Sam Robertson — OGILVIE

Sam RobertsonSS St. Lucie Mets

Age 22 R/R 6'1" / 180 lbs A H -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION166 act + 16 ros · stats below = ROS only

showingROS

wRC+†57

AVG/OBP/SLG.143 / .250 / .143

PA16

HR0

K%31

BB%12

BABIP283

ISO75

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · ContractCON 25 / POW 33

Toolsscout grade

CONTACT25

scouting grade only

POWER33

scouting grade only

EYE67

scouting grade only

SPEED78

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
2026	MiLB	still in minors · estimated debut 2031
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	$0.5M	+$0.0M
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.4M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.6M	+$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)
2025	21	A	St. Lucie Mets	—	68	58	10	0	0	0	9	27	1	9	1	172	294	172	467		323	40	13	236	46	-4	+1	—	—	+1	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	St. Lucie Mets	—	68	60	7	0	0	0	7	36	1	9	1	117	221	117	337		304	53	10	175	5	-8	+1	—	—	+1	-0.5
2025	21	A MLE	St. Lucie Mets	—	68	60	7	0	0	0	7	36	1	9	1	117	221	117	337		292	53	10	175	5	—	—	—	—	—	—
2025	21	A RAW	St. Lucie Mets	—	68	58	10	0	0	0	9	27	1	9	1	172	294	172	467		323	40	13	236	5	—	—	—	—	—	—
2025	21	A MLE	St. Lucie Mets	—	68	60	7	0	0	0	7	36	1	9	1	117	221	117	337		304	53	10	175	5	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	St. Lucie Mets	—	68	60	7	0	0	0	7	36	1	9	1	117	221	117	337		304	53	10	175	5	—	—	—	—	—	—
YTD	22	A MLE	NYM	—	166	142	28	4	1	0	20	65	3	24	5	197	309	239	549	42	359	39	12	256	59	-8	+3	+0	+2	+4	0.0
▸ 2026 season
YTD	22	A RAW	NYM	—	166	135	34	5	1	0	27	46	3	24	5	252	388	304	692	52	378	28	16	328	59	—	—	—	—	—	—
ROS	22	A MLE	NYM	0%	16	14	2	0	0	0	2	5	0	1	0	143	250	143	393		290	31	12	253	57	-1	+0	+0	+0	+0	-0.0
TOT	22	A MLE	NYM	—	182	156	30	4	1	0	22	70	3	25	5	192	304	231	535	38	345	38	12	256	59	-9	+3	+0	+2	+4	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	NYM	34%	222	194	37	6	1	2	23	71	3	10	2	191	286	263	549	72	291	32	10	263	64	-9	+1	+0	+2	+5	-0.1
