Why are there so many pitfalls in ranking? ——In-depth analysis of game matching mechanism and player behavior
Recently, the discussion about the phenomenon of "cheating teammates" in game ranking has once again become a hot topic. Whether it's "Honor of Kings", "League of Legends" or "Everlasting", players generally complain about poor ranking experience and unreasonable matching mechanisms. This article will explore the reasons behind this phenomenon through structured data analysis and combined with the hot content of the entire network in the past 10 days.
1. Statistics of negative feedback from popular game ranking matches (last 10 days)
Game name | Amount of related topics | Main points of complaint | Proportion of negative emotions |
---|---|---|---|
King of Glory | 128,000 | Matching imbalance and AFK behavior | 67% |
League of Legends | 94,000 | Teammates fail, ELO mechanism | 72% |
Eternal calamity | 53,000 | The rank gap is too large | 58% |
2. The main reasons for the "pit" phenomenon in qualifying
1.Matching mechanism flaws: Most games use the ELO or MMR scoring system, but in actual matching, the rank gap is often too large. For example, diamond players are matched with platinum teammates, resulting in uneven competitive levels.
2.Player behavior issues: According to community feedback, the following behaviors most affect the game experience:
negative behavior type | frequency of occurrence | Degree of influence (1-5) |
---|---|---|
Deliberately giving away someone's head | high frequency | 5 |
On-hook/disconnected | Medium and high frequency | 4.5 |
refuse to communicate | extremely high | 4 |
3.time factor: Data shows that the negative ratings of ranked matches during weekends and evening peak hours are 40% higher than on weekdays, which is directly related to player density and server pressure.
3. Statistics on improvement suggestions put forward by players
Suggested content | support rate | Difficulty of implementation |
---|---|---|
Optimized matching algorithm | 89% | high |
Strengthen the punishment mechanism | 76% | middle |
Increase reputation system rewards | 68% | Low |
4. Psychological factors and solutions
1.Dunning-Kruger Effect: Many players overestimate their own abilities and blame their teammates for failures. Data shows that 70% of the players who complained were actually 1-2 levels lower than their self-assessment.
2.solution:
• Provide a more transparent review of battle data
•Introducing AI real-time behavior detection system
• Optimize the reporting feedback mechanism (currently only 30% of reports can receive clear processing results)
5. Latest developments from developers
According to official news, many game companies have begun testing improvement plans: "Honor of Kings" plans to introduce "peak match optimization" in the S35 season, and "League of Legends" will upgrade the "player behavior detection system V3". Whether these changes can truly improve the ranked experience remains to be seen.
In general, the phenomenon of "lots of ranking pits" is the result of the combination of matching mechanisms, player behavior and psychological factors. To fundamentally solve this problem requires the joint efforts of developers and the player community. It is recommended that players maintain a good attitude, choose a suitable time period for ranking, and report game problems through formal channels.
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