Jose Dickson — OGILVIE

Jose DicksonSS FCL Tigers

Age 19 R/R 6'2" / 158 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION52 act + 11 ros · stats below = ROS only

showingROS

wRC+†51

AVG/OBP/SLG.100 / .182 / .100

PA11

HR0

K%27

BB%9

BABIP255

ISO81

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 25 / POW 25

Toolsscout grade

CONTACT25

scouting grade only

POWER25

scouting grade only

EYE45

scouting grade only

SPEED50

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	+0.1	$0.3M	+$0.0M (cut)
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	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$2M	—	—	—
2037	Arb-3	$1M	—	—	—
Totals		$2M		$1M	+$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 Tigers 1	—	172	139	38	8	3	0	26	27	6	18	4	273	409	374	783	101	336	16	15	361	130	+6	+2	—	—	+4	1.2
2025	18	ROK	FCL Tigers	—	171	148	31	4	1	3	20	42	1	9	2	209	308	311	619	101	267	25	12	284	78	-4	+1	—	—	+4	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tigers 1	—	172	149	30	6	2	0	16	39	6	18	4	201	304	268	573	67	263	23	9	257	60	-8	+2	—	—	+4	-0.2
2025	18	ROK MLE	FCL Tigers	—	171	156	24	3	1	2	12	60	1	9	2	154	219	224	443	71	222	35	7	204	24	-15	+1	—	—	+4	-1.1
2024	17	ROK MLE	DSL Tigers 1	—	172	149	30	6	2	0	16	39	6	18	4	201	304	268	573	67	270	23	9	257	60	—	—	—	—	—	—
2024	17	ROK RAW	DSL Tigers 1	—	172	139	38	8	3	0	26	27	6	18	4	273	409	374	783	101	336	16	15	361	60	—	—	—	—	—	—
2025	18	ROK MLE	FCL Tigers	—	171	156	24	3	1	2	12	60	1	9	2	154	219	224	443	71	229	35	7	204	24	—	—	—	—	—	—
2025	18	ROK RAW	FCL Tigers	—	171	148	31	4	1	3	20	42	1	9	2	209	308	311	619	101	267	25	12	284	24	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 1	—	172	148	30	6	2	0	16	39	6	18	4	203	304	270	574	68	263	23	9	257	60	—	—	—	—	—	—
2025	18	ROK MLE	FCL Tigers	—	171	156	24	3	1	2	12	60	1	9	2	154	219	224	443	71	222	35	7	204	24	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Tigers 1	—	172	148	30	6	2	0	16	39	6	18	4	203	304	270	574	68	263	23	9	257	60	—	—	—	—	—	—
2025	18	ROK MLE	FCL Tigers	—	171	156	24	3	1	2	12	60	1	9	2	154	219	224	443	71	222	35	7	204	24	—	—	—	—	—	—
YTD	19	ROK MLE	DET	—	52	45	5	3	0	1	7	26	0	5	2	111	231	244	475	133	222	50	13	211	29	-4	+0	+0	+1	+1	-0.3
▸ 2026 season
YTD	19	ROK RAW	DET	—	52	41	8	5	0	1	11	18	0	5	2	195	365	390	756	195	318	35	21	346	29	—	—	—	—	—	—
ROS	19	ROK MLE	DET	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		259	27	9	244	51	-1	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	DET	—	63	55	6	3	0	1	8	29	0	5	2	109	222	218	440	109	200	46	13	217	33	-5	+0	+0	+1	+1	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	DET	34%	227	204	39	8	1	3	19	64	2	5	1	191	267	284	551	93	265	28	8	257	60	-11	+1	+0	+2	+5	-0.3
2028	21	MLB MLE	DET	48%	354	317	64	13	2	6	30	98	4	7	2	202	279	312	592	110	268	28	8	267	67	-14	+1	+0	+4	+8	-0.2
2029	22	MLB MLE	DET	54%	445	400	83	17	3	8	37	121	5	9	2	207	283	325	608	118	270	27	8	273	71	-15	+1	+0	+5	+10	0.0
2030	23	MLB MLE	DET	57%	505	451	94	19	3	10	43	136	6	10	3	208	286	330	616	122	272	27	9	277	74	-16	+1	+0	+5	+11	0.1
