Freider Rojas — OGILVIE

Freider RojasC ACL Brewers

Age 20 S/R 5'8" / 155 lbs ROK BB +10%HR +7% Svc 0.0 · Ctrl thru 2037 peak 2.7 · 2033

wRC+†61

AVG/OBP/SLG.206 / .275 / .302

PA57

HR1

K%29

BB%8

MLB%0%

trajectory · 10 yrs

2.7peak

2033

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+2.6	$25M	+$24M
2033	Pre-Arb	$1.0M	+2.7	$27M	+$26M
2034	Pre-Arb	$1.0M	+2.6	$26M	+$25M
2035	Arb-1	$5M	+2.3	$24M	+$19M
2036	Arb-2	$7M	+2.1	$23M	+$16M
2037	Arb-3	$8M	+1.7	$19M	+$10M
Totals		$23M		$143M	+$121M

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.

Year	Age	Lvl	Team	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
2023	17	ROK	DSL Brewers 2	68	61	9	1	1	0	7	13	0	1	1	.148	.235	.197	.432	.049	.188	19	10	.194	7	-7	-0	+0	+1	+2	-0.4
2024	18	ROK	DSL Brewers 1	89	73	10	1	1	0	16	25	0	5	1	.137	.292	.178	.470	.041	.208	28	18	.229	33	-7	+1	+0	+2	+3	-0.2
2025	19	ROK	ACL Brewers	52	48	6	1	1	0	4	24	0	0	0	.125	.192	.188	.380	.062	.250	46	8	.163	-17	-7	+0	+0	+1	+1	-0.5
▸ 2026 Season
2026	20	MLB	MIL	57	53	11	2	0	1	4	17	0	1	0	.208	.263	.302	.565	.094	.288	30	7	.264	61	-3	+0	+0	+1	+2	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	MIL	145	131	29	5	1	3	12	40	1	3	1	.221	.292	.344	.635	.122	.291	28	8	.287	78	-4	+0	+0	+3	+4	0.3
2028	22	MLB 28%	MIL	283	253	57	10	2	7	25	76	3	6	1	.225	.302	.364	.666	.138	.293	27	9	.299	87	-4	+1	+0	+5	+8	1.0
2029	23	MLB 48%	MIL	380	338	79	14	3	10	35	100	4	8	2	.234	.313	.382	.695	.148	.293	26	9	.308	94	-3	+1	+0	+7	+11	1.6
2030	24	MLB 62%	MIL	446	396	93	16	3	13	42	115	5	9	2	.235	.316	.389	.705	.154	.294	26	9	.313	98	-1	+1	+0	+8	+13	2.1
2031	25	MLB 80%	MIL	484	429	100	17	3	14	47	124	5	10	2	.233	.316	.385	.701	.152	.295	26	10	.316	100	+0	+1	+0	+9	+14	2.4
2032	26	MLB 94%	MIL	507	447	105	18	3	15	50	130	5	10	2	.235	.319	.389	.708	.154	.295	26	10	.318	102	+1	+1	+0	+9	+14	2.6
2033	27	MLB	MIL	516	455	107	19	3	15	51	133	5	10	2	.235	.319	.389	.708	.154	.295	26	10	.318	102	+1	+1	+0	+9	+15	2.7
2034	28	MLB	MIL	518	456	106	18	3	15	52	134	5	9	1	.232	.318	.384	.702	.151	.295	26	10	.317	101	+1	+1	-1	+9	+15	2.6
2035	29	MLB	MIL	512	450	105	18	3	15	52	134	5	8	1	.233	.320	.387	.706	.153	.294	26	10	.315	99	-0	+1	-1	+9	+15	2.3
2036	30	MLB	MIL	504	443	102	18	3	14	51	134	5	7	1	.230	.317	.379	.696	.149	.292	27	10	.312	97	-2	+1	-2	+9	+14	2.1
2037	31	MLB	MIL	477	421	95	16	3	13	48	129	5	5	0	.226	.312	.371	.683	.145	.291	27	10	.308	94	-3	+1	-3	+9	+14	1.7
2038	32	MLB	MIL	446	394	88	15	3	12	45	123	4	2	0	.223	.309	.368	.677	.145	.289	28	10	.303	90	-5	+0	-4	+8	+13	1.3
2039	33	MLB	MIL	405	357	78	13	2	10	41	114	4	1	0	.218	.306	.350	.656	.132	.288	28	10	.298	86	-6	+0	-4	+7	+11	0.9
2040	34	MLB	MIL	352	311	66	11	2	8	35	102	3	0	0	.212	.298	.338	.636	.125	.286	29	10	.291	81	-7	+0	-5	+6	+10	0.4
2041	35	MLB	MIL	294	260	55	9	2	7	29	88	3	0	0	.212	.298	.342	.640	.131	.284	30	10	.284	75	-8	+0	-6	+5	+8	-0.0
2042	36	MLB	MIL	236	209	42	7	1	5	23	73	2	0	0	.201	.286	.316	.602	.115	.281	31	10	.275	69	-8	+0	-6	+4	+7	-0.4
2043	37	MLB	MIL	177	157	31	5	1	3	17	57	1	0	0	.197	.280	.299	.579	.102	.277	32	10	.265	61	-8	+0	-7	+3	+5	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			6948	6142	1374	234	44	180	686	1885	65	95	17	.224	.308	.364	.672	.140	.290	27	10	.303	90	-81	+12	-38	+124	+197	21.8
/ 162G	—			650	575	129	22	4	17	64	176	6	9	2	.224	.309	.365	.674	.141	.291	27	10	.303	90	-8	+1	-4	+12	+18	2.0

