Personalised Bans

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TOP DIAMOND BANS

janna
#1 : JANNA
Influence: 399
Win Rate: 60.77%
Pick Rate: 37.01%
riven
#2 : RIVEN (4)
Influence: 102
Win Rate: 54.48%
Pick Rate: 22.76%
vayne
#3 : VAYNE
Influence: 92
Win Rate: 51.83%
Pick Rate: 50.15%
soraka
#4 : SORAKA (1)
Influence: 86
Win Rate: 56.99%
Pick Rate: 12.29%

khazix
#5 : KHAZIX (2)
Influence: 71
Win Rate: 53.76%
Pick Rate: 18.84%
fizz
#6 : FIZZ (6)
Influence: 69
Win Rate: 53.93%
Pick Rate: 17.62%
twitch
#7 : TWITCH (4)
Influence: 67
Win Rate: 53.85%
Pick Rate: 17.36%
tristana
#8 : TRISTANA (4)
Influence: 64
Win Rate: 51.89%
Pick Rate: 33.77%

sejuani
#9 : SEJUANI (1)
Influence: 56
Win Rate: 58.02%
Pick Rate: 7.02%
katarina
#10 : KATARINA (8)
Influence: 55
Win Rate: 52.18%
Pick Rate: 25.45%
warwick
#11 : WARWICK (5)
Influence: 54
Win Rate: 54.29%
Pick Rate: 12.64%
yasuo
#12 : YASUO (69)
Influence: 51
Win Rate: 50.94%
Pick Rate: 54.72%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
398.59 60.77% 37.01% 20.20% 29.53%
riven Riven
101.90 54.48% 22.76% 14.36% 19.49%
vayne Vayne
91.76 51.83% 50.15% 42.69% 28.74%
soraka Soraka
85.89 56.99% 12.29% 4.73% 11.71%
khazix Khazix
70.80 53.76% 18.84% 7.27% 17.47%
fizz Fizz
69.17 53.93% 17.62% 42.12% 10.20%
twitch Twitch
66.78 53.85% 17.36% 9.69% 15.68%
tristana Tristana
63.82 51.89% 33.77% 9.03% 30.72%
sejuani Sejuani
56.29 58.02% 7.02% 4.96% 6.67%
katarina Katarina
55.47 52.18% 25.45% 38.22% 15.72%
warwick Warwick
54.15 54.29% 12.64% 8.62% 11.55%
yasuo Yasuo
51.43 50.94% 54.72% 63.14% 20.17%
jarvanIV Jarvan IV
49.43 52.23% 22.17% 12.37% 19.43%
xinZhao Xin Zhao
49.14 55.95% 8.26% 1.95% 8.10%
draven Draven
47.42 52.73% 17.37% 31.91% 11.83%
twistedFate Twisted Fate
38.46 57.81% 4.92% 0.21% 4.91%
xayah Xayah
34.80 52.34% 14.91% 9.33% 13.52%
chogath Cho'Gath
34.31 53.19% 10.77% 23.12% 8.28%
malphite Malphite
32.91 55.54% 5.94% 0.81% 5.89%
talon Talon
32.16 55.91% 5.44% 2.93% 5.28%
nasus Nasus
30.63 54.06% 7.54% 6.27% 7.07%
irelia Irelia
30.13 54.52% 6.67% 5.06% 6.33%
kogMaw Kog'Maw
29.92 55.20% 5.75% 2.42% 5.61%
lux Lux
29.05 52.72% 10.66% 0.86% 10.57%
kassadin Kassadin
28.64 53.94% 7.26% 8.60% 6.64%
diana Diana
28.11 51.85% 15.19% 34.78% 9.91%
jinx Jinx
27.52 51.49% 18.47% 1.78% 18.14%
velkoz Velkoz
27.39 54.26% 6.42% 0.90% 6.36%
volibear Volibear
27.16 63.30% 2.04% 0.21% 2.04%
ahri Ahri
26.92 52.37% 11.37% 4.60% 10.85%
brand Brand
25.65 54.41% 5.81% 3.00% 5.64%
