Dijon vs Châteauroux: match statistics

I back Dijon to win. At home they average 2.0 goals scored and concede only 0.79, while Châteauroux average 1.07 scored and 1.29 conceded away. Dijon creates significantly more chances: on average 14 shots and 5 on target per home match with xG 1.65, versus 8.57 shots and 3.14 on target with xG 1.11 for the visitors. Form and defense favor the hosts — Dijon averages 2.0 points per game in the last 5 matches and conceded 4 goals in that period, whereas Châteauroux average 0.8 points and conceded 13 goals in their last five. Additionally, Dijon win 57% of home matches and keep 43% clean sheets, while the visitors win only 21% of away games and have 21% clean sheets, indicating greater home stability. Based on this, I assess the probabilities as 70% for a Dijon win, 20% for a draw and 10% for an away upset.

Both teams show signals favoring BTTS: Châteauroux has a seasonal BTTS of 57% and 60% in the last 5 matches, while Dijon has 47% seasonally and 40% in the last 5; the league records BTTS at 52%. In the last 5 fixtures Châteauroux conceded 13 goals (an average of 2.6 per match), and Dijon conceded 4 goals (0.8 per match), indicating Dijon has a realistic chance to score. Dijon generates higher xG (1.28 vs 1.11) and more shots per match (10.87 vs 8.57) with a similar number of shots on target (3.13 vs 3.14), which increases the probability of the hosts finding the net. Conversely, the visitors are more efficient with their shots (conversion 13% vs 9%) and participate in BTTS matches more often on a seasonal basis, so they also have the potential to score. Overall the stronger signal points to BTTS, hence a recommendation of 65% for YES and 35% for NO.

Expected goals from a simple model combining each team’s xG and opponent xG are 1.37 for Dijon (xG for 1.28 vs xG conceded by Châteauroux 1.45) and 1.22 for Châteauroux (xG for 1.11 vs xG conceded by Dijon 1.34), totaling 2.59. With an expected total of 2.59, probability calculations give P(0)≈0.075 and P(1)≈0.194, so the probability of Over 1.5 is about 73%, which aligns with season over 1.5 rates: 67% for Dijon and 79% for Châteauroux. The 2.5 line is essentially a coin flip — the model estimates roughly 48% for Over and 52% for Under, while season over 2.5 are 53% (Dijon) and 50% (Châteauroux), so there’s no clear edge. Additionally, both-teams-to-score percentages are 47% for Dijon and 57% for Châteauroux, and on-target shots 3.13 vs 3.14 indicate both sides create chances. Based on this, the best line to play appears to be Over 1.5 (side: over, line: 1.5) with an estimated probability of ~73% — a consequence of the projected 2.59 goals and corroborating seasonal trends.

Half-time stats show Dijon led in only 13% of matches, with a half-time draw for the home side in 53%, and Dijon trailing at the break in 33%; conversely, Châteauroux led at half-time in 29% of fixtures. Over the season Châteauroux averages 1.07 goals scored and concedes 1.29, earning 1.14 points per game with a 21% win rate, while Dijon averages 0.93 goals, concedes 1.73 and has 0.67 points per game with a 13% win rate, which supports the away side for the final result. Although xG is 1.28 for Dijon versus 1.11 for Châteauroux, the visitors have a higher shot conversion rate (13% vs 9%) and a similar number of shots on target (3.14 vs 3.13), suggesting better efficiency from Châteauroux. Considering the home side’s 53% rate of half-time draws and the 29–33% range of visitors leading at HT, I assign the highest probability to the 2/2 scenario (22%), with X/X at 21% and X/2 at 21% as the second and third strongest signals.