Cam Maldonado — OGILVIE

Cam MaldonadoRF San Jose Giants

Age 22 R/R 6'2" / 199 lbs A HR -15%H -3% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION437 act + 9 ros · stats below = ROS only

showingROS

wRC+†86

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

PA9

HR0

K%33

BB%11

BABIP273

ISO154

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Tools · ContractCON 45 / POW 50

Toolsscout grade

CONTACT45

scouting grade only

POWER50

scouting grade only

EYE53

scouting grade only

SPEED60

scouting grade only

DEFENSE50

scouting grade only

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	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.4M	—	—	—
2035	Arb-2	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.2M	+$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	21	A	San Jose Giants	—	71	59	14	6	0	0	11	18	0	5	0	237	357	339	696	102	333	25	15	319	102	+0	+1	—	—	+2	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	San Jose Giants	—	71	63	11	4	0	0	7	25	0	5	0	175	257	238	495	63	275	35	10	230	42	-5	+1	—	—	+2	-0.2
2025	21	A MLE	San Jose Giants	—	71	63	11	4	0	0	7	25	0	5	0	175	257	238	495	63	282	35	10	230	42	—	—	—	—	—	—
2025	21	A RAW	San Jose Giants	—	71	59	14	6	0	0	11	18	0	5	0	237	357	339	696	102	333	25	15	319	42	—	—	—	—	—	—
2025	21	A MLE	San Jose Giants	—	71	64	11	4	0	0	7	25	0	5	0	172	257	234	492	62	275	35	10	230	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	San Jose Giants	—	71	64	11	4	0	0	7	25	0	5	0	172	257	234	492	62	275	35	10	230	42	—	—	—	—	—	—
YTD	22	A MLE	SF	—	437	393	80	13	4	18	31	155	5	22	6	204	270	394	665	191	272	35	7	286	80	-11	+2	+0	-5	+9	-0.4
▸ 2026 season
YTD	22	ROK RAW	SF	—	18	16	3	2	0	0	2	8	0	0	0	188	278	312	590	125	375	44	11	270	80	—	—	—	—	—	—
YTD	22	A RAW	SF	—	323	281	74	12	4	14	34	84	2	17	4	263	347	484	831	221	317	26	11	359	80	—	—	—	—	—	—
YTD	22	A+ RAW	SF	—	96	81	23	4	1	8	9	22	3	5	2	284	372	654	1.027	370	283	23	9	426	80	—	—	—	—	—	—
ROS	22	A MLE	SF	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		279	33	11	295	86	-0	+0	-0	-0	+0	-0.0
TOT	22	A MLE	SF	—	446	401	81	13	4	18	32	158	5	22	6	202	269	389	658	187	270	35	7	286	80	-11	+2	-0	-5	+10	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	SF	34%	472	429	94	17	3	17	36	140	4	12	3	219	286	392	677	172	280	30	8	301	90	-6	+1	-1	-5	+10	0.0
2028	24	MLB MLE	SF	46%	510	460	103	19	3	19	40	148	5	13	3	224	293	402	695	178	282	29	8	305	93	-5	+1	-1	-5	+11	0.2
2029	25	MLB MLE	SF	52%	539	486	110	20	3	20	43	154	5	13	3	226	296	403	699	177	283	29	8	307	94	-4	+1	-1	-6	+12	0.3
2030	26	MLB MLE	SF	54%	539	486	110	20	3	20	43	153	5	13	3	226	296	403	699	177	283	28	8	308	95	-3	+1	-1	-6	+12	0.3
2031	27	MLB MLE	SF	54%	534	481	109	20	3	20	43	152	5	13	3	227	297	405	702	179	283	28	8	308	95	-3	+1	-1	-6	+12	0.3
2032	28	MLB MLE	SF	54%	527	474	106	19	3	19	43	151	5	13	3	224	295	397	692	173	282	29	8	307	94	-4	+1	-1	-6	+11	0.2
