Personalised Bans

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TOP DIAMOND BANS

ivern
#1 : IVERN
Influence: -3
Win Rate: 26.44%
Pick Rate: 0.14%
rekSai
#2 : REK'SAI
Influence: -3
Win Rate: 28.84%
Pick Rate: 0.16%
aurelionSol
#3 : AURELIONSOL
Influence: -7
Win Rate: 24.95%
Pick Rate: 0.27%
mordekaiser
#4 : MORDEKAISER
Influence: -7
Win Rate: 21.66%
Pick Rate: 0.25%

corki
#5 : CORKI
Influence: -9
Win Rate: 23.65%
Pick Rate: 0.36%
kalista
#6 : KALISTA
Influence: -10
Win Rate: 18.28%
Pick Rate: 0.31%
skarner
#7 : SKARNER
Influence: -10
Win Rate: 26.13%
Pick Rate: 0.43%
elise
#8 : ELISE
Influence: -11
Win Rate: 25.59%
Pick Rate: 0.44%

azir
#9 : AZIR
Influence: -11
Win Rate: 21.33%
Pick Rate: 0.38%
kogMaw
#10 : KOG'MAW
Influence: -11
Win Rate: 22.55%
Pick Rate: 0.41%
singed
#11 : SINGED
Influence: -12
Win Rate: 24.73%
Pick Rate: 0.46%
shyvana
#12 : SHYVANA
Influence: -12
Win Rate: 26.64%
Pick Rate: 0.51%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
ivern Ivern
-3.18 26.44% 0.14% 0.06% 0.14%
rekSai Rek'Sai
-3.28 28.84% 0.16% 0.02% 0.16%
aurelionSol Aurelionsol
-6.65 24.95% 0.27% 0.17% 0.27%
mordekaiser Mordekaiser
-7.16 21.66% 0.25% 0.06% 0.25%
corki Corki
-9.43 23.65% 0.36% 0.08% 0.36%
kalista Kalista
-9.91 18.28% 0.31% 0.03% 0.31%
skarner Skarner
-10.21 26.13% 0.43% 0.10% 0.43%
elise Elise
-10.63 25.59% 0.44% 0.09% 0.44%
azir Azir
-10.76 21.33% 0.38% 0.12% 0.38%
kogMaw Kog'Maw
-11.26 22.55% 0.41% 0.04% 0.41%
singed Singed
-11.64 24.73% 0.46% 0.10% 0.46%
shyvana Shyvana
-11.87 26.64% 0.51% 0.10% 0.51%
karthus Karthus
-13.30 29.79% 0.66% 0.13% 0.66%
taliyah Taliyah
-13.87 27.50% 0.62% 0.23% 0.62%
cassiopeia Cassiopeia
-14.23 28.40% 0.66% 0.17% 0.66%
yorick Yorick
-14.31 26.22% 0.60% 0.27% 0.60%
kayle Kayle
-14.34 21.91% 0.51% 0.08% 0.51%
sejuani Sejuani
-14.73 19.50% 0.48% 0.08% 0.48%
maokai Maokai
-14.95 26.37% 0.63% 0.06% 0.63%
rumble Rumble
-15.02 21.40% 0.53% 0.06% 0.53%
viktor Viktor
-15.14 26.63% 0.65% 0.05% 0.65%
quinn Quinn
-15.25 30.47% 0.78% 0.40% 0.78%
jayce Jayce
-15.82 28.00% 0.72% 0.22% 0.72%
heimerdinger Heimerdinger
-16.47 29.48% 0.80% 0.32% 0.80%
kled Kled
-16.67 28.02% 0.76% 0.43% 0.76%
lissandra Lissandra
-16.92 25.15% 0.68% 0.11% 0.68%
volibear Volibear
-18.03 22.50% 0.66% 0.11% 0.66%
illaoi Illaoi
-18.42 28.08% 0.85% 1.80% 0.83%
ziggs Ziggs
-19.04 25.45% 0.78% 0.05% 0.78%
galio Galio
-19.55 23.26% 0.73% 0.11% 0.73%
anivia Anivia
-19.64 26.05% 0.82% 0.29% 0.82%
zac Zac
-19.66 22.94% 0.73% 0.23% 0.73%
kennen Kennen
-19.75 24.82% 0.78% 0.22% 0.78%
twistedFate Twisted Fate
-20.29 27.96% 0.92% 0.06% 0.92%
nidalee Nidalee
-20.42 25.64% 0.84% 0.09% 0.84%
drMundo Dr. Mundo
-20.55 26.86% 0.89% 0.88% 0.88%
gnar Gnar
-20.65 26.62% 0.88% 0.37% 0.88%
tahmKench Tahm Kench
-20.79 24.15% 0.80% 0.22% 0.80%
fiddlesticks Fiddlesticks
-21.03 26.21% 0.88% 0.47% 0.88%
trundle Trundle
-21.61 23.29% 0.81% 0.19% 0.81%
taric Taric
-22.18 22.22% 0.80% 0.11% 0.80%
kindred Kindred
-22.28 26.69% 0.96% 0.58% 0.95%
xerath Xerath
-22.58 24.23% 0.88% 0.11% 0.88%
sivir Sivir
-22.82 24.45% 0.89% 0.05% 0.89%
nautilus Nautilus
-23.28 21.97% 0.83% 0.07% 0.83%
nunu Nunu
-23.39 23.58% 0.89% 0.87% 0.88%
swain Swain
-23.40 24.11% 0.90% 0.40% 0.90%
zilean Zilean
-24.61 24.89% 0.98% 0.25% 0.98%
bard Bard
-24.80 21.68% 0.88% 0.10% 0.88%
rammus Rammus
-25.18 27.38% 1.11% 0.94% 1.10%
amumu Amumu
-25.36 21.55% 0.89% 0.15% 0.89%
syndra Syndra
-26.03 23.00% 0.96% 0.17% 0.96%
aatrox Aatrox
-26.63 26.13% 1.12% 2.72% 1.09%
annie Annie
-26.76 24.13% 1.03% 0.44% 1.03%
olaf Olaf
-27.20 24.15% 1.05% 0.19% 1.05%
shen Shen
-28.15 25.00% 1.13% 0.08% 1.13%
karma Karma
-29.54 25.96% 1.23% 0.10% 1.23%
