WNBA 8/24 — Two Games, Two Different Ways to Win
This is not a generic “top plays” sheet. It is a position-by-position player map, salary map, contest map and portfolio plan built from the 57-player 8/24 pool you supplied. The goal is to explain why the best cash lineup, the highest-ceiling lineup and the lineup most likely to win a large tournament are not automatically the same six players.
BUILD + SIMULATE WNBAALL PLAYBOOKS
1. The news check changes the entire slate
Minnesota is the most important news team. Courtney Williams is out, while Napheesa Collier is available after sitting the previous game for rest. That creates two separate modeling tasks: redistribute Williams’ ball-handling and minutes, and make sure Collier’s projection has actually refreshed instead of blindly trusting a stale number. The supplied row for Collier is low enough relative to her normal role that CourtEdge should treat it as a data-integrity flag. The correct response is not to invent a new projection. The correct response is to mark the row for refresh and keep the user aware of exactly what number the simulator is using.
2. Slate thesis
The two games create different roster incentives. Atlanta–Los Angeles owns the stronger raw scoring environment in the supplied Vegas fields, so it is naturally where median fantasy production concentrates. Minnesota–Golden State is the more news-sensitive game because Minnesota’s rotation changes without Courtney Williams. Short slates reward players who understand that distinction. You do not need to force four or five players from the same game, but you should know what game script your lineup is betting on.
On only two games, duplication is a real opponent. The field sees the same obvious values. The useful question is not “how do I make six low-owned plays?” It is “how do I retain enough raw scoring to win while changing one or two salary, ownership or teammate decisions so my exact six-man construction is less common?”
3. Best guards
| Player | Team | Pos | Salary | Proj | Ceil | Floor | Own |
|---|---|---|---|---|---|---|---|
| Rhyne Howard | ATL | PG/SG | $10,200 | 35.50 | 45.21 | 27.23 | 43.62% |
| Olivia Miles | MIN | PG/SG | $11,400 | 33.85 | 48.85 | 33.40 | 38.79% |
| Jordin Canada | ATL | PG/SG | $9,600 | 31.42 | 42.13 | 19.37 | 13.47% |
| Allisha Gray | ATL | PG/SG | $9,200 | 30.95 | 40.95 | 23.36 | 16.23% |
| Kayla McBride | MIN | PG/SG | $9,400 | 28.15 | 44.07 | 20.80 | 9.57% |
| Veronica Burton | GSV | PG/SG | $9,000 | 27.28 | 36.75 | 22.88 | 21.00% |
| Rae Burrell | LAS | PG/SG | $7,900 | 26.58 | 36.71 | 20.54 | 18.00% |
| Ariel Atkins | LAS | PG/SG | $5,800 | 20.63 | 27.18 | 16.16 | 8.73% |
| Erica Wheeler | LAS | PG/SG | $6,200 | 19.17 | 30.86 | 13.01 | 7.44% |
| Tiffany Hayes | GSV | PG/SG | $7,200 | 18.50 | 29.86 | 10.17 | 6.33% |
Rhyne Howard leads the guard tier in the supplied median projection. Olivia Miles brings one of the best ceiling profiles and becomes more central to Minnesota’s creation burden with Williams unavailable. Jordin Canada and Allisha Gray are valuable tournament pivots because they can preserve substantial projection at ownership below the very top tier. Kayla McBride is especially important in ceiling-first builds: if her high-end shooting outcome arrives, the lower ownership can matter more than a small median projection gap.
For cash, do not overthink popularity. A player is not a bad cash play because the field also recognizes her role. For tournaments, compare pairs of roster spots. Howard versus Canada is not a complete decision; the salary difference changes the forward you can afford, and the resulting two-v-two may gain or lose far more first-place equity than the isolated guard comparison suggests.
