Personalised Bans

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TOP SILVER BANS

ahri
#1 : AHRI
Influence: 179
Win Rate: 56.55%
Pick Rate: 27.40%
blitzcrank
#2 : BLITZCRANK (1)
Influence: 98
Win Rate: 54.81%
Pick Rate: 20.30%
thresh
#3 : THRESH (1)
Influence: 94
Win Rate: 54.51%
Pick Rate: 20.81%
sona
#4 : SONA (6)
Influence: 85
Win Rate: 55.84%
Pick Rate: 14.57%

zac
#5 : ZAC (4)
Influence: 74
Win Rate: 54.14%
Pick Rate: 17.96%
masterYi
#6 : MASTER YI (2)
Influence: 72
Win Rate: 52.98%
Pick Rate: 24.18%
fizz
#7 : FIZZ (3)
Influence: 72
Win Rate: 53.00%
Pick Rate: 23.94%
riven
#8 : RIVEN (2)
Influence: 72
Win Rate: 56.56%
Pick Rate: 10.94%

yasuo
#9 : YASUO (4)
Influence: 70
Win Rate: 53.49%
Pick Rate: 20.12%
missFortune
#10 : MISS FORTUNE (1)
Influence: 67
Win Rate: 54.42%
Pick Rate: 15.08%
anivia
#11 : ANIVIA (4)
Influence: 66
Win Rate: 57.04%
Pick Rate: 9.43%
fiora
#12 : FIORA (2)
Influence: 46
Win Rate: 53.31%
Pick Rate: 13.97%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
ahri Ahri
179.26 56.55% 27.40% 15.35% 23.19%
blitzcrank Blitzcrank
97.57 54.81% 20.30% 29.37% 14.34%
thresh Thresh
93.80 54.51% 20.81% 2.45% 20.30%
sona Sona
85.08 55.84% 14.57% 0.63% 14.48%
zac Zac
74.38 54.14% 17.96% 41.72% 10.47%
masterYi Master Yi
71.98 52.98% 24.18% 33.62% 16.05%
fizz Fizz
71.90 53.00% 23.94% 63.41% 8.76%
riven Riven
71.78 56.56% 10.94% 2.00% 10.72%
yasuo Yasuo
70.17 53.49% 20.12% 20.66% 15.96%
missFortune Miss Fortune
66.62 54.42% 15.08% 0.80% 14.96%
anivia Anivia
66.47 57.04% 9.43% 7.55% 8.72%
fiora Fiora
46.30 53.31% 13.97% 10.85% 12.45%
ziggs Ziggs
42.33 57.87% 5.38% 0.55% 5.35%
kassadin Kassadin
40.91 54.41% 9.27% 18.38% 7.57%
ashe Ashe
40.81 51.95% 20.93% 0.53% 20.82%
shaco Shaco
39.98 56.94% 5.76% 6.80% 5.37%
xinZhao Xin Zhao
37.77 53.90% 9.69% 1.65% 9.53%
xayah Xayah
32.22 52.02% 15.97% 14.38% 13.67%
twitch Twitch
31.44 52.49% 12.62% 2.94% 12.25%
swain Swain
30.11 55.52% 5.46% 1.06% 5.40%
maokai Maokai
28.31 53.64% 7.77% 16.12% 6.52%
jarvanIV Jarvan IV
27.39 54.80% 5.71% 0.29% 5.69%
yorick Yorick
27.10 55.11% 5.30% 1.96% 5.20%
jayce Jayce
26.21 54.90% 5.35% 1.16% 5.29%
renekton Renekton
25.37 52.97% 8.53% 2.83% 8.29%
shyvana Shyvana
24.12 54.40% 5.48% 0.60% 5.45%
brand Brand
23.21 51.93% 12.03% 2.53% 11.73%
kayle Kayle
22.25 54.53% 4.91% 1.00% 4.86%
garen Garen
22.06 53.24% 6.81% 1.02% 6.74%
nautilus Nautilus
22.02 52.73% 8.05% 0.80% 7.99%
kalista Kalista
20.71 58.35% 2.48% 0.15% 2.48%
jax Jax
