Renyel Campos

C FCL Blue Jays

Age 20 L/R 5'10" / 161 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1276ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	18	ROKDSL Blue Jays…	100	.171/.357/.250	1	0	21	—	.111/.265/.173
2026	19	ROKTOR	74	.234/.338/.438	3	2	53	—	.164/.243/.299
2027PROJMLE	20	MLBTOR	184	.207/.282/.299	2	2	66	0.0
2028PROJ34% MLB	21	MLBTOR	34	.212/.288/.313	0	0	71	0.0
2029PROJ48% MLB	22	MLBTOR	90	.215/.291/.324	1	1	74	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

ISO84

Speed71

Z-Con%68

K%56

wRC+47

Whiff%40

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 93%

CompsCarlos Rodriguez (age 20) · Yasmil Bucce (age 19) · Izaac Pacheco (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 43 proj PA

wRC+†66

AVG/OBP/SLG.205 / .280 / .296

PA43

HR1

K%29

BB%8

ISO92

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$9M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2036	Arb-1	$1M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2038	Arb-3	$7M	—	—	—
Totals		$3M		$4M	+$2M

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)
2025	18	ROK	DSL Blue Jays Red	—	100	76	13	3	0	1	17	26	5	0	3	171	357	250	607	79	240	26	17	296	21	—	—	—	—	—	—
2026	19	ROK	FCL Blue Jays	—	74	64	15	2	1	3	8	15	2	2	0	234	338	438	775	203	261	20	11	346	53	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	18	ROK MLE	DSL Blue Jays Red	—	100	81	9	2	0	1	12	32	5	0	3	111	265	173	438	62	153	32	12	199	21	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	74	67	11	1	1	2	5	22	2	2	0	164	243	299	542	134	216	30	7	247	53	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Red	—	100	81	9	2	0	1	12	32	5	0	3	111	265	173	438	62	163	32	12	199	21	—	—	—	—	—	—
2025	18	ROK RAW	DSL Blue Jays Red	—	100	76	13	3	0	1	17	26	5	0	3	171	357	250	607	79	240	26	17	296	21	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	74	67	11	1	1	2	5	22	2	2	0	164	243	299	542	134	209	30	7	247	53	—	—	—	—	—	—
2026	19	ROK RAW	FCL Blue Jays	—	74	64	15	2	1	3	8	15	2	2	0	234	338	438	775	203	261	20	11	346	53	—	—	—	—	—	—
2025	18	ROK MLE	DSL Blue Jays Red	—	100	83	9	2	0	1	12	32	5	0	3	108	265	169	434	60	153	32	12	199	21	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	74	67	11	1	1	2	5	22	2	2	0	164	243	299	542	134	216	30	7	247	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	18	ROK MLE	DSL Blue Jays Red	—	100	83	9	2	0	1	12	32	5	0	3	108	265	169	434	60	153	32	12	199	21	—	—	—	—	—	—
