Week 2 · Mon, 8:15 PM EDT · ESPN/ABC
New York Giants at Los Angeles Rams
SoFi Stadium, Inglewood, CA
Market line for comparison: LAR -7 · O/U 47.5 (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.
New York Giants
| Input | Rating | Weight | Contribution |
|---|---|---|---|
Elo from results 4-13 in 2025, opponent-adjusted | 1482 | 80% | 1185.6 |
Scoring strength 381–439 points (-58.0 differential) → 41.7% expected win rate | 1442 | 5% | 72.1 |
Late-season form same replay with the closing 6 weeks counted double | 1513 | 15% | 227.0 |
Offense / defense split 22.4 PPG scored, 25.8 allowed → offense 1485, defense 1430 | 1415 | 0% | 0.0 |
| Blended 2025 rating | 1484.6 | ||
Offseason regression 25% back toward the 1500 league mean | 1488.5 | ||
Roster / QB adjustment No offseason adjustment applied. | 0.0 | ||
| NYG 2026 starting rating | 1488 | ||
Los Angeles Rams
| Input | Rating | Weight | Contribution |
|---|---|---|---|
Elo from results 12-5 in 2025, opponent-adjusted | 1568 | 80% | 1254.8 |
Scoring strength 518–346 points (+172.0 differential) → 72.2% expected win rate | 1666 | 5% | 83.3 |
Late-season form same replay with the closing 6 weeks counted double | 1568 | 15% | 235.2 |
Offense / defense split 30.5 PPG scored, 20.4 allowed → offense 1686, defense 1567 | 1753 | 0% | 0.0 |
| Blended 2025 rating | 1573.3 | ||
Offseason regression 25% back toward the 1500 league mean | 1555.0 | ||
Roster / QB adjustment No offseason adjustment applied. | 0.0 | ||
| LAR 2026 starting rating | 1555 | ||
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−(4.8 / 400))
50.7% LAR
Model spread
4.8 ÷ 25, rounded to the nearest half point
LAR 0.0
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
55.6%
LAR by 1.5
Injury term
−34.3 Elo
−1.4 pts of spread, home perspective
After injuries
50.7%
LAR by 0.0 · moved 4.9 pts of probability
New York Giants
−0.6 pts
- Marcus Mbow OTOut−0.10
- Greg Newsome II CBOut−0.10
- Jevon Holland SOut−0.10
- Theo Johnson TEOut−0.10
Los Angeles Rams
−0.5 pts
- Kobie Turner DEOut−0.10
- Myles Garrett DEOut−0.10
- Poona Ford DTOut−0.10
- Terrance Ferguson TEOut−0.10
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
55.6% LAR
Model value
Model spread
LAR -1.5
Elo diff +39.1 · 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
- 1482.0
- Regress 25% toward 1500
- +6.5
- 2026 starting rating
- 1488.5
2025 Elo trail
Biggest swings
- W 34–17 vs PHI+52.9
- W 34–10 at LV+46.7
- W 34–17 vs DAL+41.6
- 2025 final rating
- 1568.5
- Regress 25% toward 1500
- −13.5
- 2026 starting rating
- 1555.0
2025 Elo trail
Biggest swings
- W 35–7 at JAX+43.8
- W 42–26 at SF+35.5
- W 33–19 at TEN+35.3
Matchup factors
Everything beyond the two base ratings that moved this specific number.
Home field
+25.0 pts
worth 3.6 points of win probability
LAR hosts at SoFi Stadium. Every host gets the same flat 25 points — the model does not rate crowds individually.
Rest
+15.0 pts
worth 2.2 points of win probability
5 Elo points per extra day of rest, capped at 25 either way.
2025 head to head
These teams did not meet in 2025. Past meetings carry no weight in the model anyway — they are already baked into each team's rating.
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.
1494
average opponent rating · 24th toughest of 32
- vs above-average teams
- 2-7
- vs below-average teams
- 2-6
1510
average opponent rating · 6th toughest of 32
- vs above-average teams
- 6-4
- vs below-average teams
- 6-1
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.