Steele Hall — OGILVIE

Steele HallSS ACL Reds

Age 20 R/R ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTION0 act + 0 ros · stats below = full-season projection

showingPROJ

wRC+†73

AVG/OBP/SLG.208 / .286 / .334

PA32

HR1

K%31

BB%9

BABIP286

ISO138

MLB%10%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$54M ctrl surplus

Tools · ContractCON 47 / POW 47

Toolsscout grade

CONTACT47

scouting grade only

POWER47

scouting grade only

EYE50

scouting grade only

SPEED70

scouting grade only

DEFENSE60

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
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	+1.3	$7M	+$7M
2033	Pre-Arb	$0.9M	+1.3	$7M	+$6M
2034	Pre-Arb	$1.0M	+1.3	$6M	+$6M
2035	Arb-1	$4M	+1.1	$5M	+$3M
2036	Arb-2	$6M	+0.9	$2M	+$0.0M (cut)
2037	Arb-3	$7M	+0.7	$1M	+$0.0M (cut)
Totals		$7M		$28M	+$21M

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	19	A	Daytona Tortugas	—	121	95	18	6	0	1	24	39	1	7	1	189	358	284	643	95	304	32	20	308	43	—	—	—	—	—	—
2026	19	ROK	ACL Reds	—	270	226	65	18	2	10	35	65	4	24	6	288	392	518	910	230	355	24	13	393	71	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	19	A MLE	Daytona Tortugas	—	121	102	15	5	0	1	17	53	1	7	1	147	275	225	500	78	277	44	14	232	43	—	—	—	—	—	—
2026	19	ROK MLE	ACL Reds	—	270	239	47	12	1	7	22	94	4	24	6	197	275	343	619	146	270	35	8	273	71	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	391	341	62	17	1	8	39	147	5	31	7	182	275	308	583	126	283	38	10	260	62	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	391	321	83	24	2	11	59	104	5	31	7	259	382	449	830	190	341	27	15	367	62	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	391	344	62	17	1	8	39	147	5	31	7	180	275	305	581	125	272	38	10	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	19	ROK MLE	2 teams	—	391	344	62	17	1	8	39	147	5	31	7	180	275	305	581	125	272	38	10	260	62	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	CIN	10%	501	447	92	18	3	10	44	152	5	12	3	207	284	327	611	120	285	30	9	277	73	-16	+1	-0	+5	+11	0.3
▸ 2027 — real world (MLB)
2027	20	MLB CTX	CIN	10%	32	29	6	1	0	1	3	10	0	1	0	208	286	334	620	125	286	31	9	280	73	-1	+0	-0	+0	+1	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	CIN	53%	454	406	86	17	3	10	40	135	5	13	3	211	290	340	630	129	286	30	9	284	79	-12	+1	-0	+5	+10	0.4
2029	22	MLB MLE	CIN	68%	490	438	94	18	3	12	44	143	5	14	3	215	294	350	644	135	287	29	9	290	82	-10	+2	+0	+5	+11	0.8
2030	23	MLB MLE	CIN	73%	529	472	103	20	3	13	47	152	5	16	4	218	297	358	655	139	289	29	9	294	85	-9	+2	+2	+6	+11	1.1
2031	24	MLB MLE	CIN	73%	571	509	113	22	3	15	51	161	6	17	4	221	299	363	663	142	290	28	9	297	87	-9	+2	+3	+6	+12	1.5
2032	25	MLB MLE	CIN	73%	607	542	120	23	3	16	54	169	6	18	4	223	301	367	667	144	290	28	9	299	89	-8	+2	+5	+7	+13	1.8
2033	26	MLB MLE	CIN	73%	614	548	122	24	3	16	55	171	6	18	4	222	301	366	667	144	289	28	9	299	89	-8	+2	+5	+7	+13	1.8
2034	27	MLB MLE	CIN	72%	614	548	120	23	3	16	55	172	6	18	4	221	300	364	664	143	289	28	9	298	88	-9	+2	+5	+7	+13	1.8
2035	28	MLB MLE	CIN	71%	609	543	119	23	3	15	55	172	6	17	4	220	298	359	657	140	288	28	9	295	86	-10	+2	+4	+7	+13	1.5
