Diamond Harbour vs Rajasthan United: match statistics

Diamond Harbour is the favorite in this match: they sit 1st with 8 wins this season versus Rajasthan United's 5 wins, and a goals tally of 25 scored against 14. In the last 5 matches the hosts have scored 16 goals and average 2.4 points per game (form last 5: WWWWL), while Rajasthan have 5 goals and 1.2 points per game (last 5: WLWLL). In attack Diamond dominate on home data: on average 12.4 shots per match and 4.6 on target with 18% conversion and xG 1.62, while the visitors away record shows 8.25 shots, 2.25 on target, 15% conversion and xG 1.07, which translates to 2.2 vs 1.25 goals per match. Defense is a weakness for both sides — hosts concede 1.4 goals at home on average, Rajasthan 1.75 away, and the average total goals in the hosts' matches is 3.6, indicating an open game. Hosts have 20% of home matches without scoring, whereas Rajasthan have 0% of away matches without a goal, so the visitors can attack and prevent a clean sheet. Considering the advantage in xG, shots and current form, I predict a Diamond Harbour win.

I predict BTTS - Yes, because several robust indicators point to a scoring game: Rajasthan United has a seasonal BTTS of 100% (both teams scored in all their matches), while Diamond Harbour, despite a seasonal BTTS of 43%, has BTTS of 80% in their last 5 matches. The hosts create significantly more chances: home xG averages 1.81 vs away 1.07, and Diamond Harbour averages 15.57 shots (5.0 on target) vs Rajasthan's 8.25 (2.25 on target), increasing the likelihood that the hosts will score. The visitors have a seasonal average of 1.75 goals conceded and score 1.25 goals per match with a shooting accuracy of 15% (vs 8% for the hosts), and their seasonal clean sheet percentage is 0%, meaning they regularly concede. In the last 5 fixtures Diamond Harbour averaged 3.2 goals scored and 1.8 conceded, while Rajasthan averaged 1.0 scored and 1.2 conceded, so both sides show tendencies to both create and concede goals. Considering the visitors' seasonal BTTS 100%, the league BTTS rate of 62% and the above figures (xG 1.81 vs 1.07 and Rajasthan conceding 1.75), I assign approximately an 80% probability to BTTS (Yes) vs 20% (No).

xG and defensive data project 1.56 goals for Diamond Harbour (attacking xG 1.81 vs xG conceded to Rajasthan 1.31) and 1.13 goals for Rajasthan United (attacking xG 1.07 vs xG conceded to Diamond 1.20), total = 2.69. With this mean, a Poisson distribution yields roughly a 75% probability of at least 2 goals (Over 1.5), ~50% for at least 3 goals (Over 2.5) and ~28% for 4+ goals (Over 3.5). Match data reinforce the over signal: Rajasthan has a season rate of matches over 1.5 goals at 100% and over 2.5 at 75%, while Diamond Harbour scored 16 goals in their last 5 matches (3.2 per game) and recorded 80% Over 2.5 in that run. Additionally, the hosts average 15.57 shots with 5.0 on target versus Rajasthan’s 8.25 and 2.25, increasing the likelihood of chances and finishes; therefore the strongest and most consistent data signal is a bet on Over 1.5.

First-half statistics show Diamond Harbour are level at the break in 71% of matches and lead only in 29% (drawingAtHTPercentage_home=71, leadingAtHTPercentage_home=29), while Rajasthan never lead at half-time and are trailing at the break in 75% of matches (leadingAtHTPercentage_away=0, trailingAtHTPercentage_away=75). Despite the half-time draws, the home side generates materially more offensive quality: Diamond Harbour’s xG is 1.81 versus 1.07 for the visitors, shots on target 5.0 vs 2.25, and in the last five matches the hosts have won 4 of 5 (80% vs 40% for Rajasthan). Additionally, Rajasthan concede an average of 1.75 goals per match and have no clean sheets this season (seasonConcededAVG_away=1.75, seasonCSPercentage_away=0), while Diamond Harbour have scored five goals in the 46–60 minute window, suggesting the hosts frequently break deadlocks after the break. On this basis the strongest signal is Half-Time/Full-Time draw at half-time and home win after 90 minutes (X/1) — I attribute approximately a 42% probability to it; I assign 20% to 1/1, 18% to X/X, 11% to X/2, and consider remaining outcomes unlikely.