Sherman Johnson — OGILVIE

Sherman JohnsonSS Daytona Tortugas

Age 22 R/R A HR +16%BB +6% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 74 proj PA

wRC+†69

AVG/OBP/SLG.216 / .275 / .318

PA74

HR1

K%28

BB%7

ISO103

MLB%0%

Value2026 · WAR

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

Tools · Contract

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
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	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$3M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	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. 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)
2026	21	A	Daytona Tortugas	—	57	50	15	3	0	1	6	11	0	2	0	300	375	420	795	120	359	19	11	352	83	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A MLE	Daytona Tortugas	—	57	52	13	2	0	1	4	15	0	2	0	250	304	346	650	96	326	26	7	291	83	—	—	—	—	—	—
2026	21	A MLE	Daytona Tortugas	—	57	52	13	2	0	1	4	15	0	2	0	250	304	346	650	96	324	26	7	291	83	—	—	—	—	—	—
2026	21	A RAW	Daytona Tortugas	—	57	50	15	3	0	1	6	11	0	2	0	300	375	420	795	120	359	19	11	352	83	—	—	—	—	—	—
2026	21	A MLE	Daytona Tortugas	—	57	53	13	2	0	1	4	15	0	2	0	245	304	340	643	94	326	26	7	291	83	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	Daytona Tortugas	—	57	53	13	2	0	1	4	15	0	2	0	245	304	340	643	94	326	26	7	291	83	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	CIN	0%	167	152	34	6	1	3	12	46	1	3	1	218	278	321	598	103	291	28	7	270	69	-6	+0	+0	+2	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	CIN	34%	168	153	34	6	1	3	12	46	1	3	1	221	281	328	609	107	292	27	7	274	72	-6	+0	+0	+2	+4	-0.0
2029	24	MLB MLE	CIN	46%	283	259	57	10	1	5	20	77	2	5	1	223	284	334	618	111	293	27	7	278	74	-9	+1	+0	+3	+6	0.1
2030	25	MLB MLE	CIN	52%	354	323	73	13	2	7	26	95	2	6	1	224	286	339	625	115	293	27	7	281	76	-10	+1	+0	+4	+8	0.2
2031	26	MLB MLE	CIN	54%	401	366	83	15	2	8	29	107	3	7	2	226	288	343	631	117	292	27	7	283	78	-11	+1	+0	+4	+9	0.3
2032	27	MLB MLE	CIN	54%	423	386	88	16	2	9	31	112	3	7	2	226	288	344	632	118	292	26	7	284	78	-11	+1	+0	+5	+9	0.3
2033	28	MLB MLE	CIN	54%	434	396	89	16	2	9	32	116	3	6	1	224	287	339	626	115	291	27	7	281	77	-12	+1	-1	+5	+9	0.2
2034	29	MLB MLE	CIN	53%	433	395	88	16	2	8	32	117	3	4	1	222	284	334	617	112	290	27	7	278	74	-13	+0	-1	+5	+9	-0.0
2035	30	MLB MLE	CIN	52%	429	393	86	15	2	8	31	117	2	2	1	219	280	326	607	107	288	27	7	273	71	-15	+0	-2	+5	+9	-0.3
2028	23	MLB CTX	CIN	34%	58	54	11	2	0	1	4	16	0	1	0	223	283	334	616	111	293	28	7	277	72	-2	+0	+0	+1	+1	0.0
2029	24	MLB CTX	CIN	46%	131	120	28	5	1	3	9	35	1	2	1	225	286	341	626	116	294	27	7	281	74	-4	+0	+0	+1	+3	0.0
2030	25	MLB CTX	CIN	52%	183	167	39	7	1	4	13	49	1	3	1	226	288	346	634	119	294	27	7	284	76	-5	+0	+0	+2	+4	0.1
2031	26	MLB CTX	CIN	54%	217	198	45	8	1	5	16	58	1	4	1	227	290	350	639	122	293	27	7	287	78	-6	+0	+0	+2	+5	0.2
2032	27	MLB CTX	CIN	54%	229	208	47	8	1	5	17	61	2	4	1	228	290	351	641	123	293	27	7	287	78	-6	+0	+0	+2	+5	0.2
2033	28	MLB CTX	CIN	54%	235	215	48	8	1	5	17	63	1	3	1	226	288	346	634	120	292	27	7	285	77	-7	+0	-0	+3	+5	0.1
2034	29	MLB CTX	CIN	53%	230	210	47	8	1	5	17	62	1	2	1	223	286	340	625	116	291	27	7	281	74	-7	+0	-1	+2	+5	-0.0
2035	30	MLB CTX	CIN	52%	225	206	45	8	1	4	16	61	1	1	0	221	282	332	614	112	289	27	7	276	71	-8	+0	-1	+2	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1508	1378	310	54	7	32	109	405	8	20	6	225	286	344	630	119	293	27	7	283	75	-44	+2	-2	+16	+33	0.4
/ 162G	—	A+C		—	650	594	134	23	3	14	47	175	3	9	3	226	286	345	631	120	294	27	7	283	75	-19	+1	-1	+7	+14	0.2
Career	—	MLE		—	3056	2792	626	112	14	59	222	823	19	43	10	224	286	338	624	114	295	27	7	280	75	-89	+4	-4	+32	+65	0.9
/ 162G	—	MLE		—	650	594	134	24	3	13	47	175	4	9	2	226	287	342	629	116	296	27	7	280	75	-19	+1	-1	+7	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ronny 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
