Los Angeles Clippers vs Toronto Raptors Prediction

NBA 2026-2027 · 2026-11-02

Los Angeles Clippers

Home Team
21.3%
VS

Toronto Raptors

Away Team
78.7%
2026-2027 Season

Why the Model Favors Toronto Raptors

The factors that drove this prediction, measured in win-probability points.

Starting five +27.4 Toronto Raptors
Home-court advantage +7.6 Los Angeles Clippers
Season record & ratings +5.8 Toronto Raptors
Recent team form +5.4 Toronto Raptors
Home/road record +0.9 Toronto Raptors

Starting from an even matchup, these factors move the model to 79% for Toronto Raptors. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Projections

AI-powered statistical projections for tonight's starters. Click a player to view their full probability distributions.

HOME Los Angeles Clippers
PTS 21.6 REB 2.8 AST 5.9 3PM 2.6
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 11.6 REB 5.4 AST 1.7 3PM 2.0
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
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Cumulative Probability: P(Assists > X)
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Cumulative Probability: P(3-Pointers Made > X)
PTS 9.0 REB 7.1 AST 2.5 3PM 0.0
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 9.9 REB 5.0 AST 4.7 3PM 1.4
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 15.8 REB 5.8 AST 1.6 3PM 2.3
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
AWAY Toronto Raptors
PTS 7.1 REB 6.9 AST 1.5 3PM 0.0
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 16.6 REB 4.4 AST 4.8 3PM 2.4
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 12.2 REB 5.1 AST 2.3 3PM 2.2
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 19.1 REB 7.0 AST 3.8 3PM 1.5
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 24.0 REB 7.9 AST 4.7 3PM 1.1
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)

Starting Five Matchup

PG
Darius Garland
OR
99.7
DR
121.5
PTS
20.8
VS
Jakob Poeltl
OR
92.0
DR
106.4
PTS
4.6
SG
Derrick Jones Jr.
OR
129.3
DR
116.5
PTS
11.5
VS
Immanuel Quickley
OR
125.2
DR
113.5
PTS
16.5
SF
Isaiah Jackson
OR
107.7
DR
108.8
PTS
8.0
VS
Ja'Kobe Walter
OR
136.3
DR
108.5
PTS
12.2
PF
Kris Dunn
OR
123.8
DR
109.5
PTS
8.5
VS
RJ Barrett
OR
116.3
DR
112.8
PTS
19.8
C
Rui Hachimura
OR
85.0
DR
117.4
PTS
13.4
VS
Scottie Barnes
OR
99.2
DR
106.7
PTS
24.8
OR = Offensive Rating · DR = Defensive Rating (lower is better) · PTS = Avg Points Per Game

Key Prediction Insights

Toronto is the model’s clear choice, with a 79 percent chance to win. The expected starters are Darius Garland, Derrick Jones Jr., Isaiah Jackson, Kris Dunn and Rui Hachimura for the Clippers, and Jakob Poeltl, Immanuel Quickley, Ja'Kobe Walter, RJ Barrett and Scottie Barnes for Toronto.

Total Points and Spread Analysis

The projected total is 230 points, with Toronto favored by about one. That points to a close game with a fairly high scoring total, rather than a comfortable win for either side.

🏀 Total Points Predictions

🏀
Expected Total Points in Game 229.6 Most likely outcome: 229 points
📊 Total Points Probability Distribution
Distribution

Probability of each total points outcome

Probability distribution bar chart for total combined points in the Los Angeles Clippers versus Toronto Raptors NBA game. The X-axis shows possible total points values, and the Y-axis shows the predicted probability percentage for each outcome.
Cumulative Probability (CDF)

Probability of total points ≤ X

Cumulative distribution function (CDF) chart for total points in Los Angeles Clippers versus Toronto Raptors. The curve rises from 0% to 100%, showing the cumulative probability that the game total will be at or below each points threshold.

📈 Spread Predictions

📈
Expected Spread (Los Angeles Clippers - Toronto Raptors) -1.0 Most likely outcome: -1 points
📊 Spread Probability Distribution
Distribution

Probability of each spread outcome

Probability distribution bar chart for the point spread (home minus away) in the Los Angeles Clippers versus Toronto Raptors NBA game. Positive values indicate a home team lead, negative values an away team lead.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function (CDF) chart for the point spread in Los Angeles Clippers versus Toronto Raptors. The curve rises from 0% to 100%, showing the cumulative probability for each spread threshold.

ELO Rating Trends

ELO rating progression chart for Los Angeles Clippers (orange) and Toronto Raptors (blue) over their most recent games. The Y-axis shows each team's ELO rating and the X-axis shows game dates. Higher values indicate stronger performance.

Both teams’ ratings are falling over the last five games, with a sharper decline for the Clippers than for Toronto.

Los Angeles Clippers

1462.1 -39.3 over 5 games
Date Opponent ELO Change
2026-11-01 Golden State Warriors 1462.1 -8.8
2026-10-30 Minnesota Timberwolves 1470.9 -10.2
2026-10-28 Los Angeles Lakers 1481.1 -11.6
2026-10-25 Oklahoma City Thunder 1492.7 -8.7
2026-10-23 Los Angeles Lakers 1501.4 -

Toronto Raptors

1502.7 -21.5 over 5 games
Date Opponent ELO Change
2026-11-01 Los Angeles Lakers 1502.7 -9.2
2026-10-30 Orlando Magic 1511.9 -11.9
2026-10-28 Orlando Magic 1523.8 +10.9
2026-10-25 Minnesota Timberwolves 1512.9 -11.3
2026-10-23 Washington Wizards 1524.2 -

NBA ELO Power Rankings

Curious how these teams stack up league-wide? Check the full ELO standings, progression charts, and conference breakdowns.

View Full ELO Standings

Recent Form: Last 5 Games

Los Angeles Clippers

0-5 in last 5
L L L L L
Opponent PF PA Diff
Golden State Warriors 112 124 -12
Minnesota Timberwolves 101 127 -26
Los Angeles Lakers 87 103 -16
Oklahoma City Thunder 101 108 -7
Los Angeles Lakers 117 125 -8

Toronto Raptors

2-3 in last 5
L L W L W
Opponent PF PA Diff
Los Angeles Lakers 125 131 -6
Orlando Magic 114 121 -7
Orlando Magic 129 99 +30
Minnesota Timberwolves 94 117 -23
Washington Wizards 112 102 +10

Game Analysis

Toronto’s starting group is the clearest separation in the forecast. Barnes leads the Raptors’ projected scorers at 25 points per game, and Quickley and Barrett add scoring options around him. Garland is the Clippers’ top projected scorer at 21, but the rest of their expected starters offer less scoring support. Home court does help the Clippers, but recent form gives Toronto a stronger case: the Raptors have dropped two straight, while the Clippers have lost three in a row and their power rating has slid more sharply. Toronto’s recent losses were competitive, while the Clippers’ last two defeats came by double digits.

Final Prediction

Garland’s scoring is the most direct way for the Clippers to upset the forecast. If he can keep pace with Toronto’s leading scorers, home court could make the narrow projected margin matter.

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