Personalised Bans

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TOP GOLD BANS

janna
#1 : JANNA
Influence: 242
Win Rate: 56.66%
Pick Rate: 36.32%
tristana
#2 : TRISTANA
Influence: 91
Win Rate: 52.31%
Pick Rate: 39.65%
sona
#3 : SONA
Influence: 74
Win Rate: 55.05%
Pick Rate: 14.64%
twitch
#4 : TWITCH
Influence: 74
Win Rate: 52.91%
Pick Rate: 25.35%

draven
#5 : DRAVEN
Influence: 61
Win Rate: 53.02%
Pick Rate: 20.31%
jarvanIV
#6 : JARVAN IV (2)
Influence: 55
Win Rate: 53.69%
Pick Rate: 14.92%
warwick
#7 : WARWICK (1)
Influence: 54
Win Rate: 53.79%
Pick Rate: 14.35%
soraka
#8 : SORAKA (1)
Influence: 52
Win Rate: 53.98%
Pick Rate: 12.99%

maokai
#9 : MAOKAI (2)
Influence: 42
Win Rate: 51.78%
Pick Rate: 23.85%
chogath
#10 : CHO'GATH (3)
Influence: 39
Win Rate: 51.56%
Pick Rate: 25.18%
jinx
#11 : JINX (2)
Influence: 38
Win Rate: 52.49%
Pick Rate: 15.41%
malzahar
#12 : MALZAHAR
Influence: 37
Win Rate: 53.12%
Pick Rate: 11.90%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
241.94 56.66% 36.32% 32.63% 24.47%
tristana Tristana
91.42 52.31% 39.65% 22.10% 30.89%
sona Sona
73.91 55.05% 14.64% 1.85% 14.37%
twitch Twitch
73.68 52.91% 25.35% 19.36% 20.44%
draven Draven
61.42 53.02% 20.31% 47.72% 10.62%
jarvanIV Jarvan IV
55.02 53.69% 14.92% 4.69% 14.22%
warwick Warwick
54.40 53.79% 14.35% 17.20% 11.88%
soraka Soraka
51.72 53.98% 12.99% 6.26% 12.18%
maokai Maokai
42.37 51.78% 23.85% 48.55% 12.27%
chogath Cho'Gath
39.35 51.56% 25.18% 67.19% 8.26%
jinx Jinx
38.37 52.49% 15.41% 0.98% 15.26%
malzahar Malzahar
37.15 53.12% 11.90% 14.63% 10.16%
jax Jax
29.18 52.03% 14.33% 7.77% 13.22%
sejuani Sejuani
27.59 52.84% 9.70% 10.71% 8.66%
rammus Rammus
24.62 53.44% 7.16% 5.84% 6.74%
blitzcrank Blitzcrank
24.20 51.10% 22.05% 39.31% 13.38%
sivir Sivir
24.09 52.55% 9.43% 0.69% 9.36%
shyvana Shyvana
22.42 53.80% 5.90% 0.92% 5.85%
anivia Anivia
19.91 53.75% 5.32% 2.94% 5.16%
fizz Fizz
19.49 51.96% 9.93% 23.49% 7.60%
missFortune Miss Fortune
19.31 51.81% 10.66% 1.86% 10.46%
annie Annie
19.11 52.26% 8.47% 6.21% 7.94%
ahri Ahri
19.00 51.38% 13.72% 6.59% 12.82%
diana Diana
18.68 53.25% 5.75% 2.10% 5.63%
vayne Vayne
18.50 50.80% 23.06% 8.44% 21.11%
riven Riven
18.19 51.29% 14.07% 7.91% 12.96%
tryndamere Tryndamere
17.56 52.15% 8.16% 8.73% 7.45%
teemo Teemo
17.14 52.19% 7.84% 5.36% 7.42%
amumu Amumu
17.04 53.23% 5.28% 1.33% 5.21%
ziggs Ziggs
16.64 52.78% 6.00% 0.52% 5.97%
lux Lux
16.58 51.27% 13.11% 2.00% 12.85%
sion Sion
