Jamshedpur vs Bengaluru: match statistics

I predict a Jamshedpur win (1). The hosts sit 2nd and record a 71% home win rate with 0% defeats at home; they concede only 0.43 goals per game and keep 57% clean sheets, indicating clear defensive stability. Bengaluru average 2.2 goals on the road with 5.2 shots on target and 59% possession, but have only 20% shutouts and concede 1.2 goals on average. Jamshedpur score 1.57 goals at home with an xG of 1.46 and have FTS 0%, while Bengaluru’s away xG is 1.73 translating to 2.2 goals, suggesting the visitors create more chances but the hosts defend more efficiently. Considering superior PPG in the last 5 matches (Jamshedpur 1.6 vs Bengaluru 1.2), league position (2 vs 7) and the hosts’ defensive edge, I give them a slight preference.

Season BTTS metrics are divergent: Jamshedpur has 33% of matches with both teams scoring, while Bengaluru has 80%, and in the last 5 meetings both teams recorded BTTS in 60% of games. Bengaluru averages 2.2 goals per game, has xG 1.73, 5.2 shots on target and a conversion rate of 14%, whereas Jamshedpur records 0.67 goals per game, xG 1.14, 2.5 shots on target and a 7% conversion rate. The home side concedes 0.83 goals on the season, but in the last 5 matches they conceded 1.0 goals on average with average xG against 1.25, while Bengaluru has xG against around 1.37 on the season and 1.5 in the last 5, indicating risk of conceding on both sides. Considering the clearly offensive profile of the away team (2.2 goals, xG 1.73, 5.2 shots on target) and the fact that BTTS occurred in 60% of their last 5 meetings, the signal for BTTS - Yes is stronger than the signal against. However, Jamshedpur keeping a clean sheet in 50% of home matches reduces certainty, so I would assess BTTS probability at 70% for 'Yes' and 30% for 'No'.

The forecast is based on xG and recent form: Bengaluru’s attacking xG is 1.73 versus 1.14 for Jamshedpur, and over the last 5 matches xG was 1.63 for Jamshedpur and 1.48 for Bengaluru; therefore I expect 1.41 goals for the home side and 1.46 for the visitors, totaling 2.87 goals. Over 1.5 is a strong signal — Jamshedpur had over 1.5 in 67% of matches this season, Bengaluru in 100%, and the league averages 2.45 goals per game; additionally Bengaluru averages 5.2 shots on target versus 2.5 for Jamshedpur and has a higher conversion rate of 14% vs 7%. Over 2.5 looks moderately likely: Bengaluru have 60% of matches over 2.5 versus 17% for Jamshedpur, and our expected 2.87 goals implies roughly a 62% probability for Over 2.5. Over 3.5 is less likely — seasonally Jamshedpur 0% Over 3.5, Bengaluru 40%, which with a total of 2.87 yields an estimated ~30% chance for Over 3.5. Therefore the best line to play is Over 1.5: it is the strongest statistical signal (67%/100% seasonally, expected 2.87 goals and a clear advantage in Bengaluru’s shots and conversion).

Bengaluru is clearly stronger offensively: average goals per match 2.2 versus 0.67 for Jamshedpur, xG 1.73 vs 1.14 and average shots on target 5.2 vs 2.5, indicating a greater number and quality of chances for the visitors. At Half-Time the visitors have the advantage — average goals at the break 1.8 for Bengaluru compared to 0.83 for Jamshedpur, and Bengaluru led at the break in 60% of matches, Jamshedpur in 50%. The difference persists in the second half: the visitors average 1.6 goals after the break versus 0.67 for the hosts and collect an average of 1.8 points in second halves versus 1.0 point for the home side, which increases the chance of maintaining a lead. Bengaluru win 60% of matches compared to just 17% wins for Jamshedpur, therefore in the HT/FT distribution I assign the highest probability to the 2/2 scenario (38%). Alternatively I estimate 15% for Half-Time draw and a visitor win (X/2) and only 7% for a turnaround by the hosts after leading at the break (1/2), hence the selection '2/2' as the main pick.