Cam Collier — OGILVIE

Cam Collier3B Chattanooga Lookouts

Age 21 L/R 6'1" / 210 lbs AA HR +16%BB +6% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION571 act + 10 ros · stats below = ROS only

showingROS

wRC+†52

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP243

ISO105

MLB%2%

Value2026 · WAR

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

Tools · ContractCON 48 / POW 58

Toolsscout grade

CONTACT48

scouting grade only

POWER58

scouting grade only

EYE48

scouting grade only

SPEED37

scouting grade only

DEFENSE45

scouting grade only

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	—	—	—
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2030	Arb-1	$1M	+0.2	$0.6M	+$0.0M (cut)
2031	Arb-2	$3M	+0.3	$0.8M	+$0.0M (cut)
2032	Arb-3	$4M	+0.3	$0.8M	+$0.0M (cut)
Totals		$0.0M		$1M	+$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)
2022	17	ROK	ACL Reds	—	35	27	10	1	0	2	7	6	1	0	2	370	514	630	1.144	259	421	17	20	497	223	+5	-1	—	—	+1	0.5
2023	18	A	Daytona Tortugas	—	461	390	96	21	2	6	57	106	8	5	1	246	354	356	710	110	317	23	12	323	105	+3	+1	—	—	+10	1.4
2024	19	A+	Dayton Dragons	—	507	427	106	21	1	20	66	127	8	2	1	248	359	443	802	194	301	25	13	355	126	+16	+0	—	—	+11	2.8
2025	20	AA	Chattanooga Lookouts	—	308	259	68	16	0	2	45	86	3	0	1	263	378	347	725	85	384	28	15	336	114	+5	-0	—	—	+7	1.2
2025	20	A+	Dayton Dragons	—	46	41	12	2	0	1	5	10	0	0	0	293	370	415	784	122	367	22	11	354	126	+1	+0	—	—	+1	0.2
2025	20	ROK	ACL Reds	—	42	33	13	3	1	1	9	8	0	1	0	394	524	636	1.160	242	500	19	21	502	226	+6	+0	—	—	+1	0.8
2025	20	INTL	Peoria Javelinas	—	95	77	17	5	0	1	16	24	2	1	1	221	368	325	693	104	308	25	17	327	108	+1	-0	—	—	+2	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	ACL Reds	—	35	30	9	1	0	2	4	9	1	0	2	300	400	533	933	233	325	26	11	368	135	+1	-1	—	—	+1	0.1
2023	18	A MLE	Daytona Tortugas	—	461	405	81	18	1	5	42	150	8	5	1	200	288	286	574	86	290	33	9	260	62	-21	+1	—	—	+10	-1.0
2024	19	A+ MLE	Dayton Dragons	—	507	446	85	18	1	12	47	170	8	2	1	191	279	316	596	126	263	34	9	265	65	-21	+0	—	—	+11	-1.0
2025	20	AA MLE	Chattanooga Lookouts	—	308	277	64	13	0	2	27	104	3	0	1	231	306	300	606	69	359	34	9	273	71	-11	-0	—	—	+7	-0.4
2025	20	A+ MLE	Dayton Dragons	—	46	42	11	2	0	1	4	14	0	0	0	262	326	381	707	119	333	30	9	277	74	-1	+0	—	—	+1	-0.0
2025	20	ROK MLE	ACL Reds	—	42	36	10	2	1	1	6	11	0	1	0	278	381	472	853	194	377	26	14	346	120	+1	+0	—	—	+1	0.2
2022	17	ROK MLE	ACL Reds	—	35	30	9	1	0	2	4	9	1	0	2	300	400	533	933	233	368	26	11	368	135	—	—	—	—	—	—
2022	17	ROK RAW	ACL Reds	—	35	27	10	1	0	2	7	6	1	0	2	370	514	630	1.144	259	421	17	20	497	135	—	—	—	—	—	—
