Forecast NBA 2026-27Atlanta Hawks
● Updated · 7 NovAtlanta drops from 46 to 45 wins.

Dyson Daniels
Jalen Johnson is the player who weighs most in this projection: +2.5 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 |
|---|---|---|---|
| Dyson Daniels | 28.5 | 77.3 | 2,189 |
| Nickeil Alexander-Walker | 27.9 | 77.3 | 2,143 |
| Onyeka Okongwu | 26.6 | 75.8 | 2,005 |
| Jalen Johnson | 31.3 | 60.9 | 1,892 |
| CJ McCollum | 22.4 | 72.3 | 1,607 |
| Luguentz Dort | 21.8 | 74.1 | 1,601 |
| Aaron Wiggins | 19.2 | 72.5 | 1,378 |
| Kingston Flemings | 19.9 | 61.1 | 1,210 |
| Jock Landale | 16.9 | 55.9 | 938 |
| Corey Kispert | 14.8 | 51.7 | 760 |
| Mouhamed Gueye | 14.7 | 44.3 | 646 |
| Zuby Ejiofor | 12.7 | 42.7 | 540 |
| Asa Newell | 12.5 | 43.5 | 539 |
| Dorian Finney-Smith | 10.0 | 32.7 | 325 |
| RayJ Dennis | 8.8 | 18.4 | 162 |
| Jalen Wilson | 12.3 | 10.9 | 132 |
| Keshon Gilbert | 16.0 | 6.2 | 98 |
| Henri Veesaar | 9.2 | 1.1 | 10 |
- Allocated minutes
- 18,175
- Not assigned to players
- 1,505
- 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 |
|---|---|---|---|
| Dyson Daniels | 100.0 % | 77.3 | History and team context |
| Nickeil Alexander-Walker | 100.0 % | 77.3 | History and team context |
| Onyeka Okongwu | 100.0 % | 75.8 | History and team context |
| Jalen Johnson | 100.0 % | 60.9 | History and team context |
| CJ McCollum | 100.0 % | 72.3 | History and team context |
| Luguentz Dort | 100.0 % | 74.1 | History and team context |
| Aaron Wiggins | 100.0 % | 72.5 | History and team context |
| Kingston Flemings | 100.0 % | 61.1 | Historical average by draft band |
| Jock Landale | 100.0 % | 55.9 | History and team context |
| Corey Kispert | 100.0 % | 51.7 | History and team context |
| Mouhamed Gueye | 81.7 % | 54.2 | History and team context |
| Zuby Ejiofor | 100.0 % | 42.7 | Historical average by draft band |
| Asa Newell | 100.0 % | 43.5 | History and team context |
| Dorian Finney-Smith | 100.0 % | 32.7 | History and team context |
| RayJ Dennis | 100.0 % | 18.4 | History and team context |
| Jalen Wilson | 81.7 % | 13.3 | History and team context |
| Keshon Gilbert | 24.8 % | 24.9 | History and team context |
| Henri Veesaar | 50.4 % | 2.2 | Historical average by draft band |
Since the first version, on 14 Aug, the projection has moved from 36.8 to 45.5 wins.
See every version
- 14 Aug36.8 wins
- 21 Aug+1.06 · trigger not stated37.9 wins
- 22 Aug0.00 · roster change37.9 wins
- 24 Aug+0.28 · roster change38.1 wins
- 25 Aug0.00 · roster change38.1 wins
- 26 Aug+0.02 · roster change38.1 wins
- 27 Aug+0.82 · roster change39.0 wins
- 28 Aug-1.76 · roster change37.2 wins
- 29 Aug0.00 · roster change37.2 wins
- 30 Aug-0.02 · roster change37.2 wins
- 31 Aug+0.53 · roster change37.7 wins
- 1 Sept+0.12 · roster change37.8 wins
- 2 Sept0.00 · roster change37.8 wins
- 3 Sept0.00 · roster change37.8 wins
- 4 Sept+0.02 · roster change37.9 wins
- 6 Sept0.00 · roster change37.9 wins
- 8 Sept-0.01 · roster change37.9 wins
- 9 Sept0.00 · roster change37.9 wins
- 10 Sept0.00 · roster change37.9 wins
- 11 Sept0.00 · roster change37.9 wins
- 12 Sept+0.43 · roster change38.3 wins
- 14 Sept-0.08 · roster change38.2 wins
- 15 Sept0.00 · roster change38.2 wins
- 16 Sept+0.04 · roster change38.2 wins
- 17 Sept0.00 · roster change38.2 wins
- 18 Sept0.00 · roster change38.2 wins
- 19 Sept0.00 · roster change38.2 wins
- 20 Sept0.00 · roster change38.2 wins
- 24 Sept+0.77 · trigger not stated39.0 wins
- 25 Sept+0.26 · roster change39.3 wins
- 26 Sept+0.01 · roster change39.3 wins
- 27 Sept-0.01 · roster change39.3 wins
- 28 Sept+0.04 · roster change39.3 wins
- 29 Sept+0.02 · roster change39.3 wins
- 30 Sept+0.01 · roster change39.3 wins
- 1 Oct-0.40 · roster change38.9 wins
- 2 Oct+0.34 · roster change39.3 wins
- 3 Oct-0.29 · roster change39.0 wins
- 4 Oct0.00 · roster change39.0 wins
- 5 Oct+0.39 · roster change39.4 wins
- 6 Oct0.00 · roster change39.4 wins
- 7 Oct0.00 · roster change39.4 wins
- 8 Oct+0.03 · roster change39.4 wins
- 9 Oct+0.02 · roster change39.4 wins
- 11 Oct+0.03 · roster change39.5 wins
- 12 Oct0.00 · roster change39.5 wins
- 13 Oct0.00 · trigger not stated39.5 wins
- 14 Oct-0.09 · roster change39.4 wins
- 15 Oct-0.01 · roster change39.4 wins
- 16 Oct0.00 · roster change39.4 wins
- 17 Oct-0.01 · roster change39.4 wins
- 18 Oct-0.11 · roster change39.2 wins
- 19 Oct-0.40 · roster change38.8 wins
- 20 Oct0.00 · roster change38.8 wins
- 21 Oct0.00 · roster change38.8 wins
- 22 Oct+0.04 · roster change38.9 wins
- 23 Oct+3.13 · roster change42.0 wins
- 24 Oct+0.04 · roster change42.0 wins
- 25 Oct+9.73 · roster change51.8 wins
- 26 Oct-1.32 · roster change50.5 wins
- 27 Oct-0.03 · roster change50.4 wins
- 28 Oct-2.19 · roster change48.2 wins
- 29 Oct+0.08 · roster change48.3 wins
- 30 Oct-3.53 · roster change44.8 wins
- 31 Oct+1.43 · roster change46.2 wins
- 1 Nov-0.68 · roster change45.5 wins
- 2 Nov-3.08 · roster change42.5 wins
- 3 Nov+0.64 · roster change43.1 wins
- 4 Nov+0.01 · roster change43.1 wins
- 5 Nov+0.63 · roster change43.7 wins
- 6 Nov+1.46 · roster change45.2 wins
- 7 Nov+0.27 · roster change45.5 wins
This is how the model has done in other years
Atlanta would win about 45 games; the model gives it a margin of 35 to 56 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: 35–56. Coverage of this forecasting procedure has not yet been validated.
Coverage of this forecasting procedure has not yet been validated.
- worse: 35 · wins · Nominal 80% range
- better: 56 · 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 Atlanta Hawks 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
Atlanta Hawks: 45.5 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








