Personalised Bans

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TOP SILVER BANS

vi
#1 : VI
Influence: 24
Win Rate: 51.32%
Pick Rate: 18.37%
sona
#2 : SONA (1)
Influence: 21
Win Rate: 52.78%
Pick Rate: 7.56%
janna
#3 : JANNA (1)
Influence: 21
Win Rate: 51.58%
Pick Rate: 13.27%
zyra
#4 : ZYRA (7)
Influence: 19
Win Rate: 51.71%
Pick Rate: 10.91%

missFortune
#5 : MISS FORTUNE (4)
Influence: 18
Win Rate: 51.29%
Pick Rate: 13.90%
yasuo
#6 : YASUO (20)
Influence: 16
Win Rate: 50.30%
Pick Rate: 53.37%
blitzcrank
#7 : BLITZCRANK (3)
Influence: 15
Win Rate: 50.92%
Pick Rate: 16.27%
ziggs
#8 : ZIGGS (2)
Influence: 15
Win Rate: 51.42%
Pick Rate: 10.45%

soraka
#9 : SORAKA (4)
Influence: 14
Win Rate: 51.58%
Pick Rate: 8.59%
hecarim
#10 : HECARIM (9)
Influence: 13
Win Rate: 50.76%
Pick Rate: 17.47%
amumu
#11 : AMUMU (2)
Influence: 13
Win Rate: 52.11%
Pick Rate: 6.02%
malphite
#12 : MALPHITE (3)
Influence: 12
Win Rate: 51.31%
Pick Rate: 9.36%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
vi Vi
24.14 51.32% 18.37% 10.70% 16.40%
sona Sona
21.03 52.78% 7.56% 0.26% 7.54%
janna Janna
20.90 51.58% 13.27% 0.54% 13.20%
zyra Zyra
18.68 51.71% 10.91% 3.17% 10.56%
missFortune Miss Fortune
17.94 51.29% 13.90% 0.73% 13.80%
yasuo Yasuo
16.14 50.30% 53.37% 63.91% 19.26%
blitzcrank Blitzcrank
14.96 50.92% 16.27% 12.27% 14.27%
ziggs Ziggs
14.81 51.42% 10.45% 3.88% 10.04%
soraka Soraka
13.53 51.58% 8.59% 1.38% 8.47%
hecarim Hecarim
13.28 50.76% 17.47% 23.37% 13.39%
amumu Amumu
12.71 52.11% 6.02% 0.82% 5.97%
malphite Malphite
12.21 51.31% 9.36% 2.11% 9.16%
annie Annie
12.01 51.28% 9.41% 5.28% 8.91%
swain Swain
11.90 52.82% 4.23% 0.91% 4.19%
darius Darius
11.51 50.49% 23.38% 50.13% 11.66%
malzahar Malzahar
11.14 50.97% 11.49% 6.42% 10.75%
xinZhao Xin Zhao
10.26 51.21% 8.51% 0.88% 8.44%
ahri Ahri
8.32 50.67% 12.52% 1.72% 12.30%
jarvanIV Jarvan IV
7.90 51.39% 5.70% 0.25% 5.69%
fiora Fiora
7.57 50.89% 8.48% 3.94% 8.15%
teemo Teemo
7.03 50.71% 9.91% 3.16% 9.60%
sion Sion
7.02 52.29% 3.07% 0.05% 3.07%
brand Brand
6.89 50.65% 10.69% 4.16% 10.25%
monkeyKing Wukong
6.61 51.24% 5.33% 0.17% 5.32%
jinx Jinx
4.77 50.27% 17.65% 1.44% 17.40%
anivia Anivia
4.69 52.59% 1.81% 0.19% 1.81%
xerath Xerath
4.55 51.10% 4.15% 0.22% 4.14%
garen Garen
3.85 50.51% 7.56% 1.95% 7.41%
nami Nami
3.25 50.43% 7.53% 0.07% 7.52%
shaco Shaco
2.98 50.34% 8.84% 3.47% 8.53%
velkoz Velkoz
2.98 50.58% 5.19% 0.33% 5.17%
zac Zac
2.89 50.33% 8.84% 8.38% 8.10%
