Tony Santa Maria

Tony Santa Maria3B Bowling Green Hot Rods

Age 24 R/R 5'11" / 195 lbs A+ HR +6%H +4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION488 act + 10 ros · stats below = ROS only

showingROS

wRC+†94

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP308

ISO132

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$34M ctrl surplus

Tools · ContractCON 37 / POW 44

Toolsscout grade

CONTACT37

scouting grade only

POWER44

scouting grade only

EYE50

scouting grade only

SPEED71

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	+0.9	$3M	+$2M
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Arb-1	$1M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-2	$1M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-3	$0.6M	—	—	—
Totals		$3M		$7M	+$5M

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)
2025	23	A+	Bowling Green Hot Rods	—	69	62	17	6	0	2	3	20	3	3	1	274	338	468	806	194	366	29	4	352	125	+2	+0	—	—	+1	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	23	A+ MLE	Bowling Green Hot Rods	—	69	63	14	4	0	2	2	26	3	3	1	222	279	381	660	159	311	38	3	268	68	-3	+0	—	—	+1	-0.1
2025	23	A+ MLE	Bowling Green Hot Rods	—	69	63	14	4	0	2	2	26	3	3	1	222	279	381	660	159	333	38	3	268	68	—	—	—	—	—	—
2025	23	A+ RAW	Bowling Green Hot Rods	—	69	62	17	6	0	2	3	20	3	3	1	274	338	468	806	194	366	29	4	352	68	—	—	—	—	—	—
2025	23	A+ MLE	Bowling Green Hot Rods	—	69	64	14	4	0	2	2	26	3	3	1	219	279	375	654	156	311	38	3	268	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	23	A+ MLE	Bowling Green Hot Rods	—	69	64	14	4	0	2	2	26	3	3	1	219	279	375	654	156	311	38	3	268	68	—	—	—	—	—	—
YTD	24	A+ MLE	TB	—	488	425	101	16	0	12	44	134	17	58	9	238	333	360	693	122	317	27	9	305	92	-4	+8	+0	+2	+11	1.6
▸ 2026 season
YTD	24	A+ RAW	TB	—	438	361	105	17	0	14	59	89	16	55	8	291	413	454	867	163	350	20	13	390	92	—	—	—	—	—	—
YTD	24	AAA RAW	TB	—	50	42	8	2	0	1	7	12	1	3	1	190	320	310	630	119	241	24	14	296	92	—	—	—	—	—	—
ROS	24	A+ MLE	TB	0%	10	9	1	0	0	0	1	3	0	1	0	111	200	111	311		300	30	10	307	94	-0	+0	+0	+0	+0	0.0
TOT	24	A+ MLE	TB	—	498	434	102	16	0	12	45	137	17	59	9	235	331	355	685	120	314	28	9	305	92	-5	+8	+0	+2	+11	1.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	TB	38%	527	465	108	19	1	13	45	139	12	32	5	232	316	361	677	129	298	26	9	306	93	-4	+4	+0	+2	+11	1.4
2028	26	MLB MLE	TB	55%	567	500	117	20	1	15	49	148	13	34	6	234	319	368	687	134	297	26	9	308	95	-4	+4	+0	+2	+12	1.5
2029	27	MLB MLE	TB	61%	572	505	118	21	1	15	50	148	12	34	6	234	317	368	686	135	297	26	9	309	95	-3	+4	+0	+2	+12	1.6
2030	28	MLB MLE	TB	65%	571	504	117	20	1	15	50	148	12	33	5	232	316	365	681	133	296	26	9	308	95	-4	+5	-1	+2	+12	1.5
2031	29	MLB MLE	TB	64%	566	499	115	20	1	14	50	148	12	30	5	230	316	359	674	128	295	26	9	306	93	-4	+4	-1	+2	+12	1.3
