Karell PazOF Brooklyn Cyclones
Age 26 L/R 6'1" / 215 lbs A+ H +5%HR +3% Svc 0.0 · Ctrl thru 2035
wRC+†71
AVG/OBP/SLG.209 / .280 / .332
PA81
HR2
K%30
BB%7
MLB%0%
BAT: -2.6 runs (wOBA-derived runs vs avg)-3BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.5 runs (Positional adjustment)-0POSREP: +2.3 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
-0.1peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$0.2M
2034Ext / FA-deal$0.4M
2035Extbeyond projection horizon · no WAR estimate
Totals $-3M $-18M -$15M

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
202222 ROKFCL Mets 114100 22233 5276 55 .220.297.390.687 .170.260 244 .287 78 -3 -1 +0 -1 +3 -0.1
202323 ASt. Lucie Mets 224193 35802 197610 103 .181.288.254.542 .073.282 348 .257 55 -11 +1 +0 -1 +6 -0.6
202424 A+Brooklyn Cyclones 163149 24532 8584 104 .161.224.275.499 .114.247 365 .213 21 -15 +0 +0 -1 +5 -1.1
▸ 2026 Season
202626 MLBNYM 8174 15302 6241 20 .203.272.324.596 .122.286 307 .279 71 -3 +0 +0 -0 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202727 MLB 10%NYM 119107 23413 9352 21 .215.288.355.643 .140.287 298 .283 75 -3 +0 +0 -1 +3 -0.1
202828 MLB 20%NYM 209188 41815 16613 41 .218.290.351.641 .133.287 298 .285 76 -6 +0 -1 -1 +6 -0.1
202929 MLB 33%NYM 265238 511016 21774 41 .214.289.340.629 .126.287 298 .285 76 -7 +0 -1 -2 +8 -0.2
203030 MLB 43%NYM 303272 591127 24884 41 .217.290.349.639 .132.286 298 .283 75 -9 +0 -2 -2 +9 -0.4
203131 MLB 57%NYM 311279 591127 25924 30 .211.286.341.626 .129.284 308 .279 72 -10 +1 -3 -2 +9 -0.5
203232 MLB 75%NYM 307276 571126 24924 20 .207.280.326.606 .120.283 308 .274 68 -11 +0 -4 -2 +9 -0.7
203333 MLB 92%NYM 287258 531016 23884 00 .205.281.322.602 .116.281 318 .269 64 -12 +0 -4 -2 +8 -1.0
203434 MLBNYM 250225 44814 20793 00 .196.270.293.563 .098.279 328 .263 59 -11 +0 -5 -2 +7 -1.1
▸ Career Totals (MLE all levels + projections)
Career 26332359 483911753 20079749 4616 .205.281.325.606 .120.282 308 .272 66 -100 +3 -20 -16 +75 -5.9
/ 162G 650582 11822413 4919712 114 .203.278.321.599 .119.279 308 .272 66 -25 +1 -5 -4 +18 -1.5

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
202222 ROKFCL Mets 11497 30444 8186 55 .309.396.557.953 .247.333 167 .405 168 +9 -1 +3 1.1
202323 ASt. Lucie Mets 224188 491014 245010 103 .261.374.388.762 .128.331 2211 .347 123 +6 +1 +6 1.3
202424 A+Brooklyn Cyclones 163144 31733 13444 104 .215.298.368.666 .153.289 278 .297 85 -3 +0 +5 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
Karell Paz (OGILVIE) 26 .209/.280/.332 .123.286 22 30% 7% 71 -0.0
Alex Glenn
2017 · AA
26 43→42 48→55 51→50 39 .218/.260/.365 .147.277 159 27% 5% 69 -0.4 .193/.238/.298 .105.290 97 35% 5% 43 -2.2 .130/.173/.206.076.2186442%5%-12-2.2
Mitch Longo
2021 · AA
26 45 42→45 51→50 41 .218/.268/.325 .106.285 913 26% 6% 62 -0.9 .227/.274/.372 .145.296 1618 28% 5% 78 +0.2 .222/.267/.379.157.284192229%5%73-0.1
Grant Witherspoon
2022 · A
25 41→45 48→55 49→50 41 .211/.261/.351 .140.281 1712 31% 6% 67 -0.5 .218/.277/.370 .152.302 1813 32% 7% 79 +0.3 .202/.269/.344.142.282171333%8%65-0.4