kayle Kayle
2.47 50.78% 3.15% 0.31% 3.14%
yorick Yorick
1.93 50.87% 2.22% 0.39% 2.21%
ivern Ivern
1.56 50.50% 3.14% 1.52% 3.09%
leona Leona
1.01 50.07% 15.54% 3.34% 15.02%
diana Diana
-0.03 50.00% 5.11% 1.49% 5.03%
renekton Renekton
-0.11 49.99% 7.36% 1.58% 7.24%
shyvana Shyvana
-0.93 49.81% 4.77% 1.01% 4.72%
illaoi Illaoi
-0.95 49.85% 6.34% 12.78% 5.53%
twitch Twitch
-1.06 49.89% 9.86% 1.60% 9.70%
sejuani Sejuani
-1.33 49.46% 2.44% 0.07% 2.44%
lux Lux
-1.57 49.92% 19.68% 2.12% 19.26%
mordekaiser Mordekaiser
-1.67 48.58% 1.18% 0.15% 1.18%
warwick Warwick
-1.69 49.13% 1.93% 0.11% 1.93%
corki Corki
-1.74 49.62% 4.55% 0.40% 4.53%
taric Taric
-1.78 49.41% 3.02% 0.09% 3.02%
nocturne Nocturne
-1.98 49.68% 6.09% 0.48% 6.06%
zilean Zilean
-2.29 49.19% 2.83% 0.11% 2.83%
drMundo Dr. Mundo
-2.41 48.92% 2.24% 0.41% 2.23%
karthus Karthus
-2.51 47.72% 1.10% 0.06% 1.10%
kled Kled
-2.82 48.80% 2.35% 0.66% 2.33%
skarner Skarner
-2.85 48.08% 1.48% 0.10% 1.48%
rammus Rammus
-2.97 48.96% 2.86% 0.30% 2.85%
quinn Quinn
-3.01 48.98% 2.94% 0.19% 2.93%
nasus Nasus
-3.18 49.56% 7.15% 1.59% 7.04%
ekko Ekko
-3.63 49.65% 10.30% 3.33% 9.96%
heimerdinger Heimerdinger
-4.23 47.41% 1.64% 0.33% 1.63%
lissandra Lissandra
-4.35 48.04% 2.22% 0.11% 2.22%
galio Galio
-4.40 46.76% 1.36% 0.11% 1.36%
urgot Urgot
-4.46 43.93% 0.73% 0.23% 0.73%
tryndamere Tryndamere
-4.48 49.35% 6.83% 1.32% 6.74%
aurelionSol Aurelionsol
-4.48 44.21% 0.77% 0.36% 0.77%
graves Graves
-4.81 48.95% 4.57% 0.19% 4.56%
kogMaw Kog'Maw
-4.82 46.07% 1.23% 0.06% 1.23%
shen Shen
-5.27 48.44% 3.36% 0.09% 3.36%
aatrox Aatrox
-5.44 46.38% 1.51% 0.59% 1.50%
draven Draven
-5.73 49.67% 17.11% 11.41% 15.16%
veigar Veigar
-5.85 49.29% 8.18% 1.73% 8.04%
singed Singed
-6.18 47.91% 2.96% 0.35% 2.95%
kindred Kindred
-6.57 45.25% 1.38% 0.06% 1.38%
rumble Rumble
-6.63 47.71% 2.90% 0.19% 2.89%
volibear Volibear
-6.82 48.01% 3.43% 0.27% 3.42%
varus Varus
-6.93 49.38% 11.09% 0.28% 11.06%
sivir Sivir
-6.94 48.26% 3.98% 0.07% 3.98%
kassadin Kassadin
-7.35 47.37% 2.80% 0.22% 2.79%
nunu Nunu
-7.45 40.89% 0.82% 0.09% 0.82%
fiddlesticks Fiddlesticks
-7.62 46.26% 2.03% 0.18% 2.03%
talon Talon
-7.66 47.61% 3.20% 0.81% 3.17%
nautilus Nautilus
-8.18 49.15% 9.63% 0.86% 9.55%
chogath Cho'Gath
-9.87 46.16% 2.57% 0.49% 2.56%
kennen Kennen
-10.15 47.51% 4.08% 1.61% 4.01%
orianna Orianna
-10.16 49.14% 11.75% 1.16% 11.61%
tahmKench Tahm Kench
-10.23 46.53% 2.95% 0.31% 2.94%
morgana Morgana
