Wander FriasSS DSL Orioles Black
Age 20 S/L 5'10" / 155 lbs ROK HR +8%BB -5% Svc 0.0 · Ctrl thru 2037 peak 2.1 · 2032
wRC+†53
AVG/OBP/SLG.201 / .266 / .289
PA50
HR1
K%31
BB%7
MLB%0%
BAT: -2.6 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.5 runs (Positional adjustment)+1POSREP: +1.4 runs (Replacement-level credit)+1REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
2.1peak
2032

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+2.1$20M+$19M
2033Ext / FA-deal$1.0M+2.1$21M+$20M
2034Ext / FA-deal$1.0M+2.0$20M+$19M
2035Ext / FA-deal$4M+1.8$19M+$15M
2036Ext / FA-deal$5M+1.6$17M+$12M
2037Ext / FA-deal$6M+1.3$14M+$8M
Totals $18M $111M +$93M

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 Orioles Orange 1816 3110 181 20 .188.278.375.653 .188.375 446 .194 7 -2 +0 +0 +0 +1 -0.1
202418 ROKDSL Orioles Black 7057 3010 7274 82 .053.206.088.294 .035.097 3910 .148 -28 -10 +1 +0 +1 +2 -0.7
▸ 2026 Season
202620 MLBBAL 5045 10201 4161 10 .222.300.333.633 .111.290 328 .255 53 -3 +0 +0 +1 +1 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%BAL 116105 23412 9341 20 .219.287.333.620 .114.293 298 .279 72 -4 +0 +0 +1 +3 0.1
202822 MLB 28%BAL 261234 52926 22743 51 .222.297.355.652 .132.295 288 .294 83 -5 +1 +0 +3 +7 0.6
202923 MLB 48%BAL 365326 7513310 321004 71 .230.307.380.687 .150.295 279 .304 90 -4 +1 +0 +4 +10 1.2
203024 MLB 62%BAL 436388 8915312 401185 92 .229.309.376.686 .147.296 279 .309 95 -3 +1 +0 +5 +12 1.6
203125 MLB 80%BAL 478426 9917314 441285 92 .232.312.385.697 .153.297 279 .313 98 -1 +1 +0 +5 +14 1.9
203226 MLB 94%BAL 503444 10418315 481356 102 .234.317.390.707 .155.297 2710 .315 99 -1 +1 +0 +5 +14 2.1
203327 MLBBAL 514454 10618415 491386 102 .233.316.390.706 .156.297 2710 .315 99 -1 +1 +0 +6 +15 2.1
203428 MLBBAL 517456 10518315 501406 91 .230.314.382.696 .151.297 2710 .314 98 -1 +1 -1 +6 +15 2.0
203529 MLBBAL 512451 10418315 501406 81 .231.316.384.699 .153.296 2710 .311 97 -2 +1 -1 +5 +15 1.8
203630 MLBBAL 504444 10117314 491406 70 .227.313.374.686 .146.295 2810 .308 94 -3 +1 -2 +5 +14 1.6
203731 MLBBAL 492436 9816314 481395 40 .225.309.372.680 .147.293 2810 .305 91 -5 +1 -3 +5 +14 1.3
203832 MLBBAL 475421 9315313 461365 20 .221.305.363.669 .143.292 2910 .300 88 -7 +0 -4 +5 +13 0.9
203933 MLBBAL 446395 8614311 431315 00 .218.302.352.654 .134.290 2910 .294 83 -8 +0 -4 +5 +13 0.5
204034 MLBBAL 401356 7512210 381214 00 .211.294.340.634 .129.288 309 .288 79 -10 +0 -5 +4 +11 0.1
204135 MLBBAL 347308 641028 331083 00 .208.291.331.622 .123.286 3110 .280 73 -11 +0 -6 +4 +10 -0.3
204236 MLBBAL 289257 52826 27933 00 .202.286.319.605 .117.283 329 .272 66 -11 +0 -6 +3 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 67946019 134222545181 640192679 9314 .223.306.366.671 .143.294 289 .301 88 -90 +13 -31 +73 +192 16.0
/ 162G 650576 12822417 611848 91 .222.305.363.668 .141.294 289 .301 88 -9 +1 -3 +7 +18 1.5

