Personalised Bans

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TOP SILVER BANS

ahri
#1 : AHRI
Influence: 38
Win Rate: 52.29%
Pick Rate: 16.57%
soraka
#2 : SORAKA (4)
Influence: 36
Win Rate: 53.66%
Pick Rate: 9.86%
lulu
#3 : LULU (1)
Influence: 32
Win Rate: 51.38%
Pick Rate: 23.35%
warwick
#4 : WARWICK (1)
Influence: 26
Win Rate: 52.13%
Pick Rate: 12.04%

masterYi
#5 : MASTER YI (2)
Influence: 25
Win Rate: 52.02%
Pick Rate: 12.48%
sona
#6 : SONA (1)
Influence: 22
Win Rate: 55.16%
Pick Rate: 4.24%
kogMaw
#7 : KOG'MAW (2)
Influence: 21
Win Rate: 55.34%
Pick Rate: 3.99%
nami
#8 : NAMI (7)
Influence: 21
Win Rate: 52.02%
Pick Rate: 10.42%

fizz
#9 : FIZZ (5)
Influence: 20
Win Rate: 51.20%
Pick Rate: 16.86%
amumu
#10 : AMUMU (2)
Influence: 19
Win Rate: 54.00%
Pick Rate: 4.68%
missFortune
#11 : MISS FORTUNE (9)
Influence: 14
Win Rate: 51.65%
Pick Rate: 8.36%
anivia
#12 : ANIVIA (2)
Influence: 14
Win Rate: 56.14%
Pick Rate: 2.21%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
ahri Ahri
37.95 52.29% 16.57% 2.49% 16.16%
soraka Soraka
36.04 53.66% 9.86% 0.91% 9.77%
lulu Lulu
32.17 51.38% 23.35% 18.30% 19.08%
warwick Warwick
25.62 52.13% 12.04% 9.87% 10.85%
masterYi Master Yi
25.24 52.02% 12.48% 1.92% 12.24%
sona Sona
21.83 55.16% 4.24% 0.14% 4.23%
kogMaw Kog'Maw
21.32 55.34% 3.99% 1.27% 3.94%
nami Nami
21.06 52.02% 10.42% 0.11% 10.41%
fizz Fizz
20.28 51.20% 16.86% 32.15% 11.44%
amumu Amumu
18.72 54.00% 4.68% 0.66% 4.65%
missFortune Miss Fortune
13.75 51.65% 8.36% 0.18% 8.34%
anivia Anivia
13.59 56.14% 2.21% 0.22% 2.21%
orianna Orianna
13.30 51.03% 12.95% 1.98% 12.69%
kled Kled
12.40 54.49% 2.76% 0.92% 2.73%
monkeyKing Wukong
11.80 53.82% 3.09% 0.10% 3.09%
rumble Rumble
10.93 52.21% 4.94% 0.45% 4.92%
singed Singed
8.50 56.43% 1.32% 0.16% 1.32%
ziggs Ziggs
7.39 51.39% 5.31% 0.44% 5.29%
swain Swain
6.56 52.06% 3.18% 0.39% 3.17%
janna Janna
4.71 50.23% 20.27% 1.48% 19.97%
sion Sion
4.32 52.74% 1.58% 0.05% 1.58%
malphite Malphite
3.70 50.46% 8.14% 1.21% 8.04%
rammus Rammus
3.64 51.19% 3.07% 0.24% 3.06%
jarvanIV Jarvan IV
3.03 50.71% 4.25% 0.20% 4.24%
kindred Kindred
2.51 51.84% 1.36% 0.04% 1.36%
malzahar Malzahar
2.03 50.57% 3.57% 2.84% 3.47%
aurelionSol Aurelionsol
1.84 53.41% 0.54% 0.34% 0.54%
teemo Teemo
1.45 50.20% 7.05% 2.19% 6.90%
yorick Yorick
0.97 50.74% 1.31% 0.15% 1.31%
karthus Karthus
0.45 50.52% 0.87% 0.02% 0.87%
velkoz Velkoz
0.44 50.06% 8.03% 0.85% 7.96%
skarner Skarner
