DqSwo6...obp462YV - Kusama Validator Performance

DqSwo6...obp462YV Poor

Japan, Tokyo (Datacamp Limited)

Slot

#667

Commission

30%

Nominators

Stake

129.5K KSM

Updated

2h ago

Performance Metrics (Health: Poor)

Active Set Longevity

27 days

16.6% uptime (27 of 163 observed days)

Current streak: 25 days

Longest streak: 25 days

Commission Stability

55/100

Moderate

Change frequency: 1 per 90 days

Volatility: 4.6%

Last changed: 2026-06-23 11:10:22

Expected Returns Details

13.9% →

Estimated APY (28-day avg)

Current era rate: 13.2%

Trend: stable

Avg era reward: 895 KSM

Avg assigned stake: 9,873 KSM

Avg era point share: 0.14%

Based on 84 eras

Click for trend, ranking, and projection

Validator Self-Stake

1 KSM

Bonded by validator

💰 Validator Earnings Details

26.2 KSM

Total income · 2026-07

● Comm 26.2 ● Self 0.0

Rewards distributed: 87 KSM

vs last month: ↗ +363.1%

Click for full earnings history →

Slot Position Volatility

Medium

Avg slot: 688.7 (30 days)

90-day avg: 777.8

180-day avg: 784.9

💰 Reward Claims Status Details

⚠️ 3 eras overdue

Overdue (affects health score)

Total unclaimed: 6/84 eras

Click for timeline and details

Overall Risk (Health-Based) Details

6/10

Moderate

Health Score: 38.05/100

Used in main list "Risk Level" filter

Click for calculation details

Risk Assessment (Flags)

0/10

No risks detected

✓ No risk flags

⚠️ Unpaid Rewards: 3 eras overdue

Based on specific warning indicators

Turboflakes Grade era 9794 Details

A+

MVR: 0.27% missed

Missed Vote Ratio (para consensus) · last completed era

Nominator Stability Details

50/100

Moderate

Stable nominators: 1

Unstable nominators: 1

Total nominators: 2

Stable percentage: 50.0%

Active Set Risk Details

10/10

High risk

Largest Nominator Risk:

⚠ 100.0% of stake from one nominator

If they leave: Slot #667 → #867 (would drop out!)

Risk: CRITICAL

Recent Nominator Changes:

⚠ 100.0% from recent switchers

Some recent nominator changes

Risk: CRITICAL

Node DHT

noisy-turn-0801

Parity Polkadot v1.22.1

Network: litep2p

IPv6: -

Multi-homed: -

Source: DHT discovery (telemetry not available)

Health-Based Risk Calculation

Formula

Risk Score (0-10) = 10 - (Health Score / 10)

Your validator: 6/10 risk = 10 - (38.05/10)

Health Score Breakdown (38.05/100)

The health score combines 7 dimensions into a comprehensive performance metric:

1. Stability (30 points) 9.23/30

Longevity: 2.5/15 pts
27 days in active set over last 365 days
Commission Stability: 5.5/10 pts
1 commission changes over 180 days
Slot Volatility: 1.2/5 pts
StdDev 75.0 → 1.2 pts (Moderate volatility)

2. Reliability (33 points) 9.99/33

Era Points Consistency: 0/15 pts
No era points data
Turboflakes Grade: 10.0/10 pts
Grade A+ = 10.0 pts
MVR: 5.0/5 pts
0.27% parachain votes missed
Payout Status: -5.0 pts penalty
-5.0 pts penalty (3 overdue eras past grace period)

3. Growth (20 points) 10.41/20

APY Relative Score: 5.4/10 pts
Percentile-based APY score relative to active validators
Stake Growth: 5.0/10 pts
Placeholder while stake growth tracking is pending

4. Transparency (32 points) 5.0/32

Identity Completeness: 0.0/12 pts
No on-chain identity
Commission Transparency: 0.0/5 pts
1 commission changes in 180 days (0 pts)
Grade Trend: 5.0/5 pts
Grade improved (5 pts)
Telemetry Visibility: 0.0/5 pts
No public telemetry
Self-Stake Confidence: 0.0/5 pts
Minimal self-stake (<1%)

