Olaf can combine Berserker Rage, Vicious Strikes, and Ragnarok at low life to become deceptively strong.
The bonus healing granted by Vicious Strikes amplifies your Life Steal from all sources as well as heals from allies.
Jhin places invisible traps around the map. Watch where you step!
Jhin's attacks are quite potent, but he runs out of ammo after the 4th shot. Use this window to jump him and burst him down.
Deadly Flourish only roots those hit by one of Jhin's basic attacks, traps, or allies within the last 4 seconds.
The stat comparisons provided here highlight several strategic Olaf against Jhin counter statistics that may help us realize the distinctions between this set of champions. As an example, Olaf’s KDA ratio ([kills + assists] / deaths) of NaN is more than Jhin’s ratio of NaN, demonstrating that Olaf may be more central to his team's team fighting capacity than Jhin..
Olaf often has a slightly smaller longest killing spree than his counter does. Commonly, he receives more damage than Jhin. This typically indicates differing health capacities, but it can also hint that the one champion has less mobility and thus is unable to kite away from additional damage when engaged or poked.
Both League of Legends champions are great champions. Both champs have their pros and cons. In the game's current meta, Olaf usually loses when taking on Jhin, with a 48.0% win rate. Thus, Olaf makes a poor counter for Jhin.
While Olaf does have a lower winrate than Jhin, when they face off with one another, Olaf also has a lower level of difficulty that makes him a less time consuming character to learn. You should expect to face a difficult match when picking Olaf into Jhin.
Furthermore, Olaf has only a small amount of utility and CC, a similar amount to Jhin. This makes her just as valuable during team fights, especially when fighting champions with a lot of burst damage.
While there isn't a single best champion overall in League of Legends, in Olaf vs Jhin matchups, Jhin is the better champ with a lower win rate, less champion complexity, and a similar amount of utility to help out your team members during teamfights.
Olaf is a trash counter to Jhin. Make sure you focus your gameplay on maximizing your gold income and clearing objectives. If you do that, you should be able to stand on your own as Olaf against Jhin.
To learn all of the intricacies of Olaf to counter Jhin during both the laning and mid / late game phases of League of Legends, you should continue reading to gather a few extra tricks and insights into this matchup. If you pay attention to the build and tips shown here, you will grow your win rate by a lot and be closer to League of Legends pro players.
Olaf on average gets a similar amount of CS compared to Jhin. Champs who on average don't get much CS often don't have to have much CS to be valuable teammates, such as support champions. They are able to scale properly off of their skills, stats, and first items alone. Yet, champs with a lot of CS, such as hyper-carries, usually have to have many items to be effective. In either situation, try to exceed the values reported on this page to do well.
The best items to have in your Olaf versus Jhin build include Experimental Hexplate, Ravenous Hydra, and Trinity Force. When Olaf used at least these three pieces in his build, he performed a lot better countering Jhin than with most other commonly used item sets. In fact, Olaf had an average win rate of 48.0% battling Jhin with this build.
To have the greatest chance of defeating Jhin as Olaf, Olaf players should equip the Conqueror, Triumph, Legend: Alacrity, Last Stand, Approach Velocity, and Biscuit Delivery runes from the Precision and Inspiration rune sets. Out of all the rune builds players picked for Olaf vs Jhin battles, this composite of runes resulted in the best win rate. In fact, these runes averaged a 48.0% win rate overall.
If you need to view Olaf vs Jhin tips and counter builds for a a particular division rank, feel free to select one from the selection menu provided above. At first, the stats and strategies shown are calculated using all matches with data with both champions.