Machida vs Svay Rieng prediction — AFC Champions League Two
AFC Champions League Two · World
1
1.11
X
10.50
2
18.00
AI picks by market
Each bar is the chance our model gives an outcome, so a longer bar means a likelier result.
Top pick
Lost ✗
85%Chance
Over 2.5 goals
O2.5
Odds @1.24
Very high chance
Full-time result1X2 · win %
Goals lineOver/Under 2.5
Both teams to scoreBTTS
Bet Builder
Half-time
1:0
Exact score
3:0
Forecast statistics
What we forecast, set beside what actually happened.
MachidaModelSvay Rieng
46%Ball possession54%
16Shots17
6Shots on goal5
5Corner kicks5
2Yellow cards2
3Offside calls0
9Fouls made0
MachidaRealSvay Rieng
46%Ball possession54%
18Shots9
5Shots on goal2
7Corner kicks1
1Yellow cards1
1Offside calls0
18Fouls made11
MachidaReal · ModelSvay Rieng
46%46%Ball possession54%54%
1816Shots917
56Shots on goal25
75Corner kicks15
12Yellow cards12
13Offside calls00
189Fouls made110
This season
Both teams' numbers over the whole season.
MachidaPer gameSvay Rieng
2.6Goals for / game2.5
0.8Goals against / game2.1
50%Ball possession60%
14.7Shots per game17.0
4.8Corners per game7.5
Lately
Each team's hit rate on these outcomes.
MachidaRateSvay Rieng
80%Wins30%
100%Over 1.5100%
80%Over 2.580%
80%BTTS80%
Latest form
Each team's most recent games.
Machida(Jpn)
DWLDW
Machida
Kyoto
0
0
1.80
4.30
Machida
Tochigi City
2
1
1.32
9.40
Machida
Kashiwa Reysol
2
4
2.48
2.95
Machida
Yokohama
1
1
1.91
3.90
Nagoya Grampus
Machida
1
3
3.20
2.27
Machida
Kawasaki
2
1
2.02
3.75
Mito
Machida
1
1
4.15
1.91
Machida
Grulla Morioka
3
0
1.18
14.50
Machida
Urawa
3
1
1.88
4.30
Chiba
Machida
0
4
5.00
1.76
Svay Rieng(Cam)
DWWDW
Dangkor
Svay Rieng
1
1
7.30
1.30
Svay Rieng
National D
4
0
1.03
35.00
Kirivong
Svay Rieng
0
3
10.50
1.17
Svay Rieng
Visakha
4
4
1.97
3.35
Svay Rieng
Boeung Ket
3
2
1.70
4.26
Svay Rieng
Phnom P
1
2
2.90
2.75
Al Kuwait
Svay Rieng
4
3
1.70
4.80
Svay Rieng
Boeung Ket
2
3
1.80
4.20
Angkor Tiger
Svay Rieng
4
3
3.80
1.98
Boeung Ket
Svay Rieng
1
1
–
–
Past meetings
No recent games between them
For this fixture, the model works from current form and the underlying stats instead.
Table
Each team's place in the current table.
#
Team
P
GD
Pts




































