Model accuracy + full history, in public
Our probabilities, measured in public.
We don't sell a betting edge — we sell accurate analysis. So we measure what actually matters for a decision-support tool: how well our fair-value probabilities match real outcomes (calibration), shown below in full. Our earlier +EV-pick experiment is kept underneath as a labeled archive — including the honest finding that the playable market is too thin to beat. Nothing hidden, nothing cherry-picked.
Sharp-anchor calibration
Are the sharp-anchor fair prices accurate?
Predicted (avg)
45.5%
Actual win rate
42.3%
95% CI 38.3%–46.5%
Brier score
0.218
lower is better
Base-rate baseline
0.244
beat this = informative
Across 555 settled win/loss predictions (counted once per match-market, pushes & voids excluded — so this is smaller than the total settled-pick count) the de-vigged Pinnacle (sharp-anchor) fair value said 45.5% on average and 42.3% actually happened — the sharp-anchor probabilities track real outcomes, and its Brier score beats the base-rate baseline beyond statistical noise — it adds real information. This measures accuracy, not profit: we're a decision-support tool, not a tipster.
Research-phase archive (retired) — our earlier +EV-pick experiment
Below is the full result history from when we tested publishing +EV betting picks. We've since found the playable market for our users (~2 GGL-licensed sportsbooks) is too thin to sustain a betting edge, so we repositioned to analytics. We keep every result here — wins, losses, and the finding itself — because deleting losers is what tipsters do. It is NOT how we measure the tool (see model accuracy above), and it is reported as independent decisions, not per-book rows.
Equity curve · All time
-13.49u cumulative
Each point is a settled pick's contribution to cumulative net profit (stake units). Wins lift the line, losses drop it. No deletions, no smoothing, no cherry-picking.
Last updated:
Track record builds with each settled pick — current depth: n=602.
Lock-in significance threshold: 1500 picks. We publish every result regardless of sample size — the receipts are the product.
Returns · live from the ledger
n=602· early-stage data7-day ROI
−9.3%
228 settled picks
30-day ROI
−5.8%
519 settled picks
All-time ROI
−1.9%
602 settled picks
Longest win run
5
5 settled picks
Longest lose run
8
8 settled picks
Units staked
709
Profit (u)
−13.49u
Hit rate
42.3%
Avg odds
2.86
Avg CLV vs close
−7.6%
our honest edge metric · n=529 · 10% beat close
Per-sport models
ROI by sport — every model in public.
Each row is the cumulative ROI of every settled pick for that sport. No cherry-picking — losing models are visible too.
Football (Soccer)
n=264 · 35.6% win
+7.5%
Baseball
n=195 · 44.9% win
−10.5%
Basketball
n=134 · 51.2% win
−10.1%
Ice Hockey
n=9 · 44.4% win
−18.6%
Archive note: rows are logged per (match × selection × bookmaker), so the same decision often appears at several books. The headline stats above count 602 independent decisions; this table lists all 1659 per-book rows in full (most of these book-prices were never playable for a DE user in the first place). Kept complete for transparency — we count decisions, not rows.
