Denzer GuzmanSS Salt Lake Bees
INJURED · Reassigned to Minors (RM)
Age 22 R/R 6'1" / 190 lbs AAA HR -5% Svc 1.000 · Ctrl thru 2030 peak 1.4 · 2030
wRC+†70
AVG/OBP/SLG.203 / .270 / .353
PA256
HR8
SB5
K%34
BB%7
MLB%40%
BAT: -8.8 runs (wOBA-derived runs vs avg)-9BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: -2.2 runs (Defensive runs vs avg)-2FLDPOS: +2.7 runs (Positional adjustment)+3POSREP: +7.3 runs (Replacement-level credit)+7REPTotal WAR: -0.10-0.1WAR
Scouting · nowfuture
HIT
2437
PWR
4150
SPD
5750
FLD
5056
EYE
4860
trajectory · 10 yrs
2.3peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2025
Service   1.000 yrs.days
Team Control Through   2030
First FA Year   2031
YearStatusSalary Proj WAR Value Surplus
2026Pre-Arb$0.8M
2027Pre-Arb$0.8M+0.6$2M+$2M
2028Arb-1$2M+1.0$8M+$6M
2029Arb-2$5M+1.3$11M+$6M
2030Arb-3$8M+1.4$13M+$4M
Totals $16M $35M +$18M

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 ROKDSL Angels 164149 23713 12351 117 .154.222.275.497 .121.177 217 .217 24 -14 -1 +0 +2 +5 -0.8
202218 ROK2 teams 234217 40722 13762 41 .184.237.263.500 .078.270 326 .223 29 -19 +0 +0 +3 +7 -0.9
202319 AInland Empire 66ers 472437 781556 311762 84 .178.236.277.513 .098.280 377 .227 32 -36 +0 +0 +5 +13 -1.8
202420 AA3 teams 451411 721016 301693 107 .175.236.248.485 .073.277 377 .214 22 -40 -1 +0 +5 +13 -2.3
202521 AA4 teams 613555 10728117 462108 154 .193.264.339.603 .146.271 348 .266 62 -26 +1 -4 +7 +17 -0.5
▸ 2026 Season (actual · ROS · total)
202622 AAASalt Lake Bees 10090 19202 8270 22 .211.276.300.576 .089.270 278 .274 68 -4 -0 +0 +1 +3 -0.0
ROS22 MLBLAA 156142 30605 12511 31 .211.277.359.637 .148.283 338 .278 71 -5 +0 -2 +2 +4 -0.1
TOT22 MLBLAA 256232 49807 20781 53 .211.277.336.613 .125.280 308 .276 70 -9 -0 -2 +3 +7 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 58%LAA 661599 13226221 522055 135 .220.288.376.664 .155.294 318 .295 84 -12 +1 -9 +7 +19 0.5
202824 MLB 76%LAA 673606 13627222 562036 135 .224.296.384.681 .160.294 308 .301 89 -9 +1 -9 +7 +19 0.9
202925 MLB 91%LAA 678609 13827222 582016 135 .227.300.386.686 .159.295 309 .306 92 -6 +1 -10 +7 +19 1.2
203026 MLBLAA 678608 13927223 591996 135 .229.303.393.696 .164.295 299 .308 94 -5 +1 -10 +7 +19 1.3
203127 MLBLAA 673603 13727222 591996 135 .227.302.388.690 .161.295 309 .308 94 -5 +1 -9 +7 +19 1.3
203228 MLBLAA 665595 13426222 591986 124 .225.302.387.688 .161.295 309 .307 93 -5 +1 -10 +7 +19 1.2
203329 MLBLAA 653584 13126221 581966 104 .224.301.384.684 .159.294 309 .305 91 -6 +0 -11 +7 +19 0.9
203430 MLBLAA 641574 12725220 571945 93 .221.297.376.673 .155.293 309 .301 89 -8 +1 -11 +7 +18 0.7
203531 MLBLAA 626560 12224119 561925 62 .218.295.366.661 .148.291 319 .298 86 -10 +0 -12 +7 +18 0.3
