San Antonio Spurs
2023-24What were the San Antonio Spurs in 2023-24, and what needed front-office attention?
SAS 2023-24: the clearest roster problems were Shooting and spacing, Screening. The strongest covered areas were Passing connectivity, Creation, Rim pressure. The main rotation-player dependency cases were Tre Jones, Victor Wembanyama, Julian Champagnie, Devin Vassell. Structural basketball need, injuries, replacement lineups, and financial constraints are reported separately.
What can be trusted
Supported strengths — production, who carries it, and what money is already committed.Full reading
SAS 2023-24 Passing connectivity: this was a team strength; production ranked at the 91.3 league percentile. Tre Jones supplied 17.1% of the team's above-replacement production in this area. Absences created a shortage in 8 of the final 10 covered games. Function-level salary allocation was incomplete and is withheld.
Full reading
SAS 2023-24 Creation: this was a team strength; production ranked at the 87.0 league percentile. Devin Vassell supplied 18.1% of the team's above-replacement production in this area. Absences created a shortage in 8 of the final 10 covered games. Function-level salary allocation was incomplete and is withheld.
Full reading
SAS 2023-24 Rim pressure: this was a team strength; production ranked at the 87.0 league percentile. Victor Wembanyama supplied 21.1% of the team's above-replacement production in this area. Absences created a shortage in 8 of the final 10 covered games. Function-level salary allocation was incomplete and is withheld.
What needs attention
The clearest roster problems the evidence supports.Full reading
SAS 2023-24 Shooting and spacing: this was one of the team's clearest roster problems; production ranked at the 0.0 league percentile. Devin Vassell supplied 34.9% of the team's above-replacement production in this area. Absences made the problem worse in 9 of the final 10 covered games. Function-level salary allocation was incomplete and is withheld.
Full reading
SAS 2023-24 Screening: this was one of the team's clearest roster problems; production ranked at the 25.0 league percentile. Victor Wembanyama supplied 27.2% of the team's above-replacement production in this area. Absences made the problem worse in 8 of the final 10 covered games. Function-level salary allocation was incomplete and is withheld.
Every covered basketball function (11)
| Function | Reading | League percentile | Largest contributor | Recent availability | Salary commitment |
|---|---|---|---|---|---|
| Creation | SupportedTeam strength | 87th percentile | Devin Vassell · 18.1% | Absences repeatedly created a problem | Salary-to-function mapping withheld — coverage too low |
| Defensive event creation | SupportedMiddle of the league | 26th percentile | Victor Wembanyama · 37.0% | Absences repeatedly worsened an existing problem | Salary-to-function mapping withheld — coverage too low |
| Interior finishing | SupportedMiddle of the league | 30th percentile | Victor Wembanyama · 23.1% | Absences repeatedly worsened an existing problem | Salary-to-function mapping withheld — coverage too low |
| Passing connectivity | SupportedTeam strength | 91st percentile | Tre Jones · 17.1% | Absences repeatedly created a problem | Salary-to-function mapping withheld — coverage too low |
| Point-of-attack defense proxy | WithheldBasketball conclusion withheld | — | Devin Vassell | Recent availability conclusion withheld | Salary-to-function mapping withheld — coverage too low |
| Rebounding | SupportedTeam strength | 83rd percentile | Victor Wembanyama · 32.0% | Absences repeatedly created a problem | Salary-to-function mapping withheld — coverage too low |
| Rim pressure | SupportedTeam strength | 87th percentile | Victor Wembanyama · 21.1% | Absences repeatedly created a problem | Salary-to-function mapping withheld — coverage too low |
| Rim protection | SupportedMiddle-tier area with one-player risk | 39th percentile | Victor Wembanyama · 42.9% | Absences repeatedly created a problem | Salary-to-function mapping withheld — coverage too low |
| Screening | SupportedCritical team problem | 25th percentile | Victor Wembanyama · 27.2% | Absences repeatedly worsened an existing problem | Salary-to-function mapping withheld — coverage too low |
| Shooting and spacing | SupportedCritical team problem | 0th percentile | Devin Vassell · 34.9% | Absences repeatedly worsened an existing problem | Salary-to-function mapping withheld — coverage too low |
| Switch coverage proxy | WithheldBasketball conclusion withheld | — | Devin Vassell | Recent availability conclusion withheld | Salary-to-function mapping withheld — coverage too low |
Who the team depends on
What disappears when a player is removed — and whether an observed replacement five exists.SAS lineups performed 10.1 points per 100 possessions better with Tre Jones than without him. The best supported alternative was [Keldon Johnson, Devin Vassell, Malaki Branham, Jeremy Sochan, Victor Wembanyama] over 213 possessions.
