TC Data Consultants

He’s clearly running an ethically dubious businesses which offer no chance of profit for his subscribers. The problem is that HMRC don’t really care about that. If his businesses are shutting because they are insolvent and going into liquidation and HMRC can prove that he’s misappropriated funds then he can be banned from being a director. Most likely he’s just shutting them down as they become known. I haven’t looked at the filing history though so could easily be wrong! People just need to be better educated and not fall for the nonsense imo.

@JedL2b @willothewizard Respectfully disagree. Think more people are aware of him now. I’d be very confident based on engagement levels, his members are down. It’s a sales marketing model, it’s predictable

I see the fraudster that is Jason Haddigan (sorry George White) is at it again. Dissolved last company & now trading under G.White subscriptions ltd. If only those Twitter pages dedicated to taking him down actually focused on the important stuff rather than scrutinising his tips

Automating your Betfair strategy doesn’t have to be complicated. I build custom betting bots tailored to your edge: ✅ Automated execution ✅ Data analysis & modelling ✅ Football, horse racing & tennis Turn ideas into systems. DM me if you want yours built 👇

Quick follow-up to the elevation pipeline 👇 I've been linking track elevation profiles to historical results for favourites... • Flat tracks → 34.1% win rate • Hilly + downhill finish → 30.2% Not huge, but consistent across a big sample. Downhill finishes seem to introduce more variance → weaker favourite reliability. This is where combining open elevation data + racing data starts to get interesting. Will keep sharing as this develops 📊

@con_clancy @footballracing Yes definitely - it’s got some interesting angles. The issue is actually getting the correct coordinates for each track, to avoid taking surrounding hills / tall buildings etc. into account, which skew the elevation data.

@tcdc_data @footballracing Cool idea, the portion of the track compared with sectionals during could throw up interesting results. For both assessing performance and in play trading. Courses like Goodwood, Brighton, Galway, Hexham, Cheltenham and others with quirks and undulations.

I'm currently building an open-data pipeline to extract elevation profiles for 50+ UK and IRE racecourses 🏇 Sources: OpenStreetMap + Open-Meteo elevation API Sample results: 📈 Goodwood: 45m range, 158m total ascent 📈 Salisbury: 42m range, +32m uphill finish 📉 Kempton: 5m range (essentially flat) On its own, interesting. Combined with a historical horse racing data source like @footballracing, you could start building real edge — matching course undulation profiles against horse form on similar terrain, pace ratings, and BSP price movement patterns. The kind of signal that's hiding in plain sight. All open data - just needs the pipeline building. 🙌 Need help exploring what open data can do for your models? DM me.

@AusSportsTrader Done 👍

@tcdc_data Can you DM pls, I’ve tried to send you a message and won’t go through. Cheers 👍🏻

This is really interesting - I've done work on elevation profiles for projects in the past, albeit not betting related! Using data from OSM and Open-Meteo's free elevation API, I came up with an elevation range of 31m for Hexham - not too dissimilar to your TPD output. Hexham also has a 6m downhill run-in to the finish and a 94m total ascent across the whole circuit geometry. This is less useful though as it takes into account any of the track variations. I guess the question is does this insight have any value?!

It would appear there is a whopping 32 m between the lowest and highest point on the course.

Delivered a custom data scraper today🕷️ ✅ 500+ property listings collected daily ✅ Structured, clean data straight into a SQL DB ✅ Data is now client owned and ready for analysis ✅ Zero manual work for the client Businesses are sitting on hours of wasted time doing this stuff manually. Need data collected from a website, portal or API? 📩 DM me — I'll build it for you.

@SportsTraderBF @RoddersTrades1 Get in touch if you have anything I can help with 👍

@tcdc_data @RoddersTrades1 Yes I did tried

Most tipsters can’t show you three years of verified P&L. That’s not an accident. It’s a business model. Hope sells better than honesty — and variance does a good job of mimicking edge in the short term. The alternative is a system backed by data. One where the edge is in the process, not the personality. Data-driven systems beat tipsters every time. I’ll show you how to build one. 📊 Real data. Real edge. No subscription. 🔔 Follow for more on building betting systems that actually work. 👇 Drop a comment if you’re tired of paying for noise.

Everyone says "I should build a model." Hardly anyone does. Usually because they don't know where to start. Here's what you actually need. 👇 💡 An idea - A simple hypothesis. "Does recent form affect win probability?" is enough. 📊 A data source - Historical race data — form, dates, odds etc. @footballracing is a great place to start. 🔢 Features - The variables you think matter. Last finish position. Days since last run. Field size. For example. ✅ A way to test it - A spreadsheet is fine. Load the data, apply your filters, see if the pattern holds. That's it. No code. No fancy tools. Just a question and the discipline to test it honestly. 📊 Next up — how to structure your data. Follow to make sure you don't miss it!

Relatable? 😅 Spent months building a data model to eliminate gut feel from my betting. One horse name and it all went out the window. The model was right. It's always right. 🔔 Follow me — I'll show you how to build one so you stop ignoring yours.

@imbezm8 Depends on the scope - feel free to DM if you’d like to discuss.

@tcdc_data What would be the cost of something like this?

Built a custom greyhound Betfair SP analytics dashboard for a client this week — 7.6M rows of Betfair exchange data covering GBR, AUS and NZL from 2020 to today. 🐕 Automated daily scraping, full form history per dog (LTO result, days since last run, win %), back and lay P&L with commission, BSP rank, stall draw. Filter by country, date range, track, BSP band, runners, rank. Export to CSV / Excel if required. All running on a private Linux VPS with PostgreSQL. Get in touch if you have any similar requirements.

@peterhunnybun @fbd_rbd @peterhunnybun doesn’t seem to have come though. Send me a DM on here if you like.

@fbd_rbd @tcdc_data sent you an email about a project via the contact form on your website.

Brand new tools Cleaner visuals Smarter insights The new Racing Bet Data dashboard outputs are here👇 racing-bet-data.com/dashboard/ 🎥 Watch the walkthrough: youtu.be/TmM4SpD3I1k #HorseRacing #BettingData #Betfair #Trading

@Pamish77 @Gurds_LTD No problem - DM me and we’ll go from there.

@tcdc_data @Gurds_LTD Good day. Let's talk and see if you can assist me with automation

Thanks @Gurds_LTD - great to work with you 👍