Orlando Martinez

Orlando MartinezOF Frisco RoughRiders

Age 28 L/L 5'11" / 185 lbs AA K +3% Svc 0.0 · Ctrl thru 2034 peak 0.3 · 2026

wRC+†93

AVG/OBP/SLG.231 / .291 / .348

PA250

HR4

SB9

K%22

BB%7

MLB%2%

Scouting · now → future

HIT

55→55

PWR

35→35

SPD

45→45

EYE

51↘45

trajectory · 10 yrs

0.3peak

2027

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	—	—	—
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.2M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$-3M		$-6M	-$3M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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	20	A	2 teams	291	273	64	11	1	4	14	87	1	9	7	.234	.274	.326	.600	.092	.324	30	5	.261	58	-14	-1	+0	-2	+8	-0.9
2019	21	A+	Inland Empire 66ers	422	392	81	16	2	11	24	106	1	5	4	.207	.254	.342	.596	.135	.250	25	6	.263	59	-19	-1	+0	-3	+12	-1.1
2021	23	AA	2 teams	517	489	100	24	1	13	23	180	3	5	4	.204	.245	.337	.582	.133	.292	35	4	.254	53	-28	-1	+0	-3	+15	-1.7
2022	24	AAA	2 teams	430	398	86	16	2	7	24	119	1	9	7	.216	.262	.319	.582	.103	.283	28	6	.257	55	-22	-1	+0	-3	+12	-1.4
2023	25	AA	3 teams	561	517	116	28	4	13	29	136	5	9	5	.224	.272	.369	.642	.145	.275	24	5	.276	69	-20	-0	+0	-3	+16	-0.7
2024	26	AA	3 teams	436	385	87	15	2	6	40	87	2	9	0	.226	.302	.322	.624	.096	.269	20	9	.276	69	-15	+2	+0	-3	+12	-0.4
2025	27	INTL	2 teams	570	514	125	24	4	5	46	119	3	9	3	.243	.309	.335	.644	.091	.303	21	8	.282	74	-17	+1	+0	-3	+16	-0.3
▸ 2026 Season (actual · ROS · total)
2026	28	AA	Frisco RoughRiders	76	69	19	4	0	2	7	18	0	5	3	.275	.342	.420	.762	.145	.347	24	9	.329	110	+1	-0	+0	-0	+2	0.2
ROS	28	MLB	TEX	174	158	38	8	1	3	13	39	1	4	2	.241	.302	.361	.663	.120	.295	22	7	.297	85	-3	+0	+0	-1	+5	0.1
TOT	28	MLB	TEX	250	227	57	12	1	5	20	57	1	9	5	.251	.315	.379	.693	.128	.313	23	8	.306	93	-2	-0	+0	-2	+7	0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	29	MLB 9%	TEX	288	261	63	13	1	6	24	55	1	6	3	.241	.308	.368	.676	.126	.287	19	8	.305	92	-3	+0	-1	-2	+8	0.2
2028	30	MLB 19%	TEX	318	287	69	14	2	6	27	63	1	6	3	.240	.308	.366	.674	.125	.287	20	8	.303	90	-3	+0	-2	-2	+9	0.2
2029	31	MLB 29%	TEX	316	284	68	14	1	6	27	64	2	4	2	.239	.310	.359	.669	.120	.286	20	9	.301	88	-4	+0	-3	-2	+9	0.0
2030	32	MLB 40%	TEX	305	275	65	13	1	6	26	64	1	3	2	.236	.305	.356	.661	.120	.285	21	9	.297	85	-5	-0	-4	-2	+9	-0.2
