Personalised Bans

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TOP BRONZE BANS

hecarim
#1 : HECARIM
Influence: 229
Win Rate: 58.75%
Pick Rate: 26.22%
nami
#2 : NAMI
Influence: 126
Win Rate: 59.19%
Pick Rate: 13.70%
morgana
#3 : MORGANA (19)
Influence: 104
Win Rate: 52.42%
Pick Rate: 43.02%
vi
#4 : VI (1)
Influence: 64
Win Rate: 57.97%
Pick Rate: 8.02%

kennen
#5 : KENNEN (24)
Influence: 60
Win Rate: 60.93%
Pick Rate: 5.51%
jax
#6 : JAX (2)
Influence: 57
Win Rate: 52.91%
Pick Rate: 19.60%
gangplank
#7 : GANGPLANK (8)
Influence: 55
Win Rate: 70.55%
Pick Rate: 2.67%
tristana
#8 : TRISTANA (1)
Influence: 55
Win Rate: 55.05%
Pick Rate: 10.86%

jarvanIV
#9 : JARVAN IV (6)
Influence: 55
Win Rate: 52.20%
Pick Rate: 24.74%
irelia
#10 : IRELIA (22)
Influence: 53
Win Rate: 52.05%
Pick Rate: 25.76%
caitlyn
#11 : CAITLYN (35)
Influence: 52
Win Rate: 52.98%
Pick Rate: 17.29%
veigar
#12 : VEIGAR (3)
Influence: 49
Win Rate: 57.65%
Pick Rate: 6.47%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
hecarim Hecarim
229.35 58.75% 26.22% 31.58% 17.94%
nami Nami
125.84 59.19% 13.70% 1.39% 13.51%
morgana Morgana
104.09 52.42% 43.02% 58.65% 17.79%
vi Vi
63.93 57.97% 8.02% 1.73% 7.88%
kennen Kennen
60.23 60.93% 5.51% 3.50% 5.32%
jax Jax
57.13 52.91% 19.60% 20.80% 15.52%
gangplank Gangplank
54.86 70.55% 2.67% 0.34% 2.66%
tristana Tristana
54.86 55.05% 10.86% 0.72% 10.78%
jarvanIV Jarvan IV
54.50 52.20% 24.74% 16.21% 20.73%
irelia Irelia
52.80 52.05% 25.76% 20.82% 20.40%
caitlyn Caitlyn
51.52 52.98% 17.29% 9.54% 15.64%
veigar Veigar
49.48 57.65% 6.47% 1.74% 6.36%
rumble Rumble
42.47 72.24% 1.90% 0.25% 1.90%
fizz Fizz
41.77 55.24% 7.97% 13.42% 6.90%
blitzcrank Blitzcrank
39.02 54.92% 7.92% 8.75% 7.23%
missFortune Miss Fortune
38.82 54.52% 8.59% 1.34% 8.47%
taliyah Taliyah
37.35 70.84% 1.79% 0.14% 1.79%
sivir Sivir
37.03 58.49% 4.36% 0.23% 4.35%
sona Sona
37.02 57.75% 4.77% 0.30% 4.76%
velkoz Velkoz
37.01 55.76% 6.43% 1.06% 6.36%
zilean Zilean
36.09 56.97% 5.18% 1.65% 5.09%
xerath Xerath
34.12 57.17% 4.76% 0.88% 4.72%
talon Talon
30.85 54.91% 6.30% 4.37% 6.02%
monkeyKing Wukong
30.43 60.42% 2.92% 0.48% 2.91%
olaf Olaf
30.36 65.20% 2.00% 0.49% 1.99%
braum Braum
29.43 53.05% 9.65% 5.89% 9.08%
yorick Yorick
28.38 60.76% 2.64% 1.48% 2.60%
jinx Jinx
28.33 51.76% 16.12% 1.32% 15.91%
lulu Lulu
25.35 51.01% 25.04% 19.54% 20.15%
warwick Warwick
25.23 57.36% 3.42% 0.72% 3.40%
sejuani Sejuani
25.15 55.23% 4.81% 0.89% 4.77%
katarina Katarina
