Knockout · Not in the current Ranked pool
Best Brawlers for Streets With No Name
Which brawler should you pick on Streets With No Name? These are the win rates BrawlPick observed for 100 brawlers on this Knockout map, from about 4,004 battles. The most reliable strong performer was Ziggy, winning 82.4% of 68 games.
Data last updated .
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Strongest observed brawlers on Streets With No Name
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 jump to the top. The range shows how far the true win rate could plausibly be from the observed one.
| # | Brawler | Win rate | 95% range | Pick rate | Games |
|---|---|---|---|---|---|
| 1 | 82.4% | 72–90% | 1.7% | 68* | |
| 2 | 71.2% | 66–76% | 9.1% | 365 | |
| 3 | 68.9% | 65–73% | 14.6% | 586 | |
| 4 | 77.2% | 65–86% | 1.4% | 57* | |
| 5 | 66.7% | 61–72% | 7.9% | 318 | |
| 6 | 69.4% | 61–77% | 3% | 121* | |
| 7 | 70.9% | 60–80% | 2% | 79* | |
| 8 | 67.5% | 60–74% | 3.9% | 154 | |
| 9 | 62.8% | 58–67% | 10.5% | 419 | |
| 10 | 60.5% | 57–64% | 23.5% | 939 |
* Fewer than 150 games: a limited sample, so the range is wide.
What the data says about Streets With No Name
- Support brawlers are over-represented at the top: 4 of the 10 strongest, against about 1.3 you would expect from their share of the full table.
- Assassin brawlers are under-represented: 0 of the 10 strongest, against about 1.9 expected.
- The most played brawler here, Piper (2,095 games), ranks #61 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 Streets With No Name but appear in fewer than 150 observed games, so their win rate is much less certain.
Most played on Streets With No Name
Brawlers that appeared in the most observed games. Popular is not the same as strong — compare the win rates.
Lowest observed win rates
Brawlers whose win rate on Streets With No Name 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.
All 100 brawlers on Streets With No Name
| # | Brawler | Win rate | 95% range | Pick rate | Games |
|---|---|---|---|---|---|
| 1 | 82.4% | 72–90% | 1.7% | 68* | |
| 2 | 71.2% | 66–76% | 9.1% | 365 | |
| 3 | 68.9% | 65–73% | 14.6% | 586 | |
| 4 | 77.2% | 65–86% | 1.4% | 57* | |
| 5 | 66.7% | 61–72% | 7.9% | 318 | |
| 6 | 69.4% | 61–77% | 3% | 121* | |
| 7 | 70.9% | 60–80% | 2% | 79* | |
| 8 | 67.5% | 60–74% | 3.9% | 154 | |
| 9 | 62.8% | 58–67% | 10.5% | 419 | |
| 10 | 60.5% | 57–64% | 23.5% | 939 | |
| 11 | 69.4% | 55–80% | 1.2% | 49* | |
| 12 | 64.5% | 55–73% | 2.7% | 107* | |
| 13 | 60.9% | 55–66% | 6.9% | 276 | |
| 14 | 59.7% | 54–65% | 8.8% | 352 | |
| 15 | 62% | 54–69% | 3.8% | 150 | |
| 16 | 59.7% | 54–65% | 6.7% | 268 | |
| 17 | 63.8% | 54–73% | 2.4% | 94* | |
| 18 | 62% | 54–70% | 3.4% | 137* | |
| 19 | 56.8% | 54–60% | 23.5% | 940 | |
| 20 | 60.2% | 53–67% | 4.8% | 191 | |
| 21 | 57.9% | 53–63% | 9.4% | 378 | |
| 22 | 60.1% | 53–67% | 4.6% | 183 | |
| 23 | 64.3% | 53–75% | 1.8% | 70* | |
| 24 | 63.1% | 52–73% | 2.1% | 84* | |
| 25 | 58.3% | 52–64% | 5.7% | 230 | |
| 26 | 58.6% | 52–65% | 5.1% | 203 | |
| 27 | 58.4% | 52–65% | 5% | 202 | |
| 28 | 67.6% | 51–80% | 0.9% | 37* | |
| 29 | 60.3% | 51–69% | 2.9% | 116* | |
| 30 | 60.2% | 51–69% | 3% | 118* | |
