Brody Donay — OGILVIE

Brody DonayC Charleston RiverDogs

Age 22 R/R 6'5" / 235 lbs A HR +6%H +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION180 act + 18 ros · stats below = ROS only

showingROS

wRC+†62

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

PA18

HR0

K%39

BB%11

BABIP300

ISO109

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$13M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Arb-1	$1M	+0.2	$0.4M	+$0.0M
2035	Arb-2	$1M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$4M		$3M	+$1M

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)
2025	21	A	Charleston RiverDogs	—	39	34	7	2	0	1	4	9	1	1	0	206	308	353	661	147	250	23	10	302	91	-0	+0	—	—	+1	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Charleston RiverDogs	—	39	35	6	2	0	1	3	13	1	1	0	171	256	314	571	143	234	33	8	231	42	-3	+0	—	—	+1	-0.2
2025	21	A MLE	Charleston RiverDogs	—	39	35	6	2	0	1	3	13	1	1	0	171	256	314	571	143	238	33	8	231	42	—	—	—	—	—	—
2025	21	A RAW	Charleston RiverDogs	—	39	34	7	2	0	1	4	9	1	1	0	206	308	353	661	147	250	23	10	302	42	—	—	—	—	—	—
2025	21	A MLE	Charleston RiverDogs	—	39	35	6	2	0	1	3	13	1	1	0	171	256	314	571	143	234	33	8	231	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	Charleston RiverDogs	—	39	35	6	2	0	1	3	13	1	1	0	171	256	314	571	143	234	33	8	231	42	—	—	—	—	—	—
YTD	22	A MLE	TB	—	180	150	21	1	1	3	20	88	8	6	1	140	275	220	495	80	300	49	11	236	46	-12	+1	+0	+3	+4	-0.4
▸ 2026 season
YTD	22	ROK RAW	TB	—	24	18	3	0	0	0	3	8	3	0	0	167	375	167	542		300	33	12	292	46	—	—	—	—	—	—
YTD	22	A RAW	TB	—	156	120	24	2	1	4	29	54	5	6	1	200	377	333	710	133	317	35	19	332	46	—	—	—	—	—	—
ROS	22	A MLE	TB	0%	18	16	2	0	0	0	2	7	0	0	0	125	222	125	347		291	39	11	260	62	-1	+0	+0	+0	+0	-0.0
TOT	22	A MLE	TB	—	198	166	23	1	1	3	22	95	8	6	1	139	270	211	481	72	290	48	11	238	47	-12	+1	+0	+4	+4	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	TB	34%	226	199	39	6	1	5	20	81	5	6	1	196	286	312	597	116	295	36	9	270	69	-8	+1	+0	+4	+5	0.1
2028	24	MLB MLE	TB	46%	327	288	57	9	2	7	29	114	7	9	2	198	287	316	603	118	296	35	9	277	74	-10	+1	+0	+6	+7	0.4
2029	25	MLB MLE	TB	52%	384	339	69	11	2	9	34	131	8	10	2	204	291	327	619	124	296	34	9	281	76	-11	+1	+0	+7	+8	0.6
2030	26	MLB MLE	TB	54%	421	372	75	12	2	10	38	143	8	11	2	202	289	325	615	124	296	34	9	283	78	-11	+1	+0	+8	+9	0.7
2031	27	MLB MLE	TB	54%	436	384	77	12	2	10	40	148	9	12	3	201	291	320	611	120	295	34	9	283	78	-12	+1	+0	+8	+9	0.7
