Samuel Gil

SS West Michigan Whitecaps

Age 22 R/R 5'8" / 165 lbs A+ HR -8% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	20	A+DET	22	.077/.455/.077	0	1	42	—	.062/.318/.062
2025	20	ADET	362	.242/.359/.304	1	11	57	—	.204/.298/.257
2026	21	A+DET	413	.244/.327/.290	1	12	49	—	.215/.280/.255
2027PROJ0% MLB	22	MLBDET	2	.203/.280/.248	0	0	55	-0.0
2028PROJ35% MLB	23	MLBDET	157	.209/.286/.272	1	3	63	-0.2
2029PROJ46% MLB	24	MLBDET	227	.215/.292/.292	2	4	70	-0.0

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$0.8M+2

Skills · percentileMiLB Statcast 2026 A+

K%92

Whiff%79

Z-Con%69

Chase%66

Speed59

BB%26

Career WAR0 WAR median (P10 -0 / P90 1, comp-based) · star 1% · didn't stick 91%

CompsRichard Rodriguez (age 22) · Alberto Robles (age 22) · Yoel Campusano (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†55

AVG/OBP/SLG.203 / .280 / .248

PA2

HR0

K%19

BB%8

BABIP253

ISO52

MLB%0%

Value2027 · WAR

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

Tools · ContractCON 45 / POW 20

Toolsscout grade

CONTACT45

scouting grade only

POWER20

scouting grade only

EYE55

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Arb-1	$0.8M	—	—	—
2035	Arb-2	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.3M

