2026 season · Week 2
Over Expected: who beat expectations in Week 2
Every game’s biggest overperformer and letdown against our pregame projection, live on game days, then the week’s leaders in fantasy points over expected (FPOE): points beyond what a league-average player scores with the same targets, carries and throws. Big FPOE weeks rarely repeat; the usage behind them does.
Updated Tue, Oct 6, 9:37 PM ET
Game by game
- DET DET31@BUF BUF41FinalBeat expectations+17.2
Amon-Ra St. BrownDETWR35.2 pts · proj 18.0 · 96th-percentile game
2 touchdowns on 13 touches
Letdown−13.8
DJ MooreBUFWR-0.1 pts · proj 13.7 · 5th-percentile game
Played 31% of snaps (projected 84%)
- CAR CAR34@ATL ATL3FinalBeat expectations+14.8
Darren WallerCARTE18.3 pts · proj 3.5 · 99th-percentile game
2 touchdowns on 3 touches
Letdown−13.2
Cooper RushATLQB-0.6 pts · proj 12.6 · 2nd-percentile game
17 pass attempts vs a projected 30
- NO NO24@BAL BAL17FinalBeat expectations+13.3
Rashod BatemanBALWR21.8 pts · proj 8.5 · 98th-percentile game
9 targets vs a projected 5 — Flowers out
- MIN MIN9@CHI CHI3FinalLetdown−11.1
Caleb WilliamsCHIQB7.7 pts · proj 18.8 · 10th-percentile game
15/26, 138 yds, 1 INT, 42 rush yds
- CIN CIN20@HOU HOU6FinalBeat expectations+15.9
Dalton SchultzHOUTE26.0 pts · proj 10.1 · 99th-percentile game
14 targets vs a projected 6 — Higgins out
- PIT PIT3@NE NE20FinalBeat expectations+6.8
Germie BernardPITWR7.5 pts · proj 0.7 · 99th-percentile game
8 targets vs a projected 0 — Pittman out
Letdown−11.0
Rhamondre StevensonNERB3.6 pts · proj 14.6 · 9th-percentile game
Played 36% of snaps (projected 65%)
- GB GB20@NYJ NYJ17FinalBeat expectations+7.2
Isaiah WilliamsNYJWR10.8 pts · proj 3.6 · 99th-percentile game
6 for 34 on 6 targets; 1 carry for 14
- CLE CLE23@TB TB19FinalBeat expectations+12.3
Denzel BostonCLEWR20.5 pts · proj 8.2 · 98th-percentile game
A 55-yard touchdown (5 for 95, 1 TD on 7 targets)
- PHI PHI24@TEN TEN20FinalBeat expectations+16.0
DeVonta SmithPHIWR27.7 pts · proj 11.7 · 99th-percentile game
13 targets vs a projected 7 — Goedert left early
Letdown−11.9
Saquon BarkleyPHIRB3.0 pts · proj 14.9 · 7th-percentile game
Played 16% of snaps (projected 73%)
- JAX JAX13@DEN DEN20FinalBeat expectations+13.7
Jonah ColemanDENRB14.8 pts · proj 1.1 · 99th-percentile game
10 carries vs a projected 1 — Harvey out
- LV LV26@LAC LAC14FinalBeat expectations+14.9
