Graded · 2 contests · 1,894 entries

NBA Nov 2 DraftKings ownership: Turbo slate

What the field actually played on the NBA Mon Nov 2 DraftKings Turbo slate, next to what we projected before lock. Our misses are shown in full.

November 2, 2026 · Updated November 3, 2026 · After The Timeout

2 games · classic

The slate at a glance

Sport
NBA
Site
DraftKings
Format
Classic
Games
2
Teams
BOS, HOU, SA, UTAH
First lock
Mon Nov 2, 8:30 PM ET
Player pool
54 players
Projections
Captured Mon Nov 2, 7:37 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 small-field or limited-entry tournament contests, 1,894 entries. Gap is the field minus our projection: green means the field played him more than we expected.

Some field numbers read low. Part of the real ownership here comes from a results source that counts each player in one roster slot only, so a player the field used in more than one slot can show less ownership than he really had.

Ours vs the field, 2 small-field or limited-entry tournament contests, 1,894 entries
PlayerPosOursFieldGap
Stephon CastleSASG32.1%56.8%+24.7
Victor WembanyamaSAC15.1%49.7%+34.6
Keldon JohnsonSASF/PF22.2%47.0%+24.8
Dylan HarperSAPG/SF56.3%45.9%−10.4
Isaiah CollierUTAHPG16.4%45.1%+28.7
Jayson TatumBOSSF/PF31.3%42.2%+10.9
De'Aaron FoxSAPG33.2%37.3%+4.1
Devin VassellSASF/PF39.0%34.9%−4.1
Hugo GonzalezBOSSG/SF1.5%29.9%+28.3
Keyonte GeorgeUTAHPG26.2%28.4%+2.2
Kevin DurantHOUSF29.8%27.7%−2.1
Mo BambaUTAHC19.0%27.6%+8.6

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
Victor WembanyamaSAC15.1%49.7%+34.6
Isaiah CollierUTAHPG16.4%45.1%+28.7
Hugo GonzalezBOSSG/SF1.5%29.9%+28.3
Keldon JohnsonSASF/PF22.2%47.0%+24.8
Stephon CastleSASG32.1%56.8%+24.7
The field played him less than we projected
PlayerPosOursFieldGap
Jabari Smith Jr.HOUPF/C42.0%10.7%−31.3
Ace BaileyUTAHSF/PF41.8%13.9%−27.8
Alperen SengunHOUPF/C47.1%26.1%−21.0
Reed SheppardHOUSG20.9%0.8%−20.1
Amen ThompsonHOUPG/SG36.9%21.2%−15.7

Small-field or limited-entry tournament contests · n = 55 players

How our projections held up

We compared our projected ownership with the real field for 55 players across 2 small-field or limited-entry tournament contests (1,894 entries). On average our number was 7.9 percentage points away from the field's. On the 28 players at 10% ownership or more, the average gap was 12.5 points. Across the board the field owned these players 0.2 points less than we projected, on average.

7.9 ptsaverage gap, ours vs the field (55 players)
0.68correlation with real ownership, 1.00 is a perfect match (n = 55)
12.5 ptsaverage gap on the 28 players at 10%+
2small-field or limited-entry tournament contests, 1,894 entries
The grade by contest type
Contest typeContestsEntriesPlayersAvg gapCorr
Small-field or limited-entry tournament21,894557.90.68

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
NBA $1K And-One [20 Entry Max] (Turbo)small-field or limited-entry tournament1,189$120
NBA $6K Pull Up Jumper [$2K to 1st] (Turbo)small-field or limited-entry tournament705$10-
How our fantasy point projections held up

Across 54 players, our point projections missed by 7.4 fantasy points on average (7.8 on players who scored), with a correlation of 0.79 against what they actually scored.

Biggest point misses
PlayerOursActualGap
Keyonte GeorgeUTAH36.314.8−21.5
Victor WembanyamaSA57.640.2−17.4
Josh OkogieUTAH2.117.8+15.7
De'Aaron FoxSA36.421.0−15.4
Darryn PetersonUTAH26.340.5+14.2
By position
PosPlayersAvg missBias
C126.7−0.1
PF35.7+2.3
PF/C37.8+1.1
PG89.4−9.4
PG/SF15.2+5.2
PG/SG66.9−0.3
SF113.7−13.7
SF/PF98.1−1.2
SG35.1−5.1
SG/SF87.1+1.3

Before the next lock

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