Personalised Bans

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TOP GOLD BANS

janna
#1 : JANNA
Influence: 166
Win Rate: 56.85%
Pick Rate: 24.18%
soraka
#2 : SORAKA (1)
Influence: 99
Win Rate: 56.70%
Pick Rate: 14.72%
twitch
#3 : TWITCH (1)
Influence: 98
Win Rate: 54.52%
Pick Rate: 21.76%
missFortune
#4 : MISS FORTUNE (4)
Influence: 79
Win Rate: 54.10%
Pick Rate: 19.17%

garen
#5 : GAREN (6)
Influence: 65
Win Rate: 56.81%
Pick Rate: 9.49%
xinZhao
#6 : XIN ZHAO (2)
Influence: 61
Win Rate: 55.55%
Pick Rate: 11.04%
warwick
#7 : WARWICK
Influence: 58
Win Rate: 53.38%
Pick Rate: 17.04%
jinx
#8 : JINX (3)
Influence: 56
Win Rate: 52.77%
Pick Rate: 20.15%

sona
#9 : SONA (3)
Influence: 49
Win Rate: 54.17%
Pick Rate: 11.71%
lux
#10 : LUX (13)
Influence: 47
Win Rate: 52.31%
Pick Rate: 20.53%
nami
#11 : NAMI (5)
Influence: 47
Win Rate: 53.29%
Pick Rate: 14.39%
tristana
#12 : TRISTANA (4)
Influence: 46
Win Rate: 51.86%
Pick Rate: 24.65%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
165.63 56.85% 24.18% 9.55% 21.87%
soraka Soraka
98.65 56.70% 14.72% 8.43% 13.48%
twitch Twitch
98.28 54.52% 21.76% 24.49% 16.43%
missFortune Miss Fortune
78.61 54.10% 19.17% 6.80% 17.87%
garen Garen
64.53 56.81% 9.49% 5.46% 8.97%
xinZhao Xin Zhao
61.28 55.55% 11.04% 6.56% 10.32%
warwick Warwick
57.52 53.38% 17.04% 30.47% 11.85%
jinx Jinx
55.87 52.77% 20.15% 3.88% 19.37%
sona Sona
48.90 54.17% 11.71% 1.48% 11.54%
lux Lux
47.44 52.31% 20.53% 7.42% 19.01%
nami Nami
47.31 53.29% 14.39% 0.76% 14.28%
tristana Tristana
45.78 51.86% 24.65% 7.95% 22.69%
jarvanIV Jarvan IV
45.68 54.59% 9.94% 4.21% 9.52%
ziggs Ziggs
41.07 55.37% 7.65% 1.63% 7.53%
annie Annie
39.60 54.67% 8.49% 2.90% 8.24%
brand Brand
35.92 52.45% 14.68% 17.69% 12.08%
blitzcrank Blitzcrank
34.83 51.46% 23.90% 40.12% 14.31%
swain Swain
31.01 57.33% 4.23% 1.06% 4.19%
amumu Amumu
30.66 55.61% 5.46% 2.68% 5.31%
kogMaw Kog'Maw
28.02 57.63% 3.67% 0.61% 3.65%
xayah Xayah
25.88 52.03% 12.78% 8.19% 11.73%
irelia Irelia
25.45 54.94% 5.15% 2.07% 5.04%
anivia Anivia
24.40 56.49% 3.76% 1.63% 3.70%
quinn Quinn
23.42 56.90% 3.40% 0.77% 3.37%
vayne Vayne
22.86 51.11% 20.64% 20.90% 16.33%
malzahar Malzahar
22.77 52.18% 10.45% 12.51% 9.14%
maokai Maokai
22.35 51.67% 13.43% 13.15% 11.66%
gragas Gragas
21.86 52.68% 8.15% 2.22% 7.97%
tryndamere Tryndamere
20.77 52.60% 7.97% 8.63% 7.28%
singed Singed
20.05 62.93% 1.56% 0.33% 1.55%
draven Draven
19.71 52.08% 9.45% 15.77% 7.96%
teemo Teemo
18.05 52.38% 7.59% 6.06% 7.13%
