Personalised Bans

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TOP SILVER BANS

leona
#1 : LEONA (1)
Influence: 85
Win Rate: 55.58%
Pick Rate: 15.14%
janna
#2 : JANNA (1)
Influence: 71
Win Rate: 53.22%
Pick Rate: 22.10%
zed
#3 : ZED
Influence: 67
Win Rate: 51.23%
Pick Rate: 54.81%
lulu
#4 : LULU
Influence: 62
Win Rate: 51.98%
Pick Rate: 31.40%

diana
#5 : DIANA (6)
Influence: 55
Win Rate: 53.68%
Pick Rate: 14.92%
nami
#6 : NAMI (1)
Influence: 50
Win Rate: 55.49%
Pick Rate: 9.13%
katarina
#7 : KATARINA
Influence: 49
Win Rate: 51.65%
Pick Rate: 29.48%
taric
#8 : TARIC (8)
Influence: 41
Win Rate: 58.61%
Pick Rate: 4.81%

maokai
#9 : MAOKAI (1)
Influence: 39
Win Rate: 56.95%
Pick Rate: 5.60%
sona
#10 : SONA (2)
Influence: 38
Win Rate: 54.98%
Pick Rate: 7.58%
xerath
#11 : XERATH (5)
Influence: 37
Win Rate: 60.90%
Pick Rate: 3.42%
jarvanIV
#12 : JARVAN IV (3)
Influence: 35
Win Rate: 51.92%
Pick Rate: 18.34%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
leona Leona
84.51 55.58% 15.14% 10.33% 13.58%
janna Janna
71.22 53.22% 22.10% 15.21% 18.74%
zed Zed
67.27 51.23% 54.81% 66.32% 18.46%
lulu Lulu
62.24 51.98% 31.40% 41.66% 18.32%
diana Diana
54.88 53.68% 14.92% 31.01% 10.29%
nami Nami
50.14 55.49% 9.13% 0.89% 9.05%
katarina Katarina
48.71 51.65% 29.48% 53.56% 13.69%
taric Taric
41.45 58.61% 4.81% 0.91% 4.77%
maokai Maokai
38.89 56.95% 5.60% 1.58% 5.51%
sona Sona
37.79 54.98% 7.58% 1.22% 7.49%
xerath Xerath
37.35 60.90% 3.42% 0.41% 3.41%
jarvanIV Jarvan IV
35.12 51.92% 18.34% 13.45% 15.87%
braum Braum
34.95 54.53% 7.71% 3.86% 7.41%
missFortune Miss Fortune
32.36 53.65% 8.86% 0.84% 8.79%
malzahar Malzahar
29.40 52.71% 10.87% 10.91% 9.68%
velkoz Velkoz
28.72 54.46% 6.44% 0.86% 6.38%
rammus Rammus
27.61 56.88% 4.02% 1.63% 3.95%
jax Jax
24.00 52.46% 9.75% 3.92% 9.37%
vi Vi
20.21 55.35% 3.77% 0.30% 3.76%
shen Shen
19.83 53.20% 6.19% 1.16% 6.12%
twitch Twitch
19.53 51.06% 18.38% 13.43% 15.91%
soraka Soraka
16.19 51.16% 13.96% 18.11% 11.43%
sejuani Sejuani
15.95 53.48% 4.58% 5.54% 4.33%
yorick Yorick
12.86 55.29% 2.43% 0.91% 2.41%
teemo Teemo
12.36 51.28% 9.64% 6.16% 9.05%
shyvana Shyvana
12.21 53.76% 3.25% 0.31% 3.24%
malphite Malphite
11.87 52.59% 4.59% 0.74% 4.56%
irelia Irelia
11.62 52.27% 5.13% 3.70% 4.94%
monkeyKing Wukong
11.32 52.51% 4.51% 0.90% 4.47%
warwick Warwick
10.83 50.85% 12.81% 7.19% 11.89%
draven Draven
10.40 51.19% 8.76% 12.90% 7.63%
ezreal Ezreal
10.24 50.33% 31.26% 19.58% 25.14%
singed Singed
9.42 54.27% 2.20% 0.47% 2.19%
