Personalised Bans

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TOP SILVER BANS

yasuo
#1 : YASUO
Influence: 185
Win Rate: 52.87%
Pick Rate: 64.44%
jinx
#2 : JINX
Influence: 83
Win Rate: 54.04%
Pick Rate: 20.56%
yorick
#3 : YORICK
Influence: 77
Win Rate: 55.60%
Pick Rate: 13.72%
sivir
#4 : SIVIR
Influence: 70
Win Rate: 54.25%
Pick Rate: 16.44%

nasus
#5 : NASUS
Influence: 51
Win Rate: 53.30%
Pick Rate: 15.35%
lux
#6 : LUX (2)
Influence: 43
Win Rate: 52.39%
Pick Rate: 18.10%
nami
#7 : NAMI (1)
Influence: 40
Win Rate: 52.89%
Pick Rate: 13.86%
sona
#8 : SONA (1)
Influence: 38
Win Rate: 55.25%
Pick Rate: 7.31%

ahri
#9 : AHRI (2)
Influence: 35
Win Rate: 52.78%
Pick Rate: 12.65%
velkoz
#10 : VELKOZ (4)
Influence: 34
Win Rate: 53.20%
Pick Rate: 10.59%
masterYi
#11 : MASTER YI (5)
Influence: 34
Win Rate: 52.68%
Pick Rate: 12.59%
blitzcrank
#12 : BLITZCRANK
Influence: 33
Win Rate: 53.23%
Pick Rate: 10.33%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
yasuo Yasuo
184.91 52.87% 64.44% 70.87% 18.77%
jinx Jinx
83.07 54.04% 20.56% 3.46% 19.85%
yorick Yorick
76.82 55.60% 13.72% 18.76% 11.15%
sivir Sivir
69.82 54.25% 16.44% 3.36% 15.89%
nasus Nasus
50.62 53.30% 15.35% 28.42% 10.99%
lux Lux
43.21 52.39% 18.10% 3.37% 17.49%
nami Nami
39.99 52.89% 13.86% 1.12% 13.70%
sona Sona
38.36 55.25% 7.31% 0.70% 7.26%
ahri Ahri
35.08 52.78% 12.65% 5.82% 11.91%
velkoz Velkoz
33.86 53.20% 10.59% 2.46% 10.33%
masterYi Master Yi
33.76 52.68% 12.59% 23.64% 9.61%
blitzcrank Blitzcrank
33.32 53.23% 10.33% 13.11% 8.98%
nunu Nunu
31.10 54.81% 6.48% 3.21% 6.27%
udyr Udyr
28.86 53.94% 7.33% 4.78% 6.98%
jarvanIV Jarvan IV
27.14 52.54% 10.71% 1.46% 10.55%
vayne Vayne
25.47 50.85% 30.05% 25.62% 22.35%
zyra Zyra
24.35 52.78% 8.75% 11.09% 7.78%
jax Jax
24.18 51.02% 23.83% 33.02% 15.96%
missFortune Miss Fortune
22.68 52.39% 9.49% 2.45% 9.26%
shyvana Shyvana
22.45 53.97% 5.65% 2.35% 5.52%
brand Brand
22.34 52.12% 10.53% 18.83% 8.55%
ashe Ashe
22.08 53.01% 7.35% 0.43% 7.32%
garen Garen
21.31 52.39% 8.93% 5.97% 8.40%
fizz Fizz
21.29 52.81% 7.57% 9.37% 6.86%
warwick Warwick
20.81 53.97% 5.23% 1.62% 5.15%
janna Janna
20.80 52.15% 9.70% 0.72% 9.63%
malzahar Malzahar
19.13 53.12% 6.14% 6.26% 5.76%
draven Draven
18.10 51.02% 17.74% 37.65% 11.06%
soraka Soraka
17.83 51.98% 9.02% 2.37% 8.81%
twitch Twitch
16.66 51.71% 9.77% 3.39% 9.44%
morgana Morgana
15.90 50.85% 18.66% 22.08% 14.54%
veigar Veigar
15.85 51.68% 9.45% 4.80% 9.00%
vi Vi
