Emmanuel Cedeno — OGILVIE

Emmanuel Cedeno2B FCL Rays

Age 18 S/R 5'9" / 160 lbs ROK HR +6%H +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION243 act + 24 ros · stats below = ROS only

showingROS

wRC+†73

AVG/OBP/SLG.190 / .292 / .238

PA24

HR0

K%21

BB%12

BABIP270

ISO48

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$41M ctrl surplus

Tools · ContractCON 60 / POW 20

Toolsscout grade

CONTACT60

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED55

scouting grade only

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	+0.9	$2M	+$2M
2033	Pre-Arb	$1.0M	+1.0	$5M	+$4M
2034	Pre-Arb	$1.0M	+1.0	$4M	+$4M
2035	Arb-1	$4M	+1.0	$4M	+$2M
2036	Arb-2	$7M	+0.9	$2M	+$0.0M (cut)
2037	Arb-3	$9M	+0.8	$1M	+$0.0M (cut)
Totals		$7M		$18M	+$12M

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.

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	17	ROK	DSL Rays	—	212	158	48	4	1	1	48	12	1	14	5	304	469	361	829	57	322	6	23	382	145	+11	+1	—	—	+5	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rays	—	212	177	45	3	1	1	29	17	1	14	5	254	362	299	662	45	267	8	14	298	88	-3	+1	—	—	+5	0.2
2025	17	ROK MLE	DSL Rays	—	212	177	45	3	1	1	29	17	1	14	5	254	362	299	662	45	275	8	14	298	88	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rays	—	212	158	48	4	1	1	48	12	1	14	5	304	469	361	829	57	322	6	23	382	88	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rays	—	212	180	45	3	1	1	29	17	1	14	5	250	362	294	657	44	267	8	14	298	88	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Rays	—	212	180	45	3	1	1	29	17	1	14	5	250	362	294	657	44	267	8	14	298	88	—	—	—	—	—	—
YTD	18	ROK MLE	TB	—	243	203	36	6	2	1	30	40	6	17	2	177	301	241	543	64	213	16	12	249	55	-13	+3	+0	+1	+5	-0.4
▸ 2026 season
YTD	18	ROK RAW	TB	—	243	184	41	7	3	1	49	28	6	17	2	223	402	310	711	87	255	12	20	336	55	—	—	—	—	—	—
ROS	18	ROK MLE	TB	0%	24	21	4	1	0	0	3	5	0	1	0	190	292	238	530	48	262	21	12	277	73	-1	+0	+0	+0	+1	0.0
TOT	18	ROK MLE	TB	—	267	224	40	7	2	1	33	45	6	18	2	179	300	241	541	62	217	17	12	251	56	-14	+3	+0	+1	+6	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	TB	34%	295	257	55	9	2	3	32	58	4	7	1	214	311	300	610	86	268	20	11	289	82	-6	+1	+0	+1	+6	0.2
2028	20	MLB MLE	TB	48%	411	357	80	13	3	6	45	80	6	9	2	224	321	328	649	104	271	19	11	298	88	-6	+1	+0	+1	+9	0.6
2029	21	MLB MLE	TB	54%	496	431	99	17	4	8	54	96	8	11	2	230	327	343	670	114	273	19	11	305	92	-5	+1	+0	+2	+11	1.0
2030	22	MLB MLE	TB	57%	556	482	112	19	4	10	60	107	9	12	2	232	328	351	679	118	274	19	11	309	95	-3	+2	+0	+2	+12	1.3
2031	23	MLB MLE	TB	58%	596	517	120	20	4	11	65	113	9	13	2	232	328	350	678	118	275	19	11	311	97	-2	+2	+0	+2	+13	1.5
