Clayton CampbellC West Michigan Whitecaps
Age 22 R/R 6'1" / 209 lbs A+ HR +5%H +3% Svc 0.0 · Ctrl thru 2035 peak 1.5 · 2030
wRC+†56
AVG/OBP/SLG.194 / .280 / .302
PA169
HR3
K%31
BB%9
MLB%0%
BAT: -8.4 runs (wOBA-derived runs vs avg)-8BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.0 runs (Positional adjustment)+3POSREP: +4.8 runs (Replacement-level credit)+5REPTotal WAR: +0.00+0.0WAR
Scouting · nowfuture
HIT
3237
PWR
3641
SPD
4550
EYE
4954
trajectory · 10 yrs
1.5peak
2030

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+1.5$14M+$13M
2031Arb-3$0.9M+1.5$14M+$13M
2032Ext / FA-deal$0.9M+1.5$14M+$13M
2033Ext / FA-deal$2M+1.3$13M+$10M
2034Ext / FA-deal$3M+1.1$11M+$8M
2035Ext / FA-deal$3M+0.7$4M+$0.2M
Totals $12M $69M +$57M

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
202218 ROK2 teams 254213 20701 27999 03 .094.225.141.366 .047.161 3911 .183 -2 -29 -1 +0 +5 +7 -1.9
202319 ROK3 teams 270231 401715 281006 50 .173.279.320.600 .147.267 3710 .268 63 -11 +1 +0 +5 +8 0.2
202420 A2 teams 499443 681404 371599 32 .153.233.212.445 .059.221 327 .213 21 -44 -0 +0 +9 +14 -2.2
202521 ROK2 teams 180157 26403 15536 50 .166.264.248.512 .083.225 298 .229 33 -14 +1 +0 +3 +5 -0.4
▸ 2026 Season (actual · ROS · total)
202622 A+West Michigan Whitecaps 4541 7201 4140 10 .171.244.293.537 .122.231 319 .238 40 -3 +0 +0 +1 +1 -0.1
ROS22 MLBDET 124110 21502 11392 20 .191.276.291.567 .100.272 319 .266 62 -5 +0 +0 +2 +4 0.1
TOT22 MLBDET 169151 28703 15532 30 .185.268.291.559 .106.260 319 .259 56 -8 +1 +0 +3 +5 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%DET 238210 441015 22654 40 .210.297.338.635 .129.269 279 .283 75 -7 +1 +0 +4 +7 0.5
202824 MLB 26%DET 336296 631418 31896 61 .213.300.348.648 .135.272 269 .291 81 -7 +1 +0 +6 +10 0.9
202925 MLB 44%DET 392345 731619 371037 71 .212.301.342.643 .130.273 269 .295 84 -7 +1 +0 +7 +11 1.2
203026 MLB 59%DET 428377 8218111 411127 81 .218.306.358.664 .141.274 2610 .298 86 -7 +1 +0 +8 +12 1.5
203127 MLB 76%DET 444390 8318111 431168 81 .213.304.349.653 .136.274 2610 .298 86 -7 +1 +0 +8 +13 1.5
203228 MLB 84%DET 450395 8418111 441198 80 .213.304.347.651 .134.274 2610 .297 85 -7 +2 -1 +8 +13 1.5
203329 MLB 90%DET 446392 8318111 441197 70 .212.302.347.649 .135.273 2710 .295 84 -8 +1 -1 +8 +13 1.3
203430 MLBDET 440386 8118110 441197 70 .210.302.339.641 .130.271 2710 .292 81 -9 +1 -2 +8 +12 1.1
203531 MLBDET 415364 751619 411147 50 .206.299.330.628 .124.270 2710 .288 78 -10 +1 -3 +7 +12 0.7
203632 MLBDET 386339 691518 381086 40 .204.295.324.620 .121.268 2810 .283 75 -11 +1 -4 +7 +11 0.4
203733 MLBDET 349306 611317 341006 40 .199.292.317.609 .118.266 2910 .278 71 -12 +1 -4 +6 +10 0.1
203834 MLBDET 298262 521116 29885 30 .198.291.317.607 .118.264 3010 .271 66 -12 +1 -5 +5 +8 -0.2
203935 MLBDET 243213 40904 24744 30 .188.282.286.569 .099.262 3010 .264 60 -11 +1 -6 +4 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 61925429 106524113125 5901776114 899 .196.288.314.603 .118.263 2910 .275 69 -219 +14 -25 +111 +175 5.8
/ 162G 650570 11125113 6218612 91 .195.287.311.598 .116.261 2910 .275 69 -23 +1 -3 +12 +18 0.6

