Ryan McCarty — OGILVIE

Ryan McCartySS Altoona Curve

Age 27 R/R 5'9" / 182 lbs AA HR -15%K -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION184 act + 21 ros · stats below = ROS only

showingROS

wRC+†58

AVG/OBP/SLG.211 / .286 / .263

PA21

HR0

K%29

BB%10

BABIP255

ISO53

MLB%2%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 40 / POW 35

Toolsscout grade

CONTACT40

scouting grade only

POWER35

scouting grade only

EYE50

scouting grade only

SPEED50

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	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
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		$0.0M	+$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)
2022	23	A	Dunedin Blue Jays	—	74	62	17	4	0	1	8	22	3	1	1	274	384	387	771	113	400	30	11	350	123	+2	-0	—	—	+2	0.3
2023	24	A+	Vancouver Canadians	—	149	121	30	7	1	3	20	36	5	3	2	248	377	397	773	149	318	24	13	347	121	+4	-0	—	—	+3	0.7
2023	24	A	Dunedin Blue Jays	—	243	205	50	15	3	7	28	59	4	6	2	244	345	449	793	205	299	24	12	345	119	+6	+0	—	—	+5	1.2
2024	25	AA	New Hampshire Fisher Cats	—	286	261	63	13	0	9	18	74	6	5	5	241	305	395	700	153	302	26	6	313	98	-1	-1	—	—	+6	0.5
2024	25	A+	Vancouver Canadians	—	187	165	41	8	1	5	17	36	3	7	4	248	330	400	730	152	286	19	9	325	106	+1	-0	—	—	+4	0.5
2025	26	AAA	Buffalo Bisons	—	28	25	6	0	1	1	2	8	1	0	0	240	321	440	761	200	312	29	7	337	114	+0	+0	—	—	+1	0.1
2025	26	AA	New Hampshire Fisher Cats	—	377	326	73	17	1	4	41	92	9	9	5	224	327	319	646	95	299	24	11	300	89	-5	-0	—	—	+8	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	23	A MLE	Dunedin Blue Jays	—	74	64	14	3	0	1	6	31	3	1	1	219	315	312	628	94	370	42	8	278	74	-2	-0	—	—	+2	-0.1
2023	24	A+ MLE	Vancouver Canadians	—	149	128	23	5	1	2	13	49	5	3	2	180	281	281	562	102	254	33	9	252	57	-8	-0	—	—	+3	-0.5
2023	24	A MLE	Dunedin Blue Jays	—	243	214	40	12	2	5	20	82	4	6	2	187	269	332	601	145	255	34	8	261	63	-11	+0	—	—	+5	-0.5
2024	25	AA MLE	New Hampshire Fisher Cats	—	286	266	50	10	0	6	13	91	6	5	5	188	242	293	535	105	256	32	5	233	44	-19	-1	—	—	+6	-1.4
2024	25	A+ MLE	Vancouver Canadians	—	187	171	33	5	1	4	11	51	3	7	4	193	254	304	558	111	238	27	6	239	48	-12	-0	—	—	+4	-0.8
2025	26	AAA MLE	Buffalo Bisons	—	28	26	5	0	1	1	1	10	1	0	0	192	250	385	635	192	286	36	4	272	70	-1	+0	—	—	+1	-0.0
2025	26	AA MLE	New Hampshire Fisher Cats	—	377	338	60	13	1	3	29	116	9	9	5	178	261	249	509	71	257	31	8	234	45	-25	-0	—	—	+8	-1.7
2022	23	A MLE	Dunedin Blue Jays	—	74	64	14	3	0	1	6	31	3	1	1	219	315	312	628	94	394	42	8	278	74	—	—	—	—	—	—
2022	23	A RAW	Dunedin Blue Jays	—	74	62	17	4	0	1	8	22	3	1	1	274	384	387	771	113	400	30	11	350	74	—	—	—	—	—	—
2023	24	A MLE	2 teams	—	392	343	63	18	3	6	32	131	9	9	4	184	271	306	577	122	266	33	8	258	60	—	—	—	—	—	—
