Lizandro EspinozaSS Columbus Clingstones
Age 23 R/R 5'7" / 158 lbs AA BB -5% Svc 0.0 · Ctrl thru 2034 peak 0.3 · 2026
wRC+†66
AVG/OBP/SLG.174 / .233 / .292
PA320
HR7
SB22
K%38
BB%6
MLB%2%
BAT: -12.5 runs (wOBA-derived runs vs avg)-12BATRUN: +3.1 runs (SB/CS + UBR baserunning)+3RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.30+0.3WAR
Scouting · nowfuture
HIT
3030
PWR
4040
SPD
5555
EYE
4530
trajectory · 10 yrs
0.3peak
2030

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+0.2$0.9M+$0.0M
2030Arb-2$0.9M+0.3$1M+$0.5M
2031Arb-3$0.9M+0.2$0.9M+$0.0M
2032Ext / FA-deal$3M
2033Ext / FA-deal$0.4M
2034Ext / FA-deal$0.6M
Totals $7M $-0.9M -$8M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202118 ROKDSL Cardinals Red 141124 27410 10314 106 .218.297.266.563 .048.287 227 .258 56 -7 -0 +0 +2 +4 -0.2
202219 ROK2 teams 194178 22331 10852 51 .124.179.191.370 .067.221 445 .174 -9 -24 +1 +0 +2 +5 -1.6
202320 APalm Beach Cardinals 413369 511215 291576 137 .138.213.217.430 .079.218 387 .195 7 -43 -0 +0 +4 +12 -2.8
202421 APalm Beach Cardinals 354313 41624 281478 164 .131.221.201.422 .070.224 428 .196 8 -37 +2 +0 +4 +10 -2.2
202522 A+3 teams 482448 6514213 231845 2514 .145.195.272.468 .127.203 385 .205 15 -46 -1 +0 +5 +14 -2.9
▸ 2026 Season (actual · ROS · total)
202623 AAColumbus Clingstones 6252 13203 8191 101 .250.361.462.822 .212.323 3113 .342 120 +1 +2 +0 +1 +2 0.6
ROS23 MLBATL 258235 44917 18953 123 .187.254.323.577 .136.270 377 .254 52 -14 +1 +0 +3 +7 -0.3
TOT23 MLBATL 320287 5711110 261144 224 .199.274.348.623 .150.285 368 .271 66 -12 +3 +0 +3 +9 0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 11%ATL 483439 8216212 351656 216 .187.256.314.571 .128.266 347 .259 57 -24 +2 +0 +5 +14 -0.3
202825 MLB 26%ATL 513463 9018213 391706 216 .194.266.326.592 .132.269 338 .267 63 -22 +2 +0 +5 +15 0.0
202926 MLB 44%ATL 529477 9318214 411726 216 .195.267.329.596 .134.271 338 .272 66 -20 +2 +0 +6 +15 0.2
203027 MLB 59%ATL 535482 9519214 421746 205 .197.270.332.602 .135.272 338 .273 67 -20 +2 +0 +6 +15 0.3
203128 MLB 69%ATL 534480 9418214 431746 185 .196.270.329.599 .133.271 338 .272 66 -20 +2 -1 +6 +15 0.2
203229 MLB 77%ATL 527474 9318214 421736 164 .196.270.331.601 .135.270 338 .270 65 -21 +2 -1 +6 +15 -0.0
203330 MLB 95%ATL 518465 8917213 421726 154 .191.267.320.587 .129.269 338 .267 62 -22 +1 -2 +6 +15 -0.3
203431 MLBATL 505453 8617212 411706 123 .190.266.316.582 .126.267 348 .263 60 -23 +1 -3 +5 +14 -0.5
203532 MLBATL 487440 8316212 391675 92 .189.262.316.578 .127.265 348 .258 56 -24 +1 -4 +5 +14 -0.8
203633 MLBATL 458414 7514210 361605 81 .181.255.297.552 .116.263 358 .253 52 -25 +1 -4 +5 +13 -1.0
203734 MLBATL 412372 661319 331474 61 .177.252.290.542 .113.261 368 .247 47 -25 +1 -5 +4 +12 -1.3
▸ Career Totals (MLE all levels + projections)
Career 73436626 119623231167 551254390 24878 .181.253.300.553 .120.260 358 .250 50 -417 +18 -20 +79 +208 -13.4
/ 162G 650587 10721315 492258 227 .182.255.305.560 .123.262 358 .250 50 -37 +2 -2 +7 +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
202118 ROKDSL Cardinals Red 141117 34720 17214 106 .291.399.385.783 .094.351 1512 .352 128 +4 -0 +4 0.8
202219 APalm Beach Cardinals 7369 11111 3290 10 .159.194.246.441 .087.256 404 .196 8 -8 +0 +2 -0.5
202219 ROKFCL Cardinals 121104 25541 12292 41 .240.331.394.725 .154.312 2410 .317 101 +0 +0 +3 0.4
202320 APalm Beach Cardinals 413359 661517 391066 137 .184.275.290.564 .106.236 269 .257 55 -21 -0 +12 -1.0
202421 APalm Beach Cardinals 354303 611036 37978 164 .201.304.314.617 .112.271 2710 .282 74 -10 +2 +10 0.1
202522 AAColumbus Clingstones 5142 10402 7161 30 .238.360.476.836 .238.320 3114 .363 136 +2 +1 +1 0.4
