Edward DuranC Dunedin Blue Jays
Age 22 R/R 5'11" / 210 lbs A HR +12%BB +4% Svc 0.0 · Ctrl thru 2036 peak 1.9 · 2030
wRC+†70
AVG/OBP/SLG.214 / .291 / .310
PA320
HR4
K%26
BB%8
MLB%0%
BAT: -10.8 runs (wOBA-derived runs vs avg)-11BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.4 runs (Defensive runs vs avg)+0FLDPOS: +5.7 runs (Positional adjustment)+6POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.50+0.5WAR
Scouting · nowfuture
HIT
3042
PWR
3035
SPD
3030
FLD
4557
EYE
4945
trajectory · 10 yrs
1.8peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Pre-Arb$0.9M+1.9$18M+$17M
2032Pre-Arb$0.9M+1.8$17M+$16M
2033Pre-Arb$1.0M+1.6$16M+$15M
2034Arb-1$3M+1.4$14M+$12M
2035Arb-2$3M+1.1$11M+$8M
2036Arb-3$3M+0.8$4M+$0.8M
Totals $12M $81M +$68M

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 Marlins 6053 15400 493 31 .283.367.358.725 .075.341 157 .304 91 -1 +0 +0 +1 +2 0.2
202218 ROKDSL Miami 169153 26810 13393 31 .170.249.235.484 .065.228 238 .210 19 -15 +0 +0 +3 +5 -0.8
202319 A2 teams 154135 37602 16281 11 .274.355.363.718 .089.327 1810 .313 98 -0 -0 +0 +3 +4 0.7
202420 ADunedin Blue Jays 327286 631410 31686 153 .220.310.276.586 .056.284 219 .270 65 -13 +2 +0 +6 +9 0.4
202521 A3 teams 468423 921456 3114011 84 .217.288.317.605 .099.307 307 .271 66 -18 +0 +0 +8 +13 0.4
▸ 2026 Season
202622 MLBTOR 320286 611124 25826 41 .213.290.308.598 .094.284 268 .277 70 -11 +0 +0 +6 +9 0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 7%TOR 486434 961738 401219 62 .221.300.329.630 .108.285 258 .286 77 -13 +0 +1 +9 +14 1.1
202824 MLB 16%TOR 520462 10419310 441279 62 .225.305.344.649 .119.287 248 .294 83 -10 +0 +1 +9 +15 1.6
202925 MLB 24%TOR 520460 10619311 461269 62 .230.313.357.669 .126.288 249 .299 87 -8 +0 +1 +9 +15 1.8
203026 MLB 34%TOR 520460 10519311 461269 51 .228.311.354.665 .126.288 249 .301 89 -7 +1 +1 +9 +15 1.9
203127 MLB 43%TOR 520459 10519311 471269 51 .229.313.355.668 .126.288 249 .301 89 -7 +1 +1 +9 +15 1.9
203228 MLB 46%TOR 520459 10519311 471279 41 .229.313.355.668 .126.288 249 .300 88 -7 +0 +0 +9 +15 1.8
203329 MLB 49%TOR 520458 10419310 481299 30 .227.313.347.660 .120.287 259 .298 86 -8 +1 -1 +9 +15 1.6
203430 MLB 52%TOR 520458 10218310 481309 20 .223.309.341.649 .118.286 259 .295 84 -9 +0 -1 +9 +15 1.4
203531 MLB 56%TOR 504445 971739 461288 10 .218.303.330.633 .112.284 259 .291 81 -11 +0 -2 +9 +14 1.1
203632 MLB 66%TOR 481426 931639 441258 10 .218.303.333.637 .115.283 269 .287 77 -12 +0 -3 +9 +14 0.8
203733 MLB 77%TOR 440390 821427 401177 10 .210.295.310.605 .100.281 279 .281 73 -13 +0 -4 +8 +12 0.4
203834 MLB 87%TOR 384340 711226 351066 10 .209.294.309.603 .100.279 289 .275 69 -14 +0 -4 +7 +11 -0.0
203935 MLBTOR 325288 591025 29935 10 .205.289.306.594 .101.277 299 .268 63 -14 +0 -5 +6 +9 -0.4
▸ Career Totals (MLE all levels + projections)
Career 77586875 152327545130 6801947136 7620 .222.304.331.635 .110.288 259 .288 78 -190 +7 -16 +139 +220 16.3
/ 162G 650576 12823411 5716311 62 .222.304.333.638 .111.288 259 .288 78 -16 +0 -1 +12 +18 1.3

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 Marlins 6050 17500 763 31 .340.450.440.890 .100.386 1012 .406 169 +5 +0 +2 0.7
202218 ROKDSL Miami 169147 331010 19263 31 .224.325.306.632 .082.273 1511 .295 84 -3 +0 +5 0.2
202319 ADunedin Blue Jays 9377 23401 13131 10 .299.407.390.796 .091.338 1414 .358 132 +3 +0 +3 0.6
202319 ROKFCL Blue Jays 6150 17301 1170 01 .340.459.460.919 .120.381 1118 .416 176 +5 -0 +2 0.7
202420 ADunedin Blue Jays 327278 681520 39506 153 .245.350.313.663 .068.293 1512 .307 93 -3 +2 +9 0.9
202521 A+Vancouver Canadians 140122 28403 16262 10 .230.329.336.665 .107.269 1911 .307 93 -1 +0 +4 0.3
202521 ADunedin Blue Jays 291253 751155 26629 64 .296.382.439.821 .142.370 219 .365 138 +12 -0 +8 2.1
202521 INTLGlendale Desert Dogs 3732 5230 570 10 .156.270.406.677 .250.200 1914 .295 84 -1 +0 +1 0.1

