Personalised Bans

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TOP SILVER BANS

janna
#1 : JANNA
Influence: 215
Win Rate: 56.03%
Pick Rate: 35.70%
twitch
#2 : TWITCH
Influence: 90
Win Rate: 52.99%
Pick Rate: 30.15%
jax
#3 : JAX
Influence: 85
Win Rate: 54.03%
Pick Rate: 20.99%
soraka
#4 : SORAKA
Influence: 45
Win Rate: 53.95%
Pick Rate: 11.51%

ahri
#5 : AHRI (4)
Influence: 40
Win Rate: 53.03%
Pick Rate: 13.11%
teemo
#6 : TEEMO (6)
Influence: 36
Win Rate: 54.64%
Pick Rate: 7.75%
rammus
#7 : RAMMUS (2)
Influence: 34
Win Rate: 55.55%
Pick Rate: 6.08%
brand
#8 : BRAND (1)
Influence: 33
Win Rate: 53.20%
Pick Rate: 10.37%

sejuani
#9 : SEJUANI (9)
Influence: 29
Win Rate: 53.67%
Pick Rate: 7.82%
jhin
#10 : JHIN (26)
Influence: 29
Win Rate: 52.13%
Pick Rate: 13.40%
rakan
#11 : RAKAN (3)
Influence: 28
Win Rate: 53.33%
Pick Rate: 8.49%
tristana
#12 : TRISTANA (26)
Influence: 28
Win Rate: 50.81%
Pick Rate: 34.86%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
215.10 56.03% 35.70% 25.80% 26.49%
twitch Twitch
90.05 52.99% 30.15% 24.04% 22.90%
jax Jax
84.68 54.03% 20.99% 18.47% 17.11%
soraka Soraka
45.42 53.95% 11.51% 5.21% 10.91%
ahri Ahri
39.72 53.03% 13.11% 6.67% 12.24%
teemo Teemo
35.98 54.64% 7.75% 5.95% 7.29%
rammus Rammus
33.76 55.55% 6.08% 3.83% 5.85%
brand Brand
33.20 53.20% 10.37% 6.05% 9.74%
sejuani Sejuani
28.73 53.67% 7.82% 8.85% 7.13%
jhin Jhin
28.58 52.13% 13.40% 1.78% 13.16%
rakan Rakan
28.25 53.33% 8.49% 2.44% 8.28%
tristana Tristana
28.24 50.81% 34.86% 12.45% 30.52%
warwick Warwick
27.88 52.56% 10.87% 10.05% 9.78%
missFortune Miss Fortune
25.67 52.91% 8.81% 0.87% 8.73%
vayne Vayne
23.71 50.86% 27.66% 13.52% 23.92%
sona Sona
22.92 52.01% 11.39% 1.24% 11.25%
kayle Kayle
22.15 54.93% 4.50% 1.29% 4.44%
vladimir Vladimir
21.48 52.19% 9.83% 16.89% 8.17%
velkoz Velkoz
21.32 54.60% 4.64% 0.34% 4.62%
yorick Yorick
21.13 58.03% 2.64% 0.95% 2.61%
malzahar Malzahar
20.82 52.14% 9.71% 9.71% 8.77%
masterYi Master Yi
20.74 51.47% 14.08% 25.91% 10.43%
fiora Fiora
19.22 52.69% 7.16% 16.72% 5.96%
darius Darius
17.86 51.22% 14.64% 35.91% 9.38%
lulu Lulu
17.19 50.90% 19.09% 11.58% 16.88%
draven Draven
16.60 51.13% 14.72% 35.40% 9.51%
talon Talon
16.05 53.27% 4.91% 3.90% 4.72%
vi Vi
16.05 53.06% 5.25% 0.88% 5.20%
sion Sion
15.96 53.60% 4.43% 0.47% 4.41%
xerath Xerath
15.26 55.53% 2.76% 0.32% 2.75%
anivia Anivia
15.18 52.88% 5.27% 4.55% 5.03%
ivern Ivern
14.91 65.29% 0.97% 0.49% 0.97%
pantheon Pantheon
