Player 813314 — OGILVIE

Player 8133141B Fayetteville Woodpeckers

Age — —/— A HR -6% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION97 act + 13 ros · stats below = ROS only

showingROS

wRC+†94

AVG/OBP/SLG.250 / .308 / .333

PA13

HR0

K%31

BB%8

BABIP303

ISO83

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus

Tools · Contract

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	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$1M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	—	A MLE	HOU	—	97	86	22	6	1	3	8	28	3	8	2	256	340	453	794	198	345	29	8	353	125	+3	+1	+0	-2	+2	0.4
▸ 2026 season
YTD	—	A RAW	HOU	—	97	81	27	8	1	4	13	20	3	8	2	333	443	605	1.048	272	404	21	13	455	125	—	—	—	—	—	—
ROS	—	A MLE	HOU	0%	13	12	3	1	0	0	1	4	0	1	0	250	308	333	641	83	301	31	8	308	94	-0	+0	+0	-0	+0	0.0
TOT	—	A MLE	HOU	—	110	98	25	7	1	3	9	32	3	9	2	255	336	439	775	184	349	29	8	348	121	+3	+1	+0	-2	+2	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	HOU	0%	217	194	46	10	2	6	17	58	4	7	1	237	312	402	714	165	300	27	8	310	96	-1	+1	+0	-4	+5	0.1
2028	25	MLB MLE	HOU	0%	343	307	72	16	2	9	27	90	6	11	2	235	309	388	696	153	299	26	8	311	97	-1	+1	+0	-6	+7	0.1
2029	25	MLB MLE	HOU	0%	428	384	90	19	3	12	34	112	7	14	3	234	308	393	701	159	298	26	8	312	97	-1	+2	+0	-8	+9	0.2
2030	25	MLB MLE	HOU	0%	485	436	102	22	3	13	38	126	8	16	3	234	307	388	695	154	298	26	8	313	98	-1	+2	+0	-9	+11	0.3
2031	25	MLB MLE	HOU	0%	525	470	111	24	3	15	42	136	8	17	3	236	310	396	705	160	298	26	8	313	98	-1	+2	+0	-9	+11	0.3
2032	25	MLB MLE	HOU	0%	552	494	117	25	4	15	44	143	9	18	3	237	311	395	706	158	297	26	8	313	98	-1	+2	+0	-10	+12	0.3
2033	25	MLB MLE	HOU	0%	572	512	121	26	4	16	46	149	9	18	3	236	310	396	707	160	297	26	8	313	98	-1	+2	+0	-10	+12	0.3
2034	25	MLB MLE	HOU	0%	587	525	124	27	4	16	47	153	10	19	3	236	311	394	705	158	297	26	8	313	98	-1	+3	+0	-10	+13	0.4
2027	25	MLB CTX	HOU	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	302	—	—	298	96	—	—	+0	-0	—	—
2028	25	MLB CTX	HOU	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	301	—	—	300	97	—	—	+0	-0	—	—
2029	25	MLB CTX	HOU	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	301	—	—	301	97	—	—	+0	-0	—	—
2030	25	MLB CTX	HOU	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	300	—	—	301	98	—	—	+0	-0	—	—
2031	25	MLB CTX	HOU	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	300	—	—	301	98	—	—	+0	-0	—	—
2032	25	MLB CTX	HOU	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	300	—	—	301	98	—	—	+0	-0	—	—
2033	25	MLB CTX	HOU	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	299	—	—	301	98	—	—	+0	-0	—	—
2034	25	MLB CTX	HOU	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	299	—	—	302	98	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3722	3334	786	170	25	102	296	971	61	121	21	236	310	394	703	158	300	26	8	313	98	-10	+16	+0	-66	+81	2.0
/ 162G	—	MLE		—	650	582	137	30	4	18	52	170	11	21	4	235	310	393	704	158	300	26	8	313	98	-2	+3	+0	-12	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Wil Myerslast yr '23 career totals — 11 seasons, 4,290 PA	6.5	4,290	156	107	252	326	437	-47	-45	10.7	10.8
/162	664	24	17	-7.3	-6.9	1.7	pk7: 11
#2Kole 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
#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
#4Desmond 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 9 projected seasons	5.9	3,924	107	125	236	306	394	-44	+0	7.2	7.0
/162	664	18	21	-7.4	+0.0	1.2	pk7: 7
#5Michael 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
#6Gregory 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

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
Player 813314 (OGILVIE)	25	—	—	—	—	230/302/382	152	301	5	9	27%	8%	94	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jonathan Davis 2017 · A	25	42→52	46→45	55	45	207/293/340	133	287	12	21	30%	8%	81	-0.1	221/300/334	113	289	9	19	25%	8%	82	-0.0	221/304/328	106	311	9	22	29%	9%	79	-0.1
●Rafael Lantigua 2022 · A	24	45→55	45	53→55	45	223/287/353	130	295	13	20	28%	8%	81	-0.1	247/317/352	105	324	8	18	24%	9%	91	+0.7	251/326/344	93	326	6	18	23%	9%	90	+0.5
✕Kyle Datres 2021 · A	25	42	47→50	52→55	42	211/281/355	143	283	14	15	30%	7%	80	-0.2	210/290/349	139	286	16	22	31%	8%	82	-0.0	203/288/338	135	274	17	27	31%	9%	77	-0.2
✕Dylan Moore 2017 · A	24	44→48	44→50	54→65	47	216/295/339	123	274	11	23	24%	8%	81	-0.1	209/275/329	120	265	11	18	25%	7%	71	-0.8	207/330/379	172	285	16	41	30%	12%	101	+0.7
✕Daniel Carbonell 2015 · A	24	50→53	45→50	55	42	247/292/377	130	307	13	18	24%	5%	88	+0.4	212/250/306	94	281	8	15	27%	4%	56	-1.9	243/288/376	132	309	13	21	25%	5%	84	+0.1
✕Scott Heineman 2017 · A	24	48→55	45	51→50	43	234/300/367	133	315	12	17	28%	7%	89	+0.5	244/302/363	119	329	11	14	27%	6%	88	+0.5	250/311/378	128	324	14	16	26%	6%	92	+0.4
✕Alex Castellanos 2012 · AA	25	47→51	49→55	53→50	38	235/287/394	159	315	15	13	30%	5%	91	+0.6	219/284/373	154	298	16	16	31%	6%	84	+0.2	207/266/345	139	303	13	8	34%	6%	69	-0.5
✕Keon Broxton 2015 · AA	25	45→50	47→55	54→60	39	221/274/361	141	315	15	16	34%	6%	78	-0.3	228/296/382	154	343	15	32	35%	8%	91	+0.6	224/300/388	164	339	17	38	36%	9%	92	+0.6
✕Jared Triolo 2022 · A	24	50→60	44→45	51→55	42	242/292/364	122	316	12	18	26%	6%	85	+0.2	242/313/351	109	326	9	18	26%	9%	90	+0.6	235/321/349	114	313	11	17	26%	10%	90	+0.5
✕Cole Gillespie 2009 · AA	25	48→58	46→50	52→50	51	235/314/374	138	296	12	13	24%	10%	96	+1.0	230/305/366	136	293	11	15	24%	9%	91	+0.6	235/308/364	128	292	11	15	22%	8%	89	+0.4
✕Brett Harris 2022 · A	24	44→52	44→45	49→50	43	218/288/335	117	294	12	11	29%	7%	78	-0.3	241/313/376	135	292	15	10	22%	8%	96	+1.0	238/318/367	129	288	14	9	21%	8%	93	+0.6
✕Drew Ferguson 2017 · AA	24	49→50	45	53→55	44	240/306/370	130	319	12	21	28%	7%	92	+0.7	238/315/349	111	322	10	18	27%	9%	91	+0.6	235/320/338	103	319	9	20	27%	9%	87	+0.2
✕Collin Cowgill 2011 · AA	25	50→59	44→50	52→55	47	244/305/372	128	292	10	16	20%	7%	91	+0.7	252/307/373	121	310	11	20	21%	7%	93	+0.8	252/306/370	118	313	12	21	22%	7%	87	+0.3
✕Anthony Norman 2010 · A	25	45→42	47→50	60→55	50	223/302/368	145	266	13	19	22%	8%	90	+0.6	211/279/321	110	284	8	11	27%	7%	70	-0.8	206/275/315	109	281	7	9	27%	7%	67	-0.3
✕Steve Selsky 2013 · A	24	50→52	48→45	53→45	40	246/297/391	145	317	15	11	27%	5%	93	+0.8	239/303/348	109	328	10	8	28%	7%	86	+0.3	249/317/346	97	354	7	4	29%	7%	89	+0.3
✕Luis Santana 2023 · A	24	45	45	48→50	43	224/290/348	124	291	13	11	27%	6%	81	-0.1	210/266/326	116	267	13	7	26%	5%	68	-1.0	191/245/302	111	237	14	5	25%	5%	51	-1.2
✕Taylor Featherston 2014 · A	24	46→47	47→50	53→50	40	230/281/371	141	304	14	12	28%	5%	82	+0.0	215/260/346	131	279	13	11	27%	4%	69	-0.9	204/249/331	127	261	12	11	26%	4%	59	-1.1
✕Mario Lisson 2008 · A	24	47→49	42→50	52→55	43	226/287/335	108	297	9	19	26%	6%	76	-0.4	206/252/317	111	266	11	17	26%	5%	59	-1.6	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕DJ Stewart 2018 · AA	24	46→48	47→55	52→50	49	232/305/370	139	284	15	16	24%	8%	92	+0.7	221/298/372	151	270	17	11	24%	9%	91	+0.6	208/314/396	188	250	26	2	28%	11%	99	+0.6
✕Jeremy Rathjen 2015 · A	25	43→40	47→45	51→50	44	216/284/353	137	278	15	14	27%	7%	80	-0.1	204/259/329	125	276	13	9	30%	6%	65	-1.2	161/210/268	107	215	12	5	31%	5%	29	-1.6

Career Stats + Projections

Career Comps

Career Path Comps