Forecast NBA 2026-27Detroit Pistons
● Updated · 7 NovDetroit drops from 60 to 57 wins.

Cade Cunningham
Jalen Duren is the player who weighs most in this projection: +5.4 projected impact.
The players contributing the most projected impact to this roster. Impact is on its real scale, not a 0-99 score.
How the minutes are allocated
Roster used by the projection · 2026-27 · 7 Nov
| Player | Min/game | Expected games | Season minutes |
|---|---|---|---|
| Cade Cunningham | 30.5 | 74.2 | 2,249 |
| Jalen Duren | 28.1 | 64.1 | 1,791 |
| Ausar Thompson | 24.0 | 68.1 | 1,625 |
| Duncan Robinson | 22.5 | 72.6 | 1,622 |
| John Collins | 22.8 | 70.5 | 1,598 |
| Kevin Huerter | 19.7 | 71.2 | 1,389 |
| Ronald Holland II | 17.3 | 74.7 | 1,281 |
| Daniss Jenkins | 17.8 | 68.5 | 1,212 |
| Paul Reed | 17.3 | 67.4 | 1,161 |
| Javonte Green | 14.6 | 68.7 | 996 |
| Isaiah Joe | 19.0 | 46.4 | 877 |
| Ebuka Okorie | 13.5 | 43.0 | 576 |
| Taurean Prince | 16.3 | 33.5 | 543 |
| Tolu Smith | 8.2 | 49.6 | 404 |
| Elijah Harkless | 13.7 | 24.5 | 332 |
| Chaz Lanier | 6.3 | 34.5 | 214 |
| Isaac Jones | 5.6 | 29.1 | 162 |
| Ugonna Onyenso | 9.2 | 11.0 | 101 |
- Allocated minutes
- 18,133
- Not assigned to players
- 1,547
- Team budget
- 19,680
Minutes per game are conditional on playing. Season minutes include expected participation and an overtime adjustment; the entire roster's minutes per game do not have to add up to 240.
The availability model is under review: it uses the probability of appearing at the start and does not yet include all late returns. This table shows the published reference, not a recalibration.
Where the allocation comes from
| Player | Probability of an opening appearance | Games conditional on an opening appearance | Minutes method |
|---|---|---|---|
| Cade Cunningham | 100.0 % | 74.2 | History and team context |
| Jalen Duren | 100.0 % | 64.1 | History and team context |
| Ausar Thompson | 100.0 % | 68.1 | History and team context |
| Duncan Robinson | 100.0 % | 72.6 | History and team context |
| John Collins | 100.0 % | 70.5 | History and team context |
| Kevin Huerter | 100.0 % | 71.2 | History and team context |
| Ronald Holland II | 100.0 % | 74.7 | History and team context |
| Daniss Jenkins | 100.0 % | 68.5 | History and team context |
| Paul Reed | 100.0 % | 67.4 | History and team context |
| Javonte Green | 100.0 % | 68.7 | History and team context |
| Isaiah Joe | 100.0 % | 46.4 | History and team context |
| Ebuka Okorie | 100.0 % | 43.0 | Historical average by draft band |
| Taurean Prince | 100.0 % | 33.5 | History and team context |
| Tolu Smith | 100.0 % | 49.6 | History and team context |
| Elijah Harkless | 100.0 % | 24.5 | History and team context |
| Chaz Lanier | 100.0 % | 34.5 | History and team context |
| Isaac Jones | 100.0 % | 29.1 | History and team context |
| Ugonna Onyenso | 50.4 % | 21.9 | Historical average by draft band |
Since the first version, on 14 Aug, the projection has moved from 51.4 to 56.8 wins.
