Sandy Presbot — OGILVIE

Sandy PresbotSS DSL Marlins

Age 18 S/R 5'7" / 160 lbs ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION188 act + 17 ros · stats below = ROS only

showingROS

wRC+†57

AVG/OBP/SLG.133 / .235 / .133

PA17

HR0

K%29

BB%12

BABIP253

ISO83

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE55

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$3M	+0.6	$1M	+$0.1M
2036	Arb-2	$5M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$5M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$6M	+$2M

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	17	ROK	DSL Miami	—	222	179	49	6	5	2	32	48	7	28	12	274	404	397	800	123	353	22	14	360	130	+8	+1	—	—	+5	1.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Miami	—	222	191	38	4	3	1	20	66	7	28	12	199	298	267	565	68	282	30	9	260	62	-10	+1	—	—	+5	-0.4
2025	17	ROK MLE	DSL Miami	—	222	191	38	4	3	1	20	66	7	28	12	199	298	267	565	68	289	30	9	260	62	—	—	—	—	—	—
2025	17	ROK RAW	DSL Miami	—	222	179	49	6	5	2	32	48	7	28	12	274	404	397	800	123	353	22	14	360	62	—	—	—	—	—	—
2025	17	ROK MLE	DSL Miami	—	222	193	38	4	3	1	20	66	7	28	12	197	298	264	562	67	282	30	9	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Miami	—	222	193	38	4	3	1	20	66	7	28	12	197	298	264	562	67	282	30	9	260	62	—	—	—	—	—	—
YTD	18	ROK MLE	MIA	—	188	164	25	2	1	2	19	56	4	46	9	152	257	213	470	61	215	30	10	214	31	-15	+6	+0	+2	+4	-0.4
▸ 2026 season
YTD	18	ROK RAW	MIA	—	188	150	31	3	1	2	32	39	4	46	9	207	358	280	638	73	264	21	17	306	31	—	—	—	—	—	—
ROS	18	ROK MLE	MIA	0%	17	15	2	0	0	0	2	5	0	2	0	133	235	133	369		259	29	12	252	57	-1	+0	+0	+0	+0	0.0
TOT	18	ROK MLE	MIA	—	205	179	27	2	1	2	21	61	4	48	9	151	255	207	462	56	214	30	10	217	33	-16	+6	+0	+2	+4	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	MIA	34%	271	241	48	7	2	4	24	71	4	12	2	199	283	295	577	95	265	26	9	265	66	-11	+2	+0	+3	+6	-0.1
2028	20	MLB MLE	MIA	48%	393	348	72	11	3	6	36	101	6	14	3	207	292	307	600	101	269	26	9	275	73	-13	+2	+0	+4	+9	0.1
2029	21	MLB MLE	MIA	54%	484	429	90	14	3	9	44	122	8	15	3	210	295	319	615	110	271	25	9	282	77	-13	+2	+0	+5	+10	0.4
2030	22	MLB MLE	MIA	57%	548	484	104	16	4	11	50	137	9	16	3	215	300	333	633	118	273	25	9	286	80	-13	+2	+0	+6	+12	0.7
2031	23	MLB MLE	MIA	58%	592	522	113	18	4	12	55	147	10	16	3	216	303	335	638	119	273	25	9	288	81	-13	+2	+0	+6	+13	0.8
2032	24	MLB MLE	MIA	57%	616	544	119	19	4	13	57	152	10	16	3	219	304	340	644	121	274	25	9	290	82	-13	+2	+0	+7	+13	0.9
2033	25	MLB MLE	MIA	57%	627	554	120	19	4	13	58	154	10	16	3	217	302	336	638	119	274	25	9	291	83	-13	+2	+0	+7	+14	1.0
2034	26	MLB MLE	MIA	57%	635	560	121	19	4	13	59	156	11	16	3	216	303	334	637	118	274	25	9	291	83	-13	+2	+0	+7	+14	1.0
2035	27	MLB MLE	MIA	60%	634	558	121	19	4	13	60	157	11	16	3	217	305	335	640	118	274	25	9	291	83	-13	+2	+0	+7	+14	1.0
2036	28	MLB MLE	MIA	62%	629	553	120	19	4	13	60	156	11	15	3	217	306	336	642	119	274	25	10	290	83	-13	+2	-1	+7	+14	0.9
2037	29	MLB MLE	MIA	63%	619	545	116	18	4	12	59	155	10	14	3	213	301	327	628	114	273	25	10	289	81	-14	+2	-1	+7	+13	0.7
2038	30	MLB MLE	MIA	63%	609	536	115	18	4	12	58	154	10	14	3	215	303	330	633	116	272	25	10	286	80	-15	+2	-2	+7	+13	0.5
