Corey Collins1B Brooklyn Cyclones
Age 24 L/R 6'3" / 236 lbs A+ H +5%HR +3% Svc 0.0 · Ctrl thru 2035
wRC+†68
AVG/OBP/SLG.198 / .282 / .317
PA210
HR4
K%31
BB%9
MLB%0%
BAT: -7.7 runs (wOBA-derived runs vs avg)-8BATRUN: -0.2 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -3.8 runs (Positional adjustment)-4POSREP: +5.9 runs (Replacement-level credit)+6REPTotal WAR: -0.60-0.6WAR
Scouting · nowfuture
HIT
2020
PWR
3030
SPD
4545
EYE
6245
trajectory · 10 yrs
-0.2peak
2028

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
2035Ext / FA-deal$0.6M
Totals $-1.0M $-21M -$20M
Underwater contract
Projected production over the remaining contract is worth -$20M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
202422 ASt. Lucie Mets 3525 5001 7112 10 .200.412.320.732 .120.286 3120 .333 113 +1 +0 +0 -1 +1 0.1
202523 A+2 teams 263216 29514 329710 52 .134.275.222.497 .088.208 3712 .237 39 -18 +0 +0 -5 +7 -1.5
▸ 2026 Season (actual · ROS · total)
202624 A+Brooklyn Cyclones 5950 9211 6172 00 .180.293.320.613 .140.242 2910 .269 64 -2 +0 +0 -1 +2 -0.2
ROS24 MLBNYM 151134 26513 13473 21 .194.280.313.593 .119.274 319 .275 69 -5 +0 +0 -3 +4 -0.4
TOT24 MLBNYM 210184 35724 19645 21 .190.284.315.599 .125.263 309 .274 68 -8 +0 +0 -4 +6 -0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%NYM 257225 47926 25695 41 .209.302.347.649 .138.267 2710 .290 80 -6 +0 +0 -5 +7 -0.3
202826 MLB 25%NYM 328287 611228 32876 51 .213.305.352.657 .139.269 2710 .294 83 -6 +1 +0 -6 +9 -0.2
202927 MLB 43%NYM 364319 671329 36966 61 .210.302.348.650 .138.270 2610 .295 84 -6 +1 +0 -7 +10 -0.2
203028 MLB 52%NYM 385337 711429 381027 61 .211.304.344.648 .134.271 2610 .295 84 -7 +1 -1 -7 +11 -0.3
203129 MLB 63%NYM 391342 711429 391057 61 .208.302.339.641 .132.270 2710 .293 82 -8 +1 -1 -7 +11 -0.4
203230 MLB 81%NYM 392343 711429 391067 51 .207.301.338.639 .131.268 2710 .290 80 -9 +1 -2 -7 +11 -0.6
203331 MLBNYM 383335 681328 381057 50 .203.297.325.623 .122.267 2710 .286 77 -10 +1 -3 -7 +11 -0.8
203432 MLBNYM 368323 641228 361036 40 .198.290.322.612 .124.265 2810 .281 74 -11 +1 -4 -7 +10 -1.0
203533 MLBNYM 340297 591127 34986 40 .199.294.320.614 .121.263 2910 .276 69 -12 +1 -4 -6 +10 -1.2
203634 MLBNYM 298262 51926 29885 30 .195.287.313.600 .118.261 3010 .270 65 -12 +1 -5 -5 +8 -1.3
▸ Career Totals (MLE all levels + projections)
Career 39553445 6901312287 398111477 569 .200.297.327.624 .127.266 2810 .284 75 -110 +8 -20 -71 +112 -8.2
/ 162G 650566 11422414 6518313 91 .201.298.329.627 .127.268 2810 .284 75 -18 +1 -3 -12 +18 -1.3

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
202422 ASt. Lucie Mets 3523 5001 982 10 .217.471.348.818 .130.267 2326 .384 152 +2 +0 +1 0.3
202523 A+Brooklyn Cyclones 157131 24122 17516 42 .183.305.267.572 .084.272 3211 .268 64 -6 +0 +4 -0.2
202523 ASt. Lucie Mets 10672 11402 28234 10 .153.413.292.705 .139.184 2226 .342 120 +2 +0 +3 0.6

