Chad DelanceySS DSL Red Sox Red
Age 20 R/R 5'11" / 175 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.1 · 2032
wRC+†55
AVG/OBP/SLG.201 / .267 / .292
PA52
HR1
K%31
BB%7
MLB%0%
BAT: -2.7 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.6 runs (Positional adjustment)+1POSREP: +1.5 runs (Replacement-level credit)+1REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
2.1peak
2032

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+2.1$20M+$19M
2033Ext / FA-deal$1.0M+2.1$21M+$20M
2034Ext / FA-deal$1.0M+2.0$20M+$19M
2035Ext / FA-deal$4M+1.8$19M+$15M
2036Ext / FA-deal$5M+1.6$17M+$12M
2037Ext / FA-deal$6M+1.3$14M+$8M
Totals $19M $111M +$93M

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
202317 ROKDSL Red Sox Blue 6660 3100 3431 11 .050.109.067.176 .017.158 655 .089 -74 -13 -0 +0 +1 +2 -1.1
202418 ROKDSL Red Sox Red 7764 14210 6245 43 .219.333.281.615 .062.333 318 .276 69 -3 -0 +0 +1 +2 -0.0
▸ 2026 Season
202620 MLBBOS 5247 10201 4161 10 .213.288.319.608 .106.290 318 .257 55 -3 +0 +0 +1 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%BOS 117106 23412 9341 20 .217.284.330.615 .113.293 298 .280 73 -4 +0 +0 +1 +3 0.1
202822 MLB 28%BOS 262235 52926 22743 51 .221.296.353.649 .132.294 288 .295 84 -5 +1 +0 +3 +7 0.6
202923 MLB 48%BOS 366327 7413210 321004 71 .226.303.370.673 .144.295 279 .304 91 -4 +1 +0 +4 +10 1.2
203024 MLB 62%BOS 437389 9016312 401185 92 .231.311.380.692 .149.295 279 .310 95 -2 +1 +0 +5 +12 1.6
203125 MLB 80%BOS 479425 9917314 451286 102 .233.315.386.701 .153.296 279 .313 98 -1 +1 +0 +5 +14 1.9
203226 MLB 94%BOS 504445 10418315 481356 102 .234.317.389.705 .155.296 2710 .315 99 -0 +1 +0 +5 +14 2.1
203327 MLBBOS 515455 10518315 491386 102 .231.314.382.696 .152.296 2710 .315 99 -0 +1 +0 +6 +15 2.1
203428 MLBBOS 518457 10518315 501406 91 .230.314.381.695 .151.296 2710 .314 98 -1 +1 -1 +6 +15 2.0
203529 MLBBOS 513452 10418315 501406 81 .230.315.383.698 .153.295 2710 .312 97 -2 +1 -1 +5 +15 1.8
203630 MLBBOS 505445 10117314 491406 71 .227.312.373.685 .146.294 2810 .309 94 -3 +1 -2 +5 +14 1.6
203731 MLBBOS 493437 9917314 481385 40 .227.310.375.685 .149.292 2810 .305 92 -5 +1 -3 +5 +14 1.3
203832 MLBBOS 476422 9416313 461365 20 .223.307.367.674 .145.291 2910 .300 88 -6 +0 -4 +5 +13 0.9
203933 MLBBOS 447396 8514311 431315 00 .215.300.348.648 .134.289 2910 .295 84 -8 +0 -4 +5 +13 0.5
204034 MLBBOS 402356 7512210 391214 00 .211.296.340.636 .129.287 3010 .288 79 -10 +0 -5 +4 +11 0.1
204135 MLBBOS 348309 631028 331083 00 .204.287.327.614 .123.285 319 .281 73 -11 +0 -6 +4 +10 -0.3
204236 MLBBOS 290258 52826 27933 00 .202.285.318.603 .116.282 329 .272 66 -11 +0 -6 +3 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 68676085 135223042181 643195781 8917 .222.305.363.668 .141.294 289 .301 88 -91 +11 -31 +74 +195 16.0
/ 162G 650576 12822417 611858 82 .222.306.363.669 .141.294 289 .301 88 -9 +1 -3 +7 +18 1.5

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
202317 ROKDSL Red Sox Blue 6658 6300 5291 11 .103.188.155.343 .052.194 448 .163 -17 -9 -0 +2 -0.7
202418 ROKDSL Red Sox Red 7759 18310 11165 43 .305.453.390.843 .085.400 2114 .383 151 +4 -0 +2 0.6