-10.25 49.39% 16.74% 4.76% 15.94%
irelia Irelia
-10.36 48.39% 6.43% 2.96% 6.24%
jax Jax
-10.42 49.22% 13.28% 4.56% 12.67%
udyr Udyr
-11.06 45.15% 2.28% 0.09% 2.28%
trundle Trundle
-11.52 46.38% 3.19% 0.19% 3.18%
pantheon Pantheon
-11.75 47.94% 5.70% 1.48% 5.62%
taliyah Taliyah
-11.82 44.70% 2.23% 0.12% 2.23%
gragas Gragas
-12.06 45.22% 2.52% 0.09% 2.52%
lulu Lulu
-12.53 47.05% 4.24% 0.06% 4.24%
twistedFate Twisted Fate
-13.64 47.21% 4.89% 0.12% 4.88%
khazix Khazix
-13.74 49.38% 22.06% 14.52% 18.86%
viktor Viktor
-14.39 46.90% 4.64% 0.46% 4.62%
evelynn Evelynn
-14.72 46.26% 3.94% 1.06% 3.90%
maokai Maokai
-14.75 48.23% 8.31% 1.03% 8.22%
karma Karma
-15.12 48.37% 9.28% 0.41% 9.24%
gnar Gnar
-15.69 44.32% 2.76% 0.37% 2.75%
rekSai Rek'Sai
-15.72 43.91% 2.58% 0.08% 2.58%
vladimir Vladimir
-16.01 43.19% 2.35% 0.38% 2.34%
akali Akali
-16.84 46.03% 4.24% 1.73% 4.17%
camille Camille
-17.20 48.72% 13.42% 59.31% 5.46%
jayce Jayce
-18.86 47.96% 9.24% 4.87% 8.79%
masterYi Master Yi
-18.96 47.48% 7.53% 1.16% 7.44%
olaf Olaf
-19.20 46.36% 5.28% 1.17% 5.22%
bard Bard
-19.48 44.57% 3.59% 0.23% 3.58%
fizz Fizz
-19.59 47.68% 8.43% 10.77% 7.52%
tristana Tristana
-21.15 46.56% 6.15% 0.07% 6.15%
cassiopeia Cassiopeia
-21.84 43.72% 3.48% 1.35% 3.43%
nidalee Nidalee
-21.97 37.44% 1.75% 0.11% 1.75%
braum Braum
-22.14 47.69% 9.58% 1.69% 9.42%
katarina Katarina
-22.54 48.96% 21.63% 46.00% 11.68%
elise Elise
-22.56 45.44% 4.95% 0.37% 4.93%
kalista Kalista
-22.69 44.46% 4.10% 0.26% 4.09%
caitlyn Caitlyn
-22.98 49.25% 30.74% 8.23% 28.21%
azir Azir
-25.93 39.84% 2.55% 0.56% 2.54%
ashe Ashe
-26.08 47.70% 11.33% 0.27% 11.30%
poppy Poppy
-27.63 46.85% 8.76% 5.06% 8.32%
alistar Alistar
-28.13 45.06% 5.70% 0.48% 5.67%
leblanc Leblanc
-33.61 46.38% 9.28% 23.16% 7.13%
rengar Rengar
-42.30 46.68% 12.75% 20.79% 10.10%
gangplank Gangplank
-51.29 46.25% 13.66% 2.20% 13.36%
jhin Jhin
-56.34 47.16% 19.80% 1.83% 19.44%
lucian Lucian
-56.74 45.31% 12.09% 0.42% 12.04%
syndra Syndra
-57.79 45.21% 12.05% 25.22% 9.01%
riven Riven
-57.83 45.86% 13.98% 3.07% 13.55%
ryze Ryze
-61.83 42.92% 8.74% 2.85% 8.49%
ezreal Ezreal
-62.93 46.88% 20.14% 0.68% 20.00%
zed Zed
-75.76 44.37% 13.46% 21.45% 10.57%
thresh Thresh
-80.55 47.39% 30.86% 2.04% 30.23%
vayne Vayne
-91.96 47.48% 36.53% 30.85% 25.26%
leeSin Lee Sin
-159.29 45.38% 34.46% 15.17% 29.23%

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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