Samuel Gil — OGILVIE

Samuel GilSS West Michigan Whitecaps

Age 21 R/R 5'8" / 165 lbs A+ HR -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION413 act + 10 ros · stats below = ROS only

showingROS

wRC+†54

AVG/OBP/SLG.222 / .300 / .222

PA10

HR0

K%20

BB%10

BABIP257

ISO50

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M 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 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	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Arb-1	$2M	+0.4	$0.9M	+$0.0M (cut)
2034	Arb-2	$3M	+0.4	$0.9M	+$0.0M (cut)
2035	Arb-3	$4M	+0.2	$0.4M	+$0.0M (cut)
Totals		$3M		$7M	+$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. 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)
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	117	+4	+1	—	—	+4	1.0
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	136	+8	-0	—	—	+4	1.2
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	81	-8	+0	—	—	+8	0.0
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	107	+0	+0	—	—	+0	0.1
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	98	-1	+1	—	—	+8	0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Tigers 2	—	205	187	35	7	2	2	15	52	3	7	1	187	259	278	537	91	251	25	7	238	47	-13	+1	—	—	+4	-0.8
2023	18	ROK MLE	FCL Tigers	—	192	172	39	5	1	2	18	47	1	7	4	227	304	302	606	76	299	24	9	272	70	-7	-0	—	—	+4	-0.3
2024	19	A MLE	Lakeland Flying Tigers	—	370	332	65	6	3	1	31	108	4	7	3	196	272	241	513	45	278	29	8	234	45	-24	+0	—	—	+8	-1.7
2025	20	A+ MLE	West Michigan Whitecaps	—	22	16	1	0	0	0	6	4	0	1	0	62	318	62	381		89	18	27	224	38	-2	+0	—	—	+0	-0.1
2025	20	A MLE	Lakeland Flying Tigers	—	362	316	63	11	1	1	40	70	6	11	2	199	301	250	551	51	254	19	11	258	61	-17	+1	—	—	+8	-0.8
2022	17	ROK MLE	DSL Tigers 2	—	205	187	35	7	2	2	15	52	3	7	1	187	259	278	537	91	248	25	7	238	47	—	—	—	—	—	—
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	47	—	—	—	—	—	—
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	272	70	—	—	—	—	—	—
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	70	—	—	—	—	—	—
2024	19	A MLE	Lakeland Flying Tigers	—	370	332	65	6	3	1	31	108	4	7	3	196	272	241	513	45	283	29	8	234	45	—	—	—	—	—	—
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	45	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	384	332	64	11	1	1	46	74	6	12	2	193	302	241	543	48	245	19	12	256	59	—	—	—	—	—	—
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	59	—	—	—	—	—	—
2022	17	ROK MLE	DSL Tigers 2	—	205	185	35	7	2	2	15	52	3	7	1	189	259	281	540	92	251	25	7	238	47	—	—	—	—	—	—
2023	18	ROK MLE	FCL Tigers	—	192	171	39	5	1	2	18	47	1	7	4	228	304	304	608	76	299	24	9	272	70	—	—	—	—	—	—
2024	19	A MLE	Lakeland Flying Tigers	—	370	332	65	6	3	1	31	108	4	7	3	196	272	241	513	45	278	29	8	234	45	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	384	329	64	11	1	1	46	74	6	12	2	195	302	243	545	49	245	19	12	256	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	FCL Tigers	—	192	171	39	5	1	2	18	47	1	7	4	228	304	304	608	76	299	24	9	272	70	—	—	—	—	—	—
2024	19	A MLE	Lakeland Flying Tigers	—	370	332	65	6	3	1	31	108	4	7	3	196	272	241	513	45	278	29	8	234	45	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	384	329	64	11	1	1	46	74	6	12	2	195	302	243	545	49	245	19	12	256	59	—	—	—	—	—	—
YTD	21	A+ MLE	DET	—	413	376	78	8	2	1	27	84	7	12	2	207	273	247	521	40	262	20	7	234	45	-27	+2	+0	+4	+9	-1.3
