· Chinese Super League
Chongqing Tonglianglong FC
ATT
4/10
DEF
5/10
1:1
Shandong Taishan FC
6/10
ATT
5/10
DEF
Full-time
Best Pick
BTTS
59%
Correct Score94′
Top
1-1
11.5%
6.50
Top
2-1
8.6%
10.00
1-2
8.2%
10.00
1-0
8.1%
9.50
0-1
7.8%
10.00
2-2
6.1%
13.00
2-0
6%
13.00
0-0
5.5%
12.00
139%
2.56TOP
X25%
4.04
236%
2.76
1X64%
X261%
1275%
xG — Expected Goals
Chongqing Tonglianglong FC
Chongqing Tonglianglong FC exp
Shandong Taishan FC
Shandong Taishan FC exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Chongqing Tonglianglong FC
Shandong Taishan FC
Confirmed XI5-4-1
1
Haoyang
37
Suowei
6
Jin
33
Lucão
3
Yingkai
26
Xiaoqiang
9
Cîmpanu
10
Amadou
16
Zhang
18
Liang
11
Dimata
Impact Player Hot Head
Chongqing Tonglianglong FC25 players
51.4/ 99Average
Top Rated
1Alexandru CîmpanuFWD70
2Ruijie YueDEF69
3Wei SuoweiDEF66
Shandong Taishan FC31 players
52.0/ 99Average
Top Rated
1Imran MemetMID91
2Zeshi ChenMID75
3Shi SongchenDEF73
Player Rankings
Snipers
Top goal threats
1
CryzanShandong Taishan FC
82
2
Alexandru CîmpanuChongqing Tonglianglong FC
65
3
Ng Yu-HeiChongqing Tonglianglong FC
64
4
Peng YixiangShandong Taishan FC
59
5
Raphaël MerkiesShandong Taishan FC
56
Wall
Top defenders
1
LucãoChongqing Tonglianglong FC
75
2
Peng XiaoShandong Taishan FC
71
3
Michael Ngadeu-NgadjuiChongqing Tonglianglong FC
67
4
Pedro ÁlvaroShandong Taishan FC
66
5
Pengxiang JinChongqing Tonglianglong FC
64
Control
Top playmakers
1
Imran MemetShandong Taishan FC
96
2
Ibrahim AmadouChongqing Tonglianglong FC
68
3
Liuyu DuanShandong Taishan FC
62
4
Zeshi ChenShandong Taishan FC
62
5
Jiaxi YinShandong Taishan FC
59
Bad Boys
Most likely to get booked
1
Yongqiang WuChongqing Tonglianglong FC
1
2
Zheng ZhengShandong Taishan FC
1
3
Zhunyi GaoShandong Taishan FC
1
4
Yuanyi LiShandong Taishan FC
1
5
Ibrahim AmadouChongqing Tonglianglong FC
4
Power Rankings
Strongest overall
1
Imran MemetShandong Taishan FC
91
2
Zeshi ChenShandong Taishan FC
75
3
Shi SongchenShandong Taishan FC
73
4
CryzanShandong Taishan FC
72
5
Alexandru CîmpanuChongqing Tonglianglong FC
70

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Chongqing Tonglianglong FC vs Shandong Taishan FC based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the Chongqing Tonglianglong FC vs Shandong Taishan FC match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If Chongqing Tonglianglong FC has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Chongqing Tonglianglong FC vs Shandong Taishan FC without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Chongqing Tonglianglong FC a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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