Clayton Campbell

Clayton CampbellC West Michigan Whitecaps

Age 22 R/R 6'1" / 209 lbs A+ HR -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION420 act + 10 ros · stats below = ROS only

showingROS

wRC+†53

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

PA10

HR0

K%30

BB%10

BABIP264

ISO85

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 33 / POW 42

Toolsscout grade

CONTACT33

scouting grade only

POWER42

scouting grade only

EYE54

scouting grade only

SPEED50

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	+0.2	$0.6M	+$0.0M
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-1	$0.6M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-2	$0.4M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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	18	ROK	FCL Tigers	—	129	101	15	5	0	1	21	33	5	0	2	149	323	228	551	79	203	26	16	271	70	-5	-1	—	—	+3	-0.3
2022	18	INTL	Auckland Tuatara	—	125	112	29	4	0	3	6	24	4	0	1	259	320	375	695	116	295	19	5	307	94	-1	-0	—	—	+3	0.1
2023	19	A	Lakeland Flying Tigers	—	48	37	7	2	1	1	9	16	1	1	0	189	362	378	740	189	286	33	19	333	112	+1	+0	—	—	+1	0.2
2023	19	ROK	FCL Tigers	—	137	109	31	16	0	3	21	30	5	4	0	284	422	514	936	229	359	22	15	409	163	+10	+1	—	—	+3	1.4
2023	19	INTL	Sydney Blue Sox	—	85	73	11	1	0	1	10	15	0	0	0	151	253	205	458	55	169	18	12	217	33	-7	+0	—	—	+2	-0.5
2024	20	A	Lakeland Flying Tigers	—	343	290	57	14	0	4	38	79	7	3	1	197	304	286	590	90	248	23	11	272	70	-12	+0	—	—	+7	-0.5
2024	20	INTL	Sydney Blue Sox	—	156	141	39	11	0	2	10	24	2	0	1	277	333	397	730	121	314	15	6	322	104	+1	-0	—	—	+3	0.4
2025	21	A	Lakeland Flying Tigers	—	76	60	8	3	0	0	14	19	1	1	0	133	307	183	490	50	195	25	18	248	54	-4	+0	—	—	+2	-0.2
2025	21	ROK	FCL Tigers	—	104	91	23	2	0	3	7	18	5	4	0	253	340	374	713	121	282	17	7	324	105	+1	+1	—	—	+2	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	FCL Tigers	—	129	109	10	3	0	1	13	49	5	0	2	92	220	147	367	55	152	38	10	182	9	-14	-1	—	—	+3	-1.2
2023	19	A MLE	Lakeland Flying Tigers	—	48	40	7	2	1	1	6	23	1	1	0	175	298	350	648	175	257	48	12	239	48	-3	+0	—	—	+1	-0.2
2023	19	ROK MLE	FCL Tigers	—	137	117	21	10	0	2	13	44	5	4	0	179	289	316	605	137	258	32	9	277	74	-4	+1	—	—	+3	-0.1
2024	20	A MLE	Lakeland Flying Tigers	—	343	304	47	9	0	3	25	109	7	3	1	155	235	214	449	59	215	32	7	212	30	-29	+0	—	—	+7	-2.2
2025	21	A MLE	Lakeland Flying Tigers	—	76	63	7	3	0	0	11	27	1	1	0	111	253	159	412	48	173	36	14	196	19	-7	+0	—	—	+2	-0.6
2025	21	ROK MLE	FCL Tigers	—	104	94	18	1	0	3	4	26	5	4	0	191	262	298	560	106	229	25	4	243	51	-6	+1	—	—	+2	-0.3
2022	18	ROK MLE	2 teams	—	254	214	21	7	0	1	26	96	9	0	3	98	225	145	370	47	164	38	10	182	9	—	—	—	—	—	—
2022	18	ROK RAW	2 teams	—	254	213	44	9	0	4	27	57	9	0	3	207	321	305	626	99	255	22	11	289	9	—	—	—	—	—	—
2023	19	ROK MLE	3 teams	—	270	232	39	17	1	4	27	99	6	5	0	168	272	302	573	134	261	37	10	267	67	—	—	—	—	—	—
2023	19	ROK RAW	3 teams	—	270	219	49	19	1	5	40	61	6	5	0	224	358	388	747	164	278	23	15	335	67	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	499	443	69	14	0	4	37	159	9	3	2	156	235	214	450	59	224	32	7	212	30	—	—	—	—	—	—
2024	20	A RAW	2 teams	—	499	431	96	25	0	6	48	103	9	3	2	223	313	323	635	100	271	21	10	288	30	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	180	157	25	4	0	3	15	53	6	5	0	159	258	242	500	83	216	29	8	223	37	—	—	—	—	—	—
2025	21	ROK RAW	2 teams	—	180	151	31	5	0	3	21	37	6	5	0	205	326	298	624	93	250	21	12	292	37	—	—	—	—	—	—
2022	18	ROK MLE	2 teams	—	254	217	21	7	0	1	26	96	9	0	3	97	225	143	368	46	152	38	10	182	9	—	—	—	—	—	—
