Personalised Bans

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TOP BRONZE BANS

masterYi
#1 : MASTER YI
Influence: 44
Win Rate: 52.32%
Pick Rate: 19.01%
diana
#2 : DIANA (1)
Influence: 41
Win Rate: 52.39%
Pick Rate: 16.95%
missFortune
#3 : MISS FORTUNE (1)
Influence: 33
Win Rate: 51.26%
Pick Rate: 25.98%
blitzcrank
#4 : BLITZCRANK (3)
Influence: 31
Win Rate: 52.19%
Pick Rate: 14.36%

warwick
#5 : WARWICK
Influence: 28
Win Rate: 52.54%
Pick Rate: 11.16%
fizz
#6 : FIZZ (2)
Influence: 26
Win Rate: 52.50%
Pick Rate: 10.42%
leona
#7 : LEONA (2)
Influence: 23
Win Rate: 51.19%
Pick Rate: 19.38%
amumu
#8 : AMUMU (17)
Influence: 21
Win Rate: 53.77%
Pick Rate: 5.62%

sona
#9 : SONA (3)
Influence: 20
Win Rate: 52.24%
Pick Rate: 9.02%
yasuo
#10 : YASUO
Influence: 20
Win Rate: 50.65%
Pick Rate: 30.81%
swain
#11 : SWAIN (1)
Influence: 20
Win Rate: 53.29%
Pick Rate: 6.00%
soraka
#12 : SORAKA (8)
Influence: 18
Win Rate: 51.14%
Pick Rate: 15.54%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
masterYi Master Yi
44.19 52.32% 19.01% 39.14% 11.57%
diana Diana
40.51 52.39% 16.95% 28.21% 12.17%
missFortune Miss Fortune
32.73 51.26% 25.98% 9.50% 23.51%
blitzcrank Blitzcrank
31.39 52.19% 14.36% 28.18% 10.31%
warwick Warwick
28.36 52.54% 11.16% 6.59% 10.42%
fizz Fizz
26.00 52.50% 10.42% 17.92% 8.55%
leona Leona
23.02 51.19% 19.38% 31.94% 13.19%
amumu Amumu
21.18 53.77% 5.62% 0.94% 5.57%
sona Sona
20.22 52.24% 9.02% 3.23% 8.73%
yasuo Yasuo
20.17 50.65% 30.81% 41.54% 18.01%
swain Swain
19.72 53.29% 6.00% 2.09% 5.87%
soraka Soraka
17.64 51.14% 15.54% 24.71% 11.70%
brand Brand
17.43 52.18% 8.01% 6.08% 7.52%
teemo Teemo
14.52 51.83% 7.94% 7.14% 7.37%
zac Zac
13.56 52.54% 5.33% 1.32% 5.26%
garen Garen
13.51 50.97% 13.93% 7.19% 12.93%
ashe Ashe
13.23 51.06% 12.53% 1.87% 12.30%
nautilus Nautilus
12.09 50.61% 19.81% 28.22% 14.22%
taric Taric
11.88 53.61% 3.29% 1.59% 3.24%
yorick Yorick
10.94 53.47% 3.16% 1.45% 3.11%
nami Nami
10.12 50.91% 11.18% 0.82% 11.09%
mordekaiser Mordekaiser
10.00 50.63% 15.88% 24.06% 12.06%
velkoz Velkoz
9.75 51.63% 5.97% 0.97% 5.91%
drMundo Dr. Mundo
9.52 51.95% 4.89% 2.57% 4.76%
ahri Ahri
9.14 51.14% 8.00% 3.43% 7.73%
trundle Trundle
9.04 51.46% 6.21% 1.25% 6.13%
rammus Rammus
8.54 53.19% 2.68% 2.63% 2.61%
vi Vi
7.04 51.36% 5.19% 0.75% 5.15%
nocturne Nocturne
6.67 51.07% 6.26% 3.24% 6.06%
volibear Volibear
6.66 51.72% 3.86% 0.62% 3.84%
jax Jax
5.62 50.43% 12.93% 9.07% 11.76%
ekko Ekko
