Jaset Martinez — OGILVIE

Jaset MartinezOF DSL Reds

Age 19 L/L 5'10" / 170 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 114 proj PA

wRC+†76

AVG/OBP/SLG.211 / .293 / .317

PA10

HR0

K%27

BB%9

ISO108

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 48 / POW 42

Toolsscout grade

CONTACT48

scouting grade only

POWER42

scouting grade only

EYE66

scouting grade only

SPEED49

scouting grade only

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	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2037	Arb-3	$1M	—	—	—
Totals		$3M		$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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2024	17	ROK	DSL Rojos	—	173	138	36	11	3	2	30	25	4	2	0	261	407	428	835	167	304	14	17	376	141	+8	+0	—	—	+4	1.3
2025	18	ROK	DSL Reds	—	137	104	31	9	0	3	31	29	1	1	1	298	463	471	934	173	384	21	23	419	169	+11	-0	—	—	+3	1.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Rojos	—	173	151	29	8	2	2	17	37	4	2	0	192	291	311	602	119	232	21	10	264	65	-7	+0	—	—	+4	-0.3
2025	18	ROK MLE	DSL Reds	—	137	117	23	6	0	2	18	42	1	1	1	197	309	299	608	103	281	31	13	284	78	-4	-0	—	—	+3	-0.1
2024	17	ROK MLE	DSL Rojos	—	173	151	29	8	2	2	17	37	4	2	0	192	291	311	602	119	239	21	10	264	65	—	—	—	—	—	—
2024	17	ROK RAW	DSL Rojos	—	173	138	36	11	3	2	30	25	4	2	0	261	407	428	835	167	304	14	17	376	65	—	—	—	—	—	—
2025	18	ROK MLE	DSL Reds	—	137	117	23	6	0	2	18	42	1	1	1	197	309	299	608	103	284	31	13	284	78	—	—	—	—	—	—
2025	18	ROK RAW	DSL Reds	—	137	104	31	9	0	3	31	29	1	1	1	298	463	471	934	173	384	21	23	419	78	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rojos	—	173	150	29	8	2	2	17	37	4	2	0	193	291	313	604	120	232	21	10	264	65	—	—	—	—	—	—
2025	18	ROK MLE	DSL Reds	—	137	117	23	6	0	2	18	42	1	1	1	197	309	299	608	103	281	31	13	284	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Rojos	—	173	150	29	8	2	2	17	37	4	2	0	193	291	313	604	120	232	21	10	264	65	—	—	—	—	—	—
2025	18	ROK MLE	DSL Reds	—	137	117	23	6	0	2	18	42	1	1	1	197	309	299	608	103	281	31	13	284	78	—	—	—	—	—	—
▸ 2026 season
2026	19	MLB MLE	CIN	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		285	30	10	280	76	-0	+0	+0	-0	+0	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	CIN	34%	202	179	38	8	1	3	19	53	2	3	1	212	295	318	613	106	287	26	9	289	82	-4	+0	+0	-1	+4	-0.1
2028	21	MLB MLE	CIN	48%	334	296	65	13	2	6	31	86	4	6	2	220	302	338	640	118	289	26	9	295	86	-6	+0	+0	-2	+7	0.0
2029	22	MLB MLE	CIN	54%	431	382	86	17	3	9	41	110	5	8	3	225	308	356	664	131	290	26	10	299	89	-6	+0	+0	-3	+9	0.1
2030	23	MLB MLE	CIN	57%	494	438	99	20	3	10	47	125	6	9	3	226	310	354	663	128	290	25	10	302	90	-6	+1	+0	-3	+11	0.3
