Walker Martin — OGILVIE

Walker MartinSS Eugene Emeralds

Age 22 L/R 6'3" / 215 lbs A+ BB -3% Svc 0.0 · Ctrl thru 2035 peak 0.6 · 2030

wRC+†48

AVG/OBP/SLG.156 / .251 / .252

PA320

HR6

SB13

K%45

BB%10

MLB%0%

Scouting · now → future

HIT

30→30

PWR

40→40

SPD

45→45

EYE

58↘55

trajectory · 10 yrs

0.5peak

2030

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	+0.6	$3M	+$2M
2031	Arb-3	$0.9M	+0.6	$3M	+$2M
2032	Ext / FA-deal	$0.9M	+0.4	$2M	+$1.0M
2033	Ext / FA-deal	$0.6M	+0.2	$1.0M	+$0.4M
2034	Ext / FA-deal	$5M	—	—	—
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$9M		$7M	-$2M

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
2024	20	ROK	2 teams	312	266	32	4	1	4	38	185	8	6	1	.120	.250	.188	.438	.068	.364	59	12	.210	19	-28	+1	+0	+3	+9	-1.6
2025	21	A	2 teams	543	483	79	13	3	8	52	217	7	13	4	.164	.255	.253	.507	.089	.274	40	10	.230	34	-40	+1	+0	+6	+15	-1.9
▸ 2026 Season (actual · ROS · total)
2026	22	A+	Eugene Emeralds	58	53	10	2	0	2	4	20	1	6	0	.189	.259	.340	.598	.151	.258	34	7	.283	75	-2	+1	+0	+1	+2	0.2
ROS	22	MLB	SF	262	231	37	6	1	5	25	115	4	7	1	.160	.254	.260	.514	.100	.283	44	10	.240	42	-17	+1	+0	+3	+7	-0.6
TOT	22	MLB	SF	320	284	47	8	1	7	29	135	5	13	1	.165	.255	.275	.529	.109	.280	42	9	.248	48	-19	+2	+0	+3	+9	-0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	SF	539	472	84	14	2	12	55	216	7	13	2	.178	.273	.292	.566	.114	.289	40	10	.260	57	-26	+2	+0	+6	+15	-0.3
2028	24	MLB 26%	SF	575	502	93	16	2	14	60	222	8	13	1	.185	.282	.309	.591	.124	.290	39	10	.269	64	-23	+2	+0	+6	+16	0.1
2029	25	MLB 44%	SF	597	521	98	17	2	15	63	224	8	12	1	.188	.285	.315	.600	.127	.291	38	11	.275	68	-21	+2	+0	+6	+17	0.4
2030	26	MLB 59%	SF	608	530	101	18	2	15	65	226	8	12	1	.191	.289	.317	.606	.126	.292	37	11	.278	71	-20	+2	+0	+7	+17	0.6
2031	27	MLB 76%	SF	611	532	101	18	2	15	66	228	8	11	1	.190	.289	.316	.605	.126	.292	37	11	.278	71	-20	+2	+0	+7	+17	0.6
2032	28	MLB 84%	SF	607	528	99	17	2	15	66	227	8	10	1	.188	.287	.312	.600	.125	.291	37	11	.277	70	-21	+2	-1	+7	+17	0.4
2033	29	MLB 90%	SF	599	521	98	17	2	15	65	226	8	9	0	.188	.288	.315	.603	.127	.290	38	11	.274	68	-22	+2	-1	+6	+17	0.2
2034	30	MLB	SF	589	512	94	16	2	14	64	224	8	8	0	.184	.284	.305	.589	.121	.289	38	11	.271	66	-23	+2	-2	+6	+17	-0.0
2035	31	MLB	SF	575	500	91	16	2	13	63	221	7	6	0	.182	.282	.300	.582	.118	.287	38	11	.268	63	-24	+1	-3	+6	+16	-0.3
2036	32	MLB	SF	557	485	87	15	2	12	60	217	7	5	0	.179	.279	.293	.572	.113	.285	39	11	.263	59	-26	+1	-4	+6	+16	-0.6
2037	33	MLB	SF	527	459	80	13	2	11	57	209	6	5	0	.174	.274	.283	.557	.109	.283	40	11	.258	55	-27	+1	-4	+6	+15	-0.9
2038	34	MLB	SF	479	419	70	12	1	9	51	194	6	4	0	.167	.267	.265	.532	.098	.281	41	11	.251	51	-27	+1	-5	+5	+14	-1.2
▸ Career Totals (MLE all levels + projections)
Career	—			7980	6961	1244	212	28	177	850	3151	108	134	13	.179	.278	.293	.572	.115	.291	39	11	.263	59	-365	+22	-20	+86	+226	-5.3
/ 162G	—			650	567	100	17	2	14	69	257	9	11	1	.176	.276	.287	.563	.111	.288	40	11	.263	59	-30	+2	-2	+7	+18	-0.4

