Danny De AndradeSS Cedar Rapids Kernels
Age 22 R/R 5'11" / 190 lbs A+ BB +3% Svc 0.0 · Ctrl thru 2035 peak 1.4 · 2030
wRC+†51
AVG/OBP/SLG.196 / .272 / .313
PA320
HR6
SB8
K%30
BB%7
MLB%0%
BAT: -17.6 runs (wOBA-derived runs vs avg)-18BATRUN: +1.5 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -0.40-0.4WAR
Scouting · nowfuture
HIT
3535
PWR
4040
SPD
5050
EYE
4235
trajectory · 10 yrs
1.5peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+1.4$13M+$12M
2031Arb-3$0.9M+1.4$13M+$12M
2032Ext / FA-deal$0.9M+1.3$12M+$11M
2033Ext / FA-deal$2M+1.1$11M+$9M
2034Ext / FA-deal$3M+0.9$5M+$2M
2035Ext / FA-deal$3M+0.6$3M+$0.2M
Totals $11M $57M +$46M

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
202117 ROKDSL Twins 200183 35910 10406 62 .191.256.251.508 .060.243 205 .222 28 -16 +0 +0 +2 +6 -0.8
202218 ROKFCL Twins 204185 32712 12486 42 .173.246.254.500 .081.221 246 .222 28 -17 +0 +0 +2 +6 -0.9
202319 AFort Myers Mighty Mussels 475410 801729 4215014 204 .195.292.312.604 .117.273 329 .274 68 -17 +2 +0 +5 +13 0.4
202420 A+Cedar Rapids Kernels 117106 20401 5266 52 .189.265.255.520 .066.241 224 .239 41 -8 +0 +0 +1 +3 -0.3
202521 A+Cedar Rapids Kernels 495449 821877 3114914 156 .183.257.301.558 .118.255 306 .245 46 -30 +1 +0 +5 +14 -1.1
▸ 2026 Season (actual · ROS · total)
202622 A+Cedar Rapids Kernels 6357 10101 4282 20 .175.254.246.500 .070.321 446 .202 13 -6 +0 +0 +1 +2 -0.3
ROS22 MLBMIN 257230 45924 18817 61 .196.275.304.579 .109.278 327 .264 61 -11 +1 +0 +3 +7 -0.1
TOT22 MLBMIN 320287 551025 221099 81 .192.270.293.563 .101.287 347 .252 51 -18 +1 +0 +3 +9 -0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%MIN 517461 9719410 3912912 123 .210.289.334.623 .124.263 258 .281 74 -15 +1 +0 +6 +15 0.6
202824 MLB 26%MIN 553491 10520412 4413513 123 .214.296.344.640 .130.266 248 .289 79 -13 +1 +0 +6 +16 1.0
202925 MLB 44%MIN 574509 11021413 4713913 133 .216.299.350.648 .134.268 248 .294 83 -11 +1 +0 +6 +16 1.3
203026 MLB 59%MIN 585518 11322414 4914113 133 .218.302.357.659 .139.269 248 .296 85 -10 +1 +0 +6 +17 1.4
203127 MLB 76%MIN 587520 11322414 4914213 123 .217.301.356.656 .138.269 248 .296 85 -10 +1 +0 +6 +17 1.4
203228 MLB 84%MIN 584516 11221414 5014213 112 .217.302.355.657 .138.268 249 .295 84 -11 +1 -1 +6 +17 1.3
203329 MLBMIN 575508 10921413 4914213 102 .215.300.348.648 .134.267 259 .293 82 -11 +1 -1 +6 +16 1.1
203430 MLBMIN 565500 10620413 4814112 91 .212.296.346.642 .134.266 258 .290 80 -13 +1 -2 +6 +16 0.9
203531 MLBMIN 551487 10119312 4714012 70 .207.293.333.626 .125.264 259 .286 77 -14 +1 -3 +6 +16 0.6
203632 MLBMIN 533471 9618311 4513812 50 .204.290.325.615 .121.263 268 .281 74 -16 +1 -4 +6 +15 0.2
203733 MLBMIN 503444 9017310 4313411 30 .203.289.322.611 .119.261 279 .276 69 -17 +1 -4 +5 +14 -0.1
203834 MLBMIN 457406 801538 3812610 30 .197.282.308.590 .111.259 288 .270 65 -18 +1 -5 +5 +13 -0.5
▸ Career Totals (MLE all levels + projections)
Career 83327394 152629957167 6662143200 16637 .206.290.330.620 .124.265 268 .280 72 -260 +18 -20 +89 +236 6.6
/ 162G 650577 11823413 5216716 133 .205.289.326.615 .121.262 268 .280 72 -20 +1 -2 +7 +18 0.5

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
202117 ROKDSL Twins 200178 471310 15276 62 .264.342.348.690 .084.309 148 .315 99 -0 +0 +6 0.6
202218 ROKFCL Twins 204178 43914 19346 42 .242.335.371.706 .129.277 179 .321 104 +1 +0 +6 0.7
202319 AFort Myers Mighty Mussels 475394 9621311 5810314 204 .244.361.396.756 .152.294 2212 .338 117 +9 +2 +13 2.5
202420 A+Cedar Rapids Kernels 117103 25602 8206 52 .243.333.359.693 .117.284 177 .318 102 +0 +0 +3 0.4
202521 A+Cedar Rapids Kernels 495437 1002689 4311514 156 .229.318.387.705 .158.290 239 .317 101 +0 +1 +14 1.5

