Diego GuzmanSS Quad Cities River Bandits
Age 22 R/R 5'11" / 200 lbs A+ HR -5%BB +4% Svc 0.0 · Ctrl thru 2035 peak 0.1 · 2030
wRC+†39
AVG/OBP/SLG.183 / .242 / .272
PA164
HR2
K%36
BB%7
MLB%0%
BAT: -11.3 runs (wOBA-derived runs vs avg)-11BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.8 runs (Positional adjustment)+2POSREP: +4.6 runs (Replacement-level credit)+5REPTotal WAR: -0.50-0.5WAR
Scouting · nowfuture
HIT
2525
PWR
2020
SPD
5555
EYE
3735
trajectory · 10 yrs
0.1peak
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+0.1$0.5M+$0.0M (cut)
2031Arb-3$0.9M+0.1$0.5M+$0.0M (cut)
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$0.2M
2034Ext / FA-deal$0.4M
2035Ext / FA-deal$0.6M
Totals $3M $-4M -$7M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202117 ROKACL Royals Blue 10090 12201 7582 32 .133.212.189.401 .056.355 587 .175 -8 -12 -0 +0 +1 +3 -0.9
202218 ROKACL Royals 124116 16221 7641 33 .138.194.216.409 .078.294 526 .165 -15 -16 -1 +0 +1 +4 -1.2
202319 ROKACL Royals 9689 13311 5240 22 .146.191.236.427 .090.182 255 .174 -9 -12 -0 +0 +1 +3 -0.9
202420 A2 teams 200191 27824 6882 62 .141.176.267.443 .126.232 443 .182 -2 -23 +0 +0 +2 +6 -1.5
202521 A+2 teams 197173 29510 11832 94 .168.226.208.434 .040.312 426 .190 4 -21 +0 +0 +2 +6 -1.4
▸ 2026 Season
202622 MLBKC 164151 27512 11591 31 .179.239.265.504 .086.282 367 .236 39 -11 +0 +0 +2 +5 -0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%KC 235214 41814 17802 51 .192.258.294.552 .103.284 347 .253 52 -13 +1 +0 +3 +7 -0.3
202824 MLB 26%KC 333302 621227 251103 72 .205.273.328.601 .123.285 338 .263 59 -15 +1 +0 +4 +9 -0.2
202925 MLB 44%KC 391355 721428 301263 82 .203.271.321.592 .118.286 328 .269 64 -16 +1 +0 +4 +11 0.0
203026 MLB 59%KC 427386 791529 341374 93 .205.276.324.600 .119.287 328 .272 66 -16 +1 +0 +5 +12 0.1
203127 MLB 84%KC 444401 8216210 361434 103 .204.277.329.606 .125.287 328 .272 66 -17 +1 +0 +5 +13 0.1
203228 MLBKC 450406 8316210 371454 92 .204.277.328.605 .123.287 328 .271 66 -18 +1 -1 +5 +13 0.0
203329 MLBKC 446403 811629 361454 92 .201.273.318.591 .117.286 338 .269 64 -18 +1 -1 +5 +13 -0.1
203430 MLBKC 440397 791529 361454 82 .199.272.315.587 .116.284 338 .266 62 -19 +1 -2 +5 +12 -0.3
203531 MLBKC 428387 761528 351433 71 .196.268.307.576 .111.282 338 .262 59 -20 +1 -3 +5 +12 -0.5
203632 MLBKC 411372 731428 331393 61 .196.267.309.576 .113.281 348 .257 55 -21 +1 -4 +4 +12 -0.8
203733 MLBKC 383346 661227 311323 60 .191.263.298.561 .107.279 348 .252 51 -21 +1 -4 +4 +11 -0.9
203834 MLBKC 339307 561115 271202 50 .182.253.274.527 .091.277 358 .246 46 -21 +1 -5 +4 +10 -1.1
▸ Career Totals (MLE all levels + projections)
Career 56085086 97418929103 424194147 11533 .192.260.301.561 .109.284 358 .252 51 -310 +10 -20 +60 +159 -10.3
/ 162G 650589 11322312 492255 134 .192.259.301.560 .109.285 358 .252 51 -36 +1 -2 +7 +18 -1.2

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
202117 ROKACL Royals Blue 10085 19401 12402 32 .224.333.306.639 .082.409 4012 .297 86 -2 -0 +3 0.1
202218 ROKACL Royals 124111 22331 12431 33 .198.282.306.589 .108.313 3510 .270 65 -5 -1 +4 -0.2
202319 ROKACL Royals 9686 17411 8170 22 .198.266.302.568 .105.229 188 .254 52 -5 -0 +3 -0.3
202420 AColumbia Fireflies 128121 15412 6420 30 .124.165.223.388 .099.169 335 .175 -8 -16 +1 +4 -1.2
202420 ROKACL Royals 7267 23823 3192 32 .343.389.6571.046 .313.444 264 .449 202 +8 -0 +2 1.0
202521 A+Quad Cities River Bandits 175151 30610 14581 84 .199.271.252.523 .053.316 338 .232 36 -13 +0 +5 -0.8
