BIT vs Guangxi Lanhang: result 0-1 and analysis
League TwoPromotion Group - 1Kick-off on August 20, 2023 at 08:00 AM (UTC)Beijing Institute of Technology Eastern Athletic Field, Beijing
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What was the result of BIT vs Guangxi Lanhang?
Guangxi Lanhang won 0-1 on August 20, 2023.
Goalscorers
- 53′Chen ZewenGuangxi Lanhang
What is the recent form of both teams?
Over their last 15 matches in all competitions, BIT have 5 wins, 5 draws and 5 defeats; Guangxi Lanhang have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2023 | Dalian Zhixing(away) | 0-2 | League Two |
| Jul 29, 2023 | Zibo Qisheng(home) | 1-0 | League Two |
| Jul 22, 2023 | Qingdao Red Lions(home) | 1-2 | League Two |
| Jul 15, 2023 | Wuhan Jiangcheng(away) | 0-0 | League Two |
| Jul 8, 2023 | Tai'an Tiankuang(away) | 1-1 | League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2023 | Chongqing Tongliang Long(home) | 1-1 | League Two |
| Jul 30, 2023 | Quanzhou Yassin(away) | 1-0 | League Two |
| Jul 23, 2023 | Yunnan Yukun(away) | 1-1 | League Two |
| Jul 15, 2023 | Hunan Billows FC(home) | 1-0 | League Two |
| Jul 9, 2023 | Yichun Grand Tiger(away) | 1-0 | League Two |
How many goals should we expect?
BIT score 0.7 and concede 0.7 goals per match over their last 15; Guangxi Lanhang score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BIT | 0.7 | 0.7 | 8 | 5/15 | 3/15 |
| Guangxi Lanhang | 1.1 | 0.7 | 7 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
BIT sit 4th in League Two (35 points from 30 matches) and Guangxi Lanhang sit 8th (8 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | BIT | 30 | 11 | 2 | 17 | 39 | 36 | 35 |
| 8 | Guangxi Lanhang | 30 | 0 | 8 | 22 | 16 | 71 | 8 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy