$5/$10 is the top of the range RangeIQ covers, and it is the stake where the tool claims the least. The engine models this pool as the most balanced of the four: it folds to continuation bets most often, bluffs most often, and over-folds the turn least. Population-level exploits get narrower here, and it is worth saying so plainly.
How the $5/$10 pool plays
The model treats $5/$10 as high stakes, and the parameters move accordingly. Calling frequency is the lowest of any stake in the engine, aggression the highest, and the reflexive over-folds that make low-stakes exploits so reliable are largely gone.
The engine's own read is that players at this level balance well, so exploit tendencies are narrower. That is not a reason to abandon exploitative study — it is a reason to change what you are exploiting.
What that changes in practice
Population reads stop carrying you. At $1/$2 you can profit from what the pool does on average. At $5/$10 the average is close enough to sound that betting against it is thin. The edge moves from the pool to the person.
Individual profiling does the work. A player who folds too much to river aggression is still exploitable at any stake; the difference is that at $5/$10 you have to identify them specifically rather than assume it. Profiling each opponent, rather than each table, is the whole adjustment.
Smaller edges, applied more carefully. The adjustments are the same adjustments — size up against a caller, fold to a nit, attack a capped range — but the reads that justify them are rarer, so acting on a read you have not established is more expensive than it was two levels down.
Being honest about the ceiling
RangeIQ is built around live cash games from $1/$2 through $5/$10, and it is most useful at the bottom of that range, where population tendencies are strong and consistent. At $5/$10 it remains a study tool for working through spots against a described opponent, but the automatic edge that comes from a pool making the same mistake every session is smaller.
If you play mostly $5/$10, the honest framing is that the value here is in structured review — working out why a line was right against this specific opponent — rather than in a population read you can apply on sight.
Related: what RangeIQ is, how it compares with a solver, and the glossary for the terms used here.