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
Edward Duran (OGILVIE) 22 30→42 30→35 30 45 .214/.291/.310 .096.284 44 26% 8% 70 -0.2
Matt Kennelly
2011 · A
22 41 40 34→40 40 .203/.244/.287 .084.266 83 27% 5% 42 -2.3 .215/.268/.296 .081.279 64 24% 6% 55 -1.4 .225/.280/.287.062.2883221%6%54-0.6
Donny Sands
2018 · A
22 48 38→45 38→40 43 .229/.271/.304 .076.279 55 20% 5% 58 -1.2 .209/.254/.288 .079.286 54 27% 5% 46 -2.0 .228/.289/.352.124.27514222%8%77+0.1
Travis Harrison
2016 · AA
23 45→49 40 37→45 47 .214/.293/.309 .095.292 64 27% 8% 70 -0.3 .189/.272/.276 .087.284 69 32% 8% 53 -1.5 .162/.252/.242.080.25651035%8%34-2.0
Blake Ochoa
2008 · A
22 43 41→45 41→40 42 .210/.262/.307 .096.269 85 25% 5% 56 -1.3 .227/.284/.342 .115.280 114 22% 7% 74 -0.1 .236/.301/.377.140.27816221%7%89+0.3
Anderson Hidalgo
2011 · A
22 50 41→45 36→50 45 .242/.295/.345 .103.303 85 22% 6% 79 +0.3 .221/.271/.319 .098.288 73 24% 6% 63 -0.9 .207/.258/.299.091.2707125%5%48-1.1
Dante Bichette Jr.
2015 · AA
22 43→48 41→40 40 42 .211/.267/.310 .099.283 92 28% 6% 59 -1.1 .217/.272/.312 .095.286 83 26% 7% 61 -1.0 .239/.299/.331.092.2998322%7%74-0.0
Andy Paz
2014 · A
21 46 37→40 42→45 48 .215/.279/.290 .075.276 45 23% 8% 58 -1.2 .200/.260/.272 .072.277 55 27% 7% 45 -2.1 .210/.261/.258.048.2773624%6%38-0.7
Jhonny Pereda
2018 · A
22 46→48 35→45 40 46 .217/.276/.277 .060.276 34 22% 7% 53 -1.5 .219/.272/.290 .071.271 64 20% 7% 55 -1.4 .276/.346/.381.105.3659025%9%105+0.9
Niko Vasquez
2011 · A
22 42→41 41→50 42→45 47 .202/.282/.303 .101.284 84 30% 9% 63 -0.8 .197/.265/.307 .110.264 103 28% 8% 58 -1.2 .227/.282/.376.149.29019628%6%81+0.2
Franklin Tineo
2016 · A
21 37 38→45 41→50 46 .178/.258/.254 .076.251 57 29% 8% 41 -2.3 .189/.262/.277 .088.258 710 27% 8% 49 -1.8 .184/.261/.280.096.23981325%8%47-0.7
Jose Flores
2010 · A
22 40 43→45 39→40 46 .195/.272/.303 .108.278 104 32% 9% 60 -1.0 .194/.262/.292 .098.314 85 38% 7% 53 -1.5 .142/.212/.232.090.2498244%6%17-1.0
Luis Alvarez
2012 · A
22 45 39→45 43→45 44 .216/.274/.303 .087.270 65 22% 6% 59 -1.1 .220/.273/.344 .124.279 135 25% 5% 70 -0.3 .210/.253/.368.158.24921025%3%66-0.1
Daniel Robertson
2016 · AA
22 50→54 43→45 39→40 47 .243/.309/.358 .114.300 93 22% 7% 89 +1.0 .237/.316/.346 .109.306 94 24% 8% 89 +1.0 .234/.338/.350.116.30512425%11%96+0.8
Simon Vasquez
2009 · A
21 45 35→40 40→50 48 .211/.283/.271 .060.271 24 22% 7% 56 -1.3 .226/.286/.306 .080.281 37 19% 7% 65 -0.7 .253/.299/.341.088.3012916%5%79+0.1
Chris Valaika
2008 · A
22 48→56 43→45 37→40 38 .232/.278/.346 .114.305 103 27% 4% 72 -0.2 .241/.277/.355 .114.306 114 24% 4% 74 -0.1 .246/.276/.353.107.30510423%3%70-0.2
Dusty Ryan
2007 · A
22 41→47 40→50 41→40 41 .199/.262/.286 .087.294 85 33% 7% 50 -1.7 .209/.276/.335 .126.316 154 36% 8% 69 -0.4 .208/.285/.361.154.30817336%9%77+0.1
Jakson Reetz
2019 · A
23 40→34 40→60 39→45 42 .196/.270/.285 .090.278 85 31% 7% 55 -1.4 .198/.276/.316 .118.286 135 33% 7% 66 -0.6 .197/.277/.397.201.24526431%7%84+0.3
Óscar Hernández
2015 · A
22 41 44→55 41→40 41 .208/.256/.327 .119.262 114 25% 5% 59 -1.1 .201/.248/.321 .120.261 125 27% 5% 53 -1.5 .164/.214/.271.107.20912128%5%24-1.2
Brett Cumberland
2017 · A
22 39 39→50 38→30 36 .187/.257/.275 .088.292 74 36% 6% 46 -2.0 .195/.290/.326 .131.297 142 37% 7% 76 +0.0 .186/.292/.325.139.27916036%8%74-0.0
Wyatt Toregas
2007 · AA
24 45→38 42→45 38→40 43 .222/.272/.323 .102.275 93 23% 6% 64 -0.8 .227/.279/.346 .119.268 134 20% 6% 73 -0.1 .222/.276/.342.120.25415219%6%70-0.2