NRL Round 11 ATS Value Watchlist

The case wasn’t “Coen Hess to jag one off a miracle.” It was a profile built on a decent base scoring rate, a friendly opponent weakness read, and enough recent try-scoring form to say: if the Cowboys get into the red zone, he’s a live body.

Footylab had him around a 21% chance to score, while the 15.00 quote priced him closer to 7%. That’s a massive gap for an ATS market — the sort of edge you rarely get without some obvious catch.

For a prop, the model liked the fundamentals: strong base scoring indicators, a match context that suggested enough attacking chances, and an opponent profile that didn’t scream “brick wall” for tries through the middle.

At 15.00, the market was basically saying he scores about once every 15 games. Footylab had it closer to once every five. When that’s your disagreement, you don’t need to overthink it — you just need the role to be real.

The model leaned heavily on a strong base scoring rate and a position profile that can pop in broken play or short-range situations. Add solid recent form indicators and an opponent weakness read that didn’t scare it off, and you’ve got a bench try that’s at least plausible.

At 11.00, you’re being paid like it’s a 9% shot. Footylab had it closer to 23%. That’s not a “nice little overlay” — that’s a genuine mismatch between what the price says and what the role can deliver.

Footylab’s lean came from the “spark” metrics — explosiveness and opportunity — plus a decent recent try-scoring read. When a five-eighth is rated as a genuine threat around the line, you’re not just hoping for a freak bounce; you’re buying a few different ways to get there.

The 13.00 quote implies roughly an 8% chance. Footylab had it around 21%. That’s the difference between “needs a miracle” and “needs one good moment.”

This was built on a balanced set of inputs: a respectable base scoring rate, an opponent weakness read that kept the door open, and a team attack environment that suggested the Cowboys would have enough ball to create chances.

Footylab had him at about a 20% scorer; the price said about 7%. That’s a big enough gap that you can wear a few “no try” outcomes and still be making a good bet over time.

Yes, the profile is elite — explosiveness, opportunity, base scoring rate, the lot. Nobody’s arguing he isn’t a try-scoring threat. The question is whether he should be priced like he’s better than a coin flip to score.

At 1.75, you’re paying for around a 57% chance. Footylab had him closer to 30%. That’s not “a bit short”; that’s a price that leaves almost no margin for the many ways an NRL game can deny even the best players a try.

The model still rates him highly on the core try-scoring ingredients: strong base rate, plenty of opportunity, and a healthy recent form signal. The issue isn’t “can he score?” It’s “does this price pay you properly for the times he doesn’t?”

At 1.62, the quote is asking you to accept a scoring chance north of 60%. Footylab had it around 30%. That’s a huge gap, and it’s why even great players can be a pass when the market gets greedy.

The model loves the underlying try-scoring profile — top-end base rate, explosiveness, and a strong positional scoring environment. If you’re building a list of players most likely to score, he’s on it.

But 1.57 implies roughly a 64% chance. Footylab had it closer to 31%. That’s a massive mismatch, and it means you’re paying a premium for a result that still fails more often than the price suggests.

The model liked the base scoring rate and recent form indicators, with enough opportunity to say he wasn’t just a passenger. The issue is that the Titans’ night never really gave fringe options much oxygen.

At 4.20, the market priced him around 24%, and Footylab was basically in the same postcode. When the numbers line up like that, your edge comes from timing and team news — not from the raw price.

The model’s support came more from the environment than the individual: strong team attack conditions, a workable opponent weakness read, and a match context that suggested points were available. The personal try-scoring signals were much thinner.

At 9.50, you’re buying about a 10.5% chance. Footylab only had it slightly higher, so it sat closer to “priced about right” than “must bet.” In other words: if you played it, you were leaning on the game going nuts — not on a rock-solid individual profile.

The model liked the base scoring rate and opportunity markers, with recent form doing enough to keep him on the radar. It wasn’t screaming mismatch; it was more a steady profile that can cash if the Bulldogs get their moments.

At 4.00, the market said 25%. Footylab had him a touch lower (around 23%), so there wasn’t much edge either way. If you backed it, you were basically saying the Bulldogs’ attacking share would land in the right spot.

The supporting signals leaned on general match and team environment more than anything player-specific. That’s not ideal for ATS, where you want at least one or two clear “this is how it happens” pathways.

At 13.00, it’s a long quote — and without a reliable scoring probability attached here, it’s hard to call it a bargain or a rip-off. It sits in the “maybe, but only if you’re confident in the role and minutes” category.

The model’s angle came from the combination of a decent positional scoring profile and a match environment that could still generate chances even against a strong opponent. It wasn’t a “guaranteed crash-over” read — more that the role wasn’t being respected in the price.

At 13.00, the market implied about a 7.7% chance. Footylab had it closer to 20%. That’s a meaningful overlay, even with Parramatta as the underdog in the matchup.

The model still rates him as a strong try-scoring threat — elite base rate, plenty of opportunity, and recent form that keeps him right at the top of the winger pool. Nothing surprising there.

The problem is 1.50. That price implies about a 67% chance of scoring, while Footylab had him around 31%. You can love the player and still hate the bet: you’re paying for a strike rate that’s extremely hard to sustain in a league where tries get shared.

There’s no question about role security — Newcastle have locked him in long-term, and the reporting also underlines just how involved he’s been in their finishing. Source: 2026 NRL signings tracker: The latest from all 17 clubs

The model loves the profile — strong base scoring, good opportunity, and enough explosiveness that one clean shift can do it. In a Manly side that put 46 on, it’s easy to see why the market wanted to be on.

But 1.56 implies about a 64% chance. Footylab had it around 31%. That’s a brutal gap, and it’s why short-priced wingers can be a trap even when their team is rolling.

Worth flagging for future weeks: he’s been hit with a one-game ban, which obviously changes the conversation the moment he’s not on the team sheet. Source: NRL Judiciary charges, suspension news, latest charges, details and suspension updates from the NRL Match Review Committee and judiciary