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Ok , so where are the "Excell Guys/Girls?"

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Postby wrveres » Sat Oct 04, 2003 6:24 am

Arlo wrote:
wrveres wrote:Well I have used many, many rating systems. This is what I am thinking with this..

100= League Average
150= Best
50 = League Worst

This system can be applied to as many categories as possible.
Runs, Obp, k/9, you name it. Just ensure that what ever categories you run, you divide the total by the same number of categories. So Instaed of having 500 total points for a league average, 100 would be the "average" if he was a League average 5 category guy.

The trouble with this form of scaling is that not all categories are equal. In stolen bases, for instance, the gap between 'best' and 'average' is a lot greater than it is in, say, runs scored. By assigning a value of 150 to all category leaders, you'd be undervaluing speedsters like Juan Pierre.


Actually, because the league average would be around 8-12 SB's, he would come through with shining colors...A coule of mistakes people make when looking at league average is that they include all the players. Well you don't use all the players when you play, You use a roster pool some where around 100-125 offensive players. Figure the league average somewhere around there. Make the cut off say, the top 150. Another mistake, IMO. is to skew the numbers towards HR's and RBI's. If you play 5 categories, all 5 categories should be given equal weight. 6 categories, then all 6. IMO.
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Postby DK » Sat Oct 04, 2003 9:15 am

i'm in strong agreeance with his last statement...Avg., R, and SB guys are around everywhere, and those are categories too. i make those mainly in the mid-rounds while i get guys with good power and RBI around the front 2-4 rounds, then fill up with the Avg/R/SB.
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Postby Arlo » Sat Oct 04, 2003 8:24 pm

wrveres wrote:Actually, because the league average would be around 8-12 SB's, he would come through with shining colors...A coule of mistakes people make when looking at league average is that they include all the players. Well you don't use all the players when you play, You use a roster pool some where around 100-125 offensive players. Figure the league average somewhere around there. Make the cut off say, the top 150. Another mistake, IMO. is to skew the numbers towards HR's and RBI's. If you play 5 categories, all 5 categories should be given equal weight. 6 categories, then all 6. IMO.

Even if you use the correct player pool, I think that assigning a score of 150 to the league leader is a bit misleading. By giving the top basestealer the same 150 points as the top run-scorer, both contributions would have equal weight in the rankings when in fact the basestealer's is more significant.
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Postby wrveres » Sun Oct 05, 2003 1:55 am

Arlo wrote:
wrveres wrote:Actually, because the league average would be around 8-12 SB's, he would come through with shining colors...A coule of mistakes people make when looking at league average is that they include all the players. Well you don't use all the players when you play, You use a roster pool some where around 100-125 offensive players. Figure the league average somewhere around there. Make the cut off say, the top 150. Another mistake, IMO. is to skew the numbers towards HR's and RBI's. If you play 5 categories, all 5 categories should be given equal weight. 6 categories, then all 6. IMO.

Even if you use the correct player pool, I think that assigning a score of 150 to the league leader is a bit misleading. By giving the top basestealer the same 150 points as the top run-scorer, both contributions would have equal weight in the rankings when in fact the basestealer's is more significant.


Agreed the basestealer is more significant, but generally this will show in the over all number's. I like what was suggested before

used to rate each player by position. So let's say the average 1st basemen hit 30 HRs this year (I have no idea how accurate that is). Then someone like Derek Lee, who hit 31 HRs this year, would score 103 points in the HR category. (31/30 * 100)


this seemed to be a good standard. Instead of topping out at 150 automatically. but stiil using 100 as the base.. Once we have a solid number ... (Around 100 pts' =/-) Then we can add up by team, and then factor in strength of scedule by month.

I am going to start downloading last seasons stats and start playing around. See if I can come up with something outside of the norm by ussibg the 100 point scale.. I would really like to factor in the "Ballpark" rankings..
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Postby DK » Sun Oct 05, 2003 7:34 am

i actually did something like that last season, it was something like:


30 HR=90 R=100 RBI=15 SB=.300 AVG=15 W=8 L=25 Sv=170 K=3.50 ERA=1.10 WHIP


some numbers like that. i ranked players like that, for instance a player with 30 HR is equal to a player with 15 wins, all other stats aside.
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Postby wrveres » Sun Oct 05, 2003 8:56 am

interesting first run ... Actually I worked them twice..

