Last updated: November, 2026
Our best NBA tipsters and prediction sites rankings for November 2026 are built on sample-adjusted ROI, not raw win rate. Over the trailing 12 months, Nathan Beighle tops that ranking with an adjusted ROI of +1.8% (raw +5.1%) across 109 picks, placing #1 in our sample. Win rate alone can mislead bettors: favorites won 68.0% of games yet still produced a −5.1% ROI.
With the 2026-27 regular season now underway, every new game adds to the rolling 12-month window, so rankings can shift as fresh results arrive. Only 5 of the 27 ranked sources were in profit over that span, a reminder that most tipsters and algorithms trail the market over time.
Most Accurate NBA Predictions: Full Ranking
| Rank | Tipster | Source | Type | Picks | Record (W-L) | Win rate | Avg odds | ROI | Adj. ROI | On favorite | Change |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Nathan Beighle | Sportsbook Review, X (Twitter), USA Today Sports | Tipster | 109 | 78-31 | 71.6% | 1.53 | +5.1% | +1.8% | 85.3% | ▲2 |
| 2 | Vitibet | Vitibet | Algorithm | 729 | 505-224 | 69.3% | 1.56 | +2.0% | +1.5% | 84.0% | — |
| 3 | Filip Tomic | Pickswise | Tipster | 117 | 80-37 | 68.4% | 1.60 | +2.9% | +1.1% | 86.3% | ▲1 |
| 4 | Betbrain | Betbrain | Prediction site | 596 | 408-188 | 68.5% | 1.59 | +0.4% | +0.3% | 79.4% | ▲4 |
| 5 | Elijah Jackson | SportsGambler | Tipster | 269 | 185-84 | 68.8% | 1.53 | +0.1% | 0.0% | 81.8% | — |
| 6 | Kim Smith | Picks and Parlays | Tipster | 210 | 143-67 | 68.1% | 1.55 | −0.1% | −0.1% | 86.2% | ▲1 |
| 7 | 2ez.bet Community Vote | X (Twitter) | Community vote | 942 | 639-303 | 67.8% | 1.52 | −1.5% | −1.2% | 89.3% | ▲2 |
| 8 | OddsPortal | X (Twitter) | Prediction site | 170 | 90-80 | 52.9% | 2.04 | −3.0% | −1.4% | 56.5% | ▼2 |
| 9 | SportyTrader | SportyTrader | Prediction site | 842 | 564-278 | 67.0% | 1.54 | −2.4% | −2.0% | 86.7% | ▲3 |
| 10 | SportyTrader Community Vote | SportyTrader | Community vote | 870 | 570-300 | 65.5% | 1.61 | −2.6% | −2.2% | 82.3% | ▲3 |
Baselines over the same period: always backing the favorite — 68.0% win rate, −5.1% ROI; always backing the home team — 55.3% win rate, −5.8% ROI.
Also tracked: 17 more tipsters and sites met our criteria this month; median ROI across all 27 was −4.2%.
Ranked by Adj. ROI: raw ROI × picks ÷ (picks + 200), which pulls small samples toward zero so a short lucky run cannot top the table. ROI differences of a few percentage points over a few hundred picks are within normal variance, so treat neighboring ranks as roughly equal.
Experts vs. Computer Models vs. Community Picks
We grouped every qualifying source by type and pooled their picks over the last 12 months. For reference, always backing the favorite returned −5.1% at a 68.0% win rate.
Human tipsters
7 sources qualified with 1,441 picks between them: ROI −4.1%, win rate 65.9%, on the favorite 85.4% of the time.
Prediction sites & algorithms
17 sources qualified with 10,545 picks between them: ROI −5.6%, win rate 63.5%, on the favorite 81.9% of the time.
Community voting
3 sources qualified with 2,836 picks between them: ROI −3.2%, win rate 66.6%, on the favorite 87.2% of the time.
Top-Rated NBA Prediction Sources in Our Data
#1 Nathan Beighle – Tipster
Adj. ROI +1.8% · ROI +5.1% · 109 picks · 78-31 · win rate 71.6% · avg odds 1.53
Nathan Beighle is the leader in our November 2026 ranking, with an adjusted ROI of +1.8% (raw +5.1%) across 109 picks (78-31, 71.6% win rate). Average odds of 1.53 and a heavy lean toward favorites (85.3%) show this result comes from selective match winner picks, not sheer sample size. Worth tracking, not blindly following.
#2 Vitibet – Algorithm
Adj. ROI +1.5% · ROI +2.0% · 729 picks · 505-224 · win rate 69.3% · avg odds 1.56
Vitibet, an algorithm, ranks #2 with an adjusted ROI of +1.5% (raw +2.0%) over 729 picks (505-224, 69.3% win rate). Its much larger sample makes that figure more reliable, though average odds of 1.56 and an 84.0% favorite rate point to a conservative moneyline approach rather than a bigger inherent edge.