2023	18	A MLE	Daytona Tortugas	—	461	405	81	18	1	5	42	150	8	5	1	200	288	286	574	86	297	33	9	260	62	—	—	—	—	—	—
2023	18	A RAW	Daytona Tortugas	—	461	390	96	21	2	6	57	106	8	5	1	246	354	356	710	110	317	23	12	323	62	—	—	—	—	—	—
2024	19	A+ MLE	Dayton Dragons	—	507	446	85	18	1	12	47	170	8	2	1	191	279	316	596	126	270	34	9	265	65	—	—	—	—	—	—
2024	19	A+ RAW	Dayton Dragons	—	507	427	106	21	1	20	66	127	8	2	1	248	359	443	802	194	301	25	13	355	65	—	—	—	—	—	—
2025	20	AA MLE	4 teams	—	491	439	105	21	1	4	46	160	5	2	2	239	318	319	637	80	366	33	9	281	76	—	—	—	—	—	—
2025	20	AA RAW	4 teams	—	491	410	110	26	1	5	75	128	5	2	2	268	388	373	761	105	378	26	15	350	76	—	—	—	—	—	—
2022	17	ROK MLE	ACL Reds	—	35	30	9	1	0	2	4	9	1	0	2	300	400	533	933	233	325	26	11	368	135	—	—	—	—	—	—
2023	18	A MLE	Daytona Tortugas	—	461	408	81	18	1	5	42	150	8	5	1	199	288	284	572	86	290	33	9	260	62	—	—	—	—	—	—
2024	19	A+ MLE	Dayton Dragons	—	507	447	85	18	1	12	47	170	8	2	1	190	279	315	595	125	263	34	9	265	65	—	—	—	—	—	—
2025	20	AA MLE	4 teams	—	491	437	105	21	1	4	46	160	5	2	2	240	318	320	639	80	358	33	9	281	76	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	A MLE	Daytona Tortugas	—	461	408	81	18	1	5	42	150	8	5	1	199	288	284	572	86	290	33	9	260	62	—	—	—	—	—	—
2024	19	A+ MLE	Dayton Dragons	—	507	447	85	18	1	12	47	170	8	2	1	190	279	315	595	125	263	34	9	265	65	—	—	—	—	—	—
2025	20	AA MLE	4 teams	—	491	437	105	21	1	4	46	160	5	2	2	240	318	320	639	80	358	33	9	281	76	—	—	—	—	—	—
YTD	21	AA MLE	CIN	—	571	524	92	22	1	14	34	182	9	1	0	176	238	302	540	126	235	32	6	234	45	-38	+0	+0	+2	+12	-2.4
▸ 2026 season
YTD	21	AA RAW	CIN	—	571	509	105	26	1	18	49	149	9	1	0	206	287	367	655	161	251	26	9	293	45	—	—	—	—	—	—
ROS	21	AA MLE	CIN	2%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		240	30	10	245	52	-1	+0	-0	+0	+0	-0.0
TOT	21	AA MLE	CIN	—	581	533	93	22	1	14	35	185	9	1	0	174	237	298	536	124	234	32	6	234	45	-38	+0	-0	+2	+13	-2.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	CIN	35%	485	442	84	18	1	14	34	142	6	1	0	190	257	330	588	140	245	29	7	265	66	-20	+0	-1	+2	+11	-0.9
2028	23	MLB MLE	CIN	49%	529	479	95	20	1	17	39	150	6	1	0	198	267	351	618	152	250	28	7	280	76	-15	+0	-1	+2	+11	-0.3
2029	24	MLB MLE	CIN	53%	557	503	105	22	1	20	42	155	7	1	0	209	279	376	655	167	253	28	8	290	82	-12	+0	-1	+2	+12	0.1
2030	25	MLB MLE	CIN	55%	572	516	109	22	1	22	44	157	7	1	0	211	282	386	668	174	254	27	8	295	86	-10	+0	-1	+2	+12	0.4
2031	26	MLB MLE	CIN	56%	579	522	109	22	1	22	45	159	7	1	0	209	280	381	662	172	254	27	8	297	87	-9	+0	-1	+2	+13	0.5
2032	27	MLB MLE	CIN	55%	579	522	109	22	1	22	45	159	7	1	0	209	280	381	662	172	254	27	8	298	88	-9	+0	-1	+2	+13	0.5
