Jeremiah Jenkins

Jeremiah Jenkins1B San Jose Giants

Age 23 L/L 6'3" / 261 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

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

showingROS

wRC+†72

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

PA9

HR0

K%33

BB%11

BABIP265

ISO139

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 40 / POW 35

Toolsscout grade

CONTACT40

scouting grade only

POWER35

scouting grade only

EYE45

scouting grade only

SPEED40

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	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-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	21	A	San Jose Giants	—	49	44	13	3	1	2	4	16	1	0	0	295	367	545	913	250	423	33	8	398	155	+3	+0	—	—	+1	0.4
2025	22	A	San Jose Giants	—	217	187	43	9	2	4	24	38	5	0	0	230	333	364	697	134	267	18	11	317	101	+0	+0	—	—	+5	0.5
2025	22	ROK	ACL Giants	—	66	54	20	4	2	3	10	9	1	0	0	370	477	685	1.162	315	395	14	15	489	217	+9	+0	—	—	+1	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	San Jose Giants	—	49	45	10	2	1	2	3	22	1	0	0	222	286	444	730	222	376	45	6	285	79	-1	+0	—	—	+1	-0.0
2025	22	A MLE	San Jose Giants	—	217	196	36	6	2	3	15	53	5	0	0	184	259	281	540	97	228	24	7	237	47	-14	+0	—	—	+5	-0.9
2025	22	ROK MLE	ACL Giants	—	66	58	15	3	1	2	6	12	1	0	0	259	338	448	787	190	291	18	9	348	122	+2	+0	—	—	+1	0.3
2024	21	A MLE	San Jose Giants	—	49	45	10	2	1	2	3	22	1	0	0	222	286	444	730	222	381	45	6	285	79	—	—	—	—	—	—
2024	21	A RAW	San Jose Giants	—	49	44	13	3	1	2	4	16	1	0	0	295	367	545	913	250	423	33	8	398	79	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	283	254	51	9	3	5	21	65	6	0	0	201	278	319	596	118	247	23	7	263	64	—	—	—	—	—	—
2025	22	A RAW	2 teams	—	283	241	63	13	4	7	34	47	6	0	0	261	367	436	802	174	296	17	12	357	64	—	—	—	—	—	—
2024	21	A MLE	San Jose Giants	—	49	45	10	2	1	2	3	22	1	0	0	222	286	444	730	222	376	45	6	285	79	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	283	254	51	9	3	5	21	65	6	0	0	201	278	319	596	118	243	23	7	263	64	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	San Jose Giants	—	49	45	10	2	1	2	3	22	1	0	0	222	286	444	730	222	376	45	6	285	79	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	283	254	51	9	3	5	21	65	6	0	0	201	278	319	596	118	243	23	7	263	64	—	—	—	—	—	—
YTD	23	A MLE	SF	—	464	400	69	18	2	14	50	181	9	0	0	172	279	333	611	160	262	39	11	271	70	-17	+0	+0	-8	+10	-1.5
▸ 2026 season
YTD	23	A RAW	SF	—	464	380	86	24	3	17	70	135	9	0	0	226	359	439	799	213	296	29	15	355	70	—	—	—	—	—	—
ROS	23	A MLE	SF	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		271	33	11	275	72	-0	+0	+0	-0	+0	-0.0
TOT	23	A MLE	SF	—	473	408	70	18	2	14	51	184	9	0	0	172	278	328	606	157	260	39	11	271	70	-17	+0	+0	-8	+10	-1.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	SF	30%	397	349	66	15	2	12	39	142	6	2	1	189	282	347	628	158	272	36	10	281	77	-11	+0	+0	-7	+9	-1.0
2028	25	MLB MLE	SF	44%	432	380	74	17	2	13	43	150	6	4	1	195	287	353	639	158	274	35	10	286	80	-10	+0	+0	-8	+9	-0.8
