Personalised Bans

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TOP SILVER BANS

janna
#1 : JANNA
Influence: 38
Win Rate: 52.62%
Pick Rate: 14.65%
vi
#2 : VI
Influence: 37
Win Rate: 51.67%
Pick Rate: 22.42%
ahri
#3 : AHRI (2)
Influence: 22
Win Rate: 51.54%
Pick Rate: 14.28%
xinZhao
#4 : XIN ZHAO (2)
Influence: 16
Win Rate: 52.22%
Pick Rate: 7.34%

blitzcrank
#5 : BLITZCRANK (4)
Influence: 16
Win Rate: 51.12%
Pick Rate: 14.40%
swain
#6 : SWAIN (2)
Influence: 15
Win Rate: 54.41%
Pick Rate: 3.48%
ziggs
#7 : ZIGGS (4)
Influence: 12
Win Rate: 50.92%
Pick Rate: 12.72%
nami
#8 : NAMI (2)
Influence: 12
Win Rate: 51.09%
Pick Rate: 10.64%

darius
#9 : DARIUS (2)
Influence: 10
Win Rate: 50.38%
Pick Rate: 25.96%
shyvana
#10 : SHYVANA (2)
Influence: 10
Win Rate: 51.81%
Pick Rate: 5.29%
zyra
#11 : ZYRA (7)
Influence: 8
Win Rate: 50.96%
Pick Rate: 8.83%
soraka
#12 : SORAKA (5)
Influence: 8
Win Rate: 51.13%
Pick Rate: 7.42%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
38.30 52.62% 14.65% 0.36% 14.60%
vi Vi
37.43 51.67% 22.42% 14.70% 19.12%
ahri Ahri
21.95 51.54% 14.28% 1.40% 14.08%
xinZhao Xin Zhao
16.27 52.22% 7.34% 0.88% 7.28%
blitzcrank Blitzcrank
16.16 51.12% 14.40% 3.81% 13.85%
swain Swain
15.33 54.41% 3.48% 0.44% 3.46%
ziggs Ziggs
11.73 50.92% 12.72% 11.29% 11.28%
nami Nami
11.60 51.09% 10.64% 0.08% 10.63%
darius Darius
9.73 50.38% 25.96% 64.37% 9.25%
shyvana Shyvana
9.53 51.81% 5.29% 1.42% 5.21%
zyra Zyra
8.43 50.96% 8.83% 1.52% 8.70%
soraka Soraka
8.36 51.13% 7.42% 0.39% 7.39%
skarner Skarner
4.46 52.22% 2.01% 0.09% 2.01%
drMundo Dr. Mundo
3.35 51.44% 2.33% 0.28% 2.32%
xerath Xerath
3.34 50.95% 3.51% 0.04% 3.51%
renekton Renekton
2.44 50.31% 7.99% 1.06% 7.91%
velkoz Velkoz
2.30 50.46% 5.06% 0.25% 5.05%
corki Corki
2.23 50.53% 4.23% 0.30% 4.22%
karthus Karthus
1.57 51.38% 1.14% 0.02% 1.14%
brand Brand
1.16 50.14% 8.26% 2.65% 8.04%
zilean Zilean
1.02 50.26% 3.99% 0.06% 3.99%
amumu Amumu
0.83 50.11% 7.35% 1.64% 7.23%
aatrox Aatrox
0.37 50.23% 1.59% 0.35% 1.58%
pantheon Pantheon
-0.25 49.95% 5.36% 0.54% 5.33%
galio Galio
-1.27 49.06% 1.35% 0.07% 1.35%
hecarim Hecarim
-2.37 49.83% 14.17% 17.67% 11.67%
urgot Urgot
-2.47 46.73% 0.76% 0.17% 0.76%
kled Kled
-2.71 49.06% 2.87% 0.96% 2.84%
kindred Kindred
-3.44 47.35% 1.30% 0.03% 1.30%
heimerdinger Heimerdinger
-3.52 46.99% 1.17% 0.11% 1.17%
tryndamere Tryndamere
-3.60 49.40% 6.03% 1.00% 5.97%
anivia Anivia
-3.73 48.53% 2.53% 0.13% 2.53%
