Jalen Hairston — OGILVIE

Jalen Hairston3B Daytona Tortugas

Age 22 L/R 6'2" / 195 lbs A HR +16%BB +6% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION283 act + 10 ros · stats below = ROS only

showingROS

wRC+†96

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP308

ISO124

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$23M ctrl surplus

Tools · ContractCON 36 / POW 46

Toolsscout grade

CONTACT36

scouting grade only

POWER46

scouting grade only

EYE58

scouting grade only

SPEED54

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Arb-1	$2M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$6M	+$3M

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)
2025	21	ROK	ACL Reds	—	124	112	24	4	0	2	10	30	1	7	0	214	282	304	586	89	275	24	8	269	68	-5	+1	—	—	+3	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	ROK MLE	ACL Reds	—	124	116	16	3	0	1	7	43	1	7	0	138	194	190	383	52	202	35	6	171	2	-14	+1	—	—	+3	-1.1
2025	21	ROK MLE	ACL Reds	—	124	116	16	3	0	1	7	43	1	7	0	138	194	190	383	52	208	35	6	171	2	—	—	—	—	—	—
2025	21	ROK RAW	ACL Reds	—	124	112	24	4	0	2	10	30	1	7	0	214	282	304	586	89	275	24	8	269	2	—	—	—	—	—	—
2025	21	ROK MLE	ACL Reds	—	124	115	16	3	0	1	7	43	1	7	0	139	194	191	385	52	202	35	6	171	2	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	ROK MLE	ACL Reds	—	124	115	16	3	0	1	7	43	1	7	0	139	194	191	385	52	202	35	6	171	2	—	—	—	—	—	—
YTD	22	A MLE	CIN	—	283	243	62	17	1	9	30	87	6	5	5	255	351	444	796	189	353	31	11	337	114	+5	-1	+0	+1	+6	1.1
▸ 2026 season
YTD	22	ROK RAW	CIN	—	39	33	10	0	0	4	5	9	1	0	2	303	410	667	1.077	364	300	23	13	461	114	—	—	—	—	—	—
YTD	22	A RAW	CIN	—	244	199	63	19	1	7	36	52	5	5	3	317	433	528	961	211	392	21	15	418	114	—	—	—	—	—	—
ROS	22	A MLE	CIN	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		304	30	10	310	96	-0	+0	+0	+0	+0	0.0
TOT	22	A MLE	CIN	—	293	252	63	17	1	9	31	90	6	5	5	250	346	433	779	183	346	31	11	336	114	+5	-1	+0	+1	+6	1.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	CIN	34%	284	251	57	13	1	7	27	79	4	5	2	227	312	371	683	143	300	28	10	310	96	-1	+0	+0	+1	+6	0.6
2028	24	MLB MLE	CIN	46%	370	327	77	17	2	10	35	101	5	7	3	235	319	391	710	156	300	27	9	313	98	-1	+0	+0	+1	+8	0.9
2029	25	MLB MLE	CIN	52%	414	366	85	19	2	11	39	111	6	8	4	232	316	385	702	153	300	27	9	314	99	-1	+0	+0	+1	+9	1.0
2030	26	MLB MLE	CIN	54%	442	391	91	20	2	12	42	118	6	9	4	233	317	386	703	153	299	27	10	315	99	-0	+0	+0	+2	+10	1.1
2031	27	MLB MLE	CIN	54%	450	398	92	20	2	12	43	121	6	9	4	231	315	382	697	151	299	27	10	315	99	-0	+0	+0	+2	+10	1.1
2032	28	MLB MLE	CIN	54%	453	400	92	20	2	12	44	122	6	9	4	230	316	380	696	150	299	27	10	314	98	-1	+0	-1	+2	+10	1.0
2033	29	MLB MLE	CIN	53%	446	394	91	20	2	12	43	121	6	9	4	231	316	383	699	152	297	27	10	312	97	-2	+0	-1	+2	+10	0.9
