Splendid-Jealousy
0xb1efb05a284c0c75cee463feedb621de45649fad
Wallet digest
Activity score
30/100
Performance measurable
Open positions
130
Open notional
$0.00
Total PnL
$-37.8K
Realised
$-899.49
Win rate
0%
5 closed
Largest open positions
showing 10 of 130- OVER
Grêmio FBPA vs. EC Vitória: O/U 2.5
3864 shares @ 69.8¢·now 0.0¢·exp Mar 19, 2026$0.00
$-2.7K
- OVER
Real Oviedo vs. Athletic Club: O/U 3.5
2986 shares @ 20.9¢·now 0.0¢·exp Feb 15, 2026$0.00
$-624.71
- OVER
Le Havre AC vs. AJ Auxerre: O/U 2.5
2787 shares @ 70.9¢·now 0.0¢·exp Apr 5, 2026$0.00
$-2.0K
- OVER
Udinese Calcio vs. Juventus FC: O/U 1.5
2352 shares @ 77.5¢·now 0.0¢·exp Mar 14, 2026$0.00
$-1.8K
- YES
Will Paris Saint-Germain FC win on 2026-02-13?
1472 shares @ 72.0¢·now 0.0¢·exp Feb 13, 2026$0.00
$-1.1K
- OVER
Clippers vs. Rockets: O/U 213.5
1463 shares @ 41.0¢·now 0.0¢·exp Feb 11, 2026$0.00
$-600.00
- OVER
CA Mineiro vs. SC Internacional: O/U 1.5
1382 shares @ 77.7¢·now 0.0¢·exp Mar 11, 2026$0.00
$-1.1K
- YES
Will FC Barcelona win on 2026-02-12?
1348 shares @ 39.0¢·now 0.0¢·exp Feb 12, 2026$0.00
$-525.78
- OVER
LDU de Quito vs. Mirassol FC: O/U 2.5
1346 shares @ 53.0¢·now 0.0¢·exp Apr 15, 2026$0.00
$-713.41
- OVER
Bologna FC 1909 vs. Hellas Verona FC: O/U 3.5
1174 shares @ 56.1¢·now 0.0¢·exp Mar 8, 2026$0.00
$-658.92
Recent activity
- TRADEBUYSC Corinthians Paulista vs. CR Vasco da Gama: O/U 1.5$210.49Apr 26, 18:02 UTC
- TRADESELLTorino FC vs. FC Internazionale Milano: O/U 3.5$210.49Apr 26, 18:00 UTC
- TRADEBUYTorino FC vs. FC Internazionale Milano: O/U 3.5$123.30Apr 26, 17:29 UTC
- TRADESELLTorino FC vs. FC Internazionale Milano: O/U 2.5$123.34Apr 26, 17:29 UTC
- TRADEBUYTorino FC vs. FC Internazionale Milano: O/U 2.5$83.08Apr 26, 17:22 UTC
- TRADESELLTorino FC vs. FC Internazionale Milano: O/U 1.5$83.10Apr 26, 17:22 UTC
- TRADEBUYTorino FC vs. FC Internazionale Milano: O/U 1.5$65.09Apr 26, 17:10 UTC
- TRADESELLStade Rennais FC 1901 vs. FC Nantes: O/U 2.5$40.75Apr 26, 17:09 UTC
- TRADEBUYStade Rennais FC 1901 vs. FC Nantes: O/U 2.5$25.00Apr 26, 16:49 UTC
- TRADESELLLe Havre AC vs. FC Metz: O/U 4.5$49.36Apr 26, 16:46 UTC
- TRADEBUYLe Havre AC vs. FC Metz: O/U 4.5$30.01Apr 26, 15:55 UTC
- TRADESELLFC Lorient vs. RC Strasbourg Alsace: O/U 3.5$30.01Apr 26, 15:53 UTC
- TRADEBUYFC Lorient vs. RC Strasbourg Alsace: O/U 3.5$21.22Apr 26, 14:24 UTC
- TRADESELLFC Lorient vs. RC Strasbourg Alsace: Both Teams to Score$21.23Apr 26, 14:24 UTC
- TRADEBUYFC Lorient vs. RC Strasbourg Alsace: Both Teams to Score$11.74Apr 26, 14:15 UTC
- TRADEBUYWill SC Internacional win on 2026-04-25?$20.00Apr 25, 23:12 UTC
- TRADEBUYWill Botafogo FR win on 2026-04-25?$7.17Apr 25, 23:12 UTC
- TRADESELLBotafogo FR vs. SC Internacional: O/U 3.5$175.91Apr 25, 23:11 UTC
- TRADEBUYBotafogo FR vs. SC Internacional: O/U 3.5$105.06Apr 25, 22:57 UTC
- TRADESELLBotafogo FR vs. SC Internacional: O/U 2.5$105.10Apr 25, 22:57 UTC
Persistent ledger timeline
persistentNo trades for this wallet in Orrery's persistent ledger yet. The whale-ingest cron writes ≥ $5k trades every 10 minutes; check back after a recovery window.
Ledger intelligence
persistent7d volume
$0.00
0 trades
30d volume
$0.00
0 trades
Buy share
50%
Sample
low
0 ledger trades
No persistent whale trades for this wallet yet. The live Data API score above can still be useful, but the durable ledger sample is empty.
Profile dimensions
Trade count + how recently they were active. Low = dormant.
How trustworthy the win-rate number is, based on sample size of closed markets.
Share of trades concentrated in their top category.
Share of positions taken while the market was still uncertain (30–70¢) rather than after direction was obvious.
How risky to blindly copy. Higher = riskier — large size, single-position exposure, or thin win-rate sample.
- Trades (all time)
- 50
- Avg trade size
- $68.06
- Top category
- —
- Category concentration
- 0%
- First seen
- Apr 18, 14:53 UTC
- Last active
- Apr 26, 18:02 UTC
- Win rate sample
- 5 closed
The single Activity score is kept for the leaderboard sort. The five dimensions above are the canonical read — copy-risk bar is inverted so green is always "better for the user".