Ben Hartl — OGILVIE

Ben HartlC Winston-Salem Dash

Age 23 R/R 5'10" / 210 lbs A+ HR +4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION191 act + 28 ros · stats below = ROS only

showingROS

wRC+†62

AVG/OBP/SLG.167 / .286 / .208

PA28

HR0

K%29

BB%7

BABIP265

ISO42

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 30 / POW 20

Toolsscout grade

CONTACT30

scouting grade only

POWER20

scouting grade only

EYE35

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	+0.4	$1M	+$0.6M
2031	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2034	Arb-2	$0.7M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$3M	+$0.9M

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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2024	21	A	Down East Wood Ducks	—	52	37	12	1	0	1	9	14	4	1	0	324	500	432	932	108	458	27	17	416	168	+4	+0	—	—	+1	0.6
2025	22	A+	Hub City Spartanburgers	—	73	56	21	3	0	0	9	17	8	1	1	375	521	429	949	54	538	23	12	442	186	+7	-0	—	—	+2	0.9
2025	22	A	Hickory Crawdads	—	264	213	45	8	1	1	24	59	24	5	2	211	356	272	629	61	282	22	9	303	91	-3	+0	—	—	+6	0.3
2025	22	INTL	Surprise Saguaros	—	31	24	3	2	0	0	2	10	4	0	0	125	300	208	508	83	200	32	6	252	57	-2	+0	—	—	+1	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Down East Wood Ducks	—	52	40	12	1	0	1	6	19	4	1	0	300	440	400	840	100	436	37	12	359	129	+2	+0	—	—	+1	0.3
2025	22	A+ MLE	Hub City Spartanburgers	—	73	59	19	3	0	0	6	22	8	1	1	322	452	373	825	51	486	30	8	356	127	+2	-0	—	—	+2	0.4
2025	22	A MLE	Hickory Crawdads	—	264	223	37	5	1	1	14	85	24	5	2	166	287	211	498	45	249	32	5	233	44	-18	+0	—	—	+6	-1.2
2024	21	A MLE	Down East Wood Ducks	—	52	40	12	1	0	1	6	19	4	1	0	300	440	400	840	100	500	37	12	359	129	—	—	—	—	—	—
2024	21	A RAW	Down East Wood Ducks	—	52	37	12	1	0	1	9	14	4	1	0	324	500	432	932	108	458	27	17	416	129	—	—	—	—	—	—
2025	22	A MLE	3 teams	—	368	306	62	9	1	1	22	117	36	6	3	203	330	248	578	46	318	32	6	260	62	—	—	—	—	—	—
2025	22	A RAW	3 teams	—	368	293	69	13	1	1	35	86	36	6	3	235	385	297	682	61	324	23	10	326	62	—	—	—	—	—	—
2024	21	A MLE	Down East Wood Ducks	—	52	42	12	1	0	1	6	19	4	1	0	286	440	381	821	95	436	37	12	359	129	—	—	—	—	—	—
2025	22	A MLE	3 teams	—	368	307	62	9	1	1	22	117	36	6	3	202	330	248	577	46	300	32	6	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	Down East Wood Ducks	—	52	42	12	1	0	1	6	19	4	1	0	286	440	381	821	95	436	37	12	359	129	—	—	—	—	—	—
2025	22	A MLE	3 teams	—	368	307	62	9	1	1	22	117	36	6	3	202	330	248	577	46	300	32	6	260	62	—	—	—	—	—	—
YTD	23	A+ MLE	CWS	—	191	154	24	1	1	2	17	64	17	2	2	156	309	214	523	58	242	34	9	245	52	-11	-0	+0	+3	+4	-0.4
▸ 2026 season
YTD	23	A+ RAW	CWS	—	191	145	28	1	1	3	26	48	17	2	2	193	378	276	654	83	258	25	14	317	52	—	—	—	—	—	—
ROS	23	A+ MLE	CWS	0%	28	24	4	1	0	0	2	8	2	0	0	167	286	208	494	42	264	29	7	260	62	-1	+0	+0	+0	+1	-0.0
