Miguel Rodríguez

C Delmarva Shorebirds

Age 21 R/R 5'11" / 160 lbs A HR +9% Svc 0.0 · Ctrl thru 2034

Overview

APROSPECTMiLBFA 2035

OGV OFP40OGV rank#157ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	A/ROKBAL	240	.274/.390/.381	4	5	78	—	.226/.318/.303
2025	19	ABAL	42	.206/.357/.265	0	0	60	—	.194/.310/.250
2026	20	A/ROK/INTL2 orgs	298	.257/.390/.340	2	6	82	—	.236/.342/.304
2027PROJMLE	21	MLBBAL	385	.236/.327/.328	4	4	89	0.6
2028PROJ31% MLB	22	MLBBAL	67	.244/.334/.352	1	1	95	0.3
2029PROJ48% MLB	23	MLBBAL	146	.248/.337/.365	2	1	98	0.6

Next 3 projected WAR 1.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$4M2033Arb-2$7M2034Arb-3$10M

Skills · percentileMiLB Statcast 2026 A

K%97

Whiff%97

Z-Con%95

Chase%90

BB%82

wRC+76

Career WAR0.0 WAR median (P10 -0.1 / P90 4.6, comp-based) · star 1% · didn't stick 90%

CompsDaniel Robertson (age 20) · Noah Mendlinger (age 21) · Wilfredo Rodriguez (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 164 proj PA

wRC+†89

AVG/OBP/SLG.234 / .324 / .325

PA164

HR2

K%19

BB%10

ISO92

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$27M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Pre-Arb	$0.8M	+0.9	$3M	+$2M
2031	Pre-Arb	$0.9M	+1.1	$6M	+$6M
2032	Arb-1	$4M	+1.2	$7M	+$4M
2033	Arb-2	$7M	+1.2	$6M	+$2M
2034	Arb-3	$10M	+1.1	$5M	+$0.4M
Totals		$24M		$29M	+$16M

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 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 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 1-3 WAR low.

