Josiah RagsdaleOF Wisconsin Timber Rattlers
Age 22 L/L 6'0" / 185 lbs A+ BB +10%HR +7% Svc 0.0 · Ctrl thru 2035 peak 1.2 · 2031
wRC+†60
AVG/OBP/SLG.216 / .282 / .328
PA97
HR2
SB9
K%28
BB%8
MLB%0%
BAT: -4.4 runs (wOBA-derived runs vs avg)-4BATRUN: +1.8 runs (SB/CS + UBR baserunning)+2RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.6 runs (Positional adjustment)-1POSREP: +2.7 runs (Replacement-level credit)+3REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.1peak
2030

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+1.0$9M+$8M
2031Arb-3$0.9M+1.2$11M+$10M
2032Ext / FA-deal$0.9M+1.0$10M+$9M
2033Ext / FA-deal$2M+0.9$4M+$3M
2034Ext / FA-deal$2M+0.7$4M+$1M
2035Ext / FA-deal$2M+0.4$2M+$0.1M
Totals $9M $40M +$31M

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
202521 ACarolina Mudcats 9281 24100 10211 93 .296.380.309.689 .012.400 2311 .312 97 -0 +1 +0 -1 +3 0.2
▸ 2026 Season (actual · ROS · total)
202622 A+Wisconsin Timber Rattlers 5848 8211 9240 80 .167.298.312.611 .146.292 4116 .255 53 -3 +2 +0 -0 +2 -0.0
ROS22 MLBMIL 3936 7101 3120 10 .194.256.306.562 .111.290 318 .278 71 -1 +0 +0 -0 +1 -0.0
TOT22 MLBMIL 9784 15312 12360 90 .179.281.310.591 .131.277 3712 .264 60 -4 +2 +0 -1 +3 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%MIL 186164 36714 18442 61 .220.304.348.652 .128.274 2410 .297 86 -3 +1 +0 -1 +5 0.2
202824 MLB 26%MIL 297263 601128 29703 101 .228.312.376.688 .148.276 2410 .306 92 -3 +2 +0 -2 +8 0.6
202925 MLB 44%MIL 364322 7413310 36853 131 .230.313.382.695 .152.278 2310 .311 96 -2 +2 +0 -2 +10 0.9
203026 MLB 59%MIL 407359 8315311 41944 142 .231.317.382.698 .150.279 2310 .314 98 -1 +2 +0 -2 +12 1.0
203127 MLB 76%MIL 427376 8716312 44994 151 .231.318.386.704 .154.279 2310 .314 98 -1 +3 +0 -3 +12 1.2
203228 MLB 84%MIL 437385 8816312 451034 141 .229.316.379.695 .151.278 2410 .313 97 -1 +2 -1 -3 +12 1.0
203329 MLB 90%MIL 435383 8816312 451034 131 .230.317.381.698 .151.277 2410 .311 96 -2 +2 -1 -3 +12 0.9
203430 MLBMIL 431379 8615312 451044 120 .227.315.377.693 .150.276 2410 .307 93 -3 +2 -2 -3 +12 0.7
203531 MLBMIL 420369 8315311 441034 100 .225.314.371.685 .146.275 2510 .304 91 -4 +2 -3 -3 +12 0.4
203632 MLBMIL 404356 7714210 421013 80 .216.304.351.655 .135.273 2510 .299 87 -6 +2 -4 -2 +11 0.1
203733 MLBMIL 375330 701229 39963 60 .212.301.342.643 .130.271 2610 .294 83 -7 +1 -4 -2 +11 -0.2
203834 MLBMIL 331291 611127 34883 40 .210.299.333.632 .124.269 2710 .287 78 -8 +1 -5 -2 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 46454094 92416330119 475112342 13511 .226.313.367.680 .142.280 2410 .305 92 -43 +23 -20 -28 +132 6.5
/ 162G 650573 13023417 661576 192 .227.313.370.683 .143.281 2410 .305 92 -6 +3 -3 -4 +18 0.9

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
202521 ACarolina Mudcats 9270 21100 16151 93 .300.413.314.727 .014.382 1617 .340 118 +2 +1 +3 0.5

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
Josiah Ragsdale (OGILVIE) 22 .216/.282/.328 .113.290 22 28% 8% 71 -0.0
Trevor Larnach
2019 · A
22 48→53 45→55 51→45 47 .235/.297/.362 .127.292 117 23% 8% 85 +0.7 .238/.301/.359 .121.342 124 31% 7% 86 +0.8 .235/.316/.401.167.29321426%10%99+1.4
Akil Baddoo
2021 · A
22 41→51 43→55 55 44 .198/.268/.314 .116.295 914 34% 8% 60 -1.0 .234/.308/.374 .140.313 1421 27% 10% 92 +1.2 .232/.314/.375.143.300152426%11%91+0.8
Forrest Wall
2018 · A
22 45→55 40→45 51→70 43 .218/.268/.312 .094.281 816 25% 6% 59 -1.1 .218/.277/.327 .109.305 1019 30% 7% 67 -0.5 .260/.332/.371.111.35495027%9%98+1.0
Sam Hilliard
2016 · A
22 46→48 44→55 53→55 44 .221/.283/.347 .127.309 1010 30% 8% 75 -0.0 .209/.260/.321 .112.328 1118 37% 6% 58 -1.2 .203/.279/.381.178.280211834%9%80+0.2
TJ Friedl
2018 · A
22 47→53 41→50 49→55 43 .227/.287/.336 .109.294 711 24% 6% 74 -0.1 .225/.297/.323 .098.293 718 24% 7% 75 -0.0 .246/.337/.381.136.276151816%10%103+1.8
James Outman
2019 · A
22 40→49 47→60 53→50 39 .203/.260/.335 .132.285 1511 34% 6% 63 -0.9 .196/.265/.334 .138.273 1613 33% 7% 65 -0.7 .223/.317/.418.195.310251434%10%107+2.0
DJ Stewart
2017 · A
23 44→48 43→60 51→50 47 .213/.288/.324 .111.289 1016 28% 9% 72 -0.2 .228/.300/.377 .149.280 1714 24% 8% 91 +1.1 .228/.303/.393.165.269201223%8%94+1.1
Jason Martin
2017 · A
21 43→50 45→60 48→50 45 .216/.275/.346 .130.280 1213 27% 7% 71 -0.3 .222/.270/.365 .143.297 1512 29% 6% 74 -0.1 .218/.285/.408.191.27126829%8%90+0.7
JJ Bleday
2021 · A
23 44→50 43→55 48→45 42 .218/.269/.329 .110.289 107 28% 6% 64 -0.8 .191/.278/.336 .145.249 166 29% 10% 71 -0.3 .233/.319/.423.190.27122422%11%107+1.9
David Lough
2008 · A
22 47→57 41→50 51→50 41 .230/.276/.327 .098.291 811 24% 5% 66 -0.6 .243/.285/.376 .133.279 1311 18% 4% 83 +0.6 .268/.308/.394.126.308111416%4%94+1.2
Juan Silva
2013 · A
22 45→47 42→45 48→55 46 .215/.287/.318 .103.305 912 30% 9% 69 -0.4 .227/.304/.329 .102.305 823 26% 10% 79 +0.3 .224/.305/.319.095.29372924%10%74-0.1
Jarrett Parker
2012 · A
23 45→50 44→55 51→50 46 .214/.295/.330 .116.320 1113 34% 10% 76 +0.1 .210/.288/.351 .141.346 1515 40% 9% 79 +0.3 .230/.305/.409.179.334221235%8%97+1.2
Dwight Smith Jr.
2015 · A
22 50→53 42→50 53→50 49 .239/.297/.345 .106.289 812 20% 7% 79 +0.3 .241/.293/.347 .106.294 99 20% 7% 78 +0.2 .248/.308/.381.134.29513920%7%92+0.9
Kevin Kramer
2016 · A
22 45→54 40→50 54→50 44 .218/.273/.314 .096.278 712 24% 6% 62 -0.9 .243/.299/.351 .108.307 77 22% 6% 82 +0.5 .251/.306/.371.119.3269824%6%88+0.7
Alex Call
2017 · A
22 47→48 42→50 48→50 43 .229/.285/.333 .104.290 912 24% 6% 72 -0.2 .197/.256/.302 .105.271 98 29% 6% 53 -1.5 .221/.325/.367.147.256161720%12%99+1.2
Travis Blankenhorn
2019 · A
22 40→43 45→55 51→50 38 .201/.261/.328 .127.288 117 33% 6% 61 -1.0 .215/.262/.357 .142.295 169 32% 5% 69 -0.4 .211/.283/.380.168.27621631%8%81+0.3
Carlos Guzman
2008 · A
22 40→48 43→50 53→50 44 .197/.278/.309 .112.288 119 33% 8% 64 -0.8 .221/.269/.333 .112.308 129 31% 6% 65 -0.7 .235/.287/.332.097.30810326%6%70-0.2
Nick Dunn
2019 · A
22 43→53 39→45 47→40 40 .208/.263/.294 .086.271 78 26% 5% 53 -1.5 .205/.250/.287 .082.254 65 21% 5% 45 -2.1 .263/.330/.370.108.2899312%8%97+1.2
Jace Jung
2023 · A
22 45→42 39→55 50→40 50 .212/.293/.305 .093.295 68 28% 10% 69 -0.4 .219/.303/.384 .165.289 204 29% 10% 94 +1.3 .212/.303/.382.169.27421329%11%91+1.0
Nicky Delmonico
2014 · A
22 39→47 49→55 48→45 46 .202/.276/.345 .143.261 178 29% 8% 72 -0.2 .215/.272/.359 .144.291 156 30% 7% 74 -0.1 .233/.301/.393.161.28418424%8%92+0.9