Henan Jianye vs Sichuan Jiuniu: match statistics

Henan Jianye holds a clear advantage in chance creation and control: at home they average 55% possession, 12.2 shots per game with 3.4 on target, and 1.4 goals per game. Sichuan Jiuniu away average just 37% possession and 8 shots per game with 3.4 on target; their shot conversion is only 8% versus the hosts' 11%, limiting visitors to 0.6 goals on average away. The quality gap is confirmed by xG: Henan generates xG 1.4 at home, while Sichuan posts xG 0.92 on the road; additionally visitors concede xG against of 1.9 away versus 1.2 for the hosts. Defensively the home side concede 1.2 goals per home game and keep 20% clean sheets, whereas Sichuan concede 2.2 goals away, have a goal difference of -8 and 0% away clean sheets. Considering 1.4 vs 0.6 average goals, superior xG (1.4 vs 0.92), higher possession (55% vs 37%) and the visitors' lack of away wins, I tip a home win; estimated probabilities: home 65%, draw 20%, away 15%.

Henan scores on average 1.83 goals per match and concedes 1.5, has xG 1.44 and averages 13.83 shots with 4.17 on target, while Sichuan records 0.6 goals per match, concedes 2.2, has xG 0.92 and averages 8.0 shots (3.4 on target). Season-to-date the percentage of matches with both teams scoring is 50% for Henan, 60% for Sichuan, and the whole league is at 60%, which provides a baseline signal favoring the "both teams to score" market. Conflicting signals come from recent form: Henan has only 20% BTTS in the last 5 matches (1/5), while Sichuan is at 60% (3/5); additionally Sichuan has kept no clean sheets this season (0%), but also failed to score in 40% of matches. Considering Sichuan concedes 2.2 goals on average and has never had a clean sheet, while Henan has the higher xG (1.44 vs 0.92) and significantly more shots, the BTTS scenario appears more likely despite some opposing indicators. Therefore I assign 65% probability to 'yes' and 35% to 'no', and recommend a 'yes' bet.

I calculated expected goals as the average of a team’s attack and the opponent’s defense: xG Henan = (1.44 + 1.90)/2 = 1.67, xG Sichuan = (0.92 + 1.34)/2 = 1.13, total = 2.80. Assuming a Poisson distribution for total goals (λ=2.80), the probability of at least 2 goals (Over 1.5) is ~77%, at least 3 goals (Over 2.5) ~53%, and at least 4 goals (Over 3.5) ~31%. Additionally, Henan has a seasonal average of 1.83 goals and 13.83 shots per match with 13% conversion (13.83*0.13≈1.80), while Sichuan has 0.60 goals and 8 shots with 8% conversion (8*0.08≈0.64), which confirms the home side’s offensive edge and justifies 1.67 vs 1.13. BTTS stats (Henan 50%, Sichuan 60%) and the league average goals of 2.94 with an Over 2.5 rate of 57% further support a minimum-2-goal scenario. The strongest signal from the data is the Over 1.5 bet (side: over, line: 1.5) due to the projected 2.80 goals and alignment of xG, shot conversion and historical over shares.

Henan is the clear favorite: they score on average 1.83 goals per match versus Sichuan’s 0.60 and generate 1.44 xG compared to 0.92, i.e. about a 0.52 xG advantage, plus better finishing (13% vs 8%). In the first half Henan averages 1.0 goal (10 HT goals) while Sichuan averages 0.4 (6 HT goals); the home side leads at the break in 33% of matches whereas the visitors have never led at the break (0%), which supports a Henan lead at half-time. After the break the hosts also score more often: 0.83 goals on average versus 0.20 for the visitors; more shots (13.83 vs 8.0) and superior conversion mean Henan have a strong chance to hold or extend their advantage. The visitors, however, have a high share of matches with goals at both ends (60%) and 100% of matches with goals after the break, which poses a real risk of an equalizer, so I also give significant weight to the X/1 scenario. In summary, the strongest signal is 1/1 (lead at the break and full-time win for the hosts), which I assign a 40% probability.