Jay Huff
2025–26
82 games · 1,719 minutes
NBA player comparison
Jay Huff vs. Jonathan Kuminga: 2025–26 season
Regular-season verdict
Jay Huff leads in impact for 2025–26
Jay Huff ranks ahead of Jonathan Kuminga in estimated impact while playing. This compares regular-season performance, not total contribution across the season.
Jonathan Kuminga
2025–26
36 games · 830 minutes
Impact comparison
Impact estimate is measured in points per 100 possessions above league average. Zero is average; higher is better. Impact Rate rank is a league place, not a 0–100 score: No. 1 is best.
+0.8LeadsImpact estimateEstimated points per 100 possessions above league average · higher is better+0.2
#147LeadsImpact Rate rankLeague place · No. 1 is best#244
+1.07Estimated defensive impactSelected-season lineup estimate · points per 100 possessions+2.31Leads
-1.84Estimated offensive impactSelected-season lineup estimate · points per 100 possessions-0.47Leads
1.1%Steal rate1.3%Leads
10.4%LeadsTurnover rateLower is better; compare alongside offensive workload14.6%
18.0%Offensive usage23.4%
59.8%LeadsTrue shooting %55.7%
10.4%Assist rateShare of teammates’ made shots assisted while on court14.7%Leads
10.3%Rebound rateShare of available rebounds collected while on court13.4%Leads
82Games36
1,719Minutes830
Jay Huff's estimated impact per 100 possessions was +0.8, compared with +0.2 for Jonathan Kuminga. This compares their impact while playing, not their total contribution across the season. Both players are compared in the 2025–26 season using its published Impact Rate. A ranked comparison requires at least 450 minutes for each player.
Jay Huff: 82 games and 1,719 minutes. Jonathan Kuminga: 36 games and 830 minutes. Playing time matters when judging the whole season; the impact estimate above is a rate, not a season total.
Jonathan Kuminga ended a larger share of his team’s possessions, so the turnover rates are not an equal-workload comparison. 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.
Behind the estimate
Why the model rates them this way
The model starts with each player’s recorded individual stats, then adjusts that estimate using lineup results. The first two rows add up to the final estimate. All figures are points per 100 possessions.
Jay HuffMetricJonathan Kuminga
+1.23LeadsFrom recorded individual stats+0.03
-0.47Adjustment from recent lineup results+0.13Leads
+0.75LeadsFinal estimated impact+0.16
Lineup evidence: Jay Huff — 2 seasons; Jonathan Kuminga — 3 seasons. This adjustment is not necessarily based on the selected season alone.
Offensive and defensive lineup estimates for the selected season
These selected-season estimates account for who played alongside and against each player. Positive means better than average; a positive defensive figure means fewer points allowed. They are separate estimates—not additional points added to the calculation above. They do not measure how much individual teammates improved.
Jay HuffMetricJonathan Kuminga
-1.84Adjusted offensive impact-0.47Leads
+1.07Adjusted defensive impact+2.31Leads
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.
Full comparison · 2025–26 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.
| Metric | Jay Huff | Jonathan Kuminga |
|---|---|---|
| Impact estimateEstimated points per 100 possessions above league average · higher is better | +0.8Better result for this metric. | +0.2 |
| Impact Rate rankLeague place · No. 1 is best | #147Better result for this metric. | #244 |
| From recorded individual stats | +1.23Better result for this metric. | +0.03 |
| Adjustment from recent lineup results | -0.47 | +0.13Better result for this metric. |
Jay Huff: 2 seasons of lineup evidence. Jonathan Kuminga: 3 seasons of lineup evidence. The adjustment is not necessarily based on this season alone.
