Musanze vs Gasogi United Statistics & Analysis

May 17, 2026 - 13:00
3 1.45
2 1.25
xG Accuracy: 53%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (0 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Musanze Draw ✖ Incorrect
  • Correct Score Insights 1-0 0-0 ✖ Incorrect

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: Musanze vs Gasogi United
  • Kickoff: 2026-05-17 13:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Musanze 1.45 — Gasogi United 1.25 (total xG ≈ 2.7)
  • 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 66.3% · Over 2.5 33.7%); BTTS No (Yes 29.0% · No 71.0%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 29.0% · No 71.0%
  • Correct score (top bin): 1-0 (14.8%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

Best Bet + Reason

No clear +EV headline on this snapshot.

When 1X2 is tight, prices often already embed the uncertainty — all three legs can be −EV, or show only small +EV that still fails the headline threshold — respect that when sizing.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

Is the most likely correct score still relevant?

As context only: it is still a low absolute probability tail outcome (often in the single digits, sometimes low teens). It does not override the “no headline +EV” stance — treat score bets as fun-sized if you play them at all.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

Risk Factors

  • 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%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 19, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
National Soccer League National Soccer LeagueStandings
# TEAM MP W D L PTS
1 Al Hilal Omdurman 32 23 5 4 74
2 APR 31 16 11 4 59
3 Al Merreikh 30 16 10 4 58
4 Rayon Sports 32 13 13 6 52
5 Kiyovu Sports 32 13 12 7 51
6 Police 32 11 15 6 48
7 Mukura 32 12 10 10 46
8 Marines 32 11 8 13 41
9 Bugesera 32 11 8 13 41
10 Musanze 31 10 9 12 39
11 Gorilla 32 9 10 13 37
12 Gasogi United 32 8 11 13 35
13 Gicumbi 32 9 8 15 35
14 AS Kigali 32 7 11 14 32
15 Etincelles 32 5 16 11 31
16 Amagaju 31 8 7 16 31
17 Muhanga 32 7 7 18 28
18 Rutsiro 31 5 11 15 26
# TEAM MP GS GC +/- PTS
1 Al Hilal Omdurman 32 72 22 +50 74
2 APR 31 43 27 +16 59
3 Marines 32 43 40 +3 41
4 Al Merreikh 30 38 17 +21 58
5 Rayon Sports 32 37 29 +8 52
6 Gicumbi 32 35 50 -15 35
7 Mukura 32 34 35 -1 46
8 Kiyovu Sports 32 33 20 +13 51
9 Musanze 31 33 32 +1 39
10 Bugesera 32 32 37 -5 41
11 Police 32 28 19 +9 48
12 Gorilla 32 28 37 -9 37
13 Rutsiro 31 28 41 -13 26
14 Gasogi United 32 27 40 -13 35
15 Etincelles 32 26 39 -13 31
16 AS Kigali 32 24 36 -12 32
17 Muhanga 32 21 43 -22 28
18 Amagaju 31 18 36 -18 31