Replacement evidence
Keldon Johnson · Devin Vassell · Malaki Branham · Jeremy Sochan · Victor Wembanyama
shrunk net -0.555 over 213 possessions — small sample
on floor 4,058 possessions · off floor 3,486 possessions
SAS lineups performed 3.9 points per 100 possessions better with Victor Wembanyama than without him. The best supported alternative was [Zach Collins, Keldon Johnson, Devin Vassell, Tre Jones, Jeremy Sochan] over 171 possessions.
Replacement evidence
Zach Collins · Keldon Johnson · Devin Vassell · Tre Jones · Jeremy Sochan
shrunk net -1.21 over 171 possessions — small sample
on floor 4,050 possessions · off floor 3,460 possessions
SAS lineups performed 4.0 points per 100 possessions better with Julian Champagnie than without him. The best supported alternative was [Keldon Johnson, Devin Vassell, Tre Jones, Jeremy Sochan, Victor Wembanyama] over 275 possessions.
Replacement evidence
Keldon Johnson · Devin Vassell · Tre Jones · Jeremy Sochan · Victor Wembanyama
shrunk net 5.935 over 275 possessions — small sample
on floor 2,825 possessions · off floor 4,714 possessions
SAS had an observed replacement lineup for Devin Vassell, but it came with a performance cost. The supported alternative was [Zach Collins, Keldon Johnson, Malaki Branham, Jeremy Sochan, Victor Wembanyama] at -2.3 adjusted net points per 100 possessions over 168 possessions.
Replacement evidence
Zach Collins · Keldon Johnson · Malaki Branham · Jeremy Sochan · Victor Wembanyama
shrunk net -2.303 over 168 possessions — small sample
on floor 4,279 possessions · off floor 3,265 possessions
Function loss, lineup performance, and replacement-lineup evidence remain separate; none is causal player value.
What injuries change
Recent absences and the basketball needs they created or worsened.Absences repeatedly created a problem
created in 10 of the final 10 covered games — mainly Victor Wembanyama
Absences repeatedly worsened an existing problem
worsened in 9 of the final 10 covered games — mainly Victor Wembanyama
Absences repeatedly worsened an existing problem
worsened in 9 of the final 10 covered games — mainly Devin Vassell
Absences repeatedly created a problem
created in 8 of the final 10 covered games — mainly Devin Vassell
Absences repeatedly worsened an existing problem
worsened in 8 of the final 10 covered games — mainly Victor Wembanyama
Absences repeatedly created a problem
created in 8 of the final 10 covered games — mainly Jeremy Sochan
Absences repeatedly created a problem
created in 8 of the final 10 covered games — mainly Victor Wembanyama
Absences repeatedly created a problem
created in 8 of the final 10 covered games — mainly Victor Wembanyama
Absences repeatedly worsened an existing problem
worsened in 8 of the final 10 covered games — mainly Victor Wembanyama
Where money is tied up
Cap position and salary allocation — shown beside the basketball picture, never blended into it.Most salary is mapped to passing connectivity; the highest-need area is shooting and spacing. Salary-to-function mapping covers 67% of charges.
Exact figures
Exact transaction legality withheld — no exception-usage, cap-hold, and transaction ledger evidence.
What the evidence cannot answer
Deliberate abstentions — where the database refuses a conclusion rather than guessing.- Point-of-attack defense proxy: Basketball conclusion withheld
- Switch coverage proxy: Basketball conclusion withheld
Exact transaction legality: Exact transaction legality withheld — no exception-usage, cap-hold, and transaction ledger evidence
Team-season situation report. Structural basketball quality, recent availability, player dependence, replacement lineups, and financial position remain separate. No acquisition recommendation, transaction grade, coaching grade, outcome claim, or causal value is inferred.