Ryan McCrystal — OGILVIE

Ryan McCrystalC Dayton Dragons

Age 23 L/R 6'2" / 215 lbs A+ HR +16%BB +6% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION447 act + 10 ros · stats below = ROS only

showingROS

wRC+†59

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP271

ISO82

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 50 / POW 35

Toolsscout grade

CONTACT50

scouting grade only

POWER35

scouting grade only

EYE30

scouting grade only

SPEED40

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	+0.2	$0.6M	+$0.0M
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-1	$0.4M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.9M	+$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. 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	Daytona Tortugas	—	42	39	10	3	0	0	3	9	0	0	0	256	310	333	643	77	333	21	7	292	84	-1	+0	—	—	+1	0.0
2025	22	A+	Dayton Dragons	—	74	70	19	7	0	0	3	17	1	0	0	271	311	371	682	100	358	23	4	306	94	-1	+0	—	—	+2	0.1
2025	22	A	Daytona Tortugas	—	264	234	69	14	3	4	20	48	4	1	1	295	360	432	792	137	355	18	8	347	121	+6	-0	—	—	+6	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Daytona Tortugas	—	42	40	8	2	0	0	2	13	0	0	0	200	238	250	488	50	317	31	5	237	47	-3	+0	—	—	+1	-0.2
2025	22	A+ MLE	Dayton Dragons	—	74	71	16	6	0	0	2	23	1	0	0	225	257	310	567	85	322	31	3	240	49	-5	+0	—	—	+2	-0.3
2025	22	A MLE	Daytona Tortugas	—	264	238	57	11	2	3	16	68	4	1	1	239	298	340	639	101	310	26	6	278	74	-8	-0	—	—	+6	-0.3
2024	21	A MLE	Daytona Tortugas	—	42	40	8	2	0	0	2	13	0	0	0	200	238	250	488	50	296	31	5	237	47	—	—	—	—	—	—
2024	21	A RAW	Daytona Tortugas	—	42	39	10	3	0	0	3	9	0	0	0	256	310	333	643	77	333	21	7	292	47	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	338	309	73	17	2	3	18	91	5	1	1	236	289	333	622	97	324	27	5	270	69	—	—	—	—	—	—
2025	22	A RAW	2 teams	—	338	304	88	21	3	4	23	65	5	1	1	289	349	418	767	128	356	19	7	338	69	—	—	—	—	—	—
2024	21	A MLE	Daytona Tortugas	—	42	40	8	2	0	0	2	13	0	0	0	200	238	250	488	50	317	31	5	237	47	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	338	312	73	17	2	3	18	91	5	1	1	234	289	330	619	96	313	27	5	270	69	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	Daytona Tortugas	—	42	40	8	2	0	0	2	13	0	0	0	200	238	250	488	50	317	31	5	237	47	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	338	312	73	17	2	3	18	91	5	1	1	234	289	330	619	96	313	27	5	270	69	—	—	—	—	—	—
YTD	23	A+ MLE	CIN	—	447	403	89	23	1	5	35	122	5	0	3	221	291	320	611	99	300	27	8	268	68	-17	-1	+0	+8	+10	-0.1
▸ 2026 season
YTD	23	A+ RAW	CIN	—	324	275	75	22	0	4	41	65	4	0	2	273	375	396	771	124	338	20	13	347	68	—	—	—	—	—	—
YTD	23	AA RAW	CIN	—	123	113	28	6	1	2	9	28	1	0	1	248	309	372	681	124	313	23	7	306	68	—	—	—	—	—	—
