Shanghai SIPG vs Tianjin Teda: match statistics

Shanghai SIPG holds a clear advantage in possession and chance creation: average possession 64% vs 37% for Tianjin, average shots per match 14.71 vs 9.67 and average shots on target 4.29 vs 3.83. Chance quality also favors the hosts — average xG for Shanghai at home is 1.71 vs 1.06 xG for Tianjin away, and Shanghai scores on average 2.14 goals per home match, while Tianjin averages 1.5 goals on the road. Additionally, the hosts have not been shut out in home matches (0% matches without a goal), whereas Tianjin failed to score in 33% of away fixtures; in the last 5 matches Shanghai has scored 7 goals and averages 1.2 points per match, while Tianjin has 6 goals and only 0.6 points per match. The away defense looks weaker in terms of conceded xG — Tianjin allows opponents 1.89 xG on the road, while Shanghai concedes 1.11 xG at home and loses on average 1.29 goals per match. Considering possession superiority, higher xG (1.71 vs 1.06), higher average home goals scored (2.14) and the fact that the hosts consistently earn more points (1.2 vs 0.6 pts per match in the last 5), I predict a home win; probability estimate: home 62%, draw 23%, away 15%.

The statistical analysis strongly favors BTTS: Shanghai SIPG records BTTS at 86% for the season and 80% in the last 5 matches, while Tianjin Teda has 50% for the season and 100% BTTS in their last 5 fixtures. Both teams regularly score and concede – Shanghai averages 1.14 goals scored and 1.71 conceded per match, Tianjin averages 1.5 scored and 1.33 conceded; in the last 5 matches both conceded an average of 1.6 goals. Quality-of-chance metrics show similar attacking potential (xG for attack 1.02 for Shanghai vs 1.06 for Tianjin), but markedly different defensive exposure: xG against is 1.27 for Shanghai and 1.89 for Tianjin, suggesting both sides will create scoring opportunities for the opponent. Additionally, Tianjin registers more on-target shots (3.83 vs 2.71), clean sheets are rare (14% Shanghai, 17% Tianjin), and the league BTTS rate is 63%. In summary the strongest signal is 'BTTS - Yes' — given 86% and 100% recent BTTS, low clean sheet probability and higher xG against for the visitors, I assess the BTTS probability at approximately 80%.

Based on xG: Shanghai has xG_for 1.02 while Tianjin concedes on average 1.89 xG, yielding an expected home score ≈(1.02+1.89)/2 = 1.46; similarly for the visitors (1.06+1.27)/2 = 1.17, total ≈2.63 goals. A Poisson distribution with λ=2.63 gives approximately a 73.8% chance of ≥2 goals (Over 1.5), ≈48.9% for ≥3 goals (Over 2.5) and ≈27.0% for ≥4 goals (Over 3.5). Seasonal metrics support the Over 1.5 signal: Shanghai has 86% of matches over 1.5 and 71% over 2.5, Tianjin has 83% over 1.5 and 50% over 2.5; in the last 5 games the home side averaged 3.0 goals per game (1.4 scored, 1.6 conceded), the visitors 2.8 (1.2/1.6). I conclude the strongest and most reliable signal from the data is Over 1.5 (recommendation: Over 1.5), since the expected 2.63 goals and high seasonal Over 1.5 shares (86%/83%) provide a clear edge; Over 2.5 is essentially borderline (~49%) and Over 3.5 (~27%) offers no betting value.

I forecast a draw at half-time with an away win at full-time (X/2). Both teams frequently share a lead at the break: Shanghai SIPG were level at half-time in 71% of their matches, and Tianjin Teda in 50% — an average of about a 61% chance of a draw at half-time. Tianjin Teda appears stronger over the full 90 minutes: average points per match are 1.33 for the visitors versus 0.43 for the hosts, and the away win percentage is 33% compared to 0% home wins, which increases the probability of a turnaround in favor of the visitors after the break. Offensive metrics also favor the visitors: the visitors’ xG is 1.06 versus the hosts’ 1.02, shot conversion 16% vs 13%, and on average 3.83 shots on target for the visitors compared with 2.71 for the hosts, so the visitors have a higher chance of scoring in the second half. Additionally, both teams often score in second halves — 86% of the hosts’ matches and 83% of the visitors’ matches feature at least one goal after the break — therefore the half-time draw and full-time away win scenario looks the strongest.