Personalised Bans

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TOP PLATINUM BANS

yasuo
#1 : YASUO (1)
Influence: 219
Win Rate: 57.90%
Pick Rate: 27.74%
janna
#2 : JANNA (1)
Influence: 203
Win Rate: 58.40%
Pick Rate: 24.18%
twitch
#3 : TWITCH (1)
Influence: 116
Win Rate: 55.32%
Pick Rate: 21.76%
missFortune
#4 : MISS FORTUNE (3)
Influence: 112
Win Rate: 55.83%
Pick Rate: 19.17%

ahri
#5 : AHRI (2)
Influence: 95
Win Rate: 56.07%
Pick Rate: 15.57%
soraka
#6 : SORAKA
Influence: 87
Win Rate: 55.93%
Pick Rate: 14.72%
warwick
#7 : WARWICK (1)
Influence: 86
Win Rate: 55.03%
Pick Rate: 17.04%
masterYi
#8 : MASTER YI (3)
Influence: 77
Win Rate: 54.30%
Pick Rate: 17.95%

jinx
#9 : JINX (4)
Influence: 75
Win Rate: 53.73%
Pick Rate: 20.15%
sona
#10 : SONA (5)
Influence: 73
Win Rate: 56.20%
Pick Rate: 11.71%
ziggs
#11 : ZIGGS (1)
Influence: 68
Win Rate: 58.93%
Pick Rate: 7.65%
vayne
#12 : VAYNE (7)
Influence: 56
Win Rate: 52.72%
Pick Rate: 20.64%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
yasuo Yasuo
219.20 57.90% 27.74% 53.03% 13.03%
janna Janna
203.10 58.40% 24.18% 9.55% 21.87%
twitch Twitch
115.68 55.32% 21.76% 24.49% 16.43%
missFortune Miss Fortune
111.83 55.83% 19.17% 6.80% 17.87%
ahri Ahri
94.59 56.07% 15.57% 8.87% 14.19%
soraka Soraka
87.32 55.93% 14.72% 8.43% 13.48%
warwick Warwick
85.77 55.03% 17.04% 30.47% 11.85%
masterYi Master Yi
77.09 54.30% 17.95% 31.31% 12.33%
jinx Jinx
75.11 53.73% 20.15% 3.88% 19.37%
sona Sona
72.64 56.20% 11.71% 1.48% 11.54%
ziggs Ziggs
68.29 58.93% 7.65% 1.63% 7.53%
vayne Vayne
56.05 52.72% 20.64% 20.90% 16.33%
pantheon Pantheon
55.93 56.49% 8.62% 13.82% 7.43%
jarvanIV Jarvan IV
47.74 54.80% 9.94% 4.21% 9.52%
chogath Cho'Gath
45.75 53.83% 11.94% 28.53% 8.53%
maokai Maokai
43.22 53.22% 13.43% 13.15% 11.66%
teemo Teemo
40.88 55.38% 7.59% 6.06% 7.13%
lux Lux
40.10 51.95% 20.53% 7.42% 19.01%
amumu Amumu
37.15 56.80% 5.46% 2.68% 5.31%
quinn Quinn
36.80 60.83% 3.40% 0.77% 3.37%
annie Annie
36.57 54.31% 8.49% 2.90% 8.24%
tristana Tristana
36.11 51.47% 24.65% 7.95% 22.69%
garen Garen
30.63 53.23% 9.49% 5.46% 8.97%
diana Diana
30.54 54.21% 7.26% 3.34% 7.02%
heimerdinger Heimerdinger
28.79 61.55% 2.49% 0.82% 2.47%
malzahar Malzahar
27.95 52.67% 10.45% 12.51% 9.14%
anivia Anivia
27.56 57.33% 3.76% 1.63% 3.70%
akali Akali
27.38 55.20% 5.26% 7.41% 4.87%
aatrox Aatrox
26.45 63.06% 2.03% 0.76% 2.01%
ashe Ashe
24.92 52.20% 11.34% 0.33% 11.30%
trundle Trundle
23.01 55.49% 4.20% 0.44% 4.18%
