Personalised Bans

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TOP SILVER BANS

janna
#1 : JANNA (1)
Influence: 118
Win Rate: 53.25%
Pick Rate: 36.27%
soraka
#2 : SORAKA (1)
Influence: 110
Win Rate: 54.39%
Pick Rate: 25.07%
sona
#3 : SONA
Influence: 90
Win Rate: 54.59%
Pick Rate: 19.49%
sejuani
#4 : SEJUANI (1)
Influence: 71
Win Rate: 52.80%
Pick Rate: 25.51%

twitch
#5 : TWITCH (1)
Influence: 65
Win Rate: 51.83%
Pick Rate: 35.72%
jarvanIV
#6 : JARVAN IV
Influence: 40
Win Rate: 51.85%
Pick Rate: 21.54%
malzahar
#7 : MALZAHAR
Influence: 38
Win Rate: 54.14%
Pick Rate: 9.20%
rammus
#8 : RAMMUS
Influence: 37
Win Rate: 53.89%
Pick Rate: 9.38%

vayne
#9 : VAYNE (1)
Influence: 30
Win Rate: 51.07%
Pick Rate: 27.76%
singed
#10 : SINGED (1)
Influence: 26
Win Rate: 53.78%
Pick Rate: 6.78%
warwick
#11 : WARWICK
Influence: 24
Win Rate: 52.03%
Pick Rate: 11.80%
veigar
#12 : VEIGAR
Influence: 22
Win Rate: 51.90%
Pick Rate: 11.58%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
117.70 53.25% 36.27% 49.07% 18.47%
soraka Soraka
110.02 54.39% 25.07% 34.82% 16.34%
sona Sona
89.50 54.59% 19.49% 5.59% 18.40%
sejuani Sejuani
71.30 52.80% 25.51% 45.74% 13.84%
twitch Twitch
65.36 51.83% 35.72% 41.09% 21.04%
jarvanIV Jarvan IV
39.75 51.85% 21.54% 11.76% 19.01%
malzahar Malzahar
38.07 54.14% 9.20% 13.66% 7.94%
rammus Rammus
36.50 53.89% 9.38% 13.83% 8.08%
vayne Vayne
29.70 51.07% 27.76% 13.98% 23.88%
singed Singed
25.61 53.78% 6.78% 4.53% 6.47%
warwick Warwick
23.94 52.03% 11.80% 9.19% 10.72%
veigar Veigar
21.97 51.90% 11.58% 6.28% 10.85%
taric Taric
20.74 52.50% 8.31% 1.87% 8.15%
brand Brand
17.09 52.23% 7.67% 4.81% 7.30%
shyvana Shyvana
16.77 53.72% 4.51% 0.64% 4.48%
draven Draven
16.44 51.28% 12.87% 24.53% 9.71%
garen Garen
15.94 52.04% 7.80% 2.98% 7.57%
monkeyKing Wukong
15.47 53.20% 4.83% 0.80% 4.79%
anivia Anivia
14.95 53.15% 4.75% 2.48% 4.63%
annie Annie
14.55 51.75% 8.32% 5.21% 7.89%
tristana Tristana
14.34 50.31% 47.01% 28.54% 33.59%
jax Jax
11.67 50.85% 13.73% 6.65% 12.82%
nami Nami
11.51 51.00% 11.57% 0.61% 11.50%
leona Leona
10.72 51.01% 10.61% 3.13% 10.28%
fizz Fizz
10.66 51.05% 10.20% 19.21% 8.24%
blitzcrank Blitzcrank
10.39 50.64% 16.18% 33.06% 10.83%
tryndamere Tryndamere
10.16 51.46% 6.95% 5.71% 6.55%
diana Diana
9.97 51.75% 5.69% 2.37% 5.56%
yasuo Yasuo
9.31 50.35% 26.40% 38.68% 16.19%
azir Azir
9.06 51.09% 8.29% 8.69% 7.57%
jinx Jinx
8.96 50.78% 11.46% 0.76% 11.37%
velkoz Velkoz
8.84 51.84% 4.82% 0.50% 4.80%
talon Talon
