AS Kigali vs Gicumbi Prediction, Odds & AI Betting Tips

AS Kigali

May 15, 2026 - 13:00

2 1.45

1 1.25

xG Accuracy: 80%

Gicumbi

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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 AS Kigali Draw ✖ Incorrect
Correct Score Insights 1-1, 0-1, 1-0, 0-0, 1-2 0-0 ✔ Correct

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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: AS Kigali vs Gicumbi
Kickoff: 2026-05-15 13:00:00
1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
xG (showing): AS Kigali 1.45 — Gicumbi 1.25 (total xG ≈ 2.7)
Best +EV line (same label as hero card when Primary thresholds are not met): BTTS No
Model: 58.8% · Implied: 52.2% · Probability edge: +6.6 pts · Est. EV: +2.9%
BTTS (model): Yes 41.2% · No 58.8%
Correct score (top bin): 1-1 (13.4%)

Totals and BTTS are evaluated against current market prices where available.

Early match state can move realised goals away from pre-kick projections.

Best Bet + Reason

Best current value angle on the board — same leg as the “Best +EV” hero when Primary rules are not met: BTTS No.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

Only one modest +EV edge is highlighted here; size cautiously and re-check if odds move.

FAQ

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

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 23, 2026 (UTC)

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National Soccer League — Standings

#	TEAM	MP	W	D	L	PTS
1	Al Hilal Omdurman	33	23	6	4	75
2	APR	32	17	11	4	62
3	Al Merreikh	32	16	11	5	59
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	Musanze	32	11	9	12	42
9	Marines	32	11	8	13	41
10	Bugesera	32	11	8	13	41
11	Gorilla	32	9	10	13	37
12	Gasogi United	33	8	11	14	35
13	Gicumbi	32	9	8	15	35
14	Amagaju	33	9	7	17	34
15	AS Kigali	33	7	11	15	32
16	Etincelles	32	5	16	11	31
17	Muhanga	33	8	7	18	31
18	Rutsiro	33	6	11	16	29

#	TEAM	MP	GS	GC	+/-	PTS
1	Al Hilal Omdurman	33	73	23	+50	75
2	APR	32	46	27	+19	62
3	Marines	32	43	40	+3	41
4	Al Merreikh	32	39	19	+20	59
5	Rayon Sports	32	37	29	+8	52
6	Musanze	32	36	34	+2	42
7	Gicumbi	32	35	50	-15	35
8	Mukura	32	34	35	-1	46
9	Kiyovu Sports	32	33	20	+13	51
10	Bugesera	32	32	37	-5	41
11	Rutsiro	33	30	45	-15	29
12	Gasogi United	33	29	43	-14	35
13	Police	32	28	19	+9	48
14	Gorilla	32	28	37	-9	37
15	Etincelles	32	26	39	-13	31
16	AS Kigali	33	25	38	-13	32
17	Muhanga	33	23	43	-20	31
18	Amagaju	33	19	38	-19	34