Navbahor vs Termez Surkhon: match statistics

Navbahor holds a clear advantage in chance creation — home xG 1.72 with 5 shots on target and 16.5 shots per game versus away xG 1.12, 2.67 shots on target and 10 shots for Termez Surkhon. The hosts also dominate possession (67% vs 51%) and show slightly better recent form over the last 5 matches: Navbahor 3 wins and 2 losses with 1.8 points per game, Termez Surkhon 2 wins, 2 draws and 1 loss with 1.6 pts/game. Defensively Navbahor are stronger at home — conceding 1.00 goals per game with an xG against of 0.68, while Termez Surkhon concede 1.33 on the road with xG against 1.40. Risks for the hosts include a high share of home matches without scoring (FTS 50%) and no clean sheets at home (CS 0%), whereas the visitors have never failed to score away (FTS 0%) and have 33% clean sheets on the road. Considering the superior xG 1.72 vs 1.12, the edge in shots on target 5 vs 2.67 and possession control 67% vs 51%, I expect a home win; probabilities estimated at 60% Navbahor, 25% draw and 15% Termez Surkhon.

The strongest signal comes from Termez: their seasonal BTTS rate as away team is 67%, while Navbahor at home is only 33%, and the league average BTTS is 46%. xG analysis shows Navbahor generates 1.36 xG per match, Termez 1.12 xG, while Navbahor concedes 1.59 xG and Termez 1.40 xG, indicating both teams create and allow significant scoring chances. In the last 5 matches both teams have BTTS at 40%, however Navbahor in that period scored 6 and conceded 4 (avg 1.2 and 0.8), and Termez scored 5 and conceded 5 (avg 1.0 and 1.0), which shows moderate attacking form for both sides. Additionally Termez averages 2.67 shots on target with a 10% conversion versus Navbahor 2.33 and 7%, increasing the likelihood of a goal from the visitors. Considering Termez's high away BTTS 67%, positive xG signals (1.36 and 1.12) and the visitors' better efficiency, I assign a 60% probability to BTTS - Yes and 40% to No.

Seasonal and recent xG figures indicate a moderate goal potential: the home side has a seasonal xG of 1.36 and a recent xG of 1.50, the visitors have a seasonal xG of 1.12 and a recent xG of 1.31. Averaging seasonal and five-match xG and accounting for xG conceded (away 1.40 and home 1.59) I calculated expected goals: home 1.45, away 1.21, total 2.66. With a mean of 2.66 the Poisson distribution yields estimated P(Over 1.5) ≈ 74%, P(Over 2.5) ≈ 50% and P(Over 3.5) ≈ 28%. This aligns with seasonal figures: the home team has 67% of matches with over 2.5 goals, the away team 33%, and the league average is 2.4 goals per match. Additionally, the home side averages 13.67 shots with 2.33 on target and a 7% conversion rate, while the visitors average 10 shots with 2.67 on target and a 10% conversion rate, so I recommend Over 1.5 as the strongest signal (Over 1.5 with an estimated probability of 74%).

Navbahor holds the advantage at Half-Time: they average 1.0 goals by the break versus 0.0 for Termez and have 5 goals scored before the break compared to 2 for the visitors, which strongly favors the home side leading at the break. The hosts earned 4 points by Half-Time versus 1 for the visitors and average 1.33 points per match before the break versus 0.33 for Termez, while the visitors were losing at the break in 67% of their matches, so a home lead at Half-Time is the dominant signal. Over the full match Navbahor also has higher xG (1.36 vs 1.12), more shots on average (13.67 versus 10.0) and better form in the last 5 fixtures (60% wins versus 40% for the visitors), which increases the likelihood they will maintain the lead and win the Full-Time result. A competitive factor is that Termez score more frequently after the break (on average 1.0 goal in the second half and in 100% of their matches at least one goal occurs after Half-Time), so scenarios with an equalizer or a turnaround after the break are possible and I therefore assigned them some probability. In summary, the most certain tip is 1/1 (home leading at Half-Time and winning Full-Time), so this scenario received the largest share in the distribution.