Statistics / Football / Kenya. FKF Premier League / Posta Rangers FC vs Sofapaka

Posta Rangers FC vs Sofapaka Statistics & Analysis

May 11, 2026 - 12:00
3 1.45
0 1.25
xG Accuracy: 46%
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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 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Posta Rangers FC Posta Rangers FC ✔ Correct
  • Correct Score Insights 1-0 3-0 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: FKF Premier League
  • Fixture: Posta Rangers FC vs Sofapaka
  • Kickoff: 2026-05-11 12:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Posta Rangers FC 1.45 — Sofapaka 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 69.0% · Over 2.5 31.0%); BTTS No (Yes 18.4% · No 81.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 18.4% · No 81.6%
  • Correct score (top bin): 1-0 (14.9%)

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.

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

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.

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.

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.

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.

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