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4 Live NBA & basketball picks from a data model, live odds and public resultsNBA picks from a data model
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Track record Since 15 September 2026 Last graded Mon, 2 Nov

Every pick, won or lost

Each pick is published before the game starts and marked won or lost from the final score when it ends. Nothing is edited afterwards and nothing is deleted, so the losses are on this page beside the wins. Every figure carries the number of picks it is based on.

Download the recordXLSX · 671 KB The last 12 months as a spreadsheet, rebuilt every morning
60% Win rate · 7519 won, 5012 lost
75.7% Best bets · 131 won, 42 lost
12,531 Picks graded
49 Days graded

A best bet is a game whose best tip the model rates 86 or higher out of 100 — the same bar that page publishes at, so these are exactly the picks it listed.

This record is 49 days old and 12,531 picks long. That is a start, not proof: a handful of days cannot tell a good model from a lucky week. Read it, then come back as it grows.

Daily win rate

Since 15 Sep · every graded day

Month by month

Every settled pick, and the best bets alone
Month Win rate Best bets Picks
Nov 2026 60.9% — 616
Oct 2026 61.3% 73.9% 82 of 111 10,068
Sep 2026 52.8% 79% 49 of 62 1,847

By market

Every settled pick, split three ways
Moneyline 63% 2688 of 4265 won
Over / under 59% 2484 of 4212 won
Point spread 57.9% 2347 of 4054 won

By confidence

Does the model’s own score predict anything?
Confidence Picks Won Win rate
86 and overany market, not only best tips 303 220 72.6%
80 to 85 2319 1729 74.6%
70 to 79 2031 1307 64.4%
60 to 69 3191 1909 59.8%
Under 60 4687 2354 50.2%

A confidence score is the model saying how sure it is. If it means anything, the top band should win more often than the bottom one. This record is far too short to settle that either way, which is why each band prints the number of picks behind it — judge the figures against those counts, not on their own.

Day by day

The last two weeks, newest first
Day Picks Won Win rate Best bets
Mon, 2 Nov 27 16 59.3% —
Sun, 1 Nov 589 359 61% —
Sat, 31 Oct 820 507 61.8% 50% 1 of 2
Fri, 30 Oct 347 224 64.6% 100% 1 of 1
Thu, 29 Oct 191 117 61.3% 100% 1 of 1
Wed, 28 Oct 354 226 63.8% 100% 1 of 1
Tue, 27 Oct 213 131 61.5% —
Mon, 26 Oct 146 95 65.1% 0% 0 of 1
Sun, 25 Oct 629 389 61.8% —
Sat, 24 Oct 763 481 63% 66.7% 2 of 3
Fri, 23 Oct 297 204 68.7% —
Thu, 22 Oct 245 150 61.2% 100% 1 of 1
Wed, 21 Oct 336 225 67% 100% 3 of 3
Tue, 20 Oct 174 104 59.8% —

The last few days link to their board, with every pick marked won or lost.

How the record is kept

A pick is one prediction on one market. The model publishes it before the game starts, with the odds it was priced against and a confidence score, and it is marked won or lost from the final score when the game ends. Ties and cancelled games settle no bet, so they are left out of both columns rather than counted as anything.

Nothing here is edited after a game starts and nothing is removed. That is the only claim this page makes, and it is the one worth checking: today’s board shows the picks before they are played, and this page shows the same picks after. The numbers on both come from the same place.

There is no profit figure here, and there will not be one. A staking return is a number about money nobody actually put down, a few long-priced winners move it further than a month of picks does, and it invites you to read a prediction site as an investment. What the model can honestly be judged on is how often it is right and how many times it has been asked — both are on this page.

Frequently asked questions

One call on one market. A game where the model published a moneyline pick and an over/under pick counts as two, and each is graded on its own. Games the model had no pick for are not counted, and neither are ties or cancelled games, which settle no bet.
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Every pick on this page was published before its game started. An account opens the ones that have not been played yet, on every game, before the game starts.An account opens every pick before the game starts.

Past results do not promise future ones: these are a model’s opinions, not certainties. Bet only what losing would not change your week. How we make our predictions