Personalised Bans

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TOP GOLD BANS

janna
#1 : JANNA
Influence: 207
Win Rate: 57.43%
Pick Rate: 27.86%
vayne
#2 : VAYNE
Influence: 79
Win Rate: 51.64%
Pick Rate: 48.44%
soraka
#3 : SORAKA
Influence: 70
Win Rate: 54.26%
Pick Rate: 16.38%
jinx
#4 : JINX (1)
Influence: 66
Win Rate: 52.65%
Pick Rate: 25.07%

jarvanIV
#5 : JARVAN IV (1)
Influence: 57
Win Rate: 53.78%
Pick Rate: 15.21%
ahri
#6 : AHRI (3)
Influence: 48
Win Rate: 53.30%
Pick Rate: 14.70%
twitch
#7 : TWITCH (3)
Influence: 42
Win Rate: 51.82%
Pick Rate: 22.88%
warwick
#8 : WARWICK (1)
Influence: 35
Win Rate: 52.73%
Pick Rate: 12.78%

lux
#9 : LUX (1)
Influence: 34
Win Rate: 52.64%
Pick Rate: 12.88%
malzahar
#10 : MALZAHAR (4)
Influence: 31
Win Rate: 53.57%
Pick Rate: 8.74%
sejuani
#11 : SEJUANI
Influence: 29
Win Rate: 52.84%
Pick Rate: 10.07%
sona
#12 : SONA
Influence: 28
Win Rate: 53.69%
Pick Rate: 7.66%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
206.96 57.43% 27.86% 28.26% 19.99%
vayne Vayne
79.44 51.64% 48.44% 49.40% 24.51%
soraka Soraka
69.79 54.26% 16.38% 12.89% 14.27%
jinx Jinx
66.29 52.65% 25.07% 3.67% 24.15%
jarvanIV Jarvan IV
57.43 53.78% 15.21% 8.18% 13.97%
ahri Ahri
48.47 53.30% 14.70% 8.00% 13.52%
twitch Twitch
41.65 51.82% 22.88% 28.64% 16.33%
warwick Warwick
34.91 52.73% 12.78% 10.73% 11.41%
lux Lux
33.92 52.64% 12.88% 1.53% 12.68%
malzahar Malzahar
31.13 53.57% 8.74% 15.63% 7.37%
sejuani Sejuani
28.60 52.84% 10.07% 13.18% 8.74%
sona Sona
28.28 53.69% 7.66% 0.58% 7.62%
rammus Rammus
27.58 53.81% 7.25% 5.96% 6.82%
jax Jax
26.96 52.08% 12.99% 6.86% 12.10%
missFortune Miss Fortune
26.73 52.31% 11.57% 1.77% 11.37%
blitzcrank Blitzcrank
25.89 51.83% 14.19% 18.56% 11.56%
draven Draven
22.41 51.51% 14.90% 31.67% 10.18%
maokai Maokai
21.59 52.10% 10.30% 11.01% 9.17%
yorick Yorick
20.92 57.16% 2.93% 1.56% 2.88%
katarina Katarina
20.86 52.68% 7.79% 8.36% 7.14%
garen Garen
20.72 52.16% 9.62% 5.81% 9.06%
anivia Anivia
20.56 54.48% 4.59% 1.72% 4.51%
lulu Lulu
20.24 51.14% 17.71% 15.03% 15.05%
fizz Fizz
20.03 51.80% 11.12% 30.48% 7.73%
singed Singed
19.97 55.55% 3.60% 1.57% 3.54%
nami Nami
19.80 51.90% 10.45% 0.57% 10.39%
shyvana Shyvana
19.05 53.52% 5.41% 1.34% 5.34%
leona Leona
19.00 51.30% 14.65% 9.20% 13.30%
annie Annie
18.99 52.83% 6.72% 3.28% 6.50%
ashe Ashe
18.71 51.91% 9.79% 0.53% 9.74%
amumu Amumu
15.81 53.03% 5.22% 1.63% 5.13%
nasus Nasus
15.27 51.54% 9.93% 12.41% 8.70%
sivir Sivir
15.17 52.80% 5.43% 0.30% 5.41%