fiddlesticks Fiddlesticks
25.43 60.47% 2.43% 0.40% 2.42%
zac Zac
24.32 52.40% 10.12% 31.22% 6.96%
rakan Rakan
23.52 51.89% 12.42% 2.88% 12.06%
pantheon Pantheon
22.56 53.54% 6.38% 5.30% 6.04%
lissandra Lissandra
21.83 56.28% 3.48% 0.59% 3.46%
garen Garen
21.65 53.42% 6.34% 3.92% 6.09%
sion Sion
20.06 59.65% 2.08% 0.20% 2.08%
yorick Yorick
19.43 61.95% 1.63% 0.36% 1.62%
varus Varus
18.86 54.72% 3.99% 0.18% 3.98%
zed Zed
18.73 50.59% 31.61% 52.61% 14.98%
akali Akali
17.43 54.48% 3.89% 2.68% 3.79%
gangplank Gangplank
16.37 54.01% 4.07% 0.55% 4.05%
malzahar Malzahar
15.94 54.27% 3.73% 1.62% 3.67%
rammus Rammus
14.52 53.43% 4.23% 0.78% 4.20%
zyra Zyra
14.45 55.50% 2.63% 0.75% 2.61%
jayce Jayce
14.16 52.25% 6.30% 2.36% 6.15%
graves Graves
13.92 55.23% 2.66% 0.22% 2.65%
camille Camille
13.83 54.66% 2.97% 2.94% 2.88%
lulu Lulu
13.56 50.56% 24.10% 27.18% 17.55%
poppy Poppy
13.49 52.42% 5.59% 0.49% 5.56%
maokai Maokai
13.25 51.86% 7.14% 4.42% 6.82%
swain Swain
13.12 56.41% 2.05% 0.46% 2.04%
ryze Ryze
12.97 57.87% 1.65% 0.11% 1.65%
kayle Kayle
11.73 53.67% 3.20% 0.42% 3.19%
braum Braum
11.31 51.04% 10.90% 5.89% 10.26%
bard Bard
10.44 52.57% 4.06% 0.41% 4.04%
udyr Udyr
10.33 60.05% 1.03% 0.06% 1.03%
vi Vi
10.04 51.98% 5.06% 0.40% 5.04%
kalista Kalista
7.89 51.02% 7.77% 1.57% 7.65%
morgana Morgana
7.41 50.55% 13.54% 10.02% 12.18%
nocturne Nocturne
5.89 52.47% 2.38% 0.17% 2.38%
missFortune Miss Fortune
5.61 50.68% 8.25% 0.73% 8.19%
aurelionSol Aurelionsol
5.60 56.85% 0.81% 0.53% 0.81%
viktor Viktor
5.51 51.74% 3.17% 0.23% 3.16%
annie Annie
5.21 50.85% 6.15% 3.57% 5.93%
rekSai Rek'Sai
4.40 51.43% 3.07% 0.69% 3.05%
karthus Karthus
4.34 55.71% 0.76% 0.10% 0.76%
skarner Skarner
4.19 55.62% 0.74% 0.06% 0.74%
syndra Syndra
4.14 50.43% 9.62% 11.41% 8.52%
anivia Anivia
3.51 51.55% 2.27% 0.88% 2.25%
singed Singed
3.15 53.32% 0.95% 0.11% 0.95%
xerath Xerath
3.08 51.49% 2.05% 0.19% 2.05%
ziggs Ziggs
2.26 50.73% 3.11% 0.32% 3.10%
nunu Nunu
2.22 52.96% 0.75% 0.05% 0.75%
rengar Rengar
1.31 50.16% 8.34% 3.63% 8.04%
shaco Shaco
1.30 50.42% 3.06% 0.55% 3.04%
gnar Gnar
0.74 50.10% 7.21% 1.42% 7.11%
illaoi Illaoi
0.36 50.13% 2.79% 5.08% 2.65%
monkeyKing Wukong
0.17 50.05% 3.16% 0.24% 3.15%
tryndamere Tryndamere
-0.49 49.87% 3.70% 1.55% 3.64%
kled Kled
-0.74 49.77% 3.21% 2.60% 3.13%
trundle Trundle
-0.82 49.77% 3.59% 0.39% 3.58%
heimerdinger Heimerdinger
-1.08 49.26% 1.44% 0.25% 1.44%
kindred Kindred
-1.48 48.90% 1.34% 0.12% 1.34%
ivern Ivern