22.89 51.60% 14.31% 18.68% 11.64%
renekton Renekton
22.25 53.21% 6.93% 5.96% 6.52%
galio Galio
20.09 54.86% 4.13% 0.47% 4.11%
gnar Gnar
19.81 55.23% 3.78% 0.63% 3.76%
amumu Amumu
17.70 53.19% 5.55% 0.90% 5.50%
nautilus Nautilus
17.45 51.44% 12.13% 4.32% 11.61%
garen Garen
17.13 52.39% 7.16% 6.21% 6.72%
bard Bard
16.72 58.34% 2.00% 0.15% 2.00%
syndra Syndra
16.45 52.58% 6.37% 1.15% 6.30%
trundle Trundle
15.71 59.11% 1.72% 0.14% 1.72%
teemo Teemo
15.20 53.44% 4.42% 3.60% 4.26%
drMundo Dr. Mundo
14.83 54.68% 3.17% 1.96% 3.11%
skarner Skarner
14.76 65.00% 0.98% 0.17% 0.98%
draven Draven
13.73 50.75% 18.24% 32.18% 12.37%
azir Azir
13.66 55.61% 2.43% 0.50% 2.42%
graves Graves
13.22 56.25% 2.11% 0.14% 2.11%
varus Varus
12.62 52.72% 4.64% 0.35% 4.62%
diana Diana
12.47 51.75% 7.12% 9.69% 6.43%
singed Singed
12.30 57.24% 1.69% 0.18% 1.69%
shyvana Shyvana
12.09 59.63% 1.25% 0.16% 1.25%
swain Swain
10.94 57.09% 1.54% 0.28% 1.54%
vayne Vayne
10.64 50.19% 55.30% 41.93% 32.11%
vladimir Vladimir
10.44 50.49% 21.30% 24.99% 15.98%
kled Kled
10.26 54.98% 2.06% 1.30% 2.03%
brand Brand
10.17 51.10% 9.20% 21.12% 7.26%
urgot Urgot
9.56 50.71% 13.51% 19.81% 10.83%
ziggs Ziggs
9.21 56.62% 1.39% 0.20% 1.39%
janna Janna
8.99 50.89% 10.13% 0.78% 10.05%
masterYi Master Yi
7.17 50.59% 12.06% 9.25% 10.94%
xayah Xayah
6.90 51.25% 5.54% 0.64% 5.50%
rekSai Rek'Sai
5.85 50.99% 5.90% 7.39% 5.46%
kalista Kalista
4.87 51.25% 3.89% 0.63% 3.87%
camille Camille
4.56 50.97% 4.67% 1.87% 4.58%
quinn Quinn
3.34 51.91% 1.75% 0.52% 1.74%
lissandra Lissandra
3.30 50.56% 5.88% 6.15% 5.52%
evelynn Evelynn
3.02 50.61% 5.00% 6.79% 4.66%
leeSin Lee Sin
1.94 50.09% 20.99% 10.09% 18.87%
zyra Zyra
1.80 50.42% 4.31% 2.51% 4.20%
volibear Volibear
1.71 51.05% 1.62% 0.24% 1.62%
chogath Cho'Gath
0.45 50.21% 2.16% 0.71% 2.14%
poppy Poppy
0.06 50.02% 3.32% 1.36% 3.27%
aurelionSol Aurelionsol
0.00 50.00% 0.42% 0.36% 0.42%
taric Taric
-0.43 49.83% 2.55% 0.40% 2.54%
anivia Anivia
-0.86 49.45% 1.58% 0.56% 1.57%
karthus Karthus
-1.25 49.88% 10.23% 13.55% 8.84%
malzahar Malzahar
-1.92 49.35% 2.97% 1.62% 2.92%
alistar Alistar
-2.15 49.62% 5.65% 1.91% 5.54%
corki Corki
-2.21 49.40% 3.70% 0.51% 3.68%
viktor Viktor
-2.34 48.49% 1.55% 0.16% 1.55%
sion Sion
-2.43 48.81% 2.03% 0.18% 2.03%
zac Zac
-2.90 48.64% 2.13% 0.35% 2.12%
nasus Nasus
-2.99 49.47% 5.66% 2.59% 5.51%
maokai Maokai
-3.80 45.00% 0.76% 0.07% 0.76%
heimerdinger Heimerdinger
-3.98 47.05% 1.35% 0.33% 1.35%
leona Leona
-4.28 49.41% 7.25% 4.18% 6.95%