20.47 51.95% 10.50% 1.54% 10.34%
twistedFate Twisted Fate
18.99 52.19% 8.68% 0.71% 8.62%
hecarim Hecarim
18.41 54.39% 4.19% 0.50% 4.17%
xerath Xerath
17.24 55.64% 3.06% 0.32% 3.05%
jinx Jinx
16.99 51.27% 13.44% 0.51% 13.37%
rekSai Rek'Sai
15.51 65.66% 0.99% 0.05% 0.99%
nocturne Nocturne
15.37 55.03% 3.05% 0.46% 3.04%
annie Annie
15.13 51.76% 8.59% 1.69% 8.44%
kennen Kennen
15.01 53.47% 4.32% 1.92% 4.24%
aurelionSol Aurelionsol
14.19 59.53% 1.49% 0.37% 1.48%
leona Leona
12.90 51.63% 7.90% 0.87% 7.83%
gnar Gnar
12.49 59.58% 1.30% 0.08% 1.30%
vi Vi
12.10 51.47% 8.23% 2.07% 8.06%
alistar Alistar
11.44 51.61% 7.09% 0.76% 7.04%
sejuani Sejuani
11.43 51.99% 5.75% 16.64% 4.79%
singed Singed
10.51 52.89% 3.64% 0.70% 3.61%
udyr Udyr
10.20 56.95% 1.46% 0.27% 1.46%
zyra Zyra
10.09 51.18% 8.54% 2.15% 8.36%
drMundo Dr. Mundo
9.85 55.47% 1.80% 0.04% 1.80%
draven Draven
9.27 51.34% 6.92% 1.66% 6.81%
nami Nami
8.40 50.77% 10.95% 0.26% 10.92%
soraka Soraka
7.38 50.85% 8.70% 1.32% 8.59%
fiddlesticks Fiddlesticks
7.03 51.98% 3.55% 0.22% 3.54%
tryndamere Tryndamere
6.24 50.91% 6.87% 2.82% 6.68%
darius Darius
5.24 50.29% 18.38% 18.66% 14.95%
amumu Amumu
4.98 50.85% 5.88% 0.87% 5.83%
akali Akali
4.74 51.01% 4.69% 1.11% 4.64%
braum Braum
4.41 50.94% 4.68% 0.10% 4.68%
malphite Malphite
2.85 50.38% 7.49% 0.85% 7.43%
monkeyKing Wukong
2.59 50.64% 4.06% 1.05% 4.02%
illaoi Illaoi
2.58 50.58% 4.45% 5.17% 4.22%
karthus Karthus
2.50 50.78% 3.20% 1.12% 3.16%
ivern Ivern
2.19 50.46% 4.81% 24.54% 3.63%
skarner Skarner
0.78 50.65% 1.20% 0.04% 1.20%
aatrox Aatrox
0.09 50.04% 2.23% 0.52% 2.22%
diana Diana
-0.01 50.00% 2.59% 0.24% 2.58%
teemo Teemo
-0.26 49.96% 6.22% 1.83% 6.11%
bard Bard
-0.60 49.85% 4.00% 0.24% 3.99%
mordekaiser Mordekaiser
-0.70 49.57% 1.61% 0.24% 1.61%
viktor Viktor
-1.32 49.68% 4.11% 0.42% 4.09%
heimerdinger Heimerdinger
-1.54 49.54% 3.36% 0.85% 3.33%
warwick Warwick
-1.82 49.82% 10.09% 2.44% 9.84%
talon Talon
-3.47 49.12% 3.95% 3.01% 3.83%
nasus Nasus
-3.62 49.51% 7.43% 1.87% 7.29%
tahmKench Tahm Kench
-3.67 49.19% 4.52% 0.62% 4.49%
corki Corki
-4.84 41.67% 0.58% 0.10% 0.58%
shen Shen
-4.94 49.24% 6.48% 0.39% 6.45%
quinn Quinn
-6.23 47.21% 2.23% 0.52% 2.22%
varus Varus
-6.41 48.82% 5.41% 0.44% 5.39%
kled Kled
-6.42 48.89% 5.78% 3.49% 5.58%
urgot Urgot
-6.54 42.93% 0.93% 3.18% 0.90%
zilean Zilean
-7.74 48.23% 4.38% 0.36% 4.36%
volibear Volibear
-8.06 45.01% 1.61% 0.10% 1.61%
azir Azir
-8.13 41.83% 0.99% 0.27% 0.99%
gragas Gragas
