Jesse WinkerLF New York Mets
Age 32 L/L 6'2" / 206 lbs MLB H +5%HR +3% Svc 9.000 · Ctrl thru 2026 peak 0.4 · 2026
wRC+†vL 93108vR 121
AVG/OBP/SLG.235 / .339 / .378
PA303
HR7
SB5
K%22
BB%12
MLB%100%
BAT: +2.8 runs (wOBA-derived runs vs avg)+3BATRUN: -0.3 runs (SB/CS + UBR baserunning)-0RUNFLD: -4.0 runs (Defensive runs vs avg)-4FLDPOS: -3.2 runs (Positional adjustment)-3POSREP: +8.6 runs (Replacement-level credit)+9REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
HIT
5050
PWR
4545
SPD
4040
EYE
6360
trajectory · 10 yrs
0.7peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2017
Service   9.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$2M+0.4$2M-$0.7M
Totals $2M $2M -$0.7M

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
201218 ROKBillings Mustangs 275245 631224 23724 12 .257.331.371.702 .114.347 268 .308 94 -2 -1 +0 -3 +8 0.2
201319 ADayton Dragons 486437 10215511 43934 61 .233.308.366.674 .133.272 199 .297 85 -8 +1 +0 -5 +14 0.1
201420 A+3 teams 425370 8320013 481151 63 .224.315.384.699 .159.282 2711 .309 95 -3 +0 +0 -5 +12 0.5
201521 AAPensacola Blue Wahoos 526472 12424212 451106 84 .263.335.398.733 .136.317 219 .322 105 +3 +0 +0 -6 +15 1.2
201622 AAA2 teams 463415 1191804 39784 00 .287.354.359.713 .072.340 178 .324 106 +3 +0 +0 -5 +13 1.2
201723 AAA2 teams 484434 1182508 39805 35 .272.339.385.724 .113.313 178 .321 104 +2 -1 -1 -5 +14 0.9
201824 MLBCincinnati Reds 334281 821406 49462 00 .292.401.406.806 .114.330 1415 .349 125 +9 +0 -6 -4 +9 1.0
201925 MLBCincinnati Reds 384338 9117216 38608 02 .269.357.473.830 .204.286 1610 .359 133 +14 -1 -7 -4 +11 1.3
202026 MLBCincinnati Reds 183149 367011 28465 10 .242.379.510.889 .268.269 2515 .375 145 +9 +0 -1 -2 +5 1.2
202127 MLBCincinnati Reds 485423 12029122 53759 10 .284.375.513.888 .229.301 1511 .383 152 +28 +0 -8 -5 +14 3.0
202228 MLBSeattle Mariners 547456 10215014 841034 00 .224.349.349.698 .125.257 1915 .315 99 -0 +0 -9 -6 +15 0.0
202329 MLB3 teams 305257 56905 43704 03 .218.339.311.650 .093.279 2314 .297 85 -5 -1 -0 -3 +9 -0.1
202430 MLBNew York Mets 508430 11123014 6310610 144 .258.366.409.775 .151.310 2112 .336 115 +9 +1 -7 -5 +14 1.2
202531 MLBNew York Mets 8170 16521 9210 10 .229.316.400.716 .171.300 2611 .298 86 -1 +0 -0 -1 +2 0.0
▸ 2026 Season
202632 MLBNYM 303258 611317 37665 52 .236.343.376.719 .140.286 2212 .327 108 +3 +0 -4 -3 +9 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202733 MLBNYM 273234 541116 33614 41 .231.336.363.699 .132.285 2212 .321 104 +1 +0 -8 -3 +8 -0.1
202834 MLBNYM 230197 45915 28543 21 .228.333.360.694 .132.283 2312 .314 99 -0 +0 -8 -2 +7 -0.4
202935 MLBNYM 180154 35714 21443 10 .227.331.364.695 .136.280 2412 .306 93 -2 +0 -8 -2 +5 -0.6
▸ Career Totals (MLE all levels + projections)
Career 64725620 141827318163 723130081 5328 .252.346.394.740 .142.299 2011 .327 108 +61 -1 -66 -69 +183 11.0
/ 162G 650564 14227216 731318 53 .252.346.392.738 .140.299 2011 .327 108 +6 -0 -7 -7 +18 1.1

