Mike Brosseau3B El Paso Chihuahuas
Age 32 R/R 5'10" / 203 lbs AAA HR +13%BB +8% Svc 7.000 · Ctrl thru 2026 peak 0.5 · 2026
wRC+†88
AVG/OBP/SLG.228 / .297 / .370
PA350
HR11
K%26
BB%7
MLB%10%
BAT: -4.6 runs (wOBA-derived runs vs avg)-5BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: -1.8 runs (Defensive runs vs avg)-2FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +9.9 runs (Replacement-level credit)+10REPTotal WAR: +0.50+0.5WAR
Scouting · nowfuture
HIT
4545
PWR
4545
SPD
5050
EYE
4545
trajectory · 10 yrs
0.5peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2019
Service   7.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$2M+0.5$2M-$0.4M
Totals $2M $2M -$0.4M

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
201622 ROKGCL Rays 142120 30910 8278 73 .250.338.342.680 .092.312 196 .293 82 -3 +0 +0 +1 +4 0.2
201723 A3 teams 539482 1332327 2810622 159 .276.344.376.720 .100.338 205 .313 98 -1 -1 +0 +2 +15 1.6
201824 AAMontgomery Biscuits 417381 8921313 189110 114 .234.286.407.693 .173.268 224 .294 83 -8 +1 +0 +1 +12 0.6
201925 AAA2 teams 457412 10824119 3110710 33 .262.329.464.793 .201.308 237 .338 117 +9 -1 -2 +2 +13 2.1
202026 MLBTampa Bay Rays 9886 27515 8313 20 .314.392.570.962 .256.431 328 .418 178 +9 +0 +3 +0 +3 1.6
202127 AAA3 teams 402357 6711113 3212111 40 .188.275.333.608 .146.240 308 .270 65 -16 +1 +0 +1 +11 -0.2
202228 MLB2 teams 180156 40605 18525 20 .256.352.391.743 .135.350 2910 .327 109 +2 +0 -4 +1 +5 0.4
202329 MLB2 teams 156147 25207 6462 01 .170.213.327.539 .156.189 294 .238 41 -10 -0 -4 +1 +4 -1.0
202430 AAASyracuse Mets 405361 817012 2910312 21 .224.303.343.647 .119.277 257 .287 78 -10 +0 +0 +1 +11 0.3
202531 AAAEl Paso Chihuahuas 344313 541007 22906 61 .173.240.272.512 .099.215 266 .230 34 -26 +1 +0 +1 +10 -1.4
▸ 2026 Season
202632 MLBSD 350316 7411111 24927 41 .234.303.380.682 .146.285 267 .301 88 -5 +0 -2 +1 +10 0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202733 MLB 20%SD 320289 659010 22866 20 .225.293.360.653 .135.284 277 .295 84 -6 +0 -6 +1 +9 -0.1
202834 MLB 33%SD 276251 55808 18765 10 .219.285.347.631 .127.282 287 .289 79 -7 +0 -6 +1 +8 -0.4
202935 MLB 43%SD 225204 43606 15654 10 .211.278.328.606 .118.280 297 .281 73 -7 +0 -7 +1 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 43113875 89115210123 2791093111 6023 .230.300.370.670 .140.285 256 .295 84 -79 +3 -27 +15 +122 3.5
/ 162G 650584 13523219 4216517 93 .231.302.375.677 .144.286 256 .295 84 -12 +1 -4 +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
201622 ROKGCL Rays 142113 361210 15198 73 .319.434.442.876 .124.371 1311 .382 150 +8 +0 +4 1.3