2034	30	MLB MLE	CIN	52%	439	387	88	19	2	11	43	120	6	8	4	227	314	372	686	145	296	27	10	309	95	-3	+0	-2	+2	+10	0.7
2035	31	MLB MLE	CIN	52%	426	376	84	18	1	11	41	118	6	8	3	223	310	364	674	141	293	28	10	305	92	-4	+0	-3	+2	+9	0.5
2036	32	MLB MLE	CIN	56%	409	362	79	17	1	10	39	115	5	7	3	218	303	354	657	135	289	28	10	299	88	-6	+0	-4	+1	+9	0.1
2037	33	MLB MLE	CIN	59%	380	336	72	15	1	9	36	109	5	6	3	214	300	345	645	131	285	29	9	291	83	-8	+0	-4	+1	+8	-0.2
2027	23	MLB CTX	CIN	34%	98	88	21	5	0	3	9	27	1	2	1	239	316	398	714	159	304	28	9	305	96	-1	+0	+0	+0	+2	0.2
2028	24	MLB CTX	CIN	46%	171	151	36	8	1	5	16	47	2	3	1	238	320	404	724	166	304	27	9	309	98	-0	+0	+0	+1	+4	0.4
2029	25	MLB CTX	CIN	52%	214	189	45	10	1	6	20	58	3	4	2	238	321	397	718	159	304	27	9	310	99	-0	+0	+0	+1	+5	0.5
2030	26	MLB CTX	CIN	54%	240	212	50	11	1	7	23	64	3	5	2	236	319	396	716	160	303	27	10	311	99	-0	+0	+0	+1	+5	0.6
2031	27	MLB CTX	CIN	54%	244	216	51	11	1	7	23	66	3	5	2	236	318	394	712	157	303	27	9	311	99	-0	+0	+0	+1	+5	0.6
2032	28	MLB CTX	CIN	54%	246	217	51	11	1	7	24	66	3	5	2	235	320	392	711	157	302	27	10	310	98	-0	+0	-0	+1	+5	0.6
2033	29	MLB CTX	CIN	53%	237	209	49	11	1	7	23	64	3	5	2	234	319	397	716	163	301	27	10	308	97	-1	+0	-1	+1	+5	0.5
2034	30	MLB CTX	CIN	52%	230	203	46	10	1	6	22	63	3	4	2	227	311	374	686	148	300	27	10	305	95	-1	+0	-1	+1	+5	0.3
2035	31	MLB CTX	CIN	52%	222	196	45	10	1	6	21	62	3	4	2	230	314	383	696	153	297	28	9	301	92	-2	+0	-1	+1	+5	0.2
2036	32	MLB CTX	CIN	56%	229	202	46	10	1	6	22	64	3	4	2	228	313	376	689	149	293	28	10	295	88	-3	+0	-2	+1	+5	0.1
2037	33	MLB CTX	CIN	59%	224	197	44	9	1	6	22	64	3	4	2	223	311	371	681	147	288	29	10	287	83	-4	+0	-2	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2355	2080	484	106	10	66	225	645	30	45	20	233	316	388	705	156	303	27	10	305	93	-14	+1	-8	+8	+51	3.9
/ 162G	—	A+C		—	650	574	133	29	3	18	62	178	8	12	6	232	315	387	702	155	302	27	10	305	93	-4	+0	-2	+2	+14	1.1
Career	—	MLE		—	4647	4113	925	201	18	118	440	1281	62	92	38	225	309	369	678	144	295	28	9	305	93	-26	+2	-15	+16	+98	7.7
/ 162G	—	MLE		—	650	575	130	28	3	17	62	179	9	13	5	226	312	374	686	148	296	28	10	305	93	-4	+0	-2	+2	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#2Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#3Gordon 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
#4Ian Stewartlast yr '14 career totals — 6 seasons, 1,646 PA	2.5	1,646	60	17	230	317	416	+6	+2	6.2	6.2
/162	664	24	7	+2.4	+0.9	2.5	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.8	2,523	65	48	228	309	374	+9	+4	6.0	5.3
/162	664	17	13	+2.4	+0.9	1.6	pk7: 5
#5Michael 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
#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

