Personalised Bans

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TOP SILVER BANS

janna
#1 : JANNA
Influence: 273
Win Rate: 57.16%
Pick Rate: 38.12%
jarvanIV
#2 : JARVAN IV
Influence: 98
Win Rate: 55.75%
Pick Rate: 17.00%
diana
#3 : DIANA
Influence: 49
Win Rate: 52.84%
Pick Rate: 17.12%
soraka
#4 : SORAKA
Influence: 39
Win Rate: 52.19%
Pick Rate: 17.86%

jinx
#5 : JINX (2)
Influence: 35
Win Rate: 51.82%
Pick Rate: 19.08%
tristana
#6 : TRISTANA (1)
Influence: 30
Win Rate: 50.98%
Pick Rate: 30.64%
ahri
#7 : AHRI (6)
Influence: 30
Win Rate: 53.39%
Pick Rate: 8.73%
lulu
#8 : LULU (11)
Influence: 28
Win Rate: 50.98%
Pick Rate: 29.03%

maokai
#9 : MAOKAI (1)
Influence: 27
Win Rate: 56.19%
Pick Rate: 4.43%
sejuani
#10 : SEJUANI (4)
Influence: 27
Win Rate: 53.73%
Pick Rate: 7.21%
leona
#11 : LEONA (3)
Influence: 24
Win Rate: 52.27%
Pick Rate: 10.73%
sona
#12 : SONA (3)
Influence: 24
Win Rate: 54.50%
Pick Rate: 5.23%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
272.78 57.16% 38.12% 35.84% 24.46%
jarvanIV Jarvan IV
97.77 55.75% 17.00% 10.41% 15.23%
diana Diana
48.53 52.84% 17.12% 36.97% 10.79%
soraka Soraka
39.15 52.19% 17.86% 14.68% 15.24%
jinx Jinx
34.77 51.82% 19.08% 1.63% 18.77%
tristana Tristana
30.02 50.98% 30.64% 13.93% 26.37%
ahri Ahri
29.59 53.39% 8.73% 3.14% 8.46%
lulu Lulu
28.38 50.98% 29.03% 39.28% 17.63%
maokai Maokai
27.41 56.19% 4.43% 1.13% 4.38%
sejuani Sejuani
26.87 53.73% 7.21% 6.96% 6.71%
leona Leona
24.37 52.27% 10.73% 4.92% 10.20%
sona Sona
23.51 54.50% 5.23% 0.28% 5.22%
rekSai Rek'Sai
19.57 55.27% 3.71% 0.57% 3.69%
twistedFate Twisted Fate
17.27 54.05% 4.27% 0.20% 4.26%
amumu Amumu
14.95 52.92% 5.13% 0.64% 5.10%
nami Nami
13.57 51.72% 7.89% 0.26% 7.87%
brand Brand
13.10 52.09% 6.28% 3.00% 6.09%
fiddlesticks Fiddlesticks
11.41 53.10% 3.68% 0.75% 3.65%
sivir Sivir
11.17 52.97% 3.76% 0.09% 3.76%
ekko Ekko
10.08 50.95% 10.64% 4.91% 10.12%
fiora Fiora
8.75 50.44% 20.02% 48.70% 10.27%
malzahar Malzahar
8.46 51.99% 4.26% 2.25% 4.16%
karthus Karthus
8.25 59.93% 0.83% 0.13% 0.83%
alistar Alistar
7.53 51.15% 6.54% 1.15% 6.46%
kassadin Kassadin
6.84 51.01% 6.79% 6.20% 6.37%
kogMaw Kog'Maw
6.80 51.01% 6.72% 2.89% 6.53%
missFortune Miss Fortune
6.10 50.73% 8.36% 0.54% 8.31%
fizz Fizz
5.91 50.33% 18.18% 39.22% 11.05%
quinn Quinn
5.34 51.58% 3.38% 0.72% 3.36%
kennen Kennen
5.21 51.21% 4.32% 0.89% 4.28%
heimerdinger Heimerdinger
5.16 52.78% 1.86% 0.33% 1.85%
swain Swain
5.11 52.62% 1.96% 0.36% 1.95%
sion Sion
