Personalised Bans

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TOP SILVER BANS

yasuo
#1 : YASUO
Influence: 251
Win Rate: 53.64%
Pick Rate: 69.06%
nasus
#2 : NASUS
Influence: 118
Win Rate: 55.23%
Pick Rate: 22.48%
lux
#3 : LUX (2)
Influence: 83
Win Rate: 53.68%
Pick Rate: 22.49%
yorick
#4 : YORICK
Influence: 79
Win Rate: 56.81%
Pick Rate: 11.64%

jinx
#5 : JINX (2)
Influence: 79
Win Rate: 54.04%
Pick Rate: 19.61%
nami
#6 : NAMI
Influence: 60
Win Rate: 54.68%
Pick Rate: 12.75%
sona
#7 : SONA
Influence: 44
Win Rate: 56.16%
Pick Rate: 7.15%
jax
#8 : JAX (6)
Influence: 40
Win Rate: 51.44%
Pick Rate: 28.05%

masterYi
#9 : MASTER YI (2)
Influence: 40
Win Rate: 52.37%
Pick Rate: 16.86%
missFortune
#10 : MISS FORTUNE
Influence: 38
Win Rate: 52.80%
Pick Rate: 13.65%
sivir
#11 : SIVIR (2)
Influence: 38
Win Rate: 53.47%
Pick Rate: 10.87%
vayne
#12 : VAYNE
Influence: 38
Win Rate: 51.05%
Pick Rate: 36.00%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
yasuo Yasuo
251.32 53.64% 69.06% 66.16% 23.37%
nasus Nasus
117.58 55.23% 22.48% 37.63% 14.02%
lux Lux
82.69 53.68% 22.49% 5.54% 21.24%
yorick Yorick
79.31 56.81% 11.64% 11.87% 10.26%
jinx Jinx
79.11 54.04% 19.61% 3.06% 19.01%
nami Nami
59.66 54.68% 12.75% 1.33% 12.58%
sona Sona
44.08 56.16% 7.15% 0.60% 7.11%
jax Jax
40.31 51.44% 28.05% 37.07% 17.65%
masterYi Master Yi
39.92 52.37% 16.86% 26.65% 12.37%
missFortune Miss Fortune
38.21 52.80% 13.65% 4.85% 12.99%
sivir Sivir
37.73 53.47% 10.87% 1.39% 10.72%
vayne Vayne
37.71 51.05% 36.00% 26.91% 26.31%
brand Brand
37.28 53.18% 11.74% 20.55% 9.33%
blitzcrank Blitzcrank
35.07 53.06% 11.49% 17.03% 9.53%
garen Garen
34.89 53.17% 11.01% 9.18% 10.00%
soraka Soraka
34.89 53.95% 8.85% 2.92% 8.59%
jarvanIV Jarvan IV
32.67 53.07% 10.63% 1.54% 10.47%
draven Draven
29.74 51.32% 22.48% 47.34% 11.84%
veigar Veigar
28.19 52.68% 10.51% 4.84% 10.00%
karthus Karthus
26.28 52.29% 11.48% 28.20% 8.24%
ahri Ahri
25.60 52.42% 10.57% 4.84% 10.06%
rammus Rammus
25.44 54.88% 5.21% 3.89% 5.01%
sejuani Sejuani
24.11 53.64% 6.63% 3.32% 6.41%
malzahar Malzahar
23.77 52.29% 10.38% 7.80% 9.57%
twitch Twitch
22.76 52.32% 9.82% 2.75% 9.55%
nunu Nunu
22.29 55.06% 4.41% 1.35% 4.35%
morgana Morgana
21.49 51.09% 19.77% 24.84% 14.86%
amumu Amumu
18.32 54.88% 3.75% 0.53% 3.73%
vi Vi
18.26 53.00% 6.10% 0.76% 6.05%
xerath Xerath
17.36 52.94% 5.90% 1.17% 5.83%
fizz Fizz
17.00 51.81% 9.40% 14.28% 8.06%
velkoz Velkoz
16.17 51.95% 8.30% 1.71% 8.16%