Show more stats: Impact
| Metric | Jay Huff | Jonathan Kuminga |
|---|---|---|
| Final estimated impact | +0.75Better result for this metric. | +0.16 |
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.
| Metric | Jay Huff | Jonathan Kuminga |
|---|---|---|
| Games | 82 | 36 |
| Minutes | 1,719 | 830 |
| Offensive usage | 18.0% | 23.4% |
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.
| Metric | Jay Huff | Jonathan Kuminga |
|---|---|---|
| True shooting percentage | 59.8%Better result for this metric. | 55.7% |
Show more stats: Shooting
| Metric | Jay Huff | Jonathan Kuminga |
|---|---|---|
| Field-goal percentage | 47.6%Better result for this metric. | 46.3% |
| Three-point percentage | 31.9% | 33.3%Better result for this metric. |
| Free-throw percentage | 82.8%Better result for this metric. | 72.4% |
| Three-point attempt rateShare of field-goal attempts taken from three; describes shot selection, not quality | 61.0% | 31.0% |
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.
| Metric | Jay Huff | Jonathan Kuminga |
|---|---|---|
| Assist rateShare of teammates’ made shots assisted while on court | 10.4% | 14.7%Better result for this metric. |
| Assists per game | 1.5 | 2.3Better result for this metric. |
Show more stats: Passing
| Metric | Jay Huff | Jonathan Kuminga |
|---|---|---|
| Turnover rateLower is better; compare alongside offensive workload | 10.4%Better result for this metric. | 14.6% |
Rebounding
Rebound rate is the share of available rebounds collected while on court.
| Metric | Jay Huff | Jonathan Kuminga |
|---|---|---|
| Rebound rateShare of available rebounds collected while on court | 10.3% | 13.4%Better result for this metric. |
| Rebounds per game | 4.0 | 5.6Better result for this metric. |
Defense
Steals and blocks describe only part of defense. They do not capture every stop, rotation, or matchup.
| Metric | Jay Huff | Jonathan Kuminga |
|---|---|---|
| Steal rate | 1.1% | 1.3%Better result for this metric. |
Show more stats: Defense
| Metric | Jay Huff | Jonathan Kuminga |
|---|---|---|
| Block rateShare of opponents’ two-point attempts blocked while on court | 7.6%Better result for this metric. | 1.2% |
Scoring
Points per game describe scoring volume, not overall impact.
| Metric | Jay Huff | Jonathan Kuminga |
|---|---|---|
| Points per game | 9.5 | 12.2Better 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.
Selected-season adjusted lineup estimates
These account for who played alongside and against each player. Positive defense means fewer points allowed. They are separate from the observed results and are not additional points added to the model calculation.
| Metric | Jay Huff | Jonathan Kuminga |
|---|---|---|
| Adjusted offensive impact | -1.84 | -0.47Better result for this metric. |
| Adjusted defensive impact | +1.07 | +2.31Better result for this metric. |
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.
Regular Season Impact
Jay Huff leads in impact for 2025–26.
Jay HuffMetricJonathan Kuminga
+0.8LeadsImpact estimateEstimated points per 100 possessions above league average · higher is better+0.2
#147LeadsImpact Rate rankLeague place · No. 1 is best#244
This is the ranking result. It uses regular-season impact only. Team records, playoffs, and awards do not change it.
Team Success
Jonathan Kuminga leads every available measure below.
Jay HuffMetricJonathan Kuminga
192Listed-team regular-season wins274Leads
46.8%Listed-team winning percentage55.7%Leads
150-win team seasons1
060-win team seasons0
2Playoff team seasons4Leads
Context only. Not included in Career Impact Rank. Final records for every listed team-season. A traded season can include more than one team.
Playoff Résumé
Jonathan Kuminga leads every available measure below.
Jay HuffMetricJonathan Kuminga
1Playoff appearances4Leads
2Playoff games40Leads
0Team playoff wins29Leads
0Finals appearances1Leads
0Championships1Leads
Context only. Not included in Career Impact Rank. Team playoff results count only seasons when the player appeared in a playoff game.
Awards
No recorded measure separates these careers.
Jay HuffMetricJonathan Kuminga
Not availableAll-StarNot available
Not availableMVPNot available
Not availableAll-NBANot available
Not availableAll-DefenseNot available
Not availableDPOYNot available
Not availableRookie of the YearNot available
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
Box impact
Both bars show the same NBA season. Missing or unqualified data does not establish a winner.
Jay HuffJonathan Kuminga
Estimated points per 100 possessions above that season's league average
Striped bars mark seasons with fewer than 40 games. A dashed mark means that player had no season at the aligned point.