This study explores 3v3 trophy progression in Brawl Stars, a popular mobile game, using computer simulations to analyze how players with varying skill levels (win rates) progress in the game’s trophy system. Our simulations show that players with an average skill level (50% win rate) can make limited progress, requiring significant playtime to achieve meaningful milestones. In contrast, players with higher skill levels (above 60% win rate) progress much faster, leading to a naturally stratified player base. We explore how win streak bonuses impact 3v3 trophy progression, providing faster advancement for skilled players, and examine the distribution of trophies across the player population. Our findings suggest that the 3v3 trophy system strikes a balance between accessibility for slightly-above-average players and rewarding higher-skilled players.
Competitive games need reliable systems to rank players and create fair matches. Brawl Stars uses trophies, where players gain trophies for wins and lose them for defeats. The amount gained or lost depends on the player’s current trophy count, creating a system that aims to reflect skill level.
This paper examines:
Understanding these patterns helps explain player experiences and tests whether the trophy system effectively balances accessibility for average players with rewards for skilled ones.
Brawl Stars uses a tiered structure where rewards and penalties change based on current Brawler trophy count. Table 1 shows the complete model used in our simulation.
Table 1: Trophy Gain/Loss Structure
Trophy Range | Win Reward | Loss Penalty |
---|---|---|
0-49 | +8 | 0 |
50-199 | +8 | -1 |
200-399 | +8 | -2 |
400-599 | +8 | -3 |
600-699 | +8 | -4 |
700-799 | +8 | -5 |
800-899 | +8 | -6 |
900-999 | +8 | -7 |
1000-1099 | +8 | -8 |
1100-1199 | +7 | -11 |
1200-1299 | +6 | -13 |
1300-1399 | +5 | -16 |
1400-1499 | +4 | -19 |
1500-1599 | +3 | -22 |
1600-1699 | +2 | -25 |
1700-1799 | +1 | -28 |
1800-1899 | +1 | -31 |
1900-1999 | +1 | -34 |
2000+ | +1 | -50 |
Win streaks provide additional trophies as players consecutively win matches, rewarding players with higher skill level and dedication.
Table 2: Win Streak Bonuses
Win Streak | Extra Trophies Awarded |
---|---|
2 consecutive wins | +1 Trophy |
3 consecutive wins | +2 Trophies |
4 consecutive wins | +3 Trophies |
5 consecutive wins | +4 Trophies |
6+ consecutive wins | +5 Trophies |
We ran several simulations using Python to track trophy growth under different conditions:
Figure 1 shows the average trophy progression for 1,000 players with a 50% win rate over 500 matches, starting at 0 trophies.
The graph shows that players with an average 50% win rate can barely make any progress, only reaching 400 trophies just after finishing 100 matches (4-5 hours of play time). They would need to spend 400+ matches (20+ hours of play time) just to reach 1,000 trophies on a Brawler.
Figure 2 compares how quickly players with different win rates (50% to 80%) reach trophy milestones over 500 matches.
The differences in progression rates are substantial:
For example, reaching 1,000 trophies takes approximately:
(For reference: reaching 1,000 trophies at a perfect win streak takes about 79 matches, which is just around 3 hours)
Figure 3 shows the relationship between win rate and final trophy count for 1,000 players after 200 matches, where the win/loss outcomes are probabilistically determined based on the player’s win rate.
The data shows a linear relationship between win rate and final trophy count, which can be modeled using a linear regression. The linear fit is:
This means that as the win rate increases, the final trophy count increases in a relatively consistent manner. The model suggests that players with a higher win rate progress more quickly in terms of trophies, but the relationship is not perfectly linear, with a moderate R² value indicating some variability in the trophy count even for players with similar win rates.
Figure 4 presents the distribution of trophies across 100,000 simulated players after 200 matches.
The distribution is right-skewed, indicating that only a small percentage of players have significantly more trophies than the average. Analysis of trophy percentiles reveals:
Table 3: Trophy Percentiles
Percentile | Trophy Count |
---|---|
50th (top 50%) | 665+ |
75th (top 25%) | 810+ |
90th (top 10%) | 958+ |
95th (top 5%) | 1059+ |
99th (top 1%) | 1227+ |
99.9th (top 0.1%) | 1418+ |
These results demonstrate substantial stratification, with the top 1% of players having approximately 2 times more trophies than the median player.
Win streaks significantly boost progression, especially for players with win rates above 55%. With a 60% win rate, approximately 13% of matches are part of a streak of 3+ wins, providing substantial bonus trophies over time.
The win streak system particularly benefits players during “hot streaks,” allowing them to climb more quickly through higher trophy ranges that might otherwise be significantly harder to reach.
The results of this study show that Brawl Stars’ trophy system effectively separates players based on their skill level. Players with higher win rates tend to progress faster, while those with lower win rates take much longer to move forward. The linear relationship between win rate and trophy count, with an R² value of 0.7024, indicates that while win rate is a key factor in determining progression, other factors, like strategy or adaptability, also play a role.
The analysis also highlights how much faster players with win rates above 60% reach trophy milestones compared to those with lower win rates. Players with less than 50% win rate struggle to progress, while players with higher win rates, especially those who maintain win streaks, advance way more quickly. The win streak bonuses give a further advantage to players who can consistently perform well, speeding up their trophy progression.
The trophy distribution shows a right-skewed pattern, meaning that most players have similar, lower trophy counts, while only a few players have much higher counts. This reflects the competitive nature of the game, where the top players stand out. However, even players with lower win rates can make slow but steady progress, which keeps them engaged in the game.
Note: All simulation code used in this analysis is publicly available at this link.