2032	24	MLB MLE	TB	57%	620	537	126	21	5	12	68	117	10	14	3	235	332	359	691	125	276	19	11	313	98	-1	+2	+0	+2	+13	1.6
2033	25	MLB MLE	TB	57%	630	546	130	22	5	13	69	119	10	14	3	238	334	368	703	130	276	19	11	314	99	-1	+2	+0	+2	+14	1.7
2034	26	MLB MLE	TB	57%	636	551	130	22	5	13	70	120	10	14	3	236	333	365	698	129	276	19	11	314	99	-1	+2	+0	+2	+14	1.7
2035	27	MLB MLE	TB	55%	635	550	130	22	5	13	70	120	10	14	3	236	333	365	699	129	276	19	11	315	99	-1	+2	+0	+2	+14	1.7
2036	28	MLB MLE	TB	55%	630	545	126	21	4	12	70	120	10	13	2	231	330	350	680	119	275	19	11	314	98	-1	+2	-1	+2	+14	1.6
2037	29	MLB MLE	TB	53%	620	535	124	21	4	12	70	120	10	13	2	232	332	353	685	121	275	19	11	312	97	-2	+2	-1	+2	+13	1.4
2038	30	MLB MLE	TB	53%	609	525	121	20	4	11	69	119	10	12	2	230	331	347	678	116	274	20	11	309	95	-3	+2	-2	+2	+13	1.2
2039	31	MLB MLE	TB	57%	595	514	117	19	4	11	67	118	9	11	2	228	327	344	671	117	271	20	11	305	93	-5	+1	-3	+2	+13	0.8
2040	32	MLB MLE	TB	54%	576	497	112	18	4	10	65	117	9	10	2	225	326	338	664	113	268	20	11	300	89	-8	+1	-4	+2	+12	0.5
2041	33	MLB MLE	TB	58%	547	473	103	16	3	9	61	114	8	9	2	218	317	321	639	104	265	21	11	293	85	-10	+1	-4	+2	+12	0.1
2042	34	MLB MLE	TB	53%	499	434	90	13	3	7	55	107	7	8	1	207	306	300	606	92	260	21	11	285	79	-12	+1	-5	+2	+11	-0.4
2027	19	MLB CTX	TB	34%	101	88	19	3	1	1	11	20	1	2	0	216	310	307	617	91	275	20	11	285	82	-2	+0	+0	+0	+2	0.1
2028	20	MLB CTX	TB	48%	199	172	41	7	2	3	22	39	3	5	1	238	335	355	690	116	279	20	11	294	88	-3	+1	+0	+1	+4	0.3
2029	21	MLB CTX	TB	54%	269	234	56	10	2	5	29	52	4	6	1	239	333	363	697	124	281	19	11	300	92	-2	+1	+0	+1	+6	0.5
2030	22	MLB CTX	TB	57%	315	273	64	11	2	6	34	60	5	7	1	234	330	355	685	121	283	19	11	304	95	-2	+1	+0	+1	+7	0.7
2031	23	MLB CTX	TB	58%	343	298	72	12	3	7	37	65	5	8	1	242	335	372	708	131	283	19	11	307	97	-1	+1	+0	+1	+7	0.9
2032	24	MLB CTX	TB	57%	353	305	74	13	3	7	39	67	6	8	1	243	340	374	714	131	284	19	11	309	98	-1	+1	+0	+1	+8	0.9
2033	25	MLB CTX	TB	57%	357	309	75	13	3	7	39	67	6	8	1	243	339	372	711	129	284	19	11	309	99	-1	+1	+0	+1	+8	1.0
2034	26	MLB CTX	TB	57%	360	311	75	13	3	7	40	68	6	8	1	241	339	370	709	129	284	19	11	310	99	-0	+1	+0	+1	+8	1.0
2035	27	MLB CTX	TB	55%	352	304	74	13	3	7	39	67	6	8	1	243	341	375	716	132	284	19	11	310	99	-0	+1	+0	+1	+8	1.0
2036	28	MLB CTX	TB	55%	346	298	72	12	3	7	39	66	6	7	1	242	341	372	714	131	284	19	11	309	98	-1	+1	-0	+1	+7	0.9
2037	29	MLB CTX	TB	53%	332	287	69	12	2	7	37	64	5	7	1	240	337	369	707	129	283	19	11	307	97	-1	+1	-1	+1	+7	0.8
2038	30	MLB CTX	TB	53%	321	277	65	11	2	6	36	63	5	6	1	235	333	354	687	119	282	20	11	304	95	-2	+1	-1	+1	+7	0.6
