Personalised Bans

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TOP PLATINUM BANS

lucian
#1 : LUCIAN (1)
Influence: 136
Win Rate: 53.11%
Pick Rate: 43.82%
ahri
#2 : AHRI (1)
Influence: 114
Win Rate: 56.27%
Pick Rate: 18.24%
lulu
#3 : LULU
Influence: 82
Win Rate: 53.93%
Pick Rate: 20.93%
sona
#4 : SONA
Influence: 61
Win Rate: 57.12%
Pick Rate: 8.52%

graves
#5 : GRAVES (39)
Influence: 60
Win Rate: 51.86%
Pick Rate: 32.12%
jinx
#6 : JINX (6)
Influence: 57
Win Rate: 55.29%
Pick Rate: 10.68%
vi
#7 : VI (4)
Influence: 55
Win Rate: 57.77%
Pick Rate: 7.06%
twitch
#8 : TWITCH (2)
Influence: 50
Win Rate: 55.95%
Pick Rate: 8.35%

xinZhao
#9 : XIN ZHAO (9)
Influence: 42
Win Rate: 54.17%
Pick Rate: 10.05%
talon
#10 : TALON (2)
Influence: 41
Win Rate: 55.81%
Pick Rate: 7.04%
twistedFate
#11 : TWISTED FATE (5)
Influence: 39
Win Rate: 53.90%
Pick Rate: 10.08%
katarina
#12 : KATARINA (35)
Influence: 38
Win Rate: 53.22%
Pick Rate: 11.71%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
lucian Lucian
136.17 53.11% 43.82% 6.21% 41.10%
ahri Ahri
114.37 56.27% 18.24% 4.09% 17.49%
lulu Lulu
82.11 53.93% 20.93% 7.01% 19.46%
sona Sona
60.69 57.12% 8.52% 0.27% 8.50%
graves Graves
59.74 51.86% 32.12% 38.05% 19.90%
jinx Jinx
56.55 55.29% 10.68% 0.41% 10.64%
vi Vi
54.79 57.77% 7.06% 2.10% 6.91%
twitch Twitch
49.66 55.95% 8.35% 1.39% 8.23%
xinZhao Xin Zhao
41.88 54.17% 10.05% 1.98% 9.85%
talon Talon
40.94 55.81% 7.04% 10.56% 6.30%
twistedFate Twisted Fate
39.29 53.90% 10.08% 1.30% 9.95%
katarina Katarina
37.66 53.22% 11.71% 35.52% 7.55%
teemo Teemo
36.62 54.32% 8.46% 2.42% 8.26%
cassiopeia Cassiopeia
36.02 61.40% 3.16% 1.29% 3.12%
quinn Quinn
34.77 63.03% 2.67% 1.72% 2.62%
kogMaw Kog'Maw
33.80 55.30% 6.38% 1.85% 6.26%
illaoi Illaoi
33.55 60.58% 3.17% 2.86% 3.08%
ivern Ivern
29.70 58.65% 3.43% 2.74% 3.34%
chogath Cho'Gath
29.40 56.91% 4.26% 1.44% 4.20%
hecarim Hecarim
27.65 52.89% 9.56% 9.43% 8.66%
pantheon Pantheon
26.20 53.58% 7.33% 4.58% 6.99%
morgana Morgana
25.71 52.10% 12.24% 2.58% 11.92%
zac Zac
24.83 54.49% 5.53% 2.02% 5.42%
galio Galio
23.53 50.71% 33.25% 49.84% 16.68%
malzahar Malzahar
22.92 53.53% 6.48% 8.16% 5.95%
anivia Anivia
21.71 54.92% 4.42% 1.06% 4.37%
masterYi Master Yi
21.62 51.50% 14.39% 8.55% 13.16%
kindred Kindred
19.99 58.63% 2.32% 0.23% 2.31%
malphite Malphite
19.55 51.87% 10.42% 3.01% 10.11%
janna Janna
19.29 52.04% 9.44% 0.23% 9.42%
fiora Fiora
18.72 51.59% 11.78% 13.48% 10.19%
