· Ligat Al Women
Maccabi Kishronot Hadera W
ATT
4/10
DEF
5/10
0:0
HT
Kiryat Gat W
8/10
ATT
8/10
DEF
LIVE 47′
Best Pick
Over 2.5
65%
Correct Score47′
Top
1-2
9.8%
9.00
Top
0-2
9.2%
12.00
1-1
8.6%
8.50
0-1
8.1%
11.00
1-3
7.4%
13.00
0-3
7%
17.00
2-2
5.2%
12.00
2-1
4.6%
13.00
117%
7.00
X19%
3.40
264%
1.57TOP
1X36%
X283%
1281%
Goal probabilityUpdating
76%
Before FT
Next 5'
15%
Next 10'
28%
Tactical
xG — Expected Goals
Maccabi Kishronot Hadera W
Maccabi Kishronot Hadera W exp
Kiryat Gat W
Kiryat Gat W exp
goal
Maccabi Kishronot Hadera W12Avg 7 · Peak 18
Tactical
Kiryat Gat W15Avg 18 · Peak 34
Momentum
0'15'30'HT60'75'90'
GoalShot
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Maccabi Kishronot Hadera W
Kiryat Gat W
47′Trends
Tactical Battle
Maccabi Kishronot Hadera W
10-min momentum
Kiryat Gat W
39%61%
Maccabi Kishronot Hadera W xG
0.46
exp 0.65-0.19
Kiryat Gat W xG
0.91
exp 0.65+0.26
Goal Probability Window
Next 5'
15%
Next 10'
28%
Next 15'
39%
Attack vs Defense
Maccabi Kishronot Hadera W Attack
3.9/10
Kiryat Gat W Attack
9.0/10
Maccabi Kishronot Hadera W Defense
4.3/10
Kiryat Gat W Defense
10.0/10
FT Predictions
Over 0.5
42%
Over 1.5
42%
Over 2.5
18%
Over 3.5
6%
Under 1.5TOP
58%
Under 2.5TOP
82%
Under 3.5TOP
94%
BTTS
10%
No more goals
24%
Next Goal
Maccabi Kishronot Hadera W scores next
8%
Kiryat Gat W scores nextTOP
69%
No more goals
24%
Maccabi Kishronot Hadera W
1
exp 2.5-1.5
Kiryat Gat W
3
exp 2.5+0.5
Goal Probability Window
Next 5'
38%
Next 10'
61%
Next 15'
76%
FT Corners · 4 scored
Over 9.5
23%
Under 9.5TOP
77%
Over 8.5
39%
Under 8.5TOP
61%
Over 7.5TOP
59%
Next Corner
Maccabi Kishronot Hadera W wins next corner
50%
Kiryat Gat W wins next corner
50%
Maccabi Kishronot Hadera W
1
exp 0.9+0.1
Kiryat Gat W
0
exp 0.9-0.9
Total
1/ 3.5
Late-game intensity
Low
~0.8 remaining
0.8
Exp. FT
3.5
FT Cards Predictions
Over 3.5
5%
Under 3.5TOP
95%
Over 2.5
20%
Under 2.5TOP
80%
Live 1X2
Maccabi Kishronot Hadera W Win
4%
Draw
28%
Kiryat Gat W WinTOP
68%
Goals
Over 2.5
18%
Under 2.5TOP
82%
BTTS
10%
Corners
Over 9.5
23%
Over 8.5
39%
Pressure Index
Maccabi Kishronot Hadera W12
Kiryat Gat W15

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Maccabi Kishronot Hadera W vs Kiryat Gat 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 Maccabi Kishronot Hadera W vs Kiryat Gat 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 Maccabi Kishronot Hadera 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 Maccabi Kishronot Hadera W vs Kiryat Gat 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 Maccabi Kishronot Hadera 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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