Sporting CP vs Santa Clara: match statistics

Sporting CP is the clear favorite in this match — at home they score an average of 3.0 goals and concede only 0.33 goals per game, have an 83% win rate and 75% clean sheets in home matches. Their home xG averages 2.24 versus xG against 0.8, and the hosts average 19.83 shots per game (7.75 on target) with 60% possession, indicating a large advantage in chance quality. Santa Clara on the road scores 0.85 goals on average, concedes 1.31 goals and averages 12.77 shots (3.46 on target), with a conversion rate around 7% and 38% of away games without scoring. The difference in goal differential (Sporting +32 at home vs Santa Clara -6 away) and the superiority in xG (2.24 vs 1.3) and shots on target (7.75 vs 3.46) all point clearly to the hosts. Although both teams have won 3 of their last 5 matches overall, the gap in chance quality (xG 2.24 vs 1.3) and defensive stability (0.33 goals conceded per home game for the hosts versus 1.31 for the visitors) leads to backing a Sporting win.

I project a 60% probability for BTTS = No and 40% for BTTS - Yes. Sporting at home records a 43% clean sheet rate and a season average of goals conceded of 1.0 (1.2 in the last 5), indicating strong ability by the home side to limit opponents. Santa Clara scores only 0.85 goals per game this season and has a 15% clean sheet rate away, despite a season BTTS rate of 46%; this means they occasionally feature in matches with both teams scoring but their overall scoring output is low. Season BTTS rates are 36% for Sporting and 46% for Santa Clara versus a league level of 46%, and the last 5 matches average for both teams is 40% each, yielding a raw average of about 42% for Yes and 58% for No (I round to a 40/60 split for the recommendation). Additionally, xG shows similar attacking potential (xG_for 1.25 Sporting vs 1.30 Santa Clara) with shot conversion of 8% vs 7%, but Sporting’s higher clean sheet percentage and Santa Clara’s low goals average (0.85) tip the balance in favor of the No option (clean sheet expected/defensive struggle).

The xG-based model gives Sporting 1.23 goals (xG_for_home 1.25 vs xG_against_away 1.21) and Santa Clara 1.20 (xG_for_away 1.30 vs xG_against_home 1.09), totaling 2.43 expected goals. With λ=2.43 the Poisson distribution yields roughly a 70% chance of at least 2 goals in the match (Over 1.5) with P(0)+P(1)≈30%, while Over 2.5 is estimated at ~44%. Additionally, Sporting scored an average of 2.4 goals in the last 5 matches (12 goals) and Santa averaged 1.4 goals (7 goals), and the Over 2.5 rate in the last 5 is 80% for the home side vs 20% for the away side, which strengthens the signal for more than 1.5 goals. Seasonal data, however, show moderate caution for over 2.5 (36% Sporting, 31% Santa), so I recommend Over 1.5 as the strongest play.

I select the 1/1 scenario (Sporting leading at Half-Time and winning Full-Time) because in 3 of the last 5 matches Sporting led at the break (60%) and in the last 5 fixtures they averaged 0.8 goals by Half-Time versus 0.6 for Santa Clara. Despite similar xG (Sporting 1.25 vs Santa Clara 1.30), Sporting converts chances better (conversion rate 8% vs 7%) and has a higher proportion of clean sheets at home (43% vs Santa Clara’s 15% away), and keeps a clean sheet at Half-Time in 64% of cases. Additionally Sporting scored 5 goals in minutes 0–15 and conceded only 1, while Santa Clara conceded 4 goals in those minutes, which increases the probability of the home side scoring before the break. For these reasons the 1/1 bet is the strongest signal; alternatively X/1 or X/X are possible but less likely given the above figures.