Estanlin CassianiCF San Jose Giants
Age 23 L/L 5'11" / 155 lbs A BB -3% Svc 0.0 · Ctrl thru 2036 peak 0.8 · 2030
wRC+†74
AVG/OBP/SLG.225 / .289 / .330
PA138
HR2
K%24
BB%7
MLB%0%
BAT: -4.1 runs (wOBA-derived runs vs avg)-4BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.5 runs (Positional adjustment)+0POSREP: +3.9 runs (Replacement-level credit)+4REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
5055
PWR
2833
SPD
4853
EYE
3641
trajectory · 10 yrs
0.8peak
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
2031Arb-3$0.9M+0.8$4M+$3M
2032Ext / FA-deal$0.9M+0.7$3M+$2M
2033Ext / FA-deal$1.0M+0.5$2M+$1M
2034Ext / FA-deal$0.6M+0.3$2M+$0.9M
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $4M $10M +$6M

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
202118 ROKDSL Giants Black 7064 16320 1113 101 .250.294.359.653 .109.302 161 .271 66 -3 +2 +0 +0 +2 0.1
202219 ROKDSL Giants Orange 195182 55210 8301 157 .302.335.324.659 .022.359 154 .295 84 -4 +0 +0 +1 +6 0.3
202320 ROKACL Giants Orange 191177 42810 11392 51 .237.289.294.583 .056.302 206 .264 60 -9 +1 +0 +1 +5 -0.2
202421 ASan Jose Giants 253225 49400 10578 71 .218.276.236.511 .018.287 234 .226 31 -20 +1 +0 +1 +7 -1.1
▸ 2026 Season
202623 MLBSF 138126 28512 9332 31 .222.285.325.610 .103.287 247 .282 74 -4 +0 +0 +0 +4 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%SF 165150 34613 12392 31 .227.293.340.633 .113.288 247 .291 81 -4 +0 +0 +1 +5 0.2
202825 MLB 25%SF 273246 571016 21634 51 .232.303.354.656 .122.289 238 .297 85 -4 +1 +0 +1 +8 0.5
202926 MLB 42%SF 345310 741328 27805 71 .239.310.371.681 .132.290 238 .300 88 -5 +1 +0 +1 +10 0.7
203027 MLB 58%SF 386347 811528 31895 82 .233.305.357.663 .124.290 238 .301 88 -5 +1 +0 +1 +11 0.8
203128 MLB 68%SF 408366 851529 33956 81 .232.306.358.664 .126.290 238 .300 88 -6 +1 -1 +1 +12 0.8
203229 MLB 77%SF 416373 871629 34986 81 .233.308.359.667 .126.289 248 .298 86 -7 +1 -1 +1 +12 0.7
203330 MLB 84%SF 417374 861529 341006 71 .230.304.353.657 .123.288 248 .295 84 -8 +1 -2 +1 +12 0.5
203431 MLBSF 409368 841528 331005 60 .228.300.345.646 .117.287 248 .291 81 -9 +1 -3 +1 +12 0.3
203532 MLBSF 395355 791427 32995 60 .223.296.332.628 .110.286 258 .287 78 -10 +1 -4 +1 +11 0.0
203633 MLBSF 368331 741327 29945 50 .224.296.338.634 .115.285 268 .282 74 -11 +1 -4 +1 +10 -0.2
203734 MLBSF 325292 631115 26864 50 .216.289.312.600 .096.284 268 .276 69 -11 +1 -5 +1 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 47544286 9941652481 351111369 10819 .232.300.338.639 .106.293 237 .287 78 -117 +14 -20 +17 +135 2.9
/ 162G 650586 13623311 481529 153 .232.300.338.638 .106.293 237 .287 78 -16 +2 -3 +2 +18 0.4

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
202118 ROKDSL Giants Black 7062 18420 383 101 .290.353.419.772 .129.333 114 .336 115 +1 +2 +2 0.5
202219 ROKDSL Giants Orange 195176 66320 14211 157 .375.424.415.839 .040.423 117 .373 144 +10 +0 +6 1.6
202320 ROKACL Giants Orange 191169 531211 19292 51 .314.389.414.804 .101.371 1510 .362 135 +8 +1 +5 1.4
202421 ASan Jose Giants 253222 50500 13398 71 .225.292.248.540 .023.269 155 .245 46 -15 +1 +7 -0.7