2028	24	MLB MLE	NYM	46%	324	284	58	10	2	4	33	101	4	15	3	204	296	296	592	92	292	31	10	270	69	-12	+2	+0	+3	+7	0.0
2029	25	MLB MLE	NYM	52%	382	335	69	12	2	6	39	117	5	17	3	206	298	307	606	101	292	31	10	275	72	-13	+2	+0	+4	+8	0.2
2030	26	MLB MLE	NYM	54%	419	369	76	13	2	7	42	128	5	19	3	206	296	309	605	103	292	31	10	277	74	-13	+3	+0	+4	+9	0.3
2031	27	MLB MLE	NYM	54%	436	382	78	13	2	7	45	133	6	20	4	204	298	304	602	99	292	31	10	277	74	-14	+2	+0	+5	+9	0.3
2032	28	MLB MLE	NYM	54%	442	388	79	13	2	7	45	136	6	19	3	204	296	302	598	98	291	31	10	276	73	-14	+3	-1	+5	+10	0.2
2033	29	MLB MLE	NYM	53%	439	385	78	13	2	7	45	136	6	17	3	203	296	301	597	99	291	31	10	274	72	-15	+2	-1	+5	+10	0.0
2034	30	MLB MLE	NYM	52%	433	380	76	13	2	6	45	135	5	15	3	200	293	292	585	92	290	31	10	272	70	-15	+2	-2	+5	+9	-0.2
2027	23	MLB CTX	NYM	34%	76	67	12	2	0	1	8	24	1	3	1	179	276	254	530	75	283	32	11	250	64	-3	+0	+0	+1	+2	-0.1
2028	24	MLB CTX	NYM	46%	149	131	26	4	1	2	15	47	2	7	1	198	291	290	581	92	284	32	10	257	69	-5	+1	+0	+2	+3	0.0
2029	25	MLB CTX	NYM	52%	197	173	35	6	1	3	20	61	2	9	2	202	292	301	593	98	284	31	10	261	72	-7	+1	+0	+2	+4	0.1
2030	26	MLB CTX	NYM	54%	227	199	41	7	1	4	23	69	3	10	2	206	298	312	609	106	284	30	10	263	74	-7	+1	+0	+2	+5	0.1
2031	27	MLB CTX	NYM	54%	237	208	42	7	1	4	24	73	3	11	2	202	294	303	597	101	284	31	10	263	74	-7	+1	+0	+3	+5	0.2
2032	28	MLB CTX	NYM	54%	240	210	42	7	1	4	25	74	3	10	2	200	294	300	594	100	284	31	10	263	73	-8	+1	-0	+3	+5	0.1
2033	29	MLB CTX	NYM	53%	233	204	40	7	1	3	24	72	3	9	2	196	290	284	574	88	283	31	10	261	72	-8	+1	-1	+2	+5	0.0
2034	30	MLB CTX	NYM	52%	227	198	39	7	1	3	24	71	3	8	1	197	293	288	581	91	282	31	11	258	70	-8	+1	-1	+2	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1586	1390	277	47	7	24	163	491	20	67	13	199	292	295	587	96	287	31	10	261	70	-53	+8	-2	+17	+34	0.4
/ 162G	—	A+C		—	650	570	114	19	3	10	67	201	8	27	5	200	293	296	590	96	287	31	10	261	70	-22	+3	-1	+7	+14	0.2
Career	—	MLE		—	3181	2791	560	93	15	46	326	998	41	142	25	201	294	294	588	94	292	31	10	272	70	-106	+17	-4	+33	+67	0.8
/ 162G	—	MLE		—	650	570	114	19	3	9	67	204	8	29	5	200	293	291	584	91	292	31	10	272	70	-22	+4	-1	+7	+14	0.2