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
202218 ROKFCL Tigers 129101 15501 21335 02 .149.323.228.551 .079.203 2616 .271 66 -5 -1 +4 -0.2
202218 INTLAuckland Tuatara 125112 29403 6244 01 .259.320.375.695 .116.295 195 .307 93 -1 -0 +4 0.2
202319 ALakeland Flying Tigers 4837 7211 9161 10 .189.362.378.740 .189.286 3319 .333 113 +1 +0 +1 0.2
202319 ROKFCL Tigers 137109 311603 21305 40 .284.422.514.936 .229.359 2215 .409 171 +11 +1 +4 1.6
202319 INTLSydney Blue Sox 8573 11101 10150 00 .151.253.205.458 .055.169 1812 .217 25 -7 +0 +2 -0.5
202420 ALakeland Flying Tigers 343290 571404 38797 31 .197.304.286.590 .090.248 2311 .272 66 -13 +0 +10 -0.3
202420 INTLSydney Blue Sox 156141 391102 10242 01 .277.333.397.730 .121.314 156 .322 105 +1 -0 +4 0.5
202521 ALakeland Flying Tigers 7660 8300 14191 10 .133.307.183.490 .050.195 2518 .248 48 -4 +0 +2 -0.2
202521 ROKFCL Tigers 10491 23203 7185 40 .253.340.374.713 .121.282 177 .324 106 +1 +1 +3 0.5

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
Clayton Campbell (OGILVIE) 22 32→37 36→41 45→50 54 .194/.280/.302 .108.277 32 31% 9% 64 -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
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
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
Marcus Greene Jr.
2017 · A
22 35 46→50 45→40 40 .185/.251/.313 .128.265 155 35% 7% 53 -1.5 .209/.268/.329 .120.279 134 28% 7% 65 -0.7 .211/.271/.321.110.27512227%7%61-0.4
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
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
Andy Paz
2015 · A
22 39 38→40 45 45 .191/.251/.267 .076.256 55 26% 7% 40 -2.4 .211/.266/.279 .068.290 46 27% 7% 50 -1.8 .235/.280/.283.048.3033722%6%52-0.5
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
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
Miguel Amaya
2021 · A
22 42 46→50 48→40 46 .212/.283/.341 .129.261 144 24% 7% 75 -0.0 .218/.306/.350 .132.298 146 29% 9% 87 +0.8 .233/.304/.378.146.27816122%7%91+0.5
Andrew Susac
2013 · A
23 42→39 43→50 46→30 45 .207/.280/.320 .113.292 114 31% 8% 67 -0.5 .217/.291/.360 .143.291 163 29% 9% 82 +0.5 .217/.295/.373.156.28219129%9%85+0.3
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
Franklin Tineo
2017 · A
22 36 37→45 45→50 45 .177/.245/.250 .073.241 59 27% 7% 34 -2.8 .198/.276/.297 .099.276 810 29% 8% 60 -1.0 .201/.298/.325.124.262101225%10%74-0.0
Adam Zebrowski
2023 · A
22 41→33 45 50→40 45 .202/.279/.325 .123.286 125 32% 9% 69 -0.4 .185/.246/.306 .121.280 144 37% 7% 50 -1.8 .171/.225/.285.114.25915239%5%32-1.9
Tyler Grimes
2013 · A
23 38 42→40 47→40 41 .187/.266/.294 .107.282 98 35% 8% 55 -1.4 .206/.282/.301 .095.307 75 33% 7% 63 -0.8 .207/.285/.293.087.3116232%7%60-0.6
Jack Brannigan
2023 · A
22 43 43→50 48→50 43 .207/.283/.317 .110.309 1113 34% 8% 68 -0.5 .202/.282/.359 .157.299 1917 37% 8% 79 +0.3 .185/.268/.344.160.263201836%8%67-0.3
Niko Vasquez
2011 · A
22 42→41 41→50 42→45 47 .202/.282/.303 .101.284 84 30% 9% 63 -0.8 .197/.265/.307 .110.264 103 28% 8% 58 -1.2 .227/.282/.376.149.29019628%6%81+0.2
Francisco Acuna
2022 · A
22 39→47 39→40 48→50 44 .186/.276/.275 .089.270 610 31% 8% 56 -1.3 .202/.273/.299 .097.277 711 28% 6% 59 -1.1 .213/.285/.313.100.28291626%7%64-0.4
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
Kevin Padlo
2018 · A
22 36→40 45→55 44→50 48 .184/.270/.312 .128.257 138 32% 10% 62 -0.9 .195/.278/.343 .148.287 158 35% 9% 73 -0.1 .191/.263/.361.170.260211235%8%69-0.3