Jose Cedeno — OGILVIE

Jose CedenoC ACL Guardians

Age 21 L/R 5'7" / 140 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 59 proj PA

wRC+†58

AVG/OBP/SLG.201 / .269 / .280

PA5

HR0

K%30

BB%7

ISO80

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.2	$0.4M	+$0.0M
2035	Arb-1	$0.8M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.5M

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	17	ROK	DSL CLE Blue	—	159	123	39	8	1	1	27	17	7	0	0	317	465	423	888	106	355	11	17	404	159	+11	+0	—	—	+3	1.5
2023	18	ROK	ACL Guardians	—	32	29	7	0	1	0	2	7	1	0	0	241	312	310	623	69	318	22	6	287	80	-1	+0	—	—	+1	-0.0
2024	19	ROK	ACL Guardians	—	102	84	19	2	0	2	12	24	5	0	0	226	356	321	678	95	288	24	12	317	101	+0	+0	—	—	+2	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL CLE Blue	—	159	133	35	7	1	1	17	25	7	0	0	263	376	353	729	90	297	16	11	314	99	-0	+0	—	—	+3	0.3
2023	18	ROK MLE	ACL Guardians	—	32	30	5	0	1	0	1	10	1	0	0	167	219	233	452	67	254	31	3	197	19	-3	+0	—	—	+1	-0.2
2024	19	ROK MLE	ACL Guardians	—	102	89	14	1	0	1	7	35	5	0	0	157	257	202	460	45	245	34	7	229	41	-7	+0	—	—	+2	-0.5
2022	17	ROK MLE	DSL CLE Blue	—	159	133	35	7	1	1	17	25	7	0	0	263	376	353	729	90	312	16	11	314	99	—	—	—	—	—	—
2022	17	ROK RAW	DSL CLE Blue	—	159	123	39	8	1	1	27	17	7	0	0	317	465	423	888	106	355	11	17	404	99	—	—	—	—	—	—
2023	18	ROK MLE	ACL Guardians	—	32	30	5	0	1	0	1	10	1	0	0	167	219	233	452	67	250	31	3	197	19	—	—	—	—	—	—
2023	18	ROK RAW	ACL Guardians	—	32	29	7	0	1	0	2	7	1	0	0	241	312	310	623	69	318	22	6	287	19	—	—	—	—	—	—
2024	19	ROK MLE	ACL Guardians	—	102	89	14	1	0	1	7	35	5	0	0	157	257	202	460	45	241	34	7	229	41	—	—	—	—	—	—
2024	19	ROK RAW	ACL Guardians	—	102	84	19	2	0	2	12	24	5	0	0	226	356	321	678	95	288	24	12	317	41	—	—	—	—	—	—
2022	17	ROK MLE	DSL CLE Blue	—	159	134	35	7	1	1	17	25	7	0	0	261	376	351	727	90	297	16	11	314	99	—	—	—	—	—	—
2023	18	ROK MLE	ACL Guardians	—	32	30	5	0	1	0	1	10	1	0	0	167	219	233	452	67	254	31	3	197	19	—	—	—	—	—	—
2024	19	ROK MLE	ACL Guardians	—	102	89	14	1	0	1	7	35	5	0	0	157	257	202	460	45	245	34	7	229	41	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	ACL Guardians	—	32	30	5	0	1	0	1	10	1	0	0	167	219	233	452	67	254	31	3	197	19	—	—	—	—	—	—
2024	19	ROK MLE	ACL Guardians	—	102	89	14	1	0	1	7	35	5	0	0	157	257	202	460	45	245	34	7	229	41	—	—	—	—	—	—
▸ 2026 season
2026	21	MLB MLE	CLE	0%	5	5	1	0	0	0	0	2	0	0	0	200	200	200	400		288	40	0	254	58	-0	+0	+0	+0	+0	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	CLE	34%	115	104	22	3	1	2	8	34	2	1	0	212	281	317	598	106	289	30	7	265	65	-5	+0	+0	+2	+2	-0.0
2028	23	MLB MLE	CLE	48%	251	227	49	7	2	4	18	72	4	2	1	216	285	317	602	101	290	29	7	272	70	-9	+0	+0	+4	+5	0.1
2029	24	MLB MLE	CLE	53%	349	315	68	10	2	6	25	99	6	3	1	216	286	317	604	102	291	28	7	277	74	-11	+0	+0	+6	+8	0.3
