Personalised Bans

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TOP SILVER BANS

masterYi
#1 : MASTER YI
Influence: 93
Win Rate: 54.37%
Pick Rate: 21.40%
twitch
#2 : TWITCH (1)
Influence: 78
Win Rate: 55.64%
Pick Rate: 13.74%
warwick
#3 : WARWICK (2)
Influence: 62
Win Rate: 54.02%
Pick Rate: 15.50%
ahri
#4 : AHRI (2)
Influence: 48
Win Rate: 52.32%
Pick Rate: 20.85%

leona
#5 : LEONA (2)
Influence: 46
Win Rate: 53.64%
Pick Rate: 12.59%
nami
#6 : NAMI (17)
Influence: 44
Win Rate: 52.83%
Pick Rate: 15.48%
anivia
#7 : ANIVIA (6)
Influence: 40
Win Rate: 59.65%
Pick Rate: 4.12%
sona
#8 : SONA (4)
Influence: 39
Win Rate: 53.50%
Pick Rate: 11.07%

zyra
#9 : ZYRA (1)
Influence: 38
Win Rate: 54.02%
Pick Rate: 9.56%
brand
#10 : BRAND (4)
Influence: 38
Win Rate: 52.74%
Pick Rate: 13.89%
xinZhao
#11 : XIN ZHAO (3)
Influence: 35
Win Rate: 52.53%
Pick Rate: 13.79%
nocturne
#12 : NOCTURNE (3)
Influence: 34
Win Rate: 56.83%
Pick Rate: 4.91%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
masterYi Master Yi
93.48 54.37% 21.40% 29.29% 15.13%
twitch Twitch
77.51 55.64% 13.74% 3.24% 13.29%
warwick Warwick
62.38 54.02% 15.50% 16.76% 12.90%
ahri Ahri
48.31 52.32% 20.85% 12.21% 18.30%
leona Leona
45.82 53.64% 12.59% 2.05% 12.33%
nami Nami
43.75 52.83% 15.48% 0.27% 15.44%
anivia Anivia
39.73 59.65% 4.12% 1.12% 4.07%
sona Sona
38.78 53.50% 11.07% 0.60% 11.00%
zyra Zyra
38.40 54.02% 9.56% 2.74% 9.30%
brand Brand
38.09 52.74% 13.89% 15.70% 11.71%
xinZhao Xin Zhao
34.91 52.53% 13.79% 6.61% 12.88%
nocturne Nocturne
33.52 56.83% 4.91% 0.64% 4.88%
rumble Rumble
31.16 58.22% 3.79% 0.32% 3.78%
soraka Soraka
30.51 53.07% 9.93% 3.03% 9.63%
missFortune Miss Fortune
28.87 51.76% 16.43% 1.83% 16.13%
fizz Fizz
26.01 51.68% 15.48% 41.21% 9.10%
tryndamere Tryndamere
25.08 52.87% 8.75% 4.72% 8.34%
xerath Xerath
23.94 56.74% 3.55% 0.24% 3.54%
braum Braum
21.90 52.36% 9.28% 1.29% 9.16%
janna Janna
21.38 51.93% 11.05% 0.28% 11.02%
shyvana Shyvana
18.96 54.22% 4.50% 0.36% 4.48%
jax Jax
18.41 51.21% 15.18% 4.00% 14.57%
khazix Khazix
17.44 51.57% 11.15% 4.67% 10.63%
blitzcrank Blitzcrank
16.59 51.48% 11.19% 17.48% 9.23%
jinx Jinx
16.51 51.04% 15.91% 0.83% 15.78%
lulu Lulu
16.33 50.72% 22.84% 26.26% 16.84%
shen Shen
14.10 51.65% 8.55% 0.70% 8.49%
teemo Teemo
14.04 51.63% 8.60% 3.28% 8.32%
swain Swain
13.70 53.06% 4.48% 0.81% 4.44%
pantheon Pantheon
12.53 51.49% 8.38% 6.23% 7.86%
rammus Rammus
12.37 53.63% 3.41% 0.72% 3.39%
vi Vi
12.13 52.14% 5.66% 1.61% 5.57%