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
202317 ROKDSL Orioles Orange 1815 3110 251 20 .200.333.400.733 .200.300 2811 .330 110 +0 +0 +1 0.1
202418 ROKDSL Orioles Black 7052 4010 11184 82 .077.279.115.395 .038.114 2616 .213 22 -6 +1 +2 -0.3

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
Wander Frias (OGILVIE) 20 .201/.266/.289 .088.290 11 31% 7% 53 -0.1
Adalberto Mondesi
2015 · A
20 39→49 40→60 54→65 34 .196/.228/.285 .089.279 714 32% 4% 34 -2.8 .205/.237/.323 .118.291 1124 32% 4% 49 -1.8 .248/.279/.427.179.328194930%4%92+0.9
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
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
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
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
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
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
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
Shawn O'Malley
2008 · A
20 42→52 36→40 50→60 41 .198/.262/.265 .067.281 411 29% 6% 45 -2.1 .210/.283/.263 .053.291 123 26% 7% 53 -1.5 .259/.321/.357.098.32252320%7%89+0.6
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
Blake Perkins
2017 · A
20 40→50 36→50 43→55 41 .191/.242/.257 .066.264 47 28% 6% 33 -2.9 .204/.267/.288 .084.286 716 29% 7% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
Francisco Mejía
2016 · A
20 43→53 41→55 47→40 43 .211/.267/.303 .093.260 95 23% 6% 56 -1.3 .250/.290/.373 .123.301 134 21% 5% 85 +0.7 .258/.304/.423.165.30516121%5%101+0.9
Samad Taylor
2018 · A
20 45→53 37→50 51→65 41 .213/.268/.288 .076.300 410 29% 6% 53 -1.5 .183/.255/.284 .101.259 722 30% 8% 47 -1.9 .236/.312/.377.141.324164630%9%94+0.8
Willi Castro
2016 · A
19 42→52 38→50 50→55 37 .203/.246/.286 .083.279 610 29% 4% 43 -2.2 .226/.255/.320 .094.288 711 23% 3% 55 -1.4 .240/.326/.383.143.305132324%8%98+1.3
Henry Ramos
2012 · A
20 43→53 41→50 50 36 .211/.245/.308 .097.286 814 29% 4% 48 -1.9 .215/.257/.320 .105.287 99 27% 5% 56 -1.3 .251/.313/.394.142.31416724%7%96+0.9
Emmanuel Rivera
2016 · A
20 40→50 35→55 48→45 45 .185/.261/.247 .062.282 312 33% 9% 40 -2.4 .222/.269/.320 .098.293 77 25% 5% 61 -1.0 .246/.303/.412.166.29319422%7%97+1.1
Rosell Herrera
2013 · A
20 40→50 37→45 48→55 42 .193/.244/.266 .073.258 59 26% 6% 37 -2.7 .230/.275/.318 .088.304 810 26% 6% 63 -0.8 .248/.303/.338.090.31552421%7%77+0.1
Danny Santana
2011 · A
20 42→52 39→60 55 37 .205/.240/.297 .092.277 615 28% 4% 43 -2.2 .226/.262/.322 .096.301 616 26% 4% 58 -1.2 .244/.288/.452.208.303272229%5%102+1.2
Lane Thomas
2016 · A
20 43→51 37→55 51→55 42 .200/.259/.277 .077.294 39 32% 7% 46 -2.0 .194/.260/.302 .108.313 1013 38% 8% 54 -1.4 .248/.312/.427.179.308211325%7%107+2.0
Allan Castro
2023 · A
20 38→43 40→45 54→50 40 .186/.249/.285 .099.276 68 33% 6% 44 -2.1 .202/.269/.315 .113.278 912 29% 8% 61 -1.0 .202/.273/.316.115.271101428%8%60-0.8