Raudelis Martinez

Raudelis MartinezC Portland Sea Dogs

Age 24 L/R 5'11" / 180 lbs AA Svc 0.0 · Ctrl thru 2034 peak 1.0 · 2029

wRC+†59

AVG/OBP/SLG.221 / .286 / .312

PA275

HR4

K%19

BB%7

MLB%2%

Scouting · now → future

HIT

45→45

PWR

30→30

SPD

40→40

EYE

44↗50

trajectory · 10 yrs

1.0peak

2029

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+1.0	$9M	+$8M
2030	Arb-2	$0.9M	+1.0	$9M	+$8M
2031	Arb-3	$0.9M	+0.9	$4M	+$3M
2032	Ext / FA-deal	$1M	+0.7	$3M	+$2M
2033	Ext / FA-deal	$1M	+0.4	$2M	+$1.0M
2034	Ext / FA-deal	$0.6M	+0.1	$0.5M	-$0.1M
Totals		$5M		$28M	+$22M

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
2021	19	ROK	DSL Rays 1	149	135	16	2	0	2	10	37	2	3	3	.119	.190	.178	.368	.059	.143	25	7	.173	-9	-18	-1	+0	+3	+4	-1.2
2022	20	ROK	DSL Rays	97	82	20	3	2	2	9	16	5	6	2	.244	.354	.402	.757	.159	.277	16	9	.326	108	+1	+0	+0	+2	+3	0.6
2023	21	INTL	3 teams	356	305	48	8	0	3	37	69	5	6	1	.157	.259	.213	.472	.056	.187	19	10	.223	29	-29	+1	+0	+6	+10	-1.2
2024	22	A	2 teams	351	319	52	9	2	3	19	72	4	10	1	.163	.219	.232	.451	.069	.194	21	5	.205	15	-34	+2	+0	+6	+10	-1.6
2025	23	A+	Bowling Green Hot Rods	290	257	52	5	0	4	22	51	2	2	1	.202	.270	.268	.539	.066	.235	18	8	.241	43	-19	+0	+0	+5	+8	-0.6
▸ 2026 Season (actual · ROS · total)
2026	24	AA	Portland Sea Dogs	18	17	2	0	0	0	1	9	0	0	0	.118	.167	.118	.284	.000	.250	50	6	.103	-63	-3	+0	+0	+0	+1	-0.3
ROS	24	MLB	BOS	257	234	52	8	1	4	19	50	2	3	1	.222	.286	.316	.603	.094	.266	19	7	.274	68	-9	+0	+0	+5	+7	0.3
TOT	24	MLB	BOS	275	251	54	8	1	4	20	59	2	3	1	.215	.278	.303	.581	.088	.265	21	7	.263	59	-13	+0	+0	+5	+8	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 11%	BOS	321	290	67	11	1	6	25	63	3	4	1	.231	.299	.338	.637	.107	.269	20	8	.283	75	-9	+0	+0	+6	+9	0.6
2028	26	MLB 26%	BOS	372	336	76	12	1	7	30	73	3	5	1	.226	.295	.330	.626	.104	.271	20	8	.289	79	-9	+1	+0	+7	+11	0.9
2029	27	MLB 44%	BOS	393	354	82	13	2	8	32	78	4	5	1	.232	.303	.347	.650	.116	.272	20	8	.291	81	-9	+1	+0	+7	+11	1.0
2030	28	MLB 53%	BOS	406	365	85	14	2	8	34	82	4	5	1	.233	.305	.348	.653	.115	.272	20	8	.290	80	-9	+1	-1	+7	+12	1.0
2031	29	MLB 64%	BOS	405	364	83	14	1	8	34	83	4	4	0	.228	.301	.338	.639	.110	.272	20	8	.288	79	-10	+1	-1	+7	+11	0.9
2032	30	MLB 81%	BOS	403	362	81	13	1	8	34	84	4	4	0	.224	.297	.331	.629	.108	.270	21	8	.285	76	-11	+1	-2	+7	+11	0.7
2033	31	MLB 88%	BOS	379	341	76	12	1	7	32	81	3	2	0	.223	.295	.326	.621	.103	.269	21	8	.281	73	-11	+0	-3	+7	+11	0.4
2034	32	MLB	BOS	352	317	69	11	1	6	29	77	3	2	0	.218	.289	.315	.605	.098	.267	22	8	.277	70	-12	+0	-4	+6	+10	0.1
2035	33	MLB	BOS	315	283	61	10	1	5	26	71	3	1	0	.216	.288	.311	.599	.095	.266	23	8	.272	66	-12	+0	-4	+6	+9	-0.2
2036	34	MLB	BOS	267	241	51	8	1	4	22	62	2	1	0	.212	.283	.303	.586	.091	.264	23	8	.265	61	-12	+0	-5	+5	+8	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			5113	4585	971	153	17	85	414	1049	53	63	13	.212	.285	.308	.593	.096	.254	21	8	.268	63	-211	+7	-20	+91	+145	1.3
/ 162G	—			650	583	123	19	2	11	53	133	7	8	2	.211	.285	.307	.592	.096	.252	20	8	.268	63	-27	+1	-2	+12	+18	0.2