2026	19	ROK MLE	FCL Blue Jays	—	74	67	11	1	1	2	5	22	2	2	0	164	243	299	542	134	216	30	7	247	53	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TOR	0%	184	165	34	6	1	2	14	53	3	2	1	207	282	299	581	92	287	29	8	266	66	-7	+0	+0	+3	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TOR	34%	98	88	18	3	1	1	8	28	2	1	0	211	287	311	598	101	289	29	8	273	71	-3	+0	+0	+2	+2	0.1
2029	22	MLB MLE	TOR	48%	185	165	35	6	1	3	15	52	3	2	1	214	290	322	612	108	290	28	8	278	74	-6	+0	+0	+3	+4	0.2
2030	23	MLB MLE	TOR	54%	281	252	54	9	2	5	23	78	4	3	1	218	293	331	625	114	291	28	8	283	78	-7	+0	+0	+5	+6	0.4
2031	24	MLB MLE	TOR	55%	362	324	72	12	3	7	29	99	6	4	1	220	296	339	635	119	292	27	8	287	80	-8	+0	+0	+6	+8	0.6
2032	25	MLB MLE	TOR	56%	407	365	81	14	3	8	33	111	6	4	2	222	298	345	643	123	292	27	8	290	83	-8	+0	+0	+7	+9	0.8
2033	26	MLB MLE	TOR	56%	434	389	86	15	3	9	35	118	7	4	2	222	298	347	645	124	292	27	8	291	83	-9	+0	+0	+8	+9	0.9
2034	27	MLB MLE	TOR	55%	444	398	88	15	3	9	36	121	7	4	2	221	297	344	641	123	291	27	8	289	82	-10	+0	+0	+8	+10	0.8
2035	28	MLB MLE	TOR	55%	445	399	88	15	3	9	36	123	7	3	2	219	295	339	634	120	290	28	8	287	80	-11	-0	-1	+8	+10	0.6
2036	29	MLB MLE	TOR	53%	439	395	85	14	3	8	35	122	6	2	1	217	292	333	625	116	288	28	8	283	78	-12	+0	-1	+8	+10	0.4
2037	30	MLB MLE	TOR	57%	428	385	83	14	3	8	34	120	6	0	1	214	288	325	613	111	286	28	8	278	74	-13	-0	-2	+8	+9	0.1
2038	31	MLB MLE	TOR	60%	394	355	74	12	2	7	31	112	5	0	1	210	283	315	598	105	283	28	8	272	70	-14	-0	-3	+7	+9	-0.2
2028	21	MLB CTX	TOR	34%	34	30	6	1	0	0	3	10	1	0	0	212	288	313	600	101	290	29	9	274	71	-1	+0	+0	+1	+1	0.0
2029	22	MLB CTX	TOR	48%	90	82	17	3	1	1	7	25	1	1	0	215	291	324	615	108	291	28	8	279	74	-3	+0	+0	+2	+2	0.1
2030	23	MLB CTX	TOR	54%	152	137	30	5	1	3	12	42	2	2	1	219	294	333	627	114	292	28	8	284	78	-4	+0	+0	+3	+3	0.2
2031	24	MLB CTX	TOR	55%	201	180	41	7	2	4	16	55	3	2	1	221	297	341	638	119	293	27	8	288	80	-5	+0	+0	+4	+4	0.3
2032	25	MLB CTX	TOR	56%	228	205	46	8	2	5	18	62	3	2	1	223	299	347	645	123	293	27	8	291	83	-5	+0	+0	+4	+5	0.4
2033	26	MLB CTX	TOR	56%	244	218	49	8	2	5	20	66	4	2	1	223	299	348	647	125	293	27	8	292	83	-5	+0	+0	+4	+5	0.5
2034	27	MLB CTX	TOR	55%	246	220	49	8	2	5	20	67	4	2	1	222	298	345	643	123	292	27	8	290	82	-5	+0	+0	+4	+5	0.5
2035	28	MLB CTX	TOR	55%	244	218	48	8	2	5	20	67	4	2	1	220	296	341	636	120	291	27	8	287	80	-6	+0	-0	+4	+5	0.4
2036	29	MLB CTX	TOR	53%	235	211	47	8	2	5	19	65	3	1	1	218	293	334	627	116	290	28	8	284	78	-6	-0	-1	+4	+5	0.2