-0.07 49.89% 0.68% 0.00% 0.68%
udyr Udyr
-1.00 49.25% 1.33% 0.00% 1.33%
taric Taric
-1.20 49.53% 2.54% 0.11% 2.54%
karma Karma
-1.31 49.87% 10.09% 0.15% 10.07%
kayle Kayle
-1.59 49.19% 1.96% 0.21% 1.96%
urgot Urgot
-1.76 47.29% 0.65% 0.22% 0.65%
chogath Cho'Gath
-1.78 49.59% 4.35% 1.13% 4.30%
ivern Ivern
-1.83 49.24% 2.39% 1.27% 2.36%
aatrox Aatrox
-1.93 47.90% 0.92% 0.43% 0.92%
nocturne Nocturne
-2.10 49.30% 2.99% 0.15% 2.99%
sivir Sivir
-2.11 49.33% 3.15% 0.03% 3.15%
heimerdinger Heimerdinger
-2.75 46.98% 0.91% 0.10% 0.91%
tryndamere Tryndamere
-3.18 49.28% 4.46% 0.59% 4.43%
xerath Xerath
-3.20 48.56% 2.22% 0.08% 2.22%
shaco Shaco
-3.53 49.54% 7.76% 3.54% 7.49%
corki Corki
-3.88 47.75% 1.73% 0.33% 1.72%
braum Braum
-3.95 49.63% 10.76% 1.86% 10.56%
zyra Zyra
-4.12 48.95% 3.92% 0.87% 3.89%
mordekaiser Mordekaiser
-4.24 46.90% 1.37% 0.11% 1.37%
blitzcrank Blitzcrank
-4.38 49.67% 13.29% 6.41% 12.44%
renekton Renekton
-4.77 49.40% 7.99% 1.70% 7.85%
akali Akali
-5.45 48.38% 3.36% 0.57% 3.34%
gnar Gnar
-5.46 48.05% 2.79% 0.12% 2.79%
rekSai Rek'Sai
-6.48 43.52% 1.00% 0.05% 1.00%
nasus Nasus
-6.52 48.54% 4.46% 0.39% 4.44%
poppy Poppy
-6.69 49.18% 8.15% 1.60% 8.02%
fiddlesticks Fiddlesticks
-6.70 47.45% 2.63% 0.22% 2.62%
volibear Volibear
-6.83 47.78% 3.07% 0.13% 3.07%
drMundo Dr. Mundo
-7.10 45.42% 1.55% 0.12% 1.55%
trundle Trundle
-7.12 47.48% 2.83% 0.21% 2.82%
twistedFate Twisted Fate
-7.44 48.57% 5.19% 0.20% 5.18%
graves Graves
-7.57 49.55% 16.91% 9.60% 15.29%
leona Leona
-7.59 49.17% 9.14% 0.65% 9.08%
tahmKench Tahm Kench
-7.69 47.00% 2.55% 0.10% 2.55%
zilean Zilean
-7.74 46.99% 2.57% 0.10% 2.57%
nunu Nunu
-8.12 41.59% 0.97% 0.06% 0.97%
taliyah Taliyah
-8.21 45.24% 1.72% 0.11% 1.72%
quinn Quinn
-8.38 48.34% 5.04% 1.56% 4.96%
sejuani Sejuani
-8.40 47.27% 3.08% 0.06% 3.08%
kalista Kalista
-8.72 48.62% 6.30% 0.23% 6.29%
lissandra Lissandra
-9.15 46.94% 3.00% 0.22% 2.99%
brand Brand
-9.39 48.62% 6.82% 1.99% 6.68%
twitch Twitch
-9.58 48.95% 9.09% 0.92% 9.01%
fiora Fiora
-9.90 49.48% 18.86% 34.14% 12.42%
veigar Veigar
-10.32 48.89% 9.32% 3.30% 9.01%
kennen Kennen
-10.75 45.83% 2.58% 0.30% 2.57%
garen Garen
-10.84 48.26% 6.23% 3.23% 6.03%
hecarim Hecarim
-11.61 48.58% 8.19% 4.40% 7.83%
kassadin Kassadin
-12.09 43.71% 1.92% 0.18% 1.92%
jax Jax
-13.01 48.29% 7.58% 0.71% 7.53%
illaoi Illaoi
-13.49 45.92% 3.31% 4.41% 3.16%
zac Zac
-13.68 47.64% 5.80% 1.32% 5.72%
jinx Jinx
-13.74 49.32% 20.29% 0.67% 20.15%
