Ryan WeingartnerSS Palm Beach Cardinals
Age 22 R/R 5'11" / 184 lbs A HR -7%K -4% Svc 0.0 · Ctrl thru 2036 peak 1.7 · 2031
wRC+†66
AVG/OBP/SLG.207 / .274 / .316
PA96
HR2
SB7
K%31
BB%7
MLB%0%
BAT: -3.7 runs (wOBA-derived runs vs avg)-4BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.0 runs (Positional adjustment)+1POSREP: +2.7 runs (Replacement-level credit)+3REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
1.7peak
2031

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+1.7$16M+$15M
2032Ext / FA-deal$0.9M+1.6$15M+$14M
2033Ext / FA-deal$1.0M+1.4$14M+$13M
2034Ext / FA-deal$2M+1.2$12M+$10M
2035Ext / FA-deal$3M+1.0$10M+$7M
2036Ext / FA-deal$3M+0.6$3M-$0.2M
Totals $12M $71M +$59M

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 APalm Beach Cardinals 9073 8010 14371 54 .110.261.137.398 .027.216 4116 .200 11 -9 -1 +0 +1 +3 -0.6
▸ 2026 Season (actual · ROS · total)
202622 APalm Beach Cardinals 6654 10101 9263 63 .185.333.259.593 .074.333 3914 .270 65 -3 +0 +0 +1 +2 -0.0
ROS22 MLBSTL 3027 6101 3100 10 .222.300.370.670 .148.295 3310 .273 67 -1 +0 +0 +0 +1 0.0
TOT22 MLBSTL 9681 16202 12363 73 .198.323.296.619 .099.326 3812 .271 66 -4 +0 +0 +1 +3 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%STL 185163 36614 17473 52 .221.306.344.650 .123.281 259 .295 84 -3 +0 +0 +2 +5 0.4
202824 MLB 26%STL 296262 591027 28744 93 .225.310.359.668 .134.283 259 .304 91 -3 +1 +0 +3 +8 0.9
202925 MLB 43%STL 364321 7312210 35905 114 .227.313.371.684 .143.285 2510 .310 95 -2 +1 +0 +4 +10 1.3
203026 MLB 58%STL 407358 8214211 401006 124 .229.317.372.688 .142.286 2510 .313 97 -1 +1 +0 +4 +12 1.6
203127 MLB 76%STL 427376 8614212 421056 124 .229.316.372.688 .144.286 2510 .313 97 -1 +1 +0 +5 +12 1.7
203228 MLB 84%STL 437384 8815212 441096 124 .229.318.372.690 .143.285 2510 .312 97 -2 +1 -1 +5 +12 1.6
203329 MLB 90%STL 435382 8614212 441096 114 .225.315.366.681 .141.284 2510 .309 95 -2 +1 -1 +5 +12 1.4
203430 MLBSTL 431379 8414211 431106 103 .222.311.356.667 .135.283 2610 .306 93 -4 +1 -2 +5 +12 1.2
203531 MLBSTL 420369 8113211 421096 82 .220.309.355.664 .136.281 2610 .303 90 -5 +1 -3 +4 +12 1.0
203632 MLBSTL 404356 7813210 401075 62 .219.307.351.658 .132.280 2610 .298 86 -6 +0 -4 +4 +11 0.6
203733 MLBSTL 375330 711129 371025 41 .215.304.342.646 .127.278 2710 .292 82 -8 +0 -4 +4 +11 0.3
203834 MLBSTL 331291 611027 33924 21 .210.299.330.629 .120.277 2810 .286 77 -9 +0 -5 +4 +9 -0.1
203935 MLBSTL 279246 50816 27814 20 .203.292.317.609 .114.274 2910 .279 71 -9 +0 -6 +3 +8 -0.3
▸ Career Totals (MLE all levels + projections)
Career 49114317 94915525123 489128267 11038 .220.309.353.662 .133.281 2610 .301 88 -65 +7 -25 +53 +139 11.0
/ 162G 650571 12621316 651709 155 .221.310.352.662 .131.284 2610 .301 88 -9 +1 -3 +7 +18 1.5

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 APalm Beach Cardinals 9069 10010 18261 54 .145.330.174.503 .029.227 2920 .256 54 -5 -1 +3 -0.3