#3 Filip Tomic – Tipster
Adj. ROI +1.1% · ROI +2.9% · 117 picks · 80-37 · win rate 68.4% · avg odds 1.60
Filip Tomic sits #3 with an adjusted ROI of +1.1% (raw +2.9%) from 117 picks (80-37, 68.4% win rate). The highest on-favorite rate in the top three, 86.3%, paired with average odds of 1.60, points to a cautious, favorite-heavy moneyline strategy that still landed a positive return.
How Accurate Are NBA Predictions, Really?
NBA favorites win often, which makes almost any prediction source look accurate. Over the last 12 months, the favorite won 68.0% of games in our data. The median source in our ranking hit 66.5% of its picks and backed the favorite 85.4% of the time.
That is why a 65–70% win rate means little on its own. Once bookmaker margins are priced in, always backing the favorite returned −5.1%. The real test is ROI: only 5 of 27 sources finished in profit, and the margins at the top are small enough that luck still plays a part.
Our Methodology
Where does the data come from?
From our own tracking: tips.gg recorded and settled 20,021 NBA picks over the last 12 months across 52 sources (tipsters, prediction sites, algorithms and community votes). We do not use self-reported records.
What counts as a correct pick?
Only moneyline (match winner) picks are scored. A pick wins if the chosen team wins the game, overtime included.
Which odds do you use?
The average market price across major bookmakers close to tip-off, not the best available line. Real-world returns with line shopping can be slightly higher.
How is the table ordered?
By sample-adjusted ROI: raw ROI × picks ÷ (picks + 200). It pulls small samples toward zero, so a source with a short lucky run cannot outrank a long, steady record. Raw ROI is shown next to it.
What is the minimum sample, and how often is it updated?
At least 100 graded picks in the window and recent activity. The table refreshes monthly.
How to Use Prediction Sites Without Overtrusting Them
- Compare several sources. When models and tipsters disagree, the price often already reflects the uncertainty.
- Check the price, not just the pick. A correct pick at bad odds can still lose money over time.
- Respect sample size. A month of results says far less than a full season.
- Watch for favorite bias. A very high win rate with low average odds usually means the source rarely finds value.
No model or tipster beats the market every month. Use prediction sites as one input among several, compare their record with the favorite baseline, and check our daily NBA predictions for game-by-game analysis.
NBA Predictions FAQ
What is the most accurate basketball prediction site?
For NBA moneyline picks over the last 12 months, Nathan Beighle tops our sample-adjusted ranking (+5.1% ROI from 109 picks). Accuracy alone is a weak test, because the favorite won 68.0% of games over the same period.
Can AI predict NBA games?
Computer and AI models can estimate win probabilities well, but so does the betting market. In our data, prediction sites and algorithms averaged −5.6% ROI over the last 12 months, compared with −5.1% for always backing the favorite.
Are NBA predictions accurate?
Most NBA prediction sources pick the winner in roughly two of three games, but that is close to what always backing the favorite achieves (68.0%). Only 5 of 27 sources we track turned that into a profit.
What is the best basketball prediction app?
We rank sources by the record of their picks rather than by app features. Check the table above for the sources with the best NBA ROI over the last 12 months, and favor those with large, fully tracked samples.
What is the most trusted prediction site?
Trust should come from a long, independently checked record, not from a site’s own claims. Every source in our table has at least 100 graded NBA picks that tips.gg tracked and settled itself, with every win and loss counted at average market odds.
How does tips.gg rank NBA tipsters and prediction sites?
We calculate every number ourselves. tips.gg tracks each NBA pick from 52 tipsters, prediction sites and community votes, settles it against the final result and the average market odds, and works out ROI on a flat 1-unit stake. No self-reported records or screenshots are used. To stop short lucky runs from topping the table, we rank by sample-adjusted ROI (ROI × picks ÷ (picks + 200)). Sources need at least 100 graded picks in the last 12 months and recent activity to qualify, and the table refreshes monthly.
How do computer picks work?
Computer picks come from models that turn team ratings, injuries, rest and schedule data into win probabilities, then compare them with bookmaker odds. A pick is only valuable when the model’s probability is meaningfully higher than the price implies.
Bet Responsibly
Betting involves risk. This page is for information only, and past performance does not guarantee future results. You must be 21+ (US) or 18+ (UK) to bet. If gambling stops being fun, get help: 1-800-GAMBLER (US) or BeGambleAware.org (UK).