Cedric Mullins — OGILVIE

Cedric MullinsCF Tampa Bay Rays

Age 31 L/L 5'7" / 175 lbs MLB Svc 8.000 · Ctrl thru 2027 peak 0.5 · 2027

wRC+†vL 6072vR 76

AVG/OBP/SLG.225 / .302 / .391

PA476

HR15

SB23

K%22

BB%9

MLB%100%

Scouting · now → future

HIT

40→40

PWR

40→40

SPD

60→60

EYE

52↗55

trajectory · 10 yrs

1.4peak

2026

Contract

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

Status FA

MLB Debut 2018

Service 8.000 yrs.days

Team Control Through 2027

First FA Year 2028

DEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$6M	+0.3	$1M	-$5M
2027	Ext / FA-deal	$10M	+0.5	$2M	-$8M
Totals		$16M		$3M	-$13M

Career Projections (MLE)

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	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
2016	21	A	Delmarva Shorebirds	559	533	113	28	6	13	21	132	1	30	6	.212	.243	.360	.603	.148	.256	24	4	.255	53	-29	+4	+0	+2	+16	-0.8
2017	22	AA	Bowie Baysox	350	323	77	16	1	12	17	77	0	9	7	.238	.276	.406	.682	.167	.271	22	5	.287	78	-9	-1	+0	+1	+10	0.1
2018	23	AAA	3 teams	678	625	156	32	8	14	42	121	5	23	4	.250	.302	.394	.696	.144	.289	18	6	.300	88	-9	+3	-1	+2	+19	1.4
2019	24	AAA	3 teams	606	550	104	16	4	10	34	119	5	34	7	.189	.243	.287	.530	.098	.219	20	6	.230	34	-45	+4	+2	+2	+17	-2.1
2020	25	MLB	Baltimore Orioles	153	140	38	4	3	3	8	37	1	7	2	.271	.315	.407	.723	.136	.350	24	5	.314	98	-0	+1	+3	+1	+4	0.9
2021	26	MLB	Baltimore Orioles	675	603	170	35	5	25	59	125	8	30	8	.282	.354	.481	.835	.199	.317	19	9	.361	134	+26	+3	+6	+2	+19	5.8
2022	27	MLB	Baltimore Orioles	672	610	154	32	4	17	47	126	9	34	10	.252	.315	.402	.717	.149	.290	19	7	.310	96	-3	+3	+8	+2	+19	2.9
2023	28	MLB	2 teams	475	424	96	23	3	14	43	104	1	19	4	.226	.299	.394	.693	.167	.265	22	9	.303	90	-5	+2	+3	+2	+13	1.5
2024	29	MLB	Baltimore Orioles	499	449	105	18	3	17	41	98	5	32	6	.234	.305	.401	.706	.167	.262	20	8	.312	97	-2	+4	-0	+2	+14	1.9
2025	30	MLB	New York Mets	498	435	90	23	1	16	50	120	4	22	4	.207	.294	.375	.669	.168	.243	24	10	.298	86	-8	+3	-1	+2	+14	1.1
▸ 2026 Season (actual · ROS · total)
2026	31	MLB	Tampa Bay Rays	85	78	12	2	1	2	3	18	2	4	1	.154	.205	.282	.487	.128	.169	21	4	.212	21	-8	+0	-1	+0	+2	-0.6
ROS	31	MLB	TB	391	352	75	16	2	12	32	85	4	19	4	.213	.286	.372	.658	.159	.245	22	8	.294	84	-7	+2	+1	+1	+11	0.8
TOT	31	MLB	TB	476	430	87	18	3	14	35	103	6	23	5	.202	.272	.356	.628	.153	.231	22	7	.280	72	-15	+3	-0	+2	+13	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB	TB	457	412	87	18	3	14	37	85	5	21	5	.211	.284	.371	.656	.160	.231	19	8	.290	80	-10	+2	-2	+2	+13	0.4
