Personalised Bans

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TOP SILVER BANS

draven
#1 : DRAVEN
Influence: 65
Win Rate: 52.58%
Pick Rate: 25.22%
warwick
#2 : WARWICK
Influence: 55
Win Rate: 53.60%
Pick Rate: 15.31%
janna
#3 : JANNA (1)
Influence: 53
Win Rate: 54.03%
Pick Rate: 13.15%
missFortune
#4 : MISS FORTUNE (1)
Influence: 50
Win Rate: 53.15%
Pick Rate: 16.01%

blitzcrank
#5 : BLITZCRANK (2)
Influence: 47
Win Rate: 52.17%
Pick Rate: 21.68%
chogath
#6 : CHO'GATH (4)
Influence: 43
Win Rate: 52.99%
Pick Rate: 14.53%
yasuo
#7 : YASUO (2)
Influence: 41
Win Rate: 51.35%
Pick Rate: 30.42%
sona
#8 : SONA (1)
Influence: 37
Win Rate: 53.37%
Pick Rate: 11.11%

zac
#9 : ZAC (4)
Influence: 36
Win Rate: 51.95%
Pick Rate: 18.51%
ahri
#10 : AHRI (5)
Influence: 34
Win Rate: 52.55%
Pick Rate: 13.28%
tristana
#11 : TRISTANA (5)
Influence: 33
Win Rate: 51.35%
Pick Rate: 24.56%
jarvanIV
#12 : JARVAN IV (4)
Influence: 32
Win Rate: 52.59%
Pick Rate: 12.34%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
draven Draven
65.14 52.58% 25.22% 55.44% 11.24%
warwick Warwick
55.07 53.60% 15.31% 23.20% 11.76%
janna Janna
53.02 54.03% 13.15% 1.39% 12.97%
missFortune Miss Fortune
50.47 53.15% 16.01% 3.50% 15.45%
blitzcrank Blitzcrank
47.10 52.17% 21.68% 36.01% 13.87%
chogath Cho'Gath
43.43 52.99% 14.53% 16.04% 12.20%
yasuo Yasuo
41.16 51.35% 30.42% 52.14% 14.56%
sona Sona
37.45 53.37% 11.11% 0.99% 11.00%
zac Zac
35.98 51.95% 18.51% 68.93% 5.75%
ahri Ahri
33.84 52.55% 13.28% 8.41% 12.16%
tristana Tristana
33.03 51.35% 24.56% 5.48% 23.21%
jarvanIV Jarvan IV
31.93 52.59% 12.34% 4.18% 11.82%
garen Garen
30.67 53.56% 8.62% 3.40% 8.33%
malzahar Malzahar
30.21 53.64% 8.29% 10.35% 7.43%
soraka Soraka
29.97 53.10% 9.68% 3.80% 9.31%
brand Brand
27.96 52.96% 9.45% 6.38% 8.85%
taric Taric
27.51 55.20% 5.29% 0.39% 5.27%
masterYi Master Yi
26.84 51.89% 14.22% 25.76% 10.56%
tryndamere Tryndamere
22.26 52.27% 9.81% 12.93% 8.54%
twitch Twitch
17.81 51.23% 14.49% 8.46% 13.26%
diana Diana
17.67 52.59% 6.81% 2.77% 6.62%
maokai Maokai
17.41 52.17% 8.02% 1.98% 7.86%
monkeyKing Wukong
17.36 52.60% 6.69% 1.60% 6.58%
teemo Teemo
17.07 52.11% 8.11% 5.14% 7.69%
jax Jax
16.77 51.16% 14.49% 8.83% 13.21%
anivia Anivia
16.76 53.03% 5.52% 3.30% 5.34%
amumu Amumu
16.21 53.54% 4.58% 1.37% 4.52%
rammus Rammus
14.19 52.84% 5.00% 3.56% 4.82%
sejuani Sejuani
14.13 52.49% 5.66% 3.02% 5.49%
swain Swain
13.82 53.18% 4.35% 1.66% 4.28%
nami Nami
12.83 51.25% 10.28% 0.33% 10.25%
