NFL

I Went 18–9 Last Week Using AI Player Props in the NFL Playoffs

I Went 18–9 Last Week Using AI Player Props in the NFL Playoffs

January 25, 2026

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I Went 18–9 Last Week Using AI Player Props. Here’s Why It Works in the NFL Playoffs

NFL playoff betting is different. Fewer games, tighter lines, and a lot more emotion. That’s usually where things go sideways for most bettors.

Last week, I went 18–9 using player props surfaced by Rithmm’s AI models. Not by chasing narratives. Not by guessing. Just by trusting what the models were consistently flagging.

That stretch included simple overs, low thresholds, and players most people would scroll past. One of today’s examples fits that same pattern.

Konata Mumpfield Over 2.5 Receiving Yards

At first glance, this looks almost too small to matter. That’s exactly why it matters.

The model projects 14.4 receiving yards with a win probability north of 78 percent. This is not about predicting a big game. It’s about recognizing when the bar is set far below a player’s expected involvement.

Why This Keeps Working in the Playoffs

The biggest shift I noticed using Rithmm is that it changes what you pay attention to.

Instead of asking “Who’s going to go off?” the model forces a different question.
“What does this player realistically need to do for this bet to win?”

In the playoffs, defenses sell out to stop primary options. That opens up small, defined roles for secondary players. Markets often ignore those roles because they’re boring. Models don’t.

For a prop like this, one short catch clears the number. The model isn’t asking for perfection. It’s asking whether the player will be on the field in meaningful moments.

That’s a much easier question to answer.

What I’ve Learned Following the Model

Going 18–9 wasn’t about being aggressive. It was about being selective.

Most of the wins came from props with:
Low thresholds
Clear roles
Minimal dependency on game script

Those are exactly the types of bets people overlook, especially during the playoffs when everyone is focused on stars and storylines.

The AI doesn’t care about any of that. It just keeps surfacing the same types of opportunities over and over again.

Why I Trust It More in the Playoffs Than the Regular Season

Regular season betting has chaos. Injuries, rest games, weird rotations.

Playoff football strips that away. Coaches shorten rotations. Roles stabilize. Usage becomes more predictable.

That’s where models shine.

When you combine playoff stability with AI filtering, you stop forcing bets and start reacting only when the numbers actually line up.

That’s been the biggest difference for me.

The Bottom Line

I didn’t go 18–9 because I suddenly got smarter about football. I went 18–9 because I stopped guessing and started letting a model narrow the slate for me.

Konata Mumpfield over 2.5 receiving yards fits the same pattern as the wins from last week. Simple number. Clear role. Line that the model believes is too low.

That’s how I’m approaching the NFL playoffs now. Fewer bets. Better spots. Let the math do the work.

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