Predictions / Football / Ukraine. Premier League / Kudrivka vs LNZ Cherkasy

Kudrivka vs LNZ Cherkasy Prediction, Odds & AI Betting Tips

May 23, 2026 - 15:00
0.62
1.47
14% 29% 56%
Betting Primary Pick (highest +EV)
Under 2.5 — Value
EV 10.2% Model 65.2%
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.
🔥 Strong steam · Kudrivka ↑ +26.3% · 9/12 · 92 A+
Market steam Strong
Current EV Negative
Closing line pressure High
Value remaining Limited
Why The model prices Under 2.5 goals about 9.4 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 PRE5 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (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 9.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Kudrivka (1X2) 14.2 13.6 +0.6
Draw (1X2) 29.4 23.4 +6.0
LNZ Cherkasy (1X2) 56.4 63.1 -6.6
Over 2.5 goals 34.8 44.2 -9.4
Under 2.5 goals 65.2 55.8 +9.4
What this means

In plain terms: the model lands near 65.2% on Under 2.5 goals, while the closing snapshot implied about 55.8%. The difference — about 9.4 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 → PRE5 · 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 (PRE5) Implied Δ (pp)
Kudrivka (1X2) 6.83 6.83 0.0
Draw (1X2) 3.97 3.97 0.0
LNZ Cherkasy (1X2) 1.47 1.47 0.0
Over 2.5 goals 2.13 2.13 0.0
Under 2.5 goals 1.69 1.69 0.0
Both Teams To Score Lean
Yes 37.0% · No 62.9%
EV Yes -13.42% · EV No 1.9%
Value lean: BTTS No
1X2 Poor value
LNZ Cherkasy · Model 56.4%
implied 63.1%
Main consensus market · EV: -12.6%
Best available bookmaker line: +-0.8% EV
Some outlier bookmaker prices may still show small theoretical value vs. the consensus line above.
Correct Score Insights Longshot / fun
Most Likely
0-1
Probability 18.2%
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: 7.0 / 10
  • Primary line identified (+1.0)
  • Primary EV above 10% (+1.0)
O/U 2.5: EV Over -21.7% · EV Under 10.19% (9 book pairs)
BTTS: EV Yes -13.42% · EV No 1.9%
Should you bet on this match? Only where +EV is shown; always compare with your own limits.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Premier League
  • Fixture: Kudrivka vs LNZ Cherkasy
  • Kickoff: 2026-05-23 15:00:00
  • 1X2 (model): Home 14.2% · Draw 29.4% · Away 56.4%
  • xG (showing): Kudrivka 0.62 — LNZ Cherkasy 1.47 (total xG ≈ 2.09)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 65.2% · Implied: 56.3% · Probability edge: +8.9 pts · Est. EV: +10.2%
  • BTTS (model): Yes 37.0% · No 62.9%
  • Correct score (top bin): 0-1 (18.2%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

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

Best Bet + Reason

Primary angle highlighted on the page: Under 2.5 goals.

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

Only one modest +EV edge is highlighted here; size cautiously and re-check if odds move.

FAQ

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.

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.

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.

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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Premier League Premier LeagueStandings
# TEAM MP W D L PTS
1 Shakhtar Donetsk 29 22 6 1 72
2 LNZ Cherkasy 29 17 6 6 57
3 Polessya 29 17 5 7 56
4 Dynamo Kyiv 29 16 6 7 54
5 Metalist 1925 Kharkiv 29 12 12 5 48
6 Kryvbas KR 29 13 8 8 47
7 Kolos Kovalivka 29 12 10 7 46
8 Zorya Luhansk 29 11 10 8 43
9 Karpaty 29 10 11 8 41
10 Veres Rivne 29 7 10 12 31
11 Obolon'-Brovar 29 7 10 12 31
12 Epitsentr Dunayivtsi 29 8 7 14 31
13 Kudrivka 29 7 7 15 28
14 Ruh Lviv 29 6 3 20 21
15 Oleksandria 29 3 7 19 16
16 SK Poltava 29 2 6 21 12
# TEAM MP GS GC +/- PTS
1 Shakhtar Donetsk 29 71 20 +51 72
2 Dynamo Kyiv 29 63 34 +29 54
3 Kryvbas KR 29 52 45 +7 47
4 Polessya 29 49 21 +28 56
5 Zorya Luhansk 29 40 35 +5 43
6 Karpaty 29 39 29 +10 41
7 LNZ Cherkasy 29 38 17 +21 57
8 Epitsentr Dunayivtsi 29 36 45 -9 31
9 Metalist 1925 Kharkiv 29 35 19 +16 48
10 Kudrivka 29 30 45 -15 28
11 Kolos Kovalivka 29 29 25 +4 46
12 Obolon'-Brovar 29 28 48 -20 31
13 Veres Rivne 29 26 39 -13 31
14 Oleksandria 29 23 57 -34 16
15 SK Poltava 29 23 74 -51 12
16 Ruh Lviv 29 20 49 -29 21
# TEAM MP xG xGC +/- PTS
1 Dynamo Kyiv 29 30.7 10.1 +20.6 54
2 Shakhtar Donetsk 29 29.8 9.8 +20.0 72
3 Polessya 29 35.3 17.0 +18.3 56
4 LNZ Cherkasy 29 27.3 12.2 +15.1 57
5 Metalist 1925 Kharkiv 29 22.0 12.7 +9.3 48
6 Karpaty 29 24.4 20.0 +4.4 41
7 Kolos Kovalivka 29 22.6 22.2 +0.4 46
8 Zorya Luhansk 29 21.1 21.2 -0.1 43
9 Veres Rivne 29 12.6 16.5 -3.9 31
10 Obolon'-Brovar 29 17.2 23.2 -6.0 31
11 Kryvbas KR 29 21.4 27.8 -6.4 47
12 Ruh Lviv 29 16.6 23.8 -7.2 21
13 Kudrivka 29 17.1 27.9 -10.8 28
14 Epitsentr Dunayivtsi 29 18.9 32.2 -13.3 31
15 Oleksandria 29 10.5 25.0 -14.5 16
16 SK Poltava 29 10.1 36.0 -25.9 12