Graded · 2 contests · 15,282 entries

NBA Oct 20 FanDuel ownership: PHI @ NY Single Game

What the field actually played on the NBA Tue Oct 20 FanDuel PHI @ NY Single Game, next to what we projected before lock. Our misses are shown in full.

October 20, 2026 · Updated October 20, 2026 · After The Timeout

1 game · showdown

The slate at a glance

Sport
NBA
Site
FanDuel
Format
Showdown (single game)
Games
1
Teams
NY, PHI
First lock
Tue Oct 20, 7:00 PM ET
Player pool
36 players
Projections
Captured Tue Oct 20, 6:37 PM ET, before lock

Top 12 by real ownership

The chalk: who the field played most

Field ownership is the share of lineups that used each player, from 2 large-field tournament contests, 15,282 entries. Gap is the field minus our projection: green means the field played him more than we expected.

Ours vs the field, 2 large-field tournament contests, 15,282 entries
PlayerPosOursFieldGap
Karl-Anthony TownsNYC58.1%73.9%+15.8
Josh HartNYSF/PF13.2%65.8%+52.7
Mikal BridgesNYSF/SG7.5%61.7%+54.2
Jaylen BrownPHISF59.6%59.6%−0.1
Joel EmbiidPHIC100.0%54.5%−45.5
Jalen BrunsonNYPG87.2%51.9%−35.4
OG AnunobyNYPF/SF16.2%50.5%+34.3
LeBron JamesPHIPF47.4%37.0%−10.4
Andre DrummondNYC0.3%29.1%+28.8
Tyrese MaxeyPHIPG100.0%26.1%−73.9
VJ EdgecombePHISG24.6%24.0%−0.7
Miles McBrideNYPG1.3%17.0%+15.7

10 players where we were furthest off

Our biggest misses

We publish these on purpose. The players the field played far more than we expected, and the ones it passed on.

The field played him more than we projected
PlayerPosOursFieldGap
Mikal BridgesNYSF/SG7.5%61.7%+54.2
Josh HartNYSF/PF13.2%65.8%+52.7
OG AnunobyNYPF/SF16.2%50.5%+34.3
Andre DrummondNYC0.3%29.1%+28.8
Karl-Anthony TownsNYC58.1%73.9%+15.8
The field played him less than we projected
PlayerPosOursFieldGap
Tyrese MaxeyPHIPG100.0%26.1%−73.9
Joel EmbiidPHIC100.0%54.5%−45.5
Jalen BrunsonNYPG87.2%51.9%−35.4
LeBron JamesPHIPF47.4%37.0%−10.4
Anfernee SimonsPHISG1.1%0.0%−1.1

Large-field tournament contests · n = 36 players

How our projections held up

We compared our projected ownership with the real field for 36 players across 2 large-field tournament contests (15,282 entries). On average our number was 11.3 percentage points away from the field's. On the 13 players at 10% ownership or more, the average gap was 29.2 points. Across the board the field owned these players 2.0 points more than we projected, on average.

11.3 ptsaverage gap, ours vs the field (36 players)
0.67correlation with real ownership, 1.00 is a perfect match (n = 36)
29.2 ptsaverage gap on the 13 players at 10%+
2large-field tournament contests, 15,282 entries
The grade by contest type
Contest typeContestsEntriesPlayersAvg gapCorr
Large-field tournament215,2823611.30.67

We grade a contest type once it has at least 2 contests. Cash games are not used to grade tournament ownership.

What these numbers mean

Average gap is how far our projected ownership sat from the real field, in percentage points, averaged over every player compared. If we had a player at 20% and the field played him at 26%, that player adds a 6-point gap.

Correlation measures whether we had the order right: who the field would play most and least. 1.00 would be a perfect match and 0 would be no relationship at all.

Players compared covers our whole player pool plus anyone the field used that we did not have in it.

The 2 contests behind these numbers
ContestGroupEntriesFeeMax entries
$500 Tue NBA Piggy Bank Shot (150 Entries Max)large-field tournament11,976$0.05150
$25K Tue NBA Shot ($5K to 1st)large-field tournament3,306$9-
How our fantasy point projections held up

Across 36 players, our point projections missed by 5.3 fantasy points on average (7.7 on players who scored), with a correlation of 0.86 against what they actually scored.

Biggest point misses
PlayerOursActualGap
Andre DrummondNY10.643.8+33.2
Tyrese MaxeyPHI40.856.3+15.5
VJ EdgecombePHI32.617.3−15.3
Rayan RupertPHI15.20.0−15.2
Mikal BridgesNY25.812.1−13.7
By position
PosPlayersAvg missBias
C58.3+6.0
PF34.2−0.6
PF/SF18.6−8.6
PG86.5+0.6
SF62.1−1.0
SF/PF12.2+2.2
SF/SG113.7−13.7
SG114.3−3.5

Before the next lock

Get projected ownership for the next slate

Members get projected ownership and points for every player on every slate we cover, lineups tested in contest simulations, and this grade on each one afterwards.

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