Forecast NBA 2026-27Golden State Warriors
● Updated · 7 NovGolden State rises from 37 to 46 wins.

Brandin Podziemski
Stephen Curry is the player who weighs most in this projection: +5.1 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 |
|---|---|---|---|
| Brandin Podziemski | 29.1 | 66.5 | 1,924 |
| Stephen Curry | 29.0 | 57.0 | 1,641 |
| De'Anthony Melton | 21.5 | 64.9 | 1,387 |
| Will Richard | 19.0 | 72.7 | 1,373 |
| Draymond Green | 22.8 | 60.1 | 1,358 |
| Yaxel Lendeborg | 20.8 | 64.6 | 1,333 |
| Moses Moody | 25.5 | 46.8 | 1,188 |
| Gui Santos | 20.8 | 56.0 | 1,155 |
| Gary Payton II | 15.1 | 68.1 | 1,017 |
| Al Horford | 18.3 | 53.4 | 967 |
| Georges Niang | 15.8 | 59.2 | 927 |
| Jimmy Butler III | 29.8 | 28.5 | 844 |
| Charles Bassey | 14.8 | 48.9 | 718 |
| Graham Ike | 12.4 | 54.9 | 675 |
| Kristaps Porzingis | 22.8 | 26.9 | 611 |
| LJ Cryer | 13.0 | 45.5 | 588 |
| Malevy Leons | 8.8 | 34.5 | 302 |
- Allocated minutes
- 18,008
- Not assigned to players
- 1,672
- 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 |
|---|---|---|---|
| Brandin Podziemski | 100.0 % | 66.5 | History and team context |
| Stephen Curry | 100.0 % | 57.0 | History and team context |
| De'Anthony Melton | 100.0 % | 64.9 | History and team context |
| Will Richard | 100.0 % | 72.7 | History and team context |
| Draymond Green | 100.0 % | 60.1 | History and team context |
| Yaxel Lendeborg | 100.0 % | 64.6 | Historical average by draft band |
| Moses Moody | 93.6 % | 50.0 | History and team context |
| Gui Santos | 100.0 % | 56.0 | History and team context |
| Gary Payton II | 100.0 % | 68.1 | History and team context |
| Al Horford | 100.0 % | 53.4 | History and team context |
| Georges Niang | 100.0 % | 59.2 | History before the return |
| Jimmy Butler III | 81.7 % | 34.9 | History and team context |
| Charles Bassey | 100.0 % | 48.9 | History and team context |
| Graham Ike | 100.0 % | 54.9 | History and team context |
| Kristaps Porzingis | 66.5 % | 40.5 | History and team context |
| LJ Cryer | 100.0 % | 45.5 | History and team context |
| Malevy Leons | 100.0 % | 34.5 | History and team context |
Since the first version, on 14 Aug, the projection has moved from 41.7 to 46.3 wins.
See every version
- 14 Aug41.7 wins
- 21 Aug+0.06 · trigger not stated41.8 wins
- 22 Aug0.00 · roster change41.8 wins
- 24 Aug-2.34 · roster change39.4 wins
- 25 Aug0.00 · roster change39.4 wins
- 26 Aug0.00 · roster change39.4 wins
- 27 Aug+0.23 · roster change39.6 wins
- 28 Aug+1.94 · roster change41.6 wins
- 29 Aug0.00 · roster change41.6 wins
- 30 Aug-0.44 · roster change41.1 wins
- 31 Aug-0.79 · roster change40.4 wins
- 1 Sept+1.93 · roster change42.3 wins
- 2 Sept0.00 · roster change42.3 wins
- 3 Sept0.00 · roster change42.3 wins
- 4 Sept+0.01 · roster change42.3 wins
- 6 Sept0.00 · roster change42.3 wins
- 8 Sept+0.01 · roster change42.3 wins
- 9 Sept0.00 · roster change42.3 wins
- 10 Sept0.00 · roster change42.3 wins
- 11 Sept0.00 · roster change42.3 wins
- 12 Sept-0.01 · roster change42.3 wins
- 14 Sept+0.20 · roster change42.5 wins
- 15 Sept0.00 · roster change42.5 wins
- 16 Sept+0.02 · roster change42.5 wins
- 17 Sept0.00 · roster change42.5 wins
- 18 Sept0.00 · roster change42.5 wins
- 19 Sept+0.01 · roster change42.5 wins
- 20 Sept0.00 · roster change42.5 wins
- 24 Sept0.00 · trigger not stated42.5 wins
- 25 Sept+0.03 · roster change42.5 wins
- 26 Sept+0.02 · roster change42.6 wins
- 27 Sept-0.02 · roster change42.5 wins
- 28 Sept+0.04 · roster change42.6 wins
- 29 Sept-0.46 · roster change42.1 wins
- 30 Sept+0.01 · roster change42.1 wins
- 1 Oct+0.26 · roster change42.4 wins
- 2 Oct+0.17 · roster change42.6 wins
- 3 Oct-0.13 · roster change42.4 wins
- 4 Oct0.00 · roster change42.4 wins
- 5 Oct-0.26 · roster change42.2 wins
- 6 Oct0.00 · roster change42.2 wins
- 7 Oct0.00 · roster change42.2 wins
- 8 Oct-0.01 · roster change42.2 wins
- 9 Oct+0.02 · roster change42.2 wins
- 11 Oct+0.02 · roster change42.2 wins
- 12 Oct0.00 · roster change42.2 wins
- 13 Oct0.00 · trigger not stated42.2 wins
- 14 Oct-0.46 · roster change41.8 wins
- 15 Oct-0.01 · roster change41.7 wins
- 16 Oct0.00 · roster change41.7 wins
- 17 Oct0.00 · roster change41.7 wins
- 18 Oct-0.08 · roster change41.7 wins
- 19 Oct+0.43 · roster change42.1 wins
- 20 Oct-0.11 · roster change42.0 wins
- 21 Oct0.00 · roster change42.0 wins
- 22 Oct+0.03 · roster change42.0 wins
- 23 Oct-4.12 · roster change37.9 wins
- 24 Oct+0.02 · roster change37.9 wins
- 25 Oct-2.36 · roster change35.5 wins
- 26 Oct-1.66 · roster change33.9 wins
- 27 Oct-0.05 · roster change33.8 wins
- 28 Oct+4.66 · roster change38.5 wins
- 29 Oct+0.07 · roster change38.6 wins
- 30 Oct+2.96 · roster change41.5 wins
- 31 Oct+0.74 · roster change42.3 wins
- 1 Nov+3.05 · roster change45.3 wins
- 2 Nov+0.29 · roster change45.6 wins
- 3 Nov+0.63 · roster change46.2 wins
- 4 Nov-1.78 · roster change44.5 wins
- 5 Nov+0.17 · roster change44.6 wins
- 6 Nov0.00 · roster change44.6 wins
- 7 Nov+1.65 · roster change46.3 wins
This is how the model has done in other years
Golden State would win about 46 games; the model gives it a margin of 36 to 57 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: 36–57. Coverage of this forecasting procedure has not yet been validated.
Coverage of this forecasting procedure has not yet been validated.
- worse: 36 · wins · Nominal 80% range
- better: 57 · 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 Golden State Warriors 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
Golden State Warriors: 46.3 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