ahri Ahri
-4.48 49.57% 10.43% 3.14% 10.10%
fiddlesticks Fiddlesticks
-4.51 48.38% 2.79% 1.02% 2.76%
aatrox Aatrox
-5.11 48.36% 3.12% 3.05% 3.02%
udyr Udyr
-5.24 48.28% 3.06% 0.52% 3.04%
soraka Soraka
-5.36 49.28% 7.50% 1.85% 7.36%
ashe Ashe
-6.06 48.87% 5.37% 0.38% 5.35%
nocturne Nocturne
-7.03 47.94% 3.40% 1.01% 3.37%
shen Shen
-7.37 47.84% 3.41% 0.24% 3.40%
kogMaw Kog'Maw
-7.80 45.00% 1.56% 0.26% 1.56%
fiora Fiora
-8.89 49.04% 9.21% 10.24% 8.27%
gragas Gragas
-10.32 47.10% 3.56% 0.23% 3.55%
mordekaiser Mordekaiser
-10.40 38.69% 0.92% 0.23% 0.92%
tryndamere Tryndamere
-11.24 45.09% 2.29% 0.72% 2.27%
annie Annie
-11.32 46.18% 2.96% 0.56% 2.94%
twistedFate Twisted Fate
-11.64 43.51% 1.79% 0.08% 1.79%
kassadin Kassadin
-12.05 46.25% 3.21% 1.68% 3.16%
cassiopeia Cassiopeia
-12.88 45.07% 2.61% 0.78% 2.59%
jhin Jhin
-13.44 48.40% 8.38% 0.76% 8.32%
nunu Nunu
-13.55 43.87% 2.21% 0.27% 2.20%
shaco Shaco
-14.61 43.21% 2.15% 0.63% 2.14%
tahmKench Tahm Kench
-14.76 42.95% 2.09% 0.46% 2.08%
orianna Orianna
-16.75 47.36% 6.33% 0.65% 6.29%
khazix Khazix
-19.04 48.28% 11.06% 6.48% 10.34%
rakan Rakan
-19.41 46.79% 6.05% 0.46% 6.02%
elise Elise
-19.71 41.07% 2.21% 0.42% 2.20%
malphite Malphite
-20.60 45.73% 4.83% 0.54% 4.80%
illaoi Illaoi
-21.37 43.07% 3.08% 4.25% 2.95%
twitch Twitch
-21.48 47.90% 10.24% 2.84% 9.95%
lux Lux
-21.72 48.51% 14.57% 1.67% 14.33%
xinZhao Xin Zhao
-23.30 42.45% 3.09% 0.62% 3.07%
pantheon Pantheon
-23.41 44.25% 4.08% 1.87% 4.00%
rammus Rammus
-23.53 46.23% 6.23% 8.98% 5.67%
nidalee Nidalee
-23.59 34.47% 1.52% 0.11% 1.52%
kayle Kayle
-32.51 45.29% 6.90% 13.33% 5.98%
jayce Jayce
-38.26 43.29% 5.70% 1.93% 5.59%
ivern Ivern
-41.54 11.11% 1.06% 0.30% 1.06%
yasuo Yasuo
-47.39 49.16% 56.75% 59.12% 23.20%
leblanc Leblanc
-49.82 44.32% 8.77% 9.94% 7.90%
kindred Kindred
-53.61 39.74% 5.23% 1.83% 5.13%
ezreal Ezreal
-60.51 47.16% 21.27% 3.16% 20.60%
ekko Ekko
-60.53 35.40% 4.15% 1.00% 4.11%
darius Darius
-71.26 44.92% 14.01% 43.32% 7.94%
rengar Rengar
-78.63 43.29% 11.72% 12.56% 10.25%
ryze Ryze
-83.09 41.53% 9.80% 1.37% 9.67%
karma Karma
-85.08 39.12% 7.81% 0.78% 7.75%
riven Riven
-90.95 45.17% 18.83% 12.66% 16.45%
lucian Lucian
-108.04 45.97% 26.83% 8.17% 24.64%
akali Akali
-127.67 43.68% 20.21% 21.36% 15.89%
thresh Thresh
-143.71 45.29% 30.52% 14.66% 26.05%
zed Zed
-165.69 47.55% 67.68% 73.73% 17.78%

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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