Personalised Bans

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TOP GOLD BANS

warwick
#1 : WARWICK
Influence: 108
Win Rate: 54.80%
Pick Rate: 22.60%
nami
#2 : NAMI
Influence: 96
Win Rate: 54.46%
Pick Rate: 21.45%
tristana
#3 : TRISTANA
Influence: 95
Win Rate: 53.08%
Pick Rate: 30.77%
janna
#4 : JANNA (3)
Influence: 83
Win Rate: 54.28%
Pick Rate: 19.27%

katarina
#5 : KATARINA
Influence: 82
Win Rate: 54.93%
Pick Rate: 16.63%
twitch
#6 : TWITCH (4)
Influence: 79
Win Rate: 54.73%
Pick Rate: 16.65%
sion
#7 : SION (3)
Influence: 74
Win Rate: 57.86%
Pick Rate: 9.36%
yasuo
#8 : YASUO (5)
Influence: 62
Win Rate: 52.11%
Pick Rate: 29.42%

lulu
#9 : LULU (3)
Influence: 58
Win Rate: 52.57%
Pick Rate: 22.46%
missFortune
#10 : MISS FORTUNE (1)
Influence: 52
Win Rate: 53.17%
Pick Rate: 16.55%
kayn
#11 : KAYN (5)
Influence: 52
Win Rate: 52.87%
Pick Rate: 18.17%
shyvana
#12 : SHYVANA (4)
Influence: 51
Win Rate: 53.74%
Pick Rate: 13.52%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
warwick Warwick
108.43 54.80% 22.60% 33.67% 14.99%
nami Nami
95.57 54.46% 21.45% 3.36% 20.73%
tristana Tristana
94.70 53.08% 30.77% 14.43% 26.33%
janna Janna
82.51 54.28% 19.27% 5.11% 18.29%
katarina Katarina
81.93 54.93% 16.63% 46.72% 8.86%
twitch Twitch
78.83 54.73% 16.65% 16.00% 13.99%
sion Sion
73.54 57.86% 9.36% 1.62% 9.21%
yasuo Yasuo
62.08 52.11% 29.42% 47.11% 15.56%
lulu Lulu
57.74 52.57% 22.46% 18.98% 18.20%
missFortune Miss Fortune
52.46 53.17% 16.55% 7.54% 15.30%
kayn Kayn
52.17 52.87% 18.17% 22.31% 14.12%
shyvana Shyvana
50.54 53.74% 13.52% 19.23% 10.92%
brand Brand
49.08 53.17% 15.47% 15.46% 13.08%
velkoz Velkoz
44.32 56.10% 7.26% 2.20% 7.10%
gangplank Gangplank
37.70 52.64% 14.30% 13.27% 12.40%
jinx Jinx
36.94 51.91% 19.32% 3.14% 18.71%
lux Lux
36.16 51.68% 21.56% 5.49% 20.38%
rammus Rammus
34.44 56.33% 5.44% 4.65% 5.19%
masterYi Master Yi
31.55 52.09% 15.11% 20.14% 12.07%
jax Jax
30.31 51.70% 17.80% 14.00% 15.31%
ashe Ashe
29.96 53.73% 8.03% 0.18% 8.02%
veigar Veigar
28.51 52.08% 13.68% 14.16% 11.74%
yorick Yorick
28.50 57.19% 3.96% 2.82% 3.85%
urgot Urgot
26.24 53.00% 8.75% 8.96% 7.97%
taric Taric
22.95 52.25% 10.19% 4.68% 9.71%
skarner Skarner
21.87 56.15% 3.56% 1.31% 3.51%
vayne Vayne
20.94 50.70% 29.81% 43.07% 16.97%
riven Riven
20.88 52.18% 9.57% 4.41% 9.15%
xinZhao Xin Zhao
20.57 52.05% 10.01% 5.54% 9.46%
zyra Zyra
19.92 52.63% 7.57% 4.57% 7.22%
pantheon Pantheon
19.30 52.83% 6.82% 10.43% 6.11%
ahri Ahri
18.57 52.18% 8.52% 2.21% 8.33%
