Travis BlankenhornRF Rocket City Trash Pandas
Age 29 L/R 6'1" / 237 lbs AA HR -5% Svc 5.000 · Ctrl thru 2026
wRC+†83
AVG/OBP/SLG.203 / .275 / .380
PA250
HR9
K%31
BB%7
MLB%2%
BAT: -4.9 runs (wOBA-derived runs vs avg)-5BATRUN: -0.1 runs (SB/CS + UBR baserunning)-0RUNFLD: -1.0 runs (Defensive runs vs avg)-1FLDPOS: -2.7 runs (Positional adjustment)-3POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.10-0.1WAR
Scouting · nowfuture
HIT
3030
PWR
5050
SPD
4040
EYE
4550
trajectory · 10 yrs
-0.1peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-3
MLB Debut   2021
Service   5.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Arb-3$0.6M
Totals $-0.4M $-0.4M +$0.0M

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
201518 ROKElizabethton Twins 216200 37512 11614 30 .185.242.250.492 .065.255 285 .225 30 -17 +1 +0 -2 +6 -1.3
201619 ROK2 teams 251234 53927 11824 51 .226.273.372.645 .145.315 334 .278 71 -8 +1 +0 -3 +7 -0.3
201720 ACedar Rapids Kernels 508451 9116910 3415417 132 .202.283.344.627 .142.277 307 .272 66 -19 +2 +0 -5 +14 -0.9
201821 A+2 teams 564515 942259 2920412 96 .183.243.297.540 .115.279 365 .237 40 -39 -1 +0 -6 +16 -3.0
201922 AA2 teams 471450 10316217 171352 110 .229.260.387.647 .158.287 294 .278 71 -16 +2 +0 -5 +13 -0.5
202124 AAA2 teams 253228 451209 22902 32 .197.274.368.642 .171.277 369 .280 72 -8 -0 -1 +1 +7 -0.1
202225 AAASyracuse Mets 369340 7917012 211096 101 .232.289.388.677 .156.305 306 .291 81 -8 +2 +0 -4 +10 0.0
202326 AAA2 teams 492439 9220219 4214010 02 .210.293.394.687 .185.260 289 .298 86 -8 -1 +0 -5 +14 0.0
202427 AAA2 teams 485442 8219121 301589 24 .186.252.376.627 .190.230 336 .271 66 -19 -1 -0 -5 +14 -1.2
202528 AA2 teams 271244 36918 20935 00 .148.227.291.518 .143.194 347 .225 31 -21 +0 +0 -3 +8 -1.7
▸ 2026 Season
202629 MLBLAA 250226 461119 18794 10 .204.274.381.655 .177.265 327 .293 83 -5 +0 -1 -3 +7 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202730 MLB 9%LAA 341306 6314112 261056 10 .206.281.376.657 .170.267 318 .293 83 -7 +0 -3 -4 +10 -0.4
202831 MLB 19%LAA 326293 6114111 251005 00 .208.282.375.657 .167.267 318 .292 82 -7 +0 -4 -3 +9 -0.5
202932 MLB 29%LAA 307276 5713110 23955 00 .207.280.370.649 .163.267 317 .289 79 -7 +0 -5 -3 +9 -0.7
203033 MLB 40%LAA 277250 511119 21874 00 .204.276.364.640 .160.266 318 .284 75 -8 +0 -5 -3 +8 -0.8
203134 MLB 54%LAA 234211 42917 18753 00 .199.272.351.622 .152.264 328 .277 70 -8 +0 -6 -3 +7 -1.0
▸ Career Totals (MLE all levels + projections)
Career 56155105 103221729172 368176798 5818 .202.269.357.626 .155.269 317 .274 68 -203 +4 -26 -57 +159 -12.4
/ 162G 650591 11925320 4320511 72 .201.268.355.624 .154.268 327 .274 68 -24 +1 -3 -7 +18 -1.4

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
