Brawl Ball · Not in the Ranked rotation

Best Brawlers for In Demand

Which brawler should you pick on In Demand? These are the win rates BrawlPick observed for 100 brawlers on this Brawl Ball map, from 3,136 battles. The most reliable strong performer was Wendy, winning 79.1% of 206 games.

Statistics as of today

Data updated . Based on 3,136 In Demand battles (18,816 brawler appearances), played Sep 17 – Oct 7, 2026.

Includes Ranked and regular 3v3 battles, not Ranked only. The rotation status is the last one detected from Ranked battles, separate from these statistics. See every Brawl Ball map and the mode-wide ranking.

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Strongest observed brawlers on In Demand

Ordered by the low end of each brawler's 95% range, not by raw win rate, so a high number from a small sample doesn't simply jump to the top. The range shows how far the true win rate could plausibly be from the observed one. The reliable picks — 150+ games and a range entirely above 50%, as on this map's card — are Wendy, Amber and Nori.

Top 10 brawlers on In Demand by the low end of their 95% range
#BrawlerWin rate95% rangeGames
179.1%73–84%206
278%66–87%59 (limited sample)
375%65–83%80 (limited sample)
470%64–75%273
567.7%62–73%319
672.2%61–81%79 (limited sample)
772.2%61–81%79 (limited sample)
868.1%61–74%204
964.9%60–69%410
1073.1%60–83%52 (limited sample)

* Fewer than 150 games: a limited sample, so the range is wide.

What the data says about In Demand

  • Assassin brawlers are over-represented at the top: 4 of the 10 strongest, against about 1.9 you would expect from their share of the full table.
  • The most played brawler here, Colt (1,035 games), ranks #73 by reliability — popular is not the same as strong on this map.

Classes are the official in-game classes. These are descriptions of the observed games, not causes.

Promising, but not enough games yet

These brawlers won often on In Demand but appear in fewer than 150 observed games, so their win rate is much less certain.

Promising brawlers on In Demand with limited samples
BrawlerWin rate95% rangeGames
73.9%60–84%46 (limited sample)
70.9%58–81%55 (limited sample)
70%52–83%30 (limited sample)
69.2%57–79%65 (limited sample)
68.4%59–76%114 (limited sample)

Most played on In Demand

Brawlers that appeared in the most observed games. Popular is not the same as strong — compare the win rates.

Most played brawlers on In Demand
BrawlerWin rate95% rangeGames
42.9%40–46%1,035
50.8%48–54%1,030
29.4%27–32%894
36%32–40%672
55.2%51–59%569

Lowest observed win rates

Brawlers whose win rate on In Demand was clearly below 50% in this sample, even allowing for its size. This can reflect the map, the drafts they were picked into, or who played them — not necessarily that the brawler can't work here.

