Personalised Bans

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TOP DIAMOND BANS

caitlyn
#1 : CAITLYN
Influence: 96
Win Rate: 52.79%
Pick Rate: 34.55%
darius
#2 : DARIUS (1)
Influence: 91
Win Rate: 54.21%
Pick Rate: 21.70%
camille
#3 : CAMILLE (6)
Influence: 78
Win Rate: 55.41%
Pick Rate: 14.51%
khazix
#4 : KHAZIX (1)
Influence: 75
Win Rate: 54.51%
Pick Rate: 16.70%

ziggs
#5 : ZIGGS (2)
Influence: 66
Win Rate: 54.39%
Pick Rate: 15.09%
hecarim
#6 : HECARIM (2)
Influence: 64
Win Rate: 52.84%
Pick Rate: 22.50%
yasuo
#7 : YASUO
Influence: 52
Win Rate: 51.38%
Pick Rate: 37.85%
vi
#8 : VI (1)
Influence: 48
Win Rate: 51.95%
Pick Rate: 24.76%

janna
#9 : JANNA (2)
Influence: 47
Win Rate: 53.05%
Pick Rate: 15.31%
leblanc
#10 : LEBLANC (3)
Influence: 43
Win Rate: 54.15%
Pick Rate: 10.38%
draven
#11 : DRAVEN (1)
Influence: 42
Win Rate: 53.11%
Pick Rate: 13.60%
twitch
#12 : TWITCH (1)
Influence: 33
Win Rate: 53.07%
Pick Rate: 10.73%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
caitlyn Caitlyn
96.32 52.79% 34.55% 8.08% 31.76%
darius Darius
91.41 54.21% 21.70% 34.39% 14.24%
camille Camille
78.45 55.41% 14.51% 63.48% 5.30%
khazix Khazix
75.29 54.51% 16.70% 10.59% 14.93%
ziggs Ziggs
66.21 54.39% 15.09% 14.65% 12.88%
hecarim Hecarim
63.85 52.84% 22.50% 39.56% 13.60%
yasuo Yasuo
52.22 51.38% 37.85% 56.09% 16.62%
vi Vi
48.27 51.95% 24.76% 34.89% 16.12%
janna Janna
46.72 53.05% 15.31% 1.07% 15.15%
leblanc Leblanc
43.04 54.15% 10.38% 30.80% 7.18%
draven Draven
42.27 53.11% 13.60% 4.83% 12.94%
twitch Twitch
32.98 53.07% 10.73% 3.49% 10.36%
ivern Ivern
30.85 57.74% 3.99% 3.43% 3.85%
varus Varus
30.81 53.49% 8.81% 0.14% 8.80%
twistedFate Twisted Fate
28.37 53.91% 7.24% 0.33% 7.22%
veigar Veigar
27.51 53.51% 7.83% 1.58% 7.71%
rengar Rengar
25.77 51.97% 13.08% 29.45% 9.23%
blitzcrank Blitzcrank
24.89 51.57% 15.83% 10.87% 14.11%
zed Zed
24.28 52.98% 8.13% 5.58% 7.68%
tryndamere Tryndamere
23.89 53.15% 7.59% 2.19% 7.42%
katarina Katarina
22.31 51.38% 16.20% 40.85% 9.58%
jayce Jayce
20.80 51.93% 10.81% 6.53% 10.10%
akali Akali
20.33 55.48% 3.71% 1.10% 3.67%
jax Jax
20.01 52.44% 8.21% 1.25% 8.11%
shen Shen
19.27 56.69% 2.88% 0.07% 2.88%
sion Sion
16.75 53.94% 4.25% 0.08% 4.25%
udyr Udyr
16.45 55.32% 3.10% 0.17% 3.09%
missFortune Miss Fortune
16.44 51.33% 12.36% 0.45% 12.30%
leona Leona
16.13 51.63% 9.90% 0.64% 9.84%
malzahar Malzahar
15.68 50.97% 16.20% 13.19% 14.06%
nautilus Nautilus
15.42 51.57% 9.80% 0.70% 9.73%
fiora Fiora
14.84 51.75% 8.48% 2.62% 8.26%
talon Talon
14.76 54.18% 3.53% 0.84% 3.50%
fizz Fizz
13.89 51.92% 7.23% 6.80% 6.74%
sona Sona
12.41 51.33% 9.35% 0.34% 9.32%
swain Swain
11.58 51.87% 6.18% 1.05% 6.12%
volibear Volibear
11.44 53.13% 3.65% 0.41% 3.64%
nami Nami
11.40 51.08% 10.56% 0.09% 10.55%
pantheon Pantheon
11.03 51.76% 6.28% 1.21% 6.20%
jhin Jhin
11.00 50.45% 24.58% 2.08% 24.07%
nunu Nunu
10.65 59.50% 1.12% 0.06% 1.12%
tahmKench Tahm Kench
10.61 53.32% 3.20% 0.30% 3.19%
zilean Zilean
10.60 52.64% 4.01% 0.24% 4.00%
ekko Ekko
10.53 51.05% 10.05% 2.10% 9.84%
ahri Ahri
9.72 50.73% 13.32% 1.49% 13.12%
vayne Vayne
9.65 50.40% 24.11% 16.85% 20.05%
quinn Quinn
9.39 53.44% 2.74% 0.22% 2.73%
xerath Xerath
8.98 51.87% 4.81% 0.21% 4.80%
syndra Syndra
8.65 51.13% 7.65% 15.84% 6.44%
lulu Lulu
7.13 51.69% 4.20% 0.07% 4.20%
soraka Soraka
6.68 50.79% 8.45% 1.78% 8.30%
aurelionSol Aurelionsol
6.40 55.05% 1.26% 0.32% 1.26%
kassadin Kassadin
5.89 51.96% 3.02% 0.17% 3.01%
sivir Sivir
5.83 51.25% 4.67% 0.07% 4.67%
anivia Anivia
5.71 51.81% 3.15% 0.28% 3.14%
jinx Jinx
5.64 50.43% 13.04% 0.47% 12.98%
taliyah Taliyah
5.53 52.34% 2.36% 0.09% 2.36%
rumble Rumble
5.32 51.68% 3.16% 0.13% 3.16%
skarner Skarner
5.18 53.30% 1.57% 0.09% 1.57%
garen Garen
5.14 50.70% 7.39% 1.41% 7.29%
velkoz Velkoz
5.09 50.83% 6.16% 0.25% 6.14%
shaco Shaco
4.90 50.60% 8.17% 5.47% 7.72%
nocturne Nocturne
4.28 50.80% 5.37% 0.48% 5.34%
zyra Zyra
3.50 50.29% 11.86% 4.05% 11.38%
illaoi Illaoi
3.48 50.81% 4.30% 3.96% 4.13%
rammus Rammus
2.90 50.95% 3.07% 0.37% 3.06%
singed Singed
2.75 50.54% 5.10% 1.11% 5.04%
annie Annie
2.47 50.23% 10.65% 4.10% 10.21%
kled Kled
2.34 50.87% 2.67% 0.50% 2.66%
karma Karma
1.38 50.14% 9.71% 0.45% 9.67%
corki Corki
1.13 50.22% 5.09% 0.25% 5.08%
irelia Irelia
0.94 50.18% 5.07% 1.27% 5.01%
taric Taric
0.76 50.26% 2.93% 0.07% 2.93%
braum Braum
0.13 50.02% 6.39% 0.61% 6.35%
warwick Warwick
-0.26 49.89% 2.34% 0.20% 2.34%
heimerdinger Heimerdinger
-1.07 49.42% 1.85% 0.30% 1.84%
evelynn Evelynn
-1.29 49.78% 5.76% 3.92% 5.53%
mordekaiser Mordekaiser
-1.35 49.12% 1.54% 0.16% 1.54%
graves Graves
-1.37 49.83% 8.16% 0.70% 8.10%
fiddlesticks Fiddlesticks
-1.49 49.33% 2.24% 0.21% 2.24%
karthus Karthus
-1.88 48.94% 1.78% 0.06% 1.78%
maokai Maokai
-2.30 49.67% 6.85% 0.59% 6.81%
zac Zac
-2.44 49.78% 10.96% 13.43% 9.49%
kindred Kindred
-2.59 48.39% 1.61% 0.08% 1.61%
brand Brand
-3.41 49.73% 12.74% 4.99% 12.10%
trundle Trundle
-3.50 48.95% 3.34% 0.16% 3.33%
galio Galio
-3.64 47.26% 1.33% 0.09% 1.33%
urgot Urgot
-3.65 45.27% 0.77% 0.20% 0.77%
gragas Gragas
-3.83 48.36% 2.33% 0.06% 2.33%
cassiopeia Cassiopeia
-4.03 48.74% 3.20% 0.88% 3.17%
rekSai Rek'Sai
-4.17 48.78% 3.40% 0.14% 3.40%
azir Azir
-4.35 47.96% 2.14% 0.30% 2.13%
monkeyKing Wukong
-4.64 49.29% 6.54% 0.41% 6.51%
aatrox Aatrox
-5.13 47.08% 1.75% 1.41% 1.73%
amumu Amumu
-6.44 48.92% 5.93% 1.08% 5.87%
gangplank Gangplank
-6.62 49.56% 14.96% 2.25% 14.62%
riven Riven
-6.88 49.57% 15.80% 4.50% 15.09%
morgana Morgana
-7.12 49.51% 14.53% 2.20% 14.21%
vladimir Vladimir
-7.51 46.32% 2.04% 0.21% 2.04%
xinZhao Xin Zhao
-7.78 48.80% 6.49% 0.80% 6.44%
renekton Renekton
-8.19 48.92% 7.59% 1.03% 7.51%
yorick Yorick
-8.83 47.28% 3.25% 0.66% 3.23%
lissandra Lissandra
-9.17 46.23% 2.43% 0.11% 2.43%
kogMaw Kog'Maw
-9.92 43.37% 1.49% 0.10% 1.49%
tristana Tristana
-9.95 47.72% 4.36% 0.07% 4.36%
malphite Malphite
-10.94 48.50% 7.28% 0.98% 7.21%
kennen Kennen
-11.55 46.90% 3.72% 1.12% 3.68%
jarvanIV Jarvan IV
-11.64 47.65% 4.94% 0.18% 4.93%
orianna Orianna
-11.66 48.92% 10.75% 0.56% 10.69%
nidalee Nidalee
-12.54 42.40% 1.65% 0.10% 1.65%
leeSin Lee Sin
-14.15 49.51% 29.18% 19.15% 23.59%
gnar Gnar
-14.98 44.43% 2.69% 0.27% 2.68%
viktor Viktor
-15.39 47.78% 6.94% 0.60% 6.90%
drMundo Dr. Mundo
-18.39 42.15% 2.34% 0.37% 2.33%
diana Diana
-18.52 45.42% 4.05% 0.58% 4.03%
nasus Nasus
-18.64 47.59% 7.74% 1.93% 7.59%
kayle Kayle
-19.16 45.00% 3.84% 0.47% 3.82%
thresh Thresh
-19.89 49.26% 26.87% 1.23% 26.54%
bard Bard
-20.22 45.95% 4.99% 0.29% 4.98%
poppy Poppy
-20.96 47.98% 10.36% 9.97% 9.33%
elise Elise
-20.97 45.96% 5.19% 0.26% 5.18%
lux Lux
-23.85 48.77% 19.35% 2.94% 18.78%
kalista Kalista
-23.99 45.95% 5.93% 0.49% 5.90%
olaf Olaf
-24.11 44.32% 4.24% 0.78% 4.21%
alistar Alistar
-24.92 45.36% 5.38% 0.69% 5.34%
chogath Cho'Gath
-25.03 40.65% 2.67% 0.38% 2.66%
ashe Ashe
-28.95 46.64% 8.62% 0.21% 8.60%
sejuani Sejuani
-30.71 39.41% 2.90% 0.08% 2.90%
masterYi Master Yi
-33.11 45.18% 6.86% 1.64% 6.75%
lucian Lucian
-39.94 47.22% 14.37% 0.29% 14.33%
ezreal Ezreal
-45.77 48.04% 23.30% 0.67% 23.14%
shyvana Shyvana
-61.71 41.37% 7.15% 4.86% 6.80%
ryze Ryze
-65.35 42.48% 8.70% 5.50% 8.22%
teemo Teemo
-79.90 38.74% 7.09% 1.33% 7.00%

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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