Personalised Bans

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TOP GOLD BANS

janna
#1 : JANNA
Influence: 172
Win Rate: 56.82%
Pick Rate: 25.22%
maokai
#2 : MAOKAI (2)
Influence: 73
Win Rate: 54.62%
Pick Rate: 15.89%
tristana
#3 : TRISTANA (1)
Influence: 68
Win Rate: 52.41%
Pick Rate: 28.06%
ahri
#4 : AHRI (1)
Influence: 61
Win Rate: 53.67%
Pick Rate: 16.67%

blitzcrank
#5 : BLITZCRANK (2)
Influence: 55
Win Rate: 52.64%
Pick Rate: 20.93%
sona
#6 : SONA (6)
Influence: 52
Win Rate: 57.50%
Pick Rate: 6.97%
missFortune
#7 : MISS FORTUNE (7)
Influence: 47
Win Rate: 53.85%
Pick Rate: 12.28%
malzahar
#8 : MALZAHAR (2)
Influence: 47
Win Rate: 54.74%
Pick Rate: 9.99%

jarvanIV
#9 : JARVAN IV (4)
Influence: 47
Win Rate: 53.17%
Pick Rate: 14.69%
twitch
#10 : TWITCH (4)
Influence: 46
Win Rate: 52.26%
Pick Rate: 20.52%
vayne
#11 : VAYNE (2)
Influence: 46
Win Rate: 51.10%
Pick Rate: 41.45%
draven
#12 : DRAVEN (4)
Influence: 42
Win Rate: 52.34%
Pick Rate: 18.11%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
171.90 56.82% 25.22% 11.73% 22.26%
maokai Maokai
73.43 54.62% 15.89% 27.29% 11.55%
tristana Tristana
67.64 52.41% 28.06% 9.67% 25.35%
ahri Ahri
61.19 53.67% 16.67% 8.56% 15.24%
blitzcrank Blitzcrank
55.22 52.64% 20.93% 18.21% 17.12%
sona Sona
52.33 57.50% 6.97% 0.35% 6.95%
missFortune Miss Fortune
47.36 53.85% 12.28% 2.28% 12.00%
malzahar Malzahar
47.32 54.74% 9.99% 13.74% 8.62%
jarvanIV Jarvan IV
46.50 53.17% 14.69% 5.97% 13.81%
twitch Twitch
46.38 52.26% 20.52% 14.57% 17.53%
vayne Vayne
45.71 51.10% 41.45% 43.72% 23.33%
draven Draven
42.47 52.34% 18.11% 40.19% 10.83%
taric Taric
37.86 56.22% 6.09% 0.52% 6.06%
rakan Rakan
33.52 53.38% 9.92% 3.06% 9.62%
soraka Soraka
32.98 53.70% 8.92% 1.95% 8.75%
masterYi Master Yi
32.97 52.46% 13.38% 19.16% 10.82%
sivir Sivir
30.17 54.18% 7.21% 0.46% 7.18%
lux Lux
30.08 52.27% 13.24% 1.79% 13.00%
warwick Warwick
30.00 52.44% 12.26% 10.55% 10.97%
xinZhao Xin Zhao
29.19 53.56% 8.18% 2.74% 7.96%
fizz Fizz
29.04 52.29% 12.69% 34.49% 8.31%
jinx Jinx
28.30 51.41% 20.10% 2.46% 19.61%
vi Vi
26.49 53.75% 7.05% 2.01% 6.91%
anivia Anivia
25.18 55.88% 4.28% 1.72% 4.21%
talon Talon
24.56 54.43% 5.54% 5.22% 5.25%
kayle Kayle
21.48 54.72% 4.56% 2.12% 4.46%
swain Swain
20.82 55.90% 3.54% 1.05% 3.50%
yorick Yorick
20.22 56.02% 3.35% 1.58% 3.30%
gangplank Gangplank
20.10 52.66% 7.54% 2.36% 7.36%
brand Brand
18.90 52.52% 7.51% 3.96% 7.21%
rammus Rammus
17.73 53.66% 4.84% 2.13% 4.74%
