Nayerich Waterfort2B DSL Reds
Age 20 R/R 5'10" / 154 lbs ROK HR +9%K -4% Svc 0.0 · Ctrl thru 2037 peak 2.0 · 2032
wRC+†60
AVG/OBP/SLG.206 / .274 / .300
PA95
HR1
K%29
BB%7
MLB%0%
BAT: -4.3 runs (wOBA-derived runs vs avg)-4BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.3 runs (Positional adjustment)+0POSREP: +2.7 runs (Replacement-level credit)+3REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.0peak
2032

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+2.0$19M+$18M
2033Ext / FA-deal$1.0M+2.0$20M+$19M
2034Ext / FA-deal$1.0M+1.9$19M+$18M
2035Ext / FA-deal$3M+1.7$18M+$14M
2036Ext / FA-deal$5M+1.4$15M+$10M
2037Ext / FA-deal$5M+1.1$12M+$7M
Totals $16M $103M +$87M

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
202418 ROKDSL Rojos 6352 4200 5246 32 .077.238.115.353 .038.143 388 .178 -6 -8 -0 +0 +0 +2 -0.6
202519 ROKDSL Reds 11195 20502 10264 33 .211.312.326.638 .116.261 239 .278 71 -4 -1 +0 +0 +3 -0.1
▸ 2026 Season
202620 MLBCIN 9587 18311 7281 10 .207.274.299.573 .092.289 297 .263 60 -4 +0 +0 +0 +3 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%CIN 181162 36614 15502 31 .222.296.346.642 .123.292 288 .286 77 -5 +0 +0 +1 +5 0.1
202822 MLB 28%CIN 312278 631128 27834 61 .227.304.367.671 .140.293 279 .300 88 -4 +1 +0 +1 +9 0.7
202923 MLB 48%CIN 401357 8415311 361045 82 .235.314.387.701 .151.294 269 .309 95 -2 +1 +0 +1 +11 1.1
203024 MLB 62%CIN 461409 9617313 431186 92 .235.317.386.703 .152.294 269 .314 99 -1 +1 +0 +2 +13 1.5
203125 MLB 80%CIN 496440 10418315 471266 102 .236.318.393.712 .157.295 259 .318 101 +1 +1 +0 +2 +14 1.8
203226 MLB 94%CIN 515454 10719315 501316 102 .236.320.390.709 .154.296 2510 .319 103 +2 +1 +0 +2 +15 2.0
203327 MLBCIN 523461 10919316 511346 102 .236.320.395.715 .158.296 2610 .320 103 +2 +1 +0 +2 +15 2.0
203428 MLBCIN 524462 10919316 511356 91 .236.320.394.714 .158.295 2610 .318 102 +1 +1 -1 +2 +15 1.9
203529 MLBCIN 517455 10719315 511356 81 .235.320.389.709 .154.294 2610 .316 100 +0 +1 -1 +2 +15 1.7
203630 MLBCIN 509448 10418315 501346 71 .232.317.386.704 .154.293 2610 .313 98 -1 +1 -2 +2 +14 1.4
203731 MLBCIN 496438 10017314 491336 50 .228.314.377.691 .148.292 2710 .309 95 -3 +1 -3 +2 +14 1.1
203832 MLBCIN 479423 9516313 471316 20 .225.311.369.680 .144.290 2710 .305 91 -5 +0 -4 +2 +14 0.8
203933 MLBCIN 450398 8915312 441265 10 .224.309.367.676 .143.288 2810 .299 87 -7 +0 -4 +2 +13 0.4
204034 MLBCIN 404358 7713210 391164 00 .215.299.346.646 .131.287 2910 .293 82 -8 +0 -5 +1 +11 -0.0
204135 MLBCIN 349308 651128 341044 00 .211.298.338.635 .127.284 3010 .285 76 -9 +0 -6 +1 +10 -0.4
▸ Career Totals (MLE all levels + projections)
Career 68866085 138724341188 656183889 9520 .228.312.374.686 .146.293 2710 .307 93 -55 +11 -25 +25 +195 15.4
/ 162G 650574 13123418 621738 92 .228.312.376.688 .148.293 2710 .307 93 -5 +1 -2 +2 +18 1.4

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
202418 ROKDSL Rojos 6348 6300 9166 32 .125.333.188.521 .062.188 2514 .274 68 -2 -0 +2 -0.1
202519 ROKDSL Reds 11187 26802 18184 33 .299.440.460.900 .161.348 1616 .400 164 +8 -1 +3 1.1