2029	26	MLB MLE	SF	51%	454	399	78	17	2	14	45	154	7	4	1	195	288	353	642	158	275	34	10	289	82	-10	+0	+0	-8	+10	-0.8
2030	27	MLB MLE	SF	52%	458	402	79	18	2	14	46	155	7	5	1	197	290	356	646	159	275	34	10	290	82	-10	+1	+0	-8	+10	-0.7
2031	28	MLB MLE	SF	53%	458	402	78	17	2	14	46	155	7	5	1	194	288	351	639	157	274	34	10	289	81	-10	+1	-1	-8	+10	-0.9
2027	24	MLB CTX	SF	30%	119	104	19	4	1	3	12	43	2	1	0	183	280	327	607	144	266	36	10	264	77	-3	+0	+0	-2	+3	-0.3
2028	25	MLB CTX	SF	44%	191	167	31	7	1	5	19	66	3	2	0	186	280	329	610	144	268	35	10	269	80	-5	+0	+0	-3	+4	-0.3
2029	26	MLB CTX	SF	51%	230	202	38	9	1	6	23	78	3	2	1	188	281	332	612	144	269	34	10	271	82	-5	+0	+0	-4	+5	-0.4
2030	27	MLB CTX	SF	52%	240	211	40	9	1	7	24	81	3	3	1	190	282	341	623	152	269	34	10	272	82	-5	+0	+0	-4	+5	-0.4
2031	28	MLB CTX	SF	53%	244	215	41	9	1	7	24	83	3	3	1	191	281	340	621	149	268	34	10	271	81	-5	+0	-0	-4	+5	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1024	899	169	38	5	28	102	351	14	11	3	188	281	335	616	147	269	34	10	270	79	-23	+1	-0	-18	+22	-1.9
/ 162G	—	A+C		—	650	571	107	24	3	18	65	223	9	7	2	187	281	335	616	147	267	34	10	270	79	-15	+1	-0	-12	+14	-1.2
Career	—	MLE		—	2540	2239	437	95	14	74	244	846	40	20	5	195	286	349	635	154	273	33	10	284	79	-51	+2	-1	-39	+48	-4.2
/ 162G	—	MLE		—	650	573	112	24	4	19	62	216	10	5	1	195	285	351	636	155	273	33	10	284	79	-15	+1	-0	-12	+14	-1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gregory 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
#2Justin Smoaklast yr '20 career totals — 11 seasons, 4,750 PA	7.2	4,750	196	3	229	322	419	-85	-77	1.9	3.9
/162	664	27	0	-11.9	-10.7	0.3	pk7: 6
#3Ike Davislast yr '15 career totals — 6 seasons, 2,377 PA	3.6	2,377	81	7	239	332	416	-42	-36	1.7	1.7
/162	664	23	2	-11.9	-10.1	0.5	pk7: 2
#4Chad Pinderlast yr '22 career totals — 7 seasons, 1,740 PA	2.6	1,740	62	5	242	294	417	-17	-20	0.6	0.6
/162	664	24	2	-6.5	-7.6	0.2	pk7: 1
#5Hunter Dozierlast yr '23 career totals — 6 seasons, 2,294 PA	3.5	2,294	73	19	238	305	421	-23	-45	0.0	0.0
/162	664	21	5	-6.5	-13.2	0.0	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.0	1,344	39	12	194	282	348	-24	-4	-2.0	-1.0
/162	664	19	6	-11.9	-2.2	-1.0	pk7: 0
#6Domonic Brownlast yr '15 career totals — 6 seasons, 1,748 PA	2.6	1,748	54	23	246	305	405	-19	-39	-1.1	-1.1
/162	664	21	9	-7.1	-14.7	-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
Jeremiah Jenkins (OGILVIE)	23	40	35	40	45	178/274/326	148	271	9	1	38%	10%	72	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dustin Yount 2006 · A	23	44	45	45→40	44	213/290/329	116	305	13	6	32%	8%	77	-0.3	211/285/319	108	285	12	5	28%	8%	73	-0.6	217/292/333	116	287	14	2	28%	9%	77	-0.2
✕Mike Costanzo 2007 · A	23	46→47	44→45	44→40	45	221/299/343	123	316	11	4	32%	9%	84	+0.1	220/283/349	129	318	13	3	33%	8%	78	-0.3	213/274/338	125	307	13	1	33%	7%	72	-0.6
✕Mike Gonzales 2011 · A	23	41→48	46→45	43→30	37	203/259/333	130	311	14	2	38%	6%	66	-1.1	210/277/335	125	305	13	3	33%	7%	73	-0.6	205/277/328	123	290	14	2	32%	8%	72	-0.4