4. Best forwards
| Player | Team | Pos | Salary | Proj | Ceil | Floor | Own |
|---|---|---|---|---|---|---|---|
| Angel Reese | ATL | SF/PF | $11,700 | 42.78 | 55.01 | 27.02 | 43.28% |
| Nneka Ogwumike | LAS | SF/PF | $9,800 | 33.10 | 42.33 | 27.35 | 14.28% |
| Natasha Howard | MIN | SF/PF | $10,000 | 29.33 | 38.45 | 26.24 | 25.80% |
| Dearica Hamby | LAS | SF/PF | $8,800 | 27.78 | 39.98 | 19.77 | 22.64% |
| Naz Hillmon | ATL | SF/PF | $6,700 | 24.12 | 27.44 | 11.81 | 19.60% |
| Gabby Williams | GSV | SF/PF | $7,600 | 20.70 | 31.43 | 7.07 | 15.36% |
| Nia Coffey | MIN | SF/PF | $6,300 | 18.90 | 19.12 | 6.03 | 8.64% |
| Janelle Salaun | GSV | SF/PF | $7,000 | 17.40 | 30.51 | 11.93 | 6.32% |
| Cecilia Zandalasini | GSV | SF/PF | $6,400 | 17.05 | 23.05 | 8.51 | 6.12% |
| Kiah Stokes | GSV | SF/PF | $5,600 | 16.95 | 24.81 | 6.09 | 7.04% |
Angel Reese is the clearest expensive anchor in the supplied pool because she combines raw projection, ceiling and workable per-dollar value. Nneka Ogwumike is one of the better leverage forwards when her ownership remains below the top chalk. Naz Hillmon is an important salary-structure piece because she can let a roster keep multiple ceiling players without forcing a thin punt. The Collier situation should remain explicitly flagged until the projection row is refreshed against her confirmed active status.
5. Salary-efficiency board
| Player | Team | Pos | Salary | Proj | Ceil | Floor | Own |
|---|---|---|---|---|---|---|---|
| Angel Reese | ATL | SF/PF | $11,700 | 42.78 | 55.01 | 27.02 | 43.28% |
| Naz Hillmon | ATL | SF/PF | $6,700 | 24.12 | 27.44 | 11.81 | 19.60% |
| Ariel Atkins | LAS | PG/SG | $5,800 | 20.63 | 27.18 | 16.16 | 8.73% |
| Rhyne Howard | ATL | PG/SG | $10,200 | 35.50 | 45.21 | 27.23 | 43.62% |
| Nneka Ogwumike | LAS | SF/PF | $9,800 | 33.10 | 42.33 | 27.35 | 14.28% |
| Rae Burrell | LAS | PG/SG | $7,900 | 26.58 | 36.71 | 20.54 | 18.00% |
| Allisha Gray | ATL | PG/SG | $9,200 | 30.95 | 40.95 | 23.36 | 16.23% |
| Jordin Canada | ATL | PG/SG | $9,600 | 31.42 | 42.13 | 19.37 | 13.47% |
| Dearica Hamby | LAS | SF/PF | $8,800 | 27.78 | 39.98 | 19.77 | 22.64% |
| Erica Wheeler | LAS | PG/SG | $6,200 | 19.17 | 30.86 | 13.01 | 7.44% |
Value is not synonymous with cheap. A cheap player who needs an unlikely minutes spike is not automatically a better value than a midrange player with a secure role. In cash, salary efficiency should be paired with floor and minutes. In tournaments, the simulator can accept a little more volatility when the ceiling and ownership interaction creates a real path to first.
6. Lower-owned ceiling branches
| Player | Team | Pos | Salary | Proj | Ceil | Floor | Own |
|---|---|---|---|---|---|---|---|
| Kayla McBride | MIN | PG/SG | $9,400 | 28.15 | 44.07 | 20.80 | 9.57% |
| Nneka Ogwumike | LAS | SF/PF | $9,800 | 33.10 | 42.33 | 27.35 | 14.28% |
| Jordin Canada | ATL | PG/SG | $9,600 | 31.42 | 42.13 | 19.37 | 13.47% |
| Erica Wheeler | LAS | PG/SG | $6,200 | 19.17 | 30.86 | 13.01 | 7.44% |
| Janelle Salaun | GSV | SF/PF | $7,000 | 17.40 | 30.51 | 11.93 | 6.32% |
| Tiffany Hayes | GSV | PG/SG | $7,200 | 18.50 | 29.86 | 10.17 | 6.33% |
| Ariel Atkins | LAS | PG/SG | $5,800 | 20.63 | 27.18 | 16.16 | 8.73% |
| Kiah Stokes | GSV | SF/PF | $5,600 | 16.95 | 24.81 | 6.09 | 7.04% |
| Cecilia Zandalasini | GSV | SF/PF | $6,400 | 17.05 | 23.05 | 8.51 | 6.12% |
| Nia Coffey | MIN | SF/PF | $6,300 | 18.90 | 19.12 | 6.03 | 8.64% |
This is where the large-field game separates from the median optimizer. Low ownership by itself is worthless. CourtEdge should only reward it when the player has an identifiable ceiling path: expanded minutes, concentrated usage, a shooting/stock profile with tail upside, a salary unlock that enables two elite pieces, or a correlated game branch. A lineup does not become sharp merely because its cumulative ownership is low.