2030	25	MLB MLE	CLE	55%	410	370	81	12	3	8	30	115	7	4	1	219	290	332	622	114	292	28	7	280	75	-12	+0	+0	+7	+9	0.5
2031	26	MLB MLE	CLE	56%	448	405	88	13	3	9	33	126	7	4	1	217	288	331	619	114	291	28	7	281	76	-13	+0	+0	+8	+10	0.5
2032	27	MLB MLE	CLE	55%	466	421	92	14	3	9	35	131	7	4	2	219	289	330	620	112	291	28	8	281	76	-13	+0	+0	+8	+10	0.5
2033	28	MLB MLE	CLE	59%	474	427	93	14	3	9	36	134	8	4	2	218	291	328	619	110	291	28	8	280	75	-14	+0	-1	+8	+10	0.4
2034	29	MLB MLE	CLE	61%	472	425	91	13	3	9	36	134	8	4	1	214	288	322	610	108	290	28	8	278	74	-15	+0	-1	+8	+10	0.3
2035	30	MLB MLE	CLE	57%	466	420	89	13	3	8	36	134	7	3	1	212	285	314	599	102	288	29	8	275	72	-15	+0	-2	+8	+10	0.1
2036	31	MLB MLE	CLE	59%	441	397	84	12	3	8	34	128	7	3	1	212	285	317	603	106	286	29	8	271	69	-16	+0	-3	+8	+10	-0.1
2027	22	MLB CTX	CLE	34%	40	36	8	1	0	1	3	12	1	0	0	222	300	333	633	111	288	30	8	251	65	-2	+0	+0	+1	+1	-0.0
2028	23	MLB CTX	CLE	48%	122	110	23	3	1	2	9	35	2	1	0	209	281	309	590	100	289	29	7	259	70	-4	+0	+0	+2	+3	0.1
2029	24	MLB CTX	CLE	53%	184	166	35	5	1	3	13	52	3	2	1	211	280	307	587	96	290	28	7	264	74	-6	+0	+0	+3	+4	0.2
2030	25	MLB CTX	CLE	55%	224	202	44	7	1	4	16	63	4	2	1	218	288	322	610	104	290	28	7	266	75	-7	+0	+0	+4	+5	0.2
2031	26	MLB CTX	CLE	56%	249	225	48	7	1	5	18	70	4	2	1	213	283	320	603	107	290	28	7	267	76	-7	+0	+0	+4	+5	0.3
2032	27	MLB CTX	CLE	55%	256	231	49	7	1	5	19	72	4	2	1	212	283	316	599	104	290	28	7	267	76	-7	+0	+0	+5	+6	0.3
2033	28	MLB CTX	CLE	59%	279	252	54	8	2	5	21	79	4	2	1	214	285	321	607	107	290	28	8	267	75	-8	+0	-0	+5	+6	0.3
2034	29	MLB CTX	CLE	61%	287	258	55	8	2	5	22	82	5	2	1	213	288	318	606	105	289	29	8	265	74	-9	+0	-1	+5	+6	0.2
2035	30	MLB CTX	CLE	57%	265	239	50	7	1	5	20	76	4	2	1	209	281	310	591	100	287	29	8	262	72	-9	+0	-1	+5	+6	0.1
2036	31	MLB CTX	CLE	59%	262	236	49	7	1	5	20	76	4	2	1	208	281	309	590	102	285	29	8	258	69	-10	+0	-2	+5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2168	1955	415	60	11	40	161	617	35	17	8	212	284	316	600	103	287	28	7	264	73	-68	+0	-4	+39	+47	1.4
/ 162G	—	A+C		—	650	586	124	18	3	12	48	185	10	5	2	212	282	314	596	102	286	28	7	264	73	-20	+0	-1	+12	+14	0.4
Career	—	MLE		—	4190	3768	812	119	28	74	316	1179	76	32	11	215	289	321	610	105	291	28	8	277	73	-123	+2	-7	+70	+84	2.7
/ 162G	—	MLE		—	650	585	125	18	4	11	49	183	12	5	2	214	288	315	602	101	289	28	8	277	73	-20	+0	-1	+12	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#2Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#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
#4Ronny 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.4	2,227	41	18	216	285	324	+40	+24	3.1	2.9
/162	664	12	5	+11.9	+7.2	0.9	pk7: 3
#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

