Bleibe hinter verbündeten Vasallen, wenn Caitlyn auf „Piltover-Friedensstifter“ setzt, da Folgetreffer immer weniger Schaden verursachen.
Du kannst das Projektil von „Ass im Ärmel“ für einen Verbündeten abfangen, indem du dich einfach selbst in die Schussbahn wirfst.
The stat comparisons provided here show several valuable Seraphine against Caitlyn counter stats that may help you realize the distinctions between this set of champions. As an example, Seraphine’s KDA ratio ([kills + assists] / deaths) of NaN is more than Caitlyn’s KDA ratio of NaN, showing that Seraphine may be more central to her team's team fighting capacity than Caitlyn. This observation is largely fueled by the differences in assists.
Seraphine typically has a slightly smaller longest killing spree than her opponent does. On average, she receives a similar amount of damage to Caitlyn. This often reflects differing health capacities; however, it can also show that the one champion has less mobility and thus is not able to kite away from further harm when poked or engaged.
Both League champions are great. Both champs have their strengths, weaknesses, and counters. In the game's current meta, Seraphine usually wins when taking on Caitlyn, with a 51.0% win rate. Thus, Seraphine makes a good counter to Caitlyn.
While Seraphine does have a higher winrate compared to Caitlyn, when they face off with one another, Seraphine also has a much lower level of difficulty that makes her a less time consuming champ to learn. You still need to be cautious when picking Seraphine into Caitlyn.
Moreover, Seraphine also has a great deal of CC and other utility, a similar amount to Caitlyn. This often makes her just as valuable during team fights, especially when trying to counter champions with a lot of burst damage.
While there isn't a single best champion overall in League of Legends, in Seraphine vs Caitlyn matchups, Seraphine is the better champ with a similar win rate, less champion complexity, and a similar amount of utility to help out your teammates during teamfights.
Seraphine is a decent counter to Caitlyn. Make sure you focus your gameplay on increasing your gold income and destroying objectives. If you can do that, you should do very well as Seraphine against Caitlyn.
If you would like to truly master Seraphine to counter Caitlyn during both the early game 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 stats displayed here, you will increase your win rate by a lot and be closer to League of Legends pro players.
Seraphine usually accumulates less CS as Caitlyn. Champs who on average don't get much CS usualy don't have to have much CS to be effective, such as supports. These kinds of champions are capable of scaling well off of their skills, stats, and first items alone. Yet, champions with a lot of CS, such as hyper-carries, typically need many items to be effective. In either situation, try to surpass the values reported here to do well.
The top items to have in your Seraphine versus Caitlyn build include Umarmung des Seraphen, Blutgesang, and Mondstein-Erneuerer. When Seraphine included at least these three pieces in her build, she performed significantly better when fighting Caitlyn than with many other typical item sets. In fact, Seraphine boasted an average win rate of 51.0% when playing against Caitlyn with this build.
To have the highest likelihood of annihilating Caitlyn as Seraphine, you should equip the Benefee-Beschwörung, Manafluss, Überlegenheit, Aufziehender Sturm, Kekslieferung, and Kosmische Einsicht runes from the Zauberei and Inspiration rune sets. Of all the rune combinations players chose for Seraphine vs Caitlyn clashes, this order of runes resulted in the greatest win rate. In fact, these runes gave a 51.0% winrate overall.
If you would like to get Seraphine vs Caitlyn tips and counter stats for a an individual rank, please select one from the selection menu shown above. By default, the statistics and guides displayed are calculated using all games with data with both champions.