Personalised Bans

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TOP DIAMOND BANS

vayne
#1 : VAYNE
Influence: 170
Win Rate: 54.43%
Pick Rate: 38.34%
jinx
#2 : JINX
Influence: 106
Win Rate: 55.16%
Pick Rate: 20.52%
masterYi
#3 : MASTER YI
Influence: 89
Win Rate: 56.21%
Pick Rate: 14.41%
lux
#4 : LUX (2)
Influence: 83
Win Rate: 54.17%
Pick Rate: 19.84%

riven
#5 : RIVEN (1)
Influence: 82
Win Rate: 55.00%
Pick Rate: 16.34%
kayle
#6 : KAYLE (1)
Influence: 72
Win Rate: 52.92%
Pick Rate: 24.75%
zed
#7 : ZED (1)
Influence: 69
Win Rate: 52.69%
Pick Rate: 25.61%
jax
#8 : JAX (1)
Influence: 65
Win Rate: 52.82%
Pick Rate: 23.24%

morgana
#9 : MORGANA (3)
Influence: 64
Win Rate: 51.73%
Pick Rate: 36.92%
draven
#10 : DRAVEN (3)
Influence: 60
Win Rate: 54.83%
Pick Rate: 12.33%
nami
#11 : NAMI
Influence: 46
Win Rate: 52.99%
Pick Rate: 15.39%
sona
#12 : SONA (2)
Influence: 43
Win Rate: 54.17%
Pick Rate: 10.31%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
vayne Vayne
169.75 54.43% 38.34% 32.68% 25.81%
jinx Jinx
105.88 55.16% 20.52% 3.80% 19.74%
masterYi Master Yi
89.48 56.21% 14.41% 25.06% 10.80%
lux Lux
82.67 54.17% 19.84% 4.62% 18.92%
riven Riven
81.60 55.00% 16.34% 23.14% 12.56%
kayle Kayle
72.33 52.92% 24.75% 31.75% 16.89%
zed Zed
68.83 52.69% 25.61% 48.18% 13.27%
jax Jax
65.43 52.82% 23.24% 36.14% 14.84%
morgana Morgana
63.95 51.73% 36.92% 42.77% 21.13%
draven Draven
59.58 54.83% 12.33% 26.66% 9.04%
nami Nami
46.05 52.99% 15.39% 2.19% 15.05%
sona Sona
42.96 54.17% 10.31% 1.43% 10.16%
soraka Soraka
33.98 53.23% 10.53% 4.43% 10.06%
ahri Ahri
33.67 52.55% 13.22% 5.64% 12.47%
tristana Tristana
32.78 52.94% 11.15% 1.21% 11.02%
ashe Ashe
30.29 53.32% 9.13% 0.70% 9.07%
jarvanIV Jarvan IV
29.14 51.70% 17.17% 6.04% 16.13%
khazix Khazix
29.02 52.88% 10.08% 7.56% 9.32%
talon Talon
28.73 55.68% 5.06% 2.83% 4.92%
fizz Fizz
26.75 53.23% 8.29% 9.20% 7.53%
twitch Twitch
24.76 53.04% 8.14% 1.88% 7.99%
urgot Urgot
23.56 52.78% 8.47% 6.89% 7.89%
taric Taric
23.16 59.18% 2.53% 0.24% 2.52%
vi Vi
22.52 51.72% 13.13% 5.97% 12.35%
thresh Thresh
22.26 50.88% 25.29% 16.38% 21.15%
janna Janna
21.37 53.20% 6.67% 0.60% 6.63%
kindred Kindred
18.90 55.64% 3.35% 0.95% 3.32%
missFortune Miss Fortune
18.77 51.97% 9.54% 2.14% 9.34%
velkoz Velkoz
18.02 52.08% 8.66% 2.27% 8.46%
ekko Ekko
17.39 52.85% 6.11% 1.65% 6.01%
olaf Olaf
17.37 53.65% 4.77% 1.84% 4.68%
blitzcrank Blitzcrank
17.35 51.55% 11.20% 18.73% 9.10%
evelynn Evelynn
