Luis ArizaSS FCL Rays
Age 22 R/R 5'11" / 155 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 1.2 · 2031
wRC+†57
AVG/OBP/SLG.203 / .270 / .297
PA64
HR1
K%30
BB%7
MLB%0%
BAT: -3.1 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +1.8 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.2peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+1.1$11M+$10M
2033Ext / FA-deal$1.0M+1.0$10M+$9M
2034Ext / FA-deal$1.0M+0.7$4M+$3M
2035Ext / FA-deal$1M+0.5$3M+$2M
2036Ext / FA-deal$0.7M+0.2$1M+$0.4M
2037Ext / FA-deal$0.6M
Totals $5M $27M +$22M

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
202117 ROKDSL Rays 1 173160 26512 8703 44 .163.216.244.460 .081.267 405 .211 20 -16 -1 +0 +2 +5 -1.0
202218 ROKDSL Tampa Bay 191167 29410 15607 62 .174.270.210.479 .036.266 318 .225 30 -15 +0 +0 +2 +5 -0.7
202319 ROKFCL Rays 6965 13301 3201 00 .200.246.292.539 .092.273 294 .233 37 -5 +0 +0 +1 +2 -0.2
202420 ROKFCL Rays 7064 9301 5220 10 .141.203.234.437 .094.190 317 .202 13 -7 +0 +0 +1 +2 -0.4
202521 ROKFCL Rays 6555 6100 5245 00 .109.246.127.373 .018.194 378 .186 1 -7 +0 +0 +1 +2 -0.5
▸ 2026 Season
202622 MLBTB 6458 11201 5191 10 .190.266.276.541 .086.286 308 .260 57 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%TB 140126 28513 11402 20 .222.295.349.644 .127.288 298 .278 71 -5 +0 +0 +2 +4 0.1
202824 MLB 26%TB 262236 52926 21733 41 .220.292.352.644 .131.290 288 .289 79 -6 +0 +0 +3 +7 0.5
202925 MLB 43%TB 340305 681228 28934 51 .223.297.354.651 .131.291 278 .296 85 -6 +1 +0 +4 +10 0.8
203026 MLB 58%TB 392352 7914210 331074 61 .224.298.361.659 .136.292 278 .300 88 -5 +1 +0 +4 +11 1.1
203127 MLB 76%TB 418374 8515311 361145 61 .227.304.372.675 .144.292 279 .300 88 -6 +1 +0 +4 +12 1.2
203228 MLB 84%TB 431386 8715311 371195 61 .225.301.365.667 .140.292 289 .299 87 -6 +1 -1 +5 +12 1.1
203329 MLB 90%TB 431385 8615311 381205 50 .223.301.364.665 .140.291 289 .297 86 -7 +1 -1 +5 +12 1.0
203430 MLBTB 428383 8415211 371215 40 .219.296.355.652 .136.290 289 .294 83 -8 +1 -2 +5 +12 0.7
203531 MLBTB 418375 8114210 361194 20 .216.292.344.636 .128.288 289 .290 80 -9 +0 -3 +4 +12 0.5
203632 MLBTB 403361 771429 351174 00 .213.290.338.628 .125.287 299 .286 77 -11 +0 -4 +4 +11 0.2
203733 MLBTB 375336 701228 321124 00 .208.285.327.612 .119.285 309 .280 73 -12 +0 -4 +4 +11 -0.1
203834 MLBTB 331297 611027 281013 00 .205.280.323.604 .118.283 318 .274 68 -12 +0 -5 +4 +9 -0.4
▸ Career Totals (MLE all levels + projections)
Career 50014485 95216828110 413145165 5211 .212.288.336.624 .124.285 298 .282 74 -145 +6 -20 +54 +142 3.7
/ 162G 650583 12422414 541898 71 .213.288.336.625 .123.286 298 .282 74 -19 +1 -3 +7 +18 0.5

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
202117 ROKDSL Rays 1 173153 391013 15473 44 .255.333.392.725 .137.343 279 .324 106 +1 -1 +5 0.5
202218 ROKDSL Tampa Bay 191159 38611 23407 62 .239.360.308.668 .069.308 2112 .313 98 -1 +0 +5 0.5
202319 ROKFCL Rays 6964 18501 4141 00 .281.333.406.740 .125.347 206 .332 112 +1 +0 +2 0.3
202420 ROKFCL Rays 7060 13411 9150 10 .217.319.367.686 .150.267 2113 .306 93 -1 +0 +2 0.2
202521 ROKFCL Rays 6552 9200 8165 00 .173.338.212.550 .038.250 2512 .279 72 -2 +0 +2 -0.0