2031	24	MLB MLE	DET	57%	545	488	103	21	3	11	46	146	6	11	3	211	287	334	621	123	272	27	8	279	75	-16	+1	+0	+6	+12	0.2
2032	25	MLB MLE	DET	57%	568	508	106	22	3	11	48	152	7	11	3	209	286	329	615	120	272	27	8	280	75	-17	+1	+0	+6	+12	0.3
2033	26	MLB MLE	DET	56%	580	518	109	22	3	12	50	155	7	11	3	210	289	334	623	124	272	27	9	280	76	-17	+1	+0	+6	+13	0.3
2034	27	MLB MLE	DET	55%	583	520	109	22	3	12	51	156	7	11	3	210	289	333	622	123	272	27	9	280	76	-17	+1	+0	+6	+13	0.3
2035	28	MLB MLE	DET	55%	580	517	107	22	3	11	51	156	7	11	3	207	287	325	612	118	272	27	9	279	75	-17	+1	-1	+6	+13	0.2
2036	29	MLB MLE	DET	58%	571	509	105	21	3	11	50	155	7	10	3	206	286	324	610	118	271	27	9	278	74	-18	+1	-1	+6	+12	0.0
2037	30	MLB MLE	DET	60%	561	501	102	21	3	10	49	154	6	10	2	204	282	317	600	114	270	27	9	275	72	-18	+1	-2	+6	+12	-0.1
2027	20	MLB CTX	DET	34%	78	71	13	3	0	1	6	22	1	2	0	183	256	268	524	85	261	28	8	246	60	-4	+0	+0	+1	+2	-0.1
2028	21	MLB CTX	DET	48%	172	154	31	6	1	3	14	47	2	3	1	201	276	312	588	110	264	27	8	255	67	-7	+0	+0	+2	+4	-0.1
2029	22	MLB CTX	DET	54%	241	216	43	9	1	4	20	65	3	5	1	199	276	306	582	106	266	27	8	261	71	-8	+1	+0	+3	+5	0.0
2030	23	MLB CTX	DET	57%	286	257	52	10	2	5	24	77	3	6	1	202	278	315	593	113	267	27	8	264	74	-9	+1	+0	+3	+6	0.1
2031	24	MLB CTX	DET	57%	308	275	57	11	2	6	26	83	4	6	2	207	285	327	613	120	268	27	8	266	75	-9	+0	+0	+3	+7	0.1
2032	25	MLB CTX	DET	57%	321	287	59	12	2	6	27	86	4	6	2	206	283	324	607	118	268	27	8	267	75	-9	+0	+0	+3	+7	0.1
2033	26	MLB CTX	DET	56%	328	293	60	12	2	6	28	88	4	6	2	205	283	321	604	116	268	27	9	267	76	-10	+0	+0	+4	+7	0.2
2034	27	MLB CTX	DET	55%	323	288	59	12	2	6	28	87	4	6	2	205	284	323	607	118	268	27	9	267	76	-9	+0	+0	+3	+7	0.2
2035	28	MLB CTX	DET	55%	318	283	59	12	2	6	28	86	4	6	2	208	289	329	618	120	267	27	9	266	75	-9	+0	-0	+3	+7	0.1
2036	29	MLB CTX	DET	58%	332	296	60	12	2	6	29	90	4	6	2	203	283	318	600	115	267	27	9	265	74	-10	+0	-1	+4	+7	0.0
2037	30	MLB CTX	DET	60%	338	301	61	12	2	6	30	93	4	6	1	203	284	316	599	113	266	28	9	262	72	-11	+1	-1	+4	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3045	2721	554	111	18	55	260	824	37	58	16	204	282	318	600	115	268	27	9	264	71	-96	+5	-2	+33	+66	0.5
/ 162G	—	A+C		—	650	581	119	24	4	12	56	176	8	12	3	205	284	322	606	117	270	27	9	264	71	-20	+1	-1	+7	+14	0.1
Career	—	MLE		—	5873	5248	1076	217	33	107	503	1595	71	133	34	205	283	320	604	115	271	27	9	274	71	-176	+10	-4	+59	+120	0.9
/ 162G	—	MLE		—	650	581	120	24	4	12	56	177	8	15	4	207	286	324	609	117	273	27	9	274	71	-21	+1	-0	+7	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.8	3,188	59	60	208	282	325	+34	+21	2.6	2.5
/162	664	12	13	+7.1	+4.4	0.5	pk7: 2
#5Ryan 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
#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
Jose Dickson (OGILVIE)	19	25	25	50	45	184/258/269	85	259	1	4	29%	8%	51	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Robedluis Fuentes 2008 · A	19	41	37→30	53→45	45	197/263/267	70	262	4	12	25%	7%	53	-2.1	230/290/284	54	281	3	7	18%	6%	65	-1.2	243/302/283	40	290	2	5	16%	6%	68	-0.4
