Personalised Bans

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TOP BRONZE BANS

chogath
#1 : CHO'GATH (1)
Influence: 141
Win Rate: 53.69%
Pick Rate: 38.19%
blitzcrank
#2 : BLITZCRANK (1)
Influence: 104
Win Rate: 53.74%
Pick Rate: 27.72%
garen
#3 : GAREN (1)
Influence: 103
Win Rate: 56.98%
Pick Rate: 14.75%
malzahar
#4 : MALZAHAR (2)
Influence: 102
Win Rate: 55.17%
Pick Rate: 19.73%

jarvanIV
#5 : JARVAN IV (2)
Influence: 79
Win Rate: 56.52%
Pick Rate: 12.13%
anivia
#6 : ANIVIA (3)
Influence: 77
Win Rate: 57.70%
Pick Rate: 9.99%
brand
#7 : BRAND (2)
Influence: 69
Win Rate: 55.68%
Pick Rate: 12.11%
missFortune
#8 : MISS FORTUNE (3)
Influence: 53
Win Rate: 52.24%
Pick Rate: 23.90%

alistar
#9 : ALISTAR (2)
Influence: 52
Win Rate: 54.84%
Pick Rate: 10.73%
renekton
#10 : RENEKTON (2)
Influence: 48
Win Rate: 54.49%
Pick Rate: 10.65%
bard
#11 : BARD (3)
Influence: 47
Win Rate: 59.84%
Pick Rate: 4.73%
yorick
#12 : YORICK (1)
Influence: 36
Win Rate: 57.04%
Pick Rate: 5.18%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
chogath Cho'Gath
140.86 53.69% 38.19% 51.22% 18.63%
blitzcrank Blitzcrank
103.68 53.74% 27.72% 61.25% 10.74%
garen Garen
102.93 56.98% 14.75% 7.74% 13.61%
malzahar Malzahar
102.02 55.17% 19.73% 43.40% 11.17%
jarvanIV Jarvan IV
79.04 56.52% 12.13% 4.60% 11.57%
anivia Anivia
76.95 57.70% 9.99% 18.42% 8.15%
brand Brand
68.79 55.68% 12.11% 5.79% 11.41%
missFortune Miss Fortune
53.48 52.24% 23.90% 8.37% 21.90%
alistar Alistar
51.94 54.84% 10.73% 3.41% 10.36%
renekton Renekton
47.85 54.49% 10.65% 6.86% 9.92%
bard Bard
46.55 59.84% 4.73% 0.22% 4.72%
yorick Yorick
36.44 57.04% 5.18% 3.06% 5.02%
sona Sona
36.13 52.61% 13.86% 1.88% 13.60%
irelia Irelia
33.17 56.67% 4.98% 2.77% 4.84%
ahri Ahri
32.82 52.02% 16.25% 9.06% 14.78%
gangplank Gangplank
30.42 58.56% 3.55% 0.64% 3.53%
fizz Fizz
30.06 53.29% 9.16% 20.50% 7.28%
jayce Jayce
29.54 55.15% 5.73% 1.97% 5.62%
karthus Karthus
28.50 57.57% 3.76% 1.17% 3.72%
annie Annie
22.51 53.28% 6.87% 2.30% 6.71%
darius Darius
22.46 51.43% 15.71% 24.82% 11.81%
vi Vi
22.20 53.97% 5.59% 2.87% 5.43%
ashe Ashe
21.41 51.23% 17.37% 0.83% 17.23%
xinZhao Xin Zhao
20.97 53.10% 6.76% 2.52% 6.59%
diana Diana
20.89 53.48% 6.01% 3.21% 5.82%
shyvana Shyvana
17.79 54.34% 4.10% 1.06% 4.06%
tryndamere Tryndamere
16.01 52.64% 6.07% 5.63% 5.73%
aurelionSol Aurelionsol
15.65 65.87% 0.99% 0.58% 0.98%
jhin Jhin
15.61 50.44% 35.29% 6.99% 32.82%
veigar Veigar
14.06 52.31% 6.09% 1.33% 6.01%
yasuo Yasuo
13.55 50.81% 16.68% 23.76% 12.72%
