Personalised Bans

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TOP PLATINUM BANS

janna
#1 : JANNA
Influence: 164
Win Rate: 55.89%
Pick Rate: 27.86%
soraka
#2 : SORAKA (2)
Influence: 94
Win Rate: 55.71%
Pick Rate: 16.38%
vayne
#3 : VAYNE
Influence: 92
Win Rate: 51.89%
Pick Rate: 48.44%
twitch
#4 : TWITCH (1)
Influence: 85
Win Rate: 53.71%
Pick Rate: 22.88%

jinx
#5 : JINX (3)
Influence: 81
Win Rate: 53.23%
Pick Rate: 25.07%
jarvanIV
#6 : JARVAN IV
Influence: 58
Win Rate: 53.84%
Pick Rate: 15.21%
tristana
#7 : TRISTANA
Influence: 56
Win Rate: 51.93%
Pick Rate: 29.28%
darius
#8 : DARIUS (3)
Influence: 54
Win Rate: 53.40%
Pick Rate: 16.01%

fizz
#9 : FIZZ (3)
Influence: 46
Win Rate: 54.14%
Pick Rate: 11.12%
sona
#10 : SONA (2)
Influence: 44
Win Rate: 55.77%
Pick Rate: 7.66%
malzahar
#11 : MALZAHAR (2)
Influence: 43
Win Rate: 54.93%
Pick Rate: 8.74%
pantheon
#12 : PANTHEON (2)
Influence: 38
Win Rate: 55.81%
Pick Rate: 6.56%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
164.12 55.89% 27.86% 28.26% 19.99%
soraka Soraka
93.58 55.71% 16.38% 12.89% 14.27%
vayne Vayne
91.55 51.89% 48.44% 49.40% 24.51%
twitch Twitch
84.90 53.71% 22.88% 28.64% 16.33%
jinx Jinx
80.96 53.23% 25.07% 3.67% 24.15%
jarvanIV Jarvan IV
58.42 53.84% 15.21% 8.18% 13.97%
tristana Tristana
56.34 51.93% 29.28% 17.51% 24.15%
darius Darius
54.44 53.40% 16.01% 53.97% 7.37%
fizz Fizz
46.00 54.14% 11.12% 30.48% 7.73%
sona Sona
44.18 55.77% 7.66% 0.58% 7.62%
malzahar Malzahar
43.07 54.93% 8.74% 15.63% 7.37%
pantheon Pantheon
38.04 55.81% 6.56% 6.69% 6.12%
warwick Warwick
37.97 52.97% 12.78% 10.73% 11.41%
ahri Ahri
36.56 52.49% 14.70% 8.00% 13.52%
maokai Maokai
30.30 52.94% 10.30% 11.01% 9.17%
yasuo Yasuo
29.95 51.04% 28.73% 48.41% 14.82%
leona Leona
28.85 51.97% 14.65% 9.20% 13.30%
chogath Cho'Gath
28.01 52.05% 13.65% 34.13% 8.99%
anivia Anivia
27.01 55.88% 4.59% 1.72% 4.51%
katarina Katarina
24.93 53.20% 7.79% 8.36% 7.14%
sejuani Sejuani
24.42 52.43% 10.07% 13.18% 8.74%
kogMaw Kog'Maw
22.28 53.78% 5.89% 2.42% 5.75%
nasus Nasus
21.92 52.21% 9.93% 12.41% 8.70%
garen Garen
21.68 52.26% 9.62% 5.81% 9.06%
riven Riven
21.11 51.50% 14.10% 8.46% 12.91%
teemo Teemo
20.44 53.17% 6.45% 3.02% 6.26%
rammus Rammus
19.88 52.74% 7.25% 5.96% 6.82%
ziggs Ziggs
19.15 55.14% 3.72% 0.34% 3.71%
morgana Morgana
17.51 51.48% 11.88% 5.77% 11.19%
singed Singed
17.01 54.73% 3.60% 1.57% 3.54%
jax Jax
16.01 51.23% 12.99% 6.86% 12.10%
kayn Kayn
15.54 50.71% 22.05% 30.20% 15.39%
