Cameron Decker — OGILVIE

Cameron DeckerSS Great Lakes Loons

Age 22 R/R 6'1" / 205 lbs A+ HR +8%BB -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION218 act + 22 ros · stats below = ROS only

showingROS

wRC+†53

AVG/OBP/SLG.150 / .227 / .200

PA22

HR0

K%41

BB%9

BABIP253

ISO50

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$6M ctrl surplus

Tools · ContractCON 20 / POW 40

Toolsscout grade

CONTACT20

scouting grade only

POWER40

scouting grade only

EYE50

scouting grade only

SPEED45

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	Arb-1	$3M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.7M	+$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)
2023	19	A	Rancho Cucamonga Quakes	—	74	64	13	3	3	0	9	23	0	3	0	203	301	344	645	141	310	31	12	288	81	-2	+1	—	—	+2	0.1
2024	20	A	Rancho Cucamonga Quakes	—	270	228	57	20	3	12	36	91	5	0	1	250	364	522	886	272	357	34	13	386	147	+15	-0	—	—	+6	2.1
2024	20	ROK	ACL Dodgers	—	80	61	16	3	1	4	14	20	2	1	1	262	416	541	957	279	300	25	18	403	159	+6	-0	—	—	+2	0.7
2025	21	A+	Great Lakes Loons	—	180	148	22	6	0	5	22	54	5	3	1	149	277	291	567	142	185	30	12	262	63	-8	+0	—	—	+4	-0.4
2025	21	A	Rancho Cucamonga Quakes	—	25	20	5	1	0	0	3	5	1	0	1	250	375	300	675	50	312	20	12	309	95	-0	-0	—	—	+1	0.0
2025	21	ROK	ACL Dodgers	—	44	38	6	2	0	1	4	15	1	0	0	158	256	289	545	132	217	34	9	247	54	-2	+0	—	—	+1	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	19	A MLE	Rancho Cucamonga Quakes	—	74	66	10	2	2	0	7	32	0	3	0	152	233	242	475	91	277	43	9	217	33	-6	+1	—	—	+2	-0.4
2024	20	A MLE	Rancho Cucamonga Quakes	—	270	237	38	13	2	8	27	126	5	0	1	160	260	333	594	173	281	47	10	262	63	-12	-0	—	—	+6	-0.6
2024	20	ROK MLE	ACL Dodgers	—	80	67	13	2	1	3	8	29	2	1	1	194	299	388	687	194	230	36	10	297	87	-1	-0	—	—	+2	0.0
2025	21	A+ MLE	Great Lakes Loons	—	180	157	18	5	0	4	15	74	5	3	1	115	215	223	438	108	157	41	8	196	19	-17	+0	—	—	+4	-1.4
2025	21	A MLE	Rancho Cucamonga Quakes	—	25	21	5	1	0	0	2	7	1	0	1	238	333	286	619	48	275	28	8	262	63	-1	-0	—	—	+1	-0.1
2025	21	ROK MLE	ACL Dodgers	—	44	39	4	1	0	1	3	22	1	0	0	103	186	205	391	103	160	50	7	150	-12	-6	+0	—	—	+1	-0.5
2023	19	A MLE	Rancho Cucamonga Quakes	—	74	66	10	2	2	0	7	32	0	3	0	152	233	242	475	91	286	43	9	217	33	—	—	—	—	—	—
2023	19	A RAW	Rancho Cucamonga Quakes	—	74	64	13	3	3	0	9	23	0	3	0	203	301	344	645	141	310	31	12	288	33	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	350	304	51	15	3	12	35	156	7	1	2	168	269	355	624	188	279	45	10	270	69	—	—	—	—	—	—
2024	20	A RAW	2 teams	—	350	289	73	23	4	16	50	111	7	1	2	253	376	526	902	273	343	32	14	390	69	—	—	—	—	—	—
2025	21	A+ MLE	3 teams	—	249	217	25	7	0	4	20	103	7	3	2	115	213	203	416	88	183	41	8	194	18	—	—	—	—	—	—
2025	21	A+ RAW	3 teams	—	249	206	33	9	0	6	29	74	7	3	2	160	283	291	574	131	206	30	12	264	18	—	—	—	—	—	—
2023	19	A MLE	Rancho Cucamonga Quakes	—	74	67	10	2	2	0	7	32	0	3	0	149	233	239	472	90	277	43	9	217	33	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	350	305	51	15	3	12	35	156	7	1	2	167	269	354	623	187	269	45	10	270	69	—	—	—	—	—	—
2025	21	A+ MLE	3 teams	—	249	220	25	7	0	4	20	103	7	3	2	114	213	200	413	86	169	41	8	194	18	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	Rancho Cucamonga Quakes	—	74	67	10	2	2	0	7	32	0	3	0	149	233	239	472	90	277	43	9	217	33	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	350	305	51	15	3	12	35	156	7	1	2	167	269	354	623	187	269	45	10	270	69	—	—	—	—	—	—