Lowest observed win rates on In Demand
BrawlerWin rate95% rangeGames
20.5%17–25%376
24.5%19–31%192
29.4%27–32%894
29.4%24–36%214
29.2%22–38%120 (limited sample)
All 100 brawlers on In Demand
All rated brawlers on In Demand
#BrawlerWin rate95% rangeGames
179.1%73–84%206
278%66–87%59 (limited sample)
375%65–83%80 (limited sample)
470%64–75%273
567.7%62–73%319
672.2%61–81%79 (limited sample)
772.2%61–81%79 (limited sample)
868.1%61–74%204
964.9%60–69%410
1073.1%60–83%52 (limited sample)
1173.9%60–84%46 (limited sample)
1264.4%59–69%385
1368.4%59–76%114 (limited sample)
1470.9%58–81%55 (limited sample)
1567.8%58–77%90 (limited sample)
1669.2%57–79%65 (limited sample)
1768%57–77%78 (limited sample)
1864.8%57–72%139 (limited sample)
1964.8%57–72%139 (limited sample)
2066.3%56–75%95 (limited sample)
2164.2%56–71%148 (limited sample)
2261.4%56–67%319
2366.7%56–76%78 (limited sample)
2462.3%55–69%204
2560.4%54–67%212
2661.1%53–68%162
2766.7%53–78%54 (limited sample)
2865.6%53–76%61 (limited sample)
2964.2%52–75%67 (limited sample)
3070%52–83%30 (limited sample)
3159.7%51–67%139 (limited sample)
3257.9%51–64%214
3363.5%51–74%63 (limited sample)
3455.2%51–59%569
3564.7%51–76%51 (limited sample)
3661.1%51–71%90 (limited sample)
3761.1%51–71%90 (limited sample)
3860.6%50–70%94 (limited sample)
3965%50–78%40 (limited sample)
4065%50–78%40 (limited sample)
4157.6%49–65%144 (limited sample)
4258.9%49–68%107 (limited sample)
4363.6%49–76%44 (limited sample)
4464.9%49–78%37 (limited sample)
4555%49–61%238
4655.7%48–63%176
4750.8%48–54%1,030
4853.1%48–58%324
4952.9%47–58%325
5059.7%47–71%62 (limited sample)
5164.5%47–79%31 (limited sample)
5260.9%46–74%46 (limited sample)
5358.7%46–70%63 (limited sample)
5461.5%46–75%39 (limited sample)
5550.3%45–56%308
5649.7%45–55%358
5759.5%44–73%42 (limited sample)
5854.6%44–65%88 (limited sample)
5950.4%44–57%236
6057.1%43–70%49 (limited sample)
6149.1%43–55%271
6253.5%43–64%86 (limited sample)
6346.9%43–51%556
6455%42–67%60 (limited sample)
6546.6%42–51%552
6655.6%42–68%54 (limited sample)
6756.8%42–70%44 (limited sample)
6850.9%42–60%108 (limited sample)
6948.6%41–56%181
7046.2%41–51%385
7148.8%40–57%129 (limited sample)
7252.4%40–64%63 (limited sample)
7342.9%40–46%1,035
7444%40–48%509
7554.1%38–69%37 (limited sample)
7646.1%38–54%141 (limited sample)
7752.5%37–67%40 (limited sample)
7844.7%35–55%94 (limited sample)
7939%34–44%326
8046.8%33–61%47 (limited sample)
8147.5%33–63%40 (limited sample)
8238.9%33–45%234
8337.8%33–43%320
8436%32–40%672
8537.3%32–43%319
8637.6%30–46%141 (limited sample)
8733.9%30–38%505
8840.9%30–53%66 (limited sample)
8942.2%29–57%45 (limited sample)
9034.3%28–41%198
9129.4%27–32%894
9241.2%26–58%34 (limited sample)
9336.4%24–51%44 (limited sample)
9429.4%24–36%214
9537.5%23–55%32 (limited sample)
9636.4%22–53%33 (limited sample)
9729.2%22–38%120 (limited sample)
9834.4%20–52%32 (limited sample)
9924.5%19–31%192
10020.5%17–25%376

7 more brawlers were seen on In Demand with fewer than 30 games and are not rated.

How to use these numbers

These are observed results, not a prediction. A win rate also reflects who played the brawler and the drafts it was picked into: a brawler that is usually chosen as a counter will look stronger than it would as a blind first pick.

Use the table to shortlist brawlers for In Demand, then decide from your draft: what was banned, what your team needs and what the enemy picked. That last step is what the BrawlPick picker does for you — it weighs these numbers together with counters, synergy and role balance, so its recommendation is not simply this table sorted by win rate.

About this data

Source:
battle logs from the official Brawl Stars API, collected by BrawlPick. Not copied from another site.
Players:
seeded from BrawlPick users, public leaderboards and top clubs, then widened to the players they met. Likely skewed toward more active, higher-skill players; not a random sample.
Battles:
every 3v3 battle with a win or loss (Ranked and regular matches), each counted once even if seen through several players. These numbers come from battles played Sep 17 – Oct 7, 2026.
Win rate:
share of a brawler's appearances where its team won. Both teams are counted, so the average is about 50%. "Games" is the number of appearances.
Pick rate:
how often a brawler was picked per 100 battles in the same scope. Every battle has six brawlers, so the pick rates of all brawlers add up to about 600%; a brawler on both teams of one battle counts twice.
Battle counts:
unique battles, recovered from the stored pick rates (which share the battle count as denominator): exact only when the rounded rates allow no other number, "≈" when they leave a small range, left out otherwise. "Brawler appearances" counts each of the six brawlers in a battle separately.
Small samples:
win rates are only shown from 30 games; the 95% range shows the remaining uncertainty, and lists are ordered by its low end. That reduces, but does not remove, the chance of a small sample ranking high.
What it cannot tell you:
the range only covers sampling noise. It does not correct for who played a brawler, the drafts it was picked into, the same players appearing in many battles, or balance changes during the collection period.
Game version:
not recorded per battle. If a balance update landed during the collection period, the numbers mix battles from before and after it.

Full methodology: how BrawlPick works.

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