twistedFate Twisted Fate
15.20 51.94% 7.84% 0.78% 7.78%
lux Lux
15.19 51.18% 12.88% 1.53% 12.68%
annie Annie
15.03 52.24% 6.72% 3.28% 6.50%
akali Akali
14.88 53.46% 4.31% 4.62% 4.11%
monkeyKing Wukong
13.55 53.89% 3.48% 0.50% 3.46%
shyvana Shyvana
13.46 52.49% 5.41% 1.34% 5.34%
kassadin Kassadin
13.22 52.07% 6.39% 4.39% 6.11%
heimerdinger Heimerdinger
12.79 56.82% 1.88% 0.44% 1.87%
shaco Shaco
12.76 53.68% 3.47% 0.99% 3.44%
sion Sion
12.33 53.38% 3.65% 0.27% 3.64%
tryndamere Tryndamere
11.59 51.82% 6.39% 4.05% 6.13%
amumu Amumu
11.20 52.15% 5.22% 1.63% 5.13%
xerath Xerath
11.16 54.10% 2.72% 0.32% 2.71%
yorick Yorick
10.62 53.63% 2.93% 1.56% 2.88%
jhin Jhin
10.18 50.69% 14.80% 2.12% 14.49%
mordekaiser Mordekaiser
9.82 53.35% 2.93% 1.19% 2.90%
malphite Malphite
9.13 51.60% 5.72% 1.25% 5.65%
lulu Lulu
8.46 50.48% 17.71% 15.03% 15.05%
aatrox Aatrox
8.43 57.58% 1.12% 0.67% 1.11%
vi Vi
7.77 51.28% 6.09% 1.70% 5.99%
brand Brand
7.63 51.31% 5.84% 3.38% 5.64%
hecarim Hecarim
7.43 52.23% 3.34% 0.75% 3.31%
rekSai Rek'Sai
6.64 52.19% 3.03% 0.65% 3.01%
talon Talon
6.62 51.10% 6.02% 5.10% 5.71%
vladimir Vladimir
6.56 50.81% 8.15% 8.22% 7.48%
diana Diana
6.55 51.13% 5.81% 4.75% 5.53%
karthus Karthus
6.49 56.67% 0.97% 0.12% 0.97%
gnar Gnar
6.36 50.68% 9.36% 5.39% 8.86%
fiddlesticks Fiddlesticks
6.10 52.32% 2.63% 0.53% 2.62%
khazix Khazix
5.93 50.74% 8.04% 2.54% 7.84%
graves Graves
5.57 52.37% 2.35% 0.16% 2.35%
volibear Volibear
5.41 51.87% 2.90% 0.37% 2.89%
zilean Zilean
5.28 52.46% 2.16% 0.25% 2.15%
kennen Kennen
4.87 51.35% 3.60% 0.92% 3.57%
nami Nami
4.41 50.42% 10.45% 0.57% 10.39%
ivern Ivern
4.25 53.13% 1.36% 0.28% 1.36%
taric Taric
4.14 50.63% 6.57% 0.62% 6.53%
kindred Kindred
4.01 52.14% 1.88% 0.20% 1.88%
xinZhao Xin Zhao
3.79 50.51% 7.43% 3.56% 7.17%
skarner Skarner
3.73 53.05% 1.22% 0.10% 1.22%
missFortune Miss Fortune
3.64 50.32% 11.57% 1.77% 11.37%
kled Kled
3.56 51.00% 3.57% 3.62% 3.44%
sivir Sivir
2.74 50.51% 5.43% 0.30% 5.41%
bard Bard
2.63 50.46% 5.74% 0.67% 5.70%
velkoz Velkoz
2.52 50.55% 4.58% 0.58% 4.55%
gangplank Gangplank
1.91 50.28% 6.95% 1.75% 6.83%
quinn Quinn
1.76 50.85% 2.08% 0.43% 2.07%
nocturne Nocturne
0.82 50.37% 2.23% 0.15% 2.23%
nunu Nunu
0.36 50.43% 0.84% 0.05% 0.84%
renekton Renekton
-0.78 49.91% 8.88% 5.68% 8.38%
illaoi Illaoi
-0.81 49.75% 3.23% 7.69% 2.98%
ezreal Ezreal
-1.13 49.93% 16.73% 7.51% 15.47%
aurelionSol Aurelionsol
-1.14 48.62% 0.82% 0.40% 0.82%
zyra Zyra
-1.18 49.61% 3.01% 0.64% 2.99%
swain Swain