| Date | Match | Pick | Odds | Stake | Result |
|---|---|---|---|---|---|
| 2026-05-28 | Boston Red Sox vs Atlanta Braves Baseball | home Unibet | 2.10 | 1u | won+1.10u |
| 2026-05-28 | New York Liberty vs Phoenix Mercury Basketball | home Unibet | 1.48 | 1u | won+0.48u |
| 2026-05-28 | Detroit Tigers vs Los Angeles Angels Baseball | away Unibet | 2.14 | 1u | lost-1.00u |
| 2026-05-28 | Detroit Tigers vs Los Angeles Angels Baseball | under_7.5 Sportsbet AU | 2.00 | 1u | won+1.00u |
| 2026-05-28 | New York Liberty vs Phoenix Mercury Basketball | home Ladbrokes AU | 1.50 | 2u | won+1.00u |
| 2026-05-28 | Detroit Tigers vs Los Angeles Angels Baseball | under_7.5 FanDuel | 2.02 | 2u | won+2.04u |
| 2026-05-28 | New York Liberty vs Phoenix Mercury Basketball | home FanDuel | 1.47 | 1u | won+0.47u |
| 2026-05-28 | New York Liberty vs Phoenix Mercury Basketball | home DraftKings | 1.46 | 1u | won+0.46u |
| 2026-05-28 | New York Liberty vs Phoenix Mercury Basketball | home Betfair | 1.48 | 1u | won+0.48u |
| 2026-05-28 | New York Liberty vs Phoenix Mercury Basketball | home BetMGM | 1.48 | 1u | won+0.48u |
| 2026-05-28 | New York Liberty vs Phoenix Mercury Basketball | home Betway | 1.48 | 1u | won+0.48u |
| 2026-05-28 | Detroit Tigers vs Los Angeles Angels Baseball | under_7.5 Unibet | 1.97 | 1u | won+0.97u |
| 2026-05-28 | San Diego Padres vs Philadelphia Phillies Baseball | home Betfair | 2.44 | 1u | lost-1.00u |
| 2026-05-28 | San Francisco Giants vs Arizona Diamondbacks Baseball | under_7.5 FanDuel | 1.95 | 1u | won+0.95u |
| 2026-05-28 | San Francisco Giants vs Arizona Diamondbacks Baseball | under_7.5 Unibet | 1.96 | 1u | won+0.96u |
| 2026-05-28 | San Francisco Giants vs Arizona Diamondbacks Baseball | away Betfair | 1.83 | 1u | won+0.83u |
| 2026-05-27 | Athletics vs Seattle Mariners Baseball | away Betfair | 1.84 | 1u | won+0.84u |
| 2026-05-27 | Toronto Blue Jays vs Miami Marlins Baseball | away Betfair | 2.42 | 1u | lost-1.00u |
| 2026-05-27 | Toronto Blue Jays vs Miami Marlins Baseball | under_7.5 BetMGM | 1.98 | 1u | won+0.98u |
| 2026-05-27 | Cleveland Guardians vs Washington Nationals Baseball | away Betfair | 2.68 | 1u | lost-1.00u |
| 2026-05-27 | Milwaukee Brewers vs St. Louis Cardinals Baseball | under_8.5 Unibet | 1.91 | 1u | won+0.91u |
| 2026-05-27 | Milwaukee Brewers vs St. Louis Cardinals Baseball | over_8.5 Matchbook | 2.04 | 1u | lost-1.00u |
| 2026-05-27 | San Diego Padres vs Philadelphia Phillies Baseball | away Smarkets | 2.12 | 1u | won+1.12u |
| 2026-05-27 | San Francisco Giants vs Arizona Diamondbacks Baseball | over_8 FanDuel | 1.95 | 1u | won+0.95u |
| 2026-05-27 | Athletics vs Seattle Mariners Baseball | away Smarkets | 1.92 | 1u | won+0.92u |
| 2026-05-27 | Athletics vs Seattle Mariners Baseball | away Betfair | 1.94 | 1u | won+0.94u |
| 2026-05-27 | Los Angeles Dodgers vs Colorado Rockies Baseball | under_9 Unibet | 1.96 | 1u | lost-1.00u |
| 2026-05-27 | San Francisco Giants vs Arizona Diamondbacks Baseball | over_8 Unibet | 1.93 | 1u | won+0.93u |
| 2026-05-27 | Los Angeles Dodgers vs Colorado Rockies Baseball | away Betfair | 3.15 | 1u | lost-1.00u |
| 2026-05-27 | San Diego Padres vs Philadelphia Phillies Baseball | home Paddy Power | 1.90 | 1u | lost-1.00u |
| 2026-05-27 | San Diego Padres vs Philadelphia Phillies Baseball | away Betfair | 2.16 | 2u | won+2.32u |
| 2026-05-27 | San Francisco Giants vs Arizona Diamondbacks Baseball | home Betfair | 1.98 | 1u | lost-1.00u |
| 2026-05-27 | San Francisco Giants vs Arizona Diamondbacks Baseball | over_8 Sportsbet AU | 1.93 | 1u | won+0.93u |
| 2026-05-27 | Oklahoma City Thunder vs San Antonio Spurs Basketball | away Sky Bet | 2.63 | 1u | lost-1.00u |
| 2026-05-27 | Oklahoma City Thunder vs San Antonio Spurs Basketball | away Smarkets | 2.66 | 1u | lost-1.00u |
| 2026-05-27 | Oklahoma City Thunder vs San Antonio Spurs Basketball | away Matchbook | 2.68 | 2u | lost-2.00u |
| 2026-05-27 | Oklahoma City Thunder vs San Antonio Spurs Basketball | over_216 Bovada | 1.91 | 1u | won+0.91u |