201723 A+Charlotte Stone Crabs 8069 23301 5156 42 .333.425.420.845 .087.415 196 .388 155 +5 +0 +2 0.7
201723 ABowling Green Hot Rods 344302 962126 264812 57 .318.394.460.854 .142.361 148 .379 148 +19 -2 +10 2.7
201723 INTLPerth Heat 11596 411106 12124 60 .427.509.7291.238 .302.432 1010 .519 255 +20 +1 +3 2.5
201824 AAMontgomery Biscuits 417370 9724313 297410 114 .262.333.449.781 .186.290 187 .340 119 +9 +1 +12 2.2
201925 MLBTampa Bay Rays 142132 36706 7392 10 .273.319.462.781 .189.345 275 .343 120 +3 +0 -2 +2 +4 0.7
201925 AAADurham Bulls 315270 8221116 34588 23 .304.397.567.964 .263.332 1811 .417 177 +27 -1 +9 3.6
202026 MLBTampa Bay Rays 9886 26515 8313 20 .302.381.558.940 .256.412 328 .406 169 +8 +0 +3 +0 +3 1.5
202127 MLBTampa Bay Rays 169150 28905 15532 20 .187.269.347.616 .160.245 319 .276 69 -6 +0 +0 +1 +5 0.1
202127 AAADurham Bulls 202170 37218 23509 20 .218.342.382.724 .165.259 2511 .332 112 +3 +0 +6 0.9
202127 INTLLeones del Escogido 3130 7000 180 00 .233.258.233.491 .000.318 263 .227 32 -2 +0 +1 -0.2
202228 MLBMilwaukee Brewers 160141 36506 14485 20 .255.344.418.762 .163.345 309 .344 121 +4 +0 -4 +1 +5 0.6
202228 A+Wisconsin Timber Rattlers 2014 5100 530 00 .357.526.429.955 .071.417 1525 .420 179 +2 +0 +1 0.2
202329 MLBMilwaukee Brewers 7873 15204 4201 00 .205.256.397.654 .192.224 265 .289 80 -2 +0 -4 +1 +2 -0.3
202329 AAANashville Sounds 7873 12004 3211 01 .164.208.329.537 .164.163 274 .236 39 -5 -0 +2 -0.4
202430 AAASyracuse Mets 405350 929015 408412 21 .263.358.417.775 .154.303 2110 .348 125 +11 +0 +11 2.3
202531 AAAEl Paso Chihuahuas 344302 671409 33686 61 .222.311.358.668 .136.254 2010 .302 89 -4 +1 +10 0.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career 647582 14128126 4819113 70 .242.314.428.742 .186.312 307 .329 110 +7 +1 -6 +5 +18 2.5

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
Mike Brosseau (OGILVIE) 32 45 45 50 45 .228/.297/.370 .141.285 114 26% 7% 88 +0.5
Anthony Recker
2017 · MLB
33 42→48 50 48→45 47 .214/.292/.365 .151.283 185 30% 9% 85 +0.7 .212/.279/.357 .145.289 165 31% 7% 77 +0.1 .194/.255/.340.146.26616132%6%59-0.5
Jesus Alberto Vega
2014 · AAA
32 44 50 47→40 42 .229/.281/.377 .149.279 198 26% 6% 82 +0.5 .221/.269/.326 .105.302 116 29% 5% 63 -0.8 .204/.253/.285.081.2957132%5%42-0.7
Mario Lisson
2016 · AAA
32 47→49 49→55 47→55 43 .238/.297/.379 .141.297 189 26% 6% 90 +1.0 .223/.292/.362 .139.297 168 29% 8% 83 +0.6 .205/.284/.348.143.27417630%9%74-0.0
Matt Szczur
2021 · MLB
32 46→56 48→45 45→55 47 .233/.293/.377 .144.283 159 23% 8% 87 +0.8 .216/.263/.373 .157.279 198 29% 6% 74 -0.1 .151/.186/.307.156.17823032%4%21-0.7