ROS	23	A+ MLE	CIN	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		268	30	10	255	59	-0	+0	+0	+0	+0	-0.0
TOT	23	A+ MLE	CIN	—	457	412	90	23	1	5	36	125	5	0	3	218	289	316	605	97	297	27	8	268	67	-18	-1	+0	+8	+10	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	CIN	30%	426	388	80	19	1	6	31	110	4	1	2	206	272	307	579	101	269	26	7	262	64	-18	-1	+0	+8	+9	-0.2
2028	25	MLB MLE	CIN	44%	456	414	86	20	1	7	34	116	5	1	2	208	276	312	588	104	271	25	7	271	70	-17	-1	+0	+8	+10	0.1
2029	26	MLB MLE	CIN	51%	475	431	93	21	2	9	36	120	5	1	2	216	284	336	620	121	272	25	8	276	73	-15	-1	+0	+8	+10	0.3
2030	27	MLB MLE	CIN	52%	479	434	92	21	1	9	37	121	5	1	2	212	282	327	609	115	273	25	8	277	74	-15	-1	+0	+9	+10	0.3
2031	28	MLB MLE	CIN	53%	477	431	92	21	1	9	38	121	5	1	2	213	285	329	614	116	272	25	8	276	73	-15	-1	-1	+9	+10	0.2
2032	29	MLB MLE	CIN	53%	468	423	88	20	1	8	37	120	5	1	2	208	280	317	596	109	271	26	8	274	72	-16	-1	-1	+8	+10	0.1
2033	30	MLB MLE	CIN	52%	459	415	87	20	1	8	36	118	5	1	1	210	281	320	601	111	270	26	8	271	70	-16	-0	-2	+8	+10	-0.1
2027	24	MLB CTX	CIN	30%	129	118	24	6	0	2	9	33	1	0	0	203	266	305	571	102	272	26	7	259	64	-6	+0	+0	+2	+3	-0.1
2028	25	MLB CTX	CIN	44%	202	183	40	9	1	4	15	51	2	0	1	219	285	344	629	126	274	25	7	268	70	-7	-0	+0	+4	+4	0.0
2029	26	MLB CTX	CIN	51%	241	218	48	11	1	5	18	61	3	1	1	220	289	349	637	128	275	25	7	273	73	-8	-0	+0	+4	+5	0.2
2030	27	MLB CTX	CIN	52%	251	226	49	11	1	5	20	63	3	1	1	217	289	341	630	124	276	25	8	274	74	-8	-0	+0	+4	+5	0.2
2031	28	MLB CTX	CIN	53%	254	229	49	11	1	5	20	64	3	1	1	214	286	336	622	122	275	25	8	273	73	-8	-0	-0	+5	+6	0.1
2032	29	MLB CTX	CIN	53%	246	222	48	11	1	5	19	63	3	1	1	216	287	342	629	126	274	26	8	271	72	-8	-0	-1	+4	+5	0.1
2033	30	MLB CTX	CIN	52%	239	216	45	10	1	4	19	62	2	0	1	208	278	319	598	111	273	26	8	268	70	-9	-0	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1562	1412	303	69	6	30	120	397	17	4	6	215	284	336	620	121	275	25	8	270	70	-54	-2	-2	+28	+34	0.4
/ 162G	—	A+C		—	650	588	125	29	2	12	50	165	7	2	2	213	282	330	612	117	273	25	8	270	70	-22	-1	-1	+12	+14	0.2
Career	—	MLE		—	3630	3294	700	161	10	59	270	933	39	8	14	213	280	321	601	109	277	26	7	272	70	-113	-4	-4	+58	+70	0.7
/ 162G	—	MLE		—	650	590	126	29	2	11	48	167	7	1	3	214	281	325	606	112	277	26	7	272	70	-23	-1	-1	+12	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#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
#3Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#4Sandy 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
#5Ronny 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
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.4	1,564	27	4	212	279	324	+28	+12	1.6	1.6
/162	664	11	2	+11.9	+5.1	0.7	pk7: 2

