Personalised Bans

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TOP GOLD BANS

janna
#1 : JANNA
Influence: 70
Win Rate: 53.44%
Pick Rate: 20.32%
hecarim
#2 : HECARIM
Influence: 55
Win Rate: 52.69%
Pick Rate: 20.43%
jayce
#3 : JAYCE (5)
Influence: 38
Win Rate: 53.30%
Pick Rate: 11.50%
khazix
#4 : KHAZIX (6)
Influence: 32
Win Rate: 51.15%
Pick Rate: 28.29%

draven
#5 : DRAVEN (1)
Influence: 32
Win Rate: 52.69%
Pick Rate: 11.85%
zyra
#6 : ZYRA (1)
Influence: 31
Win Rate: 54.11%
Pick Rate: 7.63%
lux
#7 : LUX (14)
Influence: 28
Win Rate: 51.65%
Pick Rate: 16.95%
amumu
#8 : AMUMU (1)
Influence: 26
Win Rate: 53.78%
Pick Rate: 6.90%

vi
#9 : VI (2)
Influence: 25
Win Rate: 52.10%
Pick Rate: 12.12%
malphite
#10 : MALPHITE (5)
Influence: 23
Win Rate: 52.42%
Pick Rate: 9.37%
jinx
#11 : JINX (5)
Influence: 22
Win Rate: 50.97%
Pick Rate: 22.84%
ziggs
#12 : ZIGGS (1)
Influence: 22
Win Rate: 53.08%
Pick Rate: 7.04%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
69.93 53.44% 20.32% 1.66% 19.98%
hecarim Hecarim
54.94 52.69% 20.43% 18.44% 16.66%
jayce Jayce
37.94 53.30% 11.50% 5.86% 10.83%
khazix Khazix
32.39 51.15% 28.29% 23.25% 21.71%
draven Draven
31.91 52.69% 11.85% 3.99% 11.38%
zyra Zyra
31.37 54.11% 7.63% 1.37% 7.53%
lux Lux
28.01 51.65% 16.95% 1.09% 16.77%
amumu Amumu
26.03 53.78% 6.90% 1.10% 6.82%
vi Vi
25.39 52.10% 12.12% 1.90% 11.89%
malphite Malphite
22.60 52.42% 9.37% 1.02% 9.27%
jinx Jinx
22.21 50.97% 22.84% 0.91% 22.63%
ziggs Ziggs
21.64 53.08% 7.04% 1.40% 6.94%
annie Annie
21.33 52.38% 8.97% 3.54% 8.65%
velkoz Velkoz
19.95 53.21% 6.22% 0.59% 6.18%
nami Nami
18.79 52.43% 7.74% 0.03% 7.74%
ahri Ahri
10.62 50.82% 12.98% 1.18% 12.83%
xerath Xerath
8.74 52.91% 3.01% 0.18% 3.00%
kayle Kayle
8.29 53.34% 2.48% 0.06% 2.48%
sejuani Sejuani
8.02 51.86% 4.32% 0.15% 4.31%
pantheon Pantheon
6.92 51.58% 4.40% 0.60% 4.37%
brand Brand
6.85 50.89% 7.67% 2.64% 7.47%
fiora Fiora
6.42 50.44% 14.60% 14.66% 12.46%
blitzcrank Blitzcrank
6.22 50.54% 11.63% 6.24% 10.90%
twitch Twitch
6.03 50.55% 11.01% 1.89% 10.80%
sion Sion
5.98 53.37% 1.77% 0.04% 1.77%
quinn Quinn
5.82 51.32% 4.41% 0.67% 4.38%
swain Swain
5.72 52.05% 2.78% 0.49% 2.77%
evelynn Evelynn
5.61 51.57% 3.56% 0.65% 3.54%
karthus Karthus
4.10 54.36% 0.94% 0.02% 0.94%
garen Garen
3.63 50.52% 7.06% 4.41% 6.75%
skarner Skarner
2.49 53.17% 0.79% 0.03% 0.79%
rammus Rammus
2.14 50.48% 4.50% 0.52% 4.48%
kassadin Kassadin
1.95 50.85% 2.28% 0.15% 2.28%
urgot Urgot
1.60 51.90% 0.84% 0.18% 0.84%
sona Sona
