Personalised Bans

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TOP SILVER BANS

ahri
#1 : AHRI
Influence: 207
Win Rate: 55.57%
Pick Rate: 37.15%
caitlyn
#2 : CAITLYN
Influence: 56
Win Rate: 51.34%
Pick Rate: 41.85%
zac
#3 : ZAC (2)
Influence: 48
Win Rate: 55.50%
Pick Rate: 8.66%
yasuo
#4 : YASUO
Influence: 45
Win Rate: 51.17%
Pick Rate: 38.25%

twitch
#5 : TWITCH (1)
Influence: 42
Win Rate: 52.57%
Pick Rate: 16.32%
fiora
#6 : FIORA (3)
Influence: 36
Win Rate: 51.62%
Pick Rate: 22.37%
masterYi
#7 : MASTER YI (2)
Influence: 34
Win Rate: 52.22%
Pick Rate: 15.54%
blitzcrank
#8 : BLITZCRANK (2)
Influence: 33
Win Rate: 52.71%
Pick Rate: 12.31%

xinZhao
#9 : XIN ZHAO (2)
Influence: 32
Win Rate: 53.72%
Pick Rate: 8.62%
morgana
#10 : MORGANA (2)
Influence: 29
Win Rate: 51.38%
Pick Rate: 21.11%
sona
#11 : SONA
Influence: 28
Win Rate: 54.44%
Pick Rate: 6.34%
missFortune
#12 : MISS FORTUNE (3)
Influence: 26
Win Rate: 53.27%
Pick Rate: 7.82%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
ahri Ahri
207.05 55.57% 37.15% 31.69% 25.38%
caitlyn Caitlyn
56.08 51.34% 41.85% 10.90% 37.29%
zac Zac
47.62 55.50% 8.66% 5.13% 8.22%
yasuo Yasuo
44.74 51.17% 38.25% 60.52% 15.10%
twitch Twitch
41.89 52.57% 16.32% 1.58% 16.06%
fiora Fiora
36.11 51.62% 22.37% 44.96% 12.31%
masterYi Master Yi
34.48 52.22% 15.54% 6.48% 14.53%
blitzcrank Blitzcrank
33.39 52.71% 12.31% 3.77% 11.85%
xinZhao Xin Zhao
32.08 53.72% 8.62% 0.79% 8.55%
morgana Morgana
29.07 51.38% 21.11% 4.21% 20.22%
sona Sona
28.14 54.44% 6.34% 0.11% 6.33%
missFortune Miss Fortune
25.59 53.27% 7.82% 0.21% 7.80%
brand Brand
25.28 53.81% 6.64% 0.82% 6.59%
tryndamere Tryndamere
25.22 53.66% 6.89% 1.21% 6.81%
jinx Jinx
23.06 51.41% 16.29% 0.46% 16.22%
nami Nami
21.65 51.91% 11.37% 0.07% 11.36%
annie Annie
19.75 52.99% 6.61% 0.78% 6.56%
amumu Amumu
16.67 52.67% 6.24% 0.46% 6.21%
janna Janna
16.58 51.74% 9.52% 0.26% 9.50%
anivia Anivia
16.39 55.52% 2.97% 0.30% 2.96%
leona Leona
15.96 51.90% 8.40% 0.29% 8.38%
jarvanIV Jarvan IV
15.82 53.61% 4.38% 0.06% 4.38%
yorick Yorick
15.56 54.33% 3.60% 0.65% 3.58%
draven Draven
14.36 52.12% 6.78% 1.45% 6.68%
soraka Soraka
13.77 52.17% 6.33% 0.36% 6.31%
riven Riven
13.08 50.77% 16.98% 3.97% 16.31%
orianna Orianna
11.98 50.70% 17.05% 1.90% 16.73%
teemo Teemo
11.28 52.16% 5.23% 0.52% 5.20%
warwick Warwick
10.46 51.73% 6.06% 0.41% 6.04%
braum Braum
10.42 51.26% 8.29% 0.39% 8.26%
shaco Shaco
9.80 50.98% 9.99% 9.03% 9.09%
veigar Veigar
