Christian PregentC Brooklyn Cyclones
Age 25 R/R 6'2" / 210 lbs A+ H +5%HR +3% Svc 0.0 · Ctrl thru 2035 peak 0.2 · 2028
wRC+†52
AVG/OBP/SLG.193 / .262 / .288
PA66
HR1
K%34
BB%8
MLB%0%
BAT: -3.6 runs (wOBA-derived runs vs avg)-4BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +1.9 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
0.3peak
2029

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+0.2$0.9M+$0.0M
2031Arb-3$0.9M
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$0.2M
2034Ext / FA-deal$0.4M
2035Ext / FA-deal$0.6M
Totals $3M $-9M -$12M

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
202322 A+Brooklyn Cyclones 2622 3100 2150 00 .136.208.182.390 .045.333 588 .154 -24 -4 +0 +0 +0 +1 -0.2
202423 A+Brooklyn Cyclones 185166 20201 14823 00 .120.202.151.353 .030.224 448 .166 -15 -24 +0 +0 +3 +5 -1.6
▸ 2026 Season
202625 MLBNYM 6660 11201 5221 10 .183.258.267.524 .083.288 338 .253 52 -4 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 10%NYM 9788 17302 8321 20 .193.268.295.563 .102.290 338 .267 62 -4 +0 +0 +2 +3 0.1
202827 MLB 25%NYM 199179 37714 16642 31 .207.279.324.603 .117.290 328 .271 66 -8 +0 +0 +4 +6 0.2
202928 MLB 37%NYM 270243 49915 22863 41 .202.276.309.585 .107.290 328 .273 67 -10 +0 -1 +5 +8 0.2
203029 MLB 47%NYM 310279 571116 25993 41 .204.277.315.592 .111.289 328 .272 66 -12 +0 -1 +6 +9 0.2
203130 MLB 61%NYM 336303 621127 271083 31 .205.276.323.600 .119.288 328 .269 64 -14 +0 -2 +6 +10 -0.0
203231 MLB 78%NYM 330297 591116 271073 20 .199.272.303.575 .104.286 328 .265 61 -15 +0 -3 +6 +9 -0.2
203332 MLBNYM 313282 551016 251043 00 .195.268.301.569 .106.285 338 .260 57 -15 +0 -4 +6 +9 -0.4
203433 MLBNYM 283255 49915 23963 00 .192.267.294.561 .102.283 348 .255 53 -15 +0 -4 +5 +8 -0.6
203534 MLBNYM 238215 41714 19822 00 .191.263.288.551 .098.281 348 .249 49 -14 +0 -5 +4 +7 -0.8
▸ Career Totals (MLE all levels + projections)
Career 26532389 46083947 21389727 194 .193.266.294.560 .101.283 348 .256 54 -137 +2 -20 +47 +75 -3.3
/ 162G 650585 11320212 522207 51 .193.267.296.563 .103.283 348 .256 54 -34 +1 -5 +12 +18 -0.8