2025	21	A+ MLE	3 teams	—	249	220	25	7	0	4	20	103	7	3	2	114	213	200	413	86	169	41	8	194	18	—	—	—	—	—	—
YTD	22	A+ MLE	LAD	—	218	192	30	8	1	4	18	93	4	6	2	156	243	271	514	115	263	43	8	225	39	-16	+0	+0	+2	+5	-0.9
▸ 2026 season
YTD	22	ROK RAW	LAD	—	37	30	5	3	0	1	4	11	1	0	0	167	270	367	637	200	222	30	11	280	39	—	—	—	—	—	—
YTD	22	A+ RAW	LAD	—	181	150	33	8	1	4	22	57	3	6	2	220	328	367	694	147	312	31	12	309	39	—	—	—	—	—	—
ROS	22	A+ MLE	LAD	0%	22	20	3	1	0	0	2	9	0	0	0	150	227	200	427	50	258	41	9	246	53	-1	+0	+0	+0	+0	-0.1
TOT	22	A+ MLE	LAD	—	240	212	33	9	1	4	20	102	4	6	2	156	242	264	506	108	264	42	8	227	40	-17	+0	+0	+3	+5	-0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	LAD	35%	290	259	45	11	1	7	25	108	4	4	2	174	257	305	562	131	260	37	9	256	59	-14	+0	+0	+3	+6	-0.5
2028	24	MLB MLE	LAD	46%	374	332	60	14	2	9	33	134	6	6	2	181	267	316	583	136	264	36	9	265	65	-15	+0	+0	+4	+8	-0.3
2029	25	MLB MLE	LAD	52%	421	375	69	16	2	11	37	147	6	6	2	184	268	325	593	141	266	35	9	270	69	-16	+0	+0	+5	+9	-0.2
2030	26	MLB MLE	LAD	54%	451	401	74	17	2	12	40	156	7	7	3	185	270	327	597	142	267	35	9	272	70	-16	+0	+0	+5	+10	-0.1
2031	27	MLB MLE	LAD	54%	463	411	76	18	2	12	42	161	7	7	3	185	272	326	598	141	266	35	9	272	70	-16	+0	+0	+5	+10	-0.1
2032	28	MLB MLE	LAD	54%	466	413	76	18	2	12	43	163	7	7	3	184	272	324	597	140	266	35	9	271	70	-17	+0	-1	+5	+10	-0.2
2033	29	MLB MLE	LAD	53%	461	409	76	18	2	12	42	162	7	7	3	186	273	328	601	142	265	35	9	270	69	-17	+0	-1	+5	+10	-0.4
2027	23	MLB CTX	LAD	35%	100	89	15	4	0	2	9	37	2	1	1	169	260	281	541	112	256	37	9	244	59	-5	-0	+0	+1	+2	-0.2
2028	24	MLB CTX	LAD	46%	173	153	28	7	1	4	15	62	3	3	1	183	269	320	589	137	260	36	9	253	65	-7	+0	+0	+2	+4	-0.1
2029	25	MLB CTX	LAD	52%	218	194	36	8	1	6	19	76	3	3	1	186	269	330	598	144	262	35	9	258	69	-8	+0	+0	+2	+5	-0.1
2030	26	MLB CTX	LAD	54%	245	217	40	9	1	7	22	85	4	4	1	184	272	332	603	147	262	35	9	260	70	-9	+0	+0	+3	+5	-0.0
2031	27	MLB CTX	LAD	54%	251	222	41	9	1	7	23	87	4	4	1	185	273	329	602	144	262	35	9	260	70	-9	+0	+0	+3	+5	-0.0
2032	28	MLB CTX	LAD	54%	253	224	41	9	1	7	23	88	4	4	1	183	271	326	597	143	262	35	9	260	70	-9	+0	-0	+3	+5	-0.1
2033	29	MLB CTX	LAD	53%	245	216	40	9	1	7	23	86	4	4	1	185	276	333	609	148	261	35	9	258	69	-9	+0	-1	+3	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1485	1315	241	55	6	40	134	521	24	23	7	183	271	325	596	142	264	35	9	257	64	-56	+2	-1	+16	+32	-0.7
/ 162G	—	A+C		—	650	576	106	24	3	18	59	228	11	10	3	184	273	330	603	146	264	35	9	257	64	-24	+1	-0	+7	+14	-0.3
Career	—	MLE		—	3621	3207	565	137	18	91	326	1331	58	51	22	176	264	315	580	139	262	37	9	263	64	-113	+2	-2	+32	+64	-1.8
/ 162G	—	MLE		—	650	576	101	25	3	16	59	239	10	9	4	175	264	312	576	137	262	37	9	263	64	-25	+0	-0	+7	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Sandy 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
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#4Adam 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
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.2	1,485	38	23	185	268	325	+16	+9	0.2	0.2
/162	664	17	10	+7.1	+4.0	0.1	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