| 2026-05-27 | Oklahoma City Thunder vs San Antonio Spurs Basketball | away Betfair | 2.68 | 2u | lost-2.00u |
| 2026-05-27 | Oklahoma City Thunder vs San Antonio Spurs Basketball | away FanDuel | 2.66 | 1u | lost-1.00u |
| 2026-05-27 | Oklahoma City Thunder vs San Antonio Spurs Basketball | away Sportsbet AU | 2.66 | 1u | lost-1.00u |
| 2026-05-27 | Kansas City Royals vs New York Yankees Baseball | home Smarkets | 2.84 | 1u | lost-1.00u |
| 2026-05-27 | Oklahoma City Thunder vs San Antonio Spurs Basketball | away DraftKings | 2.64 | 1u | lost-1.00u |
| 2026-05-27 | Pittsburgh Pirates vs Chicago Cubs Baseball | away Betfair | 2.14 | 1u | lost-1.00u |
| 2026-05-27 | Detroit Tigers vs Los Angeles Angels Baseball | away Unibet | 2.23 | 1u | won+1.23u |
| 2026-05-27 | Boston Red Sox vs Atlanta Braves Baseball | over_8 FanDuel | 1.91 | 1u | won+0.91u |
| 2026-05-27 | Boston Red Sox vs Atlanta Braves Baseball | home Betfair | 2.08 | 1u | lost-1.00u |
| 2026-05-27 | Boston Red Sox vs Atlanta Braves Baseball | away FanDuel | 1.93 | 1u | won+0.93u |
| 2026-05-27 | Cleveland Guardians vs Washington Nationals Baseball | away Betfair | 2.20 | 1u | won+1.20u |
| 2026-05-25 | Lazio vs Pisa Football (Soccer) | away Unibet | 6.00 | 1u | lost-1.00u |
| 2026-05-25 | Torino vs Juventus Football (Soccer) | home Smarkets | 8.60 | 2u | lost-2.00u |
Methodology
How we measure accuracy (calibration + CLV)
Our headline metric is calibration: across our settled predictions, does an outcome we put at probability p actually happen about p of the time? We publish the calibration curve (predicted vs actual) and a Brier score tested against the base-rate baseline, with a statistical-significance gate. It measures accuracy, not profit.
We also show Closing Line Value (CLV) honestly — how our published odds compared to the market's de-vigged close, including when it is negative. Formula: CLV% = (published_odds / closing_odds − 1) × 100
CLV is a transparency receipt from our retired +EV experiment, not a current edge claim: the playable market proved too thin to beat the closing line, so we dropped the profit framing and kept the numbers visible anyway.
Settlement rules
Each pick is settled against one of four outcomes: Won, Lost, Push, or Void.
- Won: Selection correct. Profit = (odds − 1) × stake.
- Lost: Selection incorrect. Profit = −stake (full loss).
- Push: Bet cancelled by bookmaker (e.g. Asian handicap half). Stake refunded. Profit = 0 units.
- Void: Match abandoned or selection suspended. Stake refunded. Profit = 0 units.
The pick_results table is database-enforced append-only — UPDATE and DELETE are blocked at the database level, so a settled result cannot be silently amended or removed after the fact.
All profit/loss figures use the tax-neutral formula. If a jurisdiction-specific adjustment applies it appears in the pick's audit page under “Edge (post-tax).”
Sample-size caveat
Statistical significance in sports betting requires a large sample. The conventional threshold for drawing firm conclusions is ~1,500 settled picks — at that depth, a consistently positive ROI is extremely unlikely to be variance alone.
BetEdge launched in May 2026 with a baseline of ~293 free picks. Every result is published regardless of sample depth — the receipts are the product. The n= · early-stage data chip on the dashboard is the honest signal: “real numbers, but interpret ROI with an appropriate confidence interval.”
Lock-in threshold: 1,500 picks. The chip disappears once that milestone is crossed. We do not cherry-pick which results to show.
FAQ
About the track record
How is ROI calculated?
What is CLV?
Why does the chart show negative returns sometimes?
What counts as a settled pick?
How do I know these numbers aren't cherry-picked?
BetEdge is an analytics and decision-support tool — not a bookmaker and not a tipster service. We don't accept bets or hold funds. For educational and informational purposes only. 18+.