Personalised Bans

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TOP SILVER BANS

tristana
#1 : TRISTANA (1)
Influence: 99
Win Rate: 52.13%
Pick Rate: 46.39%
warwick
#2 : WARWICK (1)
Influence: 98
Win Rate: 54.20%
Pick Rate: 23.33%
nasus
#3 : NASUS
Influence: 50
Win Rate: 52.62%
Pick Rate: 19.26%
brand
#4 : BRAND
Influence: 48
Win Rate: 53.57%
Pick Rate: 13.40%

nami
#5 : NAMI (1)
Influence: 42
Win Rate: 53.42%
Pick Rate: 12.39%
shyvana
#6 : SHYVANA (1)
Influence: 41
Win Rate: 53.52%
Pick Rate: 11.62%
sion
#7 : SION
Influence: 38
Win Rate: 54.49%
Pick Rate: 8.55%
yasuo
#8 : YASUO
Influence: 38
Win Rate: 51.31%
Pick Rate: 28.63%

janna
#9 : JANNA
Influence: 36
Win Rate: 51.88%
Pick Rate: 19.02%
blitzcrank
#10 : BLITZCRANK
Influence: 26
Win Rate: 52.02%
Pick Rate: 13.00%
garen
#11 : GAREN (2)
Influence: 25
Win Rate: 52.94%
Pick Rate: 8.44%
jinx
#12 : JINX (2)
Influence: 25
Win Rate: 51.52%
Pick Rate: 16.25%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
tristana Tristana
98.69 52.13% 46.39% 27.50% 33.63%
warwick Warwick
98.04 54.20% 23.33% 29.39% 16.47%
nasus Nasus
50.49 52.62% 19.26% 30.90% 13.31%
brand Brand
47.83 53.57% 13.40% 12.55% 11.72%
nami Nami
42.39 53.42% 12.39% 0.92% 12.28%
shyvana Shyvana
40.94 53.52% 11.62% 14.53% 9.93%
sion Sion
38.43 54.49% 8.55% 1.72% 8.40%
yasuo Yasuo
37.51 51.31% 28.63% 42.27% 16.53%
janna Janna
35.65 51.88% 19.02% 8.39% 17.42%
blitzcrank Blitzcrank
26.22 52.02% 13.00% 23.39% 9.96%
garen Garen
24.81 52.94% 8.44% 3.62% 8.13%
jinx Jinx
24.67 51.52% 16.25% 1.92% 15.94%
xerath Xerath
24.67 52.91% 8.47% 3.49% 8.17%
veigar Veigar
22.60 52.06% 10.96% 5.26% 10.38%
jax Jax
22.47 51.12% 19.97% 11.62% 17.65%
taric Taric
22.03 52.88% 7.65% 2.05% 7.49%
skarner Skarner
20.20 52.81% 7.19% 6.84% 6.70%
udyr Udyr
17.97 52.83% 6.34% 2.37% 6.19%
velkoz Velkoz
16.63 52.26% 7.38% 0.89% 7.31%
twitch Twitch
13.97 50.84% 16.73% 12.18% 14.69%
lulu Lulu
12.57 50.60% 21.11% 28.72% 15.05%
ahri Ahri
12.45 51.65% 7.54% 1.84% 7.40%
teemo Teemo
12.36 51.80% 6.88% 7.54% 6.36%
braum Braum
11.41 50.86% 13.27% 8.51% 12.14%
yorick Yorick
11.26 53.51% 3.21% 1.92% 3.15%
rammus Rammus
11.12 52.38% 4.67% 4.93% 4.44%
sona Sona
10.42 52.13% 4.90% 0.39% 4.88%
lux Lux
10.39 50.73% 14.28% 1.62% 14.05%
anivia Anivia
10.38 52.12% 4.89% 1.87% 4.80%
missFortune Miss Fortune
10.06 51.12% 8.95% 2.65% 8.71%
zyra Zyra
9.91 51.84% 5.38% 2.16% 5.26%
fizz Fizz
9.78 51.14% 8.56% 13.60% 7.40%
leona Leona
8.88 50.64% 13.88% 15.98% 11.66%
alistar Alistar
8.65 50.70% 12.37% 9.03% 11.25%
urgot Urgot
7.78 51.79% 4.33% 2.65% 4.22%
amumu Amumu
7.75 52.29% 3.39% 0.49% 3.37%
gangplank Gangplank
6.50 50.37% 17.44% 17.13% 14.45%
shaco Shaco
6.44 51.01% 6.39% 3.12% 6.19%
xinZhao Xin Zhao
6.19 50.89% 6.94% 3.40% 6.70%
singed Singed
6.09 52.25% 2.71% 0.69% 2.69%
malphite Malphite
5.85 50.85% 6.92% 1.99% 6.78%
ekko Ekko
5.37 50.59% 9.06% 2.95% 8.79%
ziggs Ziggs
4.38 51.38% 3.18% 0.20% 3.17%
tryndamere Tryndamere
4.22 50.76% 5.56% 3.21% 5.38%
masterYi Master Yi
4.15 50.39% 10.71% 10.93% 9.54%
varus Varus
3.93 50.22% 17.87% 7.00% 16.62%
jarvanIV Jarvan IV
3.81 50.36% 10.52% 3.70% 10.13%
zilean Zilean
3.26 50.95% 3.43% 0.41% 3.42%
kled Kled
3.22 51.26% 2.56% 1.12% 2.53%
vi Vi
2.89 50.45% 6.45% 1.15% 6.38%
illaoi Illaoi
2.63 50.46% 5.71% 15.02% 4.85%
maokai Maokai
2.23 50.46% 4.80% 1.47% 4.73%
soraka Soraka
2.16 50.34% 6.35% 1.91% 6.23%
galio Galio
1.60 50.19% 8.41% 2.73% 8.18%
malzahar Malzahar
1.55 50.27% 5.80% 15.17% 4.92%
katarina Katarina
0.97 50.07% 13.82% 34.58% 9.04%
diana Diana
0.81 50.14% 5.57% 2.86% 5.41%
trundle Trundle
0.71 50.27% 2.67% 0.27% 2.66%
aurelionSol Aurelionsol
-0.23 49.90% 2.21% 0.81% 2.19%
kayle Kayle
-0.31 49.86% 2.15% 0.40% 2.14%
monkeyKing Wukong
-0.64 49.83% 3.81% 0.59% 3.79%
heimerdinger Heimerdinger
-0.67 49.68% 2.08% 0.71% 2.07%
morgana Morgana
-0.71 49.94% 12.32% 8.15% 11.32%
drMundo Dr. Mundo
-1.14 49.49% 2.25% 0.62% 2.24%
bard Bard
-1.21 49.78% 5.48% 0.62% 5.45%
sivir Sivir
-1.80 49.65% 5.11% 0.26% 5.10%
lissandra Lissandra
-1.97 48.74% 1.56% 0.20% 1.56%
aatrox Aatrox
-1.98 49.17% 2.38% 1.31% 2.35%
karthus Karthus
-2.35 48.19% 1.30% 0.14% 1.30%
volibear Volibear
-2.47 48.16% 1.34% 0.18% 1.34%
nocturne Nocturne
-2.51 48.62% 1.82% 0.18% 1.82%
nunu Nunu
-2.54 49.30% 3.63% 3.70% 3.50%
annie Annie
-2.66 49.41% 4.50% 1.87% 4.42%
quinn Quinn
-2.85 47.74% 1.26% 0.22% 1.26%
gnar Gnar
-2.90 49.74% 11.27% 7.65% 10.41%
kindred Kindred
-3.63 48.22% 2.03% 0.23% 2.03%
mordekaiser Mordekaiser
-3.68 46.80% 1.15% 0.18% 1.15%
ivern Ivern
-3.78 47.56% 1.54% 0.20% 1.54%
chogath Cho'Gath
-4.00 49.33% 5.95% 6.10% 5.59%
rumble Rumble
-4.17 46.94% 1.36% 0.16% 1.36%
kennen Kennen
-4.48 47.55% 1.82% 0.26% 1.82%
tahmKench Tahm Kench
-4.61 49.39% 7.63% 7.41% 7.06%
zac Zac
-4.65 49.41% 7.85% 6.25% 7.36%
nautilus Nautilus
-4.80 48.62% 3.47% 0.32% 3.46%
xayah Xayah
-5.07 49.72% 18.26% 8.53% 16.70%
viktor Viktor
-5.18 48.86% 4.56% 0.37% 4.54%
shen Shen
-5.20 49.28% 7.22% 0.82% 7.16%
pantheon Pantheon
-5.87 48.36% 3.58% 2.96% 3.47%
renekton Renekton
-5.90 48.20% 3.27% 1.00% 3.24%
fiddlesticks Fiddlesticks
-5.95 48.08% 3.10% 0.48% 3.09%
poppy Poppy
-5.98 47.33% 2.24% 0.16% 2.24%
talon Talon
-6.02 48.10% 3.18% 1.16% 3.14%
jayce Jayce
-6.05 48.26% 3.48% 2.20% 3.40%
hecarim Hecarim
-6.29 47.53% 2.54% 0.69% 2.52%
olaf Olaf
-6.54 46.09% 1.67% 0.26% 1.67%
cassiopeia Cassiopeia
-6.59 48.10% 3.48% 0.81% 3.45%
ashe Ashe
-6.72 48.73% 5.30% 0.40% 5.28%
fiora Fiora
-6.82 49.02% 6.94% 9.65% 6.27%
rekSai Rek'Sai
-6.94 45.89% 1.68% 0.17% 1.68%
draven Draven
-7.69 49.44% 13.85% 19.44% 11.16%
irelia Irelia
-8.47 48.26% 4.88% 1.56% 4.80%
taliyah Taliyah
-8.70 47.66% 3.72% 0.29% 3.71%
corki Corki
-9.28 48.26% 5.33% 0.63% 5.30%
elise Elise
-9.50 45.42% 2.08% 0.36% 2.07%
orianna Orianna
-9.52 48.96% 9.15% 1.42% 9.02%
akali Akali
-10.15 48.69% 7.75% 9.41% 7.02%
darius Darius
-10.23 48.78% 8.40% 19.03% 6.80%
sejuani Sejuani
-10.36 49.10% 11.58% 13.19% 10.05%
kogMaw Kog'Maw
-10.68 47.16% 3.75% 5.94% 3.53%
graves Graves
-10.72 44.66% 2.00% 0.11% 2.00%
evelynn Evelynn
-10.96 47.92% 5.26% 18.11% 4.31%
ornn Ornn
-11.64 47.54% 4.74% 7.11% 4.40%
syndra Syndra
-12.90 45.76% 3.05% 0.83% 3.02%
twistedFate Twisted Fate
-12.94 47.89% 6.14% 0.46% 6.11%
vayne Vayne
-13.46 49.53% 28.79% 30.98% 19.87%
kayn Kayn
-14.05 48.95% 13.38% 12.71% 11.68%
leblanc Leblanc
-14.64 45.94% 3.61% 1.86% 3.54%
kalista Kalista
-15.36 45.87% 3.72% 0.90% 3.69%
karma Karma
-15.56 47.28% 5.73% 0.33% 5.71%
rakan Rakan
-17.36 48.21% 9.71% 1.67% 9.55%
riven Riven
-17.99 48.63% 13.16% 5.48% 12.44%
kassadin Kassadin
-18.23 45.40% 3.97% 3.77% 3.82%
jhin Jhin
-18.58 47.16% 6.55% 0.61% 6.51%
swain Swain
-19.26 48.15% 10.40% 19.35% 8.39%
gragas Gragas
-20.62 43.20% 3.03% 0.14% 3.03%
camille Camille
-21.60 48.03% 10.93% 13.48% 9.46%
zed Zed
-23.93 48.58% 16.91% 40.58% 10.05%
rengar Rengar
-26.13 45.21% 5.46% 2.34% 5.33%
azir Azir
-29.78 45.59% 6.75% 8.19% 6.20%
nidalee Nidalee
-29.86 43.51% 4.60% 1.30% 4.54%
lucian Lucian
-31.20 47.12% 10.82% 1.02% 10.71%
khazix Khazix
-32.51 47.43% 12.66% 18.85% 10.27%
caitlyn Caitlyn
-37.11 48.12% 19.74% 5.62% 18.63%
ryze Ryze
-38.57 40.17% 3.93% 0.95% 3.89%
vladimir Vladimir
-39.32 45.76% 9.26% 17.93% 7.60%
thresh Thresh
-52.19 47.24% 18.92% 5.19% 17.94%
ezreal Ezreal
-56.86 46.53% 16.39% 5.26% 15.53%
leeSin Lee Sin
-59.73 45.61% 13.61% 5.04% 12.92%

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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