2039	31	MLB MLE	MIA	65%	595	523	109	17	3	11	57	152	10	13	3	208	298	315	614	107	270	26	10	282	77	-16	+1	-3	+6	+13	0.2
2040	32	MLB MLE	MIA	65%	576	507	104	16	3	10	55	150	9	12	2	205	294	308	602	103	267	26	10	277	74	-18	+2	-4	+6	+12	-0.1
2027	19	MLB CTX	MIA	34%	93	84	16	2	1	1	8	24	1	4	1	190	269	274	543	83	259	26	9	248	66	-4	+0	+0	+1	+2	-0.0
2028	20	MLB CTX	MIA	48%	190	168	34	5	1	3	17	49	3	7	1	202	287	298	585	95	262	26	9	258	73	-6	+1	+0	+2	+4	0.1
2029	21	MLB CTX	MIA	54%	262	232	48	7	2	5	24	66	4	8	2	207	292	319	611	112	264	25	9	264	77	-7	+1	+0	+3	+6	0.2
2030	22	MLB CTX	MIA	57%	310	274	58	9	2	6	28	77	5	9	2	212	296	325	621	113	266	25	9	267	80	-7	+1	+0	+3	+7	0.4
2031	23	MLB CTX	MIA	58%	341	301	63	10	2	6	31	84	6	9	2	209	296	316	611	106	266	25	9	270	81	-8	+1	+0	+4	+7	0.5
2032	24	MLB CTX	MIA	57%	351	310	65	10	2	7	32	87	6	9	2	210	296	323	619	113	267	25	9	271	82	-7	+1	+0	+4	+8	0.5
2033	25	MLB CTX	MIA	57%	356	314	66	10	2	7	33	88	6	9	2	210	297	322	619	111	267	25	9	272	83	-7	+1	+0	+4	+8	0.5
2034	26	MLB CTX	MIA	57%	359	317	66	10	2	7	33	88	6	9	2	208	295	319	614	110	267	25	9	272	83	-7	+1	+0	+4	+8	0.5
2035	27	MLB CTX	MIA	60%	379	334	70	11	2	7	36	94	6	9	2	210	298	317	615	108	267	25	9	272	83	-8	+1	+0	+4	+8	0.6
2036	28	MLB CTX	MIA	62%	389	342	72	11	2	8	37	97	7	9	2	211	301	325	625	114	267	25	10	271	83	-8	+1	-0	+4	+8	0.5
2037	29	MLB CTX	MIA	63%	389	343	71	11	2	7	37	97	6	9	2	207	295	312	607	105	266	25	10	270	81	-9	+1	-1	+4	+8	0.4
2038	30	MLB CTX	MIA	63%	387	341	70	10	2	7	37	98	6	9	2	205	294	308	602	103	265	25	10	267	80	-9	+1	-1	+4	+8	0.3
2039	31	MLB CTX	MIA	65%	387	341	69	10	2	7	37	99	6	8	2	202	292	305	597	103	263	26	10	264	77	-11	+1	-2	+4	+8	0.1
2040	32	MLB CTX	MIA	65%	374	329	65	9	2	6	36	97	6	8	2	198	288	292	580	94	260	26	10	259	74	-12	+1	-2	+4	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4567	4030	833	125	26	84	426	1145	74	116	26	207	294	313	607	106	265	25	9	267	79	-110	+13	-7	+49	+99	4.5
/ 162G	—	A+C		—	650	574	119	18	4	12	61	163	11	17	4	207	296	315	611	108	266	25	9	267	79	-16	+2	-1	+7	+14	0.6
Career	—	MLE		—	8067	7110	1512	234	53	153	754	2035	136	235	52	213	300	325	625	112	274	25	9	285	79	-191	+25	-10	+84	+170	7.9
/ 162G	—	MLE		—	650	573	121	19	4	12	61	164	11	19	4	211	299	321	620	110	273	25	9	285	79	-16	+2	-1	+7	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny 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
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.2	4,759	90	123	214	298	327	+51	+27	7.7	6.5
/162	664	13	17	+7.1	+3.8	1.1	pk7: 5
#5Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#6Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	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
Sandy Presbot (OGILVIE)	18	40	30	60	55	189/274/264	75	259	2	19	27%	9%	57	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jodaneli Carvajal 2010 · A	18	43	38→30	62→55	43	207/259/290	83	274	4	20	25%	6%	55	-1.9	213/265/278	65	273	2	17	21%	6%	54	-2.0	213/263/269	56	268	2	18	20%	5%	49	-0.8
✕Jeremy Arocho 2018 · A	19	43→45	38→30	53→60	41	203/260/286	83	285	4	12	29%	6%	55	-2.0	223/283/291	68	291	2	11	22%	7%	64	-1.3	223/334/268	45	305	1	34	23%	14%	77	-0.2