rakan Rakan
13.17 52.27% 5.79% 1.62% 5.70%
warwick Warwick
12.04 50.96% 12.57% 6.12% 11.80%
hecarim Hecarim
10.79 53.47% 3.11% 0.69% 3.09%
masterYi Master Yi
10.45 50.61% 17.20% 32.11% 11.68%
nami Nami
10.30 50.94% 11.02% 0.41% 10.97%
fiddlesticks Fiddlesticks
9.95 54.44% 2.24% 0.20% 2.24%
akali Akali
9.54 52.43% 3.94% 2.49% 3.84%
ekko Ekko
8.51 50.88% 9.67% 6.70% 9.02%
soraka Soraka
7.69 50.85% 9.01% 1.80% 8.85%
nautilus Nautilus
7.23 51.37% 5.28% 0.56% 5.25%
corki Corki
6.61 51.01% 6.55% 1.08% 6.48%
heimerdinger Heimerdinger
5.35 51.43% 3.72% 2.50% 3.63%
drMundo Dr. Mundo
5.30 52.04% 2.60% 0.24% 2.59%
monkeyKing Wukong
4.18 51.07% 3.92% 0.94% 3.88%
swain Swain
2.71 50.46% 5.89% 2.70% 5.73%
tristana Tristana
2.70 50.19% 14.22% 0.93% 14.09%
urgot Urgot
2.69 53.74% 0.72% 3.39% 0.70%
volibear Volibear
2.66 52.10% 1.27% 0.05% 1.27%
talon Talon
2.39 50.44% 5.39% 5.38% 5.10%
gnar Gnar
1.47 50.37% 4.01% 0.73% 3.98%
quinn Quinn
0.98 50.51% 1.90% 0.83% 1.88%
illaoi Illaoi
0.95 50.27% 3.44% 6.61% 3.21%
malphite Malphite
0.49 50.07% 7.32% 1.79% 7.19%
skarner Skarner
-0.59 49.52% 1.23% 0.27% 1.23%
fiora Fiora
-1.15 49.81% 6.13% 14.68% 5.23%
azir Azir
-1.17 49.05% 1.23% 0.45% 1.22%
ivern Ivern
-2.47 48.29% 1.44% 5.10% 1.37%
jinx Jinx
-3.21 49.74% 12.46% 0.83% 12.36%
evelynn Evelynn
-3.68 49.18% 4.46% 11.57% 3.94%
kennen Kennen
-4.32 48.54% 2.96% 2.48% 2.89%
kindred Kindred
-4.69 47.83% 2.15% 0.57% 2.14%
udyr Udyr
-4.74 44.55% 0.87% 0.22% 0.87%
zac Zac
-5.12 49.67% 15.29% 60.36% 6.06%
draven Draven
-5.83 49.15% 6.86% 6.28% 6.43%
xerath Xerath
-6.89 47.22% 2.47% 0.38% 2.46%
zyra Zyra
-6.89 49.22% 8.86% 5.39% 8.38%
kayle Kayle
-7.04 48.30% 4.15% 2.38% 4.05%
viktor Viktor
-8.30 47.72% 3.64% 0.47% 3.62%
lissandra Lissandra
-8.41 44.38% 1.49% 0.17% 1.49%
taric Taric
-8.80 48.71% 6.80% 1.37% 6.71%
kalista Kalista
-9.50 47.51% 3.81% 0.81% 3.78%
poppy Poppy
-9.83 47.77% 4.41% 0.18% 4.40%
zilean Zilean
-11.35 47.42% 4.40% 0.62% 4.37%
velkoz Velkoz
-11.37 48.43% 7.26% 2.06% 7.11%
aatrox Aatrox
-12.65 42.51% 1.69% 0.59% 1.68%
nasus Nasus
-13.05 48.21% 7.28% 2.30% 7.11%
teemo Teemo
-13.73 47.68% 5.92% 4.06% 5.68%
mordekaiser Mordekaiser
-14.01 43.84% 2.27% 0.42% 2.26%
maokai Maokai
-14.53 48.42% 9.20% 1.04% 9.10%
taliyah Taliyah
-14.72 47.13% 5.12% 1.44% 5.05%
vladimir Vladimir
-15.17 48.42% 9.63% 11.45% 8.53%
rumble Rumble
-15.97 46.42% 4.46% 0.71% 4.43%
tahmKench Tahm Kench
-16.10 45.74% 3.78% 1.03% 3.74%
kogMaw Kog'Maw
-16.66 45.29% 3.55% 0.45% 3.53%
jax Jax
-16.92 48.95% 16.12% 9.29% 14.62%
