FREEMLBLOSS
LOTTO · MLB · 5 legs
PARLAY
🎟️ LOTTO (5 legs) +903
0.05uView →
Append-only ledger. Rows are locked at post time by a Postgres trigger, so retroactive edits are impossible. ROI, yield, hit rate, and no-vig CLV are computed live at request time.
ROI (provisional): -60.77% · 95% CI -73.27% to -5.57% · hit rate 38.1% (95% CI 20.8–59.1%) — under 500 settled picks ROI is variance, not edge; CLV is the headline until then.
CLV-beat: 0.0% of 10 graded picks beat the closing line · avg no-vig CLV -9.18%. CLV is the lowest-variance proof of edge — it can't be cherry-picked the way a win streak can.
Must be 21+. Gambling problem? Call 1-800-GAMBLER. NJ/PA: 1-800-GAMBLER · MI: 1-800-270-7117 · VA: 1-888-532-3500 · CO: 1-800-522-4700 · NY: 877-846-7369 (HOPENY).
NuroPicks LLC · 30 N Gould St Ste R, Sheridan, WY 82801
21
Settled picks
38.1%
Hit rate
-60.77%
ROI
-70.77%
ROI ex-vig (CLV-derived)
-12.30%
Yield (flat)
-2.58u
Units won
-9.18%
CLV avg (no-vig)
0.0%
CLV-beat % (beat close, 10 picks)
Small sample (21 settled). Not statistically meaningful. Track, do not tail.
Pick a date below. We render every pick we fired for that ET day with a one-click ESPN box-score link per game so you can confirm the bot's W/L/Push grade against ESPN's authoritative scoreboard - the same source our espn-grader service uses to settle picks.
7D | 2026-06-06 -> 2026-06-13
30D | 2026-05-14 -> 2026-06-13
90D | 2026-03-15 -> 2026-06-13
ALL | genesis -> 2026-06-13
Building sample (280 settled). ROI is still mostly variance — CLV is the faster read of edge. Roughly 1,900 settled picks are needed before a true 55% edge clears p<0.05.
Modest sample (67 settled). Directional signal only, not proof of edge.
Modest sample (50 settled). Directional signal only, not proof of edge.
Small sample (32 settled). Not statistically meaningful. Track, do not tail.
Small sample (16 settled). Not statistically meaningful. Track, do not tail.
Small sample (16 settled). Not statistically meaningful. Track, do not tail.
Small sample (15 settled). Not statistically meaningful. Track, do not tail.
Small sample (13 settled). Not statistically meaningful. Track, do not tail.
Small sample (5 settled). Not statistically meaningful. Track, do not tail.
Small sample (4 settled). Not statistically meaningful. Track, do not tail.
Small sample (3 settled). Not statistically meaningful. Track, do not tail.
Small sample (2 settled). Not statistically meaningful. Track, do not tail.
Small sample (2 settled). Not statistically meaningful. Track, do not tail.
Small sample (1 settled). Not statistically meaningful. Track, do not tail.
Spreads, totals, and player props on the slate are alt-linerungs targeted near 70% implied probability. We're buying hit rate by giving up payout. Moneylines stay straight at the favorite. Every pick locks posted_at + odds and grades against ESPN final scores, with no retroactive deletes.
See the live split per market type at /record. 21+. Variance still applies on any small sample.
PICKS
45
HIT
44.4%
ROI
-53.52%
YIELD
-21.37%
CLV
+0.61%
PICKS
46
HIT
55.8%
ROI
+19.11%
YIELD
+2.56%
CLV
+0.13%
PICKS
57
HIT
54.7%
ROI
-1.72%
YIELD
-0.52%
CLV
-2.16%
PICKS
146
HIT
58.3%
ROI
-10.99%
YIELD
-8.62%
CLV
+0.69%
PICKS
335
HIT
61.3%
ROI
-5.29%
YIELD
-3.47%
CLV
+0.60%
PICKS
382
HIT
54.4%
ROI
+5.67%
YIELD
+5.52%
CLV
-0.84%
PICKS
17
HIT
72.7%
ROI
+20.97%
YIELD
+15.38%
CLV
-0.98%
PICKS
0
HIT
0.0%
ROI
0.00%
YIELD
0.00%
CLV
-
If it ran through the publisher and got a Discord message, it is on this page. No private picks, no back-channel calls excluded, no deletions when a pick busts. Voids count as zero, not as removals.
A Postgres trigger sets locked_at on insert and rejects any UPDATE or DELETE that touches a locked column. Only grading fields (result, graded_at, closing_odds) may change, and those changes are logged.
Hit rate alone misleads. A 60% hit rate on -200 favorites loses money; 53% at +100 wins. We always show ROI (unit P/L over risked) and yield (flat-unit P/L over settled picks) beside it.
