Predictions / Football / Ukraine. Persha Liga / Nyva Ternopil vs Vorskla Poltava

Nyva Ternopil vs Vorskla Poltava Prediction, Odds & AI Betting Tips

Nyva Ternopil Nyva Ternopil
May 23, 2026 - 14:00
1.45
1.25
42% 26% 33%
Vorskla Poltava Vorskla Poltava
Betting Primary Pick (highest +EV)
BTTS No — Value
EV 32.3% Model 77.8%
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.
📈 Steam · Nyva Ternopil ↑ +11.0% · 10/10 · 70 A
Market steam Moderate
Current EV Negative
Closing line pressure High
Value remaining Limited
Why The model prices Under 2.5 goals about 6.9 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 Nyva Ternopil (1X2), Under 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 Under 2.5 goals by about 6.9 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Nyva Ternopil (1X2) 41.8 35.7 +6.0
Draw (1X2) 25.7 31.1 -5.4
Vorskla Poltava (1X2) 32.6 33.2 -0.7
Over 2.5 goals 31.0 37.9 -6.9
Under 2.5 goals 69.0 62.1 +6.9
What this means

In plain terms: the model lands near 69.0% on Under 2.5 goals, while the closing snapshot implied about 62.1%. The difference — about 6.9 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)
Nyva Ternopil (1X2) 2.52 2.52 0.0
Draw (1X2) 2.9 2.9 0.0
Vorskla Poltava (1X2) 2.71 2.71 0.0
Over 2.5 goals 2.41 2.41 0.0
Under 2.5 goals 1.47 1.47 0.0
Over / Under 2.5 Lean
Over 2.5 31.0% · Under 2.5 69.0%
EV Over -24.36% · EV Under 2.12%
Value lean: Under 2.5
1X2 Poor value
Nyva Ternopil · Model 41.8%
implied 35.7%
Main consensus market · EV: -3.7%
Correct Score Insights Longshot / fun
Most Likely
1-0
Probability 14.9%
Correct score is high-variance — small stakes for fun only.
Betting decision (model vs. market EV)
Value opportunity — At least one market shows estimated +EV at current best decimal odds (threshold: 2.0%).
Decision strength: 6.5 / 10
  • Primary line identified (+1.0)
  • Primary EV above 10% (+1.0)
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
  • Two or more valid +EV lines at threshold (+0.5)
O/U 2.5: EV Over -24.36% · EV Under 2.12% (7 book pairs)
BTTS: EV Yes -54.05% · EV No 32.26%
Should you bet on this match? Only where +EV is shown; always compare with your own limits.
OddsGPT Decision Engine v2.1.0(EV + Market Structure + Risk Adjustment) Check Odds at 1xBet

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: Nyva Ternopil vs Vorskla Poltava
  • Kickoff: 2026-05-23 14:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Nyva Ternopil 1.45 — Vorskla Poltava 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 77.8% · Implied: 54.4% · Probability edge: +23.4 pts · Est. EV: +32.3%
  • BTTS (model): Yes 22.2% · No 77.8%
  • Correct score (top bin): 1-0 (14.9%)

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

Early match state can move realised goals away from pre-kick projections.

Best Bet + Reason

Primary pick from the decision engine: 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

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.

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.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

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.

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 23, 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 Liga — Standings
# TEAM MP W D L PTS
1 Bukovyna 28 25 3 0 78
2 Livyi Bereh 29 18 6 5 60
3 Chornomorets 28 17 8 3 59
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 Nyva Ternopil 28 8 9 11 33
9 Probiy Horodenka 28 9 6 13 33
10 Prykarpattia 28 8 9 11 33
11 Yarud Mariupol' 28 8 8 12 32
12 Metal Kharkiv 27 8 7 12 31
13 Chernihiv 26 8 6 12 30
14 Vorskla Poltava 28 7 7 14 28
15 Podillya Khmelnytskyi 28 4 7 17 19
16 Metalurh Zaporizhya 28 4 6 18 18
# TEAM MP GS GC +/- PTS
1 Bukovyna 28 69 18 +51 78
2 Livyi Bereh 29 47 20 +27 60
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' 28 29 32 -3 32
9 Chernihiv 26 28 31 -3 30
10 Probiy Horodenka 28 28 34 -6 33
11 Metal Kharkiv 27 27 33 -6 31
12 UCSA 28 27 38 -11 33
13 Nyva Ternopil 28 23 30 -7 33
14 Vorskla Poltava 28 21 34 -13 28
15 Podillya Khmelnytskyi 28 19 44 -25 19
16 Metalurh Zaporizhya 28 16 57 -41 18
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