Personalised Bans

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TOP DIAMOND BANS

lucian
#1 : LUCIAN (1)
Influence: 132
Win Rate: 53.28%
Pick Rate: 40.19%
graves
#2 : GRAVES (1)
Influence: 104
Win Rate: 53.44%
Pick Rate: 30.19%
ahri
#3 : AHRI (1)
Influence: 93
Win Rate: 54.68%
Pick Rate: 19.94%
blitzcrank
#4 : BLITZCRANK (1)
Influence: 93
Win Rate: 54.92%
Pick Rate: 18.84%

masterYi
#5 : MASTER YI
Influence: 72
Win Rate: 55.07%
Pick Rate: 14.15%
darius
#6 : DARIUS (1)
Influence: 68
Win Rate: 54.43%
Pick Rate: 15.29%
shaco
#7 : SHACO (1)
Influence: 67
Win Rate: 55.95%
Pick Rate: 11.30%
fizz
#8 : FIZZ (2)
Influence: 55
Win Rate: 54.67%
Pick Rate: 11.88%

xinZhao
#9 : XIN ZHAO (2)
Influence: 55
Win Rate: 55.56%
Pick Rate: 9.92%
sona
#10 : SONA (1)
Influence: 55
Win Rate: 55.47%
Pick Rate: 10.10%
twitch
#11 : TWITCH (3)
Influence: 52
Win Rate: 55.96%
Pick Rate: 8.69%
tryndamere
#12 : TRYNDAMERE
Influence: 41
Win Rate: 55.35%
Pick Rate: 7.71%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
lucian Lucian
131.80 53.28% 40.19% 5.49% 37.98%
graves Graves
103.80 53.44% 30.19% 45.98% 16.31%
ahri Ahri
93.38 54.68% 19.94% 5.28% 18.89%
blitzcrank Blitzcrank
92.64 54.92% 18.84% 15.14% 15.99%
masterYi Master Yi
71.81 55.07% 14.15% 7.57% 13.08%
darius Darius
67.82 54.43% 15.29% 25.56% 11.38%
shaco Shaco
67.21 55.95% 11.30% 12.18% 9.92%
fizz Fizz
55.39 54.67% 11.88% 12.11% 10.44%
xinZhao Xin Zhao
55.21 55.56% 9.92% 2.36% 9.69%
sona Sona
55.19 55.47% 10.10% 0.49% 10.05%
twitch Twitch
51.84 55.96% 8.69% 1.08% 8.60%
tryndamere Tryndamere
41.24 55.35% 7.71% 2.82% 7.49%
lulu Lulu
37.16 51.54% 24.22% 17.45% 19.99%
teemo Teemo
34.13 53.91% 8.73% 2.41% 8.52%
ivern Ivern
31.26 56.53% 4.79% 7.90% 4.41%
anivia Anivia
30.57 55.99% 5.10% 0.80% 5.06%
katarina Katarina
29.80 52.70% 11.02% 29.57% 7.76%
twistedFate Twisted Fate
28.50 53.80% 7.49% 0.31% 7.47%
riven Riven
27.14 52.19% 12.39% 3.46% 11.96%
janna Janna
25.23 52.25% 11.19% 0.54% 11.13%
yasuo Yasuo
24.26 50.86% 28.22% 40.25% 16.86%
pantheon Pantheon
20.27 53.22% 6.29% 3.02% 6.10%
annie Annie
19.69 52.23% 8.83% 3.49% 8.52%
talon Talon
19.65 52.67% 7.34% 10.82% 6.55%
khazix Khazix
18.77 51.76% 10.66% 10.30% 9.56%
rumble Rumble
18.30 52.99% 6.12% 0.62% 6.08%
monkeyKing Wukong
17.69 53.26% 5.43% 0.62% 5.40%
jinx Jinx
16.39 51.47% 11.15% 0.39% 11.11%
zyra Zyra
15.36 51.92% 8.01% 3.68% 7.72%
ziggs Ziggs
15.31 52.99% 5.12% 0.53% 5.09%
kayle Kayle
