Kyle Farmer2B Colorado Rockies
Age 35 R/R 5'11" / 205 lbs MLB H +10%K -4% Svc 7.750 · Ctrl thru 2026 peak 1.0 · 2026
wRC+†vL 11491vR 49
AVG/OBP/SLG.232 / .298 / .380
PA277
HR8
K%21
BB%7
MLB%100%
BAT: -2.7 runs (wOBA-derived runs vs avg)-3BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +2.1 runs (Defensive runs vs avg)+2FLDPOS: +3.0 runs (Positional adjustment)+3POSREP: +7.8 runs (Replacement-level credit)+8REPTotal WAR: +1.00+1.0WAR
Scouting · nowfuture
HIT
4545
PWR
4545
SPD
4040
EYE
4545
trajectory · 10 yrs
0.4peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2017
Service   7.750 yrs.days
Team Control Through   2026
First FA Year   2027
OPT
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$1M+1.0$8M+$7M
Totals $1M $8M +$7M
Options · projected decision
2027MUTUAL OPT$2026.0M / $0.0M buyoutDECLINE
2028MUTUAL OPT$4.0M / $0.0M buyoutDECLINE

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
201322 ROKOgden Raptors 184170 451403 4306 11 .265.306.400.706 .135.298 162 .299 87 -3 -0 +0 +2 +5 0.4
201423 A2 teams 395366 851632 18646 113 .232.279.309.588 .077.274 165 .259 57 -19 +1 +0 +4 +11 -0.3
201524 AA3 teams 549513 1293653 1912010 53 .251.292.359.650 .107.317 223 .283 75 -16 -0 +0 +6 +16 0.6
201625 AA2 teams 315290 681626 19593 20 .234.288.366.654 .131.272 196 .287 78 -8 +0 +0 +3 +9 0.5
201726 AAA3 teams 401377 991908 19674 14 .263.305.377.682 .114.300 175 .298 86 -6 -1 +0 -7 +11 -0.4
201827 AAA2 teams 389361 822125 17827 11 .227.275.338.613 .111.277 214 .266 62 -17 -0 +1 +1 +11 -0.3
201928 MLBCincinnati Reds 197183 42609 10593 41 .230.281.410.690 .180.284 305 .297 85 -3 +0 +2 +1 +6 0.5
202029 MLBCincinnati Reds 7064 16300 5131 10 .250.314.297.611 .047.314 197 .278 71 -2 +0 +2 +1 +2 0.3
202130 MLBCincinnati Reds 529483 11920215 229718 23 .246.304.389.693 .143.277 184 .303 90 -6 -1 +7 +6 +15 2.1
202231 MLBCincinnati Reds 583526 13221114 339916 43 .251.315.375.689 .124.282 176 .300 88 -8 -0 +2 +6 +17 1.7
202332 MLB2 teams 384350 9115213 24918 24 .260.322.426.748 .166.315 246 .328 109 +4 -1 +3 +1 +11 1.8
202433 MLBMinnesota Twins 242215 441215 19496 35 .205.287.340.627 .135.239 208 .275 69 -9 -1 +4 +1 +7 0.2
202534 MLBColorado Rockies 300277 581308 17664 01 .209.265.343.608 .134.244 226 .271 66 -12 -0 -4 +1 +8 -0.6
▸ 2026 Season
202635 MLBCOL 277251 601318 19595 21 .239.305.394.700 .155.275 217 .305 91 -3 +0 +2 +3 +8 1.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202736 MLBCOL 209189 43915 14474 10 .228.295.365.660 .138.272 227 .294 84 -4 +0 -5 +2 +6 -0.0
202837 MLBCOL 147133 29613 10353 10 .218.288.346.634 .128.267 247 .283 75 -4 +0 -6 +2 +4 -0.4
▸ Career Totals (MLE all levels + projections)
Career 51714748 114224021107 2691037104 4130 .241.296.368.663 .127.284 205 .290 80 -115 -4 +9 +33 +147 7.1
/ 162G 650597 14330313 3413013 54 .240.295.365.660 .126.283 205 .290 80 -14 -1 +1 +4 +18 0.9

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
