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Joakim Noah vs. Marcus Camby: 2009–10 season

hussEyquation2009–10 season · regular-season impact
Regular-season verdict

Marcus Camby has the higher model estimate for the 2009–10 season

Impact comparison
+2.0Season impactEstimated points per 100 possessions above that season's league average+4.2Leads
#47Season impact rank#13Leads
64Games74
1,925Minutes2,314
10.7LeadsPPG7.5
55.7%LeadsTS%50.1%

Marcus Camby's estimated impact per 100 possessions was +4.2, compared with +2.0 for Joakim Noah. This compares their impact while playing, not their total contribution across the season. Both players are compared in the 2009–10 season using its published Impact Rate. A ranked comparison requires at least 450 minutes for each player.

Joakim Noah: 64 games and 1,925 minutes. Marcus Camby: 74 games and 2,314 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.

2009–10 season · regular-season impacthusseyquation.com/compare/joakim-noah/marcus-camby/2009-10

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 · 2009–10 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: Joakim Noah and Marcus Camby
MetricJoakim NoahMarcus Camby
Season impactEstimated points per 100 possessions above that season's league average+2.0+4.2Better result for this metric.
Season impact rank#47#13Better result for this metric.

Joakim Noah: verified lineup window unavailable. Marcus Camby: 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: Joakim Noah and Marcus Camby
MetricJoakim NoahMarcus Camby
Games6474
Minutes1,9252,314

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: Joakim Noah and Marcus Camby
MetricJoakim NoahMarcus Camby
True shooting percentage55.7%Better result for this metric.50.1%
Show more stats: Shooting
Shooting: Joakim Noah and Marcus Camby
MetricJoakim NoahMarcus Camby
Field-goal percentage50.4%Better result for this metric.47.5%
Three-point percentageUnavailable28.6%
Free-throw percentage74.4%Better result for this metric.63.9%

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: Joakim Noah and Marcus Camby
MetricJoakim NoahMarcus Camby
Assists per game2.12.5Better result for this metric.

Rebounding

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

Rebounding: Joakim Noah and Marcus Camby
MetricJoakim NoahMarcus Camby
Rebounds per game11.011.8Better result for this metric.

Scoring

Points per game describe scoring volume, not overall impact.

Scoring: Joakim Noah and Marcus Camby
MetricJoakim NoahMarcus Camby
Points per game10.7Better result for this metric.7.5

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

Marcus Camby has the higher model estimate for the 2009–10 season.

Joakim NoahMetricMarcus Camby
+2.0Season impactEstimated points per 100 possessions above that season's league average+4.2Leads
#47Season 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.

Joakim NoahMetricMarcus Camby
554Listed-team regular-season wins711Leads
53.3%LeadsListed-team winning percentage47.6%
350-win team seasons4Leads
1Leads60-win team seasons0
8Playoff 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

Marcus Camby leads every available measure below.

Joakim NoahMetricMarcus Camby
8Playoff appearances11Leads
62Playoff games79Leads
34Team playoff wins37Leads
0Finals appearances1Leads
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.

Joakim NoahMetricMarcus Camby
2LeadsAll-Star0
0MVP0
1LeadsAll-NBA0
3All-Defense4Leads
1DPOY1
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.

Selected seasons

Era-centered impact

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

Joakim NoahMarcus Camby

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.