Personalised Bans

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TOP GOLD BANS

morgana
#1 : MORGANA (4)
Influence: 84
Win Rate: 52.15%
Pick Rate: 39.14%
lux
#2 : LUX (1)
Influence: 83
Win Rate: 53.76%
Pick Rate: 22.11%
jinx
#3 : JINX
Influence: 78
Win Rate: 54.63%
Pick Rate: 16.74%
ahri
#4 : AHRI
Influence: 73
Win Rate: 54.12%
Pick Rate: 17.71%

masterYi
#5 : MASTER YI (3)
Influence: 69
Win Rate: 53.35%
Pick Rate: 20.55%
nami
#6 : NAMI
Influence: 65
Win Rate: 54.19%
Pick Rate: 15.49%
nautilus
#7 : NAUTILUS
Influence: 47
Win Rate: 52.83%
Pick Rate: 16.68%
vi
#8 : VI
Influence: 39
Win Rate: 54.01%
Pick Rate: 9.81%

amumu
#9 : AMUMU (1)
Influence: 37
Win Rate: 55.58%
Pick Rate: 6.60%
sivir
#10 : SIVIR (3)
Influence: 37
Win Rate: 53.79%
Pick Rate: 9.64%
garen
#11 : GAREN (2)
Influence: 36
Win Rate: 54.41%
Pick Rate: 8.27%
rammus
#12 : RAMMUS (1)
Influence: 34
Win Rate: 53.74%
Pick Rate: 9.12%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
morgana Morgana
83.98 52.15% 39.14% 52.79% 18.48%
lux Lux
83.07 53.76% 22.11% 4.58% 21.10%
jinx Jinx
77.58 54.63% 16.74% 2.33% 16.35%
ahri Ahri
73.04 54.12% 17.71% 15.30% 15.00%
masterYi Master Yi
68.87 53.35% 20.55% 34.90% 13.38%
nami Nami
64.95 54.19% 15.49% 2.56% 15.09%
nautilus Nautilus
47.20 52.83% 16.68% 17.67% 13.73%
vi Vi
39.31 54.01% 9.81% 2.85% 9.53%
amumu Amumu
36.85 55.58% 6.60% 1.14% 6.52%
sivir Sivir
36.51 53.79% 9.64% 1.21% 9.52%
garen Garen
36.49 54.41% 8.27% 5.58% 7.81%
rammus Rammus
34.13 53.74% 9.12% 20.92% 7.21%
malzahar Malzahar
33.33 53.81% 8.77% 11.25% 7.78%
sona Sona
29.73 54.81% 6.17% 0.56% 6.14%
brand Brand
27.92 53.43% 8.14% 16.50% 6.80%
urgot Urgot
27.79 53.32% 8.38% 10.41% 7.51%
hecarim Hecarim
27.38 52.23% 12.27% 18.59% 9.99%
soraka Soraka
26.24 53.43% 7.64% 2.98% 7.41%
ashe Ashe
24.77 52.94% 8.42% 0.63% 8.37%
jarvanIV Jarvan IV
23.87 51.38% 17.37% 10.81% 15.49%
fizz Fizz
22.49 52.59% 8.69% 11.19% 7.72%
veigar Veigar
20.67 51.86% 11.11% 6.52% 10.39%
nasus Nasus
19.78 52.52% 7.86% 5.70% 7.41%
zyra Zyra
18.18 52.92% 6.23% 5.34% 5.90%
missFortune Miss Fortune
15.43 51.91% 8.07% 1.77% 7.93%
zilean Zilean
15.27 52.07% 7.37% 4.87% 7.01%
yorick Yorick
14.66 53.24% 4.53% 5.50% 4.28%
janna Janna
14.63 52.27% 6.43% 0.63% 6.39%
darius Darius
13.53 50.84% 16.16% 45.60% 8.79%
teemo Teemo
12.60 51.80% 7.01% 4.49% 6.70%
katarina Katarina
11.63 51.28% 9.09% 6.14% 8.53%
jhin Jhin
11.33 51.01% 11.21% 1.71% 11.02%
illaoi Illaoi
