Best Brawlers for Knockout in Pro Rank
Top Knockout picks in Pro, based on win rate, use rate, and meta score.
| # | Brawler | Win Rate | Use Rate | |
|---|---|---|---|---|
Amber
|
100.0% | 1.85% | 7.7 | |
Najia
|
76.9% | 6.02% | 6.7 | |
Shade
|
71.4% | 3.24% | 5.6 | |
Leon
|
100.0% | 0.93% | 5.2 | |
Doug
|
100.0% | 0.93% | 5.2 | |
Colette
|
66.7% | 4.17% | 5.2 | |
Mina
|
66.7% | 4.17% | 5.2 | |
Gus
|
57.1% | 9.72% | 4.3 | |
Gray
|
56.3% | 7.41% | 4.2 | |
Brock
|
55.6% | 12.50% | 4.1 | |
Rico
|
66.7% | 1.39% | 3.7 | |
Griff
|
66.7% | 1.39% | 3.7 | |
Buster
|
66.7% | 1.39% | 3.7 | |
Wendy
|
66.7% | 1.39% | 3.7 | |
Max
|
51.9% | 12.50% | 3.7 | |
Pierce
|
50.0% | 1.85% | 2.7 | |
Meeple
|
37.5% | 3.70% | 2.2 | |
Darryl
|
33.3% | 1.39% | 1.3 | |
Meg
|
33.3% | 1.39% | 1.3 | |
Berry
|
33.3% | 1.39% | 1.3 | |
Jae-Yong
|
33.3% | 1.39% | 1.3 | |
Piper
|
25.0% | 3.70% | 1.2 | |
Gene
|
23.5% | 7.87% | 1.1 | |
El Primo
|
0.0% | 0.93% | 0.0 | |
8-Bit
|
0.0% | 0.93% | 0.0 | |
Byron
|
0.0% | 0.93% | 0.0 | |
Edgar
|
0.0% | 2.78% | 0.0 | |
Pearl
|
0.0% | 0.93% | 0.0 | |
Charlie
|
0.0% | 0.93% | 0.0 | |
Ollie
|
0.0% | 0.93% | 0.0 |
Meta Summary
A plain-language overview of Knockout in Pro Ranked, based on the current rolling seven-day data.
Amber
Amber
Ollie
Brock
Ollie
In Knockout in Pro Ranked, Amber leads with a Meta Score of 7.7/10. Amber has the highest win rate at 100.0%, while Brock is the most used at 12.50%.
No pick currently meets the sample and above-average win-rate requirements for a reliable underrated signal.
Ollie is the least used at 0.93%. Low-use results are more volatile, so this does not automatically mean the pick is weak.
This view contains 216 recorded brawler appearances and has a Gini coefficient of 0.48, classified as Unbalanced. Lower Gini values mean use is spread more evenly across the roster.
FAQ
Which picks are currently the best in Knockout in Pro Ranked?
Amber, Najia, and Shade currently lead this table by Meta Score. Meta Score rewards strong win rates while requiring enough use to make the result more trustworthy.
How is Meta Score calculated?
For the selected view, each brawler's win rate and use rate are normalized against the highest values in the table. Win rate is weighted more strongly, while use rate passes through a saturating confidence factor: very low-use picks are penalized, but extra popularity quickly provides diminishing benefit. The combined result is normalized to a 0–10 score, capped at 10, and rounded to one decimal place.
How are Win Rate and Use Rate calculated?
Win Rate is a brawler's recorded wins divided by its recorded uses. Use Rate is that brawler's uses divided by all brawler appearances in the selected mode, category, and—when applicable—Ranked tier.
How is the most underrated pick identified?
We compare each brawler's win-rate rank with its use-rate rank. A pick is an underrated candidate when its win-rate position is substantially better than its popularity position, its win rate is above the view's weighted average, and it has at least 25 estimated appearances. This is a discovery signal, not a guarantee that the pick is best for every map or matchup.
What does the Gini coefficient mean?
The Gini coefficient measures how concentrated brawler usage is. A value of 0 means every brawler has an equal use rate. Higher values mean play is concentrated among fewer picks, which signals a less evenly distributed meta.
How recent is the data?
The backend collects profile battle data every two minutes, publishes aggregated meta tables daily, and removes statistics older than seven days. Total Samples counts brawler appearances, not unique players or matches.
How are Ranked tiers grouped?
Ranked data groups ranks 1–3 as Bronze, 4–6 as Silver, 7–9 as Gold, 10–12 as Diamond, 13–15 as Mythic, 16–18 as Legendary, 19–21 as Masters, and rank 22 as Pro.