Week 5 · Sun, 1:00 PM EDT · CBS
Cleveland Browns at New York Jets
MetLife Stadium, East Rutherford, NJ
Market line for comparison: NYJ -2.5 · O/U 39.5 (DraftKings). The model never sees this.
Rating inputs
Each starting rating is a weighted blend of five real football inputs, not just wins and losses. Every term below is measured from the 2025 season.
Cleveland Browns
| Input | Rating | Weight | Contribution |
|---|---|---|---|
Elo from results 5-12 in 2025, opponent-adjusted | 1477 | 80% | 1181.3 |
Scoring strength 279–379 points (-100.0 differential) → 32.6% expected win rate | 1374 | 5% | 68.7 |
Late-season form same replay with the closing 6 weeks counted double | 1505 | 15% | 225.8 |
Offense / defense split 16.4 PPG scored, 22.3 allowed → offense 1335, defense 1518 | 1353 | 0% | 0.0 |
| Blended 2025 rating | 1475.8 | ||
Offseason regression 25% back toward the 1500 league mean | 1481.8 | ||
Roster / QB adjustment No offseason adjustment applied. | 0.0 | ||
| CLE 2026 starting rating | 1482 | ||
New York Jets
| Input | Rating | Weight | Contribution |
|---|---|---|---|
Elo from results 3-14 in 2025, opponent-adjusted | 1373 | 80% | 1098.6 |
Scoring strength 300–503 points (-203.0 differential) → 22.7% expected win rate | 1287 | 5% | 64.4 |
Late-season form same replay with the closing 6 weeks counted double | 1324 | 15% | 198.6 |
Offense / defense split 17.6 PPG scored, 29.6 allowed → offense 1366, defense 1336 | 1201 | 0% | 0.0 |
| Blended 2025 rating | 1361.6 | ||
Offseason regression 25% back toward the 1500 league mean | 1396.2 | ||
Roster / QB adjustment No offseason adjustment applied. | 0.0 | ||
| NYJ 2026 starting rating | 1396 | ||
The calculation
Every term the model applies, in order, from both teams' starting ratings to the number on the card.
Win probability
1 / (1 + 10−(-108.0 / 400))
65.1% CLE
Model spread
-108.0 ÷ 25, rounded to the nearest half point
CLE -4.5
Confidence band
Injury adjustment
Report pulled 2026-10-27 13:20 UTCRatings describe a team over a whole season. Who is actually available on Sunday is a separate question, so the injury adjustment is applied last, after home field and rest. Each listed player costs a share of a point of spread based on his position, whether he starts, and how likely he is to play.
Before injuries
63.9%
CLE by 4.0
Injury term
−9.0 Elo
−0.4 pts of spread, home perspective
After injuries
65.1%
CLE by 4.5 · moved 1.2 pts of probability
Cleveland Browns
−0.3 pts
- Teven Jenkins GOut−0.10
- Mike Hall Jr. DTOut−0.10
- Myles Harden CBQuestionable−0.03
- Tytus Howard OTQuestionable−0.03
New York Jets
−0.3 pts
- Kiko Mauigoa LBOut−0.10
- Dylan Parham GQuestionable−0.03
- Max Mitchell OTQuestionable−0.03
- Kene Nwangwu RBQuestionable−0.03
Statuses come straight from the league injury report: out and injured reserve count in full, doubtful three quarters, questionable roughly a third, probable a tenth. Starters are identified from the depth chart; anyone the model cannot place is treated as a backup.
Move the factors yourself
Every term feeds one number: the adjusted Elo difference. Drag any of them and watch the spread and confidence follow.
Drag to see how much a stronger or weaker host changes the call.
The two ratings only matter through their difference.
The tuned value is a flat 25 points for every host.
5 Elo per extra day of rest, capped at 25 either way.
A manual thumb on the scale, in the home team's direction.
Win probability
63.9% CLE
Model value
Model spread
CLE -4.0
Elo diff −99.0 · Lean
Probability curve
The logistic curve from −600 to +600 Elo, home perspective. The dot is your current setting; the faint vertical line is where the model itself sits. Notice the curve is flattest at the extremes — near a coin flip, every point of Elo moves the number most.
Where the ratings came from
Each rating is the end state of a full 2025 season of Elo updates, regressed toward the league mean for the new season.
- 2025 final rating
- 1476.6
- Regress 25% toward 1500
- +5.2
- 2026 starting rating
- 1481.8
2025 Elo trail
Biggest swings
- W 31–6 vs MIA+44.1
- L 17–41 at BAL−41.1
- W 13–6 vs PIT+40.9
- 2025 final rating
- 1373.3
- Regress 25% toward 1500
- +22.9
- 2026 starting rating
- 1396.2
2025 Elo trail
Biggest swings
- L 10–30 vs BUF−42.9
- L 10–34 vs MIA−39.8
- L 22–37 vs DAL−37.1
Matchup factors
Everything beyond the two base ratings that moved this specific number.
Home field
+25.0 pts
worth 3.2 points of win probability
NYJ hosts at MetLife Stadium. Every host gets the same flat 25 points — the model does not rate crowds individually.
Rest
−15.0 pts
worth 2.0 points of win probability
5 Elo points per extra day of rest, capped at 25 either way.
2025 head to head
- Week 10: NYJ won 27–20 (NYJ at home)
Strength of schedule
Who each team actually played in 2025, measured by their opponents' current ratings. This is context for reading the ratings — it is not an input to the prediction above, because beating good teams already raises a team's Elo more.
1499
average opponent rating · 17th toughest of 32
- vs above-average teams
- 1-8
- vs below-average teams
- 4-4
1518
average opponent rating · 3rd toughest of 32
- vs above-average teams
- 1-9
- vs below-average teams
- 2-5
What the model does not know
- · How an injury actually plays out — the adjustment above prices availability, not how well a replacement performs.
- · Coaching and roster turnover between seasons.
- · Weather, travel distance and short-week fatigue beyond raw rest days.
- · Anything a betting market has priced in since the season ended.