Gasogi United vs Police Statistics & Analysis

May 28, 2026 - 13:00
0 1.45
1 1.25
xG Accuracy: 63%
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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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Gasogi United Police ✖ Incorrect
  • Correct Score Insights 0-1, 0-0, 1-1, 1-0, 0-2 0-1 ✔ Correct

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: National Soccer League
  • Fixture: Gasogi United vs Police
  • Kickoff: 2026-05-31 13:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Gasogi United 1.45 — Police 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 73.1% · Over 2.5 26.9%); BTTS No (Yes 33.1% · No 66.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 33.1% · No 66.9%
  • Correct score (top bin): 0-1 (17.4%)

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.

Best Bet + Reason

No clear +EV headline on this snapshot.

The cards may still show value leans (e.g. a preferred Under or a BTTS side) where prices are inefficient or incomplete — that is not the same as a positive-EV ticket at the configured threshold.

Stake sizing should default to zero when no headline +EV exists — experimentation belongs in the discretionary bucket only.

FAQ

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.

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.

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

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.

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

June 08, 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 34 23 6 5 75
2 APR 34 19 11 4 68
3 Al Merreikh 34 16 11 7 59
4 Rayon Sports 34 14 14 6 56
5 Kiyovu Sports 34 13 14 7 53
6 Police 34 12 16 6 52
7 Mukura 34 12 11 11 47
8 Marines 34 12 9 13 45
9 Bugesera 34 12 8 14 44
10 Musanze 34 11 10 13 43
11 Gorilla 34 10 10 14 40
12 Gicumbi 34 10 8 16 38
13 Etincelles 34 7 16 11 37
14 AS Kigali 34 8 11 15 35
15 Gasogi United 34 8 11 15 35
16 Amagaju 34 9 8 17 35
17 Muhanga 34 8 7 19 31
18 Rutsiro 34 6 11 17 29
# TEAM MP GS GC +/- PTS
1 Al Hilal Omdurman 34 74 25 +49 75
2 APR 34 50 28 +22 68
3 Marines 34 47 43 +4 45
4 Al Merreikh 34 41 24 +17 59
5 Rayon Sports 34 40 30 +10 56
6 Musanze 34 38 37 +1 43
7 Gicumbi 34 38 54 -16 38
8 Mukura 34 36 38 -2 47
9 Kiyovu Sports 34 34 21 +13 53
10 Bugesera 34 34 39 -5 44
11 Etincelles 34 32 40 -8 37
12 Gorilla 34 31 42 -11 40
13 Rutsiro 34 30 47 -17 29
14 Police 34 29 19 +10 52
15 Gasogi United 34 29 44 -15 35
16 AS Kigali 34 27 39 -12 35
17 Muhanga 34 25 46 -21 31
18 Amagaju 34 19 38 -19 35