Every projection is saved before kickoff and never edited. Each week we compare all of them with what happened, and with the simplest alternative: the player's season average.
Week by week: are we getting better?
Season to date, Weeks 4-9: 551 players projected for 10+ PPR points with a season average to compare
Season to date our projections were 6.8% closer than simply using each player's season average (6.4 against 6.9 PPR points off on a typical player).
Week
Players
Our miss (PPR pts)
Average guess (PPR pts)
Closer
Week 4 (model run before kickoff)
85
6.6
7.5
11.8%
Week 5 (model run before kickoff)
96
7.4
8.1
8.9%
Week 6 (model run before kickoff)
91
5.6
6.1
9.0%
Week 7
96
6.1
6.4
4.1%
Week 8
89
6.8
7.2
6.4%
Week 9
94
6.1
6.0
-0.7%
Season to date (Weeks 4-9)
551
6.4
6.9
6.8%
Week 7 on (graded on the numbers readers saw)
279
6.3
6.5
3.4%
Weeks 4-6 show the model run before kickoff, which can differ a little from the numbers readers saw (those were not saved before Week 7). From Week 7 every week is graded on the projections readers saw.
Missed points by position
Average miss in PPR points per player. Top bar: our projection. Bottom bar: simply using the player's season average.
Scorecard · Week 9
Week 9: where we were closest, and where we missed
Our closest calls at each position among the 95 players we projected for 10+ PPR points, and the biggest misses, so you can judge for yourself.
Quarterbacks
Daniel Jones QB · IND — Daniel Jones: projected 11 points, scored 10.3.
Bo Nix QB · DEN — Bo Nix: projected 15 points, scored 15.7.
Michael Penix Jr. QB · ATL — Michael Penix Jr.: projected 13 points, scored 13.5.
Also notable: Jordan Love (biggest miss: 17.8 projected, 36.2 scored) and C.J. Stroud (biggest miss: 17.6 projected, 35.4 scored).
For all 95 players we projected for 10+ PPR points, our projection missed by 6.0 points on a typical player. On the 94 of them with a season average to compare, simply using that average would have missed by 6.0 and ours by 6.1: our projections were 1% further off.
Graded on the projections readers saw.
Closer than the season average
-1%
6.1 vs 6.0 points, on the 94 players with a season average to compare
Within 7 points
71 of 95
within 5: 45 of 95
Did the ranking work?
Yes
Players we ranked higher scored 6.7 more points on average (17.0 vs 10.3).
For all 90 players we projected for 10+ PPR points, our projection missed by 6.8 points on a typical player. On the 89 of them with a season average to compare, simply using that average would have missed by 7.2 and ours by 6.8: our projections were 6% closer.
Graded on the projections readers saw.
Closer than the season average
6%
6.8 vs 7.2 points, on the 89 players with a season average to compare
Within 7 points
57 of 90
within 5: 41 of 90
Did the ranking work?
Yes
Players we ranked higher scored 5.6 more points on average (16.9 vs 11.3).
For all 97 players we projected for 10+ PPR points, our projection missed by 6.1 points on a typical player. On the 96 of them with a season average to compare, simply using that average would have missed by 6.4 and ours by 6.1: our projections were 4% closer.
Graded on the projections readers saw.
Closer than the season average
4%
6.1 vs 6.4 points, on the 96 players with a season average to compare
Within 7 points
59 of 97
within 5: 46 of 97
Did the ranking work?
Yes
Players we ranked higher scored 3.3 more points on average (16.4 vs 13.1).
For all 91 players we projected for 10+ PPR points, our projection missed by 5.5 points on a typical player. On the 91 of them with a season average to compare, simply using that average would have missed by 6.1 and ours by 5.6: our projections were 9% closer.
This week shows the model run before kickoff, which can differ a little from the numbers readers saw.
Closer than the season average
9%
5.6 vs 6.1 points, on the 91 players with a season average to compare
Within 7 points
64 of 91
within 5: 47 of 91
Did the ranking work?
Yes
Players we ranked higher scored 5.1 more points on average (15.9 vs 10.8).
For all 95 players we projected for 10+ PPR points, our projection missed by 7.4 points on a typical player. On the 96 of them with a season average to compare, simply using that average would have missed by 8.1 and ours by 7.4: our projections were 9% closer.
This week shows the model run before kickoff, which can differ a little from the numbers readers saw.
Closer than the season average
9%
7.4 vs 8.1 points, on the 96 players with a season average to compare
Within 7 points
56 of 95
within 5: 34 of 95
Did the ranking work?
Yes
Players we ranked higher scored 5.9 more points on average (18.8 vs 12.9).
For all 89 players we projected for 10+ PPR points, our projection missed by 6.7 points on a typical player. On the 85 of them with a season average to compare, simply using that average would have missed by 7.5 and ours by 6.6: our projections were 12% closer.
This week shows the model run before kickoff, which can differ a little from the numbers readers saw.
Closer than the season average
12%
6.6 vs 7.5 points, on the 85 players with a season average to compare
Within 7 points
53 of 89
within 5: 40 of 89
Did the ranking work?
Yes
Players we ranked higher scored 5.2 more points on average (17.7 vs 12.5).
A typical fantasy-relevant player scores about 12–16 PPR points, and the same player can score 6 one week and 25 the next. A miss of 5–7 points is normal for any single-game projection, ours or anyone's.
Most of the miss is touchdowns and long plays. Even if we had known every player's exact targets and carries in advance, our past-season tests still miss by about 4.7–5.6 points.
Over four past seasons our typical miss for this group was 5.9–6.5 points. One week is a small sample: the season record is what counts.
Where we add the most is usage (targets and carries) and the order of players: who should outscore whom. That is what start/sit decisions need.
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