Player 805225 — OGILVIE

Player 8052251B Lake Elsinore Storm

Age — —/— A HR +5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION98 act + 14 ros · stats below = ROS only

showingROS

wRC+†81

AVG/OBP/SLG.231 / .286 / .308

PA14

HR0

K%29

BB%7

BABIP282

ISO77

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	$0.2M	—	—	—
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	SD	—	98	88	19	5	0	3	9	25	1	7	2	216	296	375	671	159	267	26	9	280	76	-3	+1	+0	-2	+2	-0.2
▸ 2026 season
YTD	—	A RAW	SD	—	98	84	21	6	0	3	13	19	1	7	2	250	357	429	786	179	290	19	13	353	76	—	—	—	—	—	—
ROS	—	A MLE	SD	0%	14	13	3	1	0	0	1	4	0	0	0	231	286	308	593	77	286	29	7	287	81	-0	+0	+0	-0	+0	-0.0
TOT	—	A MLE	SD	—	112	101	22	6	0	3	10	29	1	7	2	218	295	366	661	149	275	26	9	281	76	-3	+1	+0	-2	+2	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	SD	0%	217	195	43	9	1	5	18	59	2	5	1	221	293	354	647	133	284	27	8	289	82	-5	+1	+0	-4	+5	-0.3
2028	25	MLB MLE	SD	0%	343	308	67	14	1	8	29	92	3	8	2	218	291	347	639	130	284	27	8	292	84	-7	+1	+0	-6	+7	-0.5
2029	25	MLB MLE	SD	0%	428	385	86	18	2	11	36	114	4	10	2	223	296	366	663	143	284	27	8	294	85	-8	+1	+0	-8	+9	-0.5
2030	25	MLB MLE	SD	0%	485	436	97	20	2	12	41	129	5	12	2	222	297	360	657	138	284	27	8	295	86	-8	+2	+0	-9	+11	-0.5
2031	25	MLB MLE	SD	0%	525	471	105	22	2	13	44	139	5	13	3	223	296	361	657	138	284	26	8	295	86	-9	+1	+0	-9	+11	-0.5
2032	25	MLB MLE	SD	0%	552	496	110	23	2	14	46	147	5	13	3	222	294	361	655	139	284	27	8	296	86	-9	+1	+0	-10	+12	-0.6
2033	25	MLB MLE	SD	0%	572	513	115	24	2	15	48	152	6	14	3	224	298	366	665	142	283	27	8	296	86	-9	+2	+0	-10	+12	-0.6
2034	25	MLB MLE	SD	0%	587	526	116	24	2	15	50	156	6	14	3	221	296	359	655	139	283	27	9	296	87	-9	+2	+0	-10	+13	-0.6
2027	25	MLB CTX	SD	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	281	82	—	—	+0	-0	—	—
2028	25	MLB CTX	SD	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	284	84	—	—	+0	-0	—	—
2029	25	MLB CTX	SD	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	286	85	—	—	+0	-0	—	—
2030	25	MLB CTX	SD	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	287	86	—	—	+0	-0	—	—
2031	25	MLB CTX	SD	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	287	86	—	—	+0	-0	—	—
2032	25	MLB CTX	SD	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	288	86	—	—	+0	-0	—	—
2033	25	MLB CTX	SD	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	280	—	—	288	86	—	—	+0	-0	—	—
2034	25	MLB CTX	SD	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	280	—	—	288	87	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3723	3343	742	155	14	93	313	992	36	89	19	222	296	360	656	138	285	27	8	295	86	-64	+10	+0	-66	+81	-4.0
/ 162G	—	MLE		—	650	584	129	27	2	16	55	173	6	16	3	221	295	356	651	135	284	27	8	295	86	-11	+2	+0	-12	+14	-0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Gregory 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
#3Dustin 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
#4Chris 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
#5Nate Schierholtzlast yr '14 career totals — 8 seasons, 2,275 PA	3.4	2,275	52	30	253	302	405	-24	-6	2.0	2.8
/162	664	15	9	-7.1	-1.8	0.6	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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.9	3,924	98	95	223	293	363	-44	+0	1.2	1.2
/162	664	17	16	-7.4	+0.0	0.2	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
Player 805225 (OGILVIE)	25	—	—	—	—	216/288/347	131	286	5	7	28%	8%	81	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕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
✕Barrett Barnes 2015 · A	24	43→52	44→45	51→50	43	213/277/330	117	286	12	14	29%	7%	72	-0.7	227/293/347	120	297	10	12	26%	7%	82	-0.0	229/296/349	120	303	9	12	26%	7%	81	-0.0
✕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
●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
✕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
✕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
✕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
✕Jerad Head 2008 · A	25	41→44	44→50	49→50	41	207/274/331	124	262	11	9	25%	5%	72	-0.7	222/279/361	139	277	13	10	24%	5%	80	-0.1	229/282/384	155	280	16	9	24%	4%	84	+0.1
✕Kyle Petty 2016 · A	25	45→50	42→50	53→50	39	221/265/325	104	304	10	11	30%	5%	65	-1.2	233/292/345	112	331	11	9	31%	7%	80	-0.1	238/302/353	114	340	11	8	31%	7%	84	+0.1
✕Stefan Trosclair 2018 · A	24	43→42	47→50	50	44	216/290/351	135	288	15	9	29%	7%	82	+0.0	215/279/343	128	302	13	7	32%	6%	76	-0.4	203/266/330	127	288	14	4	33%	5%	67	-0.8
✕Jose Pineda 2007 · A	25	42→40	43→45	50→45	43	208/278/319	111	295	11	10	32%	8%	70	-0.8	219/274/365	146	305	17	7	33%	6%	79	-0.2	215/264/384	170	287	22	3	33%	5%	77	-0.3
✕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
✕Chris Colton 2007 · A	24	44→48	43→55	47→50	41	218/265/329	111	284	11	14	27%	6%	67	-1.1	225/280/359	134	289	13	10	26%	7%	80	-0.2	236/296/445	209	274	23	5	23%	8%	105	+0.5
✕Ka'ai Tom 2018 · A	24	45→48	43→50	52→50	46	220/282/340	120	279	10	15	24%	7%	76	-0.4	228/291/380	152	293	15	10	26%	7%	88	+0.5	214/288/369	154	277	16	7	28%	7%	83	+0.1
✕Jackson Brennan 2008 · A	25	44→42	42→45	47→50	47	211/303/316	105	285	9	10	27%	8%	80	-0.2	211/299/300	89	300	7	10	29%	9%	74	-0.5	171/289/188	17	273	0	6	32%	12%	44	-0.5
✕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
✕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
✕Corey Julks 2022 · AA	26	45→51	45→50	50→55	42	224/276/352	127	299	12	14	29%	6%	76	-0.4	227/288/378	151	288	18	19	27%	7%	87	+0.4	221/289/367	146	276	17	21	26%	8%	82	+0.0

Career Stats + Projections

Career Comps

Career Path Comps