Anderdson Rojas

2B Reno Aces

Age 23 L/R 5'10" / 150 lbs AAA HR -11% Svc 0.0 · Ctrl thru 2034

Overview

AAAPROSPECTMiLBFA 2035

OGV OFP35OGV rank#2434ETA2029MLB%10%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	AARI	446	.246/.320/.354	5	34	63	—	.222/.281/.316
2025	21	A+ARI	474	.232/.311/.300	1	19	51	—	.218/.274/.279
2026	22	AAA/AAARI	536	.263/.331/.349	6	21	75	—	.267/.317/.342
2027PROJ10% MLB	23	MLBARI	21	.229/.280/.304	0	1	60	-0.0
2028PROJ35% MLB	24	MLBARI	166	.233/.286/.322	2	5	67	-0.2
2029PROJ46% MLB	25	MLBARI	239	.236/.290/.334	3	7	72	-0.1

Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$0.4M2033Arb-2$0.4M2034Ext$7M

Skills · percentileMiLB Statcast 2026 AAA

Whiff%85

Z-Con%76

K%71

Speed63

Max EV62

BB%26

Career WAR0.0 WAR median (P10 -0.1 / P90 8.1, comp-based) · star 4% · didn't stick 70%

CompsSergio Burruel (age 23) · Jordan Cowan (age 23) · Símon Muzziotti (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†60