201518 ROKElizabethton Twins 216193 47723 18434 30 .244.321.347.668 .104.299 208 .304 91 -2 +1 +6 0.5
201619 ACedar Rapids Kernels 10291 26521 8282 21 .286.356.418.774 .132.403 278 .344 121 +2 +0 +3 0.5
201619 ROKElizabethton Twins 149138 41719 8332 30 .297.345.558.903 .261.330 225 .390 157 +10 +1 +4 1.5
201720 ACedar Rapids Kernels 508438 110221113 4711917 132 .251.347.441.787 .189.312 239 .347 124 +14 +2 +14 3.0
201821 A+Fort Myers Miracle 493442 10224611 3412710 64 .231.300.387.687 .156.297 267 .304 91 -5 -0 +14 0.8
201821 INTLSalt River Rafters 7158 13100 10132 32 .224.357.241.599 .017.283 1814 .290 80 -2 -0 +2 0.0
201922 AAPensacola Blue Wahoos 410388 10818218 18932 110 .278.314.474.788 .196.323 234 .344 122 +10 +2 +12 2.4
201922 A+Fort Myers Miracle 6152 14401 9120 00 .269.377.404.781 .135.333 2015 .355 130 +2 +0 +2 0.4
202124 MLBNew York Mets 2423 4201 180 00 .174.208.391.600 .217.214 334 .260 58 -1 +0 -1 +1 +1 -0.0
202124 AAASyracuse Mets 229195 4811010 31662 32 .246.355.456.812 .210.317 2914 .360 134 +9 -0 +6 1.5
202225 AAASyracuse Mets 369329 8820015 32886 101 .267.343.465.808 .198.322 249 .357 131 +13 +2 +10 2.6
202326 MLBWashington Nationals 3731 5001 660 00 .161.297.258.555 .097.167 1616 .267 63 -2 +0 +0 -5 +1 -0.6
202326 AAARochester Red Wings 455393 10327223 5111010 02 .262.361.517.878 .254.307 2411 .384 152 +27 -1 +13 4.0
202427 MLBWashington Nationals 3231 4100 190 00 .129.156.161.318 .032.182 283 .147 -29 -5 +0 -0 -5 +1 -0.9
202427 AAARochester Red Wings 453399 9522226 411189 24 .238.323.499.822 .261.268 269 .357 131 +16 -1 +13 2.8
202528 AARocket City Trash Pandas 251218 411018 27694 00 .188.289.353.642 .165.232 2711 .290 80 -6 +0 +7 0.2
202528 ROKACL Angels 2016 2001 331 00 .125.300.312.613 .188.083 1515 .291 81 -0 +0 +1 0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career 9385 13302 8230 00 .153.226.259.485 .106.183 259 .224 30 -7 +0 -1 -10 +3 -1.6

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
Travis Blankenhorn (OGILVIE) 29 30 50 40 50 .203/.275/.380 .177.265 91 31% 7% 83 +0.2
Darick Hall
2023 · MLB
28 40→38 56→55 45→40 42 .218/.275/.408 .190.260 255 27% 6% 89 +0.9 .222/.279/.381 .159.276 214 27% 7% 83 +0.6 .210/.274/.337.127.26618128%7%66-0.4
Daniel Palka
2021 · MLB
29 39→43 57→60 43→50 44 .216/.281/.405 .189.275 264 32% 8% 91 +1.1 .222/.287/.396 .174.277 235 28% 8% 90 +1.0 .216/.278/.385.169.26724328%8%80+0.2
Matt Skole
2018 · AAA
29 37→39 51→50 46→40 44 .201/.264/.359 .158.247 203 28% 7% 71 -0.3 .199/.271/.339 .140.267 164 31% 8% 69 -0.4 .188/.269/.317.129.25616231%9%61-0.8
Greg Bird
2022 · MLB
29 38→46 53→55 43→30 45 .206/.279/.372 .166.266 224 31% 8% 81 +0.4 .206/.274/.347 .141.276 176 30% 8% 72 -0.2 .179/.252/.288.109.24313430%8%44-0.9
Ryan Schimpf
