Predictions / Football / Ukraine. Persha Liga / Prykarpattia vs Ahrobiznes Volochysk

Prykarpattia vs Ahrobiznes Volochysk Prediction, Odds & AI Betting Tips

May 23, 2026 - 14:00
1.45
1.25
42% 26% 33%
Best +EV (tracked markets)
BTTS Yes — Value
EV 2.8% Model 47.8%
Not a dominant outcome (model probability is below 50% on this leg).
Strongest +EV among tracked markets here; stricter Primary rules (e.g. minimum EV) were not met.
Steam vs. value
Market momentum is strong, but current odds may already be over-adjusted. Steam detected — model value on this line may be priced out.
This match appears on the market-movement board for aggressive line repricing — not because 1X2 is currently a positive-EV bet.
⚡ Sharp-led move · Ahrobiznes Volochysk ↓ -11.8% · 1/11 · 32 C
Market steam Detected
Current EV Negative
Closing line pressure Normal
Value remaining Limited
Why The model prices Prykarpattia (1X2) about 3.7 percentage points above closing implied — the main structural read vs. the line.

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Prykarpattia (1X2), Ahrobiznes Volochysk (1X2), Over 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Prykarpattia (1X2) by about 3.7 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Prykarpattia (1X2) 41.8 38.1 +3.7
Draw (1X2) 25.7 31.9 -6.2
Ahrobiznes Volochysk (1X2) 32.6 30.1 +2.5
Over 2.5 goals 37.7 36.2 +1.5
Under 2.5 goals 62.3 63.8 -1.5
What this means

In plain terms: the model lands near 41.8% on Prykarpattia (1X2), while the closing snapshot implied about 38.1%. The difference — about 3.7 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Prykarpattia (1X2) 2.36 2.36 0.0
Draw (1X2) 2.82 2.82 0.0
Ahrobiznes Volochysk (1X2) 2.99 2.99 0.0
Over 2.5 goals 2.5 2.5 0.0
Under 2.5 goals 1.42 1.42 0.0
Over / Under 2.5 Poor value
Over 2.5 37.7% · Under 2.5 62.3%
EV Over -5.0% · EV Under -6.55%
Value lean: Over 2.5
1X2 Poor value
Prykarpattia · Model 41.8%
implied 38.1%
Main consensus market · EV: -6.4%
Correct Score Insights Longshot / fun
Most Likely
0-1
Probability 13.3%
Correct score is high-variance — small stakes for fun only.
Betting decision (model vs. market EV)
Execution: No Primary / sized alternative at standard thresholds — other markets may still show +EV in the cards below.
Market insight: A small model–price gap may exist on marginal or high-variance legs — not a default bankroll bet; size down if you experiment. (Technical: at least one tracked line clears the +EV gate at ≥2.0% on best available odds — this does not imply a default bet.)
Decision strength: 4.0 / 10
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
O/U 2.5: EV Over -5.0% · EV Under -6.55% (7 book pairs)
BTTS: EV Yes 2.77% · EV No -12.83%
Should you bet on this match? Discretionary read only: +EV may appear on thin or longshot legs; compare with your limits.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Persha Liga
  • Fixture: Prykarpattia vs Ahrobiznes Volochysk
  • Kickoff: 2026-05-23 14:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Prykarpattia 1.45 — Ahrobiznes Volochysk 1.25 (total xG ≈ 2.7)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 47.8% · Implied: 44.2% · Probability edge: +3.6 pts · Est. EV: +2.8%
  • BTTS (model): Yes 47.8% · No 52.2%
  • Correct score (top bin): 0-1 (13.3%)

Totals and BTTS are evaluated against current market prices where available.

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

Best Bet + Reason

Strongest +EV line among tracked markets (not shown as a full Primary under current engine thresholds): BTTS Yes.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

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.

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.

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

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 24, 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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Persha Liga Persha LigaStandings
# TEAM MP W D L PTS
1 Bukovyna 29 25 3 1 78
2 Chornomorets 29 18 8 3 62
3 Livyi Bereh 29 18 6 5 60
4 Ahrobiznes Volochysk 29 15 5 9 50
5 Inhulets 29 12 10 7 46
6 Probiy Horodenka 29 10 6 13 36
7 Viktoriya Mykolaivka 29 10 6 13 36
8 Nyva Ternopil 29 8 10 11 34
9 Prykarpattia 29 8 10 11 34
10 Metal Kharkiv 28 9 7 12 34
11 Yarud Mariupol' 29 8 9 12 33
12 UCSA 29 9 6 14 33
13 Chernihiv 27 8 6 13 30
14 Vorskla Poltava 29 7 8 14 29
15 Podillya Khmelnytskyi 29 4 8 17 20
16 Metalurh Zaporizhya 28 4 6 18 18
# TEAM MP GS GC +/- PTS
1 Bukovyna 29 70 21 +49 78
2 Livyi Bereh 29 47 20 +27 60
3 Chornomorets 29 43 20 +23 62
4 Inhulets 29 40 29 +11 46
5 Viktoriya Mykolaivka 29 37 36 +1 36
6 Ahrobiznes Volochysk 29 35 28 +7 50
7 Prykarpattia 29 30 33 -3 34
8 Yarud Mariupol' 29 29 32 -3 33
9 Metal Kharkiv 28 29 33 -4 34
10 Chernihiv 27 29 33 -4 30
11 Probiy Horodenka 29 29 34 -5 36
12 UCSA 29 27 40 -13 33
13 Nyva Ternopil 29 24 31 -7 34
14 Vorskla Poltava 29 22 35 -13 29
15 Podillya Khmelnytskyi 29 19 44 -25 20
16 Metalurh Zaporizhya 28 16 57 -41 18