Dalton McIntyre — OGILVIE

Dalton McIntyreOF Columbus Clingstones

Age 23 L/L 6'3" / 175 lbs AA Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION349 act + 9 ros · stats below = ROS only

showingROS

wRC+†62

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP294

ISO72

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE55

scouting grade only

SPEED60

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$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	22	A+	Rome Emperors	—	36	31	5	1	0	0	5	10	0	2	0	161	278	194	471	32	238	28	14	233	44	-2	+0	—	—	+1	-0.1
2025	22	ROK	FCL Braves	—	150	127	33	2	1	0	23	30	0	17	2	260	373	291	665	31	340	20	15	316	100	-0	+3	—	—	+3	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A+ MLE	Rome Emperors	—	36	33	4	1	0	0	3	14	0	2	0	121	194	152	346	30	193	39	8	159	-6	-5	+0	—	—	+1	-0.3
2025	22	ROK MLE	FCL Braves	—	150	136	26	1	1	0	14	44	0	17	2	191	267	213	480	22	285	29	9	225	38	-11	+3	—	—	+3	-0.5
2025	22	ROK MLE	2 teams	—	186	169	30	2	1	0	17	58	0	19	2	178	253	201	454	24	270	31	9	212	30	—	—	—	—	—	—
2025	22	ROK RAW	2 teams	—	186	158	38	3	1	0	28	40	0	19	2	241	355	272	627	32	322	22	15	300	30	—	—	—	—	—	—
2025	22	ROK MLE	2 teams	—	186	167	30	2	1	0	17	58	0	19	2	180	253	204	456	24	267	31	9	212	30	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	ROK MLE	2 teams	—	186	167	30	2	1	0	17	58	0	19	2	180	253	204	456	24	267	31	9	212	30	—	—	—	—	—	—
YTD	23	AA MLE	ATL	—	349	312	71	7	2	6	24	105	4	20	4	228	291	321	612	93	319	30	7	265	66	-14	+2	+0	-2	+8	-0.6
▸ 2026 season
YTD	23	A RAW	ATL	—	115	103	33	4	0	4	9	19	2	10	2	320	386	476	862	155	362	17	8	381	66	—	—	—	—	—	—
YTD	23	A+ RAW	ATL	—	64	54	13	1	0	1	7	13	0	1	0	241	328	315	643	74	279	20	11	284	66	—	—	—	—	—	—
YTD	23	AA RAW	ATL	—	170	143	31	3	2	2	20	50	2	9	2	217	321	308	629	91	319	29	12	285	66	—	—	—	—	—	—
ROS	23	AA MLE	ATL	2%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		294	33	11	260	62	-0	+0	+0	-0	+0	-0.0
TOT	23	AA MLE	ATL	—	358	320	72	7	2	6	25	108	4	20	4	225	289	316	605	91	316	30	7	265	66	-15	+2	+0	-2	+8	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	ATL	31%	344	311	67	10	2	5	27	98	3	10	2	215	284	309	593	93	296	28	8	271	70	-12	+1	+0	-2	+7	-0.6
2028	25	MLB MLE	ATL	45%	393	355	78	12	2	7	31	109	4	11	2	220	290	324	614	104	296	28	8	278	74	-12	+1	+0	-2	+9	-0.4
2029	26	MLB MLE	ATL	51%	423	382	84	13	2	8	34	116	4	11	2	220	290	327	618	107	295	27	8	282	77	-12	+1	+0	-3	+9	-0.4
2030	27	MLB MLE	ATL	56%	432	390	87	14	2	8	35	119	4	11	2	223	294	331	624	108	295	28	8	283	78	-11	+1	+0	-3	+9	-0.3
2027	24	MLB CTX	ATL	31%	107	97	22	3	1	2	8	30	1	3	1	227	292	340	633	113	296	28	7	265	70	-4	+0	+0	-1	+2	-0.2
2028	25	MLB CTX	ATL	45%	175	157	35	5	1	3	14	49	2	5	1	223	295	325	620	102	296	28	8	271	74	-5	+1	+0	-1	+4	-0.2
2029	26	MLB CTX	ATL	51%	215	194	43	7	1	4	17	59	2	6	1	222	291	330	621	108	295	27	8	275	77	-6	+1	+0	-1	+5	-0.2
2030	27	MLB CTX	ATL	56%	243	219	49	8	1	5	20	67	2	6	1	224	295	338	633	114	295	28	8	276	78	-6	+1	+0	-1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	740	667	149	23	4	14	59	205	7	20	4	223	293	333	626	109	299	28	8	273	70	-22	+2	+0	-4	+16	-0.8
/ 162G	—	A+C		—	650	586	131	20	4	12	52	180	6	18	4	224	294	333	627	109	299	28	8	273	70	-19	+2	+0	-4	+14	-0.7
Career	—	MLE		—	1787	1615	347	51	9	28	145	503	15	62	10	215	286	310	595	95	292	28	8	272	70	-48	+5	+0	-10	+35	-1.8
/ 162G	—	MLE		—	650	587	126	19	3	10	53	183	5	23	4	215	285	308	593	94	292	28	8	272	70	-19	+2	+0	-4	+14	-0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#2Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#3Ryan 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