8.77 51.38% 6.35% 5.21% 6.02%
swain Swain
8.21 52.94% 2.80% 0.73% 2.78%
katarina Katarina
7.79 50.86% 9.09% 8.11% 8.35%
amumu Amumu
6.79 51.66% 4.10% 0.73% 4.07%
xinZhao Xin Zhao
6.77 50.98% 6.89% 4.39% 6.59%
yorick Yorick
6.11 52.34% 2.61% 1.17% 2.58%
missFortune Miss Fortune
5.61 50.68% 8.32% 1.22% 8.22%
teemo Teemo
5.40 50.67% 8.06% 6.09% 7.57%
sion Sion
5.19 51.32% 3.92% 0.34% 3.91%
fiddlesticks Fiddlesticks
4.90 51.48% 3.32% 0.62% 3.30%
heimerdinger Heimerdinger
4.01 51.54% 2.60% 0.90% 2.58%
xerath Xerath
3.63 51.05% 3.47% 0.47% 3.45%
pantheon Pantheon
3.45 50.63% 5.46% 7.12% 5.07%
ziggs Ziggs
2.94 50.82% 3.59% 0.33% 3.58%
fiora Fiora
2.05 50.25% 8.28% 16.06% 6.95%
zilean Zilean
1.91 50.72% 2.65% 0.35% 2.64%
nasus Nasus
1.90 50.19% 9.87% 11.34% 8.75%
skarner Skarner
1.85 52.22% 0.83% 0.08% 0.83%
sivir Sivir
1.64 50.33% 5.00% 0.19% 4.99%
akali Akali
1.49 50.28% 5.28% 5.03% 5.01%
irelia Irelia
0.90 50.22% 4.17% 1.07% 4.13%
zyra Zyra
0.54 50.15% 3.58% 0.91% 3.55%
nocturne Nocturne
0.38 50.14% 2.72% 0.24% 2.71%
drMundo Dr. Mundo
0.16 50.05% 3.10% 0.83% 3.07%
hecarim Hecarim
0.13 50.05% 2.62% 0.54% 2.61%
kindred Kindred
0.13 50.09% 1.50% 0.16% 1.50%
urgot Urgot
0.08 50.03% 2.97% 1.49% 2.93%
kayle Kayle
-0.28 49.90% 2.72% 0.51% 2.71%
vi Vi
-0.47 49.91% 4.98% 0.70% 4.95%
aatrox Aatrox
-0.75 49.53% 1.58% 1.62% 1.55%
trundle Trundle
-0.87 49.81% 4.51% 0.57% 4.48%
karthus Karthus
-0.90 49.41% 1.52% 0.18% 1.52%
illaoi Illaoi
-1.11 49.52% 2.32% 2.35% 2.27%
kled Kled
-1.45 49.54% 3.14% 1.33% 3.10%
quinn Quinn
-1.86 48.83% 1.60% 0.33% 1.59%
masterYi Master Yi
-2.15 49.80% 10.76% 13.65% 9.29%
twistedFate Twisted Fate
-2.18 49.68% 6.82% 0.70% 6.77%
zac Zac
-2.31 49.35% 3.53% 3.93% 3.39%
kennen Kennen
-2.34 49.38% 3.74% 0.89% 3.71%
ivern Ivern
-2.39 48.40% 1.50% 0.37% 1.49%
aurelionSol Aurelionsol
-2.47 47.92% 1.19% 0.51% 1.18%
chogath Cho'Gath
-2.73 49.85% 17.60% 41.07% 10.37%
udyr Udyr
-2.98 48.35% 1.80% 0.17% 1.80%
mordekaiser Mordekaiser
-2.99 48.10% 1.57% 0.31% 1.57%
volibear Volibear
-3.02 48.33% 1.81% 0.19% 1.81%
maokai Maokai
-3.31 49.63% 8.89% 5.88% 8.37%
ahri Ahri
-4.03 49.55% 9.01% 3.59% 8.69%
riven Riven
-4.25 49.64% 11.66% 5.63% 11.00%
nunu Nunu
-4.35 46.43% 1.22% 0.10% 1.22%
alistar Alistar
-4.61 49.20% 5.78% 1.50% 5.69%
jayce Jayce
-5.19 49.47% 9.83% 7.66% 9.08%
corki Corki
-5.25 48.55% 3.61% 0.54% 3.59%
rumble Rumble
-5.38 48.20% 2.98% 0.42% 2.97%
vladimir Vladimir
-5.49 49.25% 7.35% 7.10% 6.83%
braum Braum
-5.81 48.65% 4.31% 1.42% 4.25%
