Algorithm simulation: 1,000 bets over 12 months
Below is a Monte Carlo simulation of 1,000 bets using Lytic's EV algorithm (May 2025 – May 2026). All results are simulated — generated from historical odds distributions, not real trades placed by real users. Simulated results are not a guarantee of future performance.
Historical simulations are no guarantee of future returns. The following is a Monte Carlo simulation based on the algorithm's criteria applied to historical odds distributions — not real trades. Actual results vary and are never guaranteed. Never bet more than you can afford to lose. GambleAware: BeGambleAware.org.
Live scanner CLV proof
Closing line proof building
This block is not simulated. It is built from public scanner picks tracked against closing lines, so prospects can separate algorithm proof from the Monte Carlo example below.
Primary proof
CLV sample building avg CLV
0 settled picks
Total bets
1,000
Simulated (not real bets)
Win rate
54.5%
545 wins / 455 losses
ROI
+29.3%
Per unit staked
Avg. CLV
+6.4%
Closing line value
Hypothetical return — choose your stake per bet
The simulator scales results based on your stake level. All 1,000 bets, same odds and outcomes.
Total staked
$200,000
Simulated P&L
+$58,668
ROI
+29.3%
Monte Carlo simulation · 1,000 bets · May 2025–May 2026 · Fixed stake $200 (scaled with slider above) · Simulated results are no guarantee of future returns
Why CLV is the metric that matters
Closing Line Value (CLV) measures whether you got better odds than the market closed at. A positive CLV of 6.4% means the algorithm consistently identified bets before the market priced them correctly — a sign of genuine edge rather than luck. ROI fluctuates with variance, but positive CLV remains stable. Read more about the methodology
Last 30 bets in the simulation
| Match | Odds | Result |
|---|---|---|
Copenhagen vs Brondby Over/Under 1.5 · 2026-05-09 | 2.13 | Won |
Hammarby vs BK Hacken Over/Under 2.5 · 2026-05-09 | 2.90 | Lost |
Rune vs Fritz Handicap games · 2026-05-08 | 2.52 | Lost |
Ruud vs Musetti Match Winner · 2026-05-08 | 1.96 | Won |
Real Madrid vs Valencia 1X2 · 2026-05-07 | 1.95 | Won |
Gent vs Genk 1X2 · 2026-05-07 | 2.72 | Lost |
Ruud vs Musetti Match Winner · 2026-05-07 | 3.60 | Lost |
Standard Liege vs Gent Over/Under 2.5 · 2026-05-07 | 1.68 | Lost |
Hammarby vs BK Hacken Over/Under 1.5 · 2026-05-07 | 1.83 | Won |
Gauff vs Rybakina Match Winner · 2026-05-06 | 3.34 | Won |
Celtic vs Rangers Asian Handicap · 2026-05-06 | 1.67 | Won |
Atalanta vs Bologna Over/Under 1.5 · 2026-05-06 | 2.22 | Won |
Rosenborg vs Molde 1X2 · 2026-05-06 | 3.45 | Lost |
Norrkoping vs Sirius Over/Under 1.5 · 2026-05-05 | 2.54 | Won |
Sevilla vs Real Betis 1X2 · 2026-05-05 | 3.41 | Lost |
Hammarby vs BK Hacken Asian Handicap · 2026-05-05 | 1.70 | Won |
Atalanta vs Bologna Both Teams to Score · 2026-05-05 | 3.27 | Lost |
IFK Goteborg vs Kalmar FF Asian Handicap · 2026-05-04 | 1.91 | Lost |
Shakhtar vs Dynamo Kyiv Over/Under 1.5 · 2026-05-04 | 2.64 | Won |
Rublev vs Hurkacz Match Winner · 2026-05-03 | 2.52 | Won |
Shapovalov vs Auger-Aliassime Match Winner · 2026-05-03 | 2.61 | Won |
Real Madrid vs Valencia 1X2 · 2026-05-03 | 3.11 | Lost |
Pegula vs Kvitova Match Winner · 2026-05-02 | 3.54 | Won |
AIK vs Djurgardens IF Over/Under 2.5 · 2026-05-02 | 2.18 | Won |
Real Madrid vs Valencia 1X2 · 2026-05-02 | 3.74 | Lost |
PSG vs Marseille 1X2 · 2026-05-02 | 2.27 | Won |
Swiatek vs Sabalenka Handicap games · 2026-05-02 | 2.74 | Lost |
Feyenoord vs Ajax 1X2 · 2026-05-01 | 1.75 | Won |
Shakhtar vs Dynamo Kyiv Asian Handicap · 2026-05-01 | 3.29 | Lost |
Leipzig vs Frankfurt Asian Handicap · 2026-05-01 | 2.15 | Won |
Monte Carlo simulation · May 2025–May 2026 · Not real user trades
Start using the algorithm's edge
14-day free trial. No credit card required. The app flags edges in real time and suggests Kelly-sized stakes on your bankroll.
18+ · Analytical tool · No winnings guaranteed · GambleAware: BeGambleAware.org