Personalised Bans

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TOP GOLD BANS

jinx
#1 : JINX
Influence: 78
Win Rate: 53.66%
Pick Rate: 21.32%
jhin
#2 : JHIN
Influence: 49
Win Rate: 52.55%
Pick Rate: 19.32%
morgana
#3 : MORGANA
Influence: 49
Win Rate: 52.01%
Pick Rate: 24.17%
caitlyn
#4 : CAITLYN
Influence: 43
Win Rate: 51.41%
Pick Rate: 30.34%

nautilus
#5 : NAUTILUS (2)
Influence: 36
Win Rate: 52.26%
Pick Rate: 15.76%
ekko
#6 : EKKO (2)
Influence: 35
Win Rate: 52.46%
Pick Rate: 14.26%
ashe
#7 : ASHE (4)
Influence: 33
Win Rate: 53.00%
Pick Rate: 10.93%
drMundo
#8 : DR. MUNDO (1)
Influence: 32
Win Rate: 52.78%
Pick Rate: 11.46%

teemo
#9 : TEEMO (1)
Influence: 32
Win Rate: 52.95%
Pick Rate: 10.80%
fizz
#10 : FIZZ (5)
Influence: 31
Win Rate: 53.48%
Pick Rate: 9.01%
garen
#11 : GAREN (5)
Influence: 29
Win Rate: 52.98%
Pick Rate: 9.75%
leona
#12 : LEONA (2)
Influence: 27
Win Rate: 52.14%
Pick Rate: 12.76%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
jinx Jinx
77.98 53.66% 21.32% 7.47% 19.73%
jhin Jhin
49.26 52.55% 19.32% 3.62% 18.62%
morgana Morgana
48.52 52.01% 24.17% 43.08% 13.76%
caitlyn Caitlyn
42.62 51.41% 30.34% 18.15% 24.83%
nautilus Nautilus
35.66 52.26% 15.76% 17.90% 12.94%
ekko Ekko
35.10 52.46% 14.26% 6.87% 13.28%
ashe Ashe
32.79 53.00% 10.93% 1.18% 10.80%
drMundo Dr. Mundo
31.85 52.78% 11.46% 11.73% 10.12%
teemo Teemo
31.80 52.95% 10.80% 9.63% 9.76%
fizz Fizz
31.34 53.48% 9.01% 15.88% 7.58%
garen Garen
29.04 52.98% 9.75% 4.83% 9.28%
leona Leona
27.32 52.14% 12.76% 7.77% 11.77%
darius Darius
23.83 51.26% 18.99% 36.23% 12.11%
nami Nami
22.62 52.12% 10.70% 0.85% 10.61%
missFortune Miss Fortune
22.42 52.51% 8.95% 1.20% 8.84%
lux Lux
21.91 51.06% 20.67% 7.30% 19.16%
soraka Soraka
21.33 52.94% 7.27% 2.05% 7.12%
ahri Ahri
20.77 51.73% 11.99% 7.29% 11.12%
jax Jax
20.24 51.08% 18.70% 26.10% 13.82%
nunu Nunu
19.37 53.23% 6.01% 6.69% 5.61%
kayle Kayle
19.12 53.23% 5.93% 1.54% 5.84%
swain Swain
18.23 52.56% 7.13% 2.00% 6.99%
illaoi Illaoi
17.91 53.45% 5.20% 11.53% 4.60%
velkoz Velkoz
17.74 52.65% 6.70% 1.47% 6.60%
mordekaiser Mordekaiser
17.73 51.44% 12.36% 17.18% 10.24%
nasus Nasus
16.49 51.82% 9.09% 9.11% 8.26%
sona Sona
15.60 53.02% 5.17% 0.56% 5.14%
amumu Amumu
14.98 52.89% 5.18% 1.62% 5.10%
nocturne Nocturne
13.62 52.05% 6.65% 2.72% 6.47%
kled Kled
13.47 52.59% 5.20% 7.97% 4.79%
vi Vi
13.21 51.88% 7.04% 2.80% 6.84%
khazix Khazix
12.96 50.83% 15.57% 13.55% 13.46%
