Railin Tea2B DSL Rays
Age 20 S/R 5'9" / 162 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.3 · 2033
wRC+†67
AVG/OBP/SLG.213 / .282 / .315
PA80
HR1
K%27
BB%7
MLB%0%
BAT: -3.0 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.3 runs (Positional adjustment)+0POSREP: +2.3 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
2.3peak
2033

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+2.2$21M+$20M
2033Ext / FA-deal$1.0M+2.3$23M+$22M
2034Ext / FA-deal$1.0M+2.2$22M+$21M
2035Ext / FA-deal$4M+2.0$21M+$17M
2036Ext / FA-deal$6M+1.7$18M+$13M
2037Ext / FA-deal$7M+1.4$16M+$9M
Totals $20M $121M +$101M

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
202317 ROKDSL Tampa Bay 173161 31341 8493 185 .193.244.280.524 .087.268 285 .224 30 -14 +2 +0 +1 +5 -0.7
202418 ROKDSL Rays 176146 23421 154412 193 .158.289.233.522 .075.214 259 .226 31 -14 +3 +0 +1 +5 -0.6
▸ 2026 Season
202620 MLBTB 8073 16311 6211 10 .219.287.329.616 .110.286 268 .273 67 -3 +0 +0 +0 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%TB 123110 26513 10312 31 .236.311.382.693 .145.289 258 .294 84 -2 +0 +0 +0 +3 0.2
202822 MLB 28%TB 269239 561027 24664 61 .234.315.381.695 .146.290 259 .308 94 -2 +1 +0 +1 +8 0.8
202923 MLB 48%TB 374332 7814210 34905 92 .235.315.380.695 .145.291 249 .315 100 -0 +1 +0 +1 +11 1.3
203024 MLB 62%TB 444394 9417313 411056 102 .239.320.396.716 .157.291 249 .320 103 +2 +1 +0 +2 +13 1.7
203125 MLB 80%TB 487431 10419315 461157 112 .241.324.404.728 .162.292 249 .324 106 +3 +1 +0 +2 +14 2.1
203226 MLB 94%TB 512450 10920316 501217 122 .242.327.407.734 .164.292 2410 .325 107 +4 +2 +0 +2 +15 2.2
203327 MLBTB 524461 11120316 511247 122 .241.326.401.727 .161.292 2410 .325 107 +4 +2 +0 +2 +15 2.3
203428 MLBTB 527463 11120316 521267 112 .240.326.400.725 .160.292 2410 .324 106 +4 +1 -1 +2 +15 2.2
203529 MLBTB 522458 11020316 521267 101 .240.327.402.729 .162.291 2410 .322 105 +3 +2 -1 +2 +15 2.0
203630 MLBTB 514451 10619315 511267 91 .235.322.390.712 .155.290 2510 .319 102 +1 +1 -2 +2 +15 1.7
203731 MLBTB 502440 10218314 501257 60 .232.320.382.702 .150.288 2510 .315 99 -0 +1 -3 +2 +14 1.4
203832 MLBTB 485428 9717313 481236 40 .227.313.371.685 .145.287 2510 .310 96 -2 +1 -4 +2 +14 1.1
203933 MLBTB 456402 9016212 451196 20 .224.311.363.674 .139.285 2610 .305 92 -4 +0 -4 +2 +13 0.7
204034 MLBTB 411363 7914210 401115 10 .218.304.350.654 .132.284 2710 .298 87 -6 +0 -5 +1 +12 0.2
204135 MLBTB 356314 671128 35994 00 .213.300.338.638 .124.281 2810 .291 81 -8 +0 -6 +1 +10 -0.2
204236 MLBTB 298263 54926 29864 00 .205.294.323.617 .118.278 2910 .282 74 -9 +0 -6 +1 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 72336379 146425947193 6871807107 14424 .230.315.376.690 .146.288 259 .309 95 -44 +19 -31 +26 +205 17.8
/ 162G 650573 13123417 6216210 132 .229.315.372.686 .143.287 2510 .309 95 -4 +2 -3 +2 +18 1.6

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
202317 ROKDSL Tampa Bay 173156 40562 13343 185 .256.326.404.729 .147.314 208 .324 106 +1 +2 +5 0.8
202418 ROKDSL Rays 176138 27621 233112 193 .196.358.290.648 .094.241 1813 .308 94 -1 +3 +5 0.6

