Prediction Audit: SK Poltava vs UCSA Prediction, Odds & AI Betting Tips

Aug 15, 2026 - 12:00
0 1.41
0 1.19
xG Accuracy: 49%

The model missed the final outcome (Draw 0–0).

The model had projected SK Poltava at 40.4%, 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 (0 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 SK Poltava Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 0-0 0-0 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices SK Poltava higher than the statistical model.

Largest probability gap: SK Poltava -6.9 pp

Outcome Model Closing Market Difference Signal
SK Poltava 40.4% 47.3% -6.9 pp Market Higher
Draw 29.4% 24.4% +5.0 pp Model Higher
UCSA 30.1% 28.3% +1.9 pp Aligned

The closing market estimates SK Poltava's win probability at 47.3%, compared with the model's estimate of 40.4%, a difference of 6.9 percentage points. This highlights a disagreement between the model and market consensus, without 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: PRE5.

After full time, the result was Draw 0–0.

Market Assessment

The market and model broadly agree on SK Poltava. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • 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 0–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned SK Poltava; match finished Draw

Market lesson

The closing market differed from the model on SK Poltava by 6.9 percentage points (47.3% vs model 40.4%) — 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 15, 2026 · 11:58 UTC Forecast generated
    • Model 1X2 · SK Poltava 40.5% · Draw 29.4% · UCSA 30.1%
    • xG · SK Poltava 1.41 — UCSA 1.19
  2. Aug 15, 2026 · 11:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · SK Poltava 1.70 · Draw 3.86 · UCSA 3.59
    • Implied 1X2 · SK Poltava 52.2% · Draw 23.0% · UCSA 24.7%
    • Bookmaker · Pinnacle
  3. Aug 15, 2026 · 11:58 UTC Closing snapshot recorded PRE5
    • 1X2 odds · SK Poltava 1.90 · Draw 3.68 · UCSA 3.18
    • Implied 1X2 · SK Poltava 47.3% · Draw 24.4% · UCSA 28.3%
    • Bookmaker · Pinnacle
  4. Aug 15, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  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: Observe
Historical Decision No Primary Bet
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
Pricing proximity (inverse gap) 65/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 09, 2026 · 01:36 UTC Snapshot ID: dp-3345048

Closing Odds 1.9
AI Fair Odds —
CLV Pending
Final Result Draw · SK Poltava 0–0 UCSA
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

Pre-match snapshot for this fixture.

  • League: Persha Liga
  • Fixture: SK Poltava vs UCSA
  • Kickoff: 2026-08-15 12:00:00
  • 1X2 (model): Home 40.5% · Draw 29.4% · Away 30.1%
  • xG (showing): SK Poltava 1.41 — UCSA 1.19 (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 54.2% · No 45.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.2% · No 45.8%
  • 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.

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

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 28, 2026 (UTC)

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Persha Liga Persha Liga — Standings
# TEAM MP W D L PTS
1 Kulykiv 9 5 2 2 17
2 Viktoriya Mykolaivka 9 5 2 2 17
3 Oleksandria 9 4 4 1 16
4 SK Poltava 9 4 3 2 15
5 Prykarpattia 9 4 2 3 14
6 Ahrobiznes Volochysk 9 4 2 3 14
7 Yarud Mariupol' 9 4 2 3 14
8 Inhulets 8 4 2 2 14
9 Metal Kharkiv 9 4 1 4 13
10 Lokomotiv Kyiv 9 3 3 3 12
11 Nyva Ternopil 9 2 4 3 10
12 UCSA 9 2 4 3 10
13 Kolos Kovalivka II 8 3 0 5 9
14 Chernihiv 8 1 4 3 7
15 Polissya II 8 1 3 4 6
16 Probiy Horodenka 9 0 2 7 2
# TEAM MP GS GC +/- PTS
1 Kulykiv 9 19 9 +10 17
2 Ahrobiznes Volochysk 9 14 12 +2 14
3 SK Poltava 9 13 5 +8 15
4 Oleksandria 9 13 7 +6 16
5 Prykarpattia 9 12 9 +3 14
6 Yarud Mariupol' 9 12 11 +1 14
7 UCSA 9 12 14 -2 10
8 Viktoriya Mykolaivka 9 11 6 +5 17
9 Metal Kharkiv 9 11 11 0 13
10 Polissya II 8 11 14 -3 6
11 Inhulets 8 10 10 0 14
12 Lokomotiv Kyiv 9 9 9 0 12
13 Nyva Ternopil 9 9 9 0 10
14 Chernihiv 8 8 11 -3 7
15 Kolos Kovalivka II 8 8 15 -7 9
16 Probiy Horodenka 9 6 26 -20 2