Samuel Rojas — OGILVIE

Samuel RojasC FCL Tigers

Age 23 R/R 5'10" / 190 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 52 proj PA

wRC+†65

AVG/OBP/SLG.206 / .283 / .286

PA4

HR0

K%27

BB%8

ISO81

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · Contract

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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.7M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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	18	ROK	DSL Tigers	—	82	73	16	3	0	0	6	14	3	0	0	219	305	260	565	41	271	17	7	268	68	-3	+0	—	—	+2	-0.1
2022	19	ROK	DSL Tigers 1	—	128	110	28	10	0	1	10	28	6	0	1	255	349	373	722	118	325	22	8	326	107	+1	-0	—	—	+3	0.3
2023	20	ROK	DSL Tigers 2	—	91	71	17	5	0	0	12	13	4	1	1	239	379	310	689	70	274	14	13	314	99	-0	-0	—	—	+2	0.2
2024	21	ROK	FCL Tigers	—	76	56	8	1	0	1	17	13	2	1	1	143	360	214	574	71	163	17	22	291	83	-2	-0	—	—	+2	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Tigers	—	82	75	11	2	0	0	4	20	3	0	0	147	220	173	393	27	196	24	5	176	5	-9	+0	—	—	+2	-0.8
2022	19	ROK MLE	DSL Tigers 1	—	128	114	19	6	0	1	6	41	6	0	1	167	246	246	492	79	235	32	5	216	32	-10	-0	—	—	+3	-0.8
2023	20	ROK MLE	DSL Tigers 2	—	91	76	13	3	0	0	7	19	4	1	1	171	276	211	486	39	207	21	8	235	45	-6	-0	—	—	+2	-0.4
2024	21	ROK MLE	FCL Tigers	—	76	63	7	1	0	1	10	19	2	1	1	111	253	175	428	63	132	25	13	205	25	-7	-0	—	—	+2	-0.5
2021	18	ROK MLE	DSL Tigers	—	82	75	11	2	0	0	4	20	3	0	0	147	220	173	393	27	200	24	5	176	5	—	—	—	—	—	—
2021	18	ROK RAW	DSL Tigers	—	82	73	16	3	0	0	6	14	3	0	0	219	305	260	565	41	271	17	7	268	5	—	—	—	—	—	—
2022	19	ROK MLE	DSL Tigers 1	—	128	114	19	6	0	1	6	41	6	0	1	167	246	246	492	79	243	32	5	216	32	—	—	—	—	—	—
2022	19	ROK RAW	DSL Tigers 1	—	128	110	28	10	0	1	10	28	6	0	1	255	349	373	722	118	325	22	8	326	32	—	—	—	—	—	—
2023	20	ROK MLE	DSL Tigers 2	—	91	76	13	3	0	0	7	19	4	1	1	171	276	211	486	39	213	21	8	235	45	—	—	—	—	—	—
2023	20	ROK RAW	DSL Tigers 2	—	91	71	17	5	0	0	12	13	4	1	1	239	379	310	689	70	274	14	13	314	45	—	—	—	—	—	—
2024	21	ROK MLE	FCL Tigers	—	76	63	7	1	0	1	10	19	2	1	1	111	253	175	428	63	136	25	13	205	25	—	—	—	—	—	—
2024	21	ROK RAW	FCL Tigers	—	76	56	8	1	0	1	17	13	2	1	1	143	360	214	574	71	163	17	22	291	25	—	—	—	—	—	—
2021	18	ROK MLE	DSL Tigers	—	82	75	11	2	0	0	4	20	3	0	0	147	220	173	393	27	196	24	5	176	5	—	—	—	—	—	—
2022	19	ROK MLE	DSL Tigers 1	—	128	115	19	6	0	1	6	41	6	0	1	165	246	243	490	78	235	32	5	216	32	—	—	—	—	—	—
2023	20	ROK MLE	DSL Tigers 2	—	91	80	13	3	0	0	7	19	4	1	1	163	276	200	476	38	207	21	8	235	45	—	—	—	—	—	—
2024	21	ROK MLE	FCL Tigers	—	76	64	7	1	0	1	10	19	2	1	1	109	253	172	425	62	132	25	13	205	25	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	DSL Tigers 2	—	91	80	13	3	0	0	7	19	4	1	1	163	276	200	476	38	207	21	8	235	45	—	—	—	—	—	—
2024	21	ROK MLE	FCL Tigers	—	76	64	7	1	0	1	10	19	2	1	1	109	253	172	425	62	132	25	13	205	25	—	—	—	—	—	—
