Personalised Bans

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TOP DIAMOND BANS

jinx
#1 : JINX
Influence: 109
Win Rate: 54.55%
Pick Rate: 24.08%
darius
#2 : DARIUS (6)
Influence: 61
Win Rate: 53.54%
Pick Rate: 17.30%
jhin
#3 : JHIN (4)
Influence: 60
Win Rate: 53.30%
Pick Rate: 18.35%
masterYi
#4 : MASTER YI
Influence: 53
Win Rate: 54.03%
Pick Rate: 13.18%

khazix
#5 : KHAZIX
Influence: 53
Win Rate: 54.48%
Pick Rate: 11.77%
jax
#6 : JAX (3)
Influence: 51
Win Rate: 52.93%
Pick Rate: 17.46%
zed
#7 : ZED (5)
Influence: 50
Win Rate: 53.05%
Pick Rate: 16.33%
rengar
#8 : RENGAR (3)
Influence: 41
Win Rate: 55.06%
Pick Rate: 8.04%

nunu
#9 : NUNU (1)
Influence: 40
Win Rate: 55.55%
Pick Rate: 7.13%
janna
#10 : JANNA (1)
Influence: 36
Win Rate: 54.54%
Pick Rate: 7.99%
thresh
#11 : THRESH (5)
Influence: 35
Win Rate: 51.81%
Pick Rate: 19.52%
morgana
#12 : MORGANA (1)
Influence: 35
Win Rate: 51.45%
Pick Rate: 23.96%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
jinx Jinx
109.43 54.55% 24.08% 6.32% 22.56%
darius Darius
61.27 53.54% 17.30% 35.72% 11.12%
jhin Jhin
60.46 53.30% 18.35% 3.07% 17.79%
masterYi Master Yi
53.14 54.03% 13.18% 27.49% 9.56%
khazix Khazix
52.70 54.48% 11.77% 7.60% 10.88%
jax Jax
51.11 52.93% 17.46% 22.50% 13.53%
zed Zed
49.76 53.05% 16.33% 36.38% 10.39%
rengar Rengar
40.73 55.06% 8.04% 9.23% 7.30%
nunu Nunu
39.57 55.55% 7.13% 5.27% 6.75%
janna Janna
36.21 54.54% 7.99% 1.00% 7.91%
thresh Thresh
35.27 51.81% 19.52% 8.79% 17.80%
morgana Morgana
34.75 51.45% 23.96% 39.45% 14.51%
hecarim Hecarim
33.71 53.83% 8.81% 14.17% 7.56%
malphite Malphite
32.04 53.66% 8.76% 2.85% 8.51%
sona Sona
31.17 54.92% 6.33% 0.94% 6.27%
draven Draven
29.27 52.11% 13.90% 27.89% 10.02%
nami Nami
29.14 52.71% 10.77% 0.99% 10.66%
talon Talon
28.75 55.14% 5.60% 5.50% 5.29%
ekko Ekko
28.61 53.08% 9.31% 2.75% 9.05%
lux Lux
28.18 51.21% 23.39% 10.98% 20.82%
ashe Ashe
27.85 52.39% 11.66% 1.25% 11.51%
leona Leona
26.60 52.72% 9.77% 4.83% 9.30%
renekton Renekton
26.57 52.79% 9.53% 12.31% 8.36%
fizz Fizz
26.49 52.76% 9.61% 15.36% 8.13%
tristana Tristana
26.32 51.84% 14.30% 3.37% 13.82%
vayne Vayne
25.58 51.64% 15.64% 8.65% 14.29%
vi Vi
25.15 53.13% 8.05% 3.67% 7.75%
velkoz Velkoz
24.83 53.36% 7.39% 1.70% 7.26%
soraka Soraka
22.61 53.06% 7.39% 2.10% 7.23%
swain Swain
22.03 54.01% 5.49% 1.25% 5.42%
xayah Xayah
21.92 52.37% 9.27% 1.33% 9.15%
teemo Teemo
21.84 52.72% 8.02% 7.95% 7.38%
ziggs Ziggs
20.64 57.86% 2.63% 0.27% 2.62%
