VF Validierung 🇩🇪/Augsburg - Kusama Validator Performance

VF Validierung 🇩🇪/Augsburg ✓ Reasonable Fair

Germany, Dusseldorf

Part of VFVALIDIERUNG cluster - 2 validators · 0.29% of active set · Manage this fleet →

Backed by 1 nomination pool · browse them

Slot

#304

Commission

15%

Nominators

150

Stake

121.4K KSM

Updated

9h ago

Performance Metrics (Health: Fair)

Active Set Longevity

348 days

95.3% uptime (348 of 365 observed days)

Current streak: 119 days

Longest streak: 119 days

Commission Stability

100/100

Excellent

Change frequency: 0 per 90 days

Volatility: 0.0%

Expected Returns Details

13.4% ↘

Estimated APY (28-day avg)

Current era rate: 12.1%

Trend: declining

Avg era reward: 919 KSM

Avg assigned stake: 13,760 KSM

Avg era point share: 0.15%

Based on 85 eras

Click for trend, ranking, and projection

Validator Self-Stake

10 KSM

Bonded by validator

💰 Validator Earnings Details

0.2 KSM

Total income · 2026-09

● Comm 0.2 ● Self 0.0

Rewards distributed: 1 KSM

vs last month: ↘ -98.9%

Click for full earnings history →

Slot Position Volatility

High

Avg slot: 382.5 (30 days)

90-day avg: 495.2

180-day avg: 564.3

💰 Reward Claims Status Details

✅ All rewards claimed

Total unclaimed: 0/84 eras

Click for timeline and details

Overall Risk (Health-Based) Details

4/10

Moderate

Health Score: 60.29/100

Used in main list "Risk Level" filter

Click for calculation details

Risk Assessment (Flags)

0/10

No risks detected

✓ No risk flags

Based on specific warning indicators

Turboflakes Grade era 9974 Details

A+

MVR: 0.14% missed

Missed Vote Ratio (para consensus) · last completed era

Nominator Stability Details

50/100

Moderate

Stable nominators: 17

Unstable nominators: 17

Total nominators: 150

Stable percentage: 11.3%

Active Set Risk Details

0/10

Low risk

Largest Nominator Risk:

⚠ 34.1% of stake from one nominator

If they leave: Slot #304 → #404 (still safe)

Risk: LOW

Recent Nominator Changes:

⚠ 73.1% from recent switchers

Some recent nominator changes

Risk: LOW

Node DHT

Neuschwanstein | VF Validierung 🇩🇪

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: 4/10 risk = 10 - (60.29/10)

Health Score Breakdown (60.29/100)

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

1. Stability (30 points) 24.3/30

Longevity: 14.3/15 pts
348 days in active set over last 365 days
Commission Stability: 10.0/10 pts
No commission changes (10 pts)
Slot Volatility: 0/5 pts
StdDev 120.1 → 0.0 pts (High volatility)

2. Reliability (33 points) 14.99/33

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
0.14% parachain votes missed
Payout Status: -0.0 pts penalty
No unclaimed eras

3. Growth (20 points) 9.73/20

APY Relative Score: 4.7/10 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) 20.0/32

Identity Completeness: 12.0/12 pts
Has on-chain identity: VF Validierung 🇩🇪/Augsburg
Commission Transparency: 5.0/5 pts
No commission changes for 180+ days
Grade Trend: 3.0/5 pts
Grade stable (3 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) 7.0/20

Nominator Stability: 5.0/10 pts
11.3% stable nominators (90+ days)
Single-Point-of-Failure: 2.0/5 pts
Biggest nominator impact: 100 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: Germany
Country Concentration: 2.0/2 pts
Low country concentration (<20%)
Provider Concentration: 2.0/2 pts
Low provider concentration (<15%)

7. Infrastructure (8 points) 7.0/8

Client Version: 4.0/4 pts
v1.22.1-f8cfbb96055 = Latest stable (4pts)
Location Quality: 3.0/4 pts
Based on Geographic Diversity (location visibility + concentration checks)

Total Points: 89.02/146

Normalized Health Score: 60.29/100

Risk Score: 4/10

👥 Nominator Stability Analysis

STABILITY SCORE

MODERATE

STABLE (90+ DAYS)

11.3%

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

17 nominators

Supporting you for 90+ days

These are your committed, long-term supporters

17 nominators

Supporting you for <90 days

Recent additions - may still be testing validators

11.3% Stable 50% Unstable

Current Risk Level

Moderate Risk: Your nominator base has moderate stability. While 17 nominators have been with you long-term, 17 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

0/10

LOW RISK

Current Position

#304

in active set

Safety Buffer

296

slots to edge

Worst-Case Scenario: If Biggest Nominator Leaves

They Control

34.1%

of your stake

→

New Position

#404

▼ 100 slots drop

Impact Assessment:

Still Safe - Would remain well within active set with 296 slot buffer

Recent Nominator Behavior

Stake from Recent Switchers 73.1%

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 34.1%)
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

VF Validierung 🇩🇪/Augsburg ✓ Reasonable Fair Germany, Dusseldorf

Performance Metrics (Health: Fair)

Health-Based Risk Calculation

Formula

Health Score Breakdown (60.29/100)

💰 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