Rocket League 2v2 Research Built From Real Replay Data.
Pacifist Labs tests the ideas behind better Rocket League 2v2 decisions against real match outcomes instead of relying on opinion, rank mythology or whichever playstyle is currently popular.
Winners, losers, ranks, professional players and different eras are compared so strong findings can reinforce, challenge or refine the wider Pacifist System®.
Ranked 2v2 · Paired winner/loser analysis · Rank to professional cohorts · Findings updated as the dataset grows
This interface is illustrative. Every published result is calculated from the underlying replay dataset.
Rocket League Spacing Isn’t One Fixed Distance.
The latest Pacifist Labs study starts with 10,882 replay files and uses 10,488 deduplicated 2026 matches to test one of Rocket League’s vaguest coaching rules: how far apart should teammates actually be?
Better players were generally closer overall, but raw teammate distance was basically a coin flip at elite level. Longitudinal depth — how much of the spacing sits behind first man — showed a much stronger relationship with winning and remained after matching teams for attacking-half time.
Read The Full Spacing StudyTurn The Research Towards Your Own Game.
Upload one standard Rocket League 2v2 replay and Pacifist Labs will compare your playstyle with the featured professional cohort. It is a free first look at the same evidence-first approach used throughout the wider system.
Which RL Pro Do You Play Like?
Upload one Rocket League 2v2 replay and compare the way you actually play against 12 featured professional profiles.
See which featured professional profile your replay most closely resembles.
PC required to upload your Rocket League replay file.
Stop 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?
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?
Compare cohorts from lower ranks through elite and professional play to show which habits change, disappear or become more important.
What Changes With The Meta?
Compare different eras so the analysis does not assume that the strongest relationship in one season will remain the strongest forever.
Six Examples From A Much Larger Set Of Replay Metrics.
The six measures below show only part of what Pacifist Labs analyses. 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 %
This measures how often a player maintains a useful position behind the ball rather than becoming stranded ahead of the play.
Central Support
This measures how centrally a player supports the play instead of drifting into positions that reduce coverage and options.
Distance To Ball
This tracks how close players operate to the ball and whether that proximity changes across winners, ranks and elite players.
Distance To Teammate
Team spacing is expressed as a measurable distance instead of vague advice about being “too close” or “too far away”.
Speed And Boost
Movement and resource-use metrics are tested against outcomes rather than assuming that faster always means better.
Pacifist Score
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.
Every replay produces two linked observations, the winner and the loser. Keeping those teams paired preserves the match context. That makes the analysis more useful than treating every team as an unrelated data point.
Parse The Replay
Convert the raw replay into consistent team and player metrics without manually scoring the match.
Pair Winner And Loser
Keep both sides of the same match linked so the comparison reflects the competitive context they actually shared.
Test The Difference
Compare distributions, effect sizes and the percentage of matches where the higher-metric team actually won.
Report Uncertainty
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.
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
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.
This is an observational relationship, not proof that artificially increasing one percentage will directly cause a win.Average Speed Was 0 For 6
Higher-ranked players were faster. The faster team within the same level did not consistently win across the six tested 2026 cohorts.
Speed remains a high-level capacity. The data does not support treating permanent speed as a universal decision rule.Higher Pacifist Score Won 67.76% Of Non-Tied Matches
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.
Pacifist Score combines several behaviours, so this does not prove that every component independently causes victories.Built To Survive More Than A Screenshot.
The aim is to use methods that can be explained, repeated and challenged. That standard still applies when the result does not support the original hypothesis.
This robust test compares paired winner/loser differences without assuming every metric follows a perfect normal distribution.
A second view of the same paired comparison checks whether the conclusion depends heavily on one statistical method.
Statistical significance is not enough. Labs also reports how large the difference is and how uncertain that estimate remains.
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. The same person created both the system and the research programme. 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
Continue growing the ranked, elite and professional 2v2 datasets. 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, Pacifist Score and Pacifist Dojo
Rocket League 3v3 Research
Once the 2v2 framework has been tested across larger and more varied samples, Pacifist Labs will begin a dedicated 3v3 programme. 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
The objective is not to publish one permanent answer. Pacifist Labs will keep testing the game so the research can remain current, useful and honest as Rocket League evolves.
Learn It. Measure It. Train It. Keep Testing It.
The Pacifist System® now connects four layers. The Digital Book teaches the framework, Pacifist Score measures how it appears in your own replays, Pacifist Dojo turns those findings into a personalised 4-week training programme and Pacifist Labs keeps testing the underlying ideas against real match data.
The Digital Book
Learn the complete high-percentage 2v2 decision-making framework, including roles, positioning, rotations, blueprints, drills and the repeatable principles behind The Pacifist System®.
Explore The Digital BookPacifist Score
Upload your own replays and measure the behaviours inside your actual games. Score identifies strengths, weaknesses and recurring patterns instead of relying on rank or guesswork alone.
Explore Pacifist ScorePacifist Dojo
Turn the weaknesses Score finds into a personalised 4-week training programme. Dojo focuses your sessions on your three biggest development priorities and lets you check how those numbers change as you train.
Explore Pacifist DojoPacifist Labs
Test the ideas behind the framework against real match outcomes across winners, losers, ranks, players and eras. Strong findings can then feed back into the Book, Score and Dojo as the evidence base grows.
You are viewing the research layer.Pacifist Labs FAQ.
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.
How Does Pacifist Labs Connect To Score And Dojo?
Labs is the research layer. The Digital Book teaches the framework, Pacifist Score measures how you apply it in your own replays and Pacifist Dojo turns the weaknesses Score identifies into a personalised 4-week training programme. Labs keeps testing the underlying ideas so the wider system can continue to evolve with the evidence.
Does The Research Prove The Pacifist System® Works?
No single observational replay dataset can prove that a coaching system causes wins. 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?
Missing values are not treated as zero. Instead, that replay is excluded only from the calculation requiring the missing metric. The valid sample size is reported separately.
Publication And Future Work
Where Can I Read The First Published Data Study?
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?
Yes, once the 2v2 programme has been rigorously tested, dedicated 3v3 research will begin. The 2v2 dataset will continue to grow and be re-tested alongside it.
Will The Research Be Published?
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.
Use The Same Evidence-First Approach On Your Own Replays.
Labs tests the wider framework. Pacifist Score measures how those ideas appear in your own matches, and Dojo turns the weaknesses it finds into structured training.