Yeovil Town vs Solihull Moors: match statistics

On paper the favorite is Yeovil at home: they average 1.18 goals per home match with 3.32 shots on target and a 13% conversion rate, while Solihull average 1.05 goals away with 3.86 shots on target and a 10% conversion. xG, however, indicates the visitors create more high-quality chances (xG 1.40 vs 1.19 for the hosts), and average xG against is 1.65 for Solihull and 1.54 for Yeovil, suggesting an open game with opportunities at both ends. Form is similar: Yeovil have 0.8 points per match in their last five (L, W, L, D, L) scoring 3 and conceding 7 in that period; Solihull have 1.0 point per match (L, W, D, D, L) with a 4–5 goals for/against record. Home stats favor Yeovil — they win 41% of home games, while Solihull win only 23% of away matches and record 45% draws on the road, increasing the probability of a draw or a narrow home win. Considering Yeovil’s superior efficiency in converting chances (13% conversion and 32% of matches without scoring vs 10% conversion and 36% scoreless matches for the visitors) and their stronger home performance, I forecast a home win; estimated probabilities are 48% Yeovil, 29% draw and 23% Solihull.

Both teams have season BTTS rates of 52% (Yeovil at home) and 50% (Solihull away), while league-wide BTTS occurs in 56% of matches, giving an initial signal for BTTS - Yes. Clean sheet analysis shows Yeovil have 22% of home matches without conceding and Solihull 32% of away matches; a simple calculation (1-0.22)*(1-0.32)=53% yields a baseline BTTS estimate. Support for Yes comes from Yeovil’s offense — 1.91 goals at home, xG 1.58, 5.22 shots on target and 16% conversion — versus Solihull’s 1.05 goals, xG 1.4, 3.86 shots on target and 10% conversion, which increases the hosts’ chance to score (+3 pts). However the last 5 games weaken the outlook: BTTS in the last 5 is 40% for Yeovil and 20% for Solihull with goal averages 0.6 and 0.8, so I discount that effect (-3 pts). After weighting the baseline 53%, adding Yeovil’s offensive home edge (+3) and the league context (+2), and applying the form correction (-3), I assess BTTS at 55% for 'yes' and 45% for 'no' — I choose 'yes'.

An xG-based model forecasts 1.62 goals for Yeovil and 1.57 for Solihull, totaling 3.19 goals, which is above the league average of 2.92. Historically Yeovil exceed 1.5 goals in 83% of matches, and Solihull in 73%; a Poisson distribution with total lambda=3.19 yields roughly an 83% probability of Over 1.5. Over 2.5 sits at about 62% (Yeovil 70% this season vs Solihull 32%), so it is a viable option but weaker than Over 1.5. Offensive metrics support this: Yeovil average 11.96 shots with 5.22 on target and a 16% conversion rate, Solihull 10.73 shots with 3.86 on target and a 10% conversion; BTTS is 52% for the home side and 50% for the away. Based on this, I recommend Over 1.5 as the strongest signal (Over 1.5 ≈83%), with Over 2.5 (≈62%) as a secondary option and Over 3.5 less likely (~39%).

I expect Yeovil to be leading at half-time because the home side have led at the break in 43% of matches and average 1.00 goal by 45 minutes, whereas Solihull average 0.45 goals by half-time. Additionally, Yeovil have a higher seasonal xG (1.58 vs 1.40 for the visitors), more shots on target (5.22 vs 3.86) and a better conversion rate (16% vs 10%), which increases the likelihood of converting a lead in the first half. Conversely, Solihull draw 45% of matches and are level at the break in 55% of games, and the second half frequently produces goals (over 0.5 in the 2nd half in 87% of Yeovil’s matches and 77% of Solihull’s), so there is a real risk of an equaliser after the interval. Taking this into account I assign the highest probability to the 1/1 scenario (24%); X/X (19%) and 1/X (14%) also have strong support, therefore I select 1/1 as the main pick — Yeovil’s 43% rate of leads at the break combined with the home side’s seasonal goals average of 1.91 and the xG advantage provides the strongest signal for converting a half-time lead into a full-time victory.