Beijing Guoan vs Tianjin Teda: match statistics

I predict a draw (X): the home side has an edge in control and chance creation — 51% average possession at home versus 40% for the visitors and higher average xG at home 1.22 versus 0.98 for Tianjin away. Despite this advantage Beijing Guoan have not won at home yet (0% home wins; 50% losses and 50% draws) and concede on average 1.5 goals at their stadium, which limits their edge. Tianjin are slightly more efficient in finishing (11% conversion vs 9% for the hosts) and have scored 7 goals in the last 5 matches versus 4 for the hosts, but they also failed to score in 67% of their away games. The hosts average 11 shots per match (2.5 on target) versus 9 shots (2.67 on target) for the visitors, and the hosts’ lack of clean sheets (0%) increases the likelihood of a shared points outcome. Considering average points in the last 5 matches (1.0 for the hosts vs 0.8 for the visitors) and identical goals-per-game average (1.0 for both), the most likely scenario is a low-scoring, even match ending in a draw.

BTTS looks more likely: Beijing Guoan has a home BTTS rate of 75% this season, with a league BTTS percentage of 54%. Tianjin Teda has a season away BTTS of 0%, but in the last 5 matches both teams record BTTS at 60% and Tianjin averages 1.4 goals per match, suggesting form regression relative to the season. Both teams generate comparable chances — attacking xG 0.96 (Beijing) vs 0.98 (Tianjin), shots on target 2.75 vs 2.67 and conversion 12% vs 11% — so created chances have a real probability of goals from both sides. Against BTTS speaks the fact Tianjin failed to score in 67% of away matches this season and the visitors conceded 9 goals in the last 5 matches (Beijing conceded 5), which brings the risk of one side failing to score. Considering Beijing’s 75% BTTS, 60% BTTS for both teams in the last 5, xG against Tianjin 1.79 and the combined seasonal goals average 2.0 (1.0+1.0), I assign 70% to 'Yes' (BTTS - Yes) and 30% to 'No' (No Goal).

xG comparison: Beijing has xG_for 0.96 and xG_against 1.32, Tianjin has xG_for 0.98 and xG_against 1.79; the average of these pairs yields expected goals of 1.38 for the home side and 1.15 for the away side, totaling ~2.53 goals. Season stats confirm a tendency for at least two goals: Over 1.5 occurred in 75% of Beijing matches and 67% of Tianjin matches, while the league averages 2.75 goals per game. A Poisson model for a total of 2.53 estimates about a 72% chance of over 1.5, whereas over 2.5 has only ~46% probability, so the 2.5 line is too risky. Additionally, both teams average a similar number of shots (8.25 vs 9.0) with conversion rates of 12%/11% (yielding ~0.99 goals from these parameters per team), which reinforces the expectation of at least two goals. I conclude the best pick is Over 1.5 goals.

The hosts drew at halftime in 75% of their matches (drawingAtHTPercentage_home = 75.0), and the average goals at the break are 0.75 for the home side versus 0.67 for the visitors (AVGHT_home = 0.75, AVGHT_away = 0.67), which strongly supports a draw at HT. After the break the visitors have the edge: second-half points per game are 1.0 for Tianjin (ppg_2hg_away = 1.0) versus 0.5 for Beijing (ppg_2hg_home = 0.5), and the percentage of matches with a goal after halftime is 100% for the away team vs 75% for the home team (over05_2hg_percentage_away = 100.0, over05_2hg_percentage_home = 75.0). xG and shot counts are almost identical (xG: 0.96 home vs 0.98 away; shots: 8.25 vs 9.0), but the visitors convert more in the second half (points_2hg_away = 3 vs points_2hg_home = 2 and wins_2hg_percentage_away = 33.0% vs 0.0%). Based on this, the most likely scenario is a draw at halftime and an away win (X/2 — 38%); the second most likely is draw-draw (X/X — 28%); home-side leads at the break occur in only 25% of cases, which limits scenarios starting with “1”.}