chogath Cho'Gath
17.25 51.45% 11.94% 28.53% 8.53%
pantheon Pantheon
16.92 51.96% 8.62% 13.82% 7.43%
kennen Kennen
16.76 55.77% 2.90% 0.79% 2.88%
nocturne Nocturne
15.71 53.39% 4.63% 1.46% 4.56%
sejuani Sejuani
14.25 52.06% 6.92% 3.09% 6.71%
morgana Morgana
14.02 51.08% 12.95% 8.19% 11.89%
rakan Rakan
13.94 51.62% 8.63% 2.05% 8.45%
akali Akali
11.14 52.12% 5.26% 7.41% 4.87%
sivir Sivir
11.04 51.50% 7.33% 0.30% 7.31%
nasus Nasus
10.83 50.84% 12.86% 15.77% 10.83%
renekton Renekton
10.45 51.21% 8.63% 4.35% 8.25%
jax Jax
10.11 50.67% 15.10% 13.10% 13.12%
vi Vi
9.08 51.44% 6.32% 3.13% 6.12%
sion Sion
8.45 51.60% 5.29% 0.37% 5.27%
taric Taric
7.90 51.08% 7.30% 1.10% 7.22%
lissandra Lissandra
7.81 53.57% 2.20% 0.25% 2.19%
fizz Fizz
7.56 50.83% 9.07% 28.70% 6.47%
velkoz Velkoz
6.55 50.91% 7.22% 3.23% 6.99%
viktor Viktor
5.83 51.28% 4.55% 1.28% 4.49%
kayle Kayle
5.81 51.37% 4.24% 0.79% 4.21%
heimerdinger Heimerdinger
5.39 52.16% 2.49% 0.82% 2.47%
udyr Udyr
5.23 52.51% 2.08% 0.19% 2.08%
yorick Yorick
4.74 51.13% 4.21% 2.05% 4.12%
kindred Kindred
4.15 51.37% 3.02% 0.40% 3.01%
khazix Khazix
3.40 50.36% 9.44% 7.01% 8.78%
aurelionSol Aurelionsol
3.31 52.91% 1.14% 0.64% 1.13%
evelynn Evelynn
2.83 50.63% 4.54% 3.42% 4.38%
shyvana Shyvana
2.72 50.50% 5.46% 1.00% 5.41%
illaoi Illaoi
2.51 50.65% 3.85% 7.81% 3.55%
volibear Volibear
2.48 50.85% 2.91% 1.32% 2.87%
olaf Olaf
2.10 50.63% 3.33% 0.58% 3.31%
nidalee Nidalee
1.41 50.70% 2.02% 0.11% 2.02%
fiddlesticks Fiddlesticks
1.39 50.50% 2.77% 0.30% 2.76%
varus Varus
0.79 50.09% 8.54% 1.10% 8.45%
kled Kled
0.69 50.21% 3.22% 3.89% 3.09%
zilean Zilean
-0.20 49.92% 2.49% 0.26% 2.48%
hecarim Hecarim
-0.83 49.86% 6.14% 8.46% 5.62%
rumble Rumble
-1.79 49.18% 2.19% 0.49% 2.18%
tahmKench Tahm Kench
-2.12 49.23% 2.74% 0.61% 2.72%
karthus Karthus
-2.36 48.84% 2.04% 0.30% 2.03%
leblanc Leblanc
-2.80 48.99% 2.79% 4.26% 2.67%
shen Shen
-2.85 49.61% 7.35% 1.10% 7.27%
azir Azir
-3.22 48.41% 2.01% 1.22% 1.99%
kassadin Kassadin
-3.28 49.42% 5.64% 6.36% 5.28%
ivern Ivern
-3.31 47.10% 1.14% 0.32% 1.14%
monkeyKing Wukong
-3.45 49.35% 5.27% 3.66% 5.08%
twistedFate Twisted Fate
-3.49 49.37% 5.49% 0.24% 5.48%
mordekaiser Mordekaiser
-3.74 48.31% 2.20% 0.53% 2.19%
gnar Gnar
-3.87 49.30% 5.53% 2.31% 5.40%
skarner Skarner
-4.67 46.72% 1.42% 0.18% 1.42%
aatrox Aatrox
-5.50 47.28% 2.03% 0.76% 2.01%
gangplank Gangplank
-5.88 49.24% 7.73% 2.39% 7.55%
fiora Fiora
-6.32 49.20% 7.86% 12.85% 6.85%
darius Darius
-6.72 49.54% 14.53% 32.69% 9.78%
nunu Nunu
-6.78 43.78% 1.09% 0.18% 1.09%
elise Elise
-6.81 48.12% 3.62% 0.55% 3.60%
jayce Jayce
-6.82 48.46% 4.43% 2.88% 4.30%
poppy Poppy
-6.84 48.47% 4.48% 0.33% 4.47%
syndra Syndra
-6.96 48.90% 6.35% 3.97% 6.10%
corki Corki
-7.07 47.70% 3.08% 0.54% 3.06%
malphite Malphite
-7.25 48.93% 6.79% 2.28% 6.64%
graves Graves
-7.96 47.11% 2.75% 0.67% 2.73%
drMundo Dr. Mundo
-9.12 47.69% 3.94% 0.79% 3.91%
rammus Rammus
-10.37 48.02% 5.26% 2.03% 5.15%
shaco Shaco
-10.66 47.82% 4.88% 4.08% 4.68%
taliyah Taliyah
-11.03 46.64% 3.29% 0.32% 3.28%
ahri Ahri
-11.37 49.27% 15.57% 8.87% 14.19%
karma Karma
-11.54 47.78% 5.19% 0.23% 5.18%
xerath Xerath
-11.65 46.29% 3.13% 0.75% 3.11%
jhin Jhin
-11.87 49.47% 22.29% 6.23% 20.90%
urgot Urgot
-12.52 48.54% 8.58% 15.95% 7.21%
kalista Kalista
-12.75 46.94% 4.16% 1.11% 4.11%
rekSai Rek'Sai
-12.82 43.71% 2.03% 0.24% 2.03%
talon Talon
-13.44 47.59% 5.59% 7.33% 5.18%
bard Bard
-13.71 47.26% 5.00% 1.25% 4.94%
nautilus Nautilus
-14.69 47.19% 5.23% 0.26% 5.22%
alistar Alistar
-17.57 46.72% 5.35% 1.09% 5.29%
katarina Katarina
-17.68 47.82% 8.12% 24.86% 6.10%
trundle Trundle
-19.07 45.45% 4.20% 0.44% 4.18%
cassiopeia Cassiopeia
-20.47 41.00% 2.27% 0.64% 2.26%
ryze Ryze
-22.21 37.26% 1.74% 0.15% 1.74%
veigar Veigar
-23.14 48.46% 15.02% 12.21% 13.19%
zac Zac
-23.64 46.72% 7.20% 35.95% 4.61%
diana Diana
-24.55 46.62% 7.26% 3.34% 7.02%
ashe Ashe
-27.05 47.62% 11.34% 0.33% 11.30%
ekko Ekko
-28.97 46.42% 8.09% 3.39% 7.82%
zyra Zyra
-29.09 45.41% 6.34% 3.95% 6.09%
camille Camille
-29.27 41.63% 3.50% 1.11% 3.46%
galio Galio
-30.70 44.08% 5.19% 7.01% 4.83%
masterYi Master Yi
-30.78 48.28% 17.95% 31.31% 12.33%
riven Riven
-34.36 46.50% 9.83% 5.42% 9.30%
lucian Lucian
-38.27 47.24% 13.86% 2.27% 13.55%
rengar Rengar
-38.77 38.95% 3.51% 0.78% 3.48%
orianna Orianna
-39.71 46.37% 10.95% 3.98% 10.51%
braum Braum
-44.30 44.76% 8.47% 4.56% 8.08%
zed Zed
-45.66 46.73% 13.97% 39.17% 8.50%
lulu Lulu
-45.73 47.10% 15.77% 11.40% 13.97%
leona Leona
-45.85 45.84% 11.01% 6.46% 10.30%
ezreal Ezreal
-46.47 44.74% 8.84% 0.64% 8.78%
leeSin Lee Sin
-47.05 46.16% 12.26% 6.88% 11.42%
yasuo Yasuo
-48.00 48.27% 27.74% 53.03% 13.03%
vladimir Vladimir
-53.36 44.78% 10.21% 18.73% 8.30%
thresh Thresh
-59.34 46.38% 16.38% 8.05% 15.06%
caitlyn Caitlyn
-91.40 44.85% 17.75% 15.22% 15.05%

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.

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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