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)
2023	17	ROK	DSL Orioles Black	—	131	96	31	6	0	0	24	13	9	6	4	323	496	385	882	62	365	10	18	410	83	—	—	—	—	—	—
2024	18	A	Delmarva Shorebirds	—	78	64	13	3	0	1	10	9	2	2	0	203	329	297	626	94	214	12	13	289	57	—	—	—	—	—	—
2024	18	ROK	FCL Orioles	—	162	133	41	6	0	3	20	18	6	3	4	308	419	421	840	113	336	11	12	378	88	—	—	—	—	—	—
2025	19	A	Delmarva Shorebirds	—	42	34	7	2	0	0	6	4	2	0	1	206	357	265	622	59	233	10	14	304	60	—	—	—	—	—	—
2026	20	A	Delmarva Shorebirds	—	246	194	53	9	0	2	40	27	8	5	1	273	416	351	766	77	304	11	16	356	92	—	—	—	—	—	—
2026	20	ROK	FCL Orioles	—	29	26	5	3	0	0	3	1	0	0	0	192	276	308	584	115	200	3	10	267	13	—	—	—	—	—	—
2026	20	INTL	Salt River Rafters	—	23	21	4	2	0	0	1	5	1	1	0	190	261	286	547	95	250	22	4	253	57	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Orioles Black	—	131	102	22	4	0	0	18	15	9	6	4	216	380	255	635	39	236	11	14	291	83	—	—	—	—	—	—
2024	18	A MLE	Delmarva Shorebirds	—	78	67	12	2	0	1	7	12	2	2	0	179	276	254	530	75	201	15	9	252	57	—	—	—	—	—	—
2024	18	ROK MLE	FCL Orioles	—	162	141	35	5	0	2	13	25	6	3	4	248	338	326	664	78	280	15	8	298	88	—	—	—	—	—	—
2025	19	A MLE	Delmarva Shorebirds	—	42	36	7	2	0	0	4	5	2	0	1	194	310	250	560	56	222	12	10	257	60	—	—	—	—	—	—
2026	20	A MLE	Delmarva Shorebirds	—	246	207	51	8	0	2	28	37	8	5	1	246	358	314	672	68	281	15	11	304	92	—	—	—	—	—	—
2026	20	ROK MLE	FCL Orioles	—	29	27	4	2	0	0	2	1	0	0	0	148	207	222	429	74	150	3	7	188	13	—	—	—	—	—	—
2023	17	ROK MLE	DSL Orioles Black	—	131	102	22	4	0	0	18	15	9	6	4	216	380	255	635	39	247	11	14	291	83	—	—	—	—	—	—
2023	17	ROK RAW	DSL Orioles Black	—	131	96	31	6	0	0	24	13	9	6	4	323	496	385	882	62	365	10	18	410	83	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	240	208	47	7	0	3	20	37	8	5	4	226	318	303	621	77	257	15	8	283	78	—	—	—	—	—	—
2024	18	ROK RAW	2 teams	—	240	197	54	9	0	4	30	27	8	5	4	274	390	381	771	107	296	11	12	349	78	—	—	—	—	—	—
2025	19	A MLE	Delmarva Shorebirds	—	42	36	7	2	0	0	4	5	2	0	1	194	310	250	560	56	226	12	10	257	60	—	—	—	—	—	—
2025	19	A RAW	Delmarva Shorebirds	—	42	34	7	2	0	0	6	4	2	0	1	206	357	265	622	59	233	10	14	304	60	—	—	—	—	—	—
2026	20	A MLE	3 teams	—	298	254	60	11	0	2	32	41	9	6	1	236	342	303	646	67	271	14	11	292	84	—	—	—	—	—	—
2026	20	A RAW	3 teams	—	298	241	62	14	0	2	44	33	9	6	1	257	390	340	730	83	287	11	15	339	84	—	—	—	—	—	—
2023	17	ROK MLE	DSL Orioles Black	—	131	103	22	4	0	0	18	15	9	6	4	214	380	252	632	39	236	11	14	291	83	—	—	—	—	—	—
2024	18	ROK MLE	2 teams	—	240	210	47	7	0	3	20	37	8	5	4	224	318	300	618	76	254	15	8	283	78	—	—	—	—	—	—
2025	19	A MLE	Delmarva Shorebirds	—	42	36	7	2	0	0	4	5	2	0	1	194	310	250	560	56	222	12	10	257	60	—	—	—	—	—	—