202521 INTLCaribes de Anzoategui 2218 3000 151 10 .167.250.167.417 .000.214 235 .189 3 -2 +0 +1 -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
Diego Guzman (OGILVIE) 22 25 20 55 35 .183/.242/.272 .090.282 23 36% 7% 39 -0.7
Fabian Pertuz
2023 · A
22 39→35 41→40 49→55 34 .191/.234/.284 .092.286 89 35% 4% 37 -2.6 .177/.227/.268 .091.270 912 36% 5% 30 -3.1 .148/.203/.232.084.22991338%5%9-2.3
Braulio Vasquez
2021 · A
22 40 39→40 44→65 37 .193/.250/.274 .080.298 77 36% 6% 42 -2.3 .205/.278/.298 .093.301 729 32% 7% 61 -1.0 .200/.277/.293.093.28774230%7%55-0.6
Glenn Santiago
2023 · A
22 41 41→40 46→45 40 .203/.258/.301 .098.286 88 31% 6% 52 -1.6 .200/.266/.289 .089.294 89 32% 7% 53 -1.5 .183/.256/.260.077.2697832%8%40-1.1
Ismael Alcantara
2021 · A
22 42→30 38→45 56→50 41 .197/.266/.279 .082.311 516 36% 8% 50 -1.7 .214/.271/.343 .129.318 1313 35% 6% 69 -0.4 .203/.261/.318.115.298121635%6%54-0.8
Juan Zabala
2021 · A
22 39 38→40 47→50 37 .185/.248/.266 .081.290 65 36% 6% 40 -2.4 .211/.273/.305 .094.302 913 31% 7% 60 -1.0 .203/.265/.285.083.28381630%7%48-0.8
Frank Veliz
2022 · A
22 39 37→30 48→55 38 .187/.242/.261 .074.285 58 34% 6% 35 -2.8 .191/.251/.276 .085.325 66 40% 7% 43 -2.2 .133/.206/.210.077.2457046%7%4-0.8
Ronaldo Urdaneta
2021 · A
22 44 39→40 53→60 40 .210/.265/.300 .090.306 614 32% 6% 54 -1.4 .187/.266/.264 .077.308 622 38% 8% 47 -1.9 .145/.239/.202.057.24353339%9%19-1.1
Aaron McKeithan
2022 · A
22 41 39→40 49→40 40 .198/.263/.282 .084.277 67 29% 6% 50 -1.7 .218/.296/.304 .086.283 84 24% 7% 70 -0.3 .219/.302/.289.070.2807122%7%69-0.2
Mike Martin
2016 · A
23 41 35→30 52→55 42 .188/.277/.248 .060.302 312 35% 8% 49 -1.8 .222/.280/.282 .060.288 317 22% 6% 56 -1.3 .244/.292/.297.053.29922318%5%62-0.3
Arturo De Freitas
2023 · A
22 35 39→45 45→40 34 .177/.225/.258 .082.279 74 38% 5% 27 -3.3 .181/.235/.260 .079.301 75 40% 6% 32 -3.0 .113/.162/.125.012.2130044%5%-37-1.5
Justin Twine
2018 · A
22 35→30 37→40 46→50 30 .173/.210/.242 .070.266 47 36% 3% 16 -4.1 .208/.247/.294 .086.301 610 32% 3% 45 -2.1 .212/.248/.304.092.31771434%3%46-1.1
Cadyn Grenier
2019 · A
22 41→37 39→40 48→50 36 .193/.245/.286 .093.307 68 37% 6% 43 -2.2 .190/.258/.291 .101.314 98 39% 7% 51 -1.7 .176/.260/.272.096.27981137%9%44-1.5
Steven Baron
2014 · A
23 36 40→45 52→50 36 .183/.218/.281 .098.255 79 31% 4% 30 -3.1 .212/.258/.297 .085.293 59 28% 6% 50 -1.7 .233/.289/.308.075.3134825%7%63-0.4
Jordyn Adams
2022 · A
22 39→41 40→45 51→60 37 .187/.247/.273 .085.307 815 40% 7% 40 -2.4 .194/.252/.287 .093.306 828 37% 6% 46 -2.0 .194/.256/.310.116.294123236%7%52-1.3
Nick Quintana
2021 · A
23 39→40 39→45 49→45 37 .187/.241/.273 .085.291 69 36% 6% 37 -2.6 .183/.266/.292 .109.257 115 31% 9% 55 -1.4 .165/.258/.271.106.22711331%10%44-1.1
Julio Carrion
2021 · A
22 39 38→40 50→45 38 .186/.255/.265 .079.301 66 38% 7% 43 -2.2 .184/.264/.271 .087.309 85 40% 8% 49 -1.8 .162/.243/.246.084.2909344%7%31-1.1
Chris Roller
2019 · A
22 40 41→45 51→55 43 .194/.269/.295 .102.283 813 32% 8% 56 -1.3 .206/.272/.316 .110.289 812 30% 7% 63 -0.9 .179/.267/.290.111.261111933%9%54-0.8
Arturo Guerrero
2023 · A
22 40 39→40 51→50 33 .179/.254/.269 .090.329 612 44% 6% 43 -2.2 .188/.262/.286 .098.364 89 47% 7% 51 -1.7 .141/.225/.248.108.31412954%6%30-0.6
Claudio Finol
2023 · AA
23 39 38→40 49→45 40 .187/.243/.265 .078.259 58 29% 6% 37 -2.7 .205/.266/.297 .092.292 810 31% 7% 55 -1.4 .195/.264/.279.084.281101232%7%48-0.5
Dyron Campos
2023 · A
22 37 42→30 47→50 38 .189/.240/.292 .103.270 107 33% 6% 43 -2.2 .177/.233/.270 .093.284 99 39% 5% 34 -2.8 .116/.177/.189.072.19381343%4%-12-2.0