Hayden Jatczak — OGILVIE

Hayden Jatczak1B San Jose Giants

Age 24 R/R 6'4" / 237 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION464 act + 9 ros · stats below = ROS only

showingROS

wRC+†90

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP279

ISO138

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 44 / POW 44

Toolsscout grade

CONTACT44

scouting grade only

POWER44

scouting grade only

EYE54

scouting grade only

SPEED47

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	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Arb-2	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-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.

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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	24	A MLE	SF	—	464	403	93	21	1	11	44	116	5	9	3	231	314	370	684	139	286	25	9	299	89	-6	+1	+0	-8	+10	-0.4
▸ 2026 season
YTD	24	A RAW	SF	—	310	254	75	21	2	9	44	55	3	6	3	295	405	500	905	205	333	18	14	389	89	—	—	—	—	—	—
YTD	24	A+ RAW	SF	—	154	129	34	5	0	3	20	30	2	3	0	264	371	372	743	109	313	19	13	335	89	—	—	—	—	—	—
ROS	24	A MLE	SF	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		285	22	11	301	90	-0	+0	+0	-0	+0	-0.0
TOT	24	A MLE	SF	—	473	411	94	21	1	11	45	118	5	9	3	229	312	365	677	136	283	25	10	299	89	-6	+1	+0	-8	+10	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	SF	38%	501	445	102	21	2	13	46	125	5	8	2	229	308	373	682	144	285	25	9	304	92	-5	+1	+0	-9	+11	-0.2
2028	26	MLB MLE	SF	55%	541	481	111	23	2	14	50	134	5	9	3	231	310	374	684	143	286	25	9	306	93	-4	+1	+0	-10	+12	-0.2
2029	27	MLB MLE	SF	61%	585	519	119	24	2	15	55	144	6	10	3	229	310	370	680	141	286	25	9	307	94	-4	+1	+0	-10	+13	-0.1
2030	28	MLB MLE	SF	64%	594	527	121	25	2	15	56	147	6	10	3	230	311	370	681	140	285	25	9	306	93	-5	+1	-1	-11	+13	-0.2
2031	29	MLB MLE	SF	64%	589	522	119	24	2	15	56	147	6	9	3	228	310	368	678	140	284	25	10	304	92	-6	+1	-1	-11	+13	-0.4
2032	30	MLB MLE	SF	64%	582	516	116	24	2	14	55	146	6	9	3	225	307	360	667	136	283	25	9	301	90	-7	+1	-2	-10	+13	-0.6
2033	31	MLB MLE	SF	64%	570	506	113	23	2	14	54	145	5	9	2	223	304	360	664	136	280	25	9	297	87	-9	+1	-3	-10	+12	-0.9
2034	32	MLB MLE	SF	70%	553	491	107	21	2	13	52	143	5	8	2	218	299	348	648	130	277	26	9	291	83	-11	+1	-4	-10	+12	-1.2
2035	33	MLB MLE	SF	74%	524	465	98	19	2	11	49	138	5	7	2	211	293	331	624	120	272	26	9	284	78	-13	+1	-4	-9	+11	-1.5
2027	25	MLB CTX	SF	38%	189	167	38	8	1	4	18	47	2	3	1	228	310	359	669	132	280	25	10	290	92	-2	+0	+0	-3	+4	-0.1
2028	26	MLB CTX	SF	55%	300	266	59	12	1	7	28	74	3	5	1	222	303	353	656	132	280	25	9	292	93	-2	+1	+0	-5	+6	-0.1
2029	27	MLB CTX	SF	61%	359	319	73	15	2	9	34	88	3	6	2	229	309	373	682	144	280	25	9	292	94	-3	+0	+0	-6	+8	-0.1
2030	28	MLB CTX	SF	64%	383	340	76	15	2	9	36	95	4	6	2	224	305	359	664	135	280	25	9	292	93	-3	+0	-0	-7	+8	-0.2
2031	29	MLB CTX	SF	64%	379	336	74	15	1	9	36	94	4	6	2	220	303	351	654	131	279	25	9	290	92	-4	+0	-1	-7	+8	-0.3
2032	30	MLB CTX	SF	64%	375	332	73	15	1	9	36	94	4	6	2	220	304	352	656	133	277	25	10	287	90	-4	+0	-1	-7	+8	-0.4
2033	31	MLB CTX	SF	64%	367	326	70	14	1	8	35	93	3	5	2	215	297	337	634	123	275	25	10	283	87	-6	+0	-2	-7	+8	-0.6
2034	32	MLB CTX	SF	70%	387	343	72	14	1	8	37	100	4	6	2	210	294	327	621	117	271	26	10	278	83	-8	+0	-2	-7	+8	-0.8
2035	33	MLB CTX	SF	74%	386	344	71	14	1	8	36	102	3	5	2	206	287	323	610	116	267	26	9	271	78	-10	+0	-3	-7	+8	-1.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3125	2773	606	122	11	71	296	787	30	48	16	219	301	347	648	129	277	25	9	286	89	-41	+3	-10	-56	+68	-3.7
/ 162G	—	A+C		—	650	577	126	25	2	15	62	164	6	10	3	218	301	347	648	128	276	25	10	286	89	-9	+1	-2	-12	+14	-0.8
Career	—	MLE		—	5048	4480	1007	204	18	124	474	1271	49	79	23	225	306	361	667	137	284	25	9	300	89	-64	+7	-15	-90	+109	-5.4
/ 162G	—	MLE		—	650	577	129	26	2	16	61	164	6	10	3	224	304	359	663	135	282	25	9	300	89	-8	+1	-2	-12	+14	-0.7

