Personalised Bans

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TOP PLATINUM BANS

thresh
#1 : THRESH (1)
Influence: 141
Win Rate: 55.13%
Pick Rate: 27.59%
ahri
#2 : AHRI (1)
Influence: 126
Win Rate: 55.51%
Pick Rate: 22.85%
caitlyn
#3 : CAITLYN
Influence: 117
Win Rate: 52.96%
Pick Rate: 39.48%
darius
#4 : DARIUS (6)
Influence: 101
Win Rate: 55.77%
Pick Rate: 17.50%

pantheon
#5 : PANTHEON (1)
Influence: 84
Win Rate: 58.60%
Pick Rate: 9.73%
riven
#6 : RIVEN (1)
Influence: 70
Win Rate: 54.72%
Pick Rate: 14.73%
khazix
#7 : KHAZIX (1)
Influence: 56
Win Rate: 54.19%
Pick Rate: 13.28%
twitch
#8 : TWITCH
Influence: 55
Win Rate: 53.95%
Pick Rate: 13.92%

jarvanIV
#9 : JARVAN IV (2)
Influence: 55
Win Rate: 57.20%
Pick Rate: 7.59%
morgana
#10 : MORGANA (7)
Influence: 53
Win Rate: 54.65%
Pick Rate: 11.44%
vayne
#11 : VAYNE (10)
Influence: 48
Win Rate: 52.73%
Pick Rate: 17.75%
vladimir
#12 : VLADIMIR (11)
Influence: 48
Win Rate: 56.49%
Pick Rate: 7.42%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
thresh Thresh
141.40 55.13% 27.59% 2.38% 26.93%
ahri Ahri
126.02 55.51% 22.85% 9.85% 20.60%
caitlyn Caitlyn
116.92 52.96% 39.48% 14.53% 33.74%
darius Darius
101.07 55.77% 17.50% 34.10% 11.53%
pantheon Pantheon
83.72 58.60% 9.73% 6.78% 9.07%
riven Riven
69.51 54.72% 14.73% 3.95% 14.15%
khazix Khazix
55.67 54.19% 13.28% 3.62% 12.80%
twitch Twitch
54.93 53.95% 13.92% 2.31% 13.60%
jarvanIV Jarvan IV
54.64 57.20% 7.59% 0.32% 7.57%
morgana Morgana
53.25 54.65% 11.44% 1.74% 11.24%
vayne Vayne
48.44 52.73% 17.75% 7.30% 16.45%
vladimir Vladimir
48.13 56.49% 7.42% 10.23% 6.66%
leona Leona
47.76 55.49% 8.71% 0.72% 8.65%
tryndamere Tryndamere
46.70 55.43% 8.59% 4.11% 8.24%
zac Zac
46.56 54.30% 10.82% 12.97% 9.42%
katarina Katarina
45.96 57.04% 6.52% 11.36% 5.78%
xinZhao Xin Zhao
45.45 56.07% 7.49% 1.30% 7.39%
shaco Shaco
43.90 59.56% 4.59% 2.68% 4.47%
zyra Zyra
39.49 56.06% 6.51% 1.69% 6.40%
sona Sona
38.51 54.03% 9.55% 0.34% 9.52%
evelynn Evelynn
36.70 55.30% 6.92% 11.11% 6.15%
sejuani Sejuani
35.53 57.34% 4.83% 15.37% 4.09%
vi Vi
35.30 56.12% 5.77% 0.62% 5.73%
jinx Jinx
33.88 52.90% 11.67% 0.38% 11.63%
anivia Anivia
32.35 56.64% 4.87% 2.01% 4.77%
jax Jax
31.30 51.93% 16.20% 3.87% 15.57%
janna Janna
30.03 53.09% 9.71% 0.31% 9.68%
camille Camille
29.68 63.05% 2.28% 4.76% 2.17%
shyvana Shyvana
29.44 62.05% 2.44% 0.15% 2.44%
annie Annie
29.12 53.09% 9.42% 4.16% 9.03%
nunu Nunu
27.14 56.57% 4.13% 0.27% 4.12%
galio Galio
25.61 52.47% 10.38% 6.76% 9.68%
warwick Warwick
24.18 52.24% 10.80% 3.82% 10.39%
hecarim Hecarim
23.08 54.94% 4.67% 1.45% 4.60%
kayle Kayle
21.59 55.77% 3.75% 0.44% 3.73%
draven Draven
21.42 51.28% 16.70% 7.60% 15.43%
rammus Rammus
20.44 55.82% 3.51% 0.85% 3.48%
heimerdinger Heimerdinger
19.56 54.71% 4.16% 0.90% 4.12%
ivern Ivern
18.83 55.33% 3.54% 7.84% 3.26%
rumble Rumble
16.84 53.59% 4.69% 0.55% 4.66%
fiddlesticks Fiddlesticks
16.53 54.93% 3.36% 0.66% 3.34%
sion Sion
16.28 56.05% 2.69% 0.10% 2.69%
kled Kled
15.70 54.22% 3.73% 2.56% 3.63%
twistedFate Twisted Fate
15.35 51.66% 9.22% 0.78% 9.15%
shen Shen
14.06 52.17% 6.49% 0.44% 6.46%
volibear Volibear
12.88 55.88% 2.19% 0.16% 2.19%
akali Akali
12.18 51.99% 6.14% 2.25% 6.00%
bard Bard
12.12 52.27% 5.33% 0.35% 5.31%
monkeyKing Wukong
11.91 52.57% 4.63% 0.30% 4.62%
teemo Teemo
10.12 51.15% 8.83% 2.89% 8.57%
gangplank Gangplank
9.45 51.15% 8.24% 1.91% 8.08%
amumu Amumu
9.21 51.77% 5.21% 1.55% 5.13%
missFortune Miss Fortune
9.10 51.02% 8.90% 0.31% 8.87%
soraka Soraka
9.01 51.09% 8.31% 1.93% 8.15%
varus Varus
8.78 52.09% 4.19% 0.10% 4.19%
lulu Lulu
7.65 50.33% 22.84% 31.84% 15.57%
kindred Kindred
7.60 54.25% 1.79% 0.17% 1.79%
drMundo Dr. Mundo
7.41 53.65% 2.02% 0.68% 2.01%
aatrox Aatrox
6.57 54.26% 1.54% 2.20% 1.51%
taric Taric
6.23 53.97% 1.57% 0.09% 1.57%
quinn Quinn
5.56 53.07% 1.81% 0.25% 1.81%
orianna Orianna
5.33 50.34% 15.79% 2.31% 15.43%
braum Braum
5.22 50.75% 6.99% 0.80% 6.93%
karthus Karthus
3.64 52.03% 1.79% 0.11% 1.79%
xayah Xayah
3.50 50.20% 17.28% 20.55% 13.73%
mordekaiser Mordekaiser
2.99 52.51% 1.19% 0.19% 1.19%
nautilus Nautilus
2.19 50.37% 5.91% 0.51% 5.88%
udyr Udyr
1.73 50.88% 1.97% 0.22% 1.97%
illaoi Illaoi
1.19 50.39% 3.03% 2.50% 2.95%
xerath Xerath
0.76 50.23% 3.29% 0.24% 3.28%
taliyah Taliyah
0.06 50.02% 2.41% 0.23% 2.40%
masterYi Master Yi
-0.13 49.99% 17.86% 21.39% 14.04%
lucian Lucian
-0.75 49.98% 37.63% 11.38% 33.35%
sivir Sivir
-1.36 49.61% 3.53% 0.06% 3.53%
tahmKench Tahm Kench
-2.34 49.26% 3.16% 0.36% 3.15%
fiora Fiora
-2.74 49.79% 13.07% 18.05% 10.71%
diana Diana
-2.88 49.11% 3.23% 0.65% 3.21%
nami Nami
-3.07 49.69% 9.81% 0.13% 9.80%
rekSai Rek'Sai
-3.36 45.95% 0.83% 0.06% 0.83%
lissandra Lissandra
-3.39 48.28% 1.97% 0.10% 1.97%
trundle Trundle
-3.59 48.36% 2.19% 0.09% 2.19%
velkoz Velkoz
-4.19 48.97% 4.08% 0.14% 4.07%
swain Swain
-4.28 48.90% 3.88% 0.73% 3.85%
talon Talon
-4.58 48.74% 3.62% 1.75% 3.56%
kassadin Kassadin
-4.87 49.61% 12.57% 15.91% 10.57%
viktor Viktor
-5.24 48.92% 4.84% 0.37% 4.82%
chogath Cho'Gath
-5.53 48.37% 3.40% 0.78% 3.37%
aurelionSol Aurelionsol
-5.55 45.53% 1.25% 0.42% 1.24%
nocturne Nocturne
-5.99 48.50% 4.00% 0.25% 3.99%
malphite Malphite
-6.34 49.12% 7.19% 1.77% 7.06%
nidalee Nidalee
-6.38 48.07% 3.30% 0.40% 3.29%
rengar Rengar
-6.45 47.90% 3.08% 1.29% 3.04%
ziggs Ziggs
-6.64 48.25% 3.81% 0.21% 3.80%
irelia Irelia
-6.94 48.78% 5.69% 1.39% 5.61%
ekko Ekko
-7.66 49.19% 9.45% 3.99% 9.07%
cassiopeia Cassiopeia
-7.73 47.70% 3.36% 0.89% 3.33%
zilean Zilean
-8.02 47.31% 2.99% 0.33% 2.98%
skarner Skarner
-9.31 36.46% 0.69% 0.07% 0.69%
tristana Tristana
-10.19 48.25% 5.83% 0.05% 5.83%
yorick Yorick
-10.59 46.08% 2.71% 0.64% 2.69%
nasus Nasus
-10.89 48.00% 5.45% 1.08% 5.39%
singed Singed
-11.31 43.66% 1.78% 0.18% 1.78%
rakan Rakan
-11.55 48.51% 7.72% 2.89% 7.50%
ashe Ashe
-11.62 49.20% 14.53% 0.45% 14.46%
malzahar Malzahar
-12.12 46.26% 3.24% 1.07% 3.21%
kalista Kalista
-13.00 42.61% 1.76% 0.04% 1.76%
elise Elise
-13.11 48.56% 9.07% 3.02% 8.80%
kennen Kennen
-14.33 46.87% 4.58% 1.58% 4.51%
alistar Alistar
-14.47 46.84% 4.58% 0.90% 4.54%
kogMaw Kog'Maw
-14.79 46.81% 4.65% 0.76% 4.61%
urgot Urgot
-16.54 18.75% 0.53% 0.34% 0.53%
graves Graves
-17.30 48.96% 16.72% 10.69% 14.93%
brand Brand
-18.18 48.32% 10.80% 2.61% 10.52%
veigar Veigar
-19.70 46.88% 6.30% 1.31% 6.22%
gnar Gnar
-20.49 40.72% 2.21% 0.18% 2.21%
garen Garen
-21.16 45.66% 4.88% 0.97% 4.83%
poppy Poppy
-21.74 41.87% 2.68% 0.22% 2.67%
lux Lux
-22.14 48.40% 13.86% 0.87% 13.74%
gragas Gragas
-22.81 47.72% 10.02% 1.42% 9.88%
maokai Maokai
-23.29 47.03% 7.83% 7.41% 7.25%
zed Zed
-24.33 48.46% 15.74% 27.15% 11.47%
azir Azir
-24.77 33.47% 1.50% 0.40% 1.49%
olaf Olaf
-25.41 44.36% 4.51% 0.39% 4.49%
ezreal Ezreal
-29.49 48.43% 18.80% 0.77% 18.66%
corki Corki
-31.40 17.90% 0.98% 0.07% 0.98%
karma Karma
-32.38 47.83% 14.93% 1.43% 14.72%
jhin Jhin
-33.48 44.83% 6.47% 0.45% 6.44%
yasuo Yasuo
-34.55 48.69% 26.32% 42.47% 15.14%
leblanc Leblanc
-35.59 42.98% 5.07% 5.56% 4.79%
renekton Renekton
-37.89 46.39% 10.51% 3.53% 10.14%
syndra Syndra
-42.18 46.28% 11.34% 5.62% 10.70%
fizz Fizz
-43.42 48.33% 25.96% 65.53% 8.95%
jayce Jayce
-50.21 42.44% 6.65% 1.93% 6.52%
ryze Ryze
-52.06 31.65% 2.84% 0.22% 2.83%
blitzcrank Blitzcrank
-83.54 44.28% 14.59% 14.34% 12.50%
leeSin Lee Sin
-137.33 46.70% 41.65% 24.06% 31.63%

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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