Personalised Bans

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TOP DIAMOND BANS

ekko
#1 : EKKO
Influence: 110
Win Rate: 53.31%
Pick Rate: 33.23%
masterYi
#2 : MASTER YI
Influence: 88
Win Rate: 56.40%
Pick Rate: 13.70%
caitlyn
#3 : CAITLYN
Influence: 72
Win Rate: 52.64%
Pick Rate: 27.07%
nautilus
#4 : NAUTILUS
Influence: 66
Win Rate: 53.00%
Pick Rate: 21.87%

leona
#5 : LEONA (3)
Influence: 64
Win Rate: 53.81%
Pick Rate: 16.79%
blitzcrank
#6 : BLITZCRANK (1)
Influence: 55
Win Rate: 53.59%
Pick Rate: 15.47%
jhin
#7 : JHIN (2)
Influence: 54
Win Rate: 53.54%
Pick Rate: 15.18%
missFortune
#8 : MISS FORTUNE (2)
Influence: 51
Win Rate: 53.15%
Pick Rate: 16.20%

yasuo
#9 : YASUO (2)
Influence: 49
Win Rate: 51.28%
Pick Rate: 38.64%
ashe
#10 : ASHE (3)
Influence: 47
Win Rate: 52.45%
Pick Rate: 19.32%
vayne
#11 : VAYNE (5)
Influence: 44
Win Rate: 53.52%
Pick Rate: 12.39%
jinx
#12 : JINX
Influence: 42
Win Rate: 52.80%
Pick Rate: 14.94%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
ekko Ekko
110.05 53.31% 33.23% 32.19% 22.53%
masterYi Master Yi
87.57 56.40% 13.70% 25.67% 10.18%
caitlyn Caitlyn
71.51 52.64% 27.07% 16.66% 22.56%
nautilus Nautilus
65.59 53.00% 21.87% 26.84% 16.00%
leona Leona
64.00 53.81% 16.79% 16.31% 14.05%
blitzcrank Blitzcrank
55.47 53.59% 15.47% 38.12% 9.57%
jhin Jhin
53.69 53.54% 15.18% 2.29% 14.83%
missFortune Miss Fortune
51.01 53.15% 16.20% 2.70% 15.76%
yasuo Yasuo
49.46 51.28% 38.64% 45.03% 21.24%
ashe Ashe
47.24 52.45% 19.32% 8.50% 17.68%
vayne Vayne
43.58 53.52% 12.39% 4.88% 11.79%
jinx Jinx
41.81 52.80% 14.94% 2.52% 14.56%
fizz Fizz
41.61 54.75% 8.76% 14.75% 7.47%
jax Jax
39.75 52.71% 14.67% 19.10% 11.87%
darius Darius
39.44 52.38% 16.58% 31.56% 11.35%
tristana Tristana
30.01 52.85% 10.54% 1.56% 10.38%
swain Swain
29.84 54.72% 6.33% 2.53% 6.17%
zed Zed
26.51 52.02% 13.11% 29.16% 9.29%
shaco Shaco
26.48 52.21% 12.00% 31.51% 8.22%
khazix Khazix
26.44 52.15% 12.28% 16.32% 10.28%
nunu Nunu
26.34 56.20% 4.25% 1.75% 4.18%
ahri Ahri
25.30 52.54% 9.96% 5.38% 9.42%
kayle Kayle
24.39 51.76% 13.84% 21.38% 10.88%
janna Janna
23.84 53.97% 6.02% 0.48% 5.99%
soraka Soraka
23.65 54.16% 5.68% 1.08% 5.62%
vi Vi
22.63 53.75% 6.04% 1.42% 5.95%
teemo Teemo
22.00 52.44% 9.03% 9.46% 8.18%
garen Garen
21.13 51.34% 15.80% 23.23% 12.13%
fiora Fiora
20.67 52.41% 8.59% 11.03% 7.64%
hecarim Hecarim
20.41 53.52% 5.80% 3.90% 5.57%
annie Annie
19.85 54.58% 4.33% 1.68% 4.26%
taric Taric