203632 MLBLAA 607543 11723118 541905 31 .215.292.361.653 .145.290 319 .293 82 -12 +0 -12 +7 +17 -0.0
203733 MLBLAA 577517 10921117 511844 10 .211.287.354.641 .143.288 329 .287 78 -14 +0 -12 +6 +16 -0.4
203834 MLBLAA 528473 9719114 461734 00 .205.281.338.619 .133.286 339 .281 73 -16 +0 -12 +6 +15 -0.8
203935 MLBLAA 471424 8516112 411593 00 .200.276.328.603 .127.283 349 .273 67 -18 +0 -12 +5 +13 -1.2
▸ Career Totals (MLE all levels + projections)
Career 102219206 195438731292 850321084 15763 .212.285.356.641 .144.289 318 .286 77 -266 +6 -145 +110 +290 -0.7
/ 162G 650585 12525219 542045 104 .214.285.361.646 .147.290 318 .286 77 -17 +0 -9 +7 +18 -0.0

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
202117 ROKDSL Angels 164141 301013 20241 117 .213.315.362.677 .149.233 1512 .304 91 -2 -1 +5 0.2
202218 AInland Empire 66ers 2317 3000 6100 10 .176.391.176.568 .000.429 4326 .300 88 -0 +0 +1 0.1
202218 ROKACL Angels 211192 551133 15442 31 .286.344.422.766 .135.354 217 .339 118 +4 +0 +6 1.1
202319 AInland Empire 66ers 472426 1022177 421312 84 .239.311.371.682 .131.328 289 .306 92 -4 +0 +13 0.9
202420 AARocket City Trash Pandas 342296 61916 36903 76 .206.298.304.602 .098.272 2611 .274 68 -12 -1 +10 -0.4
202420 A+Tri-City Dust Devils 8479 23310 4280 31 .291.325.354.680 .063.451 335 .303 90 -1 +0 +2 0.2
202420 INTLToros del Este 2525 5100 090 00 .200.200.240.440 .040.312 360 .196 8 -3 +0 +1 -0.2
202521 MLBLos Angeles Angels 4342 8102 1220 00 .190.209.357.566 .167.333 512 .248 48 -3 +0 -4 +7 +1 0.2
202521 AAASalt Lake Bees 153130 34706 21451 60 .262.368.454.822 .192.350 2914 .365 138 +6 +1 +4 1.2
202521 AARocket City Trash Pandas 386335 8123111 41927 83 .242.337.415.752 .173.298 2411 .335 115 +6 +0 +11 1.8
202521 INTLToros del Este 3126 3101 5100 11 .115.258.269.527 .154.133 3216 .250 50 -2 -0 +1 -0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career 4342 8102 1220 00 .190.209.357.566 .167.333 512 .248 48 -3 +0 -4 +7 +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
Denzer Guzman (OGILVIE) 22 24→37 41→50 57→50 60 .203/.270/.353 .150.285 85 34% 7% 73 -0.1
Jo Adell
2021 · MLB
22 43→44 49→65 50 37 .217/.269/.369 .152.313 1710 36% 6% 76 +0.0 .215/.266/.393 .178.304 2310 36% 6% 81 +0.4 .218/.285/.446.228.252341229%7%101+1.4
Yu Chang
2018 · AA
22 37→44 49→50 49→45 39 .195/.252/.345 .150.266 179 33% 6% 63 -0.9 .209/.268/.346 .137.291 147 32% 7% 69 -0.4 .213/.268/.374.161.27120629%6%75-0.0
Nolan Gorman
2022 · AAA
22 41→43 50→60 49→45 38 .217/.263/.368 .151.290 196 32% 5% 72 -0.2 .225/.287/.421 .196.300 287 34% 8% 97 +1.5 .213/.287/.426.213.28031735%9%95+1.2
Bo Naylor
2023 · AAA
23 39→43 51→55 54→50 47 .204/.289/.363 .160.282 1816 33% 10% 82 +0.5 .215/.301/.392 .177.270 2110 27% 10% 95 +1.4 .206/.293/.385.178.24722626%10%88+0.6
