Jelson CocaSS DSL NYY Yankees
Age 20 R/R 5'11" / 158 lbs ROK HR +8%BB +8% Svc 0.0 · Ctrl thru 2037 peak 2.2 · 2032
wRC+†57
AVG/OBP/SLG.204 / .269 / .297
PA57
HR1
K%30
BB%7
MLB%0%
BAT: -2.8 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: +1.6 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
2.2peak
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+2.2$21M+$20M
2033Ext / FA-deal$1.0M+2.2$22M+$21M
2034Ext / FA-deal$1.0M+2.1$21M+$20M
2035Ext / FA-deal$4M+1.9$20M+$16M
2036Ext / FA-deal$6M+1.7$18M+$13M
2037Ext / FA-deal$7M+1.4$16M+$9M
Totals $19M $118M +$98M

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 NYY Yankees 8579 13210 6250 20 .165.224.215.439 .051.241 297 .193 6 -9 +0 +0 +1 +2 -0.5
202418 ROKDSL NYY Yankees 9384 7210 9370 31 .083.172.131.303 .048.149 4010 .148 -28 -14 +0 +0 +1 +3 -1.0
▸ 2026 Season
202620 MLBNYY 5752 11201 4171 10 .212.281.308.588 .096.288 307 .260 57 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%NYY 118106 23412 10341 20 .217.291.330.621 .113.291 298 .283 75 -3 +0 +0 +1 +3 0.2
202822 MLB 28%NYY 262234 52926 23713 51 .222.300.355.655 .132.293 279 .297 86 -4 +1 +0 +3 +7 0.7
202923 MLB 48%NYY 366326 7513210 33974 71 .230.309.374.683 .144.293 279 .306 93 -3 +1 +0 +4 +10 1.2
203024 MLB 62%NYY 437389 9116313 401145 92 .234.313.391.704 .157.294 269 .312 97 -2 +1 +0 +5 +12 1.7
203125 MLB 80%NYY 479426 9917314 451255 102 .232.313.385.698 .153.295 269 .315 99 -0 +1 +0 +5 +14 2.0
203226 MLB 94%NYY 504446 10418315 481315 102 .233.315.388.703 .155.295 2610 .317 101 +0 +1 +0 +5 +14 2.2
203327 MLBNYY 515454 10719315 501346 102 .236.320.390.709 .154.295 2610 .317 101 +0 +1 +0 +6 +15 2.2
203428 MLBNYY 518457 10719315 511365 91 .234.318.387.705 .153.295 2610 .316 100 -0 +1 -1 +6 +15 2.1
203529 MLBNYY 513453 10518315 501365 81 .232.315.384.699 .152.294 2710 .314 98 -1 +1 -1 +5 +15 1.9
203630 MLBNYY 505445 10218314 501365 70 .229.314.378.692 .148.293 2710 .310 96 -2 +1 -2 +5 +14 1.7
203731 MLBNYY 493437 9917314 481355 50 .227.310.375.685 .149.291 2710 .307 93 -4 +1 -3 +5 +14 1.4
203832 MLBNYY 476421 9416313 471335 20 .223.309.368.677 .145.290 2810 .302 89 -6 +0 -4 +5 +13 1.0
203933 MLBNYY 447396 8715311 441274 10 .220.304.356.660 .136.288 2810 .297 85 -8 +0 -4 +5 +13 0.6
204034 MLBNYY 402356 7613210 391184 00 .213.298.346.644 .132.286 2910 .290 80 -9 +0 -5 +4 +11 0.2
204135 MLBNYY 348309 651128 331063 00 .210.293.337.629 .126.284 309 .282 74 -10 +0 -6 +4 +10 -0.2
204236 MLBNYY 290258 52826 27913 00 .202.285.318.603 .116.281 319 .274 68 -11 +0 -6 +3 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 69086128 136923743182 657190369 9113 .223.306.365.671 .142.291 2810 .301 89 -88 +13 -31 +74 +196 16.7
/ 162G 650577 12822417 621796 91 .222.304.362.666 .140.289 2810 .301 89 -8 +1 -3 +7 +18 1.6

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
202317 ROKDSL NYY Yankees 8574 17310 11170 20 .230.329.297.627 .068.298 2013 .293 82 -2 +0 +2 0.1
202418 ROKDSL NYY Yankees 9379 10320 14260 31 .127.258.215.473 .089.189 2815 .230 34 -7 +0 +3 -0.4