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
Railin Tea (OGILVIE) 20 .213/.282/.315 .102.286 11 27% 7% 67 -0.1
Dylan Carlson
2019 · A
20 42→52 43→55 45→50 45 .206/.277/.315 .109.279 106 28% 8% 65 -0.7 .228/.297/.383 .155.293 1610 27% 8% 91 +1.1 .242/.327/.396.154.29614422%9%105+1.6
Angel Martínez
2022 · A
20 42→48 40→50 49→50 44 .205/.261/.303 .099.264 710 25% 7% 54 -1.4 .223/.284/.349 .126.283 1210 24% 7% 76 +0.1 .227/.291/.359.132.280131023%7%80+0.3
Dalton Pompey
2013 · A
20 40→50 40→45 55 44 .197/.264/.289 .093.275 816 30% 8% 53 -1.5 .236/.299/.340 .104.314 724 25% 8% 79 +0.3 .253/.315/.362.109.32572823%8%88+0.8
Adael Amador
2022 · A
19 45→54 41→50 45→55 47 .219/.281/.317 .098.274 811 23% 8% 66 -0.6 .241/.317/.373 .132.280 1517 19% 9% 97 +1.5 .233/.312/.369.136.267172319%9%90+0.8
Blake Perkins
2018 · A
21 42→52 40→50 51→55 43 .206/.261/.296 .090.274 814 27% 6% 52 -1.6 .202/.269/.286 .084.291 717 30% 8% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
Abraham Almonte
2009 · A
20 39→49 42→55 52→55 45 .194/.252/.299 .105.252 919 26% 7% 50 -1.8 .220/.264/.315 .095.289 620 25% 5% 57 -1.2 .232/.330/.424.192.279221124%12%111+1.5
Vaughn Grissom
2021 · A
20 44→54 39→50 51→55 44 .214/.271/.302 .088.272 76 23% 6% 58 -1.2 .265/.329/.388 .123.318 1115 19% 7% 105 +2.1 .283/.348/.417.134.334121718%7%116+2.4
Michael Harris II
2021 · A
20 44→54 39→55 52→55 41 .212/.263/.298 .086.291 610 28% 6% 53 -1.5 .258/.304/.406 .148.329 1421 25% 5% 99 +1.7 .278/.321/.456.177.328212121%5%116+2.7
Thairo Estrada
2016 · A
20 44→54 39→50 48→55 41 .211/.264/.302 .090.275 58 24% 5% 55 -1.4 .255/.297/.344 .089.303 89 18% 5% 79 +0.3 .270/.326/.420.150.314172119%5%108+1.8
Miguel Gómez
2013 · A
20 42→52 38→50 49→40 41 .201/.259/.282 .081.276 46 28% 6% 48 -1.9 .220/.266/.316 .096.291 75 25% 5% 59 -1.1 .271/.288/.403.133.30514116%2%87+0.6
Anthony Santander
2015 · A
20 39→49 40→65 47→45 40 .192/.246/.287 .095.263 88 29% 6% 44 -2.1 .220/.272/.355 .135.289 156 28% 5% 72 -0.2 .242/.317/.473.231.25731220%9%120+3.4
Dilson Herrera
2014 · A
20 43→53 45→50 49→50 40 .213/.264/.339 .126.281 1211 28% 6% 65 -0.7 .248/.297/.383 .135.313 1413 24% 6% 90 +1.0 .257/.307/.397.140.313151322%6%94+1.2
Niko Goodrum
2013 · A
21 40→50 39→55 51→55 41 .191/.252/.280 .089.282 58 33% 7% 44 -2.1 .212/.279/.299 .087.310 516 30% 8% 61 -1.0 .231/.306/.406.174.310181630%9%97+1.0
Alex Liddi
2009 · A
20 42→52 40→60 49→50 38 .202/.249/.300 .098.290 79 32% 5% 48 -1.9 .240/.291/.399 .159.335 167 32% 6% 92 +1.2 .241/.296/.424.182.33620533%6%99+1.7
Ceddanne Rafaela
2021 · A
20 41→50 42→55 52→55 41 .202/.253/.302 .099.256 1014 25% 5% 50 -1.7 .228/.267/.382 .154.289 1619 26% 4% 77 +0.1 .244/.283/.399.155.300172424%4%86+0.7
Hoy Park
2016 · A
20 41→50 41→45 47→55 46 .198/.271/.297 .099.267 810 28% 8% 57 -1.2 .198/.270/.283 .085.271 516 27% 8% 53 -1.5 .229/.318/.327.099.30091724%11%81+0.3
Josh Johnson
2006 · A
20 43→49 39→45 48→50 50 .204/.281/.297 .094.268 59 25% 9% 61 -1.0 .218/.305/.288 .070.282 410 21% 11% 69 -0.4 .247/.316/.352.105.29591618%9%86+0.5
Edmundo Sosa
2016 · A
20 45→50 41→55 49→50 44 .217/.269/.316 .099.260 88 20% 5% 61 -1.0 .228/.265/.309 .081.295 66 24% 4% 56 -1.3 .254/.298/.423.169.30818923%4%99+0.8
Yonathan Perlaza
2019 · A
20 44→52 37→60 48→50 38 .209/.246/.281 .072.297 312 30% 5% 40 -2.4 .218/.268/.312 .094.317 87 32% 6% 59 -1.1 .235/.307/.417.182.303191228%9%100+1.6
Oneil Cruz
2019 · A
20 43→51 43→60 47→55 36 .212/.251/.327 .115.305 118 34% 5% 55 -1.4 .228/.271/.373 .145.324 1613 33% 5% 76 +0.1 .241/.304/.442.201.317252231%8%103+1.7