Prediction Audit: Atlanta vs Temperley Prediction, Odds & AI Betting Tips

Aug 09, 2026 - 17:00
1 1.26
0 1.34
xG Accuracy: 64%

The model missed the final outcome (Atlanta win 1–0).

The model had projected Temperley at 37.1%, 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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Temperley Atlanta ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

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

Largest probability gap: Temperley +14.6 pp

Outcome Model Closing Market Difference Signal
Atlanta 33.3% 45.1% -11.8 pp Market Higher
Draw 29.6% 32.4% -2.8 pp Aligned
Temperley 37.1% 22.5% +14.6 pp Model Edge

The statistical model estimates Temperley's win probability at 37.1%, compared with the closing market's implied probability of 22.5%, a difference of 14.6 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 Atlanta win 1–0.

Market Assessment

The statistical fair estimate is materially higher than the market on Temperley.

  • The model may see a slower-scoring or closer matchup than the market.
  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Temperley; match finished Atlanta

Market lesson

The closing market differed from the model on Temperley by 14.6 percentage points (22.5% vs model 37.1%) — 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. Aug 09, 2026 · 16:59 UTC Forecast generated
    • Model 1X2 · Atlanta 33.4% · Draw 29.6% · Temperley 37.0%
    • xG · Atlanta 1.26 — Temperley 1.34
  2. Aug 09, 2026 · 16:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Atlanta 2.11 · Draw 2.94 · Temperley 4.23
    • Implied 1X2 · Atlanta 45.1% · Draw 32.4% · Temperley 22.5%
    • Bookmaker · Pinnacle
  3. Aug 09, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Atlanta 2.11 · Draw 2.94 · Temperley 4.23
    • Implied 1X2 · Atlanta 45.1% · Draw 32.4% · Temperley 22.5%
    • Bookmaker · Pinnacle
  4. Aug 09, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Atlanta win · 1–0
  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 56/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • Statistical edge detected
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 9/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 02, 2026 · 02:48 UTC Snapshot ID: dp-2829735

Closing Odds 4.23
AI Fair Odds —
CLV Pending
Final Result Atlanta win · Atlanta 1–0 Temperley
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

Quick read on how the model reads this matchup.

  • League: Primera Nacional
  • Fixture: Atlanta vs Temperley
  • Kickoff: 2026-08-09 17:00:00
  • 1X2 (model): Home 33.4% · Draw 29.6% · Away 37.0%
  • xG (showing): Atlanta 1.26 — Temperley 1.34 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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%)

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: 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 28, 2026 (UTC)

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Primera Nacional Primera Nacional — Standings
# TEAM MP W D L PTS
1 Ferro Carril Oeste 31 18 7 6 61
2 Deportivo Moron 31 16 7 8 55
3 Godoy Cruz 31 15 8 8 53
4 Deportivo Madryn 31 13 11 7 50
5 Colon Santa Fe 31 13 10 8 49
6 Almirante Brown 31 12 10 9 46
7 CA Estudiantes 31 12 9 10 45
8 Ciudad de Bolívar 31 10 12 9 42
9 Los Andes 31 9 13 9 40
10 Chaco For Ever 31 9 9 13 36
11 Defensores De Belgrano 31 8 12 11 36
12 Racing Cordoba 31 9 9 13 36
13 San Telmo 31 8 10 13 34
14 All Boys 31 6 15 10 33
15 Central Norte 31 6 14 11 32
16 Atletico Mitre 31 6 14 11 32
17 San Miguel 31 6 13 12 31
18 Acassuso 31 7 8 16 29
# TEAM MP GS GC +/- PTS
1 Deportivo Moron 31 49 31 +18 55
2 Deportivo Madryn 31 44 28 +16 50
3 Godoy Cruz 31 40 28 +12 53
4 Colon Santa Fe 31 38 25 +13 49
5 Ferro Carril Oeste 31 36 25 +11 61
6 CA Estudiantes 31 29 26 +3 45
7 Chaco For Ever 31 28 31 -3 36
8 Racing Cordoba 31 28 38 -10 36
9 Atletico Mitre 31 27 39 -12 32
10 Ciudad de Bolívar 31 26 28 -2 42
11 San Telmo 31 25 34 -9 34
12 San Miguel 31 25 36 -11 31
13 Los Andes 31 24 21 +3 40
14 Almirante Brown 31 23 18 +5 46
15 Defensores De Belgrano 31 23 27 -4 36
16 Acassuso 31 22 34 -12 29
17 Central Norte 31 19 28 -9 32
18 All Boys 31 17 26 -9 33