Predictions / Football / Ukraine. Persha Liga / Livyi Bereh vs UCSA

Prediction Audit: Livyi Bereh vs UCSA Prediction, Odds & AI Betting Tips

May 08, 2026 - 13:00
3 1.45
1 1.25
xG Accuracy: 61%

AI correctly predicted the Livyi Bereh win.

The match finished 3–1, 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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Livyi Bereh Livyi Bereh ✔ Correct
  • Correct Score Insights 1-0, 1-1, 0-0, 2-0, 0-1 3-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Livyi Bereh higher than the statistical model.

Largest probability gap: Livyi Bereh -30.3 pp

Outcome Model Closing Market Difference Signal
Livyi Bereh 41.8% 72.1% -30.3 pp Market Higher
Draw 25.7% 18.6% +7.1 pp Model Higher
UCSA 32.6% 9.4% +23.2 pp Model Edge

The closing market estimates Livyi Bereh's win probability at 72.1%, compared with the model's estimate of 41.8%, a difference of 30.3 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: PRE1.

After full time, the model's directional lean matched the result (Livyi Bereh win 3–1).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.70) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Livyi Bereh higher (72.1% vs model 41.8%, 30.3 pp), but the model's lean was validated (Livyi Bereh win 3–1).

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Prediction Timeline

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

  1. May 09, 2026 · 13:59 UTC Forecast generated
    • Model 1X2 · Livyi Bereh 41.8% · Draw 25.7% · UCSA 32.6%
    • xG · Livyi Bereh 1.45 — UCSA 1.25
  2. May 09, 2026 · 13:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Livyi Bereh 1.24 · Draw 4.82 · UCSA 9.55
    • Implied 1X2 · Livyi Bereh 72.1% · Draw 18.6% · UCSA 9.4%
    • Bookmaker · Pinnacle
  3. May 09, 2026 · 13:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Livyi Bereh 1.24 · Draw 4.82 · UCSA 9.55
    • Implied 1X2 · Livyi Bereh 72.1% · Draw 18.6% · UCSA 9.4%
    • Bookmaker · Pinnacle
  4. May 08, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Livyi Bereh win · 3–1
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 34/100 · Low
  • Validation: Fail
  • Large market gap (30 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 9/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 17:04 UTC Snapshot ID: dp-1739034

Closing Odds 1.24
AI Fair Odds —
CLV Pending
Final Result Livyi Bereh win · Livyi Bereh 3–1 UCSA
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

Model favours Livyi Bereh; market prices Livyi Bereh instead — inputs may be missing or stale.

  • Model: Livyi Bereh 1.45 xG vs UCSA 1.25 → Livyi Bereh 41.8%
  • Market: Livyi Bereh ~72.1% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 62.3% · Over 2.5 37.7%); BTTS Yes (Yes 41.4% · No 58.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes

Historical Recommendation

Historical Decision: Wait

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

October 03, 2026 (UTC)

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Persha Liga Persha Liga — Standings
# TEAM MP W D L PTS
1 Bukovyna 30 26 3 1 81
2 Chornomorets 30 19 8 3 65
3 Livyi Bereh 30 19 6 5 63
4 Ahrobiznes Volochysk 30 16 5 9 53
5 Inhulets 30 12 10 8 46
6 Prykarpattia 30 9 10 11 37
7 Metal Kharkiv 30 10 7 13 37
8 Probiy Horodenka 30 10 6 14 36
9 Yarud Mariupol' 30 9 9 12 36
10 Viktoriya Mykolaivka 30 10 6 14 36
11 UCSA 30 10 6 14 36
12 Nyva Ternopil 30 8 10 12 34
13 Chernihiv 30 8 7 15 31
14 Vorskla Poltava 30 7 9 14 30
15 Podillya Khmelnytskyi 30 4 9 17 21
16 Metalurh Zaporizhya 30 4 7 19 19
# TEAM MP GS GC +/- PTS
1 Bukovyna 30 74 21 +53 81
2 Livyi Bereh 30 50 21 +29 63
3 Chornomorets 30 44 20 +24 65
4 Inhulets 30 41 32 +9 46
5 Viktoriya Mykolaivka 30 37 38 -1 36
6 Ahrobiznes Volochysk 30 36 28 +8 53
7 Prykarpattia 30 33 33 0 37
8 Yarud Mariupol' 30 31 32 -1 36
9 Metal Kharkiv 30 31 35 -4 37
10 Chernihiv 30 30 36 -6 31
11 UCSA 30 30 40 -10 36
12 Probiy Horodenka 30 29 37 -8 36
13 Nyva Ternopil 30 24 34 -10 34
14 Vorskla Poltava 30 23 36 -13 30
15 Podillya Khmelnytskyi 30 20 45 -25 21
16 Metalurh Zaporizhya 30 16 61 -45 19