Griffin Lockwood-PowellC Tulsa Drillers
Age 28 R/R 6'2" / 195 lbs AA HR +15%K -3% Svc 0.0 · Ctrl thru 2034 peak 0.5 · 2026
wRC+†77
AVG/OBP/SLG.203 / .279 / .318
PA250
HR5
K%28
BB%9
MLB%2%
BAT: -6.5 runs (wOBA-derived runs vs avg)-7BATRUN: -0.1 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +4.5 runs (Positional adjustment)+4POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +0.50+0.5WAR
Scouting · nowfuture
HIT
4040
PWR
3535
SPD
4040
EYE
4860
trajectory · 10 yrs
0.5peak
2027

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+0.3$1M+$0.5M
2030Arb-2$0.9M+0.1$0.5M+$0.0M (cut)
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
Totals $1M $-0.6M -$2M

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
202224 A2 teams 153126 28406 20515 00 .222.351.397.748 .175.310 3313 .331 112 +2 +0 +0 +3 +4 0.9
202325 A+Great Lakes Loons 395340 6718111 431107 11 .197.300.353.653 .156.250 2811 .286 77 -10 -0 +0 +7 +11 0.8
202426 AATulsa Drillers 469433 7612011 271475 21 .176.232.279.512 .104.233 316 .227 32 -36 +0 +0 +8 +13 -1.5
202527 AATulsa Drillers 334298 57915 34891 00 .191.276.279.555 .087.254 2710 .248 48 -20 +0 +0 +6 +9 -0.4
▸ 2026 Season (actual · ROS · total)
202628 AATulsa Drillers 4940 10101 6142 00 .250.375.350.725 .100.346 2912 .308 94 -0 +0 +0 +1 +1 0.2
ROS28 MLBLAD 201179 37704 18572 10 .207.286.313.599 .106.278 289 .280 73 -6 +0 +0 +4 +6 0.3
TOT28 MLBLAD 250219 47805 24714 10 .215.304.320.623 .105.290 2810 .286 77 -7 +0 +0 +4 +7 0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202729 MLB 9%LAD 258228 49916 25653 10 .215.301.342.643 .127.268 2510 .286 77 -7 +0 -1 +5 +7 0.4
202830 MLB 19%LAD 301266 571017 29773 10 .214.299.338.637 .124.269 2610 .285 77 -8 +0 -2 +5 +9 0.4
202931 MLB 29%LAD 307272 581017 29793 10 .213.296.335.631 .121.268 269 .283 75 -9 +0 -3 +5 +9 0.3
203032 MLB 40%LAD 297264 551016 28783 10 .208.292.322.613 .114.268 269 .280 72 -9 +0 -4 +5 +8 0.1
203133 MLB 49%LAD 271241 49915 25733 10 .203.286.311.597 .108.266 279 .274 68 -10 +0 -4 +5 +8 -0.1
203234 MLB 57%LAD 231206 40704 21642 00 .194.275.286.562 .092.264 289 .268 63 -10 +0 -5 +4 +7 -0.4
▸ Career Totals (MLE all levels + projections)
Career 32172853 573105772 29989037 92 .201.285.318.603 .117.262 289 .272 66 -122 +1 -19 +57 +91 0.9
/ 162G 650576 11621115 601807 20 .201.284.319.603 .118.262 289 .272 66 -25 +0 -4 +12 +18 0.2

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
202224 ARancho Cucamonga Quakes 135105 29407 23315 00 .276.429.514.943 .238.319 2317 .413 174 +11 +0 +4 1.5
202224 ROKACL Dodgers 1810 4101 840 00 .400.667.8001.467 .400.600 2244 .598 315 +4 +0 +1 0.5
202325 A+Great Lakes Loons 395323 7723113 60877 11 .238.369.437.806 .198.281 2215 .358 132 +14 -0 +11 2.6
202426 AATulsa Drillers 469420 9716014 401085 21 .231.305.369.674 .138.275 239 .303 90 -5 +0 +13 0.8
202527 AATulsa Drillers 334279 631115 53671 00 .226.351.326.678 .100.279 2016 .316 100 -0 +0 +9 1.0