15.85 52.54% 6.23% 0.96% 6.17%
rammus Rammus
15.59 52.81% 5.56% 4.96% 5.28%
anivia Anivia
14.02 54.01% 3.50% 1.08% 3.46%
teemo Teemo
12.77 51.79% 7.16% 6.42% 6.70%
xerath Xerath
9.94 51.34% 7.42% 1.61% 7.30%
ivern Ivern
9.66 52.52% 3.84% 1.82% 3.77%
sion Sion
9.64 51.60% 6.01% 1.39% 5.93%
monkeyKing Wukong
8.80 52.09% 4.20% 0.59% 4.18%
amumu Amumu
8.43 52.13% 3.96% 0.61% 3.94%
zilean Zilean
7.61 51.42% 5.37% 2.16% 5.25%
volibear Volibear
7.56 52.29% 3.32% 0.47% 3.30%
nocturne Nocturne
7.42 51.48% 5.02% 2.17% 4.91%
sejuani Sejuani
7.27 50.90% 8.12% 4.59% 7.75%
taric Taric
7.03 52.87% 2.45% 0.16% 2.45%
leona Leona
6.34 50.57% 11.23% 6.92% 10.45%
karthus Karthus
6.00 50.51% 11.77% 37.39% 7.37%
kled Kled
5.98 51.96% 3.06% 1.23% 3.02%
malphite Malphite
5.85 50.92% 6.38% 1.12% 6.31%
illaoi Illaoi
5.60 51.19% 4.70% 7.70% 4.34%
quinn Quinn
5.56 52.75% 2.02% 0.55% 2.01%
shaco Shaco
4.89 50.85% 5.77% 4.70% 5.50%
kennen Kennen
4.66 50.90% 5.21% 2.30% 5.09%
tryndamere Tryndamere
3.95 50.49% 8.14% 7.50% 7.53%
annie Annie
3.10 50.87% 3.56% 1.09% 3.52%
kayle Kayle
3.01 51.29% 2.34% 0.33% 2.33%
ziggs Ziggs
2.48 50.96% 2.59% 0.27% 2.58%
katarina Katarina
2.38 50.33% 7.21% 5.10% 6.84%
cassiopeia Cassiopeia
2.35 50.55% 4.32% 2.84% 4.20%
viktor Viktor
2.33 50.65% 3.58% 0.51% 3.56%
swain Swain
2.24 50.81% 2.75% 0.48% 2.74%
fiddlesticks Fiddlesticks
2.22 50.45% 4.99% 1.96% 4.89%
evelynn Evelynn
2.14 50.36% 5.95% 11.02% 5.29%
elise Elise
1.68 50.39% 4.34% 0.75% 4.31%
heimerdinger Heimerdinger
0.80 50.29% 2.82% 1.00% 2.79%
corki Corki
0.70 50.19% 3.73% 0.36% 3.72%
taliyah Taliyah
0.19 50.19% 1.03% 0.09% 1.03%
xinZhao Xin Zhao
0.06 50.01% 8.41% 7.22% 7.80%
rumble Rumble
-0.22 49.88% 1.88% 0.18% 1.88%
zac Zac
-0.29 49.91% 3.25% 0.45% 3.24%
kogMaw Kog'Maw
-0.59 49.66% 1.71% 0.16% 1.71%
aurelionSol Aurelionsol
-0.91 49.00% 0.91% 0.39% 0.91%
skarner Skarner
-1.04 48.52% 0.70% 0.11% 0.70%
khazix Khazix
-1.18 49.90% 12.12% 14.38% 10.38%
jhin Jhin
-1.28 49.88% 10.41% 1.47% 10.26%
drMundo Dr. Mundo
-1.52 49.28% 2.11% 1.00% 2.09%
zed Zed
-1.95 49.93% 27.91% 46.36% 14.97%
hecarim Hecarim
-2.05 49.53% 4.38% 1.03% 4.33%
maokai Maokai
-2.12 49.00% 2.11% 0.14% 2.11%
orianna Orianna
-2.54 49.63% 6.81% 0.54% 6.77%
ekko Ekko
-2.60 49.62% 6.79% 1.89% 6.66%
thresh Thresh
-2.88 49.91% 31.09% 15.04% 26.41%
kassadin Kassadin
-3.14 49.46% 5.82% 9.07% 5.29%
rengar Rengar
-3.18 49.62% 8.42% 6.78% 7.85%
lucian Lucian
-3.22 49.88% 26.27% 19.38% 21.18%