rammus Rammus
-3.74 48.65% 2.77% 0.26% 2.76%
yorick Yorick
-4.19 48.77% 3.39% 0.58% 3.37%
nasus Nasus
-4.24 49.49% 8.23% 1.26% 8.13%
talon Talon
-4.38 48.69% 3.33% 1.15% 3.29%
sion Sion
-5.18 48.68% 3.92% 0.07% 3.92%
shaco Shaco
-5.39 49.35% 8.29% 2.83% 8.06%
singed Singed
-5.46 48.59% 3.86% 0.53% 3.84%
illaoi Illaoi
-5.69 48.98% 5.57% 10.72% 4.97%
nunu Nunu
-5.71 43.71% 0.91% 0.05% 0.91%
monkeyKing Wukong
-5.82 48.81% 4.89% 0.19% 4.88%
kogMaw Kog'Maw
-6.38 44.42% 1.14% 0.07% 1.14%
akali Akali
-6.48 47.81% 2.95% 0.82% 2.93%
graves Graves
-6.62 48.85% 5.73% 0.13% 5.72%
teemo Teemo
-6.66 49.08% 7.22% 1.16% 7.14%
fiddlesticks Fiddlesticks
-6.76 47.05% 2.29% 0.19% 2.29%
twistedFate Twisted Fate
-6.77 48.83% 5.79% 0.09% 5.78%
garen Garen
-6.78 49.28% 9.45% 3.15% 9.15%
varus Varus
-6.93 49.34% 10.50% 0.21% 10.48%
nocturne Nocturne
-7.00 48.68% 5.31% 0.46% 5.29%
rumble Rumble
-7.39 48.43% 4.72% 0.36% 4.70%
chogath Cho'Gath
-7.57 47.77% 3.39% 0.59% 3.37%
aurelionSol Aurelionsol
-7.76 42.32% 1.01% 0.18% 1.01%
annie Annie
-7.92 49.11% 8.85% 1.79% 8.69%
ekko Ekko
-8.40 49.17% 10.09% 2.30% 9.86%
kayle Kayle
-8.60 47.59% 3.57% 0.26% 3.56%
ivern Ivern
-8.70 46.42% 2.43% 1.76% 2.39%
taric Taric
-8.80 47.48% 3.50% 0.01% 3.50%
warwick Warwick
-8.88 45.03% 1.78% 0.19% 1.78%
volibear Volibear
-9.14 47.92% 4.39% 0.41% 4.37%
zac Zac
-9.60 49.33% 14.23% 33.85% 9.41%
mordekaiser Mordekaiser
-9.80 44.14% 1.67% 0.23% 1.67%
evelynn Evelynn
-9.91 46.83% 3.13% 0.54% 3.11%
missFortune Miss Fortune
-9.91 49.23% 12.80% 0.28% 12.76%
leona Leona
-10.13 49.22% 12.94% 1.34% 12.77%
udyr Udyr
-10.16 44.61% 1.89% 0.06% 1.89%
nidalee Nidalee
-10.30 40.91% 1.13% 0.06% 1.13%
jarvanIV Jarvan IV
-10.72 48.37% 6.58% 0.28% 6.56%
fiora Fiora
-10.97 48.60% 7.86% 3.38% 7.59%
malzahar Malzahar
-11.18 49.05% 11.77% 8.98% 10.71%
quinn Quinn
-12.04 45.40% 2.61% 0.12% 2.61%
trundle Trundle
-12.20 46.96% 4.02% 0.38% 4.00%
sejuani Sejuani
-12.50 46.86% 3.98% 0.21% 3.97%
diana Diana
-13.03 46.88% 4.17% 0.80% 4.14%
taliyah Taliyah
-13.72 43.17% 2.01% 0.18% 2.01%
twitch Twitch
-15.31 48.35% 9.25% 1.02% 9.16%
tahmKench Tahm Kench
-17.13 45.20% 3.57% 0.32% 3.56%
kennen Kennen
-17.57 46.21% 4.64% 1.61% 4.57%
rekSai Rek'Sai
-17.79 44.31% 3.13% 0.02% 3.13%
sona Sona
-17.92 47.31% 6.67% 0.10% 6.66%
malphite Malphite
-18.58 47.79% 8.40% 1.42% 8.28%
veigar Veigar
-18.61 47.90% 8.87% 2.63% 8.64%
gragas Gragas
-18.92 42.59% 2.56% 0.22% 2.55%
azir Azir
