Personalised Bans

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TOP SILVER BANS

janna
#1 : JANNA
Influence: 132
Win Rate: 55.47%
Pick Rate: 24.18%
missFortune
#2 : MISS FORTUNE
Influence: 84
Win Rate: 54.35%
Pick Rate: 19.17%
blitzcrank
#3 : BLITZCRANK (1)
Influence: 69
Win Rate: 52.90%
Pick Rate: 23.90%
sona
#4 : SONA (1)
Influence: 62
Win Rate: 55.28%
Pick Rate: 11.71%

soraka
#5 : SORAKA (2)
Influence: 60
Win Rate: 54.11%
Pick Rate: 14.72%
malzahar
#6 : MALZAHAR (7)
Influence: 51
Win Rate: 54.93%
Pick Rate: 10.45%
amumu
#7 : AMUMU (7)
Influence: 43
Win Rate: 57.94%
Pick Rate: 5.46%
nami
#8 : NAMI (2)
Influence: 40
Win Rate: 52.77%
Pick Rate: 14.39%

taric
#9 : TARIC (2)
Influence: 39
Win Rate: 55.40%
Pick Rate: 7.30%
jinx
#10 : JINX (1)
Influence: 35
Win Rate: 51.72%
Pick Rate: 20.15%
katarina
#11 : KATARINA (4)
Influence: 34
Win Rate: 54.16%
Pick Rate: 8.12%
warwick
#12 : WARWICK (3)
Influence: 30
Win Rate: 51.77%
Pick Rate: 17.04%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
132.26 55.47% 24.18% 9.55% 21.87%
missFortune Miss Fortune
83.50 54.35% 19.17% 6.80% 17.87%
blitzcrank Blitzcrank
69.19 52.90% 23.90% 40.12% 14.31%
sona Sona
61.81 55.28% 11.71% 1.48% 11.54%
soraka Soraka
60.42 54.11% 14.72% 8.43% 13.48%
malzahar Malzahar
51.48 54.93% 10.45% 12.51% 9.14%
amumu Amumu
43.38 57.94% 5.46% 2.68% 5.31%
nami Nami
39.90 52.77% 14.39% 0.76% 14.28%
taric Taric
39.41 55.40% 7.30% 1.10% 7.22%
jinx Jinx
34.71 51.72% 20.15% 3.88% 19.37%
katarina Katarina
33.79 54.16% 8.12% 24.86% 6.10%
warwick Warwick
30.17 51.77% 17.04% 30.47% 11.85%
twitch Twitch
30.02 51.38% 21.76% 24.49% 16.43%
pantheon Pantheon
29.01 53.36% 8.62% 13.82% 7.43%
akali Akali
26.75 55.08% 5.26% 7.41% 4.87%
garen Garen
24.89 52.62% 9.49% 5.46% 8.97%
vi Vi
23.98 53.80% 6.32% 3.13% 6.12%
veigar Veigar
23.78 51.58% 15.02% 12.21% 13.19%
jax Jax
23.36 51.55% 15.10% 13.10% 13.12%
zac Zac
22.28 53.09% 7.20% 35.95% 4.61%
diana Diana
21.62 52.98% 7.26% 3.34% 7.02%
teemo Teemo
21.30 52.80% 7.59% 6.06% 7.13%
jarvanIV Jarvan IV
19.86 52.00% 9.94% 4.21% 9.52%
ziggs Ziggs
19.30 52.52% 7.65% 1.63% 7.53%
masterYi Master Yi
17.41 50.97% 17.95% 31.31% 12.33%
xinZhao Xin Zhao
17.28 51.57% 11.04% 6.56% 10.32%
brand Brand
16.40 51.12% 14.68% 17.69% 12.08%
nocturne Nocturne
15.42 53.33% 4.63% 1.46% 4.56%
kled Kled
15.34 54.78% 3.22% 3.89% 3.09%
draven Draven
14.27 51.51% 9.45% 15.77% 7.96%
nasus Nasus
13.95 51.09% 12.86% 15.77% 10.83%
monkeyKing Wukong
