WRs vs New York Giants
As of Week 17 · through 1 game · PPR
Showing the three highest-scoring WRs from each game.
| Wk | Team | Player | Slot | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|
| 1 |  DAL | CeeDee Lamb | WR1 | 8 | 5 | 44 | 1 | 15.4 |
| George Pickens | WR2 | 6 | 3 | 28 | 0 | 5.8 | ||
| Ryan Flournoy | WR3 | 4 | 2 | 22 | 0 | 4.2 | ||
| Average | 6.0 | 3.3 | 31.3 | 0.3 | 8.5 | |||
| Median | 6.0 | 3.0 | 28.0 | 0.0 | 5.8 | |||
| High | 8 | 5 | 44 | 1 | 15.4 | |||
| Low | 4 | 2 | 22 | 0 | 4.2 | |||
Averages are raw, outliers are never removed.
Prediction for CeeDee Lamb
Nobody knows which slot CeeDee Lamb will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Giants.
I predict about 20.5 points for CeeDee Lamb if playing as a WR1. CeeDee Lamb has averaged 25.3 over 2 games, and the Giants have given up 15.4 to WR1s (-9% vs the league average of 17.0).
How this projection is built
1. The player. CeeDee Lamb scored: Wk 1 15.4, Wk 2 35.3. Average 25.3; weighted toward recent games it is 21.0.
2. The defense. Over 1 game, the Giants allowed 15.4 points to their opponent's WR1. The league average for that slot is 17.0, so that is -9%.
3. Trusting small samples less. With 1 defensive game, only 25% of the gap is applied, capped at +/-30%. That gives a -2% adjustment (x0.98).
4. Result. 21.0 x 0.98 = 20.5. Switching slots only changes step 2 and 3: the player's own numbers stay the same, but each slot faces a different defensive average.
It is a statistical model, not knowledge of injuries, game script or weather.
Chance to score
Type a point total to see how likely CeeDee Lamb is to reach it as a WR1.
Why this percentage?
The projection (20.5) is the middle of the range. Fantasy scores swing a lot from game to game, so the model spreads possible scores around it by about 12.3 points, leaning on CeeDee Lamb's own game-to-game swings once there are several games (and on typical WR swings before that).
Scores are modelled as right-skewed, since a big game is possible but a very negative one is not. The percentage is the share of that spread at or above 20.
With only 2 games of history, treat this as a rough gauge. It gets sharper as the season goes on. It is never lower than 1% or higher than 99%.
Insights
- top-3 WRs have averaged 3.3 receptions, 31.3 receiving yards and 0.3 receiving TDs per player-game against the Giants across 1 game.
- The Giants allow 25.4 PPR points to the position per game, -15% versus the league average of 29.8 (ranked 22 of 32, where 1 is most generous). That is a tough matchup.
- Outlier: Week 1, CeeDee Lamb (15.4 pts) sits far above the other games and pulls the averages up. Average with it vs without it: pts 8.5 vs 5.0. The table above keeps the raw averages.
- Outlier: Week 1, Ryan Flournoy (4.2 pts) sits far below the other games and drags the averages down. Average with it vs without it: pts 8.5 vs 10.6. The table above keeps the raw averages.
- 1 of 3 player-games reached 10+ PPR points. Scores range from 4.2 to 15.4 (median 5.8).
- top-3 WRs scored a touchdown in 1 of 3 player-games (33%).
- Small sample: only 1 game so far. Treat these numbers as directional, not settled.
Insights are generated by rules from the table above and recalculate every week.
What do these columns mean?
- Wk
- Week of the season
- Tgt
- Targets (passes thrown to the player)
- Rec
- Receptions
- ReYd
- Receiving yards
- ReTD
- Receiving touchdowns
- Car
- Carries (rushing attempts)
- RuYd
- Rushing yards
- RuTD
- Rushing touchdowns
- Cmp / Att
- Completions and pass attempts
- PaYd / PaTD
- Passing yards and touchdowns
- INT
- Interceptions thrown
- FGM / FGA
- Field goals made and attempted
- FPts
- Fantasy points in your scoring format
- Sck / TO
- Defense: sacks and takeaways
- PA
- Points allowed by a defense
- G
- Games in the sample
- vs Lg
- Percent above or below the league average
CeeDee Lamb usually plays as the team's WR1, so the verdict uses the WR1 numbers, not the slot selected above.
- CeeDee Lamb averages 25.3 PPR points over 2 games (recent-weighted 26.5) and has played as the team's WR1.
- The Giants have allowed 15.4 points to WR1s over 1 game (-9% vs league). The model applies 25% of that gap because the sample is small, giving a -2% adjustment.
- Last season's average (15.5) is blended in at 50% weight because this season's sample is small.
- Projection: 20.5 points.
- For reference, a typical weekly starter-level WR scores about 11.8 and a top-tier one about 20.8.
- Confidence is low: too few games for either the player or the defense. Use this as a rough lean, not a lock.
- A statistical model from box scores, Vegas lines, weather and injury tags. It cannot see role changes or in-game events.
CeeDee Lamb's stats vs the Giants
Season so far, compared with what the group you pick below has done against the Giants, plus a projection for this game.
What is this table?
Rows at the top are every game CeeDee Lamb has played this season, using the same stat columns as the table above.
Compare against picks which group of Giants opponents to line them up with: the best WR they faced in each game (1), the second best (2), the third best (3), or all of the top three. Nobody knows which slot CeeDee Lamb will land in this week, so this is your call, not a guess.
Giants avg is the average line of that group. Difference is that minus CeeDee Lamb's own average: green means the defense gives that slot more than CeeDee Lamb usually produces.
Projected is CeeDee Lamb's recent-weighted average scaled by how generous the Giants were to the slot you picked. Change the slot and the projected points change, because each slot has a different matchup adjustment. Picking Top 3 uses the usual-role projection.
| Wk | Opp | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|
| 1 | NYG | 8 | 5 | 44 | 1 | 15.4 |
| 2 | WAS | 9 | 8 | 153 | 2 | 35.3 |
| Lamb avg | 8.5 | 6.5 | 98.5 | 1.5 | 25.3 | |
| Giants Top 3 avg | 6.0 | 3.3 | 31.3 | 0.3 | 8.5 | |
| Difference | -2.5 | -3.2 | -67.2 | -1.2 | -16.9 | |
| Projected | 8.3 | 6.4 | 96.2 | 1.5 | 20.5 | |
Difference is what the defense allows minus what Lamb averages (green = defense gives up more). Projected stats scale the player's averages by the matchup adjustment, so they are a rough guide.