Ligue 1
Angers SCO - Troyes
09/19/2026, 06:45 PM
预期进球
1.3
2.3
1.0
1:1
15%0:0
11%1:0
11%2:1
9%2:0
9%xG 分解
Angers SCO
Troyes
模型概率
比赛结果
主胜
43%
平局
31%
客胜
27%
进球数
Over 1.5
69%
Under 1.5
31%
Over 2.5
41%
Under 2.5
59%
Over 3.5
21%
Under 3.5
79%
双重机会
主胜或平局
73%
客胜或平局
57%
非平局
69%
双方进球
是
48%
否
52%
关键因素
- Midfield form: Branco van den Boomen is in outstanding shape for Angers SCO, recently averaging a 7.45 rating
- Tactical setup: Angers SCO averaged 2.6 shots on target in recent matches, facing a Troyes side conceding 2.25 goals per game
- Model backing: The mathematical analysis favors the home side with a 43% win probability
风险因素
- Critical offensive vacuum for Troyes with 0% active goal share available in the squad data
- Limited player performance data available for Troyes in the provided dataset
概述
Angers SCO host Troyes at the Stade Raymond Kopa
Ligue 1 match on September 19, 2026, 8:45 PM
Mid-table clash between 11th and 12th place
Both sides are currently level on 4 points
近期状态
Angers SCO enter with a form of DLWLD
Coming off a 0-0 draw against Le Havre
Troyes show a form of DWLL
Losing 0-2 against LOSC Lille in their last match
Angers SCO show a positive trend scoring 1.3 goals recently compared to their 1.0 season average
统计数据
Angers SCO average 0.86 goals scored and 0.95 conceded at home
Troyes concede an average of 1.50 goals in away games
The visitors average 2.25 goals conceded per game this season
The mathematical prediction projects 1.33 home goals and 1.00 away goals
关键球员
Branco van den Boomen leads Angers with a 7.45 rating, scoring 1 goal and 1 assist in the last 5 matches
Ousmane Camara shows a rising form trend with a 7.10 rating
Amine Sbaï is also on an upward trend with a 6.84 rating
门将
Anthony Lopes is in goal for the hosts, averaging a 7.35 rating at home
Patrick Beach starts in goal for Troyes
Angers SCO have kept 10 clean sheets this season compared to just 1 for Troyes
影响因素
The match is played on grass at Stade Raymond Kopa
Venue statistics show an average of 2.4 goals per game
Both teams scored in 60% of matches at this venue
The model predicts a 43% probability for a home win