But basically I used this formula...

League Avg/Player Total*100 as was mentioned in here earlier. This actually skews SB's heavily. Or it put them into perspective, depending upon how you look at it ..

Ok first sample .. 200 Ab's or more Both Leagues...
League Average's
Hr's .. 14.7
RBI's .. 60
SB's .. 7.13
Runs .. 62.28
BA .. .274
(exp. HR's Soriano ... (14.7/39*100)
The Top 100 Results ... Remeber this treats all categories evenly ..

    Last Name Team Total
    Pierre Fla 325
    Soriano NYY 320
    Beltran KC 310
    Sheffield Atl 296
    Rodriguez Tex 293
    Crawford TB 291
    Renteria StL 281
    Podsednik Mil 274
    Pujols StL 271
    Wilson Col 268
    Garciaparra Bos 268
    Boone Sea 267
    Suzuki Sea 265
    Lee CWS 260
    Sanchez Det 258
    Abreu Phi 248
    Lee Fla 247
    Boone Cin 246
    Delgado Tor 245
    Bagwell Hou 243
    Furcal Atl 242
    Cabrera Mon 241
    Wells Tor 241
    Damon Bos 240
    Helton Col 237
    Baldelli TB 236
    Thome Phi 236
    Rolen StL 233
    Sexson Mil 233
    Bonds SF 231
    Lofton ChC 228
    Ramirez Bos 228
    Ordonez CWS 228
    Mondesi Ari 226
    Winn Sea 226
    Anderson Ana 225
    Encarnacion Fla 225
    Tejada Oak 224
    Jones Atl 222
    Berroa KC 220
    Huff TB 218
    Sanders Pit 217
    Chavez Oak 217
    Lopez Atl 214
    Giles Atl 213
    Hidalgo Hou 212
    Gonzalez Ari 209
    Giambi NYY 208
    Palmeiro Tex 207
    Payton Col 205
    Young Tex 205
    Thomas CWS 205
    Everett CWS 205
    Sosa ChC 203
    Finley Ari 202
    Jones Atl 201
    Young SF 200
    Berkman Hou 200
    Grissom SF 198
    Cameron Sea 198
    Rollins Phi 197
    Ibanez KC 196
    Hunter Min 195
    Castillo Fla 194
    Roberts LA 193
    Lowell Fla 192
    Edmonds StL 192
    Blalock Tex 192
    Wilkerson Mon 191
    Rodriguez Fla 190
    Ramirez ChC 189
    Kent Hou 187
    Guerrero Mon 187
    Posada NYY 186
    Conine Fla 186
    Jones Min 186
    Green LA 185
    Young Det 185
    Kennedy Ana 185
    Nixon Bos 184
    Millar Bos 183
    Ortiz Bos 183
    Polanco Phi 182
    Guillen Oak 181
    Batista Bal 181
    Giles SD 180
    Valentin CWS 180
    Matsui NYY 180
    Gibbons Bal 178
    Alou ChC 178
    Relaford KC 178
    Jenkins Mil 177
    Biggio Hou 176
    Mueller Bos 174
    Anderson TB 173
    Bradley Cle 172
    Bradley Cle 172
    Koskie Min 172
    Wigginton NYM 171

Second sample .. Top 250 Players based upon Abs. Both Leagues...
League Average's
Hr's .. 17.12
RBI's .. 68.45
SB's .. 8.23
Runs .. 71.02
BA .. ..277
(exp. HR's Soriano ... (17.12/39*100)
The Top 100 Results ... Remeber this treats all categories evenly ..