AVG/OBP/SLG.229 / .280 / .304

PA21

HR0

K%19

BB%5

BABIP284

ISO50

MLB%10%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 45 / POW 25

Toolsscout grade

CONTACT45

scouting grade only

POWER25

scouting grade only

EYE40

scouting grade only

SPEED50

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.8M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Arb-1	$0.4M	—	—	—
2033	Arb-2	$0.4M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-2M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2021	17	ROK	DSL D-backs 1	—	168	148	31	3	2	1	13	33	6	10	4	209	299	277	576	68	261	20	8	269	7	—	—	—	—	—	—
2022	18	ROK	ACL D-backs Red	—	168	155	48	9	4	1	8	22	3	9	4	310	355	439	794	129	351	13	5	349	63	—	—	—	—	—	—
2023	19	A	Visalia Rawhide	—	419	393	98	20	6	2	13	69	8	12	5	249	287	346	633	97	295	16	3	281	45	—	—	—	—	—	—
2024	20	A	Visalia Rawhide	—	446	395	97	16	6	5	37	74	6	34	9	246	320	354	674	109	286	17	8	301	63	—	—	—	—	—	—
2025	21	A+	Hillsboro Hops	—	474	413	96	19	3	1	47	76	0	19	8	232	311	300	611	68	278	16	10	275	51	—	—	—	—	—	—
2026	22	AAA	Reno Aces	—	465	408	107	16	2	5	34	81	3	15	5	262	324	348	672	86	316	17	7	293	73	—	—	—	—	—	—
2026	22	AA	Amarillo Sod Poodles	—	71	59	16	2	0	1	9	15	1	6	1	271	377	356	733	85	349	21	13	330	88	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL D-backs 1	—	168	152	21	2	1	1	9	40	6	10	4	138	216	184	400	46	179	24	5	179	7	—	—	—	—	—	—
2022	18	ROK MLE	ACL D-backs Red	—	168	158	38	7	3	1	5	32	3	9	4	241	277	342	619	101	283	19	3	261	63	—	—	—	—	—	—
2023	19	A MLE	Visalia Rawhide	—	419	396	85	16	6	2	10	92	8	12	5	215	249	301	549	86	267	22	2	235	45	—	—	—	—	—	—
2024	20	A MLE	Visalia Rawhide	—	446	405	90	14	6	4	27	100	6	34	9	222	281	316	597	94	273	22	6	261	63	—	—	—	—	—	—
2025	21	A+ MLE	Hillsboro Hops	—	474	427	93	19	2	1	33	102	0	19	8	218	274	279	553	61	268	22	7	244	51	—	—	—	—	—	—
2026	22	AAA MLE	Reno Aces	—	465	417	111	15	2	4	25	97	3	15	5	266	312	341	653	74	317	21	5	276	73	—	—	—	—	—	—
2026	22	AA MLE	Amarillo Sod Poodles	—	71	62	17	2	0	1	6	18	1	6	1	274	348	355	703	81	346	25	8	298	88	—	—	—	—	—	—
2021	17	ROK MLE	DSL D-backs 1	—	168	152	21	2	1	1	9	40	6	10	4	138	216	184	400	46	179	24	5	179	7	—	—	—	—	—	—
2021	17	ROK RAW	DSL D-backs 1	—	168	148	31	3	2	1	13	33	6	10	4	209	299	277	576	68	261	20	8	269	7	—	—	—	—	—	—
2022	18	ROK MLE	ACL D-backs Red	—	168	158	38	7	3	1	5	32	3	9	4	241	277	342	619	101	291	19	3	261	63	—	—	—	—	—	—
2022	18	ROK RAW	ACL D-backs Red	—	168	155	48	9	4	1	8	22	3	9	4	310	355	439	794	129	351	13	5	349	63	—	—	—	—	—	—
2023	19	A MLE	Visalia Rawhide	—	419	396	85	16	6	2	10	92	8	12	5	215	249	301	549	86	272	22	2	235	45	—	—	—	—	—	—
2023	19	A RAW	Visalia Rawhide	—	419	393	98	20	6	2	13	69	8	12	5	249	287	346	633	97	295	16	3	281	45	—	—	—	—	—	—
2024	20	A MLE	Visalia Rawhide	—	446	405	90	14	6	4	27	100	6	34	9	222	281	316	597	94	280	22	6	261	63	—	—	—	—	—	—
2024	20	A RAW	Visalia Rawhide	—	446	395	97	16	6	5	37	74	6	34	9	246	320	354	674	109	286	17	8	301	63	—	—	—	—	—	—
2025	21	A+ MLE	Hillsboro Hops	—	474	427	93	19	2	1	33	102	0	19	8	218	274	279	553	61	279	22	7	244	51	—	—	—	—	—	—
2025	21	A+ RAW	Hillsboro Hops	—	474	413	96	19	3	1	47	76	0	19	8	232	311	300	611	68	278	16	10	275	51	—	—	—	—	—	—
2026	22	AAA MLE	2 teams	—	536	480	127	17	2	5	30	116	4	21	6	265	313	340	653	75	339	22	6	279	75	—	—	—	—	—	—
