Player 805182 — OGILVIE

Player 8051821B Fort Myers Mighty Mussels

Age — —/— A Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION93 act + 14 ros · stats below = ROS only

showingROS

wRC+†89

AVG/OBP/SLG.250 / .357 / .333

PA14

HR0

K%29

BB%14

BABIP296

ISO83

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M 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	$0.6M	—	—	—
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	MIN	—	93	78	17	4	3	2	13	30	1	3	2	218	337	423	760	205	319	32	14	330	109	+1	-0	+0	-2	+2	0.1
▸ 2026 season
YTD	—	A RAW	MIN	—	93	73	21	5	4	2	18	21	1	3	2	288	435	548	983	260	373	23	19	423	109	—	—	—	—	—	—
ROS	—	A MLE	MIN	0%	14	12	3	1	0	0	2	4	0	0	0	250	357	333	690	83	296	29	14	299	89	-0	+0	+0	-0	+0	-0.0
TOT	—	A MLE	MIN	—	107	90	20	5	3	2	15	34	1	3	2	222	340	411	751	189	327	32	14	326	107	+1	-0	+0	-2	+2	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	MIN	0%	217	190	40	8	3	4	23	64	2	4	1	211	302	347	650	137	295	29	11	301	90	-3	+0	+0	-4	+5	-0.1
2028	25	MLB MLE	MIN	0%	343	301	64	13	5	7	36	100	3	7	2	213	303	359	662	146	294	29	10	304	92	-3	+1	+0	-6	+7	-0.2
2029	25	MLB MLE	MIN	0%	428	376	83	17	6	10	45	123	4	8	3	221	311	378	688	157	294	29	11	305	93	-4	+0	+0	-8	+9	-0.2
2030	25	MLB MLE	MIN	0%	485	427	93	19	7	11	50	139	5	10	3	218	307	372	679	155	294	29	10	306	93	-4	+1	+0	-9	+11	-0.1
2031	25	MLB MLE	MIN	0%	525	460	100	20	7	12	55	150	5	10	3	217	308	370	677	152	293	29	10	306	94	-4	+1	+0	-9	+11	-0.1
2032	25	MLB MLE	MIN	0%	552	483	106	21	8	13	58	158	6	11	3	219	311	377	688	157	293	29	11	307	94	-4	+1	+0	-10	+12	-0.1
2033	25	MLB MLE	MIN	0%	572	501	110	22	8	14	60	163	6	11	4	220	310	379	690	160	293	28	10	307	94	-4	+1	+0	-10	+12	-0.1
2034	25	MLB MLE	MIN	0%	587	515	113	23	8	14	61	168	6	12	4	219	309	377	686	157	292	29	10	308	94	-4	+1	+0	-10	+13	-0.1
2027	25	MLB CTX	MIN	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	295	—	—	294	90	—	—	+0	-0	—	—
2028	25	MLB CTX	MIN	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	294	—	—	297	92	—	—	+0	-0	—	—
2029	25	MLB CTX	MIN	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	294	—	—	298	93	—	—	+0	-0	—	—
2030	25	MLB CTX	MIN	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	294	—	—	299	93	—	—	+0	-0	—	—
2031	25	MLB CTX	MIN	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	293	—	—	299	94	—	—	+0	-0	—	—
2032	25	MLB CTX	MIN	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	293	—	—	300	94	—	—	+0	-0	—	—
2033	25	MLB CTX	MIN	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	293	—	—	300	94	—	—	+0	-0	—	—
2034	25	MLB CTX	MIN	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	293	—	—	300	94	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3723	3265	712	144	52	85	390	1069	37	73	23	218	309	372	681	154	294	29	10	306	93	-30	+5	+0	-66	+81	-1.0
/ 162G	—	MLE		—	650	570	124	25	9	15	68	187	6	13	4	218	307	372	679	154	294	29	10	306	93	-5	+1	+0	-12	+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
#2Michael 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
#3Gregory 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.9	3,924	90	77	219	306	375	-44	+0	4.2	4.1
/162	664	15	13	-7.4	+0.0	0.7	pk7: 4
#4Dustin 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
#5Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
#6Travis Sniderlast yr '15 career totals — 8 seasons, 1,971 PA	3.0	1,971	54	22	244	311	399	-21	-17	1.4	1.8
/162	664	18	7	-7.1	-5.8	0.5	pk7: 2

