Christian Martin

Christian MartinSS Peoria Chiefs

Age 23 L/R 5'10" / 185 lbs A+ HR -14%BB -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION202 act + 27 ros · stats below = ROS only

showingROS

wRC+†46

AVG/OBP/SLG.167 / .259 / .208

PA27

HR0

K%30

BB%11

BABIP243

ISO42

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 45 / POW 25

Toolsscout grade

CONTACT45

scouting grade only

POWER25

scouting grade only

EYE45

scouting grade only

SPEED55

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	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		$-1M	+$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	21	A	Palm Beach Cardinals	—	96	68	14	1	0	0	24	13	3	5	0	206	432	221	652	15	255	14	25	333	112	+1	+1	—	—	+2	0.5
2025	22	A+	Peoria Chiefs	—	30	24	4	0	0	0	4	8	1	1	1	167	310	167	477		235	27	13	238	47	-2	-0	—	—	+1	-0.1
2025	22	A	Palm Beach Cardinals	—	337	288	75	16	1	2	38	56	4	20	6	260	353	344	697	83	311	17	11	316	100	-0	+2	—	—	+7	0.9
2025	22	ROK	FCL Cardinals	—	22	14	3	1	0	0	4	3	4	1	0	214	500	286	786	71	273	14	18	401	158	+2	+0	—	—	+0	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Palm Beach Cardinals	—	96	74	13	1	0	0	18	19	3	5	0	176	358	189	547	14	232	20	19	273	71	-3	+1	—	—	+2	-0.0
2025	22	A+ MLE	Peoria Chiefs	—	30	25	3	0	0	0	3	11	1	1	1	120	241	120	361		211	37	10	189	14	-3	-0	—	—	+1	-0.3
2025	22	A MLE	Palm Beach Cardinals	—	337	298	67	16	1	2	29	80	4	20	6	225	302	305	607	81	283	24	9	269	68	-13	+2	—	—	+7	-0.4
2025	22	ROK MLE	FCL Cardinals	—	22	16	3	1	0	0	2	4	4	1	0	188	409	250	659	62	208	18	9	287	80	-1	+0	—	—	+0	0.0
2024	21	A MLE	Palm Beach Cardinals	—	96	74	13	1	0	0	18	19	3	5	0	176	358	189	547	14	236	20	19	273	71	—	—	—	—	—	—
2024	21	A RAW	Palm Beach Cardinals	—	96	68	14	1	0	0	24	13	3	5	0	206	432	221	652	15	255	14	25	333	71	—	—	—	—	—	—
2025	22	A MLE	3 teams	—	389	339	73	17	1	2	34	95	9	22	7	215	304	289	593	74	286	24	9	264	65	—	—	—	—	—	—
2025	22	A RAW	3 teams	—	389	326	82	17	1	2	46	67	9	22	7	252	359	328	687	77	304	17	12	315	65	—	—	—	—	—	—
2024	21	A MLE	Palm Beach Cardinals	—	96	75	13	1	0	0	18	19	3	5	0	173	358	187	545	13	232	20	19	273	71	—	—	—	—	—	—
2025	22	A MLE	3 teams	—	389	343	73	17	1	2	34	95	9	22	7	213	304	286	589	73	273	24	9	264	65	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	Palm Beach Cardinals	—	96	75	13	1	0	0	18	19	3	5	0	173	358	187	545	13	232	20	19	273	71	—	—	—	—	—	—
2025	22	A MLE	3 teams	—	389	343	73	17	1	2	34	95	9	22	7	213	304	286	589	73	273	24	9	264	65	—	—	—	—	—	—
YTD	23	A+ MLE	STL	—	202	173	29	7	1	0	24	59	3	10	6	168	280	220	500	52	252	29	12	236	46	-13	-0	+0	+2	+4	-0.7
▸ 2026 season
YTD	23	A RAW	STL	—	84	64	12	4	1	0	19	8	0	4	3	188	373	281	655	94	211	10	23	314	46	—	—	—	—	—	—
YTD	23	A+ RAW	STL	—	118	100	23	5	0	0	14	35	3	6	3	230	342	280	622	50	354	30	12	294	46	—	—	—	—	—	—
ROS	23	A+ MLE	STL	0%	27	24	4	1	0	0	3	8	0	1	0	167	259	208	468	42	244	30	11	237	46	-2	+0	+0	+0	+1	-0.1
