Ryan WidemanOF Lake Elsinore Storm
Age 22 R/R 6'4" / 204 lbs A HR +13%BB +8% Svc 0.0 · Ctrl thru 2036 peak 1.3 · 2030
wRC+†119
AVG/OBP/SLG.212 / .278 / .342
PA112
HR3
SB13
K%30
BB%7
MLB%0%
BAT: +2.4 runs (wOBA-derived runs vs avg)+2BATRUN: +1.0 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.0 runs (Defensive runs vs avg)-0FLDPOS: -0.7 runs (Positional adjustment)-1POSREP: +3.2 runs (Replacement-level credit)+3REPTotal WAR: +0.60+0.6WAR
Scouting · nowfuture
HIT
3043
PWR
3546
SPD
6062
FLD
4553
trajectory · 10 yrs
1.3peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M+1.3$12M+$11M
2032Ext / FA-deal$0.9M+1.2$11M+$11M
2033Ext / FA-deal$1.0M+1.1$11M+$10M
2034Ext / FA-deal$2M+0.9$5M+$3M
2035Ext / FA-deal$2M+0.6$3M+$1M
2036Ext / FA-deal$2M+0.4$2M+$0.2M
Totals $9M $44M +$36M

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 ALake Elsinore Storm 11299 18110 9453 111 .182.270.212.482 .030.327 408 .222 28 -9 +2 +0 -1 +3 -0.5
▸ 2026 Season (actual · ROS · total)
202622 ALake Elsinore Storm 8675 21613 6194 124 .280.365.507.871 .227.333 227 .354 129 +3 +1 +0 -1 +2 0.6
ROS22 MLBSD 2624 5101 270 10 .208.269.375.644 .167.295 278 .296 84 -0 +0 -0 -0 +1 0.0
TOT22 MLBSD 11299 26714 8264 134 .263.342.475.817 .212.314 237 .340 119 +2 +1 -0 -1 +3 0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%SD 197176 40815 16473 72 .227.303.369.672 .142.286 248 .312 97 -1 +1 -0 -1 +6 0.4
202824 MLB 26%SD 305271 651329 26725 103 .240.318.402.720 .162.287 249 .317 101 +0 +1 -0 -2 +9 0.8
202925 MLB 43%SD 370329 7815211 32876 113 .237.316.395.711 .158.288 249 .320 103 +1 +1 -0 -2 +10 1.1
203026 MLB 58%SD 412365 8717312 37967 123 .238.320.400.720 .162.289 239 .322 105 +2 +1 -0 -2 +12 1.3
203127 MLB 76%SD 431382 9218313 391017 123 .241.322.406.728 .165.289 239 .322 105 +2 +1 -0 -3 +12 1.3
203228 MLB 84%SD 440390 9318313 401047 113 .238.320.400.720 .162.288 249 .321 104 +2 +1 -1 -3 +12 1.2
203329 MLB 90%SD 438388 9218313 401057 113 .237.320.399.719 .162.288 249 .319 102 +1 +1 -2 -3 +12 1.1
203430 MLBSD 433383 8917312 401057 112 .232.316.386.703 .154.286 249 .316 100 -0 +1 -2 -3 +12 0.9
203531 MLBSD 422373 8717312 391047 102 .233.317.391.709 .158.285 259 .312 97 -1 +1 -3 -3 +12 0.6
203632 MLBSD 406360 8216211 371036 91 .228.310.375.685 .147.283 259 .307 93 -3 +1 -4 -2 +12 0.4
203733 MLBSD 377334 7414210 34986 81 .222.305.365.670 .144.282 269 .302 89 -5 +1 -4 -2 +11 0.1
203834 MLBSD 334296 641228 30905 71 .216.299.351.650 .135.280 279 .295 84 -6 +1 -5 -2 +9 -0.3
203935 MLBSD 281250 531026 25784 60 .212.294.340.634 .128.277 289 .287 78 -7 +1 -6 -2 +8 -0.5
▸ Career Totals (MLE all levels + projections)
Career 49844420 101919532136 446124280 13728 .231.312.381.694 .151.288 259 .311 96 -24 +16 -26 -30 +141 7.9
/ 162G 650576 13325418 5816210 184 .231.312.382.694 .151.288 259 .311 96 -3 +2 -3 -4 +18 1.0

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 ALake Elsinore Storm 11296 22210 12323 111 .229.333.271.604 .042.338 2911 .285 77 -3 +2 +3 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
Ryan Wideman (OGILVIE) 22 30→43 35→46 60→62 .212/.278/.342 .130.289 33 30% 7% 73 -0.0
Alex Castellanos
2009 · A
