Walker Martin — OGILVIE

Walker Martin3B Eugene Emeralds

Age 22 L/R 6'3" / 215 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION449 act + 9 ros · stats below = ROS only

showingROS

wRC+†41

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%44

BB%11

BABIP274

ISO97

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 30 / POW 40

Toolsscout grade

CONTACT30

scouting grade only

POWER40

scouting grade only

EYE55

scouting grade only

SPEED45

scouting grade only

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	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-3M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
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	105	+1	+0	—	—	+3	0.4
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	137	+8	+0	—	—	+4	1.3
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	114	+8	+1	—	—	+10	2.0
2025	21	INTL	Scottsdale Scorpions	—	61	54	12	2	1	0	6	26	1	0	0	222	311	296	608	74	429	43	10	283	78	-2	+0	—	—	+1	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	20	A MLE	San Jose Giants	—	123	105	10	1	1	1	15	80	3	2	0	95	228	152	380	57	406	65	12	199	21	-12	+0	—	—	+3	-0.9
2024	20	ROK MLE	ACL Giants	—	189	161	22	3	0	3	23	103	5	4	1	137	265	211	476	75	328	54	12	225	38	-14	+0	—	—	+4	-1.0
2025	21	A MLE	San Jose Giants	—	482	429	70	12	2	7	46	191	6	13	4	163	254	249	503	86	273	40	10	233	44	-32	+1	—	—	+10	-2.1
2024	20	ROK MLE	2 teams	—	312	266	32	4	1	4	38	182	8	6	1	120	250	188	438	68	350	58	12	215	31	—	—	—	—	—	—
2024	20	ROK RAW	2 teams	—	312	243	53	7	2	8	61	128	8	6	1	218	391	362	753	144	421	41	20	352	31	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	543	483	80	14	3	8	52	215	7	13	4	166	256	257	513	91	276	40	10	233	44	—	—	—	—	—	—
2025	21	A RAW	2 teams	—	543	460	107	21	4	12	75	163	7	13	4	233	349	374	723	141	332	30	14	330	44	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	312	263	32	4	1	4	38	182	8	6	1	122	250	190	440	68	359	58	12	215	31	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	543	479	80	14	3	8	52	215	7	13	4	167	256	259	515	92	273	40	10	233	44	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	20	ROK MLE	2 teams	—	312	263	32	4	1	4	38	182	8	6	1	122	250	190	440	68	359	58	12	215	31	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	543	479	80	14	3	8	52	215	7	13	4	167	256	259	515	92	273	40	10	233	44	—	—	—	—	—	—
YTD	22	A+ MLE	SF	—	449	411	66	9	0	12	30	213	5	20	3	161	226	270	497	109	287	47	7	223	37	-34	+3	+0	+2	+10	-2.0
▸ 2026 season
YTD	22	A+ RAW	SF	—	449	393	91	14	0	18	48	152	5	20	3	232	323	405	727	173	324	34	11	325	37	—	—	—	—	—	—
ROS	22	A+ MLE	SF	0%	9	8	1	0	0	0	1	4	0	0	0	125	222	125	347		279	44	11	229	41	-1	+0	+0	+0	+0	-0.0
