Statistics / Football / Malawi. Super League / Blue Eagles vs Red Lions

Blue Eagles vs Red Lions Statistics & Analysis

Blue Eagles Blue Eagles
Jul 25, 2026 - 12:30
3 1.37
2 1.23
xG Accuracy: 52%
Red Lions Red Lions
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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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Blue Eagles Blue Eagles ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:57 UTC Snapshot ID: dp-1453638

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Blue Eagles win · Blue Eagles 3–2 Red Lions
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Malawi Super League
  • Fixture: Blue Eagles vs Red Lions
  • Kickoff: 2026-07-25 12:30:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Blue Eagles 1.37 — Red Lions 1.23 (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): Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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
Super League Super League — Standings
# TEAM MP W D L PTS
1 Blue Eagles 15 10 1 4 31
2 Nyasa Big Bullets 15 8 6 1 30
3 Be Forward Wanderers 15 8 5 2 29
4 Silver Strikers 15 8 5 2 29
5 Masters FC 15 6 4 5 22
6 Moyale Barracks 15 5 6 4 21
7 Chitipa United 15 6 3 6 21
8 Mitundu Baptist 15 5 5 5 20
9 Red Lions 15 5 5 5 20
10 CIVO United 15 6 2 7 20
11 Ekhaya 15 4 6 5 18
12 Dedza Dynamos 15 3 6 6 15
13 Karonga United 15 3 5 7 14
14 MAFCO 15 3 4 8 13
15 Kamuzu Barracks 15 3 3 9 12
16 Creck 15 2 4 9 10
# TEAM MP GS GC +/- PTS
1 Be Forward Wanderers 15 27 11 +16 29
2 Blue Eagles 15 24 16 +8 31
3 Silver Strikers 15 23 10 +13 29
4 Nyasa Big Bullets 15 20 7 +13 30
5 Masters FC 15 17 16 +1 22
6 Moyale Barracks 15 16 17 -1 21
7 Ekhaya 15 15 14 +1 18
8 Kamuzu Barracks 15 15 22 -7 12
9 Karonga United 15 14 23 -9 14
10 Mitundu Baptist 15 12 13 -1 20
11 Red Lions 15 12 13 -1 20
12 MAFCO 15 12 17 -5 13
13 Chitipa United 15 11 16 -5 21
14 Creck 15 11 20 -9 10
15 CIVO United 15 10 14 -4 20
16 Dedza Dynamos 15 9 19 -10 15