Alexander BenuaSS Visalia Rawhide
Age 22 R/R 6'2" / 185 lbs A HR -5% Svc 0.0 · Ctrl thru 2036 peak 1.0 · 2030
wRC+†62
AVG/OBP/SLG.201 / .272 / .311
PA261
HR5
SB5
K%32
BB%8
MLB%0%
BAT: -11.2 runs (wOBA-derived runs vs avg)-11BATRUN: +0.8 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.8 runs (Positional adjustment)+3POSREP: +7.4 runs (Replacement-level credit)+7REPTotal WAR: -0.00-0.0WAR
Scouting · nowfuture
HIT
3535
PWR
3535
SPD
4545
EYE
4645
trajectory · 10 yrs
1.0peak
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+1.0$9M+$8M
2032Ext / FA-deal$0.9M+0.9$4M+$3M
2033Ext / FA-deal$1.0M+0.8$4M+$3M
2034Ext / FA-deal$1M+0.5$3M+$2M
2035Ext / FA-deal$1M+0.3$2M+$0.6M
2036Ext / FA-deal$7M
Totals $12M $22M +$9M
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
202117 ROKDSL D-backs 1 152134 15310 9517 111 .112.207.149.356 .037.176 346 .164 -16 -20 +2 +0 +2 +4 -1.2
202218 ROKACL D-backs Black 206182 35711 12669 215 .192.276.258.534 .066.291 326 .232 36 -15 +2 +0 +2 +6 -0.5
202319 ROKACL D-backs Red 8273 11111 5293 33 .151.235.233.467 .082.233 356 .198 10 -8 -1 +0 +1 +2 -0.6
202420 ROKACL D-backs 161144 30514 10583 111 .208.274.340.614 .132.302 366 .267 63 -7 +2 +0 +2 +5 0.1
202521 A2 teams 272241 42732 201046 72 .174.255.253.508 .079.290 387 .226 32 -21 +1 +0 +3 +8 -1.0
▸ 2026 Season
202622 MLBARI 261236 48925 20823 51 .203.274.322.596 .119.285 318 .266 62 -11 +1 +0 +3 +7 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%ARI 309277 581126 25934 51 .209.284.329.613 .119.286 308 .278 71 -10 +1 +0 +3 +9 0.3
202824 MLB 26%ARI 388348 741429 321145 72 .213.288.342.630 .129.287 298 .286 77 -10 +1 +0 +4 +11 0.6
202925 MLB 43%ARI 432387 8316210 371245 72 .214.291.344.635 .129.288 299 .291 81 -9 +1 +0 +5 +12 0.8
203026 MLB 58%ARI 459410 9017311 401316 82 .220.298.356.654 .137.289 299 .293 83 -9 +1 +0 +5 +13 1.0
203127 MLB 76%ARI 470419 9217312 421356 82 .220.300.360.660 .141.289 299 .293 83 -9 +1 +0 +5 +13 1.0
203228 MLB 84%ARI 472421 9117311 421366 71 .216.296.349.646 .133.289 299 .292 82 -10 +1 -1 +5 +13 0.9
203329 MLBARI 467416 8917211 421366 71 .214.295.344.639 .130.288 299 .290 80 -10 +1 -1 +5 +13 0.8
203430 MLBARI 459410 8716211 411355 61 .212.292.341.633 .129.286 299 .287 78 -11 +1 -2 +5 +13 0.5
203531 MLBARI 446398 8215210 401335 50 .206.287.329.616 .123.285 309 .283 75 -13 +1 -3 +5 +13 0.3
203632 MLBARI 429382 791529 391315 40 .207.289.327.616 .120.283 319 .279 71 -14 +1 -4 +5 +12 0.0
203733 MLBARI 400356 721328 361255 30 .202.285.317.602 .115.281 319 .273 67 -15 +1 -4 +4 +11 -0.3
203834 MLBARI 356317 631127 321144 30 .199.280.312.593 .114.280 329 .267 62 -15 +1 -5 +4 +10 -0.6
▸ Career Totals (MLE all levels + projections)
Career 62215551 114121136128 524189793 12825 .206.285.326.611 .120.284 308 .275 69 -218 +16 -20 +67 +176 2.1
/ 162G 650580 11922413 5519810 133 .205.286.324.610 .119.284 308 .275 69 -23 +1 -2 +7 +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
202117 ROKDSL D-backs 1 152128 20510 15357 111 .156.280.211.491 .055.211 2310 .239 41 -10 +2 +4 -0.4
202218 ROKACL D-backs Black 206174 471111 20459 215 .270.374.362.736 .092.354 2210 .336 115 +4 +2 +6 1.2
202319 ROKACL D-backs Red 8270 15211 8203 33 .214.321.314.635 .100.286 2410 .293 82 -2 -1 +2 0.0
202420 ROKACL D-backs 161136 41824 18383 111 .301.395.478.873 .176.378 2411 .379 148 +9 +2 +5 1.5
202521 AVisalia Rawhide 204172 43733 23533 61 .250.347.378.725 .128.336 2611 .321 104 +1 +1 +6 0.8
202521 ROKACL D-backs 6860 12300 5203 11 .200.294.250.544 .050.300 297 .260 57 -3 -0 +2 -0.2

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
Alexander Benua (OGILVIE) 22 35 35 45 45 .201/.272/.311 .110.285 55 32% 8% 62 -0.4
Alexander Campos
2022 · A
22 43 42→40 46→45 48 .209/.289/.317 .108.281 96 28% 9% 70 -0.3 .221/.304/.311 .090.312 86 29% 9% 75 -0.0 .236/.329/.308.072.3307628%11%83+0.2
Glenn Santiago
2023 · A
22 41 41→40 46→45 40 .203/.258/.301 .098.286 88 31% 6% 52 -1.6 .200/.266/.289 .089.294 89 32% 7% 53 -1.5 .183/.256/.260.077.2697832%8%40-1.1
Aaron McKeithan
2022 · A
22 41 39→40 49→40 40 .198/.263/.282 .084.277 67 29% 6% 50 -1.7 .218/.296/.304 .086.283 84 24% 7% 70 -0.3 .219/.302/.289.070.2807122%7%69-0.2
Corey Joyce
2021 · A
22 44 40→45 50 40 .212/.268/.307 .095.307 88 32% 6% 58 -1.2 .203/.290/.313 .110.295 1112 32% 9% 70 -0.3 .212/.315/.318.105.30191429%10%80+0.2
Anderson Gomes
2007 · A
22 41→38 43→45 47→50 39 .205/.252/.313 .108.275 109 29% 5% 53 -1.5 .220/.270/.333 .113.292 117 27% 6% 66 -0.6 .223/.275/.335.112.29012526%6%67-0.2
Tyler Grimes
2013 · A
23 38 42→40 47→40 41 .187/.266/.294 .107.282 98 35% 8% 55 -1.4 .206/.282/.301 .095.307 75 33% 7% 63 -0.8 .207/.285/.293.087.3116232%7%60-0.6
Tyler Kolodny
2010 · A
22 40→34 44→45 49→50 40 .200/.267/.320 .119.267 128 29% 6% 63 -0.9 .206/.277/.341 .135.271 149 29% 6% 72 -0.2 .206/.284/.354.148.258171026%5%76+0.0
Braulio Vasquez
2021 · A
22 40 39→40 44→65 37 .193/.250/.274 .080.298 77 36% 6% 42 -2.3 .205/.278/.298 .093.301 729 32% 7% 61 -1.0 .200/.277/.293.093.28774230%7%55-0.6
Rudy van Heydoorn
2010 · A
21 33 41→45 41→50 41 .168/.252/.259 .091.262 98 37% 8% 41 -2.3 .197/.275/.307 .110.307 115 36% 9% 63 -0.9 .204/.303/.338.134.29214232%11%83+0.2
Francisco Acuna
2022 · A
22 39→47 39→40 48→50 44 .186/.276/.275 .089.270 610 31% 8% 56 -1.3 .202/.273/.299 .097.277 711 28% 6% 59 -1.1 .213/.285/.313.100.28291626%7%64-0.4
Marcus Greene Jr.
2017 · A
22 35 46→50 45→40 40 .185/.251/.313 .128.265 155 35% 7% 53 -1.5 .209/.268/.329 .120.279 134 28% 7% 65 -0.7 .211/.271/.321.110.27512227%7%61-0.4
Andy Paz
2015 · A
22 39 38→40 45 45 .191/.251/.267 .076.256 55 26% 7% 40 -2.4 .211/.266/.279 .068.290 46 27% 7% 50 -1.8 .235/.280/.283.048.3033722%6%52-0.5
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
Jack Brannigan
2023 · A
22 43 43→50 48→50 43 .207/.283/.317 .110.309 1113 34% 8% 68 -0.5 .202/.282/.359 .157.299 1917 37% 8% 79 +0.3 .185/.268/.344.160.263201836%8%67-0.3
Franklin Tineo
2017 · A
22 36 37→45 45→50 45 .177/.245/.250 .073.241 59 27% 7% 34 -2.8 .198/.276/.297 .099.276 810 29% 8% 60 -1.0 .201/.298/.325.124.262101225%10%74-0.0
Tucker Mitchell
2023 · A
22 38 43→50 51→45 35 .183/.259/.287 .104.311 1111 42% 6% 51 -1.7 .198/.263/.310 .112.287 137 34% 6% 58 -1.2 .185/.242/.280.095.26113533%5%38-1.0
Chris Roller
2019 · A
22 40 41→45 51→55 43 .194/.269/.295 .102.283 813 32% 8% 56 -1.3 .206/.272/.316 .110.289 812 30% 7% 63 -0.9 .179/.267/.290.111.261111933%9%54-0.8
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
D' Vontrey Richardson
2011 · A
23 42→40 40 45→50 38 .200/.260/.298 .098.310 710 36% 6% 53 -1.5 .230/.277/.322 .092.327 511 29% 5% 65 -0.7 .249/.288/.338.090.32551624%4%70-0.2
Daniel Berg
2007 · A
22 38 42→40 44→40 41 .187/.255/.292 .105.267 95 32% 7% 50 -1.8 .195/.263/.279 .084.292 64 33% 7% 50 -1.8 .189/.261/.262.073.2905234%7%41-1.2