13.84 52.63% 5.27% 3.66% 5.08%
kayle Kayle
12.67 52.98% 4.24% 0.79% 4.21%
chogath Cho'Gath
11.46 50.96% 11.94% 28.53% 8.53%
yorick Yorick
11.46 52.73% 4.21% 2.05% 4.12%
tryndamere Tryndamere
10.37 51.30% 7.97% 8.63% 7.28%
xerath Xerath
10.27 53.28% 3.13% 0.75% 3.11%
swain Swain
9.66 52.28% 4.23% 1.06% 4.19%
anivia Anivia
9.49 52.53% 3.76% 1.63% 3.70%
urgot Urgot
9.35 51.09% 8.58% 15.95% 7.21%
heimerdinger Heimerdinger
9.22 53.70% 2.49% 0.82% 2.47%
tristana Tristana
8.63 50.35% 24.65% 7.95% 22.69%
zyra Zyra
8.15 51.29% 6.34% 3.95% 6.09%
kindred Kindred
7.85 52.60% 3.02% 0.40% 3.01%
hecarim Hecarim
7.64 51.25% 6.14% 8.46% 5.62%
kogMaw Kog'Maw
7.46 52.03% 3.67% 0.61% 3.65%
irelia Irelia
7.40 51.44% 5.15% 2.07% 5.04%
zilean Zilean
7.17 52.89% 2.49% 0.26% 2.48%
taliyah Taliyah
7.16 52.18% 3.29% 0.32% 3.28%
rammus Rammus
6.17 51.18% 5.26% 2.03% 5.15%
galio Galio
5.62 51.08% 5.19% 7.01% 4.83%
volibear Volibear
5.56 51.91% 2.91% 1.32% 2.87%
lux Lux
3.44 50.17% 20.53% 7.42% 19.01%
mordekaiser Mordekaiser
3.32 51.50% 2.20% 0.53% 2.19%
sion Sion
3.31 50.63% 5.29% 0.37% 5.27%
udyr Udyr
2.87 51.37% 2.08% 0.19% 2.08%
fiddlesticks Fiddlesticks
2.57 50.93% 2.77% 0.30% 2.76%
singed Singed
2.12 51.37% 1.56% 0.33% 1.55%
aurelionSol Aurelionsol
1.64 51.44% 1.14% 0.64% 1.13%
shyvana Shyvana
1.13 50.21% 5.46% 1.00% 5.41%
sejuani Sejuani
0.88 50.13% 6.92% 3.09% 6.71%
talon Talon
-0.03 49.99% 5.59% 7.33% 5.18%
trundle Trundle
-1.15 49.72% 4.20% 0.44% 4.18%
kalista Kalista
-1.69 49.59% 4.16% 1.11% 4.11%
karthus Karthus
-2.16 48.94% 2.04% 0.30% 2.03%
ahri Ahri
-2.49 49.84% 15.57% 8.87% 14.19%
twistedFate Twisted Fate
-2.69 49.51% 5.49% 0.24% 5.48%
illaoi Illaoi
-2.85 49.26% 3.85% 7.81% 3.55%
drMundo Dr. Mundo
-2.91 49.26% 3.94% 0.79% 3.91%
malphite Malphite
-2.94 49.57% 6.79% 2.28% 6.64%
alistar Alistar
-2.99 49.44% 5.35% 1.09% 5.29%
braum Braum
-3.83 49.55% 8.47% 4.56% 8.08%
camille Camille
-4.22 48.80% 3.50% 1.11% 3.46%
aatrox Aatrox
-6.44 46.82% 2.03% 0.76% 2.01%
ekko Ekko
-6.94 49.14% 8.09% 3.39% 7.82%
fiora Fiora
-6.99 49.11% 7.86% 12.85% 6.85%
viktor Viktor
-7.34 48.39% 4.55% 1.28% 4.49%
leona Leona
-7.57 49.31% 11.01% 6.46% 10.30%
ashe Ashe
-7.94 49.30% 11.34% 0.33% 11.30%
shaco Shaco
-8.49 48.26% 4.88% 4.08% 4.68%
cassiopeia Cassiopeia
-9.21 45.95% 2.27% 0.64% 2.26%
ivern Ivern
-10.46 40.83% 1.14% 0.32% 1.14%
shen Shen
-11.21 48.48% 7.35% 1.10% 7.27%
corki Corki
-11.29 46.33% 3.08% 0.54% 3.06%
rekSai Rek'Sai
-12.11 44.06% 2.03% 0.24% 2.03%
rumble Rumble
