Personalised Bans

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TOP DIAMOND BANS

janna
#1 : JANNA
Influence: 327
Win Rate: 57.46%
Pick Rate: 43.88%
draven
#2 : DRAVEN
Influence: 118
Win Rate: 56.35%
Pick Rate: 18.52%
tristana
#3 : TRISTANA (1)
Influence: 91
Win Rate: 52.10%
Pick Rate: 43.31%
twitch
#4 : TWITCH (1)
Influence: 83
Win Rate: 52.96%
Pick Rate: 28.03%

soraka
#5 : SORAKA
Influence: 62
Win Rate: 54.58%
Pick Rate: 13.60%
vayne
#6 : VAYNE (3)
Influence: 54
Win Rate: 52.04%
Pick Rate: 26.78%
chogath
#7 : CHO'GATH
Influence: 54
Win Rate: 52.55%
Pick Rate: 21.14%
yasuo
#8 : YASUO (3)
Influence: 52
Win Rate: 51.80%
Pick Rate: 28.64%

riven
#9 : RIVEN (3)
Influence: 50
Win Rate: 53.52%
Pick Rate: 14.22%
maokai
#10 : MAOKAI (4)
Influence: 47
Win Rate: 52.79%
Pick Rate: 16.92%
malzahar
#11 : MALZAHAR (4)
Influence: 47
Win Rate: 54.40%
Pick Rate: 10.58%
warwick
#12 : WARWICK (4)
Influence: 46
Win Rate: 53.65%
Pick Rate: 12.62%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
327.39 57.46% 43.88% 42.18% 25.37%
draven Draven
117.59 56.35% 18.52% 40.92% 10.94%
tristana Tristana
90.97 52.10% 43.31% 23.16% 33.28%
twitch Twitch
83.03 52.96% 28.03% 27.90% 20.21%
soraka Soraka
62.30 54.58% 13.60% 5.86% 12.80%
vayne Vayne
54.49 52.04% 26.78% 15.31% 22.68%
chogath Cho'Gath
54.02 52.55% 21.14% 61.25% 8.19%
yasuo Yasuo
51.54 51.80% 28.64% 50.31% 14.23%
riven Riven
50.10 53.52% 14.22% 7.79% 13.11%
maokai Maokai
47.15 52.79% 16.92% 29.50% 11.93%
malzahar Malzahar
46.51 54.40% 10.58% 11.73% 9.34%
warwick Warwick
46.10 53.65% 12.62% 12.51% 11.04%
pantheon Pantheon
41.53 57.61% 5.45% 4.66% 5.20%
sona Sona
40.38 53.82% 10.57% 0.78% 10.49%
gangplank Gangplank
33.79 54.39% 7.69% 1.43% 7.58%
masterYi Master Yi
30.39 52.19% 13.86% 19.84% 11.11%
sejuani Sejuani
29.55 53.26% 9.08% 10.55% 8.12%
jarvanIV Jarvan IV
29.19 52.38% 12.27% 2.58% 11.95%
kassadin Kassadin
27.77 53.64% 7.63% 12.50% 6.68%
katarina Katarina
27.62 53.65% 7.57% 12.91% 6.59%
twistedFate Twisted Fate
26.51 53.35% 7.90% 0.50% 7.86%
xayah Xayah
25.96 52.15% 12.08% 6.73% 11.27%
vladimir Vladimir
25.84 53.60% 7.18% 5.85% 6.76%
anivia Anivia
23.79 54.74% 5.02% 2.04% 4.92%
rammus Rammus
23.05 53.63% 6.34% 3.35% 6.13%
khazix Khazix
21.51 52.45% 8.80% 4.38% 8.41%
fizz Fizz
20.74 52.22% 9.36% 21.91% 7.31%
heimerdinger Heimerdinger
19.31 56.69% 2.88% 0.85% 2.86%
lux Lux
19.24 51.51% 12.74% 1.46% 12.55%
tryndamere Tryndamere
19.22 52.26% 8.51% 9.99% 7.66%
talon Talon
18.72 53.50% 5.36% 4.83% 5.10%
ekko Ekko
18.57 52.03% 9.14% 4.39% 8.74%
rengar Rengar
17.34 54.97% 3.48% 0.99% 3.45%
monkeyKing Wukong
16.93 53.45% 4.92% 0.74% 4.88%
jinx Jinx
16.50 51.03% 15.94% 1.07% 15.77%
shaco Shaco
15.94 53.41% 4.67% 1.94% 4.58%
vi Vi
15.51 52.49% 6.22% 1.00% 6.16%
zed Zed
14.89 50.80% 18.66% 40.85% 11.04%
rumble Rumble
14.46 54.45% 3.25% 0.30% 3.24%
bard Bard
13.88 52.23% 6.22% 0.63% 6.18%
kled Kled
13.21 53.91% 3.38% 2.33% 3.30%
gragas Gragas
11.58 50.86% 13.47% 3.54% 12.99%
yorick Yorick
10.60 54.30% 2.47% 0.84% 2.45%
kayle Kayle
10.29 52.01% 5.10% 1.62% 5.02%
shyvana Shyvana
10.19 52.00% 5.11% 0.71% 5.07%
annie Annie
9.88 51.50% 6.59% 3.42% 6.36%
blitzcrank Blitzcrank
8.95 50.46% 19.56% 26.52% 14.37%
diana Diana
8.87 51.56% 5.70% 3.00% 5.53%
jax Jax
8.84 50.60% 14.73% 8.78% 13.44%
fiddlesticks Fiddlesticks
8.75 52.86% 3.06% 0.37% 3.05%
leblanc Leblanc
8.75 52.36% 3.71% 5.75% 3.50%
missFortune Miss Fortune
8.65 50.81% 10.68% 1.89% 10.48%
xinZhao Xin Zhao
8.57 51.47% 5.84% 1.50% 5.75%
nunu Nunu
8.42 53.80% 2.22% 0.33% 2.21%
jayce Jayce
8.31 51.46% 5.70% 3.31% 5.51%
aurelionSol Aurelionsol
7.86 54.86% 1.62% 0.61% 1.61%
swain Swain
7.32 52.32% 3.15% 0.71% 3.13%
leona Leona
7.28 50.85% 8.55% 2.22% 8.36%
rekSai Rek'Sai
7.24 52.69% 2.69% 0.43% 2.68%
nocturne Nocturne
6.33 51.69% 3.76% 0.67% 3.73%
veigar Veigar
6.32 50.72% 8.79% 1.80% 8.63%
nidalee Nidalee
6.11 51.76% 3.47% 0.33% 3.46%
aatrox Aatrox
6.01 55.43% 1.11% 0.96% 1.10%
teemo Teemo
5.85 50.82% 7.13% 4.50% 6.81%
fiora Fiora
5.83 50.79% 7.34% 22.45% 5.69%
sion Sion
4.80 51.03% 4.69% 0.35% 4.67%
xerath Xerath
4.64 51.27% 3.65% 0.38% 3.64%
ivern Ivern
4.42 53.38% 1.31% 0.48% 1.30%
singed Singed
4.15 51.62% 2.57% 0.61% 2.55%
taric Taric
3.65 50.70% 5.25% 0.47% 5.23%
kalista Kalista
3.49 50.53% 6.61% 0.96% 6.55%
poppy Poppy
3.38 50.93% 3.63% 0.24% 3.62%
skarner Skarner
3.24 53.19% 1.02% 0.09% 1.02%
ziggs Ziggs
3.15 50.56% 5.58% 0.47% 5.55%
evelynn Evelynn
3.14 50.91% 3.43% 2.13% 3.36%
drMundo Dr. Mundo
3.13 50.91% 3.42% 1.17% 3.38%
zilean Zilean
3.13 51.10% 2.85% 0.28% 2.84%
karthus Karthus
2.72 51.57% 1.73% 0.17% 1.73%
ahri Ahri
2.54 50.17% 14.52% 6.88% 13.52%
lulu Lulu
2.05 50.09% 21.60% 21.71% 16.91%
amumu Amumu
2.01 50.38% 5.25% 1.14% 5.19%
irelia Irelia
1.94 50.35% 5.54% 2.07% 5.43%
mordekaiser Mordekaiser
1.94 51.03% 1.88% 0.42% 1.87%
alistar Alistar
1.32 50.21% 6.28% 1.00% 6.22%
tahmKench Tahm Kench
1.16 50.46% 2.53% 0.78% 2.51%
hecarim Hecarim
0.98 50.25% 3.85% 0.85% 3.82%
nami Nami
0.00 50.00% 10.09% 0.30% 10.06%
ashe Ashe
-0.14 49.98% 9.59% 0.51% 9.54%
udyr Udyr
-0.36 49.74% 1.39% 0.11% 1.39%
syndra Syndra
-1.21 49.85% 7.96% 7.16% 7.39%
taliyah Taliyah
-1.22 49.72% 4.27% 0.57% 4.25%
rakan Rakan
-1.69 49.83% 10.08% 2.28% 9.85%
kogMaw Kog'Maw
-2.03 49.64% 5.67% 2.18% 5.55%
quinn Quinn
-2.61 48.64% 1.92% 0.37% 1.91%
kennen Kennen
-2.94 49.07% 3.17% 0.78% 3.15%
sivir Sivir
-2.96 49.67% 8.98% 0.58% 8.93%
cassiopeia Cassiopeia
-3.10 49.33% 4.59% 2.05% 4.50%
illaoi Illaoi
-3.45 48.66% 2.58% 4.20% 2.47%
kindred Kindred
-4.20 47.58% 1.73% 0.17% 1.73%
elise Elise
-5.54 48.95% 5.29% 2.23% 5.17%
velkoz Velkoz
-5.70 49.04% 5.93% 0.57% 5.90%
zyra Zyra
-5.74 48.66% 4.30% 1.23% 4.25%
corki Corki
-6.37 48.51% 4.28% 0.87% 4.24%
camille Camille
-7.16 47.92% 3.44% 2.58% 3.35%
malphite Malphite
-8.32 48.52% 5.63% 1.08% 5.57%
olaf Olaf
-8.42 47.07% 2.87% 0.45% 2.86%
akali Akali
-9.10 48.40% 5.69% 8.65% 5.20%
trundle Trundle
-9.17 47.48% 3.63% 0.39% 3.62%
brand Brand
-10.30 48.90% 9.41% 5.08% 8.93%
zac Zac
-10.88 48.38% 6.70% 28.36% 4.80%
lissandra Lissandra
-11.20 44.46% 2.01% 0.21% 2.01%
ryze Ryze
-11.28 42.30% 1.46% 0.13% 1.46%
varus Varus
-11.54 47.59% 4.79% 0.14% 4.78%
shen Shen
-11.60 48.03% 5.90% 0.43% 5.87%
braum Braum
-12.06 48.45% 7.78% 2.80% 7.56%
graves Graves
-12.21 45.16% 2.53% 0.24% 2.52%
morgana Morgana
-13.85 48.76% 11.12% 5.01% 10.56%
viktor Viktor
-14.97 46.09% 3.83% 0.22% 3.82%
darius Darius
-16.28 48.65% 12.08% 34.69% 7.89%
renekton Renekton
-17.58 47.96% 8.63% 3.94% 8.29%
azir Azir
-18.47 43.30% 2.75% 0.51% 2.74%
volibear Volibear
-18.94 41.29% 2.17% 0.21% 2.17%
galio Galio
-19.06 45.41% 4.15% 2.40% 4.05%
nautilus Nautilus
-20.71 44.75% 3.95% 0.29% 3.94%
thresh Thresh
-23.87 49.10% 26.68% 12.85% 23.25%
orianna Orianna
-25.59 48.09% 13.38% 5.76% 12.61%
gnar Gnar
-27.75 46.76% 8.57% 3.62% 8.26%
urgot Urgot
-28.22 44.54% 5.17% 13.91% 4.45%
ezreal Ezreal
-33.95 44.14% 5.80% 0.65% 5.76%
leeSin Lee Sin
-35.76 48.05% 18.36% 8.60% 16.78%
jhin Jhin
-36.83 47.68% 15.89% 2.83% 15.44%
nasus Nasus
-39.32 46.95% 12.90% 25.89% 9.56%
karma Karma
-39.60 43.92% 6.51% 0.31% 6.49%
caitlyn Caitlyn
-46.03 46.73% 14.05% 13.97% 12.09%
garen Garen
-48.15 43.19% 7.08% 3.05% 6.86%
lucian Lucian
-58.75 46.18% 15.38% 1.50% 15.15%

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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