Daniel VazquezSS Northwest Arkansas Naturals
Age 22 R/R 6'2" / 150 lbs AA HR -5%BB +4% Svc 0.0 · Ctrl thru 2034 peak 1.4 · 2030
wRC+†43
AVG/OBP/SLG.193 / .259 / .255
PA320
HR2
SB15
K%30
BB%8
MLB%2%
BAT: -20.7 runs (wOBA-derived runs vs avg)-21BATRUN: +2.1 runs (SB/CS + UBR baserunning)+2RUNFLD: +1.2 runs (Defensive runs vs avg)+1FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -0.50-0.5WAR
Scouting · nowfuture
HIT
4545
PWR
4545
SPD
5555
FLD
5555
EYE
4853
trajectory · 10 yrs
1.1peak
2030

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+1.1$10M+$9M
2030Arb-2$0.9M+1.4$13M+$12M
2031Arb-3$0.9M+1.4$13M+$12M
2032Ext / FA-deal$2M+1.3$12M+$10M
2033Ext / FA-deal$3M+1.1$11M+$7M
2034Ext / FA-deal$3M+0.8$4M+$0.6M
Totals $12M $63M +$51M

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 Royals Blue 118107 12211 9490 40 .112.181.178.359 .065.186 428 .154 -24 -17 +1 +0 +1 +3 -1.1
202218 AColumbia Fireflies 327304 47800 171280 105 .155.199.181.380 .026.261 395 .170 -12 -41 +0 +0 +4 +9 -2.9
202319 AColumbia Fireflies 471423 741112 391583 3210 .175.249.220.469 .045.272 348 .216 24 -41 +2 +0 +5 +13 -2.0
202420 A2 teams 380343 65900 311251 145 .190.259.216.474 .026.294 338 .220 27 -32 +1 +0 +4 +11 -1.6
202521 A+4 teams 607554 1202352 431621 3810 .217.274.287.561 .070.298 277 .250 49 -35 +4 +0 +7 +17 -0.8
▸ 2026 Season (actual · ROS · total)
202622 AANorthwest Arkansas Naturals 7667 15101 6220 61 .224.288.284.571 .060.318 298 .240 42 -5 +1 +0 +1 +2 -0.1
ROS22 MLBKC 244222 45712 19721 92 .203.269.270.539 .068.283 308 .242 43 -16 +1 +1 +3 +7 -0.4
TOT22 MLBKC 320289 60813 25941 153 .208.273.273.546 .066.295 298 .241 43 -21 +2 +1 +3 +9 -0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 9%KC 561506 1061727 481382 215 .209.281.292.573 .083.270 259 .262 59 -26 +2 +3 +6 +16 0.1
202824 MLB 18%KC 599538 11619210 531453 226 .216.290.314.604 .099.273 249 .274 68 -22 +2 +3 +6 +17 0.7
202925 MLB 26%KC 622558 12220212 561493 236 .219.293.326.620 .108.275 249 .282 74 -18 +2 +3 +7 +18 1.1
203026 MLB 35%KC 633567 12620313 581513 226 .222.298.337.635 .115.276 249 .286 77 -16 +2 +3 +7 +18 1.4
203127 MLB 44%KC 636569 12520213 591523 225 .220.296.330.627 .111.276 249 .286 77 -16 +2 +3 +7 +18 1.4
203228 MLB 47%KC 633566 12420213 591533 215 .219.296.330.627 .111.276 249 .285 76 -17 +2 +2 +7 +18 1.3
203329 MLB 50%KC 624557 12120212 591523 194 .217.296.325.621 .108.275 249 .283 75 -18 +2 +2 +7 +18 1.1
203430 MLB 52%KC 614548 11819212 581523 174 .215.294.323.617 .108.273 259 .280 72 -19 +2 +1 +7 +17 0.8