2031	24	MLB MLE	CIN	57%	536	473	109	21	4	12	51	135	7	10	3	230	315	368	682	137	291	25	10	303	91	-6	+1	+0	-3	+12	0.4
2032	25	MLB MLE	CIN	57%	561	496	113	22	4	12	53	141	7	10	3	228	311	361	672	133	291	25	9	304	92	-5	+1	+0	-3	+12	0.4
2033	26	MLB MLE	CIN	56%	574	507	117	23	4	13	55	144	7	11	3	231	315	369	683	138	291	25	10	304	92	-6	+1	+0	-3	+12	0.5
2034	27	MLB MLE	CIN	55%	577	509	117	23	4	13	56	145	7	11	3	230	315	367	682	138	291	25	10	304	92	-6	+1	+0	-3	+13	0.5
2035	28	MLB MLE	CIN	55%	575	507	115	23	4	12	56	145	7	10	3	227	312	359	671	132	290	25	10	303	91	-6	+1	-1	-3	+12	0.3
2036	29	MLB MLE	CIN	58%	567	500	113	22	4	12	55	145	7	10	3	226	311	358	669	132	289	26	10	301	90	-7	+1	-1	-3	+12	0.2
2037	30	MLB MLE	CIN	60%	557	490	108	21	3	11	55	143	7	9	3	220	308	343	651	122	288	26	10	298	88	-8	+1	-2	-3	+12	-0.1
2027	20	MLB CTX	CIN	34%	69	62	13	3	0	1	6	18	1	1	0	210	290	306	596	97	290	26	9	285	82	-1	+0	+0	-0	+1	-0.0
2028	21	MLB CTX	CIN	48%	162	144	32	6	1	3	15	42	2	3	1	222	304	340	645	118	292	26	9	291	86	-3	+0	+0	-1	+4	0.0
2029	22	MLB CTX	CIN	54%	234	207	47	9	2	5	22	59	3	4	1	227	310	362	673	135	293	25	9	295	89	-3	+0	+0	-1	+5	0.1
2030	23	MLB CTX	CIN	57%	280	249	57	11	2	6	26	71	3	5	2	229	309	361	671	133	294	25	9	298	90	-3	+0	+0	-2	+6	0.1
2031	24	MLB CTX	CIN	57%	303	267	62	12	2	7	29	76	4	6	2	232	317	371	687	139	294	25	10	299	91	-3	+0	+0	-2	+7	0.2
2032	25	MLB CTX	CIN	57%	317	280	65	13	2	7	30	80	4	6	2	232	315	368	683	136	295	25	9	300	92	-3	+0	+0	-2	+7	0.2
2033	26	MLB CTX	CIN	56%	324	286	67	13	2	8	31	81	4	6	2	234	318	378	695	143	294	25	10	300	92	-3	+0	+0	-2	+7	0.2
2034	27	MLB CTX	CIN	55%	320	282	66	13	2	8	31	80	4	6	2	234	319	379	698	145	294	25	10	300	92	-3	+0	+0	-2	+7	0.2
2035	28	MLB CTX	CIN	55%	316	278	64	13	2	7	31	80	4	6	2	230	316	367	683	137	294	25	10	299	91	-3	+0	-0	-2	+7	0.2
2036	29	MLB CTX	CIN	58%	329	290	66	13	2	7	32	84	4	6	2	228	313	359	672	131	293	26	10	297	90	-4	+0	-1	-2	+7	0.1
2037	30	MLB CTX	CIN	60%	336	296	67	13	2	7	33	86	4	6	2	226	312	355	667	128	291	26	10	295	88	-5	+0	-1	-2	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2990	2641	606	119	19	66	286	757	37	55	18	229	313	364	677	134	294	25	10	298	89	-35	+4	-2	-18	+65	1.4
/ 162G	—	A+C		—	650	574	131	26	4	14	62	165	8	12	4	228	312	361	673	132	293	25	10	298	89	-8	+1	-1	-4	+14	0.3
Career	—	MLE		—	5728	5054	1133	227	38	117	555	1454	71	100	31	224	310	354	663	129	289	25	10	300	89	-64	+7	-4	-33	+117	2.4
/ 162G	—	MLE		—	650	574	128	26	4	13	63	165	8	11	4	223	309	350	659	127	288	25	10	300	89	-8	+1	-1	-4	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.7	3,103	65	55	227	308	358	-19	+0	3.3	3.0
/162	664	14	12	-4.0	+0.0	0.7	pk7: 3

