Clark Elliott — OGILVIE

Clark ElliottOF Midland RockHounds

Age 25 L/R 5'10" / 182 lbs AA HR -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION456 act + 9 ros · stats below = ROS only

showingROS

wRC+†82

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

PA9

HR0

K%33

BB%11

BABIP290

ISO108

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 50 / POW 49

Toolsscout grade

CONTACT50

scouting grade only

POWER49

scouting grade only

EYE65

scouting grade only

SPEED50

scouting grade only

DEFENSE40

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
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
Totals		$0.0M		$-0.3M	+$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)
2023	22	A+	Lansing Lugnuts	—	252	215	42	6	1	1	28	47	6	8	0	195	305	247	552	51	241	19	11	262	64	-11	+2	—	—	+5	-0.4
2023	22	A	Stockton Ports	—	122	93	25	2	1	1	21	20	5	5	3	269	429	344	773	75	320	16	17	357	128	+4	-0	—	—	+3	0.7
2024	23	A	Stockton Ports	—	236	182	53	9	3	6	36	51	13	6	2	291	442	473	914	181	367	22	15	404	159	+17	+0	—	—	+5	2.3
2024	23	ROK	ACL Athletics	—	20	18	7	2	0	0	2	8	0	1	0	389	450	500	950	111	700	40	10	424	173	+2	+0	—	—	+0	0.2
2025	24	AA	Midland RockHounds	—	316	259	67	13	3	8	48	67	7	9	1	259	389	425	813	166	317	21	15	366	134	+13	+1	—	—	+7	2.1
2025	24	A+	Lansing Lugnuts	—	167	127	30	7	2	4	33	30	6	7	0	236	416	417	833	181	277	18	20	379	143	+9	+1	—	—	+4	1.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	22	A+ MLE	Lansing Lugnuts	—	252	224	36	5	1	1	19	68	6	8	0	161	245	205	450	45	215	27	8	205	25	-23	+2	—	—	+5	-1.6
2023	22	A MLE	Stockton Ports	—	122	99	23	2	1	1	15	27	5	5	3	232	361	303	664	71	278	22	12	298	88	-2	-0	—	—	+3	0.1
2024	23	A MLE	Stockton Ports	—	236	193	45	7	2	5	25	67	13	6	2	233	359	368	727	135	313	28	11	322	104	+1	+0	—	—	+5	0.7
2024	23	ROK MLE	ACL Athletics	—	20	19	4	1	0	0	1	12	0	1	0	211	250	263	513	53	527	60	5	227	40	-1	+0	—	—	+0	-0.1
2025	24	AA MLE	Midland RockHounds	—	316	277	58	10	2	6	30	83	7	9	1	209	303	325	627	116	275	26	9	286	80	-8	+1	—	—	+7	0.1
2025	24	A+ MLE	Lansing Lugnuts	—	167	138	24	5	1	4	22	42	6	7	0	174	313	312	625	138	218	25	13	285	79	-4	+1	—	—	+4	0.1
2023	22	A+ MLE	2 teams	—	374	323	59	7	1	2	34	95	11	13	3	183	283	229	512	46	246	25	9	235	45	—	—	—	—	—	—
2023	22	A+ RAW	2 teams	—	374	308	67	8	2	2	49	67	11	13	3	218	345	276	621	58	265	18	13	293	45	—	—	—	—	—	—
2024	23	A MLE	2 teams	—	256	212	49	8	2	5	26	79	13	7	2	231	351	358	709	127	336	31	10	315	99	—	—	—	—	—	—
2024	23	A RAW	2 teams	—	256	200	60	11	3	6	38	59	13	7	2	300	442	475	917	175	391	23	15	405	99	—	—	—	—	—	—
2025	24	AA MLE	2 teams	—	483	415	84	15	4	10	52	125	13	16	1	202	310	330	641	128	261	26	11	286	79	—	—	—	—	—	—
2025	24	AA RAW	2 teams	—	483	386	97	20	5	12	81	97	13	16	1	251	398	422	820	171	304	20	17	371	79	—	—	—	—	—	—
2023	22	A+ MLE	2 teams	—	374	326	59	7	1	2	34	95	11	13	3	181	283	227	510	46	236	25	9	235	45	—	—	—	—	—	—
2024	23	A MLE	2 teams	—	256	215	49	8	2	5	26	79	13	7	2	228	351	353	704	126	330	31	10	315	99	—	—	—	—	—	—
2025	24	AA MLE	2 teams	—	483	415	84	15	4	10	52	125	13	16	1	202	310	330	641	128	255	26	11	286	79	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	A+ MLE	2 teams	—	374	326	59	7	1	2	34	95	11	13	3	181	283	227	510	46	236	25	9	235	45	—	—	—	—	—	—