2036	29	MLB MLE	CIN	69%	599	535	117	23	3	15	53	171	6	16	4	217	295	354	649	136	287	29	9	292	84	-12	+2	+3	+6	+13	1.3
2037	30	MLB MLE	CIN	74%	589	527	113	22	3	14	52	170	5	15	4	215	292	346	638	132	285	29	9	287	81	-14	+1	+2	+6	+13	0.9
2038	31	MLB MLE	CIN	77%	575	515	109	21	3	13	50	168	5	13	4	211	287	337	624	126	282	29	9	282	77	-16	+1	+1	+6	+12	0.5
2039	32	MLB MLE	CIN	79%	556	498	103	20	2	12	48	165	5	11	5	206	281	325	606	119	279	30	9	274	72	-19	+0	+1	+6	+12	0.0
2028	21	MLB CTX	CIN	53%	241	216	46	9	1	6	21	72	2	7	2	213	292	347	639	134	287	30	9	288	79	-6	+1	-0	+3	+5	0.2
2029	22	MLB CTX	CIN	68%	332	296	65	12	2	9	30	97	3	10	2	217	296	358	654	141	289	29	9	294	82	-7	+1	+0	+4	+7	0.5
2030	23	MLB CTX	CIN	73%	385	344	75	14	2	10	34	110	4	11	3	221	299	366	665	145	290	29	9	298	85	-7	+1	+1	+4	+8	0.8
2031	24	MLB CTX	CIN	73%	417	373	83	16	2	12	37	118	4	12	3	223	302	372	673	149	291	28	9	301	87	-6	+1	+2	+4	+9	1.1
2032	25	MLB CTX	CIN	73%	444	396	90	17	3	13	40	124	5	13	3	225	303	376	679	151	291	28	9	303	89	-6	+1	+3	+5	+10	1.3
2033	26	MLB CTX	CIN	73%	450	402	91	17	3	13	40	126	5	13	3	225	303	375	678	151	291	28	9	303	89	-6	+1	+3	+5	+10	1.3
2034	27	MLB CTX	CIN	72%	441	394	88	17	2	12	40	124	4	13	3	224	302	373	675	149	290	28	9	302	88	-6	+1	+3	+5	+10	1.3
2035	28	MLB CTX	CIN	71%	433	387	85	16	2	12	39	122	4	12	3	222	300	368	668	146	289	28	9	299	86	-7	+1	+3	+5	+9	1.1
2036	29	MLB CTX	CIN	69%	415	371	81	15	2	11	37	119	4	11	3	220	297	362	659	142	288	29	9	296	84	-8	+1	+2	+4	+9	0.9
2037	30	MLB CTX	CIN	74%	435	390	84	16	2	11	38	126	4	11	3	217	294	354	648	137	286	29	9	291	81	-10	+1	+2	+5	+9	0.7
2038	31	MLB CTX	CIN	77%	442	396	85	16	2	11	39	129	4	10	3	213	289	344	633	132	283	29	9	285	77	-12	+1	+1	+5	+10	0.4
2039	32	MLB CTX	CIN	79%	438	393	82	15	2	10	38	130	4	9	4	208	283	332	615	124	280	30	9	278	72	-15	+0	+1	+5	+9	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4873	4358	955	180	25	130	433	1397	47	132	35	219	297	361	658	142	289	29	9	295	82	-97	+12	+22	+52	+106	9.7
/ 162G	—	A+C		—	650	581	127	24	3	17	58	186	6	18	5	219	296	358	654	139	289	29	9	295	82	-13	+2	+3	+7	+14	1.3
Career	—	MLE		—	7518	6708	1440	285	38	181	671	2193	74	225	56	215	293	349	643	135	288	29	9	289	82	-146	+19	+30	+76	+154	13.7
/ 162G	—	MLE		—	650	580	125	25	3	16	58	190	6	19	5	216	293	352	645	136	288	29	9	289	82	-13	+2	+3	+7	+14	1.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brandon Ingelast yr '13 career totals — 13 seasons, 5,617 PA	8.5	5,617	152	45	233	301	384	+26	+73	19.8	20.5
/162	664	18	5	+3.1	+8.6	2.3	pk7: 21
#2Freddy Galvislast yr '21 career totals — 10 seasons, 4,238 PA	6.4	4,238	109	57	246	292	387	+42	+68	18.0	17.6
/162	664	17	9	+6.6	+10.6	2.8	pk7: 17
#3Paul DeJonglast yr '25 career totals — 9 seasons, 3,500 PA	5.3	3,500	146	29	229	294	416	+36	+35	16.1	16.0
/162	664	28	6	+6.8	+6.6	3.1	pk7: 16
#4Michael A. Taylorlast yr '25 career totals — 11 seasons, 3,758 PA	5.7	3,758	108	128	232	288	380	+12	+64	13.3	12.9
/162	664	19	23	+2.1	+11.2	2.3	pk7: 13
#5Bobby 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
#6Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	7.4	4,905	120	133	218	292	354	+53	+36	10.1	9.0
/162	664	16	18	+7.1	+4.9	1.4	pk7: 8