jarvanIV Jarvan IV
11.10 52.00% 5.54% 0.39% 5.52%
annie Annie
10.68 51.34% 7.97% 1.45% 7.85%
heimerdinger Heimerdinger
10.56 53.19% 3.31% 0.44% 3.30%
kassadin Kassadin
10.39 51.68% 6.20% 2.90% 6.02%
nasus Nasus
10.12 51.49% 6.81% 1.34% 6.72%
veigar Veigar
9.44 51.11% 8.51% 5.81% 8.02%
draven Draven
8.43 51.12% 7.51% 1.29% 7.41%
karthus Karthus
7.30 53.80% 1.92% 0.01% 1.92%
renekton Renekton
6.06 50.66% 9.18% 2.85% 8.92%
tahmKench Tahm Kench
5.98 51.53% 3.91% 0.22% 3.90%
udyr Udyr
5.81 52.77% 2.10% 0.21% 2.10%
tristana Tristana
5.57 50.83% 6.75% 0.19% 6.74%
fiora Fiora
5.12 50.42% 12.12% 11.38% 10.74%
aurelionSol Aurelionsol
4.76 55.40% 0.88% 0.18% 0.88%
bard Bard
4.38 50.75% 5.87% 0.49% 5.84%
irelia Irelia
4.01 50.72% 5.59% 1.75% 5.49%
kogMaw Kog'Maw
3.87 50.95% 4.08% 0.61% 4.06%
urgot Urgot
2.39 52.32% 1.03% 0.19% 1.03%
kayle Kayle
2.07 50.71% 2.92% 0.32% 2.91%
katarina Katarina
1.91 50.17% 11.57% 34.75% 7.55%
shaco Shaco
1.35 50.19% 6.94% 5.90% 6.53%
hecarim Hecarim
0.98 50.15% 6.53% 7.96% 6.01%
taric Taric
0.91 50.28% 3.21% 0.22% 3.20%
lissandra Lissandra
0.85 50.45% 1.87% 0.18% 1.87%
garen Garen
0.69 50.12% 5.90% 1.05% 5.84%
mordekaiser Mordekaiser
0.19 50.12% 1.57% 0.08% 1.57%
varus Varus
-0.13 49.99% 8.70% 0.61% 8.65%
velkoz Velkoz
-0.34 49.95% 6.74% 2.17% 6.59%
quinn Quinn
-0.39 49.87% 2.94% 0.37% 2.93%
zilean Zilean
-0.66 49.76% 2.70% 0.16% 2.70%
ziggs Ziggs
-0.80 49.90% 7.84% 0.81% 7.78%
malzahar Malzahar
-0.96 49.72% 3.36% 1.72% 3.30%
ekko Ekko
-1.61 49.82% 8.69% 2.95% 8.43%
caitlyn Caitlyn
-2.00 49.95% 38.08% 10.77% 33.98%
orianna Orianna
-2.18 49.85% 14.32% 1.83% 14.06%
fiddlesticks Fiddlesticks
-3.13 48.89% 2.80% 0.11% 2.80%
aatrox Aatrox
-3.15 48.62% 2.28% 0.44% 2.27%
yorick Yorick
-3.60 49.09% 3.94% 0.57% 3.92%
nunu Nunu
-3.76 48.28% 2.18% 0.13% 2.18%
drMundo Dr. Mundo
-4.26 48.10% 2.24% 0.10% 2.24%
volibear Volibear
-4.43 48.57% 3.09% 0.70% 3.07%
chogath Cho'Gath
-5.19 48.48% 3.40% 0.30% 3.39%
twistedFate Twisted Fate
-5.42 48.90% 4.93% 0.10% 4.93%
lux Lux
-5.58 49.77% 23.74% 4.37% 22.70%
singed Singed
-5.94 46.02% 1.49% 0.09% 1.49%
syndra Syndra
-6.33 49.39% 10.42% 5.25% 9.87%
jayce Jayce
-6.44 48.87% 5.72% 1.67% 5.62%
kindred Kindred
-6.50 47.68% 2.81% 0.18% 2.80%
amumu Amumu
-6.79 49.03% 7.02% 1.82% 6.89%
kennen Kennen
-6.93 48.46% 4.51% 0.52% 4.49%
kled Kled
-7.00 48.14% 3.76% 3.45% 3.63%
taliyah Taliyah
-7.17 47.42% 2.79% 0.20% 2.78%
alistar Alistar
-7.20 48.41% 4.52% 0.24% 4.51%
