How the hell is this not a good team? Topic

2U23L
Posts: 236 (0)
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Name (Bats) Pos Order % PA/162 AB/162 HR RBI SB AVG OBP SLG $
Earle Combs '25 (L) CF* 1 100 708 624 3 61 12 .342 .411 .462 6.81M
Freddy Lindstrom '30 (R) 3B* 2 100 706 641 22 106 15 .379 .425 .575 7.47M
Babe Herman '30 (L) LF* 3 100 736 646 35 130 18 .393 .455 .678 9.05M
Sammy Sosa '01 (R) RF* 4 100 711 577 64 160 0 .328 .437 .737 10.17M
Carlos Delgado '00 (L) 1B* 5 100 711 569 41 137 0 .344 .470 .664 8.38M
Alan Trammell '87 (R) SS* 6 100 668 597 28 105 21 .343 .402 .551 6.86M
Jose Vidro '00 (S) 2B* 7 100 663 606 24 97 5 .330 .379 .540 5.55M
Lance Parrish '85 (R) C * 8 100 604 553 28 98 2 .273 .323 .479 4.84M
BENCH
Name (Bats) Pos Order % PA/162 AB/162 HR RBI SB AVG OBP SLG $
Wilson Delgado '03 (S) 3B* Bench 100 58 50 0 4 0 .320 .414 .320 250K
Dave Henderson '86 (R) LF* Bench 100 55 52 1 3 1 .196 .226 .314 200K
Calvin Murray '02 (R) LF* Bench 100 86 77 0 1 4 .169 .238 .260 384K
Ryan Shealy '08 (R) 1B* Bench 100 79 73 7 20 0 .301 .354 .603 591K
9/12/2011 5:44 AM
2U23L
Posts: 236 (0)
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74 16 1 1 60 20 26
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Earle Combs '25 (L) CF* 1 100 128 113 0 1 1 .177 .268 .239 6.81M
Freddy Lindstrom '30 (R) 3B* 2 100 124 118 5 11 3 .322 .350 .517 7.47M
Babe Herman '30 (L) LF* 3 100 120 113 5 16 0 .212 .258 .389 9.05M
Sammy Sosa '01 (R) RF* 4 100 117 106 5 17 0 .236 .308 .434 10.17M
Carlos Delgado '00 (L) 1B* 5 100 113 99 5 15 0 .293 .381 .505 8.38M
Alan Trammell '87 (R) SS* 6 100 111 102 2 12 15 .304 .360 .471 6.86M
Jose Vidro '00 (S) 2B* 7 100 109 106 0 12 2 .226 .248 .274 5.55M
Lance Parrish '85 (R) C * 8 100 106 97 2 10 0 .216 .267 .330 4.84M
BENCH
Name (Bats) Pos Order % PA AB HR RBI SB AVG OBP SLG $
Wilson Delgado '03 (S) 3B* Bench 100 9 8 0 0 0 .000 .111 .000 250K
Dave Henderson '86 (R) LF* Bench 100 4 4 0 0 0 .500 .500 .750 200K
Calvin Murray '02 (R) LF* Bench 100 2 2 0 0 3 .500 .500 .500 384K
Ryan Shealy '08 (R) 1B* Bench 100 12 11 0 0 0 .091 .167 .182 591K
9/12/2011 5:45 AM
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2U23L
Posts: 236 (0)
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110 mil cap.
Im sorry, i know nothing about normalization, and i don't understand when you say " Check your 1st 5 hitters # numbers, they are all probably significantly lower than their RL numbers. "
9/12/2011 6:24 AM
winnetka1
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(copied from the Knowledge Base)

Normalization is adjusting a player's stats to a situation where not all the reference points are the same.

Our engine uses Log5 normalization. For instance, every batter-pitcher matchup uses it. There are 4 key pieces to the algorithm: the hitter's stat, the pitcher's stat, the league average from the hitter's season and the league average from the pitcher's season. The final value can go up or down based on the relationship of the 4 values. This algorithm hammers home the point that a .280 hitter from a season where the league average was .250 is more valuable than a .280 hitter from a season with a league average of .275. And that it's more difficult to get a hit off a pitcher with a .240 OAV from a season with a league average of .255 than a pitcher with a .240 OAV from a season with a league average of .250.

We attempt to represent these values broadly in our Player Search using our "norm" values represented with the "#" sign (such as OAV# or OPS#). These values use the historical averages for the pitcher's stat and the pitcher's league average.

We also use Log5 normalization for fielding and determining errors. The 4 key pieces here are: fielder's fielding percentage (FPCT), the league average from the fielder's season at the position, the league average from the hitter's season at the position and the league average from the pitcher's season at the position.

We also represent these values broadly in our Player Search (FPCT#). These values use the historical averages for the pitcher's league average and the batter's league average
9/12/2011 7:31 AM
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boogerlips
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Looks like you bought too many plate appearances.
9/12/2011 2:32 PM
dahsdebater
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Not necessarily.  If there's no AAA those are decent numbers of PAs for $110 million...
9/14/2011 5:01 AM
How the hell is this not a good team? Topic
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