Martin TamaraC DSL Tigers 1
Age 22 R/R 6'0" / 185 lbs ROK HR +5%H +3% Svc 0.0 · Ctrl thru 2037 peak 1.6 · 2031
wRC+†72
AVG/OBP/SLG.210 / .285 / .325
PA104
HR2
K%28
BB%8
MLB%0%
BAT: -3.3 runs (wOBA-derived runs vs avg)-3BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.9 runs (Positional adjustment)+2POSREP: +2.9 runs (Replacement-level credit)+3REPTotal WAR: +0.20+0.2WAR
Scouting · nowfuture
HIT
3338
PWR
3136
SPD
4853
EYE
4752
trajectory · 10 yrs
1.6peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+1.5$14M+$13M
2033Ext / FA-deal$1.0M+1.4$14M+$13M
2034Ext / FA-deal$1.0M+1.2$12M+$11M
2035Ext / FA-deal$2M+0.9$5M+$3M
2036Ext / FA-deal$2M+0.6$3M+$1M
2037Ext / FA-deal$1.0M+0.3$2M+$0.7M
Totals $8M $50M +$42M

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
202319 ROKDSL Tigers 2 9487 9211 5462 21 .103.170.184.354 .080.200 495 .161 -19 -13 +0 +0 +2 +3 -0.8
202420 ROKDSL Tigers 1 165145 20321 95610 50 .138.238.207.445 .069.213 345 .199 11 -17 +1 +0 +3 +5 -0.8
202521 ROKDSL Tigers 1 124104 17400 12327 43 .163.293.202.495 .038.233 2610 .225 30 -10 -0 +0 +2 +4 -0.5
▸ 2026 Season
202622 MLBDET 10493 21412 8302 20 .226.301.355.656 .129.285 298 .279 72 -3 +0 +0 +2 +3 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%DET 175156 34614 15482 31 .218.295.346.641 .128.286 279 .289 80 -4 +0 +0 +3 +5 0.4
202824 MLB 26%DET 288257 581127 25774 61 .226.304.366.670 .140.287 279 .296 85 -5 +1 +0 +5 +8 0.9
202925 MLB 43%DET 359319 721329 32945 72 .226.306.364.670 .138.288 269 .301 88 -5 +1 +0 +6 +10 1.3
203026 MLB 58%DET 405359 8115210 371066 82 .226.308.362.671 .136.289 269 .303 90 -5 +1 +0 +7 +11 1.5
203127 MLB 76%DET 427379 8516211 391126 92 .224.307.364.671 .140.288 269 .303 90 -5 +1 +0 +8 +12 1.6
203228 MLB 84%DET 438388 8716211 411166 92 .224.308.361.669 .137.288 269 .302 89 -5 +1 -1 +8 +12 1.5
203329 MLB 90%DET 437387 8616211 411176 81 .222.306.359.666 .137.287 279 .300 88 -6 +1 -1 +8 +12 1.4
203430 MLBDET 433383 8416210 411176 81 .219.305.350.655 .131.286 279 .297 85 -7 +1 -2 +8 +12 1.2
203531 MLBDET 409363 791529 381135 70 .218.300.344.645 .127.284 289 .293 82 -8 +1 -3 +7 +12 0.9
203632 MLBDET 382338 721328 361075 60 .213.298.334.632 .121.283 289 .288 79 -9 +1 -4 +7 +11 0.6
203733 MLBDET 344305 641227 32994 50 .210.293.331.624 .121.281 299 .283 75 -10 +1 -4 +6 +10 0.3
203834 MLBDET 294261 541016 27874 50 .207.291.322.613 .115.279 309 .276 70 -10 +1 -5 +5 +8 -0.0
203935 MLBDET 240213 42814 22733 40 .197.282.300.582 .103.277 309 .269 64 -10 +1 -6 +4 +7 -0.4
204036 MLBDET 185164 32613 17592 30 .195.279.299.577 .104.274 329 .260 57 -9 +1 -6 +3 +5 -0.6
▸ Career Totals (MLE all levels + projections)
Career 53034701 99718628114 477148985 10116 .212.296.336.633 .124.283 289 .285 77 -140 +14 -31 +95 +150 8.9
/ 162G 650576 12223314 5818310 122 .212.295.335.630 .123.283 289 .285 77 -17 +2 -4 +12 +18 1.1

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
202319 ROKDSL Tigers 2 9484 16512 8312 21 .190.277.345.622 .155.275 339 .282 74 -3 +0 +3 -0.0
202420 ROKDSL Tigers 1 165136 26432 163910 50 .191.317.309.626 .118.250 2410 .291 81 -4 +1 +5 0.2
