Mickey Gasper2B Worcester Red Sox
Age 30 S/R 5'9" / 205 lbs AAA Svc 2.000S2 · Ctrl thru 2029 peak 1.1 · 2026
wRC+†vL 49103vR 34
AVG/OBP/SLG.207 / .294 / .336
PA250
HR6
K%19
BB%9
xwOBA.236
Barrel%1.3%
MLB%45%
BAT: +0.9 runs (wOBA-derived runs vs avg)+1BATRUN: -0.5 runs (SB/CS + UBR baserunning)-1RUNFLD: -1.1 runs (Defensive runs vs avg)-1FLDPOS: +4.5 runs (Positional adjustment)+4POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +1.10+1.1WAR
Scouting · nowfuture
HIT
6060
PWR
6060
SPD
4545
EYE
5555
trajectory · 10 yrs
0.8peak
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   2027
DEF 10%
YearStatusSalary Proj WAR Value Surplus
2026Arb-1$0.6M+1.1$9M+$8M
2027Arb-2$2M+0.9$4M+$2M
2028Arb-3$2M+0.6$3M+$0.6M
2029Arb-4$2M+0.3$1M+$0.0M (cut)
Totals $6M $16M +$11M

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
201822 ROKPulaski Yankees 172150 28407 19302 00 .187.287.353.640 .167.184 1711 .291 81 -4 +0 +0 +3 +5 0.4
201923 A2 teams 432387 761809 3010711 30 .196.273.313.586 .116.244 257 .261 58 -21 +1 +0 +8 +12 0.0
202125 AA2 teams 6658 18322 3164 20 .310.385.534.919 .224.390 245 .372 143 +3 +0 +0 +1 +2 0.7
202226 AASomerset Patriots 270227 531217 31689 32 .233.348.388.736 .154.297 2511 .324 106 +2 -0 +0 +5 +8 1.4
202327 AA2 teams 266234 51706 24547 101 .218.309.325.634 .107.257 209 .283 75 -8 +2 +0 +5 +8 0.6
202428 AAA4 teams 471407 11127013 486912 61 .273.366.435.801 .162.298 1510 .348 124 +13 +1 -0 +2 +13 2.9
202529 AAA3 teams 383341 741709 31809 60 .217.299.346.645 .129.257 218 .287 78 -10 +1 -2 +7 +11 0.7
▸ 2026 Season (actual · ROS · total)
202630 AAAWorcester Red Sox 9280 22503 12240 11 .275.370.450.820 .175.358 2613 .351 127 +3 -0 +0 +2 +3 0.7
ROS30 MLBBOS 158139 31704 15323 21 .223.312.360.672 .137.255 209 .302 89 -2 +0 -1 +3 +4 0.4
TOT30 MLBBOS 250219 531207 27563 32 .242.333.393.726 .151.293 2211 .320 103 +1 -0 -1 +4 +7 1.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202731 MLB 54%BOS 353305 681409 39586 31 .223.323.357.680 .134.246 1611 .310 95 -2 +0 -5 +6 +10 0.9
202832 MLB 65%BOS 334290 641318 36585 11 .221.317.355.672 .134.248 1711 .306 93 -3 -0 -6 +6 +9 0.7
202933 MLB 74%BOS 304265 571207 32564 00 .215.309.340.649 .125.249 1811 .302 89 -4 +0 -6 +5 +9 0.4
203034 MLB 82%BOS 261228 491006 27504 00 .215.309.338.647 .123.249 1910 .296 85 -4 +0 -7 +5 +7 0.1
203135 MLB 89%BOS 209182 38804 22423 00 .209.304.319.623 .110.247 2011 .289 79 -5 +0 -7 +4 +6 -0.2
203236 MLB 94%BOS 153134 27503 16332 00 .201.296.306.602 .104.245 2210 .280 73 -5 +0 -7 +3 +4 -0.5
▸ Career Totals (MLE all levels + projections)
Career 38323347 745157494 37375381 367 .223.315.356.672 .134.258 2010 .302 89 -48 +4 -42 +62 +109 8.6