2026	20	A MLE	3 teams	—	298	255	60	11	0	2	32	41	9	6	1	235	342	302	644	67	267	14	11	292	84	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	2 teams	—	240	210	47	7	0	3	20	37	8	5	4	224	318	300	618	76	254	15	8	283	78	—	—	—	—	—	—
2025	19	A MLE	Delmarva Shorebirds	—	42	36	7	2	0	0	4	5	2	0	1	194	310	250	560	56	222	12	10	257	60	—	—	—	—	—	—
2026	20	A MLE	3 teams	—	298	255	60	11	0	2	32	41	9	6	1	235	342	302	644	67	267	14	11	292	84	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	BAL	0%	385	336	80	16	2	4	39	71	7	4	1	236	327	328	655	92	286	18	10	300	89	-5	+0	-0	+7	+8	0.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	BAL	31%	214	186	45	9	1	3	22	39	4	2	1	241	331	345	676	105	287	18	10	308	95	-1	+0	+0	+4	+5	0.7
2029	23	MLB MLE	BAL	48%	305	266	65	13	1	5	31	56	5	2	1	244	333	357	691	114	288	18	10	314	98	-1	+0	+1	+5	+7	1.2
2030	24	MLB MLE	BAL	55%	374	328	81	16	2	7	37	69	6	2	1	246	335	366	700	120	289	18	10	317	101	+0	+0	+1	+7	+8	1.6
2031	25	MLB MLE	BAL	59%	411	360	89	17	2	8	41	76	7	2	0	246	335	370	705	124	290	18	10	318	102	+1	+0	+1	+7	+9	1.9
2032	26	MLB MLE	BAL	61%	432	379	93	18	2	8	43	81	7	1	0	246	334	372	706	126	290	19	10	319	102	+1	+0	+1	+8	+9	2.0
2033	27	MLB MLE	BAL	61%	439	385	93	18	2	8	44	83	7	1	0	245	333	369	702	124	289	19	10	317	101	+0	+0	+1	+8	+10	2.0
2034	28	MLB MLE	BAL	61%	438	384	93	18	2	8	44	84	7	1	0	243	331	364	695	121	288	19	10	315	99	-1	+0	+1	+8	+9	1.8
2035	29	MLB MLE	BAL	60%	428	377	91	18	2	8	42	83	6	1	0	241	328	358	686	117	287	19	10	311	97	-2	+0	-0	+8	+9	1.5
2036	30	MLB MLE	BAL	59%	417	367	88	17	2	7	41	82	6	1	0	237	324	350	674	112	285	20	10	306	93	-3	+0	-1	+7	+9	1.3
2037	31	MLB MLE	BAL	59%	382	337	78	15	1	6	37	77	5	1	0	233	319	340	659	106	282	20	10	300	89	-5	+0	-2	+7	+8	0.9
2038	32	MLB MLE	BAL	64%	345	304	69	13	1	5	33	71	5	1	0	228	313	327	640	99	278	21	10	292	84	-7	+0	-3	+6	+7	0.5
2039	33	MLB MLE	BAL	68%	294	260	58	11	1	4	28	62	4	0	0	221	306	311	617	90	273	21	10	283	78	-8	+0	-3	+5	+6	0.0
2028	22	MLB CTX	BAL	31%	67	59	14	3	0	1	7	12	1	1	0	244	334	352	687	108	291	18	10	312	95	-0	+0	+0	+1	+1	0.3
2029	23	MLB CTX	BAL	48%	146	128	31	6	1	2	15	27	2	1	0	248	337	365	702	118	293	18	10	318	98	-0	+0	+0	+3	+3	0.6
2030	24	MLB CTX	BAL	55%	205	179	45	9	1	4	21	38	3	1	0	250	338	374	712	124	294	19	10	321	101	+0	+0	+1	+4	+4	0.9
2031	25	MLB CTX	BAL	59%	242	212	53	10	1	5	24	45	4	1	0	250	338	378	716	128	294	19	10	323	102	+0	+0	+1	+4	+5	1.1
2032	26	MLB CTX	BAL	61%	265	233	57	11	1	5	26	50	4	1	0	250	337	380	718	130	294	19	10	323	102	+1	+0	+1	+5	+6	1.2
2033	27	MLB CTX	BAL	61%	269	236	59	12	1	5	27	51	4	1	0	249	336	378	714	128	293	19	10	322	101	+0	+0	+1	+5	+6	1.2
2034	28	MLB CTX	BAL	61%	269	236	57	11	1	5	27	51	4	0	0	247	334	372	707	125	292	19	10	319	99	-0	+0	+0	+5	+6	1.1
2035	29	MLB CTX	BAL	60%	257	226	55	11	1	5	25	50	4	0	0	244	331	366	697	121	291	19	10	315	97	-1	+0	-0	+5	+6	0.9
