Personalised Bans

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TOP DIAMOND BANS

janna
#1 : JANNA
Influence: 242
Win Rate: 56.66%
Pick Rate: 36.32%
draven
#2 : DRAVEN
Influence: 122
Win Rate: 55.98%
Pick Rate: 20.31%
twitch
#3 : TWITCH (1)
Influence: 75
Win Rate: 52.98%
Pick Rate: 25.35%
yasuo
#4 : YASUO (4)
Influence: 67
Win Rate: 52.70%
Pick Rate: 24.97%

tristana
#5 : TRISTANA (2)
Influence: 67
Win Rate: 51.69%
Pick Rate: 39.65%
soraka
#6 : SORAKA
Influence: 61
Win Rate: 54.69%
Pick Rate: 12.99%
maokai
#7 : MAOKAI (5)
Influence: 52
Win Rate: 52.18%
Pick Rate: 23.85%
sona
#8 : SONA (3)
Influence: 52
Win Rate: 53.55%
Pick Rate: 14.64%

riven
#9 : RIVEN (6)
Influence: 50
Win Rate: 53.54%
Pick Rate: 14.07%
malzahar
#10 : MALZAHAR (4)
Influence: 49
Win Rate: 54.12%
Pick Rate: 11.90%
rammus
#11 : RAMMUS
Influence: 46
Win Rate: 56.48%
Pick Rate: 7.16%
twistedFate
#12 : TWISTED FATE (1)
Influence: 42
Win Rate: 54.85%
Pick Rate: 8.70%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
241.85 56.66% 36.32% 32.63% 24.47%
draven Draven
121.61 55.98% 20.31% 47.72% 10.62%
twitch Twitch
75.46 52.98% 25.35% 19.36% 20.44%
yasuo Yasuo
67.49 52.70% 24.97% 44.42% 13.88%
tristana Tristana
66.83 51.69% 39.65% 22.10% 30.89%
soraka Soraka
60.95 54.69% 12.99% 6.26% 12.18%
maokai Maokai
52.03 52.18% 23.85% 48.55% 12.27%
sona Sona
52.02 53.55% 14.64% 1.85% 14.37%
riven Riven
49.81 53.54% 14.07% 7.91% 12.96%
malzahar Malzahar
49.03 54.12% 11.90% 14.63% 10.16%
rammus Rammus
46.42 56.48% 7.16% 5.84% 6.74%
twistedFate Twisted Fate
42.19 54.85% 8.70% 0.66% 8.64%
pantheon Pantheon
41.63 56.31% 6.60% 8.63% 6.03%
teemo Teemo
37.51 54.78% 7.84% 5.36% 7.42%
jinx Jinx
36.21 52.35% 15.41% 0.98% 15.26%
annie Annie
34.60 54.09% 8.47% 6.21% 7.94%
ahri Ahri
34.30 52.50% 13.72% 6.59% 12.82%
sejuani Sejuani
32.10 53.31% 9.70% 10.71% 8.66%
vayne Vayne
31.92 51.38% 23.06% 8.44% 21.11%
khazix Khazix
30.70 53.76% 8.16% 4.16% 7.82%
ekko Ekko
29.75 53.04% 9.79% 4.67% 9.33%
katarina Katarina
29.47 54.79% 6.16% 6.99% 5.73%
sion Sion
27.93 55.20% 5.37% 0.35% 5.35%
shyvana Shyvana
27.69 54.69% 5.90% 0.92% 5.85%
talon Talon
26.15 54.80% 5.44% 5.20% 5.16%
bard Bard
25.73 53.86% 6.66% 0.81% 6.61%
chogath Cho'Gath
25.56 51.02% 25.18% 67.19% 8.26%
garen Garen
25.31 53.13% 8.08% 3.41% 7.80%
anivia Anivia
24.31 54.58% 5.32% 2.94% 5.16%
singed Singed
23.61 56.97% 3.38% 1.30% 3.34%
amumu Amumu
23.27 54.41% 5.28% 1.33% 5.21%
jayce Jayce
22.52 53.80% 5.93% 3.26% 5.74%
