Personalised Bans

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TOP GOLD BANS

vi
#1 : VI (1)
Influence: 94
Win Rate: 54.74%
Pick Rate: 19.93%
blitzcrank
#2 : BLITZCRANK (4)
Influence: 62
Win Rate: 53.59%
Pick Rate: 17.17%
annie
#3 : ANNIE (11)
Influence: 55
Win Rate: 54.87%
Pick Rate: 11.37%
ekko
#4 : EKKO (7)
Influence: 49
Win Rate: 55.56%
Pick Rate: 8.89%

ahri
#5 : AHRI (3)
Influence: 49
Win Rate: 53.72%
Pick Rate: 13.06%
twitch
#6 : TWITCH (5)
Influence: 46
Win Rate: 53.64%
Pick Rate: 12.56%
zyra
#7 : ZYRA (6)
Influence: 46
Win Rate: 53.88%
Pick Rate: 11.75%
darius
#8 : DARIUS (5)
Influence: 45
Win Rate: 52.03%
Pick Rate: 22.19%

jinx
#9 : JINX (11)
Influence: 44
Win Rate: 53.67%
Pick Rate: 12.08%
shyvana
#10 : SHYVANA (3)
Influence: 41
Win Rate: 57.16%
Pick Rate: 5.67%
khazix
#11 : KHAZIX (7)
Influence: 36
Win Rate: 51.69%
Pick Rate: 20.98%
rengar
#12 : RENGAR (7)
Influence: 34
Win Rate: 52.70%
Pick Rate: 12.70%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
vi Vi
94.43 54.74% 19.93% 16.41% 16.66%
blitzcrank Blitzcrank
61.59 53.59% 17.17% 10.47% 15.37%
annie Annie
55.29 54.87% 11.37% 5.33% 10.76%
ekko Ekko
49.36 55.56% 8.89% 1.66% 8.74%
ahri Ahri
48.62 53.72% 13.06% 1.75% 12.83%
twitch Twitch
45.68 53.64% 12.56% 3.55% 12.11%
zyra Zyra
45.61 53.88% 11.75% 3.88% 11.29%
darius Darius
44.97 52.03% 22.19% 42.62% 12.73%
jinx Jinx
44.29 53.67% 12.08% 0.58% 12.01%
shyvana Shyvana
40.59 57.16% 5.67% 2.24% 5.54%
khazix Khazix
35.51 51.69% 20.98% 11.84% 18.50%
rengar Rengar
34.31 52.70% 12.70% 25.59% 9.45%
soraka Soraka
33.34 53.82% 8.73% 1.70% 8.58%
maokai Maokai
32.98 53.63% 9.09% 1.28% 8.97%
twistedFate Twisted Fate
32.96 53.64% 9.05% 1.02% 8.96%
velkoz Velkoz
32.69 56.75% 4.85% 0.20% 4.84%
graves Graves
32.43 53.63% 8.95% 0.58% 8.90%
syndra Syndra
30.48 53.16% 9.64% 16.12% 8.09%
yasuo Yasuo
26.87 50.74% 36.19% 54.60% 16.43%
xinZhao Xin Zhao
25.43 54.02% 6.33% 0.75% 6.28%
varus Varus
24.75 52.52% 9.84% 0.15% 9.83%
corki Corki
23.47 53.72% 6.30% 0.66% 6.26%
ziggs Ziggs
23.11 51.91% 12.09% 7.16% 11.22%
quinn Quinn
22.92 59.24% 2.49% 0.24% 2.48%
shaco Shaco
22.78 52.59% 8.79% 5.39% 8.32%
camille Camille
21.33 51.85% 11.52% 63.29% 4.23%
taric Taric
19.80 57.54% 2.62% 0.11% 2.62%
jarvanIV Jarvan IV
19.61 54.06% 4.84% 0.24% 4.83%
renekton Renekton
19.10 52.75% 6.94% 1.31% 6.85%
brand Brand
18.97 51.83% 10.38% 3.94% 9.97%
sona Sona
18.92 52.16% 8.77% 0.22% 8.75%
akali Akali
18.09 54.99% 3.63% 1.32% 3.58%
amumu Amumu
17.48 52.77% 6.31% 1.30% 6.23%
missFortune Miss Fortune
15.45 51.17% 13.20% 0.56% 13.13%
nocturne Nocturne
14.21 52.63% 5.41% 0.73% 5.37%
kled Kled
13.73 56.24% 2.21% 0.32% 2.20%
talon Talon
12.86 54.16% 3.09% 0.63% 3.07%
swain Swain
12.77 52.70% 4.73% 0.94% 4.69%
tryndamere Tryndamere
12.52 51.70% 7.38% 2.43% 7.20%
masterYi Master Yi
12.23 51.67% 7.32% 2.07% 7.17%
draven Draven
11.38 50.87% 13.05% 5.36% 12.35%
nami Nami
11.35 51.32% 8.62% 0.06% 8.61%
yorick Yorick
10.30 53.73% 2.76% 0.47% 2.75%
sivir Sivir
10.13 52.33% 4.35% 0.07% 4.35%
ivern Ivern
9.31 53.56% 2.62% 2.57% 2.55%
garen Garen
8.49 51.00% 8.47% 1.78% 8.32%
kogMaw Kog'Maw
7.74 57.11% 1.09% 0.12% 1.09%
morgana Morgana
7.22 50.51% 14.16% 2.48% 13.81%
anivia Anivia
6.85 52.74% 2.50% 0.32% 2.49%
rumble Rumble
6.16 51.90% 3.25% 0.21% 3.24%
nautilus Nautilus
6.03 50.61% 9.89% 0.67% 9.82%
kayle Kayle
5.06 51.28% 3.96% 0.56% 3.94%
aurelionSol Aurelionsol
4.80 54.11% 1.17% 0.47% 1.16%
rekSai Rek'Sai
3.49 50.90% 3.87% 0.16% 3.86%
mordekaiser Mordekaiser
3.39 52.75% 1.23% 0.12% 1.23%
tristana Tristana
2.54 50.62% 4.13% 0.07% 4.13%
skarner Skarner
2.11 52.02% 1.04% 0.09% 1.04%
leblanc Leblanc
1.92 50.18% 10.81% 37.82% 6.72%
vladimir Vladimir
1.22 50.64% 1.90% 0.16% 1.90%
rammus Rammus
0.75 50.24% 3.13% 0.36% 3.12%
illaoi Illaoi
0.59 50.15% 3.89% 3.17% 3.77%
kindred Kindred
0.43 50.42% 1.04% 0.10% 1.04%
kalista Kalista
0.28 50.07% 3.97% 0.29% 3.96%
jax Jax
0.26 50.03% 8.52% 1.44% 8.40%
evelynn Evelynn
0.02 50.00% 6.46% 8.37% 5.92%
jayce Jayce
0.00 50.00% 10.70% 6.69% 9.98%
bard Bard
-1.85 49.54% 4.03% 0.25% 4.02%
malzahar Malzahar
-2.07 49.88% 16.87% 16.19% 14.14%
zilean Zilean
-2.09 49.39% 3.43% 0.22% 3.42%
fiddlesticks Fiddlesticks
-2.20 49.00% 2.20% 0.26% 2.19%
malphite Malphite
-2.26 49.77% 9.93% 2.07% 9.72%
galio Galio
-2.57 48.27% 1.48% 0.16% 1.48%
zed Zed
-2.76 49.71% 9.50% 8.99% 8.65%
olaf Olaf
-3.35 49.27% 4.57% 0.95% 4.53%
pantheon Pantheon
-3.68 49.42% 6.37% 1.85% 6.25%
fiora Fiora
-3.92 49.56% 8.80% 3.44% 8.50%
monkeyKing Wukong
-3.94 49.32% 5.75% 0.49% 5.72%
hecarim Hecarim
-4.49 49.77% 19.31% 26.03% 14.28%
sion Sion
-4.53 48.87% 3.99% 0.15% 3.98%
caitlyn Caitlyn
-5.36 49.83% 32.01% 7.96% 29.46%
aatrox Aatrox
-5.52 46.09% 1.41% 1.33% 1.39%
nunu Nunu
-5.95 43.09% 0.86% 0.11% 0.86%
janna Janna
-6.54 49.45% 11.85% 0.48% 11.79%
udyr Udyr
-6.56 47.33% 2.45% 0.16% 2.45%
karthus Karthus
-7.12 45.31% 1.52% 0.08% 1.52%
fizz Fizz
-7.31 49.00% 7.29% 7.42% 6.75%
veigar Veigar
-8.64 48.75% 6.92% 1.05% 6.85%
teemo Teemo
-9.91 48.83% 8.43% 1.95% 8.27%
gnar Gnar
-9.92 45.19% 2.07% 0.25% 2.06%
lissandra Lissandra
-10.30 46.48% 2.93% 0.14% 2.93%
kennen Kennen
-10.50 47.35% 3.97% 0.99% 3.93%
lulu Lulu
-10.65 47.14% 3.73% 0.06% 3.73%
karma Karma
-10.83 48.83% 9.26% 0.38% 9.22%
volibear Volibear
-11.59 46.17% 3.03% 0.23% 3.02%
kassadin Kassadin
-11.80 45.88% 2.87% 0.29% 2.86%
urgot Urgot
-12.24 33.57% 0.74% 0.32% 0.74%
leona Leona
-12.73 48.72% 9.96% 0.74% 9.89%
elise Elise
-13.05 47.73% 5.73% 0.60% 5.70%
xerath Xerath
-13.31 46.87% 4.25% 0.24% 4.24%
tahmKench Tahm Kench
-13.70 45.40% 2.98% 0.35% 2.97%
sejuani Sejuani
-13.83 44.50% 2.51% 0.07% 2.51%
heimerdinger Heimerdinger
-13.96 40.16% 1.42% 0.23% 1.42%
drMundo Dr. Mundo
-14.29 43.50% 2.20% 0.48% 2.19%
nidalee Nidalee
-14.50 40.89% 1.59% 0.11% 1.59%
poppy Poppy
-14.91 48.45% 9.64% 7.35% 8.93%
alistar Alistar
-16.11 47.30% 5.96% 1.31% 5.88%
taliyah Taliyah
-17.10 43.77% 2.74% 0.12% 2.74%
orianna Orianna
-17.98 48.65% 13.27% 1.18% 13.11%
ezreal Ezreal
-18.92 49.30% 27.13% 1.02% 26.85%
zac Zac
-19.02 47.79% 8.59% 6.29% 8.05%
irelia Irelia
-19.49 45.99% 4.86% 1.36% 4.79%
ashe Ashe
-19.87 48.28% 11.56% 0.22% 11.53%
braum Braum
-19.98 46.90% 6.44% 0.90% 6.38%
chogath Cho'Gath
-20.30 41.58% 2.42% 0.28% 2.41%
shen Shen
-22.06 42.87% 3.09% 0.04% 3.09%
nasus Nasus
-22.74 47.06% 7.73% 2.02% 7.57%
cassiopeia Cassiopeia
-23.52 44.01% 3.92% 1.85% 3.85%
trundle Trundle
-23.83 42.32% 3.11% 0.26% 3.10%
singed Singed
-23.93 45.40% 5.20% 1.52% 5.12%
gragas Gragas
-24.53 39.69% 2.38% 0.08% 2.38%
warwick Warwick
-24.59 35.14% 1.65% 0.10% 1.65%
viktor Viktor
-26.58 46.09% 6.81% 0.83% 6.75%
thresh Thresh
-29.02 49.03% 29.84% 1.62% 29.36%
jhin Jhin
-31.64 48.54% 21.63% 1.86% 21.23%
katarina Katarina
-33.49 48.21% 18.69% 49.16% 9.50%
gangplank Gangplank
-34.91 47.45% 13.70% 2.70% 13.33%
diana Diana
-35.18 41.20% 4.00% 0.64% 3.97%
riven Riven
-35.81 48.03% 18.20% 5.40% 17.22%
azir Azir
-43.36 36.25% 3.15% 0.39% 3.14%
lucian Lucian
-58.13 45.94% 14.31% 0.33% 14.26%
lux Lux
-65.09 46.04% 16.42% 1.92% 16.10%
vayne Vayne
-65.81 47.88% 31.01% 25.98% 22.95%
ryze Ryze
-84.04 41.75% 10.19% 5.79% 9.60%
leeSin Lee Sin
-145.83 45.78% 34.51% 21.62% 27.05%

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.

For the time being this section isn't going to be updated. Hopefully we can get back to you with writeups in the near future.

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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