Jamie Westbrook2B Durham Bulls
Age 31 R/R 5'7" / 193 lbs AAA Svc 2.000S2 · Ctrl thru 2029 peak 0.8 · 2026
wRC+†100
AVG/OBP/SLG.242 / .312 / .391
PA250
HR7
K%20
BB%8
MLB%10%
BAT: -0.0 runs (wOBA-derived runs vs avg)-0BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.1 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +0.80+0.8WAR
Scouting · nowfuture
HIT
5555
PWR
4545
SPD
4545
EYE
4650
trajectory · 10 yrs
0.9peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb SUPER-2
MLB Debut   2024
Service   2.000 yrs.days
Team Control Through   2029
First FA Year   2030
YearStatusSalary Proj WAR Value Surplus
2026Arb-1$1M+0.8$3M+$2M
2027Arb-2$1M+0.7$3M+$1M
2028Arb-3$1M+0.4$2M+$0.3M
2029Arb-4$1M
Totals $4M $8M +$4M

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
201318 ROKMissoula Osprey 252232 49861 14594 43 .211.268.310.578 .099.276 236 .255 53 -13 -0 +0 +1 +7 -0.6
201419 ASouth Bend Silver Hawks 565524 1182137 271255 63 .225.270.317.587 .092.279 225 .256 54 -29 +0 +0 +2 +16 -1.2
201520 A+2 teams 645603 16033420 1911311 176 .265.300.433.733 .167.291 183 .313 98 -2 +1 +0 +2 +18 2.0
201621 AA2 teams 540511 1121915 21916 106 .219.258.290.548 .070.257 174 .242 43 -35 -0 +0 +2 +15 -1.8
201722 AAJackson Generals 409386 911728 10578 22 .236.270.352.622 .117.255 142 .269 64 -17 -0 +0 +1 +12 -0.4
201823 AA2 teams 468443 11218417 16977 43 .253.290.427.716 .174.287 213 .310 95 -3 -0 +0 +2 +13 1.2
201924 AA3 teams 563509 11922117 3511511 13 .234.297.381.678 .147.265 206 .296 85 -10 -1 +0 +2 +16 0.7
202126 AAA2 teams 369334 8313211 20659 30 .249.309.398.707 .150.273 185 .310 95 -2 +1 +0 +1 +10 1.1
202227 AAAToledo Mud Hens 511456 1021909 379514 12 .224.302.325.626 .101.261 197 .282 74 -15 -1 +0 +2 +14 0.1
202328 AAAScranton/Wilkes-Barre RailRiders 496443 11619018 44977 64 .262.338.427.765 .165.297 209 .335 115 +8 -0 +0 +2 +14 2.4
202429 AAA2 teams 473421 9824113 351009 22 .233.305.387.693 .154.269 217 .301 89 -6 -0 +0 +2 +13 0.9
202530 AAADurham Bulls 430387 962704 29798 20 .248.314.349.663 .101.298 187 .293 82 -9 +0 +0 +2 +12 0.6
▸ 2026 Season
202631 MLBTB 250225 541207 19494 21 .240.310.387.697 .147.281 208 .316 100 -0 +0 +0 +1 +7 0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202732 MLB 20%TB 361324 7917110 28746 10 .244.316.395.711 .151.281 208 .312 97 -1 +0 -3 +1 +10 0.7
202833 MLB 33%TB 331297 711519 26715 00 .239.311.387.698 .148.280 218 .307 93 -3 +0 -4 +1 +9 0.4
202934 MLB 43%TB 287259 611317 22644 00 .236.305.375.680 .139.279 228 .301 88 -4 +0 -5 +1 +8 0.1
203035 MLB 52%TB 235212 471005 18553 00 .222.292.340.631 .118.277 238 .293 82 -5 +0 -6 +1 +7 -0.3
203136 MLB 64%TB 179162 35704 13442 00 .216.282.333.616 .117.274 257 .284 75 -5 +0 -6 +1 +5 -0.6