udyr Udyr
16.50 52.77% 5.95% 2.43% 5.81%
nasus Nasus
15.96 51.10% 14.47% 13.73% 12.48%
garen Garen
15.33 51.66% 9.22% 4.93% 8.77%
akali Akali
13.61 52.42% 5.61% 7.89% 5.17%
shen Shen
13.28 51.46% 9.11% 1.52% 8.97%
braum Braum
12.57 51.19% 10.54% 5.08% 10.00%
soraka Soraka
11.62 51.26% 9.24% 3.93% 8.88%
illaoi Illaoi
11.32 51.69% 6.69% 15.67% 5.64%
tryndamere Tryndamere
11.18 51.81% 6.16% 3.17% 5.96%
fiora Fiora
11.00 51.58% 6.96% 5.67% 6.57%
ziggs Ziggs
11.00 51.92% 5.72% 0.58% 5.69%
vi Vi
10.09 51.42% 7.09% 2.82% 6.89%
trundle Trundle
8.33 52.55% 3.27% 0.33% 3.26%
zac Zac
7.95 51.65% 4.80% 3.00% 4.66%
morgana Morgana
7.88 50.66% 11.95% 9.76% 10.78%
annie Annie
7.75 51.52% 5.10% 0.62% 5.07%
fizz Fizz
7.38 50.85% 8.70% 16.81% 7.24%
camille Camille
7.33 51.11% 6.59% 4.52% 6.29%
hecarim Hecarim
7.15 51.54% 4.64% 6.12% 4.36%
xerath Xerath
7.15 51.10% 6.53% 3.03% 6.33%
diana Diana
5.80 50.95% 6.11% 1.97% 5.99%
sivir Sivir
5.49 51.31% 4.20% 0.18% 4.19%
drMundo Dr. Mundo
5.08 52.01% 2.53% 0.45% 2.52%
singed Singed
5.06 52.39% 2.12% 0.46% 2.11%
bard Bard
4.58 51.11% 4.10% 1.03% 4.06%
sona Sona
4.49 50.63% 7.18% 0.73% 7.13%
caitlyn Caitlyn
4.47 50.25% 17.69% 3.36% 17.10%
kled Kled
4.47 51.34% 3.32% 2.25% 3.25%
kindred Kindred
4.08 51.21% 3.38% 0.62% 3.36%
ekko Ekko
3.50 50.41% 8.49% 2.46% 8.28%
syndra Syndra
3.45 51.06% 3.27% 0.68% 3.25%
volibear Volibear
3.40 52.16% 1.58% 0.72% 1.57%
gnar Gnar
3.29 50.56% 5.83% 3.88% 5.60%
zilean Zilean
3.23 51.13% 2.84% 0.45% 2.83%
monkeyKing Wukong
3.04 50.66% 4.65% 3.06% 4.51%
kennen Kennen
2.88 51.41% 2.04% 0.37% 2.03%
sejuani Sejuani
2.77 50.33% 8.39% 4.65% 8.00%
blitzcrank Blitzcrank
2.51 50.21% 12.08% 32.39% 8.17%
shaco Shaco
2.37 50.34% 7.02% 6.42% 6.57%
aatrox Aatrox
2.26 50.60% 3.79% 0.94% 3.75%
fiddlesticks Fiddlesticks
2.22 50.74% 2.98% 0.40% 2.97%
olaf Olaf
1.35 50.59% 2.31% 0.23% 2.30%
malphite Malphite
0.86 50.11% 8.03% 2.59% 7.82%
draven Draven
0.46 50.06% 7.98% 8.36% 7.31%
quinn Quinn
0.17 50.08% 2.03% 0.26% 2.02%
taliyah Taliyah
-0.11 49.96% 2.55% 0.19% 2.55%
lissandra Lissandra
-0.12 49.94% 1.92% 0.22% 1.92%
elise Elise
-0.20 49.87% 1.55% 0.25% 1.55%
chogath Cho'Gath
-0.75 49.81% 4.02% 1.29% 3.97%
galio Galio
-1.08 49.82% 6.06% 1.80% 5.95%
amumu Amumu
-1.56 49.59% 3.78% 1.05% 3.74%
talon Talon
-1.81 49.46% 3.37% 1.41% 3.32%
alistar Alistar
-1.82 49.80% 9.21% 6.36% 8.62%
viktor Viktor
-1.87 49.54% 4.09% 0.74% 4.06%
evelynn Evelynn
-1.99 49.64% 5.46% 11.67% 4.82%
nautilus Nautilus