-8.53 48.92% 7.87% 0.69% 7.82%
rengar Rengar
-9.77 45.47% 2.16% 0.98% 2.14%
jhin Jhin
-9.82 48.73% 7.71% 0.27% 7.69%
galio Galio
-9.88 49.13% 11.36% 7.41% 10.52%
rammus Rammus
-10.47 48.48% 6.88% 7.06% 6.39%
morgana Morgana
-10.50 49.12% 11.93% 1.33% 11.77%
olaf Olaf
-10.82 46.66% 3.25% 0.78% 3.22%
vayne Vayne
-11.12 49.09% 12.25% 2.64% 11.93%
ekko Ekko
-11.76 49.01% 11.86% 6.73% 11.06%
gangplank Gangplank
-11.85 47.43% 4.60% 0.29% 4.59%
lissandra Lissandra
-12.65 42.64% 1.71% 0.14% 1.71%
taliyah Taliyah
-13.34 46.22% 3.53% 0.35% 3.52%
trundle Trundle
-13.39 41.58% 1.59% 0.04% 1.59%
kogMaw Kog'Maw
-14.05 46.85% 4.45% 0.63% 4.42%
zed Zed
-15.96 48.30% 9.39% 17.32% 7.76%
rakan Rakan
-16.25 45.53% 3.63% 0.87% 3.60%
malzahar Malzahar
-16.53 44.63% 3.07% 1.41% 3.03%
katarina Katarina
-16.88 48.01% 8.48% 16.23% 7.10%
velkoz Velkoz
-18.03 47.93% 8.72% 1.16% 8.62%
rumble Rumble
-18.29 46.69% 5.54% 0.91% 5.49%
cassiopeia Cassiopeia
-19.95 45.04% 4.02% 0.77% 3.99%
chogath Cho'Gath
-19.99 43.57% 3.11% 0.26% 3.10%
leblanc Leblanc
-20.27 46.14% 5.25% 4.43% 5.02%
karma Karma
-20.52 48.54% 14.03% 0.98% 13.89%
kindred Kindred
-21.04 44.09% 3.56% 0.22% 3.55%
nidalee Nidalee
-23.57 42.44% 3.11% 0.11% 3.11%
veigar Veigar
-23.70 45.69% 5.50% 0.49% 5.47%
taric Taric
-24.61 39.58% 2.36% 0.12% 2.36%
caitlyn Caitlyn
-24.97 49.33% 37.26% 6.66% 34.78%
pantheon Pantheon
-25.21 47.39% 9.68% 6.99% 9.00%
camille Camille
-25.36 30.15% 1.28% 0.59% 1.27%
tristana Tristana
-25.81 45.50% 5.73% 0.14% 5.72%
khazix Khazix
-26.72 47.63% 11.27% 3.73% 10.85%
elise Elise
-26.74 47.20% 9.57% 4.16% 9.17%
sivir Sivir
-28.66 45.48% 6.33% 0.07% 6.33%
sion Sion
-30.47 44.26% 5.31% 0.24% 5.30%
ezreal Ezreal
-31.77 47.98% 15.71% 0.85% 15.58%
vladimir Vladimir
-32.76 46.18% 8.58% 4.99% 8.15%
syndra Syndra
-34.76 46.61% 10.27% 5.05% 9.75%
irelia Irelia
-34.77 44.64% 6.48% 1.13% 6.41%
lux Lux
-38.07 45.31% 8.12% 0.29% 8.10%
ryze Ryze
-38.45 36.87% 2.93% 0.19% 2.92%
graves Graves
-39.31 46.95% 12.89% 10.88% 11.49%
janna Janna
-41.40 44.27% 7.22% 0.18% 7.21%
evelynn Evelynn
-45.14 42.55% 6.06% 10.66% 5.41%
poppy Poppy
-47.83 36.27% 3.49% 0.17% 3.48%
nunu Nunu
-48.54 38.39% 4.19% 0.61% 4.16%
orianna Orianna
-54.76 45.57% 12.37% 1.28% 12.21%
leeSin Lee Sin
-57.26 48.38% 35.35% 23.73% 26.96%
lulu Lulu
-57.93 46.63% 17.20% 11.37% 15.24%
lucian Lucian
-93.95 46.91% 30.46% 15.69% 25.68%

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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