Quick answer: Lag in a multiplayer game is the delay between a player's action and seeing its result, caused by network latency (unavoidable to a degree), low server tick rates, and too much or inefficiently-sent data. You fix it on two fronts: reduce latency where possible (efficient netcode, appropriate tick rate, servers near players) and, crucially, hide the latency that remains with netcode techniques, client-side prediction, entity interpolation, and lag compensation, so the game feels responsive despite real network delay.

Lag makes multiplayer feel terrible, actions feel delayed, other players warp around, hits don't register. Some latency is physically unavoidable (data takes time to travel), so the art of good multiplayer isn't eliminating latency but hiding it. Fixing lag means both reducing the latency you can and, more importantly, using netcode techniques to make the game feel responsive despite the latency you can't.

What Causes Multiplayer Lag

Lag is delay in the network round trip from action to result. Contributors: network latency, the physical time for data to travel between players and server (distance-dependent, and worse on poor connections), this is partly unavoidable. Low tick rate, if the server updates the game state infrequently (low tick rate), there's added delay and coarseness in how often clients get updates. Bandwidth/inefficiency, sending too much data, or sending it inefficiently, causes congestion and delay, especially on limited connections. And server location, players far from the server have high latency to it.

Crucially, latency itself can't be eliminated, so a multiplayer game that does nothing to hide latency will always feel laggy. The real solution is a combination of reducing what's reducible and hiding the rest, which is what good netcode does.

How to Diagnose It

Measure latency (ping/round-trip time) and see how it relates to the lag players feel, and check your tick rate and bandwidth usage. Determine whether lag is mostly raw latency (players far from server, poor connections), a low tick rate (infrequent updates), bandwidth (too much data), or a lack of latency-hiding (the game shows raw network state with no prediction/interpolation, so all latency is felt directly). Lag that correlates with player distance/region points at latency/server location; lag everyone feels even at low ping points at missing netcode techniques or low tick rate.

Bugnet captures performance and reported issues with context, so lag complaints and their correlation with regions, connection quality, or specific conditions surface, helping you tell whether it's a latency/infrastructure problem (regional) or a netcode problem (universal). This guides whether to focus on reducing latency or hiding it.

How to Fix It

Reduce latency where you can, and hide the rest. Reduce: use an appropriate tick rate (high enough for responsive updates), make netcode bandwidth-efficient (send only what's needed, compress, prioritize), and locate servers near players (regional servers cut latency dramatically). Hide (the big one): implement client-side prediction (the client immediately shows the result of the player's own actions rather than waiting for the server round trip, eliminating the felt input delay), entity interpolation (smoothly interpolate other players' movement between updates so they move smoothly instead of warping), and lag compensation (the server accounts for clients' latency when resolving actions like hits, so shots register as the player saw them).

These latency-hiding techniques are what make a multiplayer game feel responsive despite real network delay, they're not optional for a good experience. After implementing, verify the game feels responsive even at realistic latencies, and that reducing tick rate/bandwidth/server-distance issues helped where applicable. The combination, reduce reducible latency, hide unavoidable latency with prediction/interpolation/compensation, is the foundation of good-feeling netcode.

You can't eliminate network latency, so hide it. Reduce what you can (tick rate, bandwidth, server location) and use prediction, interpolation, and lag compensation for the rest.