Police vs Homeboyz Statistics & Analysis

May 31, 2026 - 12:00
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 Police Draw ✖ Incorrect
  • Correct Score Insights 0-0, 0-1, 1-0, 1-1, 0-2 1-1 ✔ Correct

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: FKF Premier League
  • Fixture: Police vs Homeboyz
  • Kickoff: 2026-05-30 12:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Police 1.45 — Homeboyz 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 67.7% · Over 2.5 32.3%); BTTS No (Yes 45.9% · No 54.1%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 45.9% · No 54.1%
  • Correct score (top bin): 0-0 (13.5%)

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

Skip unless odds move — the engine sees no line clearing the +EV gate.

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.

Re-check after material price moves; edges appear and disappear with liquidity.

FAQ

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.

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.

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

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
FKF Premier League FKF Premier LeagueStandings
# TEAM MP W D L PTS
1 GOR Mahia 34 20 9 5 69
2 AFC Leopards 34 19 7 8 64
3 Police 34 13 16 5 55
4 Nairobi United 34 14 11 9 53
5 Shabana 34 14 10 10 52
6 Homeboyz 34 12 13 9 49
7 KCB 34 13 9 12 48
8 Murang'a SEAL 34 13 8 13 47
9 Tusker 34 13 6 15 45
10 APS Bomet 34 11 11 12 44
11 Mara Sugar 34 10 14 10 44
12 Bandari 34 9 17 8 44
13 Ulinzi Stars 34 11 8 15 41
14 Mathare United 34 11 8 15 41
15 Posta Rangers FC 34 9 13 12 40
16 Kariobangi Sharks 34 8 14 12 38
17 Bidco United 34 5 12 17 27
18 Sofapaka 34 3 10 21 19
# TEAM MP GS GC +/- PTS
1 GOR Mahia 34 50 22 +28 69
2 Homeboyz 34 47 37 +10 49
3 AFC Leopards 34 44 28 +16 64
4 Nairobi United 34 44 34 +10 53
5 Murang'a SEAL 34 42 41 +1 47
6 APS Bomet 34 37 35 +2 44
7 KCB 34 36 37 -1 48
8 Shabana 34 35 34 +1 52
9 Ulinzi Stars 34 34 37 -3 41
10 Police 34 31 21 +10 55
11 Mathare United 34 31 35 -4 41
12 Posta Rangers FC 34 31 40 -9 40
13 Mara Sugar 34 30 30 0 44
14 Kariobangi Sharks 34 30 33 -3 38
15 Tusker 34 27 32 -5 45
16 Bandari 34 26 26 0 44
17 Bidco United 34 19 40 -21 27
18 Sofapaka 34 19 51 -32 19