Statistics / Football / Eswatini. Premier League / Viva Stumbo vs Amawele

Viva Stumbo vs Amawele Statistics & Analysis

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Viva Stumbo
Jun 14, 2026 - 13:00
1 1.21
2 1.06
xG Accuracy: 73%
Amawele Amawele
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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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Viva Stumbo Amawele ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 1-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 00:40 UTC Snapshot ID: dp-1779924

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Amawele win · Viva Stumbo 1–2 Amawele
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Premier League
  • Fixture: Viva Stumbo vs Amawele
  • Kickoff: 2026-06-14 13:00:00
  • 1X2 (model): Home 37.7% · Draw 31.9% · Away 30.3%
  • xG (showing): Viva Stumbo 1.21 — Amawele 1.06 (total xG ≈ 2.27)
  • 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 60.4% · Over 2.5 39.6%); BTTS No (Yes 47.6% · No 52.4%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 47.6% · No 52.4%
  • Correct score (top bin): 1-1 (13.3%)

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.

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 Nsingizini Hotspurs 30 20 5 5 65
2 Manzini Sea Birds 30 17 5 8 56
3 Young Buffaloes 30 16 6 8 54
4 Green Mamba 30 12 12 6 48
5 Highlanders 30 12 10 8 46
6 Moneni Pirates 30 11 11 8 44
7 Mbabane Swallows 30 12 8 10 44
8 Royal Leopards 30 11 11 8 44
9 Tabankulu 30 12 5 13 41
10 Rangers FC 30 10 10 10 40
11 Ezulwini United 29 10 8 11 38
12 Ubombo Sugar 30 9 8 13 35
13 Amawele 30 8 8 14 32
14 Malanti Chiefs 30 7 9 14 30
15 Sisonkhe 29 7 5 17 26
16 Manzini Wanderers 30 2 5 23 11
# TEAM MP GS GC +/- PTS
1 Royal Leopards 30 51 37 +14 44
2 Manzini Sea Birds 30 48 28 +20 56
3 Nsingizini Hotspurs 30 44 14 +30 65
4 Young Buffaloes 30 43 23 +20 54
5 Highlanders 30 40 29 +11 46
6 Tabankulu 30 34 32 +2 41
7 Mbabane Swallows 30 33 27 +6 44
8 Moneni Pirates 30 31 22 +9 44
9 Ezulwini United 29 31 32 -1 38
10 Green Mamba 30 30 22 +8 48
11 Rangers FC 30 29 28 +1 40
12 Ubombo Sugar 30 25 38 -13 35
13 Amawele 30 24 37 -13 32
14 Malanti Chiefs 30 20 37 -17 30
15 Sisonkhe 29 20 47 -27 26
16 Manzini Wanderers 30 17 67 -50 11