Gregori CanoIF FCL Blue Jays
Age 22 L/R 6'0" / 180 lbs ROK HR +12%BB +4% Svc 0.0 · Ctrl thru 2037 peak 0.7 · 2031
wRC+†59
AVG/OBP/SLG.202 / .270 / .305
PA60
HR1
K%31
BB%8
MLB%0%
BAT: -2.7 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.0 runs (Positional adjustment)+0POSREP: +1.7 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
0.7peak
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+0.6$3M+$2M
2033Ext / FA-deal$1.0M+0.4$2M+$1M
2034Ext / FA-deal$1.0M+0.3$2M+$0.5M
2035Ext / FA-deal$3M
2036Ext / FA-deal$0.4M
2037Ext / FA-deal$0.6M
Totals $7M $2M -$5M
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
202218 ROKDSL Blue Jays 173150 26401 20732 20 .173.279.220.499 .047.325 4212 .235 38 -12 +0 +0 +0 +5 -0.7
202319 ROKFCL Blue Jays 116104 13301 11471 10 .125.216.183.398 .058.214 419 .193 6 -12 +0 +0 +0 +3 -0.9
202420 ROKFCL Blue Jays 10698 12300 6472 32 .122.189.153.342 .031.235 446 .161 -19 -14 -0 +0 +0 +3 -1.2
▸ 2026 Season
202622 MLBTOR 6054 11201 5191 10 .204.283.296.580 .093.288 328 .263 59 -3 +0 +0 +0 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%TOR 10998 21412 9331 20 .214.287.337.624 .122.290 308 .279 72 -3 +0 +0 +0 +3 0.0
202824 MLB 26%TOR 239215 46816 20692 41 .214.287.344.631 .130.291 298 .290 80 -5 +0 +0 +0 +7 0.2
202925 MLB 43%TOR 325291 661229 28933 51 .227.301.375.676 .148.293 299 .296 85 -5 +1 +0 +0 +9 0.4
203026 MLB 58%TOR 382342 7614210 331084 61 .222.298.363.661 .140.293 289 .300 88 -5 +1 +0 +0 +11 0.6
203127 MLB 76%TOR 411368 8215211 361174 61 .223.299.364.663 .141.294 289 .300 88 -6 +1 +0 +0 +12 0.7
203228 MLB 84%TOR 427382 8615312 381224 61 .225.302.374.676 .149.293 299 .299 87 -6 +1 -1 +0 +12 0.6
203329 MLB 90%TOR 429384 8415211 381244 51 .219.296.354.650 .135.292 299 .297 85 -7 +1 -1 +0 +12 0.4
203430 MLBTOR 427382 8315211 381254 40 .217.295.353.648 .136.291 299 .294 83 -8 +1 -2 +0 +12 0.3
203531 MLBTOR 418374 8014210 371244 20 .214.292.342.634 .128.289 309 .290 80 -9 +0 -3 +0 +12 0.0
203632 MLBTOR 403360 7613210 361224 00 .211.290.342.632 .131.288 309 .285 77 -11 +0 -4 +0 +11 -0.3
203733 MLBTOR 375336 701229 331163 00 .208.285.336.621 .128.286 319 .280 72 -12 +0 -4 +0 +11 -0.5
203834 MLBTOR 332297 601027 291053 00 .202.280.320.600 .118.284 329 .273 67 -12 +0 -5 +0 +9 -0.8
▸ Career Totals (MLE all levels + projections)
Career 47324235 89215923111 417144446 478 .211.288.338.626 .127.289 319 .284 75 -132 +6 -20 +0 +134 -1.2
/ 162G 650582 12222315 571986 61 .210.287.335.622 .125.288 309 .284 75 -18 +1 -3 +0 +18 -0.2

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
202218 ROKDSL Blue Jays 173136 35502 34512 20 .257.413.338.751 .081.393 2920 .353 128 +6 +0 +5 1.1
202319 ROKFCL Blue Jays 11698 18502 17331 10 .184.310.296.606 .112.254 2815 .286 77 -3 +0 +3 0.0
202420 ROKFCL Blue Jays 10692 17500 12332 32 .185.292.239.532 .054.288 3111 .256 54 -6 -0 +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
Gregori Cano (OGILVIE) 22 .202/.270/.305 .103.288 11 31% 8% 59 -0.1