2026	22	AAA RAW	2 teams	—	536	467	123	18	2	6	43	96	4	21	6	263	331	349	680	86	320	18	8	298	75	—	—	—	—	—	—
2021	17	ROK MLE	DSL D-backs 1	—	168	151	21	2	1	1	9	40	6	10	4	139	216	185	401	46	179	24	5	179	7	—	—	—	—	—	—
2022	18	ROK MLE	ACL D-backs Red	—	168	158	38	7	3	1	5	32	3	9	4	241	277	342	619	101	283	19	3	261	63	—	—	—	—	—	—
2023	19	A MLE	Visalia Rawhide	—	419	398	85	16	6	2	10	92	8	12	5	214	249	299	548	85	267	22	2	235	45	—	—	—	—	—	—
2024	20	A MLE	Visalia Rawhide	—	446	410	90	14	6	4	27	100	6	34	9	220	281	312	593	93	273	22	6	261	63	—	—	—	—	—	—
2025	21	A+ MLE	Hillsboro Hops	—	474	438	93	19	2	1	33	102	0	19	8	212	274	272	546	59	268	22	7	244	51	—	—	—	—	—	—
2026	22	AAA MLE	2 teams	—	536	497	127	17	2	5	30	116	4	21	6	256	313	328	641	72	321	22	6	279	75	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	A MLE	Visalia Rawhide	—	446	410	90	14	6	4	27	100	6	34	9	220	281	312	593	93	273	22	6	261	63	—	—	—	—	—	—
2025	21	A+ MLE	Hillsboro Hops	—	474	438	93	19	2	1	33	102	0	19	8	212	274	272	546	59	268	22	7	244	51	—	—	—	—	—	—
2026	22	AAA MLE	2 teams	—	536	497	127	17	2	5	30	116	4	21	6	256	313	328	641	72	321	22	6	279	75	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	ARI	10%	612	566	127	20	3	5	37	126	4	18	5	223	274	292	567	70	276	21	6	257	60	-29	+2	+0	+2	+13	-0.3
▸ 2027 — real world (MLB)
2027	23	MLB CTX	ARI	10%	21	20	4	1	0	0	1	4	0	1	0	229	280	304	584	75	284	19	5	264	60	-1	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	ARI	35%	479	443	101	16	2	6	30	98	3	14	4	228	281	312	592	84	277	20	6	268	67	-19	+1	+0	+2	+10	-0.5
2029	25	MLB MLE	ARI	46%	516	475	109	18	2	7	33	105	3	15	5	230	285	324	609	94	278	20	6	275	72	-17	+1	+0	+2	+11	-0.3
2030	26	MLB MLE	ARI	52%	537	493	114	18	2	9	35	110	4	15	5	232	288	331	619	100	279	20	7	279	75	-16	+1	+0	+2	+12	-0.2
2031	27	MLB MLE	ARI	53%	545	500	116	19	2	9	36	113	4	15	5	231	288	332	621	101	279	21	7	279	75	-16	+1	+0	+2	+12	-0.1
2032	28	MLB MLE	ARI	54%	545	499	115	19	2	9	37	115	4	13	4	230	288	332	619	101	279	21	7	279	75	-16	+1	-1	+2	+12	-0.2
2033	29	MLB MLE	ARI	53%	536	492	111	18	2	8	36	114	3	10	4	228	285	325	610	98	277	21	7	275	72	-18	+0	-1	+2	+12	-0.5
2028	24	MLB CTX	ARI	35%	166	154	36	6	1	2	10	34	1	5	1	233	286	322	609	89	286	20	6	274	67	-6	+1	+0	+1	+4	-0.2
2029	25	MLB CTX	ARI	46%	239	220	51	9	1	3	15	49	2	7	2	236	290	334	625	98	287	21	6	281	72	-8	+1	+0	+1	+5	-0.1
2030	26	MLB CTX	ARI	52%	278	256	61	11	2	4	18	57	2	8	2	237	293	341	634	104	287	21	6	285	75	-8	+1	+0	+1	+6	-0.1
2031	27	MLB CTX	ARI	53%	289	266	64	11	2	5	19	60	2	8	2	237	293	342	636	105	287	21	7	285	75	-9	+1	+0	+1	+6	-0.0
2032	28	MLB CTX	ARI	54%	292	268	64	11	2	5	20	61	2	7	2	236	293	341	634	105	287	21	7	285	75	-9	+1	-0	+1	+6	-0.1
2033	29	MLB CTX	ARI	53%	282	259	60	11	1	4	19	60	2	5	2	233	290	335	625	101	286	21	7	281	72	-9	+0	-1	+1	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1546	1423	336	59	9	23	101	321	11	40	11	236	292	339	631	103	288	21	7	283	66	-49	+4	-1	+6	+33	-0.8
/ 162G	—	A+C		—	650	598	142	25	4	10	42	135	5	17	5	237	293	343	636	105	289	21	6	283	66	-21	+2	-0	+2	+14	-0.3
Career	—	MLE		—	5579	5114	1164	190	33	64	334	1180	49	193	65	228	281	315	597	88	282	21	6	265	66	-112	+6	-2	+12	+73	-2.3
/ 162G	—	MLE		—	650	596	135	22	4	7	39	137	6	22	8	227	281	312	593	86	281	21	6	265	66	-22	+1	-0	+2	+14	-0.5

