Pocono Cup Betting and DFS Picks & Predictions: Great American Getaway 400

Practice is in the books, our model has run the Great American Getaway 400 ten thousand times with the latest pace data, and the board has moved. Below: the betting edge the market is missing, the position-differential plays that win this slate, the real-world risk hiding in the projections, and how Pocono's fuel game changes everything.

Race: Great American Getaway 400 · Pocono Raceway · Sunday, June 14, 3:00pm ET
Stages: 30 / 95 / 160
Tires: Goodyear D-5284 left / D-5292 right
Practice long-run leaders: Buescher, Erik Jones, Larson, Hamlin, Reddick

The bet of the week: Kyle Larson at +550

The widest model-vs-market gap on the board belongs to Kyle Larson. The sim makes him a 22.8% winner against a 15.4% implied price (+550) — a full seven points of edge on a driver who showed up-front pace again in Saturday practice (#3 in long-run speed).

Larson is the popular pivot off Hamlin, and there's a reason: he's faster than his Pocono history (composite #2) suggests, and at +550 the market is treating an elite intermediate driver like a second-tier option. Pocono has never been his best NextGen track, and his dominator points here are thin — but the sim isn't asking him to lead 60 laps. It's asking whether he wins more than a 1-in-6.5 implied price says, and the answer is a clear yes.

Hamlin: the anchor

Denny Hamlin still sweeps our composite power rankings — #1 in Pocono running position, intermediate pace, left-side tire, and dominance, with #4 practice speed and the #4 pit crew. He's the rightful favorite and the most likely dominator.

But the betting market has caught up. His price shortened to +220 (31.3% implied) while the sim makes him a 25.3% winner — meaning the market now overrates his win equity by six points. Hamlin is the DFS cash anchor (a field-elite 38.0% optimal rate, built on his dominator floor) — but he is no longer a good outright bet. Fast cars win at Pocono, but track position is ultra-important, and there's a real path for Hamlin to dominate early and get washed into traffic by a caution or strategy fork he can't control. Anchor him; don't bet him.

This is a position-differential slate

Here's the structural key that separates this week from a normal Cup race. Pocono's qualifying order put the stars up front (Hamlin P1, Larson P2, Gibbs P4, Briscoe P5, Buescher P6) and parked several fast cars deep in the field. On a track where it's famously hard to pass the leader, drivers who start in the back with pace to climb are position-differential (PD) gold — and the sim's optimal grid is screaming about them.

• Bubba Wallace ($8,000) — the optimal monster of the slate. A field-best 49.3% optimal rate and a 47.7 mean DK starting from P38. He's #9 at intermediates with the #6 pit crew; the model sees him carving through the field all day. He's the single most valuable cell on the board and near-mandatory in every format.
• Brad Keselowski ($7,900, 33.2% optimal) — starting P37 with #3 Pocono dominance history and a 39.8 mean DK. The one flag: his #30-ranked pit crew is the worst among contenders, so he gains on track and risks giving it back on pit road. The model bakes that in and still loves him — a rare case where the upside swamps the crew leak.
• Ryan Preece ($6,900, 25.0% optimal) — P35 start, #7 pit crew, 34.2 mean DK. Slow in practice and not a lock, but at the price the PD math carries him.
• Austin Dillon ($5,800, 15.7% optimal) — the necessary-evil salary saver that makes the expensive PD build fit. An RCR engine starting P32 at $5,800 is a value the optimizer needs to balance the chalk.

Pay up for a dominator, anchor with Bubba, stack the cheap PD, and let the back-of-the-grid speed do the work.

The core mid-tier: Tyler Reddick

Reddick is the CORE play that ties the build together. He was excellent here last year before mechanical issues ended his day, and the practice pace is back (#5 long-run). The sim gives him 8.4% to win, a 26.2% optimal rate, and a 53.3% top-10 at $10,300 starting P16 — pace and position differential in one roster spot. His pit crew (#14) leaves a little to be desired, but they're sharp executors and strategists, which matters more than raw stop time on a strategy track. Race-winning upside at a mid-tier price.

Read this before you roster Christopher Bell

The model loves Christopher Bell — 8.0% win at +1600 (5.9% implied), a 29.3% optimal rate, the field's top mean DK at 41.1. On paper he's a top-three play.