| 31 | 59.8% | 51–68% | 3.2% | 127* | |
| 32 | 58.5% | 51–66% | 4.1% | 164 | |
| 33 | 58.5% | 51–66% | 4% | 159 | |
| 34 | 60.9% | 50–70% | 2.2% | 87* | |
| 35 | 55.5% | 50–61% | 8.6% | 344 | |
| 36 | 56% | 50–62% | 5.8% | 234 | |
| 37 | 62.1% | 49–73% | 1.5% | 58* | |
| 38 | 57.7% | 49–66% | 3.1% | 123* | |
| 39 | 60.3% | 48–71% | 1.6% | 63* | |
| 40 | 53.6% | 48–59% | 7% | 282 | |
| 41 | 60.7% | 48–72% | 1.4% | 56* | |
| 42 | 63.9% | 48–78% | 0.9% | 36* | |
| 43 | 54.1% | 47–61% | 5.2% | 209 | |
| 44 | 55.2% | 47–63% | 3.4% | 136* | |
| 45 | 61.9% | 47–75% | 1.1% | 42* | |
| 46 | 56.4% | 47–66% | 2.5% | 101* | |
| 47 | 52.9% | 47–59% | 6% | 240 | |
| 48 | 53.5% | 47–60% | 5% | 198 | |
| 49 | 52% | 46–58% | 7.5% | 302 | |
| 50 | 54.6% | 46–63% | 3.5% | 141* | |
| 51 | 56.3% | 46–66% | 2.4% | 96* | |
| 52 | 56.4% | 46–66% | 2.4% | 94* | |
| 53 | 58.1% | 46–70% | 1.6% | 62* | |
| 54 | 52.4% | 46–59% | 5.3% | 212 | |
| 55 | 57.6% | 46–69% | 1.7% | 66* | |
| 56 | 53.9% | 45–62% | 3.2% | 128* | |
| 57 | 49.7% | 45–54% | 10.8% | 433 | |
| 58 | 53.7% | 45–62% | 3.1% | 123* | |
| 59 | 48.3% | 45–52% | 20.2% | 809 | |
| 60 | 50.8% | 45–57% | 6.1% | 244 | |
| 61 | 46.2% | 44–48% | 52.3% | 2,095 | |
| 62 | 53% | 44–62% | 2.9% | 115* | |
| 63 | 50.5% | 44–57% | 5% | 200 | |
| 64 | 60% | 44–74% | 0.9% | 35* | |
| 65 | 51.2% | 44–59% | 4.1% | 162 | |
| 66 | 52.5% | 43–62% | 2.5% | 99* | |
| 67 | 55.8% | 42–68% | 1.3% | 52* | |
| 68 | 53.3% | 42–64% | 1.9% | 77* | |
| 69 | 53.3% | 42–64% | 1.9% | 75* | |
| 70 | 52.9% | 41–64% | 1.7% | 68* | |
| 71 | 45.3% | 41–50% | 11% | 442 | |
| 72 | 46.6% | 41–53% | 6.3% | 253 | |
| 73 | 50% | 40–60% | 2.4% | 94* | |
| 74 | 49.5% | 40–59% | 2.6% | 103* | |
| 75 | 55.6% | 40–70% | 0.9% | 36* | |
| 76 | 51.7% | 39–64% | 1.5% | 60* | |
| 77 | 44.4% | 39–50% | 8.4% | 336 | |
| 78 | 53.5% | 39–67% | 1.1% | 43* | |
| 79 | 50% | 38–62% | 1.6% | 62* | |
| 80 | 40.2% | 38–43% | 42.7% | 1,711 | |
| 81 | 46.7% | 37–56% | 2.6% | 105* | |
| 82 | 52.8% | 37–68% | 0.9% | 36* | |
| 83 | 49.1% | 36–62% | 1.4% | 55* | |
| 84 | 46.4% | 36–57% | 2.1% | 84* | |
| 85 | 41.4% | 35–48% | 5.5% | 220 | |
| 86 | 45.3% | 35–57% | 1.9% | 75* | |
| 87 | 47.9% | 34–62% | 1.2% | 48* | |
| 88 | 46.9% | 34–61% | 1.2% | 49* | |
| 89 | 40.7% | 34–48% | 4.3% | 172 | |
| 90 | 42.6% | 33–52% | 2.5% | 101* | |
| 91 | 37.9% | 33–43% | 9.3% | 372 | |
| 92 | 37.4% | 33–42% | 10.4% | 415 | |
| 93 | 33.7% | 31–37% | 24.5% | 982 | |
| 94 | 34.5% | 29–40% | 7.8% | 313 | |
| 95 | 32.3% | 29–36% | 13.8% | 551 | |
| 96 | 34.6% | 26–44% | 2.8% | 110* | |
| 97 | 36% | 26–47% | 1.9% | 75* | |
| 98 | 25.1% | 23–28% | 25.5% | 1,019 | |
| 99 | 31% | 19–46% | 1.1% | 42* | |
| 100 | 19.8% | 15–25% | 6.3% | 253 |
7 more brawlers were seen on Streets With No Name 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 Streets With No Name, 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. Mostly from the days before the update date.
- 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.
- 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.
- 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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