Knockout · Not in the Ranked rotation

Best Brawlers for Think Ahead

Which brawler should you pick on Think Ahead? These are the win rates BrawlPick observed for 107 brawlers on this Knockout map, from 9,572 battles. The most reliable strong performer was Cosmo, winning 73.9% of 1,144 games.

Statistics as of today

Data updated October 7, 2026. Based on 9,572 Think Ahead battles (57,432 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 Knockout map and the mode-wide ranking.

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Strongest observed brawlers on Think Ahead

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 Cosmo, Wendy and Juju.

Top 10 brawlers on Think Ahead by the low end of their 95% range
#	Brawler	Win rate	95% range	Pick rate	Games
1	Cosmo	73.9%	71–76%	12%	1,144
2	Wendy	69.2%	65–73%	6.5%	621
3	Juju	68.4%	61–75%	1.7%	158
4	Gigi	64%	59–69%	3.7%	353
5	Najia	62.5%	59–66%	6.2%	597
6	Gus	60.3%	58–62%	28.7%	2,742
7	Pierce	61.5%	58–64%	10.3%	987
8	Pearl	63.1%	57–68%	3.1%	298
9	Sprout	62.3%	57–67%	4.1%	395
10	Ziggy	63.4%	57–70%	2.3%	216

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

What the data says about Think Ahead

Tank brawlers are under-represented: 0 of the 10 strongest, against about 1.5 expected.
The most played brawler here, Piper (5,009 games), ranks #79 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 Think Ahead but appear in fewer than 150 observed games, so their win rate is much less certain.

Promising brawlers on Think Ahead with limited samples
Brawler	Win rate	95% range	Games
Clancy	64.1%	48–77%	39 (limited sample)
Buster	62.4%	54–70%	141 (limited sample)
Finx	61.1%	53–69%	149 (limited sample)
Ollie	59.4%	51–67%	133 (limited sample)
Pam	57.8%	48–67%	102 (limited sample)

Most played on Think Ahead

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

Most played brawlers on Think Ahead
Brawler	Win rate	95% range	Pick rate	Games
Piper	44.6%	43–46%	52.3%	5,009
Brock	48.7%	47–50%	37.1%	3,547
Gus	60.3%	58–62%	28.7%	2,742
Edgar	28%	26–30%	27.4%	2,624
Colt	37.3%	35–39%	23%	2,199

Lowest observed win rates

Brawlers whose win rate on Think Ahead 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 Think Ahead
Brawler	Win rate	95% range	Games
El Primo	25.1%	21–29%	414
Shelly	25.6%	22–30%	524
Edgar	28%	26–30%	2,624
Frank	29%	24–34%	324
8-Bit	34%	31–37%	809

