This analysis delves into the upcoming match between Hapoel Nof HaGalil and MS Kafr Qasim, scheduled for October 12, 2025, at 16:00. Both teams enter this encounter with their unique challenges and opportunities. Hapoel Nof HaGalil has shown a tendency to struggle in maintaining defensive solidity, while MS Kafr Qasim has demonstrated resilience in away matches. Recent form suggests that both teams are experiencing fluctuations in performance, with Hapoel Nof HaGalil facing some injuries that could impact their lineup. Tactical notes indicate that MS Kafr Qasim may exploit any defensive gaps left by Hapoel Nof HaGalil, especially given their strong second-half performances in recent fixtures. The match tempo is expected to be cautious initially, with both teams likely to play defensively before opening up in the second half.
Hapoel Nof HaGalil
MS Kafr Qasim
(FT)
Predictions:
| Market | Prediction | Odd | Result |
|---|---|---|---|
| Home Team Not To Score In 1st Half | 97.80% | (1-1) | |
| Both Teams Not To Score In 1st Half | 98.20% | (1-1) | |
| Away Team To Score In 2nd Half | 98.00% | (1-1) | |
| Away Team To Win | 80.00% | (1-1) 2.50 | |
| Home Team Not To Score In 2nd Half | 65.50% | (1-1) | |
| Away Team Not To Score In 1st Half | 64.80% | (1-1) | |
| Both Teams Not To Score In 2nd Half | 68.10% | (1-1) | |
| Over 1.5 Goals | 60.30% | (1-1) 1.35 | |
| Avg. Total Goals | 3.87% | (1-1) | |
| Avg. Goals Scored | 2.90% | (1-1) | |
| Avg. Conceded Goals | 1.77% | (1-1) | |
| Red Cards | 1.67% | (1-1) |
Match Result (1X2)
Data Signals
The odds suggest a strong likelihood of an away team victory, with MS Kafr Qasim favored at 80.00. This prediction aligns with their recent form and the defensive vulnerabilities of Hapoel Nof HaGalil.
Risk Factors
While the odds favor MS Kafr Qasim, the unpredictability of lower-tier matches could lead to unexpected outcomes. Additionally, the potential impact of any last-minute lineup changes due to injuries could alter the dynamics of the game.
Recommended Picks
Given the data signals and risk factors, backing MS Kafr Qasim to win appears to be a calculated risk with a potentially high reward.
Draw No Bet
Data Signals
The high probability of both teams not scoring in the first half (98.20) suggests a cautious start to the match, which might lead to a draw if neither side can capitalize on early opportunities.
Risk Factors
The main risk in betting on a draw is the potential for one team to break through defensively and secure an early lead, which could shift momentum significantly.
Recommended Picks
Considering the cautious start expected, betting on a draw no bet might be prudent if you believe neither team will score early on.
Both Teams To Score (BTTS)
Data Signals
The odds suggest that while it’s likely both teams will score (Over 1.5 Goals at 60.30), there’s a significant chance that they won’t score in either half individually.
Risk Factors
The main risk here is betting against BTTS when one team manages to capitalize on their chances while the other fails to do so.
Recommended Picks
Avoiding BTTS might be wise given the high likelihood of both teams not scoring in either half separately.
Total Goals (Over/Under)
Data Signals
The average total goals predicted is 3.87, suggesting a moderately high-scoring game. However, betting on over 1.5 goals at 60.30 indicates a cautious expectation of goal volume.
Risk Factors
The primary risk lies in underestimating the defensive capabilities of both teams, especially if they adopt a more conservative approach.
Recommended Picks
Betting on over 1.5 goals aligns with the predicted average total goals and seems like a balanced choice given the data.
Average Goals Scored and Conceded
Data Signals
Hapoel Nof HaGalil has an average of scoring 2.90 goals per match and conceding 1.77 goals. This indicates they are capable of finding the net but may struggle defensively against a determined opponent like MS Kafr Qasim.
Risk Factors
The main risk is overestimating Hapoel Nof HaGalil’s offensive capabilities while underestimating MS Kafr Qasim’s ability to exploit defensive weaknesses.
Recommended Picks
Focusing on MS Kafr Qasim’s ability to capitalize on defensive lapses might offer better betting opportunities.
Cards and Red Cards
Data Signals
The average number of red cards per match is 1.67, suggesting that disciplinary issues could play a role in this game, potentially affecting team dynamics and strategies.
Risk Factors
The risk here involves unexpected disciplinary actions leading to player expulsions, which could significantly impact team performance and betting outcomes.
Recommended Picks
Maintaining awareness of player discipline and potential red cards could inform safer betting decisions regarding match flow and outcomes.
