Damon Dues — OGILVIE

Damon DuesSS San Antonio Missions

Age 28 L/R 6'0" / 180 lbs AA HR +5% Svc 0.0 · Ctrl thru 2034

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 136 proj PA

wRC+†79

AVG/OBP/SLG.219 / .300 / .319

PA12

HR0

K%25

BB%10

ISO100

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · Contract

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	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
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		$0.0M	+$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)
2021	23	ROK	ACL Giants Orange	—	98	78	20	3	1	0	14	22	4	2	3	256	396	321	716	64	345	22	14	333	112	+1	-1	—	—	+2	0.3
2022	24	A+	Eugene Emeralds	—	18	11	5	0	0	0	6	3	0	3	0	455	647	455	1.102		625	17	33	484	214	+2	+1	—	—	+0	0.3
2022	24	A	San Jose Giants	—	57	38	14	3	1	0	19	4	0	8	2	368	579	500	1.079	132	412	7	33	487	216	+8	+1	—	—	+1	1.0
2022	24	ROK	ACL Giants Orange	—	41	37	14	1	2	0	4	12	0	2	0	378	439	514	953	135	560	29	10	421	171	+3	+0	—	—	+1	0.5
2023	25	A+	Eugene Emeralds	—	250	210	61	15	0	0	36	52	2	25	4	290	399	362	761	71	384	21	14	350	123	+7	+3	—	—	+5	1.6
2023	25	ROK	ACL Giants Black	—	63	44	12	1	0	1	18	11	1	6	1	273	492	364	856	91	344	17	29	408	162	+5	+1	—	—	+1	0.7
2024	26	AA	Richmond Flying Squirrels	—	96	81	15	1	0	0	13	28	1	4	1	185	305	198	503	12	278	29	14	247	54	-5	+0	—	—	+2	-0.3
2024	26	INTL	Senadores de San Juan	—	32	27	3	0	1	0	5	4	0	0	1	111	250	185	435	74	130	12	16	216	32	-3	-0	—	—	+1	-0.2
2025	27	AA	San Antonio Missions	—	76	58	15	2	2	1	18	14	0	6	0	259	434	414	848	155	326	18	24	388	149	+4	+1	—	—	+2	0.7
2025	27	INTL	Algodoneros de Guasave	—	31	25	10	3	1	0	5	1	1	0	2	400	516	600	1.116	200	417	3	16	488	216	+4	-1	—	—	+1	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	23	ROK MLE	ACL Giants Orange	—	98	83	16	2	1	0	9	32	4	2	3	193	302	241	543	48	268	33	9	234	45	-6	-1	—	—	+2	-0.5
2022	24	A+ MLE	Eugene Emeralds	—	18	13	6	0	0	0	4	4	0	3	0	462	588	462	1.050		550	22	22	418	169	+1	+1	—	—	+0	0.3
2022	24	A MLE	San Jose Giants	—	57	44	14	3	1	0	13	6	0	8	2	318	474	432	906	114	373	11	23	407	162	+4	+1	—	—	+1	0.6
