Nairobi United vs Shabana: match statistics

Nairobi United has clear momentum in the last 5 matches: they scored 13 goals (2.6 per match) and conceded only 2 (0.4 per match), averaging 2 points per match in that period. Shabana in their last 5 matches scored 9 goals (1.8 per match) and conceded 6 (1.2 per match), indicating a less effective defense than the hosts in the short term. Over the season the hosts create more chances at home (avg. 10.73 shots and 4 on target, xG 1.55) versus the visitors on the road (9.38 shots, 3.46 on target, xG 1.33), which favors Nairobi in terms of chance quality. However, Shabana have strong away credentials: 46% away wins and 46% clean sheets away compared to only 25% wins and 8% clean sheets for the hosts, and a higher shot conversion rate (15% vs 13%). Considering the hosts’ potent attack in form and xG advantage, but also Shabana’s solidity on the road, I tip a Nairobi victory by a moderate margin.

I project BTTS - No as more likely. Nairobi posts a seasonal BTTS rate of 38% and just 20% in the last 5 matches, while Shabana shows 54% for the season and 60% in the last 5 — mixed signals but with a defensive edge for the home side. Key factor is Nairobi’s defense: they conceded only 2 goals in the last 5 (0.4 per match) and have a seasonal clean sheet rate of 54%, so there is a significant chance the opponent won’t score. Shabana rarely fails to score (only 8% of matches without a goal this season) and average 1.8 goals in the last 5, but their recent attacking xG is 0.68 versus xG against 0.78, indicating limited quality chances. Additionally Nairobi’s last 5 xG is 0.87 and they’ve scored 13 goals (2.6 per match), yet the home side’s seasonal shot conversion is only 9% versus Shabana’s 15%, so the numerical balance combined with the high clean sheet rate for the hosts leans toward the No scenario (60% vs 40%).

I estimated expected goals as the average of the team's attacking xG and the opponent's defensive xG: Nairobi comes to 1.43 (attacking xG 1.47 vs xG conceded to Shabana 1.38), Shabana 1.40 (attacking xG 1.33 vs xG conceded to Nairobi 1.47), totaling 2.83 goals. The last 5 matches confirm an offensive trend — Nairobi scored 13 goals in 5 matches (avg 2.6) and conceded 2 (0.4), Shabana scored 9 goals (1.8) and conceded 6 (1.2), and both teams had 60% of matches over 2.5 in the last five. Seasonally both clubs have 38% of matches over 2.5, but Shabana’s high conversion rate of 15% with 3.46 shots per game and Nairobi’s large volume of shots (11.83, with 3.58 on target) suggest greater scoring potential than the league average of 2.03. With expected 2.83 goals the Poisson model gives roughly a 77% probability for Over 1.5 and about 54% for Over 2.5, while Over 3.5 is much less likely (~32%). Therefore the strongest signal from the data is an Over on the 1.5 line — expected 2.83 goals and form (home team 13 goals in 5 and 60% Over2.5 in last 5) provide a clear edge for this option.

Nairobi averages 0.71 goals by half-time compared to Shabana’s 0.60 and has scored 4 goals in the 0–15 minute window versus only 1 for the opponents, which increases the likelihood of the home side taking a lead at the break early on. Additionally, Nairobi posts a higher xG (1.47 vs 1.33) and more shots per match (11.83 vs 9.38), and in the last 5 matches the hosts average 2.6 goals scored and 0.4 conceded, while Shabana records 1.8 scored and 1.2 conceded, supporting Nairobi’s overall match advantage. Half-time statistics show Nairobi led at the break 3 times out of 7 (43%) and were level at half-time 3 times (43%), whereas Shabana were level at half-time in 3 of 5 cases (60%) and, according to the data, were never behind at the break. Despite similar season win rates (46% vs 46%) and Shabana’s higher conversion rate (15% vs 9%), the aggregate signals (early goals for the home side, xG advantage and form 'wwwld') point to an HT/FT scenario of Nairobi leading at half-time and the hosts winning after full-time.