TOT	22	A+ MLE	SF	—	458	419	67	9	0	12	31	217	5	20	3	160	226	267	494	107	286	47	7	223	37	-34	+3	+0	+2	+10	-2.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	SF	35%	521	469	81	13	1	13	42	221	5	12	2	173	248	288	536	115	283	42	8	245	52	-30	+2	+0	+2	+11	-1.5
2028	24	MLB MLE	SF	46%	562	505	91	15	1	15	46	228	6	12	2	180	257	303	560	123	285	41	8	255	59	-28	+2	+0	+2	+12	-1.2
2029	25	MLB MLE	SF	52%	597	537	99	16	1	17	49	236	6	12	2	184	260	313	573	128	285	40	8	261	63	-27	+2	+0	+2	+13	-1.0
2030	26	MLB MLE	SF	54%	608	546	102	17	1	17	51	237	6	12	2	187	264	315	579	128	285	39	8	263	64	-26	+2	+0	+2	+13	-0.9
2031	27	MLB MLE	SF	54%	611	548	103	17	1	18	52	239	6	12	2	188	266	321	587	133	285	39	9	263	64	-26	+2	+0	+2	+13	-0.9
2027	23	MLB CTX	SF	35%	180	162	26	4	0	4	14	76	2	4	1	160	236	259	495	99	277	42	8	232	52	-10	+0	+0	+1	+4	-0.5
2028	24	MLB CTX	SF	46%	260	234	42	7	1	7	21	105	3	6	1	179	256	308	564	128	279	40	8	241	59	-13	+1	+0	+1	+6	-0.6
2029	25	MLB CTX	SF	52%	309	277	50	8	1	8	26	122	3	6	1	181	258	303	561	123	279	39	8	246	63	-14	+1	+0	+1	+7	-0.5
2030	26	MLB CTX	SF	54%	330	296	55	9	1	9	28	129	3	6	1	186	263	314	577	128	279	39	8	249	64	-14	+1	+0	+1	+7	-0.5
2031	27	MLB CTX	SF	54%	332	298	55	9	1	9	28	130	3	6	1	185	261	312	573	128	279	39	8	249	64	-14	+1	+0	+1	+7	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1411	1267	228	37	4	37	117	562	14	28	5	180	257	303	560	123	283	40	8	245	56	-65	+4	+0	+5	+31	-2.6
/ 162G	—	A+C		—	650	584	105	17	2	17	54	259	6	13	2	180	256	303	559	123	282	40	8	245	56	-30	+2	+0	+2	+14	-1.2
Career	—	MLE		—	3763	3362	589	96	9	92	331	1562	44	79	15	175	258	291	549	116	288	42	9	251	56	-136	+8	+0	+10	+63	-5.6
/ 162G	—	MLE		—	650	581	103	17	2	16	57	270	8	14	3	177	260	296	557	119	292	42	9	251	56	-31	+2	+0	+2	+14	-1.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	2.1	1,411	39	28	184	258	312	+15	+6	-0.6	-0.3
/162	664	19	13	+7.1	+2.8	-0.3	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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	159/234/260	101	279	7	10	45%	8%	41	-1.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron Bracho 2023 · A	22	29→37	42→45	44→40	37	157/224/253	96	253	10	4	40%	7%	35	-3.4	193/255/314	121	256	14	5	30%	7%	61	-1.5	189/251/313	124	237	16	4	27%	7%	57	-1.0
✕Luis Toribio 2023 · A	22	35→39	45	45→40	37	174/243/293	119	298	14	3	44%	8%	51	-2.2	181/250/310	129	295	15	3	41%	8%	58	-1.7	165/237/294	129	254	16	1	40%	8%	47	-1.4
✕Andry Arias 2022 · A	22	38	42→40	44→40	39	190/256/295	105	287	10	7	36%	7%	57	-1.8	195/259/290	95	306	7	6	36%	7%	56	-1.9	160/231/251	91	256	7	3	38%	8%	34	-1.2
✕Jacob Wetzel 2022 · A	22	42→34	42→45	49→50	42	203/278/304	101	310	11	8	36%	8%	67	-1.1	191/267/299	108	279	10	12	33%	8%	62	-1.4	178/259/293	115	256	10	14	32%	9%	55	-1.1
✕Jared Walker 2017 · A	21	37→32	40→55	44→45	37	178/239/268	89	302	8	7	41%	7%	44	-2.8	188/258/344	156	307	19	5	42%	7%	70	-0.9	173/255/337	164	274	21	5	42%	7%	64	-0.8
✕Michael Pérez 2015 · A	22	36	43→50	41→40	40	180/248/296	116	288	11	3	39%	8%	53	-2.1	194/252/288	94	269	8	4	29%	7%	53	-2.1	222/282/338	116	285	12	0	25%	7%	74	-0.3
✕Leandro Emiliani 2022 · A	22	37	42→50	46→30	40	182/256/280	98	291	10	4	39%	8%	53	-2.1	185/245/293	108	291	11	3	38%	6%	51	-2.2	170/232/278	107	265	11	1	38%	6%	41	-1.6
✕Cole Roederer 2021 · A	21	38→32	43→45	51→50	42	190/258/298	108	281	10	12	34%	8%	57	-1.8	205/269/314	109	303	11	12	34%	7%	65	-1.2	180/254/288	108	265	12	11	34%	8%	53	-1.2
✕Estee Harris 2008 · A	23	37→31	40→50	49→50	36	182/234/272	91	293	8	13	39%	6%	42	-2.9	218/265/340	122	373	12	12	42%	5%	70	-0.9	212/254/349	137	373	14	14	45%	4%	63	-0.4
✕Rixon Wingrove 2022 · A	22	35→36	44→50	47→40	36	180/242/296	115	279	12	4	38%	6%	51	-2.2	191/258/330	139	303	17	4	41%	7%	65	-1.2	184/257/333	149	277	19	3	39%	7%	62	-0.8
✕Gage Canning 2019 · A	22	42→36	45→40	50	37	206/259/332	126	312	12	8	37%	6%	65	-1.2	196/246/284	88	319	7	9	38%	5%	49	-2.4	192/242/271	79	310	6	8	38%	5%	41	-1.9
✕D.J. Wilson 2019 · A	22	37	41→50	50	39	183/242/281	98	279	7	13	36%	7%	47	-2.5	183/249/280	97	308	9	14	40%	8%	51	-2.3	104/190/192	88	178	12	21	47%	9%	9	-1.5
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	174/222/255	81	277	7	4	39%	5%	34	-3.5	184/241/265	81	306	8	5	40%	6%	44	-2.8	141/191/216	75	260	9	0	47%	5%	11	-1.0
✕Brian Pointer 2014 · A	22	38→41	42→45	51→50	40	186/261/292	106	285	9	13	36%	7%	58	-1.7	207/280/332	125	310	12	12	35%	8%	74	-0.5	204/280/338	134	302	14	12	35%	8%	72	-0.5
✕Stephen Paolini 2023 · A	22	36→37	38→40	48→50	37	167/238/244	77	308	6	12	44%	8%	38	-3.2	177/247/261	84	328	7	17	44%	8%	45	-2.7	160/232/238	78	299	8	23	46%	8%	33	-1.6
✕Hudson Head 2023 · A	22	39	42→45	45	37	180/263/282	101	325	10	9	44%	8%	57	-1.8	177/242/284	107	295	10	9	41%	7%	49	-2.4	160/224/277	117	253	12	8	40%	6%	38	-1.6
✕Michel Triana 2023 · A	23	35→26	45	49→50	35	177/243/296	119	290	12	9	41%	6%	52	-2.2	179/241/280	101	293	9	9	39%	7%	47	-2.5	106/170/166	60	183	3	6	41%	7%	-7	-1.8
✕Randy Florentino 2022 · A	22	34	40→50	43→45	40	169/236/252	83	270	8	6	38%	8%	38	-3.2	193/247/280	87	268	9	6	30%	6%	49	-2.4	188/237/266	78	247	8	4	27%	6%	40	-0.9
✕Andy Yerzy 2021 · A	23	35	38→50	49→40	35	174/226/251	77	275	5	7	37%	5%	34	-3.5	188/272/333	145	263	18	6	34%	9%	72	-0.7	166/252/300	134	233	18	4	36%	9%	55	-1.0
✕Yeicok Calderon 2014 · A	22	35	45	45	34	181/231/300	120	294	14	5	42%	6%	48	-2.5	209/255/323	114	332	11	7	38%	5%	61	-1.5	211/248/329	118	331	11	5	38%	4%	59	-0.6

Career Stats + Projections

Career Comps

Career Path Comps