5. Nominator Quality (20 points) 5.0/20

Nominator Stability: 5.0/10 pts
50.0% stable nominators (90+ days)
Single-Point-of-Failure: 0.0/5 pts
Biggest nominator impact: 200 slots
Aggregate Risk: 0.0/5 pts
Aggregate unstable risk: 150 slots

6. Geographic Diversity (8 points) 6.0/8

Location Transparency: 2.0/2 pts
Known location: Japan
Country Concentration: 2.0/2 pts
Low country concentration (<20%)
Provider Concentration: 2.0/2 pts
Low provider concentration (<15%)

7. Infrastructure (8 points) 8.0/8

Client Version: 4.0/4 pts
v1.22.1-f8cfbb96055 = Latest stable (4pts)
Location Quality: 4.0/4 pts
Based on Geographic Diversity (location visibility + concentration checks)

Total Points: 53.63/146

Normalized Health Score: 38.05/100

Risk Score: 6/10

👥 Nominator Stability Analysis

STABILITY SCORE

MODERATE

STABLE (90+ DAYS)

50.0%

UNSTABLE (<90 DAYS)

50%

Why Nominator Stability Matters

Direct Impact on Your Position: Unstable nominators are more likely to switch validators, which can cause sudden drops in your backing and potentially push you out of the active set.

Health Score: Contributes 10 points to your overall health score under "Nominator Quality" dimension.

Nominator Tenure Breakdown

1 nominators

Supporting you for 90+ days

These are your committed, long-term supporters

1 nominators

Supporting you for <90 days

Recent additions - may still be testing validators

50.0% Stable 50% Unstable

Current Risk Level

Moderate Risk: Your nominator base has moderate stability. While 1 nominators have been with you long-term, 1 are relatively new (<90 days). Focus on building relationships with your newer nominators to improve retention.

How to Improve Nominator Stability

Build trust through consistency: Maintain high uptime, consistent era points, and stable commission rates
Engage with your community: Active presence on social media, Discord, or Telegram shows nominators you're committed
Demonstrate transparency: Share your infrastructure details, location, and operational practices
Optimize performance metrics: Higher era points and better grades attract quality, long-term nominators
Competitive but stable commission: Avoid frequent commission changes that can scare away nominators

⚠️ Active Set Risk Analysis

Overall Risk

10/10

HIGH RISK

Current Position

#667

in active set

Safety Buffer

-167

slots to edge

Worst-Case Scenario: If Biggest Nominator Leaves

They Control

100.0%

of your stake

→

New Position

#867

▼ 200 slots drop

Impact Assessment:

WOULD DROP OUT! - Loss of this nominator would kick you out of the active set

Recent Nominator Behavior

Stake from Recent Switchers 100.0%

What This Means:

High Turnover - Large portion of stake from recent switchers. These nominators have shown they're willing to change validators and may leave again

How to Reduce Risk

Diversify your nominator base: Attract more nominators to reduce dependency on your largest backer (currently 100.0%)
Build nominator loyalty: Engage with your community, maintain consistent performance, and communicate openly
Monitor slot position: Keep track of your active set buffer - aim for 200+ slot cushion for safety
Improve performance metrics: Higher era points and better uptime attract stable, long-term nominators
Set competitive commission: Balance rewards to attract nominators without sacrificing your validator income
URGENT: Your buffer is critically low. Focus on attracting new nominators immediately

DqSwo6...obp462YV Poor Japan, Tokyo (Datacamp Limited)

Performance Metrics (Health: Poor)

Health-Based Risk Calculation

Formula

Health Score Breakdown (38.05/100)

💰 Reward Claims Status

Current Status

Last 30 Eras Timeline

Payment Speed

👥 Nominator Stability Analysis

Why Nominator Stability Matters

Nominator Tenure Breakdown

Current Risk Level

How to Improve Nominator Stability

⚠️ Active Set Risk Analysis

Worst-Case Scenario: If Biggest Nominator Leaves

Recent Nominator Behavior

How to Reduce Risk