Dramatic-Steamroller
0xef81342af37a571693c48a6e7414fcc536921a9e
Wallet digest
Activity score
58/100
Performance measurable
Open positions
30
Open notional
$28.88
Total PnL
$-256.33
Realised
$1.81
Win rate
33%
3 closed
Largest open positions
showing 10 of 30- SVAJDA
Set Handicap: Cobolli (-2.5) vs Svajda (+2.5)
11 shares @ 51.0¢·now 99.5¢·exp Jun 7, 2026$11.26
$5.48
- DIANE PARRY
Roland Garros WTA: Maja Chwalinska vs Diane Parry
27 shares @ 36.0¢·now 37.5¢·exp Jun 7, 2026$10.14
$0.41
- FELIX AUGER-ALIASSIME
Roland Garros ATP: Felix Auger-Aliassime vs Alejandro Tabilo
5 shares @ 62.0¢·now 60.5¢·exp Jun 8, 2026$3.02
$-0.07
- SHINTARO MOCHIZUKI
Birmingham: Sho Shimabukuro vs Shintaro Mochizuki
5 shares @ 50.0¢·now 49.5¢·exp Jun 8, 2026$2.48
$-0.02
- JUAN MANUEL CERUNDOLO
Roland Garros ATP: Juan Manuel Cerundolo vs Matteo Berrettini
5 shares @ 42.0¢·now 39.5¢·exp Jun 8, 2026$1.98
$-0.13
- OVER
Cobolli vs. Svajda: Set 1 Games O/U 9.5
17 shares @ 23.0¢·now 0.1¢·exp Jun 7, 2026$0.01
$-3.99
- ANYONES LEGEND
LoL: Anyone's Legend vs Team WE - Game 2 Winner
7 shares @ 67.0¢·now 0.1¢·exp Jun 1, 2026$0.00
$-4.92
- UNDER
Paris Saint-Germain FC vs. Arsenal FC: O/U 0.5
222 shares @ 9.0¢·now 0.0¢·exp May 30, 2026$0.00
$-20.00
- JIL TEICHMANN
Roland Garros WTA: Mirra Andreeva vs Jil Teichmann
75 shares @ 10.0¢·now 0.0¢·exp Jun 7, 2026$0.00
$-7.50
- LOS
LoL: Fluxo W7M vs LOS - Game 2 Winner
67 shares @ 42.4¢·now 0.0¢·exp May 30, 2026$0.00
$-28.65
Recent activity
- TRADEBUYLoL: Anyone's Legend vs Team WE - Game 2 Winner$4.97Jun 1, 10:07 UTC
- TRADESELLCobolli vs. Svajda: Set 1 Games O/U 8.5$14.85Jun 1, 10:00 UTC
- TRADEBUYCobolli vs. Svajda: Set 1 Games O/U 8.5$0.05Jun 1, 09:43 UTC
- TRADEBUYCobolli vs. Svajda: Set 1 Games O/U 8.5$1.30Jun 1, 09:43 UTC
- TRADEBUYCobolli vs. Svajda: Set 1 Games O/U 8.5$1.35Jun 1, 09:42 UTC
- TRADEBUYCobolli vs. Svajda: Set 1 Games O/U 8.5$1.38Jun 1, 09:42 UTC
- TRADEBUYCobolli vs. Svajda: Set 1 Games O/U 9.5$0.55Jun 1, 09:39 UTC
- TRADEBUYCobolli vs. Svajda: Set 1 Games O/U 9.5$1.15Jun 1, 09:39 UTC
- TRADEBUYCobolli vs. Svajda: Set 1 Games O/U 9.5$1.15Jun 1, 09:38 UTC
- TRADEBUYCobolli vs. Svajda: Set 1 Games O/U 9.5$1.18Jun 1, 09:38 UTC
- TRADEBUYRoland Garros ATP: Felix Auger-Aliassime vs Alejandro Tabilo$3.14Jun 1, 09:05 UTC
- TRADEBUYBirmingham: Sho Shimabukuro vs Shintaro Mochizuki$2.54Jun 1, 07:59 UTC
- TRADEBUYRoland Garros ATP: Juan Manuel Cerundolo vs Matteo Berrettini$2.14Jun 1, 07:11 UTC
- TRADEBUYRoland Garros WTA: Maja Chwalinska vs Diane Parry$9.92Jun 1, 07:06 UTC
- REDEEMRoland Garros ATP: Jakub Mensik vs Andrey Rublev$10.87Jun 1, 05:21 UTC
- TRADEBUYSet Handicap: Cobolli (-2.5) vs Svajda (+2.5)$2.93Jun 1, 05:18 UTC
- REDEEMRoland Garros ATP: Casper Ruud vs Joao Fonseca$26.32Jun 1, 04:58 UTC
- TRADEBUYSet Handicap: Cobolli (-2.5) vs Svajda (+2.5)$2.93Jun 1, 04:43 UTC
- TRADESELLWill Brazil win on 2026-05-31?$4.99May 31, 23:46 UTC
- TRADEBUYWill Brazil win on 2026-05-31?$4.51May 31, 20:48 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)
- 46
- Avg trade size
- $4.86
- Top category
- —
- Category concentration
- 0%
- First seen
- May 31, 11:30 UTC
- Last active
- Jun 1, 10:07 UTC
- Win rate sample
- 3 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".