5.26 50.25% 20.64% 28.92% 14.67%
nasus Nasus
5.21 50.77% 6.79% 4.32% 6.50%
jinx Jinx
4.85 50.39% 12.35% 1.01% 12.23%
xerath Xerath
4.77 50.95% 5.03% 1.08% 4.98%
urgot Urgot
4.76 51.57% 3.04% 0.94% 3.01%
kassadin Kassadin
4.75 50.61% 7.82% 14.31% 6.70%
heimerdinger Heimerdinger
4.67 51.65% 2.84% 1.20% 2.81%
malzahar Malzahar
4.67 50.91% 5.15% 5.77% 4.85%
udyr Udyr
3.62 51.09% 3.33% 1.10% 3.29%
graves Graves
3.58 50.60% 5.97% 1.10% 5.90%
zyra Zyra
3.18 50.58% 5.50% 2.40% 5.37%
sion Sion
2.89 51.25% 2.31% 0.13% 2.31%
kled Kled
2.69 50.81% 3.34% 1.99% 3.27%
kennen Kennen
2.42 51.16% 2.08% 0.63% 2.07%
cassiopeia Cassiopeia
2.32 50.47% 4.96% 4.48% 4.74%
jarvanIV Jarvan IV
1.93 50.25% 7.78% 1.18% 7.69%
zilean Zilean
1.55 50.55% 2.84% 0.54% 2.82%
nunu Nunu
1.54 50.47% 3.24% 0.61% 3.22%
aurelionSol Aurelionsol
1.31 51.24% 1.06% 0.27% 1.06%
shaco Shaco
1.16 50.14% 8.16% 12.01% 7.18%
singed Singed
1.14 50.28% 4.05% 1.10% 4.01%
kogMaw Kog'Maw
0.93 50.61% 1.52% 0.09% 1.52%
maokai Maokai
0.85 50.34% 2.45% 0.16% 2.45%
shen Shen
0.76 50.12% 6.20% 0.51% 6.17%
skarner Skarner
0.61 50.62% 0.98% 0.11% 0.98%
malphite Malphite
0.45 50.05% 8.16% 3.13% 7.90%
tryndamere Tryndamere
0.45 50.05% 8.92% 10.07% 8.02%
viktor Viktor
0.20 50.06% 3.49% 0.32% 3.48%
galio Galio
0.02 50.00% 3.06% 0.50% 3.04%
annie Annie
-0.14 49.97% 3.88% 1.07% 3.84%
jhin Jhin
-0.37 49.98% 16.58% 2.05% 16.24%
shyvana Shyvana
-0.73 49.83% 4.38% 0.83% 4.34%
rumble Rumble
-1.11 49.75% 4.43% 1.13% 4.38%
kayle Kayle
-1.44 49.65% 4.10% 0.87% 4.06%
ziggs Ziggs
-1.80 49.40% 2.97% 0.22% 2.96%
poppy Poppy
-1.87 49.12% 2.11% 0.23% 2.11%
monkeyKing Wukong
-2.06 49.18% 2.51% 0.30% 2.50%
twitch Twitch
-2.58 49.36% 4.07% 0.55% 4.05%
quinn Quinn
-2.82 48.69% 2.16% 0.96% 2.14%
illaoi Illaoi
-2.83 49.29% 3.98% 6.28% 3.73%
lissandra Lissandra
-3.19 48.35% 1.93% 0.32% 1.92%
rakan Rakan
-3.22 49.18% 3.95% 0.24% 3.94%
corki Corki
-3.23 46.93% 1.05% 0.24% 1.05%
varus Varus
-3.24 49.32% 4.81% 0.15% 4.80%
anivia Anivia
-3.27 48.76% 2.64% 0.89% 2.62%
fiddlesticks Fiddlesticks
-4.02 48.34% 2.43% 0.67% 2.41%
kalista Kalista
-4.42 47.78% 1.99% 0.18% 1.99%
fiora Fiora
-4.52 49.40% 7.53% 8.80% 6.87%
taliyah Taliyah
-4.53 48.12% 2.41% 0.13% 2.41%
alistar Alistar
-4.98 48.21% 2.79% 0.57% 2.77%
veigar Veigar
-5.40 49.36% 8.44% 3.80% 8.12%
twistedFate Twisted Fate
-5.66 48.27% 3.27% 0.19% 3.26%
karma Karma
-5.78 48.53% 3.92% 0.23% 3.91%
ivern Ivern
-7.20 42.68% 0.98% 0.28% 0.98%
xinZhao Xin Zhao