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
#2Luis 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.2	3,444	85	53	225	303	363	+5	+4	6.3	5.9
/162	664	16	10	+1.0	+0.7	1.2	pk7: 5
#4Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	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
Hayden Jatczak (OGILVIE)	24	44	44	47	54	224/304/360	136	285	8	6	25%	9%	90	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Devin Mann 2021 · A	24	44	49→50	44→45	46	222/291/369	146	287	17	7	28%	8%	86	+0.3	215/294/365	150	282	16	5	28%	8%	87	+0.4	210/294/364	154	277	16	4	29%	9%	85	+0.2
✕Luis Santana 2023 · A	24	45	45	48→50	43	224/290/348	124	291	13	11	27%	6%	81	-0.1	210/266/326	116	267	13	7	26%	5%	68	-1.0	191/245/302	111	237	14	5	25%	5%	51	-1.2
✕Kenny Holmberg 2007 · A	24	46→47	48→50	41→40	49	231/300/373	142	280	16	5	23%	8%	91	+0.6	219/301/321	102	275	10	4	23%	9%	80	-0.2	211/302/300	89	264	9	2	22%	10%	74	-0.4
✕Brett Harris 2022 · A	24	44→52	44→45	49→50	43	218/288/335	117	294	12	11	29%	7%	78	-0.3	241/313/376	135	292	15	10	22%	8%	96	+1.0	238/318/367	129	288	14	9	21%	8%	93	+0.6
✕Grant Psomas 2007 · A	24	50	47→50	45	45	245/298/383	138	309	14	7	25%	7%	92	+0.7	203/267/341	138	277	14	7	30%	7%	71	-0.8	176/248/322	146	239	15	6	32%	8%	58	-1.1
✕Jaxx Groshans 2022 · A	24	46	47→50	47→30	46	229/293/363	134	302	15	4	28%	8%	85	+0.2	199/268/321	122	290	12	5	33%	8%	67	-1.1	125/209/240	115	181	12	0	37%	9%	24	-1.4
✕Jeferson Morales 2022 · A	23	41→48	47→45	48→50	48	209/292/350	141	261	14	9	25%	8%	83	+0.1	204/281/333	129	269	13	9	28%	7%	75	-0.5	221/295/347	125	275	11	8	22%	7%	80	-0.1
✕Brandon Meredith 2014 · A	24	44→40	49→50	46→45	47	219/301/375	156	289	16	8	29%	9%	92	+0.7	212/285/350	138	279	16	7	28%	8%	80	-0.1	196/270/331	135	249	17	5	28%	8%	67	-0.4
✕Matt Duffy 2013 · A	24	49	45→50	45→40	43	238/316/365	127	298	12	5	24%	6%	95	+1.0	240/296/378	138	299	16	3	25%	5%	91	+0.6	240/293/379	138	295	17	2	24%	5%	87	+0.3
