Personalised Bans

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TOP GOLD BANS

tristana
#1 : TRISTANA (2)
Influence: 117
Win Rate: 53.28%
Pick Rate: 35.58%
warwick
#2 : WARWICK (1)
Influence: 103
Win Rate: 53.94%
Pick Rate: 26.13%
nasus
#3 : NASUS (1)
Influence: 100
Win Rate: 54.30%
Pick Rate: 23.26%
vayne
#4 : VAYNE (1)
Influence: 93
Win Rate: 52.20%
Pick Rate: 42.38%

nami
#5 : NAMI (1)
Influence: 69
Win Rate: 54.96%
Pick Rate: 13.88%
jinx
#6 : JINX (2)
Influence: 67
Win Rate: 53.11%
Pick Rate: 21.65%
janna
#7 : JANNA
Influence: 49
Win Rate: 52.93%
Pick Rate: 16.66%
taric
#8 : TARIC (3)
Influence: 48
Win Rate: 54.58%
Pick Rate: 10.50%

jax
#9 : JAX (9)
Influence: 47
Win Rate: 52.58%
Pick Rate: 18.37%
shyvana
#10 : SHYVANA (2)
Influence: 47
Win Rate: 54.92%
Pick Rate: 9.54%
veigar
#11 : VEIGAR (3)
Influence: 44
Win Rate: 53.93%
Pick Rate: 11.15%
ahri
#12 : AHRI (5)
Influence: 42
Win Rate: 55.12%
Pick Rate: 8.24%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
tristana Tristana
116.51 53.28% 35.58% 19.70% 28.57%
warwick Warwick
102.90 53.94% 26.13% 32.23% 17.71%
nasus Nasus
100.07 54.30% 23.26% 41.62% 13.58%
vayne Vayne
93.13 52.20% 42.38% 48.21% 21.95%
nami Nami
68.92 54.96% 13.88% 1.95% 13.61%
jinx Jinx
67.35 53.11% 21.65% 5.42% 20.48%
janna Janna
48.80 52.93% 16.66% 6.10% 15.64%
taric Taric
48.10 54.58% 10.50% 4.36% 10.04%
jax Jax
47.45 52.58% 18.37% 8.49% 16.81%
shyvana Shyvana
46.91 54.92% 9.54% 9.76% 8.61%
veigar Veigar
43.87 53.93% 11.15% 5.55% 10.53%
ahri Ahri
42.17 55.12% 8.24% 2.06% 8.07%
sion Sion
41.76 55.24% 7.97% 1.72% 7.83%
lulu Lulu
41.06 52.01% 20.47% 19.60% 16.46%
missFortune Miss Fortune
39.67 53.23% 12.26% 3.43% 11.84%
leona Leona
36.47 52.28% 16.01% 20.23% 12.77%
garen Garen
33.62 53.35% 10.02% 5.37% 9.48%
fizz Fizz
30.43 52.21% 13.75% 23.50% 10.52%
brand Brand
29.32 53.38% 8.66% 5.27% 8.20%
malphite Malphite
28.82 53.27% 8.80% 2.75% 8.56%
udyr Udyr
27.71 55.36% 5.16% 1.64% 5.08%
yasuo Yasuo
27.28 51.06% 25.68% 38.27% 15.85%
illaoi Illaoi
26.26 53.99% 6.57% 17.55% 5.42%
xinZhao Xin Zhao
25.62 54.06% 6.31% 2.31% 6.16%
braum Braum
24.74 51.48% 16.72% 10.75% 14.92%
lux Lux
23.93 51.62% 14.77% 1.83% 14.50%
malzahar Malzahar
18.36 52.64% 6.96% 16.51% 5.81%
alistar Alistar
17.61 51.35% 13.05% 8.02% 12.00%
masterYi Master Yi
17.61 51.53% 11.53% 10.93% 10.27%
yorick Yorick
17.49 54.77% 3.66% 2.53% 3.57%
urgot Urgot
17.43 52.47% 7.07% 5.45% 6.68%
twitch Twitch
16.63 51.07% 15.47% 10.74% 13.81%
katarina Katarina
