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NBA transparent results

NBA betting model results and ROINBA Recommendations, graded.

Review the published NBA recommendation record across moneyline, spread, and total markets, including graded selections, units, ROI, and tracked coverage. The cross-sport Best Bets board is a ranked view of official sport recommendations and does not create duplicate results.

Games analyzed1,275Priced matchups in this view
SLS Recommendations101Qualified betting opportunities
Recommendation rate+7.92%Recommendations ÷ games analyzed
Record69-32-0101 graded selections
Units+39.82uOne-unit grading
ROI+39.42%101u risked
Average priceSelection-weighted payout
Tracked coverageOct 21, 2025 – Jun 13, 2026Ledger synced Jul 29, 2026, 10:51 PM UTC

Games analyzed counts every priced matchup in the selected view. Under the current policy, SLS Recommendations counts only the 0–5 official selections published for each sport and calendar date. Big Board membership does not create a second graded wager. Earlier rows retain the recommendation policy in effect when published, and a game can be analyzed without producing a recommendation. Historical coverage can be partial and date-specific, so the displayed sample and coverage dates do not imply that every league game was tracked.

Cumulative one-unit result+39.82u
Oct 21, 2025Jun 13, 2026
Sport breakdown

Results by league

SportRecordUnitsROISample
NBA69-32-0+39.82u+39.42%101
Recent grading

Latest selections

W
NYK MLNBA · NYK at CLE · May 23, 2026
+122+1.22u
W
ORL +3.5NBA · DET at ORL · Apr 27, 2026
-105+0.95u
W
TOR MLNBA · CLE at TOR · Apr 23, 2026
+124+1.24u
W
ORL +3.5NBA · CHA at ORL · Apr 17, 2026
-115+0.87u
W
LAL MLNBA · PHX at LAL · Apr 10, 2026
+115+1.15u
L
BKN +3.5NBA · IND at BKN · Apr 9, 2026
-115-1.00u
W
Under 233.5NBA · DAL at PHX · Apr 8, 2026
-109+0.92u
L
Under 233.5NBA · MIN at ORL · Apr 8, 2026
-112-1.00u
W
DEN MLNBA · SAS at DEN · Apr 4, 2026
+114+1.14u
L
Under 234.5NBA · IND at CHA · Apr 3, 2026
-110-1.00u
Methodology

One transparent recommendation record

The season record combines approved historical pregame evidence with automatically tracked live selections. The highest-quality complete source is chosen once per matchup, overlapping games are counted once, and every recommendation is graded at a one-unit stake. Missing historical card dates are not filled with inferred customer recommendations.

Performance definitions

How to read these results.

These definitions apply to the public SLS Recommendation record and the active filters shown above.

Record
Wins–losses–pushes for graded selections published as official SLS Recommendations.
Win rate
Wins divided by wins plus losses. Pushes are excluded from the calculation.
Units
Every public SLS Recommendation is graded as risking one unit at its published price. A loss is −1.00u, a win earns profit according to the published odds, and a push returns 0.00u.
ROI
Net units won or lost divided by total units risked, expressed as a percentage.
Recommendations / sample
Recommendations is the number of official selections within the active filters. Sample is the number already graded and represented in the record, units, and ROI.
Coverage
The date range for which eligible recommendation data exists in the selected view. It does not imply that every league game produced—or was required to produce—a recommendation.
Partial coverage
A sport’s record may begin after the start of its season when eligible SLS Recommendations were not published during an earlier period.

Published historical outcomes are not rewritten after later model changes, and missing historical periods are not filled with invented customer recommendations.