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
Jelson Coca (OGILVIE) 20 .204/.269/.297 .093.288 11 30% 7% 57 -0.1
Erick Gonzalez
2011 · A
20 39 35→40 43→50 42 .184/.245/.241 .057.272 27 31% 7% 31 -3.0 .208/.293/.279 .071.271 310 22% 10% 62 -0.9 .214/.322/.287.073.26121416%13%74-0.0
Balbino Fuenmayor
2009 · A
19 39→49 38→55 41→30 31 .184/.229/.260 .077.310 53 41% 4% 29 -3.2 .199/.228/.291 .092.309 82 37% 3% 37 -2.7 .274/.306/.446.172.31125120%4%109+1.6
Rainer Nunez
2021 · A
20 37→47 38→45 39→30 41 .183/.231/.259 .076.230 64 23% 5% 30 -3.1 .221/.267/.349 .128.291 152 28% 5% 69 -0.4 .232/.273/.351.118.31215130%5%68-0.4
Roberto Perez
2009 · A
20 33 38→45 44→30 39 .169/.231/.243 .074.249 73 34% 6% 27 -3.3 .197/.264/.302 .105.260 114 27% 7% 56 -1.3 .189/.266/.312.123.22815124%8%60-0.4
Jose Paniagua
2013 · A
19 38 37→50 39→55 35 .186/.227/.259 .073.283 56 35% 5% 27 -3.3 .183/.238/.271 .088.267 69 32% 6% 37 -2.7 .174/.233/.274.100.24781031%6%32-1.1
David Medina
2009 · A
20 36→43 36→45 44→40 41 .170/.245/.234 .064.277 35 37% 8% 30 -3.1 .199/.259/.293 .094.310 84 36% 7% 51 -1.7 .203/.254/.313.110.3009234%6%50-0.9
Xavier Hernandez
2006 · A
20 38 36→40 49→30 36 .177/.237/.239 .061.295 45 39% 6% 27 -3.3 .200/.259/.278 .078.293 74 32% 6% 46 -2.0 .201/.260/.275.074.2778029%6%48-0.7
Jimmy Paredes
2008 · A
19 41→51 37→50 46→55 37 .199/.231/.275 .076.255 46 24% 3% 33 -2.9 .214/.244/.296 .082.271 412 22% 3% 43 -2.2 .255/.284/.386.131.349131530%4%83+0.3
Carlos Quintana
2007 · A
20 41 35→40 43→40 33 .188/.237/.244 .056.326 36 41% 5% 28 -3.2 .209/.272/.282 .073.298 46 29% 7% 53 -1.5 .214/.278/.283.069.2964827%6%53-0.5
Dalton Smith
2014 · A
20 39 37→40 45→30 37 .187/.236/.260 .073.282 55 34% 5% 32 -3.0 .191/.247/.276 .085.274 74 31% 6% 41 -2.3 .164/.225/.246.082.2268130%6%24-1.3
Jake Gatewood
2017 · A
21 35→39 41→50 42→45 31 .181/.214/.277 .096.277 95 38% 4% 27 -3.3 .189/.231/.314 .125.300 145 40% 5% 44 -2.1 .174/.220/.305.131.28116543%5%36-2.0
Ramy Perez
2015 · A
20 38 36→30 47→50 41 .181/.239/.242 .061.250 36 28% 6% 29 -3.2 .194/.241/.255 .061.251 28 23% 5% 32 -3.0 .190/.232/.242.052.2391920%4%22-1.2
Freddvil Chevez
2019 · A
19 36 39→40 48→30 39 .179/.234/.260 .081.243 74 29% 5% 32 -3.0 .205/.255/.289 .084.258 73 23% 4% 48 -1.9 .197/.243/.270.073.2498024%4%36-0.8
David Washington
2010 · A
19 41→37 35→55 49→45 33 .185/.236/.244 .058.322 36 41% 6% 27 -3.3 .192/.248/.293 .101.310 95 38% 6% 46 -2.0 .196/.256/.360.164.31722543%7%65-0.5
Marcos Vargas
2006 · A
20 41 35→45 44→45 33 .191/.236/.255 .064.314 26 38% 5% 30 -3.1 .197/.247/.295 .098.287 96 33% 5% 46 -2.0 .178/.228/.291.113.24013631%4%36-1.1
Telvin Nash
2010 · A
19 40→23 37→55 44→30 35 .186/.235/.262 .076.310 45 39% 6% 32 -3.0 .191/.250/.331 .140.324 173 44% 7% 58 -1.2 .167/.255/.356.189.27029147%9%65-0.2
Mario Gonzalez
2010 · A
18 42 35→40 47→40 42 .199/.241/.255 .057.261 27 24% 5% 32 -3.0 .202/.278/.264 .062.257 35 21% 8% 52 -1.6 .192/.291/.251.059.2364318%10%56-0.5
John Silviano
2014 · A
20 33→35 40→50 42→40 42 .169/.239/.261 .092.256 84 35% 8% 35 -2.8 .180/.237/.274 .094.318 85 43% 7% 37 -2.7 .179/.239/.324.145.27718241%7%48-1.0
Griffin Benson
2018 · A
20 39→23 35→50 48→30 39 .186/.241/.241 .055.281 34 34% 6% 29 -3.2 .179/.243/.280 .101.298 103 41% 6% 41 -2.3 .150/.222/.274.124.25114244%7%28-1.6
Brody Westmoreland
2017 · A
21 41 38→45 51→30 31 .175/.235/.254 .079.356 55 49% 6% 30 -3.1 .185/.244/.288 .103.330 104 44% 6% 43 -2.2 .159/.219/.269.110.26415144%6%27-1.2