1) What the major models said (public outputs I found)

I targeted reputable model/output sources (ESPN, SportsLine, FanDuel/numberFire, SportsGambler, OddsShark / site computer picks and a few AI-outlet previews). Not all of these publish final score estimates publicly — some keep projected scores behind subscriber paywalls (SportsLine, Leans.ai). I list what was publicly available:

• ESPN Analytics / Matchup Predictor — ESPN’s matchup model gives win probabilities (favored side) but does not publish a public final-score projection on the free preview page. ESPN shows Bulls/76ers matchup info and injury list.

• SportsLine — SportsLine runs a proven model and publishes a projected score to subscribers; their page confirms a model projection exists but the projected score is subscriber-only on this matchup. SportsLine also lists injuries (e.g., team injury notes).

• Fox Sports (preview) — publishes a score prediction: Bulls 124 — 76ers 117.

• SportsGambler (site) — gives a correct-score prediction: Bulls 117 — 76ers 115.

• OddsShark / Computer pick — shows a computer prediction skewed toward Philadelphia with numeric values: 76ers 121.4 — Bulls 112.6 (their computer pick).

• FanDuel (numberFire) — FanDuel’s preview calls out numberFire’s probability (Bulls win (69%)) but did not publish a public numeric final-score on the preview I found.

Important: SportsLine and some AI outlets (Leans.ai / Remi, SportsLine PRO) do have model projections but often hide the full projected-score details behind subscriptions — I noted that where applicable.

2) Averaging the public final-score predictions

Only three reputable outlets I found published explicit numeric final-score predictions that were publicly viewable:

• Fox Sports: Bulls 124 — 76ers 117.

• SportsGambler: Bulls 117 — 76ers 115.

• OddsShark (computer pick): 76ers 121.4 — Bulls 112.6.

I averaged those three published scores (home team = Chicago Bulls, road = Philadelphia 76ers):

• Average (models’ final-score mean)

  • Philadelphia 76ers average score = (117 + 115 + 121.4) / 3 = 117.8.

  • Chicago Bulls average score = (124 + 117 + 112.6) / 3 = 117.87.

  • Averaged implied final score ≈ Bulls 118 — 76ers 118 (total ≈ 235.7).

Note: I only averaged public numeric predictions. ESPN, SportsLine, numberFire/BetQL and some other high-quality models either publish probabilities or hide their projected final-score behind paywalls; I flagged that above. Where a top model only provides a win probability or is behind a paywall I did not invent a score — I list their signals separately.

3) My independent prediction (method & numbers)

I constructed a compact, reproducible on-the-fly model using:

• a Pythagorean expected-win style approach (NBA exponent ≈ 14),

• simple expected-score blending (team offense vs opponent defense),

• adjustments for injuries / availability (public reports), recent scoring trends, and a qualitative SOS check.

Inputs I used from public team stats (sources cited):

• Season offensive outputs (from ESPN preview): 76ers 125.7 PPG, Bulls 121.7 PPG.

• Opponent points allowed (derived from public previews / team stats cited by outlets): Bulls allow ≈ 116.3 PPG; 76ers allow ≈ 118.2 PPG (these defensive numbers show up in the previews / matchup writeups).

Step A — Pythagorean check (expected win% from scoring profile)

• Using PF & PA with exponent 14:

  • Pythagorean-style expected win% (team scoring vs opponent scoring) shows Philadelphia’s scoring profile implies the stronger (higher) expected win% in isolation (their season scoring margin is a touch better). (computed from the PF/PA inputs above). This is a team-strength signal that slightly favors Philly.

Step B — Baseline score estimate (half-sum / common-sense blend)

• Quick neutral estimate:

  • PHI expected ≈ (PHI PPG + CHI allowed) / 2 = (125.7 + 116.3)/2 ≈ 121.0.

  • CHI expected ≈ (CHI PPG + PHI allowed) / 2 = (121.7 + 118.2)/2 ≈ 120.0.

  • Baseline implied score ≈ 76ers 121 — Bulls 120 (total ≈ 241).

Step C — Injury & availability adjustments

• Public injury/availability notes ahead of tip:

  • ESPN / SportsLine a.m. reports showed Paul George listed OUT for the 76ers and Dominick Barlow out; Bulls listed Coby White out and Ayo Dosunmu questionable/GTG. These moves cut into both benches/guard depth; Paul George OUT is a material negative for Philly’s wing depth if accurate.

• Practical effect of the injuries: losing Paul George reduces Philly’s non-Maxey scoring/3PT/defensive wing minutes — that would tend to lower Philly’s expected total by a few points. Bulls missing Coby White reduces backup guard depth, but Chicago still has starters (Giddey, Vucevic) and home-court.

Step D — Strength-of-schedule & recent trends

• Both teams have played a high-scoring slate; many previews note this year’s games frequently go OVER and both teams are averaging well above league points. A couple outlets note the Bulls had a relatively tough early schedule and both teams’ games have hit the over often. That supports higher totals.

My adjusted, final independent prediction (after Pythagorean + SOS + injuries + recent forms):

• Philadelphia 76ers 119 — Chicago Bulls 120 (final: Bulls by 1, total 239).

  • Rationale: Pythagorean / scoring blends initially tilt to Philly by offense, but the Paul George OUT signal plus Chicago home-court / matchup advantages swing the edge to the Bulls by a hair. The adjusted total (239) sits almost exactly at the market total (239.5) — I expect a close, high-scoring game near the market number.

4) Comparing averaged model output vs my prediction & which is most reliable

• Averaged public models (3 public score predictions) → Bulls 118 — 76ers 118 (total 235.7) — a virtual tie but slightly lower total than my model.

• My independent model → Bulls 120 — 76ers 119 (total 239) — Bulls by 1, total ≈ market.

Interpretation:

• The publicly-published model scores I could find average to a very even game but with a slightly lower total than the market. That average is driven by one model (OddsShark) predicting a PHI blowout-ish (121.4) while two others pick the Bulls by a handful. The median of the three numeric predictions is Bulls 117 — 76ers 117 (i.e., a dead heat).

• My independent analysis (which explicitly uses Pythagorean expected-win, simple score-blend, and injury adjustments) leans Bulls by 1 and favors the game very close to the market total (239 / 239.5) — which I view as the more reliable actionable read because it explicitly incorporates the up-to-the-minute injury signals and the teams’ offensive/defensive profiles rather than a single site’s internal computer pick.

5) Final pick (actionable)

My PICK: Philadelphia 76ers Moneyline +105 (LOSE)