HV vs Casual Strategy Report

46,769 lineups  ·  14,107 users  ·  124 golfers  ·  $1M prize pool

Total Lineups 46,769	HV Users 144	Casual Users 13,962	HV Avg Entries 121
6 golfers each	17,468 lineups (37.4%)	29,301 lineups (62.6%)	Median at max (150)

1. Ownership Divergence

Where HV and casual players disagree most. These gaps represent the core strategic differences between sharp multi-entry portfolios and recreational single-entry builds.

HV Overweights — Contrarian Picks

Player	Salary	HV Own%	Casual Own%	Diff	Direction
Xander Schauffele	$10,500	18.6%	8.6%	+10.0pp	HV↑
Davis Thompson	$7,200	11.3%	3.3%	+8.0pp	HV↑
Harris English	$8,600	12.6%	6.2%	+6.4pp	HV↑
J.T. Poston	$7,500	13.3%	7.0%	+6.3pp	HV↑
Garrick Higgo	$7,400	8.1%	2.2%	+5.9pp	HV↑
Collin Morikawa	$8,500	12.0%	6.2%	+5.8pp	HV↑
Rasmus Hojgaard	$7,700	13.4%	7.8%	+5.6pp	HV↑
Hideki Matsuyama	$9,600	22.8%	17.5%	+5.4pp	HV↑
Keith Mitchell	$7,400	16.4%	11.5%	+4.9pp	HV↑
Mac Meissner	$6,800	8.8%	3.9%	+4.9pp	HV↑

HV Fades — Casual Chalk

Player	Salary	HV Own%	Casual Own%	Diff	Direction
Sahith Theegala	$8,400	7.3%	21.1%	-13.8pp	Cas↑
Jordan Spieth	$8,200	7.5%	16.4%	-8.9pp	Cas↑
Brooks Koepka	$8,700	6.1%	14.5%	-8.4pp	Cas↑
Pierceson Coody	$8,000	11.5%	19.9%	-8.4pp	Cas↑
Scottie Scheffler	$14,500	22.8%	28.9%	-6.2pp	Cas↑
Jake Knapp	$8,800	7.6%	13.5%	-5.9pp	Cas↑
Nick Taylor	$7,800	6.9%	12.8%	-5.9pp	Cas↑
Tony Finau	$7,100	2.0%	7.4%	-5.5pp	Cas↑
Chris Gotterup	$8,300	17.2%	22.3%	-5.1pp	Cas↑
Maverick McNealy	$9,100	16.9%	21.6%	-4.7pp	Cas↑

Key Takeaway: The single largest divergence is Sahith Theegala — casual players roster him at nearly 3× the HV rate (21.1% vs 7.3%). HV players heavily fade name-brand casuals like Spieth and Koepka in the $8–9k range, while aggressively overweighting Xander Schauffele (+10pp) and mid-tier value plays like Davis Thompson, J.T. Poston, and Garrick Higgo in the $7–7.5k range.

2. Lineup Construction

How each group builds their rosters — salary efficiency, projection alignment, and structural differences.

HV Players (144 users) Avg Lineup Salary $49,812 Avg Projected Points 398.9 Wtd Avg Player Salary $8,302 Wtd Avg Pts/$ 7.88 Own ↔ Proj Correlation 0.912 Players >5% Owned 46 Players >10% Owned 25 Lineup Uniqueness 95.4%

Casual Players (13,962 users) Avg Lineup Salary $49,842 Avg Projected Points 388.3 Wtd Avg Player Salary $8,307 Wtd Avg Pts/$ 7.63 Own ↔ Proj Correlation 0.840 Players >5% Owned 42 Players >10% Owned 19 Lineup Uniqueness 90.7%

Key Takeaway: HV players are more projection-aligned (r=0.912 vs 0.840), squeeze out 3% more value per dollar (7.88 vs 7.63 pts/$), and spread ownership across 6 more players above the 5% threshold. Despite similar average salary spend, HV lineups project +10.6 points higher. Their 95.4% lineup uniqueness vs 90.7% shows sharps generate more differentiated builds even at 150-entry scale.

3. Tier-by-Tier Ownership

How each group allocates ownership across salary tiers — where do the dollars flow?

Salary Tier	Players	HV Avg Own	Cas Avg Own	HV Lean	Biggest Gap
$10k+	2	20.7%	18.8%	+1.9pp	Xander +10.0pp HV↑
$9–10k	8	15.2%	14.2%	+1.0pp	Matsuyama +5.4pp HV↑
$8–9k	10	9.2%	11.7%	−2.5pp	Theegala −13.8pp HV↓
$7.5–8k	10	10.0%	9.3%	+0.7pp	Coody −8.4pp HV↓
$7–7.5k	21	7.4%	6.0%	+1.4pp	D. Thompson +8.0pp HV↑
$6–7k	63	1.4%	1.8%	−0.4pp	Dahmen −6.2pp HV↓

Key Takeaway: HV players overweight the $7–7.5k tier — the sweet spot for underpriced value plays casuals are underutilizing. The biggest divergence is in the $8–9k tier, where casuals gravitate toward name players (Theegala, Spieth, Koepka) that sharps actively fade. HV players reallocate that exposure toward the slate’s top ($10k+ Xander) and lower-tier value ($7–7.5k).

4. Player Pairing Tendencies

The most-used two-player combinations reveal each group’s core build philosophy.

HV Top Pairs C. Young + Matsuyama 4.8% Mac Meissner + Scheffler 4.5% Sam Stevens + Scheffler 4.4% K. Mitchell + Scheffler 4.2% Matsuyama + Si Woo Kim 4.0% J. Parry + Scheffler 3.8% Gotterup + Matsuyama 3.8% K. Mitchell + Matsuyama 3.8%

Casual Top Pairs Gotterup + Coody 7.0% Coody + Si Woo Kim 6.1% Gotterup + Theegala 6.0% Coody + Theegala 6.0% Gotterup + Si Woo Kim 5.8% Theegala + Si Woo Kim 5.7% McNealy + Theegala 5.6% C. Young + McNealy 5.3%

Key Takeaway: Casual pairs are highly concentrated — their top pair (Gotterup + Coody at 7.0%) is nearly 50% more correlated than the HV top pair (Young + Matsuyama at 4.8%). Casual lineups rotate around a Theegala / Coody / Gotterup / Si Woo core. HV pairs are more dispersed, leaning toward Scheffler + cheap value (Meissner, Stevens, Parry, Mitchell) and Matsuyama as a pivot away from casual-heavy combos.

5. HV Exposure Management

How individual sharp users cap their exposure — the architecture of a 150-lineup portfolio.

User	LUs	Top Exposure	Max%	2nd Exposure	Max%	Style
Awesemo	150	Scheffler	78.0%	Bhatia	40.0%	Anchor heavy
KeepCalmAndTiltOn	150	Matsuyama	53.3%	Si Woo Kim	38.0%	Anchor heavy
Jamie27	150	Meissner	63.3%	Neerg.-Petersen	52.0%	Contrarian
Bsgolfer7	140	C. Young	45.7%	Xander	42.9%	Dual anchor
Fantassin	150	Scheffler	27.3%	Xander	26.0%	Balanced
Gardyone	150	Scheffler	27.3%	C. Young	23.3%	Balanced
Jlyles2019	150	Matsuyama	25.3%	Morikawa	20.0%	Balanced
Firedog50	150	Matsuyama	26.0%	Xander	23.3%	Balanced

Key Takeaway: Even among sharps, there’s a clear split: some run “anchor heavy” portfolios (Awesemo at 78% Scheffler), betting big on one player and varying the supporting cast. Others run “balanced” books where no player exceeds ~27%, maximizing combinatorial diversity. Contrarians like Jamie27 anchor on low-owned players (Meissner at 63%) — a high-risk, high-reward approach creating massive leverage if the anchor hits.

6. Contest Results

Rank distribution through the leaderboard — who showed up at the top on this specific slate?

Metric	HV Players	Casual Players	Edge
Average Rank	8,908	8,982	HV +74 ranks
Median Rank	10,882	10,882	Tied
Top 100 Hit Rate	1.07%	1.16%	Casual +0.09pp
Top 1,000 Hit Rate	6.05%	8.31%	Casual +2.26pp
Top 5,000 Hit Rate	24.39%	22.59%	HV +1.80pp

Key Takeaway: This slate produced mixed results for HV players — marginally better average rank but underperformance at the very top (top 100, top 1000). This is consistent with the ownership data: HV players were fading casual-chalk players who turned out to be correct chalk on this particular slate. Their wider coverage did produce a better top-5000 rate (24.4% vs 22.6%), suggesting the portfolio approach works for consistent min-cashes while the contrarian underweights hurt upside this specific week.

7. Strategic Summary

HV players are more sophisticated builders. They show stronger projection alignment (r=0.912 vs 0.840), extract more value per dollar, maintain higher lineup uniqueness at scale, and spread ownership across a wider player pool. Their fades of casual chalk ($8–9k name players) are intentional leverage plays, not ignorance.

Casual players cluster around recognizable names. The Theegala / Coody / Spieth / Koepka overweights suggest drafting driven by brand awareness over projections. Their top pairs are 50% more concentrated than HV pairs, meaning large chunks of the casual field overlap — reducing their collective ceiling in a GPP format.

The net result: HV strategy is built for long-term GPP ROI through leverage and diversification, even if individual slates sometimes underperform when casual chalk hits. The 37% entry share from just 1% of users means HV players are effectively setting ~37% of the ownership market — which ironically creates its own form of “sharp chalk” that contrarian casuals could exploit.