Team Profile

LVA

Las Vegas Aces

2026-27League rank #5

31-13 so far with a +6.8 net rating. The profile below tracks how Las Vegas Aces wins games, where the shot diet bends, and which parts of the roster are carrying the heaviest load.

ORtg 112.4DRtg 105.6Pace 79.6Proj 31.0W

Record

31-13

Win Rate

.705

Net

+6.8

Pace

79.6

Last 10

8-2

Playoff Odds

100%

Recent Form

8-2

Elite OffenseEfficient ShootersBall Security

Season

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Season

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Net Rating#4

+6.8

Off Rating#2

112.4

Def Rating#5

105.6

Pace#14

79.6

TS%#2

59.3

eFG%#2

55.0

TOV%#3

15.2

Las Vegas Aces · 2026-27

Projected Wins

Season-complete snapshot from the projected wins model.

No games remaining

Proj Wins

31.0

P10-P90

31.0–31.0

Playoff Odds

100%

Mean Seed

3.0

Net Rating Trend

Month-to-month swings show whether the team is stabilizing, slipping, or peaking late.

Best +25.8Worst +2.5

Pythagorean Record

ORtg¹⁴ ÷ (ORtg¹⁴ + DRtg¹⁴)

Actual

31-13

Expected

31-13

0 vs expected · Performing in line with point differential

Scoring Style

Shot location and free-throw pressure compared with a league-average offense.

3PT Share

Lg 37.2%35%

Paint Share

Lg 51.3%48%

Mid-Range

Lg 11.4%16.9%

Free Throw Rate

Lg 30.7%29.5%

Pace

#14 · Average79.6

Team DNA

A quick shape of where this team leans relative to the rest of the league.

hover axis for detail · dashed = league avg

LVALeague Avg

Four Factors

The possession battle: shooting, turnovers, rebounding, and free throws.

vertical tick = league avg

Offense

eFG%

51.555.0

TOV%

17.115.2

ORB%

30.426.5

FTr

30.329.5

Defense

eFG%

51.550.5

TOV%

17.117.1

ORB%

30.430.0

FTr

30.327.5

Roster Construction

How production is distributed across the rotation in minutes, scoring, rebounds, and assists.

Minutes Distribution

Wilson12%Young12%Carter6%Gray12%Smith9%Loyd10%Brown2%Parker-Tyus4%

Production Breakdown

Points123.5/gm

Rebounds42.8/gm

Assists27.4/gm

Clutch Performance

Close-game results only, meant to show how this team finishes when the margin stays tight.

Situation	GP	W-L	W%	Avg Margin
Close (≤5 pts)	8	5-3	.625	+2.9
Mid (6-12 pts)	16	12-4	.750	+9.0
Blowout (13+ pts)	20	14-6	.700	+25.2
Overall	44	31-13	.705	+15.3

Clutch differential: -8.0% vs overall W% · Struggles to close — underperforms in tight games

Identity Signals

shot mix, rotation usage, matchup patterns, and game-level context

Shot Identity

Paint-first offense

Weighted zone accuracy edge: +5.5 percentage points versus league averages.

3PT share

35.0%

Paint share

48.0%

Mid-range

16.9%

Context Splits

Road edge

Net rating trend from first to latest month: +22.0.

Home NET

+5.4

Away NET

+8.3

Close-game edge

-8.0%

Matchup Map

Recurring opponents only

Best recurring matchup: Seattle Storm (3-0). Toughest: Indiana Fever (1-2).

Best

SEA +22.7

Worst

IND -16.0

Opponents

Rotation Shape

Distributed rotation

Concentration numbers are computed directly from season-to-date player rates on the current roster view.

Top 3 minutes

30.4%

Top 2 scoring

36.5%

Top 2 assists

36.5%

Projected Wins Distribution

Model range for the final record when projection data exists for this season.

Simulation range

Median Wins

10th-90th

31–31

Playoff %

100%

Mean Seed

3.0

Season complete. Projection collapses to the final record and playoff result.

Reference

Team Page Stat Guide

These are the terms that show up most often on the team overview, split tables, projection cards, and shot chart.

ORtg / DRtg / NET

Estimated points scored, allowed, and the difference per 100 possessions.

TS%

True shooting percentage. Includes the efficiency value of free throws and threes.

eFG%

Effective field goal percentage. Rewards three-point makes more than two-point makes.

TOV%

Turnover percentage. Lower is better on offense; higher is better when forced on defense.

Pythagorean Record

Expected record from scoring margin rather than actual close-game results.

Playoff Odds

Model-estimated chance of finishing in the top eight and reaching the playoffs.

Showing the six most common terms. Open the full guide when you need the deeper model vocabulary.