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Pat 🧘♂️⚾️
7.5K posts

Pat 🧘♂️⚾️
@IIPatll
25 | @BlueprintLLC_ | @FTClan2k | @B4TheFame__ | Pretty decent at modeling sports
NY x NJ Katılım Haziran 2019
722 Takip Edilen2.4K Takipçiler

@j17s_ No, you're right. That is a solid return, and that's probably how I'd use the boost as I said (I'd go for something more likely to win than a +10000 for boosts typically).
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This comes out to around +5000 fair value based on my projections so I sprinkled on this

Pat 🧘♂️⚾️@IIPatll
May 15 Strikeout Model Projections
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@j17s_ FD and DK seem like they’ll still show/give me the same boosts as everyone but the limits on them are usually very low compared to my unit size. I see a boost on DK for 25%. Can get these guys for 7/7/6 boosted from +2800 to +3600. That’s where I’d probably use the boost tbh
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@Novaru00 Same thing happened with Messick yesterday ironically. 2 Ks in the 7th. Think I’m 0-2 on McLean unders now and both times he went over his line in the 7th inning (the only 2 games he’s pitched 7+ innings so far this season). Just my luck
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@JFar2Nice If $50 was my unit size, I’d arb or low hold for a guaranteed ~$5,000. 100 units risk free sounds good to me. Would have to be MLs, odds could be anything. Feel like that has to be the optimal approach
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@Novaru00 I am posting/tracking them. You’re right that McCullers is one of those examples. I meant that it counts to the +5u number (bets I’ve made since adjustment) but doesn’t count towards the +29u number for the season (doesn’t fit criteria for the filters).
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Since making an adjustment to my criteria for betting/tracking FD and DK o/u lines:
29 bets
P/L: +5.89 units
Expected P/L: +5.11
ROI%: 18.6%
Expected ROI%: 16.1%
Very small sample but encouraging results so far after making the adjustment.
Pat 🧘♂️⚾️@IIPatll
No longer betting/tracking all o/u lines on FanDuel and DraftKings that my model shows a greater than 5% edge on. Will be making a slight adjustment going forward that makes sense and would have been absolutely printing if I had been doing this all along (shown in picture)...
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@BeefStew911 The model is essentially an inverse cumulative distribution function that estimates the probabilities of pitchers reaching a certain amount strikeouts based on a handful of inputs. My purpose of using it is to identify which over/under lines for strikeouts have value
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@IIPatll I like to play a little more conservative but base on this model and it's been humming. Nice work.
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