Bryce JohnsonCF San Diego Padres
Age 30 S/R 5'11" / 190 lbs MLB HR +13%BB +8% Svc 1.564 · Ctrl thru 2030 peak 0.8 · 2026
wRC+†vL 6987vR 114
AVG/OBP/SLG.235 / .313 / .346
PA334
HR5
SB18
K%27
BB%8
MLB%100%
BAT: -4.7 runs (wOBA-derived runs vs avg)-5BATRUN: +3.0 runs (SB/CS + UBR baserunning)+3RUNFLD: +0.6 runs (Defensive runs vs avg)+1FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +9.5 runs (Replacement-level credit)+9REPTotal WAR: +0.80+0.8WAR
Scouting · nowfuture
HIT
6060
PWR
3535
SPD
6060
EYE
5150
trajectory · 10 yrs
0.7peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2022
Service   1.564 yrs.days
Team Control Through   2030
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Pre-Arb$0.8M+0.8$3M+$2M
2027Pre-Arb$0.8M+0.5$2M+$1M
2028Arb-1$0.6M+0.3$1M+$0.7M
2029Arb-2$0.6M
2030Arb-3$0.6M
Totals $0.9M $5M +$4M

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
201822 A+San Jose Giants 511455 991561 401657 314 .218.291.284.574 .066.337 328 .251 50 -29 +5 +0 +2 +14 -0.8
201923 A+2 teams 540488 981955 451694 2615 .201.274.291.565 .090.293 318 .252 51 -30 -1 +0 +2 +15 -1.4
202125 AAASacramento River Cats 407366 851357 351344 304 .232.306.352.659 .120.345 339 .288 79 -10 +4 +0 +1 +12 0.8
202226 AAA2 teams 371334 77844 251247 315 .231.298.314.612 .084.349 337 .269 64 -15 +4 +0 +1 +11 0.1
202327 AAA2 teams 346309 711237 29984 214 .230.304.356.660 .126.312 288 .288 78 -8 +3 +0 +1 +10 0.6
202428 AAA2 teams 392336 781443 379911 214 .232.328.324.653 .092.316 259 .290 80 -9 +3 +1 -4 +11 0.2
202529 AAA2 teams 284251 651413 20845 153 .259.326.359.685 .100.378 307 .293 83 -6 +2 +0 -3 +8 0.2
▸ 2026 Season (actual · ROS · total)
202630 MLBSan Diego Padres 1816 4200 170 31 .250.294.375.669 .125.444 396 .279 72 -1 +0 -0 -0 +1 -0.0
ROS30 MLBSD 316281 661225 26866 153 .235.313.345.658 .110.319 278 .301 88 -4 +2 +1 +1 +9 0.9
TOT30 MLBSD 334297 701425 27936 184 .236.312.347.659 .111.323 288 .300 87 -5 +2 +1 +1 +9 0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202731 MLBSD 319284 671225 26886 133 .236.313.345.658 .109.319 288 .297 86 -5 +1 -2 +1 +9 0.4
202832 MLBSD 300266 611124 25846 112 .229.310.331.641 .102.318 288 .293 82 -6 +1 -3 +1 +8 0.2
202933 MLBSD 270241 551023 22785 92 .228.306.324.630 .095.317 298 .287 78 -7 +1 -4 +1 +8 -0.1
203034 MLBSD 227202 45813 19674 71 .223.302.317.619 .094.316 308 .281 73 -7 +1 -4 +1 +6 -0.3
▸ Career Totals (MLE all levels + projections)
Career 42833813 8671483750 349127669 23050 .227.304.325.629 .098.326 308 .279 72 -136 +26 -10 +6 +121 0.7