2039	31	MLB CTX	TB	57%	336	290	67	11	2	6	38	67	5	6	1	231	330	345	675	114	279	20	11	300	93	-3	+1	-2	+1	+7	0.5
2040	32	MLB CTX	TB	54%	313	270	61	10	2	5	35	63	5	6	1	226	326	333	659	107	276	20	11	295	89	-4	+1	-2	+1	+7	0.3
2041	33	MLB CTX	TB	58%	316	273	61	10	2	5	35	66	5	5	1	223	323	330	652	106	272	21	11	288	85	-6	+1	-2	+1	+7	0.0
2042	34	MLB CTX	TB	53%	266	230	51	8	2	4	30	57	4	4	1	222	322	326	648	104	267	21	11	280	79	-7	+0	-3	+1	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4879	4219	996	169	37	90	540	951	77	101	15	236	334	358	691	122	283	19	11	302	93	-36	+14	-11	+17	+106	9.2
/ 162G	—	A+C		—	650	562	133	23	5	12	72	127	10	13	2	237	334	359	693	123	283	20	11	302	93	-5	+2	-1	+2	+14	1.2
Career	—	MLE		—	9187	7949	1824	297	64	162	1022	1767	140	199	39	229	328	344	672	115	274	19	11	306	93	-69	+23	-20	+32	+194	16.4
/ 162G	—	MLE		—	650	562	129	21	5	11	72	125	10	14	3	230	327	343	671	114	275	19	11	306	93	-5	+2	-1	+2	+14	1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Kolten Wonglast yr '23 career totals — 11 seasons, 4,283 PA	6.5	4,283	86	120	256	330	390	+15	+21	18.4	17.8
/162	664	13	19	+2.4	+3.2	2.8	pk7: 17
#2Aaron Hickslast yr '24 career totals — 12 seasons, 3,651 PA	5.5	3,651	109	71	231	330	383	+7	-9	11.8	12.4
/162	664	20	13	+1.3	-1.6	2.1	pk7: 13
#3Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	7.7	5,084	90	105	230	324	346	+18	+10	12.7	10.3
/162	664	12	14	+2.4	+1.3	1.7	pk7: 8
#4Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#5Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#6Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 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
Emmanuel Cedeno (OGILVIE)	18	60	20	55	60	208/308/281	72	262	1	8	20%	11%	73	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Xavier Edwards 2019 · A	19	52→62	37→40	56→60	50	245/307/319	74	309	3	18	21%	8%	80	-0.2	250/296/311	61	297	1	19	15%	6%	73	-0.6	302/361/382	79	347	4	36	13%	8%	110	+1.8
✕Angel Genao 2022 · A	18	45→55	37→45	59→50	55	210/300/285	75	272	4	16	22%	11%	70	-0.8	230/288/322	92	306	6	11	25%	7%	74	-0.6	262/318/385	123	318	10	13	20%	7%	97	+0.9
✕Jaison Chourio 2023 · A	18	47→51	38→40	54→55	58	220/315/307	86	277	4	15	20%	12%	81	-0.1	224/315/307	83	317	4	21	27%	12%	81	-0.1	223/313/312	89	304	7	28	26%	11%	80	-0.1
✕Leo Rivas 2016 · A	18	44→54	37→40	52→65	44	204/291/284	80	291	3	16	28%	8%	68	-1.0	208/298/282	74	292	3	17	27%	10%	69	-0.9	241/356/333	92	321	9	44	24%	14%	102	+1.0
✕Jorge Minyety 2009 · A	18	48	35→30	46→50	58	220/319/290	70	282	1	13	20%	12%	79	-0.2	212/291/271	59	290	2	11	25%	10%	63	-1.3	201/280/240	38	279	0	11	25%	10%	48	-0.6
