Romano Donato — OGILVIE

Romano DonatoSS DSL Brewers Blue

Age 17 R/R 5'10" / 167 lbs ROK HR +10%K +6% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION83 act + 9 ros · stats below = ROS only

showingROS

wRC+†63

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

PA9

HR0

K%22

BB%11

BABIP255

ISO89

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$17M ctrl surplus

Tools · ContractCON 46 / POW 38

Toolsscout grade

CONTACT46

scouting grade only

POWER38

scouting grade only

EYE65

scouting grade only

SPEED57

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2035	Arb-1	$3M	+0.6	$1M	+$0.0M (cut)
2036	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2037	Arb-3	$7M	+0.5	$0.9M	+$0.0M (cut)
Totals		$3M		$7M	+$3M

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	16	ROK	DSL Brewers Gold	—	129	102	18	4	0	1	22	22	4	10	4	176	344	245	589	69	212	17	17	289	82	-3	+0	—	—	+3	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	16	ROK MLE	DSL Brewers Gold	—	129	111	14	3	0	1	13	33	4	10	4	126	242	180	422	54	161	26	10	196	19	-12	+0	—	—	+3	-0.9
2025	16	ROK MLE	DSL Brewers Gold	—	129	111	14	3	0	1	13	33	4	10	4	126	242	180	422	54	167	26	10	196	19	—	—	—	—	—	—
2025	16	ROK RAW	DSL Brewers Gold	—	129	102	18	4	0	1	22	22	4	10	4	176	344	245	589	69	212	17	17	289	19	—	—	—	—	—	—
2025	16	ROK MLE	DSL Brewers Gold	—	129	111	14	3	0	1	13	33	4	10	4	126	242	180	422	54	161	26	10	196	19	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	16	ROK MLE	DSL Brewers Gold	—	129	111	14	3	0	1	13	33	4	10	4	126	242	180	422	54	161	26	10	196	19	—	—	—	—	—	—
YTD	17	ROK MLE	MIL	—	83	69	6	1	0	1	11	23	3	1	2	87	241	145	386	58	111	28	13	189	14	-8	-1	+0	+1	+2	-0.7
▸ 2026 season
YTD	17	ROK RAW	MIL	—	83	63	8	2	0	1	17	16	3	1	2	127	337	206	544	79	152	19	20	280	14	—	—	—	—	—	—
ROS	17	ROK MLE	MIL	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		256	22	11	261	63	-0	+0	+0	+0	+0	-0.0
TOT	17	ROK MLE	MIL	—	92	77	7	1	0	1	12	25	3	1	2	91	239	143	382	52	118	27	13	196	19	-9	-1	+0	+1	+2	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	18	MLB MLE	MIL	34%	201	177	36	7	1	3	19	51	3	4	1	203	291	305	597	102	262	25	9	269	68	-8	+0	+0	+2	+4	-0.1
2028	19	MLB MLE	MIL	48%	342	301	62	12	2	5	32	86	6	7	2	206	295	309	604	103	267	25	9	278	74	-11	+1	+0	+4	+7	0.1
2029	20	MLB MLE	MIL	54%	451	397	84	16	2	8	43	112	8	10	3	212	301	322	624	111	270	25	10	284	78	-12	+1	+0	+5	+10	0.4
2030	21	MLB MLE	MIL	57%	533	467	101	19	3	10	51	131	10	12	4	216	307	334	641	118	271	25	10	288	81	-12	+1	+0	+6	+12	0.6
2031	22	MLB MLE	MIL	58%	585	513	109	20	3	11	56	143	11	13	4	212	303	327	631	115	272	24	10	290	83	-12	+1	+0	+6	+13	0.8
2032	23	MLB MLE	MIL	58%	607	533	115	21	3	12	58	147	11	14	5	216	306	334	640	118	273	24	10	292	84	-12	+1	+0	+7	+13	0.9
2033	24	MLB MLE	MIL	57%	621	544	118	22	3	12	60	150	12	14	5	217	308	335	643	118	273	24	10	293	85	-11	+1	+0	+7	+13	1.0
2034	25	MLB MLE	MIL	57%	631	553	120	22	3	13	61	153	12	14	5	217	308	338	646	121	273	24	10	294	85	-11	+1	+0	+7	+14	1.0
2035	26	MLB MLE	MIL	57%	637	558	121	22	3	13	62	154	12	15	5	217	309	337	645	120	273	24	10	294	85	-11	+1	+0	+7	+14	1.1
