Fanap

Fanap is the AI FPL manager for competitive players who are tired of gut-feel decisions. Unlike data dashboards that show you numbers, Fanap tells you what to do and why, so you spend less time researching and more time climbing your mini-league.

That's not a model failure, it's a reminder that low-probability outcomes still happen. The model doesn't say "this player will blank." It says "the data favours other options more." Sometimes the underdog delivers anyway. #FPL #GW34 fanap.sbs

The model scored Wirtz 53.5/100. Lowest of the five captain candidates. "Bad decision" tier. He scored 8 points. The highest return of any captain option.

First time the model didn't pick Bruno as #1. Watkins took the top spot at 82.3/100. He scored 2 points. Last week Watkins scored 16. This week, 2. S ame quality of decision, completely different outcome. That's the variance the model can't control, only the process.

Data captured before deadline. #FPL #GW34

GW34 cheat sheet: 👑 Captain: Watkins (82.3) — first time topping the model 📊 Alternative: Salah (76.7) — form is there, momentum isn't ⚠️ Knee-jerk: Haaland (242k selling, BGW but don't sell permanently) 👀 Mispriced: Chukwueze (week 9), Tolu (TOT home, FDR 2)

GW34 captain scores are in. For the first time since we started tracking, Bruno isn't #1. Watkins takes the top spot. Here's what the model says before deadline. 🧵

All of this, captain scores, knee-jerk flags, DGW analysis, captured before deadline, compared after. GW34 is next. The thread continues. fanap.sbs — free, no signup. #FPL #GW33

The knee-jerk and panic sell flags? That's where the edge is sharpest. Week after week, the data catches managers selling the wrong players at the wrong time.

Didn't get the pre-deadline thread out for GW33. But the data was captured before kickoff. Here's what the model said, and what actually happened. 🧵