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
202322 A+Brooklyn Cyclones 2621 3100 3120 00 .143.250.190.440 .048.273 4612 .200 11 -3 +0 +1 -0.2
202423 A+Brooklyn Cyclones 185157 26301 23623 00 .166.284.204.488 .038.260 3412 .238 41 -12 +0 +5 -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
Christian Pregent (OGILVIE) 25 .193/.262/.288 .095.288 11 34% 8% 52 -0.2
Jordan Betts
2017 · AA
25 35→29 39→45 46→40 35 .177/.223/.265 .088.275 75 37% 5% 27 -3.3 .194/.242/.308 .114.294 124 36% 6% 47 -1.9 .190/.238/.309.119.28015337%5%45-1.3
Zach Cone
2015 · A
25 35→38 42→45 47→45 35 .180/.233/.280 .100.275 107 37% 5% 37 -2.7 .197/.243/.327 .130.297 157 38% 5% 53 -1.5 .192/.232/.340.148.27519537%4%49-0.9
Jeremy Eierman
2021 · A
24 34→26 42→55 50→45 32 .174/.221/.277 .103.286 109 42% 5% 30 -3.1 .182/.238/.330 .148.297 1910 44% 5% 53 -1.5 .158/.218/.314.156.244221044%5%37-1.0
McCarthy Tatum
2022 · AA
26 34→25 42→55 45→50 35 .173/.235/.271 .098.281 106 40% 6% 36 -2.7 .198/.254/.317 .119.290 1210 34% 5% 56 -1.3 .201/.254/.332.131.279121131%4%55-0.5
Ryan Metzler
2018 · AA
25 38 37→40 50 35 .177/.235/.246 .069.305 412 41% 6% 28 -3.2 .198/.252/.287 .089.299 813 34% 6% 46 -2.0 .187/.242/.269.082.27891534%6%35-1.1
Connor Blair
2022 · A
24 37 40→45 48→45 44 .183/.255/.269 .086.272 711 34% 8% 43 -2.2 .192/.279/.306 .114.309 128 38% 9% 64 -0.8 .150/.260/.268.118.24016541%11%45-0.7
Dylan Rosa
2021 · AA
25 38→31 44→45 49→45 37 .192/.247/.304 .112.288 129 36% 6% 49 -1.8 .192/.246/.327 .135.337 168 45% 6% 55 -1.4 .158/.215/.300.142.29019650%5%32-1.0
Scott Schreiber
2021 · A
25 39 43→45 47→45 34 .189/.239/.298 .109.310 119 41% 6% 43 -2.2 .222/.275/.364 .142.307 1710 32% 5% 76 +0.1 .228/.277/.373.146.307191031%5%76+0.0
George Soto
2011 · A
25 35 36→40 44→45 39 .170/.235/.227 .057.250 48 32% 6% 24 -3.5 .187/.258/.277 .090.258 78 28% 8% 46 -2.0 .163/.239/.259.097.2139727%8%37-1.0
Shane Matheny
2021 · A
25 36→42 41→45 42→50 36 .182/.235/.272 .090.281 103 37% 6% 35 -2.8 .197/.272/.316 .119.319 137 39% 9% 63 -0.8 .191/.281/.316.125.30014938%10%64-0.5
José Briceño
2018 · AA
25 34 41→45 46→45 39 .178/.209/.270 .093.218 106 24% 4% 23 -3.6 .206/.246/.343 .137.252 189 26% 5% 59 -1.1 .203/.242/.352.149.24322427%4%58-0.3
Josh Richmond
2014 · A
25 36→39 43→45 47→45 35 .185/.232/.298 .113.263 107 33% 5% 41 -2.3 .206/.261/.335 .129.285 138 31% 5% 63 -0.8 .198/.259/.335.137.26413929%5%59-0.8
Michael O'Neill
2017 · AA
25 41→40 40→45 50→55 36 .201/.247/.291 .090.288 817 32% 5% 45 -2.1 .208/.257/.314 .106.307 1020 34% 5% 56 -1.3 .205/.256/.307.102.305112335%5%50-1.3
Kenny Diekroeger
2015 · A
24 36 39→40 45 35 .183/.222/.261 .078.265 87 34% 4% 26 -3.4 .215/.261/.293 .078.287 710 26% 5% 51 -1.7 .227/.276/.288.061.29441123%5%53-0.7
Connor Lien
2019 · AA
25 34→44 44→45 50→55 29 .167/.225/.285 .118.311 1216 48% 5% 36 -2.7 .170/.240/.305 .135.373 1612 54% 7% 47 -1.9 .121/.208/.259.138.30018961%8%20-1.3
Brenden Webb
2015 · A
25 36→37 44→45 48→50 39 .180/.250/.300 .120.295 129 41% 8% 50 -1.8 .191/.245/.294 .103.301 1012 38% 6% 45 -2.1 .184/.232/.281.097.278111637%5%33-1.8
Matt Pita
2021 · A
24 37 36→50 49→55 36 .180/.231/.255 .075.261 310 31% 4% 29 -3.2 .199/.258/.338 .139.277 1516 33% 5% 63 -0.8 .182/.243/.334.152.252172734%4%53-0.5
Gage Canning
2021 · A
24 40→36 39→40 50 34 .190/.239/.277 .088.307 610 39% 5% 38 -2.6 .202/.251/.294 .092.326 86 38% 5% 47 -1.9 .218/.269/.313.095.3338335%5%56-0.7
Ryan Scott
2018 · A
25 38→33 42→45 50→45 37 .191/.249/.295 .104.275 108 33% 5% 47 -1.9 .175/.232/.275 .100.263 96 35% 6% 35 -2.8 .133/.191/.221.088.1998237%6%1-3.1
Justin Lavey
2023 · A
25 39 40 57→55 34 .183/.234/.273 .090.319 817 43% 6% 35 -2.8 .196/.244/.284 .088.324 716 39% 6% 42 -2.3 .187/.217/.248.061.29752038%3%15-0.7