@evenstevengg Placed 1 bet on Hardrock on a new p. $1000 on an anytime TD score. It hit. Limited to $10 the next day on everything.
Awful book; lying about a 2 million dollar ticket just shows how down bad @HardRockBet is
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not only are sportsbooks shady with limits, VIP programs, and signup bonuses, but they blatantly advertise slips that their terms and conditions don’t even allow….
Hardrock has a max cap of $1M payout for MLB
at a minimum, this should be a hefty fine by state regulators. But unfortunately we won’t see that happen… 😔
Hard Rock Bet@HardRockBet
A bettor turned $30 bucks into almost 2 MILLION… This is what a PERFECT parlay looks like 🤯
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@InDebtBet Still was wrong. But hey Dont spend that $50 profit all in one place now
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@Shawn_Farash Nope. They both aren’t good anymore at their sports is why they are both gone.
Bauer gets lit up overseas and Kap couldn’t play when Harbaugh left.
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Trevor Bauer is *ACTUALLY* being blackballed by a professional sports league.
Bauer has talent and the ability to play, but just isn't allowed to.
Everyone made a scene over Kaepernick... But not Bauer. Wonder why...
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A guy running quant models for a tennis betting syndicate DM'd me last month.
"We spend $40K/month on data feeds. What are you using?"
A webcam pointed at a tennis stream.
Not metaphorically.YOLO tracks both players and the ball 30fps. A second model maps the court to real meters. Every 5 seconds I get three numbers: aggression positioning, court coverage, rally intensity.
Those feed into a Bayesian engine. Beta prior on serve probability, updated every game, 15,000 Monte Carlo sims sampling from the posterior. Not point estimates - distributions with confidence intervals.
62% +/- 3% is a trade. 62% +/- 18% is noise. Most people never compute the interval.
"Okay but models are wrong"
That's why the model is only layer two out of five
Layer three connects Polymarket and a bookmaker simultaneously. When my model says 71%, Polymarket says 62%, bookmaker says 67% - something is mispriced.
Layer four is the unfair one. Claude reads every press conference transcript, news article, and social post from the last 48 hours. Extracts structured signals - injury flags, form deltas, surface comfort. JSON, not vibes.
A player mentioned shoulder tightness at a presser. Claude flagged injury probability 0.25. Bookmaker didn't adjust for 3 hours. Polymarket never did. I was already in
Layer five compares all four sources and finds the edge. Value, arbitrage, fade, or intel override when Claude catches something critical.
"What's your hit rate"
2,400 ATP matches backtested. Model alone: 61%. With market bridge: 67%. With Claude: 72%
Live 11 weeks: 247 contracts, 178 winners, +$14,200 from $1,800
He went quiet then wrote "my syndicate is rethinking our entire pipeline. We've been doing this 6 years and never used CV on live streams"
They spend $40K/month. My setup: a Claude subscription and an API key
Bot: @zostaff" target="_blank" rel="nofollow noopener">kreo.app/@zostaff
zostaff@zostaff
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@Tipsfromthebook Yes DK had a bunch of mistake tennis lines up this morning. Don’t act like some savant - anyone could have placed these.
And The fact DK lets you get down so much on these speaks volumes.
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I won a little over $25,000 in 15 minutes betting tennis 🎾
11AM on a random Wednesday… while I was supposed to be working. Instead, I was gambling my entire paycheck away.
I told myself I’d stop if I won. That lie felt real in the moment. It always does.
Over the next three days, I gave every dollar back. Not just the winnings… but more. Chasing, lying, hiding.
Lying to people I love. Lying about where I was. Lying about why I looked so drained. Lying straight through my teeth while feeling completely empty inside.
And when it was all gone, I sat there in silence… sick to my stomach, staring at my phone, wondering how I let it happen again.
That’s the part people don’t see. Not the win… but what comes after.
The low is darker than the high is ever worth.
My DM’s are open. Reach out if you need help… Be apart of the miracle.
Blaise ❤️
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tldr: claude is a whale, kalshi has no rules, i got past-posted on trade 1
3 things i learned in week 1 of rfq making on kalshi
→ your v1 will suck. i got past-posted on my first fill.
→ tickers are inconsistent. for the phillips/jourdain MMA fight saturday night, kalshi had valid tickers for JOU-PHI and PHI-JOU. ah yes, the ever elusive r-squared = 1 correlation play. good for you.