volibear Volibear
14.47 54.42% 3.28% 0.48% 3.26%
ziggs Ziggs
14.19 52.72% 5.22% 0.59% 5.19%
diana Diana
13.31 52.50% 5.32% 4.18% 5.10%
akali Akali
13.29 53.08% 4.32% 6.17% 4.05%
nasus Nasus
12.61 51.09% 11.52% 20.56% 9.15%
ekko Ekko
12.30 51.16% 10.62% 5.69% 10.02%
kennen Kennen
12.16 53.98% 3.05% 0.91% 3.02%
chogath Cho'Gath
12.06 50.96% 12.56% 37.27% 7.88%
pantheon Pantheon
11.93 51.69% 7.05% 6.55% 6.59%
garen Garen
11.77 51.16% 10.13% 5.82% 9.54%
sion Sion
11.64 52.60% 4.48% 0.37% 4.46%
mordekaiser Mordekaiser
11.33 53.54% 3.20% 1.42% 3.15%
shyvana Shyvana
11.33 52.28% 4.96% 0.79% 4.92%
leona Leona
11.15 51.00% 11.12% 5.58% 10.50%
tryndamere Tryndamere
11.15 51.90% 5.88% 4.10% 5.64%
karthus Karthus
10.52 58.43% 1.25% 0.19% 1.25%
morgana Morgana
10.41 50.87% 12.00% 5.40% 11.35%
zilean Zilean
9.11 53.58% 2.55% 0.39% 2.54%
nocturne Nocturne
8.43 53.80% 2.21% 0.18% 2.21%
bard Bard
8.06 51.17% 6.86% 0.86% 6.80%
xerath Xerath
7.39 53.16% 2.34% 0.33% 2.33%
sejuani Sejuani
7.00 51.04% 6.71% 6.21% 6.29%
gnar Gnar
6.49 50.73% 8.83% 4.01% 8.48%
trundle Trundle
5.81 51.32% 4.38% 0.53% 4.36%
rumble Rumble
5.61 51.27% 4.43% 0.80% 4.39%
fiddlesticks Fiddlesticks
5.52 51.92% 2.87% 0.33% 2.86%
irelia Irelia
5.28 51.21% 4.35% 1.95% 4.27%
amumu Amumu
5.18 50.89% 5.81% 1.99% 5.69%
kindred Kindred
5.10 53.00% 1.69% 0.18% 1.69%
aatrox Aatrox
4.37 53.54% 1.24% 0.61% 1.23%
aurelionSol Aurelionsol
4.05 54.08% 0.99% 0.49% 0.99%
jax Jax
3.62 50.30% 12.08% 6.20% 11.33%
singed Singed
3.29 51.59% 2.07% 0.39% 2.06%
annie Annie
2.91 50.46% 6.33% 2.80% 6.15%
vladimir Vladimir
2.83 50.42% 6.79% 5.24% 6.43%
velkoz Velkoz
2.78 50.69% 4.05% 0.45% 4.03%
jayce Jayce
2.68 50.37% 7.21% 3.82% 6.93%
nunu Nunu
2.45 52.13% 1.15% 0.11% 1.15%
katarina Katarina
1.91 50.33% 5.79% 7.85% 5.34%
nami Nami
1.89 50.21% 9.23% 0.42% 9.19%
heimerdinger Heimerdinger
1.70 50.97% 1.75% 0.54% 1.74%
skarner Skarner
1.68 51.28% 1.31% 0.10% 1.31%
monkeyKing Wukong
1.54 50.40% 3.91% 0.74% 3.88%
darius Darius
1.11 50.07% 16.51% 57.31% 7.05%
hecarim Hecarim
0.88 50.22% 3.99% 0.96% 3.95%
poppy Poppy
0.59 50.12% 4.71% 0.33% 4.69%
elise Elise
-0.26 49.95% 5.86% 2.28% 5.73%
kassadin Kassadin
-0.28 49.95% 6.11% 4.92% 5.81%
fiora Fiora
-0.38 49.95% 7.54% 18.94% 6.11%
alistar Alistar
-0.92 49.90% 9.22% 1.72% 9.06%
rengar Rengar
-1.35 49.51% 2.78% 0.63% 2.76%
corki Corki
-1.46 49.47% 2.76% 0.52% 2.75%
ashe Ashe
-1.60 49.83% 9.25% 0.46% 9.21%
drMundo Dr. Mundo
-1.78 49.43% 3.12% 1.21% 3.08%