▸ Career Totals (MLE all levels + projections)
Career 73646728 160331427172 4331450123 6135 .238.296.370.666 .131.277 206 .293 82 -148 -2 -24 +26 +209 6.2
/ 162G 650594 14128215 3812811 53 .237.295.367.662 .130.276 206 .293 82 -13 -0 -2 +2 +18 0.5

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
201318 ROKMissoula Osprey 252221 621182 23414 43 .281.356.430.786 .149.333 169 .346 123 +7 -0 +7 1.4
201419 ASouth Bend Silver Hawks 565509 1322748 38985 63 .259.315.375.690 .116.303 177 .305 91 -6 +0 +16 1.1
201520 A+Visalia Rawhide 527480 15333417 246910 144 .319.362.510.872 .192.337 135 .376 146 +27 +1 +15 4.4
201520 INTLSydney Blue Sox 118107 32500 561 32 .299.328.346.673 .047.314 54 .297 86 -2 -0 +3 0.1
201621 AAMobile BayBears 473435 1142115 26606 105 .262.310.349.659 .087.294 135 .297 85 -8 +0 +13 0.6
201621 INTLSalt River Rafters 6760 14101 660 01 .233.299.300.599 .067.245 99 .275 68 -2 -0 +2 -0.1
201722 AAJackson Generals 409377 1001938 16438 22 .265.307.395.702 .130.278 114 .309 94 -3 -0 +12 0.9
201823 AAAReno Aces 2523 9104 220 00 .391.440.9571.397 .565.294 88 .585 306 +6 +0 +1 0.7
201823 AAJackson Generals 443408 11720515 24717 43 .287.336.471.806 .184.315 165 .353 129 +14 -0 +13 2.7
201924 AAAReno Aces 127106 34603 16152 01 .321.416.462.878 .142.344 1213 .387 155 +8 -0 +4 1.1
201924 AAJackson Generals 388342 9220113 32688 11 .269.346.447.793 .178.296 188 .348 125 +11 -0 +11 2.2
201924 INTLMayos de Navojoa 4845 10200 291 01 .222.271.267.537 .044.278 194 .249 49 -3 -0 +1 -0.2
202126 AAANashville Sounds 287251 7215111 21427 20 .287.353.486.839 .199.302 157 .363 136 +12 +0 +8 2.1
202126 AABiloxi Shuckers 8269 18111 9122 10 .261.362.348.710 .087.293 1511 .321 104 +0 +0 +2 0.3
202227 AAAToledo Mud Hens 511429 10922011 548014 12 .254.349.382.731 .128.287 1611 .329 110 +6 -1 +14 2.0
202328 AAAScranton/Wilkes-Barre RailRiders 496411 12120021 67817 64 .294.395.496.891 .202.322 1614 .390 157 +32 -0 +14 4.7
202429 MLBBoston Red Sox 4840 6202 4141 00 .150.239.350.589 .200.154 298 .251 51 -3 +0 +0 +2 +1 0.1
202429 AAAWorcester Red Sox 425358 9924112 48728 22 .277.370.450.820 .173.311 1711 .360 133 +16 -0 +12 2.8
202530 AAADurham Bulls 430372 992907 43708 20 .266.354.401.754 .134.307 1610 .337 116 +8 +0 +12 2.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career 4840 6202 4141 00 .150.239.350.589 .200.154 298 .251 51 -3 +0 +0 +2 +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
Jamie Westbrook (OGILVIE) 31 55 45 45 50 .242/.312/.391 .149.281 72 20% 8% 100 +0.7
Dioner Navarro
2015 · MLB
31 54→61 47→50 46→45 50 .270/.320/.401 .131.293 164 14% 7% 104 +2.0 .240/.297/.367 .127.274 154 18% 7% 86 +0.8 .208/.275/.313.105.24512120%8%60-0.4
John Mayberry Jr.
