Statistics / Football / Ukraine. Persha Liga / Metal Kharkiv vs UCSA

Metal Kharkiv vs UCSA Statistics & Analysis

Metal Kharkiv Metal Kharkiv
May 23, 2026 - 10:00
2 1.45
0 1.25
xG Accuracy: 61%
UCSA UCSA
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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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Metal Kharkiv Metal Kharkiv ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 2-0 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Persha Liga
  • Fixture: Metal Kharkiv vs UCSA
  • Kickoff: 2026-05-23 14:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Metal Kharkiv 1.45 — UCSA 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 64.3% · Implied: 54.4% · Probability edge: +9.9 pts · Est. EV: +9.3%
  • BTTS (model): Yes 35.7% · No 64.3%
  • Correct score (top bin): 1-1 (13.2%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

1X2 can look balanced even when side markets show clearer structure.

Best Bet + Reason

Primary angle highlighted on the page: BTTS No.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

Edges shrink quickly if prices move; always re-check the number on your book.

FAQ

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

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

June 08, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • 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 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
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