Player 801489 — OGILVIE

Player 8014891B Tampa Tarpons

Age — —/— A HR +14% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION86 act + 13 ros · stats below = ROS only

showingROS

wRC+†97

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

PA13

HR0

K%31

BB%8

BABIP295

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	NYY	—	86	74	18	4	0	5	10	28	0	2	0	243	333	500	833	257	302	33	12	356	127	+3	+0	+0	-2	+2	0.4
▸ 2026 season
YTD	—	A RAW	NYY	—	86	71	22	5	0	6	13	20	0	2	0	310	417	634	1.050	324	340	23	15	441	127	—	—	—	—	—	—
ROS	—	A MLE	NYY	0%	13	12	3	1	0	0	1	4	0	0	0	250	308	333	641	83	292	31	8	312	97	-0	+0	+0	-0	+0	0.0
TOT	—	A MLE	NYY	—	99	86	21	5	0	5	11	32	0	2	0	244	330	477	807	233	314	32	11	350	123	+3	+0	+0	-2	+2	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	NYY	0%	217	194	45	9	1	8	20	63	1	4	1	232	307	412	719	180	293	29	9	313	98	-0	+0	+0	-4	+5	0.1
2028	25	MLB MLE	NYY	0%	343	306	70	14	1	12	32	98	2	6	1	229	306	399	705	170	292	29	9	314	99	-0	+1	+0	-6	+7	0.2
2029	25	MLB MLE	NYY	0%	428	382	87	17	2	15	40	121	3	8	2	228	306	401	706	173	292	28	9	315	99	-0	+1	+0	-8	+9	0.2
2030	25	MLB MLE	NYY	0%	485	434	100	20	2	17	45	137	3	9	2	230	307	403	710	173	292	28	9	315	99	-0	+1	+0	-9	+11	0.3
2031	25	MLB MLE	NYY	0%	525	467	108	21	2	19	49	148	4	10	2	231	310	407	716	176	291	28	9	315	99	-0	+1	+0	-9	+11	0.3
2032	25	MLB MLE	NYY	0%	552	492	113	22	2	20	51	156	4	10	2	230	307	404	712	175	291	28	9	315	99	-0	+1	+0	-10	+12	0.3
2033	25	MLB MLE	NYY	0%	572	510	116	23	2	20	53	161	4	11	2	227	305	398	703	171	291	28	9	315	100	-0	+1	+0	-10	+12	0.3
2034	25	MLB MLE	NYY	0%	587	523	120	24	2	21	55	166	4	11	3	229	308	403	711	174	290	28	9	315	100	-0	+1	+0	-10	+13	0.3
2027	25	MLB CTX	NYY	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	295	—	—	315	98	—	—	+0	-0	—	—
2028	25	MLB CTX	NYY	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	295	—	—	316	99	—	—	+0	-0	—	—
2029	25	MLB CTX	NYY	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	294	—	—	316	99	—	—	+0	-0	—	—
2030	25	MLB CTX	NYY	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	294	—	—	316	99	—	—	+0	-0	—	—
2031	25	MLB CTX	NYY	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	294	—	—	316	99	—	—	+0	-0	—	—
2032	25	MLB CTX	NYY	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	293	—	—	316	99	—	—	+0	-0	—	—
2033	25	MLB CTX	NYY	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	293	—	—	316	100	—	—	+0	-0	—	—
2034	25	MLB CTX	NYY	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	293	—	—	316	100	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3722	3320	762	151	14	132	346	1054	25	69	15	230	307	403	710	173	293	28	9	315	99	-3	+8	+0	-66	+81	1.9
/ 162G	—	MLE		—	650	580	132	26	2	23	60	184	4	12	3	228	304	398	702	171	290	28	9	315	99	-1	+1	+0	-12	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Duvalllast yr '24 career totals — 11 seasons, 3,723 PA	5.6	3,723	195	22	227	287	459	-31	+11	11.0	11.8
/162	664	35	4	-5.5	+2.0	2.0	pk7: 13
#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
#3Jeff Francoeurlast yr '16 career totals — 11 seasons, 5,633 PA	8.5	5,633	160	54	262	304	417	-60	-26	6.8	9.0
/162	664	19	6	-7.1	-3.1	0.8	pk7: 11
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.9	3,924	139	74	230	304	404	-44	+0	7.2	6.9
/162	664	23	13	-7.4	+0.0	1.2	pk7: 7
#4Scott Hairstonlast yr '14 career totals — 9 seasons, 2,624 PA	4.0	2,624	106	36	242	297	444	-18	-16	6.0	6.6
/162	664	27	9	-4.5	-4.1	1.5	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 801489 (OGILVIE)	25	—	—	—	—	224/300/398	174	292	8	4	30%	9%	97	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mac Williamson 2015 · A	25	49→50	54→55	51→45	42	250/313/428	179	316	22	10	28%	6%	108	+1.9	233/292/378	145	304	17	6	28%	6%	88	+0.5	212/278/376	164	272	23	5	31%	7%	81	-0.0
✕David Cook 2007 · A	26	39→49	51→55	49→50	47	207/285/367	161	269	19	10	30%	9%	84	+0.2	228/306/399	171	285	20	10	26%	10%	99	+1.2	231/311/411	181	277	21	10	24%	10%	102	+1.3
✕Casper Wells 2010 · AA	25	42→44	53→60	49→50	43	220/293/398	178	285	20	13	30%	7%	95	+0.9	224/292/410	186	287	21	9	29%	7%	97	+1.1	222/294/415	193	276	22	7	27%	8%	95	+0.6
✕Michael Carlin 2006 · A	25	48→46	52→60	52→45	41	245/305/418	173	309	20	7	27%	6%	103	+1.5	230/290/371	141	289	14	8	24%	6%	86	+0.3	230/286/374	144	283	14	8	23%	6%	86	+0.3
✕Andrew Brown 2010 · AA	25	46→47	50→60	47→40	44	236/299/393	157	300	19	3	27%	7%	95	+0.9	237/297/404	167	312	21	4	30%	7%	97	+1.1	231/296/414	183	303	22	4	30%	8%	99	+0.9
●David Villar 2022 · AA	25	43	51→60	48→40	40	221/287/380	159	306	19	6	33%	6%	88	+0.4	219/303/407	188	290	24	5	32%	9%	101	+1.4	208/297/390	182	274	24	3	32%	9%	92	+0.6
✕Jabari Blash 2014 · AA	25	41	50→60	46→50	44	205/288/359	154	303	18	11	36%	9%	84	+0.1	206/292/389	183	283	23	9	34%	9%	92	+0.7	198/312/392	194	297	25	6	38%	12%	98	+0.8
✕Jake Scheiner 2021 · A	25	44→52	50→55	44→40	41	228/277/380	152	286	17	6	27%	5%	83	+0.1	217/286/380	163	289	19	4	30%	8%	87	+0.4	208/286/375	167	269	21	3	30%	9%	85	+0.2
✕Joe Mather 2007 · A	25	42→45	49→60	53→50	40	216/267/368	152	270	16	7	26%	5%	78	-0.3	224/287/405	181	251	23	10	21%	6%	94	+0.9	216/284/406	190	230	25	11	20%	6%	91	+0.5
✕Ryan Roberts 2006 · AA	25	48→52	51→50	51→55	48	242/312/406	164	303	19	9	26%	9%	103	+1.5	232/295/362	130	297	13	8	25%	8%	86	+0.3	237/319/382	145	276	15	19	19%	10%	97	+0.9
✕Nate Freiman 2012 · A	25	46→51	50→55	48→30	42	237/286/391	154	288	17	3	24%	6%	89	+0.5	249/303/409	160	293	19	2	21%	6%	100	+1.3	251/311/415	164	293	20	0	21%	6%	102	+1.0
✕Andrew Young 2018 · A	24	45→46	49→55	50→40	40	227/294/375	148	298	16	7	29%	5%	89	+0.5	226/303/389	163	279	20	5	26%	6%	97	+1.1	219/300/401	182	282	23	3	30%	6%	95	+0.8
✕Brian Joynt 2009 · A	24	46	49→60	49→45	46	232/297/390	157	301	16	7	28%	8%	93	+0.8	215/262/345	130	301	14	8	32%	5%	70	-0.9	193/229/311	118	273	15	6	35%	4%	48	-1.5
✕Travis Vetters 2009 · A	25	47	49→65	49→45	36	234/277/386	152	311	16	6	30%	4%	85	+0.2	219/278/324	105	323	8	6	33%	6%	71	-0.8	187/266/260	74	303	3	0	36%	7%	51	-0.6
✕Andrés Chaparro 2023 · AA	24	44→49	54→55	47→40	46	231/301/411	180	284	22	6	27%	8%	100	+1.3	225/287/388	163	274	20	5	25%	7%	89	+0.5	235/306/419	184	277	23	3	24%	8%	101	+1.0
✕Brett Harris 2023 · AA	25	48→52	50→45	47→50	47	243/307/397	154	289	18	11	23%	7%	99	+1.3	237/314/361	124	288	13	10	21%	8%	93	+0.8	231/315/345	114	280	12	10	21%	9%	87	+0.3
✕Alex Frazier 2006 · A	25	42→39	52→55	44→45	44	220/295/384	164	279	20	6	28%	8%	92	+0.7	209/262/332	123	281	14	5	30%	5%	67	-1.1	188/226/290	102	254	12	1	30%	3%	42	-1.7
✕Jason Fransz 2006 · A	25	48	54→60	48→40	41	248/297/431	183	293	22	5	24%	5%	103	+1.6	224/279/392	168	279	22	4	28%	5%	88	+0.4	202/261/371	168	245	24	1	29%	5%	74	-0.5
✕Jonel Pacheco 2008 · A	25	49→55	50	47→50	43	248/288/402	154	284	18	12	20%	5%	93	+0.8	251/292/380	129	307	14	12	22%	5%	88	+0.5	251/291/358	108	308	12	11	22%	5%	81	-0.1
✕Russ Canzler 2011 · AA	25	44→54	50→55	43→45	44	227/284/387	160	287	17	7	27%	7%	88	+0.4	233/292/378	145	306	15	4	27%	7%	88	+0.5	228/287/359	131	298	13	2	27%	7%	80	-0.1

Career Stats + Projections

Career Comps

Career Path Comps