singed Singed
-3.35 48.13% 1.79% 0.20% 1.79%
pantheon Pantheon
-3.50 49.26% 4.75% 2.24% 4.64%
mordekaiser Mordekaiser
-3.56 48.10% 1.87% 0.67% 1.86%
diana Diana
-3.73 49.29% 5.27% 3.02% 5.11%
braum Braum
-3.79 49.54% 8.19% 3.22% 7.93%
trundle Trundle
-3.92 47.91% 1.87% 0.20% 1.87%
shen Shen
-4.29 48.68% 3.24% 0.13% 3.24%
poppy Poppy
-4.73 48.76% 3.81% 1.29% 3.76%
bard Bard
-4.83 48.72% 3.77% 0.31% 3.76%
lulu Lulu
-4.87 49.57% 11.19% 4.10% 10.73%
olaf Olaf
-4.91 48.80% 4.08% 0.65% 4.05%
nautilus Nautilus
-5.43 48.65% 4.02% 0.32% 4.01%
gnar Gnar
-5.58 47.78% 2.50% 0.55% 2.49%
graves Graves
-5.64 48.49% 3.73% 0.90% 3.70%
kalista Kalista
-6.07 47.87% 2.85% 0.30% 2.84%
varus Varus
-7.04 47.16% 2.49% 0.22% 2.48%
twistedFate Twisted Fate
-7.12 47.87% 3.34% 0.11% 3.34%
kindred Kindred
-7.48 47.56% 3.06% 0.68% 3.04%
syndra Syndra
-7.58 48.14% 4.07% 0.63% 4.04%
rekSai Rek'Sai
-7.76 45.65% 1.79% 0.33% 1.78%
tristana Tristana
-7.81 49.44% 14.01% 1.83% 13.75%
fiora Fiora
-7.83 48.79% 6.46% 6.71% 6.03%
karma Karma
-7.94 48.85% 6.90% 0.47% 6.87%
riven Riven
-8.13 49.42% 14.09% 9.55% 12.74%
alistar Alistar
-8.30 48.84% 7.17% 3.53% 6.92%
urgot Urgot
-8.81 48.90% 8.01% 11.53% 7.09%
azir Azir
-9.44 45.29% 2.01% 0.40% 2.00%
galio Galio
-9.92 46.30% 2.68% 1.22% 2.65%
camille Camille
-10.07 46.91% 3.26% 2.90% 3.17%
gangplank Gangplank
-10.87 46.83% 3.42% 0.39% 3.41%
jayce Jayce
-10.93 48.28% 6.34% 2.95% 6.15%
talon Talon
-11.11 47.56% 4.55% 2.02% 4.46%
nidalee Nidalee
-11.48 45.47% 2.54% 0.29% 2.53%
aatrox Aatrox
-11.58 44.38% 2.06% 5.73% 1.94%
rakan Rakan
-12.13 45.19% 2.53% 0.28% 2.52%
renekton Renekton
-12.19 48.53% 8.28% 5.66% 7.81%
tahmKench Tahm Kench
-12.50 45.39% 2.72% 0.66% 2.70%
chogath Cho'Gath
-12.70 45.74% 2.98% 0.96% 2.95%
xayah Xayah
-13.21 46.36% 3.63% 0.46% 3.61%
lissandra Lissandra
-14.65 47.77% 6.58% 7.92% 6.06%
vladimir Vladimir
-14.81 48.70% 11.39% 15.40% 9.64%
leblanc Leblanc
-16.76 48.14% 9.01% 13.46% 7.80%
darius Darius
-18.79 48.80% 15.63% 35.26% 10.12%
gragas Gragas
-22.54 44.39% 4.02% 0.22% 4.01%
caitlyn Caitlyn
-24.62 48.87% 21.79% 11.06% 19.38%
akali Akali
-25.01 39.03% 2.28% 8.08% 2.10%
irelia Irelia
-27.06 47.33% 10.14% 10.76% 9.05%
ryze Ryze
-27.48 42.33% 3.58% 0.32% 3.57%
leeSin Lee Sin
-55.11 47.04% 18.60% 8.19% 17.08%
ezreal Ezreal
-96.32 45.83% 23.07% 8.80% 21.04%

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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