Daniel CabreraOF Erie SeaWolves
Age 27 L/L 6'0" / 200 lbs AA HR +5%H +3% Svc 0.0 · Ctrl thru 2034
wRC+†74
AVG/OBP/SLG.215 / .285 / .336
PA136
HR3
K%24
BB%8
MLB%2%
BAT: -4.0 runs (wOBA-derived runs vs avg)-4BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.8 runs (Positional adjustment)-1POSREP: +3.9 runs (Replacement-level credit)+4REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
-0.1peak
2026

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
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Extbeyond projection horizon · no WAR estimate
Totals $-6M $-16M -$10M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202122 A+2 teams 493462 9118512 241551 84 .197.238.335.574 .139.262 315 .245 45 -30 +0 +0 -3 +14 -2.0
202223 AA2 teams 514474 1001748 331242 70 .211.265.314.580 .103.265 246 .253 52 -28 +1 +0 -3 +15 -1.5
202324 AA2 teams 269235 531111 29542 51 .226.316.294.609 .068.284 2011 .276 69 -9 +1 +0 -2 +8 -0.3
202425 AAErie SeaWolves 2725 5101 160 00 .200.231.360.591 .160.211 224 .230 34 -2 +0 +0 -0 +1 -0.1
▸ 2026 Season
202627 MLBDET 136123 27513 11321 21 .220.289.350.638 .130.269 248 .282 74 -4 +0 +0 -1 +4 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 9%DET 207186 41814 17492 31 .220.293.339.631 .118.271 248 .285 76 -6 +0 -1 -1 +6 -0.1
202829 MLB 19%DET 262236 521016 22632 41 .220.292.347.640 .127.272 248 .286 77 -7 +0 -1 -2 +7 -0.2
202930 MLB 29%DET 300269 581116 25733 41 .216.290.331.620 .115.271 248 .285 76 -8 +0 -2 -2 +8 -0.3
203031 MLB 40%DET 303272 581116 25753 20 .213.287.327.614 .114.271 258 .282 74 -9 +0 -3 -2 +9 -0.5
203132 MLB 49%DET 295266 571116 24743 10 .214.287.331.618 .117.269 258 .277 70 -10 +0 -4 -2 +8 -0.7
203233 MLB 63%DET 272246 511015 22702 00 .207.278.317.595 .110.267 268 .272 66 -10 +0 -4 -2 +8 -0.9
203334 MLB 81%DET 234211 43814 19622 00 .204.276.308.584 .104.266 268 .266 61 -10 +0 -5 -1 +7 -1.0
▸ Career Totals (MLE all levels + projections)
Career 33123005 6361211862 25283723 369 .212.278.326.604 .114.269 258 .269 64 -133 +4 -20 -20 +94 -7.7
/ 162G 650590 12524412 491645 72 .212.278.327.605 .115.270 258 .269 64 -26 +1 -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
202122 AAErie SeaWolves 7169 12204 1181 10 .174.197.377.574 .203.170 251 .250 50 -4 +0 +2 -0.2
202122 A+West Michigan Whitecaps 422380 921969 34950 74 .242.303.395.698 .153.294 238 .306 92 -4 -0 +12 0.8
202223 AAErie SeaWolves 400355 731435 40802 60 .206.290.304.594 .099.249 2010 .272 66 -15 +1 +11 -0.3
202223 A+West Michigan Whitecaps 114104 36613 8160 10 .346.393.510.902 .163.379 147 .392 158 +7 +0 +3 1.1
202324 AAErie SeaWolves 237199 471011 32361 31 .236.342.312.653 .075.279 1514 .301 88 -3 +0 +7 0.4
202324 ALakeland Flying Tigers 3219 5100 1241 20 .263.562.316.878 .053.333 1238 .438 193 +3 +0 +1 0.5
202425 AAErie SeaWolves 2725 5101 150 00 .200.231.360.591 .160.200 194 .251 50 -2 +0 +1 -0.1

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
Daniel Cabrera (OGILVIE) 27 .215/.285/.336 .120.269 32 24% 8% 74 -0.0
Nathan Panther
2008 · AA
27 44→43 45 44→45 48 .220/.289/.345 .125.271 128 23% 8% 77 +0.1 .229/.296/.356 .127.285 127 23% 8% 83 +0.6 .232/.299/.352.120.28611522%9%81+0.2
Brian O'Grady
2019 · AAA
