· Ligat ha'Al
Hapoel Petah Tikva
ATT
4/10
DEF
6/10
vs
Beitar Jerusalem
9/10
ATT
6/10
DEF
Programmata· Sun 25 Oct · 18:15
Migliore scelta
GOL DI ENTRAMBE
55%
Risultato esatto
Eccellente
1-1
11.6%
8.00
Eccellente
0-1
10.1%
8.50
1-2
9.5%
8.50
0-2
8.3%
8.00
1-0
7.2%
19.00
2-1
6.7%
17.00
0-0
6.2%
15.00
2-2
5.4%
15.00
127%
5.25
X25%
3.90
249%
1.50TOP
1X52%
X274%
1276%

Combinata

3 selezioni

Beitar Jerusalem’s fifth-place standing and explosive attack (+73% power, 1.76 xG) give them the edge over 12th-placed Hapoel Petah Tikva. Hapoel’s 1.00 xG offers a credible route to a goal, while the combined 2.76 xG points toward an open contest likely to clear 2.5, with Beitar expected to prevail.

1Match WinnerBeitar Jerusalem FC
2Match GoalsOver 2.5
3Both Teams to ScoreYes
Confirmed XI4-5-1
1
Katz
12
Israeli
5
Moucketou-Moussounda
20
Israelov
72
Nassar
6
Ehud
29
Amian
7
Levy
24
Badash
26
Kimvuidi
9
Bile
Impact Player Hot Head
Hapoel Petah Tikva30 giocatori
45.4/ 99Medio
Migliori
1Matan GoshaDEF64
2Hamidou KeytaFWD63
3Orel DganiDEF62
Beitar Jerusalem28 giocatori
55.8/ 99Forte
Migliori
1Boris EnowMID72
2Nadav MarkovitchMID72
3Omer AtziliFWD72
Classifiche giocatori
Cecchini
Maggior minaccia di gol
1
Ori AzoBeitar Jerusalem
91
2
Omer AtziliBeitar Jerusalem
83
3
Johnbosco Samuel KaluBeitar Jerusalem
77
4
Hamidou KeytaHapoel Petah Tikva
64
5
Yarden ShuaBeitar Jerusalem
60
Muro
Migliori difensori
1
Liel DeriBeitar Jerusalem
76
2
Brayan CarabalíBeitar Jerusalem
66
3
Ido TassaHapoel Petah Tikva
63
4
Orel DganiHapoel Petah Tikva
60
5
Luka GadraniBeitar Jerusalem
59
Controllo
Migliori registi
1
Nadav MarkovitchBeitar Jerusalem
78
2
Aílson TavaresBeitar Jerusalem
64
3
Tomer AltmanHapoel Petah Tikva
61
4
Ziv Ben ShimolBeitar Jerusalem
59
5
Alexis Serna Beitar Jerusalem
58
Cattivi ragazzi
Più propensi ai cartellini
1
Stav IsraeliHapoel Petah Tikva
1
2
Boni AmianHapoel Petah Tikva
1
3
Tomer AltmanHapoel Petah Tikva
1
4
Ori AzoBeitar Jerusalem
1
5
Avishay CohenHapoel Petah Tikva
2
Classifica potenza
Più forti in assoluto
1
Boris EnowBeitar Jerusalem
72
2
Nadav MarkovitchBeitar Jerusalem
72
3
Omer AtziliBeitar Jerusalem
72
4
Liel DeriBeitar Jerusalem
65
5
Matan GoshaHapoel Petah Tikva
64

Domande frequenti

Our Poisson model calculates the probability of every possible scoreline for Hapoel Petah Tikva vs Beitar Jerusalem 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 Hapoel Petah Tikva vs Beitar Jerusalem 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 Hapoel Petah Tikva 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 Hapoel Petah Tikva vs Beitar Jerusalem 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 Hapoel Petah Tikva 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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