Personalised Bans

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TOP BRONZE BANS

zac
#1 : ZAC (3)
Influence: 52
Win Rate: 55.44%
Pick Rate: 9.52%
vi
#2 : VI (1)
Influence: 52
Win Rate: 51.99%
Pick Rate: 25.98%
blitzcrank
#3 : BLITZCRANK (1)
Influence: 47
Win Rate: 52.75%
Pick Rate: 17.24%
malzahar
#4 : MALZAHAR (1)
Influence: 44
Win Rate: 52.11%
Pick Rate: 20.70%

ziggs
#5 : ZIGGS (9)
Influence: 41
Win Rate: 52.58%
Pick Rate: 15.70%
brand
#6 : BRAND (1)
Influence: 37
Win Rate: 53.43%
Pick Rate: 10.70%
shaco
#7 : SHACO (2)
Influence: 37
Win Rate: 54.59%
Pick Rate: 7.96%
zyra
#8 : ZYRA (2)
Influence: 36
Win Rate: 52.09%
Pick Rate: 17.38%

yorick
#9 : YORICK (1)
Influence: 28
Win Rate: 55.99%
Pick Rate: 4.68%
missFortune
#10 : MISS FORTUNE (2)
Influence: 26
Win Rate: 51.28%
Pick Rate: 20.55%
monkeyKing
#11 : WUKONG (9)
Influence: 22
Win Rate: 54.24%
Pick Rate: 5.24%
nasus
#12 : NASUS (3)
Influence: 21
Win Rate: 51.83%
Pick Rate: 11.34%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
zac Zac
51.80 55.44% 9.52% 9.90% 8.58%
vi Vi
51.62 51.99% 25.98% 25.48% 19.36%
blitzcrank Blitzcrank
47.41 52.75% 17.24% 18.91% 13.98%
malzahar Malzahar
43.57 52.11% 20.70% 22.75% 15.99%
ziggs Ziggs
40.52 52.58% 15.70% 17.06% 13.02%
brand Brand
36.63 53.43% 10.70% 2.70% 10.41%
shaco Shaco
36.55 54.59% 7.96% 21.02% 6.29%
zyra Zyra
36.33 52.09% 17.38% 8.65% 15.88%
yorick Yorick
28.01 55.99% 4.68% 0.77% 4.64%
missFortune Miss Fortune
26.20 51.28% 20.55% 1.51% 20.24%
monkeyKing Wukong
22.20 54.24% 5.24% 1.00% 5.19%
nasus Nasus
20.75 51.83% 11.34% 3.28% 10.97%
ivern Ivern
17.72 55.31% 3.34% 6.25% 3.13%
rumble Rumble
14.10 53.46% 4.08% 0.26% 4.07%
ahri Ahri
13.60 50.86% 15.87% 2.58% 15.46%
rammus Rammus
11.93 53.01% 3.97% 0.53% 3.95%
corki Corki
11.71 51.49% 7.88% 1.01% 7.80%
darius Darius
9.95 50.37% 26.72% 38.18% 16.52%
malphite Malphite
9.53 50.94% 10.14% 1.27% 10.01%
graves Graves
9.48 50.79% 12.07% 2.40% 11.78%
tryndamere Tryndamere
9.03 51.62% 5.59% 1.02% 5.53%
swain Swain
8.45 51.44% 5.86% 1.04% 5.80%
sion Sion
8.37 51.05% 7.97% 0.34% 7.94%
jarvanIV Jarvan IV
8.31 51.69% 4.92% 0.33% 4.90%
leona Leona
8.21 50.86% 9.58% 0.95% 9.49%
zilean Zilean
7.53 51.46% 5.17% 0.33% 5.15%
yasuo Yasuo
7.29 50.34% 21.28% 21.27% 16.75%
twitch Twitch
7.27 50.79% 9.17% 4.82% 8.73%
illaoi Illaoi
6.34 51.31% 4.83% 7.05% 4.49%
teemo Teemo
5.19 50.75% 6.97% 1.87% 6.84%
ekko Ekko
4.37 50.40% 11.06% 3.55% 10.67%
kogMaw Kog'Maw
3.70 52.59% 1.43% 0.07% 1.43%
sejuani Sejuani
3.46 51.13% 3.05% 0.15% 3.05%