2036	27	MLB MLE	MIL	56%	636	557	120	22	3	13	62	154	12	15	5	215	307	336	643	120	273	24	10	294	85	-11	+1	+0	+7	+14	1.1
2037	28	MLB MLE	MIL	55%	630	551	118	22	3	12	62	154	12	14	5	214	307	330	638	116	273	24	10	294	85	-11	+1	-1	+7	+14	0.9
2038	29	MLB MLE	MIL	53%	620	541	116	21	3	12	62	152	12	13	5	214	309	331	640	116	272	25	10	292	84	-12	+1	-1	+7	+13	0.7
2039	30	MLB MLE	MIL	53%	609	532	113	21	3	11	61	151	11	13	4	212	306	325	631	113	271	25	10	289	82	-13	+1	-2	+7	+13	0.6
2040	31	MLB MLE	MIL	52%	595	520	109	20	3	11	59	150	11	12	4	210	303	323	626	113	269	25	10	285	79	-15	+1	-3	+6	+13	0.3
2027	18	MLB CTX	MIL	34%	68	61	11	2	0	1	6	17	1	1	0	180	265	262	527	82	261	25	9	257	68	-3	+0	+0	+1	+1	-0.0
2028	19	MLB CTX	MIL	48%	165	145	31	6	1	3	16	41	3	3	1	214	305	331	636	117	265	25	10	265	74	-5	+0	+0	+2	+4	0.0
2029	20	MLB CTX	MIL	54%	244	215	44	8	1	4	23	60	4	5	2	205	293	307	600	102	268	25	9	271	78	-6	+0	+0	+3	+5	0.2
2030	21	MLB CTX	MIL	57%	301	264	57	10	2	6	29	74	5	7	2	216	305	337	642	121	269	25	10	275	81	-7	+1	+0	+3	+7	0.4
2031	22	MLB CTX	MIL	58%	337	296	64	12	2	7	32	82	6	8	3	216	305	341	647	125	270	24	9	277	83	-7	+0	+0	+4	+7	0.4
2032	23	MLB CTX	MIL	58%	352	308	66	12	2	7	34	85	7	8	3	214	307	334	641	120	271	24	10	279	84	-7	+0	+0	+4	+8	0.5
2033	24	MLB CTX	MIL	57%	355	311	67	12	2	7	34	86	7	8	3	215	307	334	641	119	272	24	10	280	85	-6	+0	+0	+4	+8	0.6
2034	25	MLB CTX	MIL	57%	358	313	68	12	2	8	35	87	7	8	3	217	310	345	655	128	272	24	10	281	85	-6	+0	+0	+4	+8	0.6
2035	26	MLB CTX	MIL	57%	361	316	69	12	2	8	35	87	7	8	3	218	310	345	655	127	272	24	10	281	85	-6	+0	+0	+4	+8	0.6
2036	27	MLB CTX	MIL	56%	353	308	66	12	2	7	35	86	7	8	3	214	309	334	643	120	272	24	10	281	85	-6	+0	+0	+4	+8	0.6
2037	28	MLB CTX	MIL	55%	346	303	65	12	2	7	34	84	6	8	3	215	306	337	643	122	271	24	10	280	85	-6	+0	-0	+4	+7	0.5
2038	29	MLB CTX	MIL	53%	332	290	62	11	2	7	33	82	6	7	2	214	307	338	645	124	271	25	10	279	84	-6	+1	-1	+4	+7	0.4
2039	30	MLB CTX	MIL	53%	321	280	60	11	2	6	32	80	6	7	2	214	308	332	640	118	270	25	10	276	82	-7	+1	-1	+3	+7	0.3
2040	31	MLB CTX	MIL	52%	310	270	56	10	1	6	31	78	6	6	2	207	303	319	621	111	267	25	10	272	79	-8	+0	-1	+3	+7	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4203	3680	786	142	23	84	409	1029	78	92	32	214	305	333	639	120	271	24	10	277	81	-87	+6	-4	+45	+91	5.2
/ 162G	—	A+C		—	650	569	122	22	4	13	63	159	12	14	5	214	306	336	642	121	272	24	10	277	81	-13	+1	-1	+7	+14	0.8
Career	—	MLE		—	7836	6863	1457	270	38	147	762	1923	147	180	61	212	304	327	631	115	271	25	10	288	81	-162	+11	-7	+83	+167	9.4
/ 162G	—	MLE		—	650	569	120	22	3	12	63	160	12	15	5	211	302	323	626	112	270	25	10	288	81	-14	+1	-1	+7	+14	0.8

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
#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
#4Cliff 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
#5Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.5	4,310	81	96	215	303	331	+46	+24	8.3	6.9
/162	664	12	15	+7.1	+3.7	1.3	pk7: 6
#6Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5

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
Romano Donato (OGILVIE)	17	41→46	33→38	52→57	65	191/283/274	84	256	1	2	26%	10%	63	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jorge Mateo 2013 · A	18	44→48	40→50	51→65	48	211/282/302	91	281	6	10	26%	9%	67	-1.1	211/270/308	97	287	7	34	27%	7%	64	-1.3	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Jonathan Galvez 2009 · A	18	45→48	39→45	51→55	53	209/310/290	81	290	7	9	27%	11%	76	-0.4	212/285/327	115	307	10	14	32%	8%	74	-0.5	235/283/350	115	329	10	23	30%	5%	76	-0.3
✕Alexander Albertus 2023 · A	18	50	36→45	55→45	57	230/329/297	67	301	2	9	22%	12%	84	+0.2	231/325/325	94	288	8	10	21%	11%	89	+0.5	229/319/329	99	290	10	8	22%	11%	86	+0.1
✕Enmanuel Tejeda 2023 · A	18	45→37	40	52→60	57	212/316/313	100	269	5	12	21%	12%	83	+0.1	225/310/312	87	311	7	23	27%	10%	80	-0.1	226/313/303	78	310	7	32	27%	10%	77	-0.1
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Aroon Escobar 2023 · A	18	42→45	39→45	47→55	48	202/296/282	81	254	6	12	22%	8%	70	-0.9	210/296/305	95	253	9	16	20%	9%	74	-0.5	215/297/320	105	260	12	19	21%	8%	77	-0.2
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Ryan Burrowes 2023 · A	18	44→45	39→40	55→60	46	209/291/296	87	283	6	13	26%	8%	70	-0.8	190/254/255	65	320	4	20	39%	6%	47	-2.6	197/269/273	76	310	7	32	36%	7%	54	-1.5
✕Francisco Herrera 2012 · A	18	46	40→45	47→30	49	220/280/315	95	261	7	8	19%	7%	70	-0.9	225/284/324	99	267	9	5	19%	6%	73	-0.6	225/284/320	95	260	10	3	17%	6%	71	-0.3
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Francisco Acuna 2018 · A	18	39→48	37→45	55→50	55	183/284/257	74	242	4	15	24%	11%	59	-1.6	194/267/263	69	267	3	9	26%	8%	53	-2.1	217/289/313	96	287	8	16	26%	7%	70	-0.4
✕Luis Torrens 2014 · A	18	42→48	36→50	49→40	45	196/262/257	61	277	3	5	29%	8%	49	-2.4	204/277/280	76	276	6	5	26%	8%	61	-1.5	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Ramon Mendoza 2019 · A	18	46→49	41→45	48→45	46	220/292/328	108	287	7	4	25%	7%	77	-0.3	209/280/296	87	296	5	4	29%	7%	65	-1.2	230/307/340	110	300	10	3	25%	9%	83	+0.0
✕Dilson Herrera 2012 · A	18	46→56	39→50	50	47	218/290/315	98	283	4	13	23%	7%	74	-0.6	226/277/349	123	297	11	12	27%	6%	76	-0.4	254/305/388	134	310	14	13	22%	6%	92	+0.7
✕Marco Vargas 2023 · A	18	47	38→40	50→60	51	221/294/308	87	285	4	13	23%	9%	73	-0.6	208/298/278	70	288	3	18	26%	11%	68	-1.0	213/291/276	63	314	3	36	30%	10%	62	-0.7
✕Jose Monserrate 2023 · A	18	47	38→40	50	45	221/288/307	86	288	5	13	24%	7%	71	-0.8	215/291/282	67	299	3	21	26%	8%	66	-1.1	187/271/231	44	298	1	34	34%	9%	45	-0.6
✕Ricardo Cova 2022 · A	18	44→50	38→45	47→55	45	210/277/286	76	271	6	9	24%	6%	62	-1.4	207/267/292	85	318	6	15	35%	6%	59	-1.6	229/275/344	115	283	10	21	22%	5%	72	-0.5
✕Jefferson Rojas 2023 · A	18	48→45	37→45	56→50	46	225/283/305	80	271	4	16	18%	6%	68	-1.0	212/272/309	97	268	9	15	23%	6%	65	-1.2	211/272/336	125	248	14	18	21%	7%	69	-0.7
✕Cristofer Torin 2023 · A	18	50	36→40	53→50	57	230/320/300	70	279	2	19	17%	11%	82	-0.0	219/297/293	74	273	5	14	20%	9%	71	-0.8	230/298/322	93	274	8	10	18%	8%	75	-0.4
✕Victor Heredia 2018 · A	18	45	38→50	49→30	42	211/275/293	82	307	6	6	31%	7%	62	-1.4	221/268/323	102	290	9	4	26%	5%	66	-1.1	221/264/326	105	281	10	1	25%	4%	67	-0.4

Career Stats + Projections

Career Comps

Career Path Comps