Personalised Bans

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TOP SILVER BANS

zyra
#1 : ZYRA (2)
Influence: 44
Win Rate: 52.86%
Pick Rate: 15.54%
sona
#2 : SONA
Influence: 40
Win Rate: 53.66%
Pick Rate: 10.93%
yasuo
#3 : YASUO (10)
Influence: 36
Win Rate: 51.01%
Pick Rate: 35.33%
annie
#4 : ANNIE
Influence: 34
Win Rate: 54.18%
Pick Rate: 8.24%

janna
#5 : JANNA (4)
Influence: 34
Win Rate: 52.28%
Pick Rate: 14.69%
malphite
#6 : MALPHITE (10)
Influence: 28
Win Rate: 52.86%
Pick Rate: 9.65%
twitch
#7 : TWITCH (1)
Influence: 27
Win Rate: 52.29%
Pick Rate: 11.97%
jayce
#8 : JAYCE (12)
Influence: 26
Win Rate: 52.87%
Pick Rate: 9.10%

vi
#9 : VI (1)
Influence: 25
Win Rate: 51.58%
Pick Rate: 16.08%
shaco
#10 : SHACO (4)
Influence: 22
Win Rate: 51.98%
Pick Rate: 11.04%
varus
#11 : VARUS (6)
Influence: 21
Win Rate: 51.94%
Pick Rate: 10.80%
nocturne
#12 : NOCTURNE (3)
Influence: 19
Win Rate: 52.17%
Pick Rate: 8.96%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
zyra Zyra
44.34 52.86% 15.54% 8.03% 14.29%
sona Sona
39.99 53.66% 10.93% 0.50% 10.88%
yasuo Yasuo
35.51 51.01% 35.33% 57.85% 14.89%
annie Annie
34.42 54.18% 8.24% 1.64% 8.10%
janna Janna
33.53 52.28% 14.69% 0.39% 14.63%
malphite Malphite
27.59 52.86% 9.65% 2.29% 9.43%
twitch Twitch
27.42 52.29% 11.97% 3.81% 11.51%
jayce Jayce
26.09 52.87% 9.10% 4.75% 8.67%
vi Vi
25.37 51.58% 16.08% 13.12% 13.97%
shaco Shaco
21.81 51.98% 11.04% 8.91% 10.06%
varus Varus
20.95 51.94% 10.80% 0.31% 10.77%
nocturne Nocturne
19.46 52.17% 8.96% 1.96% 8.78%
blitzcrank Blitzcrank
19.44 51.71% 11.41% 14.95% 9.70%
xinZhao Xin Zhao
18.41 52.01% 9.19% 2.82% 8.93%
leona Leona
17.52 51.47% 11.92% 2.34% 11.64%
brand Brand
14.99 50.80% 18.73% 23.19% 14.39%
velkoz Velkoz
14.03 51.87% 7.49% 2.15% 7.33%
swain Swain
13.28 52.77% 4.81% 0.79% 4.77%
garen Garen
11.39 51.37% 8.33% 1.95% 8.17%
sion Sion
10.68 52.24% 4.77% 0.09% 4.77%
amumu Amumu
10.01 51.42% 7.08% 1.93% 6.94%
ziggs Ziggs
8.89 50.77% 11.54% 2.58% 11.24%
tryndamere Tryndamere
8.66 51.04% 8.35% 2.73% 8.12%
irelia Irelia
5.77 50.79% 7.31% 2.63% 7.12%
kled Kled
5.45 52.09% 2.62% 1.12% 2.59%
zilean Zilean
5.11 51.41% 3.62% 0.15% 3.61%
jax Jax
5.04 50.47% 10.84% 3.08% 10.51%
shyvana Shyvana
3.87 50.47% 8.25% 4.57% 7.87%
olaf Olaf
3.56 50.72% 4.98% 1.24% 4.92%
udyr Udyr
3.01 50.98% 3.08% 0.18% 3.07%
hecarim Hecarim
2.23 50.12% 18.99% 40.22% 11.35%
yorick Yorick
0.61 50.16% 3.85% 0.88% 3.82%
lux Lux