kogMaw Kog'Maw
14.89 52.53% 5.89% 2.42% 5.75%
darius Darius
14.80 50.93% 16.01% 53.97% 7.37%
kayle Kayle
12.42 54.06% 3.06% 0.72% 3.04%
taric Taric
11.91 51.81% 6.57% 0.62% 6.53%
sion Sion
11.68 53.20% 3.65% 0.27% 3.64%
tristana Tristana
11.63 50.40% 29.28% 17.51% 24.15%
fiora Fiora
10.95 50.89% 12.34% 25.22% 9.23%
ziggs Ziggs
10.85 52.91% 3.72% 0.34% 3.71%
urgot Urgot
10.71 52.57% 4.17% 4.32% 3.99%
velkoz Velkoz
10.65 52.33% 4.58% 0.58% 4.55%
xerath Xerath
9.93 53.65% 2.72% 0.32% 2.71%
xinZhao Xin Zhao
9.78 51.32% 7.43% 3.56% 7.17%
mordekaiser Mordekaiser
9.57 53.27% 2.93% 1.19% 2.90%
kled Kled
8.83 52.48% 3.57% 3.62% 3.44%
tryndamere Tryndamere
8.17 51.28% 6.39% 4.05% 6.13%
fiddlesticks Fiddlesticks
8.16 53.10% 2.63% 0.53% 2.62%
jayce Jayce
7.96 50.96% 8.30% 4.91% 7.89%
riven Riven
5.71 50.41% 14.10% 8.46% 12.91%
kassadin Kassadin
5.40 50.85% 6.39% 4.39% 6.11%
quinn Quinn
5.31 52.56% 2.08% 0.43% 2.07%
kindred Kindred
4.80 52.56% 1.88% 0.20% 1.88%
drMundo Dr. Mundo
4.79 51.80% 2.66% 0.93% 2.64%
diana Diana
4.78 50.82% 5.81% 4.75% 5.53%
swain Swain
4.26 51.43% 2.97% 0.99% 2.94%
monkeyKing Wukong
4.13 51.19% 3.48% 0.50% 3.46%
alistar Alistar
3.85 50.40% 9.63% 2.45% 9.39%
rekSai Rek'Sai
3.70 51.22% 3.03% 0.65% 3.01%
masterYi Master Yi
3.35 50.27% 12.29% 15.44% 10.39%
hecarim Hecarim
2.88 50.87% 3.34% 0.75% 3.31%
chogath Cho'Gath
2.25 50.17% 13.65% 34.13% 8.99%
pantheon Pantheon
2.21 50.34% 6.56% 6.69% 6.12%
irelia Irelia
2.18 50.61% 3.59% 1.76% 3.53%
bard Bard
2.08 50.36% 5.74% 0.67% 5.70%
taliyah Taliyah
2.06 50.87% 2.37% 0.41% 2.36%
nautilus Nautilus
1.59 50.30% 5.37% 0.67% 5.33%
aatrox Aatrox
1.56 51.40% 1.12% 0.67% 1.11%
varus Varus
1.43 50.30% 4.80% 0.28% 4.79%
gnar Gnar
0.77 50.08% 9.36% 5.39% 8.86%
heimerdinger Heimerdinger
0.71 50.38% 1.88% 0.44% 1.87%
talon Talon
0.53 50.09% 6.02% 5.10% 5.71%
volibear Volibear
0.49 50.17% 2.90% 0.37% 2.89%
malphite Malphite
0.30 50.05% 5.72% 1.25% 5.65%
twistedFate Twisted Fate
0.25 50.03% 7.84% 0.78% 7.78%
vi Vi
0.17 50.03% 6.09% 1.70% 5.99%
rumble Rumble
-0.30 49.91% 3.30% 0.54% 3.28%
kennen Kennen
-0.58 49.84% 3.60% 0.92% 3.57%
akali Akali
-1.10 49.75% 4.31% 4.62% 4.11%
shaco Shaco
-1.11 49.68% 3.47% 0.99% 3.44%
karthus Karthus
-1.14 48.83% 0.97% 0.12% 0.97%
aurelionSol Aurelionsol
-1.18 48.57% 0.82% 0.40% 0.82%
zyra Zyra
-1.18 49.61% 3.01% 0.64% 2.99%
zilean Zilean
-1.40 49.35% 2.16% 0.25% 2.15%
skarner Skarner
-1.75 48.57% 1.22% 0.10% 1.22%
ivern Ivern