202521 ROKDSL Tigers 1 12496 22500 20227 43 .229.398.281.680 .052.293 1816 .330 111 +1 -0 +4 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
Martin Tamara (OGILVIE) 22 33→38 31→36 48→53 52 .210/.285/.325 .115.285 22 28% 8% 72 -0.0
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
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
Leo Jiménez
2023 · A
22 47→49 40→45 48→45 51 .222/.330/.318 .096.290 79 24% 9% 90 +1.0 .229/.317/.341 .112.289 107 23% 7% 89 +1.0 .230/.322/.343.112.28911522%7%88+0.5
Juan Mora
2022 · A
22 46 44→45 55 46 .222/.297/.343 .121.288 1115 26% 8% 81 +0.4 .226/.283/.335 .109.306 109 28% 5% 72 -0.2 .220/.277/.325.105.29210827%5%65-0.3
José Caballero
2019 · A
22 48→45 43→45 48→70 45 .232/.292/.346 .114.280 109 21% 6% 79 +0.3 .220/.293/.329 .109.282 925 24% 7% 76 +0.0 .229/.321/.344.115.305106326%9%87+0.6
Jeferson Morales
2021 · A
22 44→46 40→45 48→50 52 .208/.300/.315 .107.258 610 20% 9% 75 -0.0 .202/.283/.334 .132.263 139 27% 8% 73 -0.1 .223/.298/.355.132.27712823%7%81+0.2
Corey Joyce
2021 · A
22 44 40→45 50 40 .212/.268/.307 .095.307 88 32% 6% 58 -1.2 .203/.290/.313 .110.295 1112 32% 9% 70 -0.3 .212/.315/.318.105.30191429%10%80+0.2
Imbewer Alvarez
2008 · A
22 47 40 51→55 46 .225/.293/.318 .094.300 717 26% 8% 72 -0.2 .201/.260/.278 .077.307 512 34% 6% 47 -1.9 .135/.182/.184.049.2234540%2%-12-1.0
Aaron McKeithan
2022 · A
22 41 39→40 49→40 40 .198/.263/.282 .084.277 67 29% 6% 50 -1.7 .218/.296/.304 .086.283 84 24% 7% 70 -0.3 .219/.302/.289.070.2807122%7%69-0.2
Taylor Krick
2011 · A
23 43 39→30 48→40 49 .206/.285/.289 .084.266 77 24% 9% 62 -0.9 .224/.308/.287 .063.307 45 26% 8% 71 -0.3 .233/.323/.283.051.3262226%8%73-0.0
Adrian Abreu
2013 · A
22 45 40 52→55 53 .215/.292/.302 .087.252 818 18% 9% 67 -0.5 .204/.282/.287 .083.261 614 23% 9% 59 -1.1 .141/.245/.214.074.18441424%11%24-0.7
David Martin
2023 · A
22 45 39→30 49→30 42 .213/.285/.304 .091.300 67 29% 6% 66 -0.6 .223/.305/.293 .070.278 54 20% 9% 71 -0.3 .243/.334/.302.059.2915116%10%83+0.3
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
Luis Perez
2013 · A
22 47 41→30 52→50 46 .226/.281/.335 .109.269 810 19% 6% 70 -0.3 .220/.261/.335 .115.296 107 28% 5% 62 -0.9 .217/.244/.347.129.29911231%3%54-0.4
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
Brett Martinez
2006 · A
22 44→41 41→40 54→50 45 .211/.283/.308 .098.289 88 28% 8% 66 -0.6 .203/.263/.271 .068.282 57 28% 7% 46 -2.0 .197/.253/.247.050.2725528%6%34-1.9
Sherman Lacrus
2016 · A
22 47 40→30 45→50 49 .225/.297/.314 .089.263 77 17% 7% 73 -0.1 .204/.258/.288 .084.268 68 25% 6% 49 -1.8 .183/.231/.254.071.2365924%4%26-1.1
Brennan Milone
2023 · A
22 50→45 40→45 50→45 46 .236/.298/.326 .090.311 88 26% 8% 76 +0.0 .223/.299/.358 .135.290 155 27% 9% 85 +0.7 .207/.287/.341.133.26916528%9%74-0.1
Steve Tolleson
2006 · A
22 43→53 44→45 50 51 .212/.294/.332 .120.250 129 20% 9% 77 +0.1 .236/.310/.339 .103.299 812 22% 9% 84 +0.6 .254/.312/.373.119.302101219%7%90+0.8
Paul Vasquez
2008 · A
23 47 43→45 52→30 39 .231/.271/.342 .111.307 109 28% 5% 68 -0.5 .234/.273/.339 .105.293 85 22% 3% 68 -0.5 .235/.269/.339.104.2928222%2%63-0.3