/ 162G 650579 1322268 5319410 358 .228.304.328.632 .100.326 308 .279 72 -21 +4 -2 +1 +18 0.1

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
201822 A+San Jose Giants 511441 1101861 541167 314 .249.341.324.665 .075.334 2311 .303 90 -6 +5 +14 1.3
201923 AARichmond Flying Squirrels 236210 511413 24551 87 .243.323.362.685 .119.314 2310 .310 95 -1 -1 +7 0.4
201923 A+San Jose Giants 304260 69962 39713 188 .265.368.369.737 .104.354 2313 .335 115 +5 +0 +9 1.4
202125 AAASacramento River Cats 407353 1011559 481084 304 .286.378.433.811 .147.388 2712 .363 136 +16 +4 +12 3.3
202226 MLBSan Francisco Giants 1918 2000 170 00 .111.158.111.269 .000.182 375 .132 -41 -3 +0 +0 +1 +1 -0.1
202226 AAASacramento River Cats 352307 891145 33907 315 .290.372.401.772 .111.391 269 .345 123 +9 +4 +10 2.4
202327 MLBSan Francisco Giants 4843 7101 4150 30 .163.234.256.490 .093.214 318 .223 28 -4 +1 +0 +1 +1 -0.0
202327 AAASacramento River Cats 298257 721348 34704 184 .280.373.455.828 .175.358 2311 .366 138 +13 +2 +8 2.4
202428 MLBSan Diego Padres 7363 13200 7120 11 .206.286.238.524 .032.255 1610 .238 41 -5 -0 +1 -4 +2 -0.6
202428 AAAEl Paso Chihuahuas 319260 751554 436511 203 .288.411.431.842 .142.366 2013 .376 146 +17 +3 +9 2.9
202529 MLBSan Diego Padres 8476 26401 3192 41 .342.383.434.817 .092.446 234 .355 130 +3 +0 +0 -3 +2 0.3
202529 AAAEl Paso Chihuahuas 200167 451213 25493 112 .269.374.407.782 .138.365 2412 .346 123 +5 +1 +6 1.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career 224200 48702 15532 82 .240.300.305.605 .065.315 247 .270 64 -9 +1 +2 -5 +6 -0.5

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
Bryce Johnson (OGILVIE) 30 60 35 60 50 .235/.313/.346 .111.319 516 27% 8% 88 +0.5
Greg Allen
2023 · MLB
30 51→56 44→45 60→65 45 .243/.333/.365 .121.319 1134 25% 7% 102 +1.8 .225/.314/.348 .123.296 1036 26% 7% 90 +1.0 .214/.305/.335.121.28694026%7%80+0.1
Shawn O'Malley
2017 · MLB
29 53→58 40 56→60 47 .253/.313/.354 .101.313 621 20% 7% 89 +0.9 .232/.288/.332 .100.297 813 23% 7% 72 -0.2 .219/.270/.301.082.2816623%6%54-0.4
Emilio Bonifácio
2015 · MLB
30 51→61 38→40 60→65 47 .243/.296/.329 .086.304 536 21% 7% 75 -0.0 .249/.293/.326 .077.311 429 20% 6% 72 -0.2 .246/.288/.332.086.30653320%5%68-0.2
Trevor Crowe
2014 · MLB
30 51→55 39→45 53→55 48 .240/.296/.327 .087.293 624 20% 7% 75 -0.0 .230/.274/.328 .098.275 818 19% 6% 66 -0.6 .216/.247/.308.092.25081517%4%46-0.9
Roman Quinn
2023 · MLB
30 49→56 46→45 55→65 45 .228/.311/.365 .137.337 1325 33% 9% 92 +1.2 .205/.298/.324 .119.352 1125 40% 10% 77 +0.1 .129/.246/.199.070.27044647%11%23-1.1
Travis Jankowski
2021 · MLB
