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

Livyi Bereh vs UCSA Statistics & Analysis

May 08, 2026 - 13:00
3 1.45
1 1.25
xG Accuracy: 61%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • 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 3-1 ✖ Incorrect

AI match briefing

AI Match Summary

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

  • League: Persha Liga
  • Fixture: Livyi Bereh vs UCSA
  • Kickoff: 2026-05-09 14:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Livyi Bereh 1.45 — UCSA 1.25 (total xG ≈ 2.7)
  • 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 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
  • BTTS (model): Yes 41.4% · No 58.6%
  • Correct score (top bin): 1-0 (15.0%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

Best Bet + Reason

No bankroll-sized bet is implied here.

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

Re-check after material price moves; edges appear and disappear with liquidity.

FAQ

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

Risk Factors

  • 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%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 17, 2026 (UTC)

How to use this
  • When there is no Primary line, compare the +EV rows in the market cards below (not only 1X2).
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
Persha Liga Persha LigaStandings
# TEAM MP W D L PTS
1 Bukovyna 28 25 3 0 78
2 Chornomorets 28 17 8 3 59
3 Livyi Bereh 28 17 6 5 57
4 Ahrobiznes Volochysk 28 15 4 9 49
5 Inhulets 28 11 10 7 43
6 Viktoriya Mykolaivka 28 10 6 12 36
7 UCSA 28 9 6 13 33
8 Prykarpattia 28 8 9 11 33
9 Probiy Horodenka 27 9 5 13 32
10 Yarud Mariupol' 27 8 7 12 31
11 Nyva Ternopil 27 7 9 11 30
12 Chernihiv 26 8 6 12 30
13 Metal Kharkiv 26 8 6 12 30
14 Vorskla Poltava 27 7 6 14 27
15 Podillya Khmelnytskyi 27 4 7 16 19
16 Metalurh Zaporizhya 27 4 6 17 18
# TEAM MP GS GC +/- PTS
1 Bukovyna 28 69 18 +51 78
2 Livyi Bereh 28 43 20 +23 57
3 Chornomorets 28 40 19 +21 59
4 Inhulets 28 38 28 +10 43
5 Viktoriya Mykolaivka 28 37 35 +2 36
6 Ahrobiznes Volochysk 28 34 27 +7 49
7 Prykarpattia 28 29 32 -3 33
8 Yarud Mariupol' 27 29 32 -3 31
9 Chernihiv 26 28 31 -3 30
10 Probiy Horodenka 27 28 34 -6 32
11 UCSA 28 27 38 -11 33
12 Metal Kharkiv 26 26 32 -6 30
13 Nyva Ternopil 27 21 29 -8 30
14 Vorskla Poltava 27 20 33 -13 27
15 Podillya Khmelnytskyi 27 18 42 -24 19
16 Metalurh Zaporizhya 27 16 53 -37 18