· Ligat Al Women
Maccabi Kishronot Hadera W
ATT
4/10
DEF
5/10
0:0
Kiryat Gat W
8/10
ATT
8/10
DEF
CANLI 46′
En iyi tahmin
Üst 2.5
65%
Doğru skor46′
Mükemmel
1-2
9.8%
9.00
Mükemmel
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%
6.50
X19%
3.20
264%
1.67TOP
1X36%
X283%
1281%
Gol olasılığıGüncelleniyor
78%
Maç sonuna kadar
Sonraki 5'
16%
Sonraki 10'
29%
Maccabi Kishronot Hadera W xG
0.52
bekl. 0.57-0.05
Kiryat Gat W xG
0.92
bekl. 0.57+0.35
Taktiksel
xG — Beklenen goller
Maccabi Kishronot Hadera W
Maccabi Kishronot Hadera W bekl.
Kiryat Gat W
Kiryat Gat W bekl.
goal
Maccabi Kishronot Hadera W23Ort. 8 · Zirve 23
Açık
Kiryat Gat W16Ort. 18 · Zirve 34
Momentum
0'15'30'HT60'75'90'
GoalShot
15 dk'da bir
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Maccabi Kishronot Hadera W
Kiryat Gat W
46′Trends
Tactical Battle
Maccabi Kishronot Hadera W
10-min momentum
Kiryat Gat W
39%61%
Maccabi Kishronot Hadera W xG
0.52
bekl. 0.64-0.12
Kiryat Gat W xG
0.92
bekl. 0.64+0.28
Gol olasılığı penceresi
Sonraki 5'
16%
Sonraki 10'
29%
Sonraki 15'
40%
Hücum - Savunma
Maccabi Kishronot Hadera W Hücum
3.9/10
Kiryat Gat W Hücum
9.0/10
Maccabi Kishronot Hadera W Savunma
4.3/10
Kiryat Gat W Savunma
10.0/10
MS tahminleri
Üst 0.5
44%
Üst 1.5
44%
Üst 2.5
19%
Üst 3.5
7%
Alt 1.5ÜST
56%
Alt 2.5ÜST
81%
Alt 3.5ÜST
93%
KG VAR
11%
Başka gol yok
22%
Sonraki gol
Sonraki golü Maccabi Kishronot Hadera W atar
8%
Sonraki golü Kiryat Gat W atarÜST
70%
Başka gol yok
22%
Maccabi Kishronot Hadera W
1
bekl. 2.4-1.4
Kiryat Gat W
3
bekl. 2.4+0.6
Gol olasılığı penceresi
Sonraki 5'
38%
Sonraki 10'
62%
Sonraki 15'
76%
MS Kornerler · 4 atıldı
Üst 9.5
25%
Alt 9.5ÜST
75%
Üst 8.5
42%
Alt 8.5ÜST
58%
Üst 7.5ÜST
61%
Sonraki korner
Sonraki korneri Maccabi Kishronot Hadera W kazanır
50%
Sonraki korneri Kiryat Gat W kazanır
50%
Maccabi Kishronot Hadera W
1
bekl. 0.9+0.1
Kiryat Gat W
0
bekl. 0.9-0.9
Toplam
1/ 3.5
Son dakika temposu
Düşük
~0.9 kaldı
0.9
Bekl. MS
3.5
MS kart tahminleri
Üst 3.5
6%
Alt 3.5ÜST
94%
Üst 2.5
21%
Alt 2.5ÜST
79%
Canlı 1X2
Maccabi Kishronot Hadera W Kazanır
4%
Beraberlik
27%
Kiryat Gat W KazanırÜST
69%
Goller
Üst 2.5
19%
Alt 2.5ÜST
81%
KG VAR
11%
Kornerler
Üst 9.5
25%
Üst 8.5
42%
Baskı endeksi
Maccabi Kishronot Hadera W23
Kiryat Gat W16

Sıkça Sorulan Sorular

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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