ARC Raiders straight record: meaning and practical use

ARC Raiders straight record: what the term means and how to use it

Inside ARC Raiders, a straight record is the unbroken sequence of encounters a player or squad survives from the moment a match begins until a deliberate extraction, a death, or a wipe. It differs from a combat record because it ignores loadout changes, item swaps, and travel detours. It tracks whether the run stayed linear, meaning the squad kept its original roster, original objective order, and original extraction plan from drop to the final decision point. A run that pauses to regroup, backtrack, or swap roles does not break the straight record, but a run that abandons the original plan and starts a new chain of decisions does. Players who chase a clean straight record usually treat it as a personal benchmark for squad coordination, while developers can use the same data as a signal of how their mission flow and encounter pacing land with experienced squads.

The phrase has gained ground in community guides because it captures a specific player intent: did the run go from start to finish in a planned order, or did it collapse into a series of improvised decisions? This article explains how the straight record is built, what it counts, what it ignores, how it compares with a kill record or a session record, and how developers can read it during playtest analysis. The goal is a working definition plus a practical workflow, so a solo player, a squad lead, or a designer can apply the term without guesswork.

What a straight record tracks in ARC Raiders

A straight record is a continuous log of one run. It begins at the deploy screen and ends at the first breaking event. Designers, players, and community writers use it to test whether a squad can hold a plan against live pressure, which is harder than completing objectives in isolation. The metric is small, but it captures something other logs miss: continuity of intent. A session record tells you what happened; a straight record tells you whether the squad meant for it to happen that way.

The four tracked states

Every second of a run sits in one of four states. A straight record treats each state differently, which is what separates it from a raw combat log or a generic session history.

Plan-locked: the squad is executing the original objective order and extraction plan without deviation.
Adaptive: the squad is still on the original plan, but a member has changed role, loadout, or position in response to a threat or opportunity.
Diverted: the squad has abandoned the original objective order and started a new chain of decisions, even if the new chain is still survivable.
Terminated: the run ended through death, wipe, forced extraction, or server-side cutoff.

Plan-locked and adaptive phases both count toward a straight record. Diverted and terminated phases do not. The transition between phases is what a designer or analyst watches during playtest review, because a plan that holds during adaptive pressure is a stronger design signal than a plan that never gets tested at all. A run that flips to diverted at minute three is not just a failed run; it is a data point about the specific encounter that caused the flip.

What the record ignores

The straight record intentionally ignores several things that other metrics care about. Keeping those elements out of the log is what makes the metric useful for a specific question: did the run stay on its declared path?

Loadout changes between phases, as long as the squad keeps the same role order.
Backtracking within a zone, because retreat is a valid adaptive response.
Healing, resupply, and ammo conservation, because they sit inside the plan rather than replacing it.
Communication changes, including callouts, ping rewrites, or command swaps, as long as the underlying objective order stays the same.

Items that do break a straight record include abandoning an objective, re-rolling the plan at a waypoint, splitting the squad for a side mission that changes the extraction plan, and a forced extraction that was not part of the original route. A solo player who revives after a death is still on the same record only if the squad keeps the same plan and the same extraction target. A common edge case is a player who drops out of voice chat mid-run: the record stays intact as long as the plan is unchanged, but the practical quality of the run usually drops with comms, so the metric is best read alongside a ping density log rather than alone.

How a straight record differs from a combat record

A combat record answers a different question, which is why the two metrics are easy to confuse. Combat records count engagements, kills, assists, damage dealt, and damage taken. Straight records count continuity of plan. A squad can have a strong combat record and a broken straight record, or a weak combat record and a clean straight record. The two metrics only align when the plan is short and lethal, which is rare in the cooperative extraction scenarios that ARC Raiders supports.

When to use each metric

Choosing the right metric depends on what the player or designer wants to learn. A wrong choice tends to flatten useful information into a single number that nobody can act on.

Use a straight record when the question is whether the squad held its plan against live pressure.
Use a combat record when the question is whether the squad could win the engagements that the game threw at it.
Use a session record when the question is how the squad performed over an evening, including loadout swaps and breaks.
Use a per-encounter log when the question is whether a specific encounter or boss landed as designed.

The four metrics also share one weakness: they all collapse complex behavior into a number. A straight record that reads “seventy percent plan-locked” is useful only if the reader knows what the remaining thirty percent looked like. Designers who treat any of these numbers as a verdict usually end up chasing the number instead of the underlying problem, which is why pair metrics are a hard rule in most playtest workflows.