2037	30	MLB CTX	TOR	57%	244	219	47	8	2	4	20	69	3	0	1	215	289	326	615	112	288	28	8	279	74	-7	-0	-1	+4	+5	0.1
2038	31	MLB CTX	TOR	60%	235	211	44	7	1	4	19	67	3	0	0	210	284	316	600	106	284	29	8	273	70	-8	+0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2153	1931	424	71	17	41	174	595	31	14	8	220	294	338	632	118	294	28	8	285	76	-55	-0	-4	+38	+47	2.6
/ 162G	—	A+C		—	650	583	127	21	5	12	53	180	9	4	2	218	293	333	626	115	292	28	8	285	76	-17	-0	-1	+12	+14	0.8
Career	—	MLE		—	4134	3702	792	133	28	78	335	1150	67	29	17	214	291	328	619	114	286	28	8	281	76	-103	-0	-7	+71	+86	4.7
/ 162G	—	MLE		—	650	582	124	21	4	12	53	181	11	5	3	213	291	325	616	112	286	28	8	281	76	-17	-0	-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 ROKFCL Blue Jays · 74 PAwOBA .337 → .247 (−90)K% 20.3% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.27%	÷1.000	×1.440	—	—	29.19%
BB% (unintentional) /PA	10.81%	÷1.000	×0.620	—	×1.008	6.75%
HBP% /PA	2.70%	—	×0.720	—	×1.008	1.96%
Singles /BIP	18.37%	÷1.000	×0.820	×1.050	×1.008	15.93%
Doubles /BIP	4.08%	÷1.000	×0.720	×1.050	×1.008	3.11%
Triples /BIP	2.04%	÷1.000	×0.720	×1.050	×1.008	1.55%
Home runs /BIP	6.12%	÷1.000	×0.780	—	×1.008	4.81%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .337 → .247; ISO .203 → .148; BABIP .261 → .216. 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 DSLDSL Blue Jays Red · 100 PAwOBA .293 → .199 (−94)K% 26.0% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.00%	÷0.980	×1.220	—	—	32.38%
BB% (unintentional) /PA	17.00%	÷0.994	×0.700	—	×1.008	12.06%
HBP% /PA	5.00%	—	×0.700	—	×1.008	3.53%
Singles /BIP	18.00%	÷1.002	×0.680	×0.962	×1.008	11.85%
Doubles /BIP	6.00%	÷0.970	×0.600	×0.962	×1.008	3.60%
Triples /BIP	0.00%	÷1.017	×0.600	×0.962	×1.008	0.00%
Home runs /BIP	2.00%	÷0.957	×0.470	—	×1.008	0.99%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 100, 2B 94, 3B 103, K 96, BB 99 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .293 → .199; ISO .079 → .045; BABIP .240 → .153. 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
#3Scott Servais'91-'01 * career totals — 9 seasons, 2,778 PA	4.2	2,778	63	3	235*	296*	373*	+49	+0	6.5	6.9
/162	664	15	1	+11.7	+0.1	1.6	pk7: 7
#4Sandy 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
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.3	2,194	42	16	219	291	335	+39	+28	4.3	4.0
/162	664	13	5	+11.9	+8.5	1.3	pk7: 4
#6Ben 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

