Michael Dattalo3B Palm Beach Cardinals
Age 22 R/R 6'0" / 204 lbs A HR -7%K -4% Svc 0.0 · Ctrl thru 2036 peak 1.0 · 2030
wRC+†65
AVG/OBP/SLG.211 / .273 / .323
PA79
HR1
K%30
BB%7
MLB%0%
BAT: -3.1 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +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
trajectory · 10 yrs
1.0peak
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
2031Arb-3$0.9M+1.0$9M+$8M
2032Ext / FA-deal$0.9M+0.9$4M+$3M
2033Ext / FA-deal$1.0M+0.8$4M+$3M
2034Ext / FA-deal$1M+0.6$3M+$2M
2035Ext / FA-deal$1M+0.3$2M+$0.6M
2036Ext / FA-deal$7M
Totals $12M $22M +$10M
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
202521 APalm Beach Cardinals 6559 14400 3163 00 .237.308.305.613 .068.326 255 .275 69 -2 +0 +0 +0 +2 -0.0
▸ 2026 Season
202622 MLBSTL 7973 16311 5231 10 .219.278.329.607 .110.290 296 .271 65 -3 +0 +0 +0 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%STL 172155 34614 13492 31 .219.288.348.637 .129.292 288 .285 77 -5 +0 +0 +1 +5 0.1
202824 MLB 26%STL 287260 581027 22803 51 .223.291.358.649 .135.293 288 .295 84 -5 +1 +0 +1 +8 0.5
202925 MLB 43%STL 357322 7413210 28974 61 .230.299.376.675 .146.294 278 .301 88 -5 +1 +0 +1 +10 0.8
203026 MLB 58%STL 403363 8415311 331104 71 .231.302.380.683 .149.295 278 .304 91 -4 +1 +0 +1 +11 1.0
203127 MLB 76%STL 425382 8815312 351165 71 .230.303.380.683 .149.295 278 .304 91 -4 +1 +0 +2 +12 1.0
203228 MLB 84%STL 435391 9016312 361205 71 .230.303.379.682 .148.294 288 .303 90 -5 +1 -1 +2 +12 0.9
203329 MLB 90%STL 434390 8815312 361205 61 .226.299.372.671 .146.293 288 .301 88 -6 +1 -1 +2 +12 0.8
203430 MLBSTL 430386 8715312 361215 50 .225.300.373.673 .148.292 288 .297 86 -7 +1 -2 +2 +12 0.6
203531 MLBSTL 420378 8414311 351204 30 .222.295.362.657 .140.290 298 .294 83 -8 +1 -3 +1 +12 0.3
203632 MLBSTL 403362 7813210 341174 10 .215.290.345.635 .130.289 298 .289 79 -9 +0 -4 +1 +11 0.0
203733 MLBSTL 375337 721229 311114 00 .214.288.341.629 .128.287 308 .284 75 -11 +0 -4 +1 +11 -0.3
203834 MLBSTL 331298 621027 271013 00 .208.280.326.606 .117.286 318 .277 70 -11 +0 -5 +1 +9 -0.6
▸ Career Totals (MLE all levels + projections)
Career 46164156 92916130118 374130152 517 .224.296.362.658 .138.294 288 .295 84 -85 +7 -20 +16 +131 5.1
/ 162G 650585 13123417 531837 71 .224.296.364.660 .140.294 288 .295 84 -12 +1 -3 +2 +18 0.7

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 APalm Beach Cardinals 6558 15400 4113 00 .259.338.328.666 .069.319 176 .309 95 -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
Michael Dattalo (OGILVIE) 22 .211/.273/.323 .112.290 11 30% 7% 65 -0.1
Alonzo Harris
2011 · A
22 39→49 42→55 51→60 36 .196/.232/.300 .103.263 1013 30% 4% 40 -2.4 .219/.261/.311 .092.282 718 24% 5% 56 -1.3 .240/.296/.401.161.286193522%7%92+0.9
Sean Bouchard
2019 · A
23 38→44 44→55 48→50 37 .196/.244/.314 .117.275 1213 33% 5% 50 -1.7 .201/.254/.332 .131.296 1310 35% 6% 59 -1.1 .223/.323/.415.191.292211629%11%106+1.0
Anderson Gomes
2007 · A
22 41→38 43→45 47→50 39 .205/.252/.313 .108.275 109 29% 5% 53 -1.5 .220/.270/.333 .113.292 117 27% 6% 66 -0.6 .223/.275/.335.112.29012526%6%67-0.2
Kevin Smith
2018 · A
22 39→45 44→55 53→50 35 .198/.236/.315 .117.289 118 35% 4% 46 -2.0 .207/.251/.356 .149.290 1713 34% 5% 64 -0.8 .202/.254/.373.170.272211733%5%68-0.4
Felix Reyes
2023 · A
22 37→47 43→50 46→45 35 .188/.235/.293 .105.267 118 34% 4% 40 -2.4 .221/.258/.346 .125.263 157 22% 4% 64 -0.8 .241/.274/.386.144.27517819%4%81+0.2
Travis Blankenhorn
2019 · A
22 40→43 45→55 51→50 38 .201/.261/.328 .127.288 117 33% 6% 61 -1.0 .215/.262/.357 .142.295 169 32% 5% 69 -0.4 .211/.283/.380.168.27621631%8%81+0.3
Michael A. Taylor
2012 · A
21 37→47 44→55 49→60 36 .192/.234/.309 .117.264 1112 32% 4% 44 -2.1 .200/.251/.314 .114.303 1021 35% 6% 53 -1.5 .236/.294/.379.143.303191428%7%86+0.6
Narciso Crook
2017 · A
22 38→43 42→55 52→50 34 .194/.230/.300 .106.280 1011 34% 4% 40 -2.4 .207/.256/.324 .117.303 1110 34% 5% 57 -1.2 .199/.278/.357.158.302191538%7%73-0.1
Parker Meadows
2022 · A
22 37→47 41→55 44→55 41 .185/.244/.280 .095.257 99 31% 7% 41 -2.3 .218/.280/.374 .156.279 1716 27% 7% 82 +0.5 .225/.292/.400.175.278202126%8%91+1.1
Aristides Aquino
2016 · A
22 39→40 46→65 52→50 35 .201/.236/.333 .133.265 1310 30% 3% 51 -1.7 .200/.241/.349 .149.267 178 31% 4% 58 -1.2 .218/.283/.452.234.26735933%7%98+1.0
Zach Green
2016 · A
22 42→43 41→60 49→40 39 .207/.246/.303 .096.275 87 28% 5% 47 -1.9 .203/.257/.334 .131.315 143 38% 5% 61 -1.0 .196/.262/.382.186.29923141%7%74-0.0
Edgardo Baez
2007 · A
22 41→46 42→50 47→50 39 .205/.252/.311 .106.286 106 31% 6% 52 -1.6 .221/.271/.344 .123.307 138 31% 6% 69 -0.4 .226/.277/.357.132.30615930%6%71-0.2
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
Christopher Morel
2021 · A
22 43→46 43→60 45→50 37 .214/.254/.324 .110.290 109 29% 4% 56 -1.3 .215/.273/.390 .175.301 2214 35% 7% 82 +0.5 .224/.302/.431.208.280281030%9%102+1.8
Akil Baddoo
2021 · A
22 41→51 43→55 55 44 .198/.268/.314 .116.295 914 34% 8% 60 -1.0 .234/.308/.374 .140.313 1421 27% 10% 92 +1.2 .232/.314/.375.143.300152426%11%91+0.8
Keon Broxton
2013 · A
23 41→50 42→55 52→60 39 .199/.257/.303 .104.305 1016 36% 7% 53 -1.5 .215/.269/.344 .129.326 1317 36% 7% 68 -0.5 .225/.301/.390.165.341173836%9%92+1.0
Chris Nelson
2007 · A
21 41→51 42→50 49→50 37 .204/.244/.308 .104.272 99 28% 4% 48 -1.9 .223/.274/.359 .136.280 1312 24% 6% 75 -0.0 .257/.301/.387.130.31113721%5%87+0.6
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5
Carlos Guzman
2008 · A
22 40→48 43→50 53→50 44 .197/.278/.309 .112.288 119 33% 8% 64 -0.8 .221/.269/.333 .112.308 129 31% 6% 65 -0.7 .235/.287/.332.097.30810326%6%70-0.2
Luis Santana
2022 · AA
23 40 42→45 47→50 40 .200/.259/.300 .100.270 1010 29% 6% 53 -1.5 .216/.274/.342 .126.277 149 26% 6% 70 -0.3 .207/.266/.330.122.25815725%5%61-0.6