Personalised Bans

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TOP SILVER BANS

janna
#1 : JANNA
Influence: 169
Win Rate: 54.65%
Pick Rate: 36.24%
soraka
#2 : SORAKA
Influence: 93
Win Rate: 54.04%
Pick Rate: 23.00%
sona
#3 : SONA
Influence: 71
Win Rate: 54.32%
Pick Rate: 16.51%
rammus
#4 : RAMMUS
Influence: 56
Win Rate: 54.87%
Pick Rate: 11.54%

warwick
#5 : WARWICK
Influence: 50
Win Rate: 53.59%
Pick Rate: 14.00%
twitch
#6 : TWITCH (4)
Influence: 42
Win Rate: 51.37%
Pick Rate: 30.76%
sejuani
#7 : SEJUANI (1)
Influence: 41
Win Rate: 52.83%
Pick Rate: 14.50%
tristana
#8 : TRISTANA (1)
Influence: 33
Win Rate: 50.87%
Pick Rate: 37.56%

malzahar
#9 : MALZAHAR (1)
Influence: 31
Win Rate: 53.37%
Pick Rate: 9.16%
singed
#10 : SINGED (1)
Influence: 27
Win Rate: 54.81%
Pick Rate: 5.53%
taric
#11 : TARIC (5)
Influence: 22
Win Rate: 53.63%
Pick Rate: 6.05%
garen
#12 : GAREN (2)
Influence: 22
Win Rate: 52.86%
Pick Rate: 7.67%