2024	23	A MLE	2 teams	—	256	215	49	8	2	5	26	79	13	7	2	228	351	353	704	126	330	31	10	315	99	—	—	—	—	—	—
2025	24	AA MLE	2 teams	—	483	415	84	15	4	10	52	125	13	16	1	202	310	330	641	128	255	26	11	286	79	—	—	—	—	—	—
YTD	25	AA MLE	OAK	—	456	379	73	11	1	6	63	144	12	22	5	193	326	274	600	82	290	32	14	283	78	-12	+2	+0	-3	+10	-0.3
▸ 2026 season
YTD	25	AA RAW	OAK	—	456	350	80	13	1	8	92	118	12	22	5	229	405	340	745	111	319	26	20	352	78	—	—	—	—	—	—
ROS	25	AA MLE	OAK	2%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		285	33	11	290	82	-0	+0	-0	-0	+0	-0.0
TOT	25	AA MLE	OAK	—	465	387	74	11	1	6	64	147	12	22	5	191	324	271	595	80	288	32	14	283	78	-12	+2	-0	-3	+10	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	OAK	23%	365	308	64	11	1	7	46	106	8	11	2	208	326	318	644	110	288	29	13	299	89	-5	+1	-1	-2	+8	0.1
2028	27	MLB MLE	OAK	33%	510	432	91	15	2	10	63	145	10	15	3	211	325	324	649	113	288	28	12	301	90	-6	+2	-2	-3	+11	0.2
2029	28	MLB MLE	OAK	39%	514	436	93	16	2	11	63	146	10	13	3	213	326	335	661	122	288	28	12	301	90	-6	+1	-3	-3	+11	0.1
2030	29	MLB MLE	OAK	42%	400	340	71	12	1	8	49	114	8	10	2	209	322	321	643	112	287	28	12	300	89	-5	+1	-3	-2	+9	-0.1
2031	30	MLB MLE	OAK	43%	398	339	70	12	1	8	48	114	8	8	2	206	319	319	638	112	285	29	12	297	87	-6	+1	-4	-2	+9	-0.3
2027	26	MLB CTX	OAK	23%	84	72	15	3	0	2	10	24	2	2	1	208	321	333	655	125	293	29	12	286	89	-1	+0	-0	-1	+2	-0.0
2028	27	MLB CTX	OAK	33%	168	142	30	5	1	3	21	48	3	5	1	211	325	324	649	113	293	29	12	288	90	-2	+1	-1	-1	+4	0.1
2029	28	MLB CTX	OAK	39%	201	170	37	7	1	4	25	57	4	5	1	218	332	341	673	124	293	28	12	289	90	-2	+1	-1	-1	+4	0.0
2030	29	MLB CTX	OAK	42%	166	142	30	5	1	3	20	47	3	4	1	211	321	324	645	113	292	28	12	288	89	-2	+0	-1	-1	+4	-0.0
2031	30	MLB CTX	OAK	43%	172	146	31	5	1	3	21	49	3	4	1	212	324	322	645	110	291	28	12	285	87	-3	+0	-2	-1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	791	672	143	25	4	15	97	225	15	20	5	213	325	329	654	116	294	28	12	287	83	-10	+2	-5	-5	+17	-0.1
/ 162G	—	A+C		—	650	552	117	21	3	12	80	185	12	16	4	212	324	326	650	114	293	28	12	287	83	-9	+2	-4	-4	+14	-0.1
Career	—	MLE		—	3309	2813	582	96	14	61	382	927	81	93	18	207	319	316	635	109	282	28	12	292	83	-29	+7	-13	-13	+48	-0.1
/ 162G	—	MLE		—	650	553	115	19	3	12	75	182	16	18	4	208	320	318	639	110	283	28	12	292	83	-8	+2	-4	-4	+14	-0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Willie Harrislast yr '11 career totals — 10 seasons, 2,743 PA	4.1	2,743	39	106	241	331	351	-11	-2	5.3	6.2
/162	664	9	26	-2.7	-0.5	1.3	pk7: 7
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#3Michael 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
#4Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#5Dustin 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.2	798	16	20	211	321	328	-5	-8	0.9	0.9
/162	664	13	17	-4.0	-6.7	0.8	pk7: 1
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	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
Clark Elliott (OGILVIE)	25	50	45→49	50	65	198/320/292	94	285	5	12	30%	13%	82	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cal Stevenson 2022 · AA	25	46→56	43→45	50→60	51	226/300/335	109	289	11	16	25%	10%	81	-0.1	232/319/343	111	306	10	24	25%	11%	91	+0.6	239/332/352	113	308	9	30	23%	12%	96	+0.6