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
Jalen Hairston (OGILVIE)	22	31→36	41→46	49→54	58	226/311/373	147	304	4	3	28%	9%	96	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Darrien Miller 2023 · A	22	38→41	47→45	50→45	48	196/307/325	129	265	16	7	30%	10%	84	+0.2	187/296/284	97	258	8	5	29%	10%	71	-0.8	175/316/278	103	239	9	4	27%	12%	76	-0.2
✕Christopher Familia 2023 · A	23	40	46→55	47→45	45	203/281/331	128	258	14	8	26%	8%	74	-0.5	219/278/387	168	291	21	4	31%	6%	86	+0.3	217/271/408	191	280	27	0	32%	5%	84	+0.1
✕Jace Jung 2023 · A	22	44→42	39→50	50→40	50	208/292/300	92	296	6	7	29%	10%	71	-0.8	215/300/370	155	288	18	4	30%	10%	90	+0.6	208/298/364	156	272	18	3	29%	11%	86	+0.3
✕Miguel Amaya 2021 · A	22	42→41	46→50	48→40	46	211/282/339	129	262	14	4	25%	7%	77	-0.3	219/310/346	127	298	13	6	29%	9%	89	+0.5	212/319/354	142	290	16	3	30%	10%	93	+0.3
✕Drew Robinson 2014 · A	22	43→42	43→55	49→50	46	207/288/323	116	304	10	8	33%	9%	75	-0.5	192/266/331	139	282	14	11	35%	9%	69	-0.9	208/288/362	155	321	16	12	38%	10%	81	-0.0
✕Nicky Delmonico 2014 · A	22	39→47	48→50	48→45	46	203/280/344	141	266	16	8	30%	9%	77	-0.3	216/272/353	137	293	13	6	29%	7%	76	-0.4	230/299/381	151	284	16	4	24%	8%	89	+0.4
✕Eddinson Paulino 2023 · A	21	43→40	46→45	56→50	44	213/280/360	147	287	12	14	29%	8%	80	-0.2	202/260/324	122	280	11	15	30%	6%	64	-1.3	187/244/301	115	257	12	15	31%	6%	50	-1.5
✕Kody Clemens 2019 · A	23	46→44	44→60	50→45	45	227/284/346	119	293	11	8	26%	7%	78	-0.3	201/260/331	130	273	12	8	30%	7%	65	-1.2	227/284/435	209	256	27	8	24%	6%	97	+0.8
✕Bo Naylor 2021 · A	21	40→43	44→55	50	41	201/255/324	123	276	11	7	30%	7%	61	-1.5	198/278/343	145	273	16	13	32%	9%	76	-0.4	213/305/387	174	267	21	12	27%	11%	94	+0.7
✕Adrian Del Castillo 2023 · A	23	35→45	43→55	52→40	41	182/244/292	111	252	10	7	31%	7%	51	-2.2	214/284/360	146	291	16	3	30%	8%	82	-0.0	228/294/410	182	286	22	1	28%	8%	95	+0.6
●Ronny Simon 2022 · A	22	40→50	49→50	53→60	43	206/265/356	150	272	16	14	30%	7%	74	-0.6	220/270/357	137	283	15	22	27%	6%	75	-0.5	266/329/370	104	332	7	30	21%	8%	98	+0.9
●James Outman 2019 · A	22	39→49	47→55	53→50	39	201/258/335	134	281	16	11	34%	6%	66	-1.1	195/264/332	137	278	16	13	34%	7%	68	-1.0	227/320/420	193	316	24	14	33%	10%	108	+1.7
✕Parker Meadows 2023 · AA	23	40→47	48→55	52→55	43	209/268/351	142	267	16	12	28%	7%	74	-0.6	223/290/379	156	286	16	20	27%	8%	88	+0.4	222/295/383	161	284	16	22	27%	9%	88	+0.4
✕Joe Winker 2012 · A	22	49→33	44→55	55→45	42	234/289/365	131	323	9	6	29%	6%	84	+0.1	198/247/314	116	278	10	6	31%	5%	57	-1.8	172/217/282	111	237	10	6	32%	5%	38	-2.5
✕Trey Sweeney 2022 · A	22	43	50	53→55	45	220/289/382	163	296	17	9	31%	8%	88	+0.5	208/282/344	136	276	15	19	28%	8%	78	-0.3	213/282/342	129	276	14	17	27%	8%	75	-0.4
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1
✕Carlos Guzman 2008 · A	22	39→48	43→50	53→50	44	194/277/307	113	282	11	9	33%	9%	68	-1.0	224/272/334	110	313	11	8	30%	6%	70	-0.8	234/286/330	96	304	9	3	25%	6%	72	-0.3
✕Roger Bernadina 2006 · A	22	40→50	44→45	54→60	50	202/283/312	110	254	12	20	25%	9%	71	-0.8	236/296/330	94	314	8	26	25%	7%	78	-0.3	261/318/385	124	324	11	31	22%	7%	95	+0.9
✕Isan Díaz 2018 · A	22	39→41	46→55	45	42	198/268/329	131	290	14	8	35%	8%	69	-0.9	208/276/351	143	291	16	8	32%	8%	77	-0.3	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Brian Holberton 2014 · A	22	42	45	47→30	51	208/291/330	122	251	13	6	22%	9%	78	-0.3	213/275/319	106	250	9	3	18%	7%	68	-1.0	210/270/316	106	241	9	1	16%	7%	64	-0.6

Career Stats + Projections

Career Comps

Career Path Comps