C.J. Pittaro — OGILVIE

C.J. PittaroSS Lansing Lugnuts

Age 24 L/R 6'1" / 204 lbs A+ HR -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION354 act + 9 ros · stats below = ROS only

showingROS

wRC+†53

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP270

ISO49

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 40 / POW 25

Toolsscout grade

CONTACT40

scouting grade only

POWER25

scouting grade only

EYE50

scouting grade only

SPEED40

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-2M	+$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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2025	23	A+	Lansing Lugnuts	—	90	85	15	0	1	0	5	23	0	1	0	176	222	200	422	24	242	26	6	197	20	-9	+0	—	—	+2	-0.7
2025	23	A	Stockton Ports	—	413	350	86	16	4	1	52	85	10	6	3	246	359	323	682	77	321	21	13	318	102	+1	+0	—	—	+9	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	23	A+ MLE	Lansing Lugnuts	—	90	87	12	0	1	0	3	32	0	1	0	138	167	161	328	23	212	36	3	144	-16	-12	+0	—	—	+2	-1.1
2025	23	A MLE	Stockton Ports	—	413	366	77	13	3	1	36	113	10	6	3	210	299	270	569	60	296	27	9	257	60	-20	+0	—	—	+9	-1.1
2025	23	A MLE	2 teams	—	503	453	88	13	3	1	39	145	10	7	3	194	273	243	516	49	282	29	8	237	46	—	—	—	—	—	—
2025	23	A RAW	2 teams	—	503	435	101	16	5	1	57	108	10	7	3	232	335	299	634	67	306	21	11	297	46	—	—	—	—	—	—
2025	23	A MLE	2 teams	—	503	449	88	13	3	1	39	145	10	7	3	196	273	245	518	49	281	29	8	237	46	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	23	A MLE	2 teams	—	503	449	88	13	3	1	39	145	10	7	3	196	273	245	518	49	281	29	8	237	46	—	—	—	—	—	—
YTD	24	A+ MLE	OAK	—	354	308	61	5	0	1	35	78	6	1	3	198	292	224	516	26	259	22	10	240	49	-22	-1	+0	+4	+8	-1.1
▸ 2026 season
YTD	24	A+ RAW	OAK	—	354	293	64	6	0	1	50	58	6	1	3	218	344	249	593	31	266	16	14	284	49	—	—	—	—	—	—
ROS	24	A+ MLE	OAK	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		266	22	11	247	53	-0	+0	+0	+0	+0	-0.0
TOT	24	A+ MLE	OAK	—	363	316	62	5	0	1	36	80	6	1	3	196	291	222	512	25	256	22	10	240	49	-22	-1	+0	+4	+8	-1.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	OAK	30%	370	328	68	9	1	3	34	87	5	3	3	207	292	268	560	61	270	24	9	262	64	-16	-1	+0	+4	+8	-0.5
2028	26	MLB MLE	OAK	44%	407	360	76	10	1	5	38	95	6	4	3	211	297	286	583	75	272	23	9	271	70	-15	-0	+0	+4	+9	-0.2
2029	27	MLB MLE	OAK	49%	420	372	80	11	1	6	39	98	6	4	4	215	300	298	598	83	273	23	9	274	72	-14	-1	+0	+4	+9	-0.1
2030	28	MLB MLE	OAK	52%	425	376	80	11	1	6	40	100	6	5	4	213	299	295	594	82	273	24	9	275	72	-14	-1	-1	+5	+9	-0.2
2031	29	MLB MLE	OAK	56%	420	371	78	11	1	5	40	100	6	5	4	210	297	286	583	75	272	24	10	273	71	-15	-1	-1	+4	+9	-0.3
2032	30	MLB MLE	OAK	59%	414	366	77	11	1	5	39	99	6	5	4	210	297	287	584	77	271	24	9	270	69	-15	-1	-2	+4	+9	-0.5
2027	25	MLB CTX	OAK	30%	112	99	21	3	0	1	10	26	2	1	1	212	297	273	570	61	274	23	9	255	64	-5	-0	+0	+1	+2	-0.1
2028	26	MLB CTX	OAK	44%	180	158	35	5	1	2	17	42	3	2	1	222	309	304	613	82	276	23	9	264	70	-6	+0	+0	+2	+4	-0.1
2029	27	MLB CTX	OAK	49%	206	182	40	6	1	3	19	48	3	2	2	220	304	313	617	93	277	23	9	267	72	-7	-0	+0	+2	+4	-0.1
2030	28	MLB CTX	OAK	52%	219	193	42	6	1	3	21	52	3	2	2	218	304	306	610	88	278	24	10	267	72	-7	-0	-0	+2	+5	-0.1
2031	29	MLB CTX	OAK	56%	234	207	44	6	1	3	22	56	3	3	2	213	297	295	592	82	277	24	9	266	71	-8	-0	-1	+3	+5	-0.2
2032	30	MLB CTX	OAK	59%	243	215	47	7	1	3	23	58	3	3	2	219	303	302	605	84	276	24	9	263	69	-9	-0	-1	+3	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1194	1054	229	33	5	15	112	282	17	13	10	217	303	301	603	83	280	24	9	264	66	-43	-1	-2	+13	+26	-0.8
/ 162G	—	A+C		—	650	574	125	18	3	8	61	154	9	7	5	218	303	301	604	84	282	24	9	264	66	-23	-1	-1	+7	+14	-0.4
Career	—	MLE		—	2968	2634	548	76	9	31	270	726	45	33	25	208	293	279	572	71	274	24	9	265	66	-89	-4	-4	+26	+53	-1.7
/ 162G	—	MLE		—	650	577	121	17	2	7	59	159	10	7	5	210	294	282	577	73	275	24	9	265	66	-23	-1	-1	+7	+14	-0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.8	1,196	15	13	213	295	292	+13	+9	0.1	0.1
/162	664	8	7	+7.1	+5.0	0.0	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
C.J. Pittaro (OGILVIE)	24	40	25	40	50	197/283/235	38	266	1	2	24%	9%	53	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Damon Dues 2022 · A	24	45	36→30	44→60	44	206/284/271	66	312	3	7	32%	8%	61	-1.5	225/315/289	64	328	2	23	28%	11%	77	-0.3	235/335/293	59	336	1	37	27%	13%	81	-0.0
✕Seth Dhaenens 2008 · A	24	47	34→30	37→30	41	220/269/276	55	305	2	6	27%	6%	55	-1.9	205/260/269	64	293	3	6	29%	6%	51	-2.3	158/219/180	22	229	0	4	29%	7%	13	-1.4
✕Alex Perez 2017 · A	24	46	34→30	46→40	49	211/284/260	49	289	1	5	26%	9%	58	-1.7	217/284/264	47	305	1	4	26%	8%	59	-1.7	215/283/251	35	303	0	2	27%	8%	54	-1.3
✕Sean McCraw 2010 · A	24	43	36→30	44→30	48	200/280/269	69	282	4	4	28%	9%	59	-1.6	199/266/282	83	276	6	4	28%	8%	57	-1.8	182/249/255	74	248	6	1	27%	7%	41	-0.9
✕Dallas Poulk 2012 · A	24	47	35→30	45→50	47	220/280/285	66	293	1	10	24%	8%	62	-1.4	203/272/275	72	297	3	8	30%	8%	57	-1.8	176/255/235	59	268	3	6	32%	9%	40	-1.9
✕Branden Cogswell 2017 · A	24	45→46	35→30	48→45	46	212/276/272	60	293	3	7	27%	8%	57	-1.8	227/283/292	65	303	2	8	24%	7%	64	-1.3	235/290/283	48	310	0	5	22%	7%	61	-0.9
✕Ron Bourquin 2009 · A	24	43→46	36→45	42→45	48	201/276/269	68	280	4	6	28%	9%	57	-1.8	213/284/312	99	309	7	6	31%	9%	70	-0.8	214/285/320	105	311	7	5	31%	8%	73	-0.5
✕Bryan Johns 2013 · A	24	44	35→30	43→45	49	203/282/267	64	282	2	7	26%	9%	59	-1.6	201/270/283	82	287	6	8	30%	7%	59	-1.7	152/218/211	59	220	7	5	32%	5%	22	-1.1
✕Jake Thomas 2017 · A	24	43	37→30	48→50	45	201/269/273	72	281	4	7	28%	8%	55	-1.9	213/302/287	74	322	3	9	31%	11%	72	-0.7	209/322/267	58	327	1	10	31%	14%	73	-0.4
✕Norberto Obeso 2019 · A	24	44→42	37→30	47→45	50	209/274/276	67	253	4	8	19%	8%	58	-1.7	209/270/286	77	278	4	8	24%	7%	58	-1.7	201/264/269	68	275	1	5	25%	8%	50	-1.2
✕Adam Melker 2012 · A	24	47	35→40	46→50	44	214/279/276	62	303	2	11	28%	7%	60	-1.6	233/281/320	87	300	8	10	24%	6%	70	-0.8	240/284/327	87	299	9	11	22%	5%	70	-0.5
✕Adam Weisenburger 2013 · AA	24	43	36→40	43→30	46	202/277/267	66	268	4	5	25%	8%	58	-1.7	217/296/304	87	281	6	4	23%	8%	74	-0.6	216/301/298	83	274	6	2	21%	8%	72	-0.3
✕Carlos Sepulveda 2021 · A	24	45	34→30	49→45	47	211/274/263	53	280	2	12	24%	8%	55	-2.0	210/278/281	71	273	4	7	23%	8%	61	-1.5	191/263/253	62	248	4	3	23%	8%	46	-1.3
✕Forrestt Allday 2015 · A	24	49→48	37→30	44→50	45	227/298/306	79	312	3	8	26%	7%	74	-0.5	232/308/292	60	298	3	10	21%	8%	75	-0.5	239/320/278	39	297	2	12	18%	9%	75	-0.2
✕Tony Wolters 2016 · AA	24	44→54	37→40	43→45	43	209/268/277	67	281	4	6	26%	6%	55	-1.9	215/292/302	87	281	5	6	23%	9%	72	-0.7	226/305/294	68	292	4	1	22%	8%	70	-0.4
✕Mark Haske 2007 · A	24	46	34→30	42→45	50	217/280/264	47	265	3	8	19%	8%	57	-1.8	204/271/268	64	281	5	8	27%	8%	55	-1.9	179/254/225	46	256	4	6	29%	9%	38	-2.0
✕Shawn Roof 2009 · AA	24	48	34→30	41→50	46	220/288/270	50	286	2	7	22%	7%	62	-1.4	234/288/290	56	306	2	13	23%	5%	66	-1.1	245/294/293	48	320	1	17	22%	5%	65	-0.5
✕Cole Daily 2021 · A	24	43	36→30	43→55	44	206/261/267	61	274	3	10	25%	6%	51	-2.3	197/265/257	60	297	3	14	31%	8%	51	-2.3	177/254/217	40	277	1	18	33%	9%	34	-1.2
✕Zach Gentile 2011 · A	24	48	34→30	45	51	219/280/274	55	257	2	6	15%	7%	59	-1.6	226/286/283	57	280	2	7	19%	7%	63	-1.3	235/296/275	40	297	0	6	19%	6%	62	-0.6
✕Michael DeJesus 2007 · A	24	46→51	36→30	48→45	51	215/285/274	59	269	4	9	21%	9%	61	-1.5	230/306/297	67	283	4	6	18%	10%	75	-0.5	234/316/295	62	284	4	4	17%	10%	76	-0.3

Career Stats + Projections

Career Comps

Career Path Comps