Ryan Campos

C Springfield Cardinals

Age 24 L/R 5'8" / 190 lbs AA HR -14%BB -5% Svc 0.0 · Ctrl thru 2035

Overview

AAPROSPECTMiLBFA 2036

OGV OFP35OGV rank#716ETA2029MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	21	ASTL	106	.319/.404/.407	0	0	88	—	.274/.337/.337
2025	22	A+STL	421	.235/.357/.340	3	15	61	—	.198/.288/.284
2026	23	AASTL	477	.259/.383/.398	12	17	89	—	.234/.330/.348
2027PROJMLE	24	MLBSTL	4	.204/.297/.300	0	0	73	0.0
2028PROJ39% MLB	25	MLBSTL	101	.208/.300/.311	2	2	76	0.2
2029PROJ56% MLB	26	MLBSTL	170	.210/.301/.317	3	4	78	0.3

Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$0.4M2034Ext$5M+1

Skills · percentileMiLB Statcast 2026 AA

Chase%95

BB%84

wOBA70

Whiff%67

Z-Con%65

wRC+62

Career WAR0.0 WAR median (P10 -0.2 / P90 4.1, comp-based) · star 3% · didn't stick 88%

CompsJames Skelton (age 24) · Raynel Delgado (age 24) · Wyatt Young (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†73

AVG/OBP/SLG.204 / .297 / .300

PA4

HR0

K%25

BB%10

BABIP276

ISO98

MLB%2%

Value2027 · WAR

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

Tools · ContractCON 45 / POW 30

Toolsscout grade

CONTACT45

scouting grade only

POWER30

scouting grade only

EYE60

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
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	$0.8M	+0.3	$1.0M	+$0.3M
2031	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Arb-1	$0.4M	+0.1	$0.3M	+$0.0M
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$0.7M

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 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 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 1-3 WAR low.