1.33 50.24% 5.54% 0.08% 5.54%
kogMaw Kog'Maw
1.12 51.92% 0.58% 0.18% 0.58%
illaoi Illaoi
-0.28 49.93% 3.89% 6.89% 3.62%
chogath Cho'Gath
-0.35 49.85% 2.36% 0.30% 2.35%
lulu Lulu
-0.46 49.93% 6.60% 0.06% 6.60%
fiddlesticks Fiddlesticks
-0.47 49.75% 1.89% 0.16% 1.89%
rumble Rumble
-0.67 49.82% 3.65% 0.22% 3.64%
graves Graves
-0.75 49.88% 6.40% 0.26% 6.38%
anivia Anivia
-1.05 49.46% 1.94% 0.21% 1.94%
volibear Volibear
-1.46 49.57% 3.38% 0.24% 3.37%
yorick Yorick
-1.89 48.54% 1.29% 0.15% 1.29%
galio Galio
-2.10 47.57% 0.86% 0.09% 0.86%
heimerdinger Heimerdinger
-2.58 47.04% 0.87% 0.13% 0.87%
xinZhao Xin Zhao
-2.61 49.72% 9.40% 1.22% 9.29%
nasus Nasus
-2.67 49.53% 5.68% 0.71% 5.64%
aurelionSol Aurelionsol
-2.80 45.59% 0.63% 0.25% 0.63%
ekko Ekko
-3.40 49.61% 8.60% 1.75% 8.45%
aatrox Aatrox
-3.42 44.93% 0.67% 0.26% 0.67%
malzahar Malzahar
-3.44 49.53% 7.32% 3.90% 7.03%
jarvanIV Jarvan IV
-3.86 49.27% 5.25% 0.12% 5.24%
monkeyKing Wukong
-4.22 48.80% 3.52% 0.19% 3.51%
kindred Kindred
-4.44 44.97% 0.88% 0.07% 0.88%
kled Kled
-4.61 47.11% 1.60% 0.38% 1.59%
kennen Kennen
-4.76 48.89% 4.27% 1.72% 4.20%
mordekaiser Mordekaiser
-4.83 45.99% 1.21% 0.07% 1.21%
darius Darius
-5.32 49.76% 22.18% 57.44% 9.44%
taric Taric
-5.48 48.35% 3.31% 0.02% 3.31%
tristana Tristana
-5.91 49.10% 6.52% 0.05% 6.52%
udyr Udyr
-6.03 46.15% 1.57% 0.02% 1.57%
nunu Nunu
-6.22 42.27% 0.81% 0.02% 0.81%
ashe Ashe
-6.27 49.30% 8.90% 0.21% 8.88%
ivern Ivern
-6.30 46.91% 2.04% 0.57% 2.03%
nocturne Nocturne
-6.61 48.55% 4.56% 0.32% 4.55%
shyvana Shyvana
-6.73 48.36% 4.09% 0.33% 4.08%
zac Zac
-6.74 49.12% 7.69% 3.58% 7.41%
warwick Warwick
-6.91 45.20% 1.44% 0.05% 1.44%
soraka Soraka
-7.34 49.01% 7.42% 0.95% 7.35%
varus Varus
-7.40 48.89% 6.68% 0.04% 6.68%
nautilus Nautilus
-7.50 49.08% 8.17% 0.48% 8.13%
missFortune Miss Fortune
-7.68 49.26% 10.41% 0.23% 10.39%
renekton Renekton
-8.01 47.85% 3.73% 0.46% 3.71%
katarina Katarina
-8.73 49.34% 13.13% 28.63% 9.37%
morgana Morgana
-8.76 49.53% 18.45% 3.63% 17.78%
shen Shen
-9.61 47.28% 3.54% 0.19% 3.53%
singed Singed
-9.87 46.39% 2.73% 0.18% 2.73%
teemo Teemo
-10.88 48.71% 8.43% 2.38% 8.23%
azir Azir
-10.96 45.61% 2.50% 0.46% 2.49%
talon Talon
-11.02 46.47% 3.13% 0.86% 3.10%
rekSai Rek'Sai
-11.03 46.14% 2.85% 0.07% 2.85%
taliyah Taliyah
-11.12 44.07% 1.87% 0.18% 1.87%
trundle Trundle
-11.20 46.99% 3.72% 0.30% 3.71%
tahmKench Tahm Kench
-11.28 46.03% 2.84% 0.35% 2.83%
masterYi Master Yi
-11.34 48.01% 5.70% 0.42% 5.68%
irelia Irelia