2036	30	MLB CTX	BAL	59%	247	217	52	10	1	4	24	49	4	0	0	241	328	357	685	116	289	20	10	310	93	-2	+0	-1	+4	+5	0.7
2037	31	MLB CTX	BAL	59%	224	197	47	9	1	4	22	45	3	0	0	237	323	347	670	110	286	20	10	304	89	-3	+0	-1	+4	+5	0.5
2038	32	MLB CTX	BAL	64%	220	194	45	9	1	3	21	45	3	0	0	231	316	334	650	102	282	20	10	296	84	-4	+0	-2	+4	+5	0.3
2039	33	MLB CTX	BAL	68%	200	176	40	7	1	3	19	42	3	0	0	224	309	318	626	94	277	21	10	287	78	-5	+0	-2	+4	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2611	2293	555	108	11	46	258	505	39	6	0	242	329	359	688	117	290	19	10	313	93	-15	+1	-2	+47	+57	8.9
/ 162G	—	A+C		—	650	571	138	27	3	11	64	126	10	1	0	242	329	357	686	116	291	19	10	313	93	-4	+0	-1	+12	+14	2.2
Career	—	MLE		—	5354	4677	1114	214	20	84	533	991	100	34	14	238	329	346	675	108	284	19	10	306	93	-26	+2	-3	+83	+101	15.9
/ 162G	—	MLE		—	650	568	135	26	2	10	65	120	12	4	2	238	329	343	673	106	283	18	10	306	93	-4	+0	-0	+12	+14	2.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ADelmarva Shorebirds · 246 PAwOBA .352 → .304 (−48)K% 11.0% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.98%	÷1.000	×1.360	—	—	14.93%
BB% (unintentional) /PA	16.26%	÷1.000	×0.690	—	×1.015	11.39%
HBP% /PA	3.25%	—	×0.780	—	×1.015	2.57%
Singles /BIP	25.15%	÷1.000	×0.920	×1.009	×1.015	23.71%
Doubles /BIP	5.39%	÷1.000	×0.830	×1.009	×1.015	4.58%
Triples /BIP	0.00%	÷1.000	×0.910	×1.009	×1.015	0.00%
Home runs /BIP	1.20%	÷1.000	×0.800	—	×1.015	0.97%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .352 → .304; ISO .077 → .068; BABIP .304 → .281. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 ROKFCL Orioles · 29 PAwOBA .261 → .188 (−73)K% 3.4% → 5.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	3.45%	÷1.000	×1.440	—	—	4.97%
BB% (unintentional) /PA	10.34%	÷1.000	×0.620	—	×0.985	6.32%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	8.00%	÷1.000	×0.820	—	×0.985	6.46%
Doubles /BIP	12.00%	÷1.000	×0.720	—	×0.985	8.51%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.985	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .261 → .188; ISO .115 → .084; BABIP .200 → .150. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ADelmarva Shorebirds · 42 PAwOBA .297 → .257 (−40)K% 9.5% → 13.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.52%	÷0.993	×1.360	—	—	13.04%
BB% (unintentional) /PA	14.29%	÷1.007	×0.690	—	×1.030	10.08%
HBP% /PA	4.76%	—	×0.780	—	×1.030	3.83%
Singles /BIP	16.67%	÷0.998	×0.920	—	×1.030	15.83%
Doubles /BIP	6.67%	÷0.898	×0.830	—	×1.030	6.35%
Triples /BIP	0.00%	÷0.904	×0.910	—	×1.030	0.00%
Home runs /BIP	0.00%	÷0.899	×0.800	—	×1.030	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 100, 2B 80, 3B 81, K 99, BB 101 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average).

