Jaron Elkins — OGILVIE

Jaron ElkinsOF Ontario Tower Buzzers

Age 21 R/R 6'1" / 193 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION475 act + 10 ros · stats below = ROS only

showingROS

wRC+†86

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

PA10

HR0

K%30

BB%10

BABIP319

ISO111

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$20M ctrl surplus

Tools · ContractCON 35 / POW 35

Toolsscout grade

CONTACT35

scouting grade only

POWER35

scouting grade only

EYE35

scouting grade only

SPEED60

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	+0.4	$0.9M	+$0.0M (cut)
2035	Arb-2	$3M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-3	$3M	+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)
2024	19	ROK	ACL Dodgers	—	228	186	53	11	3	5	33	80	8	20	7	285	414	457	871	172	471	35	14	391	150	+14	+1	—	—	+5	2.0
2025	20	A	Rancho Cucamonga Quakes	—	515	447	118	30	5	9	45	153	17	63	6	264	354	414	768	150	375	30	9	342	118	+11	+10	—	—	+11	3.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	19	ROK MLE	ACL Dodgers	—	228	200	32	6	2	3	19	117	8	20	7	160	260	255	515	95	347	51	8	234	45	-15	+1	—	—	+5	-0.9
2025	20	A MLE	Rancho Cucamonga Quakes	—	515	460	87	20	3	7	32	208	17	63	6	189	267	291	558	102	304	40	6	245	52	-29	+10	—	—	+11	-0.8
2024	19	ROK MLE	ACL Dodgers	—	228	200	32	6	2	3	19	117	8	20	7	160	260	255	515	95	358	51	8	234	45	—	—	—	—	—	—
2024	19	ROK RAW	ACL Dodgers	—	228	186	53	11	3	5	33	80	8	20	7	285	414	457	871	172	471	35	14	391	45	—	—	—	—	—	—
2025	20	A MLE	Rancho Cucamonga Quakes	—	515	460	87	20	3	7	32	208	17	63	6	189	267	291	558	102	319	40	6	245	52	—	—	—	—	—	—
2025	20	A RAW	Rancho Cucamonga Quakes	—	515	447	118	30	5	9	45	153	17	63	6	264	354	414	768	150	375	30	9	342	52	—	—	—	—	—	—
2024	19	ROK MLE	ACL Dodgers	—	228	199	32	6	2	3	19	117	8	20	7	161	260	256	516	95	347	51	8	234	45	—	—	—	—	—	—
2025	20	A MLE	Rancho Cucamonga Quakes	—	515	461	87	20	3	7	32	208	17	63	6	189	267	291	558	102	304	40	6	245	52	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	19	ROK MLE	ACL Dodgers	—	228	199	32	6	2	3	19	117	8	20	7	161	260	256	516	95	347	51	8	234	45	—	—	—	—	—	—
2025	20	A MLE	Rancho Cucamonga Quakes	—	515	461	87	20	3	7	32	208	17	63	6	189	267	291	558	102	304	40	6	245	52	—	—	—	—	—	—
YTD	21	A MLE	LAD	—	475	420	107	18	4	11	38	144	13	41	6	255	335	395	731	140	358	30	8	318	102	+1	+6	+0	-3	+10	1.4
▸ 2026 season
YTD	21	A RAW	LAD	—	332	286	97	19	6	13	33	73	9	34	6	339	422	584	1.006	245	416	22	10	434	102	—	—	—	—	—	—
YTD	21	A+ RAW	LAD	—	143	118	30	4	0	0	20	34	4	7	0	254	380	288	668	34	353	24	14	319	102	—	—	—	—	—	—
ROS	21	A MLE	LAD	0%	10	9	1	0	0	0	1	3	0	1	0	111	200	111	311		325	30	10	295	86	-0	+0	+0	-0	+0	0.0
TOT	21	A MLE	LAD	—	485	429	108	18	4	11	39	147	13	42	6	252	333	389	722	138	354	30	8	318	101	+1	+6	+0	-3	+11	1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	LAD	34%	556	497	112	20	4	12	42	178	12	24	3	225	301	354	655	129	321	32	8	296	87	-9	+4	+0	-3	+12	0.4
2028	23	MLB MLE	LAD	48%	597	533	122	22	4	14	47	184	12	24	3	229	306	364	670	135	319	31	8	304	92	-6	+4	+0	-4	+13	0.7
2029	24	MLB MLE	LAD	53%	615	548	128	23	4	16	49	185	13	23	3	234	311	378	689	144	318	30	8	309	95	-4	+3	+0	-4	+13	1.0
2030	25	MLB MLE	LAD	55%	627	558	131	24	4	17	51	187	13	22	3	235	314	384	697	149	318	30	8	311	97	-2	+3	+0	-4	+14	1.1