2031	33	MLB 54%	TEX	280	254	59	12	1	5	23	61	1	1	1	.232	.299	.346	.645	.114	.284	22	8	.292	81	-6	-0	-4	-2	+8	-0.4
2032	34	MLB 71%	TEX	241	218	50	10	1	4	20	54	1	0	1	.229	.297	.339	.637	.110	.282	22	8	.286	77	-6	-0	-5	-1	+7	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			5149	4705	1071	218	24	95	360	1234	24	79	44	.228	.286	.345	.631	.117	.285	24	7	.279	72	-165	-2	-19	-31	+146	-7.2
/ 162G	—			650	594	136	28	3	12	45	156	3	10	6	.229	.286	.347	.633	.118	.287	24	7	.279	72	-21	-0	-2	-4	+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	20	A	Burlington Bees	238	218	63	12	1	3	17	56	1	6	5	.289	.343	.394	.738	.106	.373	24	7	.329	110	+3	-1	—	—	+7	0.9
2018	20	ROK	Orem Owlz	53	48	18	5	0	2	4	9	0	3	2	.375	.423	.604	1.027	.229	.421	17	8	.440	195	+6	-0	—	—	+2	0.7
2019	21	A+	Inland Empire 66ers	422	380	100	21	4	12	36	79	1	5	4	.263	.329	.434	.763	.171	.299	19	9	.335	114	+7	-1	—	—	+12	1.9
2021	23	AA	Rocket City Trash Pandas	436	400	103	23	2	16	30	119	3	5	3	.258	.313	.445	.758	.188	.326	27	7	.333	113	+7	-0	—	—	+12	1.9
2021	23	INTL	Glendale Desert Dogs	81	79	17	2	2	1	2	14	0	0	1	.215	.235	.329	.564	.114	.250	17	2	.249	48	-5	-0	—	—	+2	-0.3
2022	24	AAA	Salt Lake Bees	267	244	61	12	4	5	19	59	1	3	3	.250	.307	.393	.700	.143	.306	22	7	.309	95	-2	-1	—	—	+8	0.5
2022	24	AA	Rocket City Trash Pandas	163	141	43	7	1	4	18	33	0	6	4	.305	.384	.454	.838	.149	.361	20	11	.365	138	+7	-0	—	—	+5	1.1
2023	25	AAA	Salt Lake Bees	164	147	36	10	0	3	14	30	0	2	1	.245	.311	.374	.685	.129	.284	18	9	.303	90	-2	+0	—	—	+5	0.3
2023	25	AA	Rocket City Trash Pandas	325	292	78	17	4	9	24	64	3	6	3	.267	.328	.445	.773	.178	.309	20	7	.337	116	+6	+0	—	—	+9	1.5
2023	25	INTL	Cangrejeros de Santurce	72	56	11	2	0	0	12	14	2	1	1	.196	.357	.232	.589	.036	.256	19	17	.285	77	-2	-0	—	—	+2	-0.0
2024	26	AA	Rocket City Trash Pandas	324	274	72	15	1	5	41	51	1	4	0	.263	.360	.380	.739	.117	.298	16	13	.330	110	+4	+1	—	—	+9	1.4
2024	26	ROK	ACL Angels	39	30	10	0	1	0	8	3	0	2	0	.333	.462	.400	.862	.067	.370	8	21	.393	159	+3	+0	—	—	+1	0.4
2024	26	INTL	Criollos de Caguas	73	61	18	5	0	1	9	13	1	3	0	.295	.394	.426	.821	.131	.347	18	12	.361	135	+3	+1	—	—	+2	0.6
2025	27	AA	Corpus Christi Hooks	269	237	64	12	2	3	28	46	1	4	2	.270	.348	.376	.724	.105	.323	17	10	.326	108	+2	+0	—	—	+8	1.0
2025	27	INTL	Tomateros de Culiacan	301	259	83	17	1	9	35	34	2	5	1	.320	.405	.498	.903	.178	.335	11	12	.394	160	+20	+1	—	—	+9	3.0