#4Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.1	745	13	20	222	289	327	-4	+0	-0.3	-0.2
/162	664	12	17	-4.0	+0.0	-0.3	pk7: 0
#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
Dalton McIntyre (OGILVIE)	23	40	20	60	55	208/277/286	78	294	3	10	29%	8%	62	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕River Town 2022 · A	23	43→38	37→40	54→50	43	203/281/276	74	285	3	12	28%	7%	61	-1.5	210/295/314	104	266	10	15	23%	8%	76	-0.4	205/297/303	98	254	9	15	22%	9%	73	-0.4
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/268/264	67	279	4	12	29%	8%	53	-2.1	210/306/281	71	297	4	26	28%	9%	73	-0.6	226/338/275	49	304	3	35	23%	10%	81	-0.0
✕Stephen Gaylor 2015 · A	23	47	37→30	52→55	39	219/266/296	77	308	4	9	29%	5%	59	-1.7	229/281/281	52	297	1	16	22%	6%	61	-1.5	228/281/269	40	297	1	19	22%	6%	54	-0.9
✕Julio Gonzalez 2018 · A	23	48	35→30	55→50	50	223/288/289	66	286	2	12	22%	8%	66	-1.1	206/269/276	70	268	2	8	22%	8%	56	-1.9	173/238/228	55	217	0	5	19%	8%	31	-1.0
✕Jovan Pickett 2011 · A	23	45	34→30	54→55	39	212/262/264	51	290	2	19	26%	5%	50	-2.3	225/284/285	60	321	2	15	29%	5%	63	-1.3	238/299/275	37	343	0	22	28%	4%	63	-0.5
✕Jake Thomas 2016 · A	23	44	39→30	49→50	47	210/289/293	83	281	7	8	26%	8%	68	-1.0	206/288/273	67	306	2	8	30%	10%	63	-1.3	200/292/257	57	304	1	8	30%	11%	59	-0.8
✕Charles Iacono 2007 · A	23	44	35→30	55→60	48	205/275/261	56	270	3	20	24%	8%	55	-1.9	203/296/264	61	274	2	23	24%	11%	65	-1.2	178/302/215	37	240	0	40	22%	14%	55	-0.7
✕Saige Jenco 2018 · A	23	47	40	54→50	46	221/290/320	99	305	5	15	28%	8%	74	-0.6	212/285/295	83	318	5	12	31%	9%	67	-1.1	193/282/233	40	308	0	13	33%	11%	49	-0.8
✕James Ramsay 2015 · A	23	43→53	38→40	58→50	46	201/270/296	95	279	4	19	28%	8%	61	-1.5	224/282/323	99	285	7	11	23%	7%	72	-0.7	229/285/325	97	283	8	8	21%	7%	70	-0.7
✕Ramiro Rodriguez 2021 · AA	23	43	40	51→50	49	206/287/303	97	281	7	18	28%	9%	70	-0.9	201/263/300	99	311	9	11	36%	7%	60	-1.6	148/212/219	71	239	8	8	39%	6%	19	-1.1
✕Miguel Arrendell 2011 · A	23	43	38→30	50	50	204/283/278	75	275	5	13	26%	9%	62	-1.4	220/277/315	95	278	8	8	22%	7%	68	-1.0	233/284/329	97	269	9	2	17%	6%	70	-0.3
✕Matt Rudick 2022 · A	24	45→42	39→45	56→50	49	217/284/308	92	271	6	11	22%	8%	69	-0.9	210/297/315	105	263	8	14	22%	9%	76	-0.4	205/296/315	110	257	9	15	22%	9%	74	-0.4
✕Patrick Biondi 2015 · A	24	45→44	36→30	50→60	45	211/269/279	67	280	3	15	25%	7%	57	-1.8	231/285/297	66	308	3	25	24%	7%	66	-1.1	238/295/292	55	316	2	32	24%	7%	66	-0.7
✕Davis Bradshaw 2021 · A	23	46	36→40	52→50	39	219/261/285	66	286	3	12	24%	4%	55	-2.0	252/305/325	73	319	4	11	21%	5%	80	-0.1	271/324/338	67	344	3	10	21%	5%	87	+0.2
✕James Rapoport 2008 · A	23	43→53	34→40	53→55	42	201/250/254	53	275	2	18	27%	6%	43	-2.8	232/285/300	68	291	4	16	20%	6%	67	-1.1	246/303/314	68	296	4	13	17%	7%	74	-0.5
✕Blake Rambusch 2023 · A	23	48	37→30	52→65	43	220/289/294	74	319	4	14	30%	7%	68	-1.0	230/314/295	65	316	3	29	25%	9%	78	-0.3	249/326/297	48	311	1	47	18%	9%	80	-0.1
✕Michael DeJesus 2006 · A	23	43→51	36→30	50→45	50	200/287/267	67	290	3	11	30%	10%	61	-1.5	224/299/284	60	278	4	7	19%	10%	70	-0.9	229/306/285	57	278	4	5	17%	10%	70	-0.6
✕Nick Sinay 2017 · A	23	45	36→30	56→60	49	205/317/266	61	285	3	23	26%	9%	75	-0.5	206/321/265	59	291	3	20	28%	8%	77	-0.3	182/323/214	31	272	2	26	28%	7%	65	-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
✕Cam Coursey 2022 · A	23	44	38→40	52→55	48	208/273/289	81	264	5	16	22%	8%	61	-1.5	211/287/288	77	276	4	10	23%	9%	66	-1.1	197/290/254	56	258	2	4	22%	10%	59	-0.7

Career Stats + Projections

Career Comps

Career Path Comps