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
Griffin Lockwood-Powell (OGILVIE) 28 40 35 40 60 .203/.279/.318 .116.270 51 28% 9% 68 -0.2
Dominic Miroglio
2022 · AA
27 41 44→45 44→40 43 .205/.269/.321 .117.279 115 30% 7% 63 -0.9 .216/.284/.361 .145.260 155 23% 8% 80 +0.4 .203/.270/.374.171.21220216%7%72-0.1
Dan Butler
2015 · MLB
28 43→39 45 44→40 45 .213/.274/.334 .121.264 123 24% 6% 69 -0.4 .217/.279/.315 .098.282 73 24% 7% 65 -0.7 .214/.284/.310.095.2699022%8%63-0.3
Sharlon Schoop
2015 · AA
28 44 42→40 40→45 42 .218/.270/.319 .101.283 105 26% 6% 62 -0.9 .210/.255/.295 .085.272 84 25% 5% 49 -1.8 .204/.257/.319.115.25912026%6%52-0.5
Grayson Greiner
2021 · MLB
28 40 46→45 45→30 44 .206/.272/.331 .125.276 154 30% 8% 66 -0.6 .196/.260/.306 .110.334 125 42% 7% 55 -1.4 .177/.244/.263.086.3299146%8%34-0.9
Brian O'Keefe
2021 · AA
28 41→42 46→55 45→40 47 .209/.282/.338 .130.264 144 26% 8% 73 -0.1 .212/.271/.370 .158.289 215 33% 7% 76 +0.1 .198/.262/.368.171.24422129%7%69-0.2
Stevie Berman
2023 · AAA
28 39 46→50 48→40 48 .200/.287/.330 .129.255 145 26% 9% 73 -0.1 .215/.296/.335 .120.285 137 27% 9% 79 +0.3 .199/.298/.266.067.2679027%12%60-0.2
Jonathan Morales
2023 · AAA
28 45 42→40 46→30 45 .220/.272/.316 .096.267 114 22% 6% 63 -0.9 .220/.271/.339 .119.258 145 20% 6% 68 -0.5 .203/.253/.323.120.22915119%6%55-0.9
Stephen McGee
2018 · AAA
27 43 43→40 45→30 48 .206/.290/.315 .108.293 104 31% 10% 70 -0.3 .202/.285/.308 .106.327 106 37% 10% 66 -0.6 .131/.233/.187.055.2643046%11%12-0.9
David Masters
2021 · AA
28 42→36 46→45 42→40 43 .212/.279/.339 .128.290 143 31% 8% 72 -0.2 .215/.274/.369 .154.312 198 36% 7% 78 +0.2 .170/.231/.347.178.22628639%6%50-0.4
Jesus Alberto Vega
2010 · AAA
28 44 45→50 40 42 .219/.277/.343 .123.274 124 25% 6% 72 -0.2 .224/.281/.349 .125.272 144 23% 6% 75 -0.0 .227/.285/.373.146.26719223%6%80+0.1
Michael Papierski
2023 · MLB
27 41 42→40 38→40 50 .200/.286/.300 .100.257 104 25% 9% 66 -0.6 .211/.290/.320 .109.273 114 25% 9% 72 -0.2 .206/.291/.312.106.26811126%10%69-0.2
Javi Herrera
2009 · AAA
28 46 40 43→45 48 .220/.300/.312 .092.275 87 22% 8% 74 -0.1 .211/.291/.310 .099.277 98 25% 9% 70 -0.3 .131/.226/.199.068.1725025%9%17-0.7
Colton Plaia
2019 · AAA
28 43 42→40 43→30 41 .210/.265/.315 .105.291 104 30% 6% 59 -1.1 .193/.241/.301 .108.296 116 37% 5% 45 -2.1 .115/.144/.167.053.1944042%3%-32-1.7
Beau Taylor
2018 · AAA
28 46 41→45 42→30 45 .220/.286/.315 .096.303 93 29% 8% 68 -0.5 .217/.300/.325 .108.315 104 31% 10% 77 +0.1 .204/.296/.307.102.2999132%10%69-0.2
Andrew Knizner
2023 · MLB
28 44 41→50 42→40 52 .214/.299/.310 .095.264 84 21% 9% 73 -0.1 .224/.292/.347 .123.275 145 23% 7% 79 +0.3 .225/.294/.342.116.27713322%6%77+0.1
Dusty Brown
2011 · AAA
29 44 44→45 47→30 44 .217/.278/.331 .114.288 123 28% 7% 69 -0.4 .213/.280/.353 .140.269 145 25% 8% 76 +0.0 .204/.283/.358.153.24716124%9%79+0.1
Tuffy Gosewisch
2012 · AAA
28 45→44 44→45 38→40 44 .221/.275/.338 .117.264 114 21% 6% 69 -0.4 .210/.255/.320 .110.254 104 21% 5% 56 -1.3 .220/.265/.328.108.25511218%5%59-0.4
Gavin Collins
2022 · AAA
27 41 44→45 43→40 44 .207/.270/.318 .111.255 125 24% 6% 63 -0.9 .215/.284/.339 .124.270 156 25% 7% 75 -0.0 .207/.269/.313.106.23712318%6%59-0.4
Xorge Carrillo
2017 · AAA
28 48 41→40 40→30 45 .232/.290/.325 .093.273 93 18% 6% 72 -0.2 .225/.276/.329 .104.282 114 23% 5% 67 -0.5 .228/.278/.334.106.28212123%5%66-0.3
Arturo Rodriguez
2019 · AAA
27 45→41 43→45 46→30 43 .223/.266/.329 .107.272 125 23% 5% 63 -0.9 .258/.294/.402 .144.289 196 18% 4% 94 +1.3 .282/.311/.427.146.30523216%3%103+1.0