Personalised Bans

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TOP PLATINUM BANS

jinx
#1 : JINX (2)
Influence: 134
Win Rate: 57.64%
Pick Rate: 17.57%
sivir
#2 : SIVIR
Influence: 120
Win Rate: 54.59%
Pick Rate: 26.17%
yasuo
#3 : YASUO (4)
Influence: 103
Win Rate: 51.81%
Pick Rate: 56.97%
blitzcrank
#4 : BLITZCRANK
Influence: 94
Win Rate: 57.76%
Pick Rate: 12.11%

soraka
#5 : SORAKA (9)
Influence: 90
Win Rate: 55.38%
Pick Rate: 16.70%
annie
#6 : ANNIE (1)
Influence: 88
Win Rate: 71.67%
Pick Rate: 4.08%
ashe
#7 : ASHE (33)
Influence: 88
Win Rate: 55.58%
Pick Rate: 15.79%
nasus
#8 : NASUS (5)
Influence: 87
Win Rate: 55.81%
Pick Rate: 14.89%

nautilus
#9 : NAUTILUS (2)
Influence: 86
Win Rate: 64.40%
Pick Rate: 6.00%
xinZhao
#10 : XIN ZHAO (10)
Influence: 78
Win Rate: 54.91%
Pick Rate: 15.93%
drMundo
#11 : DR. MUNDO (1)
Influence: 76
Win Rate: 76.39%
Pick Rate: 2.89%
vayne
#12 : VAYNE (11)
Influence: 74
Win Rate: 52.46%
Pick Rate: 30.15%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
jinx Jinx
134.13 57.64% 17.57% 2.01% 17.22%
sivir Sivir
120.07 54.59% 26.17% 15.96% 21.99%
yasuo Yasuo
103.13 51.81% 56.97% 76.55% 13.36%
blitzcrank Blitzcrank
93.94 57.76% 12.11% 19.63% 9.73%
soraka Soraka
89.91 55.38% 16.70% 6.48% 15.62%
annie Annie
88.28 71.67% 4.08% 0.91% 4.04%
ashe Ashe
88.06 55.58% 15.79% 1.16% 15.61%
nasus Nasus
86.54 55.81% 14.89% 15.71% 12.55%
nautilus Nautilus
86.40 64.40% 6.00% 0.53% 5.97%
xinZhao Xin Zhao
78.17 54.91% 15.93% 20.42% 12.68%
drMundo Dr. Mundo
76.23 76.39% 2.89% 0.38% 2.88%
vayne Vayne
74.04 52.46% 30.15% 30.06% 21.09%
tahmKench Tahm Kench
72.24 69.27% 3.75% 0.75% 3.72%
sejuani Sejuani
71.32 54.51% 15.83% 6.90% 14.74%
twistedFate Twisted Fate
67.42 62.69% 5.32% 0.38% 5.30%
jax Jax
63.92 53.19% 20.07% 16.55% 16.75%
warwick Warwick
61.50 62.28% 5.01% 1.06% 4.96%
riven Riven
61.37 56.23% 9.85% 5.09% 9.35%
sion Sion
59.63 58.94% 6.67% 1.13% 6.59%
shyvana Shyvana
54.88 58.77% 6.26% 2.58% 6.10%
fiddlesticks Fiddlesticks
51.04 58.38% 6.09% 1.63% 5.99%
mordekaiser Mordekaiser
50.11 73.89% 2.10% 0.47% 2.09%
nunu Nunu
50.10 58.25% 6.08% 1.24% 6.00%
tryndamere Tryndamere
47.70 59.72% 4.91% 2.79% 4.77%
jarvanIV Jarvan IV
47.16 53.83% 12.33% 2.00% 12.08%
fizz Fizz
46.86 56.41% 7.31% 7.63% 6.75%
diana Diana
43.60 58.54% 5.11% 1.49% 5.03%
quinn Quinn
42.53 80.00% 1.42% 0.54% 1.41%
brand Brand
41.72 54.71% 8.87% 10.13% 7.97%
talon Talon
40.24 57.18% 5.60% 4.33% 5.36%
alistar Alistar
39.12 53.60% 10.86% 9.34% 9.85%
