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NBA player comparison

Adrian Dantley vs. Dominique Wilkins: 1986–87 season

hussEyquation1986–87 season · regular-season impact
Regular-season verdict

Dominique Wilkins has the higher model estimate for the 1986–87 season

Impact comparison
+0.5Season impactEstimated points per 100 possessions above that season's league average+4.1Leads
#77Season impact rank#13Leads
81Games79
2,736Minutes2,969
21.5PPG29.0Leads
61.4%LeadsTS%54.3%

Dominique Wilkins's estimated impact per 100 possessions was +4.1, compared with +0.5 for Adrian Dantley. This compares their impact while playing, not their total contribution across the season. Both players are compared in the 1986–87 season using its published Impact Rate. A ranked comparison requires at least 450 minutes for each player.

Adrian Dantley: 81 games and 2,736 minutes. Dominique Wilkins: 79 games and 2,969 minutes. Playing time matters when judging the whole season; the impact estimate above is a rate, not a season total.

Read turnover rate alongside offensive workload. Offensive usage measures the share of team plays a player ends with a shot, free throws, or a turnover while on the court—not every touch, pass, or act of playmaking. These rows provide context; they are not extra points added to the ranking.

Regular season only. Impact figures are estimates; small gaps are not exact. Playoffs, awards and titles do not determine the verdict.

1986–87 season · regular-season impacthusseyquation.com/compare/adrian-dantley/dominique-wilkins/1986-87

Behind the estimate

Why the model rates them this way

A verified breakdown of this season’s published estimate is unavailable. We do not substitute another season’s calculation.

What this does not establish: these figures do not prove that either player made his teammates shoot better. A verified teammate-shooting comparison is unavailable for this selected season. A small difference in the estimates is not a decisive basketball distinction.

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Full comparison · 1986–87 season

Understand the numbers

Start with impact, then compare playing time and skills. Team results add context. These are not categories to tally into a winner.

1 · Ranking evidence

Impact: who ranks higher, and why?

The impact estimate compares performance while playing, not total contribution over the season. The individual-stat estimate plus the lineup adjustment gives the final estimate.

Impact: Adrian Dantley and Dominique Wilkins
MetricAdrian DantleyDominique Wilkins
Season impactEstimated points per 100 possessions above that season's league average+0.5+4.1Better result for this metric.
Season impact rank#77#13Better result for this metric.

Adrian Dantley: verified lineup window unavailable. Dominique Wilkins: verified lineup window unavailable. The adjustment is not necessarily based on this season alone.

2 · Playing time and responsibility

How much did each player take on?

Read games and minutes alongside impact. Offensive usage is the share of team plays a player ends with a shot, free throws, or a turnover while on court. More usage is not automatically better.

Playing time and workload: Adrian Dantley and Dominique Wilkins
MetricAdrian DantleyDominique Wilkins
Games8179
Minutes2,7362,969

3 · Individual skills

Where does each player have an advantage?

These figures describe the selected regular seasons. They provide context, not extra points added to the verdict. Green marks the better result for a metric, including lower turnover rates. Workload and shot-selection measures stay neutral. These rows are not votes toward the ranking.

Shooting

True shooting includes two-pointers, three-pointers, and free throws.

Shooting: Adrian Dantley and Dominique Wilkins
MetricAdrian DantleyDominique Wilkins
True shooting percentage61.4%Better result for this metric.54.3%
Show more stats: Shooting
Shooting: Adrian Dantley and Dominique Wilkins
MetricAdrian DantleyDominique Wilkins
Field-goal percentage53.4%Better result for this metric.46.3%
Three-point percentage16.7%29.2%Better result for this metric.
Free-throw percentage81.2%81.8%Better result for this metric.

Passing

Assist rate is the share of teammates’ made shots assisted while the player is on court. Read turnovers alongside offensive workload; lower turnover rate is generally better.

Passing: Adrian Dantley and Dominique Wilkins
MetricAdrian DantleyDominique Wilkins
Assists per game2.03.3Better result for this metric.

Rebounding

Rebound rate is the share of available rebounds collected while on court.

Rebounding: Adrian Dantley and Dominique Wilkins
MetricAdrian DantleyDominique Wilkins
Rebounds per game4.16.3Better result for this metric.

Scoring

Points per game describe scoring volume, not overall impact.

Scoring: Adrian Dantley and Dominique Wilkins
MetricAdrian DantleyDominique Wilkins
Points per game21.529.0Better result for this metric.

4 · Team context, not ranking inputs

What happened with and without them?

A verified with/without comparison is unavailable for this scope. We do not substitute another season’s observations.

Four separate questions

Impact, winning, playoffs, and awards

These are different ways to understand a career. Only Regular Season Impact determines the hussEyquation verdict. The other three sections add basketball context without adding points or changing the rank.

Ranking result

Regular Season Impact

Dominique Wilkins has the higher model estimate for the 1986–87 season.

Adrian DantleyMetricDominique Wilkins
+0.5Season impactEstimated points per 100 possessions above that season's league average+4.1Leads
#77Season impact rank#13Leads

This is the ranking result. It uses regular-season impact only. Team records, playoffs, and awards do not change it.

Context

Team Success

The advantages are split across the available measures.

Adrian DantleyMetricDominique Wilkins
690LeadsListed-team regular-season wins663
49.5%Listed-team winning percentage51.8%Leads
350-win team seasons5Leads
1Leads60-win team seasons0
10Playoff team seasons11Leads

Context only. Not included in Career Impact Rank. Final records for every listed team-season. A traded season can include more than one team.

Context

Playoff Résumé

The advantages are split across the available measures.

Adrian DantleyMetricDominique Wilkins
7Playoff appearances10Leads
73LeadsPlayoff games56
37LeadsTeam playoff wins23
1LeadsFinals appearances0
0Championships0

Context only. Not included in Career Impact Rank. Team playoff results count only seasons when the player appeared in a playoff game.

Context

Awards

The advantages are split across the available measures.

Adrian DantleyMetricDominique Wilkins
6All-Star9Leads
0MVP0
2All-NBA7Leads
0All-Defense0
0DPOY0
1LeadsRookie of the Year0

Context only. Not included in Career Impact Rank. Major regular-season honors are recognition, not inputs to the impact ranking.

How each context field is counted
Listed-team regular-season wins
The sum of each listed team's final wins in every season the player represented that team.
Listed-team winning percentage
Those team wins divided by those teams' total regular-season games.
50- and 60-win team seasons
Listed team-seasons that finished with at least 50 or 60 wins. Shortened seasons are not projected to 82 games.
Team seasons reaching playoffs
Listed team-seasons in which that team qualified for the playoffs.
Playoff appearances and games
Postseasons and games in which the player appeared.
Team playoff wins
Team wins from those postseasons. They describe team results, not individual credit.
Finals appearances and championships
Seasons when the player appeared in the playoffs for the finalist or champion.
Awards
Recorded NBA selections and major regular-season honors. A zero means the source records none; Not available means the source field is missing.

Source and scope Basketball Reference, NBA seasons 1950–51 through 2025–26, accessed 2026-10-09.

Selected seasons

Era-centered impact

Both bars show the same NBA season. Missing or unqualified data does not establish a winner.

Adrian DantleyDominique Wilkins

Estimated points per 100 possessions above that season's league average

1
Both bars show the same NBA season. Missing or unqualified data does not establish a winner.