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 805182 (OGILVIE)	25	—	—	—	—	209/302/359	150	296	4	5	30%	11%	89	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
●Reynaldo Rodriguez 2011 · A	25	44→46	45→55	50	47	216/293/342	126	269	11	11	23%	8%	81	-0.1	211/268/374	163	269	17	10	27%	6%	79	-0.2	233/278/405	172	262	21	11	20%	6%	88	+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
✕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
✕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
✕Mike Ahmed 2017 · A	25	44→45	45→50	47→50	44	215/284/339	124	297	13	11	31%	8%	76	-0.4	211/272/327	116	317	12	9	35%	7%	70	-0.9	200/257/300	100	312	9	7	37%	6%	55	-0.7
✕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
✕Sean Jamieson 2014 · A	25	43→45	43→45	50	44	212/278/331	119	279	10	12	27%	7%	72	-0.7	231/289/332	101	313	8	9	27%	6%	76	-0.4	234/293/322	88	321	6	7	27%	6%	72	-0.4
✕Kevin Watson Jr 2023 · A	24	45	46→50	56→50	47	212/305/344	132	321	13	13	35%	10%	86	+0.3	228/305/311	83	317	5	10	27%	9%	78	-0.3	243/324/290	48	330	0	8	24%	10%	79	-0.1
✕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
✕Richard Racobaldo 2010 · A	25	50→48	44→45	49→50	45	245/299/362	117	302	11	9	22%	6%	87	+0.4	226/282/318	92	319	6	8	29%	7%	70	-0.8	219/278/301	82	318	4	6	30%	7%	63	-1.1
✕Brian O'Grady 2017 · A	25	39→38	43→55	54→50	49	193/279/308	115	268	10	14	30%	10%	68	-1.0	200/271/341	141	275	15	14	31%	8%	72	-0.7	208/271/384	177	275	20	15	31%	7%	81	-0.0
✕Nic Crosta 2007 · A	24	49	47→55	49→45	45	236/304/381	145	326	13	6	30%	8%	94	+0.9	205/268/356	151	298	17	6	35%	7%	75	-0.5	147/211/314	167	194	24	1	39%	7%	44	-1.4
✕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
✕Cody Cipriano 2009 · A	24	40→48	45	55→45	46	199/274/329	130	265	11	12	28%	8%	71	-0.8	222/292/331	109	312	8	8	29%	8%	78	-0.3	229/303/334	105	320	7	7	28%	8%	81	-0.1
✕Michael Hollimon 2007 · A	25	45→48	47→50	56→50	46	220/292/374	154	309	13	11	31%	9%	87	+0.4	212/278/361	149	292	13	11	30%	8%	79	-0.2	202/270/353	151	274	14	10	30%	8%	72	-0.4
✕Kellen Strahm 2022 · A	25	49→54	45→40	53→60	45	227/303/352	125	344	12	10	35%	9%	86	+0.3	238/315/337	99	329	9	13	28%	10%	87	+0.4	238/316/326	88	324	7	16	26%	10%	83	+0.1
●Jonah Bride 2021 · A	25	46→50	42→50	50→45	42	221/289/326	105	298	10	5	28%	6%	76	-0.4	233/325/361	128	282	13	5	21%	10%	98	+1.2	244/343/391	147	285	16	3	19%	11%	108	+1.5
●Jonathan Rodríguez 2015 · AA	25	46→52	45→50	50	45	227/292/352	125	302	12	11	28%	8%	82	+0.0	235/297/353	118	315	13	7	28%	8%	84	+0.2	227/303/369	142	310	17	3	30%	9%	90	+0.4

Career Stats + Projections

Career Comps

Career Path Comps