nami Nami
21.48 51.49% 14.39% 0.76% 14.28%
tryndamere Tryndamere
20.85 52.62% 7.97% 8.63% 7.28%
jax Jax
20.04 51.33% 15.10% 13.10% 13.12%
katarina Katarina
19.80 52.44% 8.12% 24.86% 6.10%
shyvana Shyvana
19.53 53.57% 5.46% 1.00% 5.41%
sion Sion
17.71 53.35% 5.29% 0.37% 5.27%
vladimir Vladimir
15.88 51.56% 10.21% 18.73% 8.30%
ekko Ekko
15.27 51.89% 8.09% 3.39% 7.82%
bard Bard
15.06 53.01% 5.00% 1.25% 4.94%
elise Elise
14.74 54.08% 3.62% 0.55% 3.60%
olaf Olaf
14.69 54.42% 3.33% 0.58% 3.31%
xayah Xayah
14.50 51.14% 12.78% 8.19% 11.73%
sivir Sivir
13.88 51.89% 7.33% 0.30% 7.31%
kled Kled
13.58 54.23% 3.22% 3.89% 3.09%
singed Singed
13.29 58.58% 1.56% 0.33% 1.55%
zyra Zyra
13.14 52.07% 6.34% 3.95% 6.09%
draven Draven
12.55 51.33% 9.45% 15.77% 7.96%
gnar Gnar
11.98 52.17% 5.53% 2.31% 5.40%
nocturne Nocturne
11.41 52.46% 4.63% 1.46% 4.56%
kindred Kindred
10.32 53.42% 3.02% 0.40% 3.01%
darius Darius
9.88 50.68% 14.53% 32.69% 9.78%
morgana Morgana
9.72 50.75% 12.95% 8.19% 11.89%
shaco Shaco
9.16 51.88% 4.88% 4.08% 4.68%
xerath Xerath
9.03 52.88% 3.13% 0.75% 3.11%
taliyah Taliyah
8.88 52.70% 3.29% 0.32% 3.28%
orianna Orianna
8.83 50.81% 10.95% 3.98% 10.51%
xinZhao Xin Zhao
8.36 50.76% 11.04% 6.56% 10.32%
kogMaw Kog'Maw
8.13 52.21% 3.67% 0.61% 3.65%
karthus Karthus
7.36 53.61% 2.04% 0.30% 2.03%
gragas Gragas
7.35 50.90% 8.15% 2.22% 7.97%
jayce Jayce
6.80 51.54% 4.43% 2.88% 4.30%
zilean Zilean
6.51 52.62% 2.49% 0.26% 2.48%
evelynn Evelynn
6.45 51.42% 4.54% 3.42% 4.38%
riven Riven
6.44 50.65% 9.83% 5.42% 9.30%
nunu Nunu
5.93 55.44% 1.09% 0.18% 1.09%
velkoz Velkoz
4.86 50.67% 7.22% 3.23% 6.99%
leblanc Leblanc
4.69 51.68% 2.79% 4.26% 2.67%
camille Camille
4.46 51.27% 3.50% 1.11% 3.46%
corki Corki
4.11 51.34% 3.08% 0.54% 3.06%
monkeyKing Wukong
3.71 50.70% 5.27% 3.66% 5.08%
taric Taric
3.30 50.45% 7.30% 1.10% 7.22%
rekSai Rek'Sai
2.95 51.45% 2.03% 0.24% 2.03%
drMundo Dr. Mundo
2.24 50.57% 3.94% 0.79% 3.91%
skarner Skarner
1.75 51.23% 1.42% 0.18% 1.42%
twistedFate Twisted Fate
1.25 50.23% 5.49% 0.24% 5.48%
swain Swain
1.22 50.29% 4.23% 1.06% 4.19%
kennen Kennen
-0.25 49.91% 2.90% 0.79% 2.88%
fiddlesticks Fiddlesticks
-1.58 49.43% 2.77% 0.30% 2.76%
ivern Ivern
-1.64 48.56% 1.14% 0.32% 1.14%
rumble Rumble
-2.03 49.07% 2.19% 0.49% 2.18%
sejuani Sejuani
-2.11 49.70% 6.92% 3.09% 6.71%
syndra Syndra
-2.37 49.63% 6.35% 3.97% 6.10%
cassiopeia Cassiopeia
-2.55 48.88% 2.27% 0.64% 2.26%
tahmKench Tahm Kench
-2.62 49.04% 2.74% 0.61% 2.72%
