Pregame
Back to the slate

Wed 28 Oct, 14:00 Sydney

Portland Trail Blazers at Los Angeles Lakers

Slight favourite: Los Angeles Lakers. Logistic regression is the primary probability because it had the best holdout log loss. The largest contributions toward Los Angeles Lakers are Defensive-rating gap and Shooting gap. Other rating features can point the other way when this one already carries the same information.

37%
63%

Model agreement

Three separate probabilities. There is no combined model. Home win chance:

Logistic regression · primary

63%

POR 37%

Gradient boosting

62%

POR 38%

Elo

64%

POR 36%

What the logistic model is using

Each number is that feature’s push, in log-odds, after scaling. The model starts from a baseline home log-odds of +0.30. Positive pushes favor Los Angeles Lakers. This is not an estimate of what would happen if one statistic changed.

Toward LAL

  • Defensive-rating gap+0.22

    season points allowed per 100 possessions, home minus away

  • Shooting gap+0.19

    effective field-goal percentage, home minus away

  • Net-rating gap+0.17

    season net rating, home minus away

  • Home key absences+0.16

    home players with 20+ expected minutes projected out

  • Forced-turnover gap+0.16

    opponent turnovers per possession, home minus away

Toward POR

  • Defensive-rebounding gap-0.22

    defensive rebound rate, home minus away

  • Opponent-shooting gap-0.20

    effective field-goal percentage allowed, home minus away

  • Rotation-impact gap-0.15

    impact of the players projected to play, home minus away

LAL offence against POR defence

Season-to-date rates. The last row pairs the offence’s offensive rebound rate with the defence’s own defensive rebound rate.

MetricLAL offencePOR defence
Points per 100126.4101.4
Effective FG63.8%45.1%
Turnover rate16.1%15.0%
Offensive boards / defensive boards23.0%75.8%

POR offence against LAL defence

Season-to-date rates. The last row pairs the offence’s offensive rebound rate with the defence’s own defensive rebound rate.

MetricPOR offenceLAL defence
Points per 100125.9113.6
Effective FG56.6%52.6%
Turnover rate13.5%19.4%
Offensive boards / defensive boards33.3%65.7%

Pace and schedule

Season pace describes how many possessions a team usually plays. The average below is only that description. It is not added on top of the win probability, and it is not a predicted score.

POR pace

100.1

LAL pace

101.2

Average of the two

100.7

POR

Rest days 3

Not a back-to-back

Games in the last 7 days 2

Last 10 net rating +24.5

Free throws per shot 0.20

LAL

Rest days 1

Not a back-to-back

Games in the last 7 days 3

Last 10 net rating +12.8

Free throws per shot 0.31

Projected rotation

Injury report 27 October 2026, 7:00 AM ET. Players ruled out are removed from the win probability. Questionable and doubtful players stay on the last-game assumption and are listed with that status. Last games used are 2026-10-23 and 2026-10-25.

Portland Trail Blazers

Last played 2026-10-23 · 1 key players projected out

PlayerLast minExpectedImpactStatus
Deni Avdija3834+1.4—
Damian Lillard3333+5.2—
Toumani Camara2733+2.0—
Ja Morant2727+4.8—
Sidy Cissoko2612-2.1—
Jrue Holiday · fewer minutes2631+4.5—
Donovan Clingan · fewer minutes2126+1.3—
Scoot Henderson · fewer minutes2127+0.2Questionable
Robert Williams III · fewer minutes1818+4.4—
Vít Krejčí · fewer minutes316-2.8—
Branden Carlson———Questionable
Jayson Kent · ruled out———Out
Shaedon Sharpe · ruled out———Out
John Tonje · ruled out———Out
Chris Youngblood · ruled out———Out

Los Angeles Lakers

Last played 2026-10-25 · 0 key players projected out

PlayerLast minExpectedImpactStatus
Luka Dončić3836+8.1—
Austin Reaves3636+5.9—
Ziaire Williams3025-3.5—
Walker Kessler2830-1.5Available
Matisse Thybulle2623+5.0—
Sandro Mamukelashvili · fewer minutes2123+2.2—
Quentin Grimes · fewer minutes2024-4.2—
Collin Sexton · fewer minutes2027-4.3—
Jake LaRavia · fewer minutes1528-3.4—
Kevon Looney · fewer minutes514+0.2—
Cameron Carr · ruled out———Out
Adou Thiero · ruled out———Out