27 40→39 48→60 52→50 45 .204/.276/.351 .147.273 1513 30% 8% 74 -0.1 .217/.278/.403 .186.291 2315 32% 7% 89 +0.9 .201/.267/.390.189.270241734%7%78+0.2
Scott Cousins
2012 · MLB
27 46→49 46→50 53→55 42 .229/.274/.367 .139.288 1316 25% 6% 76 +0.1 .219/.271/.326 .107.294 1017 28% 6% 64 -0.8 .211/.264/.304.093.28682028%5%51-0.8
Jeff Duncan
2006 · MLB
27 44→46 42→45 53→60 46 .216/.282/.320 .104.285 915 26% 8% 67 -0.5 .233/.299/.323 .090.303 821 24% 7% 76 +0.0 .238/.309/.298.060.30862823%7%70-0.1
Carlos Moncrief
2016 · AAA
27 46→52 46→50 50 45 .231/.286/.365 .134.293 1411 26% 7% 81 +0.4 .225/.286/.340 .115.301 1111 27% 7% 75 -0.0 .228/.288/.334.106.31191128%7%70-0.1
Jason Cooper
2008 · AAA
27 42→39 50→55 50→45 42 .214/.273/.375 .161.282 168 30% 7% 79 +0.3 .214/.282/.355 .141.270 128 24% 7% 77 +0.1 .209/.292/.354.145.25013321%8%80+0.2
Carlos Alvarez
2015 · AAA
27 47 43→45 47→45 51 .228/.295/.344 .116.273 109 20% 9% 79 +0.3 .236/.308/.333 .097.289 78 19% 8% 82 +0.5 .238/.311/.313.075.2974619%7%76+0.0
Austin Davidson
2019 · AA
26 47→43 45 48→45 47 .232/.292/.360 .128.280 127 21% 7% 82 +0.5 .217/.280/.327 .110.282 96 25% 7% 69 -0.4 .189/.258/.274.085.2556126%8%43-1.3
Emerson Frostad
2010 · AAA
27 42→47 44→50 44→40 46 .211/.275/.331 .119.271 115 26% 8% 67 -0.5 .216/.269/.312 .096.270 75 22% 7% 59 -1.1 .213/.259/.297.085.2626221%6%51-0.8
Mitch Longo
2021 · AA
26 45 42→45 51→50 41 .218/.268/.325 .106.285 913 26% 6% 62 -0.9 .227/.274/.372 .145.296 1618 28% 5% 78 +0.2 .222/.267/.379.157.284192229%5%73-0.1
Alex Glenn
2017 · AA
26 43→42 48→55 51→50 39 .218/.260/.365 .147.277 159 27% 5% 69 -0.4 .193/.238/.298 .105.290 97 35% 5% 43 -2.2 .130/.173/.206.076.2186442%5%-12-2.2
Peter Maris
2021 · AAA
27 43→51 47→45 50 44 .216/.277/.354 .138.276 149 27% 7% 75 -0.0 .224/.276/.365 .141.310 169 31% 7% 77 +0.1 .218/.267/.377.158.29621533%6%75-0.0
Luis Liberato
2023 · AAA
27 42→51 49→50 52→50 43 .216/.276/.370 .154.295 178 32% 8% 79 +0.3 .219/.281/.353 .134.307 1412 31% 8% 76 +0.1 .217/.282/.332.115.306101331%8%68-0.2
Stephen Scott
2023 · AA
26 42→45 49→55 49→50 51 .215/.294/.367 .152.263 177 25% 10% 85 +0.7 .214/.286/.372 .158.267 1910 26% 8% 84 +0.6 .214/.285/.387.173.262211027%8%84+0.4
Taylor Featherston
2017 · MLB
27 41→45 47→50 49→50 38 .209/.253/.343 .135.265 1411 27% 4% 62 -0.9 .190/.246/.310 .120.287 1311 37% 5% 50 -1.7 .164/.225/.278.114.280141044%5%31-1.9
Dillon Paulson
2023 · AA
26 45→36 46→50 45→30 49 .226/.295/.355 .129.282 146 24% 8% 82 +0.5 .222/.287/.335 .113.289 105 25% 8% 73 -0.1 .219/.282/.320.101.2868025%8%64-0.3
Bligh Madris
2023 · MLB
27 46→47 45→50 43→50 45 .230/.285/.361 .131.290 127 25% 7% 79 +0.3 .210/.279/.361 .151.275 1813 29% 8% 77 +0.1 .194/.270/.354.160.248211530%9%70-0.2
Isaac Ballou
2017 · AAA
27 47→48 41→45 53→50 45 .225/.281/.332 .107.285 813 23% 6% 70 -0.3 .214/.274/.318 .104.304 810 30% 7% 63 -0.8 .164/.232/.259.095.2667639%8%29-0.8
Preston Beck
2017 · AAA
26 44→43 43→45 49→45 46 .216/.275/.333 .117.266 107 23% 7% 68 -0.5 .213/.265/.316 .103.272 95 24% 6% 59 -1.1 .205/.261/.304.099.2669226%6%52-1.1
Ryan Fitzgerald
2022 · AAA
28 43→44 47→55 44→45 42 .218/.275/.362 .144.280 147 27% 6% 76 +0.0 .204/.267/.361 .157.267 178 29% 7% 73 -0.1 .225/.292/.365.140.28614725%7%80+0.2