Statistics / Football / Ukraine. Premier League / Chornomorets vs Obolon'-Brovar

Chornomorets vs Obolon'-Brovar Statistics & Analysis

Chornomorets Chornomorets
Sep 18, 2026 - 10:00
1 1.29
1 1.31
xG Accuracy: 85%
Obolon'-Brovar Obolon'-Brovar
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

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 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Obolon'-Brovar Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 12, 2026 · 00:58 UTC Snapshot ID: dp-8192837

Closing Odds 2.99
AI Fair Odds —
CLV +0.0%
Final Result Draw · Chornomorets 1–1 Obolon'-Brovar
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

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 Obolon'-Brovar (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 Over 2.5 goals by about 14.9 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Chornomorets (1X2) 34.7 35.8 -1.1
Draw (1X2) 29.7 33.1 -3.5
Obolon'-Brovar (1X2) 35.6 31.0 +4.6
Over 2.5 goals 48.2 33.3 +14.9
Under 2.5 goals 51.8 66.7 -14.9
What this means

In plain terms: the model lands near 48.2% on Over 2.5 goals, while the closing snapshot implied about 33.3%. The difference — about 14.9 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)
Chornomorets (1X2) 2.59 2.59 0.0
Draw (1X2) 2.8 2.8 0.0
Obolon'-Brovar (1X2) 2.99 2.99 0.0
Over 2.5 goals 2.8 2.8 0.0
Under 2.5 goals 1.4 1.4 0.0

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Premier League
  • Fixture: Chornomorets vs Obolon'-Brovar
  • Kickoff: 2026-09-18 10:00:00
  • 1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
  • xG (showing): Chornomorets 1.29 — Obolon'-Brovar 1.31 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 54.5% · Implied: 41.7% · Probability edge: +12.8 pts · Est. EV: +29.7%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

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.

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

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

September 29, 2026 (UTC)

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Back to Statistics
Premier League Premier League — Standings
# TEAM MP W D L PTS
1 Polessya 7 6 0 1 18
2 Shakhtar Donetsk 7 6 0 1 18
3 Karpaty 7 4 2 1 14
4 Dynamo Kyiv 6 4 1 1 13
5 Metalist 1925 Kharkiv 6 4 0 2 12
6 Epitsentr Dunayivtsi 7 2 2 3 8
7 LNZ Cherkasy 7 2 2 3 8
8 Zorya Luhansk 7 2 2 3 8
9 Livyi Bereh 6 1 4 1 7
10 Bukovyna 7 1 4 2 7
11 Veres Rivne 6 1 3 2 6
12 Chornomorets 6 1 2 3 5
13 Kolos Kovalivka 6 1 2 3 5
14 Kryvbas KR 6 1 2 3 5
15 Obolon'-Brovar 7 0 4 3 4
16 Kudrivka 6 0 2 4 2
# TEAM MP GS GC +/- PTS
1 Shakhtar Donetsk 7 15 4 +11 18
2 Polessya 7 15 5 +10 18
3 Karpaty 7 15 5 +10 14
4 Metalist 1925 Kharkiv 6 12 4 +8 12
5 Dynamo Kyiv 6 9 5 +4 13
6 Kryvbas KR 6 7 10 -3 5
7 Zorya Luhansk 7 7 11 -4 8
8 Epitsentr Dunayivtsi 7 6 7 -1 8
9 Kolos Kovalivka 6 6 10 -4 5
10 LNZ Cherkasy 7 5 8 -3 8
11 Livyi Bereh 6 4 3 +1 7
12 Veres Rivne 6 4 5 -1 6
13 Bukovyna 7 4 6 -2 7
14 Kudrivka 6 4 16 -12 2
15 Chornomorets 6 3 7 -4 5
16 Obolon'-Brovar 7 2 12 -10 4
Premier League Ukraine. Premier League Predictions