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
201218 ROKBillings Mustangs 275228 771635 40504 12 .338.445.500.945 .162.414 1815 .417 177 +24 -1 +8 3.2
201319 ADayton Dragons 486417 11718516 63754 61 .281.380.463.843 .182.308 1513 .374 145 +25 +1 +14 4.0
201420 AAPensacola Blue Wahoos 9277 16502 14220 00 .208.330.351.680 .143.259 2415 .310 95 -0 +0 +3 0.2
201420 A+Bakersfield Blaze 249205 6515013 40461 51 .317.431.5801.011 .263.349 1816 .435 191 +26 +1 +7 3.4
201420 INTLSurprise Saguaros 8468 23413 14170 12 .338.451.5591.010 .221.400 2017 .433 189 +8 -1 +2 1.0
201521 AAPensacola Blue Wahoos 526443 12524213 74836 84 .282.392.433.825 .151.320 1614 .371 142 +25 +0 +15 4.1
201622 AAALouisville Bats 448380 1152203 59594 00 .303.402.384.786 .082.347 1313 .357 132 +16 +0 +13 2.9
201622 ROKAZL Reds 1513 6002 240 00 .462.533.9231.456 .462.571 2713 .612 326 +4 +0 +0 0.4
201723 MLBCincinnati Reds 137121 36707 15240 11 .298.375.529.904 .231.322 1811 .394 159 +9 -0 -1 -5 +4 0.7
201723 AAALouisville Bats 347299 942202 38465 24 .314.401.408.809 .094.359 1311 .363 136 +14 -1 +10 2.3
201824 MLBCincinnati Reds 334281 841607 49462 00 .299.407.431.837 .132.336 1415 .377 147 +18 +0 -6 -4 +9 1.8
201925 MLBCincinnati Reds 384338 9117216 38608 02 .269.357.473.830 .204.286 1610 .368 140 +17 -1 -7 -4 +11 1.6
202026 MLBCincinnati Reds 183149 387012 28465 10 .255.390.544.934 .289.283 2515 .406 169 +14 +0 -1 -2 +5 1.7
202127 MLBCincinnati Reds 485423 12932124 53759 10 .305.394.556.949 .251.324 1511 .415 176 +42 +0 -8 -5 +14 4.3
202228 MLBSeattle Mariners 547456 10015014 841034 00 .219.346.344.690 .125.251 1915 .318 102 +1 +0 -9 -6 +15 0.2
202329 MLBMilwaukee Brewers 197166 33501 26514 00 .199.321.247.568 .048.278 2613 .274 68 -7 +0 -0 -3 +6 -0.5
202329 AAANashville Sounds 9370 20304 23130 03 .286.462.500.962 .214.302 1425 .430 187 +9 -1 +3 1.1
202329 A+Wisconsin Timber Rattlers 1513 5100 220 00 .385.467.462.928 .077.455 1313 .420 180 +1 +0 +0 0.2
202430 MLBNew York Mets 508430 10923014 6310610 144 .253.362.405.766 .151.304 2112 .345 122 +13 +1 -7 -5 +14 1.6
202531 MLBNew York Mets 8170 16521 9210 10 .229.316.400.716 .171.300 2611 .312 97 -0 +0 -0 -1 +2 0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career 28562434 636127596 36553242 187 .261.367.436.803 .175.297 1913 .359 133 +106 +1 -39 -35 +81 11.6

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
Jesse Winker (OGILVIE) 32 50 45 40 60 .235/.339/.378 .143.286 75 22% 12% 108 +1.2
Ben Gamel
2023 · MLB
31 49→59 47→50 42→50 54 .239/.329/.382 .143.305 146 25% 11% 104 +2.0 .237/.328/.387 .150.315 167 27% 11% 105 +2.1 .230/.327/.384.153.31816630%12%100+0.8
Todd Hollandsworth
2005 · MLB
32 55→56 52→55 43→50 52 .274/.339/.456 .182.318 188 20% 9% 126 +3.5 .251/.304/.409 .158.297 166 20% 7% 100 +1.7 .243/.288/.393.150.28914421%6%85+0.3
Yonder Alonso
2018 · MLB
31 52→57 51→55 42→45 57 .263/.343/.426 .164.294 184 18% 11% 121 +3.2 .240/.319/.408 .168.277 213 21% 10% 107 +2.2 .225/.306/.379.154.25920021%10%88+0.7
