Statistics / Football / South-Africa. 1st Division / Magesi vs The Bees

Magesi vs The Bees Statistics & Analysis

Magesi Magesi
Aug 29, 2026 - 13:00
1 1.31
0 1.29
xG Accuracy: 64%
The Bees The Bees
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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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Magesi Magesi ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Aug 22, 2026 · 01:45 UTC Snapshot ID: dp-4918578

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

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

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

  • League: 1st Division
  • Fixture: Magesi vs The Bees
  • Kickoff: 2026-08-28 13:00:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): Magesi 1.31 — The Bees 1.29 (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against 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 28, 2026 (UTC)

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Back to Statistics
1st Division 1st Division — Standings
# TEAM MP W D L PTS
1 Magesi 5 4 1 0 13
2 Casric Stars 5 4 0 1 12
3 Leicesterfield 5 3 1 1 10
4 Highbury 5 3 1 1 10
5 Hope FC 5 3 0 2 9
6 Cape Town City 5 2 2 1 8
7 Upington City 5 2 2 1 8
8 Gomora United FC 5 2 2 1 8
9 Lerumo Lions 5 2 1 2 7
10 Hungry Lions 5 1 3 1 6
11 University of Pretoria 5 1 2 2 5
12 Midlands Wanderers 5 1 1 3 4
13 NWU FC 5 0 3 2 3
14 The Bees 5 1 0 4 3
15 Orbit College 5 0 2 3 2
16 Venda FC 5 0 1 4 1
# TEAM MP GS GC +/- PTS
1 Upington City 5 9 8 +1 8
2 Leicesterfield 5 8 6 +2 10
3 Magesi 5 7 2 +5 13
4 Casric Stars 5 7 3 +4 12
5 Cape Town City 5 6 4 +2 8
6 Hungry Lions 5 6 5 +1 6
7 Gomora United FC 5 6 6 0 8
8 Lerumo Lions 5 5 4 +1 7
9 University of Pretoria 5 5 6 -1 5
10 Highbury 5 4 2 +2 10
11 Hope FC 5 3 3 0 9
12 Midlands Wanderers 5 3 4 -1 4
13 Venda FC 5 3 9 -6 1
14 NWU FC 5 2 5 -3 3
15 The Bees 5 2 6 -4 3
16 Orbit College 5 1 4 -3 2