1) What the (public) models / outlets are saying (collected)
I pulled publicly-posted final-score projections / model predictions from reputable outlets that publish model-driven picks for Bengals @ Broncos — Sep 29, 2025:
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SI / Sports Illustrated (final-score pick): Broncos 26 — Bengals 16.
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BleacherNation (staff predicted): Broncos 29 — Bengals 19.
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Mile High Report (local staff consensus): Broncos 27 — Bengals 20.
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Arizona Republic / Sports Betting Dime style projection: Broncos 22.3 — Bengals 17.9 (numeric projection).
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ScoresAndStats / smaller model: Broncos 24 — Bengals 21.
(Notes: some premium models — e.g., SportsLine and BetQL — publish picks but portions are behind paywalls; SportsLine’s projection is publicly noted to be over on the total and projecting ~52 combined points, but their full per-team breakdown is behind their paywall. I still cite their public summary for context.)
2) Average of these five final-score predictions
I converted the five projections above to numbers and averaged them:
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Broncos scores: 26, 29, 27, 22.3, 24 → average = 25.66 (≈ 26) .
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Bengals scores: 16, 19, 20, 17.9, 21 → average = 18.78 (≈ 19).
Averaged model final score → Broncos 26 — Bengals 19.
That implies a model-average margin of about +7 for Denver and combined points ≈ 45 (note: SportsLine publicly projects more combined points, ~52, but their full numbers are paywalled).
3) My independent prediction (method + inputs)
I used:
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Pythagorean expectation (NFL exponent ≈ 2.37) on season points for / against to date (small sample but useful),
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Strength of schedule (SOS) context,
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Key external factors: injuries (Joe Burrow out; Bengals running/OL problems; Broncos questionable/limited injuries), home-field altitude, away travel, QB play trends and recent turnovers, and publicly reported model signals.
Inputs / quick facts:
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Through the previews I checked, the Bengals have scored 58 PF / 91 PA on the year; Broncos have 68 PF / 64 PA (small-sample early-season numbers).
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Joe Burrow is out (toe surgery) — Bengals are starting Jake Browning, who has thrown multiple INTs in limited work. That’s a major QB/production downgrade.
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Broncos’ home-field + altitude and a stout pass rush/defensive pressure profile are real advantages. Broncos schedule for 2025 is roughly league-average-to-easier (sources rank Denver around 14th easiest / middle of pack SOS). Bengals’ full-season SOS is around the mid-pack as well. That slightly favors Denver in long-term context.
Pythagorean quick calculation (precision):
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Using PF/PA and exponent 2.37:
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Pythagorean win % ≈ Broncos 53.6%, Bengals 25.6% (the rest is sample noise / variance).
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That gives a baseline edge to DEN, but not a blowout purely from those numbers. (I computed this from the PF/PA numbers shown in the ESPN preview.)
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Adjustments I made beyond raw Pythagoras:
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Downside to Bengals from Burrow absence: large. Backup QB turnover history (Jake Browning with multiple interceptions in limited time) materially reduces Cincinnati’s expected scoring and increases turnover probability. That pushes Denver’s win probability up substantially versus the simple Pyth. estimate.
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Broncos defense & home altitude: increases Denver’s expected margin (forces more run, more fatigue late for visiting skill players).
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Recent trends: Bengals surrendered 48 points last week → defensive red flags; Denver has been in close losses but shown ability to lead late — that suggests Denver can exploit a turnover-prone Bengals team.
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SOS: Broncos have a middling/easier schedule ranking; that slightly helps the “public model” outlook but is less decisive for a single-game line.
My independent predicted final score = Broncos 28 — Bengals 17.
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Rationale: baseline Pythagorean + small season stats suggested a Denver score in the mid-20s and Cincinnati in the high-teens; I nudge Denver a little higher (28) because of (A) Burrow absence and turnover risk and (B) Denver’s home-field and pass-rush matchup advantages. This projects Denver by 11.
My estimated win probability (subjective / model-informed): Broncos ~72% win chance; Bengals ~28%.
4) Compare averaged-model score vs my analysis
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Averaged models: Broncos 26–19 (Broncos by ~7).
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My prediction: Broncos 28–17 (Broncos by 11).
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Key difference: I project Denver to win by a larger margin (≈ 10–11 points) because of the Burrow absence + Browning turnover risk and Denver’s home defensive advantages. Several public models were already favoring Denver by about a touchdown; I lean more toward Denver covering and winning decisively.
5) News & injury checks used (sources)
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ESPN / AP game preview: details on Burrow’s injury, Denver/Bengals team trends and PF/PA numbers. (Burrow out; Bengals turnover issues; Broncos home altitude/home streak notes).
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CBS / SportsLine summary: SportsLine’s public summary (model sim notes: projects a higher combined point total; model historically strong — paywalled full output). Useful confirmation that pro simulation models are favoring Denver.
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Local and national previews (BleacherNation, SI, MileHighReport, FoxSports, AZCentral) — used to gather public model final-score picks / trends and consensus lean.