2022	24	ROK MLE	ACL Giants Orange	—	41	38	10	1	1	0	3	17	0	2	0	263	317	342	659	79	452	41	7	278	74	-1	+0	—	—	+1	0.0
2023	25	A+ MLE	Eugene Emeralds	—	250	223	48	11	0	0	23	71	2	25	4	215	294	265	559	49	310	28	9	254	58	-12	+3	—	—	+5	-0.4
2023	25	ROK MLE	ACL Giants Black	—	63	51	10	1	0	1	11	16	1	6	1	196	349	275	624	78	264	25	17	289	82	-1	+1	—	—	+1	0.1
2024	26	AA MLE	Richmond Flying Squirrels	—	96	85	14	1	0	0	9	33	1	4	1	165	253	176	429	12	260	34	9	205	25	-9	+0	—	—	+2	-0.6
2025	27	AA MLE	San Antonio Missions	—	76	64	16	2	2	1	12	16	0	6	0	250	368	391	759	141	309	21	16	328	108	+1	+1	—	—	+2	0.4
2021	23	ROK MLE	ACL Giants Orange	—	98	83	16	2	1	0	9	32	4	2	3	193	302	241	543	48	302	33	9	234	45	—	—	—	—	—	—
2021	23	ROK RAW	ACL Giants Orange	—	98	78	20	3	1	0	14	22	4	2	3	256	396	321	716	64	345	22	14	333	45	—	—	—	—	—	—
2022	24	A MLE	3 teams	—	116	96	30	4	2	0	19	27	0	13	2	312	426	396	822	83	435	23	16	363	132	—	—	—	—	—	—
2022	24	A RAW	3 teams	—	116	86	33	4	3	0	29	19	0	13	2	384	539	500	1.039	116	493	16	25	463	132	—	—	—	—	—	—
2023	25	A+ MLE	2 teams	—	313	273	59	12	0	1	35	87	3	31	5	216	312	271	583	55	312	28	11	261	63	—	—	—	—	—	—
2023	25	A+ RAW	2 teams	—	313	254	73	16	0	1	54	63	3	31	5	287	418	362	780	75	377	20	17	362	63	—	—	—	—	—	—
2024	26	AA MLE	2 teams	—	128	114	19	1	0	0	12	44	1	4	2	167	252	175	427	9	268	34	9	205	25	—	—	—	—	—	—
2024	26	AA RAW	2 teams	—	128	108	18	1	1	0	18	32	1	4	2	167	291	194	486	28	234	25	14	240	25	—	—	—	—	—	—
2025	27	AA MLE	2 teams	—	107	89	22	3	3	1	17	23	1	6	2	247	374	382	756	135	323	21	16	328	108	—	—	—	—	—	—
2025	27	AA RAW	2 teams	—	107	83	25	5	3	1	23	15	1	6	2	301	458	470	928	169	358	14	21	417	108	—	—	—	—	—	—
2021	23	ROK MLE	ACL Giants Orange	—	98	85	16	2	1	0	9	32	4	2	3	188	302	235	537	47	268	33	9	234	45	—	—	—	—	—	—
2022	24	A MLE	3 teams	—	116	96	30	4	2	0	19	27	0	13	2	312	426	396	822	83	428	23	16	363	132	—	—	—	—	—	—
2023	25	A+ MLE	2 teams	—	313	272	59	12	0	1	35	87	3	31	5	217	312	272	584	55	301	28	11	261	63	—	—	—	—	—	—
2024	26	AA MLE	2 teams	—	128	114	19	1	0	0	12	44	1	4	2	167	252	175	427	9	260	34	9	205	25	—	—	—	—	—	—