galio Galio
3.17 52.25% 1.41% 0.17% 1.41%
sona Sona
3.05 50.32% 9.69% 0.29% 9.66%
kled Kled
1.85 50.69% 2.71% 0.40% 2.70%
singed Singed
1.71 50.18% 9.36% 7.38% 8.67%
anivia Anivia
1.15 50.23% 5.01% 0.98% 4.96%
udyr Udyr
0.79 50.79% 1.00% 0.10% 1.00%
gragas Gragas
0.10 50.06% 1.63% 0.09% 1.63%
taric Taric
-0.11 49.97% 3.10% 0.13% 3.10%
mordekaiser Mordekaiser
-0.48 49.54% 1.03% 0.15% 1.03%
aurelionSol Aurelionsol
-1.20 48.83% 1.02% 0.20% 1.02%
garen Garen
-1.30 49.86% 9.31% 1.29% 9.19%
skarner Skarner
-1.96 48.73% 1.54% 0.08% 1.54%
janna Janna
-2.36 49.73% 8.81% 0.18% 8.79%
volibear Volibear
-2.37 49.03% 2.44% 0.09% 2.44%
drMundo Dr. Mundo
-2.62 49.01% 2.65% 0.11% 2.65%
diana Diana
-3.36 48.92% 3.11% 0.20% 3.10%
zed Zed
-3.71 49.38% 6.01% 5.18% 5.70%
fiora Fiora
-4.00 49.50% 8.04% 1.61% 7.91%
viktor Viktor
-4.15 49.50% 8.35% 1.89% 8.19%
fiddlesticks Fiddlesticks
-4.45 47.70% 1.94% 0.06% 1.94%
annie Annie
-4.76 49.53% 10.03% 2.18% 9.81%
xerath Xerath
-5.07 48.70% 3.89% 0.34% 3.88%
gangplank Gangplank
-5.56 48.79% 4.60% 0.41% 4.58%
jhin Jhin
-5.71 49.77% 24.28% 2.83% 23.59%
tristana Tristana
-5.90 48.80% 4.90% 0.06% 4.90%
aatrox Aatrox
-6.02 43.90% 0.99% 0.22% 0.99%
xinZhao Xin Zhao
-6.08 49.24% 8.01% 0.49% 7.97%
jinx Jinx
-6.10 49.65% 17.32% 0.62% 17.21%
shen Shen
-6.26 47.99% 3.11% 0.15% 3.11%
taliyah Taliyah
-6.42 47.67% 2.76% 0.23% 2.75%
nunu Nunu
-6.95 41.40% 0.81% 0.12% 0.81%
masterYi Master Yi
-7.56 49.29% 10.61% 2.77% 10.32%
braum Braum
-7.60 48.24% 4.33% 0.12% 4.32%
lissandra Lissandra
-8.58 46.05% 2.17% 0.09% 2.17%
urgot Urgot
-9.82 31.59% 0.54% 1.10% 0.53%
akali Akali
-9.94 46.65% 2.97% 0.54% 2.95%
kindred Kindred
-10.14 42.72% 1.39% 0.14% 1.39%
quinn Quinn
-10.29 46.02% 2.58% 0.44% 2.57%
heimerdinger Heimerdinger
-10.73 45.45% 2.36% 0.33% 2.35%
tahmKench Tahm Kench
-10.90 47.57% 4.48% 0.46% 4.46%
bard Bard
-10.98 45.92% 2.69% 0.05% 2.69%
nami Nami
-11.36 49.04% 11.76% 0.12% 11.75%
olaf Olaf
-11.54 46.23% 3.06% 0.70% 3.04%
karthus Karthus
-11.99 45.75% 2.82% 0.48% 2.81%
draven Draven
-12.52 47.98% 6.20% 1.08% 6.13%
kassadin Kassadin
-12.66 42.71% 1.74% 0.16% 1.74%
twistedFate Twisted Fate
-12.70 48.12% 6.77% 0.75% 6.72%
shyvana Shyvana
-12.97 48.14% 6.95% 4.67% 6.63%
vladimir Vladimir
-13.08 43.68% 2.07% 0.17% 2.07%
nautilus Nautilus
-13.60 49.14% 15.73% 1.40% 15.51%
chogath Cho'Gath
-13.64 44.44% 2.45% 0.11% 2.45%
amumu Amumu
-13.88 47.65% 5.91% 0.60% 5.87%
kalista Kalista
-15.79 44.50% 2.87% 0.12% 2.87%
gnar Gnar
-15.92 41.35% 1.84% 0.11% 1.84%
