Trey Lipscomb — OGILVIE

Trey Lipscomb3B Rochester Red Wings

Age 26 R/R 6'2" / 202 lbs AAA Svc 2.000S2 · Ctrl thru 2029

2026 ROS PROJECTION521 act + 8 ros · stats below = ROS only

showingROS

wRC+†vL 7575vR 73

AVG/OBP/SLG—

PA1

HR0

K%25

BB%6

BABIP281

ISO117

MLB%10%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

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

Tools · Splits · ContractCON 45 / POW 30

Toolsscout grade · Statcast %ile · 2024-2025

CONTACT45

Whiff%

4311.7%

xAVG

160.224

POWER30

Barrel%

100.7

Avg EV

1084.9

Bat Spd

3770.0

EYE45

Chase%

3335.0%

SPEED50

Sprint

5027.5

Platoon Splits2024 · 211 PA

vs LHP

vs RHP

Edge

136

—

wRC+

-19

▶▶R

wOBA

140

285

▶▶R

ISO

014

042

▶▶R

BABIP

152

308

▶▶R

17.3%

19.9%

◀L

BB%

2.7%

10.3%

▶▶R

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

Status Pre-Arb SUPER-2

MLB Debut 2024

Service 2.000 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Arb-1	$0.0M	+0.0	$0.0M	+$0.0M (cut)
2027	Arb-2	$0.2M	—	—	—
2028	Arb-3	$0.4M	—	—	—
2029	Arb-4	$0.6M	—	—	—
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)
2022	22	A	Fredericksburg Nationals	—	101	97	29	4	1	1	4	19	0	12	1	299	327	392	718	93	364	19	4	321	103	+0	+2	—	—	+2	0.5
2023	23	AA	Harrisburg Senators	—	335	320	91	15	2	10	12	61	1	4	3	284	312	438	750	153	323	18	4	329	109	+4	-0	—	—	+7	1.1
2023	23	A+	Wilmington Blue Rocks	—	212	191	48	14	0	4	15	42	3	6	3	251	316	387	703	136	297	20	7	312	97	-1	+0	—	—	+5	0.4
2023	23	INTL	Scottsdale Scorpions	—	84	83	17	2	0	1	1	18	0	1	0	205	214	265	479	60	250	21	1	214	31	-7	+0	—	—	+2	-0.5
2024	24	MLB	Washington Nationals	—	211	190	38	3	0	1	16	40	2	11	2	200	268	232	500	32	247	19	8	234	44	-14	+1	-2	+2	+5	-0.9
2024	24	AAA	Rochester Red Wings	—	264	240	68	14	0	4	22	50	1	8	5	283	345	392	736	108	344	19	8	332	111	+3	-0	—	—	+6	0.9
2025	25	AAA	Rochester Red Wings	—	489	449	112	29	1	11	35	95	2	12	6	249	307	392	699	143	293	19	7	311	96	-2	+0	—	—	+11	0.9
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	211	190	38	3	0	1	16	40	2	11	2	200	268	232	500	32	247	19	8	234	44	-14	+1	-2	+2	+5	-0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	22	A MLE	Fredericksburg Nationals	—	101	98	26	3	1	1	3	28	0	12	1	265	287	347	634	82	359	28	3	269	68	-4	+2	—	—	+2	0.0
2023	23	AA MLE	Harrisburg Senators	—	335	324	78	12	2	7	8	74	1	4	3	241	261	355	616	114	287	22	2	264	65	-14	-0	—	—	+7	-0.7
2023	23	A+ MLE	Wilmington Blue Rocks	—	212	196	43	13	0	3	10	58	3	6	3	219	268	332	600	112	283	27	5	264	65	-9	+0	—	—	+5	-0.4
2024	24	MLB MLE	Washington Nationals	—	211	191	38	3	0	1	16	40	2	11	2	199	268	230	498	31	247	19	8	231	43	-14	+1	-2	+2	+5	-0.9
