KRI 1-2 VAL · 51% PLY 2-1 BER · 51% JUN 2-1 CUC · 53% ANA 0-2 ALA · 60% PAM 0-2 EIB · 58% AMO 1-0 UDL · 48% MIJ 0-1 REA · 50% TRI 0-2 LEG · 61% TAV 0-2 VAL · 65% TüR 0-2 BEL · 57% ARM 0-1 CYP · 44% CAL 0-2 ALB · 59% TAR 0-2 LEV · 63% NAV 0-2 REA · 64% KRI 1-2 VAL · 51% PLY 2-1 BER · 51% JUN 2-1 CUC · 53% ANA 0-2 ALA · 60% PAM 0-2 EIB · 58% AMO 1-0 UDL · 48% MIJ 0-1 REA · 50% TRI 0-2 LEG · 61% TAV 0-2 VAL · 65% TüR 0-2 BEL · 57% ARM 0-1 CYP · 44% CAL 0-2 ALB · 59% TAR 0-2 LEV · 63% NAV 0-2 REA · 64%
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NBA · Regular Season Rocket Arena, Cleveland Finished

Cleveland Cavaliers
vs
New York Knicks.

Quick answer

Who will win Cleveland Cavaliers vs New York Knicks?

Final score: Cleveland Cavaliers 97–109 New York Knicks. Before kickoff, 7 of 10 AI models pick Cleveland Cavaliers to win (70%); the consensus was wrong. The AI predicted score was 112–105.

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

10 AI models read this game. The plurality on the winner leans toward Cleveland Cavaliers (7 of 10 models). The mean predicted score (rounded from all models) is 112–105 at 58% mean confidence (Medium band) — see the strip and table below.

Who do you think will win?

Vote before kick-off and compare with AI

NBA standings Where Cleveland Cavaliers and New York Knicks stand right now
— Consensus

Where the panel lands.

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

Cleveland Cavaliers win 70%

7 / 10 models

New York Knicks win 30%

3 / 10 models

— Model breakdown

10 picks. Receipts attached.

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

#
Model
Pick
Score
Conf.
Reasoning
01
GPT-6 Luna
Cleveland Cavaliers win
109–103
58%
Cleveland’s stronger scoring profile and home court outweigh the second-night back-to-back penalty. New York has had three days’ rest and a better defense, but its 0-2 start and 27.9% three-point shooting limit its offensive outlook.
02
Claude Sonnet 5.5
Cleveland Cavaliers win
115–107
56%
Cleveland's offense and Mitchell's hot scoring outweigh back-to-back fatigue against a slumping Knicks team with weak shooting efficiency and a 2-game losing streak.
03
Gemini 3.8 Flash
New York Knicks win
107–111
56%
The Knicks hold a significant rest advantage with three days off against Cleveland playing on a back-to-back. New York's rebounding and defensive edge should exploit fatigue down the stretch.
04
Grok 4.7
Cleveland Cavaliers win
112–105
58%
Cavs' stronger early offense and home venue outweigh a back-to-back; Knicks' 0-2 form and poor shooting keep the margin modest despite recent H2H.
05
DeepSeek V4 Pro
Cleveland Cavaliers win
116–108
62%
Cleveland's offense is sharper and they're at home, but a back-to-back limits margin; Knicks' 3-point shooting has been poor.
06
Qwen 3.8 Max
Cleveland Cavaliers win
112–105
55%
Cleveland's superior offensive talent edges out Knicks' rest advantage; New York's 27.9% 3P shooting and 0-2 start signal a slump, but the back-to-back keeps this close.
07
Meta Muse Spark 1.3
New York Knicks win
108–113
57%
Knicks swept last four meetings and arrive rested 3 days while Cavaliers on second night back-to-back; superior defense should control pace at Rocket Arena.
08
Kimi K3
Cleveland Cavaliers win
114–108
58%
Cleveland's superior offense (117.7 ppg) and home court outweigh back-to-back fatigue against a Knicks team struggling at 0-2 with poor shooting (41.9% FG). Mitchell's scoring form gives the Cavs the edge despite H2H history.
09
GLM 5.3
New York Knicks win
108–112
53%
Knicks won 4 of the last 5 meetings and have 3 days' rest versus Cleveland's back-to-back second night, which costs a few points; Mitchell's form keeps it close but New York's defense edges it.
10
MiMo V2.6 Pro
Cleveland Cavaliers win
116–105
62%
Mitchell's 26.7 ppg form and Cleveland's 119.3 recent scoring outweigh the back-to-back drag versus a Knicks team shooting 27.9% from three and on a 0-2 skid.
— Scoreline frequency

How often each scoreline showed up.

2 of 7 models settled on 112–105. The rest of the list shows where dissent still lives before tip-off.