▸ 2026 season
2026	23	MLB MLE	DET	0%	4	4	1	0	0	0	0	1	0	0	0	250	250	250	500		286	25	0	264	65	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	DET	30%	105	93	21	4	1	1	9	28	2	1	0	226	308	323	630	97	288	27	9	273	71	-4	+0	+0	+2	+2	0.1
2028	25	MLB MLE	DET	44%	222	199	43	8	1	3	18	59	3	2	1	216	291	312	602	95	288	27	8	279	75	-7	+0	+0	+4	+5	0.2
2029	26	MLB MLE	DET	51%	305	273	60	11	2	5	25	80	4	3	1	220	295	330	624	110	288	26	8	283	78	-8	+0	+0	+5	+7	0.4
2030	27	MLB MLE	DET	52%	353	315	70	13	2	6	30	93	5	4	1	222	300	333	633	111	288	26	8	284	79	-9	+0	+0	+6	+8	0.5
2031	28	MLB MLE	DET	53%	382	341	75	14	2	6	33	101	5	4	1	220	298	326	624	106	288	26	9	283	78	-10	+0	-1	+7	+8	0.5
2032	29	MLB MLE	DET	53%	392	350	76	14	2	6	34	104	5	4	1	217	296	320	616	103	287	27	9	281	77	-11	+0	-1	+7	+8	0.4
2033	30	MLB MLE	DET	52%	396	354	76	14	2	6	34	106	5	3	1	215	293	316	609	102	285	27	9	279	75	-12	+0	-2	+7	+9	0.2
2034	31	MLB MLE	DET	52%	378	337	72	13	2	6	33	102	5	3	1	214	293	318	611	104	283	27	9	274	72	-13	+0	-3	+7	+8	-0.0
2027	24	MLB CTX	DET	30%	32	29	5	1	0	0	3	9	0	0	0	172	250	207	457	34	283	28	9	259	71	-1	+0	+0	+1	+1	0.0
2028	25	MLB CTX	DET	44%	98	89	18	3	1	1	8	26	1	1	0	202	276	292	568	90	284	27	8	265	75	-3	+0	+0	+2	+2	0.1
2029	26	MLB CTX	DET	51%	155	139	29	5	1	2	13	41	2	2	1	209	286	302	588	94	284	26	8	269	78	-4	+0	+0	+3	+3	0.2
2030	27	MLB CTX	DET	52%	185	164	35	6	1	3	16	48	3	2	1	213	295	317	612	104	283	26	9	270	79	-5	+0	+0	+3	+4	0.3
2031	28	MLB CTX	DET	53%	204	182	39	7	1	3	17	54	3	2	1	214	292	313	605	99	283	26	8	269	78	-5	+0	-0	+4	+4	0.2
2032	29	MLB CTX	DET	53%	206	183	39	7	1	3	18	55	3	2	1	213	294	311	606	98	282	27	9	267	77	-6	+0	-1	+4	+4	0.2
2033	30	MLB CTX	DET	52%	206	183	39	7	1	3	18	55	3	2	1	213	294	311	606	98	281	27	9	264	75	-6	+0	-1	+4	+4	0.1
2034	31	MLB CTX	DET	52%	196	174	36	6	1	3	17	53	3	1	0	207	289	305	593	98	278	27	9	260	72	-7	+0	-1	+4	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1282	1143	240	42	7	18	110	341	18	12	5	210	290	306	596	96	281	27	9	266	70	-37	+0	-4	+23	+28	1.1
/ 162G	—	A+C		—	650	580	122	21	4	9	56	173	9	6	3	210	290	307	597	97	282	27	9	266	70	-19	+0	-2	+12	+14	0.6
Career	—	MLE		—	2914	2594	544	103	14	41	243	773	49	26	10	210	290	308	597	98	279	27	8	271	70	-73	+2	-7	+45	+55	2.3
/ 162G	—	MLE		—	650	579	121	23	3	9	54	172	11	6	2	209	289	306	595	97	278	26	8	271	70	-19	+1	-2	+12	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.0	1,333	21	13	217	292	321	+24	+20	2.2	2.2
/162	664	10	6	+11.9	+10.0	1.1	pk7: 2
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 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	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
Samuel Rojas (OGILVIE)	23	—	—	—	—	206/283/286	80	286	0	1	27%	8%	65	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Yoel Romero 2021 · A	23	43	38→40	46→50	45	206/268/286	80	275	6	9	26%	7%	58	-1.7	216/267/308	92	323	7	4	33%	6%	62	-1.4	212/260/299	87	317	7	0	34%	5%	55	-0.8
