Jack GoodmanSS Lakeland Flying Tigers
Age 22 R/R 6'0" / 185 lbs A HR +5%H +3% Svc 0.0 · Ctrl thru 2036 peak 1.6 · 2031
wRC+†23
AVG/OBP/SLG.213 / .277 / .326
PA71
HR1
K%29
BB%7
MLB%0%
BAT: -6.2 runs (wOBA-derived runs vs avg)-6BATRUN: +0.9 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +2.0 runs (Replacement-level credit)+2REPTotal WAR: -0.30-0.3WAR
trajectory · 10 yrs
1.6peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M+1.6$15M+$14M
2032Ext / FA-deal$0.9M+1.5$14M+$13M
2033Ext / FA-deal$1.0M+1.3$13M+$12M
2034Ext / FA-deal$2M+1.1$11M+$9M
2035Ext / FA-deal$3M+0.9$5M+$2M
2036Ext / FA-deal$2M+0.5$3M+$0.2M
Totals $11M $60M +$50M

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
202521 ALakeland Flying Tigers 5244 12301 7111 41 .273.385.409.794 .136.344 2113 .354 129 +2 +0 +0 +1 +1 0.4
▸ 2026 Season (actual · ROS · total)
202622 ALakeland Flying Tigers 5952 8200 7260 40 .154.254.192.447 .038.308 4412 .204 14 -6 +1 +0 +1 +2 -0.3
ROS22 MLBDET 1211 2000 140 00 .182.250.182.432 .000.293 338 .268 63 -0 +0 +0 +0 +0 -0.0
TOT22 MLBDET 7163 10200 8300 40 .159.254.190.444 .032.303 4211 .215 23 -6 +1 +0 +1 +2 -0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%DET 166150 34614 14411 41 .227.297.360.657 .133.279 258 .290 80 -4 +0 +0 +2 +5 0.3
202824 MLB 26%DET 281251 571027 25683 71 .227.305.367.671 .139.281 249 .299 87 -4 +1 +0 +3 +8 0.8
202925 MLB 43%DET 353315 721329 32853 91 .229.306.368.674 .140.282 249 .305 92 -3 +1 +0 +4 +10 1.2
203026 MLB 58%DET 400356 8315211 37964 101 .233.312.379.692 .146.283 249 .308 94 -3 +2 +0 +4 +11 1.5
203127 MLB 76%DET 423377 8815312 391024 101 .233.312.385.697 .151.283 249 .308 94 -3 +2 +0 +5 +12 1.6
203228 MLB 84%DET 434386 9016312 411054 101 .233.313.383.697 .150.283 249 .307 93 -3 +2 -1 +5 +12 1.5
203329 MLB 90%DET 433385 8715212 411064 91 .226.307.369.676 .143.282 249 .305 92 -4 +1 -1 +5 +12 1.3
203430 MLBDET 429381 8515211 411064 80 .223.305.360.665 .136.281 2510 .302 89 -5 +2 -2 +5 +12 1.1
203531 MLBDET 418372 8314211 391054 60 .223.304.360.664 .137.279 259 .298 87 -6 +1 -3 +4 +12 0.9
203632 MLBDET 402358 7914210 381043 40 .221.301.355.656 .134.278 269 .294 83 -8 +1 -4 +4 +11 0.5
203733 MLBDET 374333 721229 35993 20 .216.296.345.642 .129.276 269 .288 79 -9 +0 -4 +4 +11 0.2
203834 MLBDET 330293 621027 31903 10 .212.294.331.625 .119.274 279 .282 74 -10 +0 -5 +4 +9 -0.2
203935 MLBDET 278248 50816 26792 00 .202.283.315.597 .113.272 289 .274 68 -10 +0 -6 +3 +8 -0.5
▸ Career Totals (MLE all levels + projections)
Career 47854260 95616626122 447120143 848 .224.304.362.666 .137.282 259 .299 87 -71 +14 -25 +51 +136 10.7
/ 162G 650579 13123417 611636 111 .226.307.368.675 .142.284 259 .299 87 -10 +2 -3 +7 +18 1.4

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
202521 ALakeland Flying Tigers 5242 14311 981 41 .333.462.524.985 .190.394 1517 .437 192 +5 +0 +1 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
Jack Goodman (OGILVIE) 22 .213/.277/.326 .114.291 11 29% 7% 68 -0.1
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
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
Jonathan India
2019 · A
22 43→51 45→50 51→50 45 .208/.290/.333 .125.296 1210 32% 8% 76 +0.0 .217/.304/.340 .123.297 1210 29% 9% 83 +0.6 .243/.342/.393.150.294171122%10%107+1.9
John Hester
2007 · A
23 42 43→55 50 41 .206/.271/.327 .122.299 107 33% 7% 65 -0.7 .224/.267/.365 .141.298 147 29% 5% 72 -0.2 .249/.292/.416.167.322151027%5%94+0.7
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
Hunter Goodman
2022 · A
22 46→47 42→65 50→40 43 .220/.291/.330 .111.304 97 29% 7% 75 -0.0 .215/.268/.415 .200.284 264 34% 6% 88 +0.9 .221/.275/.455.234.25932229%6%99+1.4
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
Connor Norby
2022 · A
22 48→49 43→55 49→50 45 .228/.300/.340 .113.324 1011 31% 8% 81 +0.4 .238/.298/.405 .167.308 2011 28% 7% 97 +1.5 .239/.300/.413.174.310211129%7%97+1.5
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
Ramon Santana
2008 · A
22 44→53 44→45 49→45 46 .214/.295/.332 .118.288 117 28% 8% 77 +0.1 .215/.282/.328 .113.315 108 33% 6% 70 -0.3 .212/.276/.321.109.3188433%6%62-0.4
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
Andy Burns
2013 · A
22 44→54 47→50 53→55 44 .218/.289/.364 .146.294 1313 29% 8% 82 +0.5 .236/.286/.372 .136.293 1216 23% 6% 82 +0.5 .246/.291/.367.121.297101520%5%81+0.4
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
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
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
Marcus Greene Jr.
2016 · A
21 42 46→50 52→40 44 .205/.283/.341 .136.298 138 34% 9% 74 -0.1 .199/.260/.324 .125.272 144 31% 7% 60 -1.0 .192/.251/.302.111.25513129%6%48-0.7
Tyler Stephenson
2019 · A
22 43→53 42→50 46→30 44 .212/.280/.315 .103.285 103 28% 8% 66 -0.6 .232/.305/.347 .115.297 113 24% 8% 85 +0.7 .253/.327/.399.146.32316125%9%102+1.3
Eduardo Valencia
2023 · A
23 44→54 42→50 49→30 45 .215/.282/.315 .100.276 105 25% 7% 67 -0.5 .222/.280/.345 .123.283 144 26% 7% 73 -0.1 .250/.305/.416.166.30422025%6%100+1.0
Nick Hundley
2006 · A
22 46→45 41→55 50→40 42 .219/.279/.317 .098.303 88 29% 7% 66 -0.6 .216/.273/.358 .142.269 163 25% 7% 74 -0.1 .254/.322/.429.174.31917425%8%107+1.2
Jordan Newton
2008 · A
22 45 43→55 50 40 .221/.271/.331 .110.296 1011 28% 5% 66 -0.6 .219/.261/.343 .124.314 109 32% 4% 64 -0.8 .220/.263/.347.128.31810833%4%63-0.4