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 McCrystal (OGILVIE)	23	50	35	40	30	200/266/290	90	268	3	1	26%	7%	59	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brady Whalen 2021 · A	23	42→49	40→45	39→40	44	204/265/295	91	271	7	3	27%	7%	59	-1.7	221/276/341	120	278	12	7	24%	6%	74	-0.6	222/277/350	127	272	13	7	23%	6%	73	-0.3
✕L.T. Tolbert 2019 · A	23	45→53	37→40	45→40	48	211/268/286	75	257	4	6	19%	7%	58	-1.7	237/283/318	81	290	6	5	19%	5%	70	-0.8	253/295/328	75	303	6	3	18%	4%	75	-0.3
✕Joey Wong 2011 · A	23	41→49	38→40	44→45	41	199/244/277	79	260	6	6	26%	5%	47	-2.6	220/266/303	83	280	5	6	22%	4%	61	-1.5	225/270/305	81	283	4	5	21%	4%	60	-0.8
✕Corey Kemp 2009 · A	23	43→49	38→40	41→40	42	206/268/282	76	272	6	3	26%	6%	57	-1.8	223/287/308	85	296	5	4	24%	8%	70	-0.8	230/298/316	86	301	4	2	23%	8%	74	-0.4
✕Tony Wolters 2015 · AA	23	47→54	37→40	40→45	43	222/275/299	77	295	5	5	25%	6%	63	-1.4	215/281/294	79	289	5	6	25%	8%	65	-1.2	226/305/294	68	292	4	1	22%	8%	70	-0.4
✕Joel Naughton 2010 · A	23	46	40	44→30	44	221/265/313	91	269	8	3	21%	6%	62	-1.4	233/277/336	103	305	10	5	26%	6%	73	-0.6	264/300/356	93	351	11	0	27%	5%	84	+0.0
✕Kyle Phillips 2007 · AA	23	41→51	38→45	45→30	44	200/253/269	69	254	6	4	23%	6%	48	-2.5	239/285/340	101	284	11	2	19%	6%	77	-0.3	248/295/354	106	290	12	0	18%	6%	81	-0.0
✕Daniel Brito 2021 · A	23	42→46	38→40	42→50	40	204/251/279	75	275	6	9	27%	5%	50	-2.3	238/288/351	113	303	9	7	23%	6%	80	-0.1	260/307/387	128	321	10	4	21%	6%	92	+0.4
✕Jin-De Jhang 2016 · A	23	49→55	38→40	42→40	43	235/269/313	78	273	6	4	16%	4%	63	-1.3	234/271/311	77	262	5	4	12%	4%	64	-1.3	239/274/309	70	261	4	1	10%	4%	62	-0.5
✕Peter Maris 2017 · A	23	46→50	38→45	41→50	48	221/279/300	79	271	6	6	20%	7%	65	-1.2	228/286/342	114	275	11	9	20%	7%	78	-0.3	213/273/360	147	272	16	7	27%	7%	75	-0.2
✕Jonathan Morales 2018 · AA	23	44→48	38→40	40→30	42	212/248/284	72	252	6	3	19%	4%	49	-2.4	213/258/281	68	261	5	3	19%	5%	53	-2.1	205/256/301	96	241	12	1	20%	6%	55	-1.0
✕Joey August 2010 · A	23	42	39→40	41→50	42	206/250/293	87	262	6	6	24%	5%	53	-2.1	224/273/323	99	269	7	9	19%	5%	68	-1.0	233/282/328	95	269	6	10	16%	5%	70	-0.4
✕Seth Dhaenens 2007 · A	23	43	34→30	40→30	42	201/251/248	47	268	2	7	25%	6%	42	-2.9	209/261/261	52	299	1	5	28%	6%	49	-2.4	206/259/244	38	297	0	3	29%	6%	42	-0.9
✕Rafael Marchán 2021 · A	22	46	36→45	40	47	214/269/282	67	257	3	6	17%	6%	57	-1.8	205/266/280	75	243	4	4	17%	6%	56	-1.9	226/305/329	102	258	9	2	16%	8%	81	-0.0
✕Wilbis Santiago 2019 · A	23	49	37→40	47→30	42	230/262/307	77	261	4	6	14%	3%	59	-1.6	233/266/314	81	267	4	5	14%	3%	63	-1.4	260/287/342	82	291	2	2	11%	2%	74	-0.3
✕Ryan Goins 2011 · A	23	46→56	37→45	40→45	43	217/265/290	73	292	4	6	26%	6%	57	-1.8	246/287/340	94	312	5	6	22%	6%	76	-0.4	255/293/353	98	316	6	6	20%	5%	79	-0.2
✕Trent Gilbert 2016 · A	23	44→45	38→40	44→40	38	214/249/291	77	284	6	4	26%	4%	51	-2.2	217/254/307	90	302	5	4	29%	4%	57	-1.8	216/252/309	92	302	4	1	29%	4%	54	-1.1
✕Pratt Maynard 2013 · A	23	44	38→45	47→45	45	211/264/286	76	270	5	7	24%	6%	56	-1.9	223/286/329	106	282	8	5	23%	8%	75	-0.5	224/295/344	120	278	10	2	22%	9%	79	-0.1
✕Mitchell Tolman 2017 · A	23	45→47	40→45	39→50	51	214/284/298	84	251	8	7	18%	8%	67	-1.1	216/289/307	91	292	8	9	26%	8%	71	-0.8	217/287/331	114	285	10	8	26%	7%	73	-0.4
✕Cole Armstrong 2007 · AA	23	39→36	40→50	42→30	43	194/241/283	89	246	8	3	24%	6%	47	-2.5	218/253/337	119	276	12	2	25%	4%	64	-1.3	225/277/348	122	271	15	1	22%	6%	75	-0.3

Career Stats + Projections

Career Comps

Career Path Comps