2032	30	MLB MLE	TB	64%	559	493	112	19	1	14	49	148	12	27	5	227	312	355	667	128	294	26	9	303	91	-6	+3	-2	+2	+12	1.0
2033	31	MLB MLE	TB	64%	381	336	76	13	1	9	34	102	8	16	3	226	312	351	663	125	291	27	9	299	89	-5	+2	-3	+1	+8	0.4
2034	32	MLB MLE	TB	64%	363	320	70	12	0	8	32	98	8	13	2	219	306	331	637	112	287	27	9	293	85	-7	+2	-4	+1	+8	0.1
2035	33	MLB MLE	TB	64%	334	295	62	10	0	7	29	92	7	9	2	210	296	315	611	105	283	28	9	286	80	-8	+1	-4	+1	+7	-0.3
2027	25	MLB CTX	TB	38%	200	176	41	7	0	5	17	53	5	12	2	233	318	358	676	125	307	26	8	296	93	-2	+2	+0	+1	+4	0.5
2028	26	MLB CTX	TB	55%	315	278	67	12	1	8	27	82	7	19	3	241	324	378	701	137	306	26	9	299	95	-2	+3	+0	+1	+7	0.9
2029	27	MLB CTX	TB	61%	351	309	74	13	1	9	31	91	8	21	4	239	325	375	700	136	305	26	9	300	95	-2	+3	+0	+1	+8	1.0
2030	28	MLB CTX	TB	65%	368	325	78	14	1	10	32	96	8	21	4	240	323	382	705	142	305	26	9	300	95	-2	+3	-0	+1	+8	0.9
2031	29	MLB CTX	TB	64%	365	322	77	14	1	10	32	95	8	19	3	239	323	382	705	143	304	26	9	297	93	-3	+3	-1	+1	+8	0.8
2032	30	MLB CTX	TB	64%	360	317	74	13	1	9	32	95	8	17	3	233	319	366	685	132	302	26	9	294	91	-4	+2	-1	+1	+8	0.6
2033	31	MLB CTX	TB	64%	245	216	50	9	0	6	22	65	5	10	2	231	317	356	673	125	299	27	9	290	89	-3	+1	-2	+1	+5	0.2
2034	32	MLB CTX	TB	64%	233	205	47	8	0	6	21	63	5	8	1	229	316	356	672	127	295	27	9	284	85	-4	+1	-2	+1	+5	0.1
2035	33	MLB CTX	TB	64%	215	190	42	7	0	5	19	59	4	6	1	221	305	337	642	116	291	27	9	278	80	-5	+1	-3	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2652	2338	550	97	5	68	233	699	58	133	23	235	320	368	688	133	304	26	9	294	91	-27	+17	-9	+9	+57	4.9
/ 162G	—	A+C		—	650	573	135	24	1	17	57	171	14	33	6	236	319	370	689	134	304	26	9	294	91	-7	+4	-2	+2	+14	1.2
Career	—	MLE		—	4519	3989	910	158	7	112	391	1200	99	232	40	228	313	355	668	127	295	27	9	303	91	-44	+30	-15	+16	+96	8.5
/ 162G	—	MLE		—	650	574	131	23	1	16	56	173	14	33	6	228	312	355	668	127	296	27	9	303	91	-6	+4	-2	+2	+14	1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1B.J. Uptonlast yr '16 career totals — 12 seasons, 5,858 PA	8.8	5,858	164	300	243	321	402	+14	+17	24.5	24.5
/162	664	19	34	+1.6	+2.0	2.8	pk7: 25
#2Jonathan Villarlast yr '22 career totals — 10 seasons, 3,934 PA	5.9	3,934	101	239	255	322	397	+24	-40	12.8	13.9
/162	664	17	40	+4.0	-6.8	2.2	pk7: 15
#3Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#4Leonys Martinlast yr '19 career totals — 8 seasons, 2,784 PA	4.2	2,784	58	126	243	301	366	+10	+53	10.7	10.8
/162	664	14	30	+2.4	+12.6	2.5	pk7: 11
#5Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	4.0	2,653	66	134	230	311	359	+9	+2	7.1	6.9
/162	664	17	33	+2.4	+0.6	1.8	pk7: 7
#6Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5

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
Tony Santa Maria (OGILVIE)	24	37	44	71	50	229/317/355	126	300	4	14	27%	8%	94	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Anthony Norman 2009 · A	24	47→42	47→50	62→55	52	231/311/376	145	274	13	24	21%	9%	95	+1.0	216/290/343	127	276	11	14	24%	8%	80	-0.2	206/275/315	109	281	7	9	27%	7%	67	-0.3
✕Tim Tawa 2022 · A	23	45→44	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	211/273/334	123	271	14	11	27%	7%	72	-0.7	224/287/394	170	271	21	14	25%	7%	89	+0.4
●Matt McLain 2023 · AA	23	40→50	49→55	59→55	47	205/293/360	155	287	16	24	33%	10%	86	+0.3	245/323/418	173	327	19	21	29%	9%	109	+2.0	229/312/387	159	297	19	21	28%	9%	96	+0.9
✕Jonny DeLuca 2022 · A	24	40→37	53→60	56→55	45	216/275/390	173	253	21	15	24%	7%	85	+0.2	224/289/407	183	256	22	16	22%	7%	95	+0.9	221/290/400	179	249	21	19	21%	7%	91	+0.4
✕Chad Hinshaw 2015 · A	24	45→43	47→45	56→55	39	220/296/364	144	302	14	23	31%	6%	88	+0.4	214/287/317	103	310	8	24	31%	7%	73	-0.6	201/274/282	81	300	6	25	32%	7%	57	-0.9
✕Dylan Moore 2017 · A	24	44→48	44→50	54→65	47	216/295/339	123	274	11	23	24%	8%	81	-0.1	209/275/329	120	265	11	18	25%	7%	71	-0.8	207/330/379	172	285	16	41	30%	12%	101	+0.7
✕Adalberto Santos 2012 · A	24	51→54	43→45	59→55	48	246/306/367	121	297	8	21	20%	7%	91	+0.6	255/316/349	94	318	6	20	20%	7%	90	+0.6	259/323/341	82	327	5	21	21%	8%	88	+0.2
✕Mikey Perez 2023 · A	23	42→35	44→45	58→60	43	204/289/330	125	286	11	31	31%	8%	78	-0.3	198/284/316	118	296	12	26	35%	8%	72	-0.7	150/256/252	101	230	14	36	38%	9%	47	-1.0
✕José Caballero 2022 · AA	25	44→46	44→45	55→70	47	218/294/339	121	286	11	29	27%	8%	81	-0.1	224/328/338	114	288	11	41	24%	11%	94	+0.9	225/318/339	113	300	10	63	26%	9%	88	+0.3
✕Ryan Cordell 2016 · AA	24	46→43	48→50	55→50	40	233/279/376	143	297	16	15	27%	5%	83	+0.1	216/261/356	140	281	15	14	28%	5%	72	-0.7	202/246/339	137	261	15	14	28%	5%	61	-0.8
✕Trey Sweeney 2023 · AA	23	39→43	47→50	58→55	46	200/276/339	139	268	15	19	30%	9%	74	-0.5	213/284/345	132	280	14	17	28%	8%	78	-0.3	213/282/342	129	276	14	17	27%	8%	75	-0.4
✕Elijah Dunham 2023 · AA	25	43→42	48→50	58→60	47	219/291/369	150	281	15	28	27%	8%	86	+0.3	206/275/345	139	286	14	25	31%	8%	75	-0.5	190/261/322	133	270	13	24	33%	8%	62	-0.9
✕Joey Wiemer 2023 · AAA	24	43→44	51→55	56→55	42	220/284/382	162	298	19	23	32%	7%	86	+0.3	202/275/330	128	280	14	17	31%	8%	72	-0.7	185/267/299	114	254	13	16	31%	9%	59	-1.1
✕Leo German 2017 · AAA	24	49→56	42→45	61→55	40	239/285/351	112	305	9	28	24%	5%	79	-0.2	264/300/346	82	345	6	22	24%	4%	83	+0.1	279/314/353	75	359	6	19	23%	4%	86	+0.2
✕Craig Stansberry 2006 · AA	24	43→47	50	56→50	43	222/278/391	169	279	16	15	27%	6%	86	+0.3	215/285/350	135	267	12	13	23%	8%	80	-0.2	209/286/332	123	256	11	11	22%	9%	74	-0.5
✕Justin Dean 2021 · A	24	47→49	42→45	58→65	44	222/293/331	108	316	8	23	30%	8%	78	-0.3	203/281/302	99	319	8	27	36%	8%	68	-1.0	212/292/295	83	324	7	47	34%	9%	67	-0.7
✕Austin Wells 2023 · AA	24	43	51→55	57→50	48	219/303/382	163	293	19	14	31%	10%	94	+0.9	215/289/381	166	264	20	8	26%	8%	88	+0.5	208/282/381	173	246	21	5	25%	8%	85	+0.2
✕Anthony Volpe 2023 · AAA	22	42→50	52→55	60→55	48	218/298/397	180	264	19	29	25%	8%	96	+1.0	219/284/371	152	274	16	24	25%	8%	84	+0.2	224/284/362	138	278	14	23	24%	7%	80	-0.1
✕Peter Bourjos 2010 · AA	23	51→55	42→50	62→60	43	245/288/362	117	303	7	28	22%	5%	82	-0.0	246/294/386	140	303	12	24	22%	5%	91	+0.6	249/309/385	136	316	11	18	24%	6%	95	+0.5
✕Corey Toups 2017 · AA	24	47→50	43→45	56→50	43	228/289/352	124	303	9	17	27%	7%	81	-0.1	208/269/313	105	313	9	15	34%	7%	65	-1.2	191/255/282	91	299	8	16	37%	7%	50	-1.4

Career Stats + Projections

Career Comps

Career Path Comps