Wil vs Neuchâtel Xamax: match statistics

The match looks balanced: both teams scored 11 goals in their last 5 matches and each won 3 of those 5 games, yielding an average of 1.8 points per game for both in that period. In the season Wil has 5 scored and 4 conceded, while Neuchâtel Xamax has 3 scored and 2 conceded; the visitors sit 3rd in the table versus the hosts in 4th, giving Xamax a marginal positional advantage. In the last 5 matches Wil conceded 10 goals and Xamax 9, so the visitors’ defense was slightly more compact in the short term (9 vs 10), although both sides played offensively (11 scored each). Forms ‘wlwlw’ (Wil) and ‘lwwlw’ (Xamax) show that the hosts regularly alternate results, while the visitors managed a run of two wins, which may give them a small psychological edge. Considering these figures, I project a draw as the most likely outcome and estimate probabilities: home 30%, draw 40%, away 30%.

I back BTTS - Yes, because in the last 5 matches Wil has BTTS 60% and Neuchâtel Xamax 80%, clearly indicating both teams regularly exchange goals in form. In those same five games both sides averaged 2.2 goals each (Wil 2.2, Xamax 2.2) and conceded on average 2.0 and 1.8 respectively, meaning matches routinely finished with goals at both ends. Supporting this are xG values: over the last 5 matches Wil’s xG is 1.84 versus 1.52 for the visitors, and xG against is 1.73 vs 1.64 — both sides create goal-scoring chances. Seasonal data is partially contradictory (seasonal BTTS: home 100% vs away 0%, with a seasonal goals average for the away team 0.0), so I place greater trust in the complete metrics from the last 5 fixtures and league trends (league BTTS 60% and 4.6 average goals per match). Overall, considering the 60% and 80% form figures, xG 1.84 vs 1.52 and the league’s 60% BTTS, I assess the probability of BTTS at about 75% for and 25% against.

Wil scores an average of 3.0 goals per home match and has xG 1.71 for the season and 1.84 in the last 5 matches (avg ≈1.78). Neuchâtel Xamax has xG ≈1.52 in the last 5 matches, and both teams scored 11 goals in their last five fixtures (avg 2.2 per match each), indicating an offensive profile. Total xG is about 3.30 (1.78+1.52). The league averages 4.6 goals per match with 80% of games over 2.5, and Wil at home has 100% of matches over 2.5 in seasonal data. A probabilistic model gives ~84% chance for Over 1.5, ~64% for Over 2.5 and ~42% for Over 3.5, so the strongest signal is Over 1.5. I recommend backing the over on the 1.5 line due to the high home goals average for the hosts (3.0), the combined xG of 3.30 and the league’s high share of matches over 2.5.

Statistics favor Wil: at home this season they average 3.0 goals per match, have a 100.0% win rate and in all recorded matches they led at the break (1 of 1, 100.0%). In the first half Wil scored an average of 3.0 and conceded 1.0 (scoredAVGHT_home 3.0 vs concededAVGHT_home 1.0), with a halftime goals total of 4.0 (GoalsHT_home 4.0), which supports the home side leading after 45 minutes. For the full match the home team’s offensive advantage is indicated by xG 1.71 versus 0.0 for the visitors (xg_for_avg_home 1.71 vs xg_for_avg_away 0.0) and an average of 16.0 shots and 5.0 on target (shotsAVG_home 16.0, shotsOnTargetAVG_home 5.0), while Xamax’s statistics are zero in several categories. However, the small sample size introduces some uncertainty — in the last 5 matches the hosts led at the break in only 20.0% of cases (last5_leadingAtHTPercentage_overall_home 20.0), so I assign a minor probability to draw or turnaround scenarios by the visitors. As a result the most likely HT/FT scenario is 1/1 (Wil leading at half-time and winning at full-time), and I assign the highest probability to that outcome.