Agustín Ramírez

C Miami Marlins

Age 25 R/R 6'1" / 210 lbs MLB HR -10%H -3% Svc 1.488 · Ctrl thru 2031

Overview

MLB40-MANPre-ArbFA 2032

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	22	AAA/AA2 orgs	548	.267/.360/.487	25	22	102	—	.243/.316/.424
2025	23	AAAMIA	80	.254/.321/.479	3	5	78	—	.205/.256/.370
2025	23	MLBMIA	585	.231/.289/.413	21	16	102	2.3
2026	24	AAA/INTL2 orgs	268	.263/.346/.441	8	18	91	—	.227/.289/.359
2026	24	MLBMIA	255	.235/.319/.354	5	4	97	1.4
2027PROJ	25	MLBMIA	266	.233/.301/.389	8	8	101	0.6
2028PROJ82% MLB	26	MLBMIA	365	.233/.301/.389	11	11	101	0.8
2029PROJ82% MLB	27	MLBMIA	365	.232/.300/.386	10	11	100	0.7

Last 3 seasons WAR 3.7 · Next 3 projected WAR 2.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.488First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$2M2030Arb-2$3M2031Arb-3$4M

Skills · percentileStatcast 2025-2026

Bat Spd90

Avg EV71

xwOBA58

Barrel%55

Speed43

Form.241/.299/.406 · rolling true talent (60d window) · proj .242/.306/.408

CompsLuis Urías (age 25) · Jonathan India (age 25) · Aledmys Díaz (age 26)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 104101vR 93

AVG/OBP/SLG.233 / .301 / .389

PA266

HR8

SB8

K%22

BB%8

BABIP276

ISO158

MLB%100%

Value2027 · WAR

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

Tools · Recent Form · Splits · ContractCON 55 / POW 55

Toolsscout grade · Statcast %ile · 2025-2026

CONTACT55

xAVG

470.249

POWER55

Barrel%

558.9

Avg EV

7190.5

Bat Spd

9076.0

EYE45

scouting grade only

SPEED45

Sprint

4327.2

Recent Formrolling true talent ⓘ

K%24%▼25% over 72 PA (60d) · proj 22%

BB%7%▼6% over 72 PA (60d) · proj 8%

ISO.165·.162 over 68 AB (60d) · proj .167

HR/BB4.9%·6.0% over 50 BBE (60d) · proj 4.4%

BABIP.287·.298 over 47 BIP (60d) · proj .286

SLASH.241/.299/.406·proj .242/.306/.408

Platoon Splits2025-2026 · 693 PA

vs LHP

vs RHP

Edge

199

494

—

wRC+

◀L

wOBA

313

301

◀L

ISO

177

175

—

BABIP

279

252

◀L

24.6%

17.8%

▶▶R

BB%

7.5%

5.5%

◀◀L

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

Status Pre-Arb

MLB Debut 2025

Service 1.488 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.7	$3M	+$2M
2028	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2029	Arb-1	$2M	+0.7	$2M	+$0.7M
2030	Arb-2	$3M	+0.5	$2M	+$0.0M (cut)
2031	Arb-3	$4M	+0.4	$1M	+$0.0M (cut)
Totals		$4M		$11M	+$5M