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAAReno Aces · 465 PAwOBA .286 → .276 (−10)K% 17.4% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.42%	÷1.000	×1.200	—	—	20.90%
BB% (unintentional) /PA	7.31%	÷1.000	×0.690	—	×1.050	5.30%
HBP% /PA	0.65%	—	×0.940	—	×1.050	0.64%
Singles /BIP	25.69%	÷1.000	×0.930	×1.050	×1.050	26.34%
Doubles /BIP	4.89%	÷1.000	×0.830	×1.050	×1.050	4.48%
Triples /BIP	0.61%	÷1.000	×0.970	×1.050	×1.050	0.65%
Home runs /BIP	1.53%	÷1.000	×0.700	—	×1.050	1.12%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .286 → .276; ISO .086 → .076; BABIP .316 → .317. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 AAAmarillo Sod Poodles · 71 PAwOBA .317 → .298 (−19)K% 21.1% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.13%	÷1.000	×1.220	—	—	25.77%
BB% (unintentional) /PA	11.27%	÷1.000	×0.700	—	×1.042	8.22%
HBP% /PA	1.41%	—	×0.870	—	×1.042	1.28%
Singles /BIP	29.55%	÷1.000	×0.920	×1.050	×1.042	29.74%
Doubles /BIP	4.55%	÷1.000	×0.840	×1.050	×1.042	4.18%
Triples /BIP	0.00%	÷1.000	×0.940	×1.050	×1.042	0.00%
Home runs /BIP	2.27%	÷1.000	×0.800	—	×1.042	1.89%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .317 → .298; ISO .085 → .077; BABIP .349 → .346. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 A+Hillsboro Hops · 474 PAwOBA .271 → .244 (−28)K% 16.0% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.03%	÷1.002	×1.350	—	—	21.60%
BB% (unintentional) /PA	9.92%	÷1.044	×0.710	—	×1.027	6.93%
HBP% /PA	0.00%	—	×0.810	—	×1.027	0.00%
Singles /BIP	21.66%	÷1.012	×0.910	×1.050	×1.027	20.99%
Doubles /BIP	5.64%	÷0.908	×0.830	×1.050	×1.027	5.56%
Triples /BIP	0.89%	÷1.150	×0.820	×1.050	×1.027	0.68%
Home runs /BIP	0.30%	÷0.968	×0.830	—	×1.027	0.26%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 102, 2B 82, 3B 130, K 100, BB 109 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .271 → .244; ISO .068 → .063; BABIP .278 → .268. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 AVisalia Rawhide · 446 PAwOBA .297 → .261 (−36)K% 16.6% → 22.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.59%	÷1.009	×1.360	—	—	22.36%
BB% (unintentional) /PA	8.30%	÷0.980	×0.690	—	×1.030	6.02%
HBP% /PA	1.35%	—	×0.780	—	×1.030	1.08%
Singles /BIP	21.81%	÷1.010	×0.920	×1.030	×1.030	21.09%
Doubles /BIP	4.98%	÷0.964	×0.830	×1.030	×1.030	4.56%
Triples /BIP	1.87%	÷0.965	×0.910	×1.030	×1.030	1.87%
Home runs /BIP	1.56%	÷1.102	×0.800	—	×1.030	1.16%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 102, 2B 93, 3B 93, K 102, BB 96 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .297 → .261; ISO .109 → .094; BABIP .286 → .273. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AVisalia Rawhide · 419 PAwOBA .276 → .235 (−40)K% 16.5% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.47%	÷1.019	×1.360	—	—	21.97%
BB% (unintentional) /PA	3.10%	÷0.987	×0.690	—	×1.045	2.27%
HBP% /PA	1.91%	—	×0.780	—	×1.045	1.56%
Singles /BIP	21.60%	÷1.060	×0.920	×1.001	×1.045	19.62%
