Hot Zone · Not in the Ranked rotation
Best Brawlers for Golden Bay
Which brawler should you pick on Golden Bay? These are the win rates BrawlPick observed for 89 brawlers on this Hot Zone map, from 2,935 battles. The most reliable picks are Amber (64% of 595 games), Wendy (65.5% of 194 games) and Poco (59.9% of 524 games).
Statistics as of today
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 Hot Zone map and the mode-wide ranking.
Opens the picker with Hot Zone and Golden Bay selected. Free, no sign-up needed.
Strongest observed brawlers on Golden Bay
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 named above — the same as on this map's card — have 150+ games and a range entirely above 50%.
| # | Brawler | Win rate | 95% range | Pick rate | Games |
|---|---|---|---|---|---|
| 1 | 68.8% | 60–76% | 4.3% | 125 (limited sample) | |
| 2 | 64% | 60–68% | 20.3% | 595 | |
| 3 | 65.5% | 59–72% | 6.6% | 194 | |
| 4 | 59.9% | 56–64% | 17.9% | 524 | |
| 5 | 58% | 55–61% | 35.8% | 1,051 | |
| 6 | 59.7% | 54–65% | 11.8% | 347 | |
| 7 | 63% | 54–72% | 3.7% | 108 (limited sample) | |
| 8 | 54.9% | 52–58% | 30.1% | 883 | |
| 9 | 63% | 52–73% | 2.5% | 73 (limited sample) | |
| 10 | 59.4% | 52–67% | 5.3% | 155 |
* Fewer than 150 games: a limited sample, so the range is wide.
Golden Bay tier list from win rates
A data-based tier list from the same games as the tables on this page, not an official or community list. Each tier compares one brawler's 95% range on Golden Bay with a 50% win rate; B does not mean average, only that the range still includes 50%. A tier needs 150+ games on this map. For the whole mode, see the Hot Zone tier list.
Tier S: Clearly well above 50%
whole 95% range at least 5 points above 50% · 3 brawlersTier A: Clearly above 50%
whole range above 50% · 4 brawlersTier B: Inconclusive
range includes 50%: could be above or below, not shown to be average · 21 brawlers
Tier C: Clearly below 50%
whole range below 50% · 6 brawlers
Tier D: Clearly well below 50%
whole range at least 5 points below 50% · 4 brawlers
Limited data: no tier yet
30–149 games on Golden Bay: shown in the table, too few games for a tier.
- Starr Nova68.8%
- Doug63%
- Draco63%
- Sandy59.7%
- Clancy56.9%
- Mina56.6%
- Tara54.7%
- Stu59.6%
- Chester53.2%
- Willow59.5%
- Sprout59%
- Eve56.4%
- Pam53.1%
- Finx56.6%
- Maisie54.4%
- Damian50.8%
- Vince54.9%
- Ash53.5%
- Gigi54.4%
- Bolt49.4%
- Buster50%
- Glowy50%
- Bea48.2%
- Belle52.5%
- Mandy46.8%
- Pearl47%
- Carl44.3%
- Bull45.4%
- Rosa48.1%
- Juju50%
- Lumi46.2%
- Kaze48.7%
- Kit46.9%
- Larry & Lawrie44.1%
- Byron41.1%
- Mr. P43.4%
- Darryl41.3%
- Sirius39%
- Lily41.3%
- Buzz39.5%
- Ziggy43.8%
- Melodie41.5%
- Leon36.1%
- Piper35.2%
- Otis39.5%
- Jacky37%
- Grom32.2%
- Cordelius36.2%
- Shelly32.1%
- Max27.6%
- Meeple29%
Not rated: 19 more brawlers have fewer than 30 games on Golden Bay (or none) in this data. That says nothing about how strong they are.
What the data says about Golden Bay
- Support brawlers are over-represented at the top: 4 of the 10 strongest, against about 1.1 you would expect from their share of the full table.
- Controller brawlers are over-represented at the top: 4 of the 10 strongest, against about 2.1 you would expect from their share of the full table.
- Damage Dealer brawlers are under-represented: 0 of the 10 strongest, against about 1.9 expected.