2023	19	ROK MLE	3 teams	—	270	235	39	17	1	4	27	99	6	5	0	166	272	298	570	132	258	37	10	267	67	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	499	450	69	14	0	4	37	159	9	3	2	153	235	211	446	58	215	32	7	212	30	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	180	157	25	4	0	3	15	53	6	5	0	159	258	242	500	83	205	29	8	223	37	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	3 teams	—	270	235	39	17	1	4	27	99	6	5	0	166	272	298	570	132	258	37	10	267	67	—	—	—	—	—	—
2024	20	A MLE	2 teams	—	499	450	69	14	0	4	37	159	9	3	2	153	235	211	446	58	215	32	7	212	30	—	—	—	—	—	—
2025	21	ROK MLE	2 teams	—	180	157	25	4	0	3	15	53	6	5	0	159	258	242	500	83	205	29	8	223	37	—	—	—	—	—	—
YTD	22	A+ MLE	DET	—	420	380	80	13	2	8	30	147	4	5	1	211	275	318	594	108	312	35	7	259	62	-19	+1	+0	+8	+9	-0.2
▸ 2026 season
YTD	22	A+ RAW	DET	—	378	327	84	16	2	9	42	100	4	4	1	257	349	401	749	144	336	26	11	334	62	—	—	—	—	—	—
YTD	22	AA RAW	DET	—	42	40	12	1	0	1	1	10	0	1	0	300	317	400	717	100	367	24	2	312	62	—	—	—	—	—	—
ROS	22	A+ MLE	DET	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		269	30	10	247	53	-1	+0	+0	+0	+0	-0.0
TOT	22	A+ MLE	DET	—	430	389	81	13	2	8	31	150	4	5	1	208	274	314	587	105	308	35	7	259	61	-20	+1	+0	+8	+9	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	DET	35%	362	327	63	11	1	7	28	116	4	3	1	193	265	297	561	104	271	32	8	258	61	-17	+0	+0	+6	+8	-0.2
2028	24	MLB MLE	DET	46%	426	384	76	14	1	9	34	132	5	4	1	198	272	310	582	112	273	31	8	267	67	-17	+0	+0	+8	+9	0.0
2029	25	MLB MLE	DET	52%	453	407	82	15	1	10	37	137	6	4	1	201	278	317	595	115	275	30	8	272	70	-16	+0	+0	+8	+10	0.2
2030	26	MLB MLE	DET	54%	468	421	86	15	2	11	38	141	6	4	1	204	280	328	607	124	275	30	8	275	72	-16	+0	+0	+8	+10	0.3
2031	27	MLB MLE	DET	54%	470	422	85	15	1	11	39	142	6	4	1	201	278	320	598	118	275	30	8	275	72	-16	+0	+0	+8	+10	0.3
2032	28	MLB MLE	DET	54%	466	418	84	15	1	11	39	141	6	4	1	201	279	321	599	120	274	30	8	274	71	-16	+0	-1	+8	+10	0.2
2033	29	MLB MLE	DET	53%	457	409	82	15	1	10	39	139	6	4	1	200	280	315	595	115	273	30	9	272	70	-16	+0	-1	+8	+10	0.1
2034	30	MLB MLE	DET	57%	446	400	79	14	1	10	38	137	5	3	1	198	275	312	588	115	272	31	9	269	68	-17	+0	-2	+8	+10	-0.1
2027	23	MLB CTX	DET	35%	125	112	21	4	0	2	10	40	2	1	0	188	266	277	543	89	266	32	8	245	61	-6	+0	+0	+2	+3	-0.1
2028	24	MLB CTX	DET	46%	197	177	35	6	1	4	16	61	2	2	0	198	272	311	583	113	269	31	8	253	67	-8	+0	+0	+4	+4	0.0
2029	25	MLB CTX	DET	52%	234	210	42	7	1	5	19	71	3	2	0	200	276	314	590	114	270	30	8	259	70	-8	+0	+0	+4	+5	0.1
2030	26	MLB CTX	DET	54%	254	228	46	8	1	6	21	76	3	2	0	202	278	325	602	123	270	30	8	261	72	-8	+0	+0	+5	+6	0.2
2031	27	MLB CTX	DET	54%	255	229	46	8	1	6	21	77	3	2	0	201	277	323	600	122	270	30	8	261	72	-8	+0	+0	+5	+6	0.2
2032	28	MLB CTX	DET	54%	253	227	46	8	1	6	21	77	3	2	0	203	279	326	605	123	269	30	8	260	71	-9	+0	-0	+5	+5	0.1
2033	29	MLB CTX	DET	53%	243	218	43	8	1	5	20	74	3	2	0	197	274	312	586	115	268	30	8	258	70	-9	+0	-1	+4	+5	0.1
2034	30	MLB CTX	DET	57%	254	228	45	8	1	5	21	78	3	2	0	197	274	307	581	110	267	31	8	256	68	-10	+0	-1	+5	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1815	1629	324	57	7	39	149	554	22	15	0	199	275	314	589	115	273	31	8	257	60	-66	+3	-2	+32	+39	0.7
/ 162G	—	A+C		—	650	583	116	20	3	14	53	198	8	5	0	199	275	316	590	117	273	30	8	257	60	-24	+1	-1	+12	+14	0.2
Career	—	MLE		—	4761	4243	792	156	10	91	398	1495	74	43	13	187	268	292	561	106	260	31	8	258	60	-131	+3	-4	+64	+77	0.9
/ 162G	—	MLE		—	650	579	107	21	1	12	54	204	10	6	2	185	266	287	552	102	258	31	8	258	60	-24	+1	-1	+12	+14	0.2