14.74 52.74% 5.37% 0.35% 5.35%
garen Garen
13.41 51.66% 8.08% 3.41% 7.80%
xinZhao Xin Zhao
13.32 52.10% 6.35% 1.68% 6.24%
talon Talon
12.45 52.29% 5.44% 5.20% 5.16%
twistedFate Twisted Fate
12.24 51.41% 8.70% 0.66% 8.64%
nami Nami
12.22 51.17% 10.44% 0.37% 10.40%
singed Singed
11.29 53.33% 3.38% 1.30% 3.34%
pantheon Pantheon
10.56 51.60% 6.60% 8.63% 6.03%
xerath Xerath
10.48 53.16% 3.31% 0.44% 3.30%
darius Darius
10.02 50.75% 13.31% 33.59% 8.84%
kayle Kayle
9.31 52.06% 4.53% 1.50% 4.46%
alistar Alistar
9.17 51.32% 6.95% 1.44% 6.85%
khazix Khazix
9.17 51.12% 8.16% 4.16% 7.82%
nocturne Nocturne
9.09 52.99% 3.04% 0.30% 3.03%
taric Taric
8.59 51.45% 5.93% 0.84% 5.88%
katarina Katarina
8.50 51.38% 6.16% 6.99% 5.73%
monkeyKing Wukong
8.33 51.61% 5.18% 1.07% 5.12%
kled Kled
8.00 52.51% 3.19% 1.68% 3.14%
kogMaw Kog'Maw
7.88 51.50% 5.25% 0.88% 5.20%
nasus Nasus
7.53 50.53% 14.13% 29.04% 10.03%
yasuo Yasuo
7.49 50.30% 24.97% 44.42% 13.88%
swain Swain
7.42 51.90% 3.92% 0.94% 3.88%
kassadin Kassadin
6.97 50.99% 7.06% 10.61% 6.31%
masterYi Master Yi
6.88 50.50% 13.63% 21.51% 10.70%
velkoz Velkoz
6.78 51.34% 5.06% 0.49% 5.04%
gnar Gnar
6.14 50.86% 7.14% 2.06% 6.99%
illaoi Illaoi
5.73 52.10% 2.72% 3.36% 2.63%
brand Brand
5.13 50.47% 10.97% 6.94% 10.21%
drMundo Dr. Mundo
4.58 50.92% 4.96% 1.91% 4.87%
quinn Quinn
4.58 52.30% 1.99% 0.39% 1.98%
heimerdinger Heimerdinger
4.46 51.51% 2.95% 0.95% 2.92%
zilean Zilean
4.35 51.52% 2.86% 0.46% 2.85%
jayce Jayce
3.80 50.64% 5.93% 3.26% 5.74%
vi Vi
3.16 50.49% 6.39% 1.20% 6.31%
veigar Veigar
2.88 50.33% 8.66% 2.42% 8.45%
rakan Rakan
2.76 50.33% 8.35% 1.81% 8.20%
aurelionSol Aurelionsol
2.75 51.39% 1.98% 0.60% 1.97%
zyra Zyra
2.12 50.48% 4.41% 1.64% 4.34%
kennen Kennen
2.00 50.71% 2.82% 0.68% 2.80%
fiddlesticks Fiddlesticks
1.90 50.60% 3.17% 0.47% 3.16%
varus Varus
1.75 50.33% 5.33% 0.16% 5.32%
shaco Shaco
1.58 50.41% 3.80% 1.61% 3.74%
aatrox Aatrox
0.72 50.58% 1.25% 1.34% 1.23%
yorick Yorick
0.63 50.23% 2.76% 1.26% 2.73%
udyr Udyr
0.45 50.24% 1.89% 0.18% 1.89%
skarner Skarner
0.31 50.29% 1.07% 0.07% 1.07%
nunu Nunu
-0.11 49.96% 2.81% 0.59% 2.79%
kindred Kindred
-0.13 49.93% 1.91% 0.20% 1.91%
mordekaiser Mordekaiser
-0.34 49.84% 2.17% 0.41% 2.16%
leona Leona
-0.37 49.95% 7.82% 1.88% 7.67%
trundle Trundle
-0.52 49.87% 4.00% 0.38% 3.98%
evelynn Evelynn
-1.38 49.55% 3.09% 3.14% 2.99%
karthus Karthus
-1.51 49.20% 1.88% 0.19% 1.88%
lissandra Lissandra
-1.65 49.12% 1.87% 0.19% 1.87%
rumble Rumble
-1.75 49.54% 3.84% 0.41% 3.82%
fiora Fiora
-1.86 49.69% 6.06% 12.83% 5.28%
xayah Xayah
-2.06 49.79% 10.05% 4.05% 9.64%
irelia Irelia
-2.32 49.52% 4.81% 1.34% 4.75%
ivern Ivern
-2.68 47.99% 1.33% 0.71% 1.32%
volibear Volibear
-2.74 48.97% 2.67% 0.30% 2.66%
camille Camille
-2.87 49.12% 3.25% 2.17% 3.18%
renekton Renekton
-2.99 49.67% 9.15% 4.23% 8.76%
gangplank Gangplank
-3.39 49.51% 7.00% 1.31% 6.91%
ekko Ekko
-3.91 49.60% 9.79% 4.67% 9.33%
elise Elise
-4.21 49.10% 4.68% 1.91% 4.59%
shen Shen
-5.07 49.11% 5.70% 0.43% 5.68%
olaf Olaf
-5.28 48.01% 2.66% 0.45% 2.65%
bard Bard
-5.30 49.21% 6.66% 0.81% 6.61%
vladimir Vladimir
-6.14 49.08% 6.65% 4.42% 6.36%
rekSai Rek'Sai
-6.27 48.14% 3.38% 0.88% 3.35%
malphite Malphite
-6.78 48.75% 5.44% 1.22% 5.37%
graves Graves
-6.93 48.23% 3.91% 0.60% 3.89%
viktor Viktor
-6.94 48.35% 4.22% 0.36% 4.20%
poppy Poppy
-9.37 47.27% 3.43% 0.25% 3.42%
nautilus Nautilus
-9.52 47.81% 4.35% 0.43% 4.33%
jhin Jhin
-10.22 49.45% 18.41% 3.36% 17.79%
morgana Morgana
-10.57 49.03% 10.89% 4.60% 10.39%
rengar Rengar
-10.61 46.49% 3.02% 0.69% 3.00%
akali Akali
-10.84 48.28% 6.32% 10.43% 5.66%
hecarim Hecarim
-11.12 47.33% 4.16% 1.16% 4.11%
leblanc Leblanc
-11.26 46.67% 3.38% 4.50% 3.23%
ryze Ryze
-11.41 42.00% 1.42% 0.16% 1.42%
lulu Lulu
-11.76 49.17% 14.25% 7.45% 13.19%
ashe Ashe
-12.30 48.78% 10.10% 0.54% 10.05%
kalista Kalista
-13.39 47.39% 5.13% 0.63% 5.10%
karma Karma
-13.48 47.71% 5.89% 0.36% 5.87%
urgot Urgot
-14.36 47.62% 6.04% 12.10% 5.31%
nidalee Nidalee
-14.72 45.05% 2.98% 0.20% 2.97%
corki Corki
-14.99 46.91% 4.85% 0.83% 4.81%
tahmKench Tahm Kench
-15.29 44.35% 2.70% 0.89% 2.68%
braum Braum
-16.01 47.73% 7.07% 2.24% 6.91%
azir Azir
-16.11 42.89% 2.27% 0.45% 2.26%
zac Zac
-16.54 47.60% 6.89% 35.14% 4.47%
taliyah Taliyah
-17.28 46.35% 4.73% 0.79% 4.69%
zed Zed
-17.91 48.81% 15.08% 32.95% 10.11%
cassiopeia Cassiopeia
-18.06 44.72% 3.42% 1.16% 3.38%
galio Galio
-21.33 45.78% 5.06% 3.54% 4.88%
orianna Orianna
-21.82 48.13% 11.67% 4.85% 11.10%
gragas Gragas
-23.74 48.02% 11.98% 3.57% 11.55%
lucian Lucian
-24.46 48.44% 15.71% 1.76% 15.43%
syndra Syndra
-26.48 46.22% 7.00% 5.55% 6.61%
ezreal Ezreal
-32.48 44.70% 6.13% 0.63% 6.09%
leeSin Lee Sin
-54.54 46.45% 15.34% 7.94% 14.12%
caitlyn Caitlyn
-76.30 45.09% 15.52% 18.19% 12.70%
thresh Thresh
-82.53 46.67% 24.76% 11.67% 21.87%

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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