2033	29	MLB MLE	SF	53%	519	466	104	19	3	19	43	150	5	12	3	223	296	399	695	176	281	29	8	305	93	-4	+1	-2	-6	+11	0.1
2034	30	MLB MLE	SF	52%	511	459	101	18	3	18	42	149	5	11	3	220	292	390	682	170	280	29	8	303	91	-5	+1	-3	-5	+11	-0.2
2035	31	MLB MLE	SF	56%	425	383	83	15	2	15	35	125	4	9	2	217	289	384	673	167	277	29	8	299	88	-6	+1	-3	-5	+9	-0.4
2027	23	MLB CTX	SF	34%	162	148	31	6	1	5	12	48	1	4	1	209	273	365	638	155	274	30	7	286	90	-2	+0	-0	-2	+4	0.0
2028	24	MLB CTX	SF	46%	235	213	46	8	2	8	18	68	2	6	2	216	283	385	668	169	276	29	8	290	93	-2	+0	-0	-3	+5	0.1
2029	25	MLB CTX	SF	52%	278	251	55	10	2	9	22	79	3	7	2	219	290	382	672	163	277	28	8	292	94	-2	+1	-0	-3	+6	0.1
2030	26	MLB CTX	SF	54%	292	264	58	10	2	10	23	83	3	7	2	220	290	386	676	167	277	28	8	293	95	-2	+1	-0	-3	+6	0.2
2031	27	MLB CTX	SF	54%	290	261	57	10	2	10	24	83	3	7	2	218	292	387	679	169	277	29	8	293	95	-2	+1	-0	-3	+6	0.2
2032	28	MLB CTX	SF	54%	286	258	57	10	2	10	23	82	3	7	2	221	292	391	684	171	276	29	8	292	94	-2	+1	-1	-3	+6	0.1
2033	29	MLB CTX	SF	53%	276	248	54	10	2	9	23	80	3	6	2	218	292	383	675	165	275	29	8	290	93	-2	+0	-1	-3	+6	0.0
2034	30	MLB CTX	SF	52%	268	242	52	9	2	9	22	78	2	6	2	215	286	380	666	165	274	29	8	288	91	-3	+0	-1	-3	+6	-0.1
2035	31	MLB CTX	SF	56%	240	216	45	8	1	8	20	71	2	5	1	208	282	366	647	157	271	30	8	284	88	-3	+1	-2	-3	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2327	2101	455	81	16	78	187	672	22	55	16	217	287	382	669	165	277	29	8	290	92	-20	+5	-6	-25	+50	0.4
/ 162G	—	A+C		—	650	587	127	23	4	22	52	188	6	15	4	216	287	382	668	165	276	29	8	290	92	-6	+1	-2	-7	+14	0.1
Career	—	MLE		—	4656	4195	932	171	26	167	376	1350	43	114	26	222	293	395	688	173	283	29	8	304	92	-40	+11	-12	-49	+99	1.0
/ 162G	—	MLE		—	650	586	130	24	4	23	52	188	6	16	4	222	292	394	686	172	282	29	8	304	92	-6	+2	-2	-7	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Scott 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
#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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.7	2,486	89	59	224	291	397	-16	+0	3.7	3.4
/162	664	24	16	-4.2	+0.0	1.0	pk7: 3
#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
#6John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	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
Cam Maldonado (OGILVIE)	22	45	50	60	53	212/279/381	169	279	6	6	31%	7%	86	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Phillip Ervin 2014 · A	22	47→51	48→50	54→55	46	237/301/379	142	295	16	14	25%	8%	93	+0.8	207/275/323	116	264	10	20	24%	7%	70	-0.9	235/299/371	136	298	13	21	24%	7%	86	+0.3
✕Aaron Luna 2009 · A	22	42→45	50	51→45	45	210/316/367	157	290	18	7	32%	8%	97	+1.1	216/320/366	150	270	16	7	25%	8%	98	+1.2	214/321/360	146	266	16	7	24%	8%	95	+0.6