2025	27	AA MLE	2 teams	—	107	88	22	3	3	1	17	23	1	6	2	250	374	386	760	136	309	21	16	328	108	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	25	A+ MLE	2 teams	—	313	272	59	12	0	1	35	87	3	31	5	217	312	272	584	55	301	28	11	261	63	—	—	—	—	—	—
2024	26	AA MLE	2 teams	—	128	114	19	1	0	0	12	44	1	4	2	167	252	175	427	9	260	34	9	205	25	—	—	—	—	—	—
2025	27	AA MLE	2 teams	—	107	88	22	3	3	1	17	23	1	6	2	250	374	386	760	136	309	21	16	328	108	—	—	—	—	—	—
▸ 2026 season
2026	28	MLB MLE	SD	2%	12	11	2	0	0	0	1	3	0	0	0	182	250	182	432		291	25	8	285	79	-0	+0	+0	+0	+0	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	29	MLB MLE	SD	23%	194	171	38	7	1	3	19	49	2	5	1	222	307	327	635	105	291	25	10	287	80	-5	+1	-1	+2	+4	0.1
2028	30	MLB MLE	SD	35%	254	226	49	9	1	4	24	64	2	6	1	217	298	319	616	102	290	25	9	287	80	-6	+1	-2	+3	+6	0.1
2029	31	MLB MLE	SD	42%	265	236	52	10	1	4	25	67	2	5	1	220	300	322	622	102	288	25	9	285	79	-7	+1	-3	+3	+6	-0.0
2027	29	MLB CTX	SD	23%	44	40	9	2	0	1	4	11	0	1	0	225	295	350	645	125	288	25	9	280	80	-1	+0	-0	+0	+1	0.0
2028	30	MLB CTX	SD	35%	88	79	17	3	1	1	8	22	1	2	0	215	295	316	612	101	287	25	9	280	80	-2	+0	-1	+1	+2	0.0
2029	31	MLB CTX	SD	42%	111	98	22	4	1	2	11	28	1	2	0	224	309	347	656	122	285	25	10	278	79	-3	+0	-1	+1	+2	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	243	217	48	9	2	4	23	61	2	5	0	221	302	336	638	115	288	25	9	279	75	-6	+1	-2	+3	+5	0.1
/ 162G	—	A+C		—	650	580	128	24	5	11	62	163	5	13	0	221	301	336	638	116	286	25	10	279	75	-16	+3	-6	+7	+14	0.2
Career	—	MLE		—	1487	1299	287	48	9	13	161	396	15	72	17	221	314	302	616	81	305	27	11	279	75	-17	+2	-6	+8	+16	0.2
/ 162G	—	MLE		—	650	568	126	21	4	6	70	173	7	31	7	222	315	305	619	83	306	27	11	279	75	-16	+2	-6	+7	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jack Hannahanlast yr '14 career totals — 7 seasons, 1,867 PA	2.8	1,867	29	6	232	315	348	+6	+29	6.2	6.2
/162	664	10	2	+2.0	+10.4	2.2	pk7: 6
#2Alfredo Amezagalast yr '11 career totals — 7 seasons, 1,550 PA	2.3	1,550	12	47	245	306	330	+7	+41	5.3	5.3
/162	664	5	20	+3.1	+17.4	2.3	pk7: 5
#3Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.4	245	4	6	222	300	328	+3	+3	0.3	0.3
/162	664	10	15	+7.1	+8.1	0.9	pk7: 0