22 44→50 46→55 57→50 35 .216/.265/.348 .132.303 1217 32% 4% 68 -0.5 .217/.269/.350 .133.310 1115 32% 4% 70 -0.3 .231/.292/.408.176.307181529%6%93+1.1
Ceddanne Rafaela
2022 · A
21 42→50 47→55 58→55 39 .214/.256/.353 .139.265 1415 25% 4% 65 -0.7 .239/.275/.401 .162.303 1822 27% 4% 85 +0.7 .244/.283/.399.155.300172424%4%86+0.7
Jonathan India
2019 · A
22 43→51 45→50 51→50 45 .208/.290/.333 .125.296 1210 32% 8% 76 +0.0 .217/.304/.340 .123.297 1210 29% 9% 83 +0.6 .243/.342/.393.150.294171122%10%107+1.9
Edward Olivares
2018 · A
22 42→52 47→55 51→55 39 .214/.266/.352 .138.266 1413 25% 4% 69 -0.4 .223/.265/.352 .129.280 1316 25% 4% 68 -0.5 .259/.316/.431.172.293201619%6%108+1.4
Mark Zagunis
2015 · A
22 48→53 41→45 55→50 47 .227/.299/.337 .110.295 714 24% 8% 79 +0.3 .237/.325/.365 .128.306 119 24% 10% 98 +1.6 .233/.329/.369.136.30312825%10%98+1.2
Aaron Altherr
2014 · A
23 42→51 43→55 54→50 37 .206/.253/.321 .116.306 917 35% 6% 56 -1.3 .223/.277/.360 .137.301 1214 29% 6% 76 +0.1 .244/.318/.420.176.303171424%8%104+1.5
Romy Gonzalez
2019 · A
22 39→44 46→55 53→55 34 .196/.247/.327 .132.312 1410 40% 6% 55 -1.4 .198/.251/.317 .119.302 1212 37% 6% 54 -1.4 .258/.302/.412.153.342171628%5%96+0.7
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
Johan Lopez
2022 · A
22 44 44→45 56→55 44 .214/.289/.333 .120.290 1117 29% 8% 75 -0.0 .194/.265/.298 .104.295 1012 35% 7% 56 -1.3 .168/.239/.253.086.25381235%7%31-1.1
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
Phillip Ervin
2015 · A
23 43→52 43→50 56→55 44 .210/.266/.328 .118.264 916 24% 6% 63 -0.9 .209/.281/.330 .121.263 1223 24% 8% 71 -0.3 .238/.302/.379.141.300142124%7%88+0.7
Matt McLain
2022 · A
22 46→56 44→55 53→55 48 .222/.299/.339 .117.299 1119 28% 9% 80 +0.4 .233/.315/.415 .182.322 2023 32% 9% 107 +2.2 .229/.313/.400.171.309202330%9%99+1.5
Cedric Mullins
2017 · A
22 42→52 47→55 55→60 39 .215/.247/.354 .139.261 1416 24% 4% 61 -1.0 .224/.266/.362 .138.266 1416 21% 5% 72 -0.2 .254/.323/.426.171.293192719%8%108+2.3
Jahmai Jones
2019 · AA
21 46→50 43→55 54→50 45 .224/.284/.338 .114.286 1016 25% 7% 72 -0.2 .200/.260/.299 .099.269 912 27% 7% 53 -1.5 .250/.346/.432.182.322171826%11%119+1.6
Efrain Contreras
2009 · A
22 46 43→45 53→55 44 .225/.288/.337 .112.264 1113 19% 5% 76 +0.0 .205/.261/.289 .084.285 79 29% 6% 51 -1.7 .186/.239/.251.065.2756733%5%28-1.3
Drew Stubbs
2007 · A
22 42→52 41→50 53→60 40 .201/.273/.298 .098.311 915 36% 8% 59 -1.1 .221/.290/.328 .107.321 920 31% 8% 73 -0.1 .241/.313/.367.126.326133728%9%90+1.1
Mario Lisson
2006 · A
22 46→49 43→55 57→55 50 .222/.307/.345 .122.296 1018 26% 10% 85 +0.7 .222/.287/.338 .116.289 1121 26% 7% 75 -0.0 .233/.305/.376.142.30418828%8%91+0.8
Esteury Ruiz
2021 · A
22 41→51 42→50 56→70 36 .199/.251/.302 .103.302 1028 36% 6% 50 -1.8 .237/.304/.371 .134.306 1450 26% 6% 91 +1.1 .264/.338/.396.132.327137422%6%108+1.6
Roger Bernadina
2006 · A
22 39→49 44→45 54→60 49 .200/.275/.314 .114.247 1319 24% 8% 64 -0.8 .233/.293/.330 .097.310 825 26% 7% 74 -0.1 .263/.320/.391.127.327123122%7%97+1.4
Juan Mora
2022 · A
22 46 44→45 55 46 .222/.297/.343 .121.288 1115 26% 8% 81 +0.4 .226/.283/.335 .109.306 109 28% 5% 72 -0.2 .220/.277/.325.105.29210827%5%65-0.3