Take advantage of Flurry by weaving in basic attacks between spell casts - this maximizes damage output and minimizes Energy loss.
Self-casting Safeguard and using Iron Will are powerful tools for killing neutral monsters (in the jungle).
Use Sonic Wave before Dragon's Rage so you can chase the target with Resonating Strike.
Orianna can only affect the area the Ball is around. Use this to your advantage.
Watch out for Orianna's Ball returning to her due to leashing. This may cause some unexpected situations.
The stats shown here show several significant Lee Sin versus Orianna counter statistics that may help us figure out the differences and similarities between the pair. Lee Sin’s KDA ratio ([kills + assists] / deaths) of NaN is greater than Orianna’s ratio of NaN, indicating that Lee Sin may be more central to his team's team fighting capacity than Orianna..
Lee Sin normally has a slightly larger longest kill spree than his enemy does. On average, he takes more damage than Orianna. This is usually reflective of differing health capacities, but it can also hint that the one champion has less mobility and thus is unable to flee from further harm when engaged or poked.
Both LoL champs are great. Both champs have their pros and cons. In the game's current meta, Lee Sin usually fairs equally well when trying to fight Orianna, with a 49.1% win rate. Thus, Lee Sin makes an ok counter to Orianna.
While Lee Sin does have a lower win rate compared to Orianna, when on opposite teams, Lee Sin also has a lower learning curve that makes him a less difficult character to develop with. You still need to be cautious when picking Lee Sin into Orianna.
Furthermore, Lee Sin also has some amount of CC and other utility, a similar amount to Orianna. This makes her just as valuable during teamfights, especially when fighting champions with a ton of burst damage.
While there is not a single best champion for every situation in League of Legends, in Lee Sin vs Orianna matchups, Orianna is the better champ with a similar win rate, less champion complexity, and a similar amount of utility to help out your allies during teamfights.
Lee Sin is a somewhat poor counter for Orianna. Focus your tactics on maximizing your gold income and clearing objectives. If you can do that, you should be able to stand on your own as Lee Sin against Orianna.
To truly master Lee Sin to counter Orianna during both the lane and mid / late game phases of League of Legends, you should continue reading to pick up a few extra tips and tricks for this matchup. If you listen to the build and suggestions presented above, you should increase your win rate significantly and be that much closer to League of Legends pro players.
Lee Sin on average gets a lot less CS as Orianna. Champs who typically don't take many minion kills usualy don't require much CS to be effective, such as sup champs. They are able to scale well off of their abilities and first items alone. Yet, champions with a lot of CS, such as hyper-carries, usually need many items to be effective. In either situation, try to surpass the values shown on this page to do well.
The most important items to focus on in your Lee Sin versus Orianna build include Black Cleaver, Death's Dance, and Sundered Sky. When Lee Sin included at least these three pieces in his build, he did much better versus Orianna than with most other commonly used item sets. In fact, Lee Sin boasted an average win rate of 49.1% when countering Orianna with this build.
To have the highest probability of defeating Orianna as Lee Sin, Lee Sin players should use the Conqueror, Triumph, Legend: Alacrity, Coup de Grace, Cosmic Insight, and Magical Footwear runes from the Precision and Inspiration rune sets. Of all the runes we have analyed for Lee Sin vs Orianna clashes, this combo of runes yielded the greatest win rate. In fact, these runes gave a 49.1% winrate overall.
If you need to get Lee Sin versus Orianna tips and counter stats for a a distinct division, feel free to select one from the selection menu above. At first, the stats and build suggestions shown are calculated using all rounds with data with both champs.