FKF Premier League
Match Analysis
Nairobi United
KCB
Nairobi United
W
D
D
L
W
W
KCB
W
W
L
D
L
D
What do these metrics mean?
- Strength
- Recent form points from the last several matches. Higher means a better recent run of results.
- Shot Conversion
- Goals scored divided by total shots taken (rolling window of past matches). Measures finishing efficiency — only available when historical shot data exists.
- Shots on Target
- Proportion of shots that were on target. Reflects shot accuracy and discipline — only available when historical shot data exists.
- Possession
- Average ball possession percentage over recent matches. Indicates territorial dominance — only available when historical stats exist.
- Save Rate
- Goalkeeper saves divided by shots faced. Higher means the keeper is denying more chances — only available when historical stats exist.
- Attacking Potential
- Composite index from goals, expected goals and shots (weighted). Only available when full shot stats are tracked for a team.
- Defensive Potential
- Composite index from goals conceded, saves and blocked shots (weighted). Only available when full shot stats are tracked.
- Expected Goals
- Poisson-estimated goals each team is likely to score, derived from season attack/defence averages and opponent strength.
- Head to Head
- Historical win share across all previous meetings between these two teams (home wins | draws | away wins).
- Wins the Game
- Machine learning win probability — the model's confidence that each team wins this match outright.
Why this prediction? AI insight
Nairobi United and KCB both have moderate recent form and are closely matched in overall quality, making this a fairly even contest. With limited head-to-head history and similar rest coming into the match, there aren't strong external factors clearly favoring either side. The model predicts a home win with a 46% probability, which reflects a slight edge for Nairobi United despite the closeness of the teams. The model also sees a moderate chance that neither side will score, and that the game will finish with fewer than two goals total.
Head to Head History
| Home Team | Away Team | Score | Date |
|---|---|---|---|
| Nairobi United | KCB | 1 - 1 | March 4, 2026 |
| KCB | Nairobi United | 0 - 2 | January 15, 2026 |
Nairobi United Form (Last 6 Matches)
| Date | Venue | Opponent | Score | Result |
|---|---|---|---|---|
| May 31, 26 | Away | GOR Mahia | 0 - 1 | Win |
| May 24, 26 | Home | Police | 0 - 0 | Draw |
| May 16, 26 | Home | Posta Rangers FC | 2 - 2 | Draw |
| May 10, 26 | Away | Kariobangi Sharks | 2 - 0 | Loss |
| May 6, 26 | Home | Tusker | 1 - 0 | Win |
| Apr 25, 26 | Away | Mathare United | 1 - 2 | Win |
KCB Form (Last 6 Matches)
| Date | Venue | Opponent | Score | Result |
|---|---|---|---|---|
| May 31, 26 | Away | Shabana | 1 - 2 | Win |
| May 27, 26 | Away | Sofapaka | 1 - 2 | Win |
| May 23, 26 | Home | Posta Rangers FC | 0 - 1 | Loss |
| May 10, 26 | Home | Bandari | 2 - 2 | Draw |
| May 6, 26 | Away | APS Bomet | 1 - 0 | Loss |
| Apr 26, 26 | Home | Homeboyz | 1 - 1 | Draw |
FKF Premier League Table
| Pos | Team | MP | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|---|
| None | KCB | None | None | None | None | None | None | None | None |
| None | Nairobi United | None | None | None | None | None | None | None | None |
Predictions
Both Teams To Score - No
This prediction suggests that there is a 54.88% likelihood that only one team is likely to score throughout the entire match.Nairobi United to win
This prediction indicates that Nairobi United has a 45.86% likelihood to win the match. The likelihood for the match to end as a draw is 31.29 %Under 1.5 goals
This prediction indicates that there is a 59.66% likelihood that by the end of the football match, there will be less than two goals scored.Under 2.5 goals
This prediction indicates that there is a 62.35% likelihood that by the end of the football match, there will be less than three goals scored.Most Likely Scorelines
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