Forecast NBA 2026-27Denver Nuggets
● Updated · 7 NovDenver drops from 54 to 50 wins.

Nikola Jokic
Nikola Jokic is the player who weighs most in this projection: +10.2 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 |
|---|---|---|---|
| Nikola Jokic | 36.0 | 72.4 | 2,587 |
| Jamal Murray | 32.9 | 74.3 | 2,432 |
| Christian Braun | 27.0 | 70.6 | 1,889 |
| DeMar DeRozan | 24.8 | 66.2 | 1,629 |
| Aaron Gordon | 24.6 | 64.5 | 1,577 |
| Cameron Johnson | 23.8 | 52.0 | 1,231 |
| Marvin Bagley III | 18.2 | 65.6 | 1,188 |
| Tyus Jones | 12.3 | 68.0 | 829 |
| Trevon Brazile | 13.4 | 62.1 | 827 |
| Ryan Nembhard | 15.7 | 47.3 | 739 |
| Julian Strawther | 15.1 | 42.3 | 636 |
| Bryce Hopkins | 10.6 | 51.2 | 541 |
| Cam Whitmore | 15.0 | 33.6 | 500 |
| Alpha Diallo | 11.9 | 40.4 | 476 |
| Zeke Nnaji | 11.3 | 37.3 | 418 |
| DaRon Holmes II | 9.5 | 35.0 | 329 |
| Spencer Jones | 19.0 | 15.0 | 281 |
- Allocated minutes
- 18,109
- Not assigned to players
- 1,571
- 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 |
|---|---|---|---|
| Nikola Jokic | 100.0 % | 72.4 | History and team context |
| Jamal Murray | 100.0 % | 74.3 | History and team context |
| Christian Braun | 100.0 % | 70.6 | History and team context |
| DeMar DeRozan | 100.0 % | 66.2 | History and team context |
| Aaron Gordon | 100.0 % | 64.5 | History and team context |
| Cameron Johnson | 100.0 % | 52.0 | History and team context |
| Marvin Bagley III | 100.0 % | 65.6 | History and team context |
| Tyus Jones | 100.0 % | 68.0 | History and team context |
| Trevon Brazile | 100.0 % | 62.1 | Historical average by draft band |
| Ryan Nembhard | 100.0 % | 47.3 | History and team context |
| Julian Strawther | 81.7 % | 51.8 | History and team context |
| Bryce Hopkins | 100.0 % | 51.2 | Historical average by draft band |
| Cam Whitmore | 100.0 % | 33.6 | History and team context |
| Alpha Diallo | 100.0 % | 40.4 | History and team context |
| Zeke Nnaji | 100.0 % | 37.3 | History and team context |
| DaRon Holmes II | 100.0 % | 35.0 | History and team context |
| Spencer Jones | 81.7 % | 18.3 | History and team context |
Since the first version, on 14 Aug, the projection has moved from 54.7 to 49.6 wins.
See every version
- 14 Aug54.7 wins
- 21 Aug-0.29 · trigger not stated54.4 wins
- 22 Aug0.00 · roster change54.4 wins
- 24 Aug-0.23 · roster change54.2 wins
- 25 Aug0.00 · roster change54.2 wins
- 26 Aug-0.05 · roster change54.1 wins
- 27 Aug-0.06 · roster change54.1 wins
- 28 Aug-0.44 · roster change53.6 wins
- 29 Aug0.00 · roster change53.6 wins
- 30 Aug+1.10 · roster change54.7 wins
- 31 Aug+0.41 · roster change55.1 wins
- 1 Sept-0.54 · roster change54.6 wins
- 2 Sept-0.01 · roster change54.6 wins
- 3 Sept0.00 · roster change54.6 wins
- 4 Sept+0.01 · roster change54.6 wins
- 6 Sept0.00 · roster change54.6 wins
- 8 Sept-0.02 · roster change54.6 wins
- 9 Sept+0.01 · roster change54.6 wins
- 10 Sept-0.01 · roster change54.6 wins
- 11 Sept0.00 · roster change54.6 wins
- 12 Sept-0.01 · roster change54.6 wins
- 14 Sept+0.14 · roster change54.7 wins
- 15 Sept0.00 · roster change54.7 wins
- 16 Sept+0.01 · roster change54.7 wins
- 17 Sept+0.01 · roster change54.7 wins
- 18 Sept0.00 · roster change54.7 wins
- 19 Sept-0.08 · roster change54.7 wins
- 20 Sept0.00 · roster change54.7 wins
- 24 Sept-0.01 · trigger not stated54.6 wins
- 25 Sept+0.04 · roster change54.7 wins
- 26 Sept+0.01 · roster change54.7 wins
- 27 Sept-0.01 · roster change54.7 wins
- 28 Sept+0.05 · roster change54.7 wins
- 29 Sept+0.18 · roster change54.9 wins
- 30 Sept+0.01 · roster change54.9 wins
- 1 Oct-1.16 · roster change53.8 wins
- 2 Oct+0.45 · roster change54.2 wins
- 3 Oct-1.20 · roster change53.0 wins
- 4 Oct0.00 · roster change53.0 wins
- 5 Oct+1.15 · roster change54.2 wins
- 6 Oct0.00 · roster change54.2 wins
- 7 Oct0.00 · roster change54.2 wins
- 8 Oct0.00 · roster change54.2 wins
- 9 Oct+0.01 · roster change54.2 wins
- 11 Oct+0.02 · roster change54.2 wins
- 12 Oct0.00 · roster change54.2 wins
- 13 Oct0.00 · trigger not stated54.2 wins
- 14 Oct+0.14 · roster change54.3 wins
- 15 Oct-0.08 · roster change54.3 wins
- 16 Oct0.00 · roster change54.3 wins
- 17 Oct+0.01 · roster change54.3 wins
- 18 Oct-0.06 · roster change54.2 wins
- 19 Oct-0.25 · roster change54.0 wins
- 20 Oct-0.06 · roster change53.9 wins
- 21 Oct0.00 · roster change53.9 wins
- 22 Oct-0.02 · roster change53.9 wins
- 23 Oct-0.40 · roster change53.5 wins
- 24 Oct-1.55 · roster change51.9 wins
- 25 Oct+0.02 · roster change52.0 wins
- 26 Oct-0.58 · roster change51.4 wins
- 27 Oct-0.16 · roster change51.2 wins
- 28 Oct-4.74 · roster change46.5 wins
- 29 Oct-0.88 · roster change45.6 wins
- 30 Oct+2.64 · roster change48.2 wins
- 31 Oct+0.52 · roster change48.8 wins
- 1 Nov+2.03 · roster change50.8 wins
- 2 Nov0.00 · roster change50.8 wins
- 3 Nov-0.48 · roster change50.3 wins
- 4 Nov-2.20 · roster change48.1 wins
- 5 Nov+0.64 · roster change48.7 wins
- 6 Nov+1.02 · roster change49.8 wins
- 7 Nov-0.16 · roster change49.6 wins
This is how the model has done in other years
Denver would win about 50 games; the model gives it a margin of 39 to 60 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: 39–60. Coverage of this forecasting procedure has not yet been validated.
Coverage of this forecasting procedure has not yet been validated.
- worse: 39 · wins · Nominal 80% range
- better: 60 · 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 Denver Nuggets 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
Denver Nuggets: 49.6 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