-1.78 49.40% 2.97% 0.99% 2.94%
udyr Udyr
-2.28 47.84% 1.05% 0.12% 1.05%
poppy Poppy
-2.29 49.54% 4.93% 0.38% 4.91%
varus Varus
-2.60 49.46% 4.80% 0.28% 4.79%
masterYi Master Yi
-2.67 49.78% 12.29% 15.44% 10.39%
trundle Trundle
-3.06 49.21% 3.90% 0.70% 3.87%
irelia Irelia
-3.13 49.13% 3.59% 1.76% 3.53%
rumble Rumble
-3.65 48.89% 3.30% 0.54% 3.28%
fiora Fiora
-4.72 49.62% 12.34% 25.22% 9.23%
lissandra Lissandra
-4.77 48.40% 2.97% 0.39% 2.96%
corki Corki
-5.16 48.04% 2.63% 0.46% 2.62%
kayle Kayle
-5.24 48.29% 3.06% 0.72% 3.04%
zed Zed
-5.34 49.82% 29.64% 53.98% 13.64%
veigar Veigar
-5.40 49.23% 6.99% 3.14% 6.77%
evelynn Evelynn
-5.62 47.13% 1.95% 1.16% 1.93%
taliyah Taliyah
-5.86 47.53% 2.37% 0.41% 2.36%
drMundo Dr. Mundo
-6.14 47.70% 2.66% 0.93% 2.64%
nidalee Nidalee
-7.02 47.48% 2.79% 0.27% 2.78%
kalista Kalista
-7.15 48.45% 4.61% 0.87% 4.57%
olaf Olaf
-7.33 47.55% 2.99% 0.49% 2.98%
jayce Jayce
-7.34 49.12% 8.30% 4.91% 7.89%
draven Draven
-8.08 49.46% 14.90% 31.67% 10.18%
urgot Urgot
-8.17 48.04% 4.17% 4.32% 3.99%
viktor Viktor
-8.62 46.85% 2.74% 0.23% 2.73%
rengar Rengar
-8.97 47.02% 3.01% 0.42% 3.00%
elise Elise
-9.54 47.84% 4.43% 1.29% 4.37%
ekko Ekko
-12.49 48.83% 10.63% 5.55% 10.04%
camille Camille
-12.78 46.05% 3.23% 2.47% 3.15%
alistar Alistar
-13.28 48.62% 9.63% 2.45% 9.39%
leblanc Leblanc
-13.45 47.29% 4.96% 4.52% 4.74%
orianna Orianna
-13.60 48.98% 13.27% 4.00% 12.74%
syndra Syndra
-14.33 48.32% 8.52% 7.64% 7.87%
shen Shen
-14.77 48.38% 9.12% 1.57% 8.98%
xayah Xayah
-14.77 49.26% 19.83% 18.65% 16.13%
azir Azir
-15.46 43.41% 2.35% 0.64% 2.33%
tahmKench Tahm Kench
-16.07 43.67% 2.54% 0.46% 2.53%
cassiopeia Cassiopeia
-16.42 44.15% 2.81% 1.20% 2.78%
zac Zac
-16.69 48.04% 8.53% 25.58% 6.35%
ryze Ryze
-17.71 43.84% 2.88% 0.33% 2.87%
thresh Thresh
-17.93 49.38% 29.03% 12.45% 25.42%
blitzcrank Blitzcrank
-18.62 48.69% 14.19% 18.56% 11.56%
karma Karma
-19.33 45.83% 4.63% 0.20% 4.62%
ashe Ashe
-21.99 47.76% 9.79% 0.53% 9.74%
gragas Gragas
-28.26 46.93% 9.22% 1.92% 9.04%
galio Galio
-29.48 44.87% 5.75% 2.01% 5.63%
nautilus Nautilus
-32.91 43.86% 5.37% 0.67% 5.33%
rakan Rakan
-36.82 47.19% 13.09% 6.72% 12.21%
braum Braum
-37.42 46.75% 11.50% 5.15% 10.91%
ornn Ornn
-39.11 38.20% 3.32% 5.08% 3.15%
caitlyn Caitlyn
-44.10 45.29% 9.37% 7.11% 8.70%
lucian Lucian
-63.59 46.10% 16.28% 3.57% 15.70%
leeSin Lee Sin
-66.54 47.96% 32.62% 22.90% 25.15%

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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