Cody WhiteLVWR16.4 pts · proj 1.5 · 99th-percentile game
2 touchdowns on 2 touches
Letdown−11.1
Justin HerbertLACQB7.9 pts · proj 18.9 · 10th-percentile game
2 interceptions (15/27, 192 yds, 1 TD, 2 INT)
- SEA SEA31@ARI ARI7FinalBeat expectations+22.6
Jaxon Smith-NjigbaSEAWR42.5 pts · proj 19.9 · 99th-percentile game
A 82-yard touchdown (9 for 155, 3 TD on 11 targets)
- WAS WAS20@DAL DAL37FinalBeat expectations+19.9
CeeDee LambDALWR35.3 pts · proj 15.4 · 99th-percentile game
2 touchdowns on 9 touches
Letdown−9.9
Javonte WilliamsDALRB8.0 pts · proj 17.9 · 15th-percentile game
No touchdown on 16 touches (12 carries for 30; 3 for 20 on 4 targets)
- MIA MIA13@SF SF35FinalBeat expectations+13.6
Ryan MillerMIAWR14.7 pts · proj 1.1 · 99th-percentile game
A 77-yard touchdown (1 for 77, 1 TD on 1 target)
- IND IND30@KC KC33FinalBeat expectations+15.2
Travis KelceKCTE25.1 pts · proj 9.9 · 99th-percentile game
11 targets vs a projected 5
Letdown−9.8
Alec PierceINDWR2.1 pts · proj 11.8 · 10th-percentile game
Played 26% of snaps (projected 82%)
- NYG NYG6@LAR LAR28FinalBeat expectations+24.8
Davante AdamsLARWR39.5 pts · proj 14.7 · 99th-percentile game
2 touchdowns on 10 touches
Letdown−15.2
Jaxson DartNYGQB0.8 pts · proj 16.0 · 2nd-percentile game
Played 12% of snaps (projected 94%)
Projections for weeks before kickoff snapshots began are the same model run as of that week from earlier games only (no live injury or depth inputs).
Week 2 leaderboard
Fantasy points minus our last projection before kickoff. The top and bottom of the list are shown; sort any column.
| Why | ||||
|---|---|---|---|---|
| 39.5 | 14.7 | +24.8 | 2 touchdowns on 10 touches | |
| 42.5 | 19.9 | +22.6 | A 82-yard touchdown (9 for 155, 3 TD on 11 targets) | |
| 35.3 | 15.4 | +19.9 | 2 touchdowns on 9 touches | |
| 35.2 | 18.0 | +17.2 | 2 touchdowns on 13 touches | |
| 40.8 | 23.8 | +17.1 | 11 carries vs a projected 6 | |
| 27.7 | 11.7 | +16.0 | 13 targets vs a projected 7 — Goedert left early | |
| 26.0 | 10.1 | +15.9 | 14 targets vs a projected 6 — Higgins out | |
| 25.1 | 9.9 | +15.2 | 11 targets vs a projected 5 | |
| 16.4 | 1.5 | +14.9 | 2 touchdowns on 2 touches | |
| 18.3 | 3.5 | +14.8 | 2 touchdowns on 3 touches | |
| 17.4 | 3.1 | +14.3 | 9 targets vs a projected 2 — Nacua out | |
| 22.9 | 8.8 | +14.1 | A 40-yard touchdown (5 for 119, 1 TD on 7 targets) | |
| 22.5 | 8.7 | +13.8 | 7 for 95, 1 TD on 8 targets | |