Brennen Davis
2023 · AAA
23 40→41 49→50 43→45 40 .203/.283/.349 .146.303 177 37% 7% 77 +0.1 .191/.276/.326 .135.260 179 32% 7% 69 -0.4 .172/.265/.319.148.21721931%7%61-0.4
Alan Espinoza
2013 · AAA
22 44 44→55 52→45 40 .216/.267/.333 .117.301 1112 31% 6% 64 -0.8 .230/.279/.352 .122.283 138 23% 5% 75 -0.0 .255/.294/.411.157.28819319%4%94+0.7
Jeremiah Jackson
2023 · AA
23 38→48 50→55 48→55 41 .200/.261/.356 .156.274 1812 33% 7% 69 -0.4 .216/.264/.378 .162.287 2115 32% 6% 76 +0.0 .228/.269/.395.167.290221529%5%79+0.2
Sherten Apostel
2021 · MLB
22 38→32 46→50 46→40 42 .195/.263/.322 .127.277 154 34% 8% 61 -1.0 .203/.264/.333 .130.328 144 40% 7% 64 -0.8 .191/.253/.324.132.30316040%6%54-0.7
Rodolfo Castro
2022 · MLB
23 37→42 53→55 45→50 36 .206/.249/.375 .169.268 227 32% 5% 69 -0.4 .216/.278/.374 .158.286 208 31% 7% 81 +0.4 .207/.276/.361.154.269191130%7%74-0.1
Clint Frazier
2017 · AAA
22 45→46 46→55 49→50 41 .222/.281/.356 .133.310 1310 32% 7% 77 +0.1 .231/.288/.396 .165.302 1710 28% 7% 90 +1.0 .237/.308/.417.181.30120627%8%101+0.9
Tom Murphy
2014 · AA
23 40→35 50→65 43→45 38 .208/.269/.365 .156.292 186 34% 6% 75 -0.0 .209/.263/.380 .171.291 215 35% 6% 76 +0.1 .244/.316/.459.215.30830230%9%117+1.2
Michael Chavis
2018 · AA
22 38→47 52→60 46→45 36 .207/.252/.373 .165.272 214 32% 4% 69 -0.4 .235/.290/.418 .183.313 245 32% 6% 97 +1.5 .239/.300/.427.188.32326533%7%99+0.7
Aaron Luna
2010 · AA
23 40→43 50 49→45 46 .207/.313/.367 .160.264 178 27% 8% 95 +1.4 .222/.323/.370 .148.277 167 25% 8% 100 +1.7 .221/.326/.364.144.27417624%9%97+1.0
Isan Díaz
2019 · AAA
23 39→40 46→55 48→45 43 .198/.269/.330 .132.286 1410 34% 8% 66 -0.6 .209/.280/.354 .145.285 177 31% 8% 76 +0.1 .204/.284/.367.164.26321530%9%75+0.0
Zack Gelof
2023 · AAA
23 44→50 53→55 52→55 42 .227/.289/.396 .169.319 2213 35% 8% 91 +1.1 .230/.295/.400 .170.324 2123 33% 8% 95 +1.4 .222/.291/.389.167.310212734%8%88+0.7
Jake Rogers
2019 · AA
24 38→40 47→55 48→45 41 .196/.261/.330 .133.269 159 32% 7% 62 -0.9 .203/.278/.366 .163.280 206 33% 8% 79 +0.3 .206/.283/.412.206.26529133%8%91+0.6
Jorge Alfaro
2015 · AA
22 41→51 47→50 48→50 33 .208/.259/.345 .136.300 148 35% 4% 65 -0.7 .219/.263/.345 .126.320 135 35% 4% 66 -0.6 .259/.315/.406.147.38019635%5%97+0.8
Dillon Dingler
2022 · AA
23 40→50 48→55 50→45 35 .205/.265/.340 .135.298 165 36% 5% 67 -0.5 .206/.274/.362 .156.303 195 37% 7% 76 +0.1 .237/.296/.409.172.30122428%6%94+0.9
Joey Bart
2020 · AA
23 43 52→50 45→40 38 .228/.270/.393 .165.288 217 29% 5% 82 +0.5 .229/.283/.369 .140.329 165 34% 5% 81 +0.4 .234/.323/.349.115.32013128%9%90+0.6
Ivan Jimenez
2015 · AAA
22 44 44→40 52→55 35 .212/.255/.327 .115.320 1111 36% 5% 58 -1.2 .235/.280/.323 .088.314 713 26% 5% 66 -0.6 .272/.336/.356.084.34621820%7%93+0.5