▸ 2026 season
YTD	21	A+ RAW	DET	—	413	365	89	10	2	1	38	62	7	12	2	244	327	290	617	47	289	15	9	287	45	—	—	—	—	—	—
ROS	21	A+ MLE	DET	0%	10	9	2	0	0	0	1	2	0	0	0	222	300	222	522		261	20	10	248	54	-1	+0	+0	+0	+0	-0.0
TOT	21	A+ MLE	DET	—	423	385	80	8	2	1	28	86	7	12	2	208	274	247	521	39	262	20	7	234	45	-28	+2	+0	+5	+9	-1.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	DET	35%	454	408	89	12	2	5	37	90	6	8	2	218	293	294	587	76	265	20	8	267	67	-18	+1	+0	+5	+10	-0.2
2028	23	MLB MLE	DET	49%	490	440	97	13	2	7	41	96	6	9	2	220	296	307	603	86	267	20	8	280	75	-14	+1	+0	+5	+11	0.3
2029	24	MLB MLE	DET	53%	529	473	107	15	2	9	44	103	7	9	2	226	302	323	625	97	269	19	8	287	81	-12	+1	+0	+6	+11	0.6
2030	25	MLB MLE	DET	55%	567	507	117	16	3	11	48	110	7	10	2	231	306	339	645	108	270	19	8	291	83	-11	+1	+0	+6	+12	0.9
2031	26	MLB MLE	DET	59%	573	511	118	16	3	11	49	111	8	10	2	231	308	339	647	108	270	19	9	293	84	-11	+1	+0	+6	+12	0.9
2032	27	MLB MLE	DET	57%	573	510	117	16	3	11	50	111	8	10	2	229	308	337	645	108	270	19	9	293	84	-11	+1	+0	+6	+12	0.9
2033	28	MLB MLE	DET	56%	568	506	115	16	2	11	50	111	7	10	2	227	306	332	638	105	270	20	9	292	84	-11	+1	-1	+6	+12	0.8
2034	29	MLB MLE	DET	59%	558	497	113	15	2	11	49	110	7	9	2	227	306	332	638	105	269	20	9	290	83	-11	+1	-1	+6	+12	0.6
2035	30	MLB MLE	DET	56%	547	487	110	15	2	10	48	109	7	8	2	226	304	326	631	101	268	20	9	288	81	-12	+1	-2	+6	+12	0.4
2036	31	MLB MLE	DET	59%	533	474	105	14	2	9	47	108	7	7	1	222	301	316	618	95	266	20	9	284	78	-14	+1	-3	+6	+12	0.2
2037	32	MLB MLE	DET	61%	514	458	101	13	2	9	45	106	6	5	1	221	299	317	615	96	263	21	9	279	75	-15	+1	-4	+6	+11	-0.2
2027	22	MLB CTX	DET	35%	157	141	31	4	1	2	13	31	2	3	1	220	295	305	600	85	261	20	8	254	67	-6	+0	+0	+2	+3	-0.1
2028	23	MLB CTX	DET	49%	238	213	46	6	1	3	20	47	3	4	1	216	292	296	588	80	263	20	8	266	75	-7	+0	+0	+3	+5	0.1
2029	24	MLB CTX	DET	53%	279	250	56	8	1	5	23	54	4	5	1	224	300	324	624	100	265	19	8	274	81	-6	+1	+0	+3	+6	0.3
2030	25	MLB CTX	DET	55%	310	277	63	9	1	6	26	60	4	5	1	227	303	332	635	105	266	19	8	277	83	-6	+1	+0	+3	+7	0.5
2031	26	MLB CTX	DET	59%	340	304	68	9	2	6	29	66	4	6	1	224	300	326	625	102	266	19	9	279	84	-6	+1	+0	+4	+7	0.6
2032	27	MLB CTX	DET	57%	326	291	65	9	1	6	28	63	4	6	1	223	300	323	623	100	266	19	9	279	84	-6	+1	+0	+3	+7	0.5
2033	28	MLB CTX	DET	56%	316	281	64	9	1	6	28	62	4	5	1	228	307	331	638	103	265	20	9	278	84	-6	+1	-0	+3	+7	0.4
2034	29	MLB CTX	DET	59%	327	291	65	9	1	6	29	64	4	5	1	223	302	323	625	100	265	20	9	277	83	-7	+1	-1	+4	+7	0.4
2035	30	MLB CTX	DET	56%	304	270	59	8	1	5	27	61	4	4	1	219	299	311	610	93	264	20	9	274	81	-7	+0	-1	+3	+7	0.2
2036	31	MLB CTX	DET	59%	312	277	60	8	1	5	28	63	4	4	1	217	298	307	605	90	262	20	9	270	78	-8	+0	-2	+3	+7	0.1
2037	32	MLB CTX	DET	61%	312	277	60	8	1	5	28	64	4	3	1	217	298	307	605	90	259	21	9	266	75	-9	+0	-2	+3	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3221	2872	637	87	12	55	279	635	41	50	11	222	300	318	618	96	264	20	9	273	76	-75	+6	-6	+35	+70	2.9
/ 162G	—	A+C		—	650	580	128	18	2	11	56	128	8	10	2	221	298	316	614	95	263	20	9	273	76	-15	+1	-1	+7	+14	0.6
Career	—	MLE		—	7067	6303	1394	190	32	110	619	1448	90	128	30	221	300	314	614	93	269	20	9	280	76	-141	+11	-10	+63	+128	5.2
/ 162G	—	MLE		—	650	580	128	17	3	10	57	133	8	12	3	221	299	312	611	91	268	20	9	280	76	-16	+1	-1	+7	+14	0.6