2024	24	AAA MLE	Rochester Red Wings	—	264	247	59	12	0	3	16	63	1	8	5	239	288	324	612	85	307	24	6	267	67	-10	-0	—	—	+6	-0.5
2025	25	AAA MLE	Rochester Red Wings	—	489	461	101	24	1	8	23	111	2	12	6	219	259	328	587	108	268	23	5	257	60	-23	+0	—	—	+11	-1.3
2022	22	A MLE	Fredericksburg Nationals	—	101	98	26	3	1	1	3	28	0	12	1	265	287	347	634	82	362	28	3	269	68	—	—	—	—	—	—
2022	22	A RAW	Fredericksburg Nationals	—	101	97	29	4	1	1	4	19	0	12	1	299	327	392	718	93	364	19	4	321	68	—	—	—	—	—	—
2023	23	AA MLE	3 teams	—	631	601	139	28	2	12	21	152	4	11	6	231	262	344	606	113	287	24	3	264	65	—	—	—	—	—	—
2023	23	AA RAW	3 teams	—	631	594	156	31	2	15	28	121	4	11	6	263	300	397	698	135	305	19	4	308	65	—	—	—	—	—	—
2024	24	AAA MLE	2 teams	—	475	438	97	15	0	4	32	103	3	19	7	221	279	283	562	62	280	22	7	251	56	—	—	—	—	—	—
2024	24	AAA RAW	2 teams	—	475	430	106	17	0	5	38	90	3	19	7	247	311	321	632	74	301	19	8	288	56	—	—	—	—	—	—
2025	25	AAA MLE	Rochester Red Wings	—	489	461	101	24	1	8	23	111	2	12	6	219	259	328	587	108	270	23	5	257	60	—	—	—	—	—	—
2025	25	AAA RAW	Rochester Red Wings	—	489	449	112	29	1	11	35	95	2	12	6	249	307	392	699	143	293	19	7	311	60	—	—	—	—	—	—
2022	22	A MLE	Fredericksburg Nationals	—	101	97	26	3	1	1	3	28	0	12	1	268	287	351	638	82	359	28	3	269	68	—	—	—	—	—	—
2023	23	AA MLE	3 teams	—	631	601	139	28	2	12	21	152	4	11	6	231	262	344	606	113	285	24	3	264	65	—	—	—	—	—	—
2024	24	AAA MLE	2 teams	—	475	437	97	15	0	4	32	103	3	19	7	222	279	284	563	62	280	22	7	251	56	—	—	—	—	—	—
2025	25	AAA MLE	Rochester Red Wings	—	489	461	101	24	1	8	23	111	2	12	6	219	259	328	587	108	268	23	5	257	60	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	23	AA MLE	3 teams	—	631	601	139	28	2	12	21	152	4	11	6	231	262	344	606	113	285	24	3	264	65	—	—	—	—	—	—
2024	24	AAA MLE	2 teams	—	475	437	97	15	0	4	32	103	3	19	7	222	279	284	563	62	280	22	7	251	56	—	—	—	—	—	—
2025	25	AAA MLE	Rochester Red Wings	—	489	461	101	24	1	8	23	111	2	12	6	219	259	328	587	108	268	23	5	257	60	—	—	—	—	—	—
YTD	26	AAA MLE	WSH	—	521	496	116	23	1	21	19	165	1	15	3	234	264	411	675	177	304	32	4	288	81	-12	+2	+0	+2	+11	0.3
▸ 2026 season
YTD	26	AAA RAW	WSH	—	521	486	140	29	1	31	28	137	1	15	3	288	328	543	871	255	340	26	5	375	81	—	—	—	—	—	—
ROS	26	AAA MLE	WSH	10%	8	8	1	0	0	0	0	2	0	0	0	125	125	125	250		282	25	0	279	75	-0	+0	-0	+0	+0	-0.0
▸ 2026 season — projected rest
ROS	26	MLB CTX	WSH	10%	1	1	0	0	0	0	0	0	0	0	0						281	0	0	276	75	-0	+0	-0	+0	+0	-0.0
FULL	26	MLB A+C	WSH	—	1	1	0	0	0	0	0	0	0	0	0							0	0	276	81	-0	+0	-0	+0	+0	-0.0
TOT	26	AAA MLE	WSH	—	529	504	117	23	1	21	19	167	1	15	3	232	261	407	668	175	301	32	4	288	81	-12	+2	-0	+2	+11	0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	27	MLB MLE	WSH	31%	395	373	84	17	1	12	18	111	1	10	2	225	263	373	635	147	282	28	5	279	75	-12	+1	-1	+1	+9	-0.2
2028	28	MLB MLE	WSH	42%	403	380	85	17	1	12	19	114	1	9	2	224	263	368	631	145	281	28	5	278	75	-12	+1	-2	+1	+9	-0.3
2029	29	MLB MLE	WSH	46%	398	375	83	16	1	12	19	113	1	9	2	221	261	365	626	144	280	28	5	276	73	-13	+1	-3	+1	+9	-0.4
2030	30	MLB MLE	WSH	48%	394	371	82	16	1	12	19	113	1	8	2	221	261	367	627	146	279	29	5	273	71	-14	+1	-3	+1	+9	-0.6
2027	27	MLB CTX	WSH	31%	123	116	26	5	0	4	6	35	0	3	1	224	262	371	633	147	281	28	5	276	75	-4	+0	-0	+0	+3	-0.1
2028	28	MLB CTX	WSH	42%	170	159	35	7	0	5	8	48	1	4	1	220	262	358	620	138	281	28	5	275	75	-5	+0	-1	+1	+4	-0.1
2029	29	MLB CTX	WSH	46%	183	171	39	8	0	6	9	52	1	4	1	228	271	380	651	152	280	28	5	273	73	-6	+0	-1	+1	+4	-0.2
2030	30	MLB CTX	WSH	48%	190	178	40	8	0	6	9	55	1	4	1	225	266	371	637	146	279	29	5	271	71	-7	+0	-2	+1	+4	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	878	815	178	31	0	22	48	230	5	26	6	218	266	337	603	119	275	26	5	264	67	-35	+3	-6	+4	+19	-1.6
/ 162G	—	A+C		—	650	603	132	23	0	16	36	170	4	19	4	219	267	337	604	118	276	26	6	264	67	-26	+2	-4	+3	+14	-1.2
Career	—	MLE		—	3294	3105	698	136	8	73	154	847	13	90	28	225	264	344	609	119	284	26	5	268	67	-64	+5	-11	+7	+39	-2.4
/ 162G	—	MLE		—	650	613	138	27	2	14	30	167	3	18	6	225	265	344	609	119	285	26	5	268	67	-23	+2	-4	+3	+14	-0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#2Adam 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
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Ryan 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
#5Nick 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 3 projected seasons	1.4	912	22	27	217	261	335	+3	-2	-0.6	-0.5
/162	664	16	19	+2.4	-1.5	-0.4	pk7: -1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-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
Trey Lipscomb (OGILVIE)	26	45	30	50	45	222/260/369	147	282	11	10	28%	4%	75	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Danny Worth 2012 · MLB	26	46→53	41→45	52→50	43	223/275/321	98	292	8	16	26%	6%	68	-1.0	207/271/299	92	297	6	15	30%	8%	62	-1.4	223/291/322	99	325	7	9	31%	8%	72	-0.4
✕Danny Mendick 2020 · MLB	26	44→48	44→45	47→50	48	218/282/335	117	261	12	15	21%	7%	75	-0.5	230/290/343	113	287	12	10	23%	7%	80	-0.2	238/297/343	105	299	11	4	23%	7%	80	-0.0
✕Tyler Wade 2021 · MLB	26	46→55	42→40	53→60	45	221/283/326	105	287	9	19	25%	7%	73	-0.6	227/298/319	92	300	7	37	25%	9%	77	-0.3	228/299/304	76	306	5	50	25%	8%	71	-0.4
✕Taylor Featherston 2016 · MLB	26	42→47	46→50	50	39	212/257/343	130	272	13	12	27%	4%	67	-1.1	198/251/312	114	276	11	11	31%	5%	58	-1.7	184/241/291	108	266	11	12	34%	5%	48	-1.6
✕Kramer Robertson 2021 · AAA	26	44→51	41→40	45→55	51	213/297/310	97	259	8	13	20%	9%	76	-0.4	210/304/310	100	271	9	19	24%	10%	78	-0.3	198/302/281	83	262	7	22	25%	10%	69	-0.8
✕Tyler Goeddel 2019 · MLB	26	43→51	40→45	51→55	45	209/273/301	92	268	7	12	24%	7%	63	-1.3	202/265/292	90	299	7	8	32%	7%	59	-1.7	166/234/225	59	279	2	2	38%	7%	31	-1.4
✕Robert Andino 2010 · MLB	26	46→54	43→45	47→50	44	228/276/341	113	286	10	14	24%	6%	74	-0.6	231/280/328	97	285	8	13	21%	6%	72	-0.7	226/286/303	77	287	6	9	22%	7%	67	-0.8
✕Jason Romano 2005 · MLB	26	42	44→45	53→50	44	212/267/323	112	267	12	15	25%	7%	66	-1.1	232/282/350	118	283	11	9	21%	6%	78	-0.3	255/296/373	118	310	9	9	20%	5%	86	+0.1
✕Gary Brown 2015 · AAA	26	42→52	41→45	50→55	39	208/258/306	97	270	8	23	26%	4%	59	-1.7	209/256/312	103	263	9	18	24%	4%	59	-1.6	196/237/290	93	239	8	16	21%	4%	45	-2.0
✕Pete Kozma 2014 · MLB	26	44→47	39→40	46→50	47	211/264/296	86	259	6	6	21%	7%	59	-1.7	206/265/285	79	253	6	11	20%	7%	57	-1.8	194/243/282	88	241	5	6	21%	5%	46	-1.7
✕Jose Duarte 2011 · AAA	26	48→56	40	50→55	46	232/283/322	90	286	7	17	21%	7%	72	-0.7	228/297/319	91	286	6	13	21%	9%	76	-0.4	224/302/304	80	279	5	13	20%	10%	74	-0.3
✕Alay Lago 2017 · AAA	26	47→56	41→40	54→45	41	229/267/332	103	281	9	13	22%	4%	68	-1.0	243/273/333	90	293	7	8	19%	3%	70	-0.9	249/274/329	80	298	6	6	18%	3%	67	-0.7
✕Clint Sammons 2010 · MLB	27	40→50	41→40	50→45	42	200/245/290	89	248	9	10	23%	5%	50	-2.3	180/234/282	102	229	12	7	27%	6%	45	-2.7	140/192/219	79	174	11	2	27%	5%	13	-1.9
✕Donnie Sadler 2001 · MLB	26	46	44→45	50→55	47	226/280/340	114	258	11	13	18%	6%	75	-0.5	195/266/279	84	234	6	17	19%	8%	56	-1.9	208/282/308	100	273	4	16	23%	9%	66	-0.3
✕Abiatal Avelino 2021 · AAA	26	47→52	44→45	55	39	234/264/354	120	286	12	18	23%	4%	72	-0.7	228/281/335	107	277	10	17	21%	6%	74	-0.5	225/281/322	97	272	9	18	20%	6%	68	-0.5
✕Stephen Bruno 2018 · AAA	27	46→52	44→40	53→50	39	230/283/346	116	282	13	13	23%	4%	78	-0.3	215/272/315	100	261	10	11	21%	4%	67	-1.1	194/252/255	61	237	5	8	20%	3%	44	-1.4
✕Nick Allen 2023 · MLB	24	45→55	40	47→50	46	221/276/312	92	272	8	13	22%	7%	67	-1.1	238/296/328	90	284	8	16	18%	7%	78	-0.3	247/310/317	71	304	5	13	19%	8%	79	-0.1
✕Juan Carlos Perez 2014 · MLB	27	49→55	43→45	51→55	39	238/271/353	115	295	9	18	23%	4%	74	-0.5	229/265/352	123	284	11	17	23%	4%	72	-0.7	235/280/351	116	297	9	19	23%	5%	75	-0.3
✕Angel Chavez 2007 · MLB	26	47→53	45	52→50	40	236/266/359	123	282	12	12	22%	4%	74	-0.6	244/276/348	104	287	9	8	18%	4%	74	-0.5	242/294/319	77	283	8	6	17%	7%	72	-0.3
✕Felix Escalona 2005 · MLB	26	47	43→45	53→45	43	227/288/343	117	286	10	15	24%	6%	79	-0.2	228/290/342	114	271	11	6	20%	5%	80	-0.1	220/280/325	105	262	11	4	20%	4%	71	-0.5

Career Stats + Projections

Career Comps

Career Path Comps