But the sim doesn't know what you need to: Bell is racing through an injury, and there's a live possibility Brandon Jones takes over the #20 car. If Jones is in the seat, every Bell projection above is wrong. If the driver change is confirmed before lock, you rebuild the field with Jones in the car and re-run in thirty seconds rather than rostering a number that no longer exists. Check the lineup sheet, then decide.

Practice standouts and the rest of the board

• Chris Buescher ($8,500) — the practice story of the weekend. He looked super fast (#1 in long-run pace), which vaulted him to composite #3 and a sim-best 63.6% top-10 for his price. Even starting P6, his floor is high enough to play. A genuine pace-plus-consistency value.
• Chase Briscoe ($9,900, 23.5% optimal) — won this race last year (a fuel-mileage finish), has the #1 pit crew in the series, and projects a 57.1% top-10. The crew advantage is worth real money on a strategy track.
• Erik Jones ($7,500, 12.8% optimal) — #2 in practice with legitimate current pace and a 45.2% top-10. Starts a touch high at P7, but not a full fade.
• Carson Hocevar ($8,700, 23.3% optimal) — strong PD floor from P26; should fight for a top-15 easily.
• Chase Elliott ($9,200) — the smaller fade. Last week's runaway fade is more modest now: 2.1% win against a 5.3% implied price (+1800). Good track for him with real PD from P23 (25.4% optimal, 41.0 mean DK), so he's a fine DFS piece — just not the outright the price implies.

Race shape: this is a fuel-management race

The Great American Getaway 400 is 160 laps around the 2.5-mile triangle, and that length sets up the same trap Pocono springs every year. The track historically runs light on cautions — long green-flag stretches are the default. That means the run to the checkered after the final stage break is a fuel-and-strategy game, not a pure pace contest.

Last year proved it: Briscoe won this race saving significant fuel — and notably, it didn't even need to be a fuel race for him, because he left his box early, came up short on a full tank, and was fast enough to win anyway. The lesson for tonight: track position is ultra-important and the leader is nearly impossible to pass, so whoever controls the final cycle controls the race.

That's why this is a position-differential slate, and why our read is to not get too overweight on the chalk dominators. There's a strong chance we get an unpredictable dominator out of a strategy sequence — a Ty Gibbs or a Logano who nails the fuel call and leads the laps nobody projected. The drivers who win a fuel race are the ones with mid-run pace to stay in the top 12 and the track position to capitalize on the final fork. That's the exact profile behind the Bubba/Keselowski/Preece PD cluster and the Larson bet.

Build your own race in the Pro Sim

Every number in this article came from one sim run with default settings — Historical chaos, Medium tire wear, our model assigning the dominators. The real edge is changing those settings to match your read of the race. And on a fuel-strategy slate this volatile, that's where Pro pays for itself:

• Crank chaos to Maximum to model a caution-filled finish — watch Hamlin's win number fall and the deep-starting PD plays (Bubba, Keselowski) climb even higher.
• Set tire wear to Heavy to simulate a green-flag run on 40-lap-old rubber and see who actually survives the last stint.
• Crown your own dominator — if you think Gibbs or Logano steals the laps on strategy, mark them and let the engine run your scenario 10,000 times.
• Rebuild the field with Brandon Jones in the #20 the moment a Bell driver change is confirmed — the one adjustment no static projection can make for you.

That's the whole point of the simulator: you press a button, the engine runs your assumptions ten thousand times, and you see the lineup math under your read instead of someone else's.

Run your first sim now — $14.99/month, cancel anytime. New to it? Try the Sim Wizard — six guided questions, no salary tweaking, results in 90 seconds. Either way you unlock the full toolkit that produced every read above: the 10,000-race projections, the Likely Finishes ranges, the Normalized Single Race breakdown, and the top-20 optimal lineup grid. If the Larson bet, the Bubba PD play, or the Bell warning sharpened your slate, the tool that generated them is the move this week.

How these numbers are made

Everything above is direct output from the FASTLAP Race Simulator: 10,000 simulated runnings of Sunday's race built from Pocono history, intermediate-track form, the D-5284/D-5292 tire combination, dominance data, pit crew speed, and Saturday's practice long-run pace. Win %, top-5/top-10 probabilities, optimal-lineup rates, mean DK, and projected starting-position differential are all simulation output. Free accounts get the data boards; FASTLAP Pro gets you the simulator that generated them.

Projections are statistical estimates, not guarantees. Lines and starting positions referenced were current at publication and may change.