skarner Skarner
-7.37 43.73% 1.17% 0.09% 1.17%
rekSai Rek'Sai
-7.58 39.74% 0.74% 0.15% 0.74%
akali Akali
-7.63 48.59% 5.41% 2.14% 5.29%
trundle Trundle
-9.45 46.06% 2.40% 0.15% 2.40%
ivern Ivern
-10.90 46.79% 3.40% 6.02% 3.20%
sion Sion
-10.97 47.22% 3.95% 0.16% 3.94%
elise Elise
-11.02 48.17% 6.00% 0.53% 5.97%
sivir Sivir
-12.56 46.48% 3.56% 0.14% 3.56%
riven Riven
-12.87 48.78% 10.53% 1.29% 10.39%
corki Corki
-13.78 32.62% 0.79% 0.05% 0.79%
viktor Viktor
-13.86 47.03% 4.67% 0.81% 4.63%
sejuani Sejuani
-13.97 47.63% 5.89% 7.34% 5.46%
monkeyKing Wukong
-14.08 47.12% 4.89% 1.39% 4.82%
malphite Malphite
-15.32 48.04% 7.82% 1.68% 7.69%
lucian Lucian
-15.35 49.33% 22.82% 3.77% 21.96%
evelynn Evelynn
-15.83 47.58% 6.53% 3.03% 6.33%
gnar Gnar
-15.93 44.31% 2.80% 0.56% 2.78%
ashe Ashe
-16.16 48.93% 15.13% 0.36% 15.08%
illaoi Illaoi
-16.47 46.15% 4.28% 5.37% 4.05%
camille Camille
-16.58 43.00% 2.36% 1.00% 2.34%
olaf Olaf
-16.92 45.89% 4.12% 0.33% 4.11%
azir Azir
-17.12 38.22% 1.45% 0.94% 1.44%
gangplank Gangplank
-18.42 47.59% 7.64% 2.55% 7.45%
zac Zac
-18.70 47.79% 8.49% 9.61% 7.67%
ryze Ryze
-20.66 41.88% 2.54% 0.08% 2.54%
maokai Maokai
-21.06 47.20% 7.52% 2.69% 7.32%
nidalee Nidalee
-21.24 40.96% 2.35% 0.15% 2.35%
nautilus Nautilus
-22.40 46.55% 6.50% 0.44% 6.47%
kalista Kalista
-22.56 43.17% 3.30% 0.15% 3.30%
darius Darius
-23.90 48.46% 15.49% 31.71% 10.58%
gragas Gragas
-23.93 46.54% 6.93% 1.40% 6.83%
graves Graves
-24.65 47.25% 8.99% 3.52% 8.67%
thresh Thresh
-25.35 48.31% 14.98% 0.94% 14.84%
poppy Poppy
-26.10 44.35% 4.62% 0.33% 4.60%
diana Diana
-26.69 44.36% 4.73% 0.87% 4.69%
talon Talon
-27.44 43.71% 4.36% 1.82% 4.28%
yasuo Yasuo
-27.49 49.11% 30.97% 54.66% 14.04%
rengar Rengar
-27.62 43.01% 3.95% 1.26% 3.90%
cassiopeia Cassiopeia
-29.37 41.47% 3.44% 0.42% 3.43%
vayne Vayne
-31.27 47.76% 13.95% 8.79% 12.72%
morgana Morgana
-32.93 47.48% 13.09% 2.46% 12.77%
vladimir Vladimir
-33.97 46.03% 8.55% 8.43% 7.83%
rakan Rakan
-37.81 45.67% 8.73% 2.22% 8.54%
galio Galio
-39.71 46.22% 10.50% 10.72% 9.37%
jhin Jhin
-44.97 46.20% 11.82% 0.97% 11.71%
leblanc Leblanc
-45.20 40.23% 4.63% 3.68% 4.46%
xayah Xayah
-59.99 47.65% 25.53% 36.50% 16.21%
zed Zed
-62.59 45.11% 12.81% 26.31% 9.44%
karma Karma
-64.47 44.12% 10.96% 0.66% 10.89%
ezreal Ezreal
-76.81 45.27% 16.26% 0.55% 16.17%
leeSin Lee Sin
-88.78 46.37% 24.44% 14.49% 20.90%

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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