jarvanIV Jarvan IV
12.60 51.38% 9.11% 2.90% 8.85%
udyr Udyr
12.58 53.09% 4.08% 3.64% 3.93%
janna Janna
12.01 51.60% 7.50% 0.84% 7.44%
yasuo Yasuo
11.88 50.35% 34.19% 46.65% 18.24%
brand Brand
11.72 51.32% 8.89% 10.23% 7.98%
volibear Volibear
11.38 51.93% 5.92% 2.18% 5.79%
zyra Zyra
11.19 51.65% 6.77% 5.21% 6.42%
singed Singed
10.95 53.68% 2.98% 0.59% 2.96%
blitzcrank Blitzcrank
10.81 51.30% 8.34% 13.51% 7.21%
xerath Xerath
10.51 51.53% 6.90% 1.82% 6.77%
malzahar Malzahar
10.43 51.57% 6.65% 9.13% 6.04%
warwick Warwick
8.86 51.37% 6.47% 1.91% 6.35%
draven Draven
8.45 50.75% 11.34% 24.95% 8.51%
pantheon Pantheon
7.88 50.39% 20.20% 22.18% 15.72%
diana Diana
7.87 51.53% 5.15% 3.04% 4.99%
hecarim Hecarim
7.47 51.13% 6.60% 7.83% 6.08%
zilean Zilean
7.22 52.01% 3.60% 1.18% 3.56%
urgot Urgot
7.19 51.61% 4.46% 2.68% 4.34%
taric Taric
6.68 53.26% 2.05% 0.47% 2.04%
tryndamere Tryndamere
6.26 50.71% 8.82% 10.33% 7.91%
yorick Yorick
6.14 52.12% 2.90% 1.70% 2.85%
kennen Kennen
5.31 51.37% 3.88% 2.42% 3.79%
zed Zed
4.92 50.33% 14.82% 33.12% 9.91%
graves Graves
4.65 51.17% 3.96% 0.52% 3.94%
galio Galio
4.06 51.05% 3.87% 0.41% 3.85%
zac Zac
4.01 51.37% 2.92% 0.70% 2.90%
sion Sion
3.28 51.18% 2.79% 0.19% 2.78%
ziggs Ziggs
3.15 51.48% 2.13% 0.18% 2.13%
anivia Anivia
3.03 50.99% 3.06% 1.29% 3.02%
cassiopeia Cassiopeia
2.95 51.04% 2.84% 0.80% 2.82%
masterYi Master Yi
2.43 50.19% 12.61% 25.80% 9.36%
quinn Quinn
2.43 50.98% 2.48% 0.78% 2.46%
chogath Cho'Gath
2.36 50.48% 4.93% 1.13% 4.87%
heimerdinger Heimerdinger
2.16 51.06% 2.03% 0.68% 2.02%
kogMaw Kog'Maw
1.68 50.92% 1.83% 0.13% 1.83%
maokai Maokai
1.54 50.97% 1.59% 0.15% 1.59%
olaf Olaf
1.54 50.35% 4.38% 1.80% 4.30%
talon Talon
1.04 50.15% 6.82% 6.61% 6.37%
rumble Rumble
1.02 50.35% 2.90% 0.46% 2.89%
xinZhao Xin Zhao
0.94 50.22% 4.21% 1.10% 4.16%
taliyah Taliyah
0.64 50.40% 1.62% 0.12% 1.62%
syndra Syndra
0.43 50.09% 4.88% 1.40% 4.81%
shaco Shaco
0.41 50.11% 3.95% 2.18% 3.86%
monkeyKing Wukong
0.37 50.14% 2.69% 0.30% 2.68%
aurelionSol Aurelionsol
0.18 50.15% 1.19% 0.37% 1.19%
lissandra Lissandra
0.03 50.02% 1.74% 0.41% 1.73%
sivir Sivir
-0.17 49.97% 5.21% 2.77% 5.07%
rammus Rammus
-0.35 49.89% 3.30% 6.42% 3.09%
tristana Tristana
-0.63 49.94% 10.50% 1.94% 10.30%
poppy Poppy
-0.70 49.79% 3.32% 0.80% 3.29%
twitch Twitch
-0.75 49.89% 6.66% 1.80% 6.54%
katarina Katarina
-0.91 49.88% 7.78% 6.19% 7.30%
skarner Skarner
-1.17 48.85% 1.01% 0.19% 1.01%
veigar Veigar
-1.32 49.84% 8.12% 3.34% 7.85%
ivern Ivern
-1.98 47.87% 0.93% 0.32% 0.93%
karma Karma
-2.03 49.68% 6.39% 0.96% 6.33%
bard Bard
-2.15 49.51% 4.38% 0.53% 4.36%
shyvana Shyvana
-2.16 49.27% 2.94% 0.59% 2.92%
twistedFate Twisted Fate
-2.22 49.42% 3.83% 0.16% 3.82%
kassadin Kassadin
-2.27 49.63% 6.10% 5.86% 5.74%
shen Shen
-2.30 49.65% 6.48% 0.55% 6.44%
elise Elise
-2.48 49.49% 4.81% 2.80% 4.68%
lulu Lulu
-2.58 49.56% 5.90% 1.08% 5.84%
trundle Trundle
-3.33 48.15% 1.79% 0.20% 1.79%
fiora Fiora
-3.46 49.59% 8.43% 7.05% 7.84%
malphite Malphite
-3.58 49.78% 16.11% 14.27% 13.81%
kalista Kalista
-3.87 46.26% 1.03% 0.14% 1.03%
viktor Viktor
-4.75 47.22% 1.71% 0.16% 1.71%
karthus Karthus
-4.93 48.57% 3.44% 3.14% 3.33%
annie Annie
-5.22 48.64% 3.84% 1.48% 3.78%
camille Camille
-5.23 48.71% 4.06% 0.95% 4.02%
rengar Rengar
-5.27 49.34% 7.93% 8.78% 7.23%
jayce Jayce
-5.28 47.77% 2.37% 0.71% 2.35%
rakan Rakan
-5.61 49.47% 10.60% 2.03% 10.38%
fiddlesticks Fiddlesticks
-5.67 48.33% 3.40% 1.31% 3.36%
vayne Vayne
-6.83 49.52% 14.31% 7.68% 13.21%
varus Varus
-7.13 48.24% 4.05% 0.25% 4.04%
ryze Ryze
-7.51 48.58% 5.29% 0.83% 5.25%
kindred Kindred
-8.03 47.71% 3.50% 1.26% 3.46%
alistar Alistar
-8.08 47.74% 3.57% 1.24% 3.53%
corki Corki
-8.28 44.55% 1.52% 0.31% 1.52%
renekton Renekton
-8.30 49.21% 10.44% 11.85% 9.20%
rekSai Rek'Sai
-8.33 46.53% 2.40% 1.01% 2.38%
azir Azir
-8.64 45.19% 1.80% 0.58% 1.79%
gnar Gnar
-8.87 47.15% 3.11% 0.66% 3.09%
orianna Orianna
-9.66 47.55% 3.95% 0.33% 3.94%
xayah Xayah
-9.76 49.37% 15.44% 5.22% 14.63%
leblanc Leblanc
-10.74 48.05% 5.49% 5.68% 5.18%
tahmKench Tahm Kench
-10.95 43.14% 1.60% 1.21% 1.58%
thresh Thresh
-11.02 49.44% 19.51% 9.40% 17.68%
gangplank Gangplank
-12.32 47.75% 5.47% 1.39% 5.39%
braum Braum
-13.65 45.75% 3.21% 0.99% 3.18%
nidalee Nidalee
-14.50 45.65% 3.34% 0.50% 3.32%
vladimir Vladimir
-16.52 48.41% 10.38% 16.61% 8.66%
sejuani Sejuani
-18.19 44.12% 3.10% 1.18% 3.06%
gragas Gragas
-19.41 46.09% 4.97% 0.53% 4.94%
evelynn Evelynn
-25.12 47.11% 8.68% 22.78% 6.70%
lucian Lucian
-25.55 48.16% 13.87% 2.08% 13.58%
aatrox Aatrox
-26.84 43.28% 4.00% 11.72% 3.53%
riven Riven
-27.00 47.11% 9.34% 6.10% 8.77%
irelia Irelia
-34.40 45.29% 7.30% 4.98% 6.94%
leeSin Lee Sin
-36.55 47.46% 14.41% 6.86% 13.42%
akali Akali
-65.93 44.05% 11.08% 24.02% 8.42%
ezreal Ezreal
-70.59 46.29% 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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