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
Renyel Campos (OGILVIE)	20	—	—	—	—	205/280/296	92	287	1	0	29%	8%	66	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Rodriguez 2023 · A	20	37	39→45	47→45	49	178/272/261	83	262	6	6	32%	10%	55	-1.9	190/264/264	74	295	5	6	34%	9%	52	-2.2	178/256/266	88	258	7	2	31%	9%	47	-1.0
✕Yasmil Bucce 2024 · A	19	41	38→55	49→40	44	194/265/274	79	279	5	4	30%	8%	55	-2.0	199/299/306	107	308	10	4	35%	11%	76	-0.4	192/301/328	137	300	16	2	37%	12%	79	-0.1
✕Izaac Pacheco 2023 · A	20	41→40	42→50	47→45	42	201/260/306	105	290	10	8	33%	7%	59	-1.6	187/250/307	120	297	13	5	39%	7%	57	-1.8	185/263/344	159	294	20	3	41%	9%	69	-0.6
✕Robert Lopez 2024 · A	20	41	40→45	47→45	42	199/261/293	94	286	8	4	32%	7%	57	-1.8	199/268/282	83	298	7	5	33%	8%	57	-1.8	174/254/236	62	263	5	4	33%	9%	40	-1.0
✕Creed Willems 2023 · A	20	37→45	40→50	48→30	35	182/242/277	95	274	7	4	35%	5%	47	-2.6	193/255/332	139	255	17	3	31%	6%	65	-1.2	210/277/346	136	255	18	1	25%	7%	76	-0.3
✕Darrien Miller 2021 · A	20	42	36→45	47→45	43	198/274/269	70	273	3	8	27%	6%	57	-1.8	204/306/321	117	276	13	6	29%	9%	82	+0.0	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Ryan Mount 2007 · A	20	42	42→50	49→50	42	206/265/309	102	291	10	8	32%	7%	62	-1.4	224/270/342	118	294	12	11	27%	6%	72	-0.7	242/286/380	138	297	15	8	23%	5%	85	+0.1
✕Jhostynxon Garcia 2023 · A	20	36→44	40→50	47→50	46	175/264/271	96	263	7	8	34%	10%	55	-2.0	204/267/339	135	290	14	10	33%	7%	70	-0.8	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Joe Mack 2024 · A	21	41→44	39→55	45	43	198/267/273	75	282	8	2	31%	8%	55	-1.9	218/280/363	145	290	18	5	30%	7%	81	-0.1	220/283/384	165	281	22	4	29%	7%	86	+0.2
✕Hoy Park 2016 · A	20	40→50	41→45	47→55	46	197/270/297	100	265	8	11	28%	8%	62	-1.4	207/284/295	88	286	5	16	27%	9%	67	-1.1	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Angel Ortiz 2024 · A	21	40→45	39→50	47→45	40	197/244/283	86	268	6	8	28%	6%	48	-2.5	228/285/354	126	301	11	6	26%	7%	80	-0.1	227/286/370	143	294	13	8	26%	7%	82	+0.0
✕Isan Díaz 2015 · A	19	34→43	39→55	47→45	40	170/236/260	90	270	6	8	37%	7%	40	-3.0	210/275/349	139	306	13	8	34%	8%	76	-0.4	212/290/379	167	275	21	5	30%	9%	86	+0.2
✕John Whittleman 2007 · A	20	42→45	40→50	46→45	47	202/267/297	95	265	7	7	26%	8%	60	-1.6	209/290/329	120	288	11	4	28%	10%	77	-0.3	203/292/325	122	277	11	2	29%	11%	76	-0.4
✕Carlos Soto 2019 · A	20	40	40→45	43→30	46	198/266/283	86	263	8	3	27%	8%	57	-1.8	200/267/297	97	281	9	4	30%	7%	61	-1.5	168/258/285	117	236	11	0	32%	10%	54	-0.8
✕Eddys Leonard 2021 · A	20	42→47	39→50	45→50	45	198/273/287	89	286	6	8	31%	8%	61	-1.5	229/297/377	148	305	16	5	29%	7%	91	+0.6	227/295/375	148	296	16	4	28%	6%	86	+0.3
✕Alejandro Flores 2016 · A	20	36	39→50	45→40	43	179/246/260	81	255	6	5	31%	8%	45	-2.7	204/264/306	102	299	8	6	32%	7%	61	-1.5	206/261/337	132	279	11	4	29%	6%	64	-0.6
✕Johanfran Garcia 2024 · A	19	41	40→50	49→45	42	199/270/291	93	282	8	6	31%	7%	61	-1.5	219/276/349	130	326	16	5	36%	6%	76	-0.4	218/265/369	151	318	23	4	38%	5%	74	-0.3
✕Anthony Seigler 2019 · A	20	45→40	38→45	48→55	50	214/284/293	79	268	6	5	22%	8%	66	-1.1	196/276/274	78	288	5	5	30%	9%	59	-1.7	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Randy Florentino 2021 · A	21	42	39→45	42→45	49	199/281/287	88	284	6	6	30%	10%	64	-1.3	180/242/262	82	268	8	5	34%	7%	43	-2.8	183/231/259	76	238	8	4	26%	5%	37	-1.0
✕Carlos Jimenez 2022 · A	19	36→44	39→50	53→55	48	177/265/262	85	249	7	11	30%	9%	53	-2.1	194/283/299	105	299	9	16	34%	10%	68	-1.0	223/303/376	153	308	17	18	31%	10%	89	+0.4

Renyel Campos

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps