Dean Moss — OGILVIE

Dean MossOF Charleston RiverDogs

Age 20 L/R 6'0" / 180 lbs A HR +6%H +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION331 act + 10 ros · stats below = ROS only

showingROS

wRC+†76

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

PA10

HR0

K%20

BB%10

BABIP294

ISO126

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 55 / POW 44

Toolsscout grade

CONTACT55

scouting grade only

POWER44

scouting grade only

EYE49

scouting grade only

SPEED50

scouting grade only

DEFENSE50

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	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2034	Arb-1	$2M	+0.2	$0.4M	+$0.0M (cut)
2035	Arb-2	$2M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-3	$1M	—	—	—
Totals		$3M		$2M	+$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	20	A MLE	TB	—	331	302	65	11	2	4	21	80	4	17	8	215	275	305	580	89	275	24	6	261	63	-15	+0	+0	-2	+7	-1.0
▸ 2026 season
YTD	20	ROK RAW	TB	—	31	28	7	1	3	0	3	7	0	2	1	250	323	500	823	250	333	23	10	353	63	—	—	—	—	—	—
YTD	20	A RAW	TB	—	300	261	67	13	0	5	30	49	4	15	7	257	341	364	705	107	294	16	10	318	63	—	—	—	—	—	—
ROS	20	A MLE	TB	0%	10	9	1	0	0	0	1	2	0	0	0	111	200	111	311		285	20	10	280	76	-0	+0	+0	-0	+0	-0.0
TOT	20	A MLE	TB	—	341	311	66	11	2	4	22	82	4	17	8	212	273	299	572	87	271	24	6	261	63	-15	+0	+0	-2	+7	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	TB	34%	454	415	96	17	3	9	31	107	5	10	4	231	293	352	644	120	288	24	7	290	83	-9	+0	+0	-3	+10	-0.2
2028	22	MLB MLE	TB	48%	490	448	105	19	3	11	34	114	5	10	4	234	296	364	660	129	289	23	7	296	87	-8	+0	+0	-3	+11	0.0
2029	23	MLB MLE	TB	54%	529	480	114	21	3	12	38	121	6	10	4	237	302	369	670	131	290	23	7	300	89	-7	+0	+0	-3	+11	0.2
2030	24	MLB MLE	TB	55%	571	519	123	22	3	14	41	130	6	11	4	237	300	372	672	135	290	23	7	303	91	-6	+1	+0	-3	+12	0.4
2031	25	MLB MLE	TB	56%	617	560	134	24	4	15	45	140	7	12	4	239	304	377	681	137	291	23	7	304	92	-6	+1	+0	-4	+13	0.5
2032	26	MLB MLE	TB	56%	631	573	138	25	4	16	46	143	7	12	5	241	305	382	687	141	290	23	7	304	92	-6	+0	+0	-4	+14	0.4
2033	27	MLB MLE	TB	55%	632	573	138	25	4	16	47	144	7	12	5	241	306	382	688	141	290	23	7	304	92	-6	+0	+0	-4	+14	0.4
2034	28	MLB MLE	TB	55%	628	569	135	24	4	15	47	144	7	12	4	237	303	373	676	135	290	23	7	303	91	-6	+1	-1	-4	+14	0.4