10.21 51.98% 5.15% 8.15% 4.73%
nunu Nunu
9.75 53.63% 2.69% 0.32% 2.68%
volibear Volibear
9.66 53.27% 2.96% 0.46% 2.95%
bard Bard
9.24 52.29% 4.03% 0.56% 4.01%
draven Draven
8.95 50.89% 10.09% 16.42% 8.43%
xayah Xayah
8.42 51.26% 6.67% 0.74% 6.62%
jax Jax
8.24 50.49% 16.82% 20.98% 13.29%
renekton Renekton
7.84 50.71% 11.12% 12.22% 9.76%
ziggs Ziggs
7.03 52.50% 2.82% 0.19% 2.81%
annie Annie
7.01 52.79% 2.51% 0.47% 2.50%
udyr Udyr
6.81 52.41% 2.83% 1.04% 2.80%
velkoz Velkoz
6.77 51.25% 5.40% 1.12% 5.34%
blitzcrank Blitzcrank
5.61 50.97% 5.77% 8.83% 5.26%
karthus Karthus
5.45 50.54% 10.04% 14.68% 8.57%
anivia Anivia
5.28 52.83% 1.87% 0.39% 1.86%
tristana Tristana
5.12 50.45% 11.39% 1.56% 11.21%
leona Leona
4.55 50.60% 7.59% 5.62% 7.16%
heimerdinger Heimerdinger
4.51 51.57% 2.87% 0.94% 2.84%
malphite Malphite
4.43 51.43% 3.10% 0.27% 3.09%
xerath Xerath
3.86 50.85% 4.52% 0.67% 4.49%
maokai Maokai
3.63 51.44% 2.52% 0.17% 2.52%
kennen Kennen
3.60 50.99% 3.61% 1.17% 3.57%
tryndamere Tryndamere
3.60 50.86% 4.21% 1.23% 4.16%
sion Sion
3.58 51.89% 1.89% 0.15% 1.89%
drMundo Dr. Mundo
3.51 51.77% 1.99% 0.68% 1.98%
kayle Kayle
3.30 50.68% 4.84% 6.18% 4.54%
taric Taric
3.25 51.33% 2.45% 0.31% 2.44%
shaco Shaco
3.24 50.39% 8.35% 7.57% 7.72%
chogath Cho'Gath
2.83 51.21% 2.35% 0.46% 2.34%
shen Shen
2.82 50.82% 3.45% 0.19% 3.44%
talon Talon
1.90 50.35% 5.41% 5.28% 5.12%
diana Diana
1.73 50.52% 3.35% 2.03% 3.28%
rumble Rumble
1.39 50.54% 2.58% 0.35% 2.57%
xinZhao Xin Zhao
1.30 50.22% 5.89% 1.57% 5.80%
quinn Quinn
1.04 50.48% 2.20% 0.70% 2.18%
skarner Skarner
1.04 50.83% 1.25% 0.21% 1.25%
poppy Poppy
0.96 50.33% 2.90% 0.35% 2.89%
swain Swain
0.82 50.43% 1.92% 0.17% 1.92%
pantheon Pantheon
0.81 50.14% 5.97% 2.52% 5.82%
aurelionSol Aurelionsol
0.73 51.28% 0.57% 0.27% 0.57%
twitch Twitch
0.70 50.11% 6.25% 1.23% 6.17%
singed Singed
0.64 50.45% 1.42% 0.19% 1.42%
kogMaw Kog'Maw
0.60 50.43% 1.39% 0.10% 1.39%
rakan Rakan
0.59 50.09% 6.56% 0.71% 6.51%
corki Corki
0.54 50.17% 3.12% 0.33% 3.11%
warwick Warwick
0.18 50.05% 3.54% 0.43% 3.52%
trundle Trundle
-0.03 49.99% 2.35% 0.35% 2.34%
shyvana Shyvana
-0.14 49.95% 2.53% 0.32% 2.52%
gangplank Gangplank
-0.19 49.97% 6.24% 1.76% 6.13%
monkeyKing Wukong
-0.20 49.93% 2.91% 0.30% 2.90%
ekko Ekko
-0.30 49.94% 4.78% 1.17% 4.72%
fiddlesticks Fiddlesticks
-0.46 49.89% 4.24% 2.07% 4.15%
kled Kled
-0.57 49.75% 2.24% 0.97% 2.22%
olaf Olaf
-0.75 49.71% 2.57% 0.40% 2.56%
aatrox Aatrox