-2.44 48.21% 1.36% 0.28% 1.36%
illaoi Illaoi
-2.98 49.08% 3.23% 7.69% 2.98%
camille Camille
-3.02 49.07% 3.23% 2.47% 3.15%
graves Graves
-3.12 48.67% 2.35% 0.16% 2.35%
kayn Kayn
-3.53 49.84% 22.05% 30.20% 15.39%
nocturne Nocturne
-3.77 48.31% 2.23% 0.15% 2.23%
renekton Renekton
-3.84 49.57% 8.88% 5.68% 8.38%
poppy Poppy
-3.88 49.21% 4.93% 0.38% 4.91%
udyr Udyr
-4.12 46.09% 1.05% 0.12% 1.05%
khazix Khazix
-4.61 49.43% 8.04% 2.54% 7.84%
nunu Nunu
-4.65 44.48% 0.84% 0.05% 0.84%
trundle Trundle
-5.58 48.57% 3.90% 0.70% 3.87%
evelynn Evelynn
-5.91 46.98% 1.95% 1.16% 1.93%
corki Corki
-6.01 47.71% 2.63% 0.46% 2.62%
brand Brand
-6.37 48.91% 5.84% 3.38% 5.64%
gangplank Gangplank
-6.74 49.03% 6.95% 1.75% 6.83%
teemo Teemo
-7.41 48.85% 6.45% 3.02% 6.26%
cassiopeia Cassiopeia
-7.77 47.23% 2.81% 1.20% 2.78%
azir Azir
-8.50 46.38% 2.35% 0.64% 2.33%
ekko Ekko
-9.04 49.15% 10.63% 5.55% 10.04%
orianna Orianna
-10.48 49.21% 13.27% 4.00% 12.74%
gragas Gragas
-11.15 48.79% 9.22% 1.92% 9.04%
lissandra Lissandra
-11.22 46.23% 2.97% 0.39% 2.96%
ryze Ryze
-11.43 46.03% 2.88% 0.33% 2.87%
zac Zac
-11.76 48.62% 8.53% 25.58% 6.35%
tahmKench Tahm Kench
-12.41 45.11% 2.54% 0.46% 2.53%
kalista Kalista
-12.64 47.26% 4.61% 0.87% 4.57%
rengar Rengar
-12.76 45.76% 3.01% 0.42% 3.00%
viktor Viktor
-13.27 45.15% 2.74% 0.23% 2.73%
xayah Xayah
-13.53 49.32% 19.83% 18.65% 16.13%
vladimir Vladimir
-13.61 48.33% 8.15% 8.22% 7.48%
karma Karma
-15.39 46.68% 4.63% 0.20% 4.62%
syndra Syndra
-15.44 48.19% 8.52% 7.64% 7.87%
olaf Olaf
-16.47 44.50% 2.99% 0.49% 2.98%
veigar Veigar
-16.70 47.61% 6.99% 3.14% 6.77%
yasuo Yasuo
-17.16 49.40% 28.73% 48.41% 14.82%
morgana Morgana
-17.30 48.54% 11.88% 5.77% 11.19%
galio Galio
-17.90 46.88% 5.75% 2.01% 5.63%
elise Elise
-19.39 45.62% 4.43% 1.29% 4.37%
ornn Ornn
-23.38 42.95% 3.32% 5.08% 3.15%
shen Shen
-23.93 47.38% 9.12% 1.57% 8.98%
braum Braum
-24.19 47.90% 11.50% 5.15% 10.91%
jhin Jhin
-26.72 48.20% 14.80% 2.12% 14.49%
rakan Rakan
-26.77 47.96% 13.09% 6.72% 12.21%
leblanc Leblanc
-27.96 44.37% 4.96% 4.52% 4.74%
nidalee Nidalee
-29.17 39.54% 2.79% 0.27% 2.78%
zed Zed
-34.90 48.82% 29.64% 53.98% 13.64%
ezreal Ezreal
-38.73 47.69% 16.73% 7.51% 15.47%
caitlyn Caitlyn
-41.69 45.55% 9.37% 7.11% 8.70%
lucian Lucian
-56.42 46.54% 16.28% 3.57% 15.70%
thresh Thresh
-90.67 46.88% 29.03% 12.45% 25.42%
leeSin Lee Sin
-103.81 46.82% 32.62% 22.90% 25.15%

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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