Statistics / Football / Rwanda. National Soccer League / Etincelles vs Musanze

Etincelles vs Musanze Statistics & Analysis

Etincelles Etincelles
Sep 15, 2026 - 13:00
1 1.42
0 1.18
xG Accuracy: 64%
Musanze Musanze
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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 Etincelles Etincelles ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 1-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 09, 2026 · 02:16 UTC Snapshot ID: dp-7701686

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Etincelles win · Etincelles 1–0 Musanze
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: National Soccer League
  • Fixture: Etincelles vs Musanze
  • Kickoff: 2026-09-15 13:00:00
  • 1X2 (model): Home 41.0% · Draw 29.4% · Away 29.6%
  • xG (showing): Etincelles 1.42 — Musanze 1.18 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
  • Model: 48.2% · Implied: 40.0% · Probability edge: +8.2 pts · Est. EV: +14.7%
  • BTTS (model): Yes 54.1% · No 45.9%
  • Correct score (top bin): 1-1 (12.4%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: Selective Lean - 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 29, 2026 (UTC)

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Back to Statistics
National Soccer League National Soccer League — Standings
# TEAM MP W D L PTS
1 Gicumbi 3 3 0 0 9
2 Etincelles 3 2 1 0 7
3 Amagaju 3 1 1 1 4
4 APR 1 1 0 0 3
5 Al Hilal Omdurman 1 1 0 0 3
6 Mukura 2 1 0 1 3
7 Marines 2 1 0 1 3
8 Police 2 1 0 1 3
9 Gorilla 2 1 0 1 3
10 Musanze 2 1 0 1 3
11 Kiyovu Sports 3 1 0 2 3
12 Sunrise 2 0 2 0 2
13 Rayon Sports 1 0 1 0 1
14 Al Merreikh 1 0 1 0 1
15 Etoile de l'Est 3 0 1 2 1
16 AS Kigali 3 0 1 2 1
17 Bugesera 1 0 0 1 0
18 Gasogi United 1 0 0 1 0
# TEAM MP GS GC +/- PTS
1 Gicumbi 3 5 2 +3 9
2 APR 1 4 2 +2 3
3 Marines 2 4 4 0 3
4 Etincelles 3 2 0 +2 7
5 Al Hilal Omdurman 1 2 0 +2 3
6 Amagaju 3 2 1 +1 4
7 Mukura 2 2 1 +1 3
8 Police 2 2 2 0 3
9 Gorilla 2 1 1 0 3
10 Musanze 2 1 1 0 3
11 Sunrise 2 1 1 0 2
12 Rayon Sports 1 1 1 0 1
13 Kiyovu Sports 3 1 2 -1 3
14 Etoile de l'Est 3 1 4 -3 1
15 Al Merreikh 1 0 0 0 1
16 Bugesera 1 0 1 -1 0
17 Gasogi United 1 0 2 -2 0
18 AS Kigali 3 0 4 -4 1