16.51 51.58% 10.42% 21.99% 8.13%
jarvanIV Jarvan IV
16.26 51.28% 12.73% 7.77% 11.74%
amumu Amumu
16.18 54.21% 3.84% 0.64% 3.82%
skarner Skarner
15.24 53.00% 5.08% 3.79% 4.89%
sona Sona
14.87 53.30% 4.51% 0.42% 4.49%
anivia Anivia
14.84 53.36% 4.41% 1.86% 4.33%
varus Varus
13.70 50.95% 14.42% 5.82% 13.58%
shaco Shaco
13.28 52.53% 5.24% 2.48% 5.11%
chogath Cho'Gath
12.69 51.76% 7.19% 8.89% 6.55%
annie Annie
12.54 52.52% 4.98% 1.94% 4.88%
velkoz Velkoz
12.27 52.86% 4.30% 0.48% 4.28%
gangplank Gangplank
12.11 50.91% 13.34% 11.57% 11.80%
aatrox Aatrox
11.34 54.61% 2.45% 1.33% 2.42%
monkeyKing Wukong
10.20 53.05% 3.35% 0.57% 3.33%
xayah Xayah
9.71 50.57% 17.11% 12.17% 15.03%
zyra Zyra
9.45 52.51% 3.77% 1.08% 3.73%
ziggs Ziggs
8.53 52.59% 3.29% 0.27% 3.28%
orianna Orianna
8.32 50.99% 8.37% 1.58% 8.24%
singed Singed
8.28 53.94% 2.10% 0.66% 2.09%
darius Darius
7.08 50.64% 11.06% 32.92% 7.42%
xerath Xerath
6.63 51.10% 6.01% 2.02% 5.89%
nunu Nunu
6.04 51.84% 3.28% 1.85% 3.22%
fiddlesticks Fiddlesticks
5.92 52.19% 2.71% 0.42% 2.70%
sejuani Sejuani
5.84 50.54% 10.78% 10.36% 9.66%
ekko Ekko
5.81 50.67% 8.67% 3.23% 8.39%
morgana Morgana
5.57 50.43% 13.03% 7.96% 11.99%
kled Kled
5.36 52.24% 2.39% 1.51% 2.35%
zilean Zilean
5.17 51.77% 2.91% 0.33% 2.90%
kindred Kindred
4.71 52.83% 1.66% 0.21% 1.66%
hecarim Hecarim
4.67 51.76% 2.64% 0.79% 2.62%
teemo Teemo
4.65 50.81% 5.74% 4.07% 5.51%
vi Vi
4.61 50.68% 6.73% 1.68% 6.62%
kayle Kayle
4.47 51.87% 2.39% 0.29% 2.38%
galio Galio
4.40 50.61% 7.25% 1.76% 7.12%
kayn Kayn
4.34 50.32% 13.68% 13.90% 11.78%
pantheon Pantheon
4.18 50.96% 4.35% 2.96% 4.22%
blitzcrank Blitzcrank
3.84 50.28% 13.61% 18.36% 11.11%
rumble Rumble
3.41 51.45% 2.34% 0.21% 2.34%
sivir Sivir
3.32 50.91% 3.64% 0.21% 3.63%
renekton Renekton
3.22 50.80% 4.06% 1.42% 4.00%
drMundo Dr. Mundo
3.08 51.55% 1.99% 0.67% 1.98%
lissandra Lissandra
2.94 51.32% 2.23% 0.48% 2.22%
nautilus Nautilus
2.91 50.66% 4.39% 0.61% 4.36%
jayce Jayce
2.71 50.64% 4.25% 3.25% 4.11%
diana Diana
2.42 50.51% 4.75% 3.52% 4.58%
mordekaiser Mordekaiser
2.07 51.04% 2.00% 0.59% 1.99%
draven Draven
1.88 50.17% 11.21% 16.75% 9.33%
nocturne Nocturne
1.86 51.00% 1.86% 0.23% 1.86%
rekSai Rek'Sai
1.57 50.79% 1.99% 0.38% 1.98%
taliyah Taliyah
1.35 50.44% 3.08% 0.49% 3.06%
quinn Quinn
1.12 50.79% 1.42% 0.21% 1.42%
camille Camille
0.20 50.02% 11.37% 15.40% 9.62%
talon Talon
-0.70 49.79% 3.30% 1.42% 3.25%
ivern Ivern
-1.36 48.43% 0.87% 0.11% 0.87%
leeSin Lee Sin
