The Latency Trade-Off: Quantifying Interpolation vs. Extrapolation in Game Netcode
While extrapolation theoretically eliminates perceived latency by predicting future movement, modern game engines rely on interpolation to guarantee spatial accuracy at the cost of a mandatory visual delay.
By Omar Haddad
- Interpolation Advocates
- Prioritize spatial accuracy and hit registration over absolute real-time responsiveness.
- Extrapolation Advocates
- Prioritize immediate visual feedback and bandwidth reduction through predictive algorithms.
Perspectives this story doesn't cover
- Players on high-latency connections
- Fighting game rollback netcode developers
Fast facts
- Extrapolation predicts future movement to hide latency, but fails during erratic human direction changes.
- Interpolation buffers past states to guarantee spatial accuracy, introducing a mandatory visual delay.
- Modern competitive shooters rely on interpolation for player hitboxes to preserve competitive integrity.
- A 128-tick server processes frames every 7.8 milliseconds, leaving no room for predictive spatial errors.
Players and armchair developers routinely argue that perfect netcode should simply predict where a target is going, eliminating latency entirely by projecting movement forward in time. The mathematics of modern game engines prove the exact opposite. When a competitive server processes updates in 7.8-millisecond windows to maintain a 128-tick rate, predicting the future—a technique known as extrapolation—introduces spatial errors that ruin competitive integrity. Instead, developers are forced to rely on interpolation, a system that intentionally delays the visual state to guarantee accuracy.
In a high-stakes environment, a player moving at 400 in-game units per second covers significant ground between network packets. If the client guesses wrong about a change in direction, the resulting server correction snaps the character model across the screen, turning a clean headshot into a miss. This rubber-banding effect is the direct consequence of a failed prediction. To prevent this, engines buffer incoming data, rendering the game slightly in the past so that every movement shown on screen has already been validated by the server.
The trade-off between these two methods defines how every major multiplayer title feels. Valve's Source engine, which powers some of the most enduring tactical shooters, defaults to a command packet rate of 30 packets per second. Bridging the gap between that 33-millisecond client update rate and a 66-tick or 128-tick server requires the engine to either wait for the next packet or guess where the player is going.[5]
According to documentation from Valve's Developer Community, "the client sends command packets at a certain rate of packets per second (usually 30)." Because network bandwidth is limited, the server cannot broadcast a new snapshot for every single micro-movement. When those packets arrive at the client, the engine must stitch them together. If a packet drops, the system faces an immediate choice: freeze the character, guess the trajectory, or rely on a pre-established buffer to smooth over the gap.[5]
Epic Games approaches this exact problem in Unreal Engine 5 by utilizing a predictive interpolation buffer. When a client receives data from a server-authoritative object, the engine does not immediately render it at the exact timestamp. As Epic Games engineers note in their 2026 network physics documentation, "we forward predict the received state-data by half the round trip time." This calculation ensures that the visual representation accounts for the transit time of the packet, while still relying on hard data rather than pure speculation.[4]
Epic Games approaches this exact problem in Unreal Engine 5 by utilizing a predictive interpolation buffer.
Extrapolation, or dead reckoning, takes the opposite route. By calculating a trajectory based on the last known velocity, the client attempts to hide the network delay entirely. A 2009 USENIX research paper on peer-to-peer dead reckoning demonstrated that this method works flawlessly for entities with high inertia. A vehicle driving in a straight line at 60 miles per hour will likely continue in a straight line for the next 50 milliseconds, making extrapolation highly efficient for offloading server calculations.[3]
However, human movement in an esports title is entirely non-linear. A player executing a rapid strafe mechanic changes direction in a fraction of a second, shattering the dead reckoning algorithm's prediction. Blizzard Entertainment's 2016 GDC Vault presentation on the gameplay architecture of Overwatch explicitly highlighted this vulnerability. The development team prioritized interpolation for player entities, ensuring that erratic human movement was buffered and rendered accurately, rather than guessed and corrected.[2]
The spatial error introduced by a failed extrapolation scales linearly with the player's velocity and the network latency. If a client predicts a player will continue moving left for 40 milliseconds, but the player actually stopped and moved right on the server, the client's rendered position drifts further from reality with every passing millisecond. When the next authoritative packet arrives, the engine is forced to instantly teleport the model to the correct coordinates, destroying any chance of visual tracking.
