1) Collected model predictions (top sources)
I used public predictions / model outputs from reputable outlets (Fox Sports, Sports Illustrated / national roundup, CBS/SportsLine model writeups, BetQL page, Picks & Parlays / SportsBettingDime / AZCentral). Where a source gave a final score I used that. Where a source gave simulation averages or a combined-projected total I converted it to a reasonable score split for averaging and noted that conversion.
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Fox Sports — MIA 24 — NYJ 19.
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Picks & Parlays — MIA 24 — NYJ 20.
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AZCentral / Sports Betting Dime model — NYJ 27.4 — MIA 23 (rounded used as NYJ 27 — MIA 23).
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USA Today (Jarrett Bell, included in national roundup) — NYJ 24 — MIA 20.
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CBS / SportsLine model — article states the model projects ~50 combined points (I split that plausibly as MIA 28 — NYJ 22 for averaging since CBS also notes Jets implied total is ~21 in their sims).
A note on sources: BetQL publishes simulation percentages on the game page (they show Miami winning more sims), but full numeric final-score projections there are behind a subscriber wall so I used their win% / sim info for context rather than as a numeric score.
2) Average of those 5 model scores
Take the five numbers above and average each team:
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Dolphins scores: 24, 24, 23, 20, 28 → average = 23.8 → round 24.
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Jets scores: 19, 20, 27, 24, 22 → average = 22.4 → round 22
Averaged model projection (mean of the five): — Miami 24, New York 22 (Total 46).
3) My independent analysis (data + methods)
A — Pythagorean check (expected win %)
I used the teams’ through-week-3 points for / against (Pro-Football-Reference team tables):
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NYJ: Points For = 69 (23.0/game), Points Against = 93 (31.0/g).
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MIA: Points For = 56 (18.7/g), Points Against = 97 (32.3/g).
Using the standard football Pythagorean exponent (~2.37) gives season expected win % (small-sample caveat — 3 games only):
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Jets Pythagorean expected win % ≈ 33.0%.
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Dolphins Pythagorean expected win % ≈ 21.4%.
Interpretation: both teams are underperforming offensively/defensively early; Pythagorean suggests Jets’ underlying numbers (69 PF) make them slightly better than Dolphins by this metric, but both defenses have given up a lot of points. (Because this is only three games, take it as directional not definitive.)
B — Strength of schedule (SOS)
Recent SOS rankings / projections show Miami’s 2025 slate is middle-to-easier (various SOS pages put Miami around the middle of the league for schedule difficulty), and the AFC East in general is not a brutal early slate — so no massive SOS edge — both teams have had comparable early opposition. That slightly favors Miami at home but is not decisive.
C — Injuries & availability (news cross-check)
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Justin Fields (NYJ) — cleared concussion protocol and will start Monday (returned to full practice). That materially improves the Jets’ offense compared to last week.
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Dolphins — good news: Darren Waller expected to make season debut; Tyreek Hill missed a practice day for personal reasons but is expected to play; De’Von Achane had a limited practice but was not ruled out on final report. So Miami’s offensive weapons should be mostly available.
D — Recent trends & context
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Both teams 0–3 — desperation factor on both sides. Miami at home in prime time has pressure; Jets as a road underdog in the division historically have some ATS value in similar spots (some models and trend pages note road underdogs in-division cover more often). Several model writers and pick sites tilt Dolphins narrowly but a number of national writers (SI roundup) actually pick Jets — this is a legitimately coin-flip match with small edges shifting to situational items (QB back, home crowd, Waller debut).
4) My game prediction (final)
Bringing together:
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averaged model projection → MIA 24 — NYJ 22 (models’ mean)
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Pythagorean numbers + Jets PF/PA and Fields returning (gives Jets uplift),
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Dolphins home edge, weapons mostly available, and CBS model pushing toward a higher combined total,
My independent final expected score for the game (my prediction) is:
→ Miami Dolphins 27, New York Jets 23 — Dolphins win by 4; final total = 50 → the Over (44.5) would hit.
Why that score: Fields returning improves NYJ scoring ceiling (pushes Jets toward the low-to-mid 20s) but Miami’s home speed/skill (Hill/Waller/Waddle + running help) and small home-field edge push Miami to mid-to-high 20s. Both defenses have been porous through three games, so I expect a higher game total than some models — roughly Dolphins by 3–5. (I’m using the Pythagorean check as a sanity filter — Jets’ Pythagorean season win % is better than Miami’s, telling me Jets are not a blowout mismatch; but news/in-season context tilts home team slightly.)