mordekaiser Mordekaiser
19.61 51.50% 13.05% 25.12% 9.77%
kled Kled
19.43 53.40% 5.72% 11.06% 5.09%
karthus Karthus
18.41 54.49% 4.11% 3.05% 3.98%
twitch Twitch
18.33 52.49% 7.36% 1.78% 7.23%
blitzcrank Blitzcrank
18.09 51.88% 9.62% 15.91% 8.09%
kindred Kindred
18.01 55.42% 3.33% 1.14% 3.29%
brand Brand
17.52 51.80% 9.75% 10.24% 8.75%
syndra Syndra
16.71 52.86% 5.84% 1.73% 5.74%
elise Elise
14.34 53.21% 4.47% 2.41% 4.36%
garen Garen
14.22 51.27% 11.22% 5.16% 10.64%
akali Akali
14.20 50.72% 19.65% 24.64% 14.81%
olaf Olaf
12.94 53.88% 3.34% 1.30% 3.30%
nocturne Nocturne
12.32 52.57% 4.80% 1.33% 4.74%
kennen Kennen
12.07 53.13% 3.86% 2.19% 3.78%
graves Graves
11.97 52.76% 4.35% 0.65% 4.32%
anivia Anivia
11.36 53.78% 3.01% 1.34% 2.97%
veigar Veigar
10.91 51.33% 8.20% 3.19% 7.94%
zilean Zilean
10.66 52.74% 3.89% 1.31% 3.84%
katarina Katarina
10.56 51.18% 8.99% 7.39% 8.33%
gangplank Gangplank
9.96 52.11% 4.73% 1.04% 4.68%
rakan Rakan
9.64 51.78% 5.43% 0.54% 5.40%
poppy Poppy
9.40 52.50% 3.75% 1.19% 3.71%
cassiopeia Cassiopeia
9.30 53.67% 2.53% 0.94% 2.51%
yasuo Yasuo
8.46 50.26% 33.17% 44.92% 18.27%
malzahar Malzahar
8.39 51.29% 6.50% 9.71% 5.87%
zyra Zyra
7.78 51.23% 6.31% 4.34% 6.04%
shyvana Shyvana
7.33 52.57% 2.85% 0.49% 2.84%
quinn Quinn
6.49 53.03% 2.14% 0.65% 2.13%
rumble Rumble
5.71 51.85% 3.09% 0.59% 3.07%
sivir Sivir
5.62 50.60% 9.40% 8.23% 8.63%
rekSai Rek'Sai
5.49 52.41% 2.27% 1.07% 2.25%
ahri Ahri
5.30 50.47% 11.40% 7.35% 10.56%
singed Singed
5.30 51.70% 3.12% 0.62% 3.10%
taric Taric
5.05 52.23% 2.27% 0.40% 2.26%
taliyah Taliyah
4.78 52.60% 1.84% 0.22% 1.84%
zac Zac
4.24 51.30% 3.26% 0.74% 3.24%
kogMaw Kog'Maw
4.08 52.66% 1.53% 0.15% 1.53%
shaco Shaco
3.80 51.00% 3.79% 2.02% 3.71%
heimerdinger Heimerdinger
3.69 51.82% 2.03% 0.80% 2.01%
annie Annie
3.36 51.08% 3.13% 1.27% 3.09%
skarner Skarner
3.33 53.09% 1.08% 0.19% 1.08%
sion Sion
2.51 51.01% 2.49% 0.22% 2.48%
udyr Udyr
2.25 50.35% 6.47% 5.20% 6.13%
nidalee Nidalee
2.10 50.62% 3.38% 0.57% 3.36%
alistar Alistar
1.89 50.48% 3.92% 1.22% 3.87%
caitlyn Caitlyn
1.67 50.07% 25.71% 14.68% 21.94%
urgot Urgot
1.64 50.39% 4.18% 2.70% 4.07%
tryndamere Tryndamere
1.53 50.16% 9.55% 11.30% 8.47%
volibear Volibear
1.21 50.17% 7.23% 2.96% 7.02%
bard Bard
0.00 50.00% 5.43% 0.66% 5.39%
shen Shen
-0.86 49.88% 6.90% 0.53% 6.86%
ivern Ivern
-0.96 49.09% 1.05% 0.29% 1.05%
lissandra Lissandra
-1.12 49.31% 1.61% 0.52% 1.60%
trundle Trundle