trundle Trundle
-16.80 45.43% 3.68% 0.20% 3.67%
renekton Renekton
-16.92 47.37% 6.44% 0.80% 6.39%
talon Talon
-17.52 45.32% 3.75% 0.81% 3.72%
nidalee Nidalee
-18.57 34.80% 1.22% 0.11% 1.22%
warwick Warwick
-19.52 40.76% 2.11% 0.19% 2.11%
kayle Kayle
-19.52 44.81% 3.76% 0.77% 3.73%
veigar Veigar
-20.98 47.10% 7.24% 0.94% 7.17%
lux Lux
-21.40 48.04% 10.92% 0.46% 10.87%
azir Azir
-21.94 35.74% 1.54% 0.19% 1.54%
hecarim Hecarim
-22.52 48.62% 16.32% 17.83% 13.41%
rekSai Rek'Sai
-22.73 43.71% 3.62% 0.16% 3.61%
kennen Kennen
-22.81 43.92% 3.76% 1.51% 3.70%
rengar Rengar
-23.10 47.74% 10.22% 24.88% 7.68%
ashe Ashe
-23.95 48.63% 17.48% 0.31% 17.43%
varus Varus
-24.33 47.47% 9.62% 0.48% 9.57%
syndra Syndra
-25.23 46.24% 6.71% 6.98% 6.24%
nocturne Nocturne
-25.28 45.76% 5.97% 1.27% 5.89%
jax Jax
-27.38 46.38% 7.57% 0.49% 7.53%
cassiopeia Cassiopeia
-27.89 42.27% 3.61% 0.87% 3.58%
riven Riven
-28.05 47.22% 10.09% 1.36% 9.95%
velkoz Velkoz
-28.54 47.33% 10.70% 1.15% 10.58%
alistar Alistar
-29.17 46.49% 8.32% 1.16% 8.22%
irelia Irelia
-29.79 43.98% 4.94% 1.29% 4.88%
maokai Maokai
-29.83 46.32% 8.10% 0.49% 8.06%
sivir Sivir
-29.91 45.82% 7.14% 0.19% 7.13%
caitlyn Caitlyn
-30.19 48.85% 26.19% 3.18% 25.36%
fizz Fizz
-31.35 45.87% 7.60% 4.20% 7.28%
lulu Lulu
-32.34 41.07% 3.62% 0.08% 3.62%
khazix Khazix
-32.71 47.65% 13.92% 9.00% 12.67%
thresh Thresh
-32.76 48.02% 16.57% 0.66% 16.46%
lucian Lucian
-33.91 46.02% 8.51% 0.09% 8.50%
jayce Jayce
-35.57 46.91% 11.52% 7.70% 10.63%
pantheon Pantheon
-36.59 44.16% 6.26% 1.64% 6.16%
morgana Morgana
-36.83 47.85% 17.15% 1.68% 16.86%
poppy Poppy
-38.84 46.41% 10.83% 2.30% 10.58%
elise Elise
-42.44 43.51% 6.54% 1.29% 6.46%
katarina Katarina
-45.28 47.24% 16.39% 49.41% 8.29%
orianna Orianna
-49.65 44.57% 9.13% 0.46% 9.09%
evelynn Evelynn
-51.42 43.06% 7.41% 18.91% 6.01%
soraka Soraka
-58.32 44.41% 10.44% 1.45% 10.29%
camille Camille
-70.87 43.52% 10.93% 56.44% 4.76%
karma Karma
-77.11 41.89% 9.50% 0.31% 9.47%
ryze Ryze
-80.71 41.74% 9.77% 5.26% 9.26%
vayne Vayne
-100.14 44.65% 18.70% 12.75% 16.32%
leblanc Leblanc
-128.04 41.55% 15.14% 60.24% 6.02%
ezreal Ezreal
-131.35 45.19% 27.29% 1.25% 26.95%
leeSin Lee Sin
-205.75 43.42% 31.29% 23.84% 23.83%

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.

For the time being this section isn't going to be updated. Hopefully we can get back to you with writeups in the near future.

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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