Taylor KohlweyLF Syracuse Mets
Age 32 L/L 6'2" / 200 lbs AAA H +5%HR +3% Svc 0.0 · Ctrl thru 2033 peak 0.2 · 2026
wRC+†98
AVG/OBP/SLG.239 / .320 / .370
PA170
HR4
K%24
BB%9
MLB%10%
BAT: -0.4 runs (wOBA-derived runs vs avg)-0BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.7 runs (Defensive runs vs avg)-1FLDPOS: -1.8 runs (Positional adjustment)-2POSREP: +4.8 runs (Replacement-level credit)+5REPTotal WAR: +0.20+0.2WAR
trajectory · 10 yrs
0.2peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2028
Service   0 yrs (est)
Team Control Through   2033
First FA Year   2034
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2028
2027MiLBstill in minors · estimated debut 2028
2028Pre-Arb$0.8M
2029Extbeyond projection horizon · no WAR estimate
2030Extbeyond projection horizon · no WAR estimate
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
Totals $-2M $-2M +$0.0M

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 A+2 teams 8983 21210 3292 42 .253.295.301.597 .048.389 333 .269 64 -4 +0 +0 -1 +3 -0.2
201723 A+Lake Elsinore Storm 344312 571131 181115 22 .183.239.247.486 .064.276 325 .215 23 -30 -0 +0 -4 +10 -2.5
201824 AA2 teams 294260 53848 20997 54 .204.279.358.636 .154.288 347 .277 70 -10 -1 +0 -3 +8 -0.5
201925 AA4 teams 415370 861234 321239 95 .232.309.314.623 .081.333 308 .281 74 -12 -0 +0 -4 +12 -0.5
202127 AAA2 teams 467424 1061735 361321 116 .250.310.340.650 .090.345 288 .290 80 -10 -0 +0 -5 +13 -0.2
202228 AAA2 teams 637566 1332638 5213112 104 .235.313.334.647 .099.289 218 .290 80 -14 +0 +0 -7 +18 -0.3
202329 AAAEl Paso Chihuahuas 518451 1042419 541128 155 .231.324.348.672 .118.284 2210 .303 90 -6 +1 -0 -6 +15 0.4
202430 AAASyracuse Mets 3735 3100 2160 00 .086.135.114.249 .029.158 435 .106 -61 -7 +0 +0 -0 +1 -0.6
▸ 2026 Season
202632 MLBNYM 170150 37814 16402 41 .247.327.393.721 .147.303 249 .313 98 -0 +0 -1 -2 +5 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202733 MLB 20%NYM 144128 30613 13352 21 .234.315.367.682 .133.300 249 .308 94 -1 +0 -5 -2 +4 -0.3
202834 MLB 33%NYM 117104 23502 11291 20 .221.302.327.629 .106.298 259 .302 90 -1 +0 -5 -1 +3 -0.4
▸ Career Totals (MLE all levels + projections)
Career 32322883 6531202044 25785749 6430 .227.301.328.629 .101.303 278 .282 74 -96 +1 -11 -35 +92 -5.0
/ 162G 650580 1312449 5217210 136 .226.301.328.629 .102.301 268 .282 74 -19 +0 -2 -7 +18 -1.0

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 A+Lake Elsinore Storm 5753 16220 3161 01 .302.351.415.766 .113.432 285 .342 120 +1 -0 +2 0.3
201622 AFort Wayne TinCaps 3228 10100 261 41 .357.419.393.812 .036.455 196 .361 135 +1 +0 +1 0.3
201723 A+Lake Elsinore Storm 344303 741551 27815 22 .244.316.337.653 .092.326 248 .290 80 -8 -0 +10 0.2
201824 AASan Antonio Missions 240204 54846 25586 44 .265.362.431.793 .167.338 2410 .349 125 +7 -1 +7 1.3
201824 A+Lake Elsinore Storm 5446 9302 5171 10 .196.288.391.680 .196.250 319 .294 83 -1 +0 +2 0.1
201925 AAAEl Paso Chihuahuas 2823 7200 341 10 .304.407.391.799 .087.350 1411 .354 129 +1 +0 +1 0.2
201925 AAAmarillo Sod Poodles 239203 561014 29546 63 .276.382.394.776 .118.359 2312 .354 129 +8 +0 +7 1.5
201925 A+Lake Elsinore Storm 7262 24221 7151 20 .387.457.532.989 .145.479 2110 .426 184 +7 +0 +2 0.9
201925 INTLCanberra Cavalry 7663 20415 1281 02 .317.434.6511.085 .333.300 1116 .465 214 +10 -1 +2 1.1
202127 AAAEl Paso Chihuahuas 383342 1091847 37840 93 .319.385.456.841 .137.400 2210 .372 143 +18 +1 +11 3.0
202127 AASan Antonio Missions 8467 18501 14141 23 .269.402.388.790 .119.315 1717 .356 130 +3 -1 +2 0.5
202228 AAAEl Paso Chihuahuas 587501 14932411 689111 93 .297.393.443.836 .146.341 1612 .372 143 +28 +1 +17 4.6
202228 INTLTigres del Licey 5039 8100 1081 11 .205.380.231.611 .026.258 1620 .307 93 -0 -0 +1 0.1
202329 AAAEl Paso Chihuahuas 518428 11829212 75868 155 .276.392.437.829 .161.316 1714 .370 141 +24 +1 +15 4.1
202430 AAASyracuse Mets 3734 3100 3130 00 .088.162.118.280 .029.143 358 .140 -34 -6 +0 +1 -0.5