| 14.8 | 1.1 | +13.7 | 10 carries vs a projected 1 — Harvey out | |
| 14.7 | 1.1 | +13.6 | A 77-yard touchdown (1 for 77, 1 TD on 1 target) | |
| 21.8 | 8.5 | +13.3 | 9 targets vs a projected 5 — Flowers out | |
| 29.8 | 16.9 | +12.9 | 4 TD passes (26/38, 327 yds, 4 TD) | |
| 20.5 | 8.2 | +12.3 | A 55-yard touchdown (5 for 95, 1 TD on 7 targets) | |
| 21.8 | 9.9 | +11.9 | 10 targets vs a projected 6 | |
| 12.8 | 1.1 | +11.8 | 3 for 32, 1 TD on 3 targets; 1 carry for 6 | |
| 1.1 | 8.9 | −7.8 | 1 for 1 on 4 targets | |
| 8.5 | 16.5 | −8.0 | 3 for 55 on 6 targets | |
| 1.3 | 9.6 | −8.3 | Played 22% of snaps (projected 50%) | |
| 5.3 | 13.6 | −8.3 | 4 targets vs a projected 7 | |
| 4.0 | 12.4 | −8.5 | 23/39, 187 yds, 1 INT | |
| 1.3 | 9.9 | −8.6 | 1 for 3 on 3 targets | |
| 2.4 | 11.0 | −8.6 | 1 for 7 on 5 targets; 1 carry for 7 | |
| 11.1 | 20.1 | −9.0 | No touchdown on 20 touches (16 carries for 72; 3 for 9 on 4 targets) | |
| 8.0 | 17.2 | −9.1 | 2 carries vs a projected 5 | |
| 1.4 | 10.6 | −9.2 | Played 25% of snaps (projected 83%) | |
| 6.2 | 15.5 | −9.3 | 17/29, 189 yds, 1 INT | |
| 2.1 | 11.8 | −9.8 | Played 26% of snaps (projected 82%) | |
| 8.0 | 17.9 | −9.9 | No touchdown on 16 touches (12 carries for 30; 3 for 20 on 4 targets) | |
| 3.6 | 14.6 | −11.0 | Played 36% of snaps (projected 65%) | |
| 7.9 | 18.9 | −11.1 | 2 interceptions (15/27, 192 yds, 1 TD, 2 INT) | |
| 7.7 | 18.8 | −11.1 | 15/26, 138 yds, 1 INT, 42 rush yds | |
| 3.0 | 14.9 | −11.9 | Played 16% of snaps (projected 73%) | |
| -0.6 | 12.6 | −13.2 | 17 pass attempts vs a projected 30 | |
| -0.1 | 13.7 | −13.8 | Played 31% of snaps (projected 84%) | |
| 0.8 | 16.0 | −15.2 | Played 12% of snaps (projected 94%) |
Team defenses vs projection
Season-long scoring (DraftKings alongside). Points allowed leave out the opponent’s own return touchdowns and safeties, as ESPN and Yahoo score them.
| Defense | Pts | Proj | vs proj | DK | Line |
|---|---|---|---|---|---|
| CARCAR D/ST vs ATL | 23.0 | 6.3(2–11) | +16.7 | 26.0 | 3 sk · 3 INT · 2 FR · 1 TD · 3 PA |
| NENE D/ST vs PIT | 18.0 | 5.7(1–10) | +12.3 | 21.0 | 4 sk · 1 INT · 1 FR · 1 TD · 3 PA |
| MINMIN D/ST vs CHI | 14.0 | 4.9(0–10) | +9.1 | 17.0 | 4 sk · 1 INT · 1 FR · 1 BLK · 3 PA |
| LVLV D/ST vs LAC | 12.0 | 5.9(1–11) | +6.1 | 12.0 | 3 sk · 2 INT · 1 FR · 1 SFTY · 14 PA |