●Zack Gelof 2022 · A	22	48→50	49→55	54→55	43	235/299/383	148	333	16	17	33%	8%	93	+0.8	233/296/404	171	326	21	20	33%	8%	97	+1.1	229/294/405	176	316	22	24	33%	8%	93	+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
✕Coby Mayo 2022 · A	20	48→45	49→60	55→45	47	241/312/393	152	305	17	13	26%	8%	99	+1.3	222/293/388	166	300	19	6	31%	8%	92	+0.7	216/298/397	181	285	21	4	30%	9%	93	+0.7
✕Ceddanne Rafaela 2023 · AA	22	46→55	49→55	58→55	37	233/270/393	160	293	16	19	27%	4%	84	+0.1	242/279/395	153	304	16	23	25%	4%	88	+0.4	253/291/409	156	303	17	19	22%	4%	93	+0.8
✕Rylan Bannon 2018 · A	22	46→44	50	51→50	44	235/298/388	153	288	19	8	25%	7%	94	+0.9	217/287/358	141	284	15	5	28%	8%	82	+0.0	191/289/327	136	253	16	12	29%	11%	75	-0.4
✕Brandon Meredith 2013 · A	23	47→40	50	52→45	43	233/300/394	161	312	17	11	30%	7%	95	+1.0	214/292/363	149	281	17	7	29%	9%	86	+0.3	199/283/343	144	256	17	5	28%	9%	75	-0.3
✕Ryan Cordell 2015 · A	23	52→43	48→50	56→50	44	256/307/406	151	318	15	16	24%	6%	100	+1.3	226/272/373	147	290	16	14	27%	5%	80	-0.2	215/261/363	148	274	17	14	28%	5%	71	-0.6
✕Drew Gilbert 2023 · A	22	48	47→50	53→45	48	239/297/376	137	271	15	16	18%	7%	90	+0.6	224/293/368	144	273	16	9	23%	7%	87	+0.4	210/294/357	148	242	16	5	20%	8%	82	+0.0
✕Chris Nelson 2008 · A	22	46→56	47→50	53→50	42	228/277/370	142	282	13	13	24%	6%	81	-0.1	229/282/356	127	285	12	12	23%	6%	80	-0.2	257/301/390	133	311	13	7	21%	5%	91	+0.5
✕Derek Fisher 2016 · A	22	43→50	50→55	55	42	218/282/367	149	303	18	18	33%	8%	82	+0.0	229/299/385	156	321	18	19	32%	8%	93	+0.8	225/302/403	177	309	23	18	33%	9%	95	+0.7
✕Seth Mejias-Brean 2013 · A	22	46→53	47→45	53→45	45	232/286/369	137	279	14	8	22%	6%	84	+0.1	238/300/344	106	300	9	5	22%	8%	83	+0.1	237/305/338	101	301	8	5	22%	8%	80	-0.1
✕Andy Burns 2013 · A	22	43→53	47→50	54→55	42	211/280/356	145	296	13	13	32%	7%	80	-0.2	234/282/362	128	290	11	16	22%	6%	80	-0.1	243/288/359	116	293	9	15	20%	5%	80	-0.1
✕Noelvi Marte 2023 · A	21	44→53	48→50	49→55	46	223/293/360	136	290	16	16	28%	8%	85	+0.2	236/289/364	128	302	14	19	25%	6%	84	+0.1	242/290/375	133	303	14	21	24%	5%	85	+0.1
●Ronny Simon 2022 · A	22	40→50	49→50	53→60	43	206/265/356	150	272	16	14	30%	7%	74	-0.6	220/270/357	137	283	15	22	27%	6%	75	-0.5	266/329/370	104	332	7	30	21%	8%	98	+0.9
✕Dustin Harris 2022 · A	23	51→54	51→50	55→60	46	257/314/415	157	302	19	16	22%	7%	105	+1.7	227/296/370	143	286	16	24	25%	8%	88	+0.5	236/302/353	118	292	12	34	22%	7%	84	+0.1
✕Juan Mora 2022 · A	22	46	44→45	55	46	225/303/346	121	300	11	14	27%	8%	86	+0.3	225/283/333	108	304	9	9	28%	5%	75	-0.5	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕Drew Avans 2019 · A	23	45→53	48→45	56→60	49	229/300/373	144	280	16	18	24%	8%	91	+0.6	227/285/347	120	317	11	22	30%	7%	78	-0.3	228/294/342	115	331	8	33	31%	8%	77	-0.2
✕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

Career Stats + Projections

Career Comps

Career Path Comps