Maxton Martin — OGILVIE

Maxton MartinRF Hub City Spartanburgers

Age 21 L/R 6'0" / 205 lbs A+ HR +15%BB +5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION508 act + 9 ros · stats below = ROS only

showingROS

wRC+†60

AVG/OBP/SLG.111 / .111 / .111

PA9

HR0

K%33

BB%6

BABIP258

ISO142

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 40 / POW 55

Toolsscout grade

CONTACT40

scouting grade only

POWER55

scouting grade only

EYE46

scouting grade only

SPEED45

scouting grade only

DEFENSE40

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	Pre-Arb	$0.9M	—	—	—
2033	Arb-1	$0.2M	—	—	—
2034	Arb-2	$0.4M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-4M	+$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)
2023	18	ROK	ACL Rangers	—	45	37	9	2	0	1	8	11	0	0	0	243	378	378	756	135	320	24	18	348	122	+1	+0	—	—	+1	0.2
2024	19	ROK	ACL Rangers	—	153	135	31	7	2	2	15	41	2	6	0	230	316	356	671	126	312	27	10	303	91	-2	+1	—	—	+3	0.3
2025	20	A+	Hub City Spartanburgers	—	52	43	11	2	1	2	7	14	2	2	0	256	385	488	873	233	333	27	13	387	148	+3	+0	—	—	+1	0.5
2025	20	A	Hickory Crawdads	—	458	402	104	25	6	12	45	101	8	13	0	259	345	440	785	182	315	22	10	348	121	+12	+3	—	—	+10	2.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	ACL Rangers	—	45	40	6	1	0	1	5	17	0	0	0	150	244	250	494	100	249	38	11	225	38	-3	+0	—	—	+1	-0.2
2024	19	ROK MLE	ACL Rangers	—	153	140	21	4	1	1	10	60	2	6	0	150	217	214	431	64	245	39	7	200	22	-14	+1	—	—	+3	-1.0
2025	20	A+ MLE	Hub City Spartanburgers	—	52	46	9	2	1	1	4	18	2	2	0	196	288	348	636	152	290	35	8	282	77	-1	+0	—	—	+1	0.0
2025	20	A MLE	Hickory Crawdads	—	458	420	83	17	4	10	27	146	8	13	0	198	259	329	588	131	270	32	6	256	59	-22	+3	—	—	+10	-1.0
2023	18	ROK MLE	ACL Rangers	—	45	40	6	1	0	1	5	17	0	0	0	150	244	250	494	100	227	38	11	225	38	—	—	—	—	—	—
2023	18	ROK RAW	ACL Rangers	—	45	37	9	2	0	1	8	11	0	0	0	243	378	378	756	135	320	24	18	348	38	—	—	—	—	—	—
2024	19	ROK MLE	ACL Rangers	—	153	140	21	4	1	1	10	60	2	6	0	150	217	214	431	64	250	39	7	200	22	—	—	—	—	—	—
2024	19	ROK RAW	ACL Rangers	—	153	135	31	7	2	2	15	41	2	6	0	230	316	356	671	126	312	27	10	303	22	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	510	466	92	19	5	11	31	164	10	15	0	197	262	330	593	133	276	32	6	259	61	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	510	445	115	27	7	14	52	115	10	15	0	258	349	445	794	187	317	23	10	352	61	—	—	—	—	—	—
2023	18	ROK MLE	ACL Rangers	—	45	40	6	1	0	1	5	17	0	0	0	150	244	250	494	100	249	38	11	225	38	—	—	—	—	—	—