leona Leona
36.81 53.10% 11.86% 10.06% 10.67%
kalista Kalista
34.95 64.10% 2.48% 0.22% 2.47%
khazix Khazix
33.39 54.29% 7.78% 4.94% 7.40%
fiora Fiora
31.22 54.54% 6.88% 2.89% 6.68%
malphite Malphite
27.95 55.18% 5.40% 1.46% 5.32%
skarner Skarner
25.91 100.00% 0.52% 0.15% 0.52%
rengar Rengar
24.74 56.84% 3.62% 1.49% 3.57%
swain Swain
24.71 57.70% 3.21% 0.36% 3.20%
janna Janna
24.28 55.34% 4.55% 0.43% 4.53%
rakan Rakan
23.98 68.81% 1.27% 0.17% 1.27%
zilean Zilean
22.03 53.52% 6.27% 0.96% 6.21%
taric Taric
19.61 59.37% 2.10% 0.25% 2.09%
rekSai Rek'Sai
19.44 54.77% 4.08% 1.90% 4.00%
elise Elise
15.40 54.10% 3.76% 1.25% 3.71%
heimerdinger Heimerdinger
15.30 53.45% 4.44% 1.60% 4.37%
syndra Syndra
15.15 55.42% 2.80% 0.44% 2.79%
varus Varus
13.88 54.67% 2.97% 0.40% 2.96%
taliyah Taliyah
13.38 60.72% 1.25% 0.08% 1.25%
katarina Katarina
11.69 52.09% 5.58% 3.27% 5.40%
pantheon Pantheon
11.59 52.68% 4.33% 2.09% 4.24%
gnar Gnar
10.88 55.28% 2.06% 0.21% 2.06%
lucian Lucian
10.61 50.31% 34.77% 42.37% 20.04%
volibear Volibear
9.11 53.22% 2.83% 0.47% 2.82%
ekko Ekko
7.65 51.20% 6.37% 1.49% 6.28%
xerath Xerath
7.40 51.37% 5.41% 1.56% 5.33%
urgot Urgot
7.03 50.73% 9.60% 11.71% 8.48%
draven Draven
5.25 50.98% 5.36% 5.89% 5.04%
anivia Anivia
4.85 50.91% 5.33% 3.54% 5.14%
kled Kled
2.71 50.66% 4.13% 1.17% 4.08%
akali Akali
2.59 51.25% 2.07% 3.56% 2.00%
trundle Trundle
2.45 52.08% 1.18% 0.17% 1.18%
ivern Ivern
2.25 51.01% 2.24% 1.83% 2.20%
rammus Rammus
2.01 50.27% 7.43% 8.66% 6.79%
aatrox Aatrox
1.11 50.42% 2.67% 2.49% 2.60%
maokai Maokai
0.14 50.05% 2.62% 0.15% 2.62%
camille Camille
-0.05 49.99% 4.70% 1.80% 4.62%
olaf Olaf
-3.36 48.42% 2.13% 0.44% 2.12%
thresh Thresh
-4.01 49.83% 23.96% 14.81% 20.41%
cassiopeia Cassiopeia
-4.60 48.38% 2.84% 1.91% 2.79%
renekton Renekton
-5.75 49.47% 10.80% 5.79% 10.17%
tristana Tristana
-5.89 49.11% 6.62% 0.36% 6.60%
morgana Morgana
-6.73 49.63% 17.95% 15.13% 15.23%
veigar Veigar
-8.54 48.64% 6.27% 1.45% 6.18%
singed Singed
-9.03 47.32% 3.37% 0.90% 3.34%
ryze Ryze
-9.41 47.75% 4.18% 0.59% 4.16%
kassadin Kassadin
-10.22 48.64% 7.51% 10.09% 6.75%
zyra Zyra
-10.33 49.07% 11.11% 15.39% 9.40%
aurelionSol Aurelionsol
-10.40 37.50% 0.83% 0.48% 0.83%
kayle Kayle
-10.85 45.42% 2.37% 0.34% 2.36%
twitch Twitch
-11.33 47.55% 4.62% 0.87% 4.58%
gangplank Gangplank
-11.87 46.58% 3.47% 0.53% 3.45%
lux Lux
-12.01 48.81% 10.08% 1.07% 9.97%
graves Graves
-12.05 48.11% 6.37% 2.11% 6.24%
rumble Rumble
-13.26 44.31% 2.33% 0.20% 2.33%