TOT	23	A+ MLE	CWS	—	219	178	28	2	1	2	19	72	19	2	2	157	306	213	519	56	243	33	9	247	53	-12	-0	+0	+4	+5	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	CWS	30%	366	317	63	10	2	5	28	101	18	5	2	199	300	290	590	91	267	28	8	271	69	-13	+0	+0	+7	+8	0.1
2028	25	MLB MLE	CWS	44%	417	362	73	12	2	6	32	113	20	5	2	202	302	296	598	94	270	27	8	278	75	-13	+0	+0	+7	+9	0.4
2029	26	MLB MLE	CWS	51%	448	390	80	13	2	8	35	120	20	6	3	205	303	310	614	105	271	27	8	283	77	-12	+0	+0	+8	+10	0.6
2030	27	MLB MLE	CWS	52%	462	401	82	13	2	8	37	124	21	6	3	204	305	307	612	102	271	27	8	284	78	-12	+0	+0	+8	+10	0.6
2031	28	MLB MLE	CWS	53%	466	404	82	13	2	8	38	126	21	6	2	203	305	304	609	101	271	27	8	283	77	-12	+0	-1	+8	+10	0.6
2032	29	MLB MLE	CWS	53%	461	400	81	13	2	8	38	125	20	5	2	203	303	305	608	102	270	27	8	281	76	-13	+0	-1	+8	+10	0.4
2033	30	MLB MLE	CWS	52%	454	394	79	13	2	7	37	124	20	5	2	201	302	297	599	96	268	27	8	278	74	-14	+0	-2	+8	+10	0.2
2034	31	MLB MLE	CWS	52%	430	373	74	12	2	7	35	119	19	4	2	198	300	298	597	99	266	28	8	274	72	-15	+0	-3	+8	+9	-0.0
2027	24	MLB CTX	CWS	30%	111	96	18	3	0	1	8	31	6	1	1	188	291	250	541	62	268	28	7	235	69	-4	-0	+0	+2	+2	0.0
2028	25	MLB CTX	CWS	44%	184	159	32	5	1	3	14	50	9	2	1	201	302	302	604	101	270	27	8	245	75	-6	+0	+0	+3	+4	0.2
2029	26	MLB CTX	CWS	51%	227	197	41	7	1	4	18	61	10	3	1	208	307	315	621	107	272	27	8	250	77	-6	+0	+0	+4	+5	0.3
2030	27	MLB CTX	CWS	52%	242	210	43	7	1	4	19	65	11	3	1	205	304	305	609	100	272	27	8	252	78	-6	+0	+0	+4	+5	0.4
2031	28	MLB CTX	CWS	53%	248	215	43	7	1	4	20	67	11	3	1	200	301	298	598	98	271	27	8	251	77	-7	+0	-0	+4	+5	0.3
2032	29	MLB CTX	CWS	53%	242	209	42	7	1	4	20	66	11	3	1	201	304	301	606	100	270	27	8	249	76	-7	+0	-1	+4	+5	0.2
2033	30	MLB CTX	CWS	52%	237	206	42	7	1	4	19	65	10	2	1	204	302	306	608	102	269	27	8	246	74	-7	+0	-1	+4	+5	0.1
2034	31	MLB CTX	CWS	52%	223	193	38	6	1	3	18	62	10	2	1	197	299	285	584	88	267	28	8	242	72	-8	+0	-1	+4	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1714	1485	299	49	7	27	136	467	78	19	8	201	302	298	600	97	272	27	8	247	74	-50	+1	-4	+31	+37	1.5
/ 162G	—	A+C		—	650	563	114	19	3	10	52	177	30	7	3	202	304	300	605	98	274	27	8	247	74	-19	+0	-1	+12	+14	0.6
Career	—	MLE		—	3952	3411	692	110	17	59	310	1096	201	49	21	203	307	297	604	94	278	28	8	278	74	-105	+1	-7	+63	+77	2.9
/ 162G	—	MLE		—	650	561	114	18	3	10	51	180	33	8	3	203	307	299	606	96	277	28	8	278	74	-19	+0	-1	+12	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Austin Barneslast yr '24 career totals — 8 seasons, 1,639 PA	2.5	1,639	35	22	225	325	344	+29	+59	12.4	12.5
/162	664	14	9	+11.9	+23.8	5.0	pk7: 13
#2Bobby 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
#3Danny 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
#4Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#5Cliff 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
#6Sandy 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.6	1,717	28	20	202	300	301	+31	+16	2.8	2.8
/162	664	11	8	+11.9	+6.2	1.1	pk7: 3