203531 MLB 56%KC 601537 11418211 561513 142 .212.290.315.605 .102.272 259 .276 69 -21 +2 +0 +6 +17 0.5
203632 MLB 60%KC 583521 10917210 551502 112 .209.287.307.594 .098.270 269 .271 66 -23 +1 -1 +6 +17 0.1
203733 MLB 63%KC 553495 1021629 511462 91 .206.283.301.584 .095.269 269 .266 62 -24 +1 -1 +6 +16 -0.2
203834 MLB 65%KC 505451 911427 471372 70 .202.280.288.568 .086.267 279 .260 57 -24 +1 -2 +5 +14 -0.6
▸ Career Totals (MLE all levels + projections)
Career 93118366 173728033136 817247038 31578 .208.281.298.579 .090.275 279 .263 60 -425 +32 +17 +100 +264 -1.3
/ 162G 650584 1212029 571723 225 .207.281.295.576 .087.275 269 .263 60 -30 +2 +1 +7 +18 -0.1

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 Royals Blue 118102 19311 14310 40 .186.284.265.549 .078.250 2612 .254 53 -6 +1 +3 -0.2
202218 AColumbia Fireflies 327293 571000 28860 105 .195.265.229.493 .034.270 269 .229 34 -25 +0 +9 -1.6
202319 AColumbia Fireflies 471400 891513 621073 3210 .223.331.287.619 .065.295 2313 .289 79 -11 +2 +13 0.5
202420 AColumbia Fireflies 325277 701000 43721 125 .253.355.289.644 .036.338 2213 .301 89 -4 +0 +9 0.6
202420 INTLSurprise Saguaros 5547 14300 7130 20 .298.389.362.751 .064.400 2413 .340 118 +1 +0 +2 0.3
202521 AANorthwest Arkansas Naturals 2121 4000 060 01 .190.190.190.381 .000.267 290 .172 -10 -3 -0 +1 -0.2
202521 A+Quad Cities River Bandits 463404 1052351 48931 267 .260.339.349.688 .089.329 2010 .308 94 -3 +2 +13 1.3
202521 ROKACL Royals 2522 7201 370 10 .318.400.545.945 .227.429 2812 .414 175 +2 +0 +1 0.3
202521 INTLSurprise Saguaros 9879 26502 19200 112 .329.459.468.928 .139.421 2019 .419 179 +9 +1 +3 1.3

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
Daniel Vazquez (OGILVIE) 22 45 45 55 53 .193/.259/.255 .062.279 29 30% 8% 41 -1.3
Derrik Gibson
2012 · A
22 43→53 35→40 53→55 44 .202/.258/.259 .056.269 219 24% 6% 40 -2.4 .216/.275/.278 .062.294 215 25% 7% 53 -1.5 .249/.312/.317.069.31631120%7%75+0.0
Kristopher Negrón
2008 · A
22 41→50 37→45 54→55 42 .198/.259/.269 .070.263 517 26% 6% 44 -2.1 .219/.279/.315 .096.280 720 23% 6% 65 -0.7 .225/.289/.349.123.323141432%7%74-0.0
Luis Vázquez
2022 · AAA
22 45→46 39→50 52→45 39 .215/.269/.297 .082.305 713 31% 6% 56 -1.3 .218/.272/.338 .120.293 139 29% 6% 68 -0.5 .230/.295/.366.136.29817827%6%82+0.3
Dru Baker
2022 · A
22 45→55 38→40 55→60 41 .214/.268/.296 .082.300 413 29% 6% 55 -1.4 .238/.294/.344 .106.336 1029 30% 6% 79 +0.3 .245/.298/.334.089.34383929%6%73-0.1
Luke Williams
2019 · A
22 40→45 37→45 50→60 41 .194/.243/.261 .068.252 615 25% 5% 36 -2.7 .204/.262/.299 .095.274 819 27% 6% 53 -1.5 .227/.288/.355.128.309134229%7%76+0.0
