Man, let me tell you, grabbing these FPL price changes every day used to be a proper headache. I finally figured out a system, and I’m sharing the raw results with you right now, along with the whole story of why I even bothered to waste my time setting this whole thing up.
I managed to pull the daily movers list—the guys whose value shot up overnight, and the unfortunate souls whose value tanked. This list is the core of smart FPL management, right? You gotta know who to trade before you lose the cash or miss out on the profit.
The Risers and Fallers List I Managed to Grab
Look, I can’t give you the exact real-time feed because the official game only updates overnight, but this is the stuff I managed to get the moment the data became visible early this morning. This is the simple output I built for myself:
- Big Risers Today:
- Player X (Midfielder) – Went up 0.1M.
- Player Y (Defender) – Went up 0.1M.
- Player Z (Forward) – Went up 0.2M (The big jump, watch this guy).
- Big Fallers Today:
- Player A (Defender) – Dropped 0.1M.
- Player B (Midfielder) – Dropped 0.1M.
This simple table saves me about thirty panic checks throughout the day. I just wake up, look at this list I forced my machine to generate, and then I know if I need to rush a transfer or if I can enjoy my morning coffee. But why did I go to the trouble of automating this? It wasn’t just about saving five minutes.
The Nightmare That Made Me Build This Thing
I’ve been playing FPL for years, mostly just for fun with my mates, but we’ve got a serious side-pot running this season. The problem is, price changes usually hit around 3 AM UK time. I live five hours ahead of that, and I like my sleep.
Last month, things went sideways. I needed to dump this one defender, let’s call him “Gary,” because he was injured and dropping like a stone. I knew he was going to drop 0.1M that night. I told myself, “Wake up, make the transfer, go back to bed.”
My alarm went off at 3 AM. I was half-asleep. I grabbed my phone, opened the FPL app, and everything looked fine. The transfer deadline was ages away. So I closed the app and crashed out again. Woke up properly at 7 AM, happy as Larry, ready to finalize the transfer.
BAM. Gary had already dropped. And because he was a popular pick when I bought him, I had to sell him for 0.2M less than I paid. That 0.2M loss cost me the exact amount of money I needed to afford a crucial upgrade for my striker. I missed out on a 15-point haul that weekend because of that single, stupid, early morning brain fog transfer failure.
That 15 points? It meant I slipped from second to third in the league table. And here is the kicker: the guy who beat me into second place was my brother-in-law, Steve. Steve, who has been bragging about his FPL prowess at every single family dinner since 2018. If I had stayed in second, he would have stayed third. He now texts me pictures of my team every time he wins a head-to-head. I couldn’t stand it.
I realized right there, sitting at the breakfast table, listening to Steve talk about how “some people just don’t have the mental fortitude for the FPL grind,” that I was never going to rely on my own half-awake brain again.
How I Got This Data Without Waking Up Early
I’m not a professional coder, not even close. But I’m good at making the computer do the boring stuff for me. I needed a reliable source that wasn’t the main FPL site—that site is too sluggish for these types of quick checks. I went hunting around the usual places where FPL data surfaces quickly.
I found a few websites that are damn good at tracking the underlying “Transfer In” and “Transfer Out” numbers—the numbers that actually dictate the price changes. You know, the percentage ownership required for a shift.
What I did was simple: I set up a script—a little digital helper—that goes and looks at those key data points every hour, starting from about 10 PM the night before until 8 AM the next morning. It just sits there, watching the numbers climb and fall.
When the script sees that a player’s transfer ratio has hit the critical threshold (usually around 100% net transfers to trigger a change), it marks the player. Then, when the actual official price change finally happens in the wee hours, my script immediately captures the final list of who moved and by how much.
I told the machine: “When you have the final list, just write it down in a file I can see easily, and don’t bother me about it.”
That little machine helper now saves me from checking the app, from setting alarms, and most importantly, from losing money and rank points just because I wanted to get a few hours of decent sleep. Now I just wake up, glance at the clean list it wrote for me, and make my decisions based on facts, not guesswork.
I’m never letting Steve win because of 0.1M again. Never.