blitzcrank Blitzcrank
18.03 50.92% 19.54% 14.53% 16.70%
irelia Irelia
16.78 52.93% 5.72% 1.63% 5.63%
jayce Jayce
15.93 52.22% 7.18% 7.13% 6.67%
elise Elise
15.69 52.45% 6.42% 0.93% 6.36%
warwick Warwick
12.77 51.36% 9.40% 8.76% 8.58%
leona Leona
12.26 51.38% 8.85% 0.81% 8.78%
tryndamere Tryndamere
10.95 51.57% 6.98% 2.94% 6.77%
urgot Urgot
10.82 62.80% 0.84% 0.32% 0.84%
kassadin Kassadin
10.60 53.30% 3.22% 0.31% 3.21%
varus Varus
10.54 52.37% 4.45% 0.47% 4.43%
sivir Sivir
9.05 52.52% 3.60% 0.06% 3.60%
yorick Yorick
9.05 54.78% 1.90% 0.40% 1.89%
udyr Udyr
7.79 54.85% 1.60% 0.11% 1.60%
kalista Kalista
7.50 52.46% 3.05% 0.21% 3.04%
swain Swain
6.69 51.42% 4.72% 1.33% 4.66%
singed Singed
5.76 51.65% 3.49% 0.96% 3.46%
tahmKench Tahm Kench
5.64 52.04% 2.77% 0.24% 2.76%
kennen Kennen
5.57 51.89% 2.94% 0.66% 2.92%
shaco Shaco
5.50 50.52% 10.48% 12.52% 9.17%
diana Diana
5.46 51.55% 3.52% 0.88% 3.49%
maokai Maokai
5.30 51.69% 3.13% 0.67% 3.11%
rekSai Rek'Sai
5.19 53.87% 1.34% 0.06% 1.34%
monkeyKing Wukong
4.67 50.89% 5.23% 0.55% 5.20%
velkoz Velkoz
3.61 50.86% 4.19% 0.22% 4.18%
olaf Olaf
3.16 50.77% 4.11% 0.67% 4.08%
shen Shen
3.09 50.57% 5.40% 0.39% 5.38%
ryze Ryze
2.67 50.78% 3.42% 1.04% 3.38%
taliyah Taliyah
2.27 50.99% 2.29% 0.17% 2.29%
tristana Tristana
1.75 50.36% 4.90% 0.09% 4.90%
thresh Thresh
1.33 50.05% 26.59% 1.69% 26.14%
drMundo Dr. Mundo
0.43 50.21% 2.01% 0.63% 2.00%
nami Nami
0.11 50.01% 10.52% 0.12% 10.51%
ziggs Ziggs
-0.87 49.82% 4.71% 0.44% 4.69%
aurelionSol Aurelionsol
-0.94 48.86% 0.82% 0.52% 0.82%
nunu Nunu
-1.14 49.64% 3.17% 0.13% 3.17%
jarvanIV Jarvan IV
-1.31 49.76% 5.50% 0.28% 5.48%
zilean Zilean
-1.37 49.60% 3.41% 0.36% 3.40%
annie Annie
-1.42 49.84% 8.86% 3.75% 8.53%
karthus Karthus
-2.19 48.44% 1.41% 0.10% 1.41%
camille Camille
-2.33 49.62% 6.14% 36.29% 3.91%
xerath Xerath
-2.93 49.08% 3.19% 0.25% 3.18%
caitlyn Caitlyn
-3.42 49.86% 24.03% 4.88% 22.86%
heimerdinger Heimerdinger
-3.51 46.80% 1.10% 0.19% 1.10%
corki Corki
-3.67 47.52% 1.48% 0.25% 1.48%
orianna Orianna
-4.49 49.68% 14.15% 1.64% 13.92%
braum Braum
-4.71 49.36% 7.40% 1.05% 7.32%
gangplank Gangplank
-5.03 49.58% 12.04% 2.86% 11.70%
brand Brand
-6.16 49.42% 10.72% 3.64% 10.33%
rumble Rumble
-6.59 49.01% 6.64% 0.78% 6.59%
darius Darius
-7.89 49.50% 15.79% 31.71% 10.78%
taric Taric
-8.38 45.64% 1.92% 0.07% 1.92%
rammus Rammus
-8.79 46.13% 2.26% 0.21% 2.26%
karma Karma
-8.90 49.15% 10.47% 0.40% 10.43%
sion Sion
-8.91 47.54% 3.63% 0.14% 3.62%
kled Kled
-9.50 47.30% 3.52% 1.98% 3.45%
volibear Volibear
-10.49 45.11% 2.14% 0.14% 2.14%
khazix Khazix
-10.55 49.18% 12.91% 10.24% 11.59%
leblanc Leblanc
-10.76 46.08% 2.75% 8.42% 2.52%
amumu Amumu
-11.34 47.29% 4.19% 0.77% 4.16%
evelynn Evelynn
-11.98 48.32% 7.15% 13.51% 6.18%
soraka Soraka
-12.67 48.53% 8.64% 2.35% 8.44%
ashe Ashe
-13.65 49.00% 13.72% 0.42% 13.66%
fiddlesticks Fiddlesticks
-14.23 44.89% 2.78% 0.43% 2.77%
azir Azir
-14.74 38.49% 1.29% 0.44% 1.28%
lux Lux
-15.06 48.89% 13.57% 1.22% 13.40%
sejuani Sejuani
-15.26 42.74% 2.10% 0.06% 2.10%
kayle Kayle
-15.27 45.93% 3.75% 0.61% 3.73%
mordekaiser Mordekaiser
-15.47 38.05% 1.29% 0.22% 1.29%
missFortune Miss Fortune
-15.96 48.43% 10.15% 0.77% 10.07%
akali Akali
-17.01 45.76% 4.01% 1.51% 3.95%
veigar Veigar
-17.20 47.59% 7.15% 1.30% 7.06%
nasus Nasus
-17.41 47.22% 6.27% 1.55% 6.17%
gnar Gnar
-17.63 42.31% 2.29% 0.20% 2.29%
gragas Gragas
-18.14 47.61% 7.60% 0.67% 7.55%
aatrox Aatrox
-18.38 35.95% 1.31% 1.99% 1.28%
zyra Zyra
-20.40 46.97% 6.73% 2.78% 6.54%
poppy Poppy
-20.59 45.34% 4.41% 0.74% 4.38%
garen Garen
-20.69 46.27% 5.55% 1.36% 5.47%
yasuo Yasuo
-20.76 49.18% 25.41% 37.34% 15.92%
trundle Trundle
-21.43 40.58% 2.27% 0.12% 2.27%
shyvana Shyvana
-21.86 40.65% 2.34% 0.27% 2.33%
ekko Ekko
-22.95 47.42% 8.90% 2.91% 8.64%
skarner Skarner
-23.17 27.08% 1.01% 0.09% 1.01%
alistar Alistar
-23.24 45.40% 5.05% 0.96% 5.00%
nautilus Nautilus
-24.02 48.09% 12.55% 1.65% 12.34%
renekton Renekton
-24.44 47.75% 10.86% 2.69% 10.57%
rengar Rengar
-25.46 47.22% 9.15% 16.43% 7.65%
nocturne Nocturne
-27.07 41.91% 3.35% 0.45% 3.33%
riven Riven
-27.74 47.96% 13.60% 4.60% 12.97%
vayne Vayne
-28.75 48.65% 21.25% 11.30% 18.85%
viktor Viktor
-29.31 45.79% 6.96% 0.68% 6.91%
bard Bard
-30.96 40.16% 3.15% 0.30% 3.14%
syndra Syndra
-33.18 45.34% 7.12% 4.66% 6.79%
leeSin Lee Sin
-33.30 49.16% 39.64% 17.87% 32.56%
fizz Fizz
-35.38 47.30% 13.12% 14.01% 11.28%
lissandra Lissandra
-35.89 34.53% 2.32% 0.12% 2.32%
jax Jax
-36.15 45.96% 8.94% 1.91% 8.77%
draven Draven
-42.34 45.37% 9.15% 4.40% 8.75%
vladimir Vladimir
-43.09 45.16% 8.91% 5.61% 8.41%
nidalee Nidalee
-50.39 34.75% 3.31% 0.27% 3.30%
jhin Jhin
-54.89 46.26% 14.70% 2.72% 14.30%
zed Zed
-56.85 47.14% 19.88% 35.26% 12.87%
ezreal Ezreal
-97.53 47.10% 33.57% 1.95% 32.92%

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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