0.48 50.02% 24.04% 3.93% 23.10%
pantheon Pantheon
0.26 50.04% 7.01% 2.59% 6.83%
missFortune Miss Fortune
-0.35 49.98% 17.71% 0.99% 17.53%
talon Talon
-0.36 49.92% 4.37% 1.81% 4.29%
xerath Xerath
-0.87 49.84% 5.25% 0.39% 5.23%
kayle Kayle
-1.21 49.66% 3.56% 0.30% 3.55%
evelynn Evelynn
-1.71 49.83% 9.77% 13.65% 8.44%
graves Graves
-1.96 49.65% 5.53% 0.38% 5.51%
jarvanIV Jarvan IV
-1.98 49.63% 5.32% 0.36% 5.30%
monkeyKing Wukong
-2.23 49.64% 6.11% 1.13% 6.04%
kogMaw Kog'Maw
-2.28 48.70% 1.76% 0.09% 1.76%
rumble Rumble
-2.32 49.22% 2.97% 0.15% 2.97%
singed Singed
-2.37 49.28% 3.29% 0.53% 3.27%
skarner Skarner
-2.44 48.56% 1.69% 0.09% 1.69%
kalista Kalista
-3.13 49.13% 3.60% 0.26% 3.59%
twistedFate Twisted Fate
-3.55 49.16% 4.21% 0.13% 4.20%
rammus Rammus
-3.84 48.92% 3.56% 0.41% 3.55%
quinn Quinn
-4.39 48.98% 4.31% 0.47% 4.29%
renekton Renekton
-4.59 49.27% 6.29% 0.75% 6.24%
volibear Volibear
-4.65 48.74% 3.69% 1.29% 3.64%
galio Galio
-4.71 46.75% 1.45% 0.25% 1.45%
heimerdinger Heimerdinger
-4.83 47.48% 1.91% 0.25% 1.91%
soraka Soraka
-5.10 49.55% 11.20% 4.12% 10.74%
morgana Morgana
-5.10 49.67% 15.22% 3.40% 14.70%
diana Diana
-5.11 48.92% 4.71% 0.93% 4.67%
warwick Warwick
-5.19 48.35% 3.15% 0.39% 3.14%
urgot Urgot
-5.24 45.02% 1.05% 0.34% 1.05%
aurelionSol Aurelionsol
-5.75 45.60% 1.30% 0.18% 1.30%
corki Corki
-5.88 48.59% 4.17% 0.16% 4.16%
draven Draven
-7.10 48.95% 6.78% 1.23% 6.70%
drMundo Dr. Mundo
-7.19 47.24% 2.61% 0.26% 2.60%
mordekaiser Mordekaiser
-8.16 45.16% 1.68% 0.07% 1.68%
masterYi Master Yi
-8.23 49.09% 9.02% 2.41% 8.80%
kindred Kindred
-8.30 45.85% 2.00% 0.06% 2.00%
darius Darius
-8.50 49.56% 19.44% 34.40% 12.75%
nami Nami
-8.62 49.44% 15.26% 0.23% 15.22%
ivern Ivern
-8.84 46.24% 2.36% 0.73% 2.34%
trundle Trundle
-8.96 47.55% 3.65% 0.29% 3.64%
aatrox Aatrox
-9.91 46.98% 3.29% 0.54% 3.27%
karthus Karthus
-9.94 42.54% 1.33% 0.09% 1.33%
sejuani Sejuani
-10.64 47.39% 4.08% 0.14% 4.07%
katarina Katarina
-11.00 49.44% 19.65% 50.43% 9.74%
cassiopeia Cassiopeia
-11.01 46.09% 2.82% 0.27% 2.81%
fiddlesticks Fiddlesticks
-11.73 44.56% 2.16% 0.06% 2.16%
ekko Ekko
-12.27 48.64% 8.99% 2.41% 8.77%
kassadin Kassadin
-12.43 46.83% 3.92% 0.27% 3.91%
riven Riven
-13.58 48.69% 10.37% 1.78% 10.19%
lissandra Lissandra
-13.64 43.55% 2.11% 0.15% 2.11%
chogath Cho'Gath
-14.19 43.69% 2.25% 0.11% 2.25%
khazix Khazix
-14.21 48.93% 13.25% 11.39% 11.74%
nunu Nunu
-14.44 36.90% 1.10% 0.17% 1.10%
anivia Anivia