-11.95 48.87% 10.53% 12.04% 9.26%
lissandra Lissandra
-12.36 47.04% 4.17% 0.23% 4.16%
syndra Syndra
-12.40 49.10% 13.74% 30.59% 9.54%
drMundo Dr. Mundo
-12.54 41.52% 1.48% 0.29% 1.48%
sivir Sivir
-12.76 46.35% 3.49% 0.06% 3.49%
gnar Gnar
-13.03 44.83% 2.52% 0.19% 2.52%
tryndamere Tryndamere
-13.14 47.11% 4.54% 0.51% 4.52%
zilean Zilean
-13.58 44.63% 2.53% 0.10% 2.53%
maokai Maokai
-13.81 47.81% 6.30% 0.40% 6.27%
leblanc Leblanc
-14.47 48.79% 11.96% 27.25% 8.70%
akali Akali
-15.90 44.78% 3.04% 0.79% 3.02%
corki Corki
-16.77 47.18% 5.95% 1.01% 5.89%
rengar Rengar
-16.88 48.91% 15.42% 21.02% 12.18%
olaf Olaf
-17.00 46.15% 4.42% 0.46% 4.40%
nidalee Nidalee
-17.33 41.58% 2.06% 0.03% 2.06%
diana Diana
-19.76 46.50% 5.65% 2.43% 5.51%
shaco Shaco
-20.85 45.91% 5.09% 0.97% 5.04%
jax Jax
-21.15 47.00% 7.06% 0.66% 7.01%
cassiopeia Cassiopeia
-21.49 45.42% 4.69% 1.93% 4.60%
gragas Gragas
-22.04 44.50% 4.00% 0.07% 4.00%
orianna Orianna
-22.69 48.10% 11.96% 1.69% 11.76%
vladimir Vladimir
-23.22 40.05% 2.34% 0.33% 2.33%
fizz Fizz
-24.00 48.03% 12.18% 25.31% 9.10%
braum Braum
-25.03 47.95% 12.22% 2.40% 11.93%
karma Karma
-25.15 47.65% 10.70% 0.26% 10.67%
viktor Viktor
-26.24 45.78% 6.21% 0.62% 6.17%
elise Elise
-26.79 42.95% 3.80% 0.31% 3.79%
camille Camille
-27.07 47.30% 10.01% 55.73% 4.43%
leona Leona
-27.88 47.28% 10.25% 0.76% 10.17%
zed Zed
-29.44 48.71% 22.78% 37.80% 14.17%
caitlyn Caitlyn
-30.35 48.86% 26.69% 5.66% 25.18%
kalista Kalista
-32.26 45.91% 7.89% 0.80% 7.83%
veigar Veigar
-34.36 46.97% 11.34% 4.71% 10.81%
gangplank Gangplank
-35.40 44.63% 6.59% 0.62% 6.55%
jhin Jhin
-36.06 47.78% 16.25% 0.78% 16.12%
twistedFate Twisted Fate
-36.46 41.93% 4.51% 0.07% 4.51%
poppy Poppy
-37.31 47.37% 14.19% 8.78% 12.94%
bard Bard
-40.12 40.24% 4.11% 0.22% 4.10%
alistar Alistar
-45.17 43.07% 6.52% 0.48% 6.49%
ezreal Ezreal
-72.22 46.47% 20.46% 0.45% 20.37%
vayne Vayne
-79.23 48.55% 54.45% 41.78% 31.70%
thresh Thresh
-79.95 47.68% 34.47% 1.59% 33.92%
riven Riven
-88.12 46.84% 27.89% 7.09% 25.91%
ryze Ryze
-88.49 42.10% 11.19% 2.60% 10.90%
yasuo Yasuo
-95.25 48.22% 53.45% 65.50% 18.44%
lucian Lucian
-127.65 44.21% 22.05% 0.50% 21.94%
leeSin Lee Sin
-165.66 45.82% 39.62% 9.81% 35.73%

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.

For the time being this section isn't going to be updated. Hopefully we can get back to you with writeups in the near future.

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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