Steward Berroa — OGILVIE

Steward BerroaRF Lehigh Valley IronPigs

INJURED · Reassigned to Minors (RM)

Age 27 S/R 5'9" / 193 lbs AAA HR +11%H +4% Svc 0.448 · Ctrl thru 2031 peak 0.4 · 2027

wRC+†85

AVG/OBP/SLG.214 / .294 / .316

PA152

HR2

SB10

K%31

BB%9

MLB%40%

Scouting · now → future

HIT

45→45

PWR

35→35

SPD

60→60

EYE

51↗60

trajectory · 10 yrs

0.2peak

2027

Contract

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

Status Pre-Arb

MLB Debut 2024

Service 0.448 yrs.days

Team Control Through 2031

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.8M	+0.1	$0.4M	+$0.0M (cut)
2027	Pre-Arb	$0.8M	+0.4	$2M	+$0.8M
2028	Pre-Arb	$0.8M	+0.3	$1M	+$0.5M
2029	Arb-1	$0.4M	+0.2	$0.9M	+$0.5M
2030	Arb-2	$0.4M	—	—	—
2031	Arb-3	$0.6M	—	—	—
Totals		$1M		$3M	+$2M

Career Projections (MLE)

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	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
2017	18	ROK	DSL Blue Jays	221	198	38	2	5	1	15	70	3	20	12	.192	.259	.268	.527	.076	.285	32	7	.230	34	-16	-1	+0	-2	+6	-1.4
2018	19	ROK	GCL Blue Jays	167	151	30	6	1	0	14	52	1	17	6	.199	.271	.252	.523	.053	.303	31	8	.238	40	-11	+1	+0	-2	+5	-0.7
2021	22	A	Dunedin Blue Jays	333	290	63	10	4	6	38	95	1	55	9	.217	.310	.341	.651	.124	.300	29	11	.286	77	-9	+7	+0	-4	+9	0.5
2022	23	A+	2 teams	315	285	46	6	6	6	23	115	4	47	7	.161	.234	.288	.522	.126	.241	37	7	.229	34	-24	+7	+0	-3	+9	-1.2
2023	24	AA	3 teams	467	407	94	23	2	6	43	162	3	53	10	.231	.309	.342	.651	.111	.362	35	9	.283	75	-13	+7	+0	-5	+13	0.2
2024	25	AAA	3 teams	416	370	88	11	2	10	38	119	3	52	11	.238	.314	.359	.673	.122	.322	29	9	.298	86	-7	+6	+3	-4	+12	1.0
2025	26	AAA	3 teams	470	404	86	17	1	2	47	141	6	51	11	.213	.304	.275	.579	.062	.311	30	10	.262	59	-22	+6	+1	+2	+13	-0.1
▸ 2026 Season (actual · ROS · total)
2026	27	AAA	Lehigh Valley IronPigs	55	52	14	2	1	2	3	17	0	2	2	.269	.309	.462	.771	.192	.364	31	5	.315	99	-0	-0	+0	-1	+2	0.1
ROS	27	MLB	PHI	97	87	20	3	1	2	9	30	1	8	2	.230	.309	.356	.666	.126	.312	31	9	.286	77	-3	+1	+0	-1	+3	0.0
TOT	27	MLB	PHI	152	139	34	5	2	4	12	47	1	10	4	.245	.309	.396	.705	.151	.341	31	8	.296	85	-3	+0	+0	-2	+4	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB 50%	PHI	392	350	80	14	2	8	36	105	3	31	7	.229	.306	.349	.654	.120	.300	27	9	.294	83	-7	+3	+1	-4	+11	0.4
2028	29	MLB 58%	PHI	390	348	79	14	2	8	36	104	3	30	7	.227	.305	.348	.653	.121	.299	27	9	.294	83	-7	+3	-0	-4	+11	0.3
2029	30	MLB 68%	PHI	388	346	78	14	2	8	36	104	3	29	6	.225	.304	.347	.651	.121	.297	27	9	.292	82	-8	+3	-1	-4	+11	0.2
2030	31	MLB 77%	PHI	373	333	75	14	2	7	34	101	3	26	6	.225	.303	.342	.645	.117	.296	27	9	.289	80	-9	+3	-2	-4	+11	-0.1