malphite Malphite
-2.90 49.57% 6.79% 2.28% 6.64%
fizz Fizz
-2.95 49.68% 9.07% 28.70% 6.47%
rakan Rakan
-2.98 49.65% 8.63% 2.05% 8.45%
urgot Urgot
-3.15 49.63% 8.58% 15.95% 7.21%
nidalee Nidalee
-3.66 48.19% 2.02% 0.11% 2.02%
gangplank Gangplank
-4.66 49.40% 7.73% 2.39% 7.55%
aurelionSol Aurelionsol
-4.71 45.85% 1.14% 0.64% 1.13%
kassadin Kassadin
-5.11 49.09% 5.64% 6.36% 5.28%
lissandra Lissandra
-5.96 47.28% 2.20% 0.25% 2.19%
vi Vi
-6.02 49.05% 6.32% 3.13% 6.12%
nasus Nasus
-6.65 49.48% 12.86% 15.77% 10.83%
mordekaiser Mordekaiser
-7.37 46.65% 2.20% 0.53% 2.19%
alistar Alistar
-7.46 48.60% 5.35% 1.09% 5.29%
kayle Kayle
-8.04 48.11% 4.24% 0.79% 4.21%
graves Graves
-8.48 46.92% 2.75% 0.67% 2.73%
rengar Rengar
-10.72 46.94% 3.51% 0.78% 3.48%
rammus Rammus
-11.00 47.91% 5.26% 2.03% 5.15%
lulu Lulu
-11.23 49.29% 15.77% 11.40% 13.97%
fiora Fiora
-12.29 48.44% 7.86% 12.85% 6.85%
kalista Kalista
-12.53 46.99% 4.16% 1.11% 4.11%
volibear Volibear
-13.05 45.51% 2.91% 1.32% 2.87%
viktor Viktor
-14.98 46.71% 4.55% 1.28% 4.49%
poppy Poppy
-15.99 46.43% 4.48% 0.33% 4.47%
blitzcrank Blitzcrank
-16.49 49.31% 23.90% 40.12% 14.31%
hecarim Hecarim
-16.58 47.30% 6.14% 8.46% 5.62%
yorick Yorick
-17.54 45.83% 4.21% 2.05% 4.12%
brand Brand
-18.45 48.74% 14.68% 17.69% 12.08%
udyr Udyr
-18.92 40.94% 2.08% 0.19% 2.08%
veigar Veigar
-19.38 48.71% 15.02% 12.21% 13.19%
ryze Ryze
-19.41 38.86% 1.74% 0.15% 1.74%
nautilus Nautilus
-21.14 45.97% 5.23% 0.26% 5.22%
leeSin Lee Sin
-21.47 48.25% 12.26% 6.88% 11.42%
talon Talon
-22.56 45.96% 5.59% 7.33% 5.18%
azir Azir
-23.27 38.46% 2.01% 1.22% 1.99%
irelia Irelia
-23.98 45.34% 5.15% 2.07% 5.04%
shen Shen
-24.88 46.62% 7.35% 1.10% 7.27%
galio Galio
-25.05 45.17% 5.19% 7.01% 4.83%
leona Leona
-26.05 47.64% 11.01% 6.46% 10.30%
karma Karma
-27.18 44.77% 5.19% 0.23% 5.18%
varus Varus
-28.79 46.63% 8.54% 1.10% 8.45%
zac Zac
-34.12 45.26% 7.20% 35.95% 4.61%
renekton Renekton
-34.42 46.01% 8.63% 4.35% 8.25%
khazix Khazix
-36.45 46.14% 9.44% 7.01% 8.78%
lucian Lucian
-40.56 47.08% 13.86% 2.27% 13.55%
illaoi Illaoi
-41.34 39.28% 3.85% 7.81% 3.55%
braum Braum
-43.75 44.83% 8.47% 4.56% 8.08%
ezreal Ezreal
-45.94 44.80% 8.84% 0.64% 8.78%
jhin Jhin
-62.23 47.21% 22.29% 6.23% 20.90%
zed Zed
-64.59 45.38% 13.97% 39.17% 8.50%
thresh Thresh
-100.63 43.86% 16.38% 8.05% 15.06%
caitlyn Caitlyn
-110.18 43.79% 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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