Personalised Bans

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TOP SILVER BANS

janna
#1 : JANNA
Influence: 173
Win Rate: 54.80%
Pick Rate: 36.08%
sona
#2 : SONA
Influence: 107
Win Rate: 57.48%
Pick Rate: 14.27%
soraka
#3 : SORAKA
Influence: 76
Win Rate: 53.27%
Pick Rate: 23.15%
twitch
#4 : TWITCH
Influence: 59
Win Rate: 51.74%
Pick Rate: 34.22%

tristana
#5 : TRISTANA (1)
Influence: 55
Win Rate: 51.63%
Pick Rate: 33.54%
jarvanIV
#6 : JARVAN IV (1)
Influence: 41
Win Rate: 52.23%
Pick Rate: 18.57%
vayne
#7 : VAYNE (6)
Influence: 40
Win Rate: 51.36%
Pick Rate: 29.64%
warwick
#8 : WARWICK (4)
Influence: 40
Win Rate: 53.48%
Pick Rate: 11.56%

fiora
#9 : FIORA (5)
Influence: 39
Win Rate: 52.96%
Pick Rate: 13.08%
fizz
#10 : FIZZ (12)
Influence: 32
Win Rate: 52.94%
Pick Rate: 10.80%
kogMaw
#11 : KOG'MAW (7)
Influence: 31
Win Rate: 52.21%
Pick Rate: 14.23%
taric
#12 : TARIC (3)
Influence: 31
Win Rate: 56.50%
Pick Rate: 4.77%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
173.04 54.80% 36.08% 46.31% 19.37%
sona Sona
106.65 57.48% 14.27% 1.91% 14.00%
soraka Soraka
75.58 53.27% 23.15% 22.36% 17.97%
twitch Twitch
59.36 51.74% 34.22% 42.73% 19.60%
tristana Tristana
54.66 51.63% 33.54% 20.64% 26.62%
jarvanIV Jarvan IV
41.46 52.23% 18.57% 10.78% 16.57%
vayne Vayne
40.24 51.36% 29.64% 17.88% 24.34%
warwick Warwick
40.19 53.48% 11.56% 9.48% 10.46%
fiora Fiora
38.69 52.96% 13.08% 21.23% 10.30%
fizz Fizz
31.70 52.94% 10.80% 22.41% 8.38%
kogMaw Kog'Maw
31.40 52.21% 14.23% 16.91% 11.82%
taric Taric
31.03 56.50% 4.77% 0.42% 4.75%
renekton Renekton
28.90 53.27% 8.84% 5.25% 8.38%
jax Jax
28.58 51.42% 20.20% 16.64% 16.84%
nami Nami
28.19 52.82% 10.02% 0.58% 9.96%
rammus Rammus
26.69 52.70% 9.90% 10.74% 8.84%
brand Brand
26.59 53.56% 7.47% 5.13% 7.09%
teemo Teemo
26.27 53.22% 8.17% 6.23% 7.66%
sejuani Sejuani
26.20 52.21% 11.85% 16.40% 9.91%
anivia Anivia
23.03 54.86% 4.74% 2.96% 4.60%
malzahar Malzahar
21.16 52.68% 7.89% 10.28% 7.08%
nasus Nasus
20.17 51.82% 11.11% 11.76% 9.80%
zyra Zyra
19.87 55.56% 3.57% 0.91% 3.54%
twistedFate Twisted Fate
17.04 51.58% 10.77% 1.90% 10.57%
xinZhao Xin Zhao
16.59 52.29% 7.24% 2.35% 7.07%
orianna Orianna
16.53 51.38% 12.00% 3.79% 11.55%
varus Varus
15.47 52.75% 5.63% 0.22% 5.62%
sivir Sivir
14.56 52.21% 6.60% 0.31% 6.58%
singed Singed
14.48 52.83% 5.11% 2.61% 4.98%
garen Garen
13.47 51.76% 7.66% 3.58% 7.39%
riven Riven
12.47 50.86% 14.55% 7.51% 13.46%
veigar Veigar
12.05 51.98% 6.10% 1.64% 6.00%
xerath Xerath
