Personalised Bans

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TOP SILVER BANS

janna
#1 : JANNA
Influence: 115
Win Rate: 54.55%
Pick Rate: 25.22%
twitch
#2 : TWITCH (7)
Influence: 59
Win Rate: 52.88%
Pick Rate: 20.52%
draven
#3 : DRAVEN (4)
Influence: 53
Win Rate: 52.93%
Pick Rate: 18.11%
ahri
#4 : AHRI
Influence: 52
Win Rate: 53.10%
Pick Rate: 16.67%

jarvanIV
#5 : JARVAN IV
Influence: 51
Win Rate: 53.44%
Pick Rate: 14.69%
jinx
#6 : JINX (4)
Influence: 44
Win Rate: 52.19%
Pick Rate: 20.10%
malzahar
#7 : MALZAHAR (1)
Influence: 41
Win Rate: 54.13%
Pick Rate: 9.99%
yasuo
#8 : YASUO (5)
Influence: 41
Win Rate: 51.57%
Pick Rate: 26.07%

garen
#9 : GAREN (1)
Influence: 36
Win Rate: 53.55%
Pick Rate: 10.13%
missFortune
#10 : MISS FORTUNE (2)
Influence: 32
Win Rate: 52.59%
Pick Rate: 12.28%
vayne
#11 : VAYNE (10)
Influence: 31
Win Rate: 50.75%
Pick Rate: 41.45%
xinZhao
#12 : XIN ZHAO (3)
Influence: 31
Win Rate: 53.76%
Pick Rate: 8.18%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
114.60 54.55% 25.22% 11.73% 22.26%
twitch Twitch
59.05 52.88% 20.52% 14.57% 17.53%
draven Draven
53.02 52.93% 18.11% 40.19% 10.83%
ahri Ahri
51.73 53.10% 16.67% 8.56% 15.24%
jarvanIV Jarvan IV
50.50 53.44% 14.69% 5.97% 13.81%
jinx Jinx
44.03 52.19% 20.10% 2.46% 19.61%
malzahar Malzahar
41.22 54.13% 9.99% 13.74% 8.62%
yasuo Yasuo
40.99 51.57% 26.07% 49.22% 13.24%
garen Garen
35.97 53.55% 10.13% 5.82% 9.54%
missFortune Miss Fortune
31.85 52.59% 12.28% 2.28% 12.00%
vayne Vayne
31.10 50.75% 41.45% 43.72% 23.33%
xinZhao Xin Zhao
30.78 53.76% 8.18% 2.74% 7.96%
blitzcrank Blitzcrank
30.46 51.45% 20.93% 18.21% 17.12%
lux Lux
29.92 52.26% 13.24% 1.79% 13.00%
tristana Tristana
27.43 50.98% 28.06% 9.67% 25.35%
sion Sion
25.65 55.73% 4.48% 0.37% 4.46%
soraka Soraka
23.97 52.69% 8.92% 1.95% 8.75%
brand Brand
23.27 53.10% 7.51% 3.96% 7.21%
sona Sona
23.00 53.30% 6.97% 0.35% 6.95%
twistedFate Twisted Fate
22.95 52.70% 8.50% 0.55% 8.45%
rakan Rakan
22.64 52.28% 9.92% 3.06% 9.62%
masterYi Master Yi
19.68 51.47% 13.38% 19.16% 10.82%
taric Taric
19.47 53.20% 6.09% 0.52% 6.06%
riven Riven
17.63 51.28% 13.83% 8.09% 12.71%
shyvana Shyvana
15.86 53.20% 4.96% 0.79% 4.92%
chogath Cho'Gath
14.39 51.15% 12.56% 37.27% 7.88%
nami Nami
13.85 51.50% 9.23% 0.42% 9.19%
rammus Rammus
13.77 52.84% 4.84% 2.13% 4.74%
swain Swain
13.67 53.87% 3.54% 1.05% 3.50%
gnar Gnar
13.58 51.54% 8.83% 4.01% 8.48%
tryndamere Tryndamere
13.26 52.25% 5.88% 4.10% 5.64%
amumu Amumu
