Tourment ténébreux est un excellent outil pour farmer si vous êtes seul sur une voie.
Bien utiliser Bouclier noir peut souvent décider de l'issue des combats d'équipes.
Les objets qui améliorent les capacités de survie, associés à Bouclier noir et à Chaînes spirituelles, font de Morgana un champion très difficile à tuer.
The stat comparisons shown on this page highlight some valuable Morgana against Briar counter statistics that can help us explain the differences between the pair. For instance, Morgana’s KDA ratio ([kills + assists] / deaths) of NaN is better than Briar’s KDA ratio of NaN, showing that Morgana may be more central to her team's team fighting capability than Briar. This observation is in large part fueled by the differences in assists.
Morgana normally has a significantly smaller longest kill spree than her matchup does. Commonly, she receives less damage than Briar. This typically indicates differing health capacities, but it can also hint that the one champion has less agility and thus is not able to escape further harm when poked or engaged.
Both League champs are great champions. Both champs have their pros and cons. In the game's current meta, Morgana usually fairs equally well when taking on Briar, with a 49.1% win rate. Thus, Morgana makes an ok counter to Briar.
While Morgana does have a lower winrate compared to Briar, when on opposite teams, Morgana also has a lower level of difficulty that makes her a less complex character to learn and master. You still need to be cautious when picking Morgana into Briar.
Furthermore, Morgana has a great deal of utility and CC, a similar amount to Briar. This often makes her just as valuable during team fights, especially when facing champions with a lot of burst damage.
While there isn't a single best champion in League of Legends, in Morgana vs Briar matchups, Briar is the better champion with a similar win rate, less champion complexity, and a similar amount of utility to help out your teammates during late stage team fights.
Morgana is a somewhat poor counter for Briar. Focus your play on maximizing your gold income and clearing objectives. If you can do that, you should do very well as Morgana against Briar.
To truly master Morgana in order to counter Briar during both the early game and mid / late game phases of League of Legends, you should keep reading to gather a few extra tricks and insights into this matchup. If you pay attention to the build and stats shown here, you should increase your win rate significantly and be that much closer to League of Legends pro players.
Morgana often accumulates a similar amount of CS compared to Briar. Champions who on average don't take many minion kills usualy don't have to have much CS to be valuable teammates, such as sup champs. They are capable of scaling well off of their skills, stats, and first items alone. Yet, champions with large amounts of CS, such as hyper-carries, often have to have several high cost items to be effective. In either case, try to exceed the numbers displayed here to do well.
The most important items to have in your Morgana versus Briar build include Coiffe de Rabadon, Pique dimensionnelle de Zaz'Zak, and Tourment de Liandry. When Morgana bought at least these three pieces in her build, she performed significantly better when fighting Briar than with most other typical builds. In fact, Morgana boasted an average win rate of 49.1% when playing against Briar with this build.
To have the greatest chance of defeating Briar as Morgana, you should use the Optimisation glaciale, Triple tonique, Livraison de biscuits, Savoir cosmique, Ruban de mana, and Transcendance runes from the Inspiration and Sorcellerie rune sets. Out of all the rune builds that we analyzed for Morgana vs Briar counterpicks, this combination of runes resulted in the best win rate. In fact, these runes provided a 49.1% win rate overall.
If you want to see Morgana x Briar tips and builds for a a distinct division, please choose one from the selection menu displayed above. By default, the statistics and build suggestions given are calculated using every match with data with both champs.