Personalised Bans

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TOP PLATINUM BANS

nautilus
#1 : NAUTILUS (1)
Influence: 60
Win Rate: 53.80%
Pick Rate: 15.76%
jinx
#2 : JINX (1)
Influence: 58
Win Rate: 52.74%
Pick Rate: 21.32%
ekko
#3 : EKKO
Influence: 37
Win Rate: 52.59%
Pick Rate: 14.26%
khazix
#4 : KHAZIX (1)
Influence: 36
Win Rate: 52.34%
Pick Rate: 15.57%

jhin
#5 : JHIN (1)
Influence: 36
Win Rate: 51.88%
Pick Rate: 19.32%
ahri
#6 : AHRI (1)
Influence: 35
Win Rate: 52.95%
Pick Rate: 11.99%
garen
#7 : GAREN (2)
Influence: 35
Win Rate: 53.56%
Pick Rate: 9.75%
caitlyn
#8 : CAITLYN (2)
Influence: 32
Win Rate: 51.04%
Pick Rate: 30.34%

leona
#9 : LEONA (2)
Influence: 30
Win Rate: 52.36%
Pick Rate: 12.76%
drMundo
#10 : DR. MUNDO (2)
Influence: 30
Win Rate: 52.62%
Pick Rate: 11.46%
jax
#11 : JAX (6)
Influence: 30
Win Rate: 51.59%
Pick Rate: 18.70%
masterYi
#12 : MASTER YI (4)
Influence: 27
Win Rate: 52.17%
Pick Rate: 12.61%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
nautilus Nautilus
59.86 53.80% 15.76% 17.90% 12.94%
jinx Jinx
58.47 52.74% 21.32% 7.47% 19.73%
ekko Ekko
36.92 52.59% 14.26% 6.87% 13.28%
khazix Khazix
36.38 52.34% 15.57% 13.55% 13.46%
jhin Jhin
36.27 51.88% 19.32% 3.62% 18.62%
ahri Ahri
35.31 52.95% 11.99% 7.29% 11.12%
garen Garen
34.70 53.56% 9.75% 4.83% 9.28%
caitlyn Caitlyn
31.55 51.04% 30.34% 18.15% 24.83%
leona Leona
30.12 52.36% 12.76% 7.77% 11.77%
drMundo Dr. Mundo
29.99 52.62% 11.46% 11.73% 10.12%
jax Jax
29.64 51.59% 18.70% 26.10% 13.82%
masterYi Master Yi
27.36 52.17% 12.61% 25.80% 9.36%
blitzcrank Blitzcrank
26.32 53.16% 8.34% 13.51% 7.21%
nami Nami
24.17 52.26% 10.70% 0.85% 10.61%
fizz Fizz
23.01 52.56% 9.01% 15.88% 7.58%
teemo Teemo
21.65 52.01% 10.80% 9.63% 9.76%
brand Brand
21.61 52.43% 8.89% 10.23% 7.98%
yasuo Yasuo
21.19 50.62% 34.19% 46.65% 18.24%
volibear Volibear
21.10 53.57% 5.92% 2.18% 5.79%
zyra Zyra
20.54 53.03% 6.77% 5.21% 6.42%
hecarim Hecarim
20.43 53.10% 6.60% 7.83% 6.08%
swain Swain
20.10 52.82% 7.13% 2.00% 6.99%
darius Darius
19.94 51.05% 18.99% 36.23% 12.11%
zed Zed
19.81 51.34% 14.82% 33.12% 9.91%
draven Draven
19.05 51.68% 11.34% 24.95% 8.51%
mordekaiser Mordekaiser
17.18 51.39% 12.36% 17.18% 10.24%
nunu Nunu
16.88 52.81% 6.01% 6.69% 5.61%
kled Kled
15.79 53.04% 5.20% 7.97% 4.79%
malzahar Malzahar
13.98 52.11% 6.65% 9.13% 6.04%
kayle Kayle
13.86 52.34% 5.93% 1.54% 5.84%
vi Vi
13.85 51.97% 7.04% 2.80% 6.84%
kassadin Kassadin