2023	24	A RAW	2 teams	—	392	326	80	22	4	10	48	95	9	9	4	245	357	429	786	184	306	24	12	346	60	—	—	—	—	—	—
2024	25	AA MLE	2 teams	—	473	437	82	15	1	9	24	142	9	12	9	188	245	288	533	101	253	30	5	235	45	—	—	—	—	—	—
2024	25	AA RAW	2 teams	—	473	426	104	21	1	14	35	110	9	12	9	244	315	397	712	153	295	23	7	318	45	—	—	—	—	—	—
2025	26	AA MLE	2 teams	—	405	364	65	13	2	4	30	126	10	9	5	179	260	258	518	80	260	31	7	237	46	—	—	—	—	—	—
2025	26	AA RAW	2 teams	—	405	351	79	17	2	5	43	100	10	9	5	225	327	328	654	103	300	25	11	303	46	—	—	—	—	—	—
2022	23	A MLE	Dunedin Blue Jays	—	74	65	14	3	0	1	6	31	3	1	1	215	315	308	623	92	370	42	8	278	74	—	—	—	—	—	—
2023	24	A MLE	2 teams	—	392	348	63	18	3	6	32	131	9	9	4	181	271	302	573	121	255	33	8	258	60	—	—	—	—	—	—
2024	25	AA MLE	2 teams	—	473	437	82	15	1	9	24	142	9	12	9	188	245	288	533	101	249	30	5	235	45	—	—	—	—	—	—
2025	26	AA MLE	2 teams	—	405	362	65	13	2	4	30	126	10	9	5	180	260	260	520	80	259	31	7	237	46	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	24	A MLE	2 teams	—	392	348	63	18	3	6	32	131	9	9	4	181	271	302	573	121	255	33	8	258	60	—	—	—	—	—	—
2024	25	AA MLE	2 teams	—	473	437	82	15	1	9	24	142	9	12	9	188	245	288	533	101	249	30	5	235	45	—	—	—	—	—	—
2025	26	AA MLE	2 teams	—	405	362	65	13	2	4	30	126	10	9	5	180	260	260	520	80	259	31	7	237	46	—	—	—	—	—	—
YTD	27	AA MLE	PIT	—	184	157	31	4	0	2	21	46	4	9	4	197	308	261	569	64	264	25	11	252	56	-10	+0	+0	+2	+4	-0.3
▸ 2026 season
YTD	27	AA RAW	PIT	—	102	81	16	3	0	2	16	22	3	6	2	198	350	309	659	111	241	22	16	307	56	—	—	—	—	—	—
YTD	27	AAA RAW	PIT	—	82	67	16	1	0	0	14	16	1	3	2	239	378	254	632	15	314	20	17	309	56	—	—	—	—	—	—
ROS	27	AA MLE	PIT	2%	21	19	4	1	0	0	2	6	0	1	0	211	286	263	549	53	257	29	10	253	58	-1	+0	+0	+0	+0	-0.0
TOT	27	AA MLE	PIT	—	205	176	35	5	0	2	23	52	4	10	4	199	305	261	567	62	268	25	11	252	57	-11	+0	+0	+2	+4	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	28	MLB MLE	PIT	27%	333	296	57	10	1	5	28	92	6	8	4	193	276	284	560	91	258	28	8	257	60	-16	+0	-1	+4	+7	-0.6
2028	29	MLB MLE	PIT	37%	352	313	61	11	1	5	30	97	6	8	4	195	278	284	562	89	260	28	9	260	62	-16	+0	-1	+4	+8	-0.6
2027	28	MLB CTX	PIT	27%	89	80	15	3	0	1	7	25	2	2	1	188	270	263	532	75	257	28	8	241	60	-4	+0	-0	+1	+2	-0.2
2028	29	MLB CTX	PIT	37%	131	117	22	4	0	2	11	36	2	3	1	188	269	274	543	85	259	27	8	245	62	-6	+0	-1	+1	+3	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	220	197	37	7	0	3	18	61	4	5	2	188	269	269	538	81	254	28	8	243	55	-10	+0	-1	+2	+5	-0.4
/ 162G	—	A+C		—	650	582	110	21	0	9	53	180	12	15	6	189	270	271	542	82	255	28	8	243	55	-30	+1	-2	+7	+14	-1.0
Career	—	MLE		—	2050	1836	346	71	8	30	152	625	43	48	27	188	266	285	551	96	264	30	7	249	55	-33	+0	-2	+8	+15	-1.2
/ 162G	—	MLE		—	650	582	111	23	3	10	48	198	14	15	9	191	269	292	561	101	266	30	7	249	55	-30	+0	-2	+7	+14	-1.1

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
#2Adam 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
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#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 1 projected seasons	0.3	225	3	5	195	273	287	+2	+3	-0.2	-0.1
/162	664	10	15	+7.1	+8.9	-0.6	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
Ryan McCarty (OGILVIE)	27	40	35	50	50	187/270/272	84	257	3	7	28%	8%	58	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yadiel Rivera 2019 · MLB	27	39→49	38→40	46→50	40	190/245/264	74	274	6	8	32%	6%	45	-2.7	220/258/323	103	315	12	17	33%	5%	63	-1.4	224/249/331	107	323	14	23	34%	3%	57	-1.1
✕Angelo Castellano 2022 · AAA	27	39→44	42→45	49→50	41	198/251/294	96	258	11	12	28%	6%	53	-2.1	207/272/315	108	259	12	13	24%	7%	67	-1.1	201/270/309	108	245	12	14	23%	8%	62	-0.7
✕Clint Sammons 2010 · MLB	27	40→50	41→40	50→45	42	200/245/290	89	248	9	10	23%	5%	50	-2.3	180/234/282	102	229	12	7	27%	6%	45	-2.7	140/192/219	79	174	11	2	27%	5%	13	-1.9
✕Pete Kozma 2014 · MLB	26	44→47	39→40	46→50	47	211/264/296	86	259	6	6	21%	7%	59	-1.7	206/265/285	79	253	6	11	20%	7%	57	-1.8	194/243/282	88	241	5	6	21%	5%	46	-1.7
✕Erick Monzon 2009 · AA	27	38→44	41→45	51→50	43	192/246/287	95	253	9	12	27%	7%	50	-2.3	201/251/302	101	282	11	12	31%	6%	55	-1.9	176/217/260	84	242	13	13	32%	5%	31	-1.1
✕Eric Stamets 2019 · AAA	27	39→49	43→45	52→50	40	198/253/309	111	264	10	11	29%	5%	58	-1.7	192/250/294	102	269	9	14	31%	6%	53	-2.1	159/225/248	89	228	8	16	33%	6%	31	-1.5
✕Chris Rabago 2021 · AAA	28	40	41→40	49→55	44	196/256/294	98	264	8	14	28%	7%	55	-1.9	194/262/280	86	289	7	11	33%	7%	55	-2.0	164/237/224	60	253	5	8	35%	7%	30	-1.1
✕Christian Kelley 2021 · AAA	27	38	42→40	48→30	40	191/248/295	104	256	10	5	29%	6%	53	-2.1	228/293/328	100	322	8	8	29%	8%	77	-0.3	245/316/306	61	355	3	0	29%	9%	80	-0.0
✕Errol Robinson 2022 · AAA	27	42→49	38→40	46→55	44	198/266/272	75	293	5	13	32%	8%	55	-2.0	210/283/279	69	327	5	20	34%	9%	62	-1.4	205/278/253	49	316	3	26	33%	9%	52	-0.7
✕Donny Lucy 2010 · MLB	27	42→45	39→40	47→50	38	204/245/285	80	279	7	9	29%	5%	49	-2.4	198/245/291	93	264	8	8	27%	5%	51	-2.3	176/225/260	84	230	7	5	26%	4%	33	-1.2
✕David Thompson 2021 · AAA	27	40→48	42→45	50	41	199/258/307	108	258	10	13	26%	6%	60	-1.6	207/279/354	147	283	16	16	32%	6%	80	-0.2	169/253/329	160	225	20	20	34%	6%	61	-0.6
✕Jason Delay 2023 · MLB	28	42	39→45	42→40	40	202/250/286	84	278	6	5	29%	6%	51	-2.3	223/280/308	85	291	5	5	23%	6%	68	-1.0	217/273/283	67	280	2	2	22%	6%	57	-0.7
✕Tim Smalling 2015 · AAA	27	45→44	39→40	44→45	43	214/267/305	91	279	6	9	25%	6%	62	-1.4	211/255/285	74	262	6	8	21%	5%	53	-2.1	203/244/257	54	248	6	5	20%	4%	38	-1.7
✕Jake Wald 2008 · AA	27	41→42	41→45	48→50	39	201/258/303	103	272	9	10	29%	5%	59	-1.7	195/259/286	91	288	6	9	32%	7%	55	-2.0	179/246/257	79	277	5	7	35%	7%	41	-1.6
✕Max McDowell 2021 · AA	27	41→48	39→40	49→50	46	199/277/284	86	256	7	7	24%	7%	62	-1.4	197/291/277	80	273	6	8	28%	8%	67	-1.1	178/281/242	64	253	6	4	29%	8%	53	-0.8
✕Gerardo Bustamante 2013 · AAA	27	45	41→40	51→50	41	221/264/315	94	276	9	14	24%	5%	63	-1.4	215/253/309	94	275	11	11	25%	4%	57	-1.8	199/234/276	76	254	10	9	26%	3%	39	-0.8
✕Mason McCoy 2022 · AAA	27	43→50	40→45	53→55	39	206/252/305	98	293	7	13	31%	6%	56	-1.9	196/256/317	121	289	12	21	34%	7%	61	-1.5	203/264/296	93	291	8	29	31%	7%	56	-1.5
✕Joe Dunand 2023 · AAA	27	38→45	43→45	49→45	38	186/254/295	109	287	10	8	37%	7%	56	-1.9	220/290/360	140	313	15	8	33%	8%	84	+0.2	222/297/375	153	307	18	4	32%	8%	87	+0.3
✕Deven Marrero 2019 · MLB	28	40→48	39→45	49→50	38	198/241/284	86	277	7	11	31%	5%	47	-2.6	201/256/316	115	282	13	11	32%	7%	61	-1.5	189/249/290	101	261	12	10	31%	7%	49	-1.1
✕Osvaldo Abreu 2021 · AA	27	41→48	40	44→50	38	198/253/292	93	292	8	8	34%	6%	54	-2.0	204/267/295	91	336	7	9	38%	7%	60	-1.6	140/212/191	51	264	3	4	45%	8%	13	-0.8

Career Stats + Projections

Career Comps

Career Path Comps