Final audited reference season.
Chicago BullsEAST · CENTRAL
Chicago Bulls
Canonical ProbHoops team profile. Forecast and movement data are published only when the current release passes the operational governance gates.
out
30 NBA Cup-dependent regular-season matchups remain unassigned.
2026–27 · ASSIGNED SCHEDULE INTELLIGENCE
Forecast path ahead
Sum of governed win probabilities over 80 assigned games only — not an 82-game projection.
50.3% opponent expected-win rate · #1 is toughest.
Starts only after verified final detailed boxscores.
NEXT 5
Upcoming assigned games
2025–26 PERFORMANCE REFERENCE
AF-Score 39.7
Chicago Bulls finished the last completed season with an AF-Score of 39.7, ranked #21 of 30 in the full historical field. This describes observed team performance; it is not a 2026–27 forecast and not a win probability.
Scoring41.0
Defense32.3
Possession20.9
Creation62.0
Discipline76.2
SAME-GAMES-PLAYED EVOLUTION
How the 2025–26 profile developed
GAME 563.3
GAME 1056.4
GAME 2046.1
GAME 4148.6
GAME 6042.7
FINAL39.7
AF-SCORE HISTORY
Seven-season performance trail
2019–2034.8#25/30
2020–2148.6#19/30
2021–2250.1#19/30
2022–2355.2#11/30
2023–2446.4#20/30
2024–2549.4#18/30
2025–2639.7#21/30
All seven completed seasons now use complete 30-team, full-observed historical fields. Current 2026–27 AF-Score starts only after verified final team box scores arrive.
E67 · ROSTER INTELLIGENCE
Depth, dependency and profile fit
Team Depth uses the current governed Expected Minutes allocation and the latest eligible AF-Player observations. Star Dependency combines AF-Player percentile with the player’s governed next-game What If impact percentile within this team. It is model dependency, not causal truth.
Expected-minute-weighted rated rotation.
Mechanical role split, not official bench.
Share of the governed 240-minute team accounting carrying eligible AF-Player.
Expected Minutes concentration only.
STAR DEPENDENCY
Josh Giddey1 governed next-game sample81dependency-1.3 pp if OUTTre Jones1 governed next-game sample80dependency-1.1 pp if OUTLeonard Miller1 governed next-game sample61dependency-0.8 pp if OUTIsaac Okoro1 governed next-game sample58dependency+1.7 pp if OUTNic Claxton1 governed next-game sample55dependency+0.1 pp if OUTPROFILE FIT · rebounding
Statistical profile examples only. Not a trade recommendation.
Rudy GobertMIN · rebounding94Mitchell RobinsonBOS · rebounding93Donovan ClinganPOR · rebounding93Jalen DurenDET · rebounding93Kel'el WareMIL · rebounding93PLAYER ROLE & IMPACT · 2025–26
Who carried the largest pregame role?
These player rows summarize pregame-known role and workload from the last completed season. With/without values, when shown, are residualized historical diagnostics with sample-size gates — not causal injury estimates.
PLAYERMatas Buzelis
EXPECTED MIN27.2
SCORING SHARE13.6%
CREATION SHARE7.1%
PARTICIPATION PRIOR86.2%
WITH/WITHOUTsample not qualified
PLAYERNikola Vucevic
EXPECTED MIN25.9
SCORING SHARE15.2%
CREATION SHARE12.7%
PARTICIPATION PRIOR78.3%
WITH/WITHOUT+2.17 residual pts
PLAYERJosh Giddey
EXPECTED MIN22.4
SCORING SHARE14.8%
CREATION SHARE29.3%
PARTICIPATION PRIOR65.8%
WITH/WITHOUT-3.81 residual pts
PLAYERGuerschon Yabusele
EXPECTED MIN21.6
SCORING SHARE9.8%
CREATION SHARE7.8%
PARTICIPATION PRIOR81.0%
WITH/WITHOUTsample not qualified
PLAYERNick Richards
EXPECTED MIN21.1
SCORING SHARE8.9%
CREATION SHARE1.4%
PARTICIPATION PRIOR83.9%
WITH/WITHOUTsample not qualified
PLAYERIsaac Okoro
EXPECTED MIN20.8
SCORING SHARE7.5%
CREATION SHARE5.8%
PARTICIPATION PRIOR74.4%
WITH/WITHOUT+1.84 residual pts
PLAYERTre Jones
EXPECTED MIN20.7
SCORING SHARE11.0%
CREATION SHARE19.5%
PARTICIPATION PRIOR70.2%
WITH/WITHOUT+0.31 residual pts
PLAYERAyo Dosunmu
EXPECTED MIN20.2
SCORING SHARE13.0%
CREATION SHARE11.8%
PARTICIPATION PRIOR73.1%
WITH/WITHOUT+3.91 residual pts
NBA OFFICIAL AVAILABILITY
Current player status
Checking the governed NBA Official availability state.
GAME DAY
Operational status
Checking today and upcoming NBA game state.
PLAYER MILESTONES
Conditional-on-active probabilities
Current rows stay withheld until deterministic NBA-official pre-tip availability is integrated.
MOVEMENT
Release-to-release change
Movement requires two eligible published probability releases from the same season.
Attribution rule
ProbHoops does not infer a cause from a probability delta. A movement driver can be canonical only when deterministic counterfactual provenance reproduces the observed change.