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
Brandon Larson
2007 · MLB
31 44→42 51→50 44→45 41 .228/.283/.384 .156.296 206 30% 6% 85 +0.7 .226/.270/.378 .152.283 198 27% 5% 78 +0.2 .213/.246/.358.145.24720424%4%60-0.3
Michael A. Taylor
2023 · MLB
32 48→51 46→55 46→60 45 .240/.298/.361 .121.304 1510 26% 7% 85 +0.7 .224/.283/.382 .158.299 2016 31% 7% 85 +0.7 .205/.265/.377.173.279222034%7%74-0.1
Tim Federowicz
2019 · MLB
31 47→49 47→50 49→40 42 .236/.285/.371 .136.302 155 27% 6% 82 +0.5 .209/.262/.340 .131.279 156 30% 7% 64 -0.8 .166/.219/.275.108.22315232%6%28-1.3
Jantzen Witte
2023 · AAA
33 49→53 50→45 46→45 44 .252/.300/.402 .150.302 197 23% 6% 96 +1.5 .214/.271/.360 .146.285 178 30% 7% 74 -0.1 .192/.255/.337.145.25518631%7%58-0.6
Chris Owings
2023 · MLB
31 40→50 47→50 50→55 44 .205/.272/.343 .138.276 1513 31% 8% 70 -0.3 .203/.276/.336 .133.294 1611 34% 8% 70 -0.3 .193/.274/.320.127.282161135%9%62-0.5
Brooks Conrad
2012 · MLB
32 45→44 51→55 53→50 47 .230/.301/.389 .159.296 1813 28% 8% 94 +1.3 .227/.292/.424 .197.303 256 32% 8% 99 +1.7 .190/.251/.354.164.24621132%7%63-0.4
Chad Huffman
2016 · AAA
31 47→50 49→50 49→45 47 .237/.305/.382 .145.296 168 25% 8% 94 +1.3 .232/.310/.392 .160.283 179 23% 8% 99 +1.7 .224/.306/.383.159.27517524%8%92+0.8
Issmael Salas
2014 · AAA
32 49→51 49→50 47→50 46 .246/.297/.395 .149.280 167 19% 6% 94 +1.3 .245/.288/.358 .113.281 116 17% 5% 80 +0.4 .253/.300/.375.122.27813514%5%89+0.6
Edwin Diaz
2007 · AAA
32 45 49→50 44→40 42 .229/.277/.374 .144.268 179 22% 5% 80 +0.4 .248/.282/.384 .136.280 157 17% 3% 84 +0.6 .271/.296/.404.133.29914214%2%91+0.5
Cody Ransom
2008 · MLB
32 38→41 51→55 49→50 42 .204/.265/.360 .156.265 1912 31% 7% 72 -0.2 .215/.279/.389 .174.271 2110 28% 7% 85 +0.7 .217/.285/.398.181.29023732%8%87+0.6
Jacob Wilson
2021 · AAA
31 47→49 49→55 45→40 47 .238/.299/.390 .152.284 175 23% 7% 93 +1.3 .221/.289/.400 .179.269 216 26% 7% 92 +1.2 .194/.271/.385.190.22523026%8%79+0.1
Joshua Rodriguez
2017 · AAA
32 45→55 47→50 48→50 46 .224/.292/.357 .133.295 149 28% 8% 82 +0.5 .219/.276/.349 .130.299 156 30% 7% 72 -0.2 .228/.280/.369.140.29919329%6%75+0.0
Donnie Murphy
2015 · MLB
32 39→41 52→60 45 41 .209/.273/.376 .166.260 216 28% 6% 79 +0.3 .210/.275/.332 .122.267 136 26% 7% 69 -0.4 .196/.269/.273.077.2497023%7%49-0.5
Pat Meares
2001 · MLB
32 48 48→50 49→30 49 .240/.304/.383 .144.270 164 18% 7% 94 +1.3 .228/.279/.352 .124.259 134 17% 6% 75 -0.0 .210/.243/.301.092.2388016%4%38-1.2
Hector Luna
2012 · MLB
32 49 50→55 49→50 47 .251/.304/.406 .155.284 188 19% 6% 99 +1.7 .241/.286/.380 .139.280 168 20% 5% 85 +0.7 .245/.283/.378.133.28315319%4%80+0.2