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)
2024	21	A	Palm Beach Cardinals	—	106	91	29	8	0	0	13	13	0	0	1	319	404	407	810	88	362	12	12	362	88	—	—	—	—	—	—
2025	22	A+	Peoria Chiefs	—	421	353	83	22	3	3	64	74	3	15	3	235	357	340	697	105	289	18	15	323	61	—	—	—	—	—	—
2026	23	AA	Springfield Cardinals	—	477	394	102	19	0	12	69	111	10	17	2	259	383	398	781	140	327	23	14	355	89	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Palm Beach Cardinals	—	106	95	26	6	0	0	9	18	0	0	1	274	337	337	673	63	319	17	8	299	88	—	—	—	—	—	—
2025	22	A+ MLE	Peoria Chiefs	—	421	373	74	17	3	3	44	99	3	15	3	198	288	284	572	86	259	24	10	258	61	—	—	—	—	—	—
2026	23	AA MLE	Springfield Cardinals	—	477	414	97	17	0	10	49	135	10	17	2	234	330	348	678	114	311	28	10	300	89	—	—	—	—	—	—
2024	21	A MLE	Palm Beach Cardinals	—	106	95	26	6	0	0	9	18	0	0	1	274	337	337	673	63	329	17	8	299	88	—	—	—	—	—	—
2024	21	A RAW	Palm Beach Cardinals	—	106	91	29	8	0	0	13	13	0	0	1	319	404	407	810	88	362	12	12	362	88	—	—	—	—	—	—
2025	22	A+ MLE	Peoria Chiefs	—	421	373	74	17	3	3	44	99	3	15	3	198	288	284	572	86	261	24	10	258	61	—	—	—	—	—	—
2025	22	A+ RAW	Peoria Chiefs	—	421	353	83	22	3	3	64	74	3	15	3	235	357	340	697	105	289	18	15	323	61	—	—	—	—	—	—
2026	23	AA MLE	Springfield Cardinals	—	477	414	97	17	0	10	49	135	10	17	2	234	330	348	678	114	319	28	10	300	89	—	—	—	—	—	—
2026	23	AA RAW	Springfield Cardinals	—	477	394	102	19	0	12	69	111	10	17	2	259	383	398	781	140	327	23	14	355	89	—	—	—	—	—	—
2024	21	A MLE	Palm Beach Cardinals	—	106	96	26	6	0	0	9	18	0	0	1	271	337	333	670	62	319	17	8	299	88	—	—	—	—	—	—
2025	22	A+ MLE	Peoria Chiefs	—	421	371	74	17	3	3	44	99	3	15	3	199	288	286	574	86	259	24	10	258	61	—	—	—	—	—	—
2026	23	AA MLE	Springfield Cardinals	—	477	415	97	17	0	10	49	135	10	17	2	234	330	347	677	113	311	28	10	300	89	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	21	A MLE	Palm Beach Cardinals	—	106	96	26	6	0	0	9	18	0	0	1	271	337	333	670	62	319	17	8	299	88	—	—	—	—	—	—
2025	22	A+ MLE	Peoria Chiefs	—	421	371	74	17	3	3	44	99	3	15	3	199	288	286	574	86	259	24	10	258	61	—	—	—	—	—	—
2026	23	AA MLE	Springfield Cardinals	—	477	415	97	17	0	10	49	135	10	17	2	234	330	347	677	113	311	28	10	300	89	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	STL	2%	380	333	68	13	1	6	39	104	5	9	2	204	296	301	598	98	274	27	10	275	73	-12	+1	+0	+7	+8	0.4
▸ 2027 — real world (MLB)
2027	24	MLB CTX	STL	2%	4	4	1	0	0	0	0	1	0	0	0	204	297	300	597	96	276	25	0	275	73	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	STL	39%	260	228	47	9	1	4	27	70	3	6	1	207	299	312	611	105	276	27	10	281	76	-7	+1	+0	+5	+6	0.4
2029	26	MLB MLE	STL	56%	305	267	57	11	1	6	31	82	4	7	1	209	301	319	619	109	276	27	10	284	78	-8	+1	+0	+5	+7	0.5
2030	27	MLB MLE	STL	62%	321	282	60	12	1	6	32	86	4	7	1	210	301	321	621	110	276	27	10	284	78	-8	+1	+0	+6	+7	0.6
