Analyzing and Debugging Combat Attribute and Skill Anomalies in Online Games

The article begins by presenting typical player feedback on damage inconsistencies, such as high‑level players dealing low damage to weaker opponents, multi‑hit skill damage discrepancies, and perceived unfairness in PvP encounters.

It then defines combat values as the set of variables (attributes) that influence a character’s performance, describing how these attributes originate, are aggregated, and affect skill outcomes.

Next, common anomaly analysis methods are outlined, separating attribute‑related issues from skill‑settlement problems, and emphasizing the need to verify attribute correctness before suspecting skill bugs.

1. Attribute anomaly analysis – Initially, the team relied on manual observation and periodic attribute snapshots, which proved inefficient. They introduced an attribute‑monitoring log that records all players’ attributes every ten minutes and high‑priority players every minute, enabling retrospective inspection and automated detection of out‑of‑range values.

2. Skill‑settlement anomaly analysis – By logging detailed combat events—including attacker/defender attributes, buffs, used skills, and intermediate damage modifiers—the team created a “time‑machine” for skill resolution. A whitelist mechanism limits logging to selected players or specific scenes to balance performance.

Automated scripts now periodically analyze these logs to flag abnormal damage spikes or unexpected buff interactions, allowing rapid verification of player reports.

The article also discusses additional proactive measures: integrating unit tests into the settlement pipeline, adding runtime alerts for impossible attribute thresholds, and considering comprehensive player‑behavior analysis to trace the root cause of anomalies.

Finally, it reflects on broader implications such as the impact of damage anomalies on community perception, the need for clearer combat information (e.g., indicating vehicle or comeback states), and the refinement of overall combat power metrics to differentiate PvP and PvE strengths.

In conclusion, the presented logging and analysis framework aims to provide game projects with practical ideas for detecting and resolving attribute and skill‑settlement bugs, improving both QA efficiency and player experience.