Personalised Bans

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TOP PLATINUM BANS

ekko
#1 : EKKO
Influence: 158
Win Rate: 54.81%
Pick Rate: 32.89%
missFortune
#2 : MISS FORTUNE
Influence: 78
Win Rate: 54.16%
Pick Rate: 18.64%
leona
#3 : LEONA (1)
Influence: 63
Win Rate: 53.57%
Pick Rate: 17.57%
ashe
#4 : ASHE (1)
Influence: 59
Win Rate: 53.10%
Pick Rate: 19.07%

nautilus
#5 : NAUTILUS
Influence: 51
Win Rate: 52.27%
Pick Rate: 22.68%
masterYi
#6 : MASTER YI
Influence: 49
Win Rate: 53.39%
Pick Rate: 14.49%
jinx
#7 : JINX
Influence: 46
Win Rate: 53.16%
Pick Rate: 14.63%
fizz
#8 : FIZZ
Influence: 44
Win Rate: 54.91%
Pick Rate: 8.97%

shaco
#9 : SHACO (1)
Influence: 40
Win Rate: 53.36%
Pick Rate: 11.93%
blitzcrank
#10 : BLITZCRANK (1)
Influence: 40
Win Rate: 52.58%
Pick Rate: 15.45%
caitlyn
#11 : CAITLYN (2)
Influence: 39
Win Rate: 51.43%
Pick Rate: 27.13%
darius
#12 : DARIUS (6)
Influence: 34
Win Rate: 52.00%
Pick Rate: 17.21%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
ekko Ekko
158.19 54.81% 32.89% 35.64% 21.17%
missFortune Miss Fortune
77.55 54.16% 18.64% 3.69% 17.95%
leona Leona
62.70 53.57% 17.57% 17.25% 14.54%
ashe Ashe
59.09 53.10% 19.07% 7.92% 17.56%
nautilus Nautilus
51.37 52.27% 22.68% 27.20% 16.51%
masterYi Master Yi
49.17 53.39% 14.49% 26.09% 10.71%
jinx Jinx
46.21 53.16% 14.63% 2.44% 14.27%
fizz Fizz
43.98 54.91% 8.97% 14.82% 7.64%
shaco Shaco
40.08 53.36% 11.93% 31.96% 8.12%
blitzcrank Blitzcrank
39.84 52.58% 15.45% 37.04% 9.73%
caitlyn Caitlyn
38.94 51.43% 27.13% 16.86% 22.56%
darius Darius
34.47 52.00% 17.21% 31.78% 11.74%
kayle Kayle
31.59 52.35% 13.47% 20.51% 10.71%
ahri Ahri
30.02 53.11% 9.66% 5.40% 9.14%
jhin Jhin
28.00 51.88% 14.92% 2.25% 14.58%
morgana Morgana
26.62 51.32% 20.12% 38.91% 12.29%
mordekaiser Mordekaiser
26.26 52.59% 10.15% 10.35% 9.10%
teemo Teemo
26.03 52.87% 9.06% 9.58% 8.19%
heimerdinger Heimerdinger
25.90 54.38% 5.92% 2.73% 5.76%
zed Zed
22.72 51.70% 13.34% 28.96% 9.48%
malzahar Malzahar
22.36 53.62% 6.16% 8.98% 5.61%
vi Vi
20.98 53.52% 5.96% 1.42% 5.88%
swain Swain
20.88 53.29% 6.35% 2.46% 6.19%
zac Zac
19.92 53.90% 5.11% 1.95% 5.01%
warwick Warwick
19.54 52.79% 7.00% 1.96% 6.86%
nocturne Nocturne
19.53 52.64% 7.41% 3.51% 7.15%
garen Garen
19.37 51.26% 15.31% 21.82% 11.97%
draven Draven
17.68 52.06% 8.59% 14.33% 7.36%
kled Kled
17.64 53.85% 4.59% 4.51% 4.38%
hecarim Hecarim
17.10 52.92% 5.85% 3.78% 5.63%
velkoz Velkoz
16.75 53.10% 5.41% 0.99% 5.36%