2033	28	MLB MLE	CIN	55%	574	516	108	22	1	22	46	159	7	1	0	209	283	384	667	174	253	28	8	296	87	-9	+0	-2	+2	+12	0.4
2034	29	MLB MLE	CIN	53%	564	507	105	21	1	21	45	157	7	1	0	207	281	377	658	170	252	28	8	295	85	-10	+0	-3	+2	+12	0.2
2035	30	MLB MLE	CIN	53%	553	497	103	21	1	21	44	155	7	1	0	207	281	380	661	173	251	28	8	292	84	-11	+0	-3	+2	+12	-0.0
2036	31	MLB MLE	CIN	52%	539	485	99	20	1	20	43	153	6	1	0	204	277	373	650	169	248	28	8	287	81	-12	+0	-4	+2	+12	-0.3
2027	22	MLB CTX	CIN	35%	171	155	30	7	0	5	12	50	2	0	0	194	260	335	596	142	248	29	7	262	66	-7	+0	-0	+1	+4	-0.3
2028	23	MLB CTX	CIN	49%	258	234	48	10	1	9	19	73	3	1	0	205	273	372	645	167	253	28	7	278	76	-7	+0	-1	+1	+6	-0.1
2029	24	MLB CTX	CIN	53%	295	267	57	12	1	11	22	82	4	1	0	213	283	390	673	176	257	28	7	288	82	-6	+0	-1	+1	+6	0.1
2030	25	MLB CTX	CIN	55%	313	282	61	12	1	13	24	86	4	1	0	216	287	404	691	188	258	27	8	294	86	-5	+0	-1	+1	+7	0.2
2031	26	MLB CTX	CIN	56%	322	290	63	13	1	13	25	88	4	1	0	217	288	403	692	186	258	27	8	296	87	-5	+0	-1	+1	+7	0.3
2032	27	MLB CTX	CIN	55%	319	287	62	13	1	13	25	88	4	1	0	216	288	404	692	188	258	28	8	296	88	-5	+0	-1	+1	+7	0.3
2033	28	MLB CTX	CIN	55%	314	282	61	12	1	13	25	87	4	1	0	216	289	404	694	188	257	28	8	295	87	-5	+0	-1	+1	+7	0.2
2034	29	MLB CTX	CIN	53%	301	270	58	12	1	12	24	84	4	1	0	215	289	400	689	185	256	28	8	293	85	-5	+0	-2	+1	+7	0.1
2035	30	MLB CTX	CIN	53%	291	262	55	11	0	12	23	82	4	1	0	210	284	389	673	179	254	28	8	290	84	-6	+0	-2	+1	+6	-0.0
2036	31	MLB CTX	CIN	52%	281	254	52	11	0	11	22	80	3	0	0	205	276	378	654	173	251	28	8	286	81	-6	+0	-2	+1	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2865	2583	547	113	7	112	221	800	36	8	0	212	283	391	674	179	258	28	8	290	80	-58	+2	-11	+10	+62	0.5
/ 162G	—	A+C		—	650	586	124	26	2	25	50	182	8	2	0	212	282	391	673	179	259	28	8	290	80	-13	+0	-2	+2	+14	0.1
Career	—	MLE		—	7035	6318	1307	268	13	224	567	2038	89	19	6	207	281	360	641	153	264	29	8	286	80	-117	+2	-21	+20	+120	0.4
/ 162G	—	MLE		—	650	584	121	25	1	21	52	188	8	2	1	207	281	361	642	154	264	29	8	286	80	-14	+0	-2	+2	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#2Danny 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
#3Luis Valbuenalast yr '18 career totals — 10 seasons, 3,527 PA	5.3	3,527	113	10	226	311	395	+13	+1	10.5	11.2
/162	664	21	2	+2.4	+0.1	2.0	pk7: 12
#4Maikel Francolast yr '22 career totals — 9 seasons, 3,573 PA	5.4	3,573	130	5	244	293	414	+13	-5	9.3	9.6
/162	664	24	1	+2.4	-1.0	1.7	pk7: 10
#5Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
#6J.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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	4.3	2,870	105	6	208	276	377	+10	-10	3.1	3.1
/162	664	24	1	+2.4	-2.2	0.7	pk7: 3

