Isan Díaz2B Puerto Rico
Age 30 L/R 5'10" / 201 lbs INTL HR -5%BB +4% Svc 7.000 · Ctrl thru 2026 peak 0.4 · 2026
wRC+†84
AVG/OBP/SLG.216 / .288 / .367
PA274
HR10
K%28
BB%9
MLB%0%
BAT: -4.9 runs (wOBA-derived runs vs avg)-5BATRUN: +0.5 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.6 runs (Defensive runs vs avg)-1FLDPOS: +1.0 runs (Positional adjustment)+1POSREP: +7.8 runs (Replacement-level credit)+8REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
HIT
3535
PWR
5555
SPD
4545
EYE
5455
trajectory · 10 yrs
0.3peak
2026

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$2M+0.4$2M-$0.8M
Totals $2M $2M -$0.8M

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
201418 ROK2 teams 227205 25532 17862 65 .122.196.205.401 .083.193 387 .184 -1 -26 -1 +0 +1 +6 -2.0
201519 ROKMissoula Osprey 312285 721749 21944 127 .253.313.435.748 .182.342 307 .318 102 +1 -0 +0 +1 +9 1.0
201620 A2 teams 664598 11931215 572075 149 .199.274.333.607 .134.274 319 .268 63 -28 -1 +0 +2 +19 -0.7
201721 A+Carolina Mudcats 455406 6914011 391745 93 .170.251.286.537 .116.257 389 .243 44 -29 +1 +0 +2 +13 -1.4
201822 AA3 teams 643572 11629515 542206 154 .203.278.350.628 .147.294 348 .272 66 -25 +1 +0 +2 +18 -0.3
201923 AAA2 teams 636575 12121322 491909 57 .210.283.372.655 .162.272 308 .286 77 -16 -2 -6 +2 +18 -0.4
202024 MLBMiami Marlins 2222 4000 070 00 .182.182.182.364 .000.267 320 .162 -18 -3 +0 +0 +0 +1 -0.2
202125 MLB2 teams 394345 671619 421103 13 .194.287.325.612 .130.253 2811 .260 57 -19 -1 -5 +1 +11 -1.2
202226 AAA2 teams 415370 7611221 391404 74 .205.288.416.704 .211.262 349 .305 92 -4 -0 +0 +1 +12 0.9
202327 AAA2 teams 161149 25208 12610 30 .168.230.342.572 .174.212 387 .250 50 -9 +1 +0 +1 +5 -0.3
202428 INTLPuerto Rico 174147 36236 24400 30 .245.351.422.773 .177.291 2314 +0 +1
202529 INTL3 teams 409364 685017 381013 35 .187.269.341.610 .154.206 259 .270 65 -16 -1 +0 +1 +12 -0.5
▸ 2026 Season
202630 MLBKC 274247 547110 23762 41 .219.290.377.667 .158.271 288 .295 84 -5 +0 -1 +1 +8 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202731 MLB 7%KC 259233 51719 22732 21 .219.292.373.665 .155.269 288 .291 81 -6 +0 -3 +1 +7 -0.1
202832 MLB 18%KC 240217 46618 20691 10 .212.282.359.641 .147.267 298 .287 78 -6 +0 -4 +1 +7 -0.2
202933 MLB 27%KC 210189 39507 18621 00 .206.279.344.623 .138.266 309 .281 73 -6 +0 -5 +1 +6 -0.4
203034 MLB 39%KC 169152 30405 14511 00 .197.269.322.592 .125.264 308 .275 68 -6 +0 -5 +1 +5 -0.6
▸ Career Totals (MLE all levels + projections)
Career 56645076 101818226174 489176148 8549 .201.277.349.627 .149.266 319 .265 61 -250 -3 -29 +20 +160 -10.3
/ 162G 650583 11721320 562026 106 .201.278.350.628 .149.266 319 .265 61 -29 -0 -3 +2 +18 -1.2

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
201418 ROKACL D-backs 212182 34753 25562 65 .187.292.330.622 .143.248 2612 .280 73 -7 -1 +6 -0.1
