NorthEast United vs ATK Mohun Bagan: match statistics

I back an ATK Mohun Bagan win; the visitors have scored 18 goals this season versus NorthEast United’s 7 and concede only 0.5 goals on average away compared to the hosts’ 2.67 goals conceded at home. In the last 5 matches ATK have scored 9 goals and average 1.6 points per game, while NorthEast have 5 goals and average 1.0 point per game, indicating superior points efficiency for the visitors. Quality-of-chances metrics confirm the away side’s advantage: ATK’s away xG is 1.8 versus the home xG of 1.49, and xG conceded is 1.23 vs 1.37, so the visitors create more valuable opportunities and allow fewer dangerous chances. Although NorthEast averages 11.67 shots at home with 4.33 on target and show a higher conversion rate of 9% versus ATK’s 3% on the road, their defense is deteriorating — NorthEast have conceded 15 goals this season (10 in the last 5), while ATK have conceded 6 this season (5 in the last 5). Additionally NorthEast have a 67% loss rate in home matches and 0% clean sheets, whereas ATK have 0% losses away and 50% clean sheets, therefore I give the visitors the greater probability.

NorthEast United has a season xG of 2.55 and averages 2.83 goals scored per match with 7.67 shots on target and a 14% conversion rate, strongly indicating a high probability for the home side to score. ATK Mohun Bagan has xG 1.8 but a season goals average of just 0.5 (a discrepancy with xG); however, in the last 5 matches the visitors scored 9 goals (1.8 per match) and their recent xG is 1.95, showing they have been converting in current form. Defensive metrics also signal BTTS: NorthEast conceded an average of 2.0 goals in the last 5 matches (10 conceded), while ATK conceded 1.0 (5 conceded), with season clean sheet rates of 33% for the home side and 50% for the visitors. Additionally, BTTS incidence in the last 5 matches is 80% for the home team and 60% for the visitors, the league BTTS average is 56%, while the season BTTS for both teams is 50% each, which collectively supports a both teams to score scenario. Considering the higher xG and efficiency of the hosts (2.55 xG, 14% conversion) and the visitors’ improved scoring in the last 5 matches (9 goals, 1.8 per match), I assess BTTS - Yes probability at 68% versus 32% for No Goal.

I forecast a total of 2.90 goals in the match: home 2.05, away 0.85. Calculation is based on home attack xG 2.55 versus away defense xG 1.23, yielding ~1.89 expected goals for NorthEast; due to a high conversion rate of 14% and an average of 20.5 shots per match I adjust this up to 2.05. For ATK Mohun Bagan the attack xG 1.8 and home defense xG 1.0 suggest ~1.40, but a very low conversion rate of 3% and only 3.5 on-target shots on average reduce the realistic expectation to ~0.85, which is confirmed by the seasonal away average of 0.5 goals. The home team have had 83% of home matches over 1.5 goals and 50% over 2.5, while the away team have 0% of away matches over 2.5; the league averages 2.52 goals per match, so the ~2.9 forecast is above the league average. Based on this the strongest signal is Over 1.5 (probability 79%), Over 2.5 remains moderately likely (55%), and Over 3.5 is less certain (33%).

NorthEast United has a clear statistical advantage: the home side’s season average goals are 2.83 versus 0.5 for ATK Mohun Bagan, home xG 2.55 against 1.8 and 7.67 shots on target per match vs 3.5 for the visitors, indicating higher quality of chance creation. At half-time NorthEast have scored 14 goals (1.67 HT on average) versus 1 HT goal for the visitors (0.5 on average), and the hosts led at the break in 4 matches (67%), so a lead at the break for the home team is the most likely outcome. ATK, however, have 100% clean sheets at half-time (seasonCSPercentageHT_away = 100%), so I assigned some weight to HT draw scenarios — 12% to 1/X and 10% to X/X. Considering an 83% home win rate and better shot conversion (14% vs 3%), the strongest signal is 1/1 and therefore I allocated 48% probability to it. Remaining smaller probabilities are distributed across alternatives (e.g. 8% X/1, 8% 2/X, 5% 1/2, 4% 2/2), reflecting the visitors’ lower xG and chance production (1.8 vs 2.55).