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
2021	19	ROK	DSL Rays 1	149	127	22	4	0	2	18	25	2	3	3	.173	.286	.252	.538	.079	.196	17	12	.254	52	-8	-1	—	—	+4	-0.4
2022	20	ROK	DSL Rays	97	75	22	4	2	3	16	11	5	6	2	.293	.448	.520	.968	.227	.306	11	16	.425	183	+9	+0	—	—	+3	1.3
2023	21	A	Charleston RiverDogs	129	105	22	2	0	2	17	18	3	3	1	.210	.336	.286	.622	.076	.225	14	13	.287	78	-3	+0	—	—	+4	0.1
2023	21	ROK	FCL Rays	79	61	11	4	0	0	17	10	0	0	0	.180	.359	.246	.605	.066	.212	13	22	.295	84	-1	+0	—	—	+2	0.1
2023	21	INTL	Perth Heat	148	122	37	6	0	0	20	19	2	3	0	.303	.410	.352	.762	.049	.349	13	14	.346	123	+4	+1	—	—	+4	0.9
2024	22	A+	Bowling Green Hot Rods	48	43	3	0	0	0	5	7	0	0	0	.070	.167	.070	.236	.000	.083	15	10	.129	-43	-8	+0	—	—	+1	-0.7
2024	22	A	Charleston RiverDogs	303	263	59	11	3	3	27	43	4	10	1	.224	.306	.323	.629	.099	.249	14	9	.281	73	-9	+2	—	—	+9	0.1
2025	23	A+	Bowling Green Hot Rods	290	243	58	7	0	4	36	40	2	2	1	.239	.342	.317	.659	.078	.269	14	12	.298	86	-5	+0	—	—	+8	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
Raudelis Martinez (OGILVIE)	24	45	30	40	50	.221/.286/.312	.090	.266	4	3	19%	7%	68	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Greg Cullen 2021 · A	24	44→42	41→40	42→40	48	.215/.292/.315	.100	.268	8	3	22%	8%	72	-0.2	.229/.319/.338	.109	.306	11	4	26%	10%	89	+0.9	.232/.336/.332	.100	.317	11	4	27%	12%	91	+0.4
✕Phil Clarke 2022 · A	24	46	42→40	45	46	.222/.295/.327	.105	.277	9	4	22%	7%	76	+0.0	.222/.303/.315	.093	.268	9	6	19%	8%	76	+0.1	.233/.317/.316	.083	.266	8	7	15%	9%	78	+0.1
✕Peter Maris 2018 · A	24	48→51	39→45	45→50	50	.231/.287/.316	.085	.270	7	9	17%	7%	68	-0.5	.224/.284/.353	.129	.278	13	9	23%	7%	77	+0.1	.211/.271/.362	.152	.270	17	7	28%	7%	71	-0.1
✕Taylor Krick 2012 · A	24	45	36→30	41→40	48	.212/.296/.272	.060	.284	5	5	25%	8%	62	-0.9	.231/.315/.299	.068	.320	3	5	26%	8%	77	+0.1	.242/.332/.304	.063	.339	1	3	26%	9%	82	+0.2
✕Pratt Maynard 2014 · A	24	45	40→45	45	50	.216/.282/.308	.093	.266	8	6	22%	8%	65	-0.7	.226/.286/.336	.110	.291	8	6	24%	8%	73	-0.1	.235/.286/.365	.129	.309	6	0	25%	7%	79	+0.1
●Bruce Maxwell 2015 · AA	24	46→50	39→45	40→30	46	.222/.281/.306	.085	.286	7	2	24%	8%	63	-0.8	.230/.288/.325	.095	.294	9	2	23%	8%	71	-0.3	.232/.298/.361	.129	.298	15	0	26%	9%	83	+0.3
✕Michael Turconi 2023 · A	24	49→45	40→45	46→50	50	.236/.313/.328	.092	.294	8	9	22%	8%	83	+0.6	.211/.292/.307	.096	.311	7	8	31%	10%	69	-0.4	.191/.278/.276	.085	.297	5	7	34%	10%	53	-0.8