- Popular is not the same as strong, so compare the numbers: the most played brawler here, Emz (1,264 games), ranks #14 of 89 by reliability.
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 Golden Bay but appear in fewer than 150 observed games, so their win rate is much less certain.
Most played on Golden Bay
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 Golden Bay 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 89 brawlers on Golden Bay
| # | Brawler | Win rate | 95% range | Pick rate | Games |
|---|---|---|---|---|---|
| 1 | 68.8% | 60–76% | 4.3% | 125 (limited sample) | |
| 2 | 64% | 60–68% | 20.3% | 595 | |
| 3 | 65.5% | 59–72% | 6.6% | 194 | |
| 4 | 59.9% | 56–64% | 17.9% | 524 | |
| 5 | 58% | 55–61% | 35.8% | 1,051 | |
| 6 | 59.7% | 54–65% | 11.8% | 347 | |
| 7 | 63% | 54–72% | 3.7% | 108 (limited sample) | |
| 8 | 54.9% | 52–58% | 30.1% | 883 | |
| 9 | 63% | 52–73% | 2.5% | 73 (limited sample) | |
| 10 | 59.4% | 52–67% | 5.3% | 155 | |
| 11 | 59.7% | 51–68% | 4.6% | 134 (limited sample) | |
| 12 | 55.3% | 50–61% | 10.2% | 300 | |
| 13 | 54.9% | 49–60% | 10.4% | 306 | |
| 14 | 51% | 48–54% | 43.1% | 1,264 | |
| 15 | 56.9% | 48–66% | 4% | 116 (limited sample) | |
| 16 | 55% | 47–63% | 5.1% | 151 | |
| 17 | 52.3% | 46–58% | 9.6% | 281 | |
| 18 | 53.6% | 46–61% | 6.1% | 179 | |
| 19 | 56.6% | 46–67% | 2.8% | 83 (limited sample) | |
| 20 | 53.6% | 46–61% | 5.2% | 153 | |
| 21 | 54.7% | 46–63% | 4% | 117 (limited sample) | |
| 22 | 53% | 45–60% | 5.7% | 166 | |
| 23 | 59.6% | 45–72% | 1.6% | 47 (limited sample) | |
| 24 | 52.1% | 45–59% | 6.5% | 192 | |
| 25 | 53.2% | 45–61% | 4.9% | 143 (limited sample) | |
| 26 | 49% | 44–54% | 15.6% | 459 | |
| 27 | 51.3% | 44–58% | 6.7% | 197 | |
| 28 | 51.3% | 44–58% | 6.4% | 187 | |
| 29 | 49.8% | 44–56% | 9.4% | 277 | |
| 30 | 50% | 44–56% | 8.6% | 252 | |
| 31 | 46.7% | 44–50% | 36.2% | 1,062 | |
| 32 | 47.1% | 44–51% | 27.9% | 818 | |
| 33 | 59.5% | 44–74% | 1.3% | 37 (limited sample) | |
| 34 | 59% | 43–73% | 1.3% | 39 (limited sample) | |
| 35 | 56.4% | 43–69% | 1.9% | 55 (limited sample) | |
| 36 | 53.1% | 43–63% | 3.3% | 98 (limited sample) | |
| 37 | 56.6% | 43–69% | 1.8% | 53 (limited sample) | |
| 38 | 54.4% | 43–66% | 2.3% | 68 (limited sample) | |
| 39 | 50.8% | 42–59% | 4.4% | 128 (limited sample) | |
| 40 | 48.4% | 42–55% | 8.4% | 246 | |
| 41 | 54.9% | 41–68% | 1.7% | 51 (limited sample) | |
| 42 | 53.5% | 41–66% | 2% | 58 (limited sample) | |
| 43 | 46.6% | 41–52% | 9.4% | 277 | |
| 44 | 48.2% | 41–56% | 5.6% | 164 | |
| 45 | 54.4% | 40–68% | 1.6% | 46 (limited sample) | |
| 46 | 47.7% | 40–56% | 5.2% | 153 | |
| 47 | 45.4% | 40–51% | 9.5% | 280 | |
| 48 | 45.3% | 40–51% | 9.8% | 287 | |
| 49 | 49.4% | 39–60% | 2.8% | 83 (limited sample) | |