16.82 53.29% 5.12% 7.53% 4.73%
shaco Shaco
16.71 53.98% 4.20% 3.12% 4.07%
heimerdinger Heimerdinger
16.44 56.38% 2.58% 1.07% 2.55%
pantheon Pantheon
16.14 52.65% 6.10% 4.09% 5.85%
udyr Udyr
15.65 51.55% 10.08% 10.15% 9.06%
vladimir Vladimir
14.80 50.95% 15.63% 25.85% 11.59%
leeSin Lee Sin
13.83 50.94% 14.72% 5.69% 13.88%
orianna Orianna
13.27 52.58% 5.15% 0.43% 5.13%
lissandra Lissandra
13.19 52.07% 6.36% 5.55% 6.01%
poppy Poppy
12.96 53.98% 3.26% 0.92% 3.23%
kassadin Kassadin
12.81 52.40% 5.34% 6.80% 4.98%
jhin Jhin
12.54 51.29% 9.75% 1.08% 9.64%
karma Karma
11.91 52.31% 5.16% 0.39% 5.14%
swain Swain
11.91 54.58% 2.60% 0.33% 2.59%
braum Braum
10.84 51.97% 5.50% 1.93% 5.39%
rekSai Rek'Sai
10.76 51.28% 8.44% 20.83% 6.68%
teemo Teemo
10.59 51.22% 8.70% 8.18% 7.99%
mordekaiser Mordekaiser
10.26 56.38% 1.61% 0.39% 1.60%
fiddlesticks Fiddlesticks
10.24 52.40% 4.27% 1.86% 4.19%
nidalee Nidalee
9.79 53.86% 2.54% 0.30% 2.53%
annie Annie
9.51 52.03% 4.69% 1.63% 4.61%
rumble Rumble
9.37 54.77% 1.96% 0.19% 1.96%
tryndamere Tryndamere
9.28 51.34% 6.92% 6.16% 6.49%
skarner Skarner
8.97 54.89% 1.84% 0.36% 1.83%
xinZhao Xin Zhao
8.60 51.30% 6.63% 4.14% 6.36%
malzahar Malzahar
8.53 51.35% 6.31% 6.14% 5.92%
hecarim Hecarim
7.44 51.10% 6.79% 2.84% 6.60%
quinn Quinn
7.29 53.36% 2.17% 0.60% 2.16%
zilean Zilean
6.71 51.45% 4.62% 1.87% 4.53%
karthus Karthus
6.57 51.69% 3.89% 4.60% 3.71%
taliyah Taliyah
6.36 52.91% 2.19% 0.25% 2.18%
gangplank Gangplank
6.24 51.67% 3.74% 0.61% 3.72%
chogath Cho'Gath
6.07 51.93% 3.15% 0.70% 3.13%
twistedFate Twisted Fate
5.60 51.50% 3.74% 0.15% 3.73%
rakan Rakan
5.42 51.62% 3.35% 0.21% 3.34%
rengar Rengar
5.35 50.60% 8.88% 5.61% 8.38%
leblanc Leblanc
4.97 50.53% 9.33% 13.91% 8.03%
kennen Kennen
4.79 51.20% 4.01% 1.86% 3.94%
bard Bard
4.69 51.23% 3.82% 0.37% 3.81%
anivia Anivia
3.33 51.02% 3.27% 1.51% 3.22%
corki Corki
3.18 51.03% 3.10% 0.32% 3.09%
aurelionSol Aurelionsol
3.15 53.71% 0.85% 0.29% 0.85%
ivern Ivern
2.82 51.34% 2.10% 0.52% 2.09%
camille Camille
2.77 51.10% 2.53% 1.33% 2.50%
monkeyKing Wukong
1.60 50.37% 4.39% 0.82% 4.35%
nocturne Nocturne
1.05 50.21% 4.93% 2.40% 4.81%
shyvana Shyvana
0.92 50.23% 3.99% 1.40% 3.93%
xerath Xerath
0.45 50.05% 9.02% 2.40% 8.80%
fiora Fiora
0.29 50.07% 4.52% 3.79% 4.35%
kogMaw Kog'Maw
0.02 50.01% 2.39% 0.23% 2.38%
katarina Katarina
0.00 50.00% 5.91% 3.09% 5.73%
varus Varus
-0.10 49.97% 3.38% 0.23% 3.37%
singed Singed
-0.54 49.80% 2.68% 0.43% 2.67%