-18.95 43.40% 2.87% 0.33% 2.86%
maokai Maokai
-18.99 47.33% 7.11% 0.42% 7.08%
cassiopeia Cassiopeia
-19.35 44.80% 3.72% 0.92% 3.69%
lulu Lulu
-19.76 46.46% 5.58% 0.03% 5.58%
gnar Gnar
-19.94 45.80% 4.74% 0.45% 4.72%
rengar Rengar
-20.43 47.85% 9.48% 16.33% 7.93%
riven Riven
-20.46 48.62% 14.81% 3.42% 14.30%
sivir Sivir
-20.72 45.36% 4.46% 0.04% 4.46%
lissandra Lissandra
-21.40 42.91% 3.01% 0.11% 3.01%
kalista Kalista
-21.84 44.24% 3.79% 0.17% 3.78%
jax Jax
-22.42 47.24% 8.12% 0.65% 8.07%
gangplank Gangplank
-22.87 47.77% 10.26% 1.28% 10.13%
kassadin Kassadin
-23.50 40.53% 2.48% 0.09% 2.48%
fizz Fizz
-23.62 46.82% 7.43% 9.06% 6.76%
draven Draven
-24.16 48.27% 13.93% 8.17% 12.79%
tristana Tristana
-24.68 46.38% 6.82% 0.06% 6.82%
morgana Morgana
-24.69 48.33% 14.74% 1.54% 14.51%
olaf Olaf
-25.53 45.41% 5.56% 0.88% 5.51%
vladimir Vladimir
-27.54 38.79% 2.45% 0.19% 2.45%
orianna Orianna
-27.90 47.72% 12.26% 0.86% 12.15%
leblanc Leblanc
-30.04 47.29% 11.08% 29.71% 7.79%
shen Shen
-30.21 44.12% 5.14% 0.21% 5.13%
syndra Syndra
-30.34 47.05% 10.27% 14.30% 8.80%
elise Elise
-31.22 44.25% 5.44% 0.28% 5.42%
masterYi Master Yi
-31.80 44.93% 6.27% 0.62% 6.23%
jayce Jayce
-32.21 46.59% 9.44% 3.71% 9.09%
caitlyn Caitlyn
-32.86 48.75% 26.34% 3.24% 25.49%
poppy Poppy
-32.88 47.22% 11.82% 6.71% 11.03%
yasuo Yasuo
-33.12 49.02% 33.72% 55.81% 14.90%
katarina Katarina
-33.25 47.64% 14.10% 32.55% 9.51%
alistar Alistar
-34.17 45.54% 7.65% 0.65% 7.60%
viktor Viktor
-34.50 43.60% 5.39% 0.44% 5.37%
lux Lux
-35.31 47.90% 16.84% 1.22% 16.63%
irelia Irelia
-35.40 44.09% 5.99% 2.72% 5.83%
jinx Jinx
-35.46 48.27% 20.53% 1.25% 20.27%
bard Bard
-36.35 41.00% 4.04% 0.17% 4.03%
ashe Ashe
-38.42 46.43% 10.76% 0.11% 10.75%
nautilus Nautilus
-39.05 47.09% 13.41% 0.82% 13.30%
jhin Jhin
-43.33 47.79% 19.64% 1.15% 19.41%
karma Karma
-50.09 44.76% 9.56% 0.12% 9.55%
braum Braum
-53.63 45.53% 12.00% 1.30% 11.84%
ryze Ryze
-64.97 42.58% 8.76% 1.78% 8.60%
khazix Khazix
-70.30 45.89% 17.11% 8.92% 15.58%
zed Zed
-72.52 44.48% 13.13% 35.04% 8.53%
thresh Thresh
-74.76 47.73% 32.93% 1.01% 32.60%
ezreal Ezreal
-83.64 46.09% 21.36% 0.53% 21.25%
lucian Lucian
-84.41 44.71% 15.97% 0.50% 15.89%
camille Camille
-91.85 43.24% 13.59% 67.56% 4.41%
leeSin Lee Sin
-172.28 45.74% 40.47% 16.61% 33.75%
vayne Vayne
-187.57 45.84% 45.13% 48.68% 23.16%

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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