Sholing vs Farnham Town: match statistics

Farnham Town has the superior overall season record (22 wins and 83 goals) compared to Sholing (17 wins and 67 goals), but home metrics favor the hosts. Sholing at home average 2.42 goals scored with 6.33 shots on target and xG 1.51, while Farnham away record 2.24 goals, 5.17 shots on target and xG 1.48. Defensively Sholing concedes only 0.79 xG at home with an average of 1.47 goals allowed, whereas Farnham have a higher away xG against (1.37) despite the same goals-against average of 1.47. In the last 5 matches the visitors show slightly better form (1.8 points per game and 3 wins) than the hosts (1.4 points and 2 wins), but Sholing are less likely to be kept scoreless at home (5% of matches vs 12% for Farnham away). Considering Sholing’s positive xG difference (+0.72 vs +0.11 for Farnham), the advantage in shots on target (6.33 vs 5.17) and the lower share of goalless games, I predict a home win.

Seasonal indicators strongly favor BTTS: Sholing have 70% of matches with both teams scoring, Farnham 71%, versus a league level of 60%. Both teams score frequently over the season — goals per game averages are 2.25 for Sholing and 2.24 for Farnham, while they concede 1.10 and 1.47 on average, indicating regular goals conceded on both sides. Additionally 70%/71% of their matches finish over 2.5 goals, and the over 2.5 + BTTS combo occurs in 55% of Sholing games and 71% of Farnham games, which increases the probability of both teams scoring. The counterargument is recent form over the last 5 matches: only 40% BTTS for both teams and low recent xG: 0.57 (Sholing) and 0.00 (Farnham), which reduces short-term confidence. Considering strong seasonal signals (roughly ~70% BTTS) alongside low clean sheet rates of 30% and 18%, I assign 75% to 'yes' and 25% to 'no' and recommend a bet: BTTS - Yes.

The xG-and-opponent-defense model yields expected goals of 1.91 for Sholing (xG 2.45 versus Farnham’s average concessions 1.37) and 1.27 for Farnham Town (xG 1.48 versus Sholing’s average concessions 1.06), totaling 3.18 goals. A Poisson model with lambda = 3.18 translates to roughly an 83% probability of Over 1.5, 62% for Over 2.5 and 39% for Over 3.5. Seasonal indicators corroborate this view: Sholing record Over 1.5 in 90% of matches and Over 2.5 in 70%, Farnham 76% and 71% respectively, and both teams score in 70–71% of games. Although Sholing have averaged only 0.8 goals and Farnham 1.0 over the last 5 matches (reducing short-term form), Sholing’s higher xG (2.45), greater shots on target 7.33 vs 5.17 and season-long goal frequency argue for a higher total. The strongest and most reliable signal from the data is backing Over 1.5 (pick: over, line 1.5), since both the model (~83%) and seasonal profiles (90%/76%) clearly indicate at least two goals.

Half-Time statistics strongly indicate a draw: in the last 5 matches Sholing were level at the break in 4 of 5 (80%), and Farnham in 5 of 5 (100%), with average first-half goals of 1.4 for Sholing and 1.76 for Farnham. After the break the home side holds the advantage — Sholing wins the second half in 75% of cases and scores an average of 1.95 goals in the second half, while Farnham wins second halves in 59% of matches, suggesting the hosts are more likely to break the draw after the interval. Sholing generates 2.45 xG versus 1.48 for Farnham and averages 19 shots per match compared to 11.33, with 7.33 shots on target versus 5.17, which increases the hosts' chances of scoring the decisive goal. Additionally, both teams frequently score at least once (70% and 71%), and second halves are rarely goalless (95% and 94%), therefore the most likely scenario is a draw at half-time and a home victory after full-time (X/1).