7. Median-optimal versus ceiling-optimal
Highest median projection from the supplied 8/24 pool
- Angel Reese · ATL · SF/PF · $11,700 · 42.78 proj · 55.01 ceil
- Rhyne Howard · ATL · PG/SG · $10,200 · 35.50 proj · 45.21 ceil
- Nneka Ogwumike · LAS · SF/PF · $9,800 · 33.10 proj · 42.33 ceil
- Naz Hillmon · ATL · SF/PF · $6,700 · 24.12 proj · 27.44 ceil
- Ariel Atkins · LAS · PG/SG · $5,800 · 20.63 proj · 27.18 ceil
- Kiah Stokes · GSV · SF/PF · $5,600 · 16.95 proj · 24.81 ceil
$49,800 salary · 173.08 median · 221.98 summed ceiling · 136.55% cumulative projected ownership.
Highest summed individual ceiling from the supplied 8/24 pool
- Angel Reese · ATL · SF/PF · $11,700 · 42.78 proj · 55.01 ceil
- Kayla McBride · MIN · PG/SG · $9,400 · 28.15 proj · 44.07 ceil
- Dearica Hamby · LAS · SF/PF · $8,800 · 27.78 proj · 39.98 ceil
- Rae Burrell · LAS · PG/SG · $7,900 · 26.58 proj · 36.71 ceil
- Erica Wheeler · LAS · PG/SG · $6,200 · 19.17 proj · 30.86 ceil
- Kiah Stokes · GSV · SF/PF · $5,600 · 16.95 proj · 24.81 ceil
$49,600 salary · 161.41 median · 231.44 summed ceiling · 107.97% cumulative projected ownership.
These are deliberately different. Projection answers a median question. Ceiling answers a tail question. Cash% asks how often a lineup gets paid. Top-1% asks how often it reaches the top percentile of the actual contest field. Win% asks how often it finishes first. Sim ROI adds the payout ladder and entry fee. RAROI adds a risk penalty to the return profile. One “optimal” button cannot answer all of those questions without hiding the tradeoff from the user.
8. Best cash plays — refreshed LineStar projections
| Cash rank | Player | Pos | Salary | Proj | Floor | Ceil | Own | Cash read |
|---|---|---|---|---|---|---|---|---|
| 1 | Angel Reese | F | $11,700 | 42.78 | 27.02 | 55.01 | 43.28% | Best combination of raw projection, ceiling and role. Primary cash anchor. |
| 2 | Rhyne Howard | G | $10,200 | 35.50 | 27.23 | 45.21 | 43.62% | Top guard median and strong ownership support. Excellent in max-projection cash builds. |
| 3 | Nneka Ogwumike | F | $9,800 | 33.10 | 27.35 | 42.33 | 14.28% | Very strong projection/floor pairing. Cash viable even at lower projected ownership. |
| 4 | Ariel Atkins | G | $5,800 | 20.63 | 16.16 | 27.18 | 8.73% | Most useful salary saver on the confirmed-starter board; unlocks the premium core. |
| 5 | Naz Hillmon | F | $6,700 | 24.12 | 11.81 | 27.44 | 19.60% | Best median value at forward. Stronger for projection-first cash than pure floor builds. |
| 6 | Allisha Gray | G | $9,200 | 30.95 | 23.36 | 40.95 | 16.23% | Excellent balanced-cash pivot when moving off the Howard/Kiah construction. |
| 7 | Olivia Miles | G | $11,400 | 33.85 | 33.40 | 48.85 | 38.79% | Best individual floor signal on the board, but expensive enough that lineup-level projection can fall. |
| 8 | Erica Wheeler | G | $6,200 | 19.17 | 13.01 | 30.86 | 7.44% | Useful cash salary bridge in the balanced build; less median than Atkins, but avoids a thinner forward punt. |
Max-median cash path
Angel Reese · Rhyne Howard · Nneka Ogwumike · Naz Hillmon · Ariel Atkins · Kiah Stokes
$49,800 salary · 173.08 median projection · 115.66 summed floor · 136.55% projected ownership.
This is the highest-projected legal confirmed-starter construction from the supplied board. The tradeoff is Kiah Stokes' thinner floor.
Balanced cash path
Angel Reese · Nneka Ogwumike · Allisha Gray · Naz Hillmon · Erica Wheeler · Ariel Atkins
$49,400 salary · 170.75 median projection · 118.71 summed floor · 109.56% projected ownership.