| 50 | 43.6% | 39–49% | 12% | 351 | |
| 51 | 50% | 38–62% | 2.2% | 64 (limited sample) | |
| 52 | 50% | 38–62% | 2.2% | 64 (limited sample) | |
| 53 | 48.2% | 38–59% | 2.8% | 81 (limited sample) | |
| 54 | 52.5% | 37–67% | 1.4% | 40 (limited sample) | |
| 55 | 43.3% | 37–50% | 8.4% | 247 | |
| 56 | 46.8% | 37–57% | 3.2% | 94 (limited sample) | |
| 57 | 47% | 37–58% | 2.8% | 83 (limited sample) | |
| 58 | 44.3% | 36–53% | 4.2% | 122 (limited sample) | |
| 59 | 45.4% | 35–56% | 2.9% | 86 (limited sample) | |
| 60 | 48.1% | 35–61% | 1.8% | 52 (limited sample) | |
| 61 | 50% | 35–65% | 1.3% | 38 (limited sample) | |
| 62 | 42% | 35–50% | 5.5% | 162 | |
| 63 | 41.4% | 35–48% | 6.5% | 191 | |
| 64 | 46.2% | 35–58% | 2.2% | 65 (limited sample) | |
| 65 | 48.7% | 34–64% | 1.3% | 39 (limited sample) | |
| 66 | 46.9% | 34–61% | 1.7% | 49 (limited sample) | |
| 67 | 40.7% | 33–49% | 5.1% | 150 | |
| 68 | 44.1% | 32–57% | 2% | 59 (limited sample) | |
| 69 | 41.1% | 32–51% | 3.2% | 95 (limited sample) | |
| 70 | 43.4% | 31–57% | 1.8% | 53 (limited sample) | |
| 71 | 41.3% | 31–53% | 2.6% | 75 (limited sample) | |
| 72 | 36.1% | 31–42% | 9.9% | 291 | |
| 73 | 39% | 31–48% | 4% | 118 (limited sample) | |
| 74 | 41.3% | 30–54% | 2.2% | 63 (limited sample) | |
| 75 | 39.5% | 30–50% | 2.8% | 81 (limited sample) | |
| 76 | 34.8% | 29–41% | 9.6% | 282 | |
| 77 | 43.8% | 28–61% | 1.1% | 32 (limited sample) | |
| 78 | 41.5% | 28–57% | 1.4% | 41 (limited sample) | |
| 79 | 36.1% | 27–47% | 2.8% | 83 (limited sample) | |
| 80 | 35.2% | 26–46% | 3% | 88 (limited sample) | |
| 81 | 39.5% | 26–55% | 1.3% | 38 (limited sample) | |
| 82 | 31.7% | 25–39% | 6.2% | 183 | |
| 83 | 37% | 25–50% | 1.8% | 54 (limited sample) | |
| 84 | 32.2% | 24–41% | 3.9% | 115 (limited sample) | |
| 85 | 30.2% | 24–37% | 6.2% | 182 | |
| 86 | 36.2% | 24–50% | 1.6% | 47 (limited sample) | |
| 87 | 32.1% | 23–43% | 2.8% | 81 (limited sample) | |
| 88 | 27.6% | 18–40% | 2% | 58 (limited sample) | |
| 89 | 29% | 16–47% | 1.1% | 31 (limited sample) |
19 more brawlers were seen on Golden Bay 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 Golden Bay, 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.
For the roles a Hot Zone team usually needs, see the Hot Zone strategy on the mode page.
More Hot Zone maps and guides
- Best brawlers for Hot Zone
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- Best brawlers for Ring of FireRanked
- Best brawlers for Open BusinessRanked
- Best brawlers for In the Liminal
- Best brawlers for Quick Travel
- Best brawlers for Tread Carefully
- Best brawlers for Under Pressure
- All map statistics
- Amber stats and best maps
Playing Golden Bay right now?
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