All 107 brawlers on Think Ahead

All rated brawlers on Think Ahead
#	Brawler	Win rate	95% range	Pick rate	Games
1	Cosmo	73.9%	71–76%	12%	1,144
2	Wendy	69.2%	65–73%	6.5%	621
3	Juju	68.4%	61–75%	1.7%	158
4	Gigi	64%	59–69%	3.7%	353
5	Najia	62.5%	59–66%	6.2%	597
6	Gus	60.3%	58–62%	28.7%	2,742
7	Pierce	61.5%	58–64%	10.3%	987
8	Pearl	63.1%	57–68%	3.1%	298
9	Sprout	62.3%	57–67%	4.1%	395
10	Ziggy	63.4%	57–70%	2.3%	216
11	Meeple	60.9%	56–65%	5%	476
12	Lou	63%	56–69%	2.2%	208
13	Doug	62.8%	56–69%	1.9%	183
14	Janet	61.4%	55–67%	2.8%	264
15	Eve	61.6%	55–68%	2.5%	237
16	Nori	58.8%	55–62%	7.4%	706
17	Mr. P	60.7%	55–66%	2.8%	270
18	Gray	57.8%	55–61%	10.1%	962
19	Moe	62.1%	55–69%	1.8%	169
20	Buster	62.4%	54–70%	1.5%	141 (limited sample)
21	Bonnie	59.8%	54–65%	2.9%	276
22	Belle	57%	54–60%	9.7%	924
23	Squeak	57.5%	54–61%	6.9%	656
24	Starr Nova	58.7%	53–64%	3.5%	339
25	Shade	57%	53–61%	7.1%	675
26	Cordelius	61%	53–68%	1.6%	154
27	Finx	61.1%	53–69%	1.6%	149 (limited sample)
28	Carl	57.7%	53–63%	4.1%	390
29	Gene	57.1%	53–62%	4.9%	468
30	Mina	56.6%	52–61%	5.4%	518
31	Glowy	59.2%	52–66%	2.1%	201
32	Willow	60.1%	52–68%	1.6%	153
33	Ruffs	58.4%	52–65%	2.3%	221
34	Chester	57.4%	52–63%	3.2%	305
35	R-T	59.3%	52–66%	1.7%	167
36	Nani	55.8%	52–60%	5.5%	523
37	Kit	55.7%	52–60%	5.7%	544
38	Charlie	59%	51–66%	1.7%	161
39	Kaze	57.2%	51–63%	2.8%	264
40	Ollie	59.4%	51–67%	1.4%	133 (limited sample)
41	Mico	56.3%	51–62%	3.1%	300
42	Lily	54.9%	50–59%	5.1%	483
43	Grom	55.1%	50–60%	4.3%	414
44	Bea	53.4%	50–57%	9.9%	951
45	Mandy	52.4%	50–55%	20.3%	1,942
46	Sirius	55.3%	50–61%	3.5%	333
47	Stu	53.7%	49–58%	5.6%	540
48	Otis	55.9%	49–62%	2.2%	213
49	Jae-Yong	57.1%	49–65%	1.5%	140 (limited sample)
50	Angelo	54.5%	49–60%	2.9%	277
51	Buzz	54.9%	49–61%	2.5%	237
52	Colette	52.2%	49–56%	7.3%	703
53	Lola	56.2%	49–64%	1.7%	162
54	Clancy	64.1%	48–77%	0.4%	39 (limited sample)
55	Lumi	55.9%	48–63%	1.7%	161
56	Pam	57.8%	48–67%	1.1%	102 (limited sample)
57	Fang	52%	48–56%	6.4%	610
58	Tick	51.1%	48–54%	9.3%	890
59	Bo	53%	48–58%	3.7%	353
60	Bolt	54.6%	48–61%	2.1%	198
61	Brock	48.7%	47–50%	37.1%	3,547
62	Amber	53%	47–59%	2.8%	268
63	Maisie	52.6%	47–58%	2.8%	270
64	Chuck	55.5%	47–64%	1.2%	119 (limited sample)
65	Max	51%	46–55%	4.9%	469
66	Mortis	49.6%	46–53%	9.5%	906
67	Darryl	52.1%	46–58%	2.5%	240
68	Sam	56.9%	45–68%	0.8%	72 (limited sample)
69	Griff	50.4%	45–55%	3.9%	375
70	Damian	55.8%	45–66%	0.9%	86 (limited sample)
71	Dynamike	48.5%	45–52%	7.7%	740
72	Byron	46.9%	45–49%	17.6%	1,681
73	Alli	51.8%	44–59%	1.7%	166
74	Ash	55.1%	44–66%	0.8%	78 (limited sample)
75	Poco	48.3%	44–53%	4.9%	466
76	Meg	50.5%	44–57%	2.2%	210
77	Gale	52%	43–61%	1.3%	127 (limited sample)
78	Draco	56.6%	43–69%	0.6%	53 (limited sample)
79	Piper	44.6%	43–46%	52.3%	5,009
80	Spike	45.4%	42–49%	8.5%	813
81	Surge	46.1%	42–51%	4.7%	451
82	Larry & Lawrie	48.7%	41–57%	1.6%	148 (limited sample)
83	Leon	43.3%	41–46%	13.4%	1,283
84	Penny	46.1%	40–52%	3.1%	295
85	Barley	47%	40–54%	2.1%	202
86	Bibi	46%	40–52%	2.6%	248
87	Trunk	51.5%	40–63%	0.7%	66 (limited sample)
88	Tara	47.6%	40–56%	1.5%	147 (limited sample)
89	Kenji	45.5%	40–52%	2.8%	266
90	Sandy	48.3%	39–57%	1.2%	118 (limited sample)
91	Hank	50%	39–61%	0.8%	76 (limited sample)
92	Jessie	45.4%	39–52%	2.1%	196
93	Melodie	46.9%	38–56%	1.2%	111 (limited sample)
94	Rico	39.2%	37–42%	16%	1,528
95	Berry	45.6%	37–55%	1.2%	114 (limited sample)
96	Bull	42.8%	36–50%	1.9%	180
97	Colt	37.3%	35–39%	23%	2,199
98	Jacky	45.6%	34–57%	0.7%	68 (limited sample)
99	Crow	35.6%	33–39%	10.1%	971
100	Emz	36.2%	33–40%	6.4%	616
101	8-Bit	34%	31–37%	8.5%	809
102	Rosa	39.3%	31–49%	1.2%	112 (limited sample)
103	Nita	33.1%	28–39%	2.6%	251
104	Edgar	28%	26–30%	27.4%	2,624
105	Frank	29%	24–34%	3.4%	324
106	Shelly	25.6%	22–30%	5.5%	524
107	El Primo	25.1%	21–29%	4.3%	414

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 Think Ahead, 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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