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moonslav59

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Everything posted by moonslav59

  1. With no Whitlock availability, we need Houck to go deeper than it looks like he will.
  2. A couple days back, I said maybe Schwarber might be our next Steve Pearce.
  3. Is Shaw like one of those Tampa Bay pick ups that play way over their heads for as long as needed then move on to other teams and continued mediocrity or worse?
  4. M's still puttin' the Flexen strain on the A's. 3-1 in the 6th, now.
  5. Yankee Opponents: 7 TOR 6 BAL 4 OAK 3 TBR 3 BOS 3 NYM 3 LAA 3 TEX 3 CLE 1 ATL 1 MIN Although OAK and LAA are not the best teams in MLB, they play them on the road after this game with ATL on the road. If they go 4-4 in these next 8 games, things might be very interesting. Remember, don't count the Sox out if they are down 1-2 with 9 to play. Last 9: NYY: 3 @ BOS, 3 @ TOR, 3 v TBR BOS: 3 v NYY, 3 @ BAL, 3 @ WSH
  6. Was hoping to see Schwarber at 1B and Arroyo at 2B, tonight. Maybe tomorrow. 1. Kike 2B 2. Schwarber LF 3. Bogey SS 4. Devers 3B 5. JD DH 6. Verdugo CF 7. Renfroe RF 8. Shaw 1B 9. Vaz C
  7. Regress to the norm (pre- 10 game streak), which is .548, or 20 wins. (I put 19.)
  8. Trying the reverse Heaney mojo, again, tonight?
  9. A player have 189 IP samples with wildly different results- good years, bad years, good parts of years, bad parts of years. Sometimes there are reasons like injuries, family distractions, poor defense behind them one year vs another or several reasons, some of which are unknown. Can the only reason for good and bad results in the playoffs, even over a big sample size like 189 IP, be caused by anything else other than pressure? I'm fine, if people believe pressure played a role, but you treat it like it's a fact and offer no evidence to support the position that his poor results were because of pressure and ONLY pressure..
  10. Mariners up 3-1 on the A's in the 4th! Go M's!
  11. With Arroyo back, Kike will not need to play 2B as much, so the OF is squeezed. No Duran No JD Limited Schwarber
  12. Dalbec is Schwarbers defensive replacement... LMAO! Then, Shaw is Dalbec's.
  13. I wasn't hinting at easing Richards into a more high leverage role.
  14. So, even though all year long, players get hot and cold for all kinds of reasons or no reasons at all, but during the playoffs all these reasons disappear, and the only reason for doing well or badly HAS TO BE because a player reacts well or poorly to pressure. This actually makes sense to you? There can be no other factors involved, except pressure?
  15. In your mind, this is irrefutable.
  16. Nobody doubts his playoff numbers are radically different from his regular season numbers. You keep acting like that is what is being debated. What is being debated is why they are much worse. I'm just asking for one shred of evidence or just a plain old reason why you think it is beyond any doubt because he reacts poorly to pressure. Just because pressure is present for many of the PAs in the playoffs, does not mean that has to be the reason he has done poorly in that 189 IP sample size. Give me something other than , "Because that's the way it is, " or "the stats show he is a choke." Something. Anything.
  17. I was always pretty good in Math in high school. I prided myself on never needing to take my math book home from school. All this new math is killing me!
  18. It will never happen, but yes. If you want to try a new role, you don't just throw someone into it, unless you have to do it.
  19. If you fed Kershaw's numbers into a random generator and set the parameters to create 1,000 sample sizes of 189 IP (his actual amount), you'd get a range of results that would include some sample numbers that match nearly identically, what Kershaw actually produced. Of course, many more would show better and much better results- some even better than his regular season results, but you would find some samples like the one he actually had. Now, of course, there are not 1,000 Kershaw-type pitchers that have 189+ IP in the playoffs, so you cannot prove the actual results match evenly with computer generated results, but studies have shown when you enter all the regular season data and generate a random sampling of expected results, it matches up with reality. The actual amount of pitchers who far exceed their regular season numbers in reality match up with the same amount in the randomly generated sample size, and same with barely better, the same, barely worse and much worse. The random samples mirror the reality samples. Did I explain it well enough?
  20. Does that mean they were all AAAA players, or is my math wrong again?
  21. Not a "fact."
  22. If you're going to try it, do it when up by 8.
  23. I knew what you meant, and of course both teams could keep playing like the last 2-3 weeks, like the first 100+ games, or somewhere in between.
  24. I remember that, now that you mentioned it, but does this means there was no way he could be back before August 13th, because Bloom said this? He did start working out shortly after the trade, then stopped after the groin injury. It looks like the new/groin injury may have hastened his return. WOW! (Just kidding) BTW, once he did return, he only played in 3 of the next 7 days. Was none of that was because of the groin? He also has yet to play 1B, again, because of the groin or hammy? (or both?)
  25. Our starters average 5.1 IP per start (not 5 1/3 but 5 and 1/10th), not 4 IP. BTW, the league average is 5.1, as well. 6.2 Eovaldi 5.3 Pivetta 5.0 ERod, Richards, Sale 4.5 Perez 4.4 Houck FYI Pitches per start 92 Eovaldi, Pivetta 86 Richards, ERod (84 League average) 80 Sale 75 Houck 74 Perez QS% 40 Eovaldi 33 Pivetta 25 ERod 18 Richards, Perez 0 Houck, Sale Team Record (RS per GS) 2-0 Sale (12.4) 15-9 Pivetta (5.5) & ERod (5.1) 12-10 Perez (4.4) 13-12 Eovaldi (5.7) 11-11 Richards (5.2) 3-4 Houck (3.1)
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