✕Mitchell Tolman 2018 · A	24	45→47	41→45	44→50	49	.217/.286/.311	.094	.265	9	9	21%	8%	67	-0.5	.211/.284/.299	.088	.298	7	10	29%	8%	63	-0.8	.215/.285/.332	.118	.284	11	8	27%	7%	70	-0.2
✕Irving Lopez 2019 · A	24	48→50	41→45	44→40	47	.233/.299/.334	.101	.276	8	4	18%	6%	79	+0.3	.218/.278/.326	.108	.276	9	4	24%	6%	68	-0.5	.206/.278/.305	.099	.266	9	4	24%	7%	60	-0.5
✕Matt Reistetter 2016 · A	24	50	38→30	47→30	43	.238/.275/.318	.080	.284	5	6	18%	5%	63	-0.9	.212/.263/.302	.090	.271	8	7	24%	6%	55	-1.4	.199/.269/.266	.066	.243	7	8	20%	8%	47	-0.5
✕Matthew Morizio 2008 · A	24	45	39→40	39→50	48	.217/.288/.302	.085	.288	7	4	26%	8%	66	-0.6	.187/.259/.260	.073	.248	4	8	24%	8%	43	-2.2	.137/.219/.186	.049	.182	0	11	22%	8%	5	-1.3
✕Luis Sierra 2011 · A	24	48	42→40	45	42	.233/.271/.334	.101	.282	9	5	21%	5%	66	-0.6	.216/.263/.306	.090	.277	6	3	23%	6%	55	-1.4	.202/.255/.282	.080	.261	4	1	23%	6%	42	-1.0
✕Zach Dillon 2007 · A	24	47	42→45	46→30	50	.226/.291/.328	.102	.279	9	6	22%	8%	73	-0.1	.232/.289/.343	.111	.265	8	3	15%	7%	76	+0.1	.236/.292/.350	.114	.259	7	0	12%	7%	78	+0.1
✕Maxx Tissenbaum 2015 · A	24	51	39→40	45→30	48	.240/.293/.324	.084	.266	6	3	13%	5%	73	-0.1	.234/.288/.315	.081	.275	6	4	16%	5%	69	-0.4	.239/.301/.295	.056	.288	2	1	17%	5%	66	-0.3
✕Casey McElroy 2014 · A	24	47→49	42→40	46→30	46	.231/.285/.334	.103	.279	9	4	20%	6%	72	-0.2	.224/.284/.323	.099	.272	9	3	21%	6%	69	-0.4	.222/.282/.314	.092	.271	8	1	20%	6%	63	-0.6
✕Noe Becerra 2011 · AAA	24	43	40→30	45→40	46	.211/.266/.297	.086	.263	8	9	23%	7%	54	-1.4	.237/.284/.320	.083	.272	6	6	15%	6%	67	-0.5	.278/.325/.338	.060	.315	3	0	12%	6%	89	+0.3
✕Kyle Phillips 2008 · AA	24	46→52	40→45	45→30	46	.224/.273/.312	.088	.269	9	3	20%	6%	61	-1.0	.245/.291/.351	.106	.291	11	2	19%	6%	79	+0.3	.252/.296/.354	.102	.299	11	0	19%	5%	79	+0.1
✕Brandon Trinkwon 2016 · AA	24	48→51	40	47→50	52	.229/.294/.316	.087	.268	7	10	17%	8%	72	-0.2	.223/.286/.302	.079	.271	6	8	19%	8%	64	-0.8	.211/.274/.279	.067	.253	5	5	18%	8%	50	-1.3
✕José Godoy 2019 · AA	24	52	38→45	44→30	47	.248/.304/.328	.081	.297	5	4	18%	6%	79	+0.3	.234/.292/.336	.102	.293	9	4	22%	6%	76	+0.0	.221/.267/.317	.095	.284	12	2	26%	5%	57	-0.5
✕Robby Price 2013 · A	25	49→50	38→30	43→45	56	.227/.323/.307	.080	.259	4	8	14%	9%	83	+0.6	.212/.284/.281	.069	.237	5	5	13%	7%	59	-1.1	.199/.264/.254	.055	.218	6	2	12%	7%	41	-1.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)