Personalised Bans

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TOP SILVER BANS

janna
#1 : JANNA
Influence: 193
Win Rate: 57.07%
Pick Rate: 27.31%
soraka
#2 : SORAKA
Influence: 76
Win Rate: 54.17%
Pick Rate: 18.32%
rammus
#3 : RAMMUS (1)
Influence: 47
Win Rate: 55.19%
Pick Rate: 9.01%
sona
#4 : SONA (1)
Influence: 42
Win Rate: 54.42%
Pick Rate: 9.52%

leona
#5 : LEONA (2)
Influence: 35
Win Rate: 52.07%
Pick Rate: 16.79%
jarvanIV
#6 : JARVAN IV
Influence: 34
Win Rate: 52.66%
Pick Rate: 12.61%
twitch
#7 : TWITCH (1)
Influence: 33
Win Rate: 51.51%
Pick Rate: 22.03%
tristana
#8 : TRISTANA (5)
Influence: 32
Win Rate: 51.03%
Pick Rate: 31.60%

chogath
#9 : CHO'GATH (7)
Influence: 31
Win Rate: 52.03%
Pick Rate: 15.26%
jax
#10 : JAX (1)
Influence: 31
Win Rate: 51.72%
Pick Rate: 17.71%
taric
#11 : TARIC
Influence: 29
Win Rate: 55.61%
Pick Rate: 5.13%
malzahar
#12 : MALZAHAR (1)
Influence: 25
Win Rate: 53.41%
Pick Rate: 7.46%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
192.96 57.07% 27.31% 30.93% 18.86%
soraka Soraka
76.43 54.17% 18.32% 17.30% 15.15%
rammus Rammus
46.72 55.19% 9.01% 11.66% 7.96%
sona Sona
42.02 54.42% 9.52% 0.82% 9.44%
leona Leona
34.79 52.07% 16.79% 12.17% 14.75%
jarvanIV Jarvan IV
33.52 52.66% 12.61% 4.41% 12.05%
twitch Twitch
33.26 51.51% 22.03% 21.29% 17.34%
tristana Tristana
32.47 51.03% 31.60% 20.54% 25.11%
chogath Cho'Gath
30.95 52.03% 15.26% 38.80% 9.34%
jax Jax
30.50 51.72% 17.71% 13.78% 15.27%
taric Taric
28.74 55.61% 5.13% 0.46% 5.11%
malzahar Malzahar
25.40 53.41% 7.46% 9.20% 6.77%
warwick Warwick
23.00 51.62% 14.18% 11.16% 12.60%
jinx Jinx
20.14 51.12% 17.94% 2.35% 17.52%
missFortune Miss Fortune
20.00 51.49% 13.47% 2.83% 13.09%
sejuani Sejuani
18.85 52.08% 9.05% 12.57% 7.91%
brand Brand
17.53 52.44% 7.18% 4.60% 6.85%
rakan Rakan
16.51 51.50% 11.04% 4.01% 10.60%
yasuo Yasuo
16.50 50.39% 42.31% 52.59% 20.06%
annie Annie
15.67 52.25% 6.99% 6.24% 6.55%
garen Garen
15.66 51.91% 8.21% 4.07% 7.88%
lux Lux
14.81 50.91% 16.33% 2.55% 15.91%
draven Draven
13.88 50.56% 25.02% 50.27% 12.44%
teemo Teemo
13.18 51.41% 9.35% 7.81% 8.62%
nasus Nasus
13.04 51.28% 10.22% 8.45% 9.36%
blitzcrank Blitzcrank
11.54 50.66% 17.42% 29.95% 12.20%
diana Diana
11.11 51.47% 7.58% 5.65% 7.15%
anivia Anivia
10.50 53.17% 3.32% 0.95% 3.29%
amumu Amumu
9.80 52.28% 4.31% 0.87% 4.27%
nami Nami
9.23 51.09% 8.49% 0.37% 8.46%
shyvana Shyvana
8.90 51.94% 4.59% 0.56% 4.56%
ahri Ahri
8.11 50.74% 11.00% 4.91% 10.46%
sion Sion