  • 112–105
    2 models
  • 108–113
    1 model
  • 109–103
    1 model
  • 115–107
    1 model
  • 116–108
    1 model
  • 116–105
    1 model

Live game centre

Final
Cleveland Cavaliers
97–109
New York Knicks
Q1Q2Q3Q4 T
Cleveland Cavaliers 27261727 97
New York Knicks 26372521 109
27
26
Q1
26
37
Q2
17
25
Q3
27
21
Q4
Pro

Live team stats, the box score and every lead change, minute by minute.

Unlock with Pro in the app

Standings, rest and form

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

AI spread
Cavaliers −7
AI total
217
Models picking
70%

From the mean predicted score of every model. Compare with your sportsbook's line.

Star matchup · last 5 games
Donovan Mitchell
Donovan Mitchell
Cleveland Cavaliers · G
20.8 PTS 27.4
4.4 REB 2.2
6.2 AST 6
32 MIN 34
Jalen Brunson
Jalen Brunson
New York Knicks · G

Cleveland Cavaliers

5-5 · #7 Eastern
Home 4-2 · Away 1-3 · Last ten 5-5 · Streak L1
Back-to-back: played last night · 3 games in 7 days

New York Knicks

5-4 · #5 Eastern
Home 3-2 · Away 2-2 · Last ten 5-4 · Streak W3
3 days of rest · 2 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.

  • Jarrett Allen
    Jarrett Allen Cavaliers · C
    27 min · 17.7 pts a game before
  • Josh Hart
    Josh Hart Knicks · G
    30 min · 5.8 pts a game before

Season averages per game

Cleveland Cavaliers New York Knicks
116.8 Points 108.5
46% Field goal % 42.8%
36.1% 3-point % 32.3%
75.9% Free throw % 76.8%
46.3 Rebounds 45.9
26.7 Assists 26.4
14 Turnovers 15.6
7.8 Steals 7.5
5.6 Blocks 4.6

Ratings and four factors

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

CavaliersKnicks
Offensive rating 112.1 106.8
Defensive rating 110.1 103.4
Net rating +2 +3.3
Pace 104.2 101.6
Effective FG % 54.2 50
Turnover % 13.4 15.4
Free throw rate 28.4 28.8
3-point attempt rate 45.5 44.9

Key players · Cleveland Cavaliers

  • Donovan Mitchell
    Donovan MitchellG 20.8 pts · 4.4 reb · 6.2 ast
  • Evan Mobley
    Evan MobleyC 18.4 pts · 6.4 reb · 4.2 ast
  • James Harden
    James HardenG 17.4 pts · 6 reb · 5.2 ast

Averages over the last 5 games.

Key players · New York Knicks

  • Jalen Brunson
    Jalen BrunsonG 27.4 pts · 2.2 reb · 6 ast
  • Karl-Anthony Towns
    Karl-Anthony TownsC 19.2 pts · 14.6 reb · 3.4 ast
  • OA
    O.G. AnunobyF 16.2 pts · 5.2 reb · 2 ast

Averages over the last 5 games.

Last ten games

Cleveland Cavaliers WLLWLWWWL
Winning and losing margins, oldest to newest
Points scored / allowed
119.2 / 114.7
Total over 220.5
7/9
Total over 230.5
5/9
Scored 110+
8/9
Won by 6+
3/9
New York Knicks WWLWWLLL
Winning and losing margins, oldest to newest
Points scored / allowed
110 / 105.1
Total over 220.5
2/8
Total over 230.5
2/8
Scored 110+
3/8
Won by 6+
4/8

Player photos via Wikimedia Commons: Donovan Mitchell by Erik Drost (CC BY 2.0), Evan Mobley by Erik Drost (CC BY 2.0), James Harden by Erik Drost (CC BY 2.0), Jalen Brunson by Erik Drost (CC BY 2.0), Karl-Anthony Towns by Erik Drost (CC BY 2.0), Jarrett Allen by Erik Drost (CC BY 2.0), Josh Hart by Erik Drost (CC BY 2.0).