nautilus Nautilus
-13.90 48.63% 10.15% 1.35% 10.01%
shyvana Shyvana
-14.17 43.61% 2.22% 0.05% 2.22%
nidalee Nidalee
-14.60 43.75% 2.33% 0.10% 2.33%
xinZhao Xin Zhao
-15.35 48.42% 9.73% 1.15% 9.62%
ashe Ashe
-15.53 48.36% 9.46% 0.15% 9.45%
annie Annie
-15.78 47.80% 7.16% 2.50% 6.98%
vi Vi
-15.79 47.34% 5.94% 0.38% 5.92%
maokai Maokai
-16.15 43.39% 2.45% 0.24% 2.44%
varus Varus
-16.77 45.79% 3.98% 0.19% 3.97%
alistar Alistar
-17.41 46.12% 4.49% 0.44% 4.47%
tristana Tristana
-17.92 47.70% 7.79% 0.04% 7.79%
lux Lux
-19.79 48.58% 13.97% 0.47% 13.90%
talon Talon
-20.28 47.15% 7.12% 5.01% 6.76%
pantheon Pantheon
-22.05 45.51% 4.90% 1.06% 4.85%
draven Draven
-22.10 47.76% 9.88% 2.29% 9.65%
olaf Olaf
-22.44 43.13% 3.27% 0.16% 3.26%
gragas Gragas
-22.81 48.13% 12.20% 0.90% 12.09%
bard Bard
-24.86 42.56% 3.34% 0.13% 3.34%
morgana Morgana
-24.90 48.38% 15.37% 2.99% 14.91%
jayce Jayce
-26.71 45.58% 6.05% 3.41% 5.84%
cassiopeia Cassiopeia
-27.05 43.75% 4.33% 1.31% 4.27%
azir Azir
-28.81 34.22% 1.83% 0.31% 1.82%
viktor Viktor
-29.31 43.33% 4.39% 0.08% 4.39%
ekko Ekko
-29.64 47.44% 11.57% 3.94% 11.11%
vladimir Vladimir
-31.18 45.15% 6.43% 1.83% 6.31%
evelynn Evelynn
-31.20 40.38% 3.25% 1.09% 3.21%
shen Shen
-33.81 45.12% 6.92% 1.06% 6.85%
diana Diana
-34.20 44.96% 6.78% 2.43% 6.62%
khazix Khazix
-34.44 47.89% 16.34% 11.47% 14.47%
camille Camille
-36.99 45.32% 7.90% 27.22% 5.75%
irelia Irelia
-38.30 46.08% 9.77% 8.22% 8.97%
elise Elise
-41.02 39.28% 3.82% 0.35% 3.81%
gangplank Gangplank
-45.68 44.09% 7.73% 0.71% 7.68%
leblanc Leblanc
-53.03 37.94% 4.40% 6.13% 4.13%
ryze Ryze
-54.07 35.44% 3.72% 0.77% 3.69%
katarina Katarina
-55.26 46.65% 16.50% 26.50% 12.13%
darius Darius
-61.54 46.54% 17.76% 47.36% 9.35%
syndra Syndra
-61.91 44.68% 11.62% 19.05% 9.41%
rengar Rengar
-66.41 44.16% 11.37% 13.91% 9.79%
jhin Jhin
-68.75 44.70% 12.98% 1.03% 12.85%
caitlyn Caitlyn
-70.26 47.39% 26.95% 5.60% 25.44%
yasuo Yasuo
-73.46 48.32% 43.66% 58.38% 18.17%
ezreal Ezreal
-75.12 45.86% 18.14% 0.51% 18.05%
galio Galio
-75.50 47.11% 26.10% 43.42% 14.77%
lucian Lucian
-97.53 47.40% 37.43% 3.35% 36.18%
riven Riven
-117.20 44.80% 22.53% 7.87% 20.76%
thresh Thresh
-123.73 46.48% 35.20% 1.42% 34.70%
vayne Vayne
-166.90 46.80% 52.08% 41.15% 30.65%
leeSin Lee Sin
-191.29 45.41% 41.68% 9.09% 37.89%
zed Zed
-215.01 43.86% 35.02% 58.11% 14.67%

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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