11.35 54.00% 2.84% 0.28% 2.83%
heimerdinger Heimerdinger
11.16 55.78% 1.93% 0.54% 1.92%
ahri Ahri
10.92 50.89% 12.28% 5.26% 11.63%
vladimir Vladimir
10.45 50.93% 11.21% 21.05% 8.85%
ziggs Ziggs
9.16 53.39% 2.70% 0.38% 2.69%
skarner Skarner
9.11 61.63% 0.78% 0.06% 0.78%
ivern Ivern
9.00 56.54% 1.37% 0.24% 1.37%
ekko Ekko
8.73 50.96% 9.08% 4.83% 8.64%
aatrox Aatrox
8.06 57.58% 1.06% 1.97% 1.04%
pantheon Pantheon
7.98 51.07% 7.50% 12.37% 6.57%
vi Vi
7.38 51.64% 4.49% 0.69% 4.46%
jinx Jinx
6.88 50.47% 14.79% 1.01% 14.64%
lissandra Lissandra
5.96 52.88% 2.08% 0.29% 2.07%
annie Annie
5.66 50.70% 8.06% 6.53% 7.53%
tryndamere Tryndamere
5.54 50.94% 5.90% 5.79% 5.56%
irelia Irelia
5.45 51.11% 4.92% 1.66% 4.84%
swain Swain
5.27 51.84% 2.87% 0.75% 2.85%
kayn Kayn
4.93 50.27% 18.45% 24.83% 13.87%
shyvana Shyvana
3.81 50.87% 4.37% 0.78% 4.34%
zilean Zilean
3.45 51.43% 2.42% 0.35% 2.41%
yasuo Yasuo
3.44 50.14% 24.12% 38.63% 14.80%
quinn Quinn
3.37 52.03% 1.67% 0.42% 1.66%
morgana Morgana
2.63 50.24% 11.17% 4.94% 10.62%
hecarim Hecarim
2.00 50.62% 3.23% 0.92% 3.20%
amumu Amumu
1.88 50.42% 4.53% 1.03% 4.48%
leona Leona
1.82 50.19% 9.56% 3.05% 9.27%
kennen Kennen
1.79 50.50% 3.59% 1.31% 3.54%
xayah Xayah
1.70 50.09% 19.47% 8.69% 17.78%
draven Draven
1.57 50.11% 14.61% 27.02% 10.66%
cassiopeia Cassiopeia
1.43 50.43% 3.35% 1.96% 3.28%
monkeyKing Wukong
1.22 50.22% 5.46% 0.94% 5.41%
blitzcrank Blitzcrank
0.92 50.05% 18.32% 37.40% 11.47%
trundle Trundle
0.47 50.15% 3.05% 0.43% 3.04%
kindred Kindred
0.11 50.09% 1.26% 0.28% 1.26%
velkoz Velkoz
-0.24 49.95% 4.43% 0.48% 4.41%
aurelionSol Aurelionsol
-0.50 49.51% 1.03% 0.61% 1.02%
sion Sion
-0.59 49.86% 4.11% 0.32% 4.10%
braum Braum
-0.70 49.89% 6.20% 2.47% 6.05%
karthus Karthus
-0.93 49.35% 1.41% 0.26% 1.41%
lux Lux
-1.19 49.90% 11.62% 1.10% 11.49%
kayle Kayle
-1.29 49.65% 3.64% 0.95% 3.61%
elise Elise
-1.42 49.68% 4.44% 2.43% 4.33%
rumble Rumble
-1.63 49.50% 3.22% 0.66% 3.20%
talon Talon
-1.78 49.70% 5.99% 4.88% 5.70%
mordekaiser Mordekaiser
-1.90 48.74% 1.52% 0.36% 1.51%
shen Shen
-2.28 49.60% 5.62% 0.56% 5.59%
yorick Yorick
-2.31 48.88% 2.07% 0.97% 2.05%
nocturne Nocturne
-2.32 49.33% 3.44% 0.70% 3.42%
nunu Nunu
-2.60 48.11% 1.37% 0.18% 1.37%
missFortune Miss Fortune
-2.95 49.67% 8.95% 0.97% 8.86%
urgot Urgot
-3.00 48.81% 2.51% 1.33% 2.48%
zac Zac
-3.03 49.15% 3.54% 8.45% 3.24%
jayce Jayce
-3.12 49.62% 8.16% 6.09% 7.66%
volibear Volibear
-3.16 47.91% 1.51% 0.29% 1.51%
akali Akali
-4.76 49.02% 4.84% 5.49% 4.57%
