Basket Brawl · Not in the Ranked rotation
Best Brawlers for Triple-Double
Which brawler should you pick on Triple-Double? These are the win rates BrawlPick observed for 87 brawlers on this Basket Brawl map, from 2,239 battles. The most reliable strong performer was Gus, winning 65.3% of 225 games.
Statistics as of today
Data updated . Based on 2,239 Triple-Double battles (13,434 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.
Opens the picker with Basket Brawl and Triple-Double selected. Free, no sign-up needed.
Strongest observed brawlers on Triple-Double
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 Gus, Damian and El Primo.
| # | Brawler | Win rate | 95% range | Pick rate | Games |
|---|---|---|---|---|---|
| 1 | 70.1% | 59–79% | 3.4% | 77 (limited sample) | |
| 2 | 65.3% | 59–71% | 10.1% | 225 | |
| 3 | 65.8% | 55–75% | 3.5% | 79 (limited sample) | |
| 4 | 60.8% | 53–68% | 7.9% | 176 | |
| 5 | 61.7% | 53–70% | 5.7% | 128 (limited sample) | |
| 6 | 60.9% | 53–69% | 6.2% | 138 (limited sample) | |
| 7 | 63.9% | 52–74% | 3.2% | 72 (limited sample) | |
| 8 | 62.6% | 52–72% | 4.1% | 91 (limited sample) | |
| 9 | 56% | 52–60% | 29.4% | 659 | |
| 10 | 61.3% | 52–70% | 4.7% | 106 (limited sample) |
* Fewer than 150 games: a limited sample, so the range is wide.
What the data says about Triple-Double
- The most played brawler here, El Primo (659 games), ranks #9 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 Triple-Double but appear in fewer than 150 observed games, so their win rate is much less certain.
Most played on Triple-Double
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 Triple-Double 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 87 brawlers on Triple-Double
| # | Brawler | Win rate | 95% range | Pick rate | Games |
|---|---|---|---|---|---|
| 1 | 70.1% | 59–79% | 3.4% | 77 (limited sample) | |
| 2 | 65.3% | 59–71% | 10.1% | 225 | |
| 3 | 65.8% | 55–75% | 3.5% | 79 (limited sample) | |
| 4 | 60.8% | 53–68% | 7.9% | 176 | |
| 5 | 61.7% | 53–70% | 5.7% | 128 (limited sample) | |
| 6 | 60.9% | 53–69% | 6.2% | 138 (limited sample) | |
| 7 | 63.9% | 52–74% | 3.2% | 72 (limited sample) | |
| 8 | 62.6% | 52–72% | 4.1% | 91 (limited sample) | |
| 9 | 56% | 52–60% | 29.4% | 659 | |
| 10 | 61.3% | 52–70% | 4.7% | 106 (limited sample) | |
| 11 | 56.7% | 50–63% | 9.7% | 217 | |
| 12 | 56.7% | 50–63% | 9% | 201 | |
| 13 | 66.7% | 50–80% | 1.5% | 33 (limited sample) | |
| 14 | 57.5% | 49–66% | 5.4% | 120 (limited sample) | |
| 15 | 52.7% | 48–57% | 21.3% | 476 | |
| 16 | 62% | 48–74% | 2.2% | 50 (limited sample) | |
| 17 | 58.2% | 47–68% | 3.5% | 79 (limited sample) | |
| 18 | 51.9% | 47–57% | 18.6% | 416 | |
| 19 | 52.3% | 47–57% | 15.6% | 350 | |
| 20 | 58.3% | 47–69% | 3.2% | 72 (limited sample) | |
| 21 | 57.7% | 47–68% | 3.5% | 78 (limited sample) | |
| 22 | 54.7% | 46–63% | 6.2% | 139 (limited sample) | |
| 23 | 54.7% | 46–63% | 6.2% | 139 (limited sample) | |
| 24 | 52.6% | 46–59% | 9.4% | 211 | |
| 25 | 55.6% | 46–65% | 4.4% | 99 (limited sample) | |
| 26 | 50.2% | 46–55% | 20.4% | 456 | |
| 27 | 51% | 45–57% | 13.9% | 312 | |
| 28 | 59.2% | 45–72% | 2.2% | 49 (limited sample) | |
| 29 | 50.1% | 45–55% | 17% | 381 | |
| 30 | 55.6% | 45–66% | 3.6% | 81 (limited sample) | |