Only 2.33 median points below the max-projection build while improving the summed floor and avoiding the Kiah Stokes dependency.
Common cash core: Reese + Nneka + Atkins + Hillmon. From there, Howard/Kiah is the projection-first branch; Gray/Wheeler is the more balanced branch. Do not force Napheesa Collier into cash from the current row: her supplied projection/status combination is not stable enough to treat as a normal full-role starter until the feed changes.
9. Single Entry and 3-Max
Single Entry is a concentrated decision problem. Start with the strongest raw pieces, then make one or two deliberate leverage choices. Canada, Gray, McBride and Nneka are the kind of pivots that can change lineup ownership without demanding six simultaneous upsets. Salary left on the table is also a legitimate uniqueness tool on a two-game slate. If the most obvious optimizer roster spends $49,900 or $50,000, a strong $48,800–$49,500 construction can be materially less duplicated without giving away the slate.
10. 20-Max portfolio
Twenty lineups should be twenty coherent branches, not twenty versions of the same lineup. One branch can bet on Atlanta dominating the fantasy scoring. Another can keep the Atlanta core but bring back more Los Angeles ceiling. Another can lean into Minnesota’s usage concentration without Williams. Another can assume Golden State keeps that game competitive and forces Minnesota’s starters into full workloads. The builder should generate thousands of legal candidates first, simulate them, then select a final twenty that cover those branches while respecting exposure and overlap.
11. 150-Max portfolio
A 150-max portfolio should be optimized jointly. The candidate search and the contest entry cap are separate numbers. CourtEdge can search 8,000, 15,000 or 20,000 legal candidates and still export exactly 150 entries. The portfolio layer should consider player exposures, pairwise lineup overlap, expected duplication, game concentration and the probability that at least one entry reaches the top percentile. One hundred fifty individually “good” lineups can still form a bad portfolio if they all fail under the same two player outcomes.
12. Exact contest selection changes the ranking
DraftKings’ current public basketball listing verifies two WNBA Classic contests: the WNBA $20K Shootaround [$5K to 1st] at a $20 entry with a 1,176-entry field, and the WNBA $15K Zone [$5K to 1st] at a $5 entry with a 3,567-entry field. Those are real live contest shells. The public listing does not provide the full rung-by-rung payout ladder, so CourtEdge must label them LIVE DK · ladder pending. That still lets the site personalize field-size-dependent metrics. It does not justify calling ROI exact.
data/contest-library.json, the dropdown can say EXACT PAYOUT. If only the verified contest name, fee, field and first prize are known, it must say LIVE DK · ladder pending. No synthetic ladder should be presented as DraftKings reality.13. What each ranking mode is for
Best Overall
A balanced summary for users who do not want a single pure objective.
Sim ROI
Expected contest return relative to entry fee. Best when the full payout ladder is exact.
RAROI
Risk-adjusted return; useful for distinguishing similar expected returns with different volatility.
Top 1% / Win%
Large-field tail metrics that must use the actual contest field size, not the candidate count.
Cash%
Probability of clearing the paid threshold; naturally the primary Double-Up metric.
Optimal%
How often the lineup is the top-scoring legal construction in the simulated slate state.
14. Late swap
For 20-max and 150-max, late swap belongs in the same contest workflow. The user should upload the official DraftKings entries file, CourtEdge should preserve Entry ID, Contest Name and Contest ID, freeze every locked player and locked slot, and rebuild only the remaining positions. The entire remaining portfolio should then be re-ranked because projections, ownership and remaining paths to first have changed.
Short WNBA slates make roster flexibility especially valuable. When two players are otherwise similar, later-starting players are often better placed in flexible G/F/UTIL slots rather than unnecessarily locking a specific position early. After a swap pass, the site should report how many entries changed, which exposures moved, salary changes, and any lineup that could not be legally repaired.
15. Final CourtEdge player map
Raw anchors: Angel Reese and Rhyne Howard. High-end guard ceiling: Olivia Miles. Forward leverage: Nneka Ogwumike. Tournament mid/high-salary pivots: Jordin Canada, Allisha Gray and Kayla McBride. Salary structure: Naz Hillmon and the viable lower-midrange guards/forwards. Data-integrity watch: Collier’s projection must be refreshed against her confirmed active status before the builder treats that row as normal.
The objective is not to pretend one lineup is “the answer.” The objective is to make every lineup explainable: why it belongs in this exact contest, what game branch makes it win, how much projection it gives away for leverage, what the field is likely to duplicate, and how it can still be repaired if news breaks after lock.