Personalised Bans

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TOP SILVER BANS

missFortune
#1 : MISS FORTUNE
Influence: 67
Win Rate: 53.34%
Pick Rate: 20.14%
janna
#2 : JANNA (1)
Influence: 51
Win Rate: 53.89%
Pick Rate: 13.23%
soraka
#3 : SORAKA (1)
Influence: 48
Win Rate: 54.11%
Pick Rate: 11.70%
shaco
#4 : SHACO (2)
Influence: 46
Win Rate: 53.38%
Pick Rate: 13.50%

yasuo
#5 : YASUO (5)
Influence: 44
Win Rate: 51.57%
Pick Rate: 27.80%
sona
#6 : SONA
Influence: 40
Win Rate: 53.48%
Pick Rate: 11.34%
brand
#7 : BRAND (2)
Influence: 38
Win Rate: 52.31%
Pick Rate: 16.40%
anivia
#8 : ANIVIA (3)
Influence: 35
Win Rate: 57.87%
Pick Rate: 4.45%

xinZhao
#9 : XIN ZHAO (2)
Influence: 32
Win Rate: 51.87%
Pick Rate: 17.34%
fiora
#10 : FIORA (1)
Influence: 25
Win Rate: 52.32%
Pick Rate: 10.74%
twitch
#11 : TWITCH (4)
Influence: 22
Win Rate: 51.98%
Pick Rate: 11.32%
monkeyKing
#12 : WUKONG
Influence: 16
Win Rate: 52.77%
Pick Rate: 5.88%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
missFortune Miss Fortune
67.27 53.34% 20.14% 3.79% 19.38%
janna Janna
51.46 53.89% 13.23% 0.42% 13.17%
soraka Soraka
48.05 54.11% 11.70% 4.58% 11.16%
shaco Shaco
45.55 53.38% 13.50% 19.63% 10.85%
yasuo Yasuo
43.73 51.57% 27.80% 47.08% 14.71%
sona Sona
39.52 53.48% 11.34% 0.61% 11.27%
brand Brand
37.80 52.31% 16.40% 19.64% 13.18%
anivia Anivia
35.03 57.87% 4.45% 0.91% 4.41%
xinZhao Xin Zhao
32.43 51.87% 17.34% 7.61% 16.02%
fiora Fiora
24.86 52.32% 10.74% 8.27% 9.85%
twitch Twitch
22.44 51.98% 11.32% 2.64% 11.02%
monkeyKing Wukong
16.28 52.77% 5.88% 2.21% 5.75%
renekton Renekton
13.39 51.72% 7.78% 1.71% 7.65%
annie Annie
13.13 51.46% 8.98% 1.78% 8.82%
fizz Fizz
11.38 51.08% 10.54% 12.40% 9.23%
warwick Warwick
10.88 50.61% 17.76% 25.50% 13.23%
masterYi Master Yi
10.14 50.53% 19.05% 12.06% 16.75%
sion Sion
9.21 52.08% 4.42% 0.12% 4.41%
sivir Sivir
8.30 51.74% 4.76% 0.05% 4.76%
corki Corki
7.37 53.49% 2.11% 0.09% 2.11%
blitzcrank Blitzcrank
6.93 50.52% 13.47% 16.98% 11.18%
udyr Udyr
5.39 52.72% 1.98% 0.08% 1.98%
kayle Kayle
4.03 51.06% 3.80% 0.65% 3.78%
ahri Ahri
3.58 50.21% 16.85% 5.19% 15.98%
nocturne Nocturne
2.77 50.44% 6.24% 1.53% 6.14%
ziggs Ziggs
2.68 50.39% 6.86% 0.78% 6.81%
ivern Ivern
2.00 51.01% 1.99% 1.56% 1.96%
taric Taric
1.51 50.31% 4.87% 0.19% 4.86%
tryndamere Tryndamere
1.30 50.15% 8.66% 4.78% 8.25%
velkoz Velkoz
1.16 50.17% 6.72% 1.84% 6.60%
fiddlesticks Fiddlesticks
1.03 50.35% 2.97% 0.14% 2.97%
