Maddox Latta2B Vancouver Canadians
Age 23 R/R 5'11" / 193 lbs A+ HR +12%BB +4% Svc 0.0 · Ctrl thru 2035 peak 0.9 · 2030
wRC+†66
AVG/OBP/SLG.210 / .274 / .316
PA103
HR2
K%30
BB%7
MLB%0%
BAT: -3.9 runs (wOBA-derived runs vs avg)-4BATRUN: -0.9 runs (SB/CS + UBR baserunning)-1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.4 runs (Positional adjustment)+0POSREP: +2.9 runs (Replacement-level credit)+3REPTotal WAR: -0.20-0.2WAR
trajectory · 10 yrs
0.9peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+0.9$4M+$3M
2031Arb-3$0.9M+0.8$4M+$3M
2032Ext / FA-deal$0.9M+0.7$3M+$2M
2033Ext / FA-deal$1M+0.5$2M+$1M
2034Ext / FA-deal$1M+0.3$2M+$0.5M
2035Ext / FA-deal$7M
Totals $12M $15M +$3M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202522 ADunedin Blue Jays 10092 20310 7371 92 .217.280.272.552 .054.364 377 .246 46 -6 +1 +0 +0 +3 -0.2
▸ 2026 Season (actual · ROS · total)
202623 A+Vancouver Canadians 5951 11102 8200 03 .216.322.353.675 .137.310 3414 .270 65 -2 -1 +0 +0 +2 -0.2
ROS23 MLBTOR 4440 8101 4130 10 .200.273.300.573 .100.293 309 .274 68 -2 +0 +0 +0 +1 0.0
TOT23 MLBTOR 10391 19203 12330 13 .209.301.330.631 .121.291 3212 .272 66 -4 -1 +0 +0 +3 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%TOR 186165 37614 17472 32 .224.304.345.650 .121.283 259 .294 83 -3 -0 +0 +1 +5 0.2
202825 MLB 25%TOR 280249 581027 26693 53 .233.313.373.686 .141.285 259 .302 89 -3 -0 +0 +1 +8 0.5
202926 MLB 43%TOR 345306 711229 33853 64 .232.313.373.685 .141.286 2510 .306 93 -3 -0 +0 +1 +10 0.8
203027 MLB 58%TOR 379337 7713210 36943 64 .228.309.368.676 .139.286 259 .307 93 -3 -0 +0 +1 +11 0.9
203128 MLB 68%TOR 399354 8114210 38994 64 .229.311.364.675 .136.286 2510 .306 92 -4 -0 -1 +1 +11 0.8
203229 MLB 77%TOR 404358 8114210 391024 53 .226.309.360.670 .134.285 2510 .304 91 -4 -0 -1 +1 +11 0.7
203330 MLB 84%TOR 404358 8114210 391034 43 .226.309.360.670 .134.284 2510 .301 88 -5 -0 -2 +1 +11 0.5
203431 MLB 91%TOR 395351 7813210 381023 22 .222.304.356.660 .134.282 2610 .297 85 -7 -0 -3 +1 +11 0.3
203532 MLBTOR 380337 741229 371013 12 .220.302.347.650 .128.281 2710 .292 82 -8 -1 -4 +1 +11 0.0
203633 MLBTOR 352312 671128 34963 01 .215.298.340.638 .125.279 2710 .287 78 -9 -0 -4 +1 +10 -0.2
203734 MLBTOR 310275 56916 30872 01 .204.287.309.596 .105.277 2810 .280 73 -10 -0 -5 +1 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 39783534 7891322194 378103535 4831 .223.305.352.657 .129.287 2610 .297 85 -66 -3 -20 +14 +113 3.9
/ 162G 650577 12922315 621696 85 .224.305.350.656 .127.288 2610 .297 85 -11 -0 -3 +2 +18 0.6

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
202522 ADunedin Blue Jays 10090 24410 9251 92 .267.340.333.673 .067.369 259 .310 95 -1 +1 +3 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
Maddox Latta (OGILVIE) 23 .210/.274/.316 .106.290 22 30% 7% 64 -0.1
Luis Santana
2022 · AA
23 40 42→45 47→50 40 .200/.259/.300 .100.270 1010 29% 6% 53 -1.5 .216/.274/.342 .126.277 149 26% 6% 70 -0.3 .207/.266/.330.122.25815725%5%61-0.6
Blaze Alexander
2022 · A