✕Tommy Field 2011 · A	24	47→51	45	50→45	44	229/300/352	123	298	12	10	26%	7%	86	+0.3	228/292/347	119	292	11	8	25%	7%	81	-0.1	221/290/346	125	277	12	7	24%	7%	79	-0.1
✕Alsander Womack 2023 · A	24	48→47	43→40	44→45	48	235/296/337	102	285	12	7	22%	8%	80	-0.1	223/287/304	81	281	8	9	22%	7%	70	-0.9	216/285/284	68	272	7	8	22%	7%	62	-0.8
✕Justin Miller 2013 · A	24	52	45	49→50	43	251/306/372	122	324	12	13	26%	6%	92	+0.7	228/289/322	94	309	9	15	27%	7%	74	-0.5	200/268/232	33	280	3	24	27%	6%	43	-0.8
✕Chris Westervelt 2006 · A	24	46	45	47→45	51	226/305/352	126	281	11	4	23%	9%	88	+0.4	216/281/344	128	307	14	7	32%	8%	77	-0.3	176/240/300	125	254	20	5	38%	8%	53	-0.5
✕Dallas Carroll 2018 · A	24	47→34	45	46→45	46	235/293/353	118	283	13	9	22%	6%	83	+0.1	188/250/269	81	260	7	7	29%	7%	47	-2.5	168/229/234	66	229	6	6	28%	7%	30	-3.7
✕Tyler Saladino 2012 · A	23	44→47	47→45	45→55	43	218/283/362	143	294	13	7	29%	7%	82	-0.0	219/288/314	95	284	7	20	24%	8%	72	-0.7	253/298/364	112	301	10	25	19%	5%	85	+0.2
✕Travis Jones 2009 · A	23	41→48	48→45	46→50	48	212/289/356	144	267	16	11	27%	9%	83	+0.1	214/284/324	110	289	10	15	28%	8%	74	-0.6	209/281/304	95	284	8	19	28%	8%	66	-0.7
✕Jairo Perez 2012 · A	24	51	49→50	48→50	47	254/312/401	147	297	16	11	20%	7%	101	+1.4	247/305/386	139	285	15	8	18%	6%	95	+1.0	261/297/387	126	291	15	5	16%	2%	91	+0.3
✕Adam Rosales 2007 · A	24	43→48	46→55	46→45	43	218/275/347	129	276	13	7	26%	6%	75	-0.5	232/295/377	145	286	12	8	22%	6%	89	+0.5	235/302/384	149	284	12	8	21%	6%	92	+0.6
✕Richard Racobaldo 2010 · A	25	50→48	44→45	49→50	45	245/299/362	117	302	11	9	22%	6%	87	+0.4	226/282/318	92	319	6	8	29%	7%	70	-0.8	219/278/301	82	318	4	6	30%	7%	63	-1.1
✕Harrison Spohn 2023 · A	24	45	45	44→45	48	219/296/342	123	306	12	7	31%	10%	82	-0.0	187/252/288	101	288	11	7	36%	8%	53	-2.1	163/230/249	86	261	9	7	39%	8%	34	-1.7

Career Stats + Projections

Career Comps

Career Path Comps