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
2024	20	A	San Jose Giants	123	99	20	3	2	2	21	57	3	2	0	.202	.358	.333	.691	.131	.450	46	17	.324	106	+1	+0	—	—	+3	0.5
2024	20	ROK	ACL Giants	189	144	33	4	0	6	40	71	5	4	1	.229	.413	.382	.795	.153	.403	38	21	.370	142	+9	+0	—	—	+5	1.5
2025	21	A	San Jose Giants	482	406	95	19	3	12	69	137	6	13	4	.234	.353	.384	.738	.150	.322	28	14	.336	115	+8	+1	—	—	+14	2.3
2025	21	INTL	Scottsdale Scorpions	61	54	12	2	1	0	6	26	1	0	0	.222	.311	.296	.608	.074	.429	43	10	.283	75	-2	+0	—	—	+2	-0.0

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
Walker Martin (OGILVIE)	22	30	40	45	55	.156/.251/.252	.096	.289	6	5	45%	10%	40	-1.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron Bracho 2023 · A	22	30→38	42→45	44→40	38	.161/.227/.260	.099	.254	10	4	39%	7%	30	-3.1	.194/.258/.324	.130	.261	16	5	31%	7%	59	-1.1	.192/.255/.327	.134	.243	18	4	29%	7%	56	-0.7
✕Michael Pérez 2015 · A	22	37	44→50	41→40	40	.184/.249/.302	.119	.288	11	3	38%	8%	50	-1.8	.193/.252/.290	.097	.268	8	4	29%	7%	47	-1.9	.224/.284/.351	.127	.286	14	0	26%	7%	75	-0.0
✕Luis Toribio 2023 · A	22	36→39	45→50	45→40	38	.178/.247/.297	.119	.301	13	3	43%	8%	47	-1.9	.181/.249/.311	.130	.297	16	3	42%	8%	53	-1.5	.165/.238/.298	.133	.259	17	1	41%	8%	41	-1.3
✕Andry Arias 2022 · A	22	38	42→40	46→40	39	.187/.254/.288	.101	.287	10	7	36%	7%	48	-1.9	.193/.256/.289	.096	.301	8	5	36%	7%	49	-1.8	.160/.230/.252	.091	.253	7	3	37%	7%	25	-1.2
✕Yeicok Calderon 2014 · A	22	35	46→45	45	33	.180/.227/.303	.123	.290	14	5	42%	6%	40	-2.4	.206/.250/.323	.117	.324	12	6	38%	5%	54	-1.4	.210/.245/.331	.121	.324	12	5	38%	4%	52	-0.6
✕Randy Florentino 2022 · A	22	35	40→50	42→45	40	.174/.240/.257	.083	.272	8	5	37%	8%	33	-2.9	.189/.243/.277	.088	.263	9	6	30%	6%	40	-2.4	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Anthony Seigler 2022 · A	23	41→39	41→45	44→55	45	.195/.271/.299	.104	.290	8	6	34%	9%	58	-1.2	.192/.292/.304	.112	.255	10	14	26%	12%	69	-0.4	.200/.299/.321	.122	.247	12	27	23%	12%	74	-0.1
✕Jared Walker 2017 · A	21	37→33	40→55	45	37	.179/.242/.265	.087	.303	8	7	41%	7%	37	-2.7	.189/.259/.344	.155	.304	18	5	42%	7%	66	-0.6	.172/.256/.340	.168	.271	21	5	42%	7%	61	-0.6
✕Hudson Head 2023 · A	22	39→37	42→45	45	37	.180/.260/.283	.103	.317	10	8	43%	8%	50	-1.7	.177/.240/.288	.111	.290	11	9	40%	6%	42	-2.3	.160/.218/.285	.126	.244	13	8	39%	6%	30	-1.6
✕Cole Roederer 2022 · A	22	40→33	41→45	50	44	.196/.269/.293	.097	.285	8	12	32%	8%	56	-1.3	.202/.266/.324	.122	.299	13	11	35%	7%	63	-0.9	.179/.252/.298	.118	.265	14	11	36%	8%	49	-1.0
✕Shawn Griffin 2009 · A	22	41	40→45	50	38	.193/.254/.284	.090	.319	7	11	39%	7%	46	-2.0	.216/.266/.309	.093	.335	6	7	35%	6%	57	-1.2	.240/.280/.338	.098	.354	7	2	33%	5%	68	-0.2
✕Kevin Clark 2008 · A	22	41→38	41→50	47→50	38	.193/.253/.290	.097	.308	8	7	38%	7%	47	-1.9	.206/.263/.336	.130	.320	15	13	38%	7%	64	-0.8	.195/.255/.339	.144	.293	19	16	38%	7%	61	-0.7
✕Leandro Pineda 2023 · A	21	36→38	39→45	47→45	42	.173/.251/.266	.093	.273	5	7	36%	8%	42	-2.3	.196/.261/.313	.117	.273	11	6	31%	7%	58	-1.2	.196/.262/.319	.124	.258	14	6	29%	7%	58	-0.8
✕Brenden Webb 2012 · A	22	38→37	38→45	47→50	42	.179/.255/.256	.077	.296	6	9	39%	9%	40	-2.4	.182/.261/.296	.114	.300	11	10	40%	9%	54	-1.4	.168/.246/.293	.124	.274	13	10	41%	8%	44	-1.5
✕Jacob Wetzel 2022 · A	22	43→34	43→45	49→50	41	.208/.279/.316	.107	.311	12	8	35%	8%	66	-0.6	.193/.270/.302	.109	.277	11	12	32%	8%	59	-1.1	.180/.260/.295	.115	.256	10	14	32%	9%	50	-1.0
✕Braulio Vasquez 2021 · A	22	40	39→40	44→65	37	.193/.250/.274	.080	.298	7	7	36%	6%	42	-2.3	.205/.278/.298	.093	.301	7	29	32%	7%	61	-1.0	.200/.277/.293	.093	.287	7	42	30%	7%	55	-0.6
✕Joe DeCarlo 2016 · A	22	38	43→50	43→30	44	.184/.274/.291	.106	.280	10	3	35%	9%	59	-1.1	.196/.279/.333	.137	.278	16	2	33%	8%	71	-0.3	.192/.273/.343	.151	.263	18	1	33%	8%	68	-0.3
✕Steven Lerud 2007 · A	22	37→42	45	43→40	34	.185/.244/.305	.120	.297	12	4	40%	5%	49	-1.8	.198/.260/.304	.106	.282	10	4	32%	6%	55	-1.4	.202/.293/.284	.082	.291	7	2	30%	9%	62	-0.3
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	.177/.225/.258	.082	.279	7	4	38%	5%	27	-3.3	.181/.235/.260	.079	.301	7	5	40%	6%	32	-3.0	.113/.162/.125	.012	.213	0	0	44%	5%	-37	-1.5
✕Shane Matheny 2019 · A	23	37→42	39→45	41→50	35	.184/.237/.261	.077	.294	8	5	39%	6%	33	-2.9	.183/.239/.277	.094	.288	10	4	38%	6%	38	-2.6	.191/.281/.316	.125	.300	14	9	38%	10%	64	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)