xinZhao Xin Zhao
12.80 52.18% 5.88% 2.18% 5.75%
velkoz Velkoz
12.07 52.16% 5.60% 0.50% 5.57%
yorick Yorick
12.07 53.58% 3.37% 1.73% 3.31%
annie Annie
12.03 51.33% 9.04% 7.25% 8.38%
singed Singed
12.03 52.29% 5.25% 4.74% 5.00%
sion Sion
10.44 52.21% 4.73% 0.23% 4.72%
pantheon Pantheon
10.15 51.12% 9.04% 13.02% 7.86%
rakan Rakan
9.29 50.90% 10.26% 3.83% 9.87%
ziggs Ziggs
8.86 52.25% 3.94% 0.48% 3.92%
kayle Kayle
7.94 51.98% 4.01% 1.48% 3.95%
jhin Jhin
7.25 50.21% 34.11% 8.63% 31.17%
heimerdinger Heimerdinger
7.12 52.06% 3.46% 1.20% 3.42%
fiddlesticks Fiddlesticks
7.02 52.53% 2.77% 0.41% 2.76%
jayce Jayce
6.14 50.77% 7.97% 7.55% 7.37%
karthus Karthus
5.98 53.27% 1.82% 0.19% 1.82%
xerath Xerath
5.85 51.94% 3.01% 0.37% 3.00%
quinn Quinn
5.07 51.71% 2.96% 0.79% 2.94%
nocturne Nocturne
4.31 51.23% 3.50% 0.47% 3.48%
jinx Jinx
4.02 50.38% 10.71% 0.69% 10.64%
veigar Veigar
3.38 50.52% 6.50% 1.81% 6.38%
nunu Nunu
3.10 50.71% 4.35% 3.48% 4.20%
leona Leona
2.93 50.31% 9.38% 1.86% 9.21%
morgana Morgana
2.72 50.22% 12.10% 4.84% 11.51%
alistar Alistar
2.41 50.39% 6.13% 0.97% 6.07%
hecarim Hecarim
2.39 50.69% 3.45% 1.52% 3.40%
volibear Volibear
2.37 50.97% 2.45% 0.30% 2.44%
graves Graves
2.04 50.27% 7.43% 2.45% 7.25%
zyra Zyra
1.90 50.31% 6.19% 2.51% 6.03%
mordekaiser Mordekaiser
1.78 50.98% 1.81% 0.36% 1.80%
shyvana Shyvana
1.69 50.79% 2.15% 0.22% 2.15%
skarner Skarner
0.82 50.85% 0.96% 0.12% 0.96%
zilean Zilean
0.21 50.06% 3.54% 0.58% 3.52%
sivir Sivir
0.04 50.01% 2.93% 0.11% 2.93%
aatrox Aatrox
-0.19 49.86% 1.37% 1.47% 1.35%
fizz Fizz
-0.34 49.96% 8.94% 27.08% 6.52%
udyr Udyr
-0.36 49.81% 1.94% 0.24% 1.94%
nasus Nasus
-0.38 49.93% 5.46% 2.15% 5.34%
illaoi Illaoi
-0.46 49.83% 2.78% 3.93% 2.67%
evelynn Evelynn
-0.56 49.83% 3.33% 3.59% 3.21%
talon Talon
-0.77 49.90% 7.95% 9.26% 7.21%
rumble Rumble
-0.95 49.70% 3.19% 0.39% 3.18%
kindred Kindred
-1.00 49.53% 2.13% 0.34% 2.12%
irelia Irelia
-1.61 49.63% 4.30% 1.45% 4.24%
katarina Katarina
-1.61 49.74% 6.21% 8.17% 5.70%
kogMaw Kog'Maw
-1.69 49.39% 2.76% 0.23% 2.75%
aurelionSol Aurelionsol
-1.90 48.53% 1.29% 0.56% 1.28%
drMundo Dr. Mundo
-2.25 48.91% 2.06% 0.53% 2.05%
corki Corki
-2.67 49.65% 7.63% 1.76% 7.50%
shaco Shaco
-2.68 49.38% 4.35% 2.43% 4.24%
urgot Urgot
-2.86 45.29% 0.60% 0.41% 0.60%
xayah Xayah
-3.71 49.66% 10.84% 8.18% 9.95%
lissandra Lissandra
-3.86 47.82% 1.77% 0.20% 1.77%
vi Vi
-3.89 49.20% 4.83% 1.27% 4.77%
vayne Vayne
-4.19 49.73% 15.81% 5.33% 14.97%
