Wolverhampton Wanderers vs Fulham: match statistics

Fulham are the favorites: they sit 11th vs Wolverhampton in 20th and have 44 goals this season compared to the hosts' 25. In the last 5 matches both teams scored only 1 goal each, however Wolves conceded 12 goals in that period while Fulham conceded 6; points per game in the last 5 are 0.2 for the hosts vs 0.8 for the visitors. Chance creation is similar: average xG is 1.18 for Wolves at home and 1.24 for Fulham away, but the visitors attempt more shots (11.22 vs 10.11) and have higher possession (50% vs 44%). Wolves have slightly more shots on target (3.61 vs 3.28) and a higher conversion rate (10% vs 8%), yet the home defense is poor — on average 1.83 goals conceded at home, a goal difference of -15 and 61% home losses — which is decisive. Considering the league position advantage, the goal difference (44 vs 25) and Fulham’s superior form in points, I predict an away win.

Seasonal indicators show a moderate chance for BTTS: Wolverhampton has BTTS at 56%, Fulham 50%, and the league average is 55%, which initially supports both teams scoring. A strong counterargument is recent form over the last 5 matches: BTTS rate for the hosts has dropped to 20%, and for Fulham it is 0%, indicating a clear decline in mutual scoring. Additionally, Fulham failed to score in 44% of their matches this season, and in the last 5 they averaged 1.0 goals with xG 1.34, i.e. poor chance conversion. Wolverhampton score on average 1.56 goals this season (xG_for 1.51) but in the last 5 the hosts averaged 1.0 scored and conceded 12 goals (2.4 per match), producing mixed signals and increasing the probability of one-sided scorelines. Considering Fulham's 0% BTTS in the last 5, the visitors' 44% clean sheet expected rate, and poor conversion, I favor the “No” scenario (65%) over “Yes” (35%).

I project a total of approximately 2.77 goals: 1.52 for Wolverhampton and 1.25 for Fulham, calculated as the average of home attack xG (1.51) and away defense xG (1.53) and away attack xG (1.24) and home defense xG (1.25). That 2.77 total translates in a probabilistic model to an Over 1.5 probability of ~76% and Over 2.5 of ~52%, consistent with seasonal Over 1.5 rates: 61% for Wolves and 78% for Fulham. Additionally, Wolves average 13.78 shots and 3.89 on target per match versus Fulham’s 11.22 and 3.28, and the home side’s goal conversion rate is 11% versus 8% for the away team, which favors scoring from the hosts. Both teams score at least once in 56% of Wolves’ matches and 50% of Fulham’s, and in the last 5 matches Wolves have conceded 12 goals (2.4 per match), further increasing the chance of at least 2 goals in the game. On this basis the strongest signal in the data is playing Over 1.5 (probability ~76%), outperforming Over 2.5 (~52%) and Over 3.5 (~30%).

Wolverhampton lead at the break in 39% of their matches and score an average of 0.61 goals before halftime, whereas Fulham average only 0.28 goals away and concede 0.83 by the break. The home side have a 56% home-win rate versus Fulham’s 22% away-win rate; season goal averages are 1.56 for Wolves against 0.89 for Fulham, and xG of 1.51 vs 1.24 favors the hosts. Fulham have conceded 9 goals in minutes 31–45 and 9 in 76–90 on the road, while Wolves have scored 7 in 31–45 and 7 in 76–90 — this increases the probability of a home goal before halftime and the hosts maintaining a lead. Based on this, the most likely scenario is 1/1 (lead at the break and home win) with an estimated probability of 29%; the second option is X/1 (draw at halftime, home win) at ~22%; a draw/draw (X/X) is around 15% due to frequent halftime draws (50%). However, caution is warranted given Wolves’ poor form in their last five matches (0% wins and 80% losses), so the distribution also accounts for scenarios with a halftime draw.