Rocket League 2v2 Research Built From Real Replay Data.
Instead of relying on opinion, rank mythology or whichever playstyle is currently popular, test the ideas behind better 2v2 decisions against real replay data.
The Pacifist System® is the complete high-percentage Rocket League 2v2 decision-making framework created by AirCharged.
Pacifist Labs is the continually growing research layer behind that framework. Specifically, it analyses real Rocket League 2v2 replays across winners, losers, ranks, players and eras to test which patterns are associated with success.
It is not a public analysis sandbox that players need to operate. Instead, new replay cohorts, stronger comparisons and updated analyses are added over time so the wider system can reflect the most current evidence available in Rocket League.
Where the evidence is strong, it reinforces the framework. Where the picture is mixed, the hypothesis can change. Those findings then feed back into the Digital Book, Pacifist Score and coaching.
Continually growing research · Ranked 2v2 · Paired winner/loser analysis · Findings updated as the dataset expands · 3v3 research planned next
Therefore, this interface is illustrative; the research outputs are calculated from the replay dataset.
What Actually Wins In Rocket League 2v2?
The first major Pacifist Labs study forms part of the evidence base testing and refining AirCharged’s Rocket League 2v2 decision-making framework. It compares 2,234 paired replay reports and tests whether playing faster actually separates winners from losers inside the same rank.
The published results show a clear difference between the capacity to play quickly and using speed as a universal decision rule. Notably, Behind Ball remained significant across every tested level. By contrast, average speed did not.
However, this is a major checkpoint rather than the end of the project. The 2v2 dataset will continue to grow and be re-tested as new ranks, players, eras and replay samples are added.
Read The Full Data StudyStop Guessing What Better Rocket League Looks Like.
Rocket League advice is full of confident claims: play faster, stay closer, challenge earlier, rotate wider or rotate tighter. Instead of accepting those claims, Pacifist Labs tests them against real match outcomes. The results then support, challenge or refine the complete decision-making framework behind The Pacifist System®.
What Is Associated With Winning?
First, compare both teams inside the same replay. Then test whether the team that scored higher on a metric was actually more likely to win.
What Changes As Rank Increases?
Next, compare cohorts from lower ranks through elite and professional play. Consequently, this shows which habits change, disappear or become more important.
What Changes With The Meta?
Finally, compare different eras. Therefore, this avoids assuming that the strongest relationship in one season will remain the strongest forever.
Six Examples From A Much Larger Set Of Replay Metrics.
For example, the six measures below show only part of what Pacifist Labs analyses. Moreover, the full dataset includes many more positional, spacing, pressure, movement, boost, possession and decision-making variables. In each case, the signal is tested against match outcome.
Behind Ball %
In practice, this measures how often a player maintains a useful position behind the ball rather than becoming stranded ahead of the play.
Central Support
Meanwhile, this measures how centrally a player supports the play instead of drifting into positions that reduce coverage and options.
Distance To Ball
In addition, this tracks how close players operate to the ball and whether that proximity changes across winners, ranks and elite players.
Distance To Teammate
Similarly, team spacing is expressed as a measurable distance instead of vague advice about being “too close” or “too far away”.
Speed And Boost
By contrast, movement and resource-use metrics are tested against outcomes rather than assuming that faster always means better.
Pacifist Score
Finally, this measures how closely a team follows the decision-making principles taught in The Pacifist System® and how that relationship changes with outcome.
The Result Comes First. The Interpretation Comes After.
First, every replay produces two linked observations: the winner and the loser. In turn, keeping those teams paired preserves the match context. As a result, the analysis is more useful than treating every team as an unrelated data point.
Parse The Replay
First, convert the raw replay into consistent team and player metrics without manually scoring the match.
Pair Winner And Loser
Next, keep both sides of the same match linked so the comparison reflects the competitive context they actually shared.
Test The Difference
Then compare distributions, effect sizes and the percentage of matches where the higher-metric team actually won.
Report Uncertainty
Finally, use confidence intervals, sensitivity tests and multiple-testing correction instead of treating every small difference as meaningful.
Some Patterns Are Strong. Others Are Changing. Several Remain Open.
Therefore, Labs separates repeated evidence from changing or unresolved signals. Each result can strengthen, qualify or update the framework instead of being presented as a finished conclusion.
Behind Ball Separated Winners At 6 Of 6 Ranks
Notably, the higher Behind Ball team won more often from Platinum 1 through Professional play across the tested levels. Moreover, every result remained significant after correcting for the wider set of tested metrics.
Nevertheless, this is an observational relationship, not proof that artificially increasing one percentage will directly cause a win.Average Speed Was 0 For 6
In comparison, higher-ranked players were faster. However, the faster team within the same level did not consistently win across the six tested 2026 cohorts.
Nevertheless, speed remains a high-level capacity. Therefore, the data does not support treating permanent speed as a universal decision rule.Higher Pacifist Score Won 67.76% Of Non-Tied Matches
Overall, across 2,156 valid paired reports with complete composite data, the higher Pacifist Score team won more than two thirds of non-tied matches. Therefore, the composite score was a strong separator in this dataset.
However, Pacifist Score combines several behaviours, so this does not prove that every component independently causes victories.Built To Survive More Than A Screenshot.
In other words, the aim is to use methods that can be explained, repeated and challenged. Even so, that standard still applies when the result does not support the original hypothesis.
For example, this robust test compares paired winner/loser differences without assuming every metric follows a perfect normal distribution.