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
Taylor Kohlwey (OGILVIE) 32 .239/.320/.370 .131.303 44 24% 9% 98 +0.5
Preston Tucker
2022 · AAA
32 47→45 44→55 47→40 47 .230/.281/.353 .124.261 1110 17% 6% 76 +0.0 .238/.311/.390 .152.282 176 21% 8% 98 +1.6 .236/.321/.394.158.27718221%9%102+0.9
Ezequiel Carrera
2018 · MLB
31 53→63 44→45 50→60 49 .257/.323/.369 .112.317 1215 22% 8% 98 +1.6 .225/.284/.332 .107.290 1119 25% 7% 72 -0.2 .169/.205/.225.056.22333625%4%6-1.3
Michael Tucker
2004 · MLB
33 50→52 49→55 51→55 53 .250/.323/.413 .163.292 1617 20% 9% 108 +2.3 .247/.333/.395 .148.291 1410 19% 11% 108 +2.3 .238/.335/.372.134.28012918%12%99+1.2
Cole Gillespie
2016 · MLB
32 52→57 42→50 52→50 50 .253/.311/.364 .111.298 913 18% 8% 90 +1.0 .235/.288/.333 .098.291 611 20% 7% 72 -0.2 .217/.272/.301.084.2794722%7%56-0.4
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
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
Travis Snider
2021 · AAA
33 46→53 46→55 47→50 48 .225/.301/.361 .136.308 138 30% 10% 86 +0.8 .203/.277/.327 .124.336 1311 40% 9% 68 -0.5 .135/.229/.231.096.24712946%10%24-1.0
Chad Huffman
2017 · AAA
32 48→50 51→50 49→45 48 .241/.317/.411 .171.286 1812 22% 8% 107 +2.2 .226/.304/.379 .153.282 166 25% 8% 93 +1.3 .212/.295/.356.144.26916126%8%80+0.2
Mike Tauchman
2023 · MLB
32 45→55 44→55 49→55 51 .217/.306/.336 .119.294 1113 28% 10% 82 +0.5 .246/.346/.376 .130.310 139 23% 13% 110 +2.4 .248/.354/.375.127.31013622%13%110+1.7
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
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
Chris Dickerson
2015 · MLB
33 51→55 47→50 54→60 46 .245/.316/.386 .141.334 1319 29% 9% 99 +1.7 .240/.308/.366 .126.334 1218 29% 8% 91 +1.1 .224/.305/.328.104.32091730%9%76+0.0
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
Will Venable
2015 · MLB
32 49→56 49→55 55→60 47 .246/.304/.397 .151.297 1621 23% 7% 97 +1.5 .226/.290/.340 .114.287 1116 24% 8% 76 +0.1 .213/.281/.306.093.27591724%8%58-0.7
Ricky Ledee
2007 · MLB
33 49→47 50→60 50 51 .245/.316/.405 .160.286 176 21% 9% 104 +2.0 .228/.285/.367 .139.279 165 24% 7% 82 +0.5 .215/.269/.337.122.26515225%6%65-0.4
Brian Bogusevic
2017 · MLB
33 51→55 45 52→55 43 .252/.301/.375 .122.314 1318 24% 6% 89 +1.0 .247/.289/.390 .143.300 1611 23% 5% 89 +0.9 .251/.291/.401.150.29817622%4%89+0.5
Juan Lagares
2021 · MLB
32 49→59 44→45 50 47 .239/.302/.359 .120.303 1111 24% 8% 86 +0.8 .227/.269/.354 .127.284 116 23% 5% 70 -0.3 .229/.259/.363.134.28411223%4%67-0.3
Brennan Boesch
2016 · MLB
31 48→55 48→55 48→50 40 .241/.279/.385 .144.303 169 26% 5% 83 +0.6 .228/.269/.351 .123.280 149 23% 5% 70 -0.3 .199/.235/.302.103.22613619%4%42-0.6
Darren Bragg
2002 · MLB
32 49 45 49→50 48 .236/.305/.365 .129.314 1115 27% 9% 89 +1.0 .244/.315/.362 .118.314 911 23% 9% 92 +1.2 .239/.311/.346.108.3058923%9%83+0.2
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