GOR Mahia vs Police Statistics & Analysis

May 10, 2026 - 13:00
1 1.45
1 1.25
xG Accuracy: 82%
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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 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 GOR Mahia Draw ✖ Incorrect
  • Correct Score Insights 1-0 1-1 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: FKF Premier League
  • Fixture: GOR Mahia vs Police
  • Kickoff: 2026-05-10 13:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): GOR Mahia 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 46.9% · No 53.1%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 46.9% · No 53.1%
  • Correct score (top bin): 1-0 (17.4%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Best Bet + Reason

No bankroll-sized bet is implied here.

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

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.

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.

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 17, 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
FKF Premier League FKF Premier LeagueStandings
# TEAM MP W D L PTS
1 GOR Mahia 31 19 8 4 65
2 AFC Leopards 32 19 7 6 64
3 Police 31 13 13 5 52
4 Nairobi United 32 13 10 9 49
5 Shabana 31 13 9 9 48
6 Homeboyz 32 12 11 9 47
7 Tusker 31 13 5 13 44
8 Mara Sugar 32 10 13 9 43
9 KCB 31 11 9 11 42
10 Bandari 31 8 17 6 41
11 Murang'a SEAL 31 11 8 12 41
12 Mathare United 32 10 8 14 38
13 APS Bomet 31 9 10 12 37
14 Posta Rangers FC 32 8 13 11 37
15 Kariobangi Sharks 31 7 12 12 33
16 Ulinzi Stars 31 8 8 15 32
17 Bidco United 31 4 12 15 24
18 Sofapaka 31 3 9 19 18
# TEAM MP GS GC +/- PTS
1 GOR Mahia 31 47 20 +27 65
2 Homeboyz 32 44 34 +10 47
3 Nairobi United 32 43 34 +9 49
4 AFC Leopards 32 42 24 +18 64
5 Murang'a SEAL 31 37 37 0 41
6 Shabana 31 32 31 +1 48
7 APS Bomet 31 32 33 -1 37
8 KCB 31 32 34 -2 42
9 Posta Rangers FC 32 30 39 -9 37
10 Police 31 29 19 +10 52
11 Mara Sugar 32 29 28 +1 43
12 Mathare United 32 29 33 -4 38
13 Ulinzi Stars 31 29 36 -7 32
14 Tusker 31 26 28 -2 44
15 Bandari 31 25 23 +2 41
16 Kariobangi Sharks 31 21 30 -9 33
17 Bidco United 31 17 36 -19 24
18 Sofapaka 31 17 42 -25 18