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
Damon Dues (OGILVIE)	28	—	—	—	—	219/300/319	99	291	2	4	25%	10%	79	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Garrett Stubbs 2022 · MLB	29	45	42→45	53→50	53	218/303/322	104	272	9	15	22%	10%	80	-0.1	228/308/344	116	295	11	12	25%	10%	86	+0.3	217/300/314	97	286	9	12	25%	9%	76	-0.1
✕Sherman Johnson 2018 · AAA	28	43→50	40→45	52→50	51	206/285/301	95	261	8	15	23%	9%	69	-0.9	207/277/309	102	286	8	11	28%	9%	67	-1.1	178/263/274	95	256	7	6	31%	9%	51	-0.9
✕Nolan Fontana 2019 · MLB	28	41→43	43→40	51→50	51	199/287/314	115	269	9	12	28%	11%	73	-0.6	204/293/327	123	297	12	10	32%	10%	78	-0.3	122/235/206	84	191	10	0	38%	11%	30	-0.8
✕Adam Greenberg 2008 · AAA	27	47→49	41→45	54→55	49	222/300/331	109	296	6	16	25%	9%	80	-0.1	231/299/328	97	302	6	18	24%	8%	79	-0.2	242/308/305	63	314	3	24	22%	7%	73	-0.3
✕Riley Unroe 2023 · AAA	27	46→48	43→45	54→55	49	224/295/336	111	285	10	20	24%	9%	80	-0.2	224/302/340	116	301	11	23	27%	10%	84	+0.1	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕Thomas Milone 2022 · AAA	27	50→45	44→45	52→55	44	238/302/364	125	332	11	18	30%	8%	88	+0.5	220/288/335	115	338	10	15	35%	8%	77	-0.3	203/277/309	106	322	9	15	37%	8%	63	-1.0
✕Tzu-Wei Lin 2022 · MLB	28	44→49	40→45	52→50	43	214/267/306	92	292	8	15	29%	7%	62	-1.4	207/277/323	116	296	12	15	32%	9%	70	-0.8	138/222/220	82	199	10	18	34%	10%	24	-0.9
✕Kramer Robertson 2023 · AAA	28	44→51	42→40	54→55	52	215/312/321	106	274	10	21	24%	10%	84	+0.2	203/304/283	80	278	6	21	27%	10%	73	-0.6	177/289/221	44	253	3	23	27%	11%	53	-1.8
✕Chris Herrmann 2016 · MLB	28	44→49	42→50	51→50	44	215/273/326	110	279	9	8	25%	7%	69	-0.9	221/298/372	151	284	17	10	27%	10%	90	+0.6	214/305/376	161	274	20	8	28%	11%	91	+0.3
✕Jeff Fiorentino 2011 · MLB	28	50→53	43→50	51→50	50	244/303/359	115	293	10	15	20%	8%	88	+0.4	222/289/341	119	269	11	10	21%	8%	79	-0.2	213/286/331	119	256	11	8	20%	8%	74	-0.4
✕Hoy Park 2023 · MLB	27	42→49	45	53→55	49	212/291/333	122	280	14	16	28%	10%	78	-0.3	220/305/328	108	302	10	17	28%	10%	82	-0.0	220/312/315	96	303	8	19	28%	11%	79	-0.1
✕Tim Torres 2012 · AAA	28	49→51	42→45	54→55	46	236/300/347	110	316	9	16	27%	8%	84	+0.1	210/268/306	96	312	7	16	33%	7%	63	-1.4	258/326/383	125	346	11	21	27%	9%	101	+0.6
✕Conner Crumbliss 2014 · AAA	27	45→49	44→45	51→50	58	221/320/338	118	265	11	15	20%	12%	91	+0.6	222/298/341	119	259	11	12	18%	9%	82	+0.0	217/290/330	114	247	10	11	16%	8%	76	-0.4
✕Mitchell Tolman 2022 · AAA	28	45→47	44→45	47→50	42	220/285/343	123	290	11	8	27%	6%	78	-0.3	229/300/362	133	293	12	9	25%	8%	88	+0.4	227/305/358	130	286	11	7	23%	8%	86	+0.2
✕Jason Pridie 2012 · MLB	28	46→54	43→50	54→55	44	227/276/338	111	284	10	18	24%	6%	73	-0.6	232/279/351	119	299	12	14	25%	6%	77	-0.3	235/283/370	135	294	15	19	25%	6%	81	-0.1
✕Matt Long 2015 · AAA	28	44→54	43→50	56→55	45	217/274/332	115	285	10	21	27%	7%	71	-0.8	205/259/311	106	272	9	14	27%	7%	60	-1.6	187/238/284	97	244	7	11	26%	6%	45	-2.2
✕Christian Lopes 2021 · AAA	28	45→51	44→45	47→50	49	222/297/340	118	275	11	13	23%	8%	82	+0.0	213/291/335	122	306	12	11	32%	8%	79	-0.2	194/280/309	115	286	11	9	33%	9%	67	-0.4
✕Brett Sullivan 2021 · AA	27	48→52	44→50	54→55	47	236/280/360	123	263	11	18	15%	6%	79	-0.2	216/269/330	114	249	10	10	17%	6%	69	-0.9	219/276/348	129	247	12	6	17%	7%	75	-0.3
✕Andrew Aplin 2018 · AAA	27	44→54	40	52→55	50	211/286/304	93	273	7	19	24%	9%	69	-0.9	210/279/316	106	267	10	9	24%	8%	70	-0.9	208/275/310	102	256	8	3	21%	8%	64	-0.7
✕JJ Muno 2022 · AA	28	39	43→40	54→60	39	192/278/300	107	279	10	21	33%	6%	67	-1.1	209/292/300	91	295	8	27	30%	7%	72	-0.7	198/291/265	66	283	5	39	29%	8%	61	-0.8

Career Stats + Projections

Career Comps

Career Path Comps