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
Estanlin Cassiani (OGILVIE) 23 50→55 28→33 48→53 41 .225/.289/.330 .106.287 23 24% 7% 74 -0.0
Gage Green
2016 · A
23 50 40→45 51→50 43 .239/.292/.335 .096.306 710 24% 6% 75 -0.0 .204/.266/.289 .085.278 79 28% 6% 53 -1.5 .175/.242/.246.071.2397828%6%30-1.2
Conner Crumbliss
2010 · A
23 49 40→45 50 50 .230/.312/.333 .103.294 710 23% 9% 84 +0.6 .224/.329/.316 .092.282 614 20% 13% 87 +0.8 .218/.329/.312.094.27471620%13%85+0.7
Nate Tenbrink
2010 · A
23 48→52 43→50 52→50 43 .233/.290/.347 .114.303 99 26% 6% 78 +0.2 .233/.300/.375 .142.307 1416 27% 8% 89 +1.0 .227/.302/.387.160.303162029%8%91+0.6
Ezequiel Pagan
2023 · A
23 48→54 45 52→50 43 .239/.288/.368 .128.285 139 21% 5% 82 +0.5 .228/.278/.333 .105.280 1111 22% 5% 69 -0.4 .214/.263/.312.098.264101122%4%54-0.8
Chris Pieters
2018 · A
23 46 40→45 52→55 46 .219/.288/.317 .098.289 614 25% 7% 69 -0.4 .209/.262/.298 .089.296 611 29% 6% 53 -1.5 .174/.209/.223.049.26301532%4%8-0.8
Austin Krum
2009 · A
23 47→51 41→40 48→50 44 .229/.282/.333 .104.289 98 23% 6% 70 -0.3 .228/.292/.310 .082.299 513 24% 8% 69 -0.4 .228/.295/.298.070.29831723%8%65-0.7
Marty Costes
2019 · A
23 47→57 42→45 52→50 46 .224/.305/.337 .112.272 811 20% 6% 82 +0.5 .229/.308/.337 .108.278 1010 20% 8% 84 +0.6 .241/.330/.348.107.31381623%9%93+0.6
Brent Keys
2013 · A
23 54→64 38→30 51→50 48 .255/.302/.338 .083.289 514 14% 6% 79 +0.3 .264/.323/.324 .060.298 311 12% 8% 85 +0.7 .273/.341/.313.040.30511010%9%87+0.6
Shayne Fontana
2021 · A
24 47 40→45 52→55 45 .224/.291/.326 .102.294 613 25% 7% 72 -0.2 .205/.287/.315 .110.296 1110 32% 9% 69 -0.4 .222/.305/.326.104.296111927%8%77+0.1
Carlos Luis
2023 · A
23 49→53 41→45 48→40 44 .236/.289/.335 .100.315 74 27% 7% 74 -0.1 .226/.273/.325 .099.301 94 27% 6% 64 -0.8 .214/.255/.301.086.28010026%4%48-1.2
Jimmy Cesario
2009 · A
23 48→55 39→45 48→50 41 .229/.284/.316 .087.297 68 24% 5% 67 -0.5 .249/.288/.355 .106.301 910 20% 4% 79 +0.3 .263/.303/.370.107.31781019%4%86+0.6
Nicky Lopez
2017 · A
22 47→57 42→40 56→55 51 .229/.303/.336 .107.265 917 17% 8% 81 +0.4 .248/.301/.331 .083.281 514 13% 6% 77 +0.1 .256/.317/.334.078.29441413%8%82+0.4
Michael Gigliotti
2019 · A
23 50 42→40 51→55 50 .241/.311/.348 .107.300 816 22% 8% 87 +0.8 .222/.285/.308 .086.299 522 26% 7% 66 -0.6 .192/.303/.306.114.265112429%11%73-0.1
Collin Burns
2023 · A
23 48 40→45 49→55 43 .232/.282/.325 .093.291 713 22% 5% 69 -0.4 .205/.261/.287 .082.279 617 27% 6% 50 -1.8 .180/.240/.246.066.25452129%6%27-1.5
Yoel Yanqui
2019 · A
23 52→53 38→40 48→50 44 .245/.296/.329 .084.319 59 24% 6% 75 -0.0 .222/.279/.324 .102.308 812 29% 7% 66 -0.6 .198/.264/.313.115.283111332%8%56-0.7
Kelby Tomlinson
2012 · A
22 49→59 40 55→60 44 .234/.284/.337 .103.297 613 23% 6% 72 -0.2 .216/.269/.274 .058.292 221 25% 6% 49 -1.8 .274/.334/.339.065.33432417%7%89+0.7
John Mora
2016 · A
23 49→48 40 51→50 49 .231/.293/.334 .104.278 513 18% 7% 76 +0.0 .221/.281/.313 .092.287 59 23% 7% 65 -0.7 .214/.273/.299.085.2875925%7%55-1.2
Hoy Park
2019 · A
23 44→50 39→45 56→55 49 .210/.288/.294 .085.276 617 25% 9% 63 -0.8 .228/.306/.323 .095.301 716 25% 9% 79 +0.3 .219/.306/.338.119.290131827%10%79+0.2
Alan Roden
2023 · A
23 47→57 41→45 51→50 51 .224/.308/.323 .099.271 812 20% 8% 80 +0.4 .255/.331/.375 .120.298 1115 17% 8% 103 +1.9 .258/.335/.383.125.300121417%8%103+1.4
Andrew Aplin
2014 · A
23 45→55 42→40 51→55 52 .216/.282/.322 .106.248 914 17% 8% 68 -0.5 .228/.300/.312 .084.277 622 19% 9% 72 -0.2 .225/.299/.296.070.28352720%9%66-0.5