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
Chad Delancey (OGILVIE) 20 .201/.267/.292 .091.290 11 31% 7% 55 -0.1
Alex Liddi
2009 · A
20 42→52 40→60 49→50 38 .202/.249/.300 .098.290 79 32% 5% 48 -1.9 .240/.291/.399 .159.335 167 32% 6% 92 +1.2 .241/.296/.424.182.33620533%6%99+1.7
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
Samad Taylor
2018 · A
20 45→53 37→50 51→65 41 .213/.268/.288 .076.300 410 29% 6% 53 -1.5 .183/.255/.284 .101.259 722 30% 8% 47 -1.9 .236/.312/.377.141.324164630%9%94+0.8
Eddys Leonard
2021 · A
20 42→46 40→50 46→45 45 .200/.274/.295 .095.288 79 31% 8% 59 -1.1 .227/.293/.378 .151.302 175 29% 7% 89 +0.9 .224/.290/.376.152.29017428%6%83+0.5
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Lane Thomas
2016 · A
20 43→51 37→55 51→55 42 .200/.259/.277 .077.294 39 32% 7% 46 -2.0 .194/.260/.302 .108.313 1013 38% 8% 54 -1.4 .248/.312/.427.179.308211325%7%107+2.0
Agustín Ramírez
2022 · A
20 37→45 43→55 44→50 39 .188/.245/.301 .113.275 114 34% 6% 47 -1.9 .223/.286/.366 .143.284 1611 26% 8% 82 +0.5 .230/.293/.405.176.264221622%7%92+1.1
Emmanuel Rivera
2016 · A
20 40→50 35→55 48→45 45 .185/.261/.247 .062.282 312 33% 9% 40 -2.4 .222/.269/.320 .098.293 77 25% 5% 61 -1.0 .246/.303/.412.166.29319422%7%97+1.1
Luis Torrens
2016 · A
20 42→49 38→55 49→30 44 .201/.271/.276 .075.277 55 28% 7% 52 -1.6 .207/.270/.291 .084.263 64 22% 7% 55 -1.4 .228/.285/.376.148.28819027%7%82+0.3
Tyler Stephenson
2017 · A
20 41→51 38→50 43→30 39 .197/.249/.277 .080.290 63 33% 6% 42 -2.3 .216/.283/.315 .099.290 93 27% 7% 67 -0.5 .253/.327/.399.146.32316125%9%102+1.3
Austin Dean
2014 · A
20 41→51 40→55 45 45 .197/.269/.289 .093.270 76 28% 8% 55 -1.4 .229/.274/.325 .096.288 76 22% 5% 65 -0.7 .257/.302/.413.156.30417421%5%96+1.1
Yairo Muñoz
2015 · A
20 41→51 38→50 48→55 42 .195/.251/.276 .081.262 47 26% 6% 43 -2.2 .218/.254/.321 .103.267 109 22% 4% 56 -1.3 .270/.315/.386.116.325111820%5%92+0.6
Peter Bourjos
2007 · A
20 45→55 41→55 52→60 36 .213/.257/.319 .106.318 711 34% 5% 56 -1.3 .233/.274/.346 .113.308 822 26% 5% 70 -0.3 .250/.299/.403.153.305122822%5%94+1.2
Bryan De La Cruz
2017 · A
20 42→52 37→55 43→45 42 .197/.261/.267 .071.293 55 33% 7% 45 -2.1 .218/.272/.304 .086.308 57 29% 6% 58 -1.2 .256/.303/.416.160.31419424%6%99+1.4
Jose Paez
2014 · A
20 46 39→45 51→50 38 .218/.263/.312 .093.303 512 29% 5% 56 -1.3 .209/.259/.289 .080.322 410 34% 6% 50 -1.8 .195/.251/.252.057.32041138%6%32-0.6
Chun-Hsiu Chen
2010 · A
21 43→53 41→50 48→45 40 .209/.263/.306 .097.302 86 32% 7% 55 -1.4 .250/.309/.388 .138.334 124 27% 7% 96 +1.5 .256/.318/.393.137.34712428%8%99+1.3
Maikel Franco
2012 · A
19 36→46 38→55 48→40 37 .180/.226/.261 .081.253 64 30% 5% 28 -3.2 .239/.273/.382 .143.277 163 20% 4% 80 +0.4 .263/.299/.434.171.29019217%4%100+1.6
Chris Nelson
2006 · A
20 41→51 38→50 47→50 36 .199/.245/.279 .080.293 68 33% 5% 40 -2.4 .216/.262/.340 .124.278 1111 26% 5% 64 -0.8 .257/.301/.387.130.31113721%5%87+0.6
Brendan Rodgers
2016 · A
19 43→53 40→50 46→45 39 .205/.255/.298 .093.301 77 33% 6% 50 -1.8 .224/.267/.352 .128.288 145 27% 4% 69 -0.4 .253/.308/.383.131.29813019%6%93+0.8
Michael Wing
2009 · A
20 45→53 39→55 50→40 39 .213/.258/.303 .090.291 56 28% 5% 52 -1.6 .230/.279/.345 .115.304 94 26% 6% 72 -0.2 .244/.285/.411.167.30419326%4%91+0.7