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 Collier (OGILVIE)	21	44→48	51→58	40→37	48	177/244/293	116	240	7	1	31%	7%	52	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Parker Meadows 2021 · A	21	39→47	41→55	46→55	42	195/250/286	91	268	9	9	30%	6%	51	-2.2	201/262/331	130	269	14	13	29%	7%	67	-1.1	222/289/387	165	276	18	21	26%	8%	87	+0.4
✕Blake DeWitt 2007 · AA	21	46→55	45→50	42→40	44	229/275/350	121	275	14	4	22%	6%	76	-0.4	241/292/372	131	277	13	4	18%	6%	86	+0.3	245/319/368	123	281	10	3	16%	9%	88	+0.4
✕Andrew Lambo 2010 · AA	21	47→49	45→60	43→45	42	234/276/361	128	294	12	4	24%	5%	78	-0.3	226/274/343	117	294	11	5	26%	6%	74	-0.6	238/287/430	192	299	24	5	28%	6%	98	+0.7
✕Shed Long Jr. 2016 · A	20	43→49	42→50	44→50	43	213/265/317	104	278	10	6	27%	6%	64	-1.3	231/290/362	131	316	13	11	29%	7%	84	+0.1	234/295/378	144	313	15	11	29%	7%	86	+0.3
●Carter Jensen 2023 · A	20	37→47	43→55	45→50	46	184/266/293	108	267	10	7	33%	10%	60	-1.6	197/285/328	131	277	13	9	31%	11%	75	-0.5	225/304/406	181	290	21	8	29%	10%	98	+1.1
✕Leopoldo Correa 2013 · A	21	45	39→45	42→30	46	216/274/302	86	272	6	3	22%	7%	64	-1.3	206/259/285	79	274	5	5	25%	6%	54	-2.0	178/223/244	66	223	3	0	21%	4%	27	-0.9
✕Addison Barger 2021 · A	21	41→45	39→55	49→45	44	198/267/288	90	270	6	5	28%	7%	59	-1.7	212/274/363	151	314	18	7	36%	7%	79	-0.2	218/289/380	162	269	18	6	25%	8%	85	+0.2
✕Jason Vosler 2016 · A	22	41→44	44→55	42→40	46	206/265/319	113	240	12	5	20%	6%	65	-1.2	205/265/326	121	262	12	3	26%	6%	67	-1.1	213/279/377	164	265	21	3	28%	7%	81	-0.1
✕John Drennen 2008 · A	21	45→55	43→45	42→45	43	220/278/329	109	283	11	6	26%	6%	72	-0.7	224/273/324	100	276	7	4	21%	5%	68	-1.0	243/293/365	122	288	8	1	18%	6%	83	+0.1
✕John Whittleman 2008 · A	21	41→43	44→50	42→45	48	204/276/324	121	273	11	5	29%	9%	70	-0.8	200/281/314	114	274	10	3	28%	10%	70	-0.8	174/260/322	148	233	18	1	32%	10%	63	-1.0
✕Alexander Ovalles 2022 · A	21	45→42	42→50	45→50	45	219/283/328	108	285	10	6	26%	7%	74	-0.6	214/280/332	118	295	12	10	30%	8%	74	-0.6	205/275/327	123	280	13	11	30%	8%	68	-0.5
✕Nomar Mazara 2015 · AA	20	41→51	46→55	43→40	42	207/268/335	128	286	13	3	32%	7%	70	-0.9	244/303/380	136	299	16	2	23%	7%	93	+0.8	252/315/424	173	294	21	3	22%	8%	100	+1.2
✕Lenyn Sosa 2022 · AA	22	43→51	42→50	39→40	34	213/240/315	102	284	10	4	29%	3%	53	-2.1	235/269/364	129	289	16	4	24%	4%	76	-0.4	243/274/380	137	290	18	3	23%	3%	80	-0.1
●Stephen Parker 2010 · A	22	44→53	41→45	40	41	213/262/311	98	287	8	4	28%	6%	61	-1.5	240/300/366	126	309	12	3	25%	7%	88	+0.5	241/303/364	123	311	11	3	25%	7%	88	+0.4
✕Josh VanMeter 2017 · AA	22	42→48	43→55	46→50	46	212/266/319	108	254	11	8	22%	7%	65	-1.2	221/275/340	119	275	11	12	23%	7%	73	-0.6	229/304/400	171	279	18	12	24%	9%	96	+0.8
✕Ademar Rifaela 2016 · A	21	42→45	42→50	42→45	43	208/268/310	102	280	9	5	28%	7%	63	-1.3	214/260/344	130	305	14	5	33%	5%	68	-1.0	217/264/344	127	311	13	3	33%	5%	68	-0.7
✕Angelo Songco 2010 · A	21	36→46	45→55	47→40	36	189/238/315	126	264	13	4	33%	5%	54	-2.0	221/271/374	153	276	17	4	26%	6%	80	-0.2	218/269/378	160	267	18	3	26%	6%	78	-0.2
●Cheslor Cuthbert 2014 · AA	21	43→53	42→50	44→45	43	213/257/315	102	263	9	5	23%	5%	60	-1.6	235/279/349	114	281	11	7	20%	6%	76	-0.4	254/307/401	147	297	17	1	20%	7%	98	+0.6
✕Victor Mesa Jr. 2023 · A	21	43→44	39→55	49→50	43	209/262/300	92	280	6	8	27%	6%	59	-1.7	212/262/331	119	273	12	10	26%	6%	66	-1.1	228/287/392	163	266	21	11	23%	7%	87	+0.2
●Jack Suwinski 2019 · A	21	40→43	41→60	47→50	40	195/251/291	96	275	8	6	31%	6%	53	-2.1	193/260/318	125	289	14	6	36%	8%	63	-1.4	211/308/417	206	281	27	10	34%	11%	102	+1.2

Career Stats + Projections

Career Comps

Career Path Comps