amumu Amumu
8.86 53.55% 2.50% 0.44% 2.49%
rumble Rumble
8.48 53.55% 2.39% 0.39% 2.38%
pantheon Pantheon
7.55 51.09% 6.93% 7.32% 6.42%
renekton Renekton
7.04 52.00% 3.52% 1.32% 3.47%
ahri Ahri
6.74 51.07% 6.28% 1.93% 6.16%
alistar Alistar
6.18 50.89% 6.96% 1.87% 6.83%
heimerdinger Heimerdinger
5.70 52.09% 2.73% 0.77% 2.71%
nocturne Nocturne
4.69 52.35% 2.00% 0.18% 2.00%
skarner Skarner
4.66 57.04% 0.66% 0.07% 0.66%
zilean Zilean
3.80 51.57% 2.42% 0.26% 2.41%
kalista Kalista
3.78 50.35% 10.80% 5.67% 10.19%
zac Zac
3.55 50.85% 4.20% 3.82% 4.04%
udyr Udyr
3.40 50.98% 3.46% 0.60% 3.44%
nunu Nunu
3.28 56.04% 0.54% 0.16% 0.54%
trundle Trundle
3.12 51.13% 2.77% 0.63% 2.75%
sion Sion
2.98 51.77% 1.68% 0.08% 1.68%
xinZhao Xin Zhao
2.84 50.42% 6.77% 2.83% 6.58%
karthus Karthus
2.75 54.06% 0.67% 0.11% 0.67%
ziggs Ziggs
2.59 51.06% 2.45% 0.24% 2.44%
lissandra Lissandra
2.28 50.88% 2.58% 0.53% 2.57%
drMundo Dr. Mundo
1.66 51.11% 1.50% 0.48% 1.49%
olaf Olaf
0.68 50.47% 1.44% 0.15% 1.44%
ivern Ivern
0.28 50.38% 0.72% 0.16% 0.72%
shaco Shaco
-0.03 49.99% 3.44% 0.64% 3.42%
illaoi Illaoi
-0.54 49.74% 2.09% 3.38% 2.02%
gangplank Gangplank
-0.64 49.92% 8.26% 1.62% 8.13%
tryndamere Tryndamere
-0.98 49.72% 3.49% 1.59% 3.43%
volibear Volibear
-1.35 49.12% 1.54% 0.21% 1.54%
rakan Rakan
-1.39 49.89% 12.89% 5.25% 12.21%
tahmKench Tahm Kench
-1.56 49.36% 2.42% 0.25% 2.41%
quinn Quinn
-1.63 49.53% 3.49% 0.76% 3.46%
gnar Gnar
-2.42 49.65% 6.83% 2.29% 6.67%
cassiopeia Cassiopeia
-2.52 48.93% 2.36% 0.84% 2.34%
viktor Viktor
-2.69 48.77% 2.18% 0.19% 2.18%
rekSai Rek'Sai
-2.78 48.68% 2.12% 0.46% 2.11%
swain Swain
-3.33 48.72% 2.60% 0.35% 2.59%
mordekaiser Mordekaiser
-3.53 46.37% 0.97% 0.24% 0.97%
anivia Anivia
-3.57 48.37% 2.19% 0.67% 2.18%
elise Elise
-3.77 48.02% 1.90% 0.36% 1.89%
corki Corki
-4.87 48.14% 2.62% 0.61% 2.60%
annie Annie
-5.03 48.76% 4.05% 2.09% 3.97%
kennen Kennen
-5.04 48.68% 3.81% 1.31% 3.76%
aurelionSol Aurelionsol
-5.20 42.25% 0.67% 0.57% 0.67%
nasus Nasus
-5.33 48.98% 5.24% 2.06% 5.13%
fizz Fizz
-5.75 49.62% 15.12% 32.48% 10.21%
bard Bard
-6.44 48.70% 4.95% 0.59% 4.92%
kindred Kindred
-6.45 47.12% 2.24% 0.36% 2.23%
jinx Jinx
-6.72 49.50% 13.51% 1.33% 13.33%
nautilus Nautilus
-6.89 47.16% 2.42% 0.19% 2.42%
fiddlesticks Fiddlesticks
-6.94 46.88% 2.22% 0.44% 2.21%
blitzcrank Blitzcrank
-7.04 49.44% 12.63% 20.19% 10.08%
garen Garen
-7.04 48.64% 5.18% 3.08% 5.02%
varus Varus
-7.90 49.15% 9.25% 1.36% 9.12%
kogMaw Kog'Maw
-8.03 48.67% 6.03% 4.20% 5.78%
kayle Kayle
-8.81 46.47% 2.50% 0.30% 2.49%
hecarim Hecarim
-8.85 49.04% 9.22% 7.82% 8.50%
zyra Zyra
-9.02 46.71% 2.74% 0.45% 2.73%
twistedFate Twisted Fate
-9.21 47.81% 4.21% 0.17% 4.20%
urgot Urgot
-9.96 47.55% 4.08% 3.14% 3.95%
kled Kled
-10.23 44.74% 1.95% 0.92% 1.93%
jayce Jayce
-10.39 48.91% 9.54% 6.15% 8.95%
akali Akali
-11.05 47.06% 3.76% 2.12% 3.68%
aatrox Aatrox
-11.59 40.10% 1.17% 0.75% 1.16%
ekko Ekko
-12.12 48.69% 9.28% 5.24% 8.79%
taliyah Taliyah
-12.17 45.17% 2.52% 0.22% 2.51%
evelynn Evelynn
-12.35 46.18% 3.23% 10.22% 2.90%
khazix Khazix
-15.01 49.31% 21.84% 16.93% 18.14%
sivir Sivir
-15.11 43.13% 2.20% 0.06% 2.20%
lux Lux
-15.15 48.76% 12.20% 1.22% 12.05%
veigar Veigar
-15.62 47.72% 6.87% 2.32% 6.71%
leblanc Leblanc
-17.43 47.13% 6.07% 3.62% 5.85%
brand Brand
-17.60 47.06% 5.99% 3.17% 5.80%
vladimir Vladimir
-18.04 47.24% 6.54% 6.25% 6.13%
ornn Ornn
-20.07 45.76% 4.74% 3.10% 4.59%
camille Camille
-21.11 45.17% 4.37% 2.29% 4.27%
fiora Fiora
-21.26 47.93% 10.28% 35.53% 6.63%
poppy Poppy
-21.46 43.93% 3.53% 0.34% 3.52%
yasuo Yasuo
-21.46 49.59% 52.96% 59.01% 21.71%
nidalee Nidalee
-23.05 41.17% 2.61% 0.16% 2.61%
azir Azir
-23.89 45.12% 4.90% 1.74% 4.81%
kassadin Kassadin
-25.49 46.77% 7.89% 5.95% 7.42%
masterYi Master Yi
-27.23 48.10% 14.33% 10.01% 12.90%
gragas Gragas
-28.92 44.14% 4.94% 0.55% 4.91%
orianna Orianna
-29.02 47.61% 12.15% 3.90% 11.68%
karma Karma
-31.20 47.78% 14.04% 2.33% 13.71%
graves Graves
-31.27 47.07% 10.67% 0.96% 10.57%
chogath Cho'Gath
-32.47 46.08% 8.27% 21.32% 6.51%
talon Talon
-32.71 45.72% 7.64% 4.58% 7.29%
ryze Ryze
-33.86 43.94% 5.59% 0.65% 5.55%
syndra Syndra
-34.18 45.46% 7.53% 6.00% 7.08%
galio Galio
-35.47 42.70% 4.86% 3.65% 4.68%
ashe Ashe
-37.75 43.35% 5.67% 0.56% 5.64%
caitlyn Caitlyn
-44.54 47.14% 15.57% 7.20% 14.45%
xayah Xayah
-45.14 47.93% 21.75% 16.92% 18.07%
kayn Kayn
-48.60 47.17% 17.20% 16.47% 14.37%
darius Darius
-49.55 45.02% 9.94% 38.34% 6.13%
tristana Tristana
-57.43 47.83% 26.50% 12.23% 23.26%
vayne Vayne
-59.62 48.97% 58.17% 45.54% 31.68%
riven Riven
-77.92 45.55% 17.50% 8.96% 15.93%
jhin Jhin
-80.67 42.49% 10.74% 1.27% 10.60%
morgana Morgana
-91.98 44.50% 16.72% 10.03% 15.04%
rengar Rengar
-96.27 45.88% 23.37% 22.90% 18.02%
leeSin Lee Sin
-98.02 46.05% 24.78% 7.48% 22.93%
lucian Lucian
-125.06 43.88% 20.42% 2.40% 19.93%
thresh Thresh
-161.68 43.20% 23.77% 6.21% 22.29%

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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