elise Elise
-0.70 49.81% 3.62% 0.88% 3.59%
gnar Gnar
-1.01 49.58% 2.43% 0.41% 2.42%
sivir Sivir
-1.21 49.91% 13.03% 3.55% 12.57%
nautilus Nautilus
-1.36 49.75% 5.38% 0.44% 5.36%
lulu Lulu
-1.76 49.80% 8.57% 2.19% 8.38%
sion Sion
-1.89 49.48% 3.65% 0.62% 3.63%
amumu Amumu
-2.30 49.40% 3.81% 0.66% 3.78%
volibear Volibear
-2.47 49.28% 3.44% 0.53% 3.42%
nunu Nunu
-2.81 49.53% 5.95% 3.54% 5.74%
xayah Xayah
-2.98 49.55% 6.55% 0.66% 6.51%
kled Kled
-4.24 48.76% 3.41% 1.65% 3.35%
kalista Kalista
-4.38 48.34% 2.64% 0.35% 2.63%
jayce Jayce
-4.56 49.15% 5.33% 3.73% 5.13%
cassiopeia Cassiopeia
-4.62 47.43% 1.79% 0.74% 1.78%
graves Graves
-4.88 49.08% 5.30% 1.55% 5.22%
aatrox Aatrox
-5.04 48.31% 2.98% 3.38% 2.88%
illaoi Illaoi
-5.53 48.82% 4.67% 6.76% 4.35%
azir Azir
-5.64 47.37% 2.15% 0.39% 2.14%
brand Brand
-5.94 49.43% 10.33% 17.14% 8.56%
gragas Gragas
-6.15 47.84% 2.84% 0.15% 2.84%
diana Diana
-6.66 48.33% 3.99% 1.67% 3.92%
leona Leona
-6.98 49.19% 8.62% 5.37% 8.16%
nasus Nasus
-7.21 49.49% 14.00% 18.09% 11.47%
sejuani Sejuani
-7.27 48.17% 3.96% 0.88% 3.93%
trundle Trundle
-7.63 46.62% 2.27% 0.23% 2.26%
rammus Rammus
-8.93 48.27% 5.17% 5.60% 4.88%
maokai Maokai
-9.38 44.53% 1.71% 0.13% 1.71%
lucian Lucian
-11.21 49.46% 20.67% 11.37% 18.32%
warwick Warwick
-11.32 47.76% 5.04% 1.76% 4.95%
zac Zac
-12.84 44.86% 2.50% 0.35% 2.49%
syndra Syndra
-13.38 45.91% 3.27% 0.53% 3.25%
viktor Viktor
-13.77 44.86% 2.68% 0.32% 2.67%
ziggs Ziggs
-14.18 44.28% 2.48% 0.21% 2.47%
irelia Irelia
-14.27 48.88% 12.74% 9.80% 11.49%
zyra Zyra
-14.61 48.06% 7.53% 9.99% 6.78%
shen Shen
-14.64 46.34% 4.00% 0.20% 3.99%
yorick Yorick
-19.18 46.90% 6.19% 12.13% 5.44%
caitlyn Caitlyn
-19.72 48.93% 18.34% 7.92% 16.89%
darius Darius
-19.84 48.72% 15.44% 30.65% 10.71%
alistar Alistar
-20.47 46.44% 5.75% 3.40% 5.55%
malphite Malphite
-20.48 46.35% 5.62% 1.09% 5.56%
ryze Ryze
-21.04 44.82% 4.06% 0.51% 4.04%
tahmKench Tahm Kench
-21.94 41.22% 2.50% 0.69% 2.48%
garen Garen
-22.85 46.96% 7.52% 4.43% 7.19%
renekton Renekton
-23.46 47.19% 8.33% 7.84% 7.68%
drMundo Dr. Mundo
-27.24 37.24% 2.14% 0.83% 2.12%
galio Galio
-30.52 44.82% 5.88% 1.09% 5.82%
veigar Veigar
-31.93 46.45% 9.00% 4.32% 8.61%
yasuo Yasuo
-54.82 48.59% 38.96% 62.09% 14.77%
akali Akali
-67.24 42.22% 8.63% 7.00% 8.03%
ezreal Ezreal
-75.73 46.46% 21.41% 10.80% 19.10%

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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