malphite Malphite
-5.95 48.93% 5.53% 1.11% 5.47%
poppy Poppy
-6.29 46.98% 2.08% 0.14% 2.08%
olaf Olaf
-6.34 46.51% 1.82% 0.28% 1.81%
lissandra Lissandra
-6.72 46.60% 1.97% 0.21% 1.97%
lux Lux
-6.75 49.42% 11.55% 1.71% 11.35%
gangplank Gangplank
-6.92 48.95% 6.56% 1.07% 6.49%
graves Graves
-6.92 48.29% 4.04% 0.35% 4.03%
ornn Ornn
-7.24 49.01% 7.34% 2.80% 7.13%
camille Camille
-7.59 46.84% 2.41% 1.18% 2.38%
viktor Viktor
-7.81 47.32% 2.92% 0.20% 2.91%
kogMaw Kog'Maw
-7.91 49.32% 11.68% 10.15% 10.49%
ekko Ekko
-8.94 48.89% 8.06% 3.55% 7.77%
shaco Shaco
-9.21 47.11% 3.18% 1.02% 3.15%
darius Darius
-9.27 49.19% 11.48% 28.15% 8.25%
bard Bard
-9.33 48.01% 4.70% 0.55% 4.67%
rengar Rengar
-10.51 46.48% 2.98% 0.47% 2.97%
rekSai Rek'Sai
-11.42 46.87% 3.65% 0.77% 3.62%
khazix Khazix
-11.97 48.34% 7.22% 2.30% 7.05%
tahmKench Tahm Kench
-12.39 45.22% 2.59% 0.52% 2.58%
gnar Gnar
-12.59 48.62% 9.12% 3.51% 8.80%
shen Shen
-12.75 47.95% 6.20% 0.66% 6.16%
nautilus Nautilus
-13.56 46.13% 3.50% 0.29% 3.49%
renekton Renekton
-13.58 48.01% 6.83% 3.17% 6.61%
ashe Ashe
-13.86 48.36% 8.47% 0.49% 8.43%
cassiopeia Cassiopeia
-13.97 44.02% 2.34% 0.94% 2.32%
kassadin Kassadin
-14.08 47.18% 4.98% 6.28% 4.67%
elise Elise
-14.22 46.12% 3.67% 0.75% 3.64%
varus Varus
-15.39 48.61% 11.05% 0.56% 10.99%
kayn Kayn
-16.19 49.21% 20.43% 24.05% 15.52%
leblanc Leblanc
-16.98 45.79% 4.03% 3.79% 3.88%
kalista Kalista
-16.99 46.92% 5.52% 1.95% 5.41%
karma Karma
-18.37 47.51% 7.37% 0.52% 7.33%
orianna Orianna
-18.50 48.55% 12.74% 3.48% 12.30%
jhin Jhin
-19.22 47.76% 8.58% 0.92% 8.50%
taliyah Taliyah
-22.94 44.61% 4.25% 0.35% 4.24%
xayah Xayah
-23.05 48.88% 20.54% 13.23% 17.82%
morgana Morgana
-23.34 47.68% 10.07% 4.11% 9.66%
rakan Rakan
-23.69 48.17% 12.94% 6.67% 12.08%
zed Zed
-26.75 48.59% 18.97% 38.26% 11.71%
nidalee Nidalee
-27.99 44.51% 5.09% 0.61% 5.06%
ezreal Ezreal
-30.15 48.21% 16.87% 15.18% 14.31%
lucian Lucian
-30.34 46.15% 7.88% 0.90% 7.81%
galio Galio
-31.87 45.94% 7.84% 3.50% 7.57%
caitlyn Caitlyn
-32.69 48.41% 20.53% 9.54% 18.57%
gragas Gragas
-34.08 45.73% 7.99% 1.20% 7.89%
syndra Syndra
-34.31 46.08% 8.75% 5.29% 8.29%
ryze Ryze
-49.89 40.59% 5.30% 0.82% 5.26%
lulu Lulu
-51.11 48.24% 29.01% 40.22% 17.34%
leeSin Lee Sin
-60.03 45.35% 12.91% 4.68% 12.31%
evelynn Evelynn
-72.93 44.43% 13.09% 35.73% 8.41%
thresh Thresh
-79.68 45.23% 16.71% 5.33% 15.82%

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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