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
Orlando Martinez (OGILVIE)	28	55	35	45	45	.231/.291/.348	.117	.285	4	3	22%	7%	79	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jesus Valenzuela 2017 · AAA	28	49	42→40	47→40	46	.237/.287/.338	.100	.286	10	8	21%	6%	73	-0.1	.224/.267/.339	.115	.281	12	9	24%	5%	66	-0.6	.190/.219/.296	.105	.243	11	0	27%	3%	30	-0.5
✕Carlos Alvarez 2016 · AAA	28	47	42→45	46→45	52	.228/.305/.342	.113	.273	9	8	19%	9%	83	+0.6	.238/.305/.324	.086	.294	6	9	20%	7%	78	+0.2	.241/.307/.302	.061	.302	2	7	19%	7%	69	-0.2
✕Ricardo Gastelum 2012 · AAA	28	49	40	47→40	44	.234/.279/.324	.090	.283	7	7	20%	5%	66	-0.6	.219/.273/.337	.118	.279	12	8	25%	6%	68	-0.5	.201/.259/.330	.129	.255	13	6	26%	6%	57	-0.3
✕Gilberto Sotomayor 2006 · AAA	28	48	41→30	48→45	45	.235/.285/.336	.101	.282	9	12	20%	6%	72	-0.2	.258/.291/.331	.073	.301	5	9	16%	4%	72	-0.2	.279/.305/.329	.050	.323	3	6	14%	3%	75	-0.0
✕Ryan Lollis 2015 · AAA	28	51→61	41→45	46→45	47	.244/.290/.342	.098	.279	8	7	16%	6%	76	+0.0	.248/.295/.330	.082	.291	6	8	16%	6%	75	-0.0	.252/.299/.321	.069	.298	3	7	16%	6%	71	-0.2
✕BJ Boyd 2021 · AAA	28	49→55	39→45	48→50	43	.236/.279/.321	.086	.291	7	10	21%	5%	66	-0.6	.258/.310/.408	.150	.313	17	12	22%	6%	102	+1.9	.271/.326/.421	.150	.325	17	12	21%	6%	109	+1.3
✕Taylor Kohlwey 2023 · AAA	29	50→53	41→45	48→50	48	.238/.305/.340	.102	.305	8	10	24%	8%	82	+0.5	.229/.307/.342	.113	.291	10	12	23%	9%	84	+0.6	.230/.322/.348	.118	.286	11	15	22%	10%	90	+0.9
✕Juan Carlos Gamboa 2019 · AAA	28	50	43→45	45→50	43	.243/.293/.354	.111	.305	11	9	24%	6%	81	+0.4	.251/.315/.371	.120	.324	13	9	25%	8%	95	+1.4	.261/.330/.370	.109	.339	12	5	25%	8%	101	+1.2
✕Chase Calabuig 2023 · AA	27	48→56	42→40	46→45	50	.233/.297/.340	.107	.277	10	5	20%	8%	79	+0.3	.252/.308/.383	.131	.293	12	6	17%	7%	95	+1.4	.293/.339/.461	.168	.322	13	3	13%	7%	123	+1.0
✕Bijan Rademacher 2018 · AAA	27	51→48	44→45	45	50	.246/.311/.364	.118	.303	11	5	22%	8%	91	+1.1	.224/.276/.308	.084	.287	7	6	23%	6%	61	-1.0	.203/.251/.245	.043	.262	3	3	22%	6%	33	-1.9
✕Carlos Lopez 2017 · AAA	28	56→64	40	43→40	47	.267/.309/.367	.099	.312	7	5	17%	6%	90	+1.0	.271/.319/.350	.079	.325	4	4	17%	7%	89	+1.0	.278/.332/.335	.057	.333	1	1	16%	7%	91	+0.8
✕Mason Williams 2020 · MLB	28	51→54	44→45	44→55	44	.250/.290/.363	.113	.297	12	10	20%	5%	82	+0.5	.238/.283/.366	.128	.301	14	10	25%	6%	79	+0.3	.227/.278/.336	.109	.300	11	13	27%	6%	66	-0.3
✕Efren Navarro 2014 · AAA	28	54→60	41→45	43→45	46	.259/.306/.360	.101	.313	7	6	19%	6%	87	+0.8	.258/.310/.352	.094	.324	6	4	21%	7%	86	+0.8	.255/.308/.340	.084	.320	5	1	20%	7%	79	+0.2
✕Mike Paulk 2011 · AAA	27	50→57	42→45	44→45	48	.240/.296/.344	.104	.290	9	7	20%	7%	79	+0.3	.236/.287/.345	.109	.291	9	6	21%	7%	76	+0.0	.258/.307/.361	.103	.315	8	2	20%	7%	85	+0.4
✕Adron Chambers 2015 · MLB	28	51→60	41→45	48→55	46	.246/.305/.344	.098	.316	9	14	24%	7%	83	+0.6	.236/.292/.334	.098	.302	7	13	23%	7%	75	-0.0	.238/.292/.334	.096	.322	2	14	25%	6%	71	-0.1
✕Kevin Howard 2009 · AAA	28	49→56	44→45	42→45	48	.241/.290/.361	.119	.275	12	6	17%	6%	81	+0.4	.243/.290/.359	.116	.276	12	6	16%	6%	81	+0.4	.244/.287/.347	.103	.278	11	5	16%	5%	73	-0.1
✕Val Majewski 2009 · AAA	28	50→54	43→45	46→50	45	.242/.294/.361	.119	.299	10	10	22%	6%	83	+0.6	.232/.289/.367	.135	.284	15	10	23%	7%	83	+0.6	.227/.288/.359	.132	.279	16	10	24%	7%	77	+0.1
✕Brian Dinkelman 2012 · MLB	28	49→56	39→45	46→50	45	.236/.287/.324	.089	.289	6	8	20%	6%	70	-0.3	.217/.274/.318	.101	.263	8	10	20%	6%	63	-0.8	.201/.267/.315	.113	.235	10	10	18%	7%	58	-0.6
✕Vimael Machín 2022 · MLB	28	46→55	43→45	49→45	49	.226/.291/.341	.115	.272	10	6	20%	8%	76	+0.1	.234/.300/.334	.100	.282	8	4	19%	8%	79	+0.3	.243/.302/.358	.114	.288	11	7	19%	7%	83	+0.4
✕Cory Keylor 2007 · AA	27	50→56	43→45	43→45	43	.245/.294/.352	.106	.312	11	6	25%	6%	81	+0.4	.226/.278/.343	.117	.310	11	8	29%	6%	72	-0.2	.204/.259/.327	.122	.290	10	7	32%	6%	59	-0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)