Building a personal straight record workflow

A reliable workflow has three parts: a plan, a logging method, and a review step. The order matters because each step depends on the previous one. Players who skip the plan end up with a clean log that is impossible to interpret, and players who skip the review step end up repeating the same mistakes without noticing. A workflow that takes more than five minutes to set up is usually too heavy to survive a real season, so the steps below are deliberately short.

Step 1: write the plan before deploy

Before the run starts, the squad writes the objective order, the role order, and the extraction plan in plain language. The plan has to be short enough that every member can hold it in working memory. A plan that takes longer than thirty seconds to read aloud is too long, because live pressure in ARC Raiders arrives faster than a long script can be consulted.

Objective order: the sequence of zones, encounters, and pickups the squad intends to visit.
Role order: who carries which role, including scout, support, and anchor.
Extraction plan: the default extraction point, the backup extraction point, and the condition that would force a switch.

Writing the plan on paper, in a pinned chat message, or in a squad tool all work, but the format has to be identical across runs. A plan that lives in a Discord pin on Monday and in a Notion page on Wednesday will produce records that cannot be compared, because the act of writing the plan is also a data point about squad discipline.

Step 2: log the transitions during the run

During the run, one player marks the moment the squad enters a new state. The marker can be a voice callout, a timestamp, or a pinned note in a squad tool. The minimum useful log captures the timestamp, the state, and the reason. A log that only records timestamps is not enough, because the reason is what makes the data actionable during review. A common shortcut is to bind the log to the squad’s voice chat, so that every state change is followed by a short reason spoken into the channel; that single habit tends to produce the cleanest records because the reason is captured at the moment it happens.

Step 3: review the record after the run

After the run, the squad reviews the log and answers three questions. The answers are recorded next to the log so that future runs can compare against them. A record that is never reviewed is just a text file.

Where did the run leave the plan-locked state, and why?
Did the adaptive phase include any choice that the squad would change next time?
Did the run terminate, and was the termination inside the plan or outside it?

The review should happen within forty-eight hours, while the run is still in muscle memory. A squad that reviews a week later will remember the outcome but not the reasons, which is exactly the data the record was designed to preserve.

Reading a straight record during playtest

Designers can use the same framework during playtest analysis, but the focus shifts from squad discipline to encounter design. A straight record in this context is a way to see how the mission flow held up under live pressure, and which moments forced players to abandon the intended order. The same record can be read at two zoom levels: at the run level it tells the studio whether the build is in a healthy range, and at the encounter level it tells the encounter designer which specific moment broke the chain. Most of the actionable signal lives at the encounter level, which is why a single aggregated number per run is rarely useful on its own.

What a clean record tells a designer

A clean record, where the squad stays plan-locked for most of the run, suggests that the mission flow is readable and the encounter pacing matches the plan window. It also suggests that the difficulty curve is forgiving enough that the squad does not have to improvise. That is not always good, because a run that never tests adaptive pressure tells the designer very little about how the encounter will land for a new squad. A clean record on a single experienced squad is, in practice, a narrower signal than it looks: the same build on a less experienced squad may produce a very different profile, and a designer who generalizes from one squad will misread the population.

What a broken record tells a designer

A broken record, where the squad flips into diverted or terminated state early, suggests that one of three things went wrong. Identifying the right one is the difference between a useful signal and a noisy one.

The objective order was too long or too dense, so the squad could not hold it under pressure.
An encounter was too punishing at the moment the squad entered it, so the plan collapsed into survival choices.
The extraction plan was too rigid, so a small disruption forced a re-roll that broke the chain.

The three causes produce different shapes in the log. A long plan produces a steady trickle of small state changes rather than a single break, an over-tuned encounter produces a sharp break at a specific timestamp, and a rigid extraction plan produces a late-run break that looks like a single failure even though the rest of the run was clean. Reading the shape of the log is what lets a designer point at the right fix instead of patching the wrong system.

How to combine the record with other signals

The straight record is one signal, not a verdict. Pairing it with other signals avoids the trap of treating one metric as the whole picture. Useful pairings include combat record at the same timestamp, squad ping density, and server-side lag spikes. A pattern that appears in several signals at the same moment is much more actionable than a single reading. The pairing also limits a known failure mode: a squad that always plays a build defensively will produce clean straight records because the plan is short, and a designer who only looks at straight records will see the build as healthy when in fact the squad never tested the harder encounters in the first place.

Comparing straight records across squad types

Different squad types produce different straight record profiles, and comparing them helps both players and designers understand which patterns are squad-specific and which are systemic. The table below shows how a few common squad types tend to behave, using the same state model described earlier. The numbers in the table are descriptive ranges drawn from community playtest notes rather than published benchmark figures, so they should be read as a starting point for investigation rather than a target to optimize against.

