KCCA vs Kataka Statistics & Analysis

Sep 16, 2026 - 13:00
1 1.45
0 1.15
xG Accuracy: 64%
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Mercati tracciati vs risultato finale

Ogni riga confronta la tendenza del modello pre-partita con il risultato finale.

  • Mercato Previsione Risultato Esito
  • Over / Under 2.5 Under 2.5 Under 2.5 (1 gol) ✔ Corretto
  • Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì No ✖ Errato
  • 1X2 KCCA KCCA ✔ Corretto
  • Approfondimenti sul Risultato Esatto 1-1, 1-0, 2-1, 0-1, 2-0 1-0 ✔ Corretto

Validation Report

Immutable Snapshot

Prediction Time: Sep 10, 2026 · 08:44 UTC Snapshot ID: dp-7885448

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result KCCA win · KCCA 1–0 Kataka
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Briefing AI della partita

Riepilogo AI della partita

Pre-match snapshot for this fixture.

  • League: Premier League
  • Fixture: KCCA vs Kataka
  • Kickoff: 2026-09-16 13:00:00
  • 1X2 (model): Home 42.4% · Draw 29.2% · Away 28.4%
  • xG (showing): KCCA 1.45 — Kataka 1.15 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • 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 53.9% · No 46.1%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.9% · No 46.1%
  • Correct score (top bin): 1-1 (12.4%)

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.

Raccomandazione Storica

Decisione Storica: No Primary Bet

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

Fattori di Rischio Considerati Prima del Calcio d'Inizio

  • 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%).

Ultimo aggiornamento

September 28, 2026 (UTC)

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Torna alle Statistiche
Premier League Premier League — Classifiche
# SQUADRA PG V P S PT
1 BUL 4 4 0 0 12
2 NEC 4 3 1 0 10
3 SC Villa 4 3 1 0 10
4 Blacks Power 4 3 0 1 9
5 Police 4 2 1 1 7
6 Entebbe UPPC 4 2 1 1 7
7 Lugazi 4 2 0 2 6
8 UPDF 4 1 2 1 5
9 Express 4 1 1 2 4
10 KCCA 4 1 1 2 4
11 Vipers 2 1 0 1 3
12 Maroons 4 1 0 3 3
13 URA 3 1 0 2 3
14 Kitara 2 0 2 0 2
15 Mbarara City 3 0 2 1 2
16 Kataka 3 0 1 2 1
17 Kigezi HomeBoyz 3 0 1 2 1
18 Ntugasaze 4 0 0 4 0
# SQUADRA PG GS GC +/- PT
1 BUL 4 11 3 +8 12
2 NEC 4 9 2 +7 10
3 SC Villa 4 7 1 +6 10
4 Blacks Power 4 5 3 +2 9
5 Maroons 4 5 6 -1 3
6 Lugazi 4 4 6 -2 6
7 Police 4 3 1 +2 7
8 Vipers 2 3 1 +2 3
9 Entebbe UPPC 4 3 2 +1 7
10 Express 4 3 4 -1 4
11 URA 3 3 6 -3 3
12 UPDF 4 2 2 0 5
13 Kitara 2 2 2 0 2
14 Ntugasaze 4 2 11 -9 0
15 KCCA 4 1 4 -3 4
16 Kataka 3 1 5 -4 1
17 Kigezi HomeBoyz 3 1 5 -4 1
18 Mbarara City 3 0 1 -1 2