9.30 51.50% 6.19% 0.83% 6.14%
swain Swain
8.78 52.43% 3.61% 0.39% 3.60%
ivern Ivern
8.16 51.44% 5.64% 7.14% 5.24%
thresh Thresh
8.10 50.28% 29.19% 1.41% 28.78%
nunu Nunu
7.64 53.48% 2.20% 0.07% 2.20%
illaoi Illaoi
6.64 51.42% 4.68% 10.20% 4.20%
heimerdinger Heimerdinger
6.23 51.78% 3.50% 0.37% 3.49%
jax Jax
6.04 50.71% 8.57% 0.54% 8.52%
zyra Zyra
6.01 50.77% 7.75% 1.04% 7.67%
garen Garen
5.96 50.97% 6.14% 0.84% 6.09%
velkoz Velkoz
5.62 51.87% 3.00% 0.10% 3.00%
malphite Malphite
5.26 51.22% 4.31% 0.30% 4.30%
monkeyKing Wukong
5.10 51.86% 2.74% 0.05% 2.74%
kayle Kayle
4.80 51.49% 3.23% 0.25% 3.22%
bard Bard
3.56 50.52% 6.91% 0.26% 6.89%
xerath Xerath
3.35 51.53% 2.18% 0.09% 2.18%
sion Sion
3.02 52.03% 1.48% 0.02% 1.48%
pantheon Pantheon
2.94 50.40% 7.41% 2.70% 7.21%
ziggs Ziggs
2.57 50.67% 3.85% 0.16% 3.84%
nocturne Nocturne
2.41 51.07% 2.24% 0.03% 2.24%
karthus Karthus
2.12 51.98% 1.07% 0.05% 1.07%
kindred Kindred
2.12 51.44% 1.47% 0.05% 1.47%
vi Vi
2.00 50.35% 5.68% 0.20% 5.67%
kled Kled
1.66 50.40% 4.19% 2.53% 4.08%
nasus Nasus
1.54 50.39% 3.97% 0.24% 3.96%
rumble Rumble
1.44 50.21% 6.87% 0.52% 6.83%
fiddlesticks Fiddlesticks
1.29 50.41% 3.13% 0.33% 3.12%
diana Diana
1.06 50.38% 2.76% 0.57% 2.74%
taric Taric
-0.03 49.98% 1.98% 0.03% 1.98%
ekko Ekko
-0.24 49.98% 13.48% 12.23% 11.83%
rammus Rammus
-0.35 49.88% 2.95% 0.46% 2.94%
mordekaiser Mordekaiser
-0.96 49.03% 0.99% 0.11% 0.99%
shyvana Shyvana
-1.01 49.48% 1.93% 0.05% 1.93%
sejuani Sejuani
-1.24 49.78% 5.58% 16.06% 4.68%
zilean Zilean
-1.52 49.61% 3.91% 0.22% 3.90%
kalista Kalista
-1.60 49.32% 2.36% 0.06% 2.36%
kogMaw Kog'Maw
-1.95 49.40% 3.23% 0.16% 3.22%
lux Lux
-2.04 49.84% 12.37% 0.45% 12.31%
irelia Irelia
-2.09 49.70% 6.98% 1.97% 6.84%
alistar Alistar
-2.10 49.56% 4.75% 0.23% 4.74%
quinn Quinn
-2.20 48.94% 2.07% 0.19% 2.07%
renekton Renekton
-2.33 49.76% 9.73% 2.96% 9.44%
hecarim Hecarim
-2.42 49.15% 2.84% 0.12% 2.84%
singed Singed
-2.56 48.85% 2.22% 0.20% 2.22%
chogath Cho'Gath
-2.69 48.77% 2.19% 0.31% 2.18%
darius Darius
-3.09 49.81% 15.85% 37.43% 9.92%
aatrox Aatrox
-3.16 46.16% 0.82% 0.59% 0.82%
lissandra Lissandra
-3.27 48.52% 2.20% 0.05% 2.20%
udyr Udyr
-3.33 47.28% 1.22% 0.04% 1.22%
akali Akali
-3.37 49.01% 3.41% 0.61% 3.39%
corki Corki
-3.47 45.57% 0.78% 0.04% 0.78%
urgot Urgot
-3.58 42.89% 0.50% 0.13% 0.50%
rekSai Rek'Sai
-3.85 44.52% 0.70% 0.02% 0.70%
skarner Skarner
-3.91 45.98% 0.97% 0.07% 0.97%
volibear Volibear
-4.16 47.57% 1.71% 0.07% 1.71%