2024	19	ROK MLE	ACL Rangers	—	153	140	21	4	1	1	10	60	2	6	0	150	217	214	431	64	245	39	7	200	22	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	510	464	92	19	5	11	31	164	10	15	0	198	262	332	594	134	272	32	6	259	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	ACL Rangers	—	45	40	6	1	0	1	5	17	0	0	0	150	244	250	494	100	249	38	11	225	38	—	—	—	—	—	—
2024	19	ROK MLE	ACL Rangers	—	153	140	21	4	1	1	10	60	2	6	0	150	217	214	431	64	245	39	7	200	22	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	510	464	92	19	5	11	31	164	10	15	0	198	262	332	594	134	272	32	6	259	61	—	—	—	—	—	—
YTD	21	A+ MLE	TEX	—	508	473	87	17	4	16	25	172	3	14	5	184	230	338	568	154	243	34	5	245	52	-29	+1	+0	-5	+11	-2.3
▸ 2026 season
YTD	21	A+ RAW	TEX	—	508	460	107	22	5	21	38	128	3	14	5	233	295	439	735	207	270	25	7	319	52	—	—	—	—	—	—
ROS	21	A+ MLE	TEX	0%	9	9	1	0	0	0	0	3	0	0	0	111	111	111	222		256	33	0	258	60	-0	+0	-0	-0	+0	-0.0
TOT	21	A+ MLE	TEX	—	517	482	88	17	4	16	25	175	3	14	5	183	227	334	561	151	242	34	5	245	52	-29	+1	-0	-6	+11	-2.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	TEX	25%	515	476	97	19	4	17	30	157	4	9	2	204	257	368	625	164	261	30	6	275	72	-17	+1	-4	-6	+11	-1.4
2028	23	MLB MLE	TEX	38%	559	515	109	21	5	19	34	164	5	10	3	212	267	383	650	171	265	29	6	285	79	-14	+1	-4	-6	+12	-1.1
2029	24	MLB MLE	TEX	44%	587	540	116	22	5	21	37	169	5	10	3	215	271	391	662	176	267	29	6	292	84	-11	+1	-4	-6	+13	-0.9
2030	25	MLB MLE	TEX	47%	602	553	120	23	5	22	39	171	5	10	3	217	275	396	671	179	268	28	6	295	86	-10	+1	-4	-6	+13	-0.7
2031	26	MLB MLE	TEX	49%	610	560	122	23	5	23	40	173	5	10	3	218	276	400	676	182	267	28	7	296	87	-10	+1	-4	-7	+13	-0.7
2032	27	MLB MLE	TEX	49%	609	558	121	23	5	23	41	173	5	10	3	217	276	400	676	183	267	28	7	296	87	-10	+1	-4	-7	+13	-0.7
2033	28	MLB MLE	TEX	49%	604	553	120	23	5	22	41	173	5	10	3	217	277	396	673	179	267	29	7	295	86	-10	+1	-5	-6	+13	-0.8
2034	29	MLB MLE	TEX	48%	594	543	116	22	4	22	41	171	5	9	2	214	275	390	665	177	266	29	7	293	85	-11	+1	-6	-6	+13	-0.9
2027	22	MLB CTX	TEX	25%	129	120	25	5	1	5	7	39	1	2	1	208	258	392	649	183	264	30	5	275	72	-4	+0	-1	-1	+3	-0.4
2028	23	MLB CTX	TEX	38%	214	197	42	8	2	8	13	63	2	4	1	213	269	396	665	183	267	29	6	285	79	-5	+0	-2	-2	+5	-0.4
2029	24	MLB CTX	TEX	44%	258	238	52	10	2	10	16	74	2	4	1	218	273	403	677	185	269	29	6	292	84	-5	+0	-2	-3	+6	-0.4
2030	25	MLB CTX	TEX	47%	284	262	57	11	2	11	18	81	2	5	1	218	273	401	674	183	270	29	6	295	86	-5	+1	-2	-3	+6	-0.3
2031	26	MLB CTX	TEX	49%	300	274	60	11	2	12	20	85	3	5	1	219	279	405	685	186	270	28	7	296	87	-5	+1	-2	-3	+6	-0.3
2032	27	MLB CTX	TEX	49%	299	274	60	11	2	12	20	85	3	5	1	219	279	405	685	186	270	28	7	296	87	-5	+1	-2	-3	+6	-0.3
2033	28	MLB CTX	TEX	49%	297	272	59	11	2	12	20	85	3	5	1	217	278	404	682	188	269	29	7	295	86	-5	+1	-2	-3	+6	-0.4
2034	29	MLB CTX	TEX	48%	286	262	57	11	2	11	20	82	2	4	1	218	278	401	679	183	268	29	7	294	85	-5	+0	-3	-3	+6	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2067	1899	412	78	15	81	134	594	18	34	8	217	275	402	677	185	268	29	6	293	79	-39	+4	-16	-22	+45	-2.9
/ 162G	—	A+C		—	650	597	130	25	5	25	42	187	6	11	3	218	276	402	678	184	271	29	6	293	79	-12	+1	-5	-7	+14	-0.9
Career	—	MLE		—	5397	4953	1041	200	44	182	349	1595	51	99	22	210	269	379	648	168	268	30	6	285	79	-93	+7	-36	-50	+102	-7.2
/ 162G	—	MLE		—	650	597	125	24	5	22	42	192	6	12	3	209	268	377	645	168	267	30	6	285	79	-13	+1	-5	-7	+14	-1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#3Craig Monroelast yr '09 career totals — 8 seasons, 2,898 PA	4.4	2,898	114	19	253	302	443	-28	-32	3.8	4.3
/162	664	26	4	-6.5	-7.4	0.9	pk7: 5
#4John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.1	2,071	75	34	215	271	393	-12	-16	0.9	1.0
/162	664	24	11	-4.0	-5.1	0.3	pk7: 1
#5Dayan Viciedolast yr '14 career totals — 5 seasons, 1,798 PA	2.7	1,798	66	2	254	298	424	-18	-29	0.3	0.3
/162	664	24	1	-6.6	-10.7	0.1	pk7: 0
#6Hunter Dozierlast yr '23 career totals — 6 seasons, 2,294 PA	3.5	2,294	73	19	238	305	421	-23	-45	0.0	0.0
/162	664	21	5	-6.5	-13.2	0.0	pk7: 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
Maxton Martin (OGILVIE)	21	40	55	45	46	191/240/337	146	256	9	7	32%	5%	60	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Abimelec Ortiz 2023 · A	21	36→40	50→55	43→40	40	192/263/338	146	272	19	7	36%	7%	70	-0.9	212/273/389	177	283	23	4	33%	7%	85	+0.2	209/275/391	181	265	24	2	30%	7%	83	+0.1
✕Matthew Sweeney 2009 · A	21	43→40	48→50	44→45	42	221/269/364	143	270	15	6	24%	5%	76	-0.4	205/265/329	124	283	12	4	30%	7%	68	-1.0	177/245/292	115	250	11	2	33%	7%	49	-1.2
✕Parker Meadows 2021 · A	21	39→47	41→55	46→55	42	195/250/286	91	268	9	9	30%	6%	51	-2.2	201/262/331	130	269	14	13	29%	7%	67	-1.1	222/289/387	165	276	18	21	26%	8%	87	+0.4
✕Jason Martin 2017 · A	21	42→49	47→60	48→50	44	214/273/351	137	280	14	13	28%	7%	75	-0.5	224/270/363	139	299	14	12	28%	6%	76	-0.4	219/286/408	189	272	25	8	29%	8%	91	+0.4
✕Isan Díaz 2017 · A	21	42→41	47→55	45	43	209/274/349	140	296	13	8	33%	8%	75	-0.5	202/272/339	137	292	15	8	34%	8%	72	-0.7	206/286/370	164	268	21	5	30%	9%	80	-0.1
✕Nicky Delmonico 2013 · A	21	41→47	47→50	50→45	46	212/280/346	134	259	15	8	25%	8%	77	-0.3	208/273/343	135	283	14	7	30%	7%	74	-0.6	230/299/381	151	284	16	4	24%	8%	89	+0.4
✕Conner Capel 2018 · A	21	38→45	47→45	49→55	42	199/252/336	136	257	14	11	28%	6%	63	-1.3	211/263/325	114	284	11	11	28%	6%	65	-1.2	213/285/332	119	269	12	19	24%	8%	72	-0.5
✕Alexander Ovalles 2023 · AA	22	43→42	46→50	46→50	45	217/283/344	127	282	13	8	27%	8%	78	-0.3	214/280/320	106	310	10	11	32%	8%	71	-0.8	175/252/223	48	291	3	15	38%	9%	35	-0.7
✕Ronny Mauricio 2022 · AA	21	41→50	48→55	45→55	36	215/250/349	135	284	16	9	31%	4%	65	-1.2	236/272/394	158	296	20	18	27%	4%	85	+0.2	242/281/398	156	301	20	21	26%	4%	87	+0.3
✕Nelson Perez 2009 · A	21	41→42	49→50	48→40	33	209/243/365	156	292	15	5	34%	4%	67	-1.1	206/240/324	118	325	12	3	39%	4%	56	-1.9	215/275/361	146	312	17	4	35%	7%	77	-0.2
✕Angelo Songco 2010 · A	21	36→46	45→55	47→40	36	189/238/315	126	264	13	4	33%	5%	54	-2.0	221/271/374	153	276	17	4	26%	6%	80	-0.2	218/269/378	160	267	18	3	26%	6%	78	-0.2
✕Michael Burgess 2010 · A	21	38→42	49→50	44→45	37	199/258/346	148	290	18	7	37%	6%	69	-0.9	207/271/350	143	279	16	4	30%	7%	74	-0.5	213/261/361	148	264	15	2	25%	6%	72	-0.5
✕William Beckwith 2012 · A	21	43→44	49→50	51→50	44	218/293/369	151	274	16	9	26%	7%	88	+0.4	218/279/360	142	299	16	11	31%	6%	80	-0.1	210/271/353	143	288	18	12	32%	6%	74	-0.3
✕Wilmer Oberto 2014 · A	21	43	44→50	46→45	43	212/279/329	117	267	11	5	24%	6%	73	-0.6	207/259/313	106	300	9	4	32%	6%	61	-1.5	169/212/272	104	257	9	0	37%	5%	32	-1.0
✕Jeremy Moore 2008 · A	21	39→49	46→50	50→55	35	198/244/329	132	288	14	13	36%	5%	59	-1.6	211/249/353	142	320	15	17	37%	4%	66	-1.1	240/276/387	147	339	13	19	32%	4%	82	+0.0
✕Daniel Palka 2014 · A	22	44→43	44→55	44→50	44	219/279/341	122	289	11	5	28%	7%	75	-0.5	207/264/373	166	295	20	9	35%	7%	77	-0.3	207/276/382	174	264	24	4	31%	8%	82	+0.0
✕Aristides Aquino 2015 · A	21	37→41	47→60	50	34	194/233/333	139	262	14	11	32%	4%	56	-1.9	201/240/340	139	269	14	9	30%	4%	60	-1.6	212/278/428	216	266	32	9	33%	7%	91	+0.4
✕Shed Long Jr. 2017 · A	21	47→49	44→50	51→50	42	227/284/347	121	310	11	11	30%	7%	78	-0.3	234/294/372	138	318	14	11	29%	7%	88	+0.4	234/295/378	144	313	15	11	29%	7%	86	+0.3
✕Marco Luciano 2023 · A	21	40→47	49→50	44→45	40	208/266/348	141	289	17	4	34%	7%	72	-0.7	203/282/337	134	303	16	7	35%	10%	76	-0.4	203/289/345	142	291	18	7	34%	10%	78	-0.2

Career Stats + Projections

Career Comps

Career Path Comps