teemo Teemo
-2.22 49.61% 5.70% 2.61% 5.55%
lissandra Lissandra
-2.31 49.15% 2.71% 0.37% 2.70%
varus Varus
-2.64 49.54% 5.70% 0.26% 5.69%
khazix Khazix
-2.69 49.69% 8.55% 3.73% 8.23%
viktor Viktor
-2.83 49.02% 2.90% 0.25% 2.89%
ivern Ivern
-2.88 47.14% 1.00% 0.27% 1.00%
zyra Zyra
-3.37 48.98% 3.31% 1.02% 3.28%
kogMaw Kog'Maw
-3.62 48.53% 2.47% 0.27% 2.46%
graves Graves
-3.87 48.83% 3.32% 0.18% 3.31%
quinn Quinn
-4.84 48.24% 2.75% 0.43% 2.74%
kled Kled
-5.13 48.85% 4.48% 5.35% 4.24%
rekSai Rek'Sai
-5.36 48.09% 2.82% 0.74% 2.80%
leblanc Leblanc
-5.39 48.70% 4.15% 4.89% 3.95%
shaco Shaco
-5.47 48.59% 3.89% 1.25% 3.84%
urgot Urgot
-5.83 49.04% 6.08% 18.06% 4.98%
udyr Udyr
-6.18 44.58% 1.14% 0.11% 1.14%
riven Riven
-6.60 49.52% 13.83% 8.09% 12.71%
evelynn Evelynn
-6.81 46.33% 1.86% 0.93% 1.84%
veigar Veigar
-6.89 49.34% 10.40% 3.49% 10.04%
shen Shen
-7.21 49.08% 7.82% 1.09% 7.73%
nautilus Nautilus
-7.26 48.71% 5.61% 0.74% 5.57%
malphite Malphite
-7.58 48.92% 7.00% 1.43% 6.90%
illaoi Illaoi
-8.40 47.48% 3.33% 8.88% 3.03%
nidalee Nidalee
-8.88 45.82% 2.12% 0.10% 2.12%
gragas Gragas
-9.46 49.20% 11.86% 3.11% 11.49%
azir Azir
-9.56 45.84% 2.30% 0.48% 2.29%
renekton Renekton
-9.88 49.11% 11.14% 7.24% 10.33%
camille Camille
-11.52 46.74% 3.53% 3.46% 3.41%
galio Galio
-12.35 47.40% 4.75% 2.72% 4.62%
ryze Ryze
-12.99 41.56% 1.54% 0.12% 1.54%
tahmKench Tahm Kench
-13.25 45.43% 2.90% 0.67% 2.88%
karma Karma
-13.43 47.38% 5.13% 0.17% 5.12%
xayah Xayah
-14.76 48.74% 11.71% 12.57% 10.24%
kalista Kalista
-15.38 46.49% 4.39% 0.69% 4.36%
olaf Olaf
-16.50 45.58% 3.73% 0.65% 3.71%
jhin Jhin
-16.94 49.02% 17.33% 3.16% 16.78%
cassiopeia Cassiopeia
-18.79 43.09% 2.72% 1.39% 2.68%
taliyah Taliyah
-21.18 44.09% 3.58% 0.63% 3.56%
orianna Orianna
-24.17 48.20% 13.44% 5.39% 12.72%
twistedFate Twisted Fate
-25.88 46.95% 8.50% 0.55% 8.45%
syndra Syndra
-29.49 46.44% 8.29% 10.02% 7.46%
ezreal Ezreal
-31.09 46.14% 8.05% 0.68% 8.00%
braum Braum
-32.29 47.52% 12.99% 6.41% 12.16%
lulu Lulu
-33.39 47.62% 14.01% 8.37% 12.84%
yasuo Yasuo
-40.21 48.46% 26.07% 49.22% 13.24%
zed Zed
-45.06 47.90% 21.48% 47.94% 11.18%
lucian Lucian
-45.23 47.94% 21.98% 3.97% 21.11%
zac Zac
-51.16 45.28% 10.84% 46.41% 5.81%
thresh Thresh
-60.44 48.18% 33.16% 14.47% 28.36%
caitlyn Caitlyn
-67.75 45.29% 14.40% 16.61% 12.01%
leeSin Lee Sin
-107.43 46.87% 34.35% 23.60% 26.24%

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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