Public resources

Choose the system without being sold a fairy tale.

Info explains counts, rules, simulation fixtures, and uncertainty. The current numbers are useful, but they are not a universal ranking of human skill.

System libraryChoose a counting systemTags, effort, betting correlation, playing efficiency, and the practical trade-offs behind each count.ObservatoryRead table mathHouse edge by rules, system comparisons, confidence intervals, and the assumptions behind the public fixtures.Practice mapEnter the salonsStart with basic strategy, move into count drills, then test decisions under normal and High Roller table pressure.

Methodology note

Harder systems need honest context.

The public comparisons currently use shared spreads, public index sets, and no ace side-count implementation. That can make simple unbalanced counts look unusually attractive in headline EV. Wong Halves, Hi-Opt, Omega, and other harder systems are often about precision, pitch-game value, side-count discipline, team language, and thinner error bands. The site should show those reasons plainly instead of treating one baseline fixture as a universal winner.

EV formula

Fixture EV/hr is not a closed-form ranking formula. It is simulated mean units per round times table-min dollars times rounds per hour.

Instant rules

Observatory adjusts the fixed fixture by a shared house-edge delta for instant reads. Custom Monte Carlo is the stricter check for a selected table.

When hard counts win

Optimized ramps, deeper penetration, high betting-correlation shoe games, pitch games, and ace side counts can make Halves or ace-neutral systems worth the work.