2015 · MLB
31 44→48 51→55 44→50 48 .228/.295/.393 .165.271 185 23% 8% 92 +1.2 .212/.280/.363 .151.261 167 25% 8% 79 +0.3 .162/.216/.280.119.20211426%7%29-0.8
Kevan Smith
2020 · MLB
32 54 44→50 49→40 47 .262/.314/.378 .116.296 125 16% 6% 96 +1.5 .234/.305/.355 .121.292 127 23% 8% 87 +0.8 .163/.242/.193.030.2400029%9%2-0.9
Michael McKenry
2016 · MLB
31 48→46 51→55 43→40 52 .243/.324/.407 .163.293 187 23% 10% 108 +2.3 .212/.307/.346 .134.289 136 29% 11% 85 +0.7 .181/.285/.291.110.25710231%12%61-0.4
Pedro Severino
2023 · MLB
30 51→50 47→50 49→45 46 .251/.310/.385 .134.318 155 25% 8% 96 +1.5 .225/.283/.360 .135.285 1511 26% 7% 79 +0.3 .189/.246/.307.118.234151326%7%45-0.9
Aledmys Díaz
2022 · MLB
31 50→58 50→55 44→45 49 .252/.317/.410 .159.282 174 18% 7% 106 +2.2 .234/.287/.370 .136.267 154 18% 6% 83 +0.6 .228/.279/.354.126.25914218%5%73-0.1
Marco Scutaro
2007 · MLB
31 53→62 45 50→45 54 .257/.318/.390 .133.284 106 14% 8% 100 +1.7 .261/.338/.375 .114.287 108 12% 10% 105 +2.1 .272/.348/.388.116.29210810%10%109+2.4
Elias Díaz
2021 · MLB
30 52→58 44→50 43→45 49 .255/.310/.371 .116.291 123 17% 7% 92 +1.2 .234/.293/.379 .145.268 173 19% 7% 88 +0.9 .235/.291/.378.144.27317020%7%85+0.5
Travis Denker
2017 · AAA
31 46→52 51→50 44→45 51 .233/.303/.395 .161.258 183 18% 8% 96 +1.5 .243/.317/.401 .158.288 185 21% 9% 104 +2.0 .249/.333/.400.151.30018022%9%112+1.0
John Buck
2011 · MLB
31 49→53 53→55 40→30 43 .249/.301/.425 .176.305 203 25% 6% 103 +1.9 .230/.305/.388 .158.277 202 24% 9% 95 +1.4 .213/.300/.359.146.25320124%10%76+0.0
Juan Encarnacion
2007 · MLB
31 53→58 51→55 43→50 48 .268/.321/.432 .164.295 187 16% 6% 113 +2.6 .260/.310/.413 .153.288 177 16% 6% 103 +1.9 .253/.301/.395.142.28115415%6%93+0.8
Ronny Paulino
2012 · MLB
31 52→62 42→50 48→40 50 .251/.304/.356 .105.289 93 17% 7% 85 +0.7 .244/.290/.339 .095.298 84 20% 6% 75 -0.0 .259/.306/.369.110.29913318%6%89+0.4
Hector Luna
2011 · MLB
31 50→49 50→55 48→50 46 .254/.307/.407 .154.291 188 20% 6% 101 +1.8 .245/.294/.390 .145.282 177 19% 6% 91 +1.1 .243/.288/.380.137.27715518%5%82+0.3
Mark DeRosa
2006 · MLB
31 49→59 46→55 42→40 50 .245/.308/.374 .129.278 145 18% 7% 92 +1.2 .280/.351/.433 .153.326 155 18% 9% 125 +3.5 .288/.367/.447.159.33415417%10%133+3.9
Adonis García
2017 · MLB
32 54→56 48→50 46→50 42 .269/.301/.409 .140.301 157 17% 4% 98 +1.6 .247/.289/.380 .133.279 1510 17% 4% 86 +0.8 .213/.260/.317.104.242131518%4%57-0.5
Anthony Recker
2014 · MLB
30 43→48 51→50 43→45 47 .220/.295/.378 .157.286 197 29% 9% 89 +0.9 .211/.280/.369 .158.286 206 32% 8% 80 +0.4 .200/.280/.351.151.26619331%9%71-0.1
Gabe Kapler
2006 · MLB
31 55→60 46→55 47→55 47 .268/.314/.400 .132.303 1210 16% 6% 102 +1.8 .261/.318/.401 .140.292 148 15% 7% 104 +2.0 .262/.332/.433.171.28917815%9%115+1.0
Andy Green
2008 · MLB
31 50→56 46→50 48→45 51 .245/.311/.387 .142.285 128 19% 8% 97 +1.5 .221/.290/.340 .119.264 128 20% 8% 76 +0.1 .215/.283/.329.114.25511720%8%68-0.3
Daniel Descalso
2018 · MLB
31 48→54 48→50 51→45 56 .237/.325/.382 .146.282 157 21% 11% 102 +1.9 .224/.326/.382 .158.287 165 25% 13% 103 +1.9 .202/.317/.357.155.26316227%14%88+0.5
Edgar Gonzalez
2009 · MLB
31 54→57 44→45 42→50 48 .263/.319/.384 .121.315 129 20% 7% 99 +1.7 .251/.309/.376 .125.300 138 20% 7% 93 +1.3 .251/.301/.363.113.300121220%6%83+0.3