    Pierre Fla 294.57
    Soriano NYY 291.32
    Beltran KC 281.18
    Sheffield Atl 271.63
    Rodriguez Tex 267.57
    Crawford TB 263.76
    Renteria StL 257.16
    Pujols StL 250.56
    Podsednik Mil 249.26
    Wilson Col 246.35
    GarciaparraBos 246.14
    Boone Sea 245.29
    Suzuki Sea 242.98
    Lee CWS 238.79
    Sanchez Det 234.01
    Abreu Phi 228.13
    Delgado Tor 225.82
    Lee Fla 225.57
    Boone Cin 225.01
    Wells Tor 223.42
    Bagwell Hou 222.71
    Furcal Atl 222.25
    Cabrera Mon 221.41
    Helton Col 220.05
    Damon Bos 219.07
    Thome Phi 217.27
    Baldelli TB 217.24
    Rolen StL 214.58
    Sexson Mil 214.45
    Bonds SF 211.40
    Ordonez CWS 210.97
    Ramirez Bos 210.76
    Anderson Ana 209.27
    Lofton ChC 208.91
    Winn Sea 207.42
    Tejada Oak 206.93
    EncarnacionFla 206.91
    Mondesi Ari 206.31
    Jones Atl 204.95
    Huff TB 202.77
    Berroa KC 201.71
    Chavez Oak 199.91
    Sanders Pit 199.15
    Lopez Atl 197.87
    Giles Atl 196.63
    Hidalgo Hou 195.88
    Gonzalez Ari 193.62
    Giambi NYY 191.42
    Palmeiro Tex 190.89
    Young Tex 190.39
    Payton Col 190.34
    Thomas CWS 189.15
    Everett CWS 188.59
    Sosa ChC 186.88
    Jones Atl 186.65
    Finley Ari 185.87
    Berkman Hou 184.75
    Grissom SF 182.98
    Ibanez KC 182.20
    Rollins Phi 182.04
    Young SF 182.00
    Cameron Sea 181.50
    Hunter Min 180.42
    Castillo Fla 179.45
    Blalock Tex 177.80
    Lowell Fla 177.72
    Edmonds StL 176.75
    Rodriguez Fla 176.27
    Wilkerson Mon 176.05
    Ramirez ChC 175.37
    Roberts LA 174.10
    Kent Hou 173.23
    Conine Fla 172.86
    Green LA 172.33
    Posada NYY 172.32
    Guerrero Mon 172.24
    Young Det 172.03
    Jones Min 171.85
    Nixon Bos 170.00
    Millar Bos 169.29
    Ortiz Bos 169.21
    Kennedy Ana 168.84
    Guillen Oak 168.36
    Matsui NYY 167.99
    Polanco Phi 167.80
    Batista Bal 167.62
    Giles SD 167.03
    Gibbons Bal 166.26
    Alou ChC 165.42
    Valentin CWS 165.17
    Jenkins Mil 164.49
    Relaford KC 163.29
    Biggio Hou 163.11
    Mueller Bos 162.99
    Anderson TB 159.92
    Koskie Min 159.19
    Bradley Cle 159.18
    Bradley Cle 159.18
    Wigginton NYM 158.57


I think what I am going to try and do is break it down by AB before I Build it up and Multilpy by 100.. But that will still skew SB's. Thoughts????
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Postby DK » Sun Oct 05, 2003 9:44 am

you should grade SB's on a curve instead of on a point system. top 10% get some-odd points, next 10%, and so on.
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Postby wrveres » Sun Oct 05, 2003 10:39 am

DK wrote:you should grade SB's on a curve instead of on a point system. top 10% get some-odd points, next 10%, and so on.


I generally do something like that. Not on a curve though. I use the Top 10 % then the next 10% and so on and so on ..

But I do think it is interesting how much "We" as players disregard the SB ..yes it is one category and a Home run scores in three but it is still interesting. If anything this shows the overal value of the top notch SB's guys. A true 5 tool player like Beltran and Soriano are gonna find there way to the top, no matter how you score your numbers.
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Postby Arlo » Sun Oct 05, 2003 11:28 am

wrveres wrote:But basically I used this formula...

League Avg/Player Total*100 as was mentioned in here earlier. This actually skews SB's heavily. Or it put them into perspective, depending upon how you look at it ..

Ok first sample .. 200 Ab's or more Both Leagues...
League Average's
Hr's .. 14.7
RBI's .. 60
SB's .. 7.13
Runs .. 62.28
BA .. .274
(exp. HR's Soriano ... (14.7/39*100)

I'm confused... the more home runs a player has, the lower his score? Sorry if I'm missing something...
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Postby DK » Sun Oct 05, 2003 1:05 pm

i was a little lost on that too... :-?
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