Raw ROI flatters anyone who only beat the juice. We also publish ROI ex-vig: raw ROI minus the average sportsbook hold per pick (computed live from the closing line of every pick that has one; falls back to the standard -110 hold of 4.55% when closing data is sparse). If ex-vig is still positive across a real sample, the edge survives the books. Leans.ai charges $299/mo to surface this; ours is free, on every window, in the same grid as raw ROI.
Every window and every sport card carries a sample note. At under 50 settled picks the edge is invisible. A true 55% edge needs roughly 1,900 settled picks to reach statistical significance; a 54% edge needs far more. We say so, and we lead with CLV because it proves edge faster than win rate.
Sunday 11:59 PM ET the week freezes into weekly_snapshots. A database trigger blocks any UPDATE or DELETE. If a stat correction lands Tuesday, it affects next week's row, not the frozen one.
The hero shows 7-day uptime on the publish pipeline plus missed windows in the last 24 hours. If we stop posting, you see it. No hiding downtime.
Yes. Every number on this page is computed from the picks table in Neon at request time with a 60-second cache. No hardcoded figures. Rows are locked at post time via a Postgres trigger, so we cannot retroactively edit or delete a pick.
Hit rate is wins divided by (wins + losses). It ignores odds. ROI is net units won divided by units risked. It treats a dollar risked at -200 the same as a dollar risked at +200 in terms of denominator. Yield is net units won divided by total settled picks, a flat-staking view. A 60% hit rate on -200 favorites is losing money; a 53% hit rate at +100 is profitable. Never judge a handicapper on hit rate alone.
Because at 100 picks, you cannot statistically distinguish a true edge from pure luck. Roughly 1,900 settled picks are needed before a true 55% win rate becomes detectable at p<0.05 — and a thinner 54% edge needs far more, around 4,700. Our 500-pick mark is a display threshold, not statistical proof. The sample note on each window tells you where this record sits on that curve, and CLV proves edge faster than win rate.
Closing Line Value. The difference between the odds you posted and the final market consensus at tip-off. Positive CLV over a big sample is the single most respected metric among professional bettors because it is much less noisy than short-term hit rate. We compute it in decimal odds: (posted / closing) - 1, averaged across picks with a closing snapshot.
CLV-beat % is the share of our graded picks that beat the closing line (no-vig CLV above zero). A high average CLV can be propped up by a few lucky outliers; the beat rate cannot be gamed that way — it asks, simply, how often did we get a better number than the market's final consensus? A genuine model beats the close on a majority of bets (above 50%), win or lose, because closing line value is the leading indicator of long-run profit. We compute it from the persisted no-vig CLV on every graded pick that carried a closing snapshot, and we show the raw count so you can judge the sample.
Raw ROI flatters anyone who only beat the juice. Vig-adjusted ROI subtracts the average sportsbook hold per pick from raw ROI. We compute the per-pick hold from each pick's closing decimal odds (implied probability times two minus one hundred) and average across the window. When closing data is sparse for a window we fall back to the standard -110 hold of 4.55%. If ROI ex-vig is still positive over a meaningful sample, the edge survives the books. Leans.ai charges $299/mo to surface this metric; ours is in the same grid as raw ROI on every window, free.
No. Every picks row is written with locked_at set to NOW() on insert. A database trigger rejects UPDATE or DELETE of locked columns. Only grading fields (result, graded_at, closing_odds) can change, and those are append-only logs, not edits.
No. NuroPicks is entertainment and education. Past ROI or CLV does not predict future results. 21+ only. If sports betting stops being fun, call 1-800-GAMBLER or visit the responsible gambling resources page.
Empirical 82.8% over last 15 games vs 63.0% implied → +19.8pt EV.
69% of recent picks (last 90 days) are sharp-stub-v0 heuristics, not XGBoost model output. Each stub pick is honestly labeled in its why-row and model_version column (661 of 957). The trust surfaces below show real published-pick outcomes, but a +CLV reading on heuristic picks proves nothing about a model that doesn't exist yet. Methodology stage 3 (XGBoost ensemble) is still pre-train; when it ships, the same surfaces flip to real model picks and this banner disappears.
| Market | W-L-P | Hit % | ROI | Net |
|---|---|---|---|---|
Moneyline Straight ML favorite at fire time. | 76-51-1 | 59.8% | -6.85% | -8.38u |
Alt Spread / Total Friendly alt rung at ~70% implied probability. | 89-36-10 | 71.2% | 0.09% | +0.11u |
Alt Player Prop Friendly alt prop rung (Over) at ~70% implied probability. | 109-77 | 58.6% | -18.98% | -7.94u |
Player Prop (Mainline) Mainline player props from the model edge path. | 1-3 | 25.0% | -55.77% | -2.23u |
Other Unclassified market labels. | 5-18 | 21.7% | -20.18% | -4.39u |
Alt-line picks target ~70% implied probability — buying hit rate by giving up payout. Moneyline picks stay straight at the favorite. The ledger is append-only, hash-locked at fire time, and grades against ESPN final scores. Variance still applies on any small sample.