2032	28	MLB MLE	TB	58%	442	389	79	13	2	11	41	151	9	12	3	203	294	332	625	129	295	34	9	282	77	-12	+1	-1	+8	+10	0.6
2033	29	MLB MLE	TB	55%	438	386	77	12	2	10	40	150	9	11	3	199	290	319	608	119	294	34	9	280	76	-13	+1	-1	+8	+9	0.4
2034	30	MLB MLE	TB	54%	432	381	76	12	2	10	40	149	8	11	2	199	289	320	609	121	292	34	9	277	74	-13	+1	-2	+8	+9	0.3
2035	31	MLB MLE	TB	53%	408	359	70	11	2	9	38	142	8	10	2	195	286	312	598	117	289	35	9	273	71	-14	+1	-3	+7	+9	0.1
2027	23	MLB CTX	TB	34%	78	69	13	2	0	2	7	28	2	2	0	188	282	304	586	116	304	36	9	261	69	-3	+0	+0	+1	+2	0.1
2028	24	MLB CTX	TB	46%	151	133	27	4	1	3	14	53	3	4	1	203	293	316	609	113	305	35	9	268	74	-5	+0	+0	+3	+3	0.2
2029	25	MLB CTX	TB	52%	198	174	37	6	1	5	18	68	4	5	1	213	301	345	646	132	305	34	9	273	76	-6	+1	+0	+4	+4	0.3
2030	26	MLB CTX	TB	54%	228	202	42	7	1	6	20	77	4	6	1	208	292	342	634	134	304	34	9	275	78	-6	+1	+0	+4	+5	0.4
2031	27	MLB CTX	TB	54%	237	208	43	7	1	6	22	80	5	6	1	207	298	337	634	130	304	34	9	275	78	-6	+1	+0	+4	+5	0.4
2032	28	MLB CTX	TB	58%	258	227	47	8	1	6	24	88	5	7	2	207	297	330	627	123	303	34	9	274	77	-7	+1	-0	+5	+6	0.3
2033	29	MLB CTX	TB	55%	243	214	44	7	1	6	22	83	5	6	1	206	295	332	626	126	302	34	9	272	76	-7	+1	-1	+4	+5	0.3
2034	30	MLB CTX	TB	54%	232	205	41	7	1	5	21	80	4	6	1	200	287	317	604	117	301	34	9	269	74	-7	+1	-1	+4	+5	0.2
2035	31	MLB CTX	TB	53%	216	190	38	6	1	5	20	75	4	5	1	200	290	321	611	121	298	35	9	265	71	-7	+1	-1	+4	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1841	1622	332	54	8	44	168	632	36	47	9	205	294	329	623	125	302	34	9	271	75	-54	+6	-4	+33	+40	2.1
/ 162G	—	A+C		—	650	573	118	19	3	16	59	223	13	17	3	206	295	333	628	127	303	34	9	271	75	-19	+2	-1	+12	+14	0.7
Career	—	MLE		—	3571	3148	627	100	17	82	325	1229	72	93	20	199	289	320	609	121	294	34	9	279	75	-105	+10	-7	+63	+77	3.9
/ 162G	—	MLE		—	650	573	114	18	3	15	59	224	13	17	4	199	288	319	608	120	294	34	9	279	75	-19	+2	-1	+12	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#2Brendan 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
#3Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#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
#5Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.9	1,930	44	50	202	287	324	+34	+24	3.5	3.3
/162	664	15	17	+11.9	+8.3	1.2	pk7: 3
#6Ryan 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

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
Brody Donay (OGILVIE)	22	—	—	—	—	182/275/282	100	291	2	2	38%	9%	62	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jack Brannigan 2023 · A	22	42	43→50	48→50	43	204/282/312	108	305	11	13	34%	8%	70	-0.8	201/283/352	151	301	18	17	37%	9%	80	-0.1	184/270/336	152	267	19	18	36%	9%	69	-0.5
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	204/268/326	123	280	11	10	30%	7%	68	-1.0	194/266/335	141	268	16	7	32%	8%	70	-0.9	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Tucker Mitchell 2023 · A	22	38	43→45	51→45	35	181/259/287	106	307	11	11	42%	7%	57	-1.8	200/265/308	108	290	13	7	34%	6%	63	-1.4	190/248/282	93	268	12	5	33%	5%	49	-1.0
✕Juan Mora 2022 · A	22	46	44→45	55	46	225/303/346	121	300	11	14	27%	8%	86	+0.3	225/283/333	108	304	9	9	28%	5%	75	-0.5	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕Kendall Simmons 2022 · A	22	41	48→50	49→50	39	206/273/355	148	290	15	9	33%	6%	76	-0.4	200/267/343	143	290	16	9	35%	6%	72	-0.7	202/267/346	145	293	16	7	35%	6%	71	-0.3
✕Ryan Bliss 2022 · A	22	43→49	47→45	51→60	39	215/265/348	133	294	15	16	31%	6%	72	-0.7	207/268/330	123	280	12	32	29%	7%	69	-0.9	221/289/349	127	292	11	41	26%	7%	78	-0.2
✕Marcus Greene Jr. 2016 · A	21	42	46→50	53→40	46	204/288/342	137	301	13	8	34%	9%	80	-0.2	198/259/320	122	275	14	4	32%	7%	63	-1.4	189/248/298	109	256	13	1	31%	6%	52	-0.8
✕Cooper Bowman 2022 · A	22	44→43	45	56→60	41	213/288/344	131	301	12	19	32%	7%	80	-0.2	199/275/314	115	285	11	34	32%	8%	68	-1.0	202/274/318	116	272	11	40	28%	8%	66	-0.7
✕Jordan Newton 2008 · A	22	45	43→55	50	38	218/267/327	109	300	10	11	30%	5%	68	-1.0	217/259/341	124	319	10	9	34%	4%	67	-1.1	217/260/344	127	320	10	8	34%	4%	65	-0.6
✕Jeter Downs 2019 · A	21	41→40	43→50	52→55	43	204/269/311	107	264	11	18	26%	6%	65	-1.2	205/270/351	146	270	17	18	29%	7%	75	-0.5	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕Chris Roller 2019 · A	22	39	41→45	51→55	42	192/267/295	103	286	9	14	34%	8%	61	-1.5	205/269/313	108	292	7	12	30%	6%	65	-1.2	178/265/281	103	258	10	19	32%	8%	56	-1.0
✕Yu Chang 2017 · A	21	40→44	45→50	49→45	38	203/253/331	128	284	12	8	32%	6%	63	-1.3	200/259/336	136	279	14	8	32%	6%	67	-1.1	212/267/370	158	271	20	6	29%	6%	76	-0.2
✕Sean Coyle 2013 · A	21	38→36	45→50	54→50	38	193/255/316	124	276	12	13	34%	6%	61	-1.5	204/262/352	148	296	18	14	36%	6%	72	-0.7	194/255/352	157	279	21	15	37%	7%	68	-0.5
✕Christopher Bostick 2015 · A	22	42→52	44→45	52→55	40	208/261/328	120	289	10	15	31%	6%	65	-1.2	221/268/329	108	291	8	14	26%	5%	68	-1.0	235/286/338	103	306	8	7	25%	5%	73	-0.5
✕Sicnarf Loopstok 2016 · A	23	40→37	49→50	53→50	39	207/268/353	146	287	16	9	33%	6%	74	-0.5	208/273/341	133	295	14	10	33%	6%	74	-0.6	202/274/346	144	284	16	9	33%	6%	75	-0.3
✕Lucas May 2007 · A	22	40→43	46→55	53→45	34	206/246/340	133	288	14	8	33%	4%	62	-1.4	211/257/357	146	274	17	6	29%	5%	71	-0.8	214/273/345	131	281	14	4	28%	6%	72	-0.4
✕Blaze Alexander 2021 · A	22	45→48	42→45	51→50	42	215/281/322	107	301	9	11	30%	7%	72	-0.7	206/277/331	125	321	14	12	37%	7%	73	-0.6	239/319/362	123	339	12	15	30%	8%	93	+0.6
✕Yorberto Mejicano 2023 · A	22	46	44→45	48→45	39	226/274/336	110	303	12	8	29%	5%	72	-0.7	223/277/335	112	301	11	9	28%	6%	73	-0.6	216/274/330	114	285	12	9	27%	6%	69	-0.3
✕Corey Joyce 2021 · A	22	44	40	50	39	211/267/307	95	311	8	8	33%	6%	63	-1.4	201/290/309	108	293	11	12	33%	9%	74	-0.6	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Luca Tresh 2022 · A	22	44→40	41→50	49→40	39	209/261/310	102	312	8	7	35%	6%	61	-1.5	208/269/341	133	274	16	4	29%	7%	72	-0.7	206/254/334	128	277	15	2	31%	5%	62	-0.8

Career Stats + Projections

Career Comps

Career Path Comps