19.53 61.08% 1.77% 0.47% 1.76%
nami Nami
18.00 51.99% 9.04% 0.58% 8.99%
riven Riven
17.80 52.42% 7.36% 3.83% 7.08%
volibear Volibear
17.28 53.23% 5.36% 1.15% 5.30%
velkoz Velkoz
17.09 53.27% 5.23% 1.02% 5.18%
twitch Twitch
17.07 53.29% 5.18% 1.01% 5.13%
draven Draven
16.77 51.97% 8.51% 14.50% 7.28%
orianna Orianna
15.19 52.91% 5.22% 0.61% 5.19%
drMundo Dr. Mundo
15.00 52.24% 6.72% 6.97% 6.25%
zac Zac
14.39 52.88% 4.99% 2.03% 4.89%
lux Lux
14.38 50.94% 15.38% 3.60% 14.83%
rakan Rakan
14.13 52.46% 5.75% 0.85% 5.70%
fiddlesticks Fiddlesticks
14.08 54.88% 2.89% 1.00% 2.86%
malzahar Malzahar
13.82 52.23% 6.20% 8.89% 5.65%
rengar Rengar
13.71 52.29% 5.98% 6.43% 5.60%
kled Kled
12.75 52.79% 4.58% 4.58% 4.37%
vladimir Vladimir
12.56 51.05% 12.01% 20.68% 9.53%
twistedFate Twisted Fate
11.77 52.60% 4.53% 0.33% 4.52%
katarina Katarina
11.02 51.72% 6.43% 4.54% 6.14%
aurelionSol Aurelionsol
10.69 59.68% 1.10% 0.36% 1.10%
kennen Kennen
10.57 53.29% 3.21% 1.94% 3.15%
mordekaiser Mordekaiser
10.28 51.01% 10.18% 10.24% 9.14%
urgot Urgot
10.16 52.88% 3.53% 1.59% 3.47%
shen Shen
9.74 52.18% 4.48% 0.39% 4.46%
elise Elise
9.73 51.57% 6.20% 3.56% 5.98%
malphite Malphite
9.60 50.95% 10.14% 9.46% 9.18%
viktor Viktor
8.62 53.09% 2.79% 0.31% 2.78%
kindred Kindred
8.44 53.26% 2.59% 0.64% 2.57%
taliyah Taliyah
8.08 55.46% 1.48% 0.13% 1.48%
lissandra Lissandra
8.04 53.26% 2.47% 0.73% 2.45%
trundle Trundle
7.71 55.22% 1.48% 0.13% 1.48%
zilean Zilean
7.37 52.89% 2.56% 0.74% 2.54%
anivia Anivia
7.00 52.62% 2.68% 1.00% 2.65%
jarvanIV Jarvan IV
6.72 50.83% 8.15% 1.59% 8.02%
rammus Rammus
6.62 52.18% 3.04% 3.43% 2.94%
xinZhao Xin Zhao
6.58 51.60% 4.12% 0.88% 4.08%
bard Bard
6.39 51.82% 3.51% 0.41% 3.50%
monkeyKing Wukong
6.13 52.60% 2.36% 0.30% 2.35%
cassiopeia Cassiopeia
6.00 52.43% 2.47% 0.84% 2.45%
tryndamere Tryndamere
5.95 50.79% 7.58% 8.29% 6.95%
talon Talon
5.82 50.94% 6.23% 5.95% 5.86%
graves Graves
5.77 51.26% 4.59% 0.66% 4.56%
zyra Zyra
5.73 51.00% 5.72% 3.62% 5.51%
tahmKench Tahm Kench
5.34 55.11% 1.04% 0.41% 1.04%
thresh Thresh
4.89 50.25% 19.36% 7.33% 17.94%
veigar Veigar
4.47 50.50% 8.99% 4.44% 8.59%
olaf Olaf
4.45 50.82% 5.41% 2.35% 5.28%
poppy Poppy
4.44 51.73% 2.56% 0.51% 2.55%
nidalee Nidalee
4.35 51.40% 3.10% 0.43% 3.09%
galio Galio
4.13 50.86% 4.79% 0.99% 4.74%
karma Karma
3.44 51.03% 3.35% 0.28% 3.34%
kogMaw Kog'Maw
3.17 52.07% 1.53% 0.11% 1.53%
heimerdinger Heimerdinger
3.14 50.67% 4.70% 2.24% 4.59%
maokai Maokai