Unity's Netcode for GameObjects package offers developers the ability to toggle between these modes, but the documentation explicitly warns about the jitter inherent to extrapolation. When a client has to catch up to the true state of a rapidly moving object, the resulting visual artifact is far more disruptive to a player's aim than a consistent, predictable delay. The human brain can adapt to a stable 30-millisecond visual lag, but it cannot adapt to a target that teleports randomly.[1]
The industry consensus in 2026 has settled on a strict division of labor between the two techniques. Game developers extrapolate predictable physics objects, like thrown grenades or moving platforms, to save bandwidth and reduce perceived lag. But for the high-frequency, unpredictable movement of a human opponent, they strictly interpolate. The mandatory visual delay of 20 to 50 milliseconds is the necessary price for mechanical truth, ensuring that when a player pulls the trigger, the target is exactly where the screen claims it to be.
Viewpoints in depth
Interpolation (State Buffering)
Rendering the game slightly in the past to guarantee spatial accuracy.
For: Guarantees that what the player sees actually occurred on the server. By buffering packets and delaying the visual representation by a set margin—often half a Round Trip Time (RTT)—engines like Unreal and Unity create a perfectly smooth trajectory between two known points. This eliminates rubber-banding entirely, provided the packet arrival rate remains stable. Against: Introduces mandatory visual latency. A 50ms buffer means the player is always shooting at a ghost that is 50ms behind the server's reality. In a 128-tick environment where frames process every 7.8ms, this artificial delay represents over six frames of lost reaction time. Evidence: Blizzard's Overwatch architecture relies heavily on interpolation for player characters, prioritizing hit registration over absolute real-time positioning. Fits well when: Tracking erratic, unpredictable human movement in competitive tactical shooters. Does not fit when: Network jitter exceeds the buffer size, causing the client to exhaust its stored packets and stall the rendering pipeline.
Extrapolation (Dead Reckoning)
Predicting future positions based on current velocity to eliminate perceived latency.
For: Visually eliminates latency by projecting the entity forward in time. If a packet is delayed, the client simply continues the trajectory based on the last known velocity vector, keeping the game feeling immediately responsive and masking minor packet loss. Against: Human movement is non-linear. When a player rapidly changes direction, the client's prediction fails, resulting in a rubber-banding snap when the server forces a correction. A USENIX study on peer-to-peer dead reckoning highlights that spatial error thresholds are easily breached by erratic strafing, creating visual jumps that exceed the size of a player hitbox. Evidence: Valve's Source engine utilizes extrapolation primarily for linear physics objects or during severe packet loss, but avoids it for precise player hitboxes. Fits well when: Simulating vehicles, projectiles, or objects with high inertia and predictable paths. Does not fit when: Players are executing high-frequency strafe mechanics, as the forced server corrections destroy visual tracking.
Sources
[1]UnityInterpolation AdvocatesInterpolation and extrapolation
Read on Unity →
[2]GDC VaultInterpolation Advocates'Overwatch' Gameplay Architecture and Netcode
Read on GDC Vault →
[3]USENIXExtrapolation AdvocatesOffloading AI for Peer-to-Peer Games with Dead Reckoning
Read on USENIX →
[4]Epic GamesInterpolation AdvocatesNetworked Physics Replication in Unreal Engine
Read on Epic Games →
[5]ValveExtrapolation AdvocatesSource Multiplayer Networking
Read on Valve →
[6]Factlen Editorial TeamSynthesis by Factlen editorial team
Read on Factlen Editorial Team →
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