✕Tucker Bradley 2023 · AA	25	50→53	45	53→50	48	244/310/370	125	312	11	15	24%	8%	93	+0.8	239/302/367	128	313	11	15	25%	8%	89	+0.5	240/304/373	134	316	10	16	26%	8%	90	+0.3
✕Joe McCarthy 2019 · AAA	25	47→50	44→45	52→50	52	229/314/357	128	287	10	14	23%	10%	92	+0.7	205/285/339	134	288	14	8	31%	9%	78	-0.3	197/276/337	140	268	16	4	31%	8%	72	-0.3
✕Terrin Vavra 2022 · AA	25	48	43→45	49→50	49	230/305/350	120	299	10	12	25%	9%	87	+0.4	248/322/349	101	326	7	10	24%	9%	93	+0.8	251/326/342	91	332	6	8	24%	9%	89	+0.2
✕Jeff Corsaletti 2008 · AA	25	51→52	41→45	48→50	54	241/322/341	100	296	8	12	20%	10%	91	+0.7	232/307/341	109	280	8	10	19%	9%	86	+0.3	228/306/339	111	272	9	8	18%	10%	82	+0.0
✕Quincy Hamilton 2023 · AA	25	47→46	46→50	53→50	49	230/313/360	130	297	14	18	26%	9%	93	+0.8	205/283/344	139	266	16	12	28%	9%	78	-0.3	177/258/316	138	227	16	10	29%	9%	60	-0.9
✕Jeff Salazar 2006 · AAA	25	46→51	43→50	48→55	49	225/291/342	117	280	10	13	23%	8%	80	-0.2	232/304/362	130	282	11	15	20%	9%	89	+0.5	235/313/372	138	281	10	15	19%	9%	91	+0.5
✕Jeff Duncan 2004 · MLB	25	44→47	41→45	50→60	51	213/297/306	93	275	9	13	24%	10%	74	-0.5	225/295/327	102	291	9	18	24%	8%	78	-0.3	232/299/312	80	302	7	21	24%	7%	74	-0.3
✕Conner Crumbliss 2013 · AA	26	47→49	41→45	52→50	60	224/329/324	100	279	8	16	21%	13%	91	+0.6	220/307/339	119	260	11	13	19%	10%	86	+0.3	213/299/335	122	245	12	11	18%	10%	80	-0.1
✕Danny Muno 2014 · AA	25	50→51	42→45	48→50	55	237/324/344	107	296	8	14	22%	10%	93	+0.8	224/303/324	100	288	9	11	24%	9%	80	-0.1	220/300/306	86	302	6	11	27%	10%	72	-0.4
✕Ka'ai Tom 2019 · AA	25	44→48	45→50	49→50	45	220/283/349	129	278	12	13	25%	7%	78	-0.3	223/292/379	156	291	16	8	28%	7%	89	+0.5	204/283/359	155	273	17	6	30%	8%	78	-0.2
✕Carlos Alvarez 2012 · AAA	24	48	46→45	49→45	50	235/305/364	128	291	13	14	24%	9%	90	+0.6	230/294/348	118	287	10	8	22%	8%	82	-0.0	250/327/331	82	302	5	6	17%	9%	89	+0.2
✕Shane Peterson 2013 · AAA	25	52→58	44→50	51→50	50	250/326/373	123	325	11	14	25%	9%	99	+1.3	243/312/360	117	335	10	12	28%	9%	91	+0.7	253/305/380	127	338	11	8	27%	6%	91	+0.5
✕Richie Palacios 2022 · AAA	25	51→53	44→45	56→55	52	246/325/378	132	302	9	20	21%	9%	101	+1.4	238/318/359	121	286	10	18	19%	10%	94	+0.9	230/321/345	115	272	10	20	18%	10%	89	+0.4
✕Forrest Wall 2021 · AAA	25	45→55	43→45	50→70	43	218/279/334	115	298	10	16	29%	7%	73	-0.6	221/281/313	92	324	6	45	31%	7%	69	-0.9	253/326/354	101	349	8	50	27%	9%	92	+0.5
●TJ Friedl 2021 · AA	25	46→54	41→50	54→55	48	221/299/322	101	283	7	19	23%	8%	79	-0.2	234/304/371	137	273	13	17	19%	7%	91	+0.7	249/340/389	140	279	15	18	16%	10%	106	+1.6
✕Hoy Park 2021 · AA	25	48→49	38→45	51→55	50	227/301/311	84	298	5	16	24%	9%	76	-0.4	221/303/338	117	295	12	16	27%	10%	84	+0.1	215/302/326	111	288	12	18	27%	10%	79	-0.2
✕Sherman Johnson 2015 · A	25	47→50	46→45	52→50	51	233/309/366	133	288	12	13	23%	9%	92	+0.7	205/284/311	106	257	9	15	22%	10%	70	-0.8	202/277/291	89	276	6	11	27%	9%	60	-0.9
✕Matt Long 2012 · AA	25	49→54	45→50	55	48	241/300/377	137	284	11	17	20%	7%	91	+0.6	226/284/354	128	287	11	19	24%	7%	80	-0.2	216/274/335	119	281	11	21	26%	7%	70	-0.7
✕Nate Tenbrink 2012 · AA	25	47→53	45→50	58→50	46	228/296/364	135	295	12	17	26%	8%	86	+0.3	224/296/368	144	325	14	13	33%	8%	88	+0.4	219/293/364	145	332	15	11	36%	8%	83	+0.1

Career Stats + Projections

Career Comps

Career Path Comps