shaco Shaco
-5.10 48.53% 3.46% 2.02% 3.39%
chogath Cho'Gath
-5.27 49.68% 16.33% 40.34% 9.74%
katarina Katarina
-5.60 49.29% 7.86% 9.83% 7.09%
kled Kled
-6.16 47.64% 2.61% 1.09% 2.58%
graves Graves
-6.17 48.03% 3.13% 0.36% 3.12%
bard Bard
-6.55 48.53% 4.47% 0.63% 4.44%
diana Diana
-6.83 48.66% 5.09% 2.37% 4.97%
maokai Maokai
-7.08 49.29% 9.94% 8.69% 9.08%
fiddlesticks Fiddlesticks
-7.48 47.51% 3.00% 0.66% 2.98%
udyr Udyr
-8.20 43.54% 1.27% 0.22% 1.27%
alistar Alistar
-8.62 48.89% 7.78% 2.76% 7.57%
tahmKench Tahm Kench
-8.85 45.81% 2.11% 0.56% 2.10%
rekSai Rek'Sai
-9.13 46.98% 3.02% 1.14% 2.99%
illaoi Illaoi
-9.77 44.50% 1.77% 2.43% 1.73%
drMundo Dr. Mundo
-10.39 47.31% 3.87% 0.91% 3.83%
nautilus Nautilus
-11.90 46.41% 3.31% 0.30% 3.30%
poppy Poppy
-13.62 43.91% 2.23% 0.17% 2.23%
malphite Malphite
-13.73 48.19% 7.59% 2.13% 7.43%
camille Camille
-14.28 45.04% 2.88% 1.97% 2.82%
azir Azir
-14.34 40.92% 1.58% 0.59% 1.57%
gnar Gnar
-14.88 46.87% 4.76% 1.43% 4.69%
viktor Viktor
-16.14 46.36% 4.43% 0.51% 4.41%
syndra Syndra
-16.33 47.90% 7.75% 5.22% 7.35%
nidalee Nidalee
-16.53 45.99% 4.12% 0.46% 4.10%
kassadin Kassadin
-16.58 48.08% 8.64% 13.89% 7.44%
evelynn Evelynn
-17.26 46.96% 5.68% 12.16% 4.99%
kalista Kalista
-18.21 46.85% 5.78% 1.48% 5.69%
rengar Rengar
-19.29 44.03% 3.23% 0.70% 3.21%
taliyah Taliyah
-19.83 43.77% 3.19% 0.55% 3.17%
ryze Ryze
-20.02 43.38% 3.02% 0.36% 3.01%
rakan Rakan
-22.81 47.91% 10.89% 5.01% 10.34%
corki Corki
-22.84 45.32% 4.88% 0.88% 4.84%
darius Darius
-24.27 48.30% 14.26% 35.77% 9.16%
galio Galio
-24.34 44.83% 4.70% 1.80% 4.62%
zed Zed
-24.74 49.07% 26.53% 45.23% 14.53%
olaf Olaf
-25.30 40.26% 2.60% 0.58% 2.58%
gangplank Gangplank
-27.23 46.94% 8.91% 2.08% 8.72%
ornn Ornn
-27.74 39.68% 2.69% 1.83% 2.64%
ashe Ashe
-30.79 47.61% 12.90% 0.82% 12.79%
masterYi Master Yi
-32.72 47.77% 14.66% 20.75% 11.62%
caitlyn Caitlyn
-33.21 46.11% 8.54% 6.11% 8.02%
leblanc Leblanc
-34.53 43.71% 5.49% 5.48% 5.19%
jhin Jhin
-38.13 46.20% 10.02% 0.98% 9.92%
ezreal Ezreal
-38.76 48.20% 21.47% 8.82% 19.58%
karma Karma
-41.56 43.81% 6.71% 0.47% 6.68%
khazix Khazix
-47.74 45.10% 9.75% 4.18% 9.34%
gragas Gragas
-58.03 43.87% 9.46% 1.74% 9.30%
lulu Lulu
-64.93 47.36% 24.62% 33.68% 16.33%
lucian Lucian
-70.46 45.60% 16.02% 2.99% 15.54%
leeSin Lee Sin
-74.17 46.26% 19.85% 11.34% 17.60%
thresh Thresh
-83.07 46.47% 23.50% 10.14% 21.12%

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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