lux Lux
16.74 51.08% 15.49% 3.63% 14.93%
volibear Volibear
15.99 52.92% 5.48% 1.21% 5.41%
jax Jax
15.89 51.07% 14.89% 19.13% 12.04%
diana Diana
15.63 52.64% 5.90% 3.29% 5.71%
soraka Soraka
14.65 52.57% 5.69% 1.11% 5.63%
fiora Fiora
14.59 51.67% 8.71% 11.12% 7.74%
janna Janna
13.95 52.33% 5.98% 0.48% 5.95%
nami Nami
13.26 51.48% 8.94% 0.59% 8.89%
zyra Zyra
12.77 52.22% 5.74% 3.55% 5.54%
nunu Nunu
11.74 52.76% 4.25% 1.76% 4.18%
veigar Veigar
11.54 51.30% 8.87% 4.52% 8.47%
urgot Urgot
10.36 52.86% 3.62% 1.56% 3.56%
taric Taric
10.24 55.42% 1.89% 0.55% 1.88%
illaoi Illaoi
9.81 52.45% 4.01% 6.98% 3.73%
brand Brand
9.60 51.40% 6.83% 7.07% 6.35%
quinn Quinn
8.33 53.22% 2.59% 1.07% 2.56%
malphite Malphite
7.90 50.76% 10.39% 9.24% 9.43%
yorick Yorick
7.50 52.62% 2.87% 1.32% 2.83%
bard Bard
7.20 52.03% 3.55% 0.40% 3.54%
kassadin Kassadin
6.94 51.53% 4.55% 5.42% 4.30%
khazix Khazix
6.79 50.56% 12.24% 15.67% 10.32%
ziggs Ziggs
6.78 54.05% 1.67% 0.16% 1.67%
udyr Udyr
6.14 51.55% 3.95% 2.22% 3.86%
olaf Olaf
6.06 51.05% 5.76% 2.60% 5.61%
talon Talon
6.06 50.94% 6.48% 6.19% 6.08%
aurelionSol Aurelionsol
5.99 54.98% 1.20% 0.36% 1.20%
tryndamere Tryndamere
5.51 50.72% 7.68% 8.67% 7.01%
amumu Amumu
5.34 51.14% 4.70% 1.02% 4.65%
thresh Thresh
5.20 50.27% 19.44% 7.31% 18.02%
jarvanIV Jarvan IV
5.15 50.61% 8.40% 1.66% 8.26%
katarina Katarina
5.13 50.78% 6.60% 4.57% 6.30%
vayne Vayne
5.04 50.40% 12.52% 5.05% 11.89%
rammus Rammus
5.02 51.64% 3.05% 3.72% 2.94%
xinZhao Xin Zhao
4.74 51.13% 4.22% 0.87% 4.18%
shyvana Shyvana
4.31 51.76% 2.45% 0.43% 2.44%
kennen Kennen
4.30 51.30% 3.31% 1.99% 3.24%
twitch Twitch
4.03 50.77% 5.23% 1.08% 5.17%
syndra Syndra
3.99 50.70% 5.67% 2.14% 5.55%
fiddlesticks Fiddlesticks
3.90 51.34% 2.92% 0.99% 2.89%
zilean Zilean
3.83 51.41% 2.71% 0.73% 2.69%
drMundo Dr. Mundo
3.50 50.53% 6.67% 6.77% 6.22%
orianna Orianna
3.00 50.58% 5.19% 0.61% 5.16%
anivia Anivia
2.94 51.08% 2.72% 1.05% 2.69%
nasus Nasus
2.90 50.42% 6.95% 5.33% 6.58%
maokai Maokai
2.81 51.18% 2.38% 0.18% 2.38%
lissandra Lissandra
2.30 50.94% 2.45% 0.73% 2.43%
kogMaw Kog'Maw
2.29 51.43% 1.59% 0.13% 1.59%
graves Graves
2.19 50.47% 4.71% 0.64% 4.68%
shen Shen
1.96 50.43% 4.57% 0.42% 4.55%
lulu Lulu
1.75 50.36% 4.93% 0.73% 4.89%
sivir Sivir
1.75 50.38% 4.65% 0.80% 4.61%
rumble Rumble
1.73 50.52% 3.35% 0.47% 3.33%
cassiopeia Cassiopeia
1.70 50.67% 2.52% 0.85% 2.50%
singed Singed
1.42 50.45% 3.11% 0.46% 3.10%
sion Sion