-0.98 49.91% 11.19% 16.96% 9.29%
camille Camille
-0.98 49.72% 3.52% 1.42% 3.47%
fiora Fiora
-1.00 49.84% 6.37% 8.90% 5.80%
gnar Gnar
-1.60 49.68% 5.07% 1.17% 5.01%
nocturne Nocturne
-1.92 49.40% 3.19% 1.03% 3.16%
mordekaiser Mordekaiser
-1.99 48.15% 1.08% 0.30% 1.08%
tahmKench Tahm Kench
-1.99 49.41% 3.38% 1.35% 3.33%
karma Karma
-2.75 49.63% 7.44% 0.64% 7.39%
elise Elise
-2.80 49.31% 4.09% 0.74% 4.06%
cassiopeia Cassiopeia
-2.99 48.50% 1.99% 0.74% 1.98%
taliyah Taliyah
-3.34 47.64% 1.41% 0.12% 1.41%
viktor Viktor
-3.67 48.51% 2.46% 0.13% 2.46%
lulu Lulu
-3.99 49.65% 11.41% 8.32% 10.46%
lissandra Lissandra
-4.30 48.31% 2.54% 1.30% 2.51%
orianna Orianna
-4.69 49.20% 5.84% 0.56% 5.81%
zac Zac
-5.26 47.46% 2.08% 0.26% 2.07%
graves Graves
-5.68 48.87% 5.04% 0.50% 5.01%
kindred Kindred
-5.78 47.45% 2.27% 0.42% 2.26%
caitlyn Caitlyn
-5.93 49.70% 19.92% 12.81% 17.37%
ivern Ivern
-7.41 45.58% 1.68% 0.25% 1.68%
thresh Thresh
-7.50 49.61% 19.36% 12.78% 16.89%
nidalee Nidalee
-8.15 46.47% 2.30% 0.17% 2.30%
kalista Kalista
-8.21 44.45% 1.47% 0.21% 1.47%
vladimir Vladimir
-8.26 49.21% 10.38% 14.27% 8.90%
varus Varus
-8.34 48.65% 6.17% 0.43% 6.14%
alistar Alistar
-8.50 48.15% 4.59% 1.87% 4.50%
kassadin Kassadin
-9.86 47.58% 4.07% 1.79% 4.00%
evelynn Evelynn
-10.08 48.06% 5.20% 8.33% 4.77%
gragas Gragas
-12.06 45.07% 2.44% 0.15% 2.44%
azir Azir
-12.56 42.89% 1.76% 0.26% 1.76%
sejuani Sejuani
-12.84 48.25% 7.35% 1.87% 7.21%
syndra Syndra
-13.75 45.66% 3.17% 0.58% 3.15%
twistedFate Twisted Fate
-14.96 45.97% 3.71% 0.15% 3.70%
rekSai Rek'Sai
-15.08 44.95% 2.99% 2.34% 2.92%
braum Braum
-15.68 47.27% 5.74% 3.03% 5.57%
galio Galio
-18.47 45.14% 3.80% 0.55% 3.78%
vayne Vayne
-20.24 49.19% 25.07% 25.53% 18.67%
leblanc Leblanc
-21.22 46.66% 6.34% 9.50% 5.74%
jayce Jayce
-22.28 45.82% 5.33% 1.46% 5.25%
khazix Khazix
-23.44 48.01% 11.76% 6.29% 11.02%
zed Zed
-27.36 49.15% 32.18% 55.31% 14.38%
rengar Rengar
-28.21 45.67% 6.52% 3.35% 6.30%
riven Riven
-32.12 47.54% 13.09% 11.44% 11.59%
lucian Lucian
-35.22 46.98% 11.67% 4.08% 11.19%
irelia Irelia
-53.13 46.40% 14.77% 12.91% 12.86%
ryze Ryze
-56.66 43.25% 8.40% 1.49% 8.27%
leeSin Lee Sin
-64.15 47.47% 25.32% 17.27% 20.95%
yasuo Yasuo
-81.72 48.00% 40.86% 57.12% 17.52%
ezreal Ezreal
-90.13 47.51% 36.24% 14.09% 31.13%
akali Akali
-93.27 43.06% 13.44% 17.72% 11.06%

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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