shaco Shaco
-30.58 26.87% 1.32% 0.91% 1.31%
diana Diana
-30.80 25.10% 1.24% 0.97% 1.23%
monkeyKing Wukong
-30.90 28.50% 1.44% 0.51% 1.43%
xinZhao Xin Zhao
-31.02 25.54% 1.27% 0.43% 1.26%
vi Vi
-31.49 26.63% 1.35% 0.15% 1.35%
ashe Ashe
-31.80 25.22% 1.28% 0.09% 1.28%
poppy Poppy
-32.45 26.08% 1.36% 0.50% 1.35%
udyr Udyr
-32.60 23.72% 1.24% 0.63% 1.23%
ryze Ryze
-32.94 20.02% 1.10% 0.12% 1.10%
malzahar Malzahar
-33.11 25.66% 1.36% 1.31% 1.34%
hecarim Hecarim
-33.31 26.06% 1.40% 0.44% 1.39%
sona Sona
-34.81 27.89% 1.57% 0.11% 1.57%
vladimir Vladimir
-35.01 26.18% 1.47% 2.22% 1.44%
jarvanIV Jarvan IV
-35.51 23.39% 1.33% 0.16% 1.33%
evelynn Evelynn
-36.16 26.90% 1.57% 3.68% 1.51%
orianna Orianna
-36.67 25.30% 1.48% 0.16% 1.48%
pantheon Pantheon
-36.77 24.86% 1.47% 1.18% 1.45%
nocturne Nocturne
-37.17 27.63% 1.66% 1.28% 1.64%
talon Talon
-37.42 25.11% 1.50% 1.37% 1.48%
zyra Zyra
-37.49 24.79% 1.49% 0.79% 1.48%
fiora Fiora
-38.27 25.16% 1.54% 1.82% 1.51%
gangplank Gangplank
-38.77 22.59% 1.41% 0.30% 1.41%
rakan Rakan
-39.13 25.41% 1.60% 0.40% 1.59%
warwick Warwick
-39.13 25.49% 1.59% 1.50% 1.57%
chogath Cho'Gath
-39.26 22.29% 1.42% 0.81% 1.41%
gragas Gragas
-40.08 25.04% 1.60% 0.20% 1.60%
janna Janna
-41.01 27.24% 1.80% 0.22% 1.80%
kassadin Kassadin
-41.84 23.41% 1.58% 1.66% 1.55%
sion Sion
-43.37 27.16% 1.90% 0.47% 1.89%
camille Camille
-43.70 24.32% 1.70% 1.27% 1.68%
xayah Xayah
-44.19 24.46% 1.73% 0.42% 1.72%
teemo Teemo
-44.21 24.87% 1.76% 1.64% 1.73%
renekton Renekton
-44.61 25.60% 1.83% 0.86% 1.81%
riven Riven
-46.12 26.58% 1.97% 0.48% 1.96%
nasus Nasus
-46.22 25.84% 1.91% 1.59% 1.88%
tryndamere Tryndamere
-46.70 24.42% 1.82% 1.83% 1.79%
velkoz Velkoz
-46.94 24.37% 1.83% 0.20% 1.83%
katarina Katarina
-47.19 27.39% 2.09% 2.75% 2.03%
twitch Twitch
-47.73 26.93% 2.07% 0.41% 2.06%
alistar Alistar
-49.38 25.40% 2.01% 0.85% 1.99%
urgot Urgot
-50.19 25.07% 2.01% 1.53% 1.98%
veigar Veigar
-50.35 25.34% 2.04% 0.59% 2.03%
fizz Fizz
-50.42 25.89% 2.09% 5.19% 1.98%
ekko Ekko
-50.73 25.95% 2.11% 1.28% 2.08%
malphite Malphite
-51.50 25.47% 2.10% 0.55% 2.09%
rengar Rengar
-54.10 26.86% 2.34% 1.73% 2.30%
varus Varus
-54.80 23.94% 2.10% 0.14% 2.10%
soraka Soraka
-56.68 24.60% 2.24% 0.72% 2.22%
leblanc Leblanc
-57.57 25.70% 2.37% 3.66% 2.28%
blitzcrank Blitzcrank
-62.16 23.10% 2.31% 4.80% 2.20%
khazix Khazix
-62.16 26.71% 2.67% 1.56% 2.63%
ahri Ahri
-66.09 28.65% 3.09% 1.45% 3.05%
akali Akali
-66.71 24.98% 2.67% 13.93% 2.30%
braum Braum
-67.48 24.26% 2.62% 2.08% 2.57%
leona Leona
-71.03 27.59% 3.17% 3.07% 3.07%
darius Darius
-72.35 26.98% 3.15% 12.58% 2.75%
lulu Lulu
-73.54 22.20% 2.65% 1.54% 2.61%
caitlyn Caitlyn
-74.24 25.44% 3.02% 1.00% 2.99%
draven Draven
-74.88 26.63% 3.21% 12.07% 2.82%
brand Brand
-75.28 25.31% 3.05% 4.82% 2.90%
ezreal Ezreal
-76.42 21.98% 2.73% 0.37% 2.72%
garen Garen
-77.14 27.76% 3.47% 5.43% 3.28%
graves Graves
-80.44 26.02% 3.36% 3.19% 3.25%
tristana Tristana
-80.51 25.54% 3.29% 0.44% 3.28%
masterYi Master Yi
-88.01 25.39% 3.58% 7.02% 3.33%
morgana Morgana
-89.17 26.34% 3.77% 6.98% 3.51%
nami Nami
-91.16 27.33% 4.03% 0.67% 4.00%
jinx Jinx
-93.56 26.05% 3.91% 0.49% 3.89%
irelia Irelia
-105.56 24.09% 4.07% 8.19% 3.74%
missFortune Miss Fortune
-111.19 26.22% 4.67% 2.03% 4.58%
zed Zed
-113.76 24.71% 4.50% 14.97% 3.83%
lux Lux
-121.30 26.22% 5.10% 0.88% 5.06%
thresh Thresh
-127.30 25.85% 5.28% 1.46% 5.20%
vayne Vayne
-130.13 24.70% 5.14% 2.39% 5.02%
leeSin Lee Sin
-131.82 25.84% 5.46% 2.70% 5.31%
lucian Lucian
-133.04 26.10% 5.57% 1.78% 5.47%
jax Jax
-144.17 27.41% 6.38% 9.30% 5.79%
jhin Jhin
-148.13 26.18% 6.22% 3.00% 6.03%
yasuo Yasuo
-182.83 24.33% 7.13% 13.41% 6.17%