Champion Influence Win Rate Adj. Pick
Rate
Ban Rate Pick Rate
janna Janna
168.56 54.65% 36.24% 52.18% 17.33%
soraka Soraka
92.91 54.04% 23.00% 27.74% 16.62%
sona Sona
71.26 54.32% 16.51% 3.26% 15.97%
rammus Rammus
56.19 54.87% 11.54% 15.87% 9.71%
warwick Warwick
50.26 53.59% 14.00% 14.24% 12.01%
twitch Twitch
42.13 51.37% 30.76% 38.91% 18.79%
sejuani Sejuani
40.94 52.83% 14.50% 24.40% 10.96%
tristana Tristana
32.58 50.87% 37.56% 29.64% 26.43%
malzahar Malzahar
30.82 53.37% 9.16% 14.17% 7.86%
singed Singed
26.61 54.81% 5.53% 2.88% 5.37%
taric Taric
21.93 53.63% 6.05% 0.77% 6.00%
garen Garen
21.92 52.86% 7.67% 3.24% 7.42%
jarvanIV Jarvan IV
20.98 51.24% 16.96% 9.66% 15.32%
anivia Anivia
19.74 53.76% 5.25% 2.91% 5.10%
missFortune Miss Fortune
18.72 51.83% 10.21% 1.60% 10.05%
draven Draven
17.58 51.06% 16.68% 32.12% 11.32%
leona Leona
16.75 51.71% 9.81% 2.96% 9.52%
jinx Jinx
16.71 51.08% 15.44% 1.15% 15.26%
shyvana Shyvana
16.48 52.97% 5.56% 0.93% 5.51%
ahri Ahri
16.43 51.24% 13.31% 5.98% 12.51%
jax Jax
16.05 51.11% 14.53% 8.78% 13.25%
teemo Teemo
15.82 51.78% 8.88% 6.63% 8.29%
kogMaw Kog'Maw
13.79 51.13% 12.21% 10.55% 10.92%
fizz Fizz
13.34 51.52% 8.80% 20.48% 7.00%
brand Brand
11.44 51.52% 7.52% 5.18% 7.13%
lux Lux
11.33 50.90% 12.55% 1.86% 12.32%
nami Nami
11.18 50.98% 11.38% 0.54% 11.32%
ziggs Ziggs
10.69 52.69% 3.98% 0.37% 3.97%
sion Sion
10.57 52.39% 4.43% 0.25% 4.42%
yasuo Yasuo
10.43 50.40% 26.24% 42.14% 15.18%
monkeyKing Wukong
10.10 51.88% 5.38% 0.95% 5.33%
chogath Cho'Gath
9.93 50.55% 17.98% 50.33% 8.93%
katarina Katarina
9.92 51.39% 7.15% 7.42% 6.62%
swain Swain
9.31 52.66% 3.50% 0.94% 3.47%
annie Annie
9.21 51.17% 7.86% 5.92% 7.39%
fiora Fiora
7.78 50.68% 11.49% 19.08% 9.30%
yorick Yorick
7.28 52.87% 2.54% 1.11% 2.51%
velkoz Velkoz
7.14 51.30% 5.50% 0.64% 5.46%
talon Talon
6.84 51.08% 6.33% 6.06% 5.95%
sivir Sivir
6.31 50.90% 7.03% 0.40% 7.00%
amumu Amumu
5.81 51.27% 4.60% 1.06% 4.55%
vayne Vayne
5.72 50.24% 24.34% 11.43% 21.56%
pantheon Pantheon
5.39 50.82% 6.60% 8.75% 6.02%
vi Vi
5.11 50.98% 5.24% 0.98% 5.19%
nasus Nasus
4.65 50.45% 10.45% 14.15% 8.97%
tryndamere Tryndamere
4.56 50.59% 7.69% 7.26% 7.13%
fiddlesticks Fiddlesticks
4.12 51.19% 3.47% 0.59% 3.45%
heimerdinger Heimerdinger
3.24 51.13% 2.88% 0.89% 2.85%
trundle Trundle
2.35 50.69% 3.43% 0.39% 3.42%
drMundo Dr. Mundo
2.20 50.58% 3.82% 1.19% 3.77%
lissandra Lissandra
1.95 51.02% 1.93% 0.28% 1.92%
kayle Kayle
1.92 50.56% 3.41% 0.87% 3.38%
jayce Jayce
1.88 50.24% 7.74% 5.30% 7.33%
zyra Zyra
1.63 50.40% 4.12% 1.15% 4.07%
riven Riven
1.54 50.12% 13.37% 7.68% 12.34%
veigar Veigar
0.88 50.13% 6.67% 2.09% 6.53%
zilean Zilean
0.83 50.28% 2.93% 0.38% 2.92%
udyr Udyr
0.82 50.46% 1.78% 0.21% 1.78%
rumble Rumble
0.65 50.21% 3.17% 0.41% 3.16%
xerath Xerath
0.65 50.20% 3.32% 0.36% 3.31%
diana Diana
0.56 50.10% 5.52% 2.29% 5.39%
quinn Quinn
0.56 50.30% 1.91% 0.40% 1.90%
aatrox Aatrox
0.29 50.23% 1.26% 1.56% 1.24%
karthus Karthus
0.02 50.01% 1.59% 0.18% 1.59%
skarner Skarner
-0.02 49.99% 1.00% 0.08% 1.00%
illaoi Illaoi
-1.23 49.44% 2.19% 2.85% 2.13%
kindred Kindred
-1.42 49.15% 1.68% 0.22% 1.68%
shaco Shaco
-1.42 49.57% 3.32% 1.36% 3.27%
aurelionSol Aurelionsol
-1.47 49.00% 1.48% 0.57% 1.47%
kled Kled
-1.47 49.53% 3.09% 1.51% 3.04%
xinZhao Xin Zhao