2031	26	MLB MLE	LAD	56%	634	564	132	24	4	17	52	189	13	21	3	234	313	381	694	147	318	30	8	312	98	-2	+3	+0	-4	+14	1.1
2032	27	MLB MLE	LAD	55%	634	564	132	24	4	17	52	189	13	20	3	234	313	381	694	147	318	30	8	312	98	-2	+3	+0	-4	+14	1.1
2033	28	MLB MLE	LAD	55%	629	558	130	23	4	17	53	188	13	18	3	233	314	380	694	147	317	30	8	311	97	-2	+2	-1	-4	+14	0.9
2034	29	MLB MLE	LAD	53%	619	549	127	23	4	16	52	187	13	16	2	231	313	375	688	144	314	30	8	308	95	-4	+2	-1	-4	+13	0.7
2035	30	MLB MLE	LAD	53%	609	541	124	22	4	16	51	185	12	14	2	229	310	373	683	144	313	30	8	306	93	-5	+2	-2	-4	+13	0.4
2036	31	MLB MLE	LAD	56%	595	528	119	21	4	15	50	183	12	13	2	225	307	366	672	140	310	31	8	302	90	-7	+2	-3	-4	+13	0.1
2037	32	MLB MLE	LAD	59%	576	512	113	20	3	14	48	179	11	11	2	221	301	354	655	133	307	31	8	296	86	-9	+1	-4	-3	+12	-0.2
2027	22	MLB CTX	LAD	34%	191	171	38	7	1	4	14	61	4	8	1	222	296	345	641	123	316	32	7	278	87	-3	+1	+0	-1	+4	0.1
2028	23	MLB CTX	LAD	48%	289	258	59	11	2	7	23	89	6	12	2	229	307	368	675	140	314	31	8	287	92	-3	+2	+0	-2	+6	0.3
2029	24	MLB CTX	LAD	53%	324	288	67	12	2	9	26	98	7	12	2	233	312	382	693	149	313	30	8	292	95	-2	+2	+0	-2	+7	0.5
2030	25	MLB CTX	LAD	55%	343	305	72	13	2	10	28	102	7	12	2	236	315	390	705	154	313	30	8	295	97	-1	+2	+0	-2	+7	0.6
2031	26	MLB CTX	LAD	56%	353	314	73	13	2	10	29	105	7	12	2	232	311	382	694	150	313	30	8	296	98	-1	+2	+0	-2	+8	0.6
2032	27	MLB CTX	LAD	55%	349	310	72	13	2	10	29	104	7	11	2	232	312	384	696	152	313	30	8	296	98	-1	+1	+0	-2	+8	0.6
2033	28	MLB CTX	LAD	55%	344	305	72	13	2	10	29	103	7	10	1	236	317	390	707	154	312	30	8	295	97	-1	+2	-0	-2	+7	0.5
2034	29	MLB CTX	LAD	53%	330	292	67	12	2	9	28	100	7	9	1	229	312	377	689	147	309	30	8	292	95	-2	+1	-1	-2	+7	0.4
2035	30	MLB CTX	LAD	53%	320	284	65	11	2	9	27	97	6	8	1	229	309	377	686	148	308	30	8	289	93	-3	+1	-1	-2	+7	0.2
2036	31	MLB CTX	LAD	56%	336	298	67	12	2	9	28	103	7	7	1	225	306	369	675	144	306	31	8	285	90	-4	+1	-2	-2	+7	0.1
2037	32	MLB CTX	LAD	59%	341	302	67	11	2	9	29	106	7	7	1	222	305	361	666	139	302	31	9	280	86	-5	+1	-2	-2	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3520	3127	719	128	21	96	290	1068	72	108	16	230	310	376	686	146	314	30	8	290	89	-26	+15	-6	-21	+76	3.9
/ 162G	—	A+C		—	650	577	134	24	4	18	54	197	13	20	3	232	312	381	693	149	317	30	8	290	89	-5	+3	-1	-4	+14	0.7
Career	—	MLE		—	7444	6621	1490	272	48	181	599	2362	162	290	42	225	305	363	668	138	318	32	8	300	89	-52	+30	-10	-40	+145	7.4
/ 162G	—	MLE		—	650	578	130	24	4	16	52	206	14	25	4	225	304	363	667	138	318	32	8	300	89	-5	+3	-1	-4	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#3Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.8	3,840	96	121	228	304	369	-23	+0	5.7	5.4
/162	664	17	21	-4.0	+0.0	1.0	pk7: 5
#4Michael 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
#5Gregory 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
#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
Jaron Elkins (OGILVIE)	21	35	35	60	35	222/300/346	124	325	6	22	33%	8%	86	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Masyn Winn 2022 · A	20	42→52	39→50	57→55	42	201/259/292	90	285	6	22	30%	7%	56	-1.9	230/286/359	129	289	11	21	23%	7%	82	-0.0	252/312/373	121	300	11	11	19%	7%	93	+0.8