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
Luis Ariza (OGILVIE) 22 .203/.270/.297 .094.286 11 30% 7% 57 -0.1
Ezequiel Duran
2021 · A
22 38→48 39→55 52→50 33 .186/.233/.270 .084.294 78 38% 4% 33 -2.9 .226/.276/.390 .164.313 1914 33% 6% 84 +0.6 .235/.283/.404.168.313191430%5%88+0.7
Corey Joyce
2021 · A
22 44 40→45 50 40 .212/.268/.307 .095.307 88 32% 6% 58 -1.2 .203/.290/.313 .110.295 1112 32% 9% 70 -0.3 .212/.315/.318.105.30191429%10%80+0.2
James McCann
2012 · A
22 41→51 42→50 49→45 39 .203/.260/.306 .103.288 97 32% 6% 55 -1.4 .223/.261/.310 .087.291 66 24% 4% 55 -1.4 .254/.315/.415.161.33120428%7%104+1.1
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
Eric Fryer
2008 · A
22 39→49 40→45 45→50 42 .195/.249/.284 .089.258 77 27% 6% 44 -2.1 .241/.298/.354 .113.308 910 24% 6% 82 +0.5 .247/.311/.365.118.317101123%7%87+0.6
Jose Sibrian
2021 · A
22 42 37→50 48→30 39 .199/.255/.274 .075.282 55 30% 5% 44 -2.1 .205/.260/.284 .079.273 53 26% 5% 49 -1.8 .204/.263/.299.095.2589024%5%51-0.5
Wynton Bernard
2013 · A
22 44→54 39→45 52→60 42 .208/.269/.296 .088.301 610 31% 7% 56 -1.3 .242/.293/.332 .090.318 519 24% 6% 75 -0.0 .270/.315/.362.092.32952819%6%86+0.7
Ramon Mendoza
2023 · A
22 41→48 37→45 48→45 45 .193/.269/.270 .078.280 47 31% 8% 50 -1.8 .211/.284/.310 .099.294 85 29% 8% 66 -0.6 .219/.298/.332.113.29411327%9%76+0.0
Aaron McKeithan
2022 · A
22 41 39→40 49→40 40 .198/.263/.282 .084.277 67 29% 6% 50 -1.7 .218/.296/.304 .086.283 84 24% 7% 70 -0.3 .219/.302/.289.070.2807122%7%69-0.2
Blaze Alexander
2021 · A
22 45→48 42→50 51→50 43 .218/.284/.328 .110.300 911 29% 7% 71 -0.3 .204/.275/.332 .128.317 1412 38% 7% 69 -0.4 .220/.308/.345.126.328131034%8%84+0.4
Tucker Mitchell
2022 · A
21 43 39→50 51→45 39 .202/.262/.293 .090.301 67 33% 6% 52 -1.6 .193/.267/.305 .112.296 138 37% 7% 59 -1.1 .178/.253/.291.113.25315734%7%47-0.8
Javier Valdes
2021 · A
22 40 37→55 50→30 45 .190/.266/.263 .073.266 47 28% 8% 47 -1.9 .209/.291/.323 .114.277 125 27% 8% 74 -0.1 .207/.303/.355.148.25618326%9%85+0.3
Jonathan Ornelas
2022 · A
22 41→51 41→45 48→50 38 .204/.251/.304 .100.277 99 29% 5% 50 -1.7 .233/.286/.332 .099.320 1011 29% 6% 72 -0.2 .231/.292/.316.084.32291229%7%67-0.4
Brandon Barnes
2008 · A
22 37→47 38→55 46→50 37 .181/.232/.260 .079.269 57 34% 5% 30 -3.1 .197/.236/.309 .112.291 116 35% 4% 45 -2.1 .244/.289/.369.125.331121629%5%80+0.3
David Bote
2015 · A
22 39→48 38→55 43→45 44 .186/.267/.266 .080.264 47 29% 7% 49 -1.8 .223/.283/.331 .108.286 96 24% 6% 71 -0.3 .234/.308/.397.164.29819627%8%95+1.0
Ashton McGee
2021 · A
22 41 39→50 50→40 41 .194/.258/.283 .089.288 55 33% 7% 48 -1.9 .206/.290/.322 .116.364 113 42% 10% 72 -0.2 .191/.284/.307.117.34612244%11%63-0.4
Andy Paz
2015 · A
22 39 38→40 45 45 .191/.251/.267 .076.256 55 26% 7% 40 -2.4 .211/.266/.279 .068.290 46 27% 7% 50 -1.8 .235/.280/.283.048.3033722%6%52-0.5
Alonzo Harris
2011 · A
22 39→49 42→55 51→60 36 .196/.232/.300 .103.263 1013 30% 4% 40 -2.4 .219/.261/.311 .092.282 718 24% 5% 56 -1.3 .240/.296/.401.161.286193522%7%92+0.9
Devin Mann
2019 · A
22 45 38→55 47→45 50 .213/.290/.297 .084.279 59 24% 9% 66 -0.6 .218/.289/.365 .147.284 177 28% 8% 83 +0.6 .209/.294/.374.166.27519430%9%85+0.6
Anderson Gomes
2007 · A
22 41→38 43→45 47→50 39 .205/.252/.313 .108.275 109 29% 5% 53 -1.5 .220/.270/.333 .113.292 117 27% 6% 66 -0.6 .223/.275/.335.112.29012526%6%67-0.2