Travis Blankenhorn
2019 · A
22 40→43 45→55 51→50 38 .201/.261/.328 .127.288 117 33% 6% 61 -1.0 .215/.262/.357 .142.295 169 32% 5% 69 -0.4 .211/.283/.380.168.27621631%8%81+0.3
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
Parker Meadows
2022 · A
22 37→47 41→55 44→55 41 .185/.244/.280 .095.257 99 31% 7% 41 -2.3 .218/.280/.374 .156.279 1716 27% 7% 82 +0.5 .225/.292/.400.175.278202126%8%91+1.1
Nick Maton
2019 · A
22 41 43→50 47→45 40 .205/.254/.316 .111.280 106 30% 6% 54 -1.4 .206/.270/.307 .101.282 98 28% 7% 59 -1.1 .214/.305/.368.154.26418425%10%88+0.6
Tirso Ornelas
2022 · A
22 40→50 38→50 48→45 44 .191/.257/.275 .084.274 55 31% 8% 46 -2.0 .236/.295/.354 .118.303 116 25% 7% 82 +0.5 .245/.303/.373.128.30214723%7%87+0.8
Enmanuel Valdez
2021 · A
22 39→46 42→60 46→45 40 .197/.250/.302 .104.268 109 30% 6% 50 -1.8 .217/.274/.390 .173.270 228 28% 7% 83 +0.6 .224/.290/.404.180.26824826%8%90+0.8
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5
Carlos Guzman
2008 · A
22 40→48 43→50 53→50 44 .197/.278/.309 .112.288 119 33% 8% 64 -0.8 .221/.269/.333 .112.308 129 31% 6% 65 -0.7 .235/.287/.332.097.30810326%6%70-0.2
Akil Baddoo
2021 · A
22 41→51 43→55 55 44 .198/.268/.314 .116.295 914 34% 8% 60 -1.0 .234/.308/.374 .140.313 1421 27% 10% 92 +1.2 .232/.314/.375.143.300152426%11%91+0.8
Grant Witherspoon
2019 · A
22 40→45 41→55 52→50 37 .196/.247/.291 .094.295 89 35% 6% 44 -2.1 .200/.250/.306 .106.278 1112 31% 6% 50 -1.7 .216/.275/.377.161.291211432%7%77+0.1
Mike Daniel
2007 · A
22 39→49 42→45 48→50 42 .193/.256/.293 .100.274 1011 32% 7% 50 -1.8 .232/.283/.346 .114.314 1114 28% 6% 74 -0.1 .239/.288/.351.112.317111527%6%75+0.0
Luis Liberato
2018 · A
22 43→51 44→50 50 40 .209/.260/.333 .124.300 107 33% 6% 61 -1.0 .216/.262/.350 .134.285 157 29% 6% 67 -0.5 .210/.278/.360.150.29016932%8%75+0.0
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
Chris Meyers
2022 · A
23 41→46 42→50 51→40 45 .201/.269/.304 .103.264 911 26% 7% 59 -1.1 .222/.280/.362 .140.293 167 29% 6% 79 +0.3 .226/.286/.378.152.29419329%6%82+0.3
Mike Papi
2015 · A
22 39→47 41→45 50→45 50 .193/.270/.290 .097.251 97 26% 9% 56 -1.3 .198/.278/.306 .108.280 96 30% 9% 63 -0.8 .211/.294/.337.126.28014428%10%76+0.1
Roman Pena
2009 · A
22 42→52 43→50 45 38 .208/.259/.316 .108.298 106 33% 6% 57 -1.2 .196/.258/.303 .107.276 108 31% 7% 53 -1.5 .233/.303/.392.159.31216729%9%92+0.8
Juan Silva
2013 · A
22 45→47 42→45 48→55 46 .215/.287/.318 .103.305 912 30% 9% 69 -0.4 .227/.304/.329 .102.305 823 26% 10% 79 +0.3 .224/.305/.319.095.29372924%10%74-0.1
Conner Capel
2019 · A
22 41→45 44→45 47→55 44 .208/.266/.330 .122.270 1111 27% 7% 63 -0.8 .210/.262/.328 .118.279 1211 28% 6% 61 -1.0 .216/.288/.339.123.271131924%8%71-0.2
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
Christopher Familia
2022 · A
22 43 38→55 48→45 43 .202/.271/.290 .088.281 510 28% 7% 56 -1.3 .214/.281/.369 .155.272 195 28% 7% 81 +0.4 .207/.271/.391.184.25326230%6%78+0.1