/ 162G 650568 12727116 6312814 61 .224.316.359.675 .136.259 2010 .302 89 -8 +1 -7 +10 +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
201822 ROKPulaski Yankees 172139 36609 30212 00 .259.398.496.894 .237.245 1217 .394 160 +12 +0 +5 1.7
201923 A+Tampa Tarpons 8978 25502 7163 20 .321.398.462.859 .141.377 188 .382 150 +5 +0 +3 0.8
201923 ACharleston RiverDogs 343288 671708 44638 10 .233.350.375.725 .142.268 1813 .330 110 +4 +0 +10 1.4
202125 AASomerset Patriots 4035 12221 262 20 .343.410.6001.010 .257.379 155 .427 185 +4 +0 +1 0.5
202125 A+Hudson Valley Renegades 2622 7101 262 00 .318.423.500.923 .182.400 238 .414 175 +2 +0 +1 0.3
202226 AASomerset Patriots 270214 571418 44539 32 .266.412.453.865 .187.314 2016 .386 154 +16 -0 +8 2.4
202327 AAAScranton/Wilkes-Barre RailRiders 7868 13201 8162 20 .191.295.265.560 .074.235 2110 .266 62 -3 +0 +2 -0.1
202327 AASomerset Patriots 188156 42606 26275 81 .269.390.423.813 .154.290 1414 .368 140 +8 +1 +5 1.5
202428 MLBBoston Red Sox 2318 0000 481 00 .000.217.000.217 .000.000 3517 .153 -24 -3 +0 -0 +2 +1 -0.1
202428 AAAWorcester Red Sox 204169 621408 30204 11 .367.473.5921.065 .225.380 1015 .464 213 +26 -0 +6 3.2
202428 AAPortland Sea Dogs 176142 401304 26225 30 .282.410.458.868 .176.303 1215 .384 152 +10 +1 +5 1.6
202428 INTLCriollos de Caguas 6853 11110 1372 20 .208.382.264.647 .057.239 1019 .317 101 +0 +0 +2 0.2
202529 MLBMinnesota Twins 11095 15102 10203 20 .158.259.232.491 .074.176 189 .232 36 -8 +0 -2 +7 +3 0.0
202529 AAASt. Paul Saints 208179 5114010 25384 20 .285.385.531.915 .246.313 1812 .402 166 +15 +0 +6 2.2
202529 INTLToros del Este 6552 13201 1182 20 .250.400.346.746 .096.279 1217 .351 127 +2 +0 +2 0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career 133113 15102 14284 20 .133.252.195.447 .062.155 2111 .218 25 -11 +0 -2 +9 +4 -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
Mickey Gasper (OGILVIE) 30 60 60 45 55 .207/.294/.336 .129.235 63 19% 9% 79 +0.1
Donovan Walton
2023 · MLB
29 46→54 48→50 47→45 48 .232/.294/.383 .151.259 148 17% 6% 89 +1.0 .234/.294/.354 .120.269 127 17% 7% 82 +0.5 .238/.301/.343.104.27112516%7%81+0.3
Ildemaro Vargas
2022 · MLB
31 50→57 47→45 49→50 46 .247/.284/.382 .135.265 147 14% 5% 84 +0.6 .238/.283/.352 .114.260 98 12% 6% 76 +0.0 .241/.291/.338.098.2578810%6%73-0.1
Omar Mendoza
2013 · AAA
30 49→54 44→45 44→45 48 .239/.296/.348 .109.285 129 20% 7% 81 +0.4 .238/.284/.322 .084.303 86 23% 6% 68 -0.5 .243/.288/.307.064.3115222%6%62-0.5
Andy Ibáñez
2023 · MLB
30 49→55 46→50 49→45 48 .241/.294/.375 .134.272 138 17% 6% 87 +0.8 .246/.302/.391 .145.287 157 19% 7% 94 +1.3 .247/.306/.390.143.28915720%7%94+0.8
Gordon Beckham
2017 · MLB
