Hunter Feduccia — OGILVIE

Hunter FeducciaC Tampa Bay Rays

Age 29 L/R 6'1" / 215 lbs MLB Svc 0.552 · Ctrl thru 2031 peak 0.3 · 2026

wRC+†vL -9567vR 66

AVG/OBP/SLG.191 / .286 / .300

PA250

HR4

K%27

BB%11

MLB%100%

Scouting · now → future

HIT

55→55

PWR

50→50

SPD

45→45

EYE

60→60

trajectory · 10 yrs

0.3peak

2027

Contract

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

Status Pre-Arb

MLB Debut 2025

Service 0.552 yrs.days

Team Control Through 2031

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2027	Pre-Arb	$0.8M	+0.2	$0.8M	+$0.0M
2028	Pre-Arb	$0.8M	+0.1	$0.4M	+$0.0M (cut)
2029	Arb-1	$0.2M	—	—	—
2030	Arb-2	$0.4M	—	—	—
2031	Arb-3	$0.6M	—	—	—
Totals		$-2M		$-2M	+$0.4M

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
2018	21	A	Great Lakes Loons	119	105	27	5	0	0	10	38	1	1	0	.257	.328	.305	.632	.048	.391	32	8	.286	77	-3	+0	+0	+2	+3	0.3
2019	22	A	2 teams	305	268	59	15	1	3	32	78	0	2	2	.220	.303	.317	.620	.097	.295	26	10	.281	73	-9	-0	+0	+5	+9	0.5
2021	24	AA	Tulsa Drillers	327	297	63	7	1	10	26	84	1	0	0	.212	.278	.343	.621	.131	.257	26	8	.270	65	-13	+0	+0	+6	+9	0.2
2022	25	AA	2 teams	338	307	59	16	1	12	28	108	1	0	0	.192	.262	.368	.630	.176	.249	32	8	.275	68	-12	+0	+0	+6	+10	0.4
2023	26	AAA	Oklahoma City Dodgers	380	336	73	14	1	8	41	102	0	0	0	.217	.302	.336	.639	.119	.284	27	11	.291	81	-8	+0	+0	+7	+11	1.0
2024	27	AAA	Oklahoma City Baseball Club	350	304	72	15	2	5	40	94	3	2	1	.237	.331	.349	.680	.112	.322	27	11	.307	93	-3	+0	+0	+6	+10	1.4
2025	28	AAA	2 teams	438	382	87	17	3	7	49	119	1	3	0	.228	.317	.343	.660	.115	.305	27	11	.295	84	-8	+1	+0	+8	+12	1.3
▸ 2026 Season (actual · ROS · total)
2026	29	MLB	Tampa Bay Rays	32	27	6	0	0	0	5	12	0	0	0	.222	.344	.222	.566	.000	.400	38	16	.276	69	-1	+0	-0	+1	+1	0.0
ROS	29	MLB	TB	218	190	38	7	1	4	25	61	1	1	0	.200	.296	.311	.607	.111	.265	28	11	.273	67	-8	+0	+1	+4	+6	0.3
TOT	29	MLB	TB	250	217	44	7	1	4	30	73	1	1	0	.203	.302	.300	.602	.097	.284	29	12	.273	67	-9	+0	+0	+4	+7	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	30	MLB	TB	380	332	67	12	2	7	43	97	2	1	0	.202	.297	.313	.610	.111	.256	26	11	.275	69	-13	+0	-1	+7	+11	0.3
2028	31	MLB	TB	354	310	62	11	2	6	39	91	2	0	0	.200	.293	.306	.600	.106	.258	26	11	.275	69	-12	+0	-2	+6	+10	0.2
2029	32	MLB	TB	325	284	56	10	1	6	36	85	2	0	0	.197	.292	.303	.595	.106	.258	26	11	.273	67	-12	+0	-3	+6	+9	0.0
2030	33	MLB	TB	288	254	50	9	1	5	31	77	1	0	0	.197	.287	.299	.586	.102	.258	27	11	.269	64	-12	+0	-3	+5	+8	-0.2
2031	34	MLB	TB	239	210	40	7	1	4	26	66	1	0	0	.190	.283	.290	.573	.100	.256	28	11	.263	59	-11	+0	-4	+4	+7	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			4061	3579	753	145	17	77	426	1100	16	10	3	.210	.297	.325	.622	.115	.278	27	10	.280	73	-125	+1	-12	+73	+115	5.2
/ 162G	—			650	573	120	23	3	12	68	176	3	2	0	.209	.297	.323	.619	.113	.277	27	10	.280	73	-20	+0	-2	+12	+18	0.9