zyra Zyra
21.32 54.84% 4.41% 1.64% 4.34%
monkeyKing Wukong
21.28 54.11% 5.18% 1.07% 5.12%
jax Jax
20.58 51.43% 14.33% 7.77% 13.22%
swain Swain
20.36 55.20% 3.92% 0.94% 3.88%
warwick Warwick
20.05 51.40% 14.35% 17.20% 11.88%
zed Zed
18.85 51.25% 15.08% 32.95% 10.11%
vi Vi
18.00 52.82% 6.39% 1.20% 6.31%
alistar Alistar
17.37 52.50% 6.95% 1.44% 6.85%
kogMaw Kog'Maw
17.34 53.31% 5.25% 0.88% 5.20%
diana Diana
16.57 52.88% 5.75% 2.10% 5.63%
fiddlesticks Fiddlesticks
16.47 55.19% 3.17% 0.47% 3.16%
vladimir Vladimir
15.65 52.35% 6.65% 4.42% 6.36%
sivir Sivir
15.58 51.65% 9.43% 0.69% 9.36%
nocturne Nocturne
13.20 54.34% 3.04% 0.30% 3.03%
kalista Kalista
11.86 52.31% 5.13% 0.63% 5.10%
rakan Rakan
11.02 51.32% 8.35% 1.81% 8.20%
blitzcrank Blitzcrank
10.64 50.48% 22.05% 39.31% 13.38%
varus Varus
10.36 51.94% 5.33% 0.16% 5.32%
shaco Shaco
10.23 52.69% 3.80% 1.61% 3.74%
gnar Gnar
9.49 51.33% 7.14% 2.06% 6.99%
velkoz Velkoz
9.25 51.83% 5.06% 0.49% 5.04%
viktor Viktor
8.57 52.03% 4.22% 0.36% 4.20%
aatrox Aatrox
8.38 56.71% 1.25% 1.34% 1.23%
kennen Kennen
8.25 52.92% 2.82% 0.68% 2.80%
kled Kled
8.00 52.51% 3.19% 1.68% 3.14%
rekSai Rek'Sai
7.86 52.32% 3.38% 0.88% 3.35%
mordekaiser Mordekaiser
7.55 53.48% 2.17% 0.41% 2.16%
poppy Poppy
6.80 51.98% 3.43% 0.25% 3.42%
akali Akali
6.73 51.06% 6.32% 10.43% 5.66%
fizz Fizz
6.28 50.63% 9.93% 23.49% 7.60%
masterYi Master Yi
6.13 50.45% 13.63% 21.51% 10.70%
aurelionSol Aurelionsol
6.09 53.07% 1.98% 0.60% 1.97%
karthus Karthus
6.01 53.19% 1.88% 0.19% 1.88%
darius Darius
5.69 50.43% 13.31% 33.59% 8.84%
olaf Olaf
5.64 52.12% 2.66% 0.45% 2.65%
quinn Quinn
5.50 52.76% 1.99% 0.39% 1.98%
camille Camille
5.46 51.68% 3.25% 2.17% 3.18%
volibear Volibear
4.63 51.74% 2.67% 0.30% 2.66%
missFortune Miss Fortune
4.61 50.43% 10.66% 1.86% 10.46%
gragas Gragas
4.34 50.36% 11.98% 3.57% 11.55%
tryndamere Tryndamere
4.08 50.50% 8.16% 8.73% 7.45%
xerath Xerath
3.49 51.05% 3.31% 0.44% 3.30%
drMundo Dr. Mundo
2.70 50.54% 4.96% 1.91% 4.87%
brand Brand
2.69 50.25% 10.97% 6.94% 10.21%
udyr Udyr
2.42 51.28% 1.89% 0.18% 1.89%
jarvanIV Jarvan IV
2.13 50.14% 14.92% 4.69% 14.22%
irelia Irelia
1.78 50.37% 4.81% 1.34% 4.75%
nidalee Nidalee
1.76 50.59% 2.98% 0.20% 2.97%
kayle Kayle
1.72 50.38% 4.53% 1.50% 4.46%
lissandra Lissandra
1.48 50.79% 1.87% 0.19% 1.87%
ivern Ivern
1.23 50.92% 1.33% 0.71% 1.32%
malphite Malphite
1.14 50.21% 5.44% 1.22% 5.37%
xinZhao Xin Zhao
1.01 50.16% 6.35% 1.68% 6.24%