5.09 53.29% 1.55% 0.07% 1.55%
draven Draven
4.91 50.34% 14.45% 21.52% 11.34%
jax Jax
4.82 50.42% 11.61% 3.94% 11.15%
aatrox Aatrox
4.79 56.39% 0.75% 0.48% 0.75%
garen Garen
4.78 50.79% 6.06% 3.19% 5.87%
monkeyKing Wukong
4.70 50.97% 4.84% 0.53% 4.81%
taric Taric
4.63 50.96% 4.81% 0.39% 4.79%
volibear Volibear
4.19 52.46% 1.71% 0.21% 1.71%
kayle Kayle
3.95 51.62% 2.45% 0.31% 2.44%
katarina Katarina
3.23 50.10% 33.09% 51.83% 15.94%
vi Vi
3.11 50.64% 4.86% 0.31% 4.84%
jayce Jayce
3.03 50.41% 7.44% 2.55% 7.25%
anivia Anivia
2.83 51.29% 2.19% 0.65% 2.18%
shyvana Shyvana
2.68 50.95% 2.82% 0.19% 2.81%
teemo Teemo
2.25 50.29% 7.69% 4.99% 7.31%
xinZhao Xin Zhao
1.97 50.24% 8.31% 1.77% 8.16%
annie Annie
1.86 50.34% 5.42% 3.01% 5.26%
graves Graves
1.77 50.83% 2.14% 0.10% 2.14%
velkoz Velkoz
1.23 50.19% 6.37% 0.96% 6.31%
chogath Cho'Gath
1.20 50.07% 18.44% 42.53% 10.60%
urgot Urgot
1.11 50.52% 2.13% 1.04% 2.11%
trundle Trundle
0.66 50.23% 2.87% 0.32% 2.86%
braum Braum
-0.30 49.97% 8.67% 4.35% 8.29%
kled Kled
-0.31 49.88% 2.52% 1.62% 2.48%
xerath Xerath
-1.37 49.38% 2.20% 0.15% 2.20%
zyra Zyra
-1.45 49.52% 2.99% 0.53% 2.97%
warwick Warwick
-1.72 49.88% 14.35% 8.22% 13.17%
bard Bard
-1.74 49.58% 4.13% 0.32% 4.12%
ivern Ivern
-1.81 47.90% 0.86% 0.11% 0.86%
yorick Yorick
-2.09 48.54% 1.43% 0.29% 1.43%
rammus Rammus
-2.23 49.57% 5.20% 1.67% 5.11%
nautilus Nautilus
-2.85 49.08% 3.11% 0.17% 3.10%
rakan Rakan
-2.91 49.82% 15.94% 11.11% 14.17%
singed Singed
-3.12 48.41% 1.97% 0.26% 1.96%
illaoi Illaoi
-3.16 48.79% 2.61% 3.77% 2.51%
skarner Skarner
-3.34 45.35% 0.72% 0.04% 0.72%
kindred Kindred
-3.76 46.84% 1.19% 0.10% 1.19%
tryndamere Tryndamere
-3.82 49.00% 3.82% 1.34% 3.77%
lissandra Lissandra
-4.05 48.84% 3.48% 0.57% 3.46%
veigar Veigar
-4.53 49.27% 6.19% 1.71% 6.08%
gragas Gragas
-4.59 49.53% 9.67% 1.36% 9.54%
nunu Nunu
-4.60 43.31% 0.69% 0.05% 0.69%
akali Akali
-4.87 48.85% 4.24% 2.30% 4.14%
evelynn Evelynn
-5.10 47.53% 2.07% 0.94% 2.05%
shaco Shaco
-5.24 47.92% 2.52% 0.46% 2.51%
aurelionSol Aurelionsol
-5.42 42.54% 0.72% 0.52% 0.72%
olaf Olaf
-6.01 46.42% 1.68% 0.22% 1.68%
nocturne Nocturne
-6.13 47.37% 2.33% 0.13% 2.33%
gnar Gnar
-6.32 48.76% 5.09% 1.51% 5.01%
udyr Udyr
-6.73 42.67% 0.92% 0.05% 0.92%
renekton Renekton
-6.92 48.59% 4.92% 2.34% 4.80%
riven Riven
-7.26 49.65% 20.75% 10.98% 18.47%
ashe Ashe
-7.39 49.04% 7.69% 0.42% 7.66%
shen Shen
-7.90 48.67% 5.93% 0.71% 5.89%
corki Corki
-8.07 46.01% 2.03% 0.39% 2.02%
drMundo Dr. Mundo
-8.46 43.98% 1.41% 0.38% 1.40%