13.67 52.24% 6.10% 5.86% 5.74%
quinn Quinn
13.58 55.48% 2.48% 0.78% 2.46%
rengar Rengar
13.05 51.65% 7.93% 8.78% 7.23%
rakan Rakan
13.03 51.23% 10.60% 2.03% 10.38%
bard Bard
12.33 52.81% 4.38% 0.53% 4.36%
nocturne Nocturne
12.12 51.82% 6.65% 2.72% 6.47%
renekton Renekton
11.98 51.15% 10.44% 11.85% 9.20%
missFortune Miss Fortune
11.94 51.34% 8.95% 1.20% 8.84%
xerath Xerath
11.91 51.73% 6.90% 1.82% 6.77%
janna Janna
11.28 51.51% 7.50% 0.84% 7.44%
velkoz Velkoz
10.84 51.62% 6.70% 1.47% 6.60%
jarvanIV Jarvan IV
10.50 51.15% 9.11% 2.90% 8.85%
thresh Thresh
10.00 50.51% 19.51% 9.40% 17.68%
soraka Soraka
9.34 51.29% 7.27% 2.05% 7.12%
fiora Fiora
8.75 51.04% 8.43% 7.05% 7.84%
sivir Sivir
8.34 51.60% 5.21% 2.77% 5.07%
zilean Zilean
8.07 52.24% 3.60% 1.18% 3.56%
kindred Kindred
7.96 52.28% 3.50% 1.26% 3.46%
illaoi Illaoi
7.92 51.52% 5.20% 11.53% 4.60%
sona Sona
7.79 51.51% 5.17% 0.56% 5.14%
taric Taric
7.23 53.53% 2.05% 0.47% 2.04%
tryndamere Tryndamere
7.08 50.80% 8.82% 10.33% 7.91%
graves Graves
6.61 51.67% 3.96% 0.52% 3.94%
kennen Kennen
6.56 51.69% 3.88% 2.42% 3.79%
rekSai Rek'Sai
6.37 52.65% 2.40% 1.01% 2.38%
ashe Ashe
6.34 50.58% 10.93% 1.18% 10.80%
karma Karma
5.77 50.90% 6.39% 0.96% 6.33%
udyr Udyr
5.60 51.38% 4.08% 3.64% 3.93%
ziggs Ziggs
5.60 52.62% 2.13% 0.18% 2.13%
vladimir Vladimir
5.38 50.52% 10.38% 16.61% 8.66%
katarina Katarina
5.27 50.68% 7.78% 6.19% 7.30%
cassiopeia Cassiopeia
4.91 51.73% 2.84% 0.80% 2.82%
galio Galio
4.87 51.26% 3.87% 0.41% 3.85%
twitch Twitch
4.13 50.62% 6.66% 1.80% 6.54%
olaf Olaf
4.11 50.94% 4.38% 1.80% 4.30%
vayne Vayne
4.04 50.28% 14.31% 7.68% 13.21%
elise Elise
3.89 50.81% 4.81% 2.80% 4.68%
xinZhao Xin Zhao
3.86 50.92% 4.21% 1.10% 4.16%
shaco Shaco
3.83 50.97% 3.95% 2.18% 3.86%
lux Lux
3.77 50.18% 20.67% 7.30% 19.16%
warwick Warwick
3.64 50.56% 6.47% 1.91% 6.35%
malphite Malphite
3.38 50.21% 16.11% 14.27% 13.81%
chogath Cho'Gath
3.18 50.65% 4.93% 1.13% 4.87%
talon Talon
2.81 50.41% 6.82% 6.61% 6.37%
rumble Rumble
2.52 50.87% 2.90% 0.46% 2.89%
fiddlesticks Fiddlesticks
2.32 50.68% 3.40% 1.31% 3.36%
ryze Ryze
2.19 50.42% 5.29% 0.83% 5.25%
amumu Amumu
2.02 50.39% 5.18% 1.62% 5.10%
aurelionSol Aurelionsol
2.00 51.68% 1.19% 0.37% 1.19%
ivern Ivern
1.81 51.95% 0.93% 0.32% 0.93%
diana Diana
1.72 50.34% 5.15% 3.04% 4.99%
karthus Karthus
1.63 50.48% 3.44% 3.14% 3.33%
nasus Nasus
1.45 50.16% 9.09% 9.11% 8.26%
monkeyKing Wukong
1.39 50.52% 2.69% 0.30% 2.68%
sion Sion
