Predictions / Football / Ukraine. Premier League / Kudrivka vs Ruh Lviv

Prediction Audit: Kudrivka vs Ruh Lviv Prediction, Odds & AI Betting Tips

Kudrivka Kudrivka
May 14, 2026 - 10:00
2 1.09
1 1.13
xG Accuracy: 75%
Ruh Lviv Ruh Lviv

The model missed the final outcome (Kudrivka win 2–1).

The model had projected Ruh Lviv at 34.8%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Ruh Lviv Kudrivka ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 0-0, 1-2 2-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Kudrivka higher than the statistical model.

Largest probability gap: Kudrivka -11.1 pp

Outcome Model Closing Market Difference Signal
Kudrivka 32.8% 43.9% -11.1 pp Market Higher
Draw 32.4% 30.0% +2.5 pp Aligned
Ruh Lviv 34.8% 26.1% +8.6 pp Model Higher

The closing market estimates Kudrivka's win probability at 43.9%, compared with the model's estimate of 32.8%, a difference of 11.1 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE5.

After full time, the result was Kudrivka win 2–1.

Market Assessment

The market is materially more optimistic about Kudrivka than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

The closing market differed from the model on Ruh Lviv by 11.1 percentage points (45.9% vs model 34.8%) — in this case the market view proved closer.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. May 16, 2026 · 14:57 UTC Forecast generated
    • Model 1X2 · Kudrivka 32.8% · Draw 32.5% · Ruh Lviv 34.7%
    • xG · Kudrivka 1.09 — Ruh Lviv 1.13
  2. May 16, 2026 · 14:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Kudrivka 2.14 · Draw 3.13 · Ruh Lviv 3.59
    • Implied 1X2 · Kudrivka 43.9% · Draw 30.0% · Ruh Lviv 26.1%
    • Bookmaker · Pinnacle
  3. May 16, 2026 · 14:57 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Kudrivka 2.14 · Draw 3.13 · Ruh Lviv 3.59
    • Implied 1X2 · Kudrivka 43.9% · Draw 30.0% · Ruh Lviv 26.1%
    • Bookmaker · Pinnacle
  4. May 14, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Kudrivka win · 2–1
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 15/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 11:02 UTC Snapshot ID: dp-1859974

Closing Odds 2.14
AI Fair Odds —
CLV Pending
Final Result Kudrivka win · Kudrivka 2–1 Ruh Lviv
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Premier League
  • Fixture: Kudrivka vs Ruh Lviv
  • Kickoff: 2026-05-16 15:00:00
  • 1X2 (model): Home 32.8% · Draw 32.5% · Away 34.7%
  • xG (showing): Kudrivka 1.09 — Ruh Lviv 1.13 (total xG ≈ 2.22)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 61.7% · Implied: 57.1% · Probability edge: +4.6 pts · Est. EV: +11.1%
  • BTTS (model): Yes 46.7% · No 53.3%
  • Correct score (top bin): 1-1 (13.4%)

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.

Historical Recommendation

Historical Decision: Monitor

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • 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%).

Last Updated

October 01, 2026 (UTC)

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Premier League Premier League — Standings
# TEAM MP W D L PTS
1 Shakhtar Donetsk 30 22 6 2 72
2 LNZ Cherkasy 30 18 6 6 60
3 Polessya 30 18 5 7 59
4 Dynamo Kyiv 30 17 6 7 57
5 Metalist 1925 Kharkiv 30 13 12 5 51
6 Kolos Kovalivka 30 13 10 7 49
7 Kryvbas KR 30 13 9 8 48
8 Zorya Luhansk 30 12 10 8 46
9 Karpaty 30 10 11 9 41
10 Epitsentr Dunayivtsi 30 8 8 14 32
11 Veres Rivne 30 7 10 13 31
12 Obolon'-Brovar 30 7 10 13 31
13 Kudrivka 30 7 7 16 28
14 Ruh Lviv 30 6 3 21 21
15 Oleksandria 30 3 8 19 17
16 SK Poltava 30 2 7 21 13
# TEAM MP GS GC +/- PTS
1 Shakhtar Donetsk 30 71 21 +50 72
2 Dynamo Kyiv 30 66 36 +30 57
3 Kryvbas KR 30 53 46 +7 48
4 Polessya 30 51 21 +30 59
5 Zorya Luhansk 30 42 36 +6 46
6 Karpaty 30 40 31 +9 41
7 LNZ Cherkasy 30 39 17 +22 60
8 Metalist 1925 Kharkiv 30 36 19 +17 51
9 Epitsentr Dunayivtsi 30 36 45 -9 32
10 Kudrivka 30 32 48 -16 28
11 Kolos Kovalivka 30 30 25 +5 49
12 Obolon'-Brovar 30 28 49 -21 31
13 Veres Rivne 30 26 40 -14 31
14 Oleksandria 30 24 58 -34 17
15 SK Poltava 30 23 74 -51 13
16 Ruh Lviv 30 20 51 -31 21
# TEAM MP xG xGC +/- PTS
1 Dynamo Kyiv 30 30.7 10.1 +20.6 57
2 Shakhtar Donetsk 30 29.8 9.8 +20.0 72
3 Polessya 30 36.9 18.0 +18.9 59
4 LNZ Cherkasy 30 28.4 12.4 +16.0 60
5 Metalist 1925 Kharkiv 30 22.0 12.7 +9.3 51
6 Karpaty 30 24.4 20.0 +4.4 41
7 Kolos Kovalivka 30 22.6 22.2 +0.4 49
8 Zorya Luhansk 30 22.1 22.9 -0.8 46
9 Veres Rivne 30 12.6 16.5 -3.9 31
10 Obolon'-Brovar 30 17.2 23.2 -6.0 31
11 Kryvbas KR 30 21.4 27.8 -6.4 48
12 Ruh Lviv 30 16.6 23.8 -7.2 21
13 Kudrivka 30 17.4 29.0 -11.6 28
14 Epitsentr Dunayivtsi 30 18.9 32.2 -13.3 32
15 Oleksandria 30 10.5 25.0 -14.5 17
16 SK Poltava 30 10.1 36.0 -25.9 13
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