Player props

Prop hit rates: Cleveland Cavaliers vs New York Knicks

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

Donovan Mitchell

Donovan Mitchell

Cleveland Cavaliers · G · last 9 games
Points o22.5 4/9 · 44% Ask AI
32
22
26
19
22
15
17
27
23
Rebounds o5.5 2/9 · 22% Ask AI
10
5
5
5
3
4
5
3
7
Assists o5.5 5/9 · 56% Ask AI
3
4
7
7
3
3
11
6
8
Pts + Reb + Ast o33.5 4/9 · 44% Ask AI
45
31
38
31
28
22
33
36
38
3-pointers made o2.5 3/9 · 33% Ask AI
2
2
5
2
1
2
4
5
1
Evan Mobley

Evan Mobley

Cleveland Cavaliers · C · last 9 games
Points o19.5 4/9 · 44% Ask AI
18
20
18
24
11
27
16
16
22
Rebounds o8.5 4/9 · 44% Ask AI
8
10
10
12
4
5
7
10
6
Assists o3.5 4/9 · 44% Ask AI
2
4
3
2
7
3
4
3
4
Pts + Reb + Ast o30.5 5/9 · 56% Ask AI
28
34
31
38
22
35
27
29
32
3-pointers made o2.5 4/9 · 44% Ask AI
1
2
4
5
0
3
1
1
3
James Harden

James Harden

Cleveland Cavaliers · G · last 9 games
Points o16.5 4/9 · 44% Ask AI
16
12
19
16
24
13
14
19
17
Rebounds o5.5 4/9 · 44% Ask AI
3
8
5
2
5
6
4
9
6
Assists o5.5 6/9 · 67% Ask AI
5
7
9
6
4
7
6
6
3
Pts + Reb + Ast o27.5 3/9 · 33% Ask AI
24
27
33
24
33
26
24
34
26
3-pointers made o2.5 7/9 · 78% Ask AI
3
1
3
2
3
3
3
3
3
Jalen Brunson

Jalen Brunson

New York Knicks · G · last 8 games
Points o25.5 3/8 · 38% Ask AI
21
19
28
23
38
24
19
33
Assists o5.5 4/8 · 50% Ask AI
3
4
4
7
7
6
6
4
Pts + Reb + Ast o33.5 4/8 · 50% Ask AI
29
25
35
31
46
35
27
39
3-pointers made o2.5 4/8 · 50% Ask AI
1
2
1
0
6
3
4
5
Karl-Anthony Towns

Karl-Anthony Towns

New York Knicks · C · last 8 games
Points o19.5 4/8 · 50% Ask AI
19
22
22
27
19
22
11
17
Rebounds o13.5 3/8 · 38% Ask AI
12
10
14
20
13
12
16
12
Assists o3.5 3/8 · 38% Ask AI
1
3
4
3
5
3
5
1
Pts + Reb + Ast o36.5 4/8 · 50% Ask AI
32
35
40
50
37
37
32
30
3-pointers made o1.5 5/8 · 63% Ask AI
3
2
0
1
3
3
1
2
OA

O.G. Anunoby

New York Knicks · F · last 8 games
Points o16.5 5/8 · 63% Ask AI
10
20
22
13
23
9
18
18
Rebounds o5.5 3/8 · 38% Ask AI
5
10
3
7
6
4
4
5
Pts + Reb + Ast o24.5 4/8 · 50% Ask AI
15
38
27
22
30
16
24
25
3-pointers made o1.5 4/8 · 50% Ask AI
1
2
3
1
2
1
3
1

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

Cleveland Cavaliers vs New York Knicks: quick answers

What is the predicted total for Cleveland Cavaliers vs New York Knicks?
The AI models' mean predicted score is Cleveland Cavaliers 112, New York Knicks 105: a projected total of 217 points. Cleveland Cavaliers games went over 220.5 in 7 of the last 9; New York Knicks games went over 220.5 in 2 of the last 8.
What is the AI spread pick for Cleveland Cavaliers vs New York Knicks?
The consensus has Cleveland Cavaliers winning by 7 points (112–105), from the mean of every model's predicted score.
Who are the key players in Cleveland Cavaliers vs New York Knicks?
Leading scorers over the last 5 games. Cleveland Cavaliers: Donovan Mitchell (20.8 pts, 4.4 reb, 6.2 ast), Evan Mobley (18.4 pts, 6.4 reb, 4.2 ast). New York Knicks: Jalen Brunson (27.4 pts, 2.2 reb, 6 ast), Karl-Anthony Towns (19.2 pts, 14.6 reb, 3.4 ast).
Is Cleveland Cavaliers or New York Knicks on a back-to-back?
Cleveland Cavaliers are on the second night of a back-to-back; New York Knicks have had 3 days of rest.
— Aggregated insights

What’s moving the panel.

01
Consensus favors Cleveland Cavaliers

70% of models lean home — the clearest cluster on this fixture before tip-off.

02
Medium confidence

Mean 58% across the panel with real dispersion — compare unanimous calls vs split tickets in the model table.

03
Expected points tilt 111.70 vs 107.70

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.

First model Last model

Match overview

Looking for a today prediction on Cleveland Cavaliers vs New York Knicks 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 (112 - 105; 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 Cleveland Cavaliers win, with vote shares roughly 70% / 30% home and away (rounded).

If you are asking who will win Cleveland Cavaliers vs New York Knicks, 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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— Journal

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