aurelionSol Aurelionsol
-4.32 43.47% 0.66% 0.21% 0.66%
shen Shen
-4.53 49.38% 7.27% 0.47% 7.24%
malzahar Malzahar
-5.02 48.38% 3.10% 1.62% 3.05%
ashe Ashe
-5.06 49.72% 17.77% 0.40% 17.70%
drMundo Dr. Mundo
-5.23 46.01% 1.31% 0.26% 1.31%
gnar Gnar
-5.63 48.43% 3.57% 0.28% 3.56%
maokai Maokai
-5.64 48.70% 4.34% 1.28% 4.28%
trundle Trundle
-5.84 46.77% 1.81% 0.12% 1.81%
khazix Khazix
-5.88 49.51% 12.13% 1.24% 11.98%
sivir Sivir
-6.74 47.63% 2.85% 0.02% 2.85%
varus Varus
-6.92 49.18% 8.38% 0.16% 8.37%
nautilus Nautilus
-7.23 48.92% 6.69% 0.26% 6.67%
evelynn Evelynn
-7.34 48.35% 4.46% 0.95% 4.42%
taliyah Taliyah
-7.34 47.52% 2.97% 0.23% 2.96%
twistedFate Twisted Fate
-7.92 47.78% 3.57% 0.07% 3.57%
talon Talon
-8.47 48.00% 4.24% 1.62% 4.17%
azir Azir
-9.07 43.84% 1.47% 0.33% 1.47%
viktor Viktor
-9.32 47.64% 3.95% 0.10% 3.95%
tristana Tristana
-9.66 48.78% 7.92% 0.08% 7.91%
kassadin Kassadin
-9.68 48.02% 4.89% 0.71% 4.86%
nidalee Nidalee
-9.79 45.48% 2.16% 0.07% 2.16%
kennen Kennen
-10.81 47.48% 4.28% 0.90% 4.24%
katarina Katarina
-10.83 49.05% 11.43% 19.63% 9.19%
olaf Olaf
-10.90 47.90% 5.19% 0.25% 5.18%
gangplank Gangplank
-11.16 47.98% 5.52% 0.25% 5.51%
poppy Poppy
-11.27 46.63% 3.35% 0.15% 3.34%
gragas Gragas
-11.65 48.94% 11.02% 1.00% 10.91%
camille Camille
-12.63 43.81% 2.04% 3.00% 1.98%
jhin Jhin
-13.39 47.40% 5.16% 0.17% 5.15%
rakan Rakan
-13.42 48.13% 7.18% 1.20% 7.09%
tahmKench Tahm Kench
-14.04 45.83% 3.37% 0.18% 3.36%
jayce Jayce
-15.29 47.65% 6.52% 0.92% 6.46%
rengar Rengar
-17.67 44.36% 3.14% 0.48% 3.12%
cassiopeia Cassiopeia
-18.29 46.35% 5.02% 1.72% 4.93%
xayah Xayah
-21.62 48.74% 17.16% 24.29% 12.99%
lucian Lucian
-23.38 49.17% 28.08% 3.88% 26.99%
vladimir Vladimir
-23.46 48.23% 13.24% 6.81% 12.34%
graves Graves
-23.99 48.31% 14.17% 2.29% 13.85%
karma Karma
-26.48 48.39% 16.47% 0.90% 16.32%
ryze Ryze
-27.92 39.06% 2.55% 0.08% 2.55%
syndra Syndra
-28.32 48.48% 18.66% 15.91% 15.69%
elise Elise
-28.69 47.32% 10.70% 1.41% 10.55%
galio Galio
-28.80 48.04% 14.71% 10.89% 13.11%
vayne Vayne
-30.74 48.34% 18.49% 9.15% 16.80%
fizz Fizz
-36.30 49.22% 46.37% 83.35% 7.72%
zed Zed
-67.61 45.38% 14.63% 37.61% 9.13%
leblanc Leblanc
-71.37 42.19% 9.14% 9.85% 8.24%
lulu Lulu
-71.69 47.22% 25.76% 30.13% 18.00%
ezreal Ezreal
-74.06 45.51% 16.49% 0.38% 16.43%
leeSin Lee Sin
-140.24 47.47% 55.38% 22.90% 42.70%

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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