Meanwhile, a second view of the same paired comparison checks whether the conclusion depends heavily on one statistical method.
However, statistical significance is not enough. In addition, Labs reports how large the difference is and how uncertain that estimate remains.
Finally, when many metrics are tested together, p-values are adjusted to reduce the chance of treating random noise as a discovery.
The Data Can Support A Hypothesis Without “Proving” It.
Because Pacifist Labs exists to test and improve The Pacifist System®, transparency matters even more. Moreover, the same person created both the system and the research programme. Therefore, the analysis should be judged on the dataset, method and result rather than on whether a finding is convenient.
- Report findings that support or weaken a hypothesis.
- Separate correlation from causation.
- Show uncertainty, sample size and effect magnitude.
- Compare rank, era and player cohorts where the data allows.
- Keep incomplete metrics out of calculations rather than zero-filling.
- Claim that one metric alone causes players to win.
- Treat a small p-value as proof that a coaching claim is true.
- Assume elite-player behaviour automatically works at every rank.
- Hide null or contradictory results because they are inconvenient.
- Replace coaching judgement with a single number.
2v2 First. 3v3 Next. Neither Ever Treated As Finished.
The research programme is designed to keep testing and refining AirCharged’s decision-making framework rather than freeze one result in time. Each stage adds more replay data, stronger controls and new questions so the evidence can remain useful as Rocket League changes.
Rigorous 2v2 Research
First, continue growing the ranked, elite and professional 2v2 datasets. Then repeat the major comparisons and test whether the strongest signals remain stable across larger samples and future metas.
- More ranks, players, eras and replay volume
- Repeated winner-versus-loser testing
- Updated published studies as evidence changes
- Ongoing refinement of the Book and Pacifist Score
Rocket League 3v3 Research
Afterward, once the 2v2 framework has been rigorously tested, Pacifist Labs will begin a dedicated 3v3 programme. Meanwhile, the 2v2 research will continue in parallel.
- Three-player role and spacing analysis
- Rotation, pressure and cover relationships
- Rank-by-rank and era comparisons
- A separate evidence base built for standard 3v3
Ultimately, the objective is not to publish one permanent answer. Instead, the game will keep being tested closely enough for Pacifist research to remain current, useful and honest as Meanwhile, Rocket League evolves.
Research Behind The Scenes. Better Tools In Front Of You.
Pacifist Labs tests and refines the framework in the background. The Digital Book teaches it, Pacifist Score measures it in player replays and coaching makes it specific to the individual.
Pacifist Labs
Tests whether the behaviours predicted by the framework are associated with winning and how those relationships change across ranks, eras and elite players. The findings then feed back into the wider system.
Behind-the-scenes research layer.The Digital Book
Next, the Digital Book turns the coaching framework into a complete 2v2 decision-making system with drills, blueprints and in-game examples.
Explore The Digital BookPacifist Score
Finally, Pacifist Score applies the framework to your own replay and turns recurring habits into one clear development priority.
Explore Pacifist ScorePacifist Labs FAQ.
In short, these questions explain what the research can tell us, what it cannot and how the analysis is being built.
About The Research
What Is Pacifist Labs?
Pacifist Labs is the continually growing research and data-analysis layer behind The Pacifist System®, the complete high-percentage Rocket League 2v2 decision-making framework created by AirCharged. It uses real replay data to test relationships between positioning, support, pressure, spacing, speed, Pacifist Score and match outcome.
Does The Research Prove The Pacifist System® Works?
However, no single observational replay dataset can prove that a coaching system causes wins. In addition, Labs can show whether the behaviours predicted by the framework are associated with outcomes, how large those relationships are and whether they remain stable across cohorts.
Why Compare Winners And Losers From The Same Replay?
Because both teams experienced the same match, lobby and conditions, pairing preserves their shared context. Therefore, the analysis can focus on the difference between the winner and loser.
Why Compare 2024 And 2026?
Rocket League evolves. Therefore, comparing different eras helps test whether a relationship is stable or whether changes in playstyle and meta alter which behaviours are most strongly associated with winning.
Methods And Data
Why Use More Than One Statistical Test?
Likewise, different methods make different assumptions. In addition, using a primary paired non-parametric test alongside a paired t-test sensitivity check shows whether a conclusion depends heavily on one analytical choice.
What Happens When A Replay Is Missing A Metric?
For example, missing values are not treated as zero. Instead, that replay is excluded only from the calculation requiring the missing metric. Meanwhile, the valid sample size is reported separately.
Publication And Future Work
Where Can I Read The First Published Data Study?
For example, the first major Pacifist Labs article analyses 2,234 paired replay reports across ranks, professional play and different eras. Read the full Rocket League 2v2 data study here.
Will Pacifist Labs Research Rocket League 3v3?
In short, yes. Once the 2v2 programme has been rigorously tested, dedicated 3v3 research will begin. Meanwhile, the 2v2 dataset will continue to grow and be re-tested alongside it.
Will The Research Be Published?
In short, yes. Major findings will continue to be published as the dataset grows and the analyses are repeated. In the long term, the strongest and best-validated parts of the dataset may also become a formal research paper.
See What The Framework Finds In Your Own Replay.
Pacifist Labs continually tests and refines AirCharged’s Rocket League 2v2 decision-making framework. The 2v2 evidence base will keep expanding, 3v3 research will follow and Pacifist Score remains the player-facing tool for applying the same evidence-first mindset to your own replays.