23 38→48 42→50 52→50 39 .185/.256/.288 .103.292 1114 38% 7% 49 -1.8 .218/.290/.354 .136.331 1511 36% 7% 81 +0.4 .220/.308/.345.126.328131034%8%84+0.4
Sean Bouchard
2019 · A
23 38→44 44→55 48→50 37 .196/.244/.314 .117.275 1213 33% 5% 50 -1.7 .201/.254/.332 .131.296 1310 35% 6% 59 -1.1 .223/.323/.415.191.292211629%11%106+1.0
Keon Broxton
2013 · A
23 41→50 42→55 52→60 39 .199/.257/.303 .104.305 1016 36% 7% 53 -1.5 .215/.269/.344 .129.326 1317 36% 7% 68 -0.5 .225/.301/.390.165.341173836%9%92+1.0
John Hester
2007 · A
23 42 43→55 50 41 .206/.271/.327 .122.299 107 33% 7% 65 -0.7 .224/.267/.365 .141.298 147 29% 5% 72 -0.2 .249/.292/.416.167.322151027%5%94+0.7
Jake Rogers
2018 · A
23 41→40 44→55 47→45 42 .205/.269/.327 .122.280 1110 30% 7% 65 -0.7 .196/.267/.342 .146.271 177 33% 8% 69 -0.4 .206/.283/.412.206.26529133%8%91+0.6
Sam McWilliams
2021 · A
23 44→53 40→55 52→50 40 .207/.266/.301 .094.307 711 33% 7% 56 -1.3 .237/.296/.383 .146.369 159 37% 7% 90 +1.0 .244/.305/.407.163.380181038%7%98+1.1
Tyler Fitzgerald
2021 · A
23 46→54 39→55 52→55 42 .221/.271/.307 .086.303 612 28% 6% 59 -1.1 .204/.266/.358 .154.312 1915 39% 6% 72 -0.2 .234/.294/.402.168.313202331%7%93+1.0
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
Alonzo Harris
2012 · A
23 43→50 41→55 51→60 38 .210/.245/.302 .092.271 813 26% 4% 46 -2.0 .222/.268/.314 .092.286 723 23% 6% 59 -1.1 .240/.296/.401.161.286193522%7%92+0.9
Vinny Capra
2019 · A
23 45→48 39→45 50 43 .217/.266/.304 .087.287 58 26% 6% 56 -1.3 .211/.263/.303 .092.282 712 26% 6% 55 -1.4 .251/.319/.370.119.31911924%8%92+0.5
Drew Stubbs
2008 · A
23 44→54 42→50 49→60 43 .212/.283/.321 .109.310 1014 33% 8% 69 -0.4 .231/.299/.347 .116.326 1026 30% 8% 82 +0.5 .241/.313/.367.126.326133728%9%90+1.1
Matt Vierling
2021 · A
24 40→50 40→50 49→50 39 .198/.251/.291 .093.266 814 28% 5% 46 -2.0 .238/.295/.355 .117.299 1214 23% 7% 82 +0.5 .252/.313/.388.135.304131021%7%95+1.2
Eduardo Valencia
2023 · A
23 44→54 42→50 49→30 45 .215/.282/.315 .100.276 105 25% 7% 67 -0.5 .222/.280/.345 .123.283 144 26% 7% 73 -0.1 .250/.305/.416.166.30422025%6%100+1.0
Otto Kemp
2023 · A
23 45→48 40→50 49→50 42 .207/.285/.298 .091.321 78 35% 8% 64 -0.8 .216/.303/.345 .129.303 1214 31% 8% 85 +0.7 .223/.310/.377.154.304161530%7%94+1.1
Charles Leblanc
2019 · A
23 44→53 40→50 48→45 41 .214/.265/.306 .092.296 86 29% 6% 56 -1.3 .213/.264/.309 .096.306 95 31% 6% 56 -1.3 .220/.306/.364.144.31017732%10%86+0.6
Adrian Del Castillo
2023 · A
23 36→45 43→55 52→40 41 .184/.246/.294 .110.257 107 32% 7% 46 -2.0 .210/.280/.351 .141.289 154 31% 8% 76 +0.0 .218/.292/.382.164.29319131%9%86+0.5
P.J. Higgins
2016 · A
23 44→54 41→45 54→40 42 .215/.265/.321 .106.286 88 27% 6% 59 -1.1 .230/.300/.300 .070.287 34 19% 8% 69 -0.4 .241/.304/.366.126.30713324%8%87+0.5
Wynton Bernard
2014 · A
23 43→53 39→45 49→60 41 .205/.262/.295 .090.292 610 31% 6% 52 -1.6 .261/.308/.354 .093.324 524 20% 6% 86 +0.8 .270/.315/.362.092.32952819%6%86+0.7
Mark Mathias
2018 · AA
23 45→46 39→50 52→50 42 .213/.278/.307 .095.298 69 29% 6% 63 -0.8 .219/.288/.341 .122.285 1011 25% 7% 76 +0.1 .243/.319/.380.137.317151726%9%97+0.9