-1.50 49.74% 5.81% 1.75% 5.71%
masterYi Master Yi
-2.10 49.83% 12.51% 18.80% 10.16%
alistar Alistar
-2.21 49.73% 8.04% 2.25% 7.86%
kennen Kennen
-2.30 49.41% 3.88% 0.96% 3.84%
corki Corki
-2.69 49.28% 3.72% 0.58% 3.70%
maokai Maokai
-2.91 49.75% 11.53% 15.50% 9.74%
blitzcrank Blitzcrank
-3.02 49.82% 16.33% 37.80% 10.16%
hecarim Hecarim
-3.40 48.91% 3.11% 0.96% 3.08%
elise Elise
-3.52 49.10% 3.90% 1.27% 3.85%
nocturne Nocturne
-3.52 48.70% 2.71% 0.24% 2.70%
akali Akali
-3.66 49.30% 5.21% 6.30% 4.88%
volibear Volibear
-4.17 48.02% 2.10% 0.23% 2.10%
irelia Irelia
-4.57 48.81% 3.83% 1.19% 3.78%
ivern Ivern
-4.82 47.67% 2.07% 0.82% 2.05%
mordekaiser Mordekaiser
-5.00 47.52% 2.02% 0.41% 2.01%
malphite Malphite
-5.90 48.90% 5.36% 1.18% 5.30%
graves Graves
-6.29 47.88% 2.96% 0.40% 2.95%
urgot Urgot
-6.48 48.17% 3.55% 2.17% 3.47%
twistedFate Twisted Fate
-6.49 49.22% 8.32% 0.92% 8.24%
ekko Ekko
-6.93 49.30% 9.83% 4.81% 9.36%
bard Bard
-7.27 48.78% 5.96% 0.78% 5.91%
viktor Viktor
-7.71 48.14% 4.16% 0.37% 4.14%
camille Camille
-7.82 47.36% 2.96% 1.63% 2.91%
poppy Poppy
-7.82 47.14% 2.74% 0.21% 2.73%
varus Varus
-8.81 48.32% 5.26% 0.16% 5.25%
nautilus Nautilus
-9.09 47.83% 4.19% 0.39% 4.17%
olaf Olaf
-9.48 45.76% 2.24% 0.45% 2.23%
darius Darius
-9.82 49.24% 12.88% 32.21% 8.73%
khazix Khazix
-9.83 48.80% 8.22% 3.13% 7.96%
nunu Nunu
-10.14 43.74% 1.62% 0.15% 1.62%
braum Braum
-10.26 48.33% 6.13% 2.07% 6.00%
gnar Gnar
-10.33 48.44% 6.60% 2.89% 6.41%
zac Zac
-10.33 47.48% 4.10% 10.64% 3.66%
vladimir Vladimir
-10.43 48.75% 8.32% 7.62% 7.69%
rengar Rengar
-10.62 46.78% 3.30% 0.63% 3.28%
renekton Renekton
-10.81 48.69% 8.22% 4.07% 7.89%
tahmKench Tahm Kench
-11.23 45.10% 2.29% 0.59% 2.28%
evelynn Evelynn
-11.55 46.41% 3.21% 2.85% 3.12%
azir Azir
-12.06 44.06% 2.03% 0.45% 2.02%
taliyah Taliyah
-12.46 45.95% 3.08% 0.30% 3.07%
morgana Morgana
-12.66 48.82% 10.73% 4.70% 10.23%
xayah Xayah
-12.75 49.45% 23.18% 11.62% 20.49%
kassadin Kassadin
-13.68 48.03% 6.93% 9.84% 6.25%
cassiopeia Cassiopeia
-14.27 46.04% 3.61% 1.54% 3.55%
gangplank Gangplank
-14.36 47.96% 7.02% 1.29% 6.93%
ashe Ashe
-14.56 48.89% 13.05% 0.72% 12.96%
jhin Jhin
-17.04 48.65% 12.62% 1.52% 12.43%
kayn Kayn
-17.73 49.26% 23.80% 32.61% 16.04%
shen Shen
-18.14 46.93% 5.90% 0.58% 5.87%
ornn Ornn
-18.49 45.69% 4.29% 2.35% 4.19%
ryze Ryze
-18.71 44.07% 3.15% 0.34% 3.14%
nidalee Nidalee
-19.94 45.54% 4.47% 0.47% 4.45%
galio Galio
-20.48 46.32% 5.57% 2.15% 5.45%
zed Zed
-20.85 49.08% 22.61% 38.61% 13.88%
rekSai Rek'Sai
-20.92 43.34% 3.14% 0.58% 3.12%
kalista Kalista
-22.07 46.24% 5.86% 1.21% 5.79%
karma Karma
-22.61 46.06% 5.74% 0.40% 5.72%
leblanc Leblanc
-24.25 44.50% 4.41% 3.88% 4.24%
lulu Lulu
-28.41 48.61% 20.45% 25.76% 15.18%
orianna Orianna
-28.82 47.57% 11.83% 3.33% 11.44%
syndra Syndra
-30.37 46.14% 7.87% 5.06% 7.47%
rakan Rakan
-31.48 47.53% 12.75% 6.61% 11.91%
caitlyn Caitlyn
-39.25 45.16% 8.11% 5.20% 7.69%
ezreal Ezreal
-42.98 47.92% 20.64% 12.07% 18.15%
gragas Gragas
-47.80 44.71% 9.04% 2.52% 8.81%
lucian Lucian
-51.70 46.12% 13.32% 2.09% 13.04%
leeSin Lee Sin
-68.69 45.32% 14.69% 6.78% 13.69%
thresh Thresh
-95.77 45.84% 23.00% 9.08% 20.91%

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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