ziggs Ziggs
-8.48 47.27% 3.11% 0.22% 3.10%
zilean Zilean
-8.80 44.93% 1.73% 0.14% 1.73%
irelia Irelia
-8.97 48.38% 5.52% 3.76% 5.31%
nasus Nasus
-9.44 48.57% 6.60% 2.81% 6.41%
pantheon Pantheon
-9.63 48.83% 8.25% 5.38% 7.81%
elise Elise
-10.01 46.06% 2.54% 0.51% 2.53%
varus Varus
-10.10 47.11% 3.50% 0.15% 3.49%
rengar Rengar
-10.76 48.99% 10.68% 3.68% 10.29%
khazix Khazix
-10.77 49.43% 18.81% 7.41% 17.42%
hecarim Hecarim
-11.16 47.20% 3.99% 0.63% 3.96%
viktor Viktor
-11.55 44.93% 2.27% 0.18% 2.27%
vayne Vayne
-12.33 49.77% 54.19% 42.50% 31.16%
kayn Kayn
-13.18 49.22% 16.91% 17.85% 13.89%
malphite Malphite
-13.38 47.73% 5.89% 0.85% 5.84%
nidalee Nidalee
-14.05 44.41% 2.51% 0.15% 2.51%
mordekaiser Mordekaiser
-14.37 41.59% 1.71% 0.34% 1.70%
poppy Poppy
-14.76 46.93% 4.80% 0.43% 4.78%
taliyah Taliyah
-15.64 42.90% 2.21% 0.26% 2.20%
tahmKench Tahm Kench
-15.69 41.07% 1.75% 0.23% 1.75%
rumble Rumble
-16.23 44.33% 2.86% 0.44% 2.85%
ornn Ornn
-17.53 41.24% 2.00% 2.06% 1.96%
cassiopeia Cassiopeia
-17.60 44.38% 3.13% 1.05% 3.10%
blitzcrank Blitzcrank
-18.35 48.69% 13.95% 19.43% 11.24%
azir Azir
-20.19 39.29% 1.89% 0.52% 1.88%
lux Lux
-20.89 48.18% 11.49% 0.89% 11.39%
syndra Syndra
-21.01 47.27% 7.70% 6.09% 7.23%
zac Zac
-21.09 45.77% 4.99% 10.03% 4.49%
darius Darius
-21.41 48.59% 15.15% 46.88% 8.05%
twitch Twitch
-21.90 48.90% 19.87% 11.98% 17.49%
galio Galio
-22.78 42.83% 3.18% 0.53% 3.16%
yasuo Yasuo
-25.03 49.57% 58.55% 62.32% 22.06%
talon Talon
-25.29 46.48% 7.19% 4.05% 6.90%
ryze Ryze
-25.48 42.02% 3.20% 0.22% 3.19%
masterYi Master Yi
-25.94 48.45% 16.74% 15.03% 14.22%
xayah Xayah
-27.10 48.51% 18.19% 13.15% 15.80%
camille Camille
-27.96 42.56% 3.75% 2.75% 3.65%
kalista Kalista
-29.03 47.14% 10.15% 2.48% 9.90%
gangplank Gangplank
-31.69 41.87% 3.90% 0.35% 3.89%
orianna Orianna
-32.62 47.86% 15.26% 6.56% 14.26%
karma Karma
-32.99 44.97% 6.56% 0.25% 6.54%
leblanc Leblanc
-35.24 44.28% 6.16% 4.52% 5.88%
vladimir Vladimir
-36.78 46.22% 9.73% 8.29% 8.92%
jhin Jhin
-38.94 46.41% 10.85% 0.91% 10.75%
ezreal Ezreal
-42.14 47.34% 15.81% 4.71% 15.07%
caitlyn Caitlyn
-46.12 45.34% 9.90% 7.09% 9.20%
lucian Lucian
-64.90 47.10% 22.34% 2.79% 21.72%
morgana Morgana
-66.02 45.77% 15.61% 9.34% 14.15%
zed Zed
-75.05 48.26% 43.20% 57.06% 18.55%
leeSin Lee Sin
-96.05 46.43% 26.93% 8.77% 24.57%
thresh Thresh
-105.68 46.48% 30.01% 9.92% 27.03%

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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