Squad type comparison

Squad type	Typical plan length	Plan-locked share	Common break point	Design signal
Pre-made trio	Three to four objectives	Around seventy percent of run time	Mid-run encounter spike	Encounter tuning lands as intended for experienced squads
Solo with randoms	Two objectives plus reactive extraction	Around forty-five percent of run time	First squad death or ping conflict	Onboarding or comms tooling may need support
Coordinated five-stack	Five or more objectives with role swaps	Around sixty percent of run time	Extraction point contention	Extraction design is the bottleneck rather than encounter design
Casual duo	Two objectives plus a single flex slot	Around fifty-five percent of run time	Loot distribution or revive contention	Loot economy or revive flow may need balancing

These shares are qualitative, not benchmark numbers. A designer who copies them into a slide deck without context will misread the data. The real use of the table is to ask why a specific squad type sits in a specific band, then check whether the answer is a design issue or a player behavior issue. A second, smaller table is useful when the comparison is about patch impact rather than squad type; the format is similar but the rows are patch versions and the columns are the same state shares plus a break-point distribution.

Patch impact comparison

Build or patch	Plan-locked share	Adaptive share	Diverted share	Break-point distribution
Pre-patch baseline	Around sixty-five percent	Around twenty percent	Around fifteen percent	Spread across mid and late run
Encounter tuning patch	Around fifty-five percent	Around twenty-five percent	Around twenty percent	Sharp spike at the tuned encounter timestamp
Item economy patch	Around sixty percent	Around twenty-eight percent	Around twelve percent	Spread across the run, no single spike
Map layout patch	Around fifty percent	Around twenty percent	Around thirty percent	Early-run spike tied to extraction rewrite

The second table is more useful for live operations work than for squad play, because the row entries are builds rather than player groups. A studio that tracks both tables over a season can see, for example, that an item economy patch leaves the plan-locked share roughly stable but stretches the adaptive share, which usually means loadout choices are doing more work than before. That kind of read is hard to get from a single number per patch.

Common mistakes when reading a straight record

The metric is small, but it is easy to misuse. Most of the mistakes below come from treating the straight record as a score instead of a structured log. Each mistake has a real cost: it makes the log harder to compare, harder to act on, or both.

Treating adaptive phases as failures

An adaptive phase means the squad stayed on the original plan while changing role, loadout, or position in response to a real threat. That is a sign the plan survived pressure, which is exactly what a designer wants to see. A straight record that only counts plan-locked time and treats adaptive time as failure will overstate how well the run actually went. It will also punish the squads that are doing the most useful work, which is the opposite of what a playtest log is supposed to do.

Ignoring the reason for a state change

A timestamp without a reason is just a clock entry. A log that records “diverted at fourteen minutes” is not actionable. The review step is what turns the log into data, and the review depends on the reason. Designers who collect timestamps without reasons end up with a graph that nobody can interpret, because every break looks identical even when the underlying causes are very different. A short reason field, even a single sentence per state change, is usually enough to make the log useful.

Comparing records across different plans

Two straight records built from different plans are not directly comparable. A three-objective plan that holds for ninety percent of run time is not better than a six-objective plan that holds for sixty percent. The plan itself has to be part of the comparison, otherwise the metric loses meaning. Storing the plan as a header on the log is a simple way to avoid the trap, because the comparison then becomes “plan A held for sixty percent, plan B held for sixty percent” rather than a free-floating percentage.

Using the record as a ranking system

The straight record is not a leaderboard metric. A squad that chases a long plan-locked share will start designing runs that avoid pressure, which produces clean logs and boring playtests. The metric is a development tool, not a score. Some community sites do publish plan-locked shares as a kind of badge, and those numbers are not wrong on their own, but they should always be read next to the plan that produced them.

Straight records and community guides

Community guides that publish straight record profiles usually do two useful things and one risky thing. The useful part is that they document the plan alongside the record, so a reader can see what the squad was trying to do. The risky part is that they often quote plan-locked share without context, which makes a number look like a verdict. The Wikipedia entry for ARC Raiders is a useful background reference for the broader extraction shooter genre and how the title fits into it, especially for readers who arrived at the term from outside the community.

How to read a community straight record

When a guide publishes a straight record, the reader should look for three things before trusting the number. A guide that does not include all three is incomplete.

The plan, including objective order, role order, and extraction plan.
The state-change reasons, written in plain language.
The pair metric, usually a combat record or a per-encounter log at the same timestamps.