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
#3Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#4J.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
#5Adam 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
#6Ryan 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 4 projected seasons	2.7	1,815	41	16	202	275	321	+32	+16	1.9	1.9
/162	664	15	6	+11.9	+5.9	0.7	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
Clayton Campbell (OGILVIE)	22	28→33	37→42	45→50	54	184/256/278	95	269	4	3	33%	8%	53	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Steven Baron 2013 · A	22	39	41→45	50	37	193/231/293	99	262	8	10	29%	4%	45	-2.7	197/236/286	89	278	6	9	30%	5%	45	-2.7	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Francisco Acuna 2022 · A	22	38→48	39→45	48→50	45	182/274/268	86	264	6	10	31%	8%	58	-1.7	206/278/301	95	283	7	11	28%	7%	66	-1.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕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
✕Blake Hunt 2021 · A	22	42	40→45	49→40	43	204/260/298	94	268	7	6	26%	6%	58	-1.7	192/251/306	114	277	11	4	33%	6%	57	-1.8	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Alexis Wilson 2019 · A	22	41	38→40	48→30	45	195/262/274	79	264	5	4	27%	8%	53	-2.1	220/270/311	91	282	9	5	24%	6%	64	-1.3	224/269/304	80	272	10	1	21%	5%	59	-0.6
✕David Narodowski 2011 · A	22	37	39→40	42→45	47	184/262/267	82	249	8	7	28%	9%	53	-2.1	202/263/289	87	282	6	8	29%	7%	57	-1.8	190/245/265	75	263	4	7	28%	7%	42	-0.7
✕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
✕Wynston Sawyer 2014 · A	22	41	42→45	47→45	46	203/265/304	101	254	9	3	24%	7%	61	-1.5	215/280/313	98	272	8	5	23%	7%	69	-0.9	228/314/342	113	289	10	2	23%	9%	86	+0.1
✕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
✕Luis De La Cruz 2011 · A	22	39	40→30	47→30	38	193/228/291	98	250	6	6	26%	4%	44	-2.8	234/265/314	80	285	4	6	19%	4%	62	-1.4	265/287/332	67	311	3	4	16%	3%	71	-0.3
✕Willy Diaz 2015 · A	21	36	36→40	45→40	46	170/263/235	65	253	4	5	32%	9%	47	-2.6	187/263/267	80	309	5	4	37%	8%	53	-2.1	184/258/270	86	308	5	2	39%	8%	49	-0.9
✕Andy Paz 2015 · A	22	38	38→40	45	44	186/245/261	75	253	6	5	28%	7%	44	-2.8	217/271/283	66	297	4	6	26%	7%	58	-1.7	246/291/294	49	312	2	7	21%	6%	64	-0.4
✕Gilberto Vizcarra 2021 · A	22	43	36→45	50→40	46	203/265/271	69	261	4	5	23%	7%	54	-2.0	218/265/313	95	269	7	4	21%	5%	63	-1.4	233/269/347	114	277	11	0	20%	4%	71	-0.4
✕Gerardo Bustamante 2008 · A	22	38	39→40	42→50	40	189/237/273	83	260	8	4	30%	6%	43	-2.8	198/258/276	78	270	5	5	27%	7%	52	-2.2	215/252/293	77	268	9	12	23%	4%	50	-0.7
✕Luis Carpio 2019 · A	22	39→42	40→45	44→50	45	192/250/284	92	248	8	9	26%	7%	51	-2.3	212/272/307	95	278	8	7	25%	7%	64	-1.3	205/266/287	82	278	6	8	27%	7%	54	-1.1
✕Jorge Saez 2014 · A	23	38	39→45	49→30	43	188/248/271	83	255	7	6	28%	7%	47	-2.5	196/263/293	97	280	8	3	31%	8%	58	-1.7	207/270/340	133	282	19	3	33%	7%	70	-0.3
✕Narbe Cruz 2023 · A	22	41	38→45	44→45	40	196/250/274	78	266	5	7	27%	5%	49	-2.4	214/267/306	92	306	8	6	31%	5%	62	-1.4	214/268/307	93	310	9	6	32%	5%	59	-0.8

Career Stats + Projections

Career Comps

Career Path Comps