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San Antonio Spurs

2023-24
2016-172017-182018-192019-202020-212021-222022-232023-242024-252025-26
Latest available releaseEvidence released Aug 22, 2026, 8:30 PM UTCLive database

What 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.

CoveragePartial9 supported · 2 withheld
Cap positionOver the cap, below the tax line, on selected player charges
Next decision dateJun 30, 2024 · 9 events →

What can be trusted

Supported strengths — production, who carries it, and what money is already committed.
Passing connectivity
91st percentile
Tre Jones carries 17.1%
Availability: Absences repeatedly created a problemMoney: Salary-to-function mapping withheld — coverage too low
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.

Creation
87th percentile
Devin Vassell carries 18.1%
Availability: Absences repeatedly created a problemMoney: Salary-to-function mapping withheld — coverage too low
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.

Rim pressure
87th percentile
Victor Wembanyama carries 21.1%
Availability: Absences repeatedly created a problemMoney: Salary-to-function mapping withheld — coverage too low
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.
Shooting and spacing
0th percentile
Devin Vassell carries 34.9%
Availability: Absences repeatedly worsened an existing problemMoney: Salary-to-function mapping withheld — coverage too low
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.

Screening
25th percentile
Victor Wembanyama carries 27.2%
Availability: Absences repeatedly worsened an existing problemMoney: Salary-to-function mapping withheld — coverage too low
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)
FunctionReadingLeague percentileLargest contributorRecent availabilitySalary commitment
CreationSupportedTeam strength87th percentileDevin Vassell · 18.1%Absences repeatedly created a problemSalary-to-function mapping withheld — coverage too low
Defensive event creationSupportedMiddle of the league26th percentileVictor Wembanyama · 37.0%Absences repeatedly worsened an existing problemSalary-to-function mapping withheld — coverage too low
Interior finishingSupportedMiddle of the league30th percentileVictor Wembanyama · 23.1%Absences repeatedly worsened an existing problemSalary-to-function mapping withheld — coverage too low
Passing connectivitySupportedTeam strength91st percentileTre Jones · 17.1%Absences repeatedly created a problemSalary-to-function mapping withheld — coverage too low
Point-of-attack defense proxyWithheldBasketball conclusion withheldDevin VassellRecent availability conclusion withheldSalary-to-function mapping withheld — coverage too low
ReboundingSupportedTeam strength83rd percentileVictor Wembanyama · 32.0%Absences repeatedly created a problemSalary-to-function mapping withheld — coverage too low
Rim pressureSupportedTeam strength87th percentileVictor Wembanyama · 21.1%Absences repeatedly created a problemSalary-to-function mapping withheld — coverage too low
Rim protectionSupportedMiddle-tier area with one-player risk39th percentileVictor Wembanyama · 42.9%Absences repeatedly created a problemSalary-to-function mapping withheld — coverage too low
ScreeningSupportedCritical team problem25th percentileVictor Wembanyama · 27.2%Absences repeatedly worsened an existing problemSalary-to-function mapping withheld — coverage too low
Shooting and spacingSupportedCritical team problem0th percentileDevin Vassell · 34.9%Absences repeatedly worsened an existing problemSalary-to-function mapping withheld — coverage too low
Switch coverage proxyWithheldBasketball conclusion withheldDevin VassellRecent availability conclusion withheldSalary-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.
Tre Jones
Lineup performance dependence

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.

rotation 54%loses 17.1% of passing connectivity
Replacement evidence
Best observed five without Tre Jones

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

Victor Wembanyama
Lineup performance dependence

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.

rotation 53%loses 42.9% of rim protection
Replacement evidence
Best observed five without Victor Wembanyama

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

Julian Champagnie
Lineup performance dependence

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.

rotation 37%loses 14.1% of defensive event creation
Replacement evidence
Best observed five without Julian Champagnie

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

Devin Vassell
Replacement lineup exists, with a performance cost

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.

rotation 57%loses 18.1% of creation
Replacement evidence
Best observed five without Devin Vassell

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.
Rim protection

Absences repeatedly created a problem

created in 10 of the final 10 covered games — mainly Victor Wembanyama

Interior finishing

Absences repeatedly worsened an existing problem

worsened in 9 of the final 10 covered games — mainly Victor Wembanyama

Shooting and spacing

Absences repeatedly worsened an existing problem

worsened in 9 of the final 10 covered games — mainly Devin Vassell

Creation

Absences repeatedly created a problem

created in 8 of the final 10 covered games — mainly Devin Vassell

Defensive event creation

Absences repeatedly worsened an existing problem

worsened in 8 of the final 10 covered games — mainly Victor Wembanyama

Passing connectivity

Absences repeatedly created a problem

created in 8 of the final 10 covered games — mainly Jeremy Sochan

Rebounding

Absences repeatedly created a problem

created in 8 of the final 10 covered games — mainly Victor Wembanyama

Rim pressure

Absences repeatedly created a problem

created in 8 of the final 10 covered games — mainly Victor Wembanyama

Screening

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.
WithheldThe team was over the cap but below the tax on selected player charges; exception detail remains withheld.
Selected player charges
$142.9M
Share of cap
105%
Tax line
$22.4M under
First apron
$29.5M under
Second apron
$39.9M under

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
Salary cap: $136,021,000Luxury tax line: $165,294,000First apron: $172,346,000Second apron: $182,794,000Selected player charges: $142,867,770Source-reported payroll: $142,867,770 (source-named payroll total; not relabeled as cash or cap)

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.
PartialTeam picture available; function-level salary mapping incomplete9 of 11 functions supported
  • 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.