2016 · AAA
28 35→39 55→60 41→45 45 .197/.271/.381 .184.240 244 29% 8% 81 +0.4 .198/.286/.413 .215.252 283 33% 10% 95 +1.4 .174/.276/.397.224.22330137%11%81+0.3
Ryan Fitzgerald
2023 · AAA
29 38→44 51→55 44→45 42 .204/.266/.370 .166.256 187 28% 6% 75 -0.0 .210/.273/.363 .153.278 169 29% 7% 76 +0.0 .225/.292/.365.140.28614725%7%80+0.2
Yoshi Tsutsugo
2022 · MLB
30 42→41 54→50 42→30 53 .224/.312/.404 .179.271 223 26% 11% 103 +1.9 .221/.310/.369 .148.294 184 29% 11% 93 +1.3 .209/.307/.339.130.29016231%12%81+0.2
Josh Lester
2023 · AAA
29 37→43 57→60 45→40 40 .211/.260/.408 .197.257 266 30% 6% 82 +0.5 .212/.257/.387 .175.264 235 29% 5% 75 -0.0 .205/.249/.374.169.25223229%5%66-0.5
Jon Knott
2008 · MLB
29 41→40 54→55 45→40 46 .219/.286/.403 .184.261 225 26% 8% 92 +1.2 .222/.287/.387 .165.276 196 26% 7% 88 +0.9 .211/.274/.373.163.25519225%7%75-0.0
John-Ford Griffin
2008 · AAA
28 39 53→55 48→40 42 .213/.267/.384 .171.269 224 30% 7% 79 +0.3 .223/.280/.370 .147.288 156 27% 7% 80 +0.4 .225/.285/.357.132.28912425%6%77+0.1
Cody Decker
2016 · AAA
29 36→39 54→65 41→30 40 .197/.260/.372 .175.271 232 36% 7% 73 -0.1 .192/.249/.352 .160.286 213 39% 6% 63 -0.8 .183/.255/.341.158.26721038%8%62-0.3
Stewart Ijames
2017 · AA
28 39 54→65 44→45 39 .211/.271/.392 .182.293 235 36% 7% 83 +0.6 .207/.269/.356 .149.313 177 37% 7% 72 -0.2 .173/.240/.327.153.26720641%8%52-0.4
Norel González
2023 · AAA
29 45 51→50 41→40 41 .232/.286/.392 .160.290 196 27% 6% 89 +0.9 .222/.283/.362 .140.292 166 29% 7% 79 +0.3 .199/.272/.321.123.26315229%8%61-0.4
Edwin Rios
2023 · MLB
29 41→47 56→60 40→30 39 .218/.283/.409 .192.296 254 35% 7% 92 +1.2 .219/.290/.394 .175.322 223 37% 8% 92 +1.2 .211/.284/.391.180.31023138%8%85+0.5
Michael Pérez
2022 · MLB
29 36 50 39→40 47 .193/.267/.341 .148.244 184 29% 9% 68 -0.5 .188/.261/.323 .135.239 184 29% 8% 61 -1.0 .172/.250/.294.122.21917130%8%47-0.8
Christin Stewart
2022 · MLB
28 41→45 54→55 46→45 42 .218/.282/.394 .176.278 224 30% 7% 88 +0.9 .211/.290/.389 .178.300 2410 36% 9% 90 +1.0 .185/.284/.351.166.264241138%10%76+0.0
Andy Wilkins
2018 · MLB
29 36→45 51→55 50→45 43 .198/.258/.355 .157.252 205 30% 7% 67 -0.5 .189/.257/.356 .167.269 226 37% 8% 68 -0.5 .146/.221/.313.166.19725241%8%39-0.9
Jason Vosler
2023 · MLB
29 41→44 52→55 49→40 45 .217/.282/.379 .162.265 216 27% 7% 84 +0.6 .214/.274/.387 .173.271 225 29% 7% 82 +0.5 .207/.268/.386.179.25824430%7%77+0.1
Jeff Larish
2012 · MLB
29 43→45 53→55 42→45 45 .225/.294/.396 .171.296 214 31% 8% 93 +1.3 .201/.271/.337 .136.296 145 34% 9% 68 -0.5 .157/.239/.251.094.2514036%10%30-1.1
Mike Bianucci
2014 · AAA
28 40→39 53→60 44→40 38 .217/.265/.385 .168.267 224 28% 5% 79 +0.3 .234/.272/.431 .197.278 285 27% 5% 94 +1.3 .230/.263/.442.212.26332227%4%89+0.5