Pick rate accounts for games where the champion could not be picked due to being banned.

This list is primarily about consistency, not power. Strong champions can be inconsistent.

The less you know about your team, the more useful this information is.

The way people choose bans is based heavily in frustration, popular opinion, and potential power. But these often lead to inaccurate choices to maximize the chances of winning. Instead, Best Bans calculates the win consistency of every champion for every tier using nothing but winrate, pickrate, and banrate (which partially adjusts pickrate), nothing else.

Best Bans calculates win consistency, which matters more than a champion's strength or frustration when banning; a champion's strength does not matter if they are not picked enough or most players cannot succesfully use that power, and frustrating champions often have low winrates and pickrates.

Take note that you should always tell your teammates what you intend to ban, or you deny your team the chance of using the consistent champions, creating a net-zero benefit.

Because these lists are based on averages, these ban recommendations are most useful when you know nearly nothing about either team, when there is an information vacuum. The more knowledge you have of your own picks, your team composition, and the enemy composition, the less useful these recommendations are.

The simplest answer is that they simply don't win enough or aren't picked enough. You can search the tables at the bottom of each page to find the champion you're interested in; you may be surprised how often they actually win on average.

More then that, take note that winrate reflects consistency, not potential strength. Even if a low-winrate champion can theoretically win 100% of the time with perfect play, it doesn't change that on average, you will win against them, increasing your total LP gains. Many of the most frustrating champions have surprisingly low win consistency.

These bans are recommended even if your teammates may get annoyed by not banning a champion. Let's assume that your teammates get ticked off every time X Champ is picked by the enemies. Even with this annoyance buff that X champ always receives from not being banned, it doesn't change that the champion has a lower consistency than other choices. Unless your teammate intends to be fully toxic, your best chance of success is still to ban X champ.

It is meaningless to ban out particular champions to stop your own team from playing them. You deny the enemy team the chance of picking that champion which statistically will be in your favor. This also means that banning from your team is a net-zero benefit from the ban; it's literally meaningless and only frustrates teammates. Additionally, you have the ability to look up your own teammates and see if their history on the champion defies the average.

Pickrate and winrate data is gathered from op.gg

For specific regions, pickrate data is gathered from Lolking for further accuracy.

The exact formulas to calculate win consistency (influence) can be found in the headers of the table.

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