12.79 52.20% 5.81% 1.99% 5.69%
nasus Nasus
12.26 51.07% 11.52% 20.56% 9.15%
veigar Veigar
11.84 51.14% 10.40% 3.49% 10.04%
teemo Teemo
11.57 52.03% 5.70% 2.61% 5.55%
vi Vi
10.81 51.53% 7.05% 2.01% 6.91%
lissandra Lissandra
10.46 53.86% 2.71% 0.37% 2.70%
kayle Kayle
9.26 52.03% 4.56% 2.12% 4.46%
warwick Warwick
9.17 50.75% 12.26% 10.55% 10.97%
yorick Yorick
9.08 52.71% 3.35% 1.58% 3.30%
anivia Anivia
9.05 52.12% 4.28% 1.72% 4.21%
jax Jax
8.79 50.73% 12.08% 6.20% 11.33%
maokai Maokai
8.42 50.53% 15.89% 27.29% 11.55%
diana Diana
6.96 51.31% 5.32% 4.18% 5.10%
fiddlesticks Fiddlesticks
6.12 52.13% 2.87% 0.33% 2.86%
kogMaw Kog'Maw
5.85 52.37% 2.47% 0.27% 2.46%
annie Annie
4.69 50.74% 6.33% 2.80% 6.15%
irelia Irelia
4.58 51.05% 4.35% 1.95% 4.27%
corki Corki
4.56 51.65% 2.76% 0.52% 2.75%
ziggs Ziggs
3.71 50.71% 5.22% 0.59% 5.19%
heimerdinger Heimerdinger
3.58 52.05% 1.75% 0.54% 1.74%
zac Zac
3.39 50.31% 10.84% 46.41% 5.81%
shaco Shaco
3.25 50.84% 3.89% 1.25% 3.84%
karthus Karthus
3.12 52.50% 1.25% 0.19% 1.25%
zilean Zilean
3.08 51.21% 2.55% 0.39% 2.54%
kled Kled
3.04 50.68% 4.48% 5.35% 4.24%
ivern Ivern
3.02 52.99% 1.00% 0.27% 1.00%
trundle Trundle
2.88 50.66% 4.38% 0.53% 4.36%
monkeyKing Wukong
2.39 50.61% 3.91% 0.74% 3.88%
singed Singed
2.12 51.02% 2.07% 0.39% 2.06%
skarner Skarner
2.03 51.55% 1.31% 0.10% 1.31%
xerath Xerath
1.86 50.79% 2.34% 0.33% 2.33%
velkoz Velkoz
1.50 50.37% 4.05% 0.45% 4.03%
malphite Malphite
1.14 50.16% 7.00% 1.43% 6.90%
aurelionSol Aurelionsol
1.09 51.10% 0.99% 0.49% 0.99%
nocturne Nocturne
0.91 50.41% 2.21% 0.18% 2.21%
drMundo Dr. Mundo
0.81 50.26% 3.12% 1.21% 3.08%
sivir Sivir
0.79 50.11% 7.21% 0.46% 7.18%
gangplank Gangplank
0.60 50.08% 7.54% 2.36% 7.36%
ekko Ekko
0.58 50.05% 10.62% 5.69% 10.02%
quinn Quinn
-0.23 49.91% 2.75% 0.43% 2.74%
zyra Zyra
-0.91 49.73% 3.31% 1.02% 3.28%
mordekaiser Mordekaiser
-0.92 49.71% 3.20% 1.42% 3.15%
aatrox Aatrox
-1.43 48.85% 1.24% 0.61% 1.23%
viktor Viktor
-2.12 49.27% 2.90% 0.25% 2.89%
rumble Rumble
-2.39 49.46% 4.43% 0.80% 4.39%
evelynn Evelynn
-3.02 48.38% 1.86% 0.93% 1.84%
udyr Udyr
-3.12 47.27% 1.14% 0.11% 1.14%
fizz Fizz
-3.23 49.75% 12.69% 34.49% 8.31%
olaf Olaf
-3.32 49.11% 3.73% 0.65% 3.71%
kindred Kindred
-3.52 47.93% 1.69% 0.18% 1.69%
taliyah Taliyah
-3.86 48.92% 3.58% 0.63% 3.56%
leona Leona
-3.97 49.64% 11.12% 5.58% 10.50%
nunu Nunu
-5.10 45.58% 1.15% 0.11% 1.15%
tahmKench Tahm Kench
-5.71 48.03% 2.90% 0.67% 2.88%
lulu Lulu