8.01 52.19% 3.66% 0.20% 3.65%
singed Singed
7.91 52.80% 2.83% 0.76% 2.81%
maokai Maokai
7.74 50.88% 8.82% 8.39% 8.08%
kayle Kayle
7.68 52.30% 3.34% 0.93% 3.31%
kogMaw Kog'Maw
6.99 50.95% 7.38% 3.90% 7.09%
masterYi Master Yi
6.86 50.39% 17.70% 20.45% 14.08%
ziggs Ziggs
5.76 51.60% 3.60% 0.32% 3.59%
xinZhao Xin Zhao
5.53 50.66% 8.35% 2.25% 8.16%
trundle Trundle
4.74 51.60% 2.96% 0.33% 2.95%
velkoz Velkoz
4.74 50.88% 5.40% 0.77% 5.36%
yorick Yorick
4.72 52.36% 2.00% 0.66% 1.99%
karthus Karthus
4.42 53.45% 1.28% 0.16% 1.28%
xerath Xerath
3.81 51.36% 2.80% 0.32% 2.79%
pantheon Pantheon
3.39 50.46% 7.46% 10.27% 6.69%
sivir Sivir
3.34 50.56% 6.01% 0.34% 5.99%
kayn Kayn
2.55 50.10% 26.13% 32.31% 17.69%
kled Kled
2.40 50.94% 2.57% 1.93% 2.52%
katarina Katarina
1.79 50.15% 12.37% 19.31% 9.98%
heimerdinger Heimerdinger
1.62 50.58% 2.81% 0.92% 2.78%
jayce Jayce
1.54 50.23% 6.64% 4.13% 6.37%
mordekaiser Mordekaiser
1.45 50.82% 1.77% 0.47% 1.76%
vi Vi
1.32 50.25% 5.38% 0.74% 5.34%
nocturne Nocturne
1.16 50.41% 2.84% 0.25% 2.83%
vayne Vayne
1.16 50.03% 38.73% 30.33% 26.98%
lulu Lulu
0.82 50.05% 16.38% 18.52% 13.35%
corki Corki
0.77 50.28% 2.81% 0.49% 2.80%
braum Braum
0.43 50.05% 9.65% 5.12% 9.16%
skarner Skarner
0.06 50.07% 0.95% 0.08% 0.95%
zyra Zyra
0.04 50.01% 3.92% 0.69% 3.89%
malphite Malphite
-0.13 49.98% 7.41% 1.91% 7.27%
monkeyKing Wukong
-0.25 49.95% 4.48% 0.60% 4.45%
kennen Kennen
-1.06 49.70% 3.51% 0.84% 3.48%
quinn Quinn
-1.41 49.35% 2.17% 0.35% 2.16%
fizz Fizz
-2.05 49.83% 11.73% 28.58% 8.38%
vladimir Vladimir
-2.21 49.74% 8.42% 8.48% 7.71%
fiddlesticks Fiddlesticks
-2.40 49.09% 2.62% 0.40% 2.61%
xayah Xayah
-2.44 49.87% 18.42% 13.85% 15.87%
aatrox Aatrox
-2.46 47.73% 1.09% 0.87% 1.08%
volibear Volibear
-2.99 48.69% 2.28% 0.24% 2.27%
drMundo Dr. Mundo
-3.05 48.77% 2.47% 0.84% 2.45%
tryndamere Tryndamere
-3.18 49.61% 8.05% 5.68% 7.59%
akali Akali
-3.34 49.51% 6.75% 9.81% 6.09%
orianna Orianna
-3.53 49.71% 12.29% 4.62% 11.72%
aurelionSol Aurelionsol
-3.60 45.76% 0.85% 0.63% 0.84%
rumble Rumble
-3.60 48.45% 2.32% 0.36% 2.31%
talon Talon
-3.74 49.45% 6.83% 4.65% 6.51%
elise Elise
-3.97 48.74% 3.15% 0.82% 3.12%
graves Graves
-4.08 48.13% 2.18% 0.20% 2.18%
illaoi Illaoi
-4.63 48.48% 3.04% 7.86% 2.80%
nautilus Nautilus
-4.71 48.78% 3.86% 0.29% 3.85%
swain Swain
-4.92 48.44% 3.15% 1.06% 3.12%
gnar Gnar
-4.99 49.33% 7.39% 3.14% 7.16%
urgot Urgot
-5.06 48.44% 3.24% 2.34% 3.16%
alistar Alistar
-5.07 49.33% 7.61% 1.52% 7.49%
lissandra Lissandra
