Termarr JohnsonSS Indianapolis Indians
Age 22 L/R 5'7" / 201 lbs AAA BB +7% Svc 0.0 · Ctrl thru 2033 peak 2.3 · 2030
wRC+†57
AVG/OBP/SLG.217 / .299 / .332
PA320
HR7
SB12
K%27
BB%9
MLB%10%
BAT: -15.4 runs (wOBA-derived runs vs avg)-15BATRUN: +1.9 runs (SB/CS + UBR baserunning)+2RUNFLD: -0.6 runs (Defensive runs vs avg)-1FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -0.20-0.2WAR
Scouting · nowfuture
HIT
5252
PWR
5051
SPD
5047
FLD
4548
EYE
5260
trajectory · 10 yrs
2.4peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2028
Service   0 yrs (est)
Team Control Through   2033
First FA Year   2034
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2028
2027MiLBstill in minors · estimated debut 2028
2028Pre-Arb$0.8M+1.6$14M+$13M
2029Arb-1$0.8M+2.1$18M+$18M
2030Arb-2$0.9M+2.3$21M+$20M
2031Arb-3$5M+2.3$21M+$17M
2032Ext / FA-deal$8M+2.1$20M+$12M
2033Ext / FA-deal$10M+1.9$19M+$9M
Totals $25M $113M +$88M

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 A2 teams 8268 12501 11280 61 .176.291.294.585 .118.262 3413 .269 64 -3 +1 +0 +1 +2 0.1
202319 A2 teams 462379 7511115 711638 102 .198.336.351.687 .153.296 3515 .304 91 -5 +1 +0 +5 +13 1.5
202420 A+3 teams 598524 10218114 581629 255 .195.286.313.599 .118.249 2710 .269 64 -24 +3 +0 +6 +17 0.2
202521 AAAltoona Curve 503454 1091229 391244 2012 .240.306.335.641 .095.310 258 .284 76 -14 -1 +0 +5 +14 0.5
▸ 2026 Season (actual · ROS · total)
202622 AAAIndianapolis Indians 8674 12300 10240 50 .162.262.203.465 .041.240 2812 .211 20 -8 +1 +0 +1 +2 -0.4
ROS22 MLBPIT 234207 43714 23632 72 .208.293.309.602 .101.275 2710 .278 71 -8 +1 -1 +3 +7 0.2
TOT22 MLBPIT 320281 551014 33872 122 .196.285.281.566 .085.267 2710 .260 57 -15 +2 -1 +3 +9 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 27%PIT 557490 10617213 571335 174 .216.304.339.643 .122.267 2410 .292 82 -12 +2 -1 +6 +16 1.1
202824 MLB 45%PIT 595523 11719216 621405 174 .224.312.359.671 .136.270 2410 .302 89 -7 +2 -2 +6 +17 1.6
202925 MLB 59%PIT 617541 12220217 651436 184 .226.315.364.679 .139.273 2311 .308 94 -4 +2 -2 +7 +17 2.1
203026 MLB 77%PIT 629551 12520218 671466 174 .227.317.368.686 .142.274 2311 .311 96 -3 +2 -2 +7 +18 2.3
203127 MLB 92%PIT 631552 12620219 681476 174 .228.319.375.694 .147.274 2311 .311 96 -3 +2 -2 +7 +18 2.3
203228 MLBPIT 628549 12420218 681486 153 .226.318.368.686 .142.273 2411 .310 96 -3 +2 -2 +7 +18 2.1
203329 MLBPIT 619541 12119218 671476 133 .224.316.366.682 .142.273 2411 .308 94 -4 +1 -3 +7 +18 1.9