2035	29	MLB MLE	TB	53%	619	560	133	24	3	15	47	143	7	11	4	237	305	371	676	134	289	23	8	301	90	-7	+1	-1	-4	+13	0.2
2036	30	MLB MLE	TB	53%	608	550	129	23	3	14	46	142	7	11	4	235	302	364	665	129	288	23	8	299	88	-9	+1	-2	-4	+13	-0.1
2027	21	MLB CTX	TB	34%	156	142	33	6	1	3	11	37	2	3	1	232	297	352	649	120	296	24	7	290	83	-3	+0	+0	-1	+3	-0.1
2028	22	MLB CTX	TB	48%	237	215	53	10	2	5	17	55	3	5	2	247	311	381	692	135	297	23	7	296	87	-4	+0	+0	-1	+5	0.0
2029	23	MLB CTX	TB	54%	287	262	64	12	2	7	20	66	3	6	2	244	305	385	691	141	298	23	7	300	89	-4	+0	+0	-2	+6	0.1
2030	24	MLB CTX	TB	55%	316	287	71	13	2	8	23	72	3	6	2	247	310	390	700	143	299	23	7	302	91	-3	+0	+0	-2	+7	0.2
2031	25	MLB CTX	TB	56%	345	313	77	14	2	9	25	78	4	7	3	246	310	390	700	144	299	23	7	303	92	-3	+0	+0	-2	+7	0.2
2032	26	MLB CTX	TB	56%	355	322	79	15	2	9	26	81	4	7	3	245	310	388	698	143	299	23	7	304	92	-3	+0	+0	-2	+8	0.2
2033	27	MLB CTX	TB	55%	350	317	78	14	2	9	26	80	4	7	3	246	311	388	699	142	299	23	7	304	92	-3	+0	+0	-2	+8	0.2
2034	28	MLB CTX	TB	55%	344	311	77	14	2	9	26	79	4	6	2	248	314	392	706	145	298	23	8	303	91	-4	+0	-0	-2	+7	0.2
2035	29	MLB CTX	TB	53%	331	299	72	13	2	8	25	77	4	6	2	241	308	378	686	137	298	23	8	301	90	-4	+0	-1	-2	+7	0.1
2036	30	MLB CTX	TB	53%	320	290	71	13	2	8	24	75	3	6	2	245	309	386	695	141	296	23	8	298	88	-4	+0	-1	-2	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3041	2758	675	124	19	75	223	700	34	59	22	245	309	385	694	140	300	23	7	301	90	-36	+3	-2	-18	+66	1.3
/ 162G	—	A+C		—	650	590	145	27	4	16	48	150	7	13	5	246	311	386	697	141	301	23	7	301	90	-8	+1	-0	-4	+14	0.3
Career	—	MLE		—	5789	5256	1246	224	34	137	423	1330	64	111	42	237	302	371	673	134	291	23	7	301	90	-71	+5	-4	-35	+125	2.2
/ 162G	—	MLE		—	650	590	140	25	4	15	47	149	7	12	5	237	301	369	670	132	291	23	7	301	90	-8	+1	-0	-4	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Kole Calhounlast yr '23 career totals — 11 seasons, 4,963 PA	7.5	4,963	179	33	242	316	418	-54	-33	8.3	9.6
/162	664	24	4	-7.3	-4.4	1.1	pk7: 11
#2Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#3Will 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	5.1	3,362	80	64	238	299	373	-20	+0	3.6	3.2
/162	664	16	13	-4.0	+0.0	0.7	pk7: 3

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
Dean Moss (OGILVIE)	20	55	44	50	49	224/283/334	110	285	6	11	24%	7%	76	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Cole Young 2023 · A	20	50→51	46→45	49→50	47	248/302/374	126	296	14	11	21%	7%	91	+0.7	233/316/354	121	279	10	13	19%	9%	92	+0.7	238/315/361	123	274	12	9	17%	8%	91	+0.6
✕Alek Thomas 2021 · A	21	50→54	42→50	48→50	43	238/291/351	112	318	9	10	27%	6%	81	-0.1	246/300/391	145	306	13	11	23%	6%	94	+0.9	245/298/391	146	296	14	11	21%	6%	91	+0.6
✕Carlos Vidal 2017 · A	21	48	43→45	49→50	48	234/302/348	114	288	10	12	22%	7%	85	+0.2	231/279/321	90	301	5	7	24%	6%	70	-0.9	236/282/326	90	306	4	6	23%	5%	69	-0.5
✕Luis Matos 2022 · A	20	51→55	46→50	51→50	42	252/290/385	134	287	13	14	18%	4%	89	+0.5	224/272/347	123	251	13	12	17%	5%	74	-0.5	237/289/389	152	247	18	13	13%	6%	88	+0.4
✕Caleb Gindl 2010 · A	21	49→54	47→50	50	44	238/297/374	135	325	14	11	30%	8%	89	+0.5	240/298/361	121	300	11	8	23%	7%	86	+0.3	237/294/370	133	295	13	4	23%	7%	84	+0.1
✕John Drennen 2007 · A	20	47→56	43→45	45	44	229/290/340	111	297	10	8	26%	6%	78	-0.3	217/271/317	100	276	8	5	24%	6%	66	-1.1	243/293/365	122	288	8	1	18%	6%	83	+0.1
●Gabriel Gonzalez 2023 · A	19	47→57	45→50	49→45	43	231/296/352	121	282	12	9	22%	5%	84	+0.2	244/298/369	125	295	13	7	21%	5%	88	+0.5	253/307/381	128	303	13	6	20%	5%	92	+0.6
✕Alberto Rodriguez 2022 · A	21	50→52	45	50	44	237/300/372	135	325	11	11	29%	8%	90	+0.6	215/269/329	114	313	9	8	32%	6%	68	-1.0	215/269/320	106	306	9	7	31%	6%	64	-0.8
✕Adrian Cardenas 2008 · A	20	51→59	41→40	50	44	246/290/344	98	299	8	12	20%	6%	79	-0.2	259/306/352	93	311	6	10	18%	6%	86	+0.3	272/321/361	89	314	4	8	14%	6%	93	+0.7
✕Hank Conger 2008 · A	20	47→57	46→50	48→45	42	234/273/366	131	279	14	9	22%	5%	78	-0.3	247/291/381	134	291	14	4	20%	6%	88	+0.5	251/302/378	128	291	13	2	18%	7%	91	+0.5
✕Erik Komatsu 2009 · A	21	45→55	46→45	48→50	45	227/279/361	134	265	14	7	20%	6%	80	-0.2	244/307/350	106	291	8	12	18%	7%	87	+0.4	260/327/355	95	300	6	17	15%	8%	94	+0.6
✕Hao-Yu Lee 2023 · A	20	48→44	45→50	48→55	46	232/305/356	123	310	12	12	28%	8%	88	+0.5	236/300/363	127	303	12	16	25%	7%	88	+0.4	241/304/389	148	298	14	15	23%	7%	93	+0.6
✕Noelvi Marte 2022 · A	20	45→53	48→50	51→55	43	224/286/370	146	300	16	14	30%	7%	84	+0.2	230/291/358	128	299	14	18	27%	7%	84	+0.1	242/290/375	133	303	14	21	24%	5%	85	+0.1
✕Shed Long Jr. 2017 · A	21	47→49	44→50	51→50	42	227/284/347	121	310	11	11	30%	7%	78	-0.3	234/294/372	138	318	14	11	29%	7%	88	+0.4	234/295/378	144	313	15	11	29%	7%	86	+0.3
✕Jordan Schafer 2008 · A	21	48→54	45→50	49→65	39	232/272/366	134	315	11	13	29%	5%	78	-0.3	222/284/341	119	312	10	14	30%	8%	76	-0.4	215/294/295	80	290	5	53	26%	10%	65	-0.6
✕Mason Williams 2013 · A	21	50→53	45	48→55	43	248/284/378	131	284	12	15	18%	4%	84	+0.2	231/275/321	90	275	6	14	17%	6%	68	-1.0	246/291/357	112	303	12	7	22%	6%	79	-0.2
●Domonic Brown 2009 · A	21	51→54	41→50	51→55	48	245/304/346	101	299	9	14	20%	7%	85	+0.2	252/311/396	144	315	14	18	23%	8%	99	+1.3	252/317/406	154	312	16	20	23%	8%	103	+1.1
●TJ Friedl 2017 · A	21	48→54	42→50	51→55	42	229/286/340	110	309	8	11	27%	6%	77	-0.3	227/295/326	99	297	6	15	24%	7%	78	-0.3	249/340/389	140	279	15	18	16%	10%	106	+1.6
✕Jesus Morelli 2009 · A	19	49	42→45	48→50	49	234/311/346	112	300	9	12	24%	8%	88	+0.5	220/282/290	70	304	4	10	27%	6%	64	-1.3	219/279/260	41	287	0	14	22%	6%	53	-0.5
✕Rio Ruiz 2014 · A	20	44→52	44→50	50→40	45	215/270/339	125	281	10	8	27%	7%	71	-0.8	232/297/337	105	300	8	4	23%	9%	80	-0.1	218/284/357	138	259	16	3	22%	8%	79	-0.1

Career Stats + Projections

Career Comps

Career Path Comps