2031	28	MLB MLE	STL	65%	328	288	61	12	1	6	33	87	4	6	1	210	299	320	620	110	276	27	10	283	78	-9	+1	-1	+6	+7	0.5
2032	29	MLB MLE	STL	64%	321	282	60	12	1	6	32	86	4	5	1	210	298	318	616	109	275	27	10	282	77	-9	+1	-1	+6	+7	0.3
2033	30	MLB MLE	STL	70%	314	276	57	11	1	5	31	85	4	3	1	206	294	310	604	104	273	27	10	277	74	-10	+0	-2	+6	+7	0.1
2028	25	MLB CTX	STL	39%	101	89	19	4	0	2	10	27	1	2	0	208	300	311	610	103	278	27	10	280	76	-3	+0	+0	+2	+2	0.2
2029	26	MLB CTX	STL	56%	170	149	31	6	0	3	17	45	2	4	1	210	301	317	618	107	278	26	10	283	78	-4	+0	+0	+3	+4	0.3
2030	27	MLB CTX	STL	62%	198	174	36	7	1	3	20	53	2	4	1	211	301	318	619	108	278	27	10	283	78	-5	+0	+0	+4	+4	0.3
2031	28	MLB CTX	STL	65%	212	186	40	8	1	4	21	57	3	4	1	211	300	318	618	108	278	27	10	283	78	-6	+0	-0	+4	+5	0.3
2032	29	MLB CTX	STL	64%	207	183	39	8	1	4	20	55	2	3	1	210	298	316	614	106	278	27	10	281	77	-6	+0	-1	+4	+4	0.2
2033	30	MLB CTX	STL	70%	220	193	41	8	1	4	22	59	3	2	0	207	294	308	603	102	275	27	10	276	74	-7	+0	-1	+4	+5	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1108	974	206	41	4	20	110	296	13	19	4	211	300	323	623	112	280	27	10	281	77	-31	+2	-3	+20	+24	1.3
/ 162G	—	A+C		—	650	571	121	24	2	12	65	174	8	11	2	212	302	324	626	112	280	27	10	281	77	-18	+1	-2	+12	+14	0.8
Career	—	MLE		—	3063	2689	576	114	10	49	309	805	39	71	13	214	304	319	623	104	284	26	10	281	77	-58	+5	-4	+37	+45	2.5
/ 162G	—	MLE		—	650	571	122	24	2	10	66	171	8	15	3	214	304	315	619	102	284	26	10	281	77	-18	+2	-1	+12	+14	0.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AASpringfield Cardinals · 477 PAwOBA .349 → .300 (−49)K% 23.3% → 28.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.27%	÷1.000	×1.220	—	—	28.39%
BB% (unintentional) /PA	14.47%	÷1.000	×0.700	—	×1.012	10.25%
HBP% /PA	2.10%	—	×0.870	—	×1.012	1.85%
Singles /BIP	25.09%	÷1.000	×0.920	×1.048	×1.012	24.48%
Doubles /BIP	6.71%	÷1.000	×0.840	×1.048	×1.012	5.98%
Triples /BIP	0.00%	÷1.000	×0.940	×1.048	×1.012	0.00%
Home runs /BIP	4.24%	÷1.000	×0.800	—	×1.012	3.43%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .349 → .300; ISO .140 → .117; BABIP .327 → .311. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 A+Peoria Chiefs · 421 PAwOBA .316 → .258 (−58)K% 17.6% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.58%	÷0.951	×1.270	—	—	23.48%
BB% (unintentional) /PA	15.20%	÷1.027	×0.710	—	×0.998	10.49%
HBP% /PA	0.71%	—	×0.790	—	×0.998	0.56%
Singles /BIP	19.71%	÷1.010	×0.920	×1.040	×0.998	18.63%
Doubles /BIP	7.89%	÷1.083	×0.810	×1.040	×0.998	6.12%
Triples /BIP	1.08%	÷0.926	×0.850	×1.040	×0.998	1.02%
Home runs /BIP	1.08%	÷0.857	×0.800	—	×0.998	1.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 71, 1B 102, 2B 117, 3B 85, K 90, BB 105 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.

