WRs vs New York Giants
As of Week 16 · through 1 game · PPR
WR3 = the third-highest-scoring WR against Giants in each game, not a fixed depth-chart spot.
| Wk | Team | Player | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|
| 1 |  DAL | Ryan Flournoy | 4 | 2 | 22 | 0 | 4.2 |
| Average | 4.0 | 2.0 | 22.0 | 0.0 | 4.2 | ||
| Median | 4.0 | 2.0 | 22.0 | 0.0 | 4.2 | ||
| High | 4 | 2 | 22 | 0 | 4.2 | ||
| Low | 4 | 2 | 22 | 0 | 4.2 | ||
Averages are raw, outliers are never removed.
How Jameson Williams should do vs the GiantsSeason log, the group you pick, and a projection
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 Jameson Williams 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 Jameson Williams 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 Jameson Williams's own average: green means the defense gives that slot more than Jameson Williams usually produces.
Projected is Jameson Williams'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 | NO | 9 | 4 | 45 | 0 | 8.5 |
| 2 | BUF | 4 | 2 | 33 | 0 | 5.3 |
| Williams avg | 6.5 | 3.0 | 39.0 | 0.0 | 6.9 | |
| Giants WR3 avg | 4.0 | 2.0 | 22.0 | 0.0 | 4.2 | |
| Difference | -2.5 | -1.0 | -17.0 | +0.0 | -2.7 | |
| Projected as WR3 | 6.4 | 2.9 | 38.2 | 0.0 | 9.6 | |
Difference is what the defense allows minus what Williams averages (green = defense gives up more). Projected stats scale the player's averages by the matchup adjustment, so they are a rough guide.
Start / Sit · Jameson WilliamsLow confidence · 9.1 proj ptsFlex
Jameson Williams usually plays as the team's WR2, so the verdict uses the WR2 numbers, not the slot selected above.
- Jameson Williams averages 6.9 PPR points over 2 games (recent-weighted 6.7) and has played as the team's WR2.
- The Giants have allowed 5.8 points to WR2s over 1 game (-30% vs league). The model applies 25% of that gap because the sample is small, giving a -8% adjustment.
- Last season's average (12.9) is blended in at 50% weight because this season's sample is small.
- Projection: 9.1 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.
Prediction & chance to scoreJameson Williams vs the Giants
Prediction for Jameson Williams
Nobody knows which slot Jameson Williams 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 9.1 points for Jameson Williams if playing as a WR2. Jameson Williams has averaged 6.9 over 2 games, and the Giants have given up 5.8 to WR2s (-30% vs the league average of 8.3).
How this projection is built
1. The player. Jameson Williams scored: Wk 1 8.5, Wk 2 5.3. Average 6.9; weighted toward recent games it is 9.8.
2. The defense. Over 1 game, the Giants allowed 5.8 points to their opponent's WR2. The league average for that slot is 8.3, so that is -30%.
3. Trusting small samples less. With 1 defensive game, only 25% of the gap is applied, capped at +/-30%. That gives a -8% adjustment (x0.92).
4. Result. 9.8 x 0.92 = 9.1. 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 Jameson Williams is to reach it as a WR2.
Why this percentage?
The projection (9.1) 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 5.5 points, leaning on Jameson Williams'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 9.
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%.
InsightsPlain-English takeaways from the table
- WR3s have averaged 2.0 receptions, 22.0 receiving yards and 0.0 receiving TDs against the Giants across 1 game.
- The Giants allow 4.2 PPR points to WR3s, -8% versus the league average of 4.6 (ranked 19 of 32, where 1 is most generous). That is a near-average matchup.
- WR3s scored a touchdown in 0 of 1 games (0%).
- 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.