2031	32	MLB 84%	PHI	354	317	70	13	2	6	32	98	2	23	5	.221	.296	.331	.628	.110	.294	28	9	.285	76	-10	+3	-2	-4	+10	-0.3
2032	33	MLB 91%	PHI	324	289	62	11	1	6	30	92	2	20	4	.215	.293	.322	.615	.107	.293	28	9	.279	72	-10	+2	-3	-3	+9	-0.5
2033	34	MLB	PHI	280	251	52	9	1	4	25	82	2	16	3	.207	.284	.299	.583	.092	.291	29	9	.273	67	-10	+2	-4	-3	+8	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			4987	4426	961	167	34	80	456	1470	40	478	106	.217	.296	.324	.620	.107	.303	29	9	.278	71	-166	+53	-7	-47	+141	-2.6
/ 162G	—			650	577	125	22	4	10	59	192	5	62	14	.217	.294	.321	.615	.104	.303	30	9	.278	71	-22	+7	-1	-6	+18	-0.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2017	18	ROK	DSL Blue Jays	221	188	49	3	7	1	25	49	3	20	12	.261	.356	.367	.724	.106	.340	22	11	.322	105	+1	-1	—	—	+6	0.7
2018	19	ROK	GCL Blue Jays	167	142	40	9	1	0	23	36	1	17	6	.282	.386	.359	.745	.077	.377	22	14	.342	120	+4	+1	—	—	+5	1.0
2021	22	A	Dunedin Blue Jays	333	278	68	12	5	7	50	76	1	55	9	.245	.362	.399	.761	.155	.311	23	15	.341	119	+7	+7	—	—	+9	2.4
2022	23	AA	New Hampshire Fisher Cats	60	55	10	0	1	1	5	17	0	7	0	.182	.250	.273	.523	.091	.243	28	8	.240	42	-4	+1	—	—	+2	-0.1
2022	23	A+	Vancouver Canadians	255	215	47	11	6	6	33	67	4	40	7	.219	.333	.409	.743	.191	.285	26	13	.329	110	+3	+5	—	—	+7	1.6
2023	24	AAA	Buffalo Bisons	54	45	7	3	0	0	7	13	1	4	0	.156	.283	.222	.505	.067	.219	24	13	.242	44	-3	+1	—	—	+2	-0.1
2023	24	AA	New Hampshire Fisher Cats	396	324	88	21	2	7	57	106	2	43	10	.272	.384	.414	.797	.142	.377	27	14	.350	126	+12	+5	—	—	+11	2.8
2023	24	INTL	Leones del Escogido	17	16	2	0	0	0	1	7	0	6	0	.125	.176	.125	.301	.000	.222	41	6	.148	-29	-2	+1	—	—	+0	-0.1
2024	25	MLB	Toronto Blue Jays	45	37	7	1	0	0	8	14	0	6	2	.189	.333	.216	.550	.027	.304	31	18	.273	67	-2	+0	+3	-4	+1	-0.2
2024	25	AAA	Buffalo Bisons	300	260	73	9	3	10	35	71	3	34	8	.281	.372	.454	.826	.173	.350	24	12	.367	139	+13	+4	—	—	+8	2.6
2024	25	INTL	Leones del Escogido	71	53	12	0	0	0	15	11	0	12	1	.226	.397	.226	.623	.000	.286	15	21	.300	88	-1	+2	—	—	+2	0.3
2025	26	AAA	Nashville Sounds	310	256	63	13	0	2	43	79	1	31	9	.246	.357	.320	.677	.074	.335	25	14	.307	93	-3	+3	—	—	+9	0.9
2025	26	A+	Wisconsin Timber Rattlers	29	21	3	1	1	0	6	6	2	3	0	.143	.379	.286	.665	.143	.200	21	21	.326	108	+0	+1	—	—	+1	0.2
2025	26	INTL	Aguilas Cibaenas	131	106	30	8	0	3	19	26	3	17	2	.283	.406	.443	.850	.160	.342	20	15	.375	145	+7	+3	—	—	+4	1.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			45	37	7	1	0	0	8	14	0	6	2	.189	.333	.216	.550	.027	.304	31	18	.273	67	-2	+0	+3	-4	+1	-0.2

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
Steward Berroa (OGILVIE)	27	45	35	60	60	.214/.294/.316	.102	.306	2	13	31%	9%	73	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Forrest Wall 2023 · AAA	27	46→56	38→45	64→70	39	.213/.271/.295	.082	.319	5	46	33%	6%	56	-1.3	.244/.310/.351	.107	.341	9	47	29%	8%	87	+0.8	.260/.332/.371	.111	.354	9	50	27%	9%	98	+1.0
✕Dwaine Bacon 2006 · AAA	27	49	38→40	62→65	44	.221/.295/.310	.089	.336	5	37	33%	8%	70	-0.3	.208/.271/.305	.097	.292	7	34	29%	7%	59	-1.1	.186/.246/.280	.094	.249	7	40	27%	7%	38	-1.7
✕Eric Young Jr. 2011 · MLB	26	52→60	38→45	62→65	49	.247/.313/.333	.086	.308	5	43	21%	8%	83	+0.6	.258/.328/.348	.090	.318	5	42	18%	9%	93	+1.3	.265/.336/.357	.092	.321	3	47	17%	9%	97	+1.1
✕Quintin Berry 2013 · MLB	28	50→58	38→40	62→65	46	.233/.303/.314	.081	.319	6	37	27%	8%	75	-0.0	.223/.295/.294	.071	.303	5	34	26%	8%	66	-0.6	.228/.296/.280	.052	.311	3	37	26%	8%	60	-0.7
✕Rico Noel 2016 · AAA	27	47→54	35→30	61→65	43	.219/.282/.275	.056	.305	2	43	28%	7%	56	-1.3	.201/.250/.279	.078	.288	6	30	31%	5%	43	-2.2	.181/.217/.249	.069	.263	5	29	32%	3%	17	-1.0
✕Nick Heath 2020 · AAA	26	45→38	39→40	63→65	40	.206/.267/.291	.085	.334	7	43	38%	8%	53	-1.5	.198/.267/.301	.103	.336	9	36	40%	8%	56	-1.3	.172/.253/.274	.102	.308	8	36	43%	8%	41	-1.0
✕Rich Thompson 2006 · AAA	27	49→59	39→45	66→65	45	.233/.288/.320	.087	.281	6	42	19%	6%	69	-0.4	.247/.307/.343	.096	.302	5	29	19%	6%	83	+0.6	.266/.316/.370	.104	.324	4	44	18%	5%	90	+0.8
✕Jeff Kobernus 2014 · MLB	26	55→61	37→40	62→65	41	.262/.296/.334	.072	.325	4	42	20%	4%	76	+0.0	.236/.285/.307	.071	.301	5	31	22%	6%	64	-0.8	.209/.261/.259	.049	.276	3	28	24%	6%	40	-1.0
✕Mel Stocker 2009 · AAA	28	52	36→40	66→65	45	.241/.291/.317	.076	.295	2	40	18%	5%	69	-0.4	.228/.286/.316	.088	.277	4	35	18%	6%	68	-0.5	.215/.280/.305	.090	.260	3	44	17%	6%	59	-0.6
✕Terrance Gore 2018 · AAA	27	47→40	34→30	66→70	42	.220/.270/.267	.047	.293	2	46	25%	6%	47	-1.9	.201/.263/.264	.063	.287	3	41	29%	7%	45	-2.1	.174/.251/.219	.044	.264	0	60	31%	8%	25	-0.9
✕Zach Davis 2022 · AAA	28	47→53	37→30	58→65	40	.217/.273/.285	.068	.315	4	35	31%	6%	54	-1.4	.216/.285/.285	.069	.324	4	42	32%	7%	60	-1.0	.220/.298/.258	.038	.332	0	78	30%	7%	56	-0.4
✕Darin Mastroianni 2014 · MLB	28	48→58	38→40	61→60	47	.227/.290/.307	.080	.288	5	34	22%	7%	67	-0.5	.222/.273/.298	.076	.284	5	25	22%	6%	57	-1.2	.220/.268/.286	.066	.279	4	24	21%	5%	48	-1.3
✕Boomer Whiting 2010 · A	26	47→51	37→30	59→65	46	.221/.287/.293	.071	.295	5	37	25%	7%	63	-0.9	.219/.293/.280	.061	.310	2	37	27%	8%	62	-0.9	.226/.311/.272	.045	.327	0	49	27%	9%	63	-0.6
✕Roemon Fields 2018 · AAA	27	50→57	35→30	61→60	42	.232/.274/.292	.060	.299	2	39	23%	5%	56	-1.3	.226/.276/.291	.065	.295	3	31	23%	6%	56	-1.3	.217/.272/.271	.054	.283	3	30	23%	6%	48	-1.1
✕John Andreoli 2016 · AAA	26	49→57	38→45	62→60	47	.227/.293/.309	.082	.306	4	34	26%	8%	69	-0.4	.214/.292/.325	.111	.309	9	30	31%	9%	73	-0.1	.210/.292/.324	.114	.306	9	29	32%	10%	70	-0.3
✕Ezequiel Carrera 2014 · MLB	27	52→62	39→45	62→60	45	.247/.295/.337	.090	.302	5	35	20%	6%	76	+0.1	.253/.306/.351	.098	.311	8	32	20%	6%	85	+0.7	.257/.324/.357	.100	.321	11	15	22%	8%	91	+0.6
✕Jovanny Rosario 2012 · AAA	27	48→52	39→40	60	42	.230/.267/.316	.085	.277	6	32	20%	4%	59	-1.1	.247/.290/.344	.097	.323	6	29	24%	5%	76	+0.0	.277/.317/.375	.098	.387	2	39	27%	5%	91	+0.4
✕Chase d'Arnaud 2014 · MLB	27	44→49	41→45	61→60	42	.214/.259/.315	.101	.269	7	33	23%	5%	56	-1.3	.217/.263/.306	.089	.269	6	29	21%	5%	56	-1.3	.229/.293/.350	.121	.292	11	26	24%	7%	77	+0.1
✕Lane Adams 2017 · AAA	27	45	45→50	58→60	41	.223/.277/.341	.118	.297	12	31	29%	6%	71	-0.3	.212/.269/.342	.130	.316	14	30	35%	7%	68	-0.5	.190/.254/.328	.139	.294	16	28	39%	7%	55	-0.7
✕James Jones 2016 · MLB	27	50→52	39→45	64→60	45	.237/.285/.330	.093	.297	4	33	21%	6%	69	-0.4	.219/.271/.311	.092	.313	6	23	30%	6%	60	-1.0	.197/.246/.273	.075	.314	5	20	37%	5%	36	-1.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)