Maccabi Netanya vs Hapoel Katamon: match statistics

Maccabi Netanya are the favorites for this match: this season the hosts have scored 50 goals versus Hapoel Katamon’s 24, and at home they average 1.87 goals with a 12% shot conversion, while the visitors average 0.93 goals per away game with a 9% conversion. In the last 5 matches Netanya have scored 8 goals and won 3 times (avg. 2 points per game), whereas Katamon scored 2 goals and managed only 1 win (avg. 1 point), confirming the hosts’ superior form. Netanya also have better xG and create more chances — home xG is 1.83 versus 1.31 xG for the visitors away, more shots on target (6.13 vs 3.8) and greater possession (53% vs 39%). Defensively the visitors are relatively solid on the road (clean sheets in 33% of matches and 1.33 goals conceded on average), while the hosts concede 1.73 goals at home and have only 20% clean sheets, so a match with goals is possible. Given the clear advantage in attack and quality of chances, I rate the hosts as more likely to win.

The primary signal for BTTS comes from xG: Maccabi has xG_for 1.25 and Hapoel 1.31, implying probabilities of scoring at least one goal of ~71% and ~73% respectively (1 - e^-xG), and the product of these values suggests ~52% chance for BTTS. Seasonal indicators further support this scenario — Maccabi has BTTS in 50% of matches, Hapoel in 60%, and the league average is 56%, which pushes the expectation to ~55–56%. Against BTTS stands Hapoel’s recent form: in the last 5 matches they scored only 2 goals (0.4 avg) and had BTTS in 20%, whereas Maccabi in that period scored 8 goals (1.6 avg) and had BTTS in 40%, reducing confidence in an away goal. Both teams also display high xG_against (1.81 and 1.84) and concede on average 1.43 and 1.33 goals this season, so scoring opportunities exist on both sides, but Hapoel’s recent inefficiency lowers the probability. Weighing the signals (xG and seasonal BTTS vs. away team’s poor form) I forecast BTTS 58% for “yes” and 42% for “no” and recommend selecting “yes” as the more likely outcome.

xG-based model: home xG_for=1.25, away xG_for=1.31, and both defenses concede high xG (xG against homes 1.81 and away 1.84), which averages to an expected 1.55 goals for the home side and 1.56 for the away side (total ≈3.11). Seasonal goals averages are lower than xG: homes score 0.71 goals per match vs xG 1.25 (difference -0.54), away 0.93 vs xG 1.31 (difference -0.38), indicating poor finishing. Seasonal Over1.5 rates are 64% (home) and 67% (away), and the forecasted xG=3.11 raises the probability of Over1.5 to about 74%, so Over1.5 has a clear edge. For the 2.5 line, seasonal Over2.5 are 43%/47% and the hosts’ last 5 matches show 60% Over2.5 vs 20% for the visitors, yielding only a weak/moderate signal for Over2.5 (~52%). The strongest signal is Under3.5: seasonal Under3.5 are 86% for home and 73% for away, combining to roughly a 78% chance of fewer than 4 goals, therefore I recommend Under 3.5 as the best line.

The strongest signal comes from the first half: the home side were level at the break in 36% of matches, while the visitors were level at the break in 73%, giving roughly a 55% chance of an HT draw. Additionally, both teams register high percentages of clean sheets at halftime (home 64%, away 80%) and low first-half BTTS (7% and 13%), which suggests many 0-0/1-0 scorelines at the break. In the second half the visitors are more active offensively — averaging 1.67 goals in second halves and 0.67 goals scored after the break compared with the hosts, who average 1.14 in second halves and 0.29 scored after the break, while the home side concedes on average 0.86 after the break; this increases the risk of a turnaround in favor of the visitors after halftime. Nevertheless, the overall share of draws in the season (29% for the home side and 40% for the visitors) and the high frequency of HT draws mean the most likely scenario is a draw at Half-Time and a draw at Full-Time (X/X).