Jake Zitella3B FCL Mets
Age 21 R/R 6'0" / 193 lbs ROK H +5%HR +3% Svc 0.0 · Ctrl thru 2037 peak 1.4 · 2032
wRC+†61
AVG/OBP/SLG.206 / .273 / .306
PA79
HR1
K%30
BB%7
MLB%0%
BAT: -3.5 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: -0.10-0.1WAR
trajectory · 10 yrs
1.4peak
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+1.4$13M+$12M
2033Ext / FA-deal$1.0M+1.3$13M+$12M
2034Ext / FA-deal$1.0M+1.1$11M+$10M
2035Ext / FA-deal$2M+0.9$5M+$3M
2036Ext / FA-deal$2M+0.6$3M+$1M
2037Ext / FA-deal$1.0M+0.3$2M+$0.7M
Totals $8M $47M +$39M

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
202318 ROKFCL Mets 2119 2100 260 00 .105.190.158.348 .053.154 2910 .162 -18 -3 +0 +0 +0 +1 -0.2
202419 ROKFCL Mets 172154 27611 10617 11 .175.257.247.504 .071.280 356 .229 33 -13 -0 +0 +1 +5 -0.8
▸ 2026 Season
202621 MLBNYM 7972 15311 6241 10 .208.278.319.598 .111.289 308 .265 61 -3 +0 +0 +0 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%NYM 120108 24413 10341 20 .222.294.361.655 .139.291 288 .284 75 -3 +0 +0 +0 +3 0.1
202823 MLB 28%NYM 256230 51926 21713 41 .222.295.357.652 .135.292 288 .295 84 -5 +0 +0 +1 +7 0.4
202924 MLB 45%NYM 355317 7313210 31964 61 .230.307.379.685 .148.293 279 .303 90 -4 +1 +0 +1 +10 0.8
203025 MLB 60%NYM 416371 8615312 371125 71 .232.310.385.695 .154.294 279 .307 93 -3 +1 +0 +1 +12 1.1
203126 MLB 77%NYM 453404 9316313 411225 81 .230.309.381.690 .151.294 279 .310 95 -3 +1 +0 +2 +13 1.3
203227 MLB 92%NYM 472421 9717314 431275 81 .230.309.385.694 .154.294 279 .310 95 -3 +1 +0 +2 +13 1.4
203328 MLBNYM 479427 9817314 441305 71 .230.309.382.691 .152.294 279 .308 94 -3 +1 -1 +2 +14 1.3
203429 MLBNYM 478426 9717313 441315 61 .228.307.373.681 .146.293 279 .306 93 -4 +1 -1 +2 +14 1.1
203530 MLBNYM 472420 9416313 441315 50 .224.305.369.674 .145.292 289 .303 90 -5 +1 -2 +2 +13 0.9
203631 MLBNYM 461410 9116312 431305 30 .222.303.363.667 .141.290 289 .299 87 -7 +1 -3 +2 +13 0.6
203732 MLBNYM 445396 8615211 411285 10 .217.299.348.647 .131.289 299 .295 84 -8 +0 -4 +2 +13 0.3
203833 MLBNYM 416371 7914210 381224 00 .213.293.342.635 .129.287 299 .289 80 -10 +0 -4 +1 +12 -0.1
203934 MLBNYM 371330 701229 341124 00 .212.293.342.636 .130.285 309 .283 75 -11 +0 -5 +1 +11 -0.4
▸ Career Totals (MLE all levels + projections)
Career 54664876 108319134142 489153764 598 .222.301.363.664 .140.292 289 .298 86 -87 +9 -20 +20 +155 7.8
/ 162G 650580 12923417 581838 71 .222.302.364.666 .141.292 289 .298 86 -10 +1 -2 +2 +18 0.9

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
202318 ROKFCL Mets 2118 3100 340 00 .167.286.222.508 .056.214 1914 .247 47 -1 +0 +1 -0.1
202419 ROKFCL Mets 172147 37912 17417 11 .252.357.367.724 .116.333 2410 .331 112 +2 -0 +5 0.7