| 31 | 53% | 45–61% | 6% | 134 (limited sample) | |
| 32 | 56.9% | 44–69% | 2.6% | 58 (limited sample) | |
| 33 | 51.1% | 44–58% | 8.1% | 182 | |
| 34 | 50.3% | 43–57% | 8.9% | 199 | |
| 35 | 48.2% | 43–54% | 15.2% | 340 | |
| 36 | 51.1% | 43–59% | 6.3% | 141 (limited sample) | |
| 37 | 54.2% | 43–65% | 3.2% | 72 (limited sample) | |
| 38 | 54.3% | 43–65% | 3.1% | 70 (limited sample) | |
| 39 | 51.8% | 43–61% | 5% | 112 (limited sample) | |
| 40 | 46.4% | 43–50% | 27.7% | 621 | |
| 41 | 54.8% | 42–67% | 2.8% | 62 (limited sample) | |
| 42 | 50.3% | 42–58% | 6.7% | 149 (limited sample) | |
| 43 | 50.8% | 42–59% | 5.5% | 124 (limited sample) | |
| 44 | 50.9% | 42–60% | 5.1% | 114 (limited sample) | |
| 45 | 50% | 42–58% | 6.2% | 138 (limited sample) | |
| 46 | 48% | 41–55% | 9% | 202 | |
| 47 | 46.4% | 41–52% | 13.8% | 308 | |
| 48 | 52.1% | 41–63% | 3.3% | 73 (limited sample) | |
| 49 | 48.1% | 40–56% | 7% | 156 | |
| 50 | 50.6% | 40–61% | 3.9% | 87 (limited sample) | |
| 51 | 49.5% | 40–59% | 4.6% | 103 (limited sample) | |
| 52 | 47.4% | 40–55% | 6.8% | 152 | |
| 53 | 45.2% | 39–51% | 11.6% | 259 | |
| 54 | 44.2% | 39–50% | 14.6% | 326 | |
| 55 | 44.5% | 39–50% | 12.6% | 283 | |
| 56 | 46.4% | 39–54% | 6.7% | 151 | |
| 57 | 44.7% | 38–51% | 10.2% | 228 | |
| 58 | 52.3% | 38–66% | 2% | 44 (limited sample) | |
| 59 | 43% | 37–49% | 12.7% | 284 | |
| 60 | 49.2% | 37–61% | 2.7% | 61 (limited sample) | |
| 61 | 50% | 37–63% | 2.3% | 52 (limited sample) | |
| 62 | 42.8% | 36–50% | 8.7% | 194 | |
| 63 | 47.5% | 35–60% | 2.6% | 59 (limited sample) | |
| 64 | 51.5% | 35–67% | 1.5% | 33 (limited sample) | |
| 65 | 44.2% | 35–54% | 4.6% | 104 (limited sample) | |
| 66 | 41.5% | 34–49% | 7.6% | 171 | |
| 67 | 50% | 34–66% | 1.4% | 32 (limited sample) | |
| 68 | 42.6% | 33–52% | 4.5% | 101 (limited sample) | |
| 69 | 43.2% | 33–54% | 3.9% | 88 (limited sample) | |
| 70 | 45.5% | 33–59% | 2.5% | 55 (limited sample) | |
| 71 | 44.4% | 33–57% | 2.8% | 63 (limited sample) | |
| 72 | 44.9% | 32–59% | 2.2% | 49 (limited sample) | |
| 73 | 44.9% | 32–59% | 2.2% | 49 (limited sample) | |
| 74 | 43.1% | 31–56% | 2.6% | 58 (limited sample) | |
| 75 | 41.3% | 30–54% | 2.8% | 63 (limited sample) | |
| 76 | 37.7% | 30–47% | 5.5% | 122 (limited sample) | |
| 77 | 44.4% | 30–60% | 1.6% | 36 (limited sample) | |
| 78 | 35.7% | 29–43% | 8.3% | 185 | |
| 79 | 41.3% | 28–56% | 2.1% | 46 (limited sample) | |
| 80 | 35.2% | 27–44% | 5.6% | 125 (limited sample) | |
| 81 | 35.3% | 27–44% | 5.3% | 119 (limited sample) | |
| 82 | 36.2% | 25–49% | 2.6% | 58 (limited sample) | |
| 83 | 34.7% | 23–49% | 2.2% | 49 (limited sample) | |
| 84 | 33.3% | 20–50% | 1.5% | 33 (limited sample) | |
| 85 | 30.8% | 19–46% | 1.7% | 39 (limited sample) | |
| 86 | 25% | 16–38% | 2.5% | 56 (limited sample) | |
| 87 | 22% | 13–35% | 2.2% | 50 (limited sample) |
20 more brawlers were seen on Triple-Double 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 Triple-Double, 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.
More Basket Brawl maps and guides
Playing Triple-Double right now?
BrawlPick combines map fit with the live draft — bans, your team, the enemy picks and the brawlers you own — and recommends a brawler with the reasons behind it.
Get a recommendation for this map