✕Luis Barahona 2012 · A	18	46	36→30	53→50	48	216/284/286	70	285	3	14	24%	8%	64	-1.3	206/260/268	62	282	2	13	26%	6%	50	-2.3	200/252/254	54	273	0	16	25%	6%	41	-1.1
✕Luis Arcendo 2018 · A	18	44	36→30	54→50	46	209/274/278	69	274	3	13	24%	7%	58	-1.7	196/257/259	63	280	3	13	29%	7%	47	-2.5	115/183/136	21	170	0	19	30%	8%	-8	-1.2
✕Emmanuel Morel 2016 · A	19	45	35→30	53→55	49	207/286/270	62	293	2	17	28%	9%	61	-1.5	187/257/246	59	306	2	15	36%	8%	45	-2.7	139/207/173	34	251	0	17	41%	7%	8	-1.1
✕Olvy Marte 2013 · A	18	46	36→40	49→55	44	213/288/277	65	286	3	18	25%	7%	64	-1.3	220/281/292	72	293	2	16	24%	6%	64	-1.3	224/283/295	71	296	1	19	23%	6%	63	-0.5
✕Yamal Encarnacion 2022 · A	18	43	37→40	51→60	47	204/269/281	77	269	4	13	24%	8%	57	-1.8	205/266/267	62	274	3	17	24%	7%	53	-2.1	225/283/303	79	291	5	45	23%	7%	64	-0.6
✕Francisco Aponte 2009 · A	18	43	36→30	49→60	46	205/268/268	64	265	4	9	23%	7%	54	-2.0	230/305/289	59	291	2	17	20%	8%	73	-0.6	224/288/270	46	274	0	22	17%	8%	61	-0.6
✕Julio Izturis 2008 · A	18	44	33→30	54→60	48	202/278/241	39	250	1	24	19%	7%	53	-2.1	223/311/283	60	279	3	21	19%	9%	74	-0.5	234/339/288	54	291	3	28	18%	11%	84	+0.0
✕Chris Torres 2016 · A	18	43→37	37→30	50→55	50	200/288/273	73	290	4	15	30%	10%	63	-1.3	203/274/273	70	315	3	13	33%	9%	57	-1.8	181/262/239	58	298	3	15	36%	10%	42	-1.3
✕Carlos Willoughby 2008 · A	19	48→44	36→40	53→60	49	225/302/290	65	279	3	17	19%	7%	72	-0.7	231/314/298	67	298	2	28	21%	9%	78	-0.3	235/320/307	72	303	1	35	20%	9%	80	-0.0
✕Jaison Chourio 2023 · A	18	47→51	38→40	54→55	58	220/315/307	86	277	4	15	20%	12%	81	-0.1	224/315/307	83	317	4	21	27%	12%	81	-0.1	223/313/312	89	304	7	28	26%	11%	80	-0.1
✕Jilbert Rosario 2014 · A	19	46	36→30	52→55	46	216/291/285	69	292	3	15	25%	8%	67	-1.1	221/290/273	52	289	2	19	22%	8%	63	-1.4	225/295/260	35	292	0	25	21%	7%	59	-0.5
✕Chris Garia 2011 · A	18	39→49	35→40	52→60	43	185/248/243	58	253	3	19	27%	6%	40	-3.0	207/268/262	55	286	2	20	26%	7%	52	-2.2	232/271/341	109	306	8	32	26%	4%	67	-0.6
✕Juan Mosquera 2007 · A	19	38	35→30	49→55	44	180/246/238	57	263	3	15	31%	8%	38	-3.2	201/290/246	45	281	1	14	26%	10%	58	-1.7	210/308/237	27	280	0	17	22%	11%	61	-0.5
✕Michael Chirinos 2018 · A	18	41	37→40	51→55	50	193/251/266	73	225	4	11	16%	7%	47	-2.5	226/292/296	70	250	5	13	11%	8%	69	-0.9	236/307/298	61	253	5	16	8%	9%	76	-0.2
✕Hendry Jimenez 2009 · A	19	46	37→40	54→50	48	216/278/292	76	274	4	16	22%	7%	63	-1.4	231/298/311	80	292	4	13	21%	8%	75	-0.5	212/270/291	79	268	4	10	21%	6%	57	-0.6
✕Jorge Minyety 2010 · A	19	46	35→30	50	55	208/299/269	61	275	1	14	22%	11%	67	-1.1	215/285/280	65	301	2	9	27%	9%	63	-1.4	224/291/259	35	315	0	4	26%	9%	56	-0.4
✕Odalys Peguero 2022 · A	19	44	36→30	54→55	48	207/285/274	67	289	3	18	27%	9%	62	-1.4	187/266/255	68	281	3	16	31%	9%	51	-2.3	157/240/214	57	239	2	20	32%	9%	31	-1.5
✕Jim Caceres 2019 · A	18	43	40→45	55	48	207/277/305	97	255	6	14	21%	7%	65	-1.2	196/263/271	75	271	4	10	27%	7%	53	-2.1	124/200/139	15	187	0	10	30%	7%	-1	-1.0

Career Stats + Projections

Career Comps

Career Path Comps