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
#4Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#5Gordon 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.9	3,224	58	51	227	301	328	+35	+18	5.3	4.8
/162	664	12	10	+7.1	+3.7	1.1	pk7: 4

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)	21	45	20	45	55	204/278/249	45	261	1	7	20%	8%	54	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Richard Rodriguez 2014 · A	21	42	33→30	48→50	48	196/255/237	41	245	1	14	20%	7%	42	-2.9	237/286/279	42	293	1	10	18%	6%	61	-1.5	240/292/258	18	289	0	11	16%	7%	58	-0.6
✕Anneury Peguero 2008 · A	21	48	35→30	48→50	51	224/298/278	54	280	2	11	20%	8%	68	-1.0	205/282/270	65	269	4	12	23%	9%	60	-1.6	150/247/186	36	193	3	18	22%	10%	27	-1.1
✕Brallan Perez 2017 · A	21	50	36→30	46→50	50	232/293/296	63	269	3	11	15%	7%	69	-0.9	240/293/298	58	295	4	8	19%	6%	70	-0.9	237/293/280	43	295	2	7	19%	6%	62	-0.8
✕Kelvin Fajardo 2016 · A	20	47	33→30	44→50	46	218/273/262	43	264	1	6	17%	6%	54	-2.0	214/271/269	55	255	2	8	16%	6%	55	-2.0	211/269/239	28	236	0	8	10%	6%	45	-0.8
✕Dixon Mavares 2008 · A	22	46	35→30	47→50	50	212/288/274	62	252	2	11	16%	7%	63	-1.3	224/295/299	75	271	4	9	17%	8%	72	-0.7	241/316/306	65	285	2	11	15%	8%	78	-0.1
✕Elio Castillo 2015 · A	21	46	33→30	50	49	211/280/256	45	263	1	9	19%	8%	56	-1.9	208/259/256	48	266	2	6	21%	6%	47	-2.6	229/281/254	26	274	0	4	16%	7%	51	-0.5
✕Rafael P Valera 2016 · A	21	48	34→30	47→55	48	219/292/277	58	295	1	10	24%	8%	65	-1.2	209/275/290	81	313	3	5	31%	7%	61	-1.5	185/257/275	90	289	2	1	33%	7%	49	-0.6
✕Roy Morales 2016 · A	21	44	36→30	44→45	47	204/269/273	69	231	4	5	14%	5%	56	-1.9	235/298/296	61	279	3	7	16%	7%	72	-0.7	271/334/327	56	322	3	8	16%	7%	89	+0.2
✕Abel Nieves 2007 · A	21	44	35→40	47→45	46	208/267/270	62	270	2	6	23%	7%	54	-2.0	229/295/306	77	317	4	5	26%	9%	72	-0.7	237/311/319	81	332	4	4	27%	10%	78	-0.1
