 12 +6 28
6 Lanus 16 18 15 +3 24
7 Defensa Y Justicia 16 18 21 -3 19
8 Talleres Cordoba 16 17 13 +4 26
9 Instituto Cordoba 16 17 17 0 21
10 Newells Old Boys 16 15 27 -12 15
11 San Lorenzo 16 14 14 0 22
12 Gimnasia M. 16 14 22 -8 19
13 Central Cordoba de Santiago 16 11 21 -10 16
14 Platense 16 10 15 -5 16
15 Deportivo Riestra 16 5 12 -7 11
# TEAM MP xG xGC +/- PTS
1 Instituto Cordoba 16 14.9 6.7 +8.2 21
2 Lanus 16 14.5 10.2 +4.3 24
3 Boca Juniors 16 10.9 6.7 +4.2 30
4 Union Santa Fe 16 11.5 8.3 +3.2 21
5 Defensa Y Justicia 16 14.0 10.9 +3.1 19
6 Deportivo Riestra 16 11.1 8.6 +2.5 11
7 Estudiantes L.P. 16 14.6 12.8 +1.8 31
8 Independiente 16 8.9 9.4 -0.5 24
9 Newells Old Boys 16 7.5 8.7 -1.2 15
10 Gimnasia M. 16 9.0 11.0 -2.0 19
11 Platense 16 7.9 10.6 -2.7 16
12 Talleres Cordoba 16 10.8 13.8 -3.0 26
13 Central Cordoba de Santiago 16 12.4 15.6 -3.2 16
14 San Lorenzo 16 6.3 10.1 -3.8 22
15 Velez Sarsfield 16 6.7 11.8 -5.1 28