NBA (National Basketball Association) · Thursday, 22 October, MSK

New Orleans Pelicans — Indiana Pacers

☆ Save match

Model prediction for 22 October

New Orleans Pelicans49%
Indiana Pacers51%
Model estimate at MSK

Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.

In short

Evenly matched: New Orleans Pelicans 49%, Indiana Pacers 51%.

The model expects a score around 118:118 — 236 points in total.

Over 235.5 points (incl. overtime) — 51%.

Why

  • Pace: New Orleans Pelicans 103.8, Indiana Pacers 102.7 possessions per 48 minutes.

Probabilities

Expected points (incl. overtime): New Orleans Pelicans — Indiana Pacers118.0–118.3
Total over 235.5 (incl. OT)51%
Total under 235.5 (incl. OT)49%

223 more model lines in Premium

All totals and handicaps, team totals, the regulation 1X2, who may miss the game, every factor and how the estimate moved before kick-off.

  • All handicaps
  • All totals
  • New Orleans Pelicans points
  • Indiana Pacers points
  • Regulation 1X2
  • Who may miss the game
Get Premiumfrom $5.99 a month

Form

New Orleans Pelicans

  • 13.04away · Minnesota Timberwolves126:132
  • 11.04away · Boston Celtics118:144
  • 08.04Utah Jazz156:137
  • 06.04Orlando Magic108:112
  • 04.04away · Sacramento Kings113:117

Indiana Pacers

  • 13.04Detroit Pistons121:133
  • 11.04Philadelphia 76ers94:105
  • 10.04away · Brooklyn Nets123:94
  • 08.04Minnesota Timberwolves104:124
  • 06.04away · Cleveland Cavaliers108:117

Head to head

  • 17.01.2026Indiana Pacers — New Orleans Pelicans127:119
  • 21.12.2025New Orleans Pelicans — Indiana Pacers128:109
  • 16.12.2024Indiana Pacers — New Orleans Pelicans119:104
  • 26.11.2024Indiana Pacers — New Orleans Pelicans114:110
  • 02.11.2024New Orleans Pelicans — Indiana Pacers125:118

Full record: 15 meetings →

NBA on the same day

This is the model’s statistical estimate, not a recommendation. An outcome at 51% will not happen in roughly 49 matches out of 100. How to read probabilities →