OVERALL RECORD: 46-35 (56.8%) --- UNITS: +9.29u
*All 1u flat bets
Royals ML +123
Royals RL (+1.5) -175
Mariners ML -144
woa gutsy call on the Royals ML. Do you really trust Lugo to contain the Rays in 6-7 innings? I understand that Rays are regressing for the past weeks but this is a tough spot and not that good of a value for just +123 for Royals ML but good luck on your play! When bullpen comes in I dont think Royals has any advantage. Royals lead the series 2-1 and I think Rays will even it today.
woa gutsy call on the Royals ML. Do you really trust Lugo to contain the Rays in 6-7 innings? I understand that Rays are regressing for the past weeks but this is a tough spot and not that good of a value for just +123 for Royals ML but good luck on your play! When bullpen comes in I dont think Royals has any advantage. Royals lead the series 2-1 and I think Rays will even it today.
@Way2Good
The model points to where there is +EV. Doesn’t mean guaranteed win. Just where there is found value between model expectations and the actual line.
@Way2Good
The model points to where there is +EV. Doesn’t mean guaranteed win. Just where there is found value between model expectations and the actual line.
How are they +EV at that angle? Curious with it. Lugo is definitely not an ace pitcher, Rays is dominant at home and he barely gets 4+ strikeouts in a game. Lugo has 3.69 ERA on the surface, but the underlying is ugly. Expected ERA of 5.20 (15th percentile), 11th percentile in expected BAA, 4th percentile in whiff, 19th percentile in barrel. Just 66 strikeouts in 85.1 innings, and he failed to get five strikeouts in each of his three June starts, with zero strikeouts over six innings his last time out. He gets squared up. If maybe +140 or higher then I see the value, but at only +123 I highly doubt it.
How are they +EV at that angle? Curious with it. Lugo is definitely not an ace pitcher, Rays is dominant at home and he barely gets 4+ strikeouts in a game. Lugo has 3.69 ERA on the surface, but the underlying is ugly. Expected ERA of 5.20 (15th percentile), 11th percentile in expected BAA, 4th percentile in whiff, 19th percentile in barrel. Just 66 strikeouts in 85.1 innings, and he failed to get five strikeouts in each of his three June starts, with zero strikeouts over six innings his last time out. He gets squared up. If maybe +140 or higher then I see the value, but at only +123 I highly doubt it.
I am not disagreeing necessarily with what you say your model says about +EV.
But for you to see an edge of 5-6% you are saying your model thinks the line should have been +109 to +112.
That is what you see for that game?
I had it way different. I think the line was very deflated because of how well KC has played this series and how poorly TB played. I think it should have been way more in line with the other games.
BOL either way ![]()
I am not disagreeing necessarily with what you say your model says about +EV.
But for you to see an edge of 5-6% you are saying your model thinks the line should have been +109 to +112.
That is what you see for that game?
I had it way different. I think the line was very deflated because of how well KC has played this series and how poorly TB played. I think it should have been way more in line with the other games.
BOL either way ![]()
@Raiders22
I have multiple models running alongside this model. Each with its own way of analyzing. One of the other models is firmly on the Rays. This model has been by far the most consistent. I don’t nitpick every individual game. The way you or your model are spitting out expectations will have different parameters/data on the backend compared to this model.
My suggestion is to follow along and compare your plays against the model. When your plays match the model, what is the W/L, P/L and ROI? When you are against the model, what are your stats on those plays? You can use the resources to build out an increased edge.
@Raiders22
I have multiple models running alongside this model. Each with its own way of analyzing. One of the other models is firmly on the Rays. This model has been by far the most consistent. I don’t nitpick every individual game. The way you or your model are spitting out expectations will have different parameters/data on the backend compared to this model.
My suggestion is to follow along and compare your plays against the model. When your plays match the model, what is the W/L, P/L and ROI? When you are against the model, what are your stats on those plays? You can use the resources to build out an increased edge.
@Raiders22
probably that is the best way to say it. Tampa was horribly flat the first two games. If I would price Royals for this game I would put them at +140 or better but for sure bookmakers know better and putting them at +120 was really making it look sharp. I took Rays -0.5 f5 at +102 and it cashed easily. No more plays for me for this game.
@Raiders22
probably that is the best way to say it. Tampa was horribly flat the first two games. If I would price Royals for this game I would put them at +140 or better but for sure bookmakers know better and putting them at +120 was really making it look sharp. I took Rays -0.5 f5 at +102 and it cashed easily. No more plays for me for this game.
Yessir. If you are modeling something that uses stats that are giving you a good 5-6% edge in MLB consistently that is about what you want.
I just do not know what type of stats would show a line +109 to +112 with those teams or those starting pitchers is what I am saying.
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Yessir. If you are modeling something that uses stats that are giving you a good 5-6% edge in MLB consistently that is about what you want.
I just do not know what type of stats would show a line +109 to +112 with those teams or those starting pitchers is what I am saying.
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I think that is about right. I had it a tad higher. But that is the general idea -- to catch something that the market has underpriced by enough to give you a theoretical edge.
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I think that is about right. I had it a tad higher. But that is the general idea -- to catch something that the market has underpriced by enough to give you a theoretical edge.
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@Raiders22
Just want to thank you btw. I recalibrate every 2-3 days. My recalibration 2 nights ago had a bug that reverted all stats to solely just the year to date. Would not have caught this until after tonight's games, if you didn't question and make me take a look at everything. KC would have become a no play. Mariners ML would still have been a play. Appreciate your feedback. Saved me money on the rest of tonight's slate
@Raiders22
Just want to thank you btw. I recalibrate every 2-3 days. My recalibration 2 nights ago had a bug that reverted all stats to solely just the year to date. Would not have caught this until after tonight's games, if you didn't question and make me take a look at everything. KC would have become a no play. Mariners ML would still have been a play. Appreciate your feedback. Saved me money on the rest of tonight's slate
Not neccesarily true at all. Percentage is percentage -- no matter the total. ![]()
Not neccesarily true at all. Percentage is percentage -- no matter the total. ![]()

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