Joe Campagna

SS Erie SeaWolves

Age 30 R/R 5'9" / 200 lbs AA HR -8% Svc 0.0 · Ctrl thru 2035

Overview

AAPROSPECTMiLBFA 2036

MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	29	AADET	88	.216/.299/.365	1	2	47	—	.188/.253/.312
2027PROJ2% MLB	30	MLBDET	3	.207/.269/.324	0	0	70	-0.0
2028PROJ23% MLB	31	MLBDET	29	.205/.267/.319	0	1	68	-0.1

Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.8M2031Ext$0.9M2032Ext$0.9M2033Ext$3M2034Ext$5M+1

Skills · percentileMiLB Statcast 2026 AA

Speed80

BB%60

ISO51

wRC+34

wOBA31

K%24

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 0% · didn't stick 100%

CompsDavid Matranga (age 30) · Jim Haley (age 29) · Dusty Coleman (age 30)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†70

AVG/OBP/SLG.207 / .269 / .324

PA3

HR0

K%33

BB%7

BABIP286

ISO113

MLB%2%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Contract

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
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
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		$0.0M	+$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. 2027 = actual YTD + projected ROS + total. 2028+ 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)
2026	29	AA	Erie SeaWolves	—	88	74	16	6	1	1	10	26	0	2	0	216	299	365	664	149	319	30	11	291	47	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	29	AA MLE	Erie SeaWolves	—	88	80	15	5	1	1	7	32	0	2	0	188	253	312	565	125	284	36	8	237	47	—	—	—	—	—	—
2026	29	AA MLE	Erie SeaWolves	—	88	80	15	5	1	1	7	32	0	2	0	188	253	312	565	125	298	36	8	237	47	—	—	—	—	—	—
2026	29	AA RAW	Erie SeaWolves	—	88	74	16	6	1	1	10	26	0	2	0	216	299	365	664	149	319	30	11	291	47	—	—	—	—	—	—
2026	29	AA MLE	Erie SeaWolves	—	88	81	15	5	1	1	7	32	0	2	0	185	253	309	562	123	284	36	8	237	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	29	AA MLE	Erie SeaWolves	—	88	81	15	5	1	1	7	32	0	2	0	185	253	309	562	123	284	36	8	237	47	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	30	MLB MLE	DET	2%	200	183	39	9	1	4	14	61	1	5	1	210	273	332	605	122	291	30	7	271	70	-7	+1	+0	+2	+4	0.0
▸ 2027 — real world (MLB)
2027	30	MLB CTX	DET	2%	3	3	0	0	0	0	0	1	0	0	0	207	269	324	594	118	286	33	0	267	70	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	31	MLB MLE	DET	23%	126	115	24	5	1	2	9	38	1	3	1	208	271	327	597	118	288	30	7	268	68	-5	+0	-3	+1	+3	-0.3
2028	31	MLB CTX	DET	23%	29	27	5	1	0	0	2	9	0	1	0	205	267	319	586	115	283	31	7	264	68	-1	+0	-1	+0	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	29	27	5	1	0	0	2	9	0	1	0	185	241	222	464	37	278	31	7	264	63	-1	+0	-1	+0	+1	-0.1
/ 162G	—	A+C		—	650	605	112	22	0	0	45	202	0	22	0	185	242	221	463	36	278	31	7	264	63	-25	+4	-14	+7	+14	-1.4
Career	—	MLE		—	350	319	65	16	3	5	26	111	2	8	2	204	268	320	588	116	293	32	7	262	63	-10	+0	-3	+3	+6	-0.4
/ 162G	—	MLE		—	650	592	121	30	6	9	48	206	4	15	4	204	269	321	590	117	294	32	7	262	63	-24	+1	-7	+7	+14	-0.9