201418 INTLGigantes de Carolina 1514 3200 130 00 .214.267.357.624 .143.273 207 .278 71 -0 +0 +0 -0.0
201519 ROKMissoula Osprey 312272 9825613 34654 127 .360.439.6401.078 .279.434 2111 .463 212 +40 -0 +9 4.9
201620 AWisconsin Timber Rattlers 587507 13434520 721484 118 .264.360.469.830 .205.332 2512 .365 138 +25 -1 +17 4.1
201620 INTLSalt River Rafters 7767 16601 9241 31 .239.338.373.711 .134.357 3112 .324 106 +1 +0 +2 0.3
201721 A+Carolina Mudcats 455383 8620013 621215 93 .225.340.379.719 .154.287 2714 .324 106 +3 +1 +13 1.7
201822 AAANew Orleans Baby Cakes 155137 28443 15450 40 .204.283.358.641 .153.278 2910 .282 74 -5 +1 +4 0.1
201822 AAJacksonville Jumbo Shrimp 356294 7219110 53954 103 .245.368.418.786 .173.325 2715 .350 126 +11 +1 +10 2.2
201822 INTLGigantes de Carolina 132114 31611 13202 11 .272.357.368.725 .096.312 1510 .324 106 +1 -0 +4 0.5
201923 MLBMiami Marlins 201179 31525 19592 03 .173.260.307.567 .134.224 299 .259 56 -10 -1 -6 +2 +6 -1.0
201923 AAANew Orleans Baby Cakes 435377 11521226 49967 54 .305.395.578.973 .273.349 2211 .422 181 +40 -1 +12 5.2
202024 MLBMiami Marlins 2222 4000 070 00 .182.182.182.364 .000.267 320 .165 -16 -3 +0 +0 +0 +1 -0.2
202125 MLBMiami Marlins 278238 46904 34731 11 .193.296.282.577 .088.256 2612 .267 62 -12 -0 -5 +1 +8 -0.8
202125 AAAJacksonville Jumbo Shrimp 116103 25815 11302 02 .243.328.485.813 .243.294 269 .357 131 +4 -1 +3 0.7
202226 AAASacramento River Cats 340291 7812223 44884 72 .268.372.560.932 .292.304 2613 .404 167 +26 +1 +10 3.7
202226 INTLCangrejeros de Santurce 7563 11301 11140 02 .175.297.270.567 .095.208 1915 .266 62 -3 -1 +2 -0.2
202327 MLBDetroit Tigers 2624 1000 290 00 .042.115.042.157 .000.067 358 .088 -74 -5 +0 +0 +1 +1 -0.4
202327 AAAToledo Mud Hens 135119 28309 16430 30 .235.326.487.813 .252.284 3212 .357 132 +5 +1 +4 0.9
202428 INTLPuerto Rico 174147 36236 24400 30 .245.351.422.773 .177.291 2314 .341 119 +4 +1 +5 0.9
202529 AAAOmaha Storm Chasers 154132 25107 19381 00 .189.296.356.652 .167.205 2512 .294 83 -3 +0 +4 0.1
202529 AANorthwest Arkansas Naturals 7057 18204 1181 22 .316.435.561.996 .246.304 1116 .431 188 +7 -0 +2 0.9
202529 INTLPuerto Rico 185158 40504 25271 13 .253.359.361.719 .108.283 1514 .330 110 +2 -1 +5 0.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career 527463 821429 551483 14 .177.268.274.542 .097.235 2810 .251 50 -30 -1 -11 +4 +15 -2.3

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
Isan Díaz (OGILVIE) 30 35 55 45 55 .216/.288/.367 .152.271 104 28% 9% 84 +0.3
Jason Vosler
2023 · MLB
29 41→44 52→55 49→40 45 .217/.282/.379 .162.265 216 27% 7% 84 +0.6 .214/.274/.387 .173.271 225 29% 7% 82 +0.5 .207/.268/.386.179.25824430%7%77+0.1
Daniel Palka
2022 · MLB
30 40→43 53→60 49→50 48 .215/.286/.385 .171.264 226 28% 9% 87 +0.8 .225/.283/.396 .171.284 235 29% 7% 89 +0.9 .215/.272/.382.166.26924229%7%75+0.0
Yoshi Tsutsugo
2022 · MLB