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
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#3Adam 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
#4Tony Gwynn Jr.last yr '14 career totals — 7 seasons, 1,749 PA	2.6	1,749	7	77	239	310	313	+1	+35	4.1	4.1
/162	664	3	29	+0.5	+13.1	1.6	pk7: 4
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.5	1,690	24	71	203	292	298	+18	+15	1.5	1.5
/162	664	10	28	+7.1	+5.9	0.6	pk7: 2
#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
Sam Robertson (OGILVIE)	22	20→25	28→33	73→78	67	186/281/253	67	290	1	7	33%	10%	57	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tyler James 2018 · A	21	44	36→30	64→65	42	204/266/281	77	293	2	27	29%	7%	56	-1.9	220/283/294	74	332	4	27	32%	7%	65	-1.2	230/297/289	60	352	4	45	33%	8%	65	-0.5
✕Roberto Caro 2016 · A	22	44→41	38→40	61→60	48	208/284/299	91	280	3	20	25%	8%	67	-1.1	208/276/283	75	319	2	18	32%	8%	60	-1.6	215/287/293	78	329	2	26	32%	8%	65	-0.6
✕Wes Rogers 2016 · A	22	47→51	39→40	65	43	224/282/312	88	295	6	35	25%	6%	69	-0.9	222/277/311	89	296	6	34	25%	6%	67	-1.1	216/271/303	86	289	6	36	26%	6%	60	-1.3
✕Max Ferguson 2023 · A	23	37→34	39→40	63→60	52	176/280/265	89	267	6	32	33%	12%	60	-1.6	181/266/271	90	273	8	28	33%	10%	55	-2.0	178/257/269	91	255	10	28	32%	9%	48	-1.6
✕Tyler Tolbert 2022 · A	24	39→49	39→45	67→65	43	181/268/271	90	295	6	37	37%	9%	56	-1.9	205/264/301	96	296	6	38	31%	6%	60	-1.6	227/289/306	79	310	6	60	27%	6%	68	-0.5
✕Jorge Mateo 2017 · A	22	43→48	40→50	61→65	39	209/253/306	96	291	6	34	30%	5%	56	-1.9	200/241/317	117	293	8	28	33%	5%	55	-2.0	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Pedro Toribio 2012 · A	22	48	40	65→60	45	228/274/334	105	272	6	27	18%	6%	70	-0.8	246/275/326	80	306	3	23	20%	4%	68	-1.0	271/291/330	59	338	0	29	19%	2%	70	-0.3
✕Jose Curpa 2022 · A	22	40	36→30	58→55	46	185/273/254	70	286	2	24	33%	10%	54	-2.0	204/289/287	83	310	5	17	32%	9%	68	-1.0	191/292/252	60	291	4	23	31%	10%	59	-0.4
✕Terrance Gore 2013 · A	22	48→42	33→30	61→70	46	217/295/263	46	306	1	27	27%	8%	63	-1.3	210/277/245	35	300	1	42	28%	7%	53	-2.1	193/256/240	47	276	1	52	28%	6%	40	-1.0
✕Clay Fuller 2009 · A	22	45	42→45	59→55	44	212/292/327	115	313	8	20	32%	8%	77	-0.3	208/277/318	110	293	11	18	31%	7%	70	-0.9	202/268/308	105	278	12	18	30%	7%	61	-1.1
✕Johan Rojas 2023 · AA	22	43→53	41→45	63→65	42	213/260/314	102	267	8	35	24%	5%	61	-1.5	243/285/345	102	306	7	37	22%	5%	78	-0.3	254/296/351	97	318	7	41	21%	5%	80	-0.1
✕Carlos Willoughby 2011 · A	22	50→44	36→40	62→60	49	232/308/311	79	296	2	28	21%	8%	78	-0.3	208/277/274	66	271	2	17	22%	8%	59	-1.7	199/272/257	58	258	1	17	21%	8%	50	-1.6
✕Yhoswar Garcia 2023 · A	21	42	38→30	62→70	39	195/262/277	82	303	5	38	35%	7%	54	-2.0	205/256/272	67	280	3	38	26%	5%	50	-2.3	202/248/254	52	267	2	51	24%	5%	40	-1.4
✕Ismael Alcantara 2021 · A	22	44→29	38→45	57→50	41	201/270/281	80	317	5	16	36%	8%	58	-1.7	210/268/333	123	318	12	13	36%	6%	69	-0.9	199/258/307	108	299	12	16	35%	6%	56	-1.0
✕Cooper Bowman 2023 · A	23	38→43	43→45	59→60	43	188/270/295	107	285	11	31	36%	8%	62	-1.4	205/277/320	115	284	11	35	30%	8%	70	-0.9	202/274/318	116	272	11	40	28%	8%	66	-0.7
✕Tyler Goeddel 2014 · A	21	43→51	40→45	59→55	40	207/258/309	101	292	7	20	30%	6%	59	-1.7	225/281/337	112	302	8	18	27%	6%	74	-0.5	227/288/340	113	297	9	18	25%	7%	75	-0.3
✕Raul Linares 2013 · A	22	40	36→45	59→55	42	187/248/257	70	259	2	22	27%	6%	44	-2.8	210/259/304	94	279	6	10	25%	6%	58	-1.7	217/260/323	106	275	7	7	23%	5%	60	-0.5
✕Jayce Easley 2023 · A	23	44→46	38→30	62→65	54	208/306/284	77	287	5	39	27%	12%	73	-0.6	185/278/244	59	284	3	27	32%	10%	53	-2.1	156/258/188	33	250	1	30	34%	11%	33	-1.6
✕John Rhodes 2023 · AA	22	43→35	41→45	58→50	48	207/287/310	103	275	7	16	26%	8%	72	-0.7	186/253/287	101	260	10	9	31%	7%	53	-2.1	169/236/259	90	237	10	7	31%	7%	38	-2.3
✕Johan Mieses 2015 · A	20	43→33	42→55	60→50	42	208/261/317	109	274	8	22	26%	6%	62	-1.4	194/241/346	152	272	18	8	35%	5%	63	-1.4	191/265/355	164	235	23	7	30%	7%	72	-0.4

Career Stats + Projections

Career Comps

Career Path Comps