202522 A+Rome Emperors 377343 6915310 261073 2013 .201.263.350.613 .149.257 287 .272 66 -14 -1 +11 -0.5
202522 INTLBravos de Margarita 5451 14310 2141 21 .275.315.373.687 .098.378 264 .308 94 -0 +0 +2 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
Lizandro Espinoza (OGILVIE) 23 30 40 55 30 .174/.233/.292 .119.263 79 38% 6% 41 -1.3
Johan Lopez
2023 · AA
23 39 44→45 51→55 40 .195/.268/.308 .113.290 1213 35% 7% 59 -1.1 .200/.270/.300 .100.307 912 35% 8% 58 -1.2 .166/.253/.240.073.27641137%10%33-0.6
Kendall Simmons
2023 · A
23 36 47→50 49→50 38 .190/.256/.326 .136.273 1510 35% 6% 59 -1.1 .205/.269/.352 .147.297 179 35% 6% 72 -0.2 .199/.264/.350.151.29018736%6%66-0.2
Blake Hunt
2022 · AA
23 36 43→50 49→40 40 .184/.244/.291 .107.270 104 35% 7% 44 -2.1 .200/.256/.326 .126.277 134 32% 6% 59 -1.1 .206/.268/.347.141.26215227%6%67-0.3
Ryan Bliss
2023 · A
23 36→46 44→45 51→60 39 .187/.243/.297 .111.259 1221 32% 6% 46 -2.0 .218/.284/.349 .131.292 1237 28% 7% 76 +0.1 .226/.298/.368.142.297134927%8%84+0.6
Ismael Alcantara
2023 · AA
24 40→30 46→45 50 37 .202/.259/.333 .131.288 1412 34% 6% 62 -0.9 .210/.268/.306 .096.313 917 34% 6% 58 -1.2 .216/.274/.290.074.33172435%6%53-1.0
Sean Coyle
2014 · A
22 36 48→50 54→50 37 .191/.251/.335 .144.272 1614 35% 6% 59 -1.1 .202/.261/.344 .142.302 1713 37% 7% 66 -0.6 .180/.244/.304.124.276151239%7%45-1.1
Taylor Snyder
2018 · A
23 36→32 44→55 47→50 33 .188/.230/.306 .119.276 1212 36% 4% 42 -2.3 .190/.235/.310 .120.293 1212 38% 5% 45 -2.1 .185/.235/.340.155.265191237%5%52-1.1
Steven Baron
2014 · A
23 36 40→45 52→50 36 .183/.218/.281 .098.255 79 31% 4% 30 -3.1 .212/.258/.297 .085.293 59 28% 6% 50 -1.7 .233/.289/.308.075.3134825%7%63-0.4
Joe Gray Jr.
2023 · A
23 32→34 48→45 56→50 38 .172/.245/.314 .141.270 1614 40% 7% 52 -1.6 .176/.233/.278 .102.269 1114 37% 6% 37 -2.7 .175/.218/.259.084.253101434%4%22-2.9
Grae Kessinger
2022 · AA
24 37→29 42→45 48→50 42 .191/.254/.286 .095.257 1114 30% 7% 47 -1.9 .192/.267/.310 .118.259 1415 30% 8% 59 -1.1 .186/.266/.299.113.246141429%9%54-0.9
LeDarious Clark
2017 · A
23 37→33 47→45 52→55 30 .194/.225/.331 .137.291 1519 38% 3% 46 -2.0 .184/.243/.310 .126.297 1418 40% 6% 49 -1.8 .164/.235/.283.119.266141941%7%37-1.2
Jase Bowen
2023 · A
22 39→40 44→45 54→55 35 .194/.253/.305 .111.299 1314 38% 6% 52 -1.6 .200/.252/.326 .126.285 1518 34% 5% 57 -1.2 .198/.249/.325.127.276152233%5%52-1.2
Jason Lopez
2022 · AA
24 38 42→50 52→45 40 .189/.250/.291 .102.286 1011 36% 7% 46 -2.0 .204/.266/.313 .109.307 119 35% 7% 59 -1.1 .164/.224/.258.094.23510033%7%25-0.6
Billy Cook
2023 · A
24 36→42 48→50 56→55 32 .184/.238/.325 .140.293 1619 41% 5% 51 -1.7 .204/.262/.347 .143.288 1822 34% 6% 67 -0.5 .205/.267/.345.140.279182332%6%66-0.5
Corey Joyce
2022 · AA
23 41 39→45 53→50 39 .193/.262/.274 .080.300 713 36% 7% 48 -1.9 .208/.307/.328 .120.294 1212 31% 10% 82 +0.5 .212/.315/.318.105.30191429%10%80+0.2
Yusuf Carter
2008 · A
23 36→34 46→50 48→50 31 .189/.222/.315 .126.290 159 40% 4% 40 -2.4 .213/.254/.357 .144.303 1711 34% 5% 66 -0.6 .219/.264/.370.151.296191032%5%70-0.2
Jose Acosta
2023 · A
23 39 45 49→55 36 .194/.252/.316 .122.300 1315 38% 6% 54 -1.4 .192/.244/.301 .109.280 1116 34% 6% 46 -2.0 .168/.215/.260.093.23492231%5%20-1.0
Korry Howell
2022 · AA
23 40→34 44→40 53→55 39 .193/.268/.308 .115.314 1219 40% 8% 59 -1.1 .191/.277/.327 .136.310 1423 40% 8% 69 -0.4 .159/.257/.289.130.257133240%8%50-0.6
Bradlee Beesley
2022 · AA
24 41 44→50 54→60 37 .199/.259/.318 .119.313 1219 38% 6% 58 -1.2 .202/.269/.329 .127.302 1225 35% 7% 66 -0.6 .193/.269/.328.135.286123435%7%61-0.5
Braulio Vasquez
2022 · A
23 40 40 54→65 40 .192/.269/.282 .090.299 828 36% 7% 53 -1.5 .216/.284/.315 .099.302 727 29% 7% 67 -0.5 .225/.290/.320.095.30443225%7%66-0.3