Result: wOBA .297 → .257; ISO .059 → .057; BABIP .233 → .222. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ROKFCL Orioles · 162 PAwOBA .371 → .298 (−73)K% 11.1% → 15.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷1.036	×1.440	—	—	15.44%
BB% (unintentional) /PA	12.35%	÷0.972	×0.620	—	×1.008	7.94%
HBP% /PA	3.70%	—	×0.720	—	×1.008	2.69%
Singles /BIP	27.83%	÷0.996	×0.820	×1.013	×1.008	23.38%
Doubles /BIP	5.22%	÷0.901	×0.720	×1.013	×1.008	4.26%
Triples /BIP	0.00%	÷1.016	×0.720	×1.013	×1.008	0.00%
Home runs /BIP	2.61%	÷0.995	×0.780	—	×1.008	2.06%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 99, 2B 80, 3B 103, K 107, BB 94 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .371 → .298; ISO .113 → .094; BABIP .336 → .280. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ADelmarva Shorebirds · 78 PAwOBA .290 → .252 (−37)K% 11.5% → 15.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.54%	÷1.035	×1.360	—	—	15.16%
BB% (unintentional) /PA	12.82%	÷0.997	×0.690	—	×1.045	9.27%
HBP% /PA	2.56%	—	×0.780	—	×1.045	2.09%
Singles /BIP	16.36%	÷0.988	×0.920	×1.033	×1.045	16.44%
Doubles /BIP	5.45%	÷1.216	×0.830	×1.033	×1.045	4.02%
Triples /BIP	0.00%	÷0.943	×0.910	×1.033	×1.045	0.00%
Home runs /BIP	1.82%	÷0.952	×0.800	—	×1.045	1.60%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 98, 2B 143, 3B 89, K 107, BB 99 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .290 → .252; ISO .094 → .079; BABIP .214 → .201. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 DSLDSL Orioles Black · 131 PAwOBA .407 → .291 (−116)K% 9.9% → 11.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.92%	÷1.040	×1.220	—	—	11.64%
BB% (unintentional) /PA	18.32%	÷0.964	×0.700	—	×1.008	13.41%
HBP% /PA	6.87%	—	×0.700	—	×1.008	4.85%
Singles /BIP	30.12%	÷1.044	×0.680	×1.015	×1.008	20.07%
Doubles /BIP	7.23%	÷1.096	×0.600	×1.015	×1.008	4.05%
Triples /BIP	0.00%	÷1.054	×0.600	×1.015	×1.008	0.00%
Home runs /BIP	0.00%	÷0.875	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 109, 2B 119, 3B 111, K 108, BB 93 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .407 → .291; ISO .062 → .039; BABIP .365 → .236. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Omar Narváezlast yr '24 career totals — 9 seasons, 2,298 PA	3.5	2,298	53	0	251	334	374	+41	+15	12.6	12.9
/162	664	15	0	+11.9	+4.3	3.6	pk7: 13
#3Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#4Damian Miller'97-'07 * career totals — 11 seasons, 3,558 PA	5.4	3,558	87	5	251*	315*	396*	+62	-0	12.5	11.6
/162	664	16	1	+11.6	-0.0	2.3	pk7: 11
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.2	2,774	47	9	240	324	354	+50	+16	11.0	9.5
/162	664	11	2	+11.9	+3.8	2.6	pk7: 8
#5Dave Rader'71-'80 * career totals — 9 seasons, 2,702 PA	4.1	2,702	30	8	254*	323*	380*	+47	+0	9.3	9.4
/162	664	7	2	+11.5	+0.0	2.3	pk7: 10
#6Mike Fitzgerald'83-'92 * career totals — 9 seasons, 2,667 PA	4.0	2,667	48	31	234*	320*	372*	+43	-1	9.5	9.3
/162	664	12	8	+10.8	-0.3	2.4	pk7: 9

