Personalised Bans

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TOP PLATINUM BANS

jinx
#1 : JINX
Influence: 67
Win Rate: 53.15%
Pick Rate: 21.37%
nautilus
#2 : NAUTILUS
Influence: 51
Win Rate: 53.37%
Pick Rate: 15.13%
jhin
#3 : JHIN
Influence: 45
Win Rate: 52.34%
Pick Rate: 19.00%
darius
#4 : DARIUS (1)
Influence: 39
Win Rate: 52.02%
Pick Rate: 19.27%

ekko
#5 : EKKO (4)
Influence: 37
Win Rate: 52.70%
Pick Rate: 13.69%
caitlyn
#6 : CAITLYN (2)
Influence: 34
Win Rate: 51.22%
Pick Rate: 27.99%
fizz
#7 : FIZZ (3)
Influence: 33
Win Rate: 53.71%
Pick Rate: 8.92%
khazix
#8 : KHAZIX (2)
Influence: 32
Win Rate: 52.26%
Pick Rate: 14.25%

nami
#9 : NAMI (2)
Influence: 32
Win Rate: 52.95%
Pick Rate: 10.86%
malzahar
#10 : MALZAHAR (2)
Influence: 28
Win Rate: 54.26%
Pick Rate: 6.68%
hecarim
#11 : HECARIM (5)
Influence: 27
Win Rate: 54.04%
Pick Rate: 6.71%
mordekaiser
#12 : MORDEKAISER (1)
Influence: 27
Win Rate: 52.17%
Pick Rate: 12.35%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
jinx Jinx
67.26 53.15% 21.37% 7.63% 19.74%
nautilus Nautilus
51.01 53.37% 15.13% 17.40% 12.50%
jhin Jhin
44.56 52.34% 19.00% 3.47% 18.34%
darius Darius
38.87 52.02% 19.27% 36.21% 12.29%
ekko Ekko
36.91 52.70% 13.69% 6.24% 12.84%
caitlyn Caitlyn
34.08 51.22% 27.99% 17.40% 23.12%
fizz Fizz
33.07 53.71% 8.92% 15.88% 7.50%
khazix Khazix
32.18 52.26% 14.25% 12.44% 12.48%
nami Nami
32.03 52.95% 10.86% 0.90% 10.76%
malzahar Malzahar
28.43 54.26% 6.68% 9.48% 6.05%
hecarim Hecarim
27.07 54.04% 6.71% 8.13% 6.16%
mordekaiser Mordekaiser
26.74 52.17% 12.35% 17.22% 10.22%
volibear Volibear
25.24 54.29% 5.88% 2.20% 5.75%
lux Lux
24.92 51.21% 20.55% 7.56% 19.00%
janna Janna
23.85 53.16% 7.55% 0.86% 7.49%
jax Jax
23.23 51.27% 18.32% 26.03% 13.55%
tryndamere Tryndamere
22.25 52.56% 8.70% 10.31% 7.80%
ahri Ahri
21.54 51.81% 11.88% 7.13% 11.03%
nunu Nunu
21.45 53.53% 6.07% 6.86% 5.65%
leona Leona
20.71 51.67% 12.38% 7.68% 11.43%
zed Zed
20.57 51.40% 14.70% 33.26% 9.81%
blitzcrank Blitzcrank
20.54 52.51% 8.18% 13.77% 7.05%
soraka Soraka
20.48 52.84% 7.21% 1.97% 7.07%
brand Brand
19.58 52.18% 8.99% 10.32% 8.06%
draven Draven
19.36 51.70% 11.37% 25.43% 8.48%
velkoz Velkoz
18.50 52.79% 6.63% 1.45% 6.53%
swain Swain
18.00 52.67% 6.75% 1.93% 6.62%
nocturne Nocturne
17.57 52.64% 6.66% 2.72% 6.48%
bard Bard
17.06 53.91% 4.37% 0.58% 4.34%
zyra Zyra
16.82 52.46% 6.83% 5.14% 6.48%
drMundo Dr. Mundo
16.70 51.53% 10.95% 9.90% 9.87%
teemo Teemo
15.66 51.45% 10.82% 9.44% 9.80%
ashe Ashe
14.84 51.38% 10.79% 1.23% 10.66%
nasus Nasus
14.44 51.57% 9.18% 9.08% 8.35%
malphite Malphite
13.70 50.88% 15.61% 12.62% 13.64%
garen Garen
13.22 51.33% 9.98% 4.99% 9.48%
illaoi Illaoi
11.83 52.35% 5.03% 11.81% 4.44%
masterYi Master Yi
11.40 50.88% 12.91% 26.03% 9.55%
rengar Rengar
10.73 51.37% 7.85% 8.49% 7.18%
missFortune Miss Fortune
10.71 51.18% 9.11% 1.25% 9.00%
vladimir Vladimir
10.65 51.04% 10.27% 16.42% 8.58%
katarina Katarina
10.59 51.32% 8.05% 6.24% 7.55%
kayle Kayle
10.50 51.80% 5.83% 1.53% 5.74%
vayne Vayne
10.37 50.72% 14.46% 7.98% 13.31%
kassadin Kassadin
9.78 51.71% 5.72% 5.84% 5.39%
quinn Quinn
8.99 53.64% 2.47% 0.72% 2.45%
vi Vi
8.95 51.23% 7.26% 3.11% 7.03%
graves Graves
8.70 52.20% 3.96% 0.56% 3.94%
kennen Kennen
8.22 52.19% 3.76% 2.35% 3.67%
singed Singed
8.00 52.68% 2.99% 0.53% 2.97%
twitch Twitch
7.67 51.11% 6.93% 1.83% 6.80%
rakan Rakan
7.27 50.63% 11.63% 1.88% 11.41%
diana Diana
7.16 51.39% 5.16% 3.24% 4.99%
urgot Urgot
6.82 51.50% 4.54% 2.63% 4.42%
renekton Renekton
6.21 50.58% 10.67% 11.96% 9.39%
warwick Warwick
6.19 50.95% 6.54% 1.94% 6.41%
zilean Zilean
5.80 51.67% 3.47% 1.14% 3.43%
talon Talon
5.19 50.77% 6.70% 6.38% 6.27%
cassiopeia Cassiopeia
5.13 51.85% 2.77% 0.77% 2.75%
kindred Kindred
5.12 51.44% 3.55% 1.20% 3.51%
yorick Yorick
4.99 51.65% 3.02% 1.70% 2.97%
taric Taric
4.96 52.54% 1.96% 0.42% 1.95%
xerath Xerath
4.88 50.72% 6.78% 1.85% 6.65%
kled Kled
4.68 50.89% 5.27% 8.19% 4.84%
ziggs Ziggs
4.20 52.01% 2.09% 0.16% 2.09%
chogath Cho'Gath
4.00 50.82% 4.87% 1.09% 4.82%
shyvana Shyvana
4.00 51.38% 2.91% 0.63% 2.89%
udyr Udyr
3.70 50.90% 4.12% 3.69% 3.97%
anivia Anivia
2.67 50.88% 3.04% 1.30% 3.00%
xinZhao Xin Zhao
2.66 50.63% 4.19% 1.10% 4.14%
heimerdinger Heimerdinger
2.54 51.22% 2.08% 0.66% 2.07%
olaf Olaf
2.36 50.56% 4.22% 1.79% 4.14%
jarvanIV Jarvan IV
2.09 50.22% 9.28% 2.92% 9.01%
rumble Rumble
1.87 50.66% 2.85% 0.49% 2.84%
amumu Amumu
1.77 50.34% 5.16% 1.66% 5.07%
annie Annie
1.70 50.43% 3.97% 1.49% 3.91%
rekSai Rek'Sai
1.62 50.68% 2.38% 1.00% 2.36%
ryze Ryze
1.55 50.29% 5.26% 0.83% 5.22%
zac Zac
1.40 50.47% 2.96% 0.72% 2.94%
thresh Thresh
1.16 50.06% 19.29% 9.52% 17.45%
aurelionSol Aurelionsol
1.13 50.95% 1.18% 0.34% 1.18%
sona Sona
1.09 50.20% 5.45% 0.62% 5.42%
twistedFate Twisted Fate
1.03 50.28% 3.73% 0.16% 3.72%
kogMaw Kog'Maw
0.99 50.52% 1.91% 0.16% 1.91%
viktor Viktor
0.91 50.52% 1.77% 0.17% 1.77%
fiora Fiora
0.62 50.08% 8.02% 6.99% 7.46%
pantheon Pantheon
0.50 50.03% 19.92% 20.93% 15.75%
ivern Ivern
0.39 50.40% 0.97% 0.32% 0.97%
galio Galio
0.10 50.03% 3.67% 0.39% 3.66%
sivir Sivir
0.09 50.02% 5.24% 2.87% 5.09%
karthus Karthus
-0.08 49.98% 3.34% 3.24% 3.23%
karma Karma
-0.27 49.96% 6.33% 1.05% 6.26%
fiddlesticks Fiddlesticks
-0.36 49.90% 3.47% 1.27% 3.43%
sion Sion
-0.53 49.81% 2.76% 0.20% 2.75%
maokai Maokai
-1.11 49.29% 1.56% 0.15% 1.56%
skarner Skarner
-1.35 48.74% 1.08% 0.21% 1.08%
taliyah Taliyah
-1.85 48.83% 1.58% 0.15% 1.58%
xayah Xayah
-1.91 49.89% 16.97% 5.18% 16.09%
shen Shen
-2.25 49.66% 6.66% 0.54% 6.62%
lissandra Lissandra
-2.36 48.55% 1.63% 0.43% 1.62%
elise Elise
-2.40 49.50% 4.78% 2.82% 4.65%
tahmKench Tahm Kench
-3.53 47.84% 1.63% 1.31% 1.61%
nidalee Nidalee
-3.60 48.90% 3.27% 0.45% 3.26%
tristana Tristana
-3.96 49.63% 10.64% 2.08% 10.42%
kalista Kalista
-4.35 45.75% 1.02% 0.14% 1.02%
syndra Syndra
-4.57 49.05% 4.80% 1.28% 4.74%
shaco Shaco
-4.78 48.76% 3.83% 2.20% 3.75%
yasuo Yasuo
-4.87 49.86% 34.76% 46.66% 18.54%
monkeyKing Wukong
-5.31 48.05% 2.72% 0.32% 2.71%
corki Corki
-5.57 46.62% 1.65% 0.33% 1.64%
gnar Gnar
-5.98 48.11% 3.16% 0.69% 3.14%
trundle Trundle
-5.99 46.78% 1.86% 0.22% 1.86%
camille Camille
-6.04 48.49% 4.00% 0.97% 3.96%
morgana Morgana
-6.14 49.74% 23.64% 43.11% 13.45%
gragas Gragas
-6.34 48.74% 5.04% 0.51% 5.01%
rammus Rammus
-6.78 48.04% 3.45% 6.71% 3.22%
veigar Veigar
-7.09 49.14% 8.20% 3.35% 7.93%
leeSin Lee Sin
-8.33 49.43% 14.48% 6.98% 13.47%
alistar Alistar
-8.43 47.64% 3.56% 1.25% 3.52%
varus Varus
-9.09 47.81% 4.16% 0.26% 4.15%
evelynn Evelynn
-9.76 48.86% 8.54% 22.64% 6.61%
jayce Jayce
-10.02 45.78% 2.38% 0.64% 2.36%
azir Azir
-11.13 43.82% 1.80% 0.57% 1.79%
orianna Orianna
-11.33 47.11% 3.92% 0.37% 3.91%
braum Braum
-11.88 46.32% 3.22% 1.05% 3.19%
sejuani Sejuani
-12.09 46.44% 3.40% 1.35% 3.35%
leblanc Leblanc
-12.39 47.69% 5.38% 5.71% 5.07%
lucian Lucian
-12.83 49.06% 13.72% 2.28% 13.41%
lulu Lulu
-13.09 47.86% 6.11% 0.99% 6.05%
poppy Poppy
-14.03 45.74% 3.29% 0.88% 3.26%
gangplank Gangplank
-18.54 46.61% 5.47% 1.41% 5.39%
riven Riven
-26.54 47.11% 9.20% 6.43% 8.61%
aatrox Aatrox
-27.08 43.79% 4.36% 13.23% 3.78%
irelia Irelia
-34.38 45.27% 7.27% 5.12% 6.90%
ezreal Ezreal
-52.22 47.27% 19.13% 6.08% 17.97%
akali Akali
-62.53 44.78% 11.98% 25.12% 8.97%

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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