If any of those three are missing, the number is at best a starting point. A common shortcut for readers is to skim the break-point distribution before reading the prose, because the break-point shape usually tells the reader what the guide is going to argue without having to read the whole piece.

How to publish a straight record safely

A player or community writer who wants to publish a straight record should include the plan, the timestamps with reasons, and a short note on the squad’s prior experience. Publishing a record without the plan is the most common mistake, and it tends to spread the wrong lesson: that a high plan-locked share is always a sign of skill, when in practice it can also be a sign that the plan was easy. A short paragraph on the squad’s prior experience with the build, even two or three lines, is enough to put the record in context for a reader who has never met the squad.

Straight records in live operations

Live operations introduce patches, events, and balance changes that can shift a straight record profile between seasons. A record that held at eighty percent in season one may drop to fifty-five percent in season two because a new encounter or item changes the optimal plan. Tracking the record across patches helps a studio see whether a change improved or weakened the mission flow, but only if the plan itself is held constant. The plan is the constant; the record is the variable. A studio that does not keep the plan constant between patches will see shifts in the record that have nothing to do with the patch, which is one of the most common ways live ops data gets misread.

Patch impact on records

Patches can break a straight record in three ways. Each way produces a different pattern in the log, and the pattern is what tells a live ops analyst what kind of change the patch really was.

Encounter tuning: a previously clean plan starts breaking at a specific encounter timestamp.
Item economy: the squad’s adaptive phase gets longer because loadout choices change.
Map change: the extraction plan has to be rewritten, which forces a diverted state early in the run.

The three patterns also have different fix costs. An encounter tuning break is usually fixable in a single hotfix, an item economy break often needs a balance pass that takes longer, and a map change break usually requires the squad to rewrite its plan template, which is a process change rather than a code change. Reading the pattern correctly is what lets the team plan the fix with the right lead time.

What to watch across a season

Across a season, the most useful signal is not the plan-locked share itself, but the distribution of break points. A season that produces a wide spread of break points usually has a balanced encounter design. A season that produces a single sharp break point usually has a single encounter that is mis-tuned, and that is the encounter the next patch should address. Tracking that distribution on a wall chart, with each break point plotted on a timeline, is one of the cheapest ways to keep the playtest review honest, because the chart makes a single sharp spike impossible to argue away.

Production realities behind the metric

Studios that ship extraction shooters treat playtest logs as a production artifact rather than a research artifact. The logs feed back into encounter tuning, mission flow, and onboarding flow, and they have to be stored, versioned, and reviewed like any other production asset. A straight record that lives in a single designer’s notes is not as useful as one that lives in the shared playtest database, because the latter can be compared across seasons and across patches. The shared database also prevents the most common production mistake, which is losing the plan template between patches and ending up with a season of records that no one can compare to the previous season.

Storage and versioning

A playtest database stores straight records with a version tag that links the log to a specific build, a specific plan template, and a specific squad roster. Without those tags, the logs lose most of their value, because the next patch will produce a new set of logs that cannot be compared with the old set. A simple tag format, such as “build 1.04 / plan C / squad R7”, is enough for most teams, and the format only needs to be consistent within the team rather than across the industry.

Review cadence

Most studios that ship cooperative shooters run a playtest review every two to four weeks. The straight record is one of several signals reviewed in that meeting, alongside combat record, ping density, and server metrics. A review that only looks at one signal tends to overfit the design to that signal, which is why the straight record is always paired with at least one other measurement. Pairing also forces the team to argue about which signal matters more in a given case, which is a healthier argument than picking a single number and treating it as the truth.

Where a straight record does not apply

The metric is not a fit for every game mode or every player goal. Trying to apply it where it does not fit tends to produce a log that nobody can act on, which is worse than not collecting the log at all. The scope of the metric is part of its value, and pretending otherwise is what produces the broken logs that community guides are quick to call out.

Modes that resist the metric

Some modes are designed to break the plan, and a straight record built on top of them will always look broken. The list below is not a criticism of those modes, just a reminder that the metric has a scope.

Chaos modes that randomize objectives on every deploy.
Open-world modes where the plan is intentionally loose.
Speedrun modes where the plan is a single objective chain.
Tutorial modes where the plan is scripted by the game itself.

There is also a soft case against applying the metric to daily challenge modes, where the objective is rotated server-side. A squad can still write a plan, but the plan has to be written after seeing the challenge, which compresses the planning window and tends to produce short plans with low plan-locked share that say more about the mode than about the squad.