trundle Trundle
0.83 50.29% 2.88% 0.10% 2.88%
amumu Amumu
-0.32 49.94% 5.12% 1.16% 5.06%
garen Garen
-0.34 49.96% 7.93% 1.90% 7.78%
katarina Katarina
-0.42 49.97% 16.68% 45.16% 9.15%
lux Lux
-0.46 49.98% 20.66% 3.41% 19.96%
urgot Urgot
-0.47 49.45% 0.85% 0.30% 0.85%
heimerdinger Heimerdinger
-0.59 49.61% 1.52% 0.32% 1.52%
shyvana Shyvana
-0.98 49.78% 4.52% 0.51% 4.50%
kogMaw Kog'Maw
-1.37 49.71% 4.82% 0.89% 4.78%
leona Leona
-1.68 49.87% 12.43% 2.35% 12.14%
swain Swain
-1.73 49.72% 6.11% 1.60% 6.01%
rekSai Rek'Sai
-2.92 46.75% 0.90% 0.07% 0.90%
teemo Teemo
-3.35 49.60% 8.42% 2.68% 8.19%
irelia Irelia
-3.82 49.35% 5.93% 2.46% 5.78%
jarvanIV Jarvan IV
-4.04 49.09% 4.43% 0.28% 4.42%
talon Talon
-4.56 49.27% 6.25% 6.82% 5.82%
yorick Yorick
-5.04 48.66% 3.76% 0.99% 3.72%
rumble Rumble
-5.05 48.97% 4.90% 0.37% 4.88%
illaoi Illaoi
-5.17 48.91% 4.72% 7.62% 4.36%
nasus Nasus
-5.42 49.28% 7.59% 1.39% 7.48%
aurelionSol Aurelionsol
-5.74 45.19% 1.19% 0.31% 1.19%
nunu Nunu
-5.74 47.15% 2.01% 0.14% 2.01%
volibear Volibear
-5.88 47.97% 2.90% 0.98% 2.87%
zilean Zilean
-6.15 48.10% 3.23% 0.19% 3.22%
karthus Karthus
-6.19 46.08% 1.58% 0.06% 1.58%
sejuani Sejuani
-6.36 47.83% 2.92% 0.09% 2.92%
kled Kled
-6.91 48.22% 3.87% 2.44% 3.78%
skarner Skarner
-7.21 44.44% 1.29% 0.10% 1.29%
zyra Zyra
-7.47 49.28% 10.37% 6.28% 9.72%
malphite Malphite
-7.59 49.18% 9.23% 2.21% 9.03%
tahmKench Tahm Kench
-7.97 47.54% 3.24% 0.51% 3.22%
maokai Maokai
-8.39 47.27% 3.08% 0.22% 3.07%
kennen Kennen
-9.03 47.03% 3.04% 0.41% 3.03%
kalista Kalista
-9.38 48.20% 5.21% 0.70% 5.17%
vi Vi
-9.40 48.59% 6.67% 4.30% 6.38%
drMundo Dr. Mundo
-9.52 45.86% 2.30% 0.11% 2.30%
taliyah Taliyah
-9.62 45.16% 1.98% 0.11% 1.98%
lissandra Lissandra
-10.03 45.04% 2.02% 0.15% 2.02%
xerath Xerath
-10.21 47.55% 4.17% 0.47% 4.15%
jinx Jinx
-10.42 49.37% 16.54% 0.94% 16.38%
kindred Kindred
-11.14 46.61% 3.28% 0.33% 3.27%
aatrox Aatrox
-11.54 44.96% 2.29% 0.79% 2.27%
braum Braum
-12.45 48.59% 8.84% 1.10% 8.74%
azir Azir
-12.48 40.30% 1.29% 0.82% 1.28%
gragas Gragas
-12.89 48.04% 6.58% 0.60% 6.54%
alistar Alistar
-13.09 46.57% 3.83% 0.16% 3.82%
varus Varus
-13.39 48.11% 7.07% 0.98% 7.00%
cassiopeia Cassiopeia
-14.48 42.58% 1.96% 0.30% 1.95%
syndra Syndra
-14.52 47.92% 7.00% 4.67% 6.67%
jayce Jayce
-15.40 47.49% 6.14% 5.17% 5.82%
kassadin Kassadin
-15.76 44.77% 3.01% 0.31% 3.00%
mordekaiser Mordekaiser
-16.64 39.91% 1.64% 0.25% 1.64%
rammus Rammus
-16.71 43.82% 2.71% 0.30% 2.70%
