SportiveWorld

Forecast NBA 2026-27Brooklyn Nets

Updated · 7 Nov

Brooklyn rises from 20 to 27 wins.

27.3projected wins17–38forecast interval20wins in 2025-26
projected winsforecast interval2025-26
Julius Randle

Julius Randle

Josh Minott is the player who weighs most in this projection: +2.0 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

PlayerMin/gameExpected gamesSeason minutes
Julius Randle28.274.02,072
Michael Porter Jr.27.871.91,989
Noah Clowney23.771.01,668
Nolan Traore19.870.31,385
Egor Demin22.260.51,336
Day'Ron Sharpe19.168.71,300
Keon Ellis17.771.91,266
Chaney Johnson18.059.51,062
Mikel Brown Jr.20.053.21,056
Terance Mann18.744.6827
Danny Wolf18.644.2815
Josh Minott17.445.0776
Drake Powell18.140.8733
Moritz Wagner11.960.8721
Ben Saraf17.131.2531
Joshua Jefferson12.527.6344
Tyler Bilodeau11.511.0127
Armoni Brooks11.25.965
Grant Nelson9.76.159
Allocated minutes
18,132
Not assigned to players
1,548
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
PlayerProbability of an opening appearanceGames conditional on an opening appearanceMinutes method
Julius Randle100.0 %74.0History and team context
Michael Porter Jr.100.0 %71.9History and team context
Noah Clowney100.0 %71.0History and team context
Nolan Traore100.0 %70.3History and team context
Egor Demin100.0 %60.5History and team context
Day'Ron Sharpe100.0 %68.7History and team context
Keon Ellis100.0 %71.9History and team context
Chaney Johnson100.0 %59.5History and team context
Mikel Brown Jr.100.0 %53.2Historical average by draft band
Terance Mann100.0 %44.6History and team context
Danny Wolf100.0 %44.2History and team context
Josh Minott100.0 %45.0History and team context
Drake Powell100.0 %40.8History and team context
Moritz Wagner100.0 %60.8History and team context
Ben Saraf100.0 %31.2History and team context
Joshua Jefferson100.0 %27.6Historical average by draft band
Tyler Bilodeau50.4 %21.9Historical average by draft band
Armoni Brooks14.0 %41.8History and team context
Grant Nelson24.8 %24.5History and team context

Since the first version, on 14 Aug, the projection has moved from 28.5 to 27.3 wins.

21.031.027.314 Aug7 Nov
See every version
  • 14 Aug28.5 wins
  • 21 Aug-0.40 · trigger not stated28.1 wins
  • 22 Aug0.00 · roster change28.1 wins
  • 24 Aug-4.03 · roster change24.1 wins
  • 25 Aug0.00 · roster change24.1 wins
  • 26 Aug0.00 · roster change24.1 wins
  • 27 Aug+0.81 · roster change24.9 wins
  • 28 Aug+4.24 · roster change29.1 wins
  • 29 Aug+0.01 · roster change29.1 wins
  • 30 Aug-0.02 · roster change29.1 wins
  • 31 Aug-4.95 · roster change24.1 wins
  • 1 Sept+3.94 · roster change28.1 wins
  • 2 Sept-0.01 · roster change28.1 wins
  • 3 Sept0.00 · roster change28.1 wins
  • 4 Sept+0.02 · roster change28.1 wins
  • 6 Sept0.00 · roster change28.1 wins
  • 8 Sept0.00 · roster change28.1 wins
  • 9 Sept0.00 · roster change28.1 wins
  • 10 Sept0.00 · roster change28.1 wins
  • 11 Sept0.00 · roster change28.1 wins
  • 12 Sept-0.02 · roster change28.1 wins
  • 14 Sept-0.13 · roster change27.9 wins
  • 15 Sept0.00 · roster change27.9 wins
  • 16 Sept+0.03 · roster change28.0 wins
  • 17 Sept0.00 · roster change28.0 wins
  • 18 Sept0.00 · roster change28.0 wins
  • 19 Sept0.00 · roster change28.0 wins
  • 20 Sept0.00 · roster change28.0 wins
  • 24 Sept+0.06 · trigger not stated28.0 wins
  • 25 Sept+0.02 · roster change28.1 wins
  • 26 Sept+0.01 · roster change28.1 wins
  • 27 Sept-0.02 · roster change28.1 wins
  • 28 Sept+0.06 · roster change28.1 wins
  • 29 Sept+0.65 · roster change28.8 wins
  • 30 Sept+0.01 · roster change28.8 wins
  • 1 Oct-0.63 · roster change28.1 wins
  • 2 Oct+0.27 · roster change28.4 wins
  • 3 Oct-0.25 · roster change28.2 wins
  • 4 Oct0.00 · roster change28.2 wins
  • 5 Oct+0.64 · roster change28.8 wins
  • 6 Oct0.00 · roster change28.8 wins
  • 7 Oct0.00 · roster change28.8 wins
  • 8 Oct+0.02 · roster change28.8 wins
  • 9 Oct+0.01 · roster change28.8 wins
  • 11 Oct+0.03 · roster change28.9 wins
  • 12 Oct0.00 · roster change28.9 wins
  • 13 Oct0.00 · trigger not stated28.9 wins
  • 14 Oct-0.05 · roster change28.8 wins
  • 15 Oct-0.01 · roster change28.8 wins
  • 16 Oct0.00 · roster change28.8 wins
  • 17 Oct-0.01 · roster change28.8 wins
  • 18 Oct-0.10 · roster change28.7 wins
  • 19 Oct-0.37 · roster change28.3 wins
  • 20 Oct0.00 · roster change28.3 wins
  • 21 Oct0.00 · roster change28.3 wins
  • 22 Oct+0.03 · roster change28.4 wins
  • 23 Oct-1.12 · roster change27.2 wins
  • 24 Oct+0.01 · roster change27.2 wins
  • 25 Oct+0.12 · roster change27.4 wins
  • 26 Oct+1.10 · roster change28.5 wins
  • 27 Oct-4.98 · roster change23.5 wins
  • 28 Oct-0.19 · roster change23.3 wins
  • 29 Oct+1.85 · roster change25.1 wins
  • 30 Oct-0.01 · roster change25.1 wins
  • 31 Oct-0.27 · roster change24.9 wins
  • 1 Nov-1.32 · roster change23.5 wins
  • 2 Nov+0.89 · roster change24.4 wins
  • 3 Nov+1.19 · roster change25.6 wins
  • 4 Nov-0.27 · roster change25.4 wins
  • 5 Nov+0.62 · roster change26.0 wins
  • 6 Nov+1.26 · roster change27.2 wins
  • 7 Nov+0.02 · roster change27.3 wins

This is how the model has done in other years

Brooklyn would win about 27 games; the model gives it a margin of 17 to 38 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

Forecast

Game by game: what Forecast expects from each Brooklyn Nets game

Professional DNA

How the team behind that number actually plays

What if…?

What happened when its highest-impact player was missing
Technical detail

Uncertainty

Nominal 80% range: 17–38. Coverage of this forecasting procedure has not yet been validated.

Coverage of this forecasting procedure has not yet been validated.

  • worse: 17 · wins · Nominal 80% range
  • better: 38 · 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 Brooklyn Nets 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

Brooklyn Nets: 27.3 projected wins in 2026-27

27.3 winscompared against: 20 wins (+7.25 · +36 %) · Brooklyn Nets in 2025-26, real wins

What has changed since the first version

27.3 winscompared against: 28.5 wins (-1.24 · -4 %) · Brooklyn Nets, first version stored on 2026-08-14

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