-12.81 44.14% 2.19% 0.49% 2.18%
maokai Maokai
-12.82 49.05% 13.43% 13.15% 11.66%
lissandra Lissandra
-13.18 43.98% 2.20% 0.25% 2.19%
nunu Nunu
-13.20 37.88% 1.09% 0.18% 1.09%
olaf Olaf
-13.51 45.94% 3.33% 0.58% 3.31%
skarner Skarner
-13.72 40.35% 1.42% 0.18% 1.42%
velkoz Velkoz
-14.30 48.02% 7.22% 3.23% 6.99%
nidalee Nidalee
-15.02 42.58% 2.02% 0.11% 2.02%
darius Darius
-15.14 48.96% 14.53% 32.69% 9.78%
poppy Poppy
-15.56 46.53% 4.48% 0.33% 4.47%
gragas Gragas
-15.58 48.09% 8.15% 2.22% 7.97%
vladimir Vladimir
-15.73 48.46% 10.21% 18.73% 8.30%
evelynn Evelynn
-16.58 46.34% 4.54% 3.42% 4.38%
kennen Kennen
-16.73 44.24% 2.90% 0.79% 2.88%
morgana Morgana
-17.10 48.68% 12.95% 8.19% 11.89%
rakan Rakan
-17.15 48.01% 8.63% 2.05% 8.45%
khazix Khazix
-18.22 48.07% 9.44% 7.01% 8.78%
ryze Ryze
-18.34 39.48% 1.74% 0.15% 1.74%
graves Graves
-18.79 43.17% 2.75% 0.67% 2.73%
karma Karma
-19.44 46.25% 5.19% 0.23% 5.18%
sivir Sivir
-19.62 47.32% 7.33% 0.30% 7.31%
quinn Quinn
-19.66 44.21% 3.40% 0.77% 3.37%
rengar Rengar
-20.07 44.28% 3.51% 0.78% 3.48%
syndra Syndra
-20.52 46.77% 6.35% 3.97% 6.10%
azir Azir
-20.72 39.73% 2.01% 1.22% 1.99%
kassadin Kassadin
-21.46 46.19% 5.64% 6.36% 5.28%
gnar Gnar
-22.10 46.00% 5.53% 2.31% 5.40%
annie Annie
-22.41 47.36% 8.49% 2.90% 8.24%
jhin Jhin
-23.29 48.95% 22.29% 6.23% 20.90%
tahmKench Tahm Kench
-23.62 41.36% 2.74% 0.61% 2.72%
xayah Xayah
-23.74 48.14% 12.78% 8.19% 11.73%
renekton Renekton
-25.15 47.08% 8.63% 4.35% 8.25%
leblanc Leblanc
-25.17 40.98% 2.79% 4.26% 2.67%
varus Varus
-25.85 46.98% 8.54% 1.10% 8.45%
gangplank Gangplank
-26.14 46.62% 7.73% 2.39% 7.55%
bard Bard
-26.30 44.74% 5.00% 1.25% 4.94%
fizz Fizz
-28.21 46.89% 9.07% 28.70% 6.47%
riven Riven
-31.04 46.84% 9.83% 5.42% 9.30%
nautilus Nautilus
-34.21 43.47% 5.23% 0.26% 5.22%
ezreal Ezreal
-39.29 45.55% 8.84% 0.64% 8.78%
elise Elise
-39.70 39.02% 3.62% 0.55% 3.60%
vayne Vayne
-42.48 47.94% 20.64% 20.90% 16.33%
lulu Lulu
-48.68 46.91% 15.77% 11.40% 13.97%
jayce Jayce
-50.61 38.56% 4.43% 2.88% 4.30%
zed Zed
-53.10 46.20% 13.97% 39.17% 8.50%
lucian Lucian
-68.54 45.06% 13.86% 2.27% 13.55%
orianna Orianna
-71.44 43.47% 10.95% 3.98% 10.51%
caitlyn Caitlyn
-73.73 45.85% 17.75% 15.22% 15.05%
yasuo Yasuo
-74.22 47.33% 27.74% 53.03% 13.03%
thresh Thresh
-76.34 45.34% 16.38% 8.05% 15.06%
leeSin Lee Sin
-82.42 43.28% 12.26% 6.88% 11.42%

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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