tristana Tristana
-18.12 47.85% 8.42% 0.20% 8.40%
riven Riven
-18.77 47.79% 8.50% 1.65% 8.36%
gnar Gnar
-18.95 43.30% 2.83% 0.28% 2.82%
quinn Quinn
-19.25 45.49% 4.26% 2.15% 4.17%
morgana Morgana
-21.48 48.46% 13.97% 3.02% 13.55%
singed Singed
-21.85 40.95% 2.41% 0.11% 2.41%
veigar Veigar
-22.27 47.89% 10.55% 6.31% 9.88%
bard Bard
-22.53 45.11% 4.61% 0.28% 4.60%
viktor Viktor
-22.94 45.60% 5.21% 1.04% 5.16%
draven Draven
-23.15 46.34% 6.32% 1.11% 6.25%
elise Elise
-23.76 43.42% 3.62% 0.16% 3.61%
chogath Cho'Gath
-24.53 43.46% 3.75% 0.35% 3.74%
gangplank Gangplank
-25.03 47.18% 8.88% 2.71% 8.64%
diana Diana
-25.25 45.14% 5.19% 0.41% 5.17%
shen Shen
-25.63 46.56% 7.45% 0.50% 7.41%
poppy Poppy
-25.72 45.98% 6.39% 0.81% 6.34%
ryze Ryze
-25.77 40.28% 2.65% 0.36% 2.64%
zac Zac
-26.01 45.57% 5.88% 4.93% 5.59%
ekko Ekko
-26.04 47.18% 9.22% 2.65% 8.98%
khazix Khazix
-26.11 47.26% 9.54% 9.14% 8.67%
akali Akali
-26.78 43.89% 4.38% 1.66% 4.31%
jax Jax
-27.07 47.47% 10.70% 3.63% 10.31%
nidalee Nidalee
-27.38 38.11% 2.30% 0.09% 2.30%
malzahar Malzahar
-27.41 45.42% 5.98% 7.41% 5.54%
nautilus Nautilus
-27.49 46.95% 9.02% 0.68% 8.96%
lulu Lulu
-28.44 48.52% 19.15% 4.90% 18.21%
olaf Olaf
-29.55 41.64% 3.53% 0.37% 3.52%
leblanc Leblanc
-30.39 38.36% 2.62% 7.48% 2.42%
camille Camille
-32.25 43.82% 5.22% 12.99% 4.54%
hecarim Hecarim
-32.33 46.47% 9.16% 22.85% 7.07%
vladimir Vladimir
-34.20 45.99% 8.52% 5.21% 8.08%
evelynn Evelynn
-36.18 43.46% 5.54% 7.54% 5.12%
nami Nami
-38.30 47.37% 14.53% 0.24% 14.50%
karma Karma
-38.49 45.29% 8.16% 0.27% 8.14%
twistedFate Twisted Fate
-38.54 42.54% 5.17% 0.21% 5.16%
pantheon Pantheon
-39.13 45.49% 8.69% 4.91% 8.26%
zed Zed
-41.63 47.39% 15.96% 33.70% 10.58%
caitlyn Caitlyn
-41.64 48.32% 24.82% 3.79% 23.88%
galio Galio
-42.29 48.90% 38.53% 50.33% 19.14%
graves Graves
-43.17 46.53% 12.45% 7.31% 11.54%
rengar Rengar
-44.11 43.33% 6.61% 7.84% 6.09%
darius Darius
-44.80 47.16% 15.78% 28.34% 11.31%
vayne Vayne
-49.69 47.41% 19.21% 12.08% 16.89%
thresh Thresh
-52.24 46.33% 14.22% 0.65% 14.13%
lucian Lucian
-57.78 47.60% 24.06% 2.52% 23.45%
orianna Orianna
-58.46 44.58% 10.79% 1.40% 10.64%
ashe Ashe
-64.33 45.76% 15.18% 0.18% 15.15%
leeSin Lee Sin
-72.32 46.22% 19.13% 6.93% 17.80%
jhin Jhin
-76.06 46.14% 19.72% 3.45% 19.04%
ezreal Ezreal
-90.54 46.01% 22.68% 1.31% 22.38%

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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