See every version
- 14 Aug51.4 wins
- 21 Aug-0.22 · trigger not stated51.2 wins
- 22 Aug0.00 · roster change51.2 wins
- 24 Aug-1.42 · roster change49.8 wins
- 25 Aug0.00 · roster change49.8 wins
- 26 Aug+0.01 · roster change49.8 wins
- 27 Aug+0.53 · roster change50.3 wins
- 28 Aug+1.26 · roster change51.6 wins
- 29 Aug0.00 · roster change51.6 wins
- 30 Aug-0.02 · roster change51.5 wins
- 31 Aug-1.75 · roster change49.8 wins
- 1 Sept+1.37 · roster change51.2 wins
- 2 Sept0.00 · roster change51.2 wins
- 3 Sept0.00 · roster change51.2 wins
- 4 Sept+0.01 · roster change51.2 wins
- 6 Sept0.00 · roster change51.2 wins
- 8 Sept0.00 · roster change51.2 wins
- 9 Sept0.00 · roster change51.2 wins
- 10 Sept0.00 · roster change51.2 wins
- 11 Sept0.00 · roster change51.2 wins
- 12 Sept-0.02 · roster change51.2 wins
- 14 Sept-0.22 · roster change50.9 wins
- 15 Sept0.00 · roster change50.9 wins
- 16 Sept+0.02 · roster change51.0 wins
- 17 Sept0.00 · roster change51.0 wins
- 18 Sept0.00 · roster change51.0 wins
- 19 Sept+0.01 · roster change51.0 wins
- 20 Sept0.00 · roster change51.0 wins
- 24 Sept+0.06 · trigger not stated51.0 wins
- 25 Sept+0.02 · roster change51.0 wins
- 26 Sept0.00 · roster change51.0 wins
- 27 Sept-0.01 · roster change51.0 wins
- 28 Sept+0.06 · roster change51.1 wins
- 29 Sept+0.66 · roster change51.8 wins
- 30 Sept+0.02 · roster change51.8 wins
- 1 Oct-0.02 · roster change51.8 wins
- 2 Oct+0.33 · roster change52.1 wins
- 3 Oct-0.31 · roster change51.8 wins
- 4 Oct0.00 · roster change51.8 wins
- 5 Oct+0.04 · roster change51.8 wins
- 6 Oct0.00 · roster change51.8 wins
- 7 Oct0.00 · roster change51.8 wins
- 8 Oct+0.02 · roster change51.8 wins
- 9 Oct+0.01 · roster change51.9 wins
- 11 Oct+0.03 · roster change51.9 wins
- 12 Oct+0.01 · roster change51.9 wins
- 13 Oct0.00 · trigger not stated51.9 wins
- 14 Oct+0.05 · roster change51.9 wins
- 15 Oct-0.02 · roster change51.9 wins
- 16 Oct0.00 · roster change51.9 wins
- 17 Oct0.00 · roster change51.9 wins
- 18 Oct-0.10 · roster change51.8 wins
- 19 Oct-0.38 · roster change51.4 wins
- 20 Oct+0.02 · roster change51.5 wins
- 21 Oct0.00 · roster change51.5 wins
- 22 Oct+1.31 · roster change52.8 wins
- 23 Oct-0.09 · roster change52.7 wins
- 24 Oct+0.03 · roster change52.7 wins
- 25 Oct+2.58 · roster change55.3 wins
- 26 Oct+0.05 · roster change55.3 wins
- 27 Oct+2.50 · roster change57.8 wins
- 28 Oct+0.11 · roster change58.0 wins
- 29 Oct-4.74 · roster change53.2 wins
- 30 Oct+0.19 · roster change53.4 wins
- 31 Oct+0.28 · roster change53.7 wins
- 1 Nov+1.18 · roster change54.9 wins
- 2 Nov+0.07 · roster change54.9 wins
- 3 Nov+0.44 · roster change55.4 wins
- 4 Nov+3.09 · roster change58.5 wins
- 5 Nov-0.50 · roster change58.0 wins
- 6 Nov-0.96 · roster change57.0 wins
- 7 Nov-0.25 · roster change56.8 wins
This is how the model has done in other years
Detroit would win about 57 games; the model gives it a margin of 46 to 67 that is not yet well measured.
We tested it on seasons already played, knowing which players each team had: on average, we were off by about 7 wins per team.
The final record for the 2026-27 season is not available yet; when it ends, we will show the actual wins alongside the projected wins, without changing the forecast.
This is an estimate with the data we have: it does not read injury reports, and a trade does not count until we run it again. Every figure comes from games already played.
From here
Technical detail
Uncertainty
Nominal 80% range: 46–67. Coverage of this forecasting procedure has not yet been validated.
Coverage of this forecasting procedure has not yet been validated.
- worse: 46 · wins · Nominal 80% range
- better: 67 · wins · Nominal 80% range
How this model has performed
Measured on seasons already played, not on this one. Every figure with its window and its status.
- Nominal 80% range: — · Coverage of this forecasting procedure has not yet been validated.
- Coverage recorded on 12 August for the residual interval: coverage 81.30 % · Coverage of this forecasting procedure has not yet been validated.
- Average error in wins from the season simulation: average error 7.30 · 2019-2025 · n=210 · validated · rosters that actually played (information known after the fact)
- Average error in conference seeding: average error 2.64 · 2019-2025 · n=210 · validated · rosters that actually played (information known after the fact)
- Average error in wins from the earlier, coarser method: average error 6.93 · 2005-2025 · n=555 · experimental
The real outcome
The final record for the 2026-27 season is not available yet; when it ends, we will show the actual wins alongside the projected wins, without changing the forecast.
The question
How many games will Detroit Pistons win in 2026-27?
What this does not prove
- Coverage of this forecasting procedure has not yet been validated.
- This is not a betting line or a market probability: it is expected wins with a range.
- It rests on today's roster. A later trade is not inside it until the model is rerun.
- The win split does not break the schedule down game by game.
The evidence
Detroit Pistons: 56.8 projected wins in 2026-27
What has changed since the first version
Where it comes from
Confidence: low · Rights: Licensed data: viewable here; ask before redistributing.
- Source: 2026-11-07
- Model input: 2026-11-07
- Computation: 2026-11-07
- This answer: 2026-11-07
Where this comes from: Team season projection · up to date · Roster the projection consumed · up to date · Player projection · up to date · Today's rosters · up to date · Game results · closed season · its clock is the season · Measured model accuracy · closed season · its clock is the season