-1.90 47.27% 0.69% 0.16% 0.69%
zilean Zilean
-2.03 48.86% 1.77% 0.16% 1.77%
leblanc Leblanc
-2.05 49.58% 4.85% 5.58% 4.58%
ashe Ashe
-2.27 49.65% 6.54% 0.36% 6.52%
drMundo Dr. Mundo
-2.74 48.27% 1.58% 0.43% 1.57%
ekko Ekko
-2.87 49.72% 10.43% 4.95% 9.91%
hecarim Hecarim
-3.58 49.26% 4.86% 0.60% 4.83%
kennen Kennen
-3.64 49.21% 4.61% 0.89% 4.57%
sivir Sivir
-3.90 49.05% 4.12% 0.18% 4.11%
orianna Orianna
-4.01 49.75% 16.19% 9.60% 14.64%
nami Nami
-4.14 49.37% 6.58% 0.17% 6.57%
nidalee Nidalee
-4.87 47.39% 1.87% 0.14% 1.87%
taric Taric
-5.77 48.50% 3.85% 0.26% 3.84%
aatrox Aatrox
-6.01 41.94% 0.74% 0.40% 0.74%
taliyah Taliyah
-6.46 48.25% 3.68% 0.63% 3.66%
urgot Urgot
-7.98 47.30% 2.95% 8.00% 2.71%
mordekaiser Mordekaiser
-7.99 43.56% 1.24% 0.31% 1.24%
shyvana Shyvana
-8.49 45.97% 2.10% 0.15% 2.10%
quinn Quinn
-9.12 47.41% 3.52% 0.68% 3.50%
masterYi Master Yi
-9.83 49.42% 16.82% 21.21% 13.25%
teemo Teemo
-9.83 48.26% 5.63% 4.87% 5.36%
corki Corki
-10.77 47.03% 3.63% 0.91% 3.60%
evelynn Evelynn
-11.02 44.59% 2.03% 1.07% 2.01%
galio Galio
-11.06 46.75% 3.41% 0.84% 3.38%
azir Azir
-11.23 44.01% 1.87% 0.49% 1.86%
darius Darius
-11.32 49.23% 14.70% 50.83% 7.23%
cassiopeia Cassiopeia
-12.12 46.51% 3.48% 1.45% 3.43%
nautilus Nautilus
-14.24 45.25% 3.00% 0.22% 2.99%
vladimir Vladimir
-15.95 47.73% 7.03% 5.69% 6.63%
blitzcrank Blitzcrank
-19.37 49.01% 19.62% 22.23% 15.26%
ezreal Ezreal
-20.52 46.47% 5.81% 0.72% 5.77%
sona Sona
-20.88 45.03% 4.20% 0.19% 4.19%
elise Elise
-21.04 44.26% 3.67% 1.10% 3.63%
amumu Amumu
-21.15 46.14% 5.48% 0.92% 5.43%
shen Shen
-23.26 47.13% 8.09% 0.99% 8.01%
rumble Rumble
-24.53 43.51% 3.79% 0.41% 3.77%
renekton Renekton
-25.66 46.10% 6.58% 3.96% 6.32%
alistar Alistar
-27.56 46.10% 7.06% 1.18% 6.98%
veigar Veigar
-27.60 46.66% 8.26% 2.06% 8.09%
tahmKench Tahm Kench
-28.00 35.51% 1.93% 0.25% 1.93%
gragas Gragas
-29.35 48.05% 15.05% 3.14% 14.58%
olaf Olaf
-31.61 34.49% 2.03% 0.24% 2.03%
karma Karma
-35.18 44.76% 6.71% 0.31% 6.69%
lucian Lucian
-37.83 48.50% 25.22% 3.25% 24.40%
jax Jax
-41.72 46.77% 12.90% 4.12% 12.37%
jhin Jhin
-44.08 46.52% 12.67% 1.37% 12.50%
leona Leona
-44.72 44.94% 8.84% 3.18% 8.56%
fiora Fiora
-53.92 46.50% 15.43% 46.20% 8.30%
leeSin Lee Sin
-83.36 46.97% 27.46% 10.23% 24.65%
caitlyn Caitlyn
-88.32 44.32% 15.53% 20.11% 12.41%
thresh Thresh
-238.42 43.13% 34.72% 14.03% 29.85%

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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