Mike Kinkade
2005 · MLB
32 50→60 50 42→45 49 .252/.353/.411 .160.293 178 20% 7% 123 +3.3 .261/.332/.400 .139.301 138 17% 5% 110 +2.4 .273/.341/.408.135.31612717%4%114+1.9
Daniel Descalso
2019 · MLB
32 48→54 51→50 49→45 59 .240/.341/.410 .170.294 175 23% 13% 116 +2.8 .204/.303/.343 .139.274 146 29% 12% 83 +0.6 .151/.255/.234.083.2079530%12%33-1.1
Nick Martini
2023 · MLB
33 48→58 47→55 46→45 48 .237/.318/.372 .135.301 157 25% 8% 97 +1.5 .231/.312/.396 .165.282 193 24% 9% 101 +1.8 .218/.306/.374.155.26317023%9%90+0.7
Shane Spencer
2004 · MLB
32 50 48→50 44→45 52 .249/.323/.394 .145.290 164 20% 9% 104 +2.0 .254/.321/.395 .141.300 1510 20% 8% 103 +1.9 .275/.328/.402.127.324121818%6%106+0.7
David Murphy
2014 · MLB
32 52→60 49→55 43→50 55 .259/.324/.413 .154.277 169 14% 9% 109 +2.4 .258/.313/.398 .140.282 144 14% 7% 101 +1.8 .267/.318/.393.126.29212113%7%97+1.1
Aaron Guiel
2005 · MLB
32 46→53 51→60 36→45 50 .237/.314/.402 .165.272 186 20% 8% 103 +1.9 .233/.315/.424 .191.266 236 22% 8% 109 +2.4 .228/.313/.423.195.25824422%8%107+2.1
Matt Joyce
2016 · MLB
31 46→56 48→60 38→50 56 .230/.323/.377 .147.275 155 22% 11% 100 +1.7 .234/.342/.420 .186.275 224 22% 14% 119 +3.1 .231/.347/.434.202.26125321%15%118+1.9
Eric Hosmer
2022 · MLB
32 53→63 49→55 42→50 48 .266/.324/.414 .147.311 176 20% 7% 110 +2.4 .258/.322/.383 .125.299 135 18% 8% 100 +1.7 .257/.320/.365.108.29911017%8%89+0.4
Ryan Spilborghs
2012 · MLB
32 51→61 46→50 43→50 51 .248/.319/.382 .134.300 139 21% 9% 99 +1.7 .250/.311/.368 .118.319 118 24% 7% 92 +1.2 .255/.314/.363.107.3329724%6%92+1.0
Jason Michaels
2007 · MLB
31 56→55 45→50 43→45 55 .272/.347/.398 .126.320 118 18% 10% 115 +2.7 .253/.319/.388 .135.298 137 19% 8% 101 +1.8 .240/.309/.382.142.28315520%8%92+0.5
Daniel Nava
2015 · MLB
32 55→61 44→50 42→45 53 .266/.349/.386 .120.319 115 19% 9% 113 +2.6 .251/.333/.349 .098.310 96 20% 9% 97 +1.5 .249/.341/.329.080.3106420%10%93+0.5
Clint Robinson
2017 · MLB
32 50→58 47→55 47→40 53 .247/.321/.383 .136.284 152 19% 9% 100 +1.7 .219/.279/.360 .141.274 173 26% 7% 77 +0.1 .198/.252/.341.143.25318029%6%58-1.0
Robert Fick
2006 · MLB
32 51→54 46→55 43→40 57 .250/.324/.383 .133.266 143 12% 10% 102 +1.8 .246/.316/.349 .103.285 106 17% 9% 89 +1.0 .244/.312/.314.071.2927418%8%74-0.0
Chris Coghlan
2018 · MLB
33 47→57 48→50 48→55 56 .233/.322/.383 .150.278 148 21% 11% 102 +1.8 .216/.293/.342 .126.263 126 22% 9% 79 +0.3 .189/.263/.303.113.22811321%8%51-0.7
Seth Smith
2015 · MLB
32 52→56 49→60 43→50 57 .255/.345/.415 .160.302 143 20% 11% 118 +3.0 .253/.341/.429 .176.299 182 20% 11% 121 +3.2 .250/.338/.431.181.29420121%10%113+1.8
Rafael Ortega
2023 · MLB
32 49→54 49→55 48→55 54 .245/.324/.392 .147.288 1618 21% 10% 105 +2.1 .225/.314/.362 .137.275 1421 22% 11% 92 +1.2 .212/.311/.341.129.261142623%12%84+0.4
Jon Weber
2010 · AAA
32 49→54 48→50 42→50 46 .245/.300/.393 .148.299 148 23% 7% 94 +1.3 .233/.289/.349 .116.290 99 22% 7% 78 +0.2 .226/.280/.298.072.28021019%7%56-0.6