-1.32 49.33% 1.96% 0.23% 1.96%
monkeyKing Wukong
-1.41 49.44% 2.51% 0.29% 2.50%
vladimir Vladimir
-1.76 49.79% 8.50% 13.99% 7.31%
gragas Gragas
-2.46 49.43% 4.31% 0.33% 4.30%
xinZhao Xin Zhao
-2.50 49.40% 4.13% 1.24% 4.08%
kayle Kayle
-2.54 49.30% 3.61% 1.23% 3.57%
nautilus Nautilus
-2.60 49.80% 12.67% 14.62% 10.82%
kassadin Kassadin
-2.72 49.49% 5.37% 5.36% 5.08%
yorick Yorick
-3.83 48.74% 3.04% 1.70% 2.99%
lulu Lulu
-3.84 49.35% 5.93% 1.15% 5.86%
aurelionSol Aurelionsol
-3.93 45.37% 0.85% 0.34% 0.85%
twistedFate Twisted Fate
-4.17 48.62% 3.03% 0.13% 3.03%
kalista Kalista
-4.30 45.86% 1.04% 0.16% 1.04%
braum Braum
-4.72 48.79% 3.88% 1.09% 3.84%
galio Galio
-5.21 46.16% 1.35% 0.15% 1.35%
tahmKench Tahm Kench
-5.61 46.88% 1.79% 3.00% 1.74%
jayce Jayce
-5.80 47.13% 2.02% 0.65% 2.01%
karma Karma
-5.98 49.12% 6.82% 1.48% 6.72%
illaoi Illaoi
-6.90 48.79% 5.68% 13.06% 4.94%
nasus Nasus
-7.05 49.21% 8.89% 9.57% 8.04%
riven Riven
-7.12 49.10% 7.94% 8.17% 7.29%
leblanc Leblanc
-7.16 48.55% 4.93% 5.47% 4.66%
missFortune Miss Fortune
-7.35 49.02% 7.49% 1.12% 7.41%
evelynn Evelynn
-7.49 48.83% 6.41% 13.17% 5.57%
chogath Cho'Gath
-7.55 48.34% 4.54% 1.23% 4.48%
maokai Maokai
-7.67 44.55% 1.41% 0.09% 1.41%
fiora Fiora
-7.96 48.88% 7.07% 5.99% 6.65%
leeSin Lee Sin
-8.18 49.34% 12.40% 5.54% 11.71%
amumu Amumu
-8.41 48.60% 6.00% 2.11% 5.87%
fiddlesticks Fiddlesticks
-9.93 47.54% 4.03% 1.52% 3.97%
diana Diana
-9.96 48.29% 5.80% 4.02% 5.57%
gnar Gnar
-9.96 46.40% 2.77% 0.67% 2.75%
camille Camille
-10.29 47.50% 4.11% 1.27% 4.06%
warwick Warwick
-10.57 48.54% 7.25% 2.33% 7.08%
orianna Orianna
-10.60 47.05% 3.58% 0.36% 3.57%
jarvanIV Jarvan IV
-10.79 48.93% 10.11% 3.56% 9.75%
corki Corki
-11.10 45.61% 2.53% 0.70% 2.51%
viktor Viktor
-11.12 44.35% 1.96% 0.17% 1.96%
azir Azir
-13.90 44.22% 2.40% 0.98% 2.38%
drMundo Dr. Mundo
-14.87 47.10% 5.12% 1.95% 5.02%
lucian Lucian
-15.35 48.67% 11.52% 1.50% 11.35%
ryze Ryze
-15.55 46.18% 4.07% 0.70% 4.04%
xerath Xerath
-17.12 47.55% 6.99% 1.88% 6.86%
varus Varus
-17.18 46.23% 4.55% 0.30% 4.54%
irelia Irelia
-19.30 47.63% 8.15% 5.66% 7.69%
sejuani Sejuani
-21.47 44.82% 4.14% 2.17% 4.05%
aatrox Aatrox
-25.15 47.93% 12.13% 22.24% 9.43%
rammus Rammus
-26.82 44.04% 4.50% 7.84% 4.15%
ezreal Ezreal
-48.40 47.50% 19.38% 8.27% 17.78%
pantheon Pantheon
-179.54 45.28% 38.00% 27.43% 27.58%

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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