trundle Trundle
-4.23 48.75% 3.38% 0.39% 3.37%
poppy Poppy
-4.51 48.45% 2.92% 0.21% 2.91%
malphite Malphite
-5.00 49.06% 5.33% 1.04% 5.27%
ivern Ivern
-5.14 46.07% 1.31% 2.11% 1.28%
kennen Kennen
-5.28 48.40% 3.32% 1.36% 3.27%
viktor Viktor
-5.35 48.60% 3.81% 0.38% 3.80%
kled Kled
-5.44 48.65% 4.02% 3.19% 3.89%
braum Braum
-5.58 49.40% 9.38% 2.59% 9.14%
bard Bard
-6.21 49.21% 7.91% 0.84% 7.84%
varus Varus
-6.48 48.72% 5.05% 0.19% 5.04%
vladimir Vladimir
-6.55 48.93% 6.14% 5.40% 5.81%
ekko Ekko
-6.75 49.25% 9.03% 4.76% 8.60%
gangplank Gangplank
-6.79 49.08% 7.38% 1.60% 7.26%
olaf Olaf
-7.53 47.72% 3.30% 0.71% 3.28%
gnar Gnar
-7.97 48.93% 7.43% 2.42% 7.25%
akali Akali
-8.01 48.65% 5.92% 6.08% 5.56%
nautilus Nautilus
-8.20 48.13% 4.38% 0.38% 4.36%
azir Azir
-8.89 42.72% 1.22% 0.35% 1.22%
twistedFate Twisted Fate
-8.94 48.40% 5.59% 0.32% 5.57%
kassadin Kassadin
-9.62 48.67% 7.25% 13.40% 6.28%
shen Shen
-9.94 48.07% 5.16% 0.55% 5.13%
ashe Ashe
-10.59 49.03% 10.92% 0.64% 10.85%
thresh Thresh
-10.63 49.68% 33.21% 13.13% 28.85%
darius Darius
-10.80 49.25% 14.35% 37.56% 8.96%
riven Riven
-10.86 49.30% 15.51% 11.79% 13.68%
lux Lux
-11.26 49.08% 12.18% 1.77% 11.96%
renekton Renekton
-11.26 48.91% 10.33% 6.31% 9.68%
camille Camille
-11.59 47.01% 3.88% 2.85% 3.77%
khazix Khazix
-12.80 49.16% 15.19% 14.44% 13.00%
fiora Fiora
-12.94 48.30% 7.62% 29.55% 5.37%
ryze Ryze
-13.61 41.99% 1.70% 0.21% 1.70%
tahmKench Tahm Kench
-14.45 46.56% 4.20% 1.44% 4.14%
cassiopeia Cassiopeia
-14.91 45.93% 3.67% 1.26% 3.62%
orianna Orianna
-15.91 48.98% 15.64% 6.64% 14.60%
elise Elise
-16.65 47.09% 5.74% 3.24% 5.55%
rekSai Rek'Sai
-17.07 45.33% 3.65% 2.54% 3.56%
kalista Kalista
-17.11 46.40% 4.75% 0.44% 4.73%
taliyah Taliyah
-17.46 46.08% 4.45% 0.50% 4.43%
gragas Gragas
-20.04 48.32% 11.95% 3.50% 11.53%
karma Karma
-20.27 46.37% 5.59% 0.49% 5.56%
nidalee Nidalee
-20.93 43.78% 3.36% 0.32% 3.35%
syndra Syndra
-25.32 47.19% 8.99% 8.10% 8.26%
leblanc Leblanc
-25.63 44.62% 4.76% 7.20% 4.42%
rengar Rengar
-26.36 44.36% 4.68% 1.62% 4.60%
galio Galio
-27.13 46.74% 8.31% 10.58% 7.43%
lulu Lulu
-30.04 46.96% 9.87% 9.85% 8.90%
zed Zed
-30.20 48.56% 20.98% 37.36% 13.14%
ezreal Ezreal
-38.28 44.47% 6.93% 0.69% 6.88%
lucian Lucian
-43.32 47.94% 21.00% 3.43% 20.28%
caitlyn Caitlyn
-87.15 47.49% 34.68% 44.96% 19.09%
leeSin Lee Sin
-97.16 44.86% 18.89% 13.45% 16.35%

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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