Maximum ROI.
Every Game.
Every Bet.

How to read it. Each bet plots its model probability (solid dot) against the market's implied probability (hollow dot). The vertical gap between them is the edge — how much more likely our model judges the outcome than the price implies. Where a bet sits left-to-right is its survivability: how well it holds up across predicted gamescripts, from fragile (left) to robust (right).

The three bets show why it takes both. Bet A has the biggest edge on the board but sits at the fragile end of the survivability spectrum, so DMET raises the bar and its stake collapses to 0.25u. Bet B carries only a reasonable edge but solid survivability, earning a moderate 1.25u. Bet C pairs a strong edge with high survivability — the best of both — and earns the largest 2.0u stake.

That is the whole point of a dynamic threshold. Raw edge decides whether there is value; survivability decides whether we can trust it; and Kelly units are assigned from both — never from edge or survivability alone.

When I started Proven Edge, I made a commitment to complete transparency — especially when it's uncomfortable.

We hold ourselves to an institutional standard: every recommendation is tracked, graded, and reviewed — wins and losses alike. We don't publish a number we can't defend, and we don't quietly drop the ones that don't go our way. That discipline is the whole point.

What we've done about it:

Since launch, we have not sat still. We've added 13+ new analytical signals to the model, including EPA-based efficiency metrics, game script modeling, rush and red zone mismatch detection, spread stability gates, and opponent-adjusted defensive tiering. We've recalibrated our market shrinkage schedule using live data to correct systematic overconfidence our models identified. We've implemented vig removal across all markets so the model is pricing against true probabilities, not inflated book lines. Every one of these changes is validated against historical data before it ever touches a live recommendation.

Transparency isn't damage control — it's how we operate. Every loss gets a postmortem. Every postmortem produces a root cause. Every root cause drives a model change. That cycle doesn't pause when results are good and resume when they're bad — it runs every week. Most services go quiet when numbers turn south, or bury the bad weeks in a highlight reel. We don't. You'll always know exactly where we stand, what went wrong, and what we changed because of it.

The bottom line: every model change is earned, tested, and documented — and you'll see that discipline in every pick we ship.

No spin. Just the truth.

We release recommendations based on when the edge is clear — not on a fixed schedule. During football season, expect regular picks across the NFL and FBS Power 4 college football. In the off-season, picks slow down — but the model work behind them never stops.

We recommend across all major market types: spreads (sides), totals (overs/unders), moneylines, and player props. Our analysis runs on the full market — we find value wherever the books leave gaps.

All picks are delivered via private Discord community. You get instant notifications, full pick details, edge calculations, Kelly units, and real-time result tracking — all in one place, secure and private.

Every pick is logged with details: recommended line, edge at time of recommendation, result (win/loss), CLV captured, and ROI. You see the full record — wins and losses. Zero cherry-picking. Complete transparency.

Our goal is to educate our customers at every step in the process. We offer guides, intuitive bet recommendations, and community support through Discord to achieve this. We are for anyone serious about winning — our capabilities are advanced, but we take the complexity out of the process.

When the football calendar quiets down, we don't. The off-season is when we do our deepest work — new signals, recalibration, and backtesting — so the model is sharper the moment the next season kicks off.