Angel Bonilla

OF DSL Marlins

Age 18 L/R ROK HR -10%H -3% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	17	ROKMIA	34	.259/.412/.519	2	0	59	—	.172/.294/.310
2027PROJ0% MLB	18	MLBMIA	144	.235/.314/.344	2	1	88	0.0
2028PROJ34% MLB	19	MLBMIA	47	.230/.311/.337	1	0	91	0.0
2029PROJ48% MLB	20	MLBMIA	140	.232/.313/.343	3	1	93	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 1% · didn't stick 98%

CompsAndrew Lambo (age 19) · Michael Arroyo (age 18) · Aron Estrada (age 18)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 47 proj PA

wRC+†88

AVG/OBP/SLG.233 / .311 / .341

PA47

HR1

K%22

BB%10

ISO109

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$15M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2036	Arb-1	$2M	+0.4	$0.8M	+$0.0M (cut)
2037	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2038	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$5M	+$2M

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. 2027 = actual YTD + projected ROS + total. 2028+ 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)
2026	17	ROK	DSL Marlins	—	34	27	7	1	0	2	7	4	0	0	2	259	412	519	930	259	238	12	21	410	59	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	17	ROK MLE	DSL Marlins	—	34	29	5	1	0	1	5	5	0	0	2	172	294	310	604	138	150	15	15	255	59	—	—	—	—	—	—
2026	17	ROK MLE	DSL Marlins	—	34	29	5	1	0	1	5	5	0	0	2	172	294	310	604	138	174	15	15	255	59	—	—	—	—	—	—
2026	17	ROK RAW	DSL Marlins	—	34	27	7	1	0	2	7	4	0	0	2	259	412	519	930	259	238	12	21	410	59	—	—	—	—	—	—
2026	17	ROK MLE	DSL Marlins	—	34	29	5	1	0	1	5	5	0	0	2	172	294	310	604	138	150	15	15	255	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	17	ROK MLE	DSL Marlins	—	34	29	5	1	0	1	5	5	0	0	2	172	294	310	604	138	150	15	15	255	59	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	18	MLB MLE	MIA	0%	144	128	30	5	1	2	14	31	1	1	0	235	314	344	658	109	290	22	10	298	88	-2	+0	+0	-1	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	19	MLB MLE	MIA	34%	138	123	30	5	1	3	13	30	1	1	1	238	317	351	669	113	292	22	9	302	91	-2	-0	+0	-1	+3	0.0
2029	20	MLB MLE	MIA	48%	288	255	62	10	2	6	28	62	3	3	2	240	320	358	678	118	293	22	10	306	93	-2	-0	+0	-2	+6	0.2
2030	21	MLB MLE	MIA	54%	405	359	86	14	2	8	39	87	4	4	2	241	322	363	685	122	294	21	10	309	95	-2	+0	+0	-2	+9	0.4
2031	22	MLB MLE	MIA	57%	488	433	104	17	3	10	47	105	5	5	3	243	323	368	692	126	295	22	10	311	97	-2	-0	+0	-3	+11	0.6
2032	23	MLB MLE	MIA	58%	544	482	118	20	3	12	52	117	5	5	3	244	324	372	696	128	296	22	10	313	98	-1	-0	+0	-3	+12	0.7
2033	24	MLB MLE	MIA	57%	582	515	127	21	4	13	56	125	6	5	4	245	325	374	699	129	296	21	10	314	99	-1	-1	+0	-3	+13	0.8
2034	25	MLB MLE	MIA	57%	604	535	131	22	4	13	58	130	6	5	4	245	325	375	700	130	296	22	10	315	99	-1	-1	+0	-4	+13	0.8
2035	26	MLB MLE	MIA	57%	615	545	134	22	4	14	59	132	6	5	4	245	325	375	699	130	296	21	10	314	99	-1	-1	+0	-4	+13	0.8
2036	27	MLB MLE	MIA	55%	617	547	134	22	4	14	59	133	6	5	4	244	324	372	696	128	296	22	10	313	98	-2	-1	+0	-4	+13	0.8
2037	28	MLB MLE	MIA	55%	614	544	131	22	3	13	59	134	6	3	3	242	322	367	689	125	295	22	10	310	96	-3	-1	-1	-4	+13	0.6
2038	29	MLB MLE	MIA	53%	605	537	128	21	3	12	58	134	5	1	3	239	319	360	679	121	293	22	10	306	93	-5	-1	-1	-4	+13	0.2
2039	30	MLB MLE	MIA	53%	595	529	125	20	3	12	56	134	5	1	2	236	315	352	667	116	291	23	9	302	90	-7	-1	-2	-4	+13	-0.0
2028	19	MLB CTX	MIA	34%	47	42	9	1	0	1	5	10	0	0	0	230	311	337	647	106	283	21	11	294	91	-1	+0	+0	-0	+1	0.0
2029	20	MLB CTX	MIA	48%	140	125	29	4	1	3	13	30	1	1	1	232	313	343	656	110	284	21	9	298	93	-1	-0	+0	-1	+3	0.1
2030	21	MLB CTX	MIA	54%	220	195	45	7	1	4	21	47	2	2	1	234	315	348	663	114	285	21	10	300	95	-1	+0	+0	-1	+5	0.2
2031	22	MLB CTX	MIA	57%	276	245	58	9	2	6	26	59	3	3	2	235	316	353	669	118	286	21	9	303	97	-1	-0	+0	-2	+6	0.3
2032	23	MLB CTX	MIA	58%	313	277	66	10	2	7	30	67	3	3	2	236	317	357	674	120	286	21	10	304	98	-1	-0	+0	-2	+7	0.4
2033	24	MLB CTX	MIA	57%	332	294	70	11	2	7	32	71	3	3	2	237	318	358	676	121	287	21	10	305	99	-0	-0	+0	-2	+7	0.5
2034	25	MLB CTX	MIA	57%	343	304	72	11	2	7	33	74	3	3	2	237	318	359	677	122	287	22	10	306	99	-0	-0	+0	-2	+7	0.5
2035	26	MLB CTX	MIA	57%	348	309	72	11	2	7	33	75	3	3	2	237	318	359	677	122	287	22	9	305	99	-0	-0	+0	-2	+8	0.5
2036	27	MLB CTX	MIA	55%	342	303	71	11	2	7	33	74	3	3	2	236	317	356	673	120	286	22	10	304	98	-1	-0	+0	-2	+7	0.4
2037	28	MLB CTX	MIA	55%	337	299	70	11	2	7	32	74	3	2	2	234	315	351	666	117	285	22	9	301	96	-2	-0	-0	-2	+7	0.3
2038	29	MLB CTX	MIA	53%	324	287	66	10	2	6	31	72	3	1	2	232	312	345	657	114	284	22	10	298	93	-3	-1	-1	-2	+7	0.1
2039	30	MLB CTX	MIA	53%	313	277	64	10	2	6	30	70	3	1	1	229	309	338	646	109	282	22	10	293	90	-4	-0	-1	-2	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3335	2957	692	106	20	68	319	723	30	25	19	234	315	352	667	118	286	22	10	302	96	-15	-3	-2	-20	+72	3.4
/ 162G	—	A+C		—	650	576	135	21	4	13	62	141	6	5	4	234	315	352	668	118	286	22	10	302	96	-3	-1	-0	-4	+14	0.7
Career	—	MLE		—	6176	5475	1325	219	36	132	594	1338	58	43	37	242	323	367	690	125	296	22	10	310	96	-28	-5	-4	-37	+133	6.0
/ 162G	—	MLE		—	650	576	140	23	4	14	63	141	6	5	4	243	324	370	694	127	297	22	10	310	96	-3	-1	-0	-4	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rob Mackowiaklast yr '08 career totals — 8 seasons, 2,618 PA	3.9	2,618	64	49	259	332	405	-11	-3	8.7	8.9
/162	664	16	12	-2.7	-0.8	2.2	pk7: 9
#2Scott Spiezio'96-'07 * career totals — 11 seasons, 4,412 PA	6.6	4,412	119	33	245*	318*	406*	-34	-15	7.5	7.8
/162	664	18	5	-5.2	-2.3	1.1	pk7: 8
#3Ron Swoboda'65-'73 * career totals — 8 seasons, 2,924 PA	4.4	2,924	73	20	243*	329*	417*	-30	-1	6.8	7.3
/162	664	17	5	-6.7	-0.3	1.5	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.1	3,382	72	24	243	319	369	-20	+0	5.7	5.1
/162	664	14	5	-4.0	+0.0	1.1	pk7: 5
#4Gabe Grosslast yr '10 career totals — 7 seasons, 1,682 PA	2.5	1,682	40	22	239	330	385	-14	+11	5.1	5.1
/162	664	16	9	-5.7	+4.4	2.0	pk7: 5
#5Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#6Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	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
Angel Bonilla (OGILVIE)	18	—	—	—	—	233/311/341	108	290	1	0	22%	10%	88	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andrew Lambo 2008 · A	19	50→51	43→60	43→45	48	241/311/356	114	308	9	4	24%	8%	91	+0.6	244/289/375	131	319	12	4	26%	6%	86	+0.3	247/296/456	209	307	27	5	28%	6%	107	+1.0
✕Michael Arroyo 2023 · A	18	45→51	39→50	44→50	49	210/310/300	90	269	6	7	22%	8%	79	-0.2	217/319/344	127	291	11	8	27%	9%	93	+0.8	232/324/382	150	294	16	12	25%	8%	100	+1.3
✕Aron Estrada 2023 · A	18	50→54	41→50	47→55	54	238/323/346	109	290	6	7	19%	10%	93	+0.8	235/304/342	107	293	8	18	21%	8%	84	+0.2	258/306/387	130	312	14	21	21%	5%	93	+0.7
✕Cam Collier 2023 · A	18	49→44	45	43→40	46	236/306/362	126	316	13	6	28%	8%	91	+0.6	215/295/316	101	314	9	3	31%	9%	76	-0.4	214/297/312	98	314	9	2	32%	9%	74	-0.4
✕Hendry Mendez 2022 · A	18	50→57	39→45	51→45	51	234/299/332	97	275	5	7	16%	8%	80	-0.2	227/296/304	77	285	5	5	20%	9%	73	-0.6	262/336/372	110	313	10	6	18%	9%	101	+1.0
●Moisés Ballesteros 2023 · A	19	41→51	46→50	45→40	50	210/283/334	125	261	14	5	25%	9%	76	-0.4	248/309/379	131	301	14	4	21%	8%	95	+0.9	266/327/397	130	316	14	3	20%	8%	104	+1.4
✕Canaan Smith-Njigba 2019 · A	20	46→51	41→45	46→55	51	218/304/317	98	298	9	7	28%	10%	79	-0.2	237/308/353	116	333	10	11	29%	9%	88	+0.5	242/319/359	118	343	9	15	29%	10%	91	+0.4
✕Akil Baddoo 2018 · A	19	46→53	42→50	52→55	49	220/298/335	114	290	7	10	25%	9%	80	-0.1	201/274/317	116	305	8	13	34%	9%	68	-1.0	238/319/386	148	309	15	24	26%	11%	100	+0.9
✕Caleb Gindl 2008 · A	19	53→57	43→50	45→50	42	253/294/376	123	326	9	6	25%	6%	88	+0.4	246/304/377	131	337	12	9	28%	7%	93	+0.8	254/319/385	131	313	13	9	22%	8%	97	+1.0
✕Alexander Mojica 2021 · A	18	46	42→45	47→40	53	220/303/328	108	271	9	5	22%	10%	82	-0.0	181/260/278	97	289	10	3	38%	8%	55	-2.0	157/244/254	97	252	11	1	39%	9%	41	-1.2
✕Fernando Martinez 2007 · A	18	49→59	47→50	47→45	41	245/292/386	141	306	14	9	25%	5%	91	+0.6	255/299/380	125	322	11	8	23%	5%	91	+0.7	250/300/405	155	325	18	1	28%	4%	96	+0.6
✕Samuel Basallo 2023 · A	18	41→51	43→55	48→45	42	203/262/304	101	271	11	4	29%	6%	61	-1.5	241/298/398	157	309	18	7	27%	7%	95	+1.0	240/301/413	173	300	21	6	27%	7%	98	+0.9
✕Hector Osorio 2023 · A	18	46	37→45	47→50	49	215/299/289	74	290	4	8	25%	9%	72	-0.7	205/319/270	65	256	3	14	19%	12%	76	-0.4	223/323/350	127	253	16	10	18%	10%	93	+0.4
✕Walker Jenkins 2024 · A	19	53	45→50	53→55	45	257/305/391	134	308	11	11	20%	6%	95	+1.0	245/323/376	131	300	11	17	21%	9%	99	+1.3	248/332/390	141	301	14	20	21%	10%	103	+1.0
●Josue De Paula 2023 · A	18	47→54	40→50	50→55	54	224/305/318	94	270	6	14	19%	10%	80	-0.2	233/325/328	95	314	7	17	25%	11%	90	+0.6	241/338/391	150	298	16	24	23%	12%	106	+1.5
●Cheslor Cuthbert 2012 · A	19	46→56	44→50	49→45	42	228/282/343	116	302	12	4	28%	6%	76	-0.4	222/267/325	103	278	10	6	23%	6%	66	-1.1	255/309/403	148	298	17	1	20%	7%	101	+0.7
●Gabriel Gonzalez 2023 · A	19	47→57	43→50	49→45	44	228/296/339	111	277	10	9	21%	6%	82	-0.0	253/309/380	127	305	13	7	21%	5%	95	+1.0	266/321/397	132	318	13	6	20%	5%	101	+1.1
✕Matthew Sweeney 2007 · A	19	48→42	44→55	54→45	46	234/300/363	129	287	10	6	22%	7%	88	+0.4	229/281/377	148	286	15	5	25%	6%	84	+0.2	213/267/352	139	278	15	3	28%	6%	72	-0.4
●Jackson Holliday 2023 · A	19	51→61	41→50	49→50	60	240/338/346	106	301	8	10	21%	13%	98	+1.2	254/339/391	137	339	12	14	26%	11%	109	+2.0	249/334/388	139	323	13	15	25%	11%	105	+1.7
✕Josue Briceño 2024 · A	19	43	44→60	45→40	45	212/270/332	119	265	11	5	24%	7%	70	-0.9	231/302/376	145	286	16	3	24%	8%	92	+0.7	230/310/399	168	278	22	1	25%	9%	99	+0.6

Angel Bonilla

Career Stats + Projections

Career Comps

Career Path Comps