Боливар vs Блуминг Statistics & Analysis

Боливар

Sep 27, 2026 - 21:15

3 1.40

0 1.20

xG Accuracy: 46%

Блуминг

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Отслеживаемые рынки против результата матча

Каждая строка сравнивает предматчевый уклон модели с результатом матча.

Рынок Прогноз Результат Исход
Тотал больше / меньше 2.5 Тотал меньше 2.5 Тотал больше 2.5 (3 голы) ✖ Неверно
Обе забьют Обе забьют (BTTS) Да Нет ✖ Неверно
1X2 Боливар Боливар ✔ Верно
Инсайты по точному счету 1-1, 1-0, 0-1, 2-1, 1-2 3-0 ✖ Неверно

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 02:27 UTC Snapshot ID: dp-10112255

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Боливар win · Боливар 3–0 Блуминг

Prediction ✔ Correct

Decision Grade F

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

AI обзор матча

AI краткий обзор матча

Pre-match snapshot for this fixture.

League: Кубок профессионального дивизиона Боливии
Fixture: Боливар vs Блуминг
Kickoff: 2026-09-27 21:15:00
1X2 (model): Home 40.0% · Draw 29.5% · Away 30.6%
xG (showing): Боливар 1.4 — Блуминг 1.2 (total xG ≈ 2.6)
Value headline: None (actionable) — best tracked EV is about +1.1%, still below the +2.0% minimum for a headline / default stake (no default bet).
Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.3% · No 45.7%
Correct score (top bin): 1-1 (12.5%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Историческая рекомендация

Историческое решение: AI–Market Conflict - No Primary Bet

Исход: Validated — Pre-match lean validated against the full-time result.

Факторы риска, учтенные до начала матча

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%).