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
2018	21	A	Great Lakes Loons	119	100	29	6	0	0	15	31	1	1	0	.290	.388	.350	.738	.060	.408	26	13	.334	114	+2	+0	—	—	+3	0.6
2019	22	A+	Rancho Cucamonga Quakes	82	71	17	1	1	0	9	19	0	1	2	.239	.325	.282	.607	.042	.327	23	11	.277	71	-3	-1	—	—	+2	-0.1
2019	22	A	Great Lakes Loons	223	184	53	17	1	4	36	42	0	1	0	.288	.405	.457	.861	.168	.348	19	16	.381	150	+13	+0	—	—	+6	1.9
2021	24	AA	Tulsa Drillers	327	284	72	9	1	10	39	62	1	0	0	.254	.346	.398	.744	.144	.288	19	12	.333	113	+5	+0	—	—	+9	1.4
2022	25	AAA	Oklahoma City Dodgers	168	150	36	14	0	7	17	45	1	0	0	.240	.321	.473	.795	.233	.296	27	10	.349	126	+5	+0	—	—	+5	1.0
2022	25	AA	Tulsa Drillers	170	144	34	6	1	8	24	38	0	0	0	.236	.345	.458	.804	.222	.260	22	14	.352	128	+5	+0	—	—	+5	1.0
2023	26	AAA	Oklahoma City Dodgers	380	319	89	18	2	11	58	79	0	0	0	.279	.390	.451	.841	.172	.336	21	15	.374	144	+19	+0	—	—	+11	3.0
2024	27	AAA	Oklahoma City Baseball Club	350	285	81	17	3	6	59	72	3	2	1	.284	.412	.428	.840	.144	.357	21	17	.378	147	+19	+0	—	—	+10	2.9
2025	28	MLB	Tampa Bay Rays	105	88	13	5	0	0	15	29	0	1	0	.148	.272	.205	.476	.057	.213	28	14	.230	34	-8	+0	+0	+8	+3	0.4
2025	28	AAA	Oklahoma City Comets	333	276	80	14	4	9	52	71	1	2	0	.290	.404	.467	.872	.178	.355	21	16	.385	153	+20	+0	—	—	+9	3.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			105	88	13	5	0	0	15	29	0	1	0	.148	.272	.205	.476	.057	.213	28	14	.230	34	-8	+0	+0	+8	+3	0.4