Doubles /BIP	6.17%	÷1.029	×0.830	×1.001	×1.045	5.21%
Triples /BIP	1.85%	÷0.900	×0.910	×1.001	×1.045	1.96%
Home runs /BIP	0.62%	÷1.003	×0.800	—	×1.045	0.51%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 112, 2B 106, 3B 80, K 104, BB 97 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .276 → .235; ISO .097 → .084; BABIP .295 → .267. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 ROKACL D-backs Red · 168 PAwOBA .344 → .261 (−83)K% 13.1% → 18.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.10%	÷0.996	×1.440	—	—	18.93%
BB% (unintentional) /PA	4.76%	÷0.969	×0.620	—	×1.022	3.11%
HBP% /PA	1.79%	—	×0.720	—	×1.022	1.31%
Singles /BIP	25.56%	÷0.996	×0.820	×0.988	×1.022	21.25%
Doubles /BIP	6.77%	÷0.974	×0.720	×0.988	×1.022	5.05%
Triples /BIP	3.01%	÷0.964	×0.720	×0.988	×1.022	2.27%
Home runs /BIP	0.75%	÷1.119	×0.780	—	×1.022	0.54%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 99, 2B 95, 3B 93, K 99, BB 94 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .344 → .261; ISO .129 → .093; BABIP .351 → .283. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 DSLDSL D-backs 1 · 168 PAwOBA .265 → .179 (−85)K% 19.6% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.64%	÷0.995	×1.220	—	—	24.09%
BB% (unintentional) /PA	7.74%	÷1.041	×0.700	—	×1.022	5.32%
HBP% /PA	3.57%	—	×0.700	—	×1.022	2.56%
Singles /BIP	21.74%	÷0.996	×0.680	×0.998	×1.022	15.15%
Doubles /BIP	2.61%	÷0.967	×0.600	×0.998	×1.022	1.65%
Triples /BIP	1.74%	÷0.911	×0.600	×0.998	×1.022	1.17%
Home runs /BIP	0.87%	÷0.936	×0.470	—	×1.022	0.45%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 99, 2B 93, 3B 82, K 99, BB 108 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .265 → .179; ISO .068 → .041; BABIP .261 → .179. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#2Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3
#3Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
#4Desi Relaford'96-'07 * career totals — 8 seasons, 3,347 PA	5.0	3,347	40	81	234*	308*	336*	+18	-13	0.2	1.3
/162	664	8	16	+3.7	-2.6	0.0	pk7: 2
#5Carlos Febles'98-'03 * career totals — 5 seasons, 1,892 PA	2.8	1,892	24	68	239*	316*	342*	+6	-4	0.5	0.5
/162	664	8	24	+2.2	-1.5	0.2	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.4	1,567	24	40	231	284	328	+6	+3	0.1	0.2
/162	664	10	17	+2.4	+1.3	0.0	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Anderdson Rojas (OGILVIE)	23	45	25	50	40	221/272/290	69	276	2	6	21%	6%	60	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sergio Burruel 2014 · AAA	23	45	36→30	50→30	44	212/270/278	67	290	3	8	27%	7%	57	-1.8	243/291/312	69	318	5	5	24%	6%	72	-0.7	247/310/316	70	302	6	1	19%	7%	78	-0.1
✕Jordan Cowan 2018 · AA	23	50→51	36→30	48→50	45	235/286/299	64	303	4	11	23%	6%	67	-1.1	234/289/290	56	303	3	12	22%	7%	66	-1.1	235/296/291	56	302	4	17	22%	7%	66	-0.6
✕Símon Muzziotti 2022 · AAA	23	49→57	37→40	49→55	47	231/282/306	75	281	4	14	19%	6%	67	-1.1	241/292/345	104	299	8	18	21%	7%	80	-0.2	242/291/342	100	299	8	20	21%	6%	76	-0.2