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.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	BB	SO	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2023	17	ROK	DSL Brewers 2	68	57	11	1	1	11	9	1	1	.193	.324	.246	.569	.053	.229	13	16	.275	69	-2	-0	—	—	+2	-0.1
2024	18	ROK	DSL Brewers 1	89	63	12	1	1	26	17	5	1	.190	.427	.238	.665	.048	.261	19	29	.338	117	+2	+1	—	—	+3	0.5
2025	19	ROK	ACL Brewers	52	45	9	1	1	7	16	0	0	.200	.308	.267	.574	.067	.310	31	13	.271	66	-2	+0	—	—	+1	-0.1

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
Freider Rojas (OGILVIE)	20	—	—	—	—	.206/.275/.302	.096	.288	1	1	29%	8%	61	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Francisco Mejía 2016 · A	20	43→53	41→55	47→40	43	.211/.267/.303	.093	.260	9	5	23%	6%	56	-1.3	.250/.290/.373	.123	.301	13	4	21%	5%	85	+0.7	.258/.304/.423	.165	.305	16	1	21%	5%	101	+0.9
✕Juan Brito 2022 · A	20	45→48	42→50	49→45	46	.222/.285/.324	.103	.281	10	12	24%	7%	70	-0.3	.230/.313/.368	.138	.279	13	9	21%	10%	94	+1.3	.226/.311/.371	.145	.266	15	9	20%	10%	91	+1.0
●Derek Norris 2009 · A	20	40→50	42→55	49→50	43	.194/.269/.300	.106	.295	9	6	35%	9%	58	-1.2	.209/.301/.372	.163	.281	20	6	31%	11%	91	+1.1	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6
✕Carter Jensen 2023 · A	20	38→47	43→50	46→50	46	.188/.269/.299	.110	.273	10	7	33%	10%	58	-1.2	.198/.288/.331	.133	.275	13	9	30%	11%	74	-0.1	.206/.294/.357	.151	.275	17	10	30%	11%	81	+0.4
●Bo Naylor 2021 · A	21	41→43	44→55	50	43	.203/.259/.325	.122	.273	11	7	29%	7%	59	-1.1	.199/.278/.352	.153	.276	18	12	33%	9%	75	-0.0	.216/.308/.399	.183	.269	22	12	28%	11%	97	+1.2
●Adael Amador 2022 · A	19	45→54	41→50	45→55	47	.219/.281/.317	.098	.274	8	11	23%	8%	66	-0.6	.241/.317/.373	.132	.280	15	17	19%	9%	97	+1.5	.233/.312/.369	.136	.267	17	23	19%	9%	90	+0.8
✕Jose Lobatón 2006 · A	21	45	39→45	50→30	46	.215/.277/.302	.088	.284	6	8	25%	8%	60	-1.0	.215/.286/.335	.120	.300	12	3	30%	9%	73	-0.1	.241/.325/.370	.129	.305	12	0	23%	11%	94	+0.6
●Edgar Quero 2022 · A	19	44→54	43→50	48→40	45	.202/.300/.317	.115	.331	10	6	38%	10%	76	+0.1	.235/.325/.382	.147	.300	16	5	25%	10%	103	+1.9	.239/.326/.387	.148	.293	17	4	23%	9%	102	+1.4