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
Miguel Rodríguez (OGILVIE)	21	—	—	—	—	234/324/325	91	286	2	2	19%	10%	89	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Daniel Robertson 2014 · A	20	47→57	43→45	37→40	45	231/292/342	111	292	10	3	24%	7%	80	-0.1	252/320/366	114	316	9	3	22%	7%	96	+1.0	256/329/366	110	321	8	2	21%	8%	96	+0.9
✕Noah Mendlinger 2022 · A	21	49→59	39→30	44→45	52	232/313/323	92	294	5	6	22%	10%	84	+0.1	246/336/323	77	297	4	8	17%	9%	93	+0.8	269/354/337	68	315	2	8	14%	8%	100	+1.0
✕Wilfredo Rodriguez 2015 · A	21	54	38→40	41→50	45	256/297/334	77	300	5	4	16%	5%	79	-0.2	221/260/304	83	259	7	8	17%	4%	58	-1.7	196/223/265	69	220	8	9	15%	3%	34	-1.5
✕Mark Karaviotis 2017 · A	21	50	41→40	40	47	235/330/340	105	319	7	6	26%	8%	95	+1.0	227/303/318	91	327	7	4	30%	8%	79	-0.2	221/297/300	80	317	6	3	30%	8%	72	-0.5
✕Rossmel Perez 2011 · A	21	51→56	37→30	38→45	48	242/291/307	65	277	5	3	14%	6%	71	-0.8	247/305/305	58	276	4	6	11%	7%	76	-0.4	266/319/325	59	287	3	5	8%	6%	83	+0.1
✕Yeiner Fernandez 2024 · A	21	52→53	41→40	44→45	49	250/315/344	94	297	8	4	18%	7%	88	+0.5	228/291/299	71	271	4	6	16%	7%	70	-0.8	223/288/281	58	263	3	5	15%	6%	62	-1.0
●Taylor Green 2008 · A	21	50→56	44→50	35→30	48	244/303/366	122	289	11	2	20%	7%	89	+0.5	246/305/371	125	283	13	3	17%	7%	92	+0.7	251/309/394	143	284	14	0	17%	7%	97	+0.8
✕Jake Smolinski 2010 · A	21	49→50	44→55	39→45	48	237/299/358	121	287	10	5	21%	7%	86	+0.3	233/295/344	111	279	8	7	18%	8%	82	-0.0	238/300/392	154	271	17	6	18%	7%	94	+0.6
●Luis Campusano 2019 · A	20	49→56	39→50	40→30	43	237/284/314	77	297	7	3	22%	6%	70	-0.9	255/311/395	140	301	15	3	20%	7%	99	+1.3	260/336/420	160	301	19	1	20%	10%	113	+1.4
✕Anderson Hidalgo 2011 · A	22	50	41→45	36→50	44	241/292/344	103	305	7	5	23%	6%	80	-0.1	219/268/314	95	286	7	3	25%	6%	64	-1.3	206/257/296	90	269	7	1	25%	5%	53	-1.2
✕Orlando Mercado 2006 · A	21	45	43→45	43→40	51	223/292/332	109	259	11	5	18%	8%	78	-0.3	217/300/335	118	248	12	3	17%	10%	82	+0.0	231/324/312	81	266	7	1	15%	11%	84	+0.1
✕Victor Castillo 2007 · A	22	44	42→40	41→40	59	213/319/315	102	247	9	5	18%	12%	85	+0.2	225/278/296	71	287	6	5	22%	6%	63	-1.3	237/285/294	56	297	6	3	21%	6%	64	-0.4
●Josh Thole 2008 · A	21	50→60	34→45	41→45	50	231/299/283	52	287	2	4	19%	8%	69	-0.9	273/333/363	90	316	4	5	14%	8%	99	+1.3	291/353/392	101	328	5	4	12%	8%	113	+1.7
✕Coltyn Simmons 2006 · A	22	49	37→40	41→30	49	228/293/309	81	278	3	4	18%	7%	72	-0.7	220/288/298	78	267	5	5	18%	7%	68	-1.0	209/281/264	55	247	4	0	16%	6%	57	-0.8
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Andy Paz 2012 · A	19	47	36→40	44→45	52	220/303/284	64	270	3	8	18%	9%	72	-0.7	199/266/269	70	259	4	5	23%	8%	53	-2.1	215/270/283	69	275	5	4	23%	7%	55	-0.5
✕Roberto Pérez 2011 · A	22	44→42	39→55	43→30	50	207/295/300	93	286	6	3	27%	10%	72	-0.7	200/287/279	79	286	4	3	28%	10%	65	-1.2	227/317/370	143	299	15	1	27%	11%	95	+0.4
✕Luis Torrens 2017 · A	21	45→49	41→50	46→40	49	217/293/309	93	272	8	6	23%	8%	74	-0.6	218/269/313	95	273	7	3	22%	6%	64	-1.3	233/290/382	149	292	18	0	26%	7%	89	+0.3
✕Juan Apodaca 2007 · A	21	45→55	43→45	46→40	45	226/280/333	107	282	12	5	24%	7%	73	-0.6	226/282/328	102	292	11	5	25%	6%	73	-0.6	269/334/371	102	330	9	3	20%	8%	100	+0.7
✕Edinson Rincon 2013 · AA	22	51→56	44→45	34→30	42	253/289/374	120	305	12	2	21%	4%	86	+0.3	234/275/320	86	297	6	4	22%	5%	68	-1.0	208/261/257	49	281	2	0	25%	6%	46	-1.1

Miguel Rodríguez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps