UNI 0-1 EST · 48% COR 1-1 GRE · 44% FLA 2-0 ATL · 60% INS 1-0 DEP · 55% ABH 1-1 AL- · 41% VFL 1-2 FSV · 54% SGS 0-2 FCA · 61% HAM 1-2 EIN · 45% ROT 0-2 RBL · 62% SAS 0-2 LAZ · 62% CUA 0-2 GIR · 65% AIK 0-1 IFE · 48% CAL 1-0 EUR · 47% PIN 0-2 ELC · 58% UNI 0-1 EST · 48% COR 1-1 GRE · 44% FLA 2-0 ATL · 60% INS 1-0 DEP · 55% ABH 1-1 AL- · 41% VFL 1-2 FSV · 54% SGS 0-2 FCA · 61% HAM 1-2 EIN · 45% ROT 0-2 RBL · 62% SAS 0-2 LAZ · 62% CUA 0-2 GIR · 65% AIK 0-1 IFE · 48% CAL 1-0 EUR · 47% PIN 0-2 ELC · 58%
TuringStats
AI consensus
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NBA · Regular Season Nov 1, 2026 · 22:00 Gainbridge Fieldhouse, Indianapolis Not Started

Indiana Pacers
vs
Brooklyn Nets.

Quick answer

Who will win Indiana Pacers vs Brooklyn Nets?

1 of 1 AI models pick Indiana Pacers to win (0%).

Consensus of independent AI models on TuringStats, updated before tip-off. Not betting advice.

1 AI models read this game. The plurality on the winner leans toward Indiana Pacers (0 of 1 models). The mean predicted score (rounded from all models) is — at 0% mean confidence (Low band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

NBA standings Where Indiana Pacers and Brooklyn Nets stand right now
— Consensus

Where the panel lands.

Vote share across models. Read this strip first, then the line-by-line table.

Indiana Pacers win 0%

0 / 1 models

Brooklyn Nets win 0%

0 / 1 models

— Model breakdown

0 picks. Receipts attached.

Line-by-line comparison of each system’s call.

#
Model
Pick
Score
Conf.
Reasoning
— Scoreline frequency

How often each scoreline showed up.

Once models publish picks, we rank every predicted scoreline by how many systems chose it—useful for seeing whether the panel clusters or spreads.

  • No score frequency yet.

Standings, rest and form

Where both teams stand, how rested they are, who carries the scoring and how their last ten games went.

Star matchup · last 3 games
Tyrese Haliburton
Tyrese Haliburton
Indiana Pacers · G
22.3 PTS 22
3.8 REB 7
8 AST 6.3
29 MIN 32
Julius Randle
Julius Randle
Brooklyn Nets · F

Indiana Pacers

1-1 · #9 Eastern
Home 0-1 · Away 1-0 · Last ten 1-1 · Streak L1
2 days of rest · 4 games in 7 days

Brooklyn Nets

0-2 · #12 Eastern
Home 0-1 · Away 0-1 · Last ten 0-2 · Streak L2
2 days of rest · 3 games in 7 days
Full NBA standings & playoff race →

Did not play last game

Regulars missing from the latest box score: injury, rest or suspension. Check the status before tip-off.

  • MJ
    M. Brown Jr. Nets · G
    20 min · 7 pts a game before

Season averages per game

Indiana Pacers Brooklyn Nets
120.4 Points 118.6
49.9% Field goal % 46.2%
37.2% 3-point % 39.4%
74% Free throw % 73.5%
45.6 Rebounds 38.7
32.1 Assists 25.9
19.6 Turnovers 17
8 Steals 11.4
5.7 Blocks 2.9

Ratings and four factors

Per 100 possessions. Pace is possessions per game; defence uses points allowed over the last ten.

PacersNets
Offensive rating 110.1 111
Defensive rating 106 115.8
Net rating +4 -4.8
Pace 109.4 106.8
Effective FG % 57.8 55.3
Turnover % 17.9 15.9
Free throw rate 24.4 35.4
3-point attempt rate 42.2 45.9

Key players · Indiana Pacers

  • Tyrese Haliburton
    Tyrese HaliburtonG 22.3 pts · 3.8 reb · 8 ast
  • Pascal Siakam
    Pascal SiakamF 20 pts · 4.8 reb · 3.5 ast
  • Andrew Nembhard
    Andrew NembhardG 16 pts · 1.7 reb · 5.7 ast

Averages over the last 4 games.

Key players · Brooklyn Nets

  • Julius Randle
    Julius RandleF 22 pts · 7 reb · 6.3 ast
  • Michael Porter Jr.
    Michael Porter Jr.F 21.3 pts · 5.3 reb · 0.7 ast
  • DE
    Demin EgorG 9.7 pts · 2.7 reb · 3 ast

Averages over the last 3 games.

Last ten games

Indiana Pacers WLWL
Winning and losing margins, oldest to newest
Points scored / allowed
119 / 116
Total over 220.5
4/4
Total over 230.5
2/4
Scored 110+
3/4
Won by 6+
1/4
Brooklyn Nets LLL
Winning and losing margins, oldest to newest
Points scored / allowed
111 / 123.7
Total over 220.5
2/3
Total over 230.5
2/3
Scored 110+
1/3
Won by 6+
0/3

Player photos via Wikimedia Commons: Tyrese Haliburton by Chensiyuan (CC BY-SA 4.0), Pascal Siakam by Chensiyuan (CC BY-SA 4.0), Andrew Nembhard by Steve Cheng, Bruin Report Online (CC BY 2.0), Julius Randle by Keith Allison from Hanover, MD, USA (CC BY-SA 2.0), Michael Porter Jr. by All-Pro Reels (CC BY-SA 2.0).

Player props

Prop hit rates: Indiana Pacers vs Brooklyn Nets

Each line sits at the player's recent average. Bars show every game, green when he went over.

Tyrese Haliburton

Tyrese Haliburton

Indiana Pacers · G · last 4 games
Points o22.5 3/4 · 75% Ask AI
24
23
18
24
Assists o8.5 2/4 · 50% Ask AI
3
12
7
10
Pts + Reb + Ast o34.5 2/4 · 50% Ask AI
30
37
31
38
3-pointers made o2.5 2/4 · 50% Ask AI
4
2
0
4
Pascal Siakam

Pascal Siakam

Indiana Pacers · F · last 4 games
Points o20.5 3/4 · 75% Ask AI
6
30
23
21
Rebounds o4.5 2/4 · 50% Ask AI
1
8
3
7
Assists o3.5 2/4 · 50% Ask AI
4
1
3
6
Pts + Reb + Ast o28.5 3/4 · 75% Ask AI
11
39
29
34
3-pointers made o1.5 2/4 · 50% Ask AI
0
1
3
3
Andrew Nembhard

Andrew Nembhard

Indiana Pacers · G · last 3 games
Points o16.5 1/3 · 33% Ask AI
18
16
14
Assists o5.5 1/3 · 33% Ask AI
9
5
3
Pts + Reb + Ast o23.5 1/3 · 33% Ask AI
29
23
18
3-pointers made o1.5 1/3 · 33% Ask AI
0
1
4
Julius Randle

Julius Randle

Brooklyn Nets · F · last 3 games
Points o22.5 2/3 · 67% Ask AI
33
23
10
Rebounds o7.5 1/3 · 33% Ask AI
8
6
7
Assists o6.5 2/3 · 67% Ask AI
7
5
7
Pts + Reb + Ast o35.5 1/3 · 33% Ask AI
48
34
24
3-pointers made o1.5 2/3 · 67% Ask AI
3
2
0
Michael Porter Jr.

Michael Porter Jr.

Brooklyn Nets · F · last 3 games
Points o21.5 2/3 · 67% Ask AI
26
28
10
Rebounds o5.5 2/3 · 67% Ask AI
7
9
0
Pts + Reb + Ast o27.5 2/3 · 67% Ask AI
34
38
10
3-pointers made o3.5 2/3 · 67% Ask AI
5
4
0
DE

Demin Egor

Brooklyn Nets · G · last 3 games
Points o9.5 1/3 · 33% Ask AI
4
22
3
Assists o3.5 1/3 · 33% Ask AI
2
6
1
Pts + Reb + Ast o15.5 1/3 · 33% Ask AI
10
32
4
3-pointers made o2.5 1/3 · 33% Ask AI
0
5
1

From box scores of each team's recent games. Lines are our reference points, not sportsbook prices.

Indiana Pacers vs Brooklyn Nets: quick answers

Who are the key players in Indiana Pacers vs Brooklyn Nets?
Leading scorers over the last 3 games. Indiana Pacers: Tyrese Haliburton (22.3 pts, 3.8 reb, 8 ast), Pascal Siakam (20 pts, 4.8 reb, 3.5 ast). Brooklyn Nets: Julius Randle (22 pts, 7 reb, 6.3 ast), Michael Porter Jr. (21.3 pts, 5.3 reb, 0.7 ast).
Is Indiana Pacers or Brooklyn Nets on a back-to-back?
Indiana Pacers have had 2 days of rest; Brooklyn Nets have had 2 days of rest.
— Aggregated insights

What’s moving the panel.

01
Consensus favors Indiana Pacers

0% of models lean home — the clearest cluster on this fixture before tip-off.

02
Low confidence

Mean 0% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 0.00 vs 0.00

Derived from predicted scorelines (model means), not live game data — useful for pace vs vote-share sanity checks.

04
Match context

Rest, recent form and home advantage usually decide whether the favourite wins comfortably or the game stays close; check both teams below.

Ask the Council about this match

Pro

10 AI models vote yes or no with this match's last-5 form, head-to-head, live status and the model picks above attached — not from memory. Then keep asking the same council follow-ups.

Ask with match data Ask without data (free)

Confidence trend

Cumulative average confidence in table order.

Not enough points to plot a trend.

Match overview

Looking for a today prediction on Indiana Pacers vs Brooklyn Nets in NBA? TuringStats aggregates multiple AI scorelines into one readable page so you can see who the models favor, the mean predicted score shown in the hero (—; the frequency chart below lists the most common exact scorelines), and implied splits before tip-off.

This prediction hub is written for readers comparing betting tips-style language with transparent model votes — not a single black-box call. The headline read is , with vote shares roughly 0% / 0% home and away (rounded).

If you are asking who will win Indiana Pacers vs Brooklyn Nets, start with the consensus strip and model table, then cross-check form and injuries in Match context further down — that order keeps the strongest signals first.

Explore more

Keep browsing today prediction coverage and league hubs.

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