See what the pros see. For the first time.

Hedge-fund-grade analysis. Your decision. Consensus Edge is a quant engine built on the same kind of data, models and discipline hedge funds use, applied to sports, prediction markets and soon stocks. It shows you what's most likely, whether the price is worth taking, and when to pass.

No tout language. Defer when signals disagree. NO SIDE until thresholds clear. EV first.


The math nobody puts on a billboard

Bet $100 a game — the way almost everyone actually bets — on heavy favourites at −300, and win 60% of them. That is the number tout services advertise:

60 wins× $33+$2,000
40 losses× $100−$4,000
Net−$2,000

Advertised 60% winners. Down two thousand dollars.

Give them 70% — ten points better than they advertise, and better than almost anyone truly sustains — and it is still −$667. The bar at −300 is 75%. Almost nobody clears it.

Now the other direction — same $100 a game, on +150 underdogs, winning far less often:

45 wins× $150+$6,750
55 losses× $100−$5,500
Net+$1,250

A 45% record. Up twelve hundred and fifty.

Nothing changed but the price. That is the whole idea:

If you take…you break even at
+150 — an underdog40.0%
−110 — a standard spread or over/under52.4%
−20066.7%
−300 — a heavy favourite75.0%

Tout services lean on favourites because favourites win often, and a big win rate is what sells. The price is what decides whether it pays.

Ask any tout service for its profit, not its win rate.

Ours, since you asked

Blended win rate —, against a break-even of — for the prices we actually took.

Profit per $100 staked: —

reading the live record…

Read live from our own audit, not typed into this page. Audit it yourself →


How it works

Twelve stages, end to end. Inputs at the top, calibrated output at the bottom.

Stage 1 · Inputs
Sportsbook odds
Stage 2–3 · Markets
Square (sportsbooks) & Sharp (our model)
Stage 4 · Context
Injuries, weather, referees
Stage 5 · Advanced
Crowd (prediction markets) & signals
Stage 6–7 · Blend
Per-sport tuned weights
Stage 8 · EV
Consensus vs offered price
Stage 9 · AI modifier
Confidence-aware adjustment
Stage 10 · Grade
DEFER / LEAN / B / A
Stage 11–12 · Output
Sizing & final pick

Calibration is public

Brier-score vs the no-vig market price, per sport, kept honest. The trust dashboards expose model lift (or shortfall) so users can decide for themselves.