Player 800606 — OGILVIE

Player 8006061B Rancho Cucamonga Quakes

Age — —/— A K +5%HR +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION107 act + 16 ros · stats below = ROS only

showingROS

wRC+†95

AVG/OBP/SLG.267 / .312 / .533

PA16

HR0

K%31

BB%6

BABIP298

ISO267

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	LAA	—	107	96	24	4	1	7	9	39	2	13	1	250	327	531	858	281	340	36	8	348	122	+3	+2	+0	-2	+2	0.5
▸ 2026 season
YTD	—	A RAW	LAA	—	107	92	28	5	1	8	13	29	2	13	1	304	402	641	1.043	337	364	27	12	448	122	—	—	—	—	—	—
ROS	—	A MLE	LAA	0%	16	15	4	1	0	1	1	5	0	1	0	267	312	533	846	267	299	31	6	309	95	-0	+0	+0	-0	+0	0.0
TOT	—	A MLE	LAA	—	123	111	28	5	1	8	10	44	2	14	1	252	325	532	857	279	339	36	8	343	118	+3	+2	+0	-2	+3	0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	LAA	0%	290	263	59	10	2	11	22	90	3	11	1	224	292	403	695	179	295	31	8	308	95	-2	+2	+0	-5	+6	0.1
2028	25	MLB MLE	LAA	0%	392	354	80	14	3	14	30	119	5	15	2	226	296	401	697	175	295	30	8	309	95	-2	+2	+0	-7	+8	0.2
2029	25	MLB MLE	LAA	0%	460	416	95	17	3	17	36	137	5	17	2	228	298	406	704	178	294	30	8	310	96	-2	+3	+0	-8	+10	0.2
2030	25	MLB MLE	LAA	0%	506	455	103	18	3	18	40	150	6	19	2	226	297	398	695	171	294	30	8	311	96	-2	+3	+0	-9	+11	0.3
2031	25	MLB MLE	LAA	0%	538	485	110	19	3	20	42	160	6	20	2	227	296	402	698	175	293	30	8	311	96	-2	+3	+0	-10	+12	0.3
2032	25	MLB MLE	LAA	0%	561	505	116	20	4	21	44	166	7	21	2	230	300	410	710	180	293	30	8	311	96	-2	+3	+0	-10	+12	0.3
2033	25	MLB MLE	LAA	0%	578	520	119	21	4	21	46	171	7	21	2	229	300	406	706	177	293	30	8	311	96	-2	+3	+0	-10	+13	0.3
2034	25	MLB MLE	LAA	0%	590	531	121	21	4	22	47	175	7	22	2	228	299	407	706	179	292	30	8	311	97	-2	+4	+0	-11	+13	0.3
2027	25	MLB CTX	LAA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	295	—	—	300	95	—	—	+0	-0	—	—
2028	25	MLB CTX	LAA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	294	—	—	301	95	—	—	+0	-0	—	—
2029	25	MLB CTX	LAA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	294	—	—	302	96	—	—	+0	-0	—	—
2030	25	MLB CTX	LAA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	293	—	—	303	96	—	—	+0	-0	—	—
2031	25	MLB CTX	LAA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	293	—	—	303	96	—	—	+0	-0	—	—
2032	25	MLB CTX	LAA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	293	—	—	303	96	—	—	+0	-0	—	—
2033	25	MLB CTX	LAA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	292	—	—	303	96	—	—	+0	-0	—	—
2034	25	MLB CTX	LAA	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	292	—	—	303	97	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3931	3544	807	141	26	145	308	1173	46	147	15	228	298	405	703	177	295	30	8	310	96	-18	+23	+0	-70	+85	2.1
/ 162G	—	MLE		—	650	586	133	23	4	24	51	194	8	24	2	227	298	403	700	176	294	30	8	310	96	-3	+4	+0	-12	+14	0.3

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
#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
#4Will 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.3	4,203	152	156	228	295	403	-47	+0	7.7	7.3
/162	664	24	25	-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 800606 (OGILVIE)	25	—	—	—	—	223/291/403	179	299	11	15	32%	7%	95	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Terry Evans 2007 · AA	25	45→52	51→55	53→55	38	231/285/389	157	311	20	20	32%	5%	89	+0.5	236/279/383	147	328	16	21	32%	5%	84	+0.2	230/270/375	145	320	15	23	32%	5%	77	-0.2
✕Cade Marlowe 2022 · A	25	41→51	55	54→60	41	213/277/403	190	304	22	15	36%	8%	89	+0.5	221/290/371	150	324	17	31	35%	8%	86	+0.3	216/288/335	118	322	10	41	34%	8%	76	-0.3
✕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
●Steven Souza Jr. 2014 · AA	25	45→55	52→60	51→55	44	230/297/399	170	302	19	19	30%	8%	96	+1.0	251/321/425	174	332	21	20	29%	9%	110	+2.1	235/325/427	192	317	26	14	32%	11%	111	+1.8
✕Jonny DeLuca 2022 · A	24	40→37	53→60	56→55	45	216/275/390	173	253	21	15	24%	7%	85	+0.2	224/289/407	183	256	22	16	22%	7%	95	+0.9	221/290/400	179	249	21	19	21%	7%	91	+0.4
✕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
✕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
✕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
✕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
✕Zach Kokoska 2023 · A	24	43	50→55	56→55	42	220/284/372	152	280	18	16	28%	6%	84	+0.2	197/264/361	164	273	20	17	35%	6%	75	-0.5	170/241/333	163	239	21	19	38%	6%	58	-0.9
✕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
✕Brewer Hicklen 2021 · A	25	44→52	47→50	56→60	35	212/273/347	135	330	16	25	39%	6%	75	-0.5	201/276/348	147	314	17	32	39%	8%	77	-0.3	212/288/361	150	295	19	38	33%	7%	82	-0.0
✕Joey Wiemer 2022 · A	23	45→44	54→55	54→55	45	235/308/409	174	306	23	19	30%	8%	102	+1.5	211/280/354	143	291	16	19	31%	8%	79	-0.2	197/270/324	127	275	13	20	32%	8%	66	-0.8
●James Outman 2022 · AA	25	41→51	49→55	54→50	42	207/285/359	152	304	17	16	36%	8%	82	-0.0	231/317/417	186	329	22	14	34%	10%	107	+1.9	227/320/420	193	316	24	14	33%	10%	108	+1.7
●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
✕Ryan Cordell 2017 · AA	25	44→43	49→50	53→50	40	228/272/378	150	285	17	14	27%	5%	81	-0.1	209/257/340	131	278	14	13	29%	5%	66	-1.1	196/248/317	122	264	13	13	30%	6%	56	-0.9
✕Jose Siri 2019 · AA	24	40→50	48→60	59→55	34	206/244/355	149	297	15	22	36%	4%	65	-1.2	211/255/338	127	328	13	23	38%	5%	65	-1.2	233/280/442	210	319	27	25	35%	5%	98	+0.8
●Dominic Canzone 2022 · AA	24	47→53	48→60	55→50	43	235/292/378	143	307	16	19	28%	7%	88	+0.5	245/298/420	175	291	21	12	23%	7%	101	+1.4	251/314/447	196	293	26	5	24%	8%	110	+1.4
✕Eli Iorg 2008 · A	25	45→50	47→50	59→55	37	226/266/369	143	303	14	24	30%	4%	76	-0.4	229/264/344	115	313	10	17	29%	4%	69	-0.9	240/270/352	112	320	10	19	28%	3%	70	-0.7
✕Tim Tawa 2022 · A	23	45→44	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	211/273/334	123	271	14	11	27%	7%	72	-0.7	224/287/394	170	271	21	14	25%	7%	89	+0.4

Career Stats + Projections

Career Comps

Career Path Comps