-2.29 49.48% 4.42% 0.39% 4.40%
jarvanIV Jarvan IV
-2.48 49.75% 9.81% 6.45% 9.18%
aurelionSol Aurelionsol
-2.60 48.41% 1.64% 0.63% 1.63%
nunu Nunu
-2.64 48.94% 2.49% 0.59% 2.48%
renekton Renekton
-2.89 49.29% 4.04% 1.32% 3.99%
anivia Anivia
-3.06 49.27% 4.19% 1.95% 4.11%
thresh Thresh
-3.64 49.66% 10.53% 2.23% 10.30%
heimerdinger Heimerdinger
-4.03 48.30% 2.37% 0.81% 2.35%
irelia Irelia
-4.07 48.95% 3.89% 1.51% 3.83%
kalista Kalista
-4.31 48.85% 3.75% 1.37% 3.70%
nocturne Nocturne
-4.93 48.60% 3.52% 0.54% 3.50%
mordekaiser Mordekaiser
-5.83 46.84% 1.84% 0.20% 1.84%
teemo Teemo
-6.53 49.14% 7.59% 7.41% 7.03%
malzahar Malzahar
-6.86 49.13% 7.84% 14.03% 6.74%
maokai Maokai
-7.09 49.04% 7.35% 1.74% 7.22%
khazix Khazix
-7.34 49.35% 11.34% 15.95% 9.53%
twistedFate Twisted Fate
-7.54 48.23% 4.27% 0.25% 4.26%
kogMaw Kog'Maw
-8.75 47.86% 4.10% 2.98% 3.98%
kayle Kayle
-10.10 46.39% 2.80% 0.50% 2.79%
leeSin Lee Sin
-10.16 48.94% 9.53% 4.45% 9.11%
tahmKench Tahm Kench
-10.61 48.42% 6.70% 3.76% 6.45%
poppy Poppy
-10.62 46.92% 3.45% 0.33% 3.44%
gragas Gragas
-10.73 45.00% 2.15% 0.29% 2.14%
karthus Karthus
-11.50 41.77% 1.40% 0.10% 1.40%
rumble Rumble
-11.93 42.25% 1.54% 0.10% 1.54%
corki Corki
-12.93 46.37% 3.56% 0.25% 3.55%
rekSai Rek'Sai
-12.96 39.65% 1.25% 0.16% 1.25%
lucian Lucian
-13.13 48.76% 10.57% 1.25% 10.44%
darius Darius
-13.45 48.41% 8.47% 16.18% 7.10%
xayah Xayah
-13.78 49.11% 15.53% 6.86% 14.46%
rakan Rakan
-15.29 47.26% 5.58% 0.66% 5.54%
orianna Orianna
-16.04 47.62% 6.74% 0.86% 6.68%
leblanc Leblanc
-16.85 44.53% 3.08% 1.65% 3.03%
rengar Rengar
-17.30 45.92% 4.24% 1.35% 4.18%
nidalee Nidalee
-18.06 44.52% 3.29% 0.75% 3.27%
cassiopeia Cassiopeia
-20.11 38.76% 1.79% 0.37% 1.78%
ivern Ivern
-20.42 39.47% 1.94% 0.25% 1.94%
kassadin Kassadin
-21.09 44.29% 3.70% 2.22% 3.62%
graves Graves
-22.16 41.94% 2.76% 0.22% 2.75%
ornn Ornn
-27.59 44.48% 5.00% 4.77% 4.76%
jhin Jhin
-27.83 47.83% 12.84% 2.18% 12.56%
zed Zed
-28.28 48.39% 17.59% 44.00% 9.85%
karma Karma
-29.42 44.48% 5.33% 0.27% 5.32%
varus Varus
-30.09 48.48% 19.76% 8.91% 18.00%
ryze Ryze
-31.00 39.12% 2.84% 0.45% 2.83%
leona Leona
-31.03 48.10% 16.30% 25.38% 12.16%
jayce Jayce
-33.37 41.01% 3.71% 2.60% 3.61%
ezreal Ezreal
-34.63 47.91% 16.59% 4.70% 15.81%
azir Azir
-39.93 42.05% 5.02% 5.45% 4.75%
swain Swain
-48.68 45.97% 12.08% 16.80% 10.05%
vladimir Vladimir
-55.58 44.57% 10.23% 19.27% 8.26%

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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