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
Danny De Andrade (OGILVIE) 22 35 40 50 35 .196/.272/.313 .117.271 67 30% 7% 63 -0.4
Tyler Kolodny
2010 · A
22 40→34 44→45 49→50 40 .200/.267/.320 .119.267 128 29% 6% 63 -0.9 .206/.277/.341 .135.271 149 29% 6% 72 -0.2 .206/.284/.354.148.258171026%5%76+0.0
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
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
Glenn Santiago
2023 · A
22 41 41→40 46→45 40 .203/.258/.301 .098.286 88 31% 6% 52 -1.6 .200/.266/.289 .089.294 89 32% 7% 53 -1.5 .183/.256/.260.077.2697832%8%40-1.1
Aaron McKeithan
2022 · A
22 41 39→40 49→40 40 .198/.263/.282 .084.277 67 29% 6% 50 -1.7 .218/.296/.304 .086.283 84 24% 7% 70 -0.3 .219/.302/.289.070.2807122%7%69-0.2
Alexander Campos
2022 · A
22 43 42→40 46→45 48 .209/.289/.317 .108.281 96 28% 9% 70 -0.3 .221/.304/.311 .090.312 86 29% 9% 75 -0.0 .236/.329/.308.072.3307628%11%83+0.2
Corey Joyce
2021 · A
22 44 40→45 50 40 .212/.268/.307 .095.307 88 32% 6% 58 -1.2 .203/.290/.313 .110.295 1112 32% 9% 70 -0.3 .212/.315/.318.105.30191429%10%80+0.2
Tucker Mitchell
2023 · A
22 38 43→50 51→45 35 .183/.259/.287 .104.311 1111 42% 6% 51 -1.7 .198/.263/.310 .112.287 137 34% 6% 58 -1.2 .185/.242/.280.095.26113533%5%38-1.0
Chris Roller
2019 · A
22 40 41→45 51→55 43 .194/.269/.295 .102.283 813 32% 8% 56 -1.3 .206/.272/.316 .110.289 812 30% 7% 63 -0.9 .179/.267/.290.111.261111933%9%54-0.8
Max George
2018 · A
22 37 43→45 50→55 43 .187/.259/.297 .109.244 1014 27% 7% 53 -1.5 .183/.264/.294 .111.250 1120 30% 7% 55 -1.4 .142/.247/.271.129.213152539%9%41-1.2
Blaze Alexander
2021 · A
22 45→48 42→50 51→50 43 .218/.284/.328 .110.300 911 29% 7% 71 -0.3 .204/.275/.332 .128.317 1412 38% 7% 69 -0.4 .220/.308/.345.126.328131034%8%84+0.4
Steven Baron
2013 · A
22 39 40→45 49→50 38 .193/.232/.289 .096.258 89 28% 4% 37 -2.6 .196/.234/.287 .091.275 69 30% 5% 38 -2.6 .233/.289/.308.075.3134825%7%63-0.4
Jake Rogers
2018 · A
23 41→40 44→55 47→45 42 .205/.269/.327 .122.280 1110 30% 7% 65 -0.7 .196/.267/.342 .146.271 177 33% 8% 69 -0.4 .206/.283/.412.206.26529133%8%91+0.6
Marcus Chiu
2019 · A
22 42→27 45 52→45 38 .206/.285/.332 .126.287 1211 31% 5% 74 -0.1 .180/.269/.303 .123.308 147 43% 7% 60 -1.0 .163/.249/.283.120.27515343%7%43-1.3
Willie MacIver
2021 · A
24 37→35 43→45 49→55 37 .190/.236/.299 .109.254 119 30% 4% 43 -2.2 .194/.260/.318 .124.282 1415 35% 7% 59 -1.1 .230/.309/.359.129.323131830%8%87+0.4
Sean Coyle
2013 · A
21 37→36 45→50 54→50 38 .192/.253/.319 .127.271 1213 33% 6% 56 -1.3 .204/.262/.355 .151.295 1814 36% 6% 69 -0.4 .197/.258/.362.165.284221538%7%67-0.3
Christian Villanueva
2013 · A
22 44→45 44→55 48→50 39 .218/.271/.331 .113.279 1113 26% 4% 66 -0.6 .211/.259/.351 .140.267 156 27% 5% 66 -0.6 .222/.280/.396.173.25523323%6%86+0.6
Chase Strumpf
2021 · A
23 44→35 42→50 49→45 42 .208/.284/.314 .106.302 87 32% 7% 68 -0.5 .197/.289/.340 .143.309 155 38% 9% 77 +0.1 .182/.286/.344.162.28620440%10%74-0.1
Yu Chang
2017 · A
21 41→44 45→50 49→45 39 .206/.256/.333 .127.283 128 31% 6% 60 -1.0 .202/.261/.347 .145.281 168 33% 6% 66 -0.6 .213/.268/.374.161.27120629%6%75-0.0
Jhonny Santos
2019 · A
22 40→39 40→45 50 40 .198/.245/.290 .093.261 814 27% 5% 44 -2.1 .204/.258/.321 .117.275 1313 29% 6% 58 -1.2 .188/.246/.327.139.24219931%7%52-0.7