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	42	206/280/300	94	283	7	6	28%	6%	67	-1.1	205/276/339	134	277	16	4	31%	6%	74	-0.5	180/260/332	152	234	22	0	33%	7%	72	-0.3
✕Andy Paz 2016 · A	23	38	37→40	48→45	42	186/248/255	69	274	5	6	32%	8%	43	-2.8	230/279/295	65	301	4	7	23%	6%	63	-1.3	246/291/294	49	312	2	7	21%	6%	64	-0.4
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Deibinson Romero 2010 · A	23	41→45	40→50	46→40	43	200/264/290	90	277	7	5	29%	7%	58	-1.7	209/275/318	109	276	11	3	27%	7%	69	-0.9	223/296/348	126	274	12	2	22%	8%	81	-0.0
✕Andrew Navigato 2021 · A	23	43→40	37→55	46→50	41	200/271/278	77	298	4	6	32%	7%	58	-1.7	211/275/343	132	274	14	12	27%	6%	74	-0.5	214/273/383	169	262	19	17	26%	6%	81	-0.1
✕Nick Fortes 2021 · A	24	40→44	39→45	46→45	46	196/260/283	87	248	6	5	23%	7%	55	-2.0	222/288/345	123	257	14	8	19%	6%	80	-0.2	219/286/341	122	248	15	8	18%	6%	76	-0.2
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Vito Friscia 2021 · A	24	43	40→45	49→40	42	208/266/303	94	290	7	5	30%	7%	61	-1.5	209/292/323	114	317	11	4	34%	10%	76	-0.4	198/289/313	115	298	12	2	34%	10%	72	-0.4
✕Jose Cordova 2023 · A	23	43	36→40	49→50	38	203/256/271	67	296	3	8	31%	5%	50	-2.3	213/270/290	77	305	4	9	29%	6%	59	-1.6	229/290/316	87	306	5	11	25%	7%	70	-0.4
✕Ben Gobbel 2023 · A	23	42→41	36→45	47→50	41	197/257/265	68	280	4	7	30%	6%	49	-2.4	211/269/323	112	288	12	13	30%	6%	68	-1.0	212/261/335	123	271	15	11	27%	4%	64	-0.9
✕Riley Adams 2019 · A	23	44→42	39→50	49→40	44	205/284/297	92	310	5	5	33%	8%	68	-1.0	211/300/341	130	322	13	5	35%	8%	84	+0.2	209/297/371	162	301	16	0	33%	8%	88	+0.2
✕Larry Cobb 2008 · A	23	40→43	39→45	47→50	49	193/267/275	82	244	7	10	23%	8%	56	-1.9	210/273/324	114	268	12	11	25%	6%	69	-0.9	206/269/325	118	259	13	11	25%	6%	68	-0.5
✕Javier Valdes 2021 · A	22	40	37→50	50→30	45	190/266/263	73	266	4	7	28%	8%	53	-2.1	211/295/322	111	281	11	5	27%	8%	78	-0.3	208/306/343	135	260	16	3	25%	9%	85	+0.1
✕Robert Mullen 2019 · A	23	44	39→50	50→45	43	209/266/301	92	290	6	6	29%	7%	61	-1.5	219/265/342	123	304	14	4	32%	4%	70	-0.8	212/252/342	130	286	17	0	32%	3%	64	-0.6
✕Jose Sibrian 2022 · A	23	41	36→50	48→30	37	195/240/258	63	274	3	5	29%	4%	41	-3.0	209/269/304	95	272	8	3	25%	5%	63	-1.4	211/275/320	108	261	11	0	23%	5%	66	-0.5
✕Coty Blanchard 2015 · A	23	41	36→40	48→45	47	192/261/260	67	258	2	6	25%	8%	50	-2.3	227/277/301	74	309	3	7	26%	6%	64	-1.3	246/290/315	69	329	2	7	24%	5%	70	-0.4
✕Jorge Saez 2014 · A	23	38	39→45	49→30	43	188/248/271	83	255	7	6	28%	7%	47	-2.5	196/263/293	97	280	8	3	31%	8%	58	-1.7	207/270/340	133	282	19	3	33%	7%	70	-0.3
✕Shane Zeile 2016 · A	23	40	38→50	48→40	41	192/245/272	80	264	5	4	28%	6%	46	-2.6	208/256/314	106	282	8	6	28%	5%	59	-1.6	202/246/338	136	263	9	3	26%	4%	60	-0.6

Career Stats + Projections

Career Comps

Career Path Comps