Errol Robinson — OGILVIE

Errol RobinsonSS Norfolk Tides

Age 31 R/R 5'10" / 170 lbs AAA HR +8%BB -5% Svc 0.0 · Ctrl thru 2033

wRC+†56

AVG/OBP/SLG.203 / .271 / .290

PA188

HR2

SB5

K%30

BB%8

MLB%10%

trajectory · 10 yrs

-0.2peak

2026

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Arb-1	$0.8M	—	—	—
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$-5M		$-5M	+$0.0M

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
2016	21	ROK	Ogden Raptors	243	227	49	12	1	1	10	61	2	18	2	.216	.255	.291	.546	.075	.287	25	4	.240	42	-16	+3	+0	+3	+7	-0.4
2017	22	AA	3 teams	420	387	88	14	4	5	27	117	2	22	5	.227	.281	.323	.604	.096	.309	28	6	.269	64	-17	+2	+0	+4	+12	0.2
2018	23	AA	2 teams	530	496	104	13	1	9	28	155	4	21	9	.210	.258	.294	.552	.085	.284	29	5	.243	44	-33	+1	+0	+6	+15	-1.2
2019	24	AAA	2 teams	391	361	75	11	0	4	26	104	3	9	6	.208	.267	.271	.538	.064	.280	27	7	.245	46	-24	-1	+0	+4	+11	-0.9
2021	26	AAA	2 teams	223	201	32	6	1	1	21	85	1	7	4	.159	.242	.214	.456	.055	.270	38	9	.210	19	-20	-0	+0	+2	+6	-1.2
2022	27	AA	Springfield Cardinals	145	127	30	4	0	1	17	54	1	12	3	.236	.331	.291	.622	.055	.403	37	12	.277	70	-5	+1	+0	+2	+4	0.2
2023	28	AAA	2 teams	291	265	51	7	1	2	21	100	4	9	2	.192	.262	.249	.511	.057	.299	34	7	.230	34	-22	+1	+0	+3	+8	-1.0
2024	29	AAA	Norfolk Tides	171	155	31	6	0	1	14	52	0	12	3	.200	.266	.258	.524	.058	.291	30	8	.235	38	-12	+1	+0	+2	+5	-0.4
▸ 2026 Season
2026	31	MLB	BAL	188	170	35	7	1	2	15	57	1	5	1	.206	.274	.294	.568	.088	.290	30	8	.259	56	-9	+1	+0	+2	+5	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB 20%	BAL	172	155	32	6	1	2	14	52	1	4	1	.206	.276	.297	.573	.090	.289	30	8	.261	58	-8	+0	-4	+2	+5	-0.5
2028	33	MLB 33%	BAL	155	141	29	5	1	2	12	47	1	3	1	.206	.273	.298	.571	.092	.288	30	8	.260	57	-7	+0	-4	+2	+4	-0.6
2029	34	MLB 43%	BAL	123	111	22	4	0	2	10	38	1	2	0	.198	.270	.288	.559	.090	.287	31	8	.257	55	-6	+0	-5	+1	+3	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			3052	2796	578	95	11	32	215	922	21	124	37	.207	.268	.283	.551	.076	.294	30	7	.247	48	-181	+10	-13	+33	+86	-6.6
/ 162G	—			650	595	123	20	2	7	46	196	4	26	8	.207	.268	.282	.550	.076	.294	30	7	.247	48	-39	+2	-3	+7	+18	-1.4

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
2016	21	ROK	Ogden Raptors	243	220	62	17	1	2	17	42	2	18	2	.282	.339	.395	.734	.114	.337	17	7	.325	107	+2	+3	—	—	+7	1.2
2017	22	AA	Tulsa Drillers	258	227	62	8	2	2	29	50	1	11	3	.273	.358	.352	.710	.079	.341	19	11	.325	107	+2	+1	—	—	+7	1.1
2017	22	A+	Rancho Cucamonga Quakes	76	70	20	4	3	2	5	17	1	5	1	.286	.342	.514	.856	.229	.353	22	7	.373	143	+4	+1	—	—	+2	0.7
2017	22	A	Great Lakes Loons	86	77	19	5	1	3	6	21	0	6	1	.247	.301	.455	.756	.208	.286	24	7	.320	103	+0	+1	—	—	+2	0.4
2018	23	AA	Tulsa Drillers	475	433	107	14	1	10	37	104	3	18	9	.247	.311	.353	.664	.106	.302	22	8	.300	88	-6	+0	—	—	+13	0.7
2018	23	INTL	Glendale Desert Dogs	55	47	9	1	1	0	7	16	1	3	0	.191	.309	.255	.564	.064	.290	29	13	.270	65	-2	+1	—	—	+2	-0.0
2019	24	AAA	Oklahoma City Dodgers	214	191	42	9	0	2	21	45	2	3	2	.220	.304	.298	.602	.079	.278	21	10	.280	72	-7	-0	—	—	+6	-0.1
2019	24	AA	Tulsa Drillers	177	155	48	5	0	3	20	35	1	6	4	.310	.392	.400	.792	.090	.381	20	11	.359	133	+7	-0	—	—	+5	1.1
2021	26	AAA	Louisville Bats	119	102	18	4	1	1	17	33	0	2	1	.176	.294	.265	.559	.088	.250	28	14	.265	61	-5	+0	—	—	+3	-0.2
2021	26	AA	Chattanooga Lookouts	104	89	19	4	0	0	14	34	1	5	3	.213	.327	.258	.585	.045	.345	33	13	.281	73	-3	-0	—	—	+3	-0.0
2022	27	AA	Springfield Cardinals	145	119	32	4	0	1	25	42	1	12	3	.269	.400	.328	.728	.059	.408	29	17	.344	121	+3	+1	—	—	+4	0.9
2023	28	AAA	Memphis Redbirds	148	126	28	6	1	0	21	39	1	5	2	.222	.338	.286	.624	.063	.322	26	14	.295	84	-3	+0	—	—	+4	0.2
2023	28	AA	Springfield Cardinals	143	129	30	2	0	2	10	40	3	4	0	.233	.303	.295	.597	.062	.318	28	7	.276	69	-5	+1	—	—	+4	-0.0
2024	29	AAA	Norfolk Tides	171	149	31	7	0	1	20	48	0	12	3	.208	.302	.275	.577	.067	.297	28	12	.268	63	-7	+1	—	—	+5	-0.1

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
Errol Robinson (OGILVIE)	31	—	—	—	—	.203/.271/.290	.087	.290	2	5	30%	8%	56	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Eric Stamets 2022 · MLB	30	37→47	43→45	55→50	41	.189/.250/.298	.109	.260	11	14	31%	6%	49	-1.8	.188/.258/.305	.117	.268	13	13	33%	7%	55	-1.4	.146/.225/.246	.100	.213	12	16	36%	6%	24	-1.3
✕Jack Reinheimer 2023 · AAA	31	43→51	40	55	40	.209/.262/.297	.088	.290	8	20	30%	6%	53	-1.5	.186/.232/.268	.082	.274	7	16	33%	5%	33	-2.9	.143/.180/.193	.050	.195	3	12	28%	4%	-11	-1.3
✕Ryan Budde 2011 · AAA	31	39	40→45	46→40	40	.192/.248/.279	.087	.282	8	6	33%	6%	43	-2.2	.190/.254/.277	.087	.296	8	7	36%	7%	45	-2.1	.161/.232/.232	.070	.255	7	4	37%	8%	23	-1.4
✕Pete Kozma 2019 · MLB	31	39→46	37→40	47→50	41	.189/.233/.265	.076	.239	5	10	23%	5%	32	-3.0	.206/.258/.313	.107	.251	9	7	21%	6%	55	-1.4	.197/.250/.291	.094	.245	8	5	22%	6%	44	-1.5
✕Jack López 2023 · MLB	30	38→44	41→45	54→55	33	.191/.233/.290	.099	.290	9	19	36%	4%	39	-2.5	.207/.250/.324	.117	.300	12	16	34%	5%	55	-1.4	.207/.250/.317	.110	.296	12	15	33%	4%	50	-1.2
✕Yamid Haad 2009 · AAA	31	42	41→45	47→40	41	.206/.252/.299	.093	.261	9	7	25%	5%	49	-1.8	.226/.265/.331	.105	.288	10	5	24%	5%	63	-0.9	.236/.274/.340	.104	.296	10	2	23%	5%	67	-0.3
✕Gookie Dawkins 2010 · AAA	31	42→48	40→45	46→50	38	.205/.249/.293	.088	.279	8	11	29%	5%	46	-2.0	.202/.254/.323	.121	.289	13	9	33%	6%	57	-1.2	.190/.246/.324	.135	.270	15	8	34%	6%	51	-0.9
✕Ali Solis 2019 · AAA	31	40	42→45	46→30	34	.201/.236/.300	.100	.285	10	6	33%	4%	42	-2.3	.210/.246/.358	.148	.285	19	6	33%	4%	63	-0.9	.196/.230/.353	.157	.249	23	3	32%	4%	51	-1.0
✕Deven Marrero 2021 · MLB	30	39→48	44→45	53→50	41	.199/.251/.311	.112	.272	12	12	31%	6%	52	-1.6	.211/.271/.328	.117	.293	14	10	31%	7%	65	-0.7	.198/.263/.297	.099	.273	13	8	31%	8%	50	-0.6
✕Chris Rabago 2022 · AAA	29	40	40	47→55	44	.195/.262/.284	.089	.273	9	13	30%	8%	50	-1.7	.197/.263/.291	.094	.306	9	10	36%	7%	53	-1.5	.156/.228/.224	.068	.265	5	5	40%	6%	17	-1.2
✕Joe Hudson 2022 · MLB	31	36	44→45	47→40	39	.188/.240/.299	.111	.269	13	5	35%	6%	44	-2.1	.203/.283/.350	.147	.288	19	8	34%	9%	77	+0.1	.183/.287/.336	.152	.261	22	8	36%	11%	73	-0.0
✕Drew Butera 2015 · MLB	31	40	41→40	47→40	45	.197/.258/.296	.099	.244	9	4	23%	7%	52	-1.6	.220/.278/.337	.117	.275	12	4	24%	7%	70	-0.3	.231/.283/.345	.114	.291	12	0	24%	6%	72	-0.1
✕Mike Nickeas 2014 · MLB	31	40	39→40	44→40	45	.196/.252/.282	.086	.240	7	4	21%	6%	45	-2.1	.205/.260/.300	.095	.257	10	7	23%	6%	53	-1.5	.189/.243/.247	.058	.232	9	3	22%	7%	32	-0.9
✕David Matranga 2008 · AAA	31	40	46→45	50	43	.204/.272/.327	.122	.263	14	12	28%	7%	66	-0.6	.217/.291/.342	.125	.292	13	9	29%	8%	78	+0.2	.211/.297/.329	.119	.288	12	5	29%	9%	75	+0.0
✕Paul Hoover 2007 · AAA	31	45	42→45	47→45	43	.220/.276/.329	.109	.284	9	8	25%	6%	67	-0.5	.224/.273/.335	.111	.300	10	6	27%	6%	67	-0.5	.218/.267/.314	.096	.299	8	2	28%	6%	57	-0.5
✕Alex Prieto 2007 · MLB	31	44	41→40	44→45	45	.215/.266/.309	.094	.269	9	9	23%	6%	57	-1.2	.219/.271/.326	.107	.269	9	9	21%	6%	64	-0.8	.219/.273/.332	.112	.262	8	5	19%	6%	61	-0.3
✕Dusty Coleman 2018 · MLB	31	39→43	47→50	51→50	35	.198/.251/.338	.139	.298	15	14	38%	5%	59	-1.1	.171/.223/.301	.130	.330	15	12	50%	5%	39	-2.5	.114/.167/.218	.104	.254	13	11	58%	5%	-9	-3.2
✕Chris Truby 2005 · MLB	31	46→43	42→50	47→45	41	.225/.266/.334	.109	.285	9	6	24%	5%	64	-0.8	.207/.256/.347	.140	.255	17	6	25%	6%	64	-0.8	.186/.235/.317	.131	.228	16	6	26%	6%	45	-1.4
✕Kevin Cash 2009 · MLB	31	38	43→40	43→30	44	.192/.265/.301	.108	.271	11	4	32%	8%	56	-1.3	.205/.274/.307	.102	.277	11	4	28%	8%	61	-1.0	.187/.262/.263	.076	.246	8	0	26%	8%	41	-0.8
✕Horacio Vasquez 2016 · AAA	30	44	39→40	47→40	39	.213/.252/.293	.080	.278	7	8	26%	4%	47	-1.9	.226/.256/.302	.076	.291	6	9	24%	4%	50	-1.7	.245/.256/.277	.032	.313	0	6	21%	2%	42	-0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)