| NONO D/ST vs BAL | 8.0 | 4.2(-1–9) | +3.8 | 8.0 | 3 sk · 1 INT · 0 FR · 1 BLK · 17 PA |
| CINCIN D/ST vs HOU | 8.0 | 5.4(0–11) | +2.6 | 11.0 | 4 sk · 0 INT · 0 FR · 6 PA |
| TENTEN D/ST vs PHI | 7.0 | 4.8(0–10) | +2.2 | 7.0 | 3 sk · 2 INT · 0 FR · 24 PA |
| LARLAR D/ST vs NYG | 8.0 | 5.9(1–11) | +2.1 | 11.0 | 2 sk · 1 INT · 0 FR · 6 PA |
| PITPIT D/ST vs NE | 8.0 | 6.6(1–12) | +1.4 | 8.0 | 3 sk · 1 INT · 1 FR · 14 PA |
| DENDEN D/ST vs JAX | 7.0 | 5.7(1–11) | +1.3 | 8.0 | 2 sk · 1 INT · 0 FR · 13 PA |
| SFSF D/ST vs MIA | 7.0 | 6.8(2–12) | +0.2 | 8.0 | 4 sk · 0 INT · 0 FR · 13 PA |
| NYJNYJ D/ST vs GB | 5.0 | 4.8(0–10) | +0.2 | 6.0 | 3 sk · 0 INT · 1 FR · 20 PA |
| CLECLE D/ST vs TB | 5.0 | 4.9(0–10) | +0.1 | 6.0 | 3 sk · 1 INT · 0 FR · 19 PA |
| SEASEA D/ST vs ARI | 7.0 | 7.0(2–12.1) | 0.0 | 8.0 | 2 sk · 1 INT · 0 FR · 7 PA |
| NYGNYG D/ST vs LAR | 4.0 | 4.3(-1–9) | −0.3 | 4.0 | 1 sk · 1 INT · 1 FR · 28 PA |
| CHICHI D/ST vs MIN | 6.0 | 6.8(2–12) | −0.8 | 7.0 | 3 sk · 0 INT · 0 FR · 9 PA |
| GBGB D/ST vs NYJ | 5.0 | 5.8(1–11) | −0.8 | 5.0 | 4 sk · 0 INT · 0 FR · 17 PA |
| HOUHOU D/ST vs CIN | 5.0 | 6.2(2–12) | −1.2 | 6.0 | 5 sk · 0 INT · 0 FR · 20 PA |
| BUFBUF D/ST vs DET | 3.0 | 5.2(0–10) | −2.2 | 3.0 | 4 sk · 0 INT · 0 FR · 31 PA |
| LACLAC D/ST vs LV | 4.0 | 6.8(2–12) | −2.8 | 4.0 | 2 sk · 1 INT · 0 FR · 24 PA |
| DALDAL D/ST vs WAS | 2.0 | 4.9(0–10) | −2.9 | 3.0 | 0 sk · 0 INT · 1 FR · 20 PA |
| ARIARI D/ST vs SEA | 2.0 | 5.5(1–10) | −3.4 | 2.0 | 1 sk · 0 INT · 1 FR · 31 PA |
| JAXJAX D/ST vs DEN | 2.0 | 6.0(1–12) | −4.0 | 3.0 | 0 sk · 1 INT · 0 FR · 20 PA |
| INDIND D/ST vs KC | 1.0 | 5.0(0–10) | −4.0 | 1.0 | 2 sk · 0 INT · 0 FR · 33 PA |
| BALBAL D/ST vs NO | 3.0 | 7.2(2–13) | −4.2 | 3.0 | 3 sk · 0 INT · 0 FR · 24 PA |
| ATLATL D/ST vs CAR | 1.0 | 5.5(1–10) | −4.5 | 1.0 | 2 sk · 0 INT · 0 FR · 28 PA |
| PHIPHI D/ST vs TEN | 2.0 | 6.8(2–12) | −4.8 | 3.0 | 2 sk · 0 INT · 0 FR · 20 PA |
| KCKC D/ST vs IND | 1.0 | 6.0(1–11) | −5.0 | 1.0 | 0 sk · 1 INT · 0 FR · 30 PA |
| WASWAS D/ST vs DAL | -1.0 | 4.3(0–9) | −5.3 | -2.0 | 2 sk · 0 INT · 0 FR · 37 PA |
| TBTB D/ST vs CLE | 2.0 | 7.4(2–13) | −5.4 | 2.0 | 2 sk · 0 INT · 0 FR · 23 PA |
| DETDET D/ST vs BUF | -1.0 | 4.7(0–10) | −5.7 | -2.0 | 2 sk · 0 INT · 0 FR · 41 PA |
| MIAMIA D/ST vs SF | -3.0 | 4.6(-1–10) | −7.6 | -4.0 | 0 sk · 0 INT · 0 FR · 35 PA |
2026 season: over and under expected
Through Week 4, games with play-by-play only.