✕Imanol Vargas 2021 · A	23	44→43	45→50	46→45	46	211/291/336	125	311	13	8	34%	10%	78	-0.3	206/287/361	155	334	19	4	40%	10%	83	+0.1	204/288/352	148	322	17	2	39%	10%	80	-0.1
✕Byron Wiley 2010 · A	23	45→44	46→45	47→45	47	214/297/351	137	324	12	7	35%	10%	84	+0.2	214/290/337	123	332	13	8	36%	9%	78	-0.3	180/264/286	106	281	17	8	40%	9%	56	-0.6
✕Brett Bonvechio 2006 · A	23	45→42	48→50	43→30	45	213/298/356	143	329	16	3	37%	10%	86	+0.3	213/286/351	138	306	14	3	33%	9%	80	-0.1	203/273/341	138	279	14	1	31%	8%	71	-0.3
✕Anthony Seigler 2022 · A	23	41→39	42→45	44→55	45	197/273/305	109	295	9	6	34%	9%	65	-1.2	191/295/300	109	252	10	15	26%	12%	73	-0.6	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Jose Medina 2018 · A	23	39	44→45	40→45	36	194/248/310	116	287	12	4	36%	6%	57	-1.8	212/263/320	108	286	10	5	28%	6%	64	-1.3	215/262/318	104	266	9	2	23%	6%	59	-0.8
✕Johnny Woodard 2008 · A	23	39→36	47→45	40→30	41	193/271/322	129	308	15	3	40%	8%	69	-0.9	207/285/329	122	306	12	5	34%	8%	76	-0.4	193/278/311	119	272	10	1	31%	8%	68	-0.5
✕Sandber Pimentel 2018 · A	23	43→39	48→50	45→30	41	213/280/345	132	313	17	2	36%	8%	77	-0.3	204/267/342	138	336	17	4	41%	8%	72	-0.7	159/227/306	147	262	20	0	46%	8%	45	-1.2
✕Brandon Wagner 2019 · AA	23	45→49	45	44→30	44	216/296/334	118	326	13	3	35%	9%	80	-0.1	180/264/273	93	301	10	4	40%	8%	55	-1.9	136/227/203	67	241	8	1	43%	8%	24	-2.2
✕Zach DeLoach 2022 · AA	23	45→51	46→45	45→50	43	222/287/358	136	309	13	7	31%	7%	82	-0.0	225/299/349	124	322	13	8	31%	9%	84	+0.2	223/301/339	116	322	12	10	32%	9%	81	-0.1
✕Erik Castro 2012 · A	24	43→46	46→50	40	40	211/271/335	124	318	14	5	37%	7%	71	-0.8	218/281/364	146	313	18	4	34%	8%	81	-0.1	212/277/357	145	295	19	2	33%	8%	77	-0.3
✕Luis Liberato 2019 · A	23	42→49	47→50	44→50	41	212/259/350	138	282	14	6	30%	6%	70	-0.9	225/271/352	127	297	14	7	28%	6%	74	-0.5	213/280/360	147	293	15	9	31%	8%	79	-0.1
✕Chris McGuiness 2011 · A	23	46→48	46→45	41→30	51	225/308/352	126	289	13	4	26%	10%	89	+0.5	212/285/331	119	280	12	3	27%	9%	76	-0.4	218/292/350	132	270	13	0	23%	9%	80	-0.1
✕Ricky Oropesa 2013 · A	23	44→43	46→45	45→30	40	217/271/346	129	314	14	3	34%	7%	73	-0.6	215/262/331	116	301	13	2	31%	6%	66	-1.1	207/257/318	111	280	13	0	30%	6%	59	-1.1
✕Nicky Delmonico 2015 · A	23	40→47	47→50	46→45	43	206/271/340	134	280	15	8	31%	7%	72	-0.7	225/282/366	141	294	13	6	27%	7%	82	-0.0	230/299/381	151	284	16	4	24%	8%	89	+0.4
✕Danny Hayes 2014 · A	23	42→47	41→45	45→30	45	203/262/307	104	272	8	3	28%	8%	61	-1.5	219/295/332	113	297	9	2	27%	9%	79	-0.2	217/300/335	118	289	10	0	27%	10%	79	-0.1
✕Stefan Welch 2012 · A	23	42→43	43→45	47→40	41	209/272/323	114	288	11	3	30%	6%	69	-0.9	208/275/321	113	283	12	5	29%	7%	70	-0.9	198/270/309	111	267	11	3	29%	7%	64	-0.9
✕Nick Yarnall 2018 · A	23	42	44→50	46→45	44	204/273/321	117	300	12	5	34%	9%	68	-1.0	197/268/336	139	305	16	6	38%	9%	70	-0.8	171/248/319	148	258	19	5	39%	9%	56	-0.7

Career Stats + Projections

Career Comps

Career Path Comps