Aiva ArquetteSS Beloit Sky Carp
Age 22 R/R 6'5" / 220 lbs A+ HR -4%BB +3% Svc 0.0 · Ctrl thru 2034 peak 2.2 · 2031
wRC+†80
AVG/OBP/SLG.219 / .288 / .353
PA99
HR2
K%29
BB%8
MLB%4%
BAT: -2.2 runs (wOBA-derived runs vs avg)-2BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.2 runs (Defensive runs vs avg)-0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +2.8 runs (Replacement-level credit)+3REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
3548
PWR
4659
SPD
5653
FLD
4149
EYE
4348
trajectory · 10 yrs
2.2peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M+1.7$15M+$14M
2030Arb-2$0.9M+2.0$18M+$17M
2031Arb-3$0.9M+2.2$20M+$20M
2032Ext / FA-deal$4M+2.1$20M+$16M
2033Ext / FA-deal$7M+2.0$20M+$13M
2034Ext / FA-deal$9M+1.8$18M+$9M
Totals $22M $111M +$89M

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
202521 A+Beloit Sky Carp 117103 20401 13360 72 .194.284.262.547 .068.284 3111 .242 43 -7 +1 +0 +1 +3 -0.2
▸ 2026 Season
202622 MLBMIA 9990 20412 8281 21 .222.293.356.648 .133.291 288 .290 80 -2 +0 -0 +1 +3 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 15%MIA 170152 35615 14472 41 .230.304.382.685 .151.293 288 .307 93 -1 +0 -0 +2 +5 0.5
202824 MLB 29%MIA 285255 6111210 25773 62 .239.314.416.730 .176.295 279 .317 101 +0 +0 -0 +3 +8 1.1
202925 MLB 46%MIA 356318 7613213 32943 82 .239.314.415.730 .176.296 269 .324 106 +2 +1 -1 +4 +10 1.7
203026 MLB 61%MIA 403360 8615215 361064 82 .239.315.417.732 .178.297 269 .328 109 +4 +1 -1 +4 +11 2.0
203127 MLB 78%MIA 425379 9116216 391134 92 .240.318.420.737 .179.297 279 .328 109 +4 +1 -1 +5 +12 2.2
203228 MLB 85%MIA 436389 9216216 401164 92 .237.314.411.725 .175.297 279 .327 108 +4 +1 -1 +5 +12 2.1
203329 MLB 92%MIA 436389 9216216 401184 92 .237.314.411.725 .175.296 279 .325 107 +3 +1 -2 +5 +12 2.0
203430 MLBMIA 432385 9116216 401184 81 .236.315.413.728 .177.295 279 .322 104 +2 +1 -3 +5 +12 1.8
203531 MLBMIA 421375 8715215 391174 71 .232.311.403.714 .171.293 289 .318 102 +1 +1 -4 +5 +12 1.5
203632 MLBMIA 405361 8314214 371154 70 .230.308.396.705 .166.292 289 .313 98 -1 +1 -4 +4 +11 1.2
203733 MLBMIA 377336 7713213 351093 60 .229.307.396.703 .167.290 299 .308 94 -3 +1 -5 +4 +11 0.8
203834 MLBMIA 333297 6611211 30993 60 .222.300.384.684 .162.288 309 .301 88 -4 +1 -5 +4 +9 0.4
203935 MLBMIA 281252 54919 25872 50 .214.290.365.655 .151.286 319 .293 82 -6 +1 -6 +3 +8 0.0
204036 MLBMIA 225201 42716 20722 40 .209.287.343.630 .134.283 329 .284 75 -6 +1 -7 +2 +6 -0.3
204137 MLBMIA 163147 30514 14541 30 .204.278.333.611 .129.279 339 .273 67 -6 +1 -7 +2 +5 -0.6
▸ Career Totals (MLE all levels + projections)
Career 53644789 110319127182 487150648 10818 .230.308.395.703 .165.295 289 .313 97 -15 +14 -47 +57 +152 16.4
/ 162G 650580 13323322 591826 132 .229.307.393.700 .164.293 289 .313 97 -2 +2 -6 +7 +18 2.0

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
202521 A+Beloit Sky Carp 11799 24501 17270 72 .242.353.323.677 .081.319 2315 .313 98 -0 +1 +3 0.4

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
Aiva Arquette (OGILVIE) 22 35→48 46→59 56→53 48 .219/.288/.353 .134.291 22 29% 8% 80 +0.1
Jonathan India
2019 · A
22 43→51 45→50 51→50 45 .208/.290/.333 .125.296 1210 32% 8% 76 +0.0 .217/.304/.340 .123.297 1210 29% 9% 83 +0.6 .243/.342/.393.150.294171122%10%107+1.9
Zach Neto
2023 · AA
22 49→48 47→60 49→55 41 .240/.300/.376 .136.307 1412 26% 6% 90 +1.0 .246/.317/.423 .177.300 2119 25% 6% 111 +2.5 .248/.320/.446.198.298252425%6%113+2.3
Matt McLain
2022 · A
22 46→56 44→55 53→55 48 .222/.299/.339 .117.299 1119 28% 9% 80 +0.4 .233/.315/.415 .182.322 2023 32% 9% 107 +2.2 .229/.313/.400.171.309202330%9%99+1.5
Sean Rodríguez
2007 · AA
22 46→49 52→60 48→50 47 .234/.306/.402 .168.294 1912 27% 8% 99 +1.7 .228/.299/.402 .174.291 2111 28% 7% 97 +1.5 .238/.311/.439.201.293251227%7%107+1.7
Logan O'Hoppe
2022 · AAA
22 43→48 49→60 46→45 43 .224/.274/.364 .140.267 177 24% 6% 76 +0.1 .237/.307/.418 .181.277 256 24% 8% 105 +2.1 .241/.314/.433.192.28428425%8%109+1.6
Justyn-Henry Malloy
2022 · A
22 46→56 45→50 48→45 47 .224/.294/.345 .121.300 1310 29% 9% 79 +0.3 .233/.321/.379 .146.324 185 31% 11% 100 +1.7 .234/.340/.391.157.32018530%12%109+2.0
Connor Norby
2022 · A
22 48→49 43→55 49→50 45 .228/.300/.340 .113.324 1011 31% 8% 81 +0.4 .238/.298/.405 .167.308 2011 28% 7% 97 +1.5 .239/.300/.413.174.310211129%7%97+1.5
Paul DeJong
2016 · A
22 50 47→65 52→45 45 .246/.303/.385 .139.308 1313 24% 7% 93 +1.3 .239/.289/.419 .180.310 225 30% 5% 97 +1.5 .251/.316/.479.228.29331426%7%122+3.2
Hunter Goodman
2022 · A
22 46→47 42→65 50→40 43 .220/.291/.330 .111.304 97 29% 7% 75 -0.0 .215/.268/.415 .200.284 264 34% 6% 88 +0.9 .221/.275/.455.234.25932229%6%99+1.4
Agustín Ramírez
2023 · A
21 43→45 45→55 50 43 .213/.273/.339 .126.289 1210 30% 7% 69 -0.4 .229/.292/.389 .160.276 1913 24% 8% 90 +1.0 .230/.293/.405.176.264221622%7%92+1.1
Nick Senzel
2017 · A
22 48→56 44→50 51→50 47 .232/.297/.363 .132.298 1016 25% 8% 85 +0.7 .253/.307/.400 .147.331 1314 26% 7% 98 +1.6 .259/.313/.416.157.335151626%7%102+1.2
Brian Goodwin
2013 · AA
22 46→52 47→60 48→50 48 .228/.298/.366 .138.291 1413 26% 8% 87 +0.8 .216/.287/.334 .118.296 1014 28% 8% 74 -0.1 .243/.309/.437.195.311231128%8%105+1.3
Harrison Bader
2016 · A
22 48→55 48→55 51→55 41 .240/.291/.385 .145.301 1616 26% 5% 89 +0.9 .231/.286/.375 .144.313 1714 31% 5% 84 +0.6 .235/.328/.418.183.312211829%9%108+1.3
Kevin Cornelius
2016 · A
23 45 47→65 49→40 46 .224/.288/.357 .132.297 145 29% 8% 80 +0.4 .222/.282/.389 .167.329 203 36% 7% 86 +0.8 .202/.259/.380.178.30123039%7%71-0.1
Will Smith
2018 · A
23 40→50 45→60 48→45 45 .200/.283/.322 .122.270 138 30% 8% 70 -0.3 .208/.287/.393 .185.263 246 30% 9% 90 +1.0 .249/.351/.438.188.27323318%11%123+3.0
Andy Burns
2013 · A
22 44→54 47→50 53→55 44 .218/.289/.364 .146.294 1313 29% 8% 82 +0.5 .236/.286/.372 .136.293 1216 23% 6% 82 +0.5 .246/.291/.367.121.297101520%5%81+0.4
James Outman
2019 · A
22 40→49 47→60 53→50 39 .203/.260/.335 .132.285 1511 34% 6% 63 -0.9 .196/.265/.334 .138.273 1613 33% 7% 65 -0.7 .223/.317/.418.195.310251434%10%107+2.0
Zack Gelof
2022 · A
22 49→50 49→55 54→55 43 .237/.299/.390 .152.332 1716 32% 8% 93 +1.3 .231/.295/.403 .172.327 2119 34% 8% 95 +1.4 .226/.292/.399.173.315222434%8%90+0.9
Kyle Lewis
2018 · A
23 44→46 47→55 48→40 40 .219/.277/.347 .128.311 157 33% 6% 72 -0.2 .221/.275/.362 .141.317 165 34% 7% 76 +0.1 .237/.309/.392.156.33521633%9%95+0.8
Vinnie Catricala
2011 · A
22 48→58 47→55 46→45 43 .241/.299/.382 .141.298 156 24% 6% 92 +1.2 .241/.294/.385 .144.294 158 23% 6% 90 +1.0 .225/.277/.355.130.27614723%5%72-0.2