malphite Malphite
14.12 51.57% 8.99% 1.90% 8.82%
udyr Udyr
13.14 51.93% 6.83% 3.49% 6.59%
katarina Katarina
12.07 51.20% 10.10% 8.44% 9.25%
janna Janna
10.80 51.29% 8.37% 0.58% 8.32%
teemo Teemo
10.64 51.24% 8.60% 8.70% 7.85%
taric Taric
10.02 53.95% 2.54% 0.22% 2.53%
kled Kled
9.88 53.36% 2.95% 1.54% 2.90%
volibear Volibear
9.50 52.42% 3.92% 0.62% 3.90%
shyvana Shyvana
9.12 52.34% 3.90% 0.96% 3.86%
illaoi Illaoi
8.43 51.59% 5.30% 9.73% 4.78%
ziggs Ziggs
8.02 53.29% 2.44% 0.27% 2.43%
tristana Tristana
7.96 50.62% 12.84% 1.84% 12.60%
evelynn Evelynn
7.39 51.69% 4.37% 5.26% 4.14%
lulu Lulu
7.03 50.57% 12.40% 6.27% 11.62%
warwick Warwick
6.70 51.12% 5.98% 2.33% 5.84%
zilean Zilean
6.63 51.84% 3.61% 0.86% 3.58%
anivia Anivia
6.55 52.83% 2.31% 0.64% 2.30%
diana Diana
5.76 50.93% 6.18% 4.15% 5.92%
kennen Kennen
5.73 51.32% 4.36% 1.40% 4.30%
maokai Maokai
4.98 52.67% 1.86% 0.21% 1.86%
drMundo Dr. Mundo
4.89 52.19% 2.23% 1.11% 2.21%
jhin Jhin
4.88 50.37% 13.19% 2.82% 12.82%
nocturne Nocturne
4.54 50.86% 5.29% 2.25% 5.17%
caitlyn Caitlyn
4.48 50.22% 20.59% 9.56% 18.62%
zyra Zyra
4.33 50.53% 8.25% 8.49% 7.55%
kayle Kayle
4.26 51.74% 2.46% 0.32% 2.45%
ashe Ashe
3.34 50.53% 6.34% 0.40% 6.31%
annie Annie
3.23 50.85% 3.81% 1.55% 3.75%
monkeyKing Wukong
3.17 50.76% 4.17% 0.55% 4.15%
nautilus Nautilus
2.23 50.59% 3.78% 0.43% 3.76%
singed Singed
2.21 51.77% 1.25% 0.15% 1.25%
swain Swain
1.83 50.65% 2.84% 0.60% 2.82%
karma Karma
1.69 50.27% 6.25% 0.53% 6.22%
orianna Orianna
1.26 50.21% 5.95% 0.62% 5.91%
kogMaw Kog'Maw
1.00 50.62% 1.61% 0.16% 1.61%
zac Zac
0.79 50.22% 3.67% 0.71% 3.64%
mordekaiser Mordekaiser
0.78 50.53% 1.47% 0.54% 1.46%
quinn Quinn
0.73 50.36% 2.07% 0.50% 2.06%
skarner Skarner
0.58 50.90% 0.65% 0.10% 0.65%
leona Leona
0.50 50.04% 14.19% 12.34% 12.44%
taliyah Taliyah
0.34 50.59% 0.57% 0.07% 0.57%
viktor Viktor
0.26 50.11% 2.31% 0.39% 2.30%
ivern Ivern
0.14 50.06% 2.18% 0.72% 2.16%
kindred Kindred
0.00 50.00% 2.79% 0.66% 2.77%
rakan Rakan
-0.02 49.99% 3.16% 0.36% 3.15%
khazix Khazix
-0.29 49.98% 14.25% 13.00% 12.40%
zed Zed
-0.54 49.99% 43.28% 59.66% 17.46%
corki Corki
-0.79 49.65% 2.29% 0.28% 2.28%
thresh Thresh
-1.01 49.97% 31.00% 15.39% 26.23%
rumble Rumble
-1.16 49.28% 1.61% 0.18% 1.61%
shen Shen
-1.35 49.56% 3.09% 0.16% 3.09%
elise Elise
-1.37 49.53% 2.92% 0.48% 2.91%
trundle Trundle
-1.57 49.21% 1.99% 0.22% 1.99%
twistedFate Twisted Fate
-1.66 49.29% 2.33% 0.09% 2.33%
ekko Ekko