2028	33	MLB	TB	427	386	78	16	2	12	34	82	4	18	4	.202	.274	.347	.621	.145	.229	19	8	.284	75	-12	+2	-3	+2	+12	0.1
2029	34	MLB	TB	381	344	69	14	2	10	30	77	4	15	3	.201	.272	.340	.613	.140	.226	20	8	.277	70	-13	+2	-4	+1	+11	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			6821	6186	1412	291	47	189	495	1388	56	313	74	.228	.291	.382	.674	.154	.263	20	7	.294	84	-127	+33	+11	+24	+193	13.7
/ 162G	—			650	589	134	28	4	18	47	132	5	30	7	.228	.290	.380	.670	.153	.261	20	7	.294	84	-12	+3	+1	+2	+18	1.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2016	21	A	Delmarva Shorebirds	559	517	141	37	10	14	37	101	1	30	6	.273	.323	.464	.787	.191	.314	18	7	.343	121	+13	+4	—	—	+16	3.3
2017	22	AA	Bowie Baysox	350	309	82	19	1	13	27	58	0	9	7	.265	.321	.460	.780	.194	.283	17	8	.332	112	+5	-1	—	—	+10	1.4
2018	23	MLB	Baltimore Orioles	191	170	40	9	0	4	17	37	2	2	3	.235	.312	.359	.671	.124	.279	19	9	.302	89	-2	-1	-1	+2	+5	0.3
2018	23	AAA	Norfolk Tides	269	242	65	17	3	6	22	39	2	12	0	.269	.335	.438	.773	.169	.298	14	8	.339	118	+5	+2	—	—	+8	1.6
2018	23	AA	Bowie Baysox	218	201	63	12	5	6	15	28	1	9	1	.313	.364	.512	.876	.199	.339	13	7	.382	151	+13	+1	—	—	+6	2.1
2019	24	MLB	Baltimore Orioles	74	64	6	0	2	0	4	14	3	1	0	.094	.183	.156	.339	.062	.118	19	5	.160	-19	-10	+0	+2	+2	+2	-0.4
2019	24	AAA	Norfolk Tides	306	268	55	8	2	5	25	51	1	13	4	.205	.274	.306	.580	.101	.231	17	8	.256	54	-16	+1	—	—	+9	-0.6
2019	24	AA	Bowie Baysox	226	199	54	11	0	5	22	31	1	20	3	.271	.347	.402	.749	.131	.293	14	10	.332	112	+3	+3	—	—	+6	1.3
2020	25	MLB	Baltimore Orioles	153	140	38	4	3	3	8	37	1	7	2	.271	.315	.407	.723	.136	.350	24	5	.313	98	-0	+1	+3	+1	+4	0.9
2021	26	MLB	Baltimore Orioles	675	602	175	37	5	30	59	125	8	30	8	.291	.361	.518	.879	.228	.322	19	9	.383	151	+39	+3	+6	+2	+19	7.1
2022	27	MLB	Baltimore Orioles	672	608	157	32	4	16	47	126	9	34	10	.258	.320	.403	.723	.145	.299	19	7	.320	103	+3	+3	+8	+2	+19	3.5
2023	28	MLB	Baltimore Orioles	455	404	94	23	3	15	43	101	1	19	3	.233	.308	.416	.724	.183	.271	22	9	.317	101	+0	+3	+3	+2	+13	2.1
2023	28	AA	Bowie Baysox	20	20	3	0	0	0	0	2	0	0	1	.150	.150	.150	.300	.000	.167	10	0	.136	-38	-3	-0	—	—	+1	-0.3
2024	29	MLB	Baltimore Orioles	499	444	104	16	3	18	41	98	5	32	6	.234	.303	.405	.708	.171	.261	20	8	.312	97	-2	+4	-0	+2	+14	1.9
2025	30	MLB	New York Mets	498	435	94	23	1	17	50	120	4	22	4	.216	.303	.391	.693	.175	.253	24	10	.306	92	-4	+3	-1	+2	+14	1.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			3217	2867	708	144	21	103	269	658	33	147	36	.247	.318	.420	.738	.173	.284	20	8	.324	106	+23	+15	+19	+15	+91	16.7