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
Nayerich Waterfort (OGILVIE) 20 .206/.274/.300 .094.289 11 29% 7% 60 -0.2
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Alex Liddi
2009 · A
20 42→52 40→60 49→50 38 .202/.249/.300 .098.290 79 32% 5% 48 -1.9 .240/.291/.399 .159.335 167 32% 6% 92 +1.2 .241/.296/.424.182.33620533%6%99+1.7
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
Lane Thomas
2016 · A
20 43→51 37→55 51→55 42 .200/.259/.277 .077.294 39 32% 7% 46 -2.0 .194/.260/.302 .108.313 1013 38% 8% 54 -1.4 .248/.312/.427.179.308211325%7%107+2.0
Eddys Leonard
2021 · A
20 42→46 40→50 46→45 45 .200/.274/.295 .095.288 79 31% 8% 59 -1.1 .227/.293/.378 .151.302 175 29% 7% 89 +0.9 .224/.290/.376.152.29017428%6%83+0.5
Luis Torrens
2016 · A
20 42→49 38→55 49→30 44 .201/.271/.276 .075.277 55 28% 7% 52 -1.6 .207/.270/.291 .084.263 64 22% 7% 55 -1.4 .228/.285/.376.148.28819027%7%82+0.3
Samad Taylor
2018 · A
20 45→53 37→50 51→65 41 .213/.268/.288 .076.300 410 29% 6% 53 -1.5 .183/.255/.284 .101.259 722 30% 8% 47 -1.9 .236/.312/.377.141.324164630%9%94+0.8
Thairo Estrada
2016 · A
20 44→54 39→50 48→55 41 .211/.264/.302 .090.275 58 24% 5% 55 -1.4 .255/.297/.344 .089.303 89 18% 5% 79 +0.3 .270/.326/.420.150.314172119%5%108+1.8
Christopher Morel
2019 · A
20 38→46 41→60 46→50 45 .191/.255/.285 .094.243 913 25% 7% 47 -1.9 .204/.250/.320 .116.282 1111 31% 5% 53 -1.5 .224/.302/.431.208.280281030%9%102+1.8
Vaughn Grissom
2021 · A
20 44→54 39→50 51→55 44 .214/.271/.302 .088.272 76 23% 6% 58 -1.2 .265/.329/.388 .123.318 1115 19% 7% 105 +2.1 .283/.348/.417.134.334121718%7%116+2.4
Agustín Ramírez
2022 · A
20 37→45 43→55 44→50 39 .188/.245/.301 .113.275 114 34% 6% 47 -1.9 .223/.286/.366 .143.284 1611 26% 8% 82 +0.5 .230/.293/.405.176.264221622%7%92+1.1
Austin Dean
2014 · A
20 41→51 40→55 45 45 .197/.269/.289 .093.270 76 28% 8% 55 -1.4 .229/.274/.325 .096.288 76 22% 5% 65 -0.7 .257/.302/.413.156.30417421%5%96+1.1
Edmundo Sosa
2016 · A
20 45→50 41→55 49→50 44 .217/.269/.316 .099.260 88 20% 5% 61 -1.0 .228/.265/.309 .081.295 66 24% 4% 56 -1.3 .254/.298/.423.169.30818923%4%99+0.8
Tyler Stephenson
2017 · A
20 41→51 38→50 43→30 39 .197/.249/.277 .080.290 63 33% 6% 42 -2.3 .216/.283/.315 .099.290 93 27% 7% 67 -0.5 .253/.327/.399.146.32316125%9%102+1.3
Jose Paez
2014 · A
20 46 39→45 51→50 38 .218/.263/.312 .093.303 512 29% 5% 56 -1.3 .209/.259/.289 .080.322 410 34% 6% 50 -1.8 .195/.251/.252.057.32041138%6%32-0.6
Emmanuel Rivera
2016 · A
20 40→50 35→55 48→45 45 .185/.261/.247 .062.282 312 33% 9% 40 -2.4 .222/.269/.320 .098.293 77 25% 5% 61 -1.0 .246/.303/.412.166.29319422%7%97+1.1
Yairo Muñoz
2015 · A
20 41→51 38→50 48→55 42 .195/.251/.276 .081.262 47 26% 6% 43 -2.2 .218/.254/.321 .103.267 109 22% 4% 56 -1.3 .270/.315/.386.116.325111820%5%92+0.6
Ke'Bryan Hayes
2017 · A
20 45→54 39→50 46→50 42 .220/.270/.303 .083.278 79 23% 5% 58 -1.2 .233/.289/.330 .097.297 714 22% 7% 72 -0.2 .256/.313/.394.138.313121621%7%95+1.2
Dilson Herrera
2014 · A
20 43→53 45→50 49→50 40 .213/.264/.339 .126.281 1211 28% 6% 65 -0.7 .248/.297/.383 .135.313 1413 24% 6% 90 +1.0 .257/.307/.397.140.313151322%6%94+1.2
Chun-Hsiu Chen
2010 · A
21 43→53 41→50 48→45 40 .209/.263/.306 .097.302 86 32% 7% 55 -1.4 .250/.309/.388 .138.334 124 27% 7% 96 +1.5 .256/.318/.393.137.34712428%8%99+1.3