TL;DR
- Ancient B site has 61.3% plant success rate – the most vulnerable position in CSGO
- Dust 2 and Mirage show extreme A site bias requiring defensive adjustments
- Use bomb site statistics to preemptively stack popular sites during gun rounds
- Monitor enemy economy to predict site selection and rotate accordingly
- Combine statistical awareness with traditional game sense for maximum advantage

Most CSGO players operate under the false assumption that bomb sites receive equal attention from Terrorist teams. The reality revealed by comprehensive data analysis shows dramatic imbalances that smart competitors can exploit for consistent victory.
Recent analytics from Scope.gg demonstrate clear patterns in terrorist site selection across all major competitive maps. While intuition suggests a balanced 50/50 split between A and B sites, the numbers tell a completely different story about player behavior and strategic preferences.
Intelligent competitors recognize that statistical awareness provides measurable advantages in round outcomes. Understanding these patterns transforms random guessing into calculated strategic decisions.
Scope.gg’s examination of 350,000+ matchmaking games uncovered fascinating terrorist tendencies. Ancient, Dust 2, and Mirage emerged as the most imbalanced maps regarding attack distribution.

The desert-themed maps show overwhelming preference for A site attacks, while Ancient presents the reverse scenario with B site receiving 61.3% of successful plants.
Critical distinction: these statistics reflect successful bomb plants rather than attempted attacks. Failed rushes don’t contribute to the dataset, making the numbers even more valuable for defensive planning.
Ancient B site’s vulnerability rate makes it the statistically weakest defensive position in the entire game. Teams that understand this can allocate resources more effectively during crucial rounds.
Strategic Bomb Site Domination in CSGO
Transforming statistical knowledge into practical advantage requires understanding when and how to apply these insights during actual gameplay situations.
Gun rounds demand special attention to popular sites, particularly on heavily biased maps like Ancient and Dust 2. When terrorists acquire AK-47s, statistically-informed defensive stacking becomes a powerful countermeasure.
Economic awareness provides another layer of strategic depth. Terrorist site selection often correlates with their financial situation – eco rounds frequently feature different patterns than full-buy scenarios.
Common mistake: over-committing to statistical favorites without considering opponent adaptations. Smart teams balance data-driven decisions with in-round information gathering.
Bomb site statistics work best when combined with traditional game sense rather than replacing it entirely. The most successful players use numbers to enhance their decision-making, not dictate it.
Predictive stacking represents the next evolution of statistical play. By anticipating popular site attacks based on map, round type, and opponent tendencies, defenders gain crucial positioning advantages.
Information warfare extends beyond simple site selection. Monitoring enemy purchasing patterns, previous round outcomes, and individual player habits creates a comprehensive predictive model.
Advanced players should track how site popularity changes throughout a match as opponents adjust their strategies. The most valuable insights come from recognizing when patterns shift.
While not as powerful as external assistance tools, statistical awareness provides legitimate competitive edges that accumulate over multiple rounds. Every small advantage contributes to match victory.
Similar to mastering weapon mechanics in our BF6 Weapons Unlock Guide, understanding map statistics requires practice and application to reach full effectiveness.
Action Checklist
- Memorize the 61.3% plant rate at Ancient B site and adjust default positioning accordingly
- Analyze opponent economy each round to predict likely site selection
- Implement predictive stacking on gun rounds for statistically popular sites
- Track how site selection patterns evolve throughout matches and adjust strategies
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