Personalised Bans

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TOP GOLD BANS

mordekaiser
#1 : MORDEKAISER (1)
Influence: 160
Win Rate: 53.60%
Pick Rate: 44.56%
lux
#2 : LUX (1)
Influence: 150
Win Rate: 53.42%
Pick Rate: 43.76%
jinx
#3 : JINX
Influence: 71
Win Rate: 53.76%
Pick Rate: 18.97%
sivir
#4 : SIVIR
Influence: 50
Win Rate: 52.84%
Pick Rate: 17.53%

ashe
#5 : ASHE (2)
Influence: 40
Win Rate: 52.44%
Pick Rate: 16.28%
masterYi
#6 : MASTER YI (1)
Influence: 39
Win Rate: 52.47%
Pick Rate: 15.79%
hecarim
#7 : HECARIM (1)
Influence: 39
Win Rate: 53.08%
Pick Rate: 12.50%
vi
#8 : VI
Influence: 33
Win Rate: 53.84%
Pick Rate: 8.65%

diana
#9 : DIANA
Influence: 31
Win Rate: 53.61%
Pick Rate: 8.67%
zed
#10 : ZED (9)
Influence: 29
Win Rate: 51.47%
Pick Rate: 19.60%
malzahar
#11 : MALZAHAR (2)
Influence: 27
Win Rate: 53.91%
Pick Rate: 6.88%
nami
#12 : NAMI (2)
Influence: 26
Win Rate: 52.39%
Pick Rate: 10.80%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
mordekaiser Mordekaiser
160.37 53.60% 44.56% 64.03% 16.03%
lux Lux
149.55 53.42% 43.76% 35.62% 28.17%
jinx Jinx
71.29 53.76% 18.97% 3.94% 18.22%
sivir Sivir
49.85 52.84% 17.53% 16.36% 14.66%
ashe Ashe
39.73 52.44% 16.28% 2.11% 15.94%
masterYi Master Yi
38.92 52.47% 15.79% 28.63% 11.27%
hecarim Hecarim
38.55 53.08% 12.50% 23.12% 9.61%
vi Vi
33.19 53.84% 8.65% 3.84% 8.32%
diana Diana
31.33 53.61% 8.67% 4.51% 8.28%
zed Zed
28.90 51.47% 19.60% 40.87% 11.59%
malzahar Malzahar
26.88 53.91% 6.88% 9.40% 6.23%
nami Nami
25.75 52.39% 10.80% 0.83% 10.71%
nunu Nunu
24.40 54.11% 5.94% 3.37% 5.74%
volibear Volibear
23.54 53.46% 6.81% 1.69% 6.69%
brand Brand
23.33 52.43% 9.58% 9.92% 8.63%
garen Garen
23.14 52.20% 10.50% 4.28% 10.05%
teemo Teemo
22.38 52.48% 9.02% 7.75% 8.32%
darius Darius
20.51 51.12% 18.27% 32.53% 12.33%
ahri Ahri
20.49 51.68% 12.16% 7.52% 11.25%
amumu Amumu
20.35 53.03% 6.73% 2.76% 6.54%
sona Sona
19.53 52.46% 7.93% 1.26% 7.83%
warwick Warwick
19.51 52.88% 6.78% 1.67% 6.67%
xerath Xerath
18.42 52.92% 6.30% 1.64% 6.20%
zyra Zyra
17.50 52.83% 6.19% 4.04% 5.94%
caitlyn Caitlyn
16.94 50.66% 25.77% 11.90% 22.70%
nasus Nasus
16.64 51.76% 9.46% 9.20% 8.59%
morgana Morgana
15.74 50.70% 22.57% 34.51% 14.78%
xayah Xayah
15.24 52.16% 7.04% 0.91% 6.98%
fizz Fizz
14.77 52.19% 6.72% 8.10% 6.18%
blitzcrank Blitzcrank
14.66 51.65% 8.91% 13.96% 7.67%
urgot Urgot
14.45 53.17% 4.55% 2.87% 4.42%
veigar Veigar
14.30 51.47% 9.70% 3.71% 9.34%
zilean Zilean
13.49 53.36% 4.02% 1.25% 3.97%
ekko Ekko
12.99 51.76% 7.36% 1.87% 7.22%
udyr Udyr
12.95 52.24% 5.78% 5.90% 5.44%
jax Jax
12.88 50.81% 15.90% 19.63% 12.78%
velkoz Velkoz
12.30 51.68% 7.32% 1.65% 7.20%
yorick Yorick
12.30 53.75% 3.28% 1.75% 3.22%
illaoi Illaoi
12.25 52.12% 5.78% 9.96% 5.20%
rumble Rumble
11.38 52.79% 4.08% 0.73% 4.05%
tryndamere Tryndamere
11.29 51.13% 9.97% 9.12% 9.06%
janna Janna
10.39 51.48% 7.02% 0.62% 6.98%
jarvanIV Jarvan IV
9.90 50.99% 10.02% 2.88% 9.73%
taric Taric
8.59 53.45% 2.49% 0.39% 2.48%
soraka Soraka
8.50 51.38% 6.14% 1.58% 6.04%
twitch Twitch
8.50 51.17% 7.27% 1.80% 7.14%
kennen Kennen
7.82 51.68% 4.64% 2.17% 4.54%
leona Leona
7.31 50.90% 8.12% 3.76% 7.81%
rammus Rammus
6.85 51.54% 4.46% 9.55% 4.03%
shaco Shaco
6.84 51.47% 4.63% 2.48% 4.52%
xinZhao Xin Zhao
6.59 51.29% 5.11% 1.39% 5.04%
nautilus Nautilus
6.48 50.46% 14.17% 18.42% 11.56%
jhin Jhin
6.03 50.42% 14.44% 2.23% 14.12%
kled Kled
5.06 51.90% 2.66% 0.74% 2.64%
vayne Vayne
4.99 50.31% 15.84% 8.65% 14.47%
monkeyKing Wukong
4.95 51.56% 3.17% 0.47% 3.16%
tristana Tristana
4.66 50.47% 9.91% 1.37% 9.77%
annie Annie
4.48 51.28% 3.51% 1.42% 3.46%
anivia Anivia
4.46 51.29% 3.47% 1.36% 3.42%
talon Talon
4.13 50.64% 6.45% 4.99% 6.13%
quinn Quinn
3.91 51.79% 2.19% 0.53% 2.18%
bard Bard
3.88 51.02% 3.79% 0.35% 3.78%
singed Singed
3.36 51.42% 2.37% 0.37% 2.36%
kindred Kindred
3.31 50.88% 3.76% 1.22% 3.71%
drMundo Dr. Mundo
2.69 50.94% 2.85% 1.05% 2.82%
corki Corki
2.64 50.69% 3.85% 0.45% 3.83%
draven Draven
2.50 50.17% 14.49% 26.84% 10.60%
zac Zac
2.43 50.80% 3.05% 0.70% 3.03%
missFortune Miss Fortune
2.09 50.25% 8.34% 1.36% 8.23%
heimerdinger Heimerdinger
2.04 50.96% 2.14% 0.77% 2.12%
fiddlesticks Fiddlesticks
1.99 50.54% 3.72% 1.27% 3.67%
ziggs Ziggs
1.95 50.90% 2.17% 0.21% 2.17%
tahmKench Tahm Kench
1.89 50.22% 8.48% 29.45% 5.98%
viktor Viktor
1.79 50.78% 2.31% 0.23% 2.30%
nocturne Nocturne
1.70 50.50% 3.40% 0.81% 3.37%
ivern Ivern
1.39 51.38% 1.01% 0.30% 1.01%
graves Graves
1.28 50.46% 2.82% 0.39% 2.81%
sion Sion
0.76 50.33% 2.34% 0.18% 2.34%
chogath Cho'Gath
0.72 50.15% 4.70% 0.98% 4.65%
maokai Maokai
0.57 50.35% 1.64% 0.13% 1.64%
rakan Rakan
0.26 50.06% 4.27% 0.38% 4.25%
skarner Skarner
-0.27 49.75% 1.08% 0.22% 1.08%
rekSai Rek'Sai
-0.31 49.87% 2.44% 1.37% 2.41%
kayle Kayle
-0.39 49.92% 4.54% 1.46% 4.47%
aurelionSol Aurelionsol
-0.44 49.52% 0.92% 0.31% 0.92%
renekton Renekton
-0.45 49.95% 9.54% 7.85% 8.79%
lulu Lulu
-0.69 49.90% 6.54% 1.25% 6.46%
riven Riven
-0.82 49.92% 10.88% 8.34% 9.97%
syndra Syndra
-1.31 49.48% 2.52% 0.36% 2.51%
katarina Katarina
-1.35 49.85% 8.84% 5.75% 8.33%
orianna Orianna
-1.48 49.65% 4.24% 0.41% 4.22%
swain Swain
-1.48 49.58% 3.56% 0.49% 3.54%
elise Elise
-1.50 49.68% 4.67% 1.81% 4.59%
karthus Karthus
-1.72 49.46% 3.18% 1.65% 3.13%
malphite Malphite
-1.78 49.60% 4.43% 0.78% 4.40%
olaf Olaf
-1.96 49.50% 3.93% 1.36% 3.88%
trundle Trundle
-1.96 49.15% 2.32% 0.25% 2.31%
fiora Fiora
-1.98 49.62% 5.24% 3.61% 5.05%
taliyah Taliyah
-2.10 49.01% 2.12% 0.21% 2.12%
kogMaw Kog'Maw
-2.50 48.19% 1.38% 0.12% 1.38%
shen Shen
-2.94 49.41% 4.99% 0.26% 4.98%
evelynn Evelynn
-2.98 49.63% 7.95% 13.05% 6.91%
shyvana Shyvana
-3.04 48.93% 2.83% 0.44% 2.82%
cassiopeia Cassiopeia
-3.55 47.74% 1.58% 0.40% 1.57%
vladimir Vladimir
-3.74 49.57% 8.66% 13.07% 7.53%
poppy Poppy
-3.92 48.76% 3.17% 0.49% 3.15%
camille Camille
-4.21 48.89% 3.81% 1.03% 3.77%
pantheon Pantheon
-4.65 49.00% 4.66% 2.59% 4.54%
khazix Khazix
-4.68 49.37% 7.40% 3.05% 7.17%
twistedFate Twisted Fate
-5.08 48.93% 4.77% 0.36% 4.75%
braum Braum
-5.68 48.21% 3.17% 0.91% 3.14%
kassadin Kassadin
-6.03 48.52% 4.07% 3.11% 3.94%
karma Karma
-6.25 49.38% 10.17% 4.07% 9.76%
rengar Rengar
-6.52 49.34% 9.89% 7.88% 9.11%
gnar Gnar
-6.70 48.23% 3.80% 0.67% 3.77%
lissandra Lissandra
-6.98 45.43% 1.53% 0.50% 1.52%
azir Azir
-7.20 48.11% 3.81% 0.74% 3.78%
kalista Kalista
-7.22 44.40% 1.29% 0.14% 1.29%
varus Varus
-8.24 48.34% 4.97% 0.30% 4.96%
galio Galio
-10.06 42.53% 1.35% 0.15% 1.35%
alistar Alistar
-10.17 47.10% 3.51% 1.10% 3.47%
jayce Jayce
-10.42 46.12% 2.68% 0.83% 2.66%
nidalee Nidalee
-11.90 46.09% 3.04% 0.37% 3.03%
sejuani Sejuani
-12.39 48.16% 6.73% 4.23% 6.45%
ryze Ryze
-13.12 47.59% 5.43% 1.28% 5.36%
leblanc Leblanc
-14.97 46.47% 4.24% 5.48% 4.01%
gragas Gragas
-15.25 45.97% 3.79% 0.21% 3.78%
yasuo Yasuo
-15.73 49.52% 32.76% 43.25% 18.59%
gangplank Gangplank
-17.43 46.69% 5.27% 0.90% 5.22%
thresh Thresh
-18.70 48.96% 17.98% 7.42% 16.65%
lucian Lucian
-27.45 47.27% 10.04% 1.27% 9.91%
aatrox Aatrox
-30.22 47.87% 14.19% 23.38% 10.87%
leeSin Lee Sin
-34.98 47.29% 12.94% 5.07% 12.28%
irelia Irelia
-39.97 45.08% 8.13% 6.61% 7.59%
akali Akali
-56.64 43.42% 8.60% 8.60% 7.86%
ezreal Ezreal
-67.63 47.28% 24.82% 9.06% 22.57%

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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