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
Cedric Mullins (OGILVIE)	31	40	40	60	55	.212/.284/.371	.159	.232	15	24	18%	8%	84	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kevin Kiermaier 2021 · MLB	31	45→55	49→55	58→55	47	.228/.292/.389	.161	.276	16	21	24%	8%	90	+1.0	.245/.311/.385	.140	.315	13	17	25%	8%	96	+1.5	.255/.318/.395	.140	.326	12	17	24%	7%	96	+0.8
✕George Lombard 2007 · MLB	31	45→44	50	58→55	43	.227/.298/.386	.160	.309	18	24	31%	8%	92	+1.2	.227/.292/.366	.139	.321	15	23	32%	8%	84	+0.6	.220/.287/.329	.109	.314	12	32	32%	8%	69	-0.1
✕Dewayne Wise 2009 · MLB	31	48→40	52→60	59→55	42	.246/.291/.425	.180	.289	18	23	22%	5%	99	+1.7	.241/.281/.401	.160	.291	15	20	22%	4%	89	+0.9	.241/.277/.398	.157	.296	15	27	24%	4%	82	+0.2
✕Leonys Martin 2019 · MLB	31	48→55	48→50	54→60	44	.242/.297/.386	.144	.302	16	22	25%	7%	91	+1.1	.227/.294/.380	.153	.288	18	13	27%	8%	89	+0.9	.195/.271/.338	.143	.246	21	9	30%	8%	68	-0.2
✕Jace Peterson 2021 · MLB	31	48→57	47→50	55	53	.236/.314/.383	.147	.285	14	19	22%	10%	98	+1.6	.235/.321/.376	.141	.299	15	18	24%	11%	98	+1.6	.224/.316/.346	.123	.287	12	20	25%	11%	82	+0.3
✕Wynton Bernard 2023 · MLB	32	48→58	47→45	60	43	.241/.287/.383	.142	.290	14	29	22%	6%	85	+0.7	.241/.289/.358	.117	.302	11	33	23%	6%	80	+0.4	.237/.288/.336	.099	.302	8	39	23%	6%	70	-0.2
✕Reggie Taylor 2008 · MLB	31	51→58	49→50	52→55	47	.256/.308/.405	.149	.294	17	24	20%	6%	101	+1.8	.248/.293/.396	.148	.290	17	18	20%	6%	92	+1.2	.233/.270/.371	.137	.276	14	12	21%	5%	75	+0.0
✕Chase d'Arnaud 2019 · MLB	32	47→49	46→45	56→60	46	.231/.293/.361	.130	.293	13	24	25%	7%	83	+0.6	.201/.267/.327	.126	.287	14	17	33%	7%	64	-0.8	.155/.226/.250	.096	.233	11	15	37%	6%	25	-2.1
✕Andy Fox 2002 · MLB	31	46→53	45→40	51→60	54	.230/.314/.354	.125	.267	13	15	19%	10%	91	+1.1	.231/.314/.327	.096	.286	8	24	20%	9%	83	+0.6	.236/.322/.314	.078	.297	4	31	20%	9%	76	+0.0
✕Adam Engel 2023 · MLB	31	48	47→50	54→60	41	.238/.294/.376	.138	.307	14	23	26%	6%	88	+0.9	.211/.287/.344	.133	.316	14	24	35%	8%	76	+0.1	.174/.267/.305	.130	.277	14	30	39%	10%	56	-0.8
✕Jason Repko 2012 · MLB	31	45→48	46→50	53→55	44	.227/.283/.349	.122	.282	14	21	25%	6%	76	+0.0	.217/.276/.349	.132	.279	14	14	27%	6%	73	-0.1	.190/.253/.336	.146	.240	15	10	27%	6%	56	-0.5
✕Jonathan Davis 2023 · MLB	31	47→52	41→45	57→55	51	.221/.317/.321	.100	.298	9	27	27%	10%	84	+0.6	.221/.298/.344	.123	.304	11	18	29%	8%	82	+0.5	.208/.284/.336	.128	.293	11	14	31%	7%	70	-0.1
✕Dylan Moore 2023 · MLB	30	44→48	52→50	57→65	52	.221/.329/.392	.171	.290	19	34	29%	11%	108	+2.3	.214/.318/.385	.171	.289	18	32	30%	11%	101	+1.8	.199/.301/.374	.174	.267	20	37	31%	10%	88	+0.4
✕Corey Patterson 2011 · MLB	31	47→55	45→55	53→60	41	.235/.273/.364	.129	.284	13	26	22%	5%	75	-0.0	.227/.260/.350	.123	.280	12	22	23%	4%	66	-0.6	.209/.237/.325	.116	.255	11	19	23%	3%	46	-1.2
✕Jason Pridie 2015 · AAA	31	46→53	45→50	55	42	.232/.275/.356	.124	.290	13	18	25%	6%	73	-0.1	.245/.293/.397	.152	.300	18	19	24%	6%	92	+1.2	.257/.308/.427	.170	.309	21	19	23%	6%	105	+1.9
✕Tim Locastro 2022 · MLB	30	47→52	45	56→60	46	.231/.321/.355	.124	.275	11	25	20%	6%	95	+1.4	.213/.294/.340	.127	.263	12	24	23%	5%	80	+0.4	.211/.301/.325	.114	.266	11	36	23%	5%	76	+0.0
✕Rafael Ortega 2021 · MLB	30	45→54	48→55	53→55	49	.229/.291/.377	.147	.267	15	16	21%	8%	86	+0.8	.239/.315/.390	.151	.287	17	18	22%	10%	100	+1.7	.228/.317/.360	.132	.274	14	21	21%	11%	89	+0.7
✕Ryan Roberts 2012 · MLB	31	47→52	48→50	50→55	55	.237/.316/.381	.145	.274	15	18	20%	10%	98	+1.6	.232/.297/.359	.127	.276	14	12	20%	8%	84	+0.6	.227/.280/.345	.118	.268	12	2	20%	7%	70	-0.2
✕Pokey Reese 2002 · MLB	29	48→55	45	59→55	51	.238/.300/.365	.128	.266	13	27	16%	8%	87	+0.8	.239/.302/.341	.102	.287	9	20	19%	8%	81	+0.4	.237/.299/.315	.078	.294	6	17	20%	8%	67	-0.2
✕Damian Jackson 2006 · MLB	32	51→54	44→45	53→55	54	.248/.321/.362	.114	.283	12	25	17%	9%	95	+1.4	.237/.319/.383	.146	.288	16	14	22%	9%	100	+1.7	.193/.289/.361	.168	.250	18	4	29%	9%	82	+0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)