✕Eddys Leonard 2021 · A	20	42→46	40→50	46→45	45	.200/.274/.295	.095	.288	7	9	31%	8%	59	-1.1	.227/.293/.378	.151	.302	17	5	29%	7%	89	+0.9	.224/.290/.376	.152	.290	17	4	28%	6%	83	+0.5
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Luis Torrens 2016 · A	20	42→49	38→55	49→30	44	.201/.271/.276	.075	.277	5	5	28%	7%	52	-1.6	.207/.270/.291	.084	.263	6	4	22%	7%	55	-1.4	.228/.285/.376	.148	.288	19	0	27%	7%	82	+0.3
●Chun-Hsiu Chen 2010 · A	21	43→53	41→50	48→45	40	.209/.263/.306	.097	.302	8	6	32%	7%	55	-1.4	.250/.309/.388	.138	.334	12	4	27%	7%	96	+1.5	.256/.318/.393	.137	.347	12	4	28%	8%	99	+1.3
✕Shawn Zarraga 2009 · A	20	48	40	50→45	49	.226/.306/.321	.095	.306	6	7	26%	9%	79	+0.3	.222/.295/.296	.074	.304	5	6	26%	8%	67	-0.5	.272/.340/.355	.083	.316	4	2	14%	7%	101	+0.6
✕Harold Garcia 2007 · A	20	45→55	39→45	46→55	46	.211/.303/.305	.094	.282	5	9	25%	8%	74	-0.1	.226/.293/.326	.100	.287	7	15	23%	5%	75	-0.0	.250/.302/.360	.110	.333	8	26	26%	4%	85	+0.4
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	45	.183/.271/.272	.089	.286	7	6	36%	10%	52	-1.6	.190/.265/.267	.077	.298	5	6	35%	9%	47	-1.9	.182/.268/.267	.085	.274	6	3	33%	10%	48	-0.6
✕Hoy Park 2016 · A	20	41→50	41→45	47→55	46	.198/.271/.297	.099	.267	8	10	28%	8%	57	-1.2	.198/.270/.283	.085	.271	5	16	27%	8%	53	-1.5	.229/.318/.327	.099	.300	9	17	24%	11%	81	+0.3
✕Josh Johnson 2006 · A	20	43→49	39→45	48→50	50	.204/.281/.297	.094	.268	5	9	25%	9%	61	-1.0	.218/.305/.288	.070	.282	4	10	21%	11%	69	-0.4	.247/.316/.352	.105	.295	9	16	18%	9%	86	+0.5
✕Thayron Liranzo 2022 · A	19	45→42	39→50	49→30	44	.211/.283/.297	.086	.313	6	8	32%	8%	63	-0.9	.211/.292/.376	.165	.306	19	4	35%	10%	88	+0.9	.202/.295/.383	.181	.283	22	1	34%	11%	86	+0.4
✕Kyle Higashioka 2010 · A	20	45→43	40→60	49→40	41	.215/.267/.304	.089	.290	7	7	28%	6%	56	-1.3	.191/.240/.293	.102	.234	10	3	23%	5%	43	-2.2	.229/.276/.416	.187	.272	25	4	26%	6%	88	+0.4
●Dilson Herrera 2014 · A	20	43→53	45→50	49→50	40	.213/.264/.339	.126	.281	12	11	28%	6%	65	-0.7	.248/.297/.383	.135	.313	14	13	24%	6%	90	+1.0	.257/.307/.397	.140	.313	15	13	22%	6%	94	+1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)