DraftKings Golf Picks: How the Statz Projection Model Works

DraftKings golf is won by the players who understand their edge. Most lineups are built on reputation and public consensus. The ones that cash are built on projected DK points backed by a real model. Here is exactly how the Statz projection system works – and how to use it for your DFS lineups.

What Is DK Projected Points?

DraftKings golf scoring awards points for birdies (+3), eagles (+8), bogeys (-0.5), double bogeys or worse (-1), finishing positions (tiered bonuses from top 5 to top 40), and a made-cut bonus. The challenge is that most DFS players estimate these outcomes mentally. The Statz model at statz.ai/golf does it mathematically.

For every player in the field, the engine runs a projection using 7 factors – base skill, recent form, course fit, course history, field strength, conditions, and course setup. That projection produces per-round scoring estimates, probability distributions for each finish tier, and a final DK projected points number. It is the same model that underpins the outright betting projections, recalibrated for DK scoring rules.

The 7 Factors, Explained

Base Skill (weight: 37%)

The foundation of the model. Calculated from a player’s SG:Total over their last 100 rounds, normalised and ranked against the field. This is the long-run measure of how good a player actually is. Scottie Scheffler leads this category with an L100 SG:Total of +2.52. It is the single biggest factor in the model for good reason – skill is persistent.

Recent Form (weight: 22%)

The delta between a player’s L24 and L100 SG:Total. A player who is performing significantly above their long-run skill level is trending up – and the model captures that. Akshay Bhatia is the standout example right now: his L24 SG:Total of +2.06 is well above his L100 of +0.86. That gap means a very high recent form score and a meaningful boost to his overall projection.

Course History (weight: 19%)

Recency-weighted historic finishing positions at this specific tournament. The model rewards players who have a strong track record at the venue because golf courses suit certain games. Some players have specific holes that play to their strengths, or grass types that suit their putting. Course history captures that in aggregate.

Field Strength (weight: 7.5%)

An Elo-style adjustment comparing the player’s OWGR against the field average. A world top-10 player in a weak field gets a meaningful uplift. A mid-ranked player in a major field with an average OWGR of 30 gets a slight penalty. This factor stops the model from overrating weaker players in soft events.

Course Fit (weight: 7%)

Pearson correlation between a player’s SG profile shape and the venue’s historic top-10 SG demand. A player who is elite in exactly the skill the course rewards – say, an elite iron player at an approach-heavy track – scores highly here. Collin Morikawa (+1.15 SG:APP over 24 rounds) will post a high course fit score at any venue that rewards precise iron play.

Course Setup (weight: 5%)

Driving distance fit against course length. A 7,600-yard course heavily favours long hitters. A compact 7,000-yard track with narrow fairways does not. The model maps each player’s average driving distance against the course length percentile and adjusts accordingly. Cameron Champ (325.3 yards average) and Aldrich Potgieter (324.3 yards) score highest on setup at long courses.

Conditions (weight: 2.5%)

Grass-type affinity, currently dominated by green-grass SG putting delta. Bermudagrass and bentgrass courses reward different putting styles. Players who have historically putted better on a specific grass type get a small edge in this factor.

Who Tops the Projection Model Right Now

Across the current season, the players with the strongest composite projection scores based on the 7-factor model are the names near the top of the overall form rankings at statz.ai/golf/tournaments. The top performers in the key input metrics right now:

• Akshay Bhatia – #1 in SG:Total over 24 rounds (+2.06), #1 in birdies per round (4.96), elite putting (+1.05 SG:P)
• Scottie Scheffler – #1 in base skill (L100 SG:Total +2.52), #2 in birdies (4.92), leads the scrambling charts
• Collin Morikawa – #1 in SG:APP (+1.15), #1 in driving accuracy (70.3%), #3 in birdies (4.91)
• Matt Fitzpatrick – FedExCup leader (2,394 points), top-3 in SG:Total over 24 rounds (+1.88), top-5 SG:APP
• Ludvig Aberg – top-4 in overall form, consistent high SG:Total over 24 and 50-round windows

Translating This Into DFS Lineups

The DK projected points number is the bottom line for lineup construction. But within a lineup, the model gives you three things the consensus does not:

1. Make-cut probability. A player with a 90%+ make-cut probability is a near-lock for your lineup – you are not giving up the cut bonus. Players with shaky make-cut numbers are a risk even if their upside is high.

2. Top-10 and top-20 probabilities. DraftKings pays significant positional bonuses for top-5, top-10, and top-20 finishes. A player with a 35%+ top-20 probability is consistently generating DK points from positional bonuses regardless of whether they contend to win.

3. First round leader (FRL) probability. The model also projects FRL probability, which is useful for DK GPP tournament entries where first-round leaders generate maximum early-week points.

Access the full DK projected points leaderboard, course fit breakdown, and factor scores for every player at statz.ai/golf/tournaments. Updated throughout each tournament week as round data arrives. Use it alongside the Statz bet builder to cross-reference your DFS plays with the outright market.