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
Ben Hartl (OGILVIE)	23	30	20	45	35	183/293/245	62	264	2	4	28%	7%	62	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Cordova 2023 · A	23	43	36→40	49→50	38	203/256/271	67	296	3	8	31%	5%	50	-2.3	213/270/290	77	305	4	9	29%	6%	59	-1.6	229/290/316	87	306	5	11	25%	7%	70	-0.4
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Matt Pagnozzi 2006 · AA	23	38	37→40	45→40	41	181/243/253	71	264	4	7	31%	7%	41	-3.0	191/243/270	79	272	5	4	30%	5%	45	-2.7	210/276/290	80	290	6	0	28%	7%	60	-0.7
✕Andy Paz 2016 · A	23	38	37→40	48→45	42	186/248/255	69	274	5	6	32%	8%	43	-2.8	230/279/295	65	301	4	7	23%	6%	63	-1.3	246/291/294	49	312	2	7	21%	6%	64	-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	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕Yoel Romero 2021 · A	23	43	38→40	46→50	45	206/268/286	80	275	6	9	26%	7%	58	-1.7	216/267/308	92	323	7	4	33%	6%	62	-1.4	212/260/299	87	317	7	0	34%	5%	55	-0.8
✕Alfredo González 2015 · A	23	42	38→30	52→45	43	203/264/285	81	271	6	9	26%	6%	56	-1.9	233/294/295	62	311	4	6	24%	7%	70	-0.9	228/291/282	54	298	4	5	23%	7%	63	-0.7
✕Erlin Cerda 2017 · A	23	44	36→40	51→55	42	205/266/275	70	280	2	11	26%	6%	55	-2.0	195/240/267	72	302	3	8	34%	5%	42	-2.9	164/198/208	44	258	0	8	35%	4%	9	-1.2
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Shawn Roof 2008 · A	23	44	35→30	45→50	43	204/266/259	55	283	2	9	27%	6%	51	-2.2	226/286/279	53	297	2	10	23%	6%	63	-1.4	245/294/293	48	320	1	17	22%	5%	65	-0.5
✕Ben Gobbel 2023 · A	23	42→41	36→45	47→50	41	197/257/265	68	280	4	7	30%	6%	49	-2.4	211/269/323	112	288	12	13	30%	6%	68	-1.0	212/261/335	123	271	15	11	27%	4%	64	-0.9
✕Connor Justus 2018 · A	23	40→38	38→40	46→45	45	189/272/265	76	270	5	9	30%	8%	56	-1.9	179/259/251	72	255	5	8	29%	8%	49	-2.4	164/243/223	59	238	4	6	30%	7%	34	-2.4
✕Taylor Krick 2011 · A	23	43	39→30	48→40	50	207/292/288	80	272	6	7	25%	9%	68	-1.0	227/312/290	63	312	3	5	26%	8%	76	-0.4	234/324/284	50	326	2	2	25%	8%	77	-0.1
✕Luis De La Cruz 2011 · A	22	39	40→30	47→30	38	193/228/291	98	250	6	6	26%	4%	44	-2.8	234/265/314	80	285	4	6	19%	4%	62	-1.4	265/287/332	67	311	3	4	16%	3%	71	-0.3
✕Roberto Alvarez 2022 · A	23	48→42	37→30	49→40	44	225/286/295	70	297	5	5	25%	6%	67	-1.1	226/278/297	71	298	4	5	24%	5%	64	-1.3	232/279/291	59	294	0	2	20%	4%	61	-0.6
✕Mike Martin 2016 · A	23	40	35→30	52→55	42	183/275/240	57	297	3	13	36%	8%	52	-2.2	223/279/284	61	291	3	17	23%	6%	61	-1.5	242/289/295	53	301	2	23	19%	5%	65	-0.5
✕Onix Vega 2022 · A	23	44	38→30	51→45	45	211/282/293	82	273	6	7	24%	7%	65	-1.2	211/286/284	73	280	5	6	24%	8%	65	-1.2	201/282/257	56	265	4	5	24%	9%	56	-0.8
✕Israel Nunez 2009 · A	23	44	36→40	46→40	42	211/258/272	61	260	4	5	20%	5%	51	-2.3	215/261/278	63	265	4	5	19%	5%	53	-2.1	267/306/333	66	322	4	1	18%	3%	81	-0.0
✕Adam Weisenburger 2013 · AA	24	43	36→40	43→30	46	202/277/267	66	268	4	5	25%	8%	58	-1.7	217/296/304	87	281	6	4	23%	8%	74	-0.6	216/301/298	83	274	6	2	21%	8%	72	-0.3
✕Vicente Conde 2017 · AA	23	40→35	39→40	46→45	44	193/259/279	85	278	5	7	31%	8%	53	-2.1	176/250/260	84	258	6	6	31%	9%	46	-2.6	104/202/173	69	167	5	2	38%	10%	8	-1.6

Career Stats + Projections

Career Comps

Career Path Comps