Sergio TapiaC Lakeland Flying Tigers
Age 23 R/R 5'10" / 160 lbs A HR +5%H +3% Svc 0.0 · Ctrl thru 2036 peak 1.6 · 2030
wRC+†67
AVG/OBP/SLG.227 / .286 / .359
PA142
HR3
K%23
BB%6
MLB%0%
BAT: -5.3 runs (wOBA-derived runs vs avg)-5BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.5 runs (Positional adjustment)+3POSREP: +4.0 runs (Replacement-level credit)+4REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
4040
PWR
4040
SPD
4040
EYE
4025
trajectory · 10 yrs
1.6peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Pre-Arb$0.9M+1.6$15M+$14M
2032Pre-Arb$0.9M+1.4$13M+$12M
2033Pre-Arb$1.0M+1.3$13M+$12M
2034Arb-1$2M+1.0$10M+$8M
2035Arb-2$2M+0.7$4M+$2M
2036Arb-3$1M+0.3$2M+$0.1M
Totals $8M $56M +$48M

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
201916 ROKDSL Tigers 1 114102 19500 5303 25 .186.245.235.481 .049.257 264 .205 15 -11 -2 +0 +2 +3 -0.7
202118 ROKFCL Tigers East 4134 7100 472 10 .206.325.235.560 .029.250 1710 .249 49 -2 +0 +0 +1 +1 -0.0
202219 ROKFCL Tigers 7870 15411 6150 21 .214.276.343.619 .129.250 198 .270 65 -3 +0 +0 +1 +2 0.1
202320 ALakeland Flying Tigers 124107 15401 12314 11 .140.252.206.458 .065.187 2510 .224 30 -10 -0 +0 +2 +4 -0.4
202421 ROKFCL Tigers 10294 17313 6201 00 .181.238.330.567 .149.197 206 .231 35 -7 +0 +0 +2 +3 -0.3
202522 ALakeland Flying Tigers 150138 28605 7302 00 .203.252.355.607 .152.217 205 .256 54 -8 +0 +0 +3 +4 -0.1
▸ 2026 Season (actual · ROS · total)
202623 ALakeland Flying Tigers 3634 7101 2140 00 .206.250.324.574 .118.316 396 .228 33 -3 +0 +0 +1 +1 -0.1
ROS23 MLBDET 10697 23413 7261 10 .237.295.392.687 .155.283 257 .288 79 -3 +0 +0 +2 +3 0.3
TOT23 MLBDET 142131 30514 9401 10 .229.284.374.658 .145.295 286 .273 67 -5 +0 +0 +3 +4 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%DET 214195 46915 15462 31 .236.297.369.666 .133.276 217 .299 87 -3 +0 +0 +4 +6 0.7
202825 MLB 25%DET 301273 651228 22643 41 .238.302.385.687 .147.278 217 .304 91 -3 +0 +0 +5 +9 1.1
202926 MLB 42%DET 361327 7815210 27774 51 .239.304.388.693 .150.279 217 .307 93 -3 +1 +0 +6 +10 1.5
203027 MLB 58%DET 390353 8416211 30844 51 .238.305.388.693 .150.280 228 .307 93 -3 +1 +0 +7 +11 1.6
203128 MLB 68%DET 407367 8716211 32885 51 .237.307.381.688 .144.279 228 .306 93 -3 +1 -1 +7 +12 1.6
203229 MLB 77%DET 410370 8716211 32905 51 .235.305.378.683 .143.279 228 .304 91 -4 +1 -1 +7 +12 1.4
203330 MLB 84%DET 410370 8616211 32915 40 .232.302.376.678 .143.277 228 .301 89 -5 +1 -2 +7 +12 1.3
203431 MLB 91%DET 388351 8115210 30884 30 .231.299.370.669 .140.276 238 .297 86 -6 +1 -3 +7 +11 1.0
203532 MLBDET 361326 751429 28844 30 .230.299.368.667 .138.274 238 .293 82 -7 +1 -4 +6 +10 0.7
203633 MLBDET 325294 641217 25783 20 .218.286.337.622 .119.273 248 .287 78 -8 +0 -4 +6 +9 0.3
203734 MLBDET 276250 541016 21683 20 .216.285.336.621 .120.271 258 .281 73 -8 +0 -5 +5 +8 -0.0
203835 MLBDET 223202 43814 17572 20 .213.281.322.602 .109.269 268 .273 67 -8 +0 -6 +4 +6 -0.3
203936 MLBDET 168151 31513 13452 10 .205.277.311.588 .106.266 278 .264 60 -8 +0 -6 +3 +5 -0.6
▸ Career Totals (MLE all levels + projections)
Career 49494471 100519124119 371111959 5113 .225.293.358.651 .133.271 237 .289 79 -115 +5 -31 +88 +140 8.9
/ 162G 650587 13225316 491478 72 .225.293.359.653 .135.271 238 .289 79 -15 +1 -4 +12 +18 1.2

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
201916 ROKDSL Tigers 1 11499 25700 8213 25 .253.327.323.651 .071.312 187 .290 80 -3 -2 +3 -0.1
202118 ROKFCL Tigers East 4132 9100 652 10 .281.425.312.738 .031.321 1215 .346 123 +1 +0 +1 0.2
202219 ROKFCL Tigers 7866 19511 10100 21 .288.382.439.821 .152.316 1313 .358 132 +3 +0 +2 0.5
202320 ALakeland Flying Tigers 124102 18502 17214 11 .176.317.284.601 .108.203 1714 .285 76 -3 -0 +4 -0.0
202421 ROKFCL Tigers 10289 21413 11141 00 .236.327.404.731 .169.250 1411 .325 107 +1 +0 +3 0.4
202522 ALakeland Flying Tigers 150135 31605 9212 00 .230.286.385.671 .156.232 146 .293 82 -3 +0 +4 0.1

