· AFC Women's Champions League
Ayeyawady W
ATT
5/10
DEF
6/10
0:2
INAC Kobe Leonessa W
5/10
ATT
5/10
DEF
LIVE 59′
Best Pick
Over 2.5
83%
Correct Score59′
2-1
7%
81.00
2-2
6.9%
67.00
3-1
6%
16.69
3-2
5.9%
81.00
1-1
5.5%
41.00
1-2
5.4%
34.00
2-3
4.5%
67.00
3-3
3.8%
26.04
151%
51.00TOP
X19%
51.00
230%
1.00
1X70%
X249%
1281%
Goal probabilityUpdating
66%
Before FT
Next 5'
16%
Next 10'
29%
Ayeyawady W xG
0.23
exp 0.71-0.48
INAC Kobe Leonessa W xG
2.28
exp 0.71+1.57
End to end
xG — Expected Goals
Ayeyawady W
Ayeyawady W exp
INAC Kobe Leonessa W
INAC Kobe Leonessa W exp
goal
Ayeyawady W1Avg 2 · Peak 5
INAC Kobe Leonessa W is controlling the game
INAC Kobe Leonessa W38Avg 30 · Peak 64
Momentum
0'15'30'HT60'75'90'
GoalShot
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Ayeyawady W
INAC Kobe Leonessa W
59′Trends
Dead Game
Ayeyawady W
10-min momentum
INAC Kobe Leonessa W
14%86%
Ayeyawady W xG
0.23
exp 0.82-0.59
INAC Kobe Leonessa W xG
2.28
exp 0.82+1.46
Goal Probability Window
Next 5'
16%
Next 10'
29%
Next 15'
40%
Attack vs Defense
Ayeyawady W Attack
5.5/10
INAC Kobe Leonessa W Attack
5.0/10
Ayeyawady W Defense
6.3/10
INAC Kobe Leonessa W Defense
5.0/10
FT Predictions
Over 2.5TOP
66%
Over 3.5
29%
Under 2.5
34%
Under 3.5TOP
71%
BTTS
25%
No more goals
34%
3 decided
Next Goal
Ayeyawady W scores next
18%
INAC Kobe Leonessa W scores nextTOP
48%
No more goals
34%
Ayeyawady W
0
exp 3.1-3.1
INAC Kobe Leonessa W
4
exp 3.1+0.9
Goal Probability Window
Next 5'
35%
Next 10'
58%
Next 15'
73%
FT Corners · 4 scored
Over 9.5
6%
Under 9.5TOP
94%
Over 8.5
14%
Under 8.5TOP
86%
Over 7.5
28%
Next Corner
Ayeyawady W wins next corner
50%
INAC Kobe Leonessa W wins next corner
50%
Ayeyawady W
0
exp 1.1-1.1
INAC Kobe Leonessa W
2
exp 1.1+0.9
Total
2/ 3.5
Late-game intensity
Mid
~0.7 remaining
0.7
Exp. FT
3.5
FT Cards Predictions
Over 3.5
16%
Under 3.5TOP
84%
Over 2.5
50%
Under 2.5
50%
Live 1X2
Ayeyawady W Win
0%
Draw
2%
INAC Kobe Leonessa W WinTOP
98%
Goals
Over 2.5TOP
66%
Under 2.5
34%
BTTS
25%
Corners
Over 9.5
6%
Over 8.5
14%
Pressure Index
Ayeyawady W1
INAC Kobe Leonessa W38
Probable XI4-4-2
Ei
Lin
Oo
Davidson
Wai
Win
Marlar
Win
Thaw
Impact Player Hot Head

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Ayeyawady W vs INAC Kobe Leonessa W 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 Ayeyawady W vs INAC Kobe Leonessa W 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 Ayeyawady W 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 Ayeyawady W vs INAC Kobe Leonessa W 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 Ayeyawady W 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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