✕Victor Tademo 2018 · A	19	39	37→40	52→55	37	189/240/263	74	277	4	14	32%	5%	42	-2.9	195/241/256	61	285	3	7	31%	5%	40	-3.0	181/217/201	20	252	0	3	27%	4%	17	-1.4
✕Alfredo González 2011 · A	19	41	36→30	48→45	43	193/257/263	71	277	3	9	30%	7%	49	-2.4	184/230/252	68	247	3	9	26%	5%	36	-3.4	224/284/281	57	304	4	8	26%	7%	60	-0.5
✕Janelfry Zorrilla 2010 · A	19	38	38→45	51→50	38	189/234/265	77	255	6	13	28%	4%	40	-3.0	216/275/340	124	268	12	12	23%	6%	74	-0.6	220/275/339	119	277	13	9	24%	5%	72	-0.3
✕Jesus Castillo 2022 · A	19	42→41	34→30	51→50	42	199/262/249	50	277	2	16	28%	6%	47	-2.5	210/309/255	45	289	1	19	25%	11%	68	-1.0	195/321/224	30	275	1	24	25%	14%	65	-0.5
✕Jose Colmenares 2021 · A	19	39	39→45	47→50	45	192/256/277	84	251	7	8	26%	7%	52	-2.2	210/290/338	128	295	14	8	31%	9%	79	-0.2	177/254/299	122	259	13	14	35%	8%	55	-0.8
✕Rather Trujillo 2008 · A	19	39	34→30	51→50	46	180/269/232	51	236	2	15	22%	7%	48	-2.5	215/304/283	68	261	3	14	17%	8%	72	-0.7	223/314/293	70	263	2	14	14%	8%	76	-0.2
✕Juan Mosquera 2007 · A	19	38	35→30	49→55	44	180/246/238	57	263	3	15	31%	8%	38	-3.2	201/290/246	45	281	1	14	26%	10%	58	-1.7	210/308/237	27	280	0	17	22%	11%	61	-0.5
✕Jose Cordoba 2022 · A	19	40	40	46→55	38	195/253/280	85	273	7	8	30%	5%	51	-2.2	200/258/297	97	283	8	10	31%	6%	57	-1.8	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Ricardo Rosario 2022 · A	19	41	37→40	53→55	43	195/256/271	76	260	4	13	25%	6%	50	-2.3	197/266/280	83	273	6	17	28%	7%	56	-1.9	189/268/272	83	254	9	24	27%	8%	54	-0.8
✕Marco Guzman 2014 · A	19	39	36→45	44→50	48	185/262/256	71	249	3	8	25%	9%	50	-2.3	207/264/294	87	251	5	7	19%	7%	58	-1.7	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Kleiber Rodriguez 2018 · A	19	37	35→30	46→40	46	175/250/234	59	244	2	5	27%	8%	40	-3.0	219/280/288	69	282	3	5	21%	7%	63	-1.4	240/298/301	61	284	2	4	15%	8%	71	-0.4
✕Gilbert Gomez 2011 · A	19	40→37	37→40	54→50	44	191/258/270	80	263	4	18	28%	7%	51	-2.2	202/266/283	81	296	5	9	31%	7%	57	-1.8	194/265/261	67	295	4	7	33%	8%	48	-1.4
✕Marco Hernandez 2017 · A	19	40	35→40	47→45	44	186/240/247	61	227	2	8	19%	5%	38	-3.2	215/284/290	75	253	4	7	16%	6%	65	-1.2	204/289/278	74	244	6	4	18%	8%	64	-0.4
✕Jose Sanabria 2022 · A	19	39	36→30	44→50	42	183/260/245	62	273	3	10	32%	7%	47	-2.5	202/275/260	58	305	3	10	31%	8%	55	-1.9	194/267/240	47	293	2	11	32%	9%	46	-1.2
✕Gerardo Reyes 2010 · A	19	41	35→30	50→55	43	194/239/257	63	238	3	11	20%	5%	40	-3.1	214/271/267	53	260	1	17	17%	5%	55	-2.0	229/292/270	41	272	0	24	15%	5%	61	-0.5
✕Christian Cerda 2022 · A	19	40→37	38→45	47→40	48	188/271/271	82	247	4	8	24%	8%	57	-1.8	195/289/294	99	262	9	6	26%	11%	70	-0.9	183/285/276	93	245	10	4	27%	12%	63	-0.8
✕Daniel Santos 2018 · A	19	37	36→45	46→40	43	178/255/242	64	250	3	6	28%	7%	45	-2.7	197/260/282	85	284	6	6	31%	6%	55	-2.0	186/247/273	87	269	7	4	31%	6%	47	-0.7
✕Adonis Paula 2013 · A	19	37	37→40	48→40	35	180/236/252	72	281	4	8	36%	5%	38	-3.2	196/258/274	78	286	4	5	31%	6%	52	-2.2	178/237/252	75	274	4	2	34%	6%	37	-1.1

Career Stats + Projections

Career Comps

Career Path Comps