-14.56 45.12% 2.98% 0.35% 2.97%
ahri Ahri
-14.88 48.87% 13.16% 2.60% 12.82%
nidalee Nidalee
-15.69 39.68% 1.52% 0.11% 1.52%
taliyah Taliyah
-15.75 43.37% 2.37% 0.10% 2.37%
syndra Syndra
-15.96 48.43% 10.19% 16.09% 8.55%
gragas Gragas
-16.52 42.30% 2.14% 0.18% 2.14%
kennen Kennen
-16.85 45.72% 3.93% 0.87% 3.90%
rekSai Rek'Sai
-16.99 40.44% 1.78% 0.00% 1.78%
bard Bard
-17.06 44.99% 3.41% 0.32% 3.40%
akali Akali
-17.38 45.80% 4.14% 1.50% 4.08%
fizz Fizz
-17.67 47.46% 6.96% 6.40% 6.51%
alistar Alistar
-18.13 45.96% 4.49% 0.37% 4.47%
gnar Gnar
-18.22 43.90% 2.98% 0.48% 2.97%
sivir Sivir
-18.26 46.42% 5.10% 0.04% 5.10%
vladimir Vladimir
-18.61 43.44% 2.84% 1.41% 2.80%
ashe Ashe
-18.72 48.28% 10.85% 0.12% 10.84%
zac Zac
-19.61 47.21% 7.04% 11.48% 6.23%
jinx Jinx
-19.94 49.04% 20.77% 1.34% 20.49%
taric Taric
-20.09 45.91% 4.91% 0.09% 4.91%
nasus Nasus
-20.92 47.59% 8.66% 1.67% 8.52%
gangplank Gangplank
-21.03 48.01% 10.54% 1.70% 10.36%
maokai Maokai
-21.33 47.00% 7.10% 0.47% 7.07%
poppy Poppy
-21.56 47.99% 10.73% 4.06% 10.29%
shen Shen
-21.82 45.45% 4.80% 0.16% 4.79%
elise Elise
-25.22 43.53% 3.90% 0.29% 3.89%
teemo Teemo
-25.42 47.17% 8.99% 2.54% 8.76%
tahmKench Tahm Kench
-25.58 41.52% 3.01% 0.46% 3.00%
azir Azir
-25.61 39.09% 2.34% 0.63% 2.33%
nautilus Nautilus
-26.12 47.25% 9.48% 0.78% 9.41%
lulu Lulu
-27.87 45.82% 6.67% 0.13% 6.66%
braum Braum
-28.48 46.41% 7.94% 1.39% 7.83%
illaoi Illaoi
-29.45 44.28% 5.15% 9.13% 4.68%
leblanc Leblanc
-30.92 46.31% 8.37% 27.02% 6.11%
fiora Fiora
-30.93 46.18% 8.10% 2.30% 7.91%
viktor Viktor
-34.80 44.23% 6.04% 1.79% 5.93%
orianna Orianna
-34.97 46.59% 10.26% 0.65% 10.19%
tristana Tristana
-35.99 45.32% 7.69% 0.15% 7.68%
karma Karma
-36.56 45.56% 8.24% 0.35% 8.21%
camille Camille
-42.43 46.87% 13.56% 50.01% 6.78%
veigar Veigar
-42.84 46.10% 10.99% 6.25% 10.30%
caitlyn Caitlyn
-46.48 48.51% 31.25% 4.98% 29.69%
malzahar Malzahar
-49.42 46.85% 15.67% 11.79% 13.82%
vayne Vayne
-49.44 47.76% 22.09% 20.06% 17.66%
zed Zed
-51.62 44.93% 10.19% 16.65% 8.49%
ryze Ryze
-58.03 41.58% 6.89% 2.15% 6.74%
jhin Jhin
-58.37 47.53% 23.61% 2.47% 23.03%
thresh Thresh
-59.03 46.30% 15.94% 0.58% 15.85%
rengar Rengar
-62.04 43.28% 9.22% 14.12% 7.92%
lucian Lucian
-72.89 42.92% 10.29% 0.19% 10.27%
leeSin Lee Sin
-89.45 45.35% 19.23% 10.72% 17.17%
ezreal Ezreal
-97.60 45.79% 23.17% 0.71% 23.01%

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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