RBs vs Baltimore Ravens
As of Week 8 · through 2 games · PPR
Showing every RB who had a role in each game.
| Wk | Team | Player | Slot | Car | RuYd | RuTD | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  IND | Jonathan Taylor | RB1 | 19 | 98 | 2 | 4 | 3 | 23 | 0 | 25.1 |
| Seth McGowan | RB2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1.0 | ||
| 2 |  NO | Alvin Kamara | RB1 | 9 | 15 | 0 | 6 | 5 | 7 | 0 | 7.2 |
| Travis Etienne | RB2 | 8 | 25 | 0 | 2 | 2 | 6 | 0 | 7.1 | ||
| CJ Donaldson | RB3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0.2 | ||
| Average | 7.4 | 28.0 | 0.4 | 2.6 | 2.2 | 7.2 | 0.0 | 8.1 | |||
| Median | 8.0 | 15.0 | 0.0 | 2.0 | 2.0 | 6.0 | 0.0 | 7.1 | |||
| High | 19 | 98 | 2 | 6 | 5 | 23 | 0 | 25.1 | |||
| Low | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | |||
Averages are raw, outliers are never removed.
How Ray Davis should do vs the RavensSeason log, the group you pick, and a projection
Season so far, compared with what the group you pick below has done against the Ravens, plus a projection for this game.
What is this table?
Rows at the top are every game Ray Davis has played this season, using the same stat columns as the table above.
Compare against picks which group of Ravens opponents to line them up with: the best RB they faced in each game (1), the second best (2), the third best (3), or all of the top three. Nobody knows which slot Ray Davis will land in this week, so this is your call, not a guess.
Ravens avg is the average line of that group. Difference is that minus Ray Davis's own average: green means the defense gives that slot more than Ray Davis usually produces.
Projected is Ray Davis's recent-weighted average scaled by how generous the Ravens 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 | Car | RuYd | RuTD | Tgt | Rec | ReYd | ReTD | FPts |
|---|---|---|---|---|---|---|---|---|---|
| 1 | HOU | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0.3 |
| Davis avg | 1.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | |
| Ravens All avg | 7.4 | 28.0 | 0.4 | 2.6 | 2.2 | 7.2 | 0.0 | 8.1 | |
| Difference | +6.4 | +25.0 | +0.4 | +2.6 | +2.2 | +7.2 | +0.0 | +7.8 | |
| Projected | 0.9 | 2.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.9 | |
Difference is what the defense allows minus what Davis 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 · Ray DavisMedium confidence · 2.9 proj ptsSit
Ray Davis usually plays as the team's RB2, so the verdict uses the RB2 numbers, not the slot selected above.
- Ray Davis averages 0.3 PPR points over 1 game (recent-weighted 0.3) and has played as the team's RB2.
- The Ravens have allowed 4.0 points to RB2s over 2 games (-15% vs league). The model applies 40% of that gap because the sample is small, giving a -6% adjustment.
- Last season's average (4.5) is blended in at 67% weight because this season's sample is small.
- Projection: 2.9 points.
- For reference, a typical weekly starter-level RB scores about 12.2 and a top-tier one about 20.0.
- A statistical model from box scores, Vegas lines, weather and injury tags. It cannot see role changes or in-game events.
Prediction & chance to scoreRay Davis vs the Ravens
Prediction for Ray Davis
Nobody knows which slot Ray Davis will land in this week, so pick the one you expect. The projection changes because each slot faces a different average from the Ravens.
I predict about 2.9 points for Ray Davis if playing as a RB2. Ray Davis has averaged 0.3 over 1 game, and the Ravens have given up 4.0 to RB2s (-15% vs the league average of 4.8).
How this projection is built
1. The player. Ray Davis scored: Wk 1 0.3. Average 0.3; weighted toward recent games it is 3.1.
2. The defense. Over 2 games, the Ravens allowed 4.0 points to their opponent's RB2. The league average for that slot is 4.8, so that is -15%.
3. Trusting small samples less. With 2 defensive games, only 40% of the gap is applied, capped at +/-30%. That gives a -6% adjustment (x0.94).
4. Result. 3.1 x 0.94 = 2.9. 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 Ray Davis is to reach it as a RB2.
Why this percentage?
The projection (2.9) 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 1.7 points, leaning on Ray Davis's own game-to-game swings once there are several games (and on typical RB 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 3.
With only 1 game 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
- all RBs have averaged 7.4 carries, 28.0 rushing yards and 2.2 receptions per player-game against the Ravens across 2 games.
- The Ravens allow 20.3 PPR points to the position per game, -4% versus the league average of 21.0 (ranked 17 of 32, where 1 is most generous). That is a near-average matchup.
- Outlier: Week 1, Jonathan Taylor (25.1 pts, 19 car, 98 rush yds) sits far above the other games and pulls the averages up. Average with it vs without it: pts 8.1 vs 3.9; car 7.4 vs 4.5; rush yds 28.0 vs 10.5. The table above keeps the raw averages.
- Outlier: Week 1, Seth McGowan (1.0 pts, 0 car, 0 rush yds) sits far below the other games and drags the averages down. Average with it vs without it: pts 8.1 vs 9.9; car 7.4 vs 9.3; rush yds 28.0 vs 35.0. The table above keeps the raw averages.
- 1 of 5 player-games reached 10+ PPR points. Scores range from 0.2 to 25.1 (median 7.1).
- all RBs scored a touchdown in 1 of 5 player-games (20%).
- Small sample: only 2 games so far. Treat these numbers as directional, not settled.
Insights are generated by rules from the table above and recalculate every week.