> For the complete documentation index, see [llms.txt](https://docs.yamata.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.yamata.io/yamata-nodes/reputation-system/reputation-score-ranges.md).
# Reputation Score Ranges
Reputation score ranging from **0 to 1000** is assigned to **Validating Nodes (VNs)**, which affects their rewards and their ability to participate in validation. All nodes start with a **base score** of **500** and can increase or decrease their score based on their performance.
Reputation Score Ranges
As seen in the **Reputation Table** bellow, the node's **reputation range** determines two critical factors: the **slashing tax** applied when withdrawing rewards and the potential **exclusion from validating**.
| Reputation Range | Slashing Tax | Exclusion from Validating |
| ---------------- | ------------ | ------------------------- |
| 800-1000 | 0-10% | No Exclusion |
| 600-799 | 10-20% | 1-6 hours |
| 400-599 | 20-30% | 6-24 hours |
| 200-399 | 30-50% | 1-7 days |
| 0-199 | 50-100% | 7-14 days |
***
### Reputation Calculation:
The **reputation score** is calculated as:
$$
Reputation = Base\ Score + (Success\ Points) - (Penalty\ Points) - (Inactivity \ Points)
$$
**Where:**
* **Base Score**: The starting score, which is **500** for all nodes.
* [**Success Points**](/yamata-nodes/reputation-system/reputation-gain-loss.md#vn-reputation-gain-behaviors): Earned from successful validations and challenges.
* [**Penalty Points**](/yamata-nodes/reputation-system/reputation-gain-loss.md#vn-reputation-loss-behaviors): Deducted for failed validations, invalid challenges, or misconduct.
* [**Inactivity Points**](/yamata-nodes/reputation-system/reputation-gain-loss.md#vn-reputation-loss-behaviors): Lost due to inactivity or extended downtime.
This system incentivizes good behavior while holding **VNs** accountable for failures or misconduct. The higher the reputation score, the lower the slashing and exclusion penalties, encouraging nodes to maintain their great reputation in the network.
---
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