Result: wOBA .316 → .258; ISO .105 → .087; BABIP .289 → .259. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 APalm Beach Cardinals · 106 PAwOBA .360 → .299 (−60)K% 12.3% → 17.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.26%	÷0.968	×1.360	—	—	17.23%
BB% (unintentional) /PA	12.26%	÷0.999	×0.690	—	—	8.47%
HBP% /PA	0.00%	—	×0.780	—	—	0.00%
Singles /BIP	26.92%	÷1.040	×0.920	×1.050	—	25.00%
Doubles /BIP	10.26%	÷1.153	×0.830	×1.050	—	7.75%
Triples /BIP	0.00%	÷0.946	×0.910	×1.050	—	0.00%
Home runs /BIP	0.00%	÷1.036	×0.800	—	—	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 108, 2B 131, 3B 89, K 94, BB 100 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .360 → .299; ISO .088 → .067; BABIP .362 → .319. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#2Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#3Sandy 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
#4Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
#5Marc Hill'73-'86 * career totals — 10 seasons, 2,047 PA	3.1	2,047	34	1	218*	292*	337*	+35	-0	2.6	3.3
/162	664	11	0	+11.4	-0.0	0.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.7	1,111	20	20	210	296	318	+20	+16	2.2	2.2
/162	664	12	12	+11.9	+9.6	1.3	pk7: 2
#6Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	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
Ryan Campos (OGILVIE)	24	45	30	50	60	202/294/299	97	274	3	5	27%	10%	73	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕James Skelton 2010 · AA	24	47→57	39→40	49→50	57	223/317/307	84	290	6	13	23%	12%	82	-0.0	220/313/309	89	292	6	11	24%	12%	81	-0.1	226/327/311	85	298	5	10	23%	12%	86	+0.1
✕Raynel Delgado 2024 · AAA	24	46→56	40	49→60	46	220/288/314	94	300	8	16	28%	8%	72	-0.7	240/303/337	97	326	8	29	27%	7%	82	+0.0	241/303/332	91	322	6	36	25%	7%	79	-0.2
✕Wyatt Young 2024 · AAA	24	47→57	38→40	50	48	223/289/299	76	293	6	10	25%	8%	69	-0.9	229/302/293	64	310	4	15	25%	9%	72	-0.7	229/306/276	47	312	3	18	25%	9%	68	-0.6
✕Brandon Trinkwon 2016 · AA	24	48→51	39→40	47→50	52	231/298/315	84	272	7	10	18%	9%	76	-0.4	224/287/304	80	271	6	8	19%	8%	69	-0.9	214/277/279	65	254	5	5	17%	8%	57	-1.3
✕Casey Turgeon 2017 · AA	24	44	39→40	47→45	54	210/298/302	91	261	5	7	20%	10%	74	-0.6	208/287/304	96	270	9	8	24%	9%	70	-0.8	186/273/268	81	238	10	6	25%	9%	55	-1.1
✕Gabe Holt 2022 · AA	24	52→54	35→30	52→50	55	241/322/300	59	291	3	12	17%	10%	82	-0.0	214/268/276	62	249	3	12	14%	6%	55	-1.9	188/225/225	37	210	0	14	10%	4%	24	-2.2
✕Zach Humphreys 2023 · AA	25	45	43→40	49→50	52	221/304/327	106	290	11	12	26%	10%	82	-0.0	212/285/304	92	286	7	15	26%	9%	69	-0.9	198/271/277	78	269	5	16	26%	8%	55	-0.8
✕Nolan Fontana 2015 · AA	24	49→45	40	46→50	58	221/333/322	101	321	5	11	29%	14%	92	+0.7	203/291/293	90	294	5	9	29%	10%	69	-0.9	186/292/310	124	256	11	12	29%	12%	73	-0.3
✕Kobe Kato 2023 · A	24	47	42→40	46→55	54	224/310/326	102	281	9	10	22%	10%	84	+0.1	212/289/300	88	293	6	22	27%	9%	70	-0.9	195/279/277	83	276	5	29	29%	9%	58	-0.6
✕Robby Price 2012 · A	24	49	39→30	48→45	57	228/330/323	94	272	5	10	17%	11%	91	+0.6	216/296/286	70	244	5	5	13%	8%	70	-0.9	207/283/263	56	229	4	3	11%	7%	56	-1.2
✕Austin Krum 2010 · AA	24	50→52	38→40	51→50	47	233/301/322	89	309	4	11	25%	8%	78	-0.3	232/296/307	75	298	4	16	22%	8%	73	-0.6	233/296/299	65	295	3	18	21%	7%	68	-0.9
✕Scott Wingo 2013 · A	24	45	38→40	48→50	50	212/304/295	82	283	5	11	25%	9%	75	-0.5	206/299/292	86	290	6	10	28%	9%	72	-0.7	184/292/267	82	268	6	9	30%	10%	62	-1.0
✕Freddy Zamora 2023 · AA	24	47→52	40	49→50	46	225/293/314	89	300	7	11	26%	8%	74	-0.5	216/287/298	82	290	6	14	26%	8%	68	-1.0	212/288/284	72	281	5	16	24%	8%	63	-0.9
✕Shane McGuire 2024 · AA	25	45	37→40	46→45	51	213/299/287	74	286	5	6	25%	10%	71	-0.8	213/295/299	86	282	8	8	25%	9%	72	-0.7	208/294/289	82	271	8	9	24%	10%	66	-0.5
✕Mitch Canham 2009 · A	24	48→49	43→40	54→45	52	234/305/349	115	285	9	10	21%	9%	86	+0.3	219/279/309	90	267	6	6	19%	7%	68	-1.0	205/266/276	71	263	2	11	21%	7%	53	-0.8
✕Daniel Lyons 2009 · A	24	47	40	50	48	223/304/325	102	285	7	13	23%	8%	81	-0.1	196/280/278	82	263	5	14	25%	9%	62	-1.4	163/256/221	59	224	3	15	26%	10%	40	-1.4
✕Ford Proctor 2021 · A	24	48	38→40	44→45	48	225/289/306	81	296	5	8	25%	8%	70	-0.8	214/299/323	109	307	12	6	31%	10%	79	-0.2	204/298/305	101	289	12	4	31%	11%	73	-0.4
✕Phil Clarke 2023 · AA	25	46	40	44→45	51	219/299/307	88	266	8	4	20%	8%	76	-0.4	228/309/315	87	267	8	8	17%	9%	81	-0.1	232/316/308	77	265	7	7	15%	9%	78	-0.1
✕Graysen Tarlow 2024 · A	23	45	43→30	49→40	50	217/307/331	113	283	10	8	25%	9%	84	+0.1	211/291/285	74	299	6	6	29%	8%	68	-1.0	224/307/292	68	313	6	7	28%	8%	76	-0.1
✕Ty Hanchey 2024 · A	24	44	40→45	50→40	50	210/283/302	91	268	7	8	23%	9%	68	-1.0	213/283/312	99	296	9	5	29%	8%	70	-0.8	207/277/307	100	297	10	3	32%	7%	65	-0.5

Ryan Campos

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps