Mike Ford1B St. Paul Saints
Age 34 L/R 6'0" / 225 lbs AAA BB +3% Svc 7.000 · Ctrl thru 2026
wRC+†89
AVG/OBP/SLG.203 / .287 / .383
PA260
HR11
K%26
BB%9
MLB%10%
BAT: -3.4 runs (wOBA-derived runs vs avg)-3BATRUN: -1.0 runs (SB/CS + UBR baserunning)-1RUNFLD: -0.9 runs (Defensive runs vs avg)-1FLDPOS: -4.6 runs (Positional adjustment)-5POSREP: +7.4 runs (Replacement-level credit)+7REPTotal WAR: -0.20-0.2WAR
Scouting · nowfuture
HIT
4545
PWR
6060
SPD
4545
EYE
4960

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$1M
Totals $1M $-0.8M -$2M

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
201422 A2 teams 433394 10015213 31635 20 .254.316.401.717 .147.271 157 .309 95 -2 +0 +0 -8 +12 0.3
201523 A+Tampa Yankees 500452 982126 431040 10 .217.285.312.597 .095.265 219 .268 63 -21 +0 +0 -9 +14 -1.6
201624 AA2 teams 221192 521007 25381 01 .271.358.432.790 .161.300 1711 .348 124 +6 -0 +0 -4 +6 0.8
201725 AA3 teams 576498 12526119 68986 10 .251.348.422.770 .171.275 1712 .338 117 +11 +0 +0 -10 +16 1.8
201826 AAAScranton/Wilkes-Barre RailRiders 410380 8117012 24844 10 .213.267.353.620 .139.241 206 .272 66 -16 +0 +0 -7 +12 -1.1
201927 AAA2 teams 512454 11524031 46948 01 .253.333.511.844 .258.252 189 .356 131 +18 -0 -1 -9 +15 2.2
202028 MLBNew York Yankees 8474 8301 7162 00 .108.205.189.394 .081.121 198 .204 14 -8 +0 -2 -1 +2 -0.9
202129 AAA2 teams 379341 578115 331224 10 .167.249.328.577 .161.205 329 .250 49 -22 +0 -0 -7 +11 -1.8
202230 MLB2 teams 286251 511204 33622 00 .203.301.299.600 .096.254 2212 .272 67 -11 +0 -1 -5 +8 -0.9
202331 MLB2 teams 462402 9616125 4711911 20 .239.335.470.805 .231.273 2610 .350 126 +14 +0 +0 -8 +13 2.0
202432 AAA2 teams 167155 31315 10391 20 .200.253.329.582 .129.232 236 .268 63 -7 +0 +1 -3 +5 -0.4
202533 AAASt. Paul Saints 191172 36705 18571 02 .209.288.337.625 .128.282 309 .274 68 -7 -1 +0 -3 +5 -0.6
▸ 2026 Season
202634 MLBMIN 260230 478111 24684 21 .204.291.391.682 .187.237 269 .301 89 -3 +0 -1 -5 +7 -0.2
▸ Career Totals (MLE all levels + projections)
Career 44813995 8971709154 40996449 125 .225.304.387.692 .163.256 229 .304 91 -48 +0 -4 -80 +127 -0.4
/ 162G 650580 13025122 591407 21 .224.303.384.688 .160.256 229 .304 91 -7 +0 -1 -12 +18 -0.1

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
201422 A+Tampa Yankees 5248 17402 470 00 .354.404.562.966 .208.385 138 .424 183 +5 +0 +1 0.6
201422 ACharleston RiverDogs 381325 9215211 48395 20 .283.384.443.827 .160.291 1013 .369 140 +17 +0 +11 2.9
201523 A+Tampa Yankees 500435 1132336 60750 10 .260.349.368.717 .108.298 1512 .324 106 +3 +0 +14 1.8
201624 AATrenton Thunder 180143 401005 34251 00 .280.421.455.876 .175.304 1419 .391 157 +12 +0 +5 1.7
201624 A+Tampa Yankees 4135 13102 540 01 .371.450.5711.021 .200.367 1012 .439 194 +4 -0 +1 0.5
201725 AAAScranton/Wilkes-Barre RailRiders 11594 25507 18161 00 .266.389.543.932 .277.247 1416 .400 165 +8 +0 +3 1.2
201725 AATrenton Thunder 417335 9119113 76564 10 .272.412.451.863 .179.291 1318 .387 155 +26 +0 +12 3.8
201725 INTLEstrellas Orientales 4438 6200 581 00 .158.273.211.483 .053.200 1811 .237 39 -3 +0 +1 -0.2
201826 AAAScranton/Wilkes-Barre RailRiders 410367 9321015 37704 10 .253.328.433.762 .180.275 179 .338 117 +8 +0 +12 2.0
201927 MLBNew York Yankees 163143 377012 17283 00 .259.350.559.909 .301.243 1710 .395 160 +11 +0 -1 -9 +5 0.6
201927 AAAScranton/Wilkes-Barre RailRiders 349294 8920023 46555 01 .303.406.6051.011 .303.300 1613 .432 189 +35 -0 +10 4.6
202028 MLBNew York Yankees 8474 10402 7162 00 .135.229.270.499 .135.140 198 .229 34 -6 +0 -2 -1 +2 -0.7
202129 MLBNew York Yankees 7260 8003 11231 00 .133.278.283.561 .150.147 3215 .266 62 -3 +0 -0 -7 +2 -0.8
202129 AAARochester Red Wings 307268 5710114 35813 10 .213.310.414.725 .201.247 2611 .323 105 +2 +0 +9 1.1
202230 MLBLos Angeles Angels 149131 27503 17401 00 .206.302.313.615 .107.273 2711 .285 76 -4 +0 -1 -5 +4 -0.6
202230 AAASalt Lake Bees 137113 28802 23171 00 .248.380.372.751 .124.277 1217 .347 124 +4 +0 +4 0.8
202331 MLBSeattle Mariners 251219 506016 24817 00 .228.324.475.799 .247.276 3210 .352 127 +8 +0 +0 -8 +7 0.7
202331 AAATacoma Rainiers 211172 5211113 34304 20 .302.429.6051.033 .302.300 1416 .445 199 +24 +0 +6 3.1
202432 MLBCincinnati Reds 6260 9011 2150 00 .150.177.233.411 .083.182 243 .184 -1 -7 +0 +1 -3 +2 -0.8
202432 AAALouisville Bats 10591 27406 12201 20 .297.385.538.923 .242.318 1911 .401 165 +8 +0 +3 1.1
202533 AAASt. Paul Saints 191163 39808 27471 02 .239.351.436.786 .196.287 2514 .352 128 +6 -1 +5 1.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career 781687 14122137 7820314 00 .205.299.402.701 .197.232 2610 .314 98 -2 +0 -3 -34 +22 -1.7

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 Ford (OGILVIE) 34 45 60 45 60 .203/.287/.383 .181.237 112 26% 9% 89 +0.4
Scott McClain
2006 · MLB
34 43→45 57→55 45→40 45 .234/.288/.432 .198.261 265 23% 6% 100 +1.7 .218/.273/.396 .178.251 245 24% 7% 84 +0.6 .215/.275/.391.176.24424424%7%82+0.5
Dan Johnson
2014 · MLB
34 43→53 54→60 45→30 56 .229/.312/.403 .175.246 232 19% 10% 103 +1.9 .208/.294/.356 .148.241 183 21% 10% 83 +0.6 .202/.300/.350.148.23218021%11%84+0.4
Graham Koonce
2007 · AAA
32 41 54→55 44→30 46 .220/.290/.397 .178.268 234 28% 8% 92 +1.2 .214/.286/.390 .176.272 225 29% 8% 89 +0.9 .184/.266/.368.183.22624030%9%73-0.1
Andy Tracy
2008 · AAA
34 42→48 51→55 41→45 50 .221/.296/.380 .159.265 196 25% 9% 90 +1.0 .233/.302/.409 .176.279 226 24% 8% 99 +1.7 .233/.303/.420.187.27624525%8%104+1.7
Mike Hessman
2012 · MLB
34 37 55→65 47→45 42 .202/.273/.385 .183.265 234 33% 7% 82 +0.5 .198/.253/.393 .195.250 273 33% 6% 76 +0.1 .195/.260/.385.189.23626330%7%75-0.0
Kevin Barker
2010 · MLB
35 44→47 53→55 44→40 47 .232/.294/.405 .173.275 223 25% 8% 95 +1.4 .255/.320/.425 .170.295 184 20% 8% 111 +2.5 .273/.342/.440.167.31316117%9%123+1.9
Kole Calhoun
2023 · MLB
35 41→51 52→60 44→50 46 .218/.290/.383 .164.272 215 28% 8% 88 +0.9 .225/.290/.379 .154.278 174 25% 7% 87 +0.8 .223/.290/.384.161.26418022%7%86+0.6
Shelley Duncan
2013 · MLB
33 42→43 54→60 40→45 51 .223/.301/.401 .178.257 234 24% 9% 98 +1.6 .197/.264/.333 .136.240 164 25% 8% 64 -0.8 .164/.225/.275.111.20212026%7%30-2.3
Mitch Moreland
2019 · MLB
33 45→55 55→60 46→40 52 .237/.313/.427 .190.270 233 22% 10% 109 +2.4 .243/.318/.454 .211.275 273 22% 10% 118 +3.0 .239/.312/.465.226.26131122%9%115+1.1
Garrett Jones
2015 · MLB
34 48→53 54→60 46→50 48 .248/.305/.433 .185.284 223 21% 8% 107 +2.2 .236/.293/.390 .154.284 185 23% 7% 91 +1.1 .213/.254/.347.134.25717024%5%62-0.2
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
Justin Bour
2021 · MLB
33 42→52 56→60 47→40 56 .226/.324/.418 .191.270 255 26% 12% 111 +2.5 .224/.308/.397 .173.283 217 27% 10% 99 +1.7 .170/.278/.331.161.20621029%12%66-0.1
Matt Clark
2019 · AAA
32 45 54→60 44→30 42 .236/.286/.411 .175.295 235 28% 6% 93 +1.3 .245/.305/.459 .214.291 285 26% 7% 115 +2.7 .242/.309/.492.250.27134025%8%127+2.0
Cory Aldridge
2013 · AAA
34 39→49 54→55 46→45 38 .209/.260/.378 .169.295 239 37% 6% 74 -0.1 .228/.289/.398 .170.324 246 35% 8% 92 +1.2 .248/.319/.425.177.32827131%9%110+1.1
Justin Upton
2022 · MLB
34 39→49 57→65 43→55 50 .218/.303/.412 .194.264 276 29% 10% 102 +1.8 .215/.298/.378 .163.296 207 32% 9% 91 +1.1 .139/.242/.241.101.22913042%9%33-0.5
Eric Karros
2002 · MLB
34 46→55 55 43→40 52 .243/.314/.423 .180.268 235 20% 9% 108 +2.3 .260/.318/.409 .149.285 175 15% 8% 106 +2.2 .266/.320/.403.137.28615313%7%101+1.1
Aaron Guiel
2006 · MLB
33 45→53 54→60 43→45 48 .235/.309/.420 .185.266 226 21% 7% 106 +2.2 .232/.318/.424 .192.268 236 22% 9% 111 +2.5 .222/.327/.430.209.24925322%10%115+2.0
Damon Hollins
2008 · MLB
34 46→50 53→55 46→45 48 .242/.292/.416 .175.263 2210 18% 7% 98 +1.6 .210/.276/.362 .152.251 186 24% 8% 77 +0.1 .180/.253/.319.139.21318225%8%52-1.1
Jesús Aguilar
2023 · MLB
33 46→50 54→60 44→40 49 .244/.305/.419 .175.274 232 21% 8% 104 +2.0 .237/.300/.380 .143.289 194 24% 8% 91 +1.1 .232/.301/.344.112.29116025%8%79+0.2
Valentino Pascucci
2012 · AAA
33 42→45 52→55 44→45 47 .218/.295/.386 .167.296 203 32% 9% 91 +1.1 .212/.300/.378 .166.309 213 36% 11% 92 +1.2 .191/.294/.354.163.27623037%12%81+0.3