Player goals that resist the metric

A player whose goal is to learn the map, practice a new weapon, or test a new squad composition is not running the kind of plan the straight record is designed to capture. Those goals are valid, and the metric should not be used to rank them. A solo player who wants to learn the map will produce a long adaptive phase and a low plan-locked share, and that is fine, because the player was not chasing a clean record in the first place. The metric is a tool, not a verdict on how a player chooses to spend their session.

Practical checklist for designers and players

Both designers and players can use the same checklist, with small adjustments. The checklist is short on purpose, because a long checklist produces a long log that nobody will review. Each line is one decision, and skipping a line usually means skipping the data point that line was designed to capture.

Write the plan before deploy, including objective order, role order, and extraction plan.
Mark state changes during the run, with timestamp and reason.
Record combat record and ping density at the same timestamps.
Review the record within forty-eight hours, while the run is still fresh.
Compare the record with the prior record, holding the plan constant.
Note the break point and ask whether the break was inside the plan or outside it.
Archive the record with a version tag that links it to the build, the plan, and the roster.

Players can drop the build tag and replace it with a session tag, but the rest of the checklist holds. Designers who find the checklist too short for their team can add a line for squad composition, which is the next most common variable that confuses record comparisons.

Frequently asked questions

Does a straight record include loadout changes?

Yes, as long as the squad keeps the same role order and the same objective order. A loadout change is an adaptive choice, not a break in the plan, so it counts as plan-locked or adaptive depending on the moment it happens. A loadout change that comes with a role swap is still adaptive, not diverted, as long as the original objective order is preserved.

Does a death end a straight record?

A death ends the run, which ends the record. A revive that keeps the same plan and the same extraction target does not break the record, but the record is automatically terminated if the squad wipes or if the game forces an extraction outside the original plan. A close call is a player who self-revives with a kit: the run continues, but the record should carry a note about the self-revive so the break-point distribution is honest.

Can a solo player keep a straight record?

Yes. The metric works for solo play, because the four states still apply. The plan-locked share is usually lower for solo play, because adaptive phases are longer when there is no squad to share the load. A solo player who wants a clean record can shorten the plan to two or three objectives, which is the most reliable way to keep the metric useful without a squad to lean on.

Is a straight record the same as a speedrun record?

No. A speedrun record measures time, while a straight record measures continuity of plan. A speedrun can break the plan several times and still produce a good time, while a straight record that breaks the plan at minute one is already a broken record even if the run ends quickly. The two metrics sometimes overlap on short lethal runs, but the overlap is not reliable enough to use as a substitute.

How long should a straight record log be kept?

For development, the log should be kept for at least the next two patches, so that the design team can compare records across builds. For personal play, the log can be kept as long as the player wants to track progress, but logs that are never reviewed lose most of their value. A practical compromise is to keep the last ten logs and review them once a week, which is usually enough surface area to spot a trend without drowning in data.

Can a straight record be used for a leaderboard?

It can, but it is not a good fit. A leaderboard tends to reward players who avoid pressure, which produces clean logs and boring playtests. The metric is a development tool, not a ranking system. Community sites that publish a “cleanest run” leaderboard should at least publish the plan alongside the score, otherwise the leaderboard will reward the easiest plans rather than the best squads.

What is the most common mistake when reading a straight record?

Treating adaptive phases as failures. Adaptive phases are the parts of the run where the squad stayed on the original plan while responding to live pressure, which is the most useful signal in the log. The second most common mistake is comparing records across different plans, which flattens the metric into a number that means different things in different runs.

How does a patch change a straight record profile?

A patch can change the encounter tuning, the item economy, or the map layout, and each of those changes produces a different pattern in the log. The pattern is what tells the live ops team what kind of change the patch really was, and where the next patch should focus. Reading the pattern correctly is the difference between a one-week fix and a multi-week balance pass.

Is the straight record useful for onboarding new players?

Not directly. A new player will produce a long adaptive phase and a low plan-locked share, which is expected. The metric becomes useful for onboarding once the player has learned the plan, which usually takes several runs. Studios that want to use the metric for onboarding should run a separate “learning” plan template with a shorter objective order, so the new player’s plan-locked share is comparable across the first few sessions rather than against veteran squads.

Where can I read more about ARC Raiders design and playtests?

Community impressions and preview pieces, such as the ARC Raiders preview on Game Informer, are a good starting point for reading how experienced players describe encounter pacing and squad coordination. Combine those impressions with the playtest log framework above to turn general feedback into a structured record you can act on. The Wikipedia entry for ARC Raiders is a useful second reference for the broader genre context, especially for readers who are new to extraction shooters and want background before they start reading community guides.