-7.98 47.63% 3.37% 0.45% 3.35%
janna Janna
-8.07 48.45% 5.22% 0.32% 5.20%
sivir Sivir
-8.24 47.18% 2.93% 0.30% 2.92%
sejuani Sejuani
-8.44 48.02% 4.27% 0.53% 4.25%
tahmKench Tahm Kench
-8.84 43.82% 1.43% 0.26% 1.43%
azir Azir
-8.86 45.51% 1.97% 0.31% 1.96%
draven Draven
-9.04 48.45% 5.86% 5.90% 5.51%
lulu Lulu
-9.76 48.28% 5.69% 0.59% 5.66%
chogath Cho'Gath
-10.01 47.84% 4.63% 1.13% 4.58%
jayce Jayce
-10.34 43.65% 1.64% 0.31% 1.63%
orianna Orianna
-10.34 47.97% 5.08% 0.59% 5.05%
rengar Rengar
-10.47 48.30% 6.17% 4.51% 5.89%
kindred Kindred
-10.83 45.78% 2.56% 0.44% 2.55%
bard Bard
-10.86 48.21% 6.07% 0.83% 6.02%
nidalee Nidalee
-11.11 45.68% 2.57% 0.30% 2.56%
braum Braum
-11.63 47.08% 3.98% 0.76% 3.95%
syndra Syndra
-11.94 47.96% 5.86% 1.71% 5.76%
hecarim Hecarim
-12.04 46.04% 3.05% 0.93% 3.02%
xayah Xayah
-12.07 47.88% 5.69% 0.46% 5.66%
tristana Tristana
-12.40 48.25% 7.09% 0.68% 7.04%
karthus Karthus
-12.79 46.67% 3.84% 1.57% 3.78%
olaf Olaf
-13.56 48.75% 10.90% 17.43% 9.00%
gnar Gnar
-14.53 45.94% 3.58% 0.56% 3.56%
vayne Vayne
-14.83 49.03% 15.29% 6.27% 14.33%
renekton Renekton
-15.25 47.83% 7.01% 3.99% 6.73%
talon Talon
-16.04 48.03% 8.13% 6.65% 7.59%
khazix Khazix
-16.23 48.13% 8.67% 3.81% 8.34%
elise Elise
-16.48 47.93% 7.98% 7.60% 7.37%
katarina Katarina
-16.76 47.93% 8.08% 6.36% 7.57%
rekSai Rek'Sai
-17.35 45.84% 4.18% 2.06% 4.09%
lux Lux
-17.46 48.83% 14.96% 2.63% 14.57%
evelynn Evelynn
-17.48 44.69% 3.29% 3.77% 3.17%
pantheon Pantheon
-18.84 45.87% 4.56% 1.06% 4.51%
camille Camille
-19.29 44.73% 3.66% 0.78% 3.63%
riven Riven
-19.87 46.37% 5.48% 1.70% 5.39%
gangplank Gangplank
-21.82 43.50% 3.36% 0.84% 3.33%
zed Zed
-22.24 47.93% 10.76% 18.46% 8.77%
morgana Morgana
-23.96 48.39% 14.86% 26.24% 10.96%
gragas Gragas
-24.38 42.56% 3.28% 0.22% 3.27%
leblanc Leblanc
-28.45 45.22% 5.95% 5.07% 5.65%
vladimir Vladimir
-28.58 47.40% 10.98% 14.48% 9.39%
akali Akali
-30.06 41.69% 3.61% 7.04% 3.36%
darius Darius
-32.87 48.74% 26.03% 42.92% 14.86%
irelia Irelia
-34.18 45.15% 7.06% 2.26% 6.90%
ryze Ryze
-35.09 43.71% 5.57% 1.51% 5.49%
lucian Lucian
-35.23 47.83% 16.25% 1.61% 15.99%
aatrox Aatrox
-40.51 44.16% 6.93% 4.20% 6.64%
caitlyn Caitlyn
-42.49 48.10% 22.34% 13.32% 19.36%
ezreal Ezreal
-54.37 47.40% 20.96% 2.18% 20.50%
thresh Thresh
-61.34 46.58% 17.91% 6.04% 16.83%
leeSin Lee Sin
-88.97 45.41% 19.40% 13.52% 16.78%

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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