30 42→41 54→50 42→30 53 .224/.312/.404 .179.271 223 26% 11% 103 +1.9 .221/.310/.369 .148.294 184 29% 11% 93 +1.3 .209/.307/.339.130.29016231%12%81+0.2
Anthony Recker
2014 · MLB
30 43→48 51→50 43→45 47 .220/.295/.378 .157.286 197 29% 9% 89 +0.9 .211/.280/.369 .158.286 206 32% 8% 80 +0.4 .200/.280/.351.151.26619331%9%71-0.1
Zack Collins
2023 · MLB
28 38→42 49→50 46→40 51 .195/.290/.346 .151.268 166 32% 11% 79 +0.3 .210/.290/.356 .146.319 166 36% 10% 81 +0.4 .203/.283/.339.136.31915438%10%71-0.2
Brandon Larson
2006 · MLB
30 43→42 49→50 45 45 .221/.292/.366 .145.284 177 28% 8% 85 +0.7 .227/.277/.383 .156.291 206 29% 6% 82 +0.5 .217/.262/.366.149.27321529%5%68-0.2
Ryan Fitzgerald
2023 · AAA
29 38→44 51→55 44→45 42 .204/.266/.370 .166.256 187 28% 6% 75 -0.0 .210/.273/.363 .153.278 169 29% 7% 76 +0.0 .225/.292/.365.140.28614725%7%80+0.2
Eric Munson
2008 · MLB
30 44→43 52→60 43→40 49 .230/.294/.396 .166.255 213 20% 8% 93 +1.3 .213/.289/.351 .138.255 154 22% 9% 79 +0.3 .193/.280/.324.131.23415024%9%68-0.2
Donnie Murphy
2014 · MLB
31 41 54→60 47→45 42 .219/.284/.396 .177.269 227 28% 6% 89 +1.0 .205/.270/.344 .139.260 176 27% 6% 69 -0.4 .170/.239/.268.098.21512027%7%35-0.9
Brooks Conrad
2011 · MLB
31 41→44 52→55 52→50 43 .217/.277/.384 .167.274 2011 29% 7% 83 +0.6 .230/.298/.415 .185.307 239 31% 8% 100 +1.7 .210/.276/.403.193.27426233%8%85+0.3
John-Ford Griffin
2009 · AAA
29 43→39 51→55 49→40 43 .223/.279/.388 .165.277 195 27% 7% 84 +0.6 .221/.279/.351 .130.294 127 28% 6% 75 -0.0 .205/.266/.311.106.2896729%6%57-0.8
Jason Grabowski
2005 · MLB
29 46 52→50 47→40 50 .237/.309/.404 .167.289 216 25% 10% 102 +1.8 .230/.300/.379 .149.267 175 20% 9% 91 +1.1 .218/.289/.352.134.24716219%9%74-0.0
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
Simon Pond
2006 · MLB
29 44→43 51→55 47→45 41 .226/.281/.383 .158.300 199 31% 7% 84 +0.6 .223/.278/.365 .142.303 156 30% 7% 78 +0.2 .215/.272/.351.136.29113329%7%71-0.2
Jose Rojas
2022 · MLB
29 41→48 52→65 46→50 45 .217/.271/.387 .170.263 197 26% 7% 81 +0.4 .212/.269/.396 .184.254 238 27% 7% 83 +0.6 .209/.275/.433.224.237301027%8%92+0.8
Ryan Flaherty
2016 · MLB
30 42→47 49→55 50→45 47 .219/.288/.367 .148.264 174 24% 8% 83 +0.6 .229/.306/.349 .120.293 126 24% 9% 86 +0.8 .222/.294/.352.130.28815427%8%77+0.1
Justin Leone
2007 · MLB
30 41 47→50 43→55 46 .211/.283/.343 .132.274 166 28% 8% 75 -0.0 .206/.284/.351 .145.269 1616 28% 9% 78 +0.2 .187/.272/.333.146.244161929%10%67-0.4
Dustin Garneau
2017 · MLB
29 40→38 49→50 45 45 .211/.268/.357 .146.241 186 22% 6% 72 -0.2 .207/.272/.362 .155.252 184 25% 7% 76 +0.0 .184/.263/.355.171.22521029%7%68-0.2
Niko Vasquez
2019 · AAA
30 47→41 51→50 47→45 41 .240/.291/.401 .161.299 209 27% 6% 93 +1.3 .218/.276/.340 .122.302 159 31% 6% 71 -0.3 .190/.255/.287.097.26614433%6%46-0.8
Jack Mayfield
2021 · MLB
30 42→45 52→55 46→50 41 .223/.270/.391 .168.262 217 24% 5% 82 +0.5 .218/.264/.370 .152.259 1810 23% 5% 73 -0.1 .207/.252/.352.145.244171023%4%61-0.5