13.77 51.74% 7.93% 12.34% 6.95%
kogMaw Kog'Maw
13.72 51.56% 8.81% 4.91% 8.38%
morgana Morgana
12.37 51.10% 11.26% 5.54% 10.64%
leona Leona
11.92 51.58% 7.56% 1.88% 7.42%
nasus Nasus
11.50 50.90% 12.85% 19.75% 10.31%
alistar Alistar
11.38 51.59% 7.15% 2.54% 6.97%
singed Singed
11.26 53.86% 2.91% 1.20% 2.88%
aurelionSol Aurelionsol
9.57 56.13% 1.56% 0.76% 1.55%
ziggs Ziggs
9.47 52.13% 4.46% 0.46% 4.44%
swain Swain
9.22 52.99% 3.08% 0.90% 3.05%
twistedFate Twisted Fate
8.54 50.77% 11.16% 1.91% 10.95%
diana Diana
8.22 51.63% 5.05% 2.45% 4.93%
jayce Jayce
7.22 51.30% 5.57% 3.28% 5.39%
annie Annie
6.99 50.84% 8.32% 6.51% 7.78%
xinZhao Xin Zhao
6.78 50.93% 7.26% 1.62% 7.14%
taric Taric
6.05 51.62% 3.74% 0.63% 3.72%
shaco Shaco
5.91 51.64% 3.62% 2.09% 3.54%
kindred Kindred
5.85 54.33% 1.35% 0.21% 1.35%
garen Garen
5.49 50.82% 6.71% 2.74% 6.53%
khazix Khazix
5.42 50.54% 10.13% 6.61% 9.46%
corki Corki
5.12 50.99% 5.15% 1.56% 5.07%
trundle Trundle
3.36 50.86% 3.91% 0.63% 3.89%
skarner Skarner
3.24 52.61% 1.24% 0.15% 1.24%
veigar Veigar
3.07 50.40% 7.64% 1.90% 7.49%
monkeyKing Wukong
2.33 50.48% 4.88% 1.08% 4.83%
blitzcrank Blitzcrank
2.04 50.09% 21.48% 40.40% 12.80%
drMundo Dr. Mundo
1.58 50.38% 4.16% 1.37% 4.10%
olaf Olaf
1.58 50.50% 3.19% 0.73% 3.17%
udyr Udyr
0.93 50.61% 1.53% 0.26% 1.53%
ekko Ekko
0.23 50.03% 9.17% 4.08% 8.80%
akali Akali
-0.12 49.98% 4.78% 7.46% 4.42%
hecarim Hecarim
-0.19 49.95% 3.94% 1.06% 3.90%
jarvanIV Jarvan IV
-0.60 49.97% 19.87% 8.44% 18.19%
maokai Maokai
-0.67 49.96% 17.88% 31.95% 12.17%
katarina Katarina
-0.71 49.88% 5.93% 10.26% 5.32%
amumu Amumu
-0.79 49.84% 4.85% 1.17% 4.79%
graves Graves
-1.49 49.67% 4.53% 0.86% 4.49%
gnar Gnar
-1.84 49.62% 4.85% 1.18% 4.79%
chogath Cho'Gath
-1.86 49.91% 20.65% 58.30% 8.61%
volibear Volibear
-1.88 48.90% 1.71% 0.24% 1.71%
shyvana Shyvana
-1.93 49.58% 4.54% 0.44% 4.52%
aatrox Aatrox
-2.11 47.86% 0.99% 1.86% 0.97%
illaoi Illaoi
-2.30 49.23% 3.01% 2.86% 2.92%
tahmKench Tahm Kench
-2.34 49.08% 2.55% 0.87% 2.53%
quinn Quinn
-2.61 48.73% 2.06% 0.42% 2.05%
braum Braum
-2.68 49.64% 7.49% 3.22% 7.25%
mordekaiser Mordekaiser
-3.54 47.46% 1.40% 0.37% 1.39%
lissandra Lissandra
-4.62 47.64% 1.96% 0.38% 1.95%
nunu Nunu
-4.81 48.17% 2.63% 0.45% 2.62%
bard Bard
-4.83 49.12% 5.50% 0.81% 5.46%
azir Azir
-4.94 47.87% 2.33% 0.65% 2.31%
rumble Rumble
-5.73 48.72% 4.47% 0.85% 4.43%
heimerdinger Heimerdinger
-5.74 47.03% 1.94% 0.56% 1.93%
tryndamere Tryndamere
