Team Profile

DAL

Dallas Wings

2026-27League rank #4

16-8 so far with a +5.4 net rating. The profile below tracks how Dallas Wings wins games, where the shot diet bends, and which parts of the roster are carrying the heaviest load.

ORtg 111.3DRtg 105.9Pace 80.4Proj 28.8W

Record

16-8

Win Rate

.667

Net

+5.4

Pace

80.4

Last 10

7-3

Playoff Odds

100%

Recent Form

7-3

Ball Security

Season

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Season

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Net Rating#4

+5.4

Off Rating#3

111.3

Def Rating#7

105.9

Pace#9

80.4

TS%#8

55.7

eFG%#5

52.2

TOV%#1

14.2

Dallas Wings · 2026-27

Projected Wins

Projected finish range based on the remaining schedule and team strength.

20 games left

Proj Wins

28.8

P10-P90

26.2–31.2

Playoff Odds

100%

Mean Seed

3.3

Net Rating Trend

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

Best +10.8Worst +2.9

Pythagorean Record

ORtg¹⁴ ÷ (ORtg¹⁴ + DRtg¹⁴)

Actual

16-8

Expected

16-8

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 36.9%33.8%

Paint Share

Lg 51.7%48.5%

Mid-Range

Lg 11.5%17.7%

Free Throw Rate

Lg 31.8%24.3%

Pace

#9 · Above avg80.4

Team DNA

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

hover axis for detail · dashed = league avg

DALLeague Avg

Four Factors

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

vertical tick = league avg

Offense

eFG%

51.052.2

TOV%

17.614.2

ORB%

30.830.2

FTr

31.424.3

Defense

eFG%

51.052.2

TOV%

17.616.9

ORB%

30.827.1

FTr

31.429.0

Roster Construction

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

Minutes Distribution

Bueckers15%Shepard14%Fudd14%Ogunbowale13%James5%Siegrist6%Kuier7%Sims6%

Production Breakdown

Points100.0/gm

Rebounds37.1/gm

Assists26.3/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	+3.0
Mid (6-12 pts)	6	4-2	.667	+9.3
Blowout (13+ pts)	10	7-3	.700	+18.8
Overall	24	16-8	.667	+11.2

Clutch differential: -4.2% vs overall W% · Performs similarly in close games and overall

Identity Signals

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

Shot Identity

Paint-first offense

Weighted zone accuracy edge: +2.6 percentage points versus league averages.

3PT share

33.8%

Paint share

48.5%

Mid-range

17.7%

Context Splits

Meaningful home edge

Net rating trend from first to latest month: +5.2.

Home NET

+11.6

Away NET

+1.0

Close-game edge

-4.2%

Matchup Map

Recurring opponents only

Best recurring matchup: Toronto Tempo (2-0). Toughest: Minnesota Lynx (0-3).

Best

TOR +13.0

Worst

MIN -12.0

Opponents

Rotation Shape

Distributed rotation

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

Top 3 minutes

42.6%

Top 2 scoring

35.7%

Top 2 assists

43.7%

Projected Wins Distribution

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

Simulation range

Median Wins

29.240000000000002

10th-90th

26.240000000000002–31.240000000000002

Playoff %

100%

Mean Seed

3.3

Projected finish range based on the remaining schedule and team strength.

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.