Jacob Reimer3B Binghamton Rumble Ponies
Age 22 R/R 6'0" / 205 lbs AA H +5%HR +3% Svc 0.0 · Ctrl thru 2033 peak 2.4 · 2030
wRC+†69
AVG/OBP/SLG.223 / .306 / .371
PA320
HR8
SB8
K%27
BB%8
MLB%6%
BAT: -11.3 runs (wOBA-derived runs vs avg)-11BATRUN: +1.1 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.9 runs (Defensive runs vs avg)-1FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -0.10-0.1WAR
Scouting · nowfuture
HIT
4051
PWR
4755
SPD
3537
FLD
3545
EYE
4656
trajectory · 10 yrs
2.6peak
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+1.8$15M+$14M
2029Arb-1$0.8M+2.2$19M+$18M
2030Arb-2$0.9M+2.4$22M+$21M
2031Arb-3$5M+2.4$22M+$17M
2032Ext / FA-deal$7M+2.2$21M+$14M
2033Ext / FA-deal$10M+2.0$20M+$10M
Totals $25M $119M +$94M

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 ROKFCL Mets 2925 5011 450 00 .200.310.400.710 .200.211 1714 .279 72 -1 +0 +0 +0 +1 -0.0
202319 A2 teams 410346 691104 4412116 32 .199.318.266.584 .066.289 3011 .274 68 -15 -0 +0 +1 +12 -0.2
202420 INTL3 teams 154136 28800 14302 13 .206.289.265.554 .059.259 199 .255 53 -8 -1 +0 +1 +4 -0.4
202521 A+2 teams 522466 11027415 3614315 153 .236.311.408.719 .172.304 277 .310 95 -3 +2 +0 +2 +15 1.6
▸ 2026 Season (actual · ROS · total)
202622 AABinghamton Rumble Ponies 6559 8401 5311 30 .136.215.254.470 .119.259 488 .200 11 -7 +1 +0 +0 +2 -0.4
ROS22 MLBNYM 255226 481216 21766 51 .212.296.354.650 .142.287 308 .294 83 -5 +1 -1 +1 +7 0.3
TOT22 MLBNYM 320285 561617 261077 81 .196.280.333.613 .137.285 338 .275 69 -11 +1 -1 +1 +9 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 24%NYM 505445 9923214 4412211 92 .222.308.378.686 .155.273 249 .309 95 -3 +1 -2 +2 +14 1.3
202824 MLB 42%NYM 541476 11025317 4912911 92 .231.317.403.721 .172.275 249 .318 102 +1 +1 -2 +2 +15 1.8
202925 MLB 57%NYM 562494 11626319 5213211 91 .235.321.415.736 .180.277 239 .324 106 +4 +1 -2 +2 +16 2.2
203026 MLB 75%NYM 572503 11826320 5313411 91 .235.321.417.738 .183.279 239 .328 109 +6 +1 -2 +2 +16 2.4
203127 MLB 90%NYM 574504 11826320 5413511 81 .234.322.417.738 .183.279 249 .328 109 +6 +1 -2 +2 +16 2.4
203228 MLBNYM 571500 11726319 5513611 71 .234.323.412.735 .178.278 2410 .327 108 +5 +1 -3 +2 +16 2.2
203329 MLBNYM 562492 11425319 5413511 60 .232.321.411.732 .179.278 2410 .325 107 +4 +1 -3 +2 +16 2.0
203430 MLBNYM 552483 11125218 5313511 50 .230.320.402.722 .172.276 2410 .321 104 +3 +1 -4 +2 +16 1.7
203531 MLBNYM 538471 10624217 5213410 30 .225.315.393.708 .168.275 2510 .318 101 +1 +1 -5 +2 +15 1.4
203632 MLBNYM 520455 10122216 5013210 20 .222.313.385.697 .163.273 2510 .313 98 -1 +0 -5 +2 +15 1.0
203733 MLBNYM 490431 9521215 471289 10 .220.310.383.693 .162.271 2610 .307 93 -4 +0 -6 +2 +14 0.6
203834 MLBNYM 444391 8418213 421198 10 .215.304.371.675 .156.269 279 .301 88 -6 +0 -7 +2 +13 0.2
203935 MLBNYM 389343 7115210 361087 10 .207.295.350.645 .143.267 289 .293 82 -8 +0 -7 +1 +11 -0.2
204036 MLBNYM 329290 571218 30956 10 .197.285.328.613 .131.264 299 .283 75 -9 +0 -7 +1 +9 -0.6
▸ Career Totals (MLE all levels + projections)
Career 85197477 167737239251 7902149177 9517 .224.313.385.698 .161.278 259 .312 97 -33 +12 -58 +30 +241 19.6
/ 162G 650570 12728319 6016414 71 .223.312.382.695 .160.276 259 .312 97 -3 +1 -4 +2 +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
202218 ROKFCL Mets 2923 6011 630 00 .261.414.478.892 .217.263 1021 .397 162 +2 +0 +1 0.3
202319 A+Brooklyn Cyclones 9979 16301 17222 01 .203.357.278.636 .076.263 2217 .304 91 -1 -0 +3 0.1
202319 ASt. Lucie Mets 311250 701006 446114 31 .280.416.392.808 .112.344 2014 .370 142 +15 +0 +9 2.4
202420 A+Brooklyn Cyclones 5546 9300 871 01 .196.327.261.588 .065.231 1315 .284 75 -2 -0 +2 -0.0
202420 ASt. Lucie Mets 2924 8200 451 00 .333.448.417.865 .083.421 1714 .397 162 +2 +0 +1 0.3