-5.79 49.22% 7.45% 7.48% 6.89%
varus Varus
-6.13 48.84% 5.30% 0.26% 5.29%
irelia Irelia
-6.31 48.86% 5.53% 1.78% 5.43%
jinx Jinx
-6.77 49.52% 13.96% 0.71% 13.86%
camille Camille
-6.92 47.97% 3.41% 3.04% 3.31%
viktor Viktor
-7.15 48.57% 5.00% 0.62% 4.97%
ashe Ashe
-7.92 49.24% 10.45% 0.68% 10.38%
nocturne Nocturne
-8.73 47.67% 3.75% 0.54% 3.73%
zac Zac
-8.78 48.47% 5.73% 28.81% 4.08%
shen Shen
-9.19 48.24% 5.23% 0.60% 5.20%
kennen Kennen
-9.75 46.85% 3.10% 0.91% 3.07%
zyra Zyra
-9.93 47.52% 4.00% 1.95% 3.92%
kled Kled
-10.14 46.00% 2.53% 1.59% 2.49%
nidalee Nidalee
-10.34 46.72% 3.15% 0.35% 3.14%
poppy Poppy
-10.45 46.07% 2.66% 0.14% 2.66%
karthus Karthus
-11.75 43.32% 1.76% 0.23% 1.76%
zilean Zilean
-12.63 44.83% 2.44% 0.51% 2.43%
lux Lux
-14.64 48.77% 11.90% 1.27% 11.75%
nami Nami
-15.68 48.18% 8.62% 0.34% 8.59%
sivir Sivir
-17.22 47.87% 8.09% 0.53% 8.05%
xayah Xayah
-17.34 48.14% 9.33% 4.07% 8.95%
ryze Ryze
-17.52 41.45% 2.04% 0.21% 2.04%
yasuo Yasuo
-17.95 49.19% 22.08% 41.53% 12.91%
urgot Urgot
-18.12 45.62% 4.14% 8.11% 3.80%
fiddlesticks Fiddlesticks
-20.00 43.90% 3.27% 0.72% 3.25%
renekton Renekton
-20.01 48.11% 10.61% 5.91% 9.98%
rengar Rengar
-20.13 42.78% 2.79% 0.67% 2.77%
evelynn Evelynn
-20.35 46.76% 6.28% 16.53% 5.24%
gragas Gragas
-20.51 48.17% 11.19% 2.68% 10.89%
gangplank Gangplank
-21.41 47.06% 7.28% 2.31% 7.11%
leblanc Leblanc
-21.98 44.70% 4.14% 5.91% 3.90%
nautilus Nautilus
-22.80 44.41% 4.07% 0.36% 4.06%
galio Galio
-27.93 44.50% 5.08% 3.67% 4.89%
rekSai Rek'Sai
-28.11 42.89% 3.96% 1.46% 3.90%
orianna Orianna
-28.25 48.00% 14.11% 5.86% 13.28%
karma Karma
-29.01 45.36% 6.25% 0.32% 6.23%
malphite Malphite
-29.91 46.15% 7.77% 2.68% 7.56%
elise Elise
-30.06 44.60% 5.57% 4.93% 5.30%
cassiopeia Cassiopeia
-31.74 42.18% 4.06% 1.98% 3.98%
syndra Syndra
-37.45 44.82% 7.22% 5.16% 6.85%
ezreal Ezreal
-37.95 45.23% 7.95% 0.85% 7.88%
fizz Fizz
-39.12 46.37% 10.77% 27.03% 7.86%
riven Riven
-40.19 47.45% 15.77% 7.80% 14.54%
taliyah Taliyah
-41.33 42.49% 5.50% 1.34% 5.43%
zed Zed
-46.95 47.28% 17.22% 39.68% 10.39%
kalista Kalista
-48.88 40.45% 5.11% 0.68% 5.08%
caitlyn Caitlyn
-63.64 46.12% 16.41% 17.59% 13.52%
kassadin Kassadin
-66.71 42.77% 9.22% 16.03% 7.74%
lucian Lucian
-69.91 46.25% 18.65% 2.91% 18.11%
leeSin Lee Sin
-78.01 46.41% 21.71% 13.22% 18.84%
thresh Thresh
-82.31 46.95% 26.99% 13.04% 23.47%

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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