201322 ROKOgden Raptors 184167 581904 7216 11 .347.394.533.927 .186.370 114 .400 165 +13 -0 +5 1.9
201423 A+Rancho Cucamonga Quakes 146130 31510 10283 20 .238.308.292.600 .054.301 197 .273 67 -5 +0 +4 -0.1
201423 AGreat Lakes Loons 249229 711642 15243 93 .310.360.441.801 .131.337 106 .354 129 +8 +1 +7 1.6
201524 AATulsa Drillers 305283 772612 14554 01 .272.316.392.708 .120.326 185 .312 97 -1 -0 +9 0.7
201524 A+Rancho Cucamonga Quakes 182163 551461 12255 52 .337.400.515.915 .178.388 147 .399 163 +13 +0 +5 1.9
201524 INTLGlendale Desert Dogs 6258 17702 2111 00 .293.328.517.845 .224.326 183 .363 136 +3 +0 +2 0.4
201625 AATulsa Drillers 297266 681825 25443 20 .256.327.395.721 .139.286 158 .321 104 +1 +0 +8 1.0
201625 ROKAZL Dodgers 1817 5002 110 00 .294.333.647.980 .353.214 66 .421 180 +2 +0 +1 0.2
201726 MLBLos Angeles Dodgers 2020 6100 030 00 .300.300.350.650 .050.353 150 .290 80 -0 +0 +0 -7 +1 -0.7
201726 AAAOklahoma City Dodgers 240223 681617 13364 04 .305.354.480.834 .175.339 155 .369 141 +11 -2 +7 1.7
201726 AATulsa Drillers 141124 42703 16130 10 .339.414.468.882 .129.358 911 .393 159 +9 +0 +4 1.4
201827 MLBLos Angeles Dodgers 7768 16410 5153 00 .235.316.324.639 .088.296 196 .291 81 -2 +0 +1 +1 +2 0.3
201827 AAAOklahoma City Dodgers 312288 832417 17504 11 .288.337.451.788 .163.325 165 .346 123 +8 -0 +9 1.7
201928 MLBCincinnati Reds 197183 42609 10593 41 .230.281.410.690 .180.284 305 .305 91 -2 +0 +2 +1 +6 0.7
202029 MLBCincinnati Reds 7064 17300 5131 10 .266.329.312.641 .047.333 197 .296 85 -1 +0 +2 +1 +2 0.4
202130 MLBCincinnati Reds 529483 12722216 229718 23 .263.319.416.735 .153.296 184 .325 107 +4 -1 +7 +6 +15 3.2
202231 MLBCincinnati Reds 583526 13425114 339916 43 .255.318.386.704 .131.286 176 .313 98 -1 -0 +2 +6 +17 2.4
202332 MLBMinnesota Twins 369336 8614211 23868 24 .256.319.408.727 .152.311 236 .324 106 +2 -1 +3 +1 +10 1.6
202332 AAASt. Paul Saints 1513 4201 240 00 .308.400.6921.092 .385.375 2713 .463 213 +2 +0 +0 0.2
202433 MLBMinnesota Twins 242215 461315 19496 35 .214.296.353.649 .140.252 208 .293 82 -5 -1 +4 +1 +7 0.6
202534 MLBColorado Rockies 300277 631408 17664 01 .227.282.365.647 .137.268 226 .288 79 -7 -0 -4 +1 +8 -0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career 23872172 537102763 13448759 1617 .247.309.388.696 .140.289 206 .310 96 -12 -4 +17 +11 +68 8.2

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
Kyle Farmer (OGILVIE) 35 45 45 40 45 .232/.298/.380 .147.275 82 21% 7% 91 +0.5
Anthony Recker
2018 · MLB
34 42→48 47→50 49→45 44 .210/.284/.344 .134.285 145 30% 8% 76 +0.0 .215/.278/.370 .155.292 185 31% 7% 79 +0.3 .196/.261/.371.175.25722032%7%69-0.2
Nick Hundley
2019 · MLB
35 48→45 53→55 46→40 44 .247/.297/.424 .177.303 204 25% 7% 102 +1.8 .227/.279/.384 .157.303 186 30% 6% 83 +0.6 .167/.203/.288.122.23914036%4%25-0.8
Jonathan Aceves
2013 · AAA
35 44 49→55 41→30 42 .227/.275/.375 .148.279 185 26% 6% 79 +0.3 .223/.277/.366 .143.268 184 24% 6% 78 +0.2 .243/.313/.364.121.28914120%7%90+0.5