1.23 50.44% 2.79% 0.19% 2.78%
heimerdinger Heimerdinger
0.75 50.37% 2.03% 0.68% 2.02%
urgot Urgot
0.43 50.10% 4.46% 2.68% 4.34%
veigar Veigar
0.10 50.01% 8.12% 3.34% 7.85%
morgana Morgana
0.00 50.00% 24.17% 43.08% 13.76%
skarner Skarner
-0.06 49.94% 1.01% 0.19% 1.01%
rammus Rammus
-0.09 49.97% 3.30% 6.42% 3.09%
anivia Anivia
-0.78 49.75% 3.06% 1.29% 3.02%
syndra Syndra
-0.86 49.82% 4.88% 1.40% 4.81%
twistedFate Twisted Fate
-1.61 49.58% 3.83% 0.16% 3.82%
kogMaw Kog'Maw
-1.65 49.10% 1.83% 0.13% 1.83%
gnar Gnar
-1.84 49.41% 3.11% 0.66% 3.09%
singed Singed
-2.02 49.32% 2.98% 0.59% 2.96%
taliyah Taliyah
-2.04 48.74% 1.62% 0.12% 1.62%
xayah Xayah
-2.20 49.86% 15.44% 5.22% 14.63%
maokai Maokai
-2.62 48.35% 1.59% 0.15% 1.59%
lissandra Lissandra
-2.89 48.34% 1.74% 0.41% 1.73%
zac Zac
-2.95 48.99% 2.92% 0.70% 2.90%
annie Annie
-2.99 49.22% 3.84% 1.48% 3.78%
yorick Yorick
-3.04 48.95% 2.90% 1.70% 2.85%
corki Corki
-3.26 47.86% 1.52% 0.31% 1.52%
shen Shen
-3.55 49.45% 6.48% 0.55% 6.44%
camille Camille
-3.59 49.12% 4.06% 0.95% 4.02%
shyvana Shyvana
-3.59 48.78% 2.94% 0.59% 2.92%
viktor Viktor
-4.28 47.49% 1.71% 0.16% 1.71%
tristana Tristana
-4.33 49.59% 10.50% 1.94% 10.30%
alistar Alistar
-4.88 48.64% 3.57% 1.24% 3.53%
kalista Kalista
-4.90 45.26% 1.03% 0.14% 1.03%
braum Braum
-5.00 48.44% 3.21% 0.99% 3.18%
nidalee Nidalee
-5.26 48.42% 3.34% 0.50% 3.32%
lucian Lucian
-5.27 49.62% 13.87% 2.08% 13.58%
gragas Gragas
-5.74 48.84% 4.97% 0.53% 4.94%
pantheon Pantheon
-6.72 49.67% 20.20% 22.18% 15.72%
orianna Orianna
-7.94 47.99% 3.95% 0.33% 3.94%
lulu Lulu
-8.02 48.64% 5.90% 1.08% 5.84%
poppy Poppy
-8.83 47.34% 3.32% 0.80% 3.29%
trundle Trundle
-9.23 44.86% 1.79% 0.20% 1.79%
tahmKench Tahm Kench
-9.82 43.84% 1.60% 1.21% 1.58%
leblanc Leblanc
-10.00 48.18% 5.49% 5.68% 5.18%
jayce Jayce
-10.96 45.36% 2.37% 0.71% 2.35%
sejuani Sejuani
-11.60 46.25% 3.10% 1.18% 3.06%
varus Varus
-12.70 46.87% 4.05% 0.25% 4.04%
evelynn Evelynn
-13.19 48.48% 8.68% 22.78% 6.70%
azir Azir
-13.37 42.55% 1.80% 0.58% 1.79%
gangplank Gangplank
-16.83 46.92% 5.47% 1.39% 5.39%
leeSin Lee Sin
-20.20 48.60% 14.41% 6.86% 13.42%
riven Riven
-23.45 47.49% 9.34% 6.10% 8.77%
aatrox Aatrox
-27.74 43.05% 4.00% 11.72% 3.53%
irelia Irelia
-42.00 44.25% 7.30% 4.98% 6.94%
akali Akali
-69.34 43.75% 11.08% 24.02% 8.42%
ezreal Ezreal
-69.55 46.34% 19.00% 6.02% 17.86%

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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