✕Simon Vasquez 2009 · A	21	45	35→40	40→50	49	210/285/271	61	269	2	4	22%	8%	61	-1.5	227/286/308	81	283	4	7	20%	6%	70	-0.9	253/299/341	88	301	2	9	16%	5%	81	-0.0
✕Erlin Cerda 2014 · A	20	44	36→40	47→55	52	201/284/278	77	243	2	11	17%	8%	63	-1.3	210/279/283	73	274	1	14	22%	7%	62	-1.4	200/260/264	64	272	0	16	25%	6%	48	-0.7
✕Juan Mosquera 2009 · A	21	43	33→30	46→55	52	197/290/240	43	280	1	14	27%	10%	57	-1.8	202/267/260	58	263	3	9	22%	8%	51	-2.2	183/242/211	28	222	0	9	16%	7%	28	-1.0
✕Jhonny Bethencourt 2018 · A	21	47	35→30	48→50	49	216/283/283	67	274	2	11	21%	8%	63	-1.4	208/252/276	68	301	2	9	30%	5%	49	-2.4	203/243/263	60	294	1	10	30%	5%	41	-1.2
✕Yonathan Mendoza 2015 · A	21	47	35→30	46→45	49	220/283/279	59	274	2	8	20%	8%	61	-1.5	242/293/303	61	291	3	6	17%	6%	71	-0.8	252/302/305	52	300	3	5	16%	6%	72	-0.4
✕Melvin Jimenez 2017 · A	21	47	34→30	48→45	49	219/280/274	54	264	1	8	17%	7%	59	-1.7	220/280/275	55	266	2	8	17%	8%	59	-1.6	229/293/248	19	262	0	9	12%	8%	57	-0.5
✕David Hernandez 2007 · A	20	43	35→40	44→55	46	200/269/256	56	264	2	6	24%	7%	52	-2.2	224/284/297	73	278	4	11	19%	7%	66	-1.1	227/289/294	67	277	3	14	18%	7%	64	-0.5
✕Adrian Abreu 2012 · A	21	39	38→40	47→55	47	190/263/273	82	247	5	9	24%	8%	53	-2.1	212/292/300	88	256	8	17	19%	9%	71	-0.8	209/299/290	80	241	9	25	16%	10%	70	-0.3
✕Alberto Robles 2012 · A	21	52	34→30	49→55	52	241/312/291	50	278	1	15	13%	8%	76	-0.4	238/288/298	60	284	3	14	16%	5%	68	-1.0	237/274/295	58	280	3	17	16%	4%	59	-0.5
✕Jesus Alastre 2017 · A	20	48	35→30	44→50	42	225/281/286	61	280	2	9	20%	4%	63	-1.4	225/272/301	76	309	4	8	27%	4%	62	-1.4	250/283/334	84	348	4	9	28%	2%	69	-0.2
✕Robedluis Fuentes 2009 · A	20	47	35→30	46→45	47	220/282/271	51	272	3	8	19%	6%	59	-1.6	232/292/294	62	282	3	6	18%	6%	69	-0.9	247/308/299	52	292	2	6	15%	5%	76	-0.2

Career Stats + Projections

Career Comps

Career Path Comps