202420 INTLScottsdale Scorpions 7053 11012 15130 12 .208.382.358.741 .151.225 1921 .335 115 +1 -1 +2 0.3
202521 AABinghamton Rumble Ponies 254215 601419 26609 41 .279.380.479.859 .200.340 2410 .377 146 +13 +0 +7 2.1
202521 A+Brooklyn Cyclones 268229 651848 32526 112 .284.386.502.888 .218.335 1912 .390 157 +17 +1 +8 2.7

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
Jacob Reimer (OGILVIE) 22 40→51 47→55 35→37 56 .223/.306/.371 .148.291 85 27% 8% 93 +0.6
Logan O'Hoppe
2022 · AAA
22 43→48 49→60 46→45 43 .224/.274/.364 .140.267 177 24% 6% 76 +0.1 .237/.307/.418 .181.277 256 24% 8% 105 +2.1 .241/.314/.433.192.28428425%8%109+1.6
Iván Herrera
2022 · AA
22 41→51 48→50 41→50 47 .213/.289/.342 .129.274 174 28% 8% 77 +0.1 .236/.321/.368 .132.306 149 26% 10% 97 +1.5 .278/.371/.439.161.339191322%11%132+2.8
Ian Stewart
2007 · AA
22 46→52 48→60 40→45 43 .227/.288/.382 .155.297 134 28% 7% 86 +0.8 .239/.305/.410 .171.310 188 28% 8% 102 +1.8 .239/.315/.432.193.30423928%9%108+2.0
Brandon Drury
2015 · AA
22 46→55 47→60 41→40 42 .233/.274/.375 .142.276 143 22% 5% 79 +0.3 .257/.299/.393 .136.306 133 20% 5% 93 +1.3 .254/.305/.458.204.30125124%6%112+2.0
Gary Sánchez
2015 · AA
22 46→51 47→65 45 42 .233/.283/.367 .133.292 165 26% 6% 80 +0.4 .247/.300/.420 .173.293 226 23% 6% 102 +1.9 .232/.315/.480.248.25437126%9%119+2.3
Sean Rodríguez
2007 · AA
22 46→49 52→60 48→50 47 .234/.306/.402 .168.294 1912 27% 8% 99 +1.7 .228/.299/.402 .174.291 2111 28% 7% 97 +1.5 .238/.311/.439.201.293251227%7%107+1.7
Derek Norris
2011 · A
22 41→51 51→55 44→50 51 .210/.308/.369 .158.282 196 31% 11% 92 +1.2 .208/.299/.376 .168.272 2010 30% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Vinnie Catricala
2011 · A
22 48→58 47→55 46→45 43 .241/.299/.382 .141.298 156 24% 6% 92 +1.2 .241/.294/.385 .144.294 158 23% 6% 90 +1.0 .225/.277/.355.130.27614723%5%72-0.2
Zach Neto
2023 · AA
22 49→48 47→60 49→55 41 .240/.300/.376 .136.307 1412 26% 6% 90 +1.0 .246/.317/.423 .177.300 2119 25% 6% 111 +2.5 .248/.320/.446.198.298252425%6%113+2.3
Alec Bohm
2020 · AA
23 48→57 50 46→45 48 .243/.298/.396 .154.274 176 19% 7% 95 +1.4 .261/.316/.388 .127.318 136 21% 7% 99 +1.7 .272/.325/.418.146.30315415%6%107+2.1
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
Travis Denker
2008 · A
22 46→52 48→50 43→45 51 .231/.301/.370 .139.267 165 20% 9% 89 +1.0 .224/.290/.343 .119.278 105 22% 8% 76 +0.1 .233/.308/.392.159.26118018%8%97+0.8
Travis d'Arnaud
2012 · AA
23 46→54 49→60 45 40 .236/.280/.387 .152.291 165 25% 5% 85 +0.7 .252/.304/.418 .166.308 184 24% 6% 102 +1.9 .260/.320/.458.198.29127120%7%116+1.5
Carter Kieboom
2020 · MLB
22 47→54 48→50 46→45 46 .236/.304/.376 .140.304 166 27% 8% 92 +1.2 .224/.313/.341 .117.291 135 26% 10% 87 +0.8 .207/.305/.315.108.26514226%10%72-0.1
Ryan Jeffers
2020 · AA
23 46→54 44→60 44→40 44 .228/.293/.341 .113.298 122 27% 7% 79 +0.3 .219/.288/.371 .152.290 193 30% 8% 84 +0.6 .248/.335/.427.180.29122322%9%114+1.9
Josh Fields
2006 · AA
23 43→53 47→55 42→50 40 .215/.279/.350 .135.301 157 33% 6% 75 -0.0 .234/.297/.402 .168.321 2014 32% 8% 96 +1.5 .234/.301/.412.178.319221532%8%98+1.4
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
Eddys Leonard
2023 · A
22 45→46 49→50 45 42 .226/.293/.375 .150.293 165 28% 6% 88 +0.9 .220/.279/.369 .149.281 177 27% 6% 79 +0.3 .212/.267/.368.155.26219927%5%72-0.2
Andy Marte
2006 · MLB
22 43→50 52→55 38→40 51 .226/.295/.393 .167.260 194 22% 9% 92 +1.2 .222/.271/.377 .155.261 183 22% 6% 78 +0.2 .236/.285/.394.158.26419219%6%85+0.4
Josmil Pinto
2011 · A
22 42→52 48→55 42→40 43 .217/.264/.358 .141.259 153 23% 5% 70 -0.3 .231/.281/.371 .140.283 152 23% 6% 80 +0.4 .254/.321/.415.161.30418022%8%105+1.7