Dioner Navarro
2019 · MLB
35 44→54 46→50 45 48 .220/.282/.348 .128.260 147 22% 8% 75 -0.0 .225/.302/.343 .118.278 128 22% 9% 82 +0.5 .182/.269/.232.050.2335022%10%38-0.5
John Buck
2014 · MLB
34 42→52 51→55 43→30 51 .219/.300/.370 .151.258 203 24% 9% 89 +1.0 .232/.300/.359 .127.289 155 24% 8% 85 +0.7 .238/.300/.312.074.3116024%7%70-0.1
Issmael Salas
2017 · AAA
35 50→51 44→50 42→50 44 .246/.286/.361 .114.277 117 16% 5% 79 +0.3 .245/.292/.370 .125.268 136 14% 5% 85 +0.7 .249/.297/.371.121.26614312%5%85+0.5
Russ Johnson
2007 · MLB
34 48→47 48→50 41→45 53 .240/.308/.384 .144.265 156 16% 9% 95 +1.4 .233/.295/.363 .130.252 147 14% 8% 85 +0.7 .226/.288/.344.118.23812611%8%73-0.1
Jamie Burke
2008 · MLB
36 50→48 44→45 39→30 46 .242/.293/.357 .115.269 113 15% 5% 82 +0.5 .231/.279/.325 .094.269 85 17% 5% 67 -0.5 .211/.260/.275.064.2554118%5%44-0.5
Gerald Laird
2014 · MLB
34 54→47 42→50 45→50 54 .257/.327/.366 .110.292 86 15% 8% 98 +1.6 .234/.303/.331 .097.283 76 19% 8% 79 +0.3 .203/.274/.256.053.2590020%8%37-0.7
John Flaherty
2003 · MLB
35 51→53 44→45 43→40 46 .249/.287/.370 .121.276 114 15% 5% 82 +0.5 .240/.281/.389 .149.270 165 17% 5% 85 +0.7 .218/.254/.375.156.23919018%4%65-0.1
Matt Treanor
2012 · MLB
36 45 41→40 40 56 .216/.313/.306 .090.257 96 19% 11% 79 +0.3 .216/.312/.331 .115.267 118 22% 11% 84 +0.6 .161/.271/.266.105.20110524%11%41-0.5
Nick Green
2013 · MLB
34 43→47 46→50 41→45 41 .219/.266/.354 .135.264 145 23% 4% 70 -0.3 .206/.253/.324 .118.265 136 27% 4% 56 -1.3 .168/.216/.255.087.22311129%4%20-2.6
Iker Franco
2015 · AAA
34 47 43→50 44→40 47 .234/.288/.337 .103.282 123 22% 7% 74 -0.1 .246/.300/.345 .099.299 114 20% 7% 81 +0.4 .251/.305/.347.097.30512121%7%81+0.2
Brendan Harris
2015 · MLB
34 47→57 45→50 42→45 52 .232/.308/.359 .127.270 125 19% 9% 89 +0.9 .224/.300/.328 .104.269 107 20% 9% 78 +0.2 .209/.302/.276.067.2515017%10%64-0.2
Mike DiFelice
2003 · MLB
34 44 45→50 45→30 46 .222/.280/.350 .128.267 134 22% 7% 75 -0.0 .228/.289/.365 .137.269 135 20% 7% 82 +0.5 .220/.284/.348.129.26713222%7%75-0.0
Drew Butera
2019 · MLB
35 45 46→40 47→40 47 .224/.287/.351 .127.274 134 23% 8% 78 +0.2 .204/.274/.319 .115.273 116 28% 8% 65 -0.7 .174/.252/.278.105.24611532%8%45-1.0
Matt McBride
2019 · MLB
34 40→50 50→55 42→40 45 .211/.268/.372 .161.245 184 23% 6% 76 +0.0 .216/.266/.391 .175.257 236 26% 6% 80 +0.4 .184/.222/.370.186.19930027%4%53-0.4
Adam Rosales
2018 · MLB
35 43→48 50→55 44→45 42 .222/.283/.377 .155.300 188 32% 7% 83 +0.6 .206/.259/.346 .140.270 175 29% 6% 65 -0.7 .187/.237/.314.128.24016329%5%45-1.3
Said Gutierrez
2014 · AAA
34 47 47→50 46→40 45 .237/.288/.375 .138.270 157 19% 6% 85 +0.7 .232/.274/.349 .117.263 155 18% 5% 72 -0.2 .234/.271/.316.082.27812020%3%59-0.4
Greg Dobbs
2013 · MLB
35 52→56 44→55 45→50 45 .255/.295/.371 .117.295 125 18% 5% 86 +0.8 .238/.291/.334 .096.282 95 18% 6% 75 -0.0 .215/.275/.281.066.2615119%6%44-0.7