leblanc Leblanc
0.88 50.26% 3.38% 4.50% 3.23%
ryze Ryze
0.77 50.54% 1.42% 0.16% 1.42%
xayah Xayah
0.70 50.07% 10.05% 4.05% 9.64%
nunu Nunu
0.08 50.03% 2.81% 0.59% 2.79%
cassiopeia Cassiopeia
-0.25 49.93% 3.42% 1.16% 3.38%
ashe Ashe
-0.51 49.95% 10.10% 0.54% 10.05%
graves Graves
-1.33 49.66% 3.91% 0.60% 3.89%
lulu Lulu
-1.50 49.89% 14.25% 7.45% 13.19%
taric Taric
-1.50 49.75% 5.93% 0.84% 5.88%
kindred Kindred
-1.61 49.16% 1.91% 0.20% 1.91%
skarner Skarner
-2.17 47.97% 1.07% 0.07% 1.07%
tahmKench Tahm Kench
-2.30 49.15% 2.70% 0.89% 2.68%
ziggs Ziggs
-2.61 49.57% 6.00% 0.52% 5.97%
rengar Rengar
-2.96 49.02% 3.02% 0.69% 3.00%
azir Azir
-3.08 48.64% 2.27% 0.45% 2.26%
evelynn Evelynn
-3.67 48.81% 3.09% 3.14% 2.99%
rumble Rumble
-3.93 48.97% 3.84% 0.41% 3.82%
heimerdinger Heimerdinger
-5.10 48.27% 2.95% 0.95% 2.92%
lucian Lucian
-7.07 49.55% 15.71% 1.76% 15.43%
corki Corki
-7.27 48.50% 4.85% 0.83% 4.81%
nasus Nasus
-7.96 49.44% 14.13% 29.04% 10.03%
trundle Trundle
-8.48 47.88% 4.00% 0.38% 3.98%
kassadin Kassadin
-9.07 48.72% 7.06% 10.61% 6.31%
hecarim Hecarim
-9.66 47.68% 4.16% 1.16% 4.11%
zilean Zilean
-9.86 46.56% 2.86% 0.46% 2.85%
fiora Fiora
-9.98 48.35% 6.06% 12.83% 5.28%
taliyah Taliyah
-10.16 47.85% 4.73% 0.79% 4.69%
zac Zac
-11.76 48.29% 6.89% 35.14% 4.47%
shen Shen
-12.90 47.74% 5.70% 0.43% 5.68%
lux Lux
-12.94 49.01% 13.11% 2.00% 12.85%
nautilus Nautilus
-13.67 46.86% 4.35% 0.43% 4.33%
gangplank Gangplank
-14.07 47.99% 7.00% 1.31% 6.91%
galio Galio
-15.51 46.93% 5.06% 3.54% 4.88%
elise Elise
-16.70 46.43% 4.68% 1.91% 4.59%
yorick Yorick
-16.80 43.92% 2.76% 1.26% 2.73%
illaoi Illaoi
-17.90 43.43% 2.72% 3.36% 2.63%
nami Nami
-21.02 47.99% 10.44% 0.37% 10.40%
renekton Renekton
-21.37 47.66% 9.15% 4.23% 8.76%
morgana Morgana
-21.51 48.03% 10.89% 4.60% 10.39%
syndra Syndra
-21.56 46.92% 7.00% 5.55% 6.61%
leona Leona
-22.49 47.12% 7.82% 1.88% 7.67%
veigar Veigar
-23.05 47.34% 8.66% 2.42% 8.45%
braum Braum
-23.47 46.68% 7.07% 2.24% 6.91%
karma Karma
-26.44 45.51% 5.89% 0.36% 5.87%
ezreal Ezreal
-27.74 45.48% 6.13% 0.63% 6.09%
urgot Urgot
-33.13 44.51% 6.04% 12.10% 5.31%
orianna Orianna
-36.41 46.88% 11.67% 4.85% 11.10%
leeSin Lee Sin
-43.50 47.17% 15.34% 7.94% 14.12%
caitlyn Caitlyn
-44.55 47.13% 15.52% 18.19% 12.70%
jhin Jhin
-62.30 46.61% 18.41% 3.36% 17.79%
thresh Thresh
-62.53 47.47% 24.76% 11.67% 21.87%

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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