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
Steele Hall (OGILVIE)	20	20→47	30→47	70	50	205/282/324	119	285	6	8	30%	9%	73	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jett Williams 2024 · AA	20	44→48	45→50	60→55	54	209/324/338	129	296	11	25	30%	12%	93	+0.8	216/310/345	129	299	10	23	28%	11%	88	+0.4	214/300/348	134	288	11	26	27%	10%	82	+0.0
✕Masyn Winn 2022 · A	20	43→53	40→50	57→55	43	207/267/301	93	294	6	22	30%	7%	61	-1.5	237/294/369	132	297	12	21	23%	7%	86	+0.3	245/302/388	143	293	14	19	20%	7%	93	+0.8
✕Ceddanne Rafaela 2022 · A	21	43→53	46→55	59→55	39	215/259/351	136	270	13	15	26%	4%	70	-0.9	243/280/401	158	309	17	22	26%	4%	89	+0.5	250/287/402	152	300	17	19	22%	4%	93	+0.8
✕Cayden Wallace 2023 · A	21	46→49	42→50	57→50	43	224/279/341	116	300	8	15	27%	6%	74	-0.5	220/277/337	117	289	10	12	26%	6%	73	-0.6	232/281/372	140	285	16	15	24%	5%	80	-0.1
✕Hoy Park 2017 · A	21	41→51	39→45	59→55	46	195/272/287	91	280	4	17	30%	9%	60	-1.6	220/296/307	87	294	6	17	25%	9%	74	-0.6	234/324/332	98	306	8	17	24%	11%	88	+0.3
✕Tyler Goeddel 2014 · A	21	44→52	41→45	59→55	40	211/262/313	103	297	7	20	30%	6%	61	-1.5	227/284/341	114	305	9	18	27%	7%	76	-0.4	229/290/345	116	300	9	18	25%	7%	78	-0.2
✕Luisangel Acuña 2022 · A	20	46→56	43→45	55→60	44	224/285/329	105	303	11	25	29%	7%	74	-0.5	247/299/356	109	328	10	34	26%	7%	85	+0.2	257/304/361	104	328	9	39	23%	6%	84	+0.2
✕Kyren Paris 2022 · A	20	48→49	43→45	60	42	210/293/328	118	366	9	24	41%	9%	78	-0.3	204/293/331	127	327	12	29	37%	10%	79	-0.2	189/282/319	130	294	14	35	37%	10%	71	-0.5
✕Carlos Jimenez 2023 · A	20	35→44	42→50	53→55	51	176/278/284	108	252	10	16	32%	11%	63	-1.3	209/288/321	112	322	10	16	35%	9%	74	-0.5	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Adrian Pinto 2023 · A	20	47	40→45	60→65	53	222/313/322	100	267	5	29	18%	9%	84	+0.1	234/309/354	120	293	11	18	23%	8%	90	+0.6	231/312/342	111	292	7	11	21%	9%	84	+0.0
✕Evan Van Hoosier 2015 · A	21	47	44→50	56→50	44	229/282/358	129	287	10	10	23%	6%	80	-0.2	230/274/338	108	308	6	9	26%	5%	72	-0.7	232/275/343	110	324	5	10	28%	4%	70	-0.3
✕Ricky Cabrera 2024 · A	19	48→44	40→45	57→60	43	224/310/324	99	311	7	18	28%	7%	84	+0.1	216/282/315	99	309	8	12	31%	6%	71	-0.8	213/277/319	106	299	10	14	30%	5%	67	-0.8
✕Carlos Jorge 2024 · A	20	45→55	46→45	60	45	219/294/354	135	303	12	25	30%	8%	84	+0.1	215/278/322	107	304	10	27	30%	7%	70	-0.8	221/282/318	97	305	9	33	29%	7%	67	-0.8
✕Victor Arias 2024 · A	20	41→50	40→45	55→50	48	193/289/289	97	300	7	16	35%	11%	68	-1.0	227/296/340	113	318	9	15	29%	8%	81	-0.1	226/289/343	117	310	10	15	29%	7%	76	-0.3
✕Johan Rojas 2022 · A	21	45→55	44→45	55→65	43	223/276/341	119	284	11	22	25%	6%	74	-0.6	237/281/346	109	298	8	37	22%	5%	76	-0.4	260/302/359	100	326	7	41	21%	5%	85	+0.2
✕Charlie Culberson 2008 · A	19	45→54	38→45	60→50	41	212/274/296	84	304	4	18	30%	6%	63	-1.4	218/263/298	80	292	5	11	26%	5%	58	-1.7	253/299/420	167	321	18	9	26%	5%	101	+0.6
✕Dalton Pompey 2013 · A	20	41→51	40→45	55	44	198/266/291	93	280	8	16	30%	8%	59	-1.7	243/305/349	106	326	7	24	25%	8%	86	+0.3	269/328/372	103	341	7	29	22%	7%	97	+0.9
✕Derek Hill 2015 · A	19	41→51	40→55	55→60	47	200/270/292	91	260	7	13	25%	8%	60	-1.6	205/256/277	72	300	3	25	30%	6%	51	-2.3	240/291/409	169	325	21	27	32%	5%	95	+0.4
✕Jorge Vega-Rosado 2012 · A	20	46	41→45	55	41	224/274/324	100	303	8	19	28%	6%	69	-0.9	204/260/285	81	308	6	14	33%	6%	55	-2.0	172/231/229	57	271	4	15	36%	6%	30	-1.4
✕Wes Rogers 2015 · A	21	45→51	41→40	57→65	42	217/270/314	97	294	8	18	28%	6%	65	-1.2	225/283/314	89	299	5	34	25%	7%	70	-0.9	229/287/320	92	301	5	42	24%	7%	70	-0.7

Career Stats + Projections

Career Comps

Career Path Comps