-5.18 47.35% 1.96% 0.37% 1.95%
nunu Nunu
-5.60 44.64% 1.04% 0.09% 1.04%
hecarim Hecarim
-5.64 48.35% 3.41% 1.14% 3.37%
viktor Viktor
-5.77 47.75% 2.56% 0.21% 2.55%
poppy Poppy
-6.24 47.69% 2.69% 0.18% 2.69%
ivern Ivern
-6.44 45.37% 1.39% 0.55% 1.38%
veigar Veigar
-6.92 48.94% 6.53% 1.67% 6.42%
ekko Ekko
-7.03 49.30% 10.05% 6.23% 9.42%
irelia Irelia
-7.18 48.39% 4.46% 1.89% 4.38%
galio Galio
-7.67 48.05% 3.93% 1.03% 3.89%
evelynn Evelynn
-7.95 46.64% 2.37% 1.16% 2.34%
udyr Udyr
-7.95 44.13% 1.35% 0.13% 1.35%
varus Varus
-8.15 48.44% 5.24% 0.29% 5.22%
zilean Zilean
-8.74 45.96% 2.16% 0.23% 2.16%
shen Shen
-8.94 48.23% 5.05% 0.41% 5.03%
kindred Kindred
-9.09 44.12% 1.54% 0.20% 1.54%
taliyah Taliyah
-9.30 45.17% 1.92% 0.18% 1.92%
zac Zac
-9.48 47.94% 4.60% 9.48% 4.16%
tahmKench Tahm Kench
-9.52 45.93% 2.34% 0.47% 2.33%
fiora Fiora
-9.81 49.13% 11.28% 23.55% 8.62%
camille Camille
-10.21 45.98% 2.54% 1.99% 2.49%
twistedFate Twisted Fate
-10.71 47.83% 4.94% 0.28% 4.93%
shaco Shaco
-11.19 47.16% 3.94% 1.41% 3.88%
rekSai Rek'Sai
-11.62 42.16% 1.48% 0.16% 1.48%
riven Riven
-11.65 49.06% 12.33% 5.21% 11.69%
olaf Olaf
-12.48 45.13% 2.56% 0.50% 2.55%
khazix Khazix
-13.52 48.80% 11.27% 4.58% 10.75%
bard Bard
-14.05 46.44% 3.94% 0.48% 3.92%
cassiopeia Cassiopeia
-14.08 45.41% 3.08% 1.80% 3.02%
azir Azir
-15.04 42.49% 2.00% 0.58% 1.99%
renekton Renekton
-16.28 48.04% 8.32% 5.74% 7.84%
rengar Rengar
-16.73 45.79% 3.98% 0.79% 3.95%
gangplank Gangplank
-16.99 48.11% 8.99% 2.08% 8.80%
kassadin Kassadin
-19.10 46.26% 5.10% 4.51% 4.87%
ashe Ashe
-22.10 47.74% 9.78% 0.64% 9.72%
leblanc Leblanc
-22.25 44.10% 3.77% 3.42% 3.64%
kalista Kalista
-22.34 45.88% 5.43% 1.21% 5.36%
ornn Ornn
-22.95 42.81% 3.19% 2.87% 3.10%
nidalee Nidalee
-23.69 42.68% 3.24% 0.24% 3.23%
morgana Morgana
-23.76 48.29% 13.92% 10.32% 12.48%
karma Karma
-23.78 45.60% 5.41% 0.28% 5.39%
ryze Ryze
-24.17 41.01% 2.69% 0.26% 2.68%
jhin Jhin
-24.97 48.31% 14.78% 2.51% 14.41%
darius Darius
-25.83 48.45% 16.64% 49.29% 8.44%
syndra Syndra
-26.78 46.80% 8.36% 7.08% 7.77%
gragas Gragas
-28.10 47.09% 9.66% 1.91% 9.48%
ezreal Ezreal
-49.80 47.36% 18.86% 7.16% 17.51%
caitlyn Caitlyn
-50.98 45.24% 10.70% 7.70% 9.88%
lucian Lucian
-56.49 45.87% 13.68% 1.96% 13.41%
zed Zed
-80.70 48.03% 40.98% 54.66% 18.58%
leeSin Lee Sin
-111.54 44.75% 21.26% 9.88% 19.16%
thresh Thresh
-138.04 45.10% 28.17% 11.30% 24.99%

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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