vi Vi
-13.28 47.86% 6.20% 1.31% 6.12%
lulu Lulu
-13.53 47.40% 5.19% 0.38% 5.17%
kennen Kennen
-14.49 43.96% 2.40% 0.57% 2.39%
shaco Shaco
-14.77 45.65% 3.40% 3.63% 3.28%
shen Shen
-16.52 45.10% 3.38% 0.18% 3.37%
velkoz Velkoz
-17.63 48.30% 10.34% 2.35% 10.10%
leblanc Leblanc
-18.00 47.89% 8.52% 12.96% 7.42%
chogath Cho'Gath
-18.33 44.93% 3.62% 0.36% 3.61%
nami Nami
-20.51 47.76% 9.14% 0.71% 9.08%
zac Zac
-21.36 43.25% 3.16% 0.40% 3.15%
xayah Xayah
-23.09 40.21% 2.36% 0.24% 2.35%
braum Braum
-24.95 45.49% 5.53% 0.62% 5.50%
teemo Teemo
-28.23 44.62% 5.24% 2.75% 5.10%
sona Sona
-29.50 46.36% 8.11% 0.80% 8.05%
ziggs Ziggs
-32.61 40.48% 3.43% 0.25% 3.42%
yorick Yorick
-34.03 49.09% 37.20% 71.64% 10.55%
lissandra Lissandra
-36.08 45.02% 7.25% 5.04% 6.88%
bard Bard
-36.48 39.17% 3.37% 0.19% 3.36%
corki Corki
-36.93 37.12% 2.86% 0.17% 2.86%
zed Zed
-38.41 47.56% 15.74% 33.75% 10.43%
azir Azir
-39.66 36.98% 3.05% 0.69% 3.03%
gragas Gragas
-41.41 39.30% 3.88% 0.16% 3.87%
poppy Poppy
-43.19 41.60% 5.14% 0.61% 5.11%
monkeyKing Wukong
-43.30 33.75% 2.67% 0.65% 2.65%
jayce Jayce
-43.73 43.58% 6.80% 3.13% 6.59%
kindred Kindred
-44.40 39.18% 4.10% 2.43% 4.00%
garen Garen
-45.89 45.57% 10.36% 3.51% 10.00%
illaoi Illaoi
-46.55 45.19% 9.69% 13.40% 8.39%
kogMaw Kog'Maw
-46.64 5.00% 1.04% 0.14% 1.04%
nidalee Nidalee
-51.66 36.88% 3.94% 0.94% 3.90%
nocturne Nocturne
-52.82 42.35% 6.90% 3.91% 6.63%
orianna Orianna
-55.91 37.14% 4.35% 0.43% 4.33%
galio Galio
-56.25 34.33% 3.60% 0.99% 3.56%
udyr Udyr
-58.41 35.14% 3.93% 2.51% 3.83%
amumu Amumu
-58.73 32.14% 3.29% 0.48% 3.27%
darius Darius
-61.32 46.11% 15.77% 20.29% 12.57%
evelynn Evelynn
-61.83 41.24% 7.06% 9.36% 6.40%
malzahar Malzahar
-63.33 46.90% 20.45% 21.97% 15.96%
irelia Irelia
-64.43 41.80% 7.86% 5.89% 7.40%
hecarim Hecarim
-66.63 35.31% 4.54% 1.29% 4.48%
jhin Jhin
-69.60 42.62% 9.43% 0.76% 9.36%
vladimir Vladimir
-72.99 45.54% 16.36% 19.33% 13.20%
ahri Ahri
-80.50 42.97% 11.44% 3.67% 11.02%
viktor Viktor
-80.68 36.96% 6.19% 1.15% 6.12%
karma Karma
-103.93 38.04% 8.69% 1.02% 8.60%
leeSin Lee Sin
-111.75 43.19% 16.40% 7.13% 15.23%
missFortune Miss Fortune
-115.06 35.55% 7.97% 1.33% 7.86%
masterYi Master Yi
-127.32 41.74% 15.41% 21.82% 12.05%
karthus Karthus
-148.58 43.82% 24.03% 66.38% 8.08%
caitlyn Caitlyn
-215.07 37.63% 17.40% 6.82% 16.21%
ezreal Ezreal
-307.80 42.02% 38.55% 10.49% 34.51%

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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