2.95 51.17% 2.52% 0.18% 2.52%
syndra Syndra
2.89 50.51% 5.71% 2.16% 5.59%
rekSai Rek'Sai
2.61 50.86% 3.03% 1.11% 3.00%
sivir Sivir
2.27 50.50% 4.59% 0.81% 4.55%
pantheon Pantheon
2.26 50.33% 6.96% 12.53% 6.09%
ivern Ivern
1.88 51.94% 0.97% 0.25% 0.97%
renekton Renekton
1.85 50.19% 9.88% 9.32% 8.96%
illaoi Illaoi
1.42 50.36% 3.93% 6.67% 3.67%
udyr Udyr
1.19 50.31% 3.87% 2.17% 3.79%
kassadin Kassadin
0.78 50.17% 4.55% 5.66% 4.29%
ziggs Ziggs
0.69 50.41% 1.69% 0.15% 1.69%
warwick Warwick
-0.03 50.00% 6.96% 1.89% 6.83%
xerath Xerath
-0.20 49.96% 5.00% 1.37% 4.93%
nocturne Nocturne
-0.74 49.90% 7.18% 3.11% 6.96%
camille Camille
-0.79 49.85% 5.35% 1.29% 5.28%
karthus Karthus
-0.88 49.68% 2.76% 2.37% 2.69%
shyvana Shyvana
-1.18 49.54% 2.54% 0.45% 2.53%
skarner Skarner
-1.32 48.39% 0.82% 0.12% 0.82%
leblanc Leblanc
-2.13 49.59% 5.14% 5.31% 4.87%
sion Sion
-2.18 49.23% 2.83% 0.21% 2.82%
sona Sona
-2.37 49.34% 3.59% 0.32% 3.58%
amumu Amumu
-2.46 49.46% 4.56% 0.99% 4.51%
yorick Yorick
-2.49 49.12% 2.81% 1.32% 2.77%
rumble Rumble
-2.58 49.25% 3.42% 0.48% 3.40%
kalista Kalista
-3.71 47.54% 1.51% 0.15% 1.51%
jayce Jayce
-4.19 48.31% 2.48% 0.72% 2.46%
diana Diana
-4.61 49.22% 5.93% 3.13% 5.74%
gnar Gnar
-5.15 48.13% 2.75% 0.55% 2.73%
quinn Quinn
-5.33 47.88% 2.52% 1.08% 2.49%
gangplank Gangplank
-5.64 48.86% 4.95% 1.54% 4.87%
corki Corki
-5.77 42.33% 0.75% 0.21% 0.75%
evelynn Evelynn
-5.97 48.94% 5.61% 12.23% 4.92%
singed Singed
-6.03 48.03% 3.05% 0.48% 3.04%
chogath Cho'Gath
-6.59 48.51% 4.42% 0.95% 4.38%
lulu Lulu
-6.78 48.59% 4.82% 0.80% 4.78%
varus Varus
-8.79 48.00% 4.39% 0.21% 4.38%
sejuani Sejuani
-8.91 45.30% 1.90% 0.46% 1.89%
azir Azir
-10.52 41.80% 1.28% 0.30% 1.28%
morgana Morgana
-11.15 49.44% 19.82% 39.11% 12.07%
akali Akali
-11.27 49.19% 13.95% 17.77% 11.47%
lucian Lucian
-12.86 49.19% 15.78% 1.77% 15.50%
ezreal Ezreal
-16.11 49.01% 16.24% 3.57% 15.66%
xayah Xayah
-16.39 48.79% 13.52% 6.15% 12.69%
alistar Alistar
-16.58 44.30% 2.91% 0.93% 2.88%
aatrox Aatrox
-18.12 46.92% 5.89% 5.76% 5.55%
gragas Gragas
-18.40 46.23% 4.88% 0.55% 4.85%
brand Brand
-21.20 46.94% 6.93% 7.22% 6.43%
braum Braum
-23.20 39.86% 2.29% 0.68% 2.27%
ryze Ryze
-25.71 48.49% 17.06% 7.63% 15.76%
irelia Irelia
-27.37 45.34% 5.87% 3.40% 5.67%
nasus Nasus
-27.59 46.01% 6.93% 5.42% 6.55%
leeSin Lee Sin
-54.66 47.45% 21.44% 10.21% 19.25%

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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