Predictions / Football / Ukraine. Persha Liga / Inhulets vs Prykarpattia

Prediction Audit: Inhulets vs Prykarpattia Prediction, Odds & AI Betting Tips

May 16, 2026 - 11:00
0 1.45
0 1.25
xG Accuracy: 48%

The model missed the final outcome (Draw 0–0).

The model had projected Inhulets at 41.8%, 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 Over 2.5 Under 2.5 (0 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Inhulets Draw ✖ Incorrect
  • Correct Score Insights 1-0, 1-1, 0-0, 0-1, 2-0 0-0 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The model rates Prykarpattia considerably stronger than the closing betting market.

Largest probability gap: Prykarpattia +5.5 pp

Outcome Model Closing Market Difference Signal
Inhulets 41.8% 43.6% -1.8 pp Aligned
Draw 25.7% 29.4% -3.7 pp Aligned
Prykarpattia 32.6% 27.1% +5.5 pp Model Higher

The statistical model estimates Prykarpattia's win probability at 32.6%, compared with the closing market's implied probability of 27.1%, a difference of 5.5 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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: PRE1.

After full time, the result was Draw 0–0.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Prykarpattia.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Exact score 0–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (0 goals)

Market lesson

The closing market differed from the model on Inhulets by 5.5 percentage points (36.3% vs model 41.8%) — 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 · 13:59 UTC Forecast generated
    • Model 1X2 · Inhulets 41.8% · Draw 25.7% · Prykarpattia 32.6%
    • xG · Inhulets 1.45 — Prykarpattia 1.25
  2. May 16, 2026 · 13:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Inhulets 2.06 · Draw 3.06 · Prykarpattia 3.32
    • Implied 1X2 · Inhulets 43.6% · Draw 29.4% · Prykarpattia 27.1%
    • Bookmaker · Marathonbet
  3. May 16, 2026 · 13:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Inhulets 2.06 · Draw 3.06 · Prykarpattia 3.32
    • Implied 1X2 · Inhulets 43.6% · Draw 29.4% · Prykarpattia 27.1%
    • Bookmaker · Marathonbet
  4. May 16, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 72/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 31, 2026 · 06:24 UTC Snapshot ID: dp-2581360

Closing Odds 3.32
AI Fair Odds —
CLV Pending
Final Result Draw · Inhulets 0–0 Prykarpattia
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

Quick read on how the model reads this matchup.

  • League: Persha Liga
  • Fixture: Inhulets vs Prykarpattia
  • Kickoff: 2026-05-16 14:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Inhulets 1.45 — Prykarpattia 1.25 (total xG ≈ 2.7)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 58.3% · Over 2.5 41.7%); BTTS No (Yes 46.6% · No 53.4%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 46.6% · No 53.4%
  • Correct score (top bin): 1-0 (12.9%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: No Primary Bet

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 03, 2026 (UTC)

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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