TOT	23	A+ MLE	STL	—	229	197	33	8	1	0	27	67	3	11	6	168	278	218	496	51	252	29	12	236	46	-15	-0	+0	+2	+5	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	STL	30%	416	364	66	14	2	4	43	115	6	11	4	181	278	264	542	82	250	28	10	253	57	-21	+1	+0	+4	+9	-0.7
2028	25	MLB MLE	STL	44%	456	400	76	16	2	6	47	124	6	12	5	190	285	285	570	95	253	27	10	263	64	-20	+0	+0	+5	+10	-0.5
2029	26	MLB MLE	STL	51%	480	422	82	17	2	8	49	129	6	12	5	194	287	301	588	107	256	27	10	269	68	-18	+0	+0	+5	+10	-0.2
2030	27	MLB MLE	STL	52%	489	429	83	17	2	8	50	131	7	12	5	193	288	298	586	105	256	27	10	270	69	-18	+0	+0	+5	+11	-0.2
2031	28	MLB MLE	STL	53%	491	430	83	17	2	8	51	132	7	12	5	193	289	298	587	105	256	27	10	269	68	-18	+0	-1	+5	+11	-0.3
2032	29	MLB MLE	STL	53%	485	426	81	17	2	7	50	132	6	11	4	190	284	289	573	99	255	27	10	268	67	-19	+1	-1	+5	+11	-0.4
2027	24	MLB CTX	STL	30%	126	110	19	4	0	1	13	35	2	3	1	173	272	236	508	64	249	28	10	241	57	-6	+0	+0	+1	+3	-0.2
2028	25	MLB CTX	STL	44%	202	176	34	7	1	3	21	55	3	5	2	193	290	295	585	102	253	27	10	251	64	-9	+0	+0	+2	+4	-0.2
2029	26	MLB CTX	STL	51%	244	214	42	9	1	4	25	66	3	6	3	196	289	304	593	107	255	27	10	256	68	-9	+0	+0	+3	+5	-0.1
2030	27	MLB CTX	STL	52%	256	225	43	9	1	4	26	69	3	6	3	191	283	293	577	102	256	27	10	258	69	-9	+0	+0	+3	+6	-0.1
2031	28	MLB CTX	STL	53%	262	230	44	9	1	4	27	71	3	6	3	191	285	291	576	100	255	27	10	257	68	-10	+0	-0	+3	+6	-0.2
2032	29	MLB CTX	STL	53%	255	223	43	9	1	4	27	69	3	6	2	193	289	296	585	103	255	27	11	255	67	-10	+0	-1	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1345	1178	225	47	5	20	139	365	17	32	14	191	286	290	576	99	257	27	10	254	66	-54	+1	-1	+14	+29	-1.1
/ 162G	—	A+C		—	650	569	109	23	2	10	67	176	8	15	7	192	285	292	577	100	256	27	10	254	66	-26	+0	-1	+7	+14	-0.5
Career	—	MLE		—	3329	2908	561	117	13	43	345	885	50	98	35	193	289	286	576	94	259	27	10	265	66	-116	+3	-2	+30	+62	-2.4
/ 162G	—	MLE		—	650	568	110	23	3	8	67	173	10	19	7	194	290	287	577	93	261	27	10	265	66	-27	+1	-0	+7	+14	-0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy 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
#2Adam 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
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#4Ryan 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
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.0	1,346	20	33	192	284	292	+14	+9	-0.1	0.0
/162	664	10	16	+7.1	+4.4	-0.0	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
Christian Martin (OGILVIE)	23	45	25	55	45	168/266/227	59	244	1	10	29%	10%	46	-1.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Miguel Arrendell 2011 · A	23	43	38→30	50	50	204/283/278	75	275	5	13	26%	9%	62	-1.4	220/277/315	95	278	8	8	22%	7%	68	-1.0	233/284/329	97	269	9	2	17%	6%	70	-0.3
✕Julio Gonzalez 2018 · A	23	48	35→30	55→50	50	223/288/289	66	286	2	12	22%	8%	66	-1.1	206/269/276	70	268	2	8	22%	8%	56	-1.9	173/238/228	55	217	0	5	19%	8%	31	-1.0
✕Matt Smith 2006 · A	23	43→49	35→30	48→50	48	202/266/255	54	267	2	10	24%	8%	50	-2.3	213/271/269	56	290	3	9	25%	7%	55	-2.0	211/270/256	45	289	2	9	26%	7%	49	-1.8
✕Jamodrick McGruder 2014 · A	22	40→44	37→40	52→50	47	193/261/259	66	255	5	10	25%	8%	50	-2.3	212/286/308	96	275	7	10	23%	9%	70	-0.8	208/289/307	99	266	6	10	22%	10%	68	-0.7
✕Michael DeJesus 2006 · A	23	43→51	36→30	50→45	50	200/287/267	67	290	3	11	30%	10%	61	-1.5	224/299/284	60	278	4	7	19%	10%	70	-0.9	229/306/285	57	278	4	5	17%	10%	70	-0.6
✕Patrick Biondi 2015 · A	24	45→44	36→30	50→60	45	211/269/279	67	280	3	15	25%	7%	57	-1.8	231/285/297	66	308	3	25	24%	7%	66	-1.1	238/295/292	55	316	2	32	24%	7%	66	-0.7
✕Cam Coursey 2022 · A	23	44	38→40	52→55	48	208/273/289	81	264	5	16	22%	8%	61	-1.5	211/287/288	77	276	4	10	23%	9%	66	-1.1	197/290/254	56	258	2	4	22%	10%	59	-0.7
✕Wang-Wei Lin 2011 · A	23	47→53	36→30	50	47	219/286/279	61	282	4	11	23%	8%	63	-1.3	228/301/300	72	297	4	9	23%	8%	74	-0.6	230/307/298	68	298	4	9	22%	8%	72	-0.5
✕Carlos Sepulveda 2021 · A	24	45	34→30	49→45	47	211/274/263	53	280	2	12	24%	8%	55	-2.0	210/278/281	71	273	4	7	23%	8%	61	-1.5	191/263/253	62	248	4	3	23%	8%	46	-1.3
✕Sergio Burruel 2014 · AAA	23	44	36→30	50→30	43	209/267/275	66	286	3	8	27%	7%	55	-2.0	236/283/304	68	308	5	5	24%	5%	67	-1.1	242/305/311	69	297	6	1	19%	7%	75	-0.2
✕River Town 2022 · A	23	43→38	37→40	54→50	43	203/281/276	74	285	3	12	28%	7%	61	-1.5	210/295/314	104	266	10	15	23%	8%	76	-0.4	205/297/303	98	254	9	15	22%	9%	73	-0.4
✕Elias Arias 2016 · A	22	45	36→30	46→55	46	211/274/274	63	275	4	13	24%	7%	57	-1.8	200/254/283	83	304	6	9	34%	6%	52	-2.2	161/210/245	83	254	7	9	38%	5%	23	-0.9
✕Branden Cogswell 2015 · A	22	43→46	36→30	50→45	46	205/273/271	66	268	4	8	24%	7%	57	-1.8	216/278/276	60	299	3	6	26%	8%	59	-1.7	221/282/269	48	303	1	5	25%	8%	56	-1.3
✕Devyn Bolasky 2016 · A	23	45	37→30	47→45	50	211/281/283	72	255	4	12	18%	8%	62	-1.4	232/280/308	76	279	3	7	17%	6%	67	-1.1	252/294/321	69	299	1	3	15%	5%	71	-0.3
✕Bryant Flete 2016 · AA	23	40→46	36→40	46→50	47	192/258/253	61	254	3	8	25%	8%	47	-2.5	210/262/292	82	279	6	6	25%	6%	57	-1.8	214/275/284	70	292	5	4	27%	6%	58	-0.9
✕Gabriel Maciel 2022 · A	23	44→52	37→30	54→55	45	208/267/278	70	274	4	19	25%	7%	55	-1.9	220/279/301	81	282	5	13	22%	7%	65	-1.2	232/292/307	76	288	2	11	19%	7%	68	-0.4
✕James Rapoport 2008 · A	23	43→53	34→40	53→55	42	201/250/254	53	275	2	18	27%	6%	43	-2.8	232/285/300	68	291	4	16	20%	6%	67	-1.1	246/303/314	68	296	4	13	17%	7%	74	-0.5
✕James Ramsay 2015 · A	23	43→53	38→40	58→50	46	201/270/296	95	279	4	19	28%	8%	61	-1.5	224/282/323	99	285	7	11	23%	7%	72	-0.7	229/285/325	97	283	8	8	21%	7%	70	-0.7
✕Greg Miclat 2010 · A	23	43→53	34→30	52→60	44	203/252/255	51	267	2	16	24%	6%	44	-2.8	242/297/308	66	320	3	23	23%	7%	74	-0.6	258/317/325	67	341	2	28	23%	7%	81	-0.0
✕Alvaro Rondon 2015 · A	24	45	36→30	53→55	41	214/255/286	72	286	3	10	26%	5%	52	-2.2	225/270/293	68	293	2	16	22%	6%	59	-1.6	244/285/300	56	307	0	27	19%	5%	65	-0.4

Career Stats + Projections

Career Comps

Career Path Comps