✕Terence Doston 2024 · AA	23	46	36→30	52→55	42	219/276/281	62	295	4	20	26%	6%	59	-1.6	213/271/286	73	275	5	17	23%	7%	59	-1.7	189/251/225	35	236	3	24	20%	7%	36	-0.8
✕Emmanuel Garcia 2009 · AA	23	50→51	36→30	51→55	45	232/287/294	61	310	3	19	25%	7%	66	-1.1	223/268/288	65	309	4	19	27%	6%	57	-1.8	220/262/275	55	306	3	21	28%	5%	50	-1.5
✕Tzu-Wei Lin 2017 · AA	23	47→51	36→45	50	46	222/266/289	67	267	3	13	18%	6%	57	-1.8	236/286/336	100	301	7	11	22%	7%	76	-0.4	241/294/348	107	314	8	10	24%	7%	78	-0.1
✕Raynel Delgado 2023 · AA	23	42→52	40	49→60	44	204/275/294	90	285	7	15	29%	7%	63	-1.4	234/300/330	96	324	8	23	28%	8%	80	-0.1	246/311/338	92	338	7	32	27%	8%	82	+0.0
✕Jose Augusto Figueroa 2016 · AAA	23	45	38→40	51→45	38	214/259/293	79	303	5	15	30%	5%	55	-1.9	241/275/331	90	341	5	8	29%	4%	70	-0.8	261/289/353	92	366	4	5	29%	3%	77	-0.1
✕Darren Baker 2023 · AA	24	52→58	37→30	49→60	44	245/289/320	75	312	4	12	22%	6%	72	-0.7	253/302/313	60	329	2	25	22%	7%	76	-0.4	258/312/308	50	335	1	32	22%	7%	75	-0.4
✕Braxton Lee 2017 · AA	23	48→58	33→30	46→50	45	224/270/270	46	279	1	16	20%	6%	54	-2.0	238/291/301	63	311	3	13	22%	7%	69	-0.9	242/298/305	63	321	2	12	24%	7%	71	-0.6
✕Cam Coursey 2022 · A	23	44	38→40	52→55	48	208/273/289	81	264	5	16	22%	8%	60	-1.6	214/296/293	79	279	4	10	23%	10%	70	-0.8	207/308/266	60	270	2	4	21%	12%	69	-0.4
✕Jose Bernardo Lopez 2012 · AAA	22	49	37→30	45→50	42	235/273/304	68	293	5	15	21%	5%	63	-1.4	260/294/317	57	315	3	10	17%	4%	73	-0.6	280/319/333	53	338	1	12	17%	5%	83	+0.0
✕Magneuris Sierra 2019 · MLB	23	50→58	36→40	50→60	39	237/266/304	67	306	3	17	23%	4%	59	-1.6	233/268/314	81	297	4	25	22%	4%	63	-1.3	231/275/306	76	302	5	32	24%	5%	63	-0.6
✕Danny Woodrow 2018 · A	23	48→58	34→30	51→55	44	225/277/281	57	300	1	17	24%	7%	59	-1.6	251/301/317	66	334	3	21	24%	6%	76	-0.4	254/301/314	60	340	2	23	25%	6%	73	-0.3
✕Pin-Chieh Chen 2014 · AA	23	48→51	36→40	54→55	49	224/287/290	67	280	3	19	20%	8%	65	-1.2	227/287/309	82	279	3	15	19%	7%	70	-0.8	227/288/313	85	276	3	14	18%	7%	68	-0.6
✕Beau Amaral 2015 · AA	24	49→51	38→40	53→55	43	232/276/319	86	286	4	19	20%	5%	68	-1.0	223/269/302	79	289	6	11	24%	5%	61	-1.5	215/265/283	68	279	4	9	23%	5%	54	-1.1
✕Collin Burns 2024 · AA	24	44	39→45	55	42	214/269/299	85	280	6	17	25%	6%	61	-1.5	205/262/287	82	281	6	16	28%	6%	56	-1.9	192/249/262	70	263	5	18	27%	5%	42	-1.8
✕Pedro Ogando 2017 · A	23	45	36→30	53→60	41	213/251/278	65	268	3	20	21%	4%	49	-2.4	199/256/264	65	245	3	16	19%	6%	48	-2.5	167/237/209	42	195	0	26	13%	7%	28	-1.1
✕Stephen Gaylor 2017 · AA	25	48	34→30	49→55	43	225/276/274	49	292	2	18	23%	6%	57	-1.8	216/268/284	68	288	4	15	25%	6%	57	-1.8	202/252/252	49	269	0	18	23%	5%	40	-0.9
✕Mason Williams 2015 · AA	23	48→53	39→45	49→55	47	228/274/316	88	267	6	14	17%	6%	66	-1.1	252/291/327	75	303	3	16	17%	5%	75	-0.5	247/291/368	121	302	13	7	22%	6%	82	+0.0

Anderdson Rojas

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps