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Klay Thompson vs. Manu Ginóbili: 2015–16 season

hussEyquation2015–16 season · regular-season impact
Regular-season verdict

Manu Ginóbili has the higher model estimate for the 2015–16 season

Impact comparison
+1.6Season impactEstimated points per 100 possessions above that season's league average+2.9Leads
#67Season impact rank#33Leads
80Games58
2,666Minutes1,134
22.1LeadsPPG9.6
59.7%LeadsTS%57.3%

Manu Ginóbili's estimated impact per 100 possessions was +2.9, compared with +1.6 for Klay Thompson. This compares their impact while playing, not their total contribution across the season. Both players are compared in the 2015–16 season using its published Impact Rate. A ranked comparison requires at least 450 minutes for each player.

Klay Thompson: 80 games and 2,666 minutes. Manu Ginóbili: 58 games and 1,134 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.

2015–16 season · regular-season impacthusseyquation.com/compare/klay-thompson/manu-ginobili/2015-16

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 · 2015–16 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: Klay Thompson and Manu Ginóbili
MetricKlay ThompsonManu Ginóbili
Season impactEstimated points per 100 possessions above that season's league average+1.6+2.9Better result for this metric.
Season impact rank#67#33Better result for this metric.

Klay Thompson: verified lineup window unavailable. Manu Ginóbili: 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: Klay Thompson and Manu Ginóbili
MetricKlay ThompsonManu Ginóbili
Games8058
Minutes2,6661,134

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: Klay Thompson and Manu Ginóbili
MetricKlay ThompsonManu Ginóbili
True shooting percentage59.7%Better result for this metric.57.3%
Show more stats: Shooting
Shooting: Klay Thompson and Manu Ginóbili
MetricKlay ThompsonManu Ginóbili
Field-goal percentage47.0%Better result for this metric.45.3%
Three-point percentage42.5%Better result for this metric.39.1%
Free-throw percentage87.3%Better result for this metric.81.3%

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: Klay Thompson and Manu Ginóbili
MetricKlay ThompsonManu Ginóbili
Assists per game2.13.1Better result for this metric.

Rebounding

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

Rebounding: Klay Thompson and Manu Ginóbili
MetricKlay ThompsonManu Ginóbili
Rebounds per game3.8Better result for this metric.2.5

Scoring

Points per game describe scoring volume, not overall impact.

Scoring: Klay Thompson and Manu Ginóbili
MetricKlay ThompsonManu Ginóbili
Points per game22.1Better result for this metric.9.6

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.

Career to date. At least one player is active. Every total below stops after the latest completed season in this data; nothing is projected.

Ranking result

Regular Season Impact

Manu Ginóbili has the higher model estimate for the 2015–16 season.

Klay ThompsonMetricManu Ginóbili
+1.6Season impactEstimated points per 100 possessions above that season's league average+2.9Leads
#67Season impact rank#33Leads

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

Context

Team Success

Manu Ginóbili leads every available measure below.

Klay ThompsonMetricManu Ginóbili
651Listed-team regular-season wins918Leads
62.0%Listed-team winning percentage70.8%Leads
750-win team seasons15Leads
360-win team seasons6Leads
9Playoff team seasons16Leads

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.

Klay ThompsonMetricManu Ginóbili
9Playoff appearances15Leads
158Playoff games218Leads
108Team playoff wins135Leads
6LeadsFinals appearances5
4Championships4

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

Context

Awards

Klay Thompson leads every available measure below.

Klay ThompsonMetricManu Ginóbili
5LeadsAll-Star2
0MVP0
2All-NBA2
1LeadsAll-Defense0
0DPOY0
0Rookie 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. Active-career totals are results to date through the latest completed season in the source.

Selected seasons

Era-centered impact

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

Klay ThompsonManu Ginóbili

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.