-5.92 49.58% 14.01% 8.37% 12.84%
urgot Urgot
-6.41 48.95% 6.08% 18.06% 4.98%
kennen Kennen
-6.57 47.85% 3.05% 0.91% 3.02%
xayah Xayah
-6.91 49.41% 11.71% 12.57% 10.24%
volibear Volibear
-7.25 47.78% 3.28% 0.48% 3.26%
alistar Alistar
-7.38 49.20% 9.22% 1.72% 9.06%
leblanc Leblanc
-7.66 48.15% 4.15% 4.89% 3.95%
elise Elise
-9.02 48.46% 5.86% 2.28% 5.73%
shen Shen
-9.11 48.84% 7.82% 1.09% 7.73%
camille Camille
-9.18 47.40% 3.53% 3.46% 3.41%
pantheon Pantheon
-9.29 48.68% 7.05% 6.55% 6.59%
gragas Gragas
-9.43 49.21% 11.86% 3.11% 11.49%
galio Galio
-10.10 47.87% 4.75% 2.72% 4.62%
renekton Renekton
-10.35 49.07% 11.14% 7.24% 10.33%
ashe Ashe
-10.40 48.88% 9.25% 0.46% 9.21%
braum Braum
-11.17 49.14% 12.99% 6.41% 12.16%
khazix Khazix
-11.33 48.68% 8.55% 3.73% 8.23%
vladimir Vladimir
-11.48 48.31% 6.79% 5.24% 6.43%
talon Talon
-11.92 47.85% 5.54% 5.22% 5.25%
hecarim Hecarim
-12.33 46.91% 3.99% 0.96% 3.95%
sejuani Sejuani
-12.43 48.15% 6.71% 6.21% 6.29%
illaoi Illaoi
-12.46 46.26% 3.33% 8.88% 3.03%
rengar Rengar
-12.81 45.38% 2.78% 0.63% 2.76%
graves Graves
-13.97 45.78% 3.32% 0.18% 3.31%
akali Akali
-14.70 46.60% 4.32% 6.17% 4.05%
katarina Katarina
-15.04 47.41% 5.79% 7.85% 5.34%
kassadin Kassadin
-15.09 47.53% 6.11% 4.92% 5.81%
nautilus Nautilus
-15.17 47.30% 5.61% 0.74% 5.57%
cassiopeia Cassiopeia
-15.85 44.17% 2.72% 1.39% 2.68%
azir Azir
-15.90 43.08% 2.30% 0.48% 2.29%
poppy Poppy
-16.22 46.56% 4.71% 0.33% 4.69%
nidalee Nidalee
-16.53 42.22% 2.12% 0.10% 2.12%
morgana Morgana
-17.01 48.58% 12.00% 5.40% 11.35%
ryze Ryze
-17.38 38.71% 1.54% 0.12% 1.54%
varus Varus
-18.50 46.76% 5.70% 0.26% 5.69%
jayce Jayce
-19.18 47.34% 7.21% 3.82% 6.93%
kalista Kalista
-20.58 45.31% 4.39% 0.69% 4.36%
karma Karma
-20.78 45.95% 5.13% 0.17% 5.12%
rekSai Rek'Sai
-21.07 42.52% 2.82% 0.74% 2.80%
jhin Jhin
-22.35 48.71% 17.33% 3.16% 16.78%
bard Bard
-23.28 46.61% 6.86% 0.86% 6.80%
fiora Fiora
-34.67 45.40% 7.54% 18.94% 6.11%
orianna Orianna
-37.88 47.18% 13.44% 5.39% 12.72%
syndra Syndra
-37.95 45.42% 8.29% 10.02% 7.46%
ezreal Ezreal
-47.36 44.12% 8.05% 0.68% 8.00%
darius Darius
-48.55 47.06% 16.51% 57.31% 7.05%
zed Zed
-66.43 46.91% 21.48% 47.94% 11.18%
caitlyn Caitlyn
-77.65 44.61% 14.40% 16.61% 12.01%
lucian Lucian
-83.49 46.20% 21.98% 3.97% 21.11%
thresh Thresh
-98.91 47.02% 33.16% 14.47% 28.36%
leeSin Lee Sin
-135.77 46.05% 34.35% 23.60% 26.24%

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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