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 Weingartner (OGILVIE) 22 .207/.274/.316 .110.290 22 31% 7% 64 -0.1
James McCann
2012 · A
22 41→51 42→50 49→45 39 .203/.260/.306 .103.288 97 32% 6% 55 -1.4 .223/.261/.310 .087.291 66 24% 4% 55 -1.4 .254/.315/.415.161.33120428%7%104+1.1
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
Alonzo Harris
2011 · A
22 39→49 42→55 51→60 36 .196/.232/.300 .103.263 1013 30% 4% 40 -2.4 .219/.261/.311 .092.282 718 24% 5% 56 -1.3 .240/.296/.401.161.286193522%7%92+0.9
Blaze Alexander
2021 · A
22 45→48 42→50 51→50 43 .218/.284/.328 .110.300 911 29% 7% 71 -0.3 .204/.275/.332 .128.317 1412 38% 7% 69 -0.4 .220/.308/.345.126.328131034%8%84+0.4
Agustín Ramírez
2023 · A
21 43→45 45→55 50 43 .213/.273/.339 .126.289 1210 30% 7% 69 -0.4 .229/.292/.389 .160.276 1913 24% 8% 90 +1.0 .230/.293/.405.176.264221622%7%92+1.1
Sam McWilliams
2021 · A
23 44→53 40→55 52→50 40 .207/.266/.301 .094.307 711 33% 7% 56 -1.3 .237/.296/.383 .146.369 159 37% 7% 90 +1.0 .244/.305/.407.163.380181038%7%98+1.1
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
Rainel Rosario
2011 · A
22 42→51 45→50 46→50 44 .207/.283/.342 .135.296 119 32% 8% 74 -0.1 .210/.267/.310 .100.310 89 33% 7% 59 -1.1 .253/.308/.402.150.28519618%7%96+1.1
Nick Ahmed
2012 · A
22 43→53 39→55 50→55 45 .210/.267/.297 .088.269 613 24% 7% 55 -1.4 .217/.262/.301 .084.277 520 22% 5% 53 -1.5 .244/.306/.411.168.27818719%8%98+1.3
Sean Bouchard
2019 · A
23 38→44 44→55 48→50 37 .196/.244/.314 .117.275 1213 33% 5% 50 -1.7 .201/.254/.332 .131.296 1310 35% 6% 59 -1.1 .223/.323/.415.191.292211629%11%106+1.0
Bo Naylor
2021 · A
21 41→43 44→55 50 43 .203/.259/.325 .122.273 117 29% 7% 59 -1.1 .199/.278/.352 .153.276 1812 33% 9% 75 -0.0 .216/.308/.399.183.269221228%11%97+1.2
Keon Broxton
2013 · A
23 41→50 42→55 52→60 39 .199/.257/.303 .104.305 1016 36% 7% 53 -1.5 .215/.269/.344 .129.326 1317 36% 7% 68 -0.5 .225/.301/.390.165.341173836%9%92+1.0
Ryan McKenna
2018 · A
21 43→53 42→50 52→55 39 .210/.265/.317 .107.297 912 31% 6% 59 -1.1 .226/.289/.332 .106.311 912 28% 7% 73 -0.1 .218/.295/.357.140.319161334%9%80+0.2
John Hester
2007 · A
23 42 43→55 50 41 .206/.271/.327 .122.299 107 33% 7% 65 -0.7 .224/.267/.365 .141.298 147 29% 5% 72 -0.2 .249/.292/.416.167.322151027%5%94+0.7
Connor Norby
2022 · A
22 48→49 43→55 49→50 45 .228/.300/.340 .113.324 1011 31% 8% 81 +0.4 .238/.298/.405 .167.308 2011 28% 7% 97 +1.5 .239/.300/.413.174.310211129%7%97+1.5
Eguy Rosario
2021 · A
21 43→49 42→55 48→55 39 .213/.259/.322 .109.292 912 30% 5% 58 -1.2 .227/.286/.366 .139.304 1420 28% 7% 82 +0.5 .223/.285/.369.146.292152128%7%80+0.2
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
Adam Abraham
2009 · A
22 39→47 44→50 49→40 43 .199/.261/.312 .112.263 115 28% 7% 57 -1.2 .215/.270/.328 .113.270 104 23% 6% 65 -0.7 .222/.283/.344.122.28112224%7%72-0.1
Christopher Bostick
2015 · A
22 43→53 44→45 52→55 40 .212/.265/.333 .122.290 1015 30% 6% 64 -0.8 .222/.269/.335 .113.294 915 26% 5% 66 -0.6 .235/.286/.345.110.3069725%5%72-0.2
Parker Meadows
2022 · A
22 37→47 41→55 44→55 41 .185/.244/.280 .095.257 99 31% 7% 41 -2.3 .218/.280/.374 .156.279 1716 27% 7% 82 +0.5 .225/.292/.400.175.278202126%8%91+1.1