14.53 54.12% 3.53% 0.46% 3.51%
veigar Veigar
12.65 51.74% 7.30% 1.47% 7.19%
orianna Orianna
12.59 50.92% 13.72% 1.57% 13.50%
syndra Syndra
12.42 52.07% 6.00% 3.79% 5.77%
karthus Karthus
12.33 58.07% 1.53% 0.06% 1.53%
taliyah Taliyah
11.79 54.87% 2.42% 0.10% 2.42%
kogMaw Kog'Maw
11.58 51.44% 8.04% 4.21% 7.70%
varus Varus
10.62 52.59% 4.10% 0.70% 4.07%
draven Draven
9.69 50.96% 10.11% 3.31% 9.78%
brand Brand
9.21 50.93% 9.91% 3.51% 9.56%
rammus Rammus
9.18 54.07% 2.26% 0.27% 2.25%
swain Swain
9.07 51.43% 6.33% 2.10% 6.20%
tahmKench Tahm Kench
7.72 52.55% 3.03% 0.32% 3.02%
mordekaiser Mordekaiser
7.69 54.50% 1.71% 0.25% 1.71%
vi Vi
7.69 51.07% 7.17% 5.04% 6.81%
ekko Ekko
7.27 50.71% 10.28% 3.28% 9.94%
hecarim Hecarim
6.90 50.61% 11.26% 19.81% 9.03%
nasus Nasus
6.48 50.97% 6.68% 1.58% 6.57%
gragas Gragas
4.93 50.57% 8.73% 0.75% 8.66%
rengar Rengar
4.46 50.46% 9.70% 22.27% 7.54%
skarner Skarner
4.15 53.85% 1.08% 0.06% 1.08%
fiddlesticks Fiddlesticks
3.05 50.91% 3.35% 0.45% 3.33%
kalista Kalista
2.94 50.85% 3.47% 0.16% 3.46%
zilean Zilean
2.86 50.81% 3.53% 0.29% 3.52%
malphite Malphite
2.83 50.38% 7.50% 1.11% 7.42%
jarvanIV Jarvan IV
2.78 50.63% 4.41% 0.18% 4.40%
udyr Udyr
2.04 51.10% 1.84% 0.08% 1.84%
heimerdinger Heimerdinger
1.79 51.18% 1.51% 0.30% 1.51%
ashe Ashe
1.78 50.13% 13.95% 0.34% 13.90%
olaf Olaf
1.53 50.36% 4.27% 0.53% 4.25%
fiora Fiora
1.31 50.13% 10.10% 9.79% 9.11%
kindred Kindred
1.07 50.41% 2.62% 0.20% 2.61%
cassiopeia Cassiopeia
0.75 50.25% 3.01% 0.84% 2.98%
irelia Irelia
0.58 50.12% 4.82% 1.06% 4.77%
urgot Urgot
0.47 50.60% 0.78% 0.32% 0.78%
volibear Volibear
0.45 50.18% 2.51% 0.20% 2.50%
renekton Renekton
0.38 50.04% 10.05% 2.55% 9.79%
caitlyn Caitlyn
0.07 50.00% 26.25% 4.86% 24.97%
rekSai Rek'Sai
-0.07 49.95% 1.32% 0.05% 1.32%
sion Sion
-0.50 49.87% 3.80% 0.09% 3.80%
evelynn Evelynn
-0.57 49.89% 5.07% 4.36% 4.85%
aurelionSol Aurelionsol
-0.73 49.45% 1.31% 0.29% 1.31%
akali Akali
-0.75 49.84% 4.75% 1.48% 4.68%
sejuani Sejuani
-0.89 49.54% 1.91% 0.05% 1.91%
camille Camille
-0.93 49.86% 6.43% 36.20% 4.10%
trundle Trundle
-1.37 49.47% 2.60% 0.10% 2.60%
elise Elise
-1.59 49.74% 6.07% 0.44% 6.04%
soraka Soraka
-2.83 49.67% 8.73% 2.01% 8.55%
jayce Jayce
-3.01 49.54% 6.51% 7.31% 6.03%
nautilus Nautilus
-3.41 49.75% 13.66% 2.28% 13.35%
gnar Gnar
-3.77 48.83% 3.22% 0.25% 3.21%
kassadin Kassadin
-3.78 48.66% 2.82% 0.18% 2.81%
tristana Tristana
-3.80 49.24% 5.00% 0.07% 5.00%
leblanc Leblanc