203430 MLBPIT 609533 11919217 661475 122 .223.315.362.677 .139.271 2411 .305 92 -6 +2 -4 +7 +17 1.6
203531 MLBPIT 596521 11418216 651465 91 .219.311.353.665 .134.270 2411 .302 89 -7 +1 -4 +6 +17 1.3
203632 MLBPIT 578505 10917215 631455 60 .216.309.347.655 .131.269 2511 .297 85 -9 +1 -5 +6 +16 0.9
203733 MLBPIT 548479 10216114 591415 50 .213.306.338.644 .125.267 2611 .292 81 -12 +1 -6 +6 +16 0.5
203834 MLBPIT 500438 9114112 541334 30 .208.300.326.627 .119.266 2711 .285 77 -13 +1 -6 +5 +14 0.1
203935 MLBPIT 444391 7912110 471233 20 .202.293.315.607 .113.264 2811 .278 71 -15 +0 -7 +5 +13 -0.4
▸ Career Totals (MLE all levels + projections)
Career 94308246 179628428246 1010237990 21951 .218.310.349.658 .131.273 2511 .297 86 -151 +23 -46 +101 +267 19.8
/ 162G 650568 12420217 701646 154 .218.311.350.661 .132.274 2511 .297 86 -10 +1 -3 +7 +18 1.3

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 ABradenton Marauders 5340 11401 10130 41 .275.420.450.870 .175.345 2519 .370 142 +2 +0 +2 0.4
202218 ROKFCL Pirates 2923 3200 680 20 .130.310.217.528 .087.200 2821 .264 60 -1 +0 +1 -0.0
202319 A+Greensboro Grasshoppers 13299 24205 29323 30 .242.427.414.842 .172.306 2422 .385 153 +8 +1 +4 1.2
202319 ABradenton Marauders 330250 6110113 72885 72 .244.422.448.870 .204.318 2722 .391 157 +21 +1 +9 3.2
202420 AAAltoona Curve 5748 11202 7110 21 .229.327.396.723 .167.243 1912 .315 99 -0 +0 +2 0.2
202420 A+Greensboro Grasshoppers 487395 9417113 781059 204 .238.376.385.760 .147.288 2216 .346 123 +13 +2 +14 2.9
202420 INTLScottsdale Scorpions 5440 10221 14110 30 .250.444.475.919 .225.321 2026 .411 172 +4 +1 +2 0.7
202521 AAAltoona Curve 503434 1181539 59934 2012 .272.364.382.747 .111.326 1812 .337 116 +9 -1 +14 2.3

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
Termarr Johnson (OGILVIE) 22 52 50→51 50→47 60 .217/.299/.332 .115.284 78 27% 9% 79 +0.2
Brian Goodwin
2013 · AA
22 46→52 47→60 48→50 48 .228/.298/.366 .138.291 1413 26% 8% 87 +0.8 .216/.287/.334 .118.296 1014 28% 8% 74 -0.1 .243/.309/.437.195.311231128%8%105+1.3
Graham Pauley
2023 · A
22 46→51 45→55 49→50 51 .225/.302/.352 .127.274 1212 22% 9% 85 +0.7 .233/.299/.395 .162.280 1911 23% 8% 95 +1.4 .223/.293/.390.167.262201123%8%88+0.7
Ryan Kalish
2010 · AA
22 49→51 44→50 52→55 46 .237/.296/.355 .118.303 1214 25% 8% 82 +0.5 .240/.297/.372 .132.298 1423 23% 7% 87 +0.8 .232/.286/.357.124.293122624%7%76+0.0
Shed Long Jr.
2018 · AA
22 47→48 47→50 49→50 43 .234/.292/.373 .139.312 1410 29% 7% 85 +0.7 .229/.290/.369 .140.313 1512 30% 7% 84 +0.6 .222/.286/.361.140.301151230%7%76+0.1
Jason Martin
2018 · AA
22 42→50 48→60 47→50 41 .216/.267/.362 .145.288 1513 30% 6% 72 -0.2 .226/.272/.362 .136.296 1412 27% 6% 74 -0.1 .218/.285/.408.191.27126829%8%90+0.7
Alek Thomas
2022 · AAA
22 50→52 48→50 50 44 .246/.306/.398 .152.324 1312 27% 7% 98 +1.6 .240/.291/.381 .141.289 1411 21% 6% 87 +0.8 .235/.283/.368.133.274141119%6%78+0.1
Caleb Gindl
2011 · AA
22 48→54 45→50 48→50 45 .237/.294/.366 .130.302 1210 25% 7% 85 +0.7 .239/.296/.367 .128.298 127 23% 7% 85 +0.7 .237/.294/.369.133.29513423%7%81+0.4
Kirk Nieuwenhuis
2010 · AA
22 49→50 47→55 51→50 43 .238/.303/.387 .149.330 1311 31% 7% 94 +1.3 .240/.294/.390 .150.333 1411 30% 7% 91 +1.1 .219/.301/.407.188.300201132%10%94+0.8
Brayan Rocchio
2023 · AAA
22 44→54 47→50 47→50 43 .225/.283/.363 .138.279 1513 25% 6% 80 +0.4 .232/.298/.354 .122.281 1016 20% 7% 83 +0.6 .229/.300/.346.118.27391719%8%79+0.3
Yusniel Díaz
2019 · AA
22 48→52 44→45 42→50 46 .236/.294/.356 .120.303 1210 26% 8% 82 +0.5 .216/.275/.345 .129.292 137 29% 7% 72 -0.2 .205/.272/.325.121.27414929%8%63-0.4
Canaan Smith-Njigba
2021 · A
22 47 44→45 50→55 45 .230/.291/.353 .122.306 1210 28% 8% 79 +0.3 .230/.300/.348 .118.336 1017 32% 9% 82 +0.5 .228/.299/.352.124.336112133%9%80+0.2
Rio Ruiz
2016 · AA
22 48→52 42→50 43→40 50 .230/.296/.342 .112.289 95 23% 9% 79 +0.3 .227/.286/.341 .114.294 113 25% 8% 75 -0.0 .223/.289/.369.145.26517322%8%81+0.2
Nick Senzel
2017 · A
22 48→56 44→50 51→50 47 .232/.297/.363 .132.298 1016 25% 8% 85 +0.7 .253/.307/.400 .147.331 1314 26% 7% 98 +1.6 .259/.313/.416.157.335151626%7%102+1.2
Jordan Schafer
2009 · AA
22 47→53 47→50 50→65 41 .231/.280/.376 .144.314 1313 30% 6% 81 +0.4 .218/.281/.322 .104.301 817 28% 8% 67 -0.5 .212/.291/.289.077.28655326%10%57-0.6
Reid Brignac
2008 · AA
22 45→51 49→55 48→50 42 .231/.277/.380 .149.282 179 25% 6% 81 +0.4 .232/.273/.366 .134.287 139 23% 5% 76 +0.0 .234/.274/.359.124.29211623%5%70-0.2
Parker Meadows
2023 · AA
23 41→47 49→55 51→55 43 .211/.270/.356 .146.270 1612 28% 7% 72 -0.2 .223/.290/.386 .163.284 1819 27% 8% 89 +0.9 .223/.295/.390.167.282182227%9%89+0.8
J.P. Crawford
2017 · AAA
22 49→58 40→45 47→50 53 .236/.302/.329 .092.275 812 17% 9% 78 +0.2 .215/.295/.331 .116.268 108 22% 10% 76 +0.1 .263/.355/.386.123.30711217%11%113+2.8
Luis García Jr.
2022 · MLB
22 48→57 47→50 43→50 42 .243/.274/.376 .133.279 156 20% 4% 79 +0.3 .266/.301/.412 .146.307 159 18% 5% 99 +1.7 .270/.306/.407.137.308141317%5%97+1.4
Jordan Danks
2010 · AA
23 48→50 44→50 50 43 .232/.293/.355 .123.324 1111 31% 7% 81 +0.4 .226/.285/.345 .119.330 1114 32% 7% 75 -0.0 .237/.309/.368.131.327151130%9%88+0.6
Bryson Stott
2022 · AAA
24 49→56 47→45 48→55 47 .240/.306/.374 .134.324 1410 29% 9% 92 +1.2 .247/.306/.374 .127.297 1320 20% 8% 92 +1.2 .255/.321/.377.122.291122916%8%94+1.3