#2Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#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
#4Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	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	2.4	1,582	31	22	224	283	338	+17	+15	1.6	1.5
/162	664	13	9	+7.1	+6.3	0.7	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
Sherman Johnson (OGILVIE)	22	—	—	—	—	216/275/318	102	291	1	1	28%	7%	69	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tyler Kolodny 2010 · A	22	41→37	44→45	49→50	41	202/273/319	117	276	11	8	30%	6%	69	-0.9	208/282/339	131	278	13	10	29%	6%	77	-0.3	207/286/352	145	264	16	10	27%	6%	79	-0.1
✕Jack Brannigan 2023 · A	22	42	43→50	48→50	43	204/277/310	106	298	11	13	33%	8%	68	-1.0	202/279/357	155	294	19	17	36%	8%	80	-0.2	186/267/343	157	262	20	18	36%	8%	70	-0.5
✕Francisco Acuna 2022 · A	22	38→47	39→45	48→50	45	184/277/270	87	267	6	10	31%	8%	60	-1.6	204/274/301	97	277	7	11	27%	6%	65	-1.2	213/284/310	97	279	9	16	25%	7%	68	-0.5
✕Max George 2018 · A	22	39	42→45	50→55	45	195/270/303	109	255	9	15	27%	7%	64	-1.3	188/271/296	108	261	10	20	30%	7%	63	-1.4	145/250/272	127	214	15	25	38%	9%	49	-1.2
✕Adam Abraham 2009 · A	22	38→45	44→45	49→40	43	196/257/308	112	257	12	5	28%	7%	60	-1.6	216/271/329	113	275	10	4	24%	6%	70	-0.9	223/283/338	116	279	11	2	23%	7%	74	-0.3
✕Chris Roller 2019 · A	22	39	41→45	51→55	42	190/265/292	102	283	8	14	34%	8%	59	-1.6	204/267/311	107	290	7	12	30%	6%	63	-1.3	179/266/281	102	259	10	19	32%	8%	57	-1.0
✕Danny Mendick 2016 · A	22	41→47	42→45	50	45	204/261/304	99	246	10	9	21%	6%	60	-1.6	207/263/297	90	260	7	9	22%	6%	59	-1.7	237/296/342	105	299	11	4	23%	7%	81	-0.0
✕Jorge Alcantara 2013 · A	21	42	41→45	50	42	200/270/298	98	297	8	11	33%	8%	62	-1.4	192/261/284	92	292	6	14	34%	8%	55	-1.9	143/221/238	95	216	5	25	34%	8%	30	-1.0
✕Glenn Santiago 2023 · A	22	42	41→40	46→45	40	203/258/299	95	286	8	8	31%	6%	57	-1.8	200/263/285	85	289	7	9	31%	7%	56	-1.9	185/254/258	73	266	7	8	31%	7%	46	-1.1
✕Blake Hunt 2021 · A	22	42	40→50	49→40	44	206/262/301	95	270	7	6	26%	6%	59	-1.6	193/252/308	115	279	11	4	33%	6%	58	-1.7	215/280/358	143	272	16	1	27%	7%	77	-0.1
✕Jhostynxon Garcia 2024 · A	21	38→44	41→50	52→50	43	182/258/286	104	279	7	9	35%	8%	55	-1.9	220/276/370	150	298	17	10	31%	6%	81	-0.1	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Steven Baron 2013 · A	22	39	41→45	50	37	194/232/294	100	263	8	10	29%	4%	46	-2.6	197/236/287	90	278	6	9	30%	5%	45	-2.7	236/292/311	74	314	4	8	24%	7%	69	-0.4
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/293/300	81	280	8	4	23%	7%	72	-0.7	211/298/265	54	265	5	1	21%	8%	64	-0.3
✕Jack Payton 2024 · A	22	45	40→45	51→45	38	216/272/307	91	306	8	9	31%	5%	65	-1.2	213/291/319	106	300	9	6	30%	8%	75	-0.5	211/289/318	107	294	9	6	29%	8%	73	-0.3
✕Jose Rosario 2014 · A	22	41	44→40	51→50	42	207/260/321	114	253	11	12	23%	5%	63	-1.3	235/273/320	85	293	5	9	21%	4%	67	-1.1	246/276/325	79	308	4	9	21%	3%	65	-0.7
✕Elio Prado 2024 · A	22	40→37	42→40	46→50	45	199/275/302	103	259	10	9	26%	7%	65	-1.2	190/255/279	89	267	8	14	30%	7%	52	-2.2	168/233/235	68	243	6	17	32%	7%	32	-1.7
✕Corey Joyce 2021 · A	22	45	40	50	39	212/268/307	95	312	8	8	33%	6%	63	-1.4	203/292/311	108	294	11	12	32%	9%	74	-0.5	214/316/317	103	300	9	14	28%	10%	82	+0.0
✕Ronarsy Ledesma 2015 · A	22	44	41→45	47→50	41	212/262/314	102	269	7	9	24%	5%	62	-1.4	199/246/283	84	329	7	7	39%	5%	49	-2.4	179/223/234	55	313	7	10	43%	4%	26	-1.3
✕Zach Green 2016 · A	22	43→44	40→55	49→40	39	212/253/306	95	286	8	6	28%	5%	56	-1.9	206/261/339	133	322	14	3	39%	5%	68	-1.0	199/267/383	183	305	23	1	40%	7%	79	-0.1
✕Kyler Fedko 2023 · A	23	43→42	42→50	51→55	47	212/283/319	108	277	9	10	26%	8%	72	-0.7	203/287/319	116	263	12	14	26%	10%	74	-0.6	195/275/339	144	243	18	22	27%	9%	72	-0.5

Career Stats + Projections

Career Comps

Career Path Comps