leona Leona
-16.94 47.98% 8.39% 3.02% 8.14%
trundle Trundle
-16.98 45.11% 3.47% 0.35% 3.46%
nocturne Nocturne
-17.44 45.35% 3.75% 0.90% 3.72%
olaf Olaf
-17.73 44.62% 3.29% 0.65% 3.27%
rammus Rammus
-18.03 48.53% 12.29% 20.82% 9.73%
thresh Thresh
-19.69 49.36% 30.87% 25.31% 23.06%
sejuani Sejuani
-21.39 47.33% 8.00% 3.24% 7.74%
riven Riven
-24.14 47.59% 10.01% 5.07% 9.50%
vayne Vayne
-25.27 48.30% 14.85% 6.58% 13.87%
orianna Orianna
-27.91 47.85% 13.00% 4.06% 12.47%
amumu Amumu
-28.46 43.02% 4.08% 1.00% 4.04%
cassiopeia Cassiopeia
-29.35 42.22% 3.78% 0.94% 3.74%
leblanc Leblanc
-29.50 44.05% 4.96% 6.02% 4.66%
varus Varus
-29.50 46.50% 8.43% 0.92% 8.35%
graves Graves
-30.61 42.54% 4.11% 0.87% 4.07%
elise Elise
-30.85 45.11% 6.31% 7.93% 5.81%
singed Singed
-30.85 46.45% 8.68% 25.15% 6.50%
xayah Xayah
-31.25 46.61% 9.21% 4.02% 8.84%
kassadin Kassadin
-31.90 47.18% 11.32% 28.17% 8.13%
sion Sion
-31.98 45.87% 7.73% 0.71% 7.68%
pantheon Pantheon
-32.25 46.66% 9.63% 16.55% 8.04%
camille Camille
-35.18 39.02% 3.20% 1.67% 3.15%
karma Karma
-35.71 44.32% 6.28% 0.49% 6.25%
rekSai Rek'Sai
-36.33 43.51% 5.60% 6.73% 5.22%
rengar Rengar
-36.94 35.18% 2.49% 0.91% 2.47%
nunu Nunu
-36.97 40.10% 3.74% 1.84% 3.67%
lux Lux
-37.55 44.29% 6.57% 0.52% 6.54%
gragas Gragas
-38.07 45.56% 8.57% 0.96% 8.49%
ryze Ryze
-39.47 26.86% 1.71% 0.31% 1.70%
ziggs Ziggs
-41.40 43.74% 6.61% 1.40% 6.52%
morgana Morgana
-42.17 47.04% 14.25% 4.01% 13.68%
janna Janna
-42.43 46.45% 11.95% 0.85% 11.85%
kled Kled
-44.22 41.71% 5.33% 5.03% 5.06%
sivir Sivir
-45.87 42.84% 6.41% 0.45% 6.38%
zed Zed
-47.20 45.73% 11.05% 20.46% 8.79%
galio Galio
-50.61 40.80% 5.49% 6.82% 5.12%
leeSin Lee Sin
-51.40 47.67% 22.04% 19.96% 17.64%
twistedFate Twisted Fate
-53.53 42.67% 7.31% 1.03% 7.23%
shaco Shaco
-55.21 36.62% 4.13% 6.00% 3.88%
ezreal Ezreal
-58.09 42.63% 7.87% 0.56% 7.83%
nidalee Nidalee
-59.65 31.14% 3.17% 0.48% 3.15%
shen Shen
-62.43 40.84% 6.82% 1.13% 6.74%
twitch Twitch
-64.49 43.96% 10.68% 6.13% 10.03%
syndra Syndra
-72.26 38.45% 6.26% 4.09% 6.00%
lulu Lulu
-74.38 41.34% 8.59% 2.53% 8.37%
braum Braum
-75.26 40.44% 7.87% 1.12% 7.78%
lucian Lucian
-90.15 43.94% 14.88% 2.81% 14.46%
katarina Katarina
-111.18 38.63% 9.78% 19.19% 7.90%
khazix Khazix
-125.95 39.04% 11.49% 7.81% 10.59%
caitlyn Caitlyn
-151.33 45.15% 31.21% 33.25% 20.83%

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.

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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