Drew Campbell
2023 · A
25 46 43→55 49→50 39 .229/.271/.337 .109.301 1112 28% 5% 66 -0.6 .228/.272/.359 .131.310 1513 30% 4% 74 -0.1 .225/.265/.384.158.300221532%3%76+0.0
Brian O'Grady
2018 · AA
26 37→39 44→60 54→50 47 .185/.270/.300 .115.260 1114 32% 10% 59 -1.1 .215/.279/.390 .175.287 2114 31% 7% 85 +0.7 .210/.274/.401.191.276231532%7%84+0.5
Bobby Kingsbury
2007 · A
26 42 45→50 47→50 44 .210/.277/.340 .130.280 128 29% 7% 71 -0.3 .217/.273/.342 .125.275 1212 25% 6% 69 -0.4 .211/.266/.341.130.260121423%6%65-0.5
Shayne Fontana
2022 · AA
25 41 42→45 48→55 46 .197/.276/.303 .106.284 99 32% 9% 61 -1.0 .215/.297/.325 .110.300 1114 30% 9% 76 +0.1 .222/.305/.326.104.296111927%8%77+0.1
Luis Liberato
2022 · AAA
26 46→51 45→50 51→50 41 .228/.275/.350 .122.308 138 30% 6% 72 -0.2 .216/.279/.361 .145.302 1510 32% 8% 78 +0.2 .205/.274/.347.142.285151132%8%69-0.2
Cal Towey
2016 · AA
26 46→49 42→45 49→50 45 .214/.297/.319 .105.319 813 33% 9% 75 -0.0 .201/.284/.304 .103.318 910 36% 9% 66 -0.6 .189/.280/.295.106.3039937%10%59-0.8
Ryan Mount
2013 · AA
26 44 46→50 50 39 .222/.264/.353 .130.288 1411 28% 5% 69 -0.4 .241/.288/.385 .144.295 167 23% 6% 87 +0.8 .273/.320/.460.187.31021019%6%115+0.8
Joseph Nowicki
2009 · A
26 42→40 47→55 50→45 37 .211/.258/.353 .142.294 158 33% 5% 66 -0.6 .210/.255/.338 .128.301 148 34% 5% 61 -1.0 .182/.222/.281.099.25712434%4%28-1.1
Mark Contreras
2021 · AA
26 36→38 44→50 47→55 38 .183/.247/.298 .115.269 1113 35% 6% 48 -1.9 .201/.262/.346 .145.292 1719 36% 6% 66 -0.6 .199/.260/.339.140.286172435%6%61-0.7
Devin Foyle
2022 · AA
25 40→37 46→45 48→45 44 .205/.275/.336 .132.274 1411 30% 8% 69 -0.4 .212/.284/.329 .117.274 127 26% 8% 71 -0.3 .192/.282/.265.072.2456022%10%51-0.6
Chantz Mack
2017 · AA
26 45→47 44→45 45 47 .222/.290/.336 .113.293 115 27% 8% 75 -0.0 .216/.293/.320 .104.299 106 28% 10% 72 -0.2 .153/.267/.207.054.2125027%14%32-0.5
Jose Manuel Orozco
2017 · AAA
26 46 48→50 47→45 39 .230/.275/.372 .142.311 179 31% 6% 78 +0.2 .225/.272/.359 .134.312 159 32% 6% 73 -0.1 .221/.269/.352.131.31114832%5%69-0.2
Nathan Panther
2007 · AA
26 44→43 42→45 45 46 .215/.277/.319 .103.272 98 24% 7% 65 -0.7 .226/.295/.355 .129.281 127 23% 8% 82 +0.5 .229/.305/.375.146.27615622%9%88+0.5
Thomas Milone
2021 · AA
26 48→46 41→45 56→55 41 .228/.279/.337 .110.312 716 28% 6% 70 -0.3 .227/.293/.351 .124.339 1116 33% 8% 80 +0.4 .219/.290/.342.123.335121735%8%73-0.1
Dillon Paulson
2023 · AA
26 45→36 46→50 45→30 49 .226/.295/.355 .129.282 146 24% 8% 82 +0.5 .222/.287/.335 .113.289 105 25% 8% 73 -0.1 .219/.282/.320.101.2868025%8%64-0.3
Quincy Latimore
2015 · AA
26 44→42 46→50 47→50 41 .220/.274/.345 .125.287 1412 28% 6% 71 -0.3 .214/.264/.352 .138.284 168 29% 6% 69 -0.4 .202/.251/.338.137.26516530%6%55-1.0
Anthony Norman
2011 · AA
26 42 47→50 55 49 .214/.295/.354 .140.266 1416 24% 8% 83 +0.6 .212/.273/.315 .103.299 610 29% 7% 62 -0.9 .228/.269/.340.113.33801231%5%62-0.2