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
Jake Zitella (OGILVIE) 21 .206/.273/.306 .101.289 11 30% 7% 61 -0.1
David Bote
2014 · A
21 40→48 39→55 47→45 47 .191/.269/.278 .087.263 67 28% 9% 52 -1.6 .204/.273/.294 .090.273 66 26% 7% 57 -1.2 .234/.308/.397.164.29819627%8%95+1.0
Agustín Ramírez
2023 · A
21 43→45 45→55 50 43 .213/.273/.339 .126.289 1210 30% 7% 69 -0.4 .229/.292/.389 .160.276 1913 24% 8% 90 +1.0 .230/.293/.405.176.264221622%7%92+1.1
Michael Chavis
2017 · A
21 36→46 45→60 46→45 34 .189/.233/.308 .119.271 136 35% 4% 44 -2.1 .224/.274/.401 .177.296 234 32% 5% 86 +0.8 .235/.292/.438.203.30429332%6%100+1.1
Keon Broxton
2011 · A
21 38→48 41→55 53→60 36 .184/.238/.293 .109.299 710 39% 6% 41 -2.3 .196/.253/.296 .100.314 915 38% 7% 49 -1.8 .225/.301/.390.165.341173836%9%92+1.0
Eguy Rosario
2021 · A
21 43→49 42→55 48→55 39 .213/.259/.322 .109.292 912 30% 5% 58 -1.2 .227/.286/.366 .139.304 1420 28% 7% 82 +0.5 .223/.285/.369.146.292152128%7%80+0.2
Tucker Mitchell
2022 · A
21 43 39→50 51→45 39 .202/.262/.293 .090.301 67 33% 6% 52 -1.6 .193/.267/.305 .112.296 138 37% 7% 59 -1.1 .178/.253/.291.113.25315734%7%47-0.8
Clint Frazier
2016 · A
21 44→46 44→55 47→50 40 .213/.274/.332 .119.314 119 34% 7% 68 -0.5 .227/.285/.378 .151.308 1511 30% 7% 84 +0.6 .237/.308/.417.181.30120627%8%101+0.9
Parker Meadows
2021 · A
21 40→47 41→55 46→55 42 .197/.253/.288 .091.267 99 29% 7% 47 -1.9 .203/.263/.335 .132.270 1412 29% 7% 64 -0.8 .225/.292/.400.175.278202126%8%91+1.1
Emmanuel Rivera
2017 · A
21 40→50 37→55 49→45 43 .190/.250/.266 .075.266 310 28% 7% 40 -2.4 .234/.273/.341 .107.295 96 23% 4% 68 -0.5 .246/.303/.412.166.29319422%7%97+1.1
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
Ryan McKenna
2018 · A
21 43→53 42→50 52→55 39 .210/.265/.317 .107.297 912 31% 6% 59 -1.1 .226/.289/.332 .106.311 912 28% 7% 73 -0.1 .218/.295/.357.140.319161334%9%80+0.2
Alonzo Harris
2010 · A
21 41→50 45→55 50→60 37 .209/.251/.325 .116.281 1412 31% 5% 56 -1.3 .210/.248/.305 .095.275 815 26% 4% 48 -1.9 .240/.296/.401.161.286193522%7%92+0.9
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
Bo Naylor
2021 · A
21 41→43 44→55 50 43 .203/.259/.325 .122.273 117 29% 7% 59 -1.1 .199/.278/.352 .153.276 1812 33% 9% 75 -0.0 .216/.308/.399.183.269221228%11%97+1.2
Felix Reyes
2022 · A
21 42→52 43→50 49→45 38 .205/.269/.316 .111.287 1112 31% 5% 62 -0.9 .203/.244/.316 .113.258 137 26% 4% 50 -1.7 .241/.274/.386.144.27517819%4%81+0.2
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
Yeison Asencio
2011 · A
21 41→51 41→50 49→45 45 .200/.261/.302 .103.250 810 23% 7% 54 -1.4 .243/.275/.360 .117.282 98 17% 4% 74 -0.1 .270/.297/.398.128.28815712%2%92+0.9
James McCann
2012 · A
22 41→51 42→50 49→45 39 .203/.260/.306 .103.288 97 32% 6% 55 -1.4 .223/.261/.310 .087.291 66 24% 4% 55 -1.4 .254/.315/.415.161.33120428%7%104+1.1
Max Stassi
2012 · A
21 40→43 44→55 43→40 41 .198/.260/.309 .111.287 125 34% 7% 56 -1.3 .218/.270/.362 .144.290 174 30% 5% 74 -0.1 .208/.295/.359.151.27120030%10%81+0.2
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