-1.54 49.94% 24.63% 16.61% 20.54%
karthus Karthus
-1.75 47.85% 0.81% 0.15% 0.81%
heimerdinger Heimerdinger
-2.11 48.57% 1.48% 0.54% 1.47%
akali Akali
-2.69 49.42% 4.63% 4.39% 4.43%
corki Corki
-2.72 49.01% 2.74% 0.37% 2.73%
graves Graves
-2.87 48.79% 2.38% 0.14% 2.38%
rammus Rammus
-3.30 49.24% 4.34% 3.89% 4.17%
evelynn Evelynn
-3.99 48.78% 3.28% 8.01% 3.02%
kogMaw Kog'Maw
-4.01 48.84% 3.44% 3.20% 3.33%
aurelionSol Aurelionsol
-4.09 46.49% 1.17% 0.63% 1.16%
twistedFate Twisted Fate
-4.18 49.30% 5.93% 0.37% 5.91%
kennen Kennen
-4.19 47.99% 2.08% 0.41% 2.07%
poppy Poppy
-4.34 48.63% 3.18% 0.17% 3.17%
trundle Trundle
-4.70 48.55% 3.24% 0.43% 3.23%
ashe Ashe
-4.73 49.17% 5.69% 0.51% 5.66%
zed Zed
-4.80 49.79% 22.83% 48.36% 11.79%
bard Bard
-4.95 49.08% 5.36% 0.62% 5.33%
cassiopeia Cassiopeia
-5.04 46.80% 1.58% 0.38% 1.57%
olaf Olaf
-5.04 47.44% 1.97% 0.32% 1.96%
volibear Volibear
-5.06 47.61% 2.12% 0.35% 2.11%
maokai Maokai
-6.21 48.91% 5.67% 2.28% 5.54%
tahmKench Tahm Kench
-6.45 48.94% 6.09% 3.77% 5.86%
soraka Soraka
-6.66 48.92% 6.19% 2.00% 6.07%
caitlyn Caitlyn
-7.17 49.56% 16.40% 4.98% 15.58%
zac Zac
-7.51 49.14% 8.68% 9.11% 7.89%
viktor Viktor
-7.56 47.81% 3.46% 0.33% 3.45%
rengar Rengar
-7.69 48.34% 4.63% 1.99% 4.54%
karma Karma
-7.72 48.59% 5.46% 0.37% 5.44%
ornn Ornn
-8.03 48.19% 4.43% 5.44% 4.19%
irelia Irelia
-8.52 47.89% 4.05% 1.41% 3.99%
swain Swain
-8.80 49.20% 11.04% 25.25% 8.25%
gnar Gnar
-8.87 49.20% 11.12% 7.40% 10.30%
rakan Rakan
-8.89 48.97% 8.61% 1.76% 8.46%
elise Elise
-8.92 46.57% 2.60% 0.47% 2.59%
shen Shen
-9.11 49.04% 9.51% 1.79% 9.34%
kassadin Kassadin
-9.59 47.35% 3.61% 1.22% 3.57%
khazix Khazix
-10.40 49.20% 13.05% 17.21% 10.80%
fiora Fiora
-11.06 48.30% 6.50% 8.29% 5.96%
kalista Kalista
-11.45 46.68% 3.44% 0.72% 3.42%
tryndamere Tryndamere
-11.74 47.38% 4.49% 1.55% 4.42%
syndra Syndra
-12.08 46.77% 3.74% 1.35% 3.69%
gragas Gragas
-13.94 45.90% 3.40% 0.26% 3.39%
vladimir Vladimir
-15.21 48.39% 9.48% 15.18% 8.04%
leblanc Leblanc
-15.22 46.42% 4.25% 2.67% 4.14%
azir Azir
-17.68 47.31% 6.58% 4.95% 6.25%
nidalee Nidalee
-17.71 42.74% 2.44% 0.27% 2.43%
jhin Jhin
-18.81 47.59% 7.81% 1.17% 7.72%
riven Riven
-19.54 48.43% 12.43% 6.58% 11.61%
ezreal Ezreal
-24.23 48.40% 15.16% 3.98% 14.56%
ryze Ryze
-33.12 42.21% 4.25% 0.74% 4.22%
thresh Thresh
-34.95 48.29% 20.47% 6.64% 19.11%
lucian Lucian
-40.33 47.36% 15.26% 2.38% 14.90%

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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