Sam PetersenOF Harrisburg Senators
Age 23 R/R 5'11" / 200 lbs AA HR -9% Svc 0.0 · Ctrl thru 2034 peak 1.5 · 2030
wRC+†98
AVG/OBP/SLG.227 / .304 / .373
PA251
HR7
SB10
K%27
BB%8
MLB%2%
BAT: -0.5 runs (wOBA-derived runs vs avg)-1BATRUN: +1.2 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.1 runs (Defensive runs vs avg)-0FLDPOS: -1.5 runs (Positional adjustment)-2POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +0.60+0.6WAR
Scouting · nowfuture
HIT
5050
PWR
5252
SPD
5757
FLD
5050
EYE
5257
trajectory · 10 yrs
1.5peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M+1.4$12M+$11M
2030Arb-2$0.9M+1.5$14M+$13M
2031Arb-3$0.9M+1.4$13M+$12M
2032Ext / FA-deal$3M+1.2$11M+$9M
2033Ext / FA-deal$3M+1.0$10M+$6M
2034Ext / FA-deal$4M+0.8$4M+$0.1M
Totals $13M $64M +$52M

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
202421 AFredericksburg Nationals 2522 8310 181 50 .364.417.5911.008 .227.533 324 .344 121 +1 +1 +0 -0 +1 0.2
202522 A+3 teams 283248 63728 207411 242 .254.337.395.732 .141.325 267 .320 103 +1 +4 +0 -2 +8 1.2
▸ 2026 Season (actual · ROS · total)
202623 AAHarrisburg Senators 7765 14304 10321 51 .215.329.446.775 .231.333 4213 .322 105 +0 +1 +0 -0 +2 0.3
ROS23 MLBWSH 174154 34615 16512 51 .221.302.370.672 .149.296 299 .310 95 -1 +1 -0 -1 +5 0.4
TOT23 MLBWSH 251219 48919 26833 102 .219.310.393.703 .174.302 3310 .314 98 -1 +1 -0 -2 +7 0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 11%WSH 322282 6512210 33724 92 .230.320.394.713 .163.273 2210 .321 104 +1 +1 -0 -2 +9 1.0
202825 MLB 26%WSH 378331 7714212 39845 102 .233.323.396.718 .163.275 2210 .325 107 +3 +1 -0 -2 +11 1.3
202926 MLB 44%WSH 414362 8616214 43926 102 .238.328.409.737 .171.277 2210 .327 108 +4 +1 -0 -2 +12 1.4
203027 MLB 59%WSH 428374 8816214 45966 102 .235.327.401.728 .166.277 2211 .327 108 +4 +1 -0 -3 +12 1.5
203128 MLB 69%WSH 433378 8816214 46986 101 .233.326.397.722 .164.277 2311 .326 107 +4 +2 -1 -3 +12 1.4
203229 MLB 77%WSH 429375 8716214 45986 91 .232.324.397.721 .165.276 2310 .323 106 +3 +1 -2 -3 +12 1.2
203330 MLB 85%WSH 423369 8516213 45986 91 .230.324.390.714 .160.274 2311 .320 103 +2 +1 -2 -3 +12 1.0
203431 MLB 91%WSH 410359 8215213 43975 80 .228.319.390.709 .162.273 2410 .317 100 +0 +2 -3 -2 +12 0.8
203532 MLBWSH 393343 7714212 42955 70 .224.318.382.700 .157.271 2411 .312 97 -1 +1 -4 -2 +11 0.5
203633 MLBWSH 364318 7013210 38905 70 .220.313.368.681 .148.270 2510 .306 93 -3 +1 -4 -2 +10 0.2
203734 MLBWSH 320280 601119 33824 60 .214.306.357.663 .143.268 2610 .300 88 -5 +1 -5 -2 +9 -0.1
203835 MLBWSH 268235 49917 28723 50 .209.301.345.645 .136.265 2710 .292 82 -6 +1 -6 -2 +8 -0.4
▸ Career Totals (MLE all levels + projections)
Career 50644430 101918426155 517120775 13414 .230.321.388.709 .158.279 2410 .317 101 +6 +21 -29 -30 +143 11.4
/ 162G 650569 13124320 6615510 172 .230.321.388.710 .158.279 2410 .317 101 +1 +3 -4 -4 +18 1.5

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
202421 AFredericksburg Nationals 2522 8310 161 50 .364.417.5911.008 .227.471 244 .421 180 +2 +1 +1 0.4
202522 A+Wilmington Blue Rocks 172145 43626 20315 180 .297.400.490.890 .193.339 1812 .391 158 +11 +4 +5 2.0
202522 ROKFCL Nationals 4231 12101 694 41 .387.537.5161.053 .129.500 2114 .465 214 +5 +0 +1 0.7
202522 INTLScottsdale Scorpions 6959 18503 7212 21 .305.397.542.939 .237.417 3010 .407 169 +5 +0 +2 0.8