30 52→61 38→40 53→65 50 .247/.315/.324 .078.315 626 22% 9% 82 +0.5 .237/.328/.316 .079.301 526 20% 12% 86 +0.8 .242/.344/.306.063.30423518%13%84+0.3
Antoan Richardson
2014 · AAA
30 56→60 36→40 60 54 .257/.345/.329 .073.338 228 22% 10% 96 +1.5 .239/.316/.321 .082.319 433 24% 8% 82 +0.5 .254/.338/.331.077.32844922%7%92+0.6
Damian Jackson
2004 · MLB
30 52→54 40→45 55 49 .246/.308/.345 .099.302 629 20% 8% 85 +0.7 .241/.313/.361 .120.283 1122 18% 9% 92 +1.2 .241/.328/.365.124.282132019%10%96+0.6
Elliot Johnson
2014 · MLB
30 45→54 42→50 58→60 45 .222/.278/.326 .104.286 1031 25% 7% 67 -0.5 .208/.267/.316 .108.276 918 26% 7% 60 -1.0 .189/.251/.297.108.25571227%7%47-0.9
Eugenio Velez
2013 · MLB
31 50→60 43→50 55→65 43 .243/.289/.358 .115.302 929 23% 6% 79 +0.3 .259/.308/.373 .114.322 930 21% 6% 92 +1.2 .274/.321/.377.103.33683420%6%94+0.9
Jon Berti
2020 · MLB
30 52→59 45 60 47 .254/.322/.384 .130.317 1232 23% 8% 101 +1.8 .245/.333/.363 .118.314 1130 23% 10% 101 +1.8 .259/.328/.356.097.32383921%9%90+0.6
Ezequiel Carrera
2017 · MLB
30 52→62 42→45 53→60 48 .251/.310/.351 .100.305 924 20% 7% 87 +0.8 .240/.303/.349 .109.304 1218 24% 8% 84 +0.6 .244/.306/.344.100.310112424%8%81+0.2
Alexi Casilla
2014 · MLB
30 49→59 39→40 60 50 .233/.288/.330 .097.268 529 15% 7% 72 -0.2 .238/.281/.321 .083.281 619 17% 5% 66 -0.6 .243/.279/.309.067.28941417%5%57-0.6
Billy Hamilton
2021 · MLB
30 47→57 38→40 59→70 49 .223/.289/.303 .080.290 534 24% 8% 66 -0.6 .197/.252/.293 .096.291 834 33% 7% 47 -1.9 .159/.211/.231.072.25544737%6%12-1.0
Elian Herrera
2014 · MLB
29 50→55 39→40 53→60 46 .238/.298/.325 .087.310 619 24% 7% 75 -0.0 .244/.289/.340 .096.313 713 23% 6% 75 -0.0 .247/.290/.343.096.31871023%6%70-0.2
Delino DeShields
2022 · MLB
29 48→53 40→45 57→65 52 .227/.308/.324 .097.300 826 25% 10% 80 +0.4 .209/.302/.281 .072.304 529 29% 11% 67 -0.5 .199/.301/.240.040.32013533%12%54-0.7
Roger Cedeno
2004 · MLB
29 56→60 41→45 57→65 50 .267/.320/.372 .104.308 828 16% 7% 96 +1.5 .245/.303/.352 .107.288 913 17% 8% 84 +0.6 .260/.323/.368.108.31381318%9%89+0.4
Rich Thompson
2009 · AAA
30 53→61 40→45 59→65 46 .249/.305/.350 .101.304 524 20% 6% 85 +0.7 .250/.298/.349 .099.305 530 19% 5% 81 +0.4 .266/.316/.370.104.32444418%5%90+0.8
Chris Dickerson
2012 · MLB
30 52→55 41→50 58→60 48 .244/.315/.345 .101.338 728 28% 9% 88 +0.9 .243/.313/.378 .135.337 1224 29% 9% 95 +1.4 .246/.321/.390.144.339132229%9%100+1.0
Mike McCoy
2011 · MLB
30 54→58 40 58→60 54 .254/.322/.346 .093.301 629 17% 9% 91 +1.1 .234/.315/.314 .080.283 630 18% 10% 80 +0.4 .225/.312/.292.066.27453318%11%69-0.3