●Esteury Ruiz 2021 · A	22	40→50	41→50	56→70	36	197/248/297	100	303	9	27	37%	5%	53	-2.1	241/307/371	130	307	13	52	25%	6%	93	+0.8	264/338/395	131	327	12	74	22%	6%	107	+1.2
✕Samad Taylor 2019 · A	21	38→48	41→45	54→65	45	190/253/296	106	249	8	22	26%	7%	55	-1.9	192/267/308	116	292	10	25	35%	8%	63	-1.3	235/311/365	130	323	13	46	29%	9%	92	+0.4
✕Daz Cameron 2018 · A	21	40→45	45→50	53→55	40	202/262/329	127	284	11	19	32%	6%	66	-1.1	201/268/318	117	295	9	17	33%	7%	66	-1.1	225/296/393	168	284	19	27	27%	8%	91	+0.3
✕Jon Matthews 2014 · A	23	42	38→40	58→60	41	198/263/275	77	278	5	25	29%	6%	54	-2.0	229/296/296	67	312	3	16	25%	8%	70	-0.8	240/310/292	52	324	2	16	24%	8%	72	-0.3
✕Yhoswar Garcia 2023 · A	21	42	38→30	62→70	39	195/262/277	82	303	5	38	35%	7%	54	-2.0	205/256/272	67	280	3	38	26%	5%	50	-2.3	202/248/254	52	267	2	51	24%	5%	40	-1.4
✕Kyren Paris 2023 · AA	21	41→47	45	60	41	193/274/319	125	316	12	27	39%	8%	69	-0.9	192/279/314	122	305	12	30	38%	10%	70	-0.9	180/273/303	123	282	14	35	38%	10%	63	-0.9
✕Maximo Rivera 2014 · A	21	46	39→45	53→60	43	222/276/307	85	284	7	21	24%	6%	65	-1.2	213/264/284	71	299	4	10	28%	6%	55	-1.9	202/246/250	47	282	3	7	28%	5%	37	-0.9
✕Sean Henry 2007 · A	21	41→51	45→50	56→55	43	207/263/331	123	274	12	24	28%	7%	66	-1.1	240/293/365	125	294	11	17	21%	6%	85	+0.2	248/301/372	124	296	11	17	19%	6%	87	+0.3
✕Braulio Vasquez 2022 · A	23	41	40	55→65	40	192/273/283	91	301	8	31	36%	8%	61	-1.5	219/285/318	99	305	7	26	28%	7%	72	-0.7	228/293/324	96	308	4	32	25%	7%	73	-0.3
✕Rymer Liriano 2012 · A	21	47→52	44→45	57→55	40	228/275/350	122	307	11	28	29%	6%	75	-0.5	238/288/357	119	329	10	23	29%	5%	82	-0.0	235/295/354	119	333	11	20	31%	6%	81	-0.0
✕Jay Allen II 2023 · A	20	44→46	40	59→55	44	203/295/297	94	301	7	32	32%	8%	72	-0.7	187/280/274	87	279	8	28	33%	8%	62	-1.4	197/281/296	99	271	10	24	29%	7%	64	-1.0
✕Roman Quinn 2014 · A	21	43→53	42→45	56→65	41	213/270/315	102	287	10	26	29%	6%	65	-1.2	239/297/338	99	321	8	33	26%	7%	80	-0.1	245/301/378	133	333	11	48	28%	7%	89	+0.2
✕Tyler Goeddel 2014 · A	21	43→51	40→45	59→55	40	207/258/309	101	292	7	20	30%	6%	59	-1.7	225/281/337	112	302	8	18	27%	6%	74	-0.5	227/288/340	113	297	9	18	25%	7%	75	-0.3
✕Kenny Wilson 2010 · A	20	35→45	37→40	56→60	37	170/241/239	69	279	4	27	38%	6%	38	-3.2	182/256/243	61	285	3	27	34%	7%	45	-2.7	200/268/290	91	305	7	22	34%	7%	57	-0.7
✕Aaron Whitefield 2018 · A	21	41→48	41→40	55→60	36	202/251/297	95	298	9	23	34%	5%	54	-2.0	181/229/256	75	293	6	24	38%	5%	36	-3.3	211/269/308	97	313	8	38	33%	7%	62	-0.7
✕Jorge Mateo 2015 · A	20	43→48	41→50	60→65	44	207/270/305	98	282	7	30	28%	7%	63	-1.4	210/256/311	101	298	6	37	30%	5%	59	-1.7	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Miguel Hiraldo 2023 · A	22	39→45	42→45	56→55	36	192/241/297	105	294	10	21	37%	6%	51	-2.3	209/255/309	100	326	9	20	37%	5%	59	-1.7	212/259/309	96	332	9	22	37%	5%	57	-0.9
✕Michael Crouse 2012 · A	21	41→39	46→50	57→55	38	198/262/336	138	311	13	24	39%	7%	68	-1.0	188/254/305	117	304	11	19	39%	7%	58	-1.7	195/263/321	126	297	12	19	36%	8%	62	-0.7
✕Derek Hill 2017 · A	21	44→52	36→55	59→60	37	207/250/277	70	305	3	25	32%	5%	48	-2.5	198/251/277	79	311	5	27	36%	6%	49	-2.4	242/294/410	167	331	20	27	32%	6%	94	+0.4

Career Stats + Projections

Career Comps

Career Path Comps