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
Jose Cedeno (OGILVIE)	21	—	—	—	—	201/269/280	79	288	1	1	30%	7%	58	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Franco 2012 · A	20	35→45	37→45	52→45	39	172/228/242	70	257	5	9	34%	6%	33	-3.6	204/263/275	71	292	4	8	29%	7%	53	-2.1	215/273/317	101	306	11	3	32%	7%	64	-1.1
✕Erick Gonzalez 2011 · A	20	38	34→40	43→50	42	182/243/237	55	268	2	7	31%	7%	37	-3.3	210/295/284	74	272	3	10	22%	10%	68	-1.0	214/322/287	73	261	2	14	16%	13%	77	-0.1
✕Roberto Perez 2009 · A	20	33	38→45	43→30	39	167/229/240	73	245	7	3	34%	6%	34	-3.5	200/268/307	107	263	11	4	27%	7%	63	-1.3	189/266/312	123	228	15	1	24%	8%	65	-0.5
✕Randy Claxton 2007 · A	21	35	35→30	46→45	40	170/233/226	56	243	3	7	30%	6%	32	-3.7	195/281/257	62	265	2	6	25%	8%	57	-1.8	184/298/226	42	243	0	2	21%	10%	58	-0.6
✕Luis Paz 2016 · A	20	38→33	36→45	45→40	41	182/234/243	62	253	3	6	28%	6%	35	-3.4	194/238/319	125	289	13	4	36%	5%	55	-2.0	180/222/332	151	262	18	2	38%	5%	49	-1.2
✕Jake Gatewood 2017 · A	21	35→39	41→50	42→45	30	179/211/276	97	279	9	5	39%	4%	34	-3.5	189/231/310	121	299	13	5	39%	5%	50	-2.3	160/206/312	152	240	20	6	42%	4%	39	-2.1
✕Xavier Hernandez 2006 · A	20	36	36→40	49→30	36	173/233/232	59	289	4	5	39%	6%	32	-3.6	203/261/282	79	296	7	4	32%	6%	55	-2.0	201/260/275	74	277	8	0	29%	6%	54	-0.8
✕John Silviano 2014 · A	20	32→34	40→50	42→40	41	166/236/258	92	256	8	4	37%	8%	40	-3.0	183/239/276	93	328	8	5	43%	6%	45	-2.7	179/240/323	144	277	18	2	41%	7%	54	-1.0
✕David Washington 2010 · A	19	39	35→55	49→45	33	181/231/236	55	318	3	6	42%	5%	32	-3.6	192/249/297	105	309	10	6	38%	6%	53	-2.1	176/238/329	153	268	19	3	40%	7%	55	-0.7
✕Jose Paniagua 2013 · A	19	37	37→50	39→55	34	183/223/255	72	278	5	6	35%	4%	33	-3.6	184/240/275	91	268	7	9	32%	6%	45	-2.7	174/233/274	100	247	8	10	31%	6%	40	-1.2
✕Joey Curletta 2013 · A	19	39→48	36→50	48→45	35	180/239/242	62	304	3	5	40%	6%	37	-3.3	213/263/301	88	293	7	5	28%	6%	59	-1.6	207/272/364	156	289	20	4	34%	8%	77	-0.3
✕Dalton Smith 2014 · A	20	38	37→40	44→30	36	183/231/255	71	277	5	5	34%	5%	36	-3.3	193/250/279	86	277	7	5	31%	6%	50	-2.3	164/225/246	82	226	8	1	30%	6%	32	-1.3
✕Griffin Benson 2018 · A	20	39→25	35→45	48→30	39	185/241/238	54	281	3	4	34%	6%	36	-3.3	179/247/282	103	306	10	4	42%	7%	50	-2.3	151/228/273	122	263	13	2	45%	7%	39	-1.5
✕Carlos Quintana 2007 · A	20	41	34→40	42→40	33	185/233/237	52	322	2	6	41%	5%	33	-3.6	211/273/284	73	298	4	6	28%	7%	59	-1.6	214/278/283	69	296	4	8	27%	6%	59	-0.5
✕Ramy Perez 2015 · A	20	37	35→30	47→50	40	177/236/235	58	246	3	6	28%	6%	34	-3.5	194/241/256	62	251	2	8	23%	5%	40	-3.0	190/232/242	52	239	1	9	20%	4%	31	-1.2
✕Yonathan Mejia 2013 · A	20	41	35→40	45	37	199/230/255	56	262	4	5	25%	3%	35	-3.4	213/249/289	76	275	5	6	23%	4%	51	-2.3	214/248/293	79	270	5	6	22%	4%	50	-0.9
✕Santiago Rincon 2016 · A	19	34	40→45	43→40	27	161/215/254	93	321	8	4	50%	5%	31	-3.7	186/260/276	90	322	7	6	41%	7%	54	-2.0	133/243/197	64	227	6	4	40%	9%	32	-0.8
✕Jorge Parra 2014 · A	19	38	34→30	46→40	37	179/232/234	54	280	2	9	35%	6%	32	-3.6	193/247/254	61	282	2	6	30%	6%	42	-2.9	192/242/250	58	273	1	4	28%	5%	40	-1.0
✕Brody Westmoreland 2017 · A	21	40	38→45	52→30	30	171/230/248	78	350	5	5	50%	6%	36	-3.4	188/247/291	103	331	10	4	43%	6%	52	-2.2	159/219/269	110	264	15	1	44%	6%	36	-1.3
✕Ben Verlander 2015 · A	23	39→34	37→40	44→40	35	190/218/258	68	263	5	7	29%	3%	31	-3.7	190/235/267	77	267	5	4	29%	5%	40	-3.0	183/231/255	72	255	5	2	29%	5%	36	-1.9

Career Stats + Projections

Career Comps

Career Path Comps