Personalised Bans

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TOP GOLD BANS

janna
#1 : JANNA
Influence: 316
Win Rate: 58.84%
Pick Rate: 35.70%
twitch
#2 : TWITCH
Influence: 112
Win Rate: 53.71%
Pick Rate: 30.15%
chogath
#3 : CHO'GATH
Influence: 88
Win Rate: 54.26%
Pick Rate: 20.65%
tristana
#4 : TRISTANA (1)
Influence: 66
Win Rate: 51.90%
Pick Rate: 34.86%

jax
#5 : JAX (5)
Influence: 55
Win Rate: 52.62%
Pick Rate: 20.99%
malzahar
#6 : MALZAHAR (1)
Influence: 49
Win Rate: 55.09%
Pick Rate: 9.71%
anivia
#7 : ANIVIA (9)
Influence: 44
Win Rate: 58.33%
Pick Rate: 5.27%
draven
#8 : DRAVEN
Influence: 44
Win Rate: 52.96%
Pick Rate: 14.72%

amumu
#9 : AMUMU
Influence: 41
Win Rate: 58.45%
Pick Rate: 4.85%
jinx
#10 : JINX (3)
Influence: 39
Win Rate: 52.82%
Pick Rate: 13.96%
soraka
#11 : SORAKA (7)
Influence: 39
Win Rate: 53.35%
Pick Rate: 11.51%
rammus
#12 : RAMMUS (3)
Influence: 36
Win Rate: 55.94%
Pick Rate: 6.08%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
315.51 58.84% 35.70% 25.80% 26.49%
twitch Twitch
111.97 53.71% 30.15% 24.04% 22.90%
chogath Cho'Gath
88.01 54.26% 20.65% 58.30% 8.61%
tristana Tristana
66.32 51.90% 34.86% 12.45% 30.52%
jax Jax
54.99 52.62% 20.99% 18.47% 17.11%
malzahar Malzahar
49.48 55.09% 9.71% 9.71% 8.77%
anivia Anivia
43.91 58.33% 5.27% 4.55% 5.03%
draven Draven
43.59 52.96% 14.72% 35.40% 9.51%
amumu Amumu
40.93 58.45% 4.85% 1.17% 4.79%
jinx Jinx
39.44 52.82% 13.96% 0.71% 13.86%
soraka Soraka
38.62 53.35% 11.51% 5.21% 10.91%
rammus Rammus
36.09 55.94% 6.08% 3.83% 5.85%
tryndamere Tryndamere
35.18 54.73% 7.45% 7.48% 6.89%
fizz Fizz
34.52 53.20% 10.77% 27.03% 7.86%
vayne Vayne
33.74 51.22% 27.66% 13.52% 23.92%
sona Sona
28.41 52.50% 11.39% 1.24% 11.25%
twistedFate Twisted Fate
28.27 52.53% 11.16% 1.91% 10.95%
nocturne Nocturne
26.76 57.13% 3.75% 0.54% 3.73%
missFortune Miss Fortune
26.71 53.03% 8.81% 0.87% 8.73%
shaco Shaco
26.51 57.34% 3.62% 2.09% 3.54%
sivir Sivir
25.88 53.20% 8.09% 0.53% 8.05%
annie Annie
24.81 52.98% 8.32% 6.51% 7.78%
talon Talon
23.79 54.84% 4.91% 3.90% 4.72%
kennen Kennen
23.65 57.64% 3.10% 0.91% 3.07%
sejuani Sejuani
20.85 52.67% 7.82% 8.85% 7.13%
karthus Karthus
20.68 61.76% 1.76% 0.23% 1.76%
warwick Warwick
20.45 51.88% 10.87% 10.05% 9.78%
vi Vi
20.40 53.89% 5.25% 0.88% 5.20%
blitzcrank Blitzcrank
19.55 50.91% 21.48% 40.40% 12.80%
veigar Veigar
19.50 52.55% 7.64% 1.90% 7.49%
kogMaw Kog'Maw
19.38 52.20% 8.81% 4.91% 8.38%
maokai Maokai
19.18 51.07% 17.88% 31.95% 12.17%
yasuo Yasuo
17.45 50.79% 22.08% 41.53% 12.91%
swain Swain
17.40 55.65% 3.08% 0.90% 3.05%
lux Lux
17.32 51.46% 11.90% 1.27% 11.75%
malphite Malphite
16.90 52.18% 7.77% 2.68% 7.56%
ahri Ahri
16.88 51.29% 13.11% 6.67% 12.24%
rakan Rakan
16.29 51.92% 8.49% 2.44% 8.28%
xerath Xerath
15.77 55.71% 2.76% 0.32% 2.75%
akali Akali
15.22 53.19% 4.78% 7.46% 4.42%
shen Shen
15.13 52.89% 5.23% 0.60% 5.20%
camille Camille
13.52 53.96% 3.41% 3.04% 3.31%
yorick Yorick
13.18 55.01% 2.64% 0.95% 2.61%
kled Kled
12.77 55.04% 2.53% 1.59% 2.49%
quinn Quinn
12.38 56.01% 2.06% 0.42% 2.05%
olaf Olaf
12.21 53.82% 3.19% 0.73% 3.17%
teemo Teemo
11.84 51.53% 7.75% 5.95% 7.29%
ziggs Ziggs
10.92 52.45% 4.46% 0.46% 4.44%
xayah Xayah
9.86 51.06% 9.33% 4.07% 8.95%
sion Sion
9.75 52.20% 4.43% 0.47% 4.41%
alistar Alistar
9.50 51.33% 7.15% 2.54% 6.97%
singed Singed
9.04 53.10% 2.91% 1.20% 2.88%
bard Bard
8.09 51.47% 5.50% 0.81% 5.46%
xinZhao Xin Zhao
7.18 50.99% 7.26% 1.62% 7.14%
irelia Irelia
6.79 51.23% 5.53% 1.78% 5.43%
zilean Zilean
6.74 52.75% 2.44% 0.51% 2.43%
taliyah Taliyah
6.59 51.20% 5.50% 1.34% 5.43%
khazix Khazix
6.54 50.64% 10.13% 6.61% 9.46%
ekko Ekko
6.42 50.70% 9.17% 4.08% 8.80%
katarina Katarina
6.13 51.04% 5.93% 10.26% 5.32%
drMundo Dr. Mundo
5.92 51.43% 4.16% 1.37% 4.10%
gangplank Gangplank
5.89 50.81% 7.28% 2.31% 7.11%
ryze Ryze
5.80 52.83% 2.04% 0.21% 2.04%
heimerdinger Heimerdinger
4.11 52.12% 1.94% 0.56% 1.93%
udyr Udyr
4.10 52.68% 1.53% 0.26% 1.53%
gnar Gnar
3.57 50.74% 4.85% 1.18% 4.79%
pantheon Pantheon
2.77 50.35% 7.93% 12.34% 6.95%
ivern Ivern
2.57 52.64% 0.97% 0.49% 0.97%
darius Darius
2.49 50.17% 14.64% 35.91% 9.38%
diana Diana
1.96 50.39% 5.05% 2.45% 4.93%
volibear Volibear
1.52 50.89% 1.71% 0.24% 1.71%
evelynn Evelynn
1.02 50.16% 6.28% 16.53% 5.24%
shyvana Shyvana
0.41 50.09% 4.54% 0.44% 4.52%
nami Nami
0.11 50.01% 8.62% 0.34% 8.59%
graves Graves
0.09 50.02% 4.53% 0.86% 4.49%
mordekaiser Mordekaiser
-0.65 49.54% 1.40% 0.37% 1.39%
braum Braum
-1.37 49.82% 7.49% 3.22% 7.25%
vladimir Vladimir
-2.21 49.77% 9.83% 16.89% 8.17%
skarner Skarner
-2.58 47.92% 1.24% 0.15% 1.24%
kindred Kindred
-2.79 47.94% 1.35% 0.21% 1.35%
kayle Kayle
-2.90 49.36% 4.50% 1.29% 4.44%
hecarim Hecarim
-3.73 49.05% 3.94% 1.06% 3.90%
aatrox Aatrox
-3.93 46.01% 0.99% 1.86% 0.97%
garen Garen
-3.98 49.41% 6.71% 2.74% 6.53%
velkoz Velkoz
-4.02 49.13% 4.64% 0.34% 4.62%
azir Azir
-4.08 48.24% 2.33% 0.65% 2.31%
corki Corki
-4.35 49.15% 5.15% 1.56% 5.07%
nunu Nunu
-5.40 47.95% 2.63% 0.45% 2.62%
lissandra Lissandra
-5.81 47.03% 1.96% 0.38% 1.95%
zyra Zyra
-5.86 48.53% 4.00% 1.95% 3.92%
urgot Urgot
-6.09 48.53% 4.14% 8.11% 3.80%
jarvanIV Jarvan IV
-6.11 49.69% 19.87% 8.44% 18.19%
taric Taric
-6.62 48.23% 3.74% 0.63% 3.72%
elise Elise
-7.97 48.57% 5.57% 4.93% 5.30%
syndra Syndra
-8.34 48.84% 7.22% 5.16% 6.85%
varus Varus
-8.39 48.42% 5.30% 0.26% 5.29%
aurelionSol Aurelionsol
-8.64 44.47% 1.56% 0.76% 1.55%
kassadin Kassadin
-9.68 48.95% 9.22% 16.03% 7.74%
nautilus Nautilus
-10.74 47.36% 4.07% 0.36% 4.06%
fiddlesticks Fiddlesticks
-10.81 46.70% 3.27% 0.72% 3.25%
jayce Jayce
-12.02 47.84% 5.57% 3.28% 5.39%
rekSai Rek'Sai
-12.48 46.84% 3.96% 1.46% 3.90%
rumble Rumble
-12.70 47.16% 4.47% 0.85% 4.43%
rengar Rengar
-12.79 45.41% 2.79% 0.67% 2.77%
illaoi Illaoi
-13.27 45.59% 3.01% 2.86% 2.92%
tahmKench Tahm Kench
-13.39 44.76% 2.55% 0.87% 2.53%
lulu Lulu
-14.13 49.26% 19.09% 11.58% 16.88%
cassiopeia Cassiopeia
-15.71 46.13% 4.06% 1.98% 3.98%
poppy Poppy
-15.74 44.08% 2.66% 0.14% 2.66%
leblanc Leblanc
-15.76 46.20% 4.14% 5.91% 3.90%
trundle Trundle
-15.83 45.96% 3.91% 0.63% 3.89%
riven Riven
-16.84 48.93% 15.77% 7.80% 14.54%
renekton Renekton
-17.52 48.35% 10.61% 5.91% 9.98%
monkeyKing Wukong
-19.17 46.07% 4.88% 1.08% 4.83%
fiora Fiora
-20.34 47.15% 7.16% 16.72% 5.96%
zed Zed
-24.33 48.59% 17.22% 39.68% 10.39%
brand Brand
-24.62 47.62% 10.37% 6.05% 9.74%
galio Galio
-27.36 44.61% 5.08% 3.67% 4.89%
ezreal Ezreal
-27.70 46.52% 7.95% 0.85% 7.88%
karma Karma
-28.23 45.48% 6.25% 0.32% 6.23%
morgana Morgana
-30.06 47.33% 11.26% 5.54% 10.64%
masterYi Master Yi
-30.35 47.85% 14.08% 25.91% 10.43%
viktor Viktor
-30.45 43.91% 5.00% 0.62% 4.97%
kalista Kalista
-30.46 44.05% 5.11% 0.68% 5.08%
nidalee Nidalee
-32.79 39.60% 3.15% 0.35% 3.14%
jhin Jhin
-33.84 47.47% 13.40% 1.78% 13.16%
leona Leona
-41.13 44.56% 7.56% 1.88% 7.42%
nasus Nasus
-41.13 46.80% 12.85% 19.75% 10.31%
zac Zac
-44.27 42.28% 5.73% 28.81% 4.08%
caitlyn Caitlyn
-44.66 47.28% 16.41% 17.59% 13.52%
ashe Ashe
-44.90 45.70% 10.45% 0.68% 10.38%
gragas Gragas
-45.91 45.90% 11.19% 2.68% 10.89%
lucian Lucian
-59.23 46.83% 18.65% 2.91% 18.11%
orianna Orianna
-60.56 45.71% 14.11% 5.86% 13.28%
leeSin Lee Sin
-91.80 45.77% 21.71% 13.22% 18.84%
thresh Thresh
-110.78 45.89% 26.99% 13.04% 23.47%

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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