// NBA · Tuesday 27 October 2026
Detroit Pistons vs New York Knicks prediction
Start 8:00pm ET ·
- Pick
- New York Knicks
- Chance
- 62%
- Light
- Orange
- Confidence
- Medium
Full breakdown: team stats, players & form →
Result
Final: Detroit Pistons 97 – 111 New York Knicks. Our pick, New York Knicks, won ✓.
Recent results
- Detroit Pistons: 3 wins from the last 3, average margin +12.7 points (W 106–93 @ PHI, W 128–111 @ MIA, W 121–113 v BOS).
- New York Knicks: 0 wins from the last 3, average margin −6.3 points (L 102–111 v ORL, L 103–107 @ BOS, L 100–106 v PHI).
This is the first meeting between these teams this season. Results are taken from final scores, most recent first.
Our pre-game preview
New York Knicks are our pick at home against the Detroit Pistons. The model gives them a 62% chance of winning, which makes this game a lean (55 to 65%).
On the rosters we expect, New York Knicks rate as the stronger team (90.2 to 89.4 on our team-strength rating), and that is the main reason for the pick.
Recent form: Detroit Pistons have been winning by 7.2 points a game, while New York Knicks have been winning by 5.5 points a game.
Injuries: Detroit Pistons will be without Jalen Duren (19 min a game). Players listed as unsure are counted by how likely they are to play.
Season so far: Detroit Pistons are 6–2 and New York Knicks are 5–4.
This preview was written from the data we had before the game.
Game review
What happened
The Knicks beat the Pistons 111–97 at home. Karl-Anthony Towns led them with 27 points and 20 rebounds, and Jalen Brunson added 23. For the Pistons, Paul Reed had 22 points and 9 rebounds.
What the model got right
The model gave the Knicks a 62% chance at home, mainly because of their higher team-strength rating (90.2 to 89.4), and they won by 14. Jalen Duren missed the game for the Pistons, as the preview expected.
What didn't work
Not much went against the model in this one. Paul Reed's 22 points for the Pistons weren't enough to change the result.
Why
The result fits what the model leaned on, the team-strength rating. One win doesn't prove the model right: at 62%, about 4 in 10 games like this go the other way, and every result stays on our record.
Written after the game. Scores and stats are checked against two independent sources.
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Probabilities come from ProbaLab's own model. They are for entertainment, not advice. How it works.