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
Sam Petersen (OGILVIE) 23 50 52 57 57 .227/.304/.373 .146.292 76 27% 8% 92 +0.5
Joe Benson
2011 · AA
23 45→50 52→60 51→50 41 .226/.298/.400 .174.315 1816 33% 7% 96 +1.5 .220/.286/.381 .161.306 1714 32% 7% 86 +0.8 .202/.268/.342.140.286131432%7%66-0.4
Harrison Bader
2016 · A
22 48→55 48→55 51→55 41 .240/.291/.385 .145.301 1616 26% 5% 89 +0.9 .231/.286/.375 .144.313 1714 31% 5% 84 +0.6 .235/.328/.418.183.312211829%9%108+1.3
Daulton Varsho
2019 · A
23 47→49 47→60 55→50 42 .234/.291/.364 .130.302 1518 27% 6% 83 +0.6 .241/.303/.414 .173.282 2017 22% 7% 102 +1.8 .235/.301/.435.201.269261523%8%102+1.6
Chris Pettit
2008 · A
23 52→55 48→50 52→50 46 .257/.323/.412 .155.313 1414 22% 7% 109 +2.4 .244/.303/.376 .132.297 1215 21% 6% 91 +1.1 .204/.267/.320.116.275101628%6%59-0.8
Cole Gillespie
2007 · A
23 49→57 46→50 52→50 51 .238/.315/.366 .127.293 1315 23% 9% 94 +1.3 .230/.310/.366 .136.297 1213 25% 9% 92 +1.2 .225/.307/.371.146.290131425%9%89+0.9
Phillip Ervin
2014 · A
22 47→52 48→50 54→55 47 .237/.301/.377 .140.295 1514 25% 8% 91 +1.1 .208/.275/.326 .118.264 1020 24% 7% 66 -0.6 .238/.302/.379.141.300142124%7%88+0.7
Sean Rodríguez
2008 · AA
23 44→49 50→60 47→50 44 .224/.296/.380 .156.288 1812 28% 7% 90 +1.0 .234/.304/.421 .187.295 2211 28% 7% 104 +2.0 .238/.311/.439.201.293251227%7%107+1.7
Jordan Westburg
2022 · AA
23 50→53 47→60 51→50 43 .234/.311/.373 .140.342 1312 33% 8% 95 +1.4 .239/.302/.413 .174.311 1910 28% 7% 101 +1.8 .260/.312/.459.199.30924724%6%114+2.1
DJ Stewart
2018 · AA
24 46→48 48→60 52→50 48 .232/.304/.375 .143.287 1616 24% 8% 92 +1.2 .226/.301/.386 .160.275 1912 24% 8% 94 +1.3 .217/.322/.406.189.25924426%12%104+1.0
Jordan Parraz
2008 · A
23 47→56 46→50 52→50 43 .236/.290/.368 .132.286 1418 23% 5% 84 +0.6 .251/.317/.374 .123.311 1013 21% 7% 97 +1.5 .260/.324/.392.132.31811620%6%99+1.3
Aaron Cunningham
2008 · AA
22 50→57 47→55 50 43 .248/.303/.392 .144.302 1415 23% 6% 95 +1.4 .252/.308/.399 .147.325 1413 26% 6% 98 +1.6 .249/.307/.391.142.326131026%6%93+1.0
Dustin Harris
2022 · A
23 51→53 51→55 54→60 46 .258/.313/.418 .160.302 1916 22% 6% 106 +2.2 .229/.297/.383 .154.287 1824 26% 8% 91 +1.1 .212/.288/.343.131.275143027%8%75-0.0
Nick Senzel
2018 · AA
23 52→56 46→50 49→50 45 .252/.308/.396 .144.327 1213 26% 7% 98 +1.6 .248/.303/.399 .151.320 1416 26% 7% 97 +1.5 .250/.307/.393.144.308141723%7%94+0.6
Nick Loftin
2022 · A
23 47→52 45→50 53→50 48 .231/.295/.361 .130.274 1211 20% 7% 84 +0.6 .233/.296/.363 .130.272 1515 20% 7% 85 +0.7 .238/.318/.362.124.267131116%9%91+0.8
Brian Goodwin
2014 · AA
23 46→52 45→60 50 48 .226/.299/.357 .132.297 1215 27% 9% 85 +0.7 .214/.278/.326 .112.294 1013 29% 8% 67 -0.5 .243/.309/.437.195.311231128%8%105+1.3
Connor Norby
2023 · AAA
23 45→49 53→55 49→50 44 .234/.298/.405 .171.295 2112 28% 7% 97 +1.5 .242/.300/.407 .165.317 1911 29% 7% 98 +1.6 .245/.303/.409.164.323191129%7%97+1.4
Edward Olivares
2019 · A
23 45→53 47→55 52→55 38 .226/.265/.365 .139.280 1413 25% 4% 72 -0.2 .225/.272/.356 .131.277 1518 24% 5% 73 -0.1 .259/.316/.431.172.293201619%6%108+1.4
Brian Joynt
2009 · A
24 46 49→60 49→45 46 .230/.295/.382 .152.301 158 28% 8% 89 +1.0 .214/.261/.348 .134.302 157 33% 5% 66 -0.6 .188/.225/.310.122.27016636%4%40-1.5
Paul DeJong
2016 · A
22 50 47→65 52→45 45 .246/.303/.385 .139.308 1313 24% 7% 93 +1.3 .239/.289/.419 .180.310 225 30% 5% 97 +1.5 .251/.316/.479.228.29331426%7%122+3.2
Dominic Canzone
2022 · AA
24 46→53 49→60 54→50 42 .231/.289/.377 .145.306 1618 29% 7% 85 +0.7 .244/.298/.420 .176.291 2213 24% 7% 101 +1.8 .252/.309/.432.181.29124522%7%106+1.5