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
Hunter Feduccia (OGILVIE)	29	55	50	45	60	.194/.291/.297	.102	.253	4	1	25%	12%	67	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Asuaje 2021 · MLB	29	44→54	42→45	45	49	.215/.287/.323	.108	.261	9	5	21%	8%	71	-0.3	.224/.291/.325	.101	.268	7	12	18%	8%	72	-0.2	.223/.293/.304	.081	.267	3	12	16%	8%	65	-0.3
✕Rob Johnson 2011 · MLB	29	47→52	42→45	41→50	51	.226/.296/.335	.110	.273	8	5	20%	8%	77	+0.1	.207/.274/.317	.110	.259	10	7	23%	8%	63	-0.8	.194/.249/.297	.103	.237	11	5	23%	6%	43	-0.8
✕Vimael Machín 2023 · MLB	29	49→55	41→45	46→45	51	.236/.304/.341	.105	.282	8	3	19%	8%	82	+0.5	.236/.296/.351	.115	.282	11	7	20%	7%	81	+0.4	.237/.287/.374	.136	.281	16	11	21%	6%	82	+0.3
✕Juan Centeno 2019 · MLB	29	49	40→45	42→40	45	.236/.279/.324	.088	.280	8	3	19%	5%	66	-0.6	.226/.278/.316	.090	.270	8	6	19%	6%	64	-0.8	.236/.285/.353	.116	.279	12	2	19%	5%	73	-0.1
✕Tug Hulett 2012 · MLB	29	44→54	43→45	45→50	50	.216/.284/.333	.117	.266	10	9	22%	8%	72	-0.2	.236/.290/.339	.103	.298	8	9	22%	7%	76	+0.0	.256/.307/.337	.081	.327	5	6	22%	7%	81	+0.2
✕Jason Jaramillo 2012 · MLB	29	48→53	40→45	46→40	48	.230/.288/.323	.093	.276	7	5	19%	7%	71	-0.3	.210/.265/.292	.082	.267	6	5	22%	6%	53	-1.5	.190/.245/.257	.067	.245	4	2	23%	6%	32	-1.4
✕Nate Mondou 2023 · AAA	28	45→54	43→45	42→50	47	.220/.291/.332	.112	.273	9	3	22%	7%	76	+0.0	.224/.298/.334	.110	.287	9	8	23%	8%	78	+0.2	.227/.303/.326	.099	.291	8	9	23%	9%	76	+0.1
✕Bryan Anderson 2016 · MLB	29	42→52	44→45	44→30	42	.208/.264/.326	.118	.283	11	4	30%	7%	62	-0.9	.203/.256/.318	.115	.294	11	6	33%	6%	56	-1.3	.169/.219/.289	.121	.247	10	0	35%	4%	31	-0.8
✕Brett Sullivan 2023 · AAA	29	43→52	43→50	48→55	46	.213/.264/.329	.116	.243	10	7	18%	6%	62	-0.9	.219/.273/.346	.127	.250	12	8	17%	6%	70	-0.3	.206/.263/.334	.128	.233	12	8	18%	7%	62	-0.6
✕Russ Adams 2010 · MLB	29	46→53	44→50	47→45	47	.227/.280/.345	.118	.263	12	8	19%	6%	73	-0.1	.222/.273/.358	.136	.256	15	8	19%	6%	74	-0.1	.219/.270/.379	.160	.245	19	5	19%	6%	76	+0.1
✕Kris Watts 2013 · AAA	29	44→53	41→45	47→30	51	.214/.294/.314	.100	.256	8	3	19%	8%	72	-0.2	.213/.291/.319	.106	.264	9	6	22%	8%	72	-0.2	.199/.292/.300	.101	.241	10	0	20%	9%	66	-0.2
✕Bryan Holaday 2017 · MLB	29	45	43→45	43→40	41	.224/.271/.334	.110	.277	10	5	23%	5%	66	-0.6	.227/.279/.354	.127	.262	13	3	19%	5%	76	+0.0	.217/.286/.341	.124	.252	13	2	19%	7%	71	-0.1
✕Paul Bako 2001 · MLB	29	49	42→45	48→40	52	.232/.312/.338	.106	.304	9	5	25%	10%	85	+0.7	.229/.307/.342	.113	.289	9	4	22%	10%	84	+0.6	.225/.303/.330	.105	.281	6	1	20%	10%	70	-0.1
✕Anthony Bemboom 2019 · AAA	29	41	40→45	45	47	.202/.269/.296	.094	.262	8	6	25%	8%	56	-1.3	.202/.267/.317	.115	.265	12	5	27%	7%	61	-1.0	.199/.271/.309	.111	.257	12	2	26%	8%	58	-0.4
✕Andy González 2011 · MLB	29	45→52	42→40	46→50	47	.220/.289/.317	.097	.281	11	9	25%	8%	70	-0.3	.224/.295/.334	.110	.277	11	6	22%	9%	77	+0.1	.217/.295/.327	.110	.262	11	3	21%	9%	74	-0.0
●Daniel Descalso 2016 · MLB	29	46→54	43→50	41→45	52	.226/.296/.341	.114	.265	10	7	19%	9%	79	+0.3	.239/.330/.386	.147	.291	15	6	21%	12%	105	+2.1	.238/.343/.404	.166	.294	16	4	23%	13%	108	+1.5
✕Brad Davis 2012 · MLB	29	45	45→50	46→45	42	.222/.272/.345	.123	.285	12	4	26%	6%	69	-0.4	.204/.249/.306	.102	.272	9	8	27%	5%	50	-1.8	.167/.207/.251	.085	.222	6	7	27%	5%	15	-1.2
✕Brett Nicholas 2018 · MLB	30	48→50	46→50	43→40	40	.238/.278/.366	.128	.294	14	4	24%	5%	78	+0.2	.229/.277/.362	.133	.287	14	5	25%	5%	76	+0.1	.217/.270/.348	.131	.269	15	1	25%	6%	66	-0.5
✕Francisco Arcia 2019 · MLB	29	44	41→40	45→40	40	.215/.267/.309	.094	.270	9	6	24%	4%	59	-1.1	.206/.249/.294	.088	.256	9	7	23%	4%	46	-2.0	.169/.204/.205	.036	.213	2	0	21%	3%	1	-2.1
✕Chris Herrmann 2016 · MLB	28	44→50	42→50	50	44	.216/.272/.330	.113	.280	9	8	26%	6%	66	-0.6	.221/.296/.369	.148	.285	16	10	27%	9%	86	+0.8	.215/.305/.373	.158	.276	19	8	28%	11%	88	+0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)