-1.87 49.75% 7.33% 3.29% 7.09%
kassadin Kassadin
-2.12 49.53% 4.47% 3.72% 4.30%
poppy Poppy
-2.78 49.08% 3.02% 0.78% 3.00%
sion Sion
-3.16 49.41% 5.37% 1.10% 5.31%
bard Bard
-3.35 48.63% 2.44% 0.26% 2.43%
shaco Shaco
-3.56 49.17% 4.30% 2.43% 4.20%
hecarim Hecarim
-3.65 49.31% 5.30% 1.26% 5.23%
renekton Renekton
-4.15 49.53% 8.84% 6.34% 8.28%
heimerdinger Heimerdinger
-4.16 48.28% 2.42% 0.95% 2.40%
aurelionSol Aurelionsol
-4.26 42.28% 0.55% 0.37% 0.55%
cassiopeia Cassiopeia
-4.50 48.08% 2.35% 1.26% 2.32%
fiddlesticks Fiddlesticks
-4.98 48.70% 3.81% 0.91% 3.78%
xayah Xayah
-5.33 48.75% 4.26% 0.81% 4.23%
tryndamere Tryndamere
-5.39 49.29% 7.54% 5.82% 7.10%
fiora Fiora
-5.56 49.11% 6.27% 6.22% 5.88%
alistar Alistar
-6.55 48.94% 6.16% 2.43% 6.01%
talon Talon
-6.62 48.64% 4.88% 2.20% 4.77%
kalista Kalista
-6.79 47.02% 2.28% 0.28% 2.27%
graves Graves
-6.85 47.95% 3.33% 0.71% 3.31%
vladimir Vladimir
-6.92 49.37% 10.99% 12.16% 9.65%
gnar Gnar
-7.06 47.26% 2.58% 0.67% 2.56%
lissandra Lissandra
-7.12 48.73% 5.61% 5.96% 5.28%
jayce Jayce
-7.13 48.48% 4.70% 1.69% 4.62%
braum Braum
-7.87 49.16% 9.32% 4.95% 8.86%
syndra Syndra
-8.10 47.89% 3.83% 0.88% 3.80%
galio Galio
-8.14 46.61% 2.40% 0.87% 2.38%
darius Darius
-8.58 49.57% 20.06% 46.07% 10.82%
xinZhao Xin Zhao
-9.37 48.85% 8.15% 4.49% 7.78%
rekSai Rek'Sai
-9.61 42.03% 1.20% 0.28% 1.20%
tahmKench Tahm Kench
-9.70 45.86% 2.34% 0.56% 2.33%
urgot Urgot
-10.73 48.43% 6.81% 7.74% 6.28%
chogath Cho'Gath
-11.65 46.66% 3.49% 1.14% 3.45%
camille Camille
-12.25 45.38% 2.65% 1.99% 2.60%
aatrox Aatrox
-12.71 44.43% 2.28% 5.37% 2.16%
olaf Olaf
-13.63 45.58% 3.09% 0.52% 3.07%
pantheon Pantheon
-13.81 47.58% 5.70% 4.10% 5.47%
varus Varus
-13.91 45.92% 3.41% 0.41% 3.40%
leblanc Leblanc
-14.94 47.85% 6.94% 9.75% 6.26%
azir Azir
-15.81 40.43% 1.66% 0.39% 1.65%
lucian Lucian
-15.99 49.32% 23.43% 13.53% 20.26%
gangplank Gangplank
-16.00 44.52% 2.92% 0.41% 2.91%
nidalee Nidalee
-18.45 42.11% 2.34% 0.17% 2.34%
riven Riven
-20.03 48.32% 11.91% 5.72% 11.23%
ryze Ryze
-23.25 41.00% 2.58% 0.18% 2.58%
gragas Gragas
-24.57 42.65% 3.35% 0.23% 3.34%
akali Akali
-25.79 39.87% 2.55% 7.27% 2.36%
irelia Irelia
-29.57 46.66% 8.84% 8.48% 8.09%
rengar Rengar
-29.62 46.61% 8.74% 5.04% 8.30%
ezreal Ezreal
-49.01 47.61% 20.51% 6.14% 19.25%
leeSin Lee Sin
-57.01 47.26% 20.83% 9.60% 18.83%

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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