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. 2027 = actual YTD + projected ROS + total. 2028+ 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)
2022	17	ROK	DSL Tigers 2	—	205	177	46	11	3	2	25	36	3	7	1	260	361	390	751	130	317	18	12	341	34	—	—	—	—	—	—
2023	18	ROK	FCL Tigers	—	192	161	48	7	2	2	29	32	1	7	4	298	408	404	812	106	359	17	15	369	72	—	—	—	—	—	—
2024	19	A	Lakeland Flying Tigers	—	370	319	73	8	4	1	44	78	4	7	3	229	330	288	618	60	296	21	12	289	47	—	—	—	—	—	—
2025	20	A+	West Michigan Whitecaps	—	22	13	1	0	0	0	9	3	0	1	0	77	455	77	531		100	14	41	327	42	—	—	—	—	—	—
2025	20	A	Lakeland Flying Tigers	—	362	306	74	12	2	1	50	49	6	11	2	242	359	304	663	62	285	14	14	313	57	—	—	—	—	—	—
2026	21	A+	West Michigan Whitecaps	—	413	365	89	10	2	1	38	62	7	12	2	244	327	290	617	47	289	15	9	287	49	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Tigers 2	—	205	184	30	6	2	1	18	44	3	7	1	163	249	234	482	71	209	21	9	219	34	—	—	—	—	—	—
2023	18	ROK MLE	FCL Tigers	—	192	172	39	5	1	2	18	47	1	7	4	227	304	302	606	76	301	24	9	274	72	—	—	—	—	—	—
2024	19	A MLE	Lakeland Flying Tigers	—	370	333	68	5	3	1	30	103	4	7	3	204	278	246	524	42	284	28	8	238	47	—	—	—	—	—	—
2025	20	A+ MLE	West Michigan Whitecaps	—	22	16	1	0	0	0	6	4	0	1	0	62	318	62	381		92	18	27	231	42	—	—	—	—	—	—
2025	20	A MLE	Lakeland Flying Tigers	—	362	319	65	10	2	1	37	67	6	11	2	204	298	257	555	53	252	19	10	253	57	—	—	—	—	—	—
2026	21	A+ MLE	West Michigan Whitecaps	—	413	376	81	8	2	1	27	79	7	12	2	215	280	255	536	40	263	19	7	241	49	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tigers 2	—	205	184	30	6	2	1	18	44	3	7	1	163	249	234	482	71	209	21	9	219	34	—	—	—	—	—	—
2022	17	ROK RAW	DSL Tigers 2	—	205	177	46	11	3	2	25	36	3	7	1	260	361	390	751	130	317	18	12	341	34	—	—	—	—	—	—
2023	18	ROK MLE	FCL Tigers	—	192	172	39	5	1	2	18	47	1	7	4	227	304	302	606	76	298	24	9	274	72	—	—	—	—	—	—
2023	18	ROK RAW	FCL Tigers	—	192	161	48	7	2	2	29	32	1	7	4	298	408	404	812	106	359	17	15	369	72	—	—	—	—	—	—
2024	19	A MLE	Lakeland Flying Tigers	—	370	333	68	5	3	1	30	103	4	7	3	204	278	246	524	42	289	28	8	238	47	—	—	—	—	—	—
2024	19	A RAW	Lakeland Flying Tigers	—	370	319	73	8	4	1	44	78	4	7	3	229	330	288	618	60	296	21	12	289	47	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	384	335	66	10	2	1	43	71	6	12	2	197	299	248	547	51	247	18	11	252	57	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	384	319	75	12	2	1	59	52	6	12	2	235	365	295	659	60	278	14	15	314	57	—	—	—	—	—	—
2026	21	A+ MLE	West Michigan Whitecaps	—	413	376	81	8	2	1	27	79	7	12	2	215	280	255	536	40	268	19	7	241	49	—	—	—	—	—	—
2026	21	A+ RAW	West Michigan Whitecaps	—	413	365	89	10	2	1	38	62	7	12	2	244	327	290	617	47	289	15	9	287	49	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tigers 2	—	205	182	30	6	2	1	18	44	3	7	1	165	249	236	485	71	209	21	9	219	34	—	—	—	—	—	—
2023	18	ROK MLE	FCL Tigers	—	192	171	39	5	1	2	18	47	1	7	4	228	304	304	608	76	301	24	9	274	72	—	—	—	—	—	—
2024	19	A MLE	Lakeland Flying Tigers	—	370	333	68	5	3	1	30	103	4	7	3	204	278	246	524	42	284	28	8	238	47	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	384	332	66	10	2	1	43	71	6	12	2	199	299	250	549	51	243	18	11	252	57	—	—	—	—	—	—