-4.05 48.19% 2.24% 5.40% 2.12%
poppy Poppy
-4.22 49.02% 4.30% 0.80% 4.27%
nocturne Nocturne
-4.24 48.68% 3.21% 0.26% 3.20%
nidalee Nidalee
-5.54 48.25% 3.15% 0.14% 3.15%
xerath Xerath
-5.64 48.41% 3.54% 0.16% 3.53%
shyvana Shyvana
-5.82 48.13% 3.11% 0.38% 3.10%
jax Jax
-5.85 49.30% 8.33% 1.49% 8.21%
velkoz Velkoz
-5.87 48.90% 5.31% 0.27% 5.30%
singed Singed
-6.55 48.11% 3.47% 0.62% 3.45%
kled Kled
-7.02 48.26% 4.04% 1.82% 3.97%
nami Nami
-7.04 49.37% 11.08% 0.11% 11.07%
corki Corki
-7.40 44.24% 1.28% 0.15% 1.28%
drMundo Dr. Mundo
-7.60 46.32% 2.07% 0.46% 2.06%
illaoi Illaoi
-7.74 47.59% 3.21% 3.48% 3.10%
malzahar Malzahar
-8.10 48.75% 6.47% 8.36% 5.93%
quinn Quinn
-8.28 47.16% 2.92% 2.16% 2.86%
taric Taric
-9.08 46.49% 2.58% 0.09% 2.58%
kennen Kennen
-9.83 46.62% 2.90% 0.41% 2.89%
diana Diana
-10.49 47.48% 4.17% 0.65% 4.14%
bard Bard
-10.70 47.20% 3.82% 0.25% 3.81%
amumu Amumu
-10.98 47.34% 4.12% 0.66% 4.09%
thresh Thresh
-11.38 49.52% 23.84% 1.29% 23.53%
morgana Morgana
-11.48 49.02% 11.77% 2.08% 11.53%
azir Azir
-11.72 43.61% 1.84% 0.33% 1.83%
alistar Alistar
-11.94 47.19% 4.26% 0.42% 4.24%
vayne Vayne
-12.71 49.31% 18.35% 5.56% 17.33%
sivir Sivir
-13.53 45.84% 3.25% 0.05% 3.25%
lissandra Lissandra
-13.54 42.96% 1.92% 0.09% 1.92%
braum Braum
-14.42 47.93% 6.96% 0.63% 6.92%
warwick Warwick
-14.70 48.95% 14.00% 18.12% 11.46%
nunu Nunu
-14.91 45.25% 3.15% 0.16% 3.14%
zac Zac
-15.76 47.78% 7.09% 5.14% 6.73%
vladimir Vladimir
-15.91 48.32% 9.44% 5.66% 8.91%
aatrox Aatrox
-16.06 40.89% 1.76% 1.86% 1.73%
chogath Cho'Gath
-16.65 46.53% 4.79% 1.66% 4.71%
maokai Maokai
-16.98 43.97% 2.81% 0.51% 2.80%
viktor Viktor
-18.06 46.53% 5.21% 0.30% 5.19%
karma Karma
-18.33 48.31% 10.85% 0.54% 10.79%
gangplank Gangplank
-18.99 48.29% 11.12% 2.08% 10.89%
zed Zed
-20.06 48.71% 15.61% 24.72% 11.75%
missFortune Miss Fortune
-20.45 48.07% 10.61% 0.97% 10.51%
leona Leona
-22.29 47.54% 9.08% 0.70% 9.02%
shen Shen
-24.12 45.82% 5.78% 0.46% 5.75%
yorick Yorick
-25.18 39.80% 2.47% 0.72% 2.45%
jhin Jhin
-32.71 47.95% 15.93% 3.54% 15.37%
ryze Ryze
-33.54 37.89% 2.77% 0.73% 2.75%
leeSin Lee Sin
-44.55 48.49% 29.41% 11.73% 25.96%
garen Garen
-51.35 41.14% 5.80% 1.33% 5.72%
lux Lux
-62.70 45.43% 13.72% 1.23% 13.55%
galio Galio
-94.64 47.65% 40.32% 51.91% 19.39%
ezreal Ezreal
-98.36 46.68% 29.64% 1.60% 29.17%

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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