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
Corey Collins (OGILVIE) 24 20 30 45 45 .198/.282/.317 .119.279 44 31% 9% 69 -0.1
Gage Green
2017 · A
24 44 40→45 46→50 41 .212/.273/.302 .090.284 810 28% 6% 59 -1.1 .205/.263/.291 .086.276 78 27% 6% 53 -1.5 .174/.224/.236.062.2260022%4%24-0.6
Nick Maton
2021 · AA
24 42→41 41→50 45 43 .206/.265/.304 .098.278 88 28% 7% 56 -1.3 .212/.292/.338 .126.286 127 28% 9% 77 +0.1 .214/.305/.368.154.26418425%10%88+0.6
Tanner Allen
2022 · A
24 41 42→45 45 43 .204/.257/.308 .104.256 107 25% 6% 53 -1.5 .202/.257/.299 .097.248 96 22% 6% 51 -1.7 .200/.259/.296.096.2459721%6%47-0.9
Mike Papi
2017 · AA
24 39→47 44→45 44→45 48 .193/.275/.309 .117.272 115 31% 10% 63 -0.8 .217/.294/.333 .116.291 125 27% 9% 76 +0.1 .219/.297/.324.105.28811426%9%74-0.0
River Town
2023 · A
24 41→38 45→40 55→50 46 .206/.287/.332 .126.261 1215 25% 8% 74 -0.1 .217/.304/.312 .095.269 815 21% 9% 76 +0.1 .215/.313/.285.071.26361519%10%71-0.1
Jake Thomas
2017 · A
24 43 37→30 48→50 46 .203/.273/.276 .073.280 48 27% 8% 53 -1.5 .213/.304/.285 .072.317 39 30% 11% 69 -0.4 .212/.328/.269.058.32711030%14%72-0.1
Gabe Matthews
2022 · AAA
24 42→41 44→50 50→40 41 .203/.279/.321 .119.305 118 35% 8% 68 -0.5 .196/.285/.334 .138.297 164 37% 9% 75 -0.0 .184/.284/.322.138.27717237%9%69-0.3
Devin Foyle
2021 · A
24 43→37 41→45 48→45 46 .204/.283/.298 .095.292 812 31% 9% 63 -0.8 .207/.278/.334 .127.272 138 28% 8% 70 -0.3 .196/.270/.324.128.25014627%8%61-0.5
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
Anthony Seigler
2023 · A
24 40→39 43→45 46→55 54 .196/.296/.310 .114.268 911 28% 12% 72 -0.2 .198/.295/.313 .115.254 1119 24% 12% 72 -0.2 .200/.299/.321.122.247122723%12%74-0.1
Dillon Paulson
2021 · A
24 40→36 48→50 48→30 49 .202/.285/.345 .143.280 154 32% 10% 76 +0.1 .221/.290/.342 .121.296 125 28% 9% 77 +0.1 .219/.282/.320.101.2868025%8%64-0.3
Jameson Fisher
2018 · A
24 42→36 41→45 44→45 42 .205/.270/.309 .104.283 87 30% 7% 60 -1.0 .189/.258/.283 .094.289 86 35% 8% 49 -1.8 .191/.257/.293.103.28511435%7%49-1.3
Chris Meyers
2023 · A
24 42→46 44→50 51→40 43 .212/.273/.333 .122.278 129 28% 7% 67 -0.5 .228/.285/.377 .149.300 185 29% 6% 85 +0.7 .226/.286/.378.152.29419329%6%82+0.3
Conner Capel
2021 · AAA
24 43→45 42→45 46→55 41 .211/.262/.316 .105.284 1011 29% 6% 58 -1.2 .219/.281/.347 .128.275 1415 25% 8% 75 -0.0 .216/.288/.339.123.271131924%8%71-0.2
Gabe Snyder
2019 · A
24 42→37 39→50 44→40 42 .205/.266/.291 .086.288 76 30% 7% 53 -1.5 .205/.270/.339 .134.277 155 30% 7% 68 -0.5 .192/.264/.344.153.25118431%8%64-0.4
Justin Howard
2012 · A
24 46→45 39→45 44→45 46 .215/.280/.306 .091.298 57 28% 8% 63 -0.9 .236/.301/.336 .100.324 76 27% 8% 79 +0.3 .245/.312/.353.108.3359527%7%85+0.4
Matthew Sweeney
2012 · AA
24 36→41 44→50 49→45 41 .183/.249/.300 .117.266 124 34% 7% 50 -1.8 .198/.255/.308 .110.279 106 31% 7% 53 -1.5 .212/.252/.322.110.2746024%5%52-0.3
Stefan Welch
2013 · AA
24 43 43→45 47→40 41 .210/.271/.322 .112.288 115 30% 6% 63 -0.8 .207/.279/.325 .118.284 124 30% 8% 69 -0.4 .192/.274/.310.118.26313230%8%62-0.6
Daniel Arribas
2017 · A
24 41→39 42→40 48→45 43 .206/.270/.309 .103.276 117 28% 7% 60 -1.0 .197/.271/.288 .091.282 89 31% 8% 55 -1.4 .128/.235/.162.033.21601536%11%9-1.0
Ross Adolph
2021 · A
24 41→33 40→45 45→50 41 .186/.274/.279 .093.316 89 40% 8% 56 -1.3 .201/.295/.322 .121.344 1210 41% 9% 76 +0.0 .189/.299/.313.125.331131142%10%72-0.1