→ claude is a whale. claude is a degenerate. claude does not value your money and it will cost you way more than the $200 max subscription in EV if you let claude mind your storefront. know your data better than your ai.
h/t @goldenpants013 @Sports__Proj and their excellent podcast
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This 30 minute Roboflow interview will teach you more about shipping real-world Computer Vision products than most ML engineers learn in 3 years at big tech.
Bookmark and watch, no matter what. It'll be the most productive thing you do this week.
Marc Zoghby, co-founder of PlayVision, walks through exactly how they turn raw basketball footage into full scouting reports.
They track every player, the ball, and complex events like "good vs bad passes" - with actual business logic behind the labels.
No hand-waving, no hype. He shows the demo, then opens the hood:
> how they picked the right OCR and pose estimation models instead of defaulting to the biggest one
> their data curation and active learning loop (the part nobody posts about on LinkedIn)
> how they deal with gym lighting, motion blur, and all the ugly real-world CV problems
> his jump from MedTech to sports AI and what actually transfers
> concrete advice for anyone building real-world AI products, not demos
Trading here: @zostaff" target="_blank" rel="nofollow noopener">kreo.app/@zostaff
If you're working on CV, sports tech, or any vertical AI product - this is 30 minutes of compressed operator knowledge you won't find in papers or Twitter threads.
zostaff@zostaff
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AI BASKETBALL ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, OPENCV, AND PYTHON.
Take any NBA broadcast. Any camera angle. Any resolution. Feed it into the system.
YOLO finds every player and the ball. Frame by frame. No manual annotation. No pre-labeled data.The model just sees the court and understands it.
Zero-shot classification looks at jersey pixels and decides who plays for whom. Two teams separated in milliseconds. Without ever being told the team names.
But here's where it gets wild.
Court keypoint detection identifies the geometry of the playing surface. Homography transforms the broadcast camera into a top-down tactical map. Real meters. Real coordinates. From a flat 2D video.
Now every player has a position on a real court. Every movement becomes a data point. Every pass becomes a vector.
Speed. Distance. Possession time. Pass networks. All extracted from nothing but pixels.
No GPS. No chips in the ball. No million-dollar Second Spectrum setup. A Python script and a GPU.
The full pipeline is open source. The tutorial walks through every line of code. From detection to transformation to analytics output.
Teams used to pay six figures for this data. Now you build it in an afternoon.
Computer vision didn't just enter basketball. It democratized it.
zostaff@zostaff
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30 minutes of video that teach the AI stack behind basketball prediction systems on Polymarket
one trader pulled $1.44M in 2 months running exactly this
Python + RF-DETR + SAM2
builds player tracking, jersey number recognition, and shot classification from raw match footage
Same stack powers the prediction systems in the article below
Bookmark this & give it 30 minutes today
Paone@paonx_eth
This 1-hour tutorial on building a Football AI is the foundation traders use to build their own sports prediction systems one of them made $504K in 1 month using this exact approach Python + YOLO + OpenCV Detection, tracking, team classification from scratch Same stack powers the prediction systems in the article below Bookmark this & give it 1 hour today
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@NBA_NewYork New Gatorade ad campaign.
Laid KAT & Ant today to say how good the Gatorade is. And the clips, free to stream, is up all over.
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"This mf good"
–– KAT can't get over the Gatorade
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@dookiesniffa @Stakes_Royale He’s gotta Post lifetime on DK… which he won’t.
You are correct it’s not possible to do every month
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@Stakes_Royale Nah go ahead I can’t get 2 dollars on a line but somehow you’re beating them for 6 figs a months please tell me I’m curious
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@thirdmetax He’s 💯 right. The longer you win and do this; It has to be a higher amount to get the feels.
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Togi reveals gambling has fried his dopamine so badly that he needs to win over $500,000 to feel excited
“I lost 50,000 last week and I didn’t think about it not even while it was happening it’s just like alright whatever”
“gambling has fried my dopamine especially gambling on stimulants”
“to really be excited I have to win over $500,000 even though my net worth isn’t even like that’s spectacular the stakes get exponentially higher and higher and higher”
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@_betlogic It adds up, I’m lucky to have a juiced account. DK probably lost a ton on that Peraza home run
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The optimal play for this cashed!
2/2 on this promo so far this season, one of the best promos offered
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