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
Sergio Tapia (OGILVIE) 23 40 40 40 25 .227/.286/.359 .132.281 32 23% 6% 81 +0.1
Luis Alvarez
2013 · A
23 44 44→45 46→45 42 .220/.276/.333 .113.274 116 24% 5% 69 -0.4 .222/.273/.352 .130.285 146 27% 5% 72 -0.2 .210/.253/.368.158.24921025%3%66-0.1
Eddie Silva
2019 · A
23 49→30 45→50 44→45 40 .242/.285/.368 .126.300 118 23% 4% 81 +0.4 .193/.244/.289 .096.253 95 27% 4% 43 -2.2 .158/.212/.237.079.2078228%3%14-3.5
Tyler Saladino
2012 · A
23 44→46 46→45 45→55 42 .217/.280/.356 .139.292 137 29% 7% 76 +0.1 .216/.285/.317 .101.284 820 25% 8% 68 -0.5 .253/.299/.369.116.300112519%5%84+0.4
Renae Martinez
2018 · A
24 45→32 43→50 41→40 44 .225/.279/.334 .109.278 115 23% 6% 69 -0.4 .218/.277/.327 .109.287 113 27% 6% 68 -0.5 .193/.260/.302.109.26511230%7%51-0.9
Marcus Greene Jr.
2018 · A
23 39 47→50 43→40 43 .204/.266/.339 .135.261 155 28% 7% 66 -0.6 .214/.269/.320 .106.298 115 30% 6% 62 -0.9 .199/.250/.262.063.2986034%6%34-0.9
Luis Santana
2023 · A
24 44 45 48→50 42 .218/.280/.341 .124.281 1311 27% 6% 73 -0.1 .212/.267/.334 .122.269 147 26% 5% 66 -0.6 .195/.248/.310.116.24115525%5%48-1.0
Pedro Pagés
2022 · A
23 44→43 43→50 43→40 42 .213/.279/.319 .107.302 115 32% 7% 66 -0.6 .210/.275/.334 .124.293 144 31% 8% 69 -0.4 .224/.283/.362.138.28218226%7%78+0.1
Jeferson Morales
2022 · A
23 41→46 47→45 48→50 48 .209/.291/.351 .142.259 149 25% 8% 81 +0.4 .205/.282/.337 .132.267 139 27% 7% 73 -0.1 .223/.298/.355.132.27712823%7%81+0.2
Blake Ochoa
2009 · A
23 44 41→45 40 45 .214/.268/.311 .097.267 85 22% 7% 59 -1.1 .237/.297/.376 .139.286 155 22% 7% 89 +0.9 .250/.315/.422.172.28921221%7%109+0.7
Scott Manea
2019 · A
23 42→41 46→45 47→30 43 .213/.285/.345 .131.256 143 23% 5% 77 +0.1 .209/.287/.339 .130.271 153 28% 6% 76 +0.1 .187/.279/.292.106.26413032%8%58-0.6
Joey Bart
2020 · AA
23 43 52→50 45→40 38 .228/.270/.393 .165.288 217 29% 5% 82 +0.5 .229/.283/.369 .140.329 165 34% 5% 81 +0.4 .234/.323/.349.115.32013128%9%90+0.6
Eddys Leonard
2023 · A
22 45→46 49→50 45 42 .226/.293/.375 .150.293 165 28% 6% 88 +0.9 .220/.279/.369 .149.281 177 27% 6% 79 +0.3 .212/.267/.368.155.26219927%5%72-0.2
Ian Rice
2017 · A
23 44→40 48→50 43→30 49 .219/.298/.359 .140.287 165 28% 9% 85 +0.7 .205/.289/.350 .145.278 183 31% 10% 80 +0.4 .184/.274/.315.131.25217032%10%62-0.5
Jimmy Glowenke
2022 · A
23 42→39 47→45 44→45 40 .212/.281/.350 .138.297 145 32% 6% 76 +0.0 .198/.268/.322 .124.279 145 33% 6% 63 -0.8 .182/.259/.292.110.25012531%6%49-1.1
Tyler Rahmatulla
2013 · A
23 43 45→55 44→45 44 .215/.274/.349 .134.268 115 24% 6% 72 -0.2 .201/.266/.298 .097.262 77 25% 7% 56 -1.3 .138/.222/.159.021.1840923%8%-1-1.2
Chris Gimenez
2006 · A
23 39→49 47→55 44→45 43 .202/.280/.334 .133.253 145 26% 6% 72 -0.2 .219/.296/.373 .154.270 185 25% 7% 89 +0.9 .233/.314/.394.161.28719425%8%99+1.2
Zachery Almond
2019 · A
23 46 47→55 48→40 41 .232/.275/.366 .135.289 165 26% 5% 77 +0.1 .202/.258/.306 .104.284 104 31% 7% 53 -1.5 .169/.234/.253.083.2468332%7%31-1.9
Alex Isola
2021 · A
23 46→43 45→50 49→40 44 .228/.280/.350 .122.284 128 24% 6% 74 -0.1 .216/.283/.365 .149.274 204 28% 8% 81 +0.4 .212/.282/.359.148.26320227%8%76+0.0
Andrew Knizner
2018 · AA
23 50 46→50 42→40 45 .248/.299/.378 .130.276 143 16% 5% 90 +1.0 .247/.297/.368 .121.284 134 18% 5% 86 +0.8 .225/.294/.342.116.27713322%6%77+0.1
Tyler Heineman
2014 · A
23 45 46→45 43→50 46 .226/.286/.354 .128.254 135 17% 6% 79 +0.3 .224/.283/.318 .094.259 75 16% 6% 68 -0.5 .226/.321/.329.103.279101421%10%84+0.2