Versuche, dich von Mauern fernzuhalten. Ornn verliert an Stärke, wenn er dich nicht betäuben kann.
Du kannst Ornn an der Herstellung von Gegenständen in der Lane hindern, indem du ihn fortlaufend angreifst.
The stat comparisons shown on this page clarify some valuable Renata Glasc versus Ornn counter statistics that can help you explain the differences and similarities between the pair. As an example, Renata Glasc’s KDA ratio ([kills + assists] / deaths) of NaN is more than Ornn’s ratio of NaN, showing that Renata Glasc may be more central to their team's team fighting capability than Ornn. This observation is in large part fueled by the differences in assists.
Renata Glasc often has a slightly smaller longest kill spree than their foe does. Typically, they receives less damage than Ornn. This is usually reflective of different amounts of tankyness; however, it can also indicate that the champ with higher HP has less mobility and thus is unable to flee from additional damage when poked or engaged.
Both LoL champs are great. Both have their pros and cons. In the game's current meta, Renata Glasc usually loses when facing off against Ornn, with a 48.5% win rate. As a result, Renata Glasc makes a bad counter to Ornn.
While Renata Glasc does have a lower win rate than Ornn, when facing one another, Renata Glasc also has a much greater difficulty level that makes them a more challenging champ to learn. You should be careful when picking Renata Glasc into Ornnas their relative depth means that you may not be able to reach their full potential without a lot of practice beforehand.
Furthermore, Renata Glasc also has some amount of utility and CC, a similar amount to Ornn. This makes her just as valuable during team fights, especially when fighting champions with a ton of burst damage.
While there is not a single best champion in League of Legends, in Renata Glasc vs Ornn matchups, Ornn is the better champion with a lower win rate, more champion depth, and a similar amount of utility to help out your allies during team fights.
Renata Glasc is a somewhat poor counter for Ornn. Focus your play on keeping up your gold income and taking out objectives. If you are able to do that, you should be able to stand on your own as Renata Glasc against Ornn.
If you would like to learn all of the intricacies of Renata Glasc to counter Ornn during both the laning and mid / late game phases of League of Legends, you should keep reading to gather a few extra tips and tricks for this matchup. If you listen to the build and tips shown above, you will grow your win rate by a lot and be that much closer to League of Legends pro players.
Renata Glasc typically accumulates a lot less CS compared to Ornn. Champs who typically don't get many minion kills usualy don't require much CS to be valuable teammates, such as supports. These kinds of champions are able to scale well off of their skills, stats, and first items alone. Yet, champs with large amounts of CS, such as hyper-carries, often require a lot of items to be effective. In either case, try to surpass the values reported here to do well.
The ideal items to have in your Renata Glasc versus Ornn build include Shurelyas Kampfhymne, Thymiaterion, and Traumweber. When Renata Glasc used at least these three pieces in their build, they did much better countering Ornn than with many other typical builds. In fact, Renata Glasc boasted an average win rate of 48.5% when playing against Ornn with this build.
To have the highest probability of crushing Ornn as Renata Glasc, you should equip the Bewahrer, Schildschlag, Knochenpanzerung, Unerschrocken, Erbarmungsloser Jäger, and Zombie-Auge runes from the Entschlossenheit and Dominanz rune sets. Out of all the rune combinations players chose for Renata Glasc vs Ornn clashes, this mix of runes yielded the best win rate. Notably, these runes gave a 48.5% win rate overall.
If you need to see Renata Glasc vs Ornn tips and matchup stats and build suggestions for a a specific rank, please select one from the selection menu above. By default, the statistics and strategies shown are computed using all matches finished with both champs.