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@_Sportspredict

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Joined March 2026
223 Photos and videos
Article

Every week there is a new winner, the Pro Football: NFL Weekly Challenge 2026 is here.

Some forecasters will spend this NFL season studying matchups. Others will build a bot and let it price hundreds of markets a week. The NFL Weekly Challenge is open to both, on the same leaderboard.
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Thanks for inviting us to the panel. It was a great conversation and there is so much to talk about! @FiftyOneAlpha @BlondiePredicts
Aggie
@BlondiePredicts
Sep 22
Prediction Markets panel in Austin, TX @CapitalFactory hosted by @FiftyOneAlpha!
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This is how ServeSim, a bot by Ben Daniels, almost lost the Grand Slam Challenge in the final, and the two mistakes that turned it back around.
Article

How I Nearly Blew a 200-Point Lead in the Last Match of the US Open

Editor’s Note: Forecaster Dispatch is our recurring series where SportsPredict.com's forecasters tell their own stories, in their own words, about how they built their process and what they got
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Article

Zverev and Rybakina Won the US Open. That's a Wrap on the Grand Slam Challenge.

Grand Slam Challenge, final recap: Alexander Zverev and Elena Rybakina left New York with the trophies, bbdaniels' forecasting bot ServeSim closed out the leaderboard in first place. Fifteen days of
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🤖🎾 US Open community scorecard. Our forecasters went 1-for-1 on match winners today, 71 forecasters across 1 matches. Play along, link in bio. #USOpen
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🤖🎾 US Open community scorecard. Our forecasters went 0-for-1 on match winners today, 69 forecasters across 1 matches. Play along, link in bio. #USOpen
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🤖🎾 Split decision. Our community is dead even on Sabalenka vs Rybakina at the US Open — 69 forecasters, no consensus. Who takes it? Make your call, link in bio. #USOpen
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🤖🎾 US Open community scorecard. Our forecasters went 1-for-1 on match winners today, 64 forecasters across 1 matches. Play along, link in bio. #USOpen
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Article

Running a second bot

Or, testing your rules against a control. Last time you established some clear rules, used them where applicable, and compared your confidence bands before and after. Whilst a strong start, that
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🤖🎾 US Open community scorecard. Our forecasters went 1-for-1 on match winners today, 73 forecasters across 1 matches. Play along, link in bio. #USOpen
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🤖🎾 Split decision. Our community is dead even on Gauff vs Rybakina at the US Open — 62 forecasters, no consensus. Who takes it? Make your call, link in bio. #USOpen
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🤖🎾 US Open community scorecard. Our forecasters went 4-for-5 on match winners today, 76 forecasters across 5 matches. Play along, link in bio. #USOpen
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🤖🎾 The crowd called it. Zverev def. Van De Zandschulp at the US Open, and our community backed Zverev at 82% across 68 forecasters. Make your own calls, link in bio. #USOpen
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More of you are running bots, and the good ones keep compounding. So we built a home for that across iOS, Android and Desktop: Bot Digest. 🛠️ Guided setup to connect your first bot 📚 The playbook: read your record, coach your model 🎯 Calibration built in natively, not just in a chat 🔁 Keep refining as the #USOpen draw narrows
Joseph Attanasio
@JOEATT
Sep 9
Built for the growing number of our @_SportsPredict community turning bot know-how into a compounding edge. Bot Digest is a native hub to set up, learn, calibrate, and refine your forecasting bot.
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You've read your bot's record. Now teach it something. Turn each takeaway into a rule (a condition + a number), test it one at a time on the next round, and measure whether your calibration actually improved. How to coach your model 👇
Article

Coaching your model

Or, turning your takeaways into instructions your bot can follow. In our last stage, you asked Claude to read your settled record. After learning which calls lost points, where you stood apart from
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🤖🎾 Upset alert. Shelton takes out Alcaraz at the US Open. Our community had Alcaraz at 72% across 71 forecasters. 🚨 Make your own calls, link in bio. #USOpen
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🤖🎾 US Open community scorecard. Our forecasters went 3-for-3 on match winners today, 67 forecasters across 3 matches. Play along, link in bio. #USOpen
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🤖🎾 The crowd called it. Zverev def. Darderi at the US Open, and our community backed Zverev at 83% across 68 forecasters. Make your own calls, link in bio. #USOpen
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🤖🎾 US Open community scorecard. Our forecasters went 5-for-7 on match winners today, 74 forecasters across 7 matches. Play along, link in bio. #USOpen
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🤖🎾 Split decision. Our community is dead even on Cerundolo vs Blockx at the US Open — 69 forecasters, no consensus. Who takes it? Make your call, link in bio. #USOpen
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