✕Rubén Tejada 2008 · A	18	50→60	38→40	51→50	50	237/313/315	78	287	5	13	18%	8%	82	-0.0	227/281/295	68	274	3	9	17%	6%	65	-1.2	245/328/327	82	296	5	2	17%	9%	81	-0.0
✕Carlos Arroyo 2019 · A	18	50	35→30	50	51	231/310/281	51	284	3	13	19%	8%	74	-0.6	221/279/288	67	257	4	15	15%	6%	63	-1.4	183/236/245	62	242	4	19	25%	4%	36	-1.1
✕Hancer Vargas 2007 · A	18	53	35→30	49→50	52	243/298/305	62	269	3	9	11%	7%	73	-0.6	210/256/252	42	272	1	11	22%	5%	45	-2.7	194/234/209	16	259	0	14	24%	4%	24	-1.6
✕Alvaro Montero 2018 · A	18	48	35→30	52→60	54	219/315/281	62	294	3	16	24%	11%	76	-0.4	215/296/270	55	306	2	18	27%	9%	65	-1.2	232/319/263	31	312	0	30	23%	9%	71	-0.4
✕Osleivis Basabe 2019 · A	18	51→61	38→45	49→50	48	238/291/324	86	288	3	12	18%	7%	74	-0.5	234/279/310	76	290	3	12	19%	5%	66	-1.1	270/316/373	102	329	4	17	18%	5%	92	+0.5
✕Luis Durango 2006 · A	20	55→65	34→30	46→60	53	252/333/305	53	307	2	16	17%	9%	87	+0.4	267/335/325	58	322	2	16	16%	8%	91	+0.7	287/355/328	41	342	0	24	15%	9%	96	+0.7
✕Pedro Ramírez 2022 · A	18	53→55	38→45	48→55	44	248/296/336	88	294	3	10	17%	5%	79	-0.2	237/290/338	101	301	7	13	23%	6%	78	-0.3	255/308/363	108	313	9	21	21%	6%	87	+0.3
✕Alexander Albertus 2023 · A	18	50	36→45	55→45	57	230/329/297	67	301	2	9	22%	12%	84	+0.2	231/325/325	94	288	8	10	21%	11%	89	+0.5	229/319/329	99	290	10	8	22%	11%	86	+0.1
●Geraldo Perdomo 2019 · A	19	46→56	36→45	53→55	55	213/301/277	64	275	3	17	22%	11%	69	-0.9	218/303/296	78	282	4	15	22%	9%	74	-0.5	257/357/385	127	281	12	19	12%	12%	112	+2.1
✕Vidal Bruján 2016 · A	18	50→59	37→45	50→65	55	230/302/309	79	254	4	17	11%	8%	76	-0.4	236/293/327	91	268	5	17	13%	6%	76	-0.4	251/307/352	102	294	6	34	16%	7%	84	+0.1
✕Michael Chirinos 2019 · A	19	49	36→40	51→55	56	226/296/292	67	252	4	11	12%	9%	70	-0.8	223/285/300	77	247	6	14	12%	8%	68	-1.0	217/274/284	67	224	7	22	7%	7%	65	-0.5
✕Yonny Hernández 2017 · A	19	47→57	34→30	53→60	52	216/292/271	55	261	1	19	16%	8%	64	-1.3	225/304/280	55	278	1	24	18%	9%	70	-0.8	265/327/322	57	316	2	17	16%	7%	84	+0.1
✕Lurvin Basabe 2008 · A	18	48	35→30	47→55	55	223/303/284	61	272	3	15	18%	10%	71	-0.8	203/267/268	65	275	4	14	25%	7%	53	-2.1	125/191/170	45	173	4	22	29%	6%	3	-1.0
✕Cristofer Torin 2023 · A	18	50	36→40	53→50	57	230/320/300	70	279	2	19	17%	11%	82	-0.0	219/297/293	74	273	5	14	20%	9%	71	-0.8	230/298/322	93	274	8	10	18%	8%	75	-0.4
✕Kelvin Alarcon 2017 · A	18	47	34→30	51→55	58	211/319/262	51	303	2	14	27%	13%	73	-0.6	204/290/262	58	296	3	9	29%	10%	61	-1.5	203/265/239	35	320	0	8	34%	8%	43	-0.6

Career Stats + Projections

Career Comps

Career Path Comps