2026	21	A+ MLE	West Michigan Whitecaps	—	413	376	81	8	2	1	27	79	7	12	2	215	280	255	536	40	263	19	7	241	49	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Lakeland Flying Tigers	—	370	333	68	5	3	1	30	103	4	7	3	204	278	246	524	42	284	28	8	238	47	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	384	332	66	10	2	1	43	71	6	12	2	199	299	250	549	51	243	18	11	252	57	—	—	—	—	—	—
2026	21	A+ MLE	West Michigan Whitecaps	—	413	376	81	8	2	1	27	79	7	12	2	215	280	255	536	40	263	19	7	241	49	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	DET	0%	523	468	97	13	3	1	43	100	7	9	2	206	282	252	535	46	256	19	8	250	55	-28	+1	+0	+6	+11	-0.4
▸ 2027 — real world (MLB)
2027	22	MLB CTX	DET	0%	2	2	0	0	0	0	0	0	0	0	0	203	280	248	528	45	253	0	0	247	55	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	DET	35%	454	407	86	12	2	3	38	86	6	8	2	213	289	277	566	64	259	19	8	262	63	-20	+1	+0	+5	+10	-0.4
2029	24	MLB MLE	DET	46%	490	439	95	13	2	6	42	92	6	9	2	218	295	298	593	79	261	19	9	272	70	-17	+1	+0	+5	+11	-0.0
2030	25	MLB MLE	DET	52%	529	473	106	15	3	8	45	100	6	9	2	222	298	311	610	90	263	19	9	279	75	-16	+1	+0	+6	+11	0.2
2031	26	MLB MLE	DET	54%	546	487	109	15	3	9	47	104	7	9	2	223	300	320	620	96	264	19	9	283	77	-15	+1	+0	+6	+12	0.4
2032	27	MLB MLE	DET	58%	550	492	110	16	3	9	47	107	6	9	2	224	300	322	622	98	265	19	9	283	78	-14	+1	+0	+6	+12	0.4
2033	28	MLB MLE	DET	56%	548	490	110	16	3	9	47	107	6	7	2	222	298	317	616	95	265	20	9	281	76	-16	+1	-1	+6	+12	0.2
2034	29	MLB MLE	DET	59%	539	482	105	15	2	8	46	107	6	5	1	220	296	311	607	92	263	20	9	277	74	-17	+1	-1	+6	+12	-0.0
2035	30	MLB MLE	DET	56%	530	474	103	15	2	7	45	107	6	3	1	217	292	304	596	87	262	20	8	273	71	-18	+0	-2	+6	+11	-0.3
2028	23	MLB CTX	DET	35%	157	141	30	4	1	1	13	30	2	3	1	209	286	272	558	63	255	19	8	259	63	-7	+0	+0	+2	+3	-0.2
2029	24	MLB CTX	DET	46%	227	203	43	6	1	2	19	43	3	4	1	215	292	292	584	77	257	19	8	269	70	-8	+0	+0	+2	+5	-0.0
2030	25	MLB CTX	DET	52%	273	245	53	7	1	4	23	52	3	5	1	218	295	305	600	87	259	19	8	275	75	-8	+1	+0	+3	+6	0.1
2031	26	MLB CTX	DET	54%	296	265	58	8	1	5	25	56	4	5	1	220	297	313	610	93	260	19	8	279	77	-8	+1	+0	+3	+6	0.2
2032	27	MLB CTX	DET	58%	321	286	64	9	2	5	28	62	4	5	1	220	297	315	612	95	261	19	9	279	78	-8	+1	+0	+3	+7	0.3
2033	28	MLB CTX	DET	56%	309	275	61	9	1	5	27	61	4	4	1	218	295	310	606	92	261	20	9	277	76	-9	+0	-0	+3	+7	0.1
2034	29	MLB CTX	DET	59%	319	285	62	9	1	5	27	63	4	3	1	216	293	305	597	89	260	20	8	273	74	-10	+0	-1	+3	+7	-0.0
2035	30	MLB CTX	DET	56%	296	266	56	8	1	4	25	60	3	2	1	213	289	298	587	84	258	20	8	269	71	-10	+0	-1	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2198	1966	427	60	9	31	187	427	27	31	8	217	294	304	598	87	261	19	9	274	67	-68	+3	-2	+24	+48	0.4
/ 162G	—	A+C		—	650	581	127	18	3	9	55	126	8	9	2	219	295	306	601	88	263	19	8	274	67	-20	+1	-1	+7	+14	0.1
Career	—	MLE		—	6070	5431	1168	159	32	66	519	1215	74	110	27	215	292	293	585	78	264	20	9	267	67	-150	+7	-4	+48	+98	-0.1
/ 162G	—	MLE		—	650	582	125	17	3	7	56	130	8	12	3	215	293	290	583	76	263	20	9	267	67	-22	+1	-1	+7	+14	-0.0

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
#3Ronny 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
#4George Strickland'50-'60 * career totals — 8 seasons, 3,266 PA	4.9	3,266	36	12	219*	302*	329*	+28	+19	3.8	5.0
/162	664	7	2	+5.7	+3.8	0.8	pk7: 6
#5Lennie Merullo'41-'47 * career totals — 6 seasons, 2,264 PA	3.4	2,264	6	38	234*	283*	339*	+24	+15	3.3	3.3
/162	664	2	11	+7.1	+4.4	1.0	pk7: 3
#6Lena Blackburne'10-'27 * career totals — 5 seasons, 2,086 PA	3.1	2,086	4	54	215*	288*	334*	+13	+11	2.0	2.0
/162	664	1	17	+4.2	+3.4	0.6	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.3	2,200	31	30	221	294	311	+24	+12	1.9	2.0
/162	664	10	9	+7.1	+3.6	0.6	pk7: 2

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
Samuel Gil (OGILVIE)	22	45	20	45	55	204/280/250	46	256	1	6	19%	8%	55	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Richard Rodriguez 2015 · A	22	46	32→30	44→50	54	209/275/244	35	241	1	12	14%	8%	51	-2.3	214/257/260	46	274	2	8	21%	5%	47	-2.6	147/172/154	7	195	0	7	24%	3%	-12	-1.3
✕Alberto Robles 2013 · A	22	47	33→30	50→55	51	217/283/262	45	253	1	14	14%	7%	58	-1.7	229/273/299	70	273	4	14	17%	5%	62	-1.4	236/274/303	68	275	4	17	15%	4%	61	-0.6
✕Yoel Campusano 2009 · A	22	47→54	35→40	46→50	48	216/274/274	58	262	2	6	18%	7%	57	-1.8	229/278/311	82	282	6	8	20%	6%	67	-1.1	234/280/316	83	282	7	9	19%	5%	66	-0.5
✕Carlos Perdomo 2012 · A	22	50	35→30	46→50	49	229/274/285	56	253	2	12	11%	5%	59	-1.6	237/288/301	64	266	4	13	12%	6%	68	-1.0	245/300/302	57	274	4	13	12%	6%	71	-0.4
✕Juan Richardson 2009 · A	22	45	35→30	44→50	44	212/255/267	55	258	2	10	18%	5%	48	-2.5	212/255/272	60	262	3	7	19%	5%	49	-2.4	212/239/226	14	246	0	0	13%	3%	29	-0.8
✕Edgar Munoz 2014 · A	22	44	34→30	48→55	52	199/268/254	55	228	2	19	14%	7%	51	-2.3	209/252/292	83	281	7	7	27%	5%	53	-2.1	228/270/321	93	288	11	12	24%	5%	62	-0.4
✕Brallan Perez 2017 · A	21	49	36→30	46→50	51	227/290/289	62	260	3	11	14%	7%	67	-1.1	243/297/301	58	298	4	8	19%	6%	72	-0.7	240/298/284	44	299	2	7	19%	6%	65	-0.7
✕Jorge Flores 2014 · A	22	45→55	38→30	44→50	48	211/280/306	95	256	4	10	18%	7%	68	-1.0	241/293/306	65	291	2	10	17%	6%	72	-0.7	240/291/294	54	290	2	10	17%	5%	65	-0.8
✕Abel Nieves 2008 · A	22	45	36→40	45	47	208/271/275	67	281	2	6	25%	8%	56	-1.9	234/302/318	84	319	5	4	26%	9%	78	-0.3	235/307/317	82	313	5	2	24%	9%	76	-0.2
✕Rafael P Valera 2016 · A	21	47	34→30	47→55	49	217/292/275	57	291	1	10	24%	8%	65	-1.2	209/275/290	81	313	3	5	31%	7%	61	-1.5	185/256/275	90	288	2	1	33%	7%	48	-0.6
✕Manuel Palencia 2024 · A	21	48	34→40	45→40	52	218/277/269	51	243	2	6	11%	7%	57	-1.8	225/266/288	63	276	3	4	19%	5%	57	-1.8	234/271/300	65	289	5	2	20%	4%	58	-0.6
✕Leo Rodriguez 2014 · A	22	46	34→30	45	45	215/271/261	46	269	2	6	20%	6%	53	-2.1	230/273/287	57	285	3	7	19%	5%	59	-1.6	256/282/278	23	300	0	6	14%	3%	55	-0.6
✕Jeremy Arocho 2021 · A	22	48→44	36→30	48→60	47	224/284/295	71	288	3	10	22%	7%	65	-1.2	228/321/282	54	318	2	26	25%	12%	78	-0.3	221/328/267	46	302	1	34	24%	13%	75	-0.3
✕Dixon Mavares 2008 · A	22	42	34→30	47→50	52	190/271/245	55	221	2	11	14%	8%	51	-2.3	205/279/270	65	243	3	9	16%	8%	59	-1.6	198/281/249	51	228	1	11	13%	8%	53	-0.7
✕Yonathan Mendoza 2015 · A	21	46	35→30	46→45	50	216/280/274	58	267	2	8	19%	8%	59	-1.6	244/296/307	63	293	3	6	17%	7%	72	-0.7	255/305/308	53	303	3	5	16%	6%	75	-0.3
✕Anneury Peguero 2008 · A	21	44	34→30	48→50	54	202/284/251	49	245	2	11	17%	9%	57	-1.8	191/273/250	59	243	3	12	21%	9%	53	-2.1	126/233/152	27	155	2	18	18%	12%	16	-1.3
✕Nick Fortes 2019 · A	22	43→45	37→45	49→45	50	200/268/274	74	240	4	6	18%	8%	55	-1.9	201/265/295	94	250	8	5	22%	6%	59	-1.6	221/288/344	123	250	15	8	18%	6%	79	-0.1
✕Alex Gonzalez 2013 · A	22	42	34→30	48→60	51	194/275/247	53	247	1	12	21%	9%	53	-2.1	199/258/263	64	257	3	10	22%	6%	49	-2.4	178/220/221	43	220	3	13	20%	4%	21	-1.2
✕Jose Cordova 2021 · A	21	45	36→40	50	43	214/272/279	65	268	3	13	21%	5%	58	-1.7	209/262/276	67	302	3	9	30%	5%	53	-2.1	237/299/326	89	314	5	11	24%	7%	75	-0.2
✕Yeltsin Gudino 2019 · A	22	51→49	34→30	48→40	47	235/291/284	48	282	2	6	17%	6%	65	-1.2	223/272/283	60	279	4	6	20%	6%	58	-1.7	211/252/245	33	267	2	1	20%	5%	38	-1.5

Samuel Gil

Career Stats + Projections

Career Comps

Career Path Comps