1.41 50.49% 2.84% 0.23% 2.83%
xerath Xerath
0.85 50.17% 5.01% 1.34% 4.94%
viktor Viktor
0.82 50.29% 2.84% 0.31% 2.83%
trundle Trundle
0.29 50.19% 1.50% 0.12% 1.50%
monkeyKing Wukong
0.26 50.11% 2.35% 0.30% 2.34%
renekton Renekton
0.14 50.02% 9.65% 9.55% 8.73%
sona Sona
-0.31 49.91% 3.64% 0.31% 3.63%
corki Corki
-0.45 49.39% 0.73% 0.19% 0.73%
rekSai Rek'Sai
-0.48 49.85% 3.12% 1.19% 3.08%
skarner Skarner
-0.69 49.08% 0.75% 0.12% 0.75%
twistedFate Twisted Fate
-0.71 49.85% 4.59% 0.30% 4.58%
galio Galio
-0.72 49.86% 5.07% 1.05% 5.02%
annie Annie
-0.95 49.77% 4.15% 1.61% 4.08%
evelynn Evelynn
-1.15 49.79% 5.54% 11.78% 4.89%
chogath Cho'Gath
-1.55 49.64% 4.31% 0.97% 4.27%
rengar Rengar
-1.62 49.73% 6.01% 6.25% 5.63%
elise Elise
-1.88 49.69% 6.00% 3.48% 5.79%
poppy Poppy
-2.16 49.12% 2.46% 0.53% 2.45%
alistar Alistar
-2.40 49.24% 3.16% 0.90% 3.13%
ivern Ivern
-2.74 47.05% 0.93% 0.27% 0.93%
tristana Tristana
-3.15 49.70% 10.59% 1.57% 10.42%
karthus Karthus
-3.53 48.80% 2.95% 2.40% 2.88%
karma Karma
-3.60 48.89% 3.26% 0.29% 3.25%
taliyah Taliyah
-3.64 47.50% 1.45% 0.11% 1.45%
camille Camille
-3.94 49.24% 5.19% 1.26% 5.12%
rakan Rakan
-4.22 49.25% 5.66% 0.83% 5.61%
tahmKench Tahm Kench
-4.28 45.97% 1.06% 0.41% 1.06%
kalista Kalista
-4.84 46.57% 1.41% 0.15% 1.41%
riven Riven
-5.47 49.29% 7.65% 3.89% 7.35%
yasuo Yasuo
-5.99 49.85% 38.62% 45.21% 21.16%
jayce Jayce
-6.11 47.48% 2.43% 0.68% 2.41%
leblanc Leblanc
-6.22 48.78% 5.11% 5.26% 4.84%
azir Azir
-6.40 45.05% 1.29% 0.31% 1.29%
nidalee Nidalee
-6.73 47.81% 3.06% 0.45% 3.05%
kindred Kindred
-6.94 47.32% 2.60% 0.62% 2.58%
varus Varus
-6.97 48.34% 4.19% 0.22% 4.18%
gnar Gnar
-7.06 47.39% 2.71% 0.61% 2.69%
sejuani Sejuani
-7.29 46.24% 1.94% 0.43% 1.93%
gangplank Gangplank
-8.93 48.19% 4.95% 1.60% 4.87%
braum Braum
-10.05 45.64% 2.31% 0.68% 2.29%
pantheon Pantheon
-10.19 48.47% 6.67% 11.38% 5.91%
aatrox Aatrox
-15.90 47.31% 5.91% 5.64% 5.58%
xayah Xayah
-16.08 48.78% 13.18% 5.90% 12.40%
irelia Irelia
-17.21 47.16% 6.07% 3.41% 5.86%
lucian Lucian
-17.58 48.80% 14.68% 1.67% 14.43%
gragas Gragas
-19.55 45.91% 4.79% 0.55% 4.76%
vladimir Vladimir
-22.69 48.10% 11.93% 20.31% 9.51%
ryze Ryze
-32.30 48.23% 18.27% 8.56% 16.71%
akali Akali
-40.32 47.06% 13.69% 17.83% 11.25%
ezreal Ezreal
-51.63 46.78% 16.02% 3.42% 15.47%
leeSin Lee Sin
-53.54 47.49% 21.30% 10.44% 19.08%

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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