Cameron Decker (OGILVIE)	22	20	40	45	50	162/249/284	122	258	5	4	39%	9%	53	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Marcus Greene Jr. 2017 · A	22	34	46→50	44→40	39	181/247/307	126	264	15	5	36%	7%	56	-1.9	209/267/324	115	285	12	4	30%	7%	67	-1.1	208/268/318	109	276	12	2	28%	7%	64	-0.6
✕Kevin Padlo 2018 · A	22	36→40	45→50	44→50	47	182/268/311	128	259	12	8	33%	10%	65	-1.2	195/278/338	143	287	14	9	35%	9%	75	-0.5	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕Joe DeCarlo 2016 · A	22	36→38	42→50	44→30	43	178/268/281	103	279	10	3	37%	9%	59	-1.7	196/278/333	137	279	16	3	34%	8%	74	-0.5	193/274/341	148	264	18	1	32%	8%	71	-0.5
✕Blake Hunt 2022 · AA	23	35	43→45	49→40	39	180/241/289	109	274	11	4	37%	7%	49	-2.4	201/257/318	117	274	12	4	30%	6%	62	-1.4	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Kendall Simmons 2023 · A	23	36	47→50	49→50	38	188/254/321	133	272	15	10	35%	6%	62	-1.4	207/272/348	141	302	15	9	35%	6%	75	-0.5	202/267/346	145	293	16	7	35%	6%	71	-0.3
✕Alex Lavisky 2013 · A	22	37	44→45	46→30	35	188/234/296	108	279	12	3	36%	5%	48	-2.5	203/248/298	95	269	10	3	27%	5%	53	-2.1	195/239/272	77	244	8	1	23%	4%	42	-1.0
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	174/222/255	81	277	7	4	39%	5%	34	-3.5	184/241/265	81	306	8	5	40%	6%	44	-2.8	141/191/216	75	260	9	0	47%	5%	11	-1.0
✕Sherten Apostel 2020 · A	21	38→34	47→50	45→40	44	195/269/325	130	273	16	4	33%	8%	68	-1.0	202/265/327	125	312	14	4	37%	7%	67	-1.1	200/262/331	131	310	15	0	38%	6%	63	-0.6
✕Caleb Hamilton 2018 · A	23	35	42→45	44→45	46	175/265/284	109	271	9	5	36%	10%	58	-1.7	184/252/283	99	266	8	7	31%	8%	52	-2.2	141/235/256	115	206	16	3	39%	10%	39	-1.0
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Tyler Kolodny 2010 · A	22	40→36	43→45	49→50	41	200/271/316	116	273	11	8	30%	6%	67	-1.1	208/282/338	130	278	13	10	29%	6%	76	-0.4	207/287/352	145	264	16	10	27%	6%	79	-0.1
✕Sammy Infante 2023 · A	22	33→25	46→50	48→55	34	170/235/295	125	285	15	10	44%	6%	49	-2.4	189/255/283	94	308	8	16	39%	6%	53	-2.1	180/249/253	73	294	5	20	38%	6%	42	-1.3
✕Jacob Heyward 2018 · A	22	40	44→45	44→50	40	196/267/309	113	301	11	8	37%	7%	64	-1.3	197/281/314	117	297	12	10	35%	9%	71	-0.8	181/276/311	130	263	15	9	35%	10%	66	-0.8
✕Steven Baron 2012 · A	21	34	39→45	45→50	36	172/216/255	83	252	7	7	34%	5%	31	-3.7	189/226/284	95	266	6	9	30%	4%	41	-3.0	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Rudy van Heydoorn 2010 · A	21	33	41→45	40→50	41	166/249/256	90	260	9	8	37%	8%	46	-2.6	199/274/309	110	312	10	5	36%	8%	67	-1.1	204/303/338	134	292	14	2	32%	11%	85	+0.1
✕Rodolfo Castro 2021 · A	22	37→41	48→55	46→50	35	195/236/334	139	275	15	6	35%	5%	57	-1.8	212/267/368	156	279	19	8	31%	6%	78	-0.3	206/269/359	153	269	19	7	30%	7%	74	-0.4
✕Carson Blair 2013 · A	23	35	42→50	43→30	38	176/239/285	109	279	9	6	39%	7%	47	-2.5	200/272/335	135	323	12	4	38%	9%	72	-0.7	196/274/342	145	318	14	1	39%	9%	71	-0.4
✕Daniel Berg 2007 · A	22	37	42→40	44→40	41	186/254/294	107	267	9	4	32%	7%	55	-1.9	194/262/277	83	296	6	4	34%	7%	55	-2.0	187/259/259	72	291	5	2	35%	7%	46	-1.3
✕Payton Henry 2018 · A	21	39→31	42→45	46→30	38	189/254/293	104	302	8	3	38%	7%	55	-1.9	184/249/284	100	318	10	2	43%	6%	51	-2.2	242/289/361	119	320	16	1	29%	4%	79	-0.1
✕Will Banfield 2022 · A	22	32→37	40→45	48→30	34	164/217/255	91	263	8	4	40%	6%	32	-3.7	193/231/313	120	266	14	3	32%	4%	51	-2.3	193/233/284	91	269	10	0	31%	4%	42	-1.5

Career Stats + Projections

Career Comps

Career Path Comps