Use the CC from your abilities to land both of your Precision Protocol attacks on enemies.
Try waiting until the other team is distracted with fighting your team, and use Hookshot to pick off vulnerable targets.
The stats shown here underscore some valuable Camille versus Renata Glasc matchup statistics that can help you interpret the differences between the pair. Camille’s KDA ratio ([kills + assists] / deaths) of NaN is better than Renata Glasc’s KDA ratio of NaN, highlighting that Camille may be more central to her team's team fighting potential than Renata Glasc. This observation is largely caused by the difference in kills.
Camille usually has a much larger longest killing spree than her enemy does. On average, she receives more damage than Renata Glasc. This commonly reflects different amounts of tankyness; however, it can also illustrate that the one champ has less agility and thus is not able to kite away from further damage when engaged or poked.
Both League of Legends champs are great champions. Both have their pros and cons. In League's current meta, Camille usually loses when trying to fight Renata Glasc, with a 47.0% win rate. Thus, Camille makes a bad counter to Renata Glasc.
While Camille does have a lower winrate than Renata Glasc, when they face off with one another, Camille also has a much lower learning curve that makes her a less time consuming champ to pick up and master. You should be very concerned when picking Camille into Renata Glasc.
Moreover, Camille also has only a small amount of CC and other utility, a similar amount to Renata Glasc. This often makes her just as valuable during teamfights, especially when facing champions with a ton of burst damage.
While there is not a single best champion in League of Legends, in Camille vs Renata Glasc matchups, Renata Glasc is the better champion with a much lower win rate, less champion complexity, and a similar amount of utility to help out your allied champions during late stage team fights.
Camille is a trash counter for Renata Glasc. You will do well by focussing your tactics on increasing your gold income and destroying objectives. If you do that, you should hold your own as Camille against Renata Glasc.
To truly master Camille in order to counter Renata Glasc during both the laning and mid / late game phases of League of Legends, you should keep reading to gather a few extra lessons on this matchup. If you listen to the build and tips displayed above, you should increase your win rate by a lot and be that much closer to League of Legends pro players.
Camille often picks up much more CS relative to Renata Glasc. Champions who typically don't take much CS usualy don't have to have much CS to be effective, such as supports. They are able to scale properly off of their skills, stats, and first items alone. Yet, champions with a lot of CS, such as hyper-carries, typically have to have many items to be effective. In either situation, try to do better than the numbers reported on this page to do well.
The top items to use in your Camille versus Renata Glasc build consist of Ravenous Hydra, Trinity Force, and Sundered Sky. When Camille incorporated at least these three pieces in her build, she performed a lot better countering Renata Glasc than with many other commonly used counter builds. In fact, Camille had an average win rate of 47.0% when countering Renata Glasc with these items in her kit.
To have the best probability of beating Renata Glasc as Camille, Camille players should take the Grasp of the Undying, Shield Bash, Bone Plating, Unflinching, Biscuit Delivery, and Magical Footwear runes from the Resolve and Inspiration rune sets. Out of all the rune combinations we have analyed for Camille vs Renata Glasc fights, this mixture of runes yielded the greatest win rate. Moreover, these runes gave a 47.0% win rate overall.
If you would like to see Camille versus Renata Glasc tips and builds for a a particular skill level, feel free to select one from the selection menu displayed above. If viewing for the first time, the statistics and build suggestions displayed are computed using every match with data with these champs.