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
Joe Campagna (OGILVIE)	30	—	—	—	—	208/271/329	120	291	2	3	30%	7%	70	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕David Matranga 2007 · AAA	30	37	44→45	47→50	42	191/258/306	114	248	13	9	28%	6%	60	-1.6	208/279/330	122	276	13	11	28%	7%	73	-0.6	205/284/322	118	273	13	9	28%	8%	72	-0.3
✕Jim Haley 2024 · AAA	29	39→43	46→50	57→55	38	200/256/327	127	276	14	20	32%	6%	63	-1.3	214/270/329	115	293	11	20	30%	6%	69	-0.9	203/257/305	102	281	10	25	30%	5%	55	-1.2
✕Dusty Coleman 2017 · AAA	30	42	44→50	49→50	35	208/259/327	119	309	12	14	35%	5%	64	-1.3	172/224/305	133	303	15	13	46%	5%	47	-2.6	137/191/270	133	248	16	13	50%	5%	26	-2.6
✕Jeremy Owens 2007 · AA	30	39→35	45	54→55	34	198/243/317	118	298	13	20	37%	5%	56	-1.9	204/239/318	114	320	12	18	38%	4%	54	-2.0	210/238/321	110	345	9	21	40%	4%	51	-1.4
✕Eric Stamets 2022 · MLB	30	36→46	43→45	54→50	42	184/248/291	107	248	10	13	30%	7%	53	-2.1	187/258/298	111	269	11	13	33%	7%	58	-1.7	137/213/223	85	203	9	16	36%	6%	23	-1.6
✕Corey Smith 2012 · AAA	30	42→45	44→50	48→50	39	211/251/327	116	268	12	8	26%	5%	61	-1.5	220/264/355	135	279	15	7	26%	5%	73	-0.6	217/260/370	153	264	18	4	25%	4%	71	-0.5
✕Zack Short 2024 · MLB	29	37→39	46→50	48→45	51	192/284/322	130	260	15	10	30%	11%	74	-0.5	184/277/294	110	254	11	9	30%	11%	65	-1.2	162/262/256	94	224	9	7	30%	11%	50	-1.3
✕Tony Thomas 2015 · AAA	29	40→47	44→50	56→55	36	200/244/328	127	283	11	14	33%	5%	59	-1.7	209/252/333	124	308	11	11	34%	5%	63	-1.4	199/238/324	124	298	10	7	35%	4%	52	-1.3
✕Cody Ransom 2006 · MLB	30	42→39	43→55	49→50	37	206/256/312	106	312	11	12	36%	6%	59	-1.6	202/264/359	157	264	20	10	30%	7%	74	-0.5	206/286/402	196	277	25	6	34%	9%	92	+0.4
✕Josh Prince 2018 · AA	30	44→46	43→40	50→60	44	218/277/328	110	285	10	15	27%	7%	71	-0.8	227/291/335	108	315	10	14	29%	8%	78	-0.3	224/295/317	93	312	8	15	29%	9%	73	-0.4
✕Chris Rabago 2022 · AAA	29	40	40	47→55	44	198/265/285	87	273	8	13	29%	8%	57	-1.8	200/266/294	94	306	8	10	35%	7%	59	-1.6	154/223/216	62	257	4	5	39%	6%	24	-1.3
✕Brad Davis 2013 · MLB	30	42	42→50	50→45	41	209/256/311	103	273	9	7	27%	6%	59	-1.6	204/251/312	108	273	10	9	28%	6%	57	-1.8	163/195/254	91	217	8	4	29%	4%	22	-1.0
✕Camden Duzenack 2023 · AAA	28	41→36	48→50	51→50	37	212/251/355	143	272	16	13	29%	4%	68	-1.0	228/285/350	122	286	12	10	24%	6%	80	-0.2	232/297/331	98	288	9	6	21%	6%	77	-0.2
✕Brandon Hicks 2016 · MLB	30	36→41	46→50	46→50	40	184/258/308	124	283	14	5	38%	8%	61	-1.5	195/262/307	112	329	12	10	41%	8%	61	-1.5	163/230/251	88	289	11	12	45%	8%	34	-1.8
✕Deven Marrero 2021 · MLB	30	39→49	44→45	53→50	41	199/253/314	114	272	13	12	31%	7%	59	-1.7	206/267/313	107	288	12	10	31%	8%	64	-1.3	187/251/272	85	261	10	8	31%	8%	46	-0.9
✕Adam Fox 2011 · AAA	29	38→43	46→45	49→45	41	196/246/318	122	243	14	9	26%	5%	57	-1.8	199/244/320	121	251	12	9	25%	5%	57	-1.8	174/211/298	124	212	12	6	24%	4%	35	-1.4
✕Jake Wald 2010 · AAA	29	42	41→45	51→50	42	202/265/299	97	286	8	10	31%	7%	61	-1.5	188/252/274	86	308	7	8	38%	7%	50	-2.3	129/198/173	44	246	2	2	44%	7%	5	-2.3
✕Seth Bynum 2012 · AAA	31	40→43	48→50	51→50	38	210/256/349	140	281	17	13	32%	6%	69	-0.9	200/252/318	118	290	13	10	34%	6%	60	-1.6	171/223/270	99	255	10	6	36%	5%	35	-2.3
✕Justin Leone 2008 · AAA	31	41→39	48→50	53→55	49	210/287/354	144	268	16	15	28%	9%	82	-0.0	192/268/328	136	258	15	15	30%	9%	69	-0.9	163/242/288	125	216	15	14	31%	9%	50	-1.3
✕Trent Giambrone 2022 · AAA	28	35→41	43→50	48→55	41	180/244/284	105	257	11	13	34%	7%	49	-2.4	187/251/273	86	269	7	15	31%	7%	49	-2.4	154/219/212	59	222	4	19	31%	6%	22	-2.1