Reims vs Red Star: match statistics

Reims has the edge in the quality of chances at home — home xG 1.63 versus Red Star’s 1.18 away xG, with 4.57 shots on target per match for Reims compared to 3.79 for the visitors. Defensively the hosts are more robust: Reims concedes 0.71 goals per home match on average and records clean sheets in 64% of games, while Red Star concedes 0.79 away and has a 50% clean sheet rate. Red Star, however, is more efficient in front of goal — their conversion rate is 13% versus 10% for Reims — and show better recent form (3 wins in the last 5 and 2.0 points per match on average vs Reims’ 1 win and 1.2 points). Over the season Reims have also scored more goals (43 vs 36) and generate more shots (14.14 vs 10.21), giving them both a quantitative and qualitative advantage in chance creation. Considering the higher home xG (1.63 vs 1.18), superior defensive metrics (0.71 goals conceded and 64% clean sheets) and the advantage in shot volume, I back a Reims win; suggested probabilities are 55% home, 25% draw and 20% Red Star.

I lean towards BTTS - No, as Red Star has a seasonal BTTS rate of only 29% versus Reims' 53%. The visitors keep a clean sheet in 50% of matches and concede an average of 0.79 goals per game, while Reims has 40% clean sheets and concedes 1.27 on average — this favors a zero on one side. In the last 5 matches Red Star records BTTS at 20% vs Reims' 60%, and recent forms (Red Star: lwwdw, Reims: dlwdd) suggest better defensive stability for the visitors. Although Reims generate more xG (1.46 vs 1.18) and attempt more shots (13.67 vs 10.21), Red Star’s actual goals conceded (0.79) is lower than the xG against them (1.25), indicating they limit opponents’ finishing. Therefore I assess BTTS chances at 30% for Yes and 70% for No.

The xG-based model (Reims xG 1.46; Red Star xG 1.18; xG against: Red Star 1.25; Reims 1.10) yields expected goals of 1.36 for Reims and 1.14 for Red Star, totaling 2.50. The 2.50 total is close to the league average of 2.46 and, under a Poisson distribution, translates to roughly a 71% probability of at least 2 goals (Over 1.5), 46% for at least 3 goals (Over 2.5) and 24% for at least 4 goals (Over 3.5). Season-long indicators support a scoring tendency: Reims have 60% of home matches >1.5, Red Star 64% away, while Over 2.5 occurs in 53% of home games and 43% of away games, making the 2.5 line less decisive. Additionally, Reims average 13.67 shots (3.67 on target) versus Red Star 10.21 (3.79 on target), and the last 5 matches show higher xG (Reims 1.68, Red Star 1.43), which strengthens the probability of goals; therefore the strongest signal from the data is Over 1.5.

The most likely scenario is a Half-Time draw and an Away win (X/2). Reims were level at the break in 40% of matches, while Red Star were tied at half-time in 64%, so I place significant weight on a draw at the break (estimated probability ~50%). Red Star dominate after the break: they score on average 0.79 goals in second halves, average 1.79 points in second halves and win 50% of second halves, whereas Reims record 0.6 goals, 1.07 points and only 20% second-half wins, which increases the likelihood of a turnaround. Additionally, Red Star win 50% of their season’s matches versus Reims’ 40% and have a 60% win rate in their last 5 matches compared to Reims’ 20%; first-half goals are low (0.6 and 0.5), so I expect a draw at half-time and a decision in the second half in favor of the away team.