30 43→53 46→50 47→45 49 .217/.282/.347 .130.245 134 18% 7% 75 -0.0 .226/.287/.349 .123.265 137 19% 7% 78 +0.2 .226/.285/.345.119.26812720%6%72-0.1
Travis Denker
2016 · AAA
30 45→52 47→50 47→45 48 .224/.284/.365 .140.250 144 17% 7% 81 +0.4 .240/.313/.403 .163.275 194 20% 8% 103 +1.9 .248/.334/.425.177.28322020%10%117+1.2
Devin Mesoraco
2018 · MLB
30 42→52 46→60 48→40 52 .210/.300/.338 .129.251 147 22% 9% 81 +0.4 .233/.313/.401 .168.265 215 21% 9% 103 +1.9 .232/.313/.416.184.25125019%9%99+0.8
Maikel Franco
2022 · MLB
29 44→54 49→55 46→40 49 .222/.276/.368 .146.239 172 16% 7% 78 +0.2 .229/.269/.355 .126.263 144 19% 5% 71 -0.3 .232/.260/.341.109.26913219%3%62-0.6
Alex Cintron
2009 · MLB
30 53→63 42→50 46→45 45 .259/.296/.358 .100.289 99 15% 5% 82 +0.5 .237/.273/.332 .095.279 96 18% 5% 66 -0.6 .214/.230/.278.064.2576619%2%29-0.9
Jurickson Profar
2023 · MLB
30 50→56 45→55 48→50 58 .242/.329/.371 .129.273 1110 16% 11% 101 +1.8 .252/.342/.403 .151.283 157 16% 11% 115 +2.7 .257/.353/.419.161.28418716%11%121+2.9
Breyvic Valera
2021 · MLB
29 49→59 46→45 45→50 51 .239/.296/.366 .127.254 1411 13% 7% 85 +0.7 .243/.306/.365 .122.273 1114 15% 8% 89 +1.0 .251/.321/.360.109.28171513%9%94+0.6
Cord Phelps
2015 · MLB
28 48→58 44→50 43→45 50 .233/.296/.357 .123.275 117 20% 8% 82 +0.5 .218/.278/.303 .085.269 77 21% 8% 61 -1.0 .203/.264/.253.049.2554621%8%40-1.8
Adam Heether
2012 · AAA
30 41→51 46→50 48→45 49 .207/.295/.336 .129.251 148 23% 8% 79 +0.3 .201/.276/.315 .114.251 1310 25% 7% 65 -0.7 .171/.240/.260.089.212121025%7%32-1.2
Andy LaRoche
2014 · MLB
30 47→55 47→55 42→45 48 .233/.289/.365 .132.258 155 17% 6% 82 +0.5 .230/.279/.364 .134.266 156 19% 6% 78 +0.2 .218/.263/.337.119.25611019%4%61-0.4
Mark Payton
2022 · MLB
30 48→54 50→55 48→50 46 .243/.295/.403 .160.285 1710 21% 7% 95 +1.4 .241/.296/.385 .144.281 1411 19% 7% 90 +1.0 .246/.304/.388.142.288131019%7%92+1.0
Conor Gillaspie
2017 · MLB
30 51→58 46→50 40 48 .253/.301/.394 .141.283 124 16% 6% 94 +1.3 .233/.279/.362 .129.257 138 15% 6% 77 +0.1 .214/.250/.307.094.2348812%4%46-0.6
John Mayberry Jr.
2014 · MLB
30 47→48 52→55 46→50 47 .240/.297/.410 .170.281 208 22% 7% 98 +1.6 .216/.285/.374 .158.262 176 24% 8% 84 +0.6 .180/.259/.335.155.21217224%9%64-0.2
Luis Lopez
2001 · MLB
30 49 49→50 42→40 46 .248/.301/.402 .155.273 177 17% 5% 98 +1.6 .244/.297/.374 .130.281 135 18% 6% 88 +0.9 .234/.286/.342.108.2808119%5%70-0.1
Tony Abreu
2015 · MLB
30 51→61 44→50 47→45 40 .248/.282/.375 .127.290 107 18% 3% 82 +0.5 .236/.283/.348 .112.281 97 19% 4% 75 -0.0 .245/.290/.329.084.3014019%3%76+0.0
Marshall McDougall
2009 · AAA
30 45→55 49→55 46→45 41 .229/.262/.378 .149.264 165 21% 4% 74 -0.1 .247/.289/.401 .154.268 199 16% 5% 92 +1.2 .270/.318/.439.169.28723715%6%111+1.4