Making my own GTA trailer featuring myself with Pika's Director's Suite, great progress so far... ๐ค
It's waitlist only for now, hope everyone gets access soon :)
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UCL QF Second Leg ๐ฏ
Fading Barcelona at Metropolitano
Whale signals: 4/5 experts betting Barca No ($67K), one at 6x their usual size
Plays:
โข Barca No
โข Barca -1.5 No
โข Barca -2.5 No
Simeone's fortress + second leg at home = road favorites struggle
๐พ ATP Monte Carlo SF: Alcaraz vs Vacherot
Alcaraz is the rightful favorite โ 50,000 sims have him at 92%, right where the market has him. No edge on the outright.
But look at the score distribution: ~30% chance this goes 3 sets.
Vacherot has won 4 straight at home, taking out top 30 players and riding Monaco's crowd. He's playing the best tennis of his career right now. Alcaraz on clay rarely loses, but he does drop sets โ and with the final one day away, there's little reason to grind if he doesn't have to.
The value isn't fading Alcaraz. It's the "Vacherot wins a set" market.
Over 2.5 sets / Vacherot +1.5 if the price is right.
#ATPMonteCarlo #Alcaraz #Vacherot #Tennis
๐พ ATP Monte Carlo Semi-Final
Ran 50,000 sims on Zverev vs Sinner. Came out Sinner 82%, market says the same.
No edge, no drama. Just believe in Sinner.
The guy wins 2-3% more points than Zverev on every rally length. Over a match that's a landslide. His form right now is unbeatable.
#ATPMonteCarlo #Sinner
๐พ ATP Monte Carlo QF: Vacherot vs de Minaur
Ran 50,000 Monte Carlo sims on this one.
Model says: de Minaur 75-78%, Vacherot 22-25%
Market has Vacherot at 34ยข.
Vacherot is on a tear โ just knocked off Musetti and Berrettini back to back, playing at home in Monaco. The crowd will be loud. But his clay sample is paper thin and de Minaur's quietly become a legit clay player this year (67% win rate L52, up from 52% career).
Market is pricing the hot streak and the hometown story. Model says that's about 10ยข too generous for Vacherot.
De Minaur at 66ยข looks like value.
#ATPMonteCarlo #Tennis #Vacherot #DeMinaur #MonteCarlo
๐พ ATP Monte Carlo QF: Fonseca vs Zverev
Ran 50,000 Monte Carlo simulations on this one.
Model says: Zverev 60%, Fonseca 40%
Market says: Zverev 60%
Dead on. No edge either way.
Monte Carlo is the slowest clay on tour โ Zverev's serve gets dampened but his 2nd serve has quietly improved this year (55% won on clay vs 50% career). Fonseca is 0-4 vs top 10 in the last year.
Zverev is the right favorite, but 40% for the 19yo isn't nothing. Coin flip this is not โ but it's closer than the 150 Elo gap suggests.
No position here. Market got this one right. (Or small position?)
#ATPMonteCarlo #Tennis #Fonseca #Zverev
@GenReasoning this is really informative! As someone who come from ML background this is what Iโve experienced with current models - if you ask the model to design strategies fully autonomously it fails all the time, works better if you give them extremely detailed step by step guidance
โฝ๏ธ UCL QF Whale Watch, Night 2
Barca vs Atleti: 75% of Totals action on Over โ sharps expect goals. Our take: fade Barca on the ML, Atleti has the edge.
PSG vs Liverpool: only 4 sharps in, no consensus. Our call: PSG gets it done at the Parc, but no blowout. Fade the -1.5 and -2.5.
#UCL #Polymarket #ChampionsLeague
๐พ Monte Carlo R2: Musetti vs Vacherot
โ Our MC sim: Musetti 70 / Vacherot 30.
โ Musetti is on a serious clay run โ 18-4 on clay last 12 months (81.8% W-L), 64.6% career clay W-L across 113 matches. French Open semifinalist, Olympic bronze medalist on clay. His grinding game is built for
slow Monte Carlo conditions.
โ Vacherot is a hard court player who barely plays clay โ 13 career clay matches, 38.5% W-L, and just 1-2 last 12 months. His hold rate collapses on clay (57% last year).
โ Musetti should win this comfortably. Straight sets in 41% of simulations.
โ ๐พ Monte Carlo R1: Rublev vs Bergs
โ Market: Rublev 71 / Bergs 29
โ Our MC sim agrees: Rublev 74 / Bergs 26. Slight edge on Rublev but market is priced about right.
โ Rublev is a proven slow-clay player โ won Monte Carlo in 2023, 65.7% career clay W-L across 134 matches, 26.7% break rate. His grinding return game thrives when serves get neutralized on slow courts.
โ Bergs is primarily a hard court player โ only 38% W-L on clay across 21 career matches, just 2-4 last 12 months on the surface. Out of his element on slow clay.
โ Straight sets in 45% of sims. Rublev should handle this. Tiny edge to bet on.
โ ๐พ Monte Carlo R2: Medvedev vs Berrettini
โ Market: Medvedev 73 / Berrettini 27
โ Our MC sim has this much closer at 51/49. Berrettini's clay form is real โ 53% W-L last 12 months, 83% hold rate, and his Dominance Ratio on clay (1.07) is actually higher than on hard (0.99). His big serve
still works on slow clay.
โ But Monte Carlo historically has very few upsets โ top seeds defend well here. Past winners are all elite (Alcaraz, Tsitsipas x3, Rublev, Nadal x11). Medvedev is a top-5 player at peak form, exactly the type
who wins this tournament.
โ Play: Small Berrettini at 27ยข for value, but don't size big. Tournament prior favors the chalk.
โ ๐พ Monte Carlo R2: Lehecka vs Tabilo
โ Market: Lehecka 56 / Tabilo 44
โ Our MC sim has this as a true coin flip: 50/50. Tabilo at 44ยข has 6 cents of value vs our model.
โ Tabilo is the clay specialist โ 12-6 on clay last 12 months, 81% hold rate. Lehecka has the higher ranking but his clay record is just 51% career.
โ Play: Small Tabilo at 44ยข for the value first. Then dip-buy both sides live as the market overreacts to each set result.