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
Jaset Martinez (OGILVIE)	19	43→48	37→42	44→49	66	211/293/317	107	285	2	2	27%	9%	76	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Akil Baddoo 2018 · A	19	46→53	42→50	52→55	49	219/296/333	114	288	7	10	25%	9%	80	-0.2	198/270/312	114	300	8	13	34%	9%	65	-1.2	236/319/383	147	308	15	24	26%	11%	96	+0.7
✕Alek Thomas 2019 · A	19	50→54	38→50	51→50	44	238/283/324	87	297	4	10	21%	6%	72	-0.7	243/298/367	124	326	10	10	27%	7%	87	+0.4	246/302/387	142	310	12	11	24%	7%	91	+0.6
✕Tirso Ornelas 2019 · A	19	43→53	41→50	50→45	45	207/274/304	97	288	8	5	30%	8%	65	-1.2	190/254/267	77	278	5	5	31%	8%	49	-2.4	249/307/375	126	306	13	7	22%	7%	91	+0.6
✕Daniel Montesino 2023 · A	19	49	40→45	48→45	46	222/303/321	99	333	6	8	32%	9%	80	-0.2	201/267/274	73	313	3	9	34%	7%	55	-2.0	174/233/224	49	287	0	8	36%	6%	28	-1.1
✕Canaan Smith-Njigba 2019 · A	20	45→50	41→45	46→55	51	216/301/314	97	294	9	7	28%	10%	77	-0.3	232/302/345	113	325	10	11	29%	9%	84	+0.2	233/308/347	114	330	9	15	29%	10%	84	+0.1
✕Iverson Leonardo 2021 · A	19	45	40→50	47→50	44	211/284/318	107	303	5	9	30%	8%	72	-0.7	189/267/301	112	298	10	8	37%	8%	62	-1.4	154/246/261	107	253	10	8	40%	8%	44	-0.7
✕Hector Osorio 2023 · A	18	47	37→45	47→50	48	219/301/296	77	303	4	8	27%	9%	74	-0.6	214/320/283	69	272	4	14	20%	11%	78	-0.3	222/318/349	127	252	16	10	19%	9%	90	+0.3
✕Hendry Mendez 2023 · A	19	46→56	38→45	42→45	50	219/292/294	75	276	6	6	22%	8%	69	-0.9	234/299/322	88	290	6	5	20%	8%	78	-0.3	258/330/364	106	310	10	6	19%	9%	97	+0.8
✕Yeicok Calderon 2011 · A	19	48	43→45	49→45	47	231/304/342	111	311	10	7	27%	9%	84	+0.2	193/248/315	122	304	13	6	38%	6%	57	-1.8	180/228/298	118	286	14	3	41%	6%	44	-0.9
✕Ricardo Burgos 2006 · A	19	44	39→45	48→40	47	206/285/289	84	301	7	9	32%	10%	66	-1.1	213/297/328	115	300	10	5	30%	10%	79	-0.2	203/296/332	129	278	12	3	29%	11%	78	-0.1
✕Forrest Wall 2015 · A	19	48→55	41→45	56→70	47	227/290/330	103	300	7	17	26%	8%	76	-0.4	222/274/319	97	291	7	16	25%	6%	68	-1.0	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Ramón Flores 2012 · A	20	45→55	40→45	50	46	218/274/310	92	277	7	8	24%	7%	65	-1.2	233/289/332	99	292	7	10	21%	7%	76	-0.4	248/322/344	96	296	8	8	18%	9%	88	+0.3
✕Randel Alcantara 2016 · A	19	44	41→45	46→45	43	211/283/321	110	282	7	6	26%	6%	73	-0.6	197/255/304	107	263	9	6	27%	5%	58	-1.7	132/175/242	109	157	14	3	27%	3%	12	-1.3
✕Enmanuel Terrero 2022 · A	19	43	36→45	46→55	53	200/285/268	68	260	3	9	23%	10%	61	-1.5	217/295/305	88	312	7	14	30%	10%	73	-0.6	206/286/298	92	317	9	17	35%	10%	65	-0.5
●Evan Carter 2022 · A	19	46→53	42→50	52→55	55	216/324/330	114	293	8	18	27%	12%	91	+0.6	237/321/380	143	308	13	20	25%	10%	100	+1.3	237/324/389	152	306	14	21	25%	10%	100	+0.9
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Jose Quero 2017 · A	18	51	37→40	47→30	52	241/320/316	75	301	5	4	20%	9%	84	+0.2	195/254/285	90	254	9	3	26%	7%	53	-2.1	174/217/283	109	214	14	2	26%	5%	39	-0.9
✕Jesus Morelli 2009 · A	19	49	42→45	48→50	49	234/311/346	112	300	9	12	24%	8%	88	+0.5	220/282/290	70	304	4	10	27%	6%	64	-1.3	219/279/260	41	287	0	14	22%	6%	53	-0.5
✕Matthew Sulentic 2007 · A	19	45→55	40→45	45→50	45	215/275/308	93	278	7	7	25%	7%	65	-1.2	218/265/311	93	294	7	9	27%	5%	62	-1.4	252/299/344	92	354	6	13	29%	6%	79	-0.1
✕Carlos Rodriguez 2022 · A	19	39	41→45	46→45	48	183/286/282	99	291	8	6	36%	11%	66	-1.1	184/261/262	78	291	6	6	35%	9%	51	-2.3	177/255/266	89	258	8	2	32%	9%	47	-1.0

Career Stats + Projections

Career Comps

Career Path Comps