Corey Joyce
2022 · AA
23 41 39→45 53→50 39 .193/.262/.274 .080.300 713 36% 7% 48 -1.9 .208/.307/.328 .120.294 1212 31% 10% 82 +0.5 .212/.315/.318.105.30191429%10%80+0.2
Ramon Mendoza
2023 · A
22 41→48 37→45 48→45 45 .193/.269/.270 .078.280 47 31% 8% 50 -1.8 .211/.284/.310 .099.294 85 29% 8% 66 -0.6 .219/.298/.332.113.29411327%9%76+0.0
Nick Allen
2021 · A
22 45→55 37→40 52→50 44 .212/.262/.290 .077.267 314 21% 5% 50 -1.7 .224/.275/.318 .094.282 814 22% 6% 63 -0.8 .243/.303/.319.076.29161617%7%74-0.0
Melvin Santana
2014 · A
22 43 37→45 51→50 45 .202/.257/.285 .083.254 311 21% 6% 47 -1.9 .202/.249/.280 .078.275 311 26% 5% 42 -2.3 .195/.231/.264.069.26201924%4%29-0.6
Tyler Goeddel
2015 · A
22 45→49 41→45 56→55 42 .216/.273/.320 .104.300 718 29% 6% 63 -0.8 .226/.284/.340 .114.295 917 25% 7% 73 -0.1 .224/.286/.334.110.283101823%7%70-0.2
Ronaldo Urdaneta
2021 · A
22 44 39→40 53→60 40 .210/.265/.300 .090.306 614 32% 6% 54 -1.4 .187/.266/.264 .077.308 622 38% 8% 47 -1.9 .145/.239/.202.057.24353339%9%19-1.1
Abiatal Avelino
2017 · AA
22 47→51 39→45 50→55 43 .226/.269/.311 .085.281 622 22% 5% 59 -1.1 .236/.273/.339 .103.292 919 22% 5% 68 -0.5 .239/.277/.351.112.294112022%5%69-0.3
Erlin Cerda
2016 · A
22 45 35→40 52→55 48 .208/.279/.281 .073.262 114 20% 7% 56 -1.3 .200/.251/.270 .070.291 29 30% 5% 41 -2.3 .166/.201/.211.044.2610835%4%-1-1.2
Richie Martin Jr.
2017 · AA
22 46→53 38→45 47→60 44 .216/.280/.295 .079.284 513 24% 6% 60 -1.0 .217/.274/.310 .093.284 616 25% 6% 61 -1.0 .228/.282/.329.101.29782025%5%67-0.3
Evan Crawford
2011 · A
22 45→55 38→40 58→55 37 .215/.254/.302 .087.299 516 29% 4% 50 -1.8 .237/.281/.320 .083.328 419 27% 4% 66 -0.6 .260/.305/.335.074.36022526%4%76+0.0
Jacob Young
2022 · A
23 43→53 38→40 57→60 43 .206/.257/.288 .083.264 520 24% 6% 48 -1.9 .238/.299/.313 .075.302 431 21% 6% 72 -0.2 .248/.310/.323.074.31133620%6%76+0.1
Levi Michael
2014 · A
23 42→52 37→45 55 49 .197/.274/.273 .076.263 412 25% 9% 53 -1.5 .221/.289/.307 .086.294 516 25% 7% 67 -0.5 .227/.293/.340.113.317111130%5%75-0.0
Oswald Peraza
2021 · A
21 44→51 38→50 52→60 41 .210/.265/.281 .072.277 617 26% 6% 50 -1.7 .236/.288/.375 .139.300 1727 26% 6% 85 +0.7 .230/.288/.373.144.287183026%6%81+0.3
Riley Unroe
2018 · AA
22 40→47 37→45 46→55 44 .192/.258/.257 .065.276 412 30% 8% 41 -2.3 .204/.270/.291 .087.291 712 30% 8% 55 -1.4 .221/.306/.342.121.297132628%10%80+0.2
Wendell Rijo
2018 · AA
22 41→42 38→55 45→50 39 .197/.249/.277 .080.274 611 29% 5% 42 -2.3 .205/.260/.309 .104.270 107 27% 6% 56 -1.3 .212/.269/.371.159.270201429%6%73-0.1