Scoring the most above what their usage usually produces (3+ games). History says about a quarter of that edge carries forward: sell-high candidates.
| 3 | 22.4 | 12.2 | +10.2 | Sell high | |
| 4 | 29.2 | 19.6 | +9.6 | Sell high | |
| 4 | 25.1 | 15.9 | +9.2 | Sell high | |
| 4 | 26.4 | 19.2 | +7.2 | Sell high | |
| 4 | 28.1 | 21.2 | +6.9 | Sell high | |
| 4 | 28.1 | 21.4 | +6.6 | Sell high | |
| 4 | 14.5 | 8.6 | +5.8 | Sell high | |
| 4 | 19.8 | 14.0 | +5.7 | Sell high | |
| 4 | 16.1 | 10.4 | +5.7 | Sell high | |
| 4 | 20.9 | 15.2 | +5.7 | Sell high | |
| 4 | 19.8 | 14.4 | +5.3 | Sell high | |
| 4 | 27.5 | 22.6 | +4.9 | Sell high | |
| 4 | 12.1 | 7.3 | +4.8 | Sell high | |
| 4 | 13.2 | 8.6 | +4.5 | Sell high | |
| 3 | 15.0 | 10.4 | +4.5 | Sell high | |
| 4 | 22.4 | 18.0 | +4.4 | Sell high | |
| 3 | 14.8 | 10.6 | +4.3 | Sell high | |
| 4 | 14.3 | 10.2 | +4.2 | Sell high | |
| 4 | 29.0 | 24.8 | +4.2 | Sell high | |
| 3 | 8.1 | 4.0 | +4.1 | Sell high | |
| 4 | 11.2 | 7.2 | +4.1 | Sell high | |
| 4 | 22.7 | 18.8 | +4.0 | Sell high | |
| 4 | 19.3 | 15.3 | +4.0 | Sell high | |
| 3 | 12.7 | 8.9 | +3.7 | Sell high | |
| 3 | 17.4 | 13.8 | +3.6 | Sell high |
Next: Ascension (rising usage) · Waiver wire · Projections
How this works
vs projection compares his fantasy points with the last projection we published before his game kicked off (mean, with the 10th–90th percentile range). While a game is on, the projection is scaled by the share of the game played, by quarter and clock.
Expected points (xFP) come from our own play-level model fitted on 2023–25 play-by-play: each target is valued by its air yards, field position and down, each carry by field position, down and whether it was a scramble, each pass attempt by air yards and field position. On 2024–25 games it was not fitted on, xFP averaged within 1–6% of actual points at every position and correlated 0.98 with ffopportunity’s public model.
FPOE = points − xFP. Across 2023–25 it barely carried from one week to the next (r = 0.05) while expected points did (r = 0.34): treat a big FPOE as regression risk, and big usage with a negative FPOE as a buy-low.
Sources: nflverse play-by-play and weekly stats, ESPN box scores (live)Updated Tue, Oct 6, 9:37 PM ET
Frequently asked questions
What does “over expected” mean here?
Two things. Versus projection: his fantasy points minus our pregame projection (the last one made before his game kicked off). Versus opportunity, or FPOE: his points minus what a league-average player scores with the same targets, carries and pass attempts from the same spots on the field (expected fantasy points, xFP).
Should I chase a big FPOE week?
Usually not. Across 2023–25 a player’s FPOE one week had almost no relationship with the next (correlation 0.05), and only about a quarter of a half-season’s FPOE carried into the second half. A big positive FPOE is a sell-high signal; a big negative FPOE with heavy usage is a buy-low. Expected points from usage hold up far better (week-to-week correlation 0.34).
What is the “pace” number during games?
While a game is on, his projection is scaled by how much of the game has been played (by quarter and clock), so a receiver with 12 points at halftime is compared with half of his projection. It is a rough guide: usage is not spread evenly across a game. Final numbers replace it after the game.
When do the final numbers land?
Live numbers come from box scores every 15 minutes during games. Expected points need play-by-play, which nflverse publishes the morning after; FPOE and the final leaderboard update then (Monday night games on Tuesday).