Andrew Fischer3B Wisconsin Timber Rattlers
Age 22 L/R 6'0" / 210 lbs A+ BB +10%HR +7% Svc 0.0 · Ctrl thru 2034 peak 1.9 · 2031
wRC+†87
AVG/OBP/SLG.218 / .291 / .357
PA78
HR2
K%29
BB%8
MLB%4%
BAT: -1.2 runs (wOBA-derived runs vs avg)-1BATRUN: -1.4 runs (SB/CS + UBR baserunning)-1RUNFLD: -0.0 runs (Defensive runs vs avg)-0FLDPOS: +0.3 runs (Positional adjustment)+0POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
Scouting · nowfuture
HIT
3145
PWR
4560
SPD
4341
FLD
3243
EYE
4851
trajectory · 10 yrs
2.1peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M+1.4$12M+$11M
2030Arb-2$0.9M+1.8$16M+$15M
2031Arb-3$0.9M+1.9$18M+$17M
2032Ext / FA-deal$4M+1.8$17M+$14M
2033Ext / FA-deal$5M+1.6$16M+$10M
2034Ext / FA-deal$7M+1.4$14M+$7M
Totals $19M $93M +$75M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202521 A+Wisconsin Timber Rattlers 8777 19411 8291 82 .247.326.364.689 .117.375 339 .286 77 -2 +1 +0 +0 +2 0.1
▸ 2026 Season (actual · ROS · total)
202622 A+Wisconsin Timber Rattlers 7159 12402 6343 14 .203.309.373.682 .169.385 488 .299 87 -1 -1 +0 +0 +2 -0.0
ROS22 MLBMIL 76 1000 120 00 .167.286.167.452 .000.299 2914 .293 82 -0 +0 -0 +0 +0 0.0
TOT22 MLBMIL 7865 13402 7363 14 .200.307.354.661 .154.367 469 .298 87 -1 -1 -0 +0 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 15%MIL 152135 31615 14362 22 .230.311.400.711 .170.278 249 .318 102 +0 -0 -1 +1 +4 0.4
202824 MLB 29%MIL 272241 5711110 25644 43 .237.319.415.733 .178.280 249 .327 108 +3 -0 -1 +1 +8 1.0
202925 MLB 46%MIL 347306 7414213 33815 54 .242.326.428.754 .186.282 2310 .333 113 +5 -1 -2 +1 +10 1.4
203026 MLB 61%MIL 396349 8516216 38926 64 .244.328.438.767 .195.283 2310 .336 116 +7 -0 -2 +1 +11 1.8
203127 MLB 78%MIL 420370 9017217 41986 64 .243.329.438.766 .195.283 2310 .337 116 +7 -0 -2 +1 +12 1.9
203228 MLB 85%MIL 432381 9117217 421026 64 .239.324.428.752 .189.283 2410 .335 115 +7 -0 -3 +2 +12 1.8
203329 MLB 92%MIL 432381 9117217 421036 54 .239.324.428.752 .189.282 2410 .333 113 +6 -1 -4 +2 +12 1.6
203430 MLBMIL 429378 8917216 421046 54 .235.322.418.740 .183.281 2410 .330 111 +5 -1 -4 +2 +12 1.4
203531 MLBMIL 419369 8716216 411036 45 .236.322.420.742 .184.279 2510 .326 108 +4 -1 -5 +1 +12 1.1
203632 MLBMIL 403355 8215215 391016 47 .231.318.411.729 .180.277 2510 .322 104 +2 -2 -6 +1 +11 0.7
203733 MLBMIL 375330 7514213 37975 49 .227.315.400.715 .173.276 2610 .316 100 -0 -3 -6 +1 +11 0.3
203834 MLBMIL 331292 6412111 32884 311 .219.305.380.685 .161.274 2710 .309 95 -2 -4 -7 +1 +9 -0.2
203935 MLBMIL 279246 531019 27774 312 .215.303.374.677 .159.271 2810 .301 88 -4 -4 -7 +1 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 47814216 98918623176 462117767 6575 .235.320.415.735 .180.282 2510 .325 107 +39 -17 -49 +17 +135 12.8
/ 162G 650573 13425324 631609 910 .234.319.414.733 .180.281 2510 .325 107 +5 -2 -7 +2 +18 1.7

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202521 A+Wisconsin Timber Rattlers 8774 23511 11221 82 .311.407.446.853 .135.423 2513 .379 148 +5 +1 +2 0.8

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Scouting At Match Age Next 3 Yrs Peak 3 Yrs
Comp Age HIT PWR SPD EYE AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR
Andrew Fischer (OGILVIE) 22 31→45 45→60 43→41 51 .218/.291/.357 .138.291 21 29% 8% 82 +0.1
Jaff Decker
2012 · AA
22 42→50 52→55 46→55 49 .217/.305/.388 .170.285 209 30% 10% 96 +1.5 .210/.290/.346 .136.279 149 28% 10% 79 +0.3 .223/.297/.332.109.28791324%9%75+0.0
Ian Stewart
2007 · AA
22 46→52 48→60 40→45 43 .227/.288/.382 .155.297 134 28% 7% 86 +0.8 .239/.305/.410 .171.310 188 28% 8% 102 +1.8 .239/.315/.432.193.30423928%9%108+2.0
Derek Dietrich
2012 · A
23 43→53 48→60 41→40 38 .217/.272/.361 .144.292 155 31% 5% 75 -0.0 .220/.280/.370 .150.286 164 28% 5% 81 +0.4 .269/.351/.436.167.33516123%7%121+2.6
Brian Goodwin
2013 · AA
22 46→52 47→60 48→50 48 .228/.298/.366 .138.291 1413 26% 8% 87 +0.8 .216/.287/.334 .118.296 1014 28% 8% 74 -0.1 .243/.309/.437.195.311231128%8%105+1.3
Daniel Vogelbach
2015 · A
22 45→50 49→60 41→40 49 .231/.296/.375 .144.275 174 22% 8% 89 +0.9 .242/.319/.387 .145.301 163 24% 10% 101 +1.8 .247/.332/.413.166.29121122%11%111+2.2
Jason Martin
2018 · AA
22 42→50 48→60 47→50 41 .216/.267/.362 .145.288 1513 30% 6% 72 -0.2 .226/.272/.362 .136.296 1412 27% 6% 74 -0.1 .218/.285/.408.191.27126829%8%90+0.7
Nick Weglarz
2010 · AA
22 43→47 50 43→45 51 .220/.307/.375 .155.275 185 26% 10% 93 +1.3 .220/.308/.374 .154.290 165 28% 10% 94 +1.3 .205/.296/.356.150.29217333%10%82+0.3
Anthony Santander
2017 · A
22 43→49 47→65 45 40 .220/.274/.359 .139.291 157 30% 6% 75 -0.0 .234/.278/.389 .155.289 176 25% 5% 84 +0.6 .242/.317/.473.231.25731220%9%120+3.4
Ryan McMahon
2017 · AA
22 45→55 47→55 43→45 38 .218/.274/.362 .144.325 147 36% 6% 76 +0.0 .244/.298/.394 .150.335 158 30% 7% 93 +1.3 .230/.314/.391.161.29819628%10%98+1.6
Iván Herrera
2022 · AA
22 41→51 48→50 41→50 47 .213/.289/.342 .129.274 174 28% 8% 77 +0.1 .236/.321/.368 .132.306 149 26% 10% 97 +1.5 .278/.371/.439.161.339191322%11%132+2.8
Travis Shaw
2013 · AA
23 45→53 51→60 49→45 46 .226/.299/.391 .166.295 179 29% 8% 94 +1.3 .221/.290/.374 .153.280 176 26% 8% 85 +0.7 .246/.330/.453.207.28026722%11%116+2.7
Nicky Delmonico
2014 · A
22 39→47 49→55 48→45 46 .202/.276/.345 .143.261 178 29% 8% 72 -0.2 .215/.272/.359 .144.291 156 30% 7% 74 -0.1 .233/.301/.393.161.28418424%8%92+0.9
Triston Casas
2022 · AAA
22 43→50 52→60 48→40 46 .223/.291/.391 .168.279 207 28% 8% 90 +1.0 .242/.331/.439 .197.296 254 26% 11% 120 +3.1 .241/.340/.454.212.29328027%13%121+2.2
Eddie Rosario
2014 · AA
22 51→55 48→60 46→50 42 .253/.292/.404 .151.309 149 23% 5% 93 +1.3 .245/.276/.389 .144.307 1310 24% 4% 82 +0.5 .277/.313/.475.198.29627717%5%116+2.8
Isan Díaz
2018 · A
22 40 47→55 45 43 .203/.272/.335 .133.289 148 34% 8% 68 -0.5 .205/.274/.346 .141.290 168 33% 8% 72 -0.2 .204/.284/.367.164.26321530%9%75+0.0
Jesús Sánchez
2020 · AAA
22 47→53 46→60 44→50 39 .236/.275/.361 .125.302 146 27% 5% 75 -0.0 .238/.292/.405 .167.305 215 28% 6% 95 +1.4 .247/.314/.450.203.30625427%8%110+1.8
Mike Carp
2008 · AA
22 45→55 48→55 43→40 42 .226/.296/.362 .136.288 163 27% 6% 85 +0.7 .238/.310/.379 .141.292 162 23% 8% 95 +1.4 .258/.322/.439.180.31822425%8%112+1.7
Max Stassi
2013 · A
22 41→43 47→55 43→40 40 .210/.270/.343 .133.290 154 32% 6% 69 -0.4 .216/.264/.358 .142.286 173 30% 5% 70 -0.3 .208/.295/.359.151.27120030%10%81+0.2
Matt Joyce
2008 · AA
23 43→53 47→60 41→50 45 .217/.273/.355 .139.270 145 25% 7% 73 -0.1 .230/.303/.413 .183.287 207 26% 9% 101 +1.8 .258/.351/.454.197.30521921%12%122+2.5
Logan O'Hoppe
2022 · AAA
22 43→48 49→60 46→45 43 .224/.274/.364 .140.267 177 24% 6% 76 +0.1 .237/.307/.418 .181.277 256 24% 8% 105 +2.1 .241/.314/.433.192.28428425%8%109+1.6