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)
2019	17	ROK	DSL Yankees	—	180	163	39	10	0	4	12	34	3	1	1	239	303	374	678	135	276	19	7	302	9	—	—	—	—	—	—
2021	19	ROK	FCL Yankees	—	109	91	20	10	0	4	15	33	0	0	1	220	330	462	792	242	281	30	14	340	36	—	—	—	—	—	—
2022	20	ROK	FCL Yankees	—	197	168	51	14	1	6	23	31	2	13	2	304	394	506	900	202	333	16	12	390	82	—	—	—	—	—	—
2023	21	AA	Somerset Patriots	—	139	128	27	7	0	2	10	27	1	3	0	211	273	312	586	102	253	19	7	267	47	—	—	—	—	—	—
2023	21	A+	Hudson Valley Renegades	—	121	112	43	10	0	9	8	17	1	2	0	384	430	714	1.144	330	395	14	7	493	143	—	—	—	—	—	—
2023	21	A	Tampa Tarpons	—	232	184	45	7	0	7	43	41	1	7	4	245	390	397	787	152	271	18	19	355	74	—	—	—	—	—	—
2024	22	AAA	Jacksonville Jumbo Shrimp	—	287	248	61	12	1	9	33	59	5	9	1	246	346	411	757	165	287	21	11	341	85	—	—	—	—	—	—
2024	22	AA	Somerset Patriots	—	261	228	66	14	1	16	28	43	3	13	1	289	375	570	945	281	292	16	11	407	120	—	—	—	—	—	—
2025	23	MLB	Miami Marlins	—	585	537	124	33	1	21	36	113	8	16	3	231	289	413	703	182	253	19	6	310	102	+2	+2	-6	+12	+13	2.3
2025	23	AAA	Jacksonville Jumbo Shrimp	—	80	71	18	7	0	3	7	19	0	5	0	254	321	479	799	225	294	24	9	342	78	—	—	—	—	—	—
2026	24	MLB	Miami Marlins	—	255	226	53	10	1	5	26	61	2	4	1	235	319	354	673	119	298	24	10	306	97	-1	+0	-1	+9	+6	1.4
2026	24	AAA	Jacksonville Jumbo Shrimp	—	241	213	54	14	1	7	23	52	3	17	4	254	335	427	762	174	301	22	10	338	80	—	—	—	—	—	—
2026	24	INTL	Gigantes del Cibao	—	27	23	8	0	1	1	4	5	0	1	0	348	444	565	1.010	217	412	19	15	441	185	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	840	763	177	43	2	26	62	174	10	20	4	232	298	396	694	164	266	21	7	308	95	-5	+2	-7	+21	+18	3.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2019	17	ROK MLE	DSL Yankees	—	180	167	24	6	0	2	8	41	3	1	1	144	197	216	412	72	170	23	4	182	9	—	—	—	—	—	—
2021	19	ROK MLE	FCL Yankees	—	109	97	13	6	0	3	9	47	0	0	1	134	208	289	496	155	198	43	8	222	36	—	—	—	—	—	—
2022	20	ROK MLE	FCL Yankees	—	197	177	42	11	1	4	14	45	2	13	2	237	301	379	679	141	270	23	7	289	82	—	—	—	—	—	—
2023	21	AA MLE	Somerset Patriots	—	139	130	27	7	0	2	8	33	1	3	0	208	259	308	567	100	258	24	6	238	47	—	—	—	—	—	—
2023	21	A+ MLE	Hudson Valley Renegades	—	121	116	35	7	0	8	4	22	1	2	0	302	331	569	900	267	319	18	3	380	143	—	—	—	—	—	—
2023	21	A MLE	Tampa Tarpons	—	232	201	41	6	0	5	26	57	1	7	4	204	298	308	607	104	243	25	11	278	74	—	—	—	—	—	—
2024	22	AAA MLE	Jacksonville Jumbo Shrimp	—	287	257	58	11	1	7	24	71	5	9	1	226	304	358	662	132	283	25	8	294	85	—	—	—	—	—	—
2024	22	AA MLE	Somerset Patriots	—	261	236	62	14	1	13	20	51	3	13	1	263	328	496	824	233	275	20	8	346	120	—	—	—	—	—	—
2025	23	MLB MLE	Miami Marlins	—	585	539	129	36	1	22	34	113	8	16	3	239	294	432	727	193	253	19	6	320	102	+2	+2	-6	+12	+13	2.3
2025	23	AAA MLE	Jacksonville Jumbo Shrimp	—	80	73	15	6	0	2	5	23	0	5	0	205	256	370	626	164	259	29	6	284	78	—	—	—	—	—	—
2026	24	MLB MLE	Miami Marlins	—	255	227	55	11	1	5	25	61	2	4	1	242	323	366	688	123	298	24	10	312	97	-1	+0	-1	+9	+6	1.4
2026	24	AAA MLE	Jacksonville Jumbo Shrimp	—	241	220	50	12	1	5	16	62	3	17	4	227	289	359	648	132	290	26	7	287	80	—	—	—	—	—	—
2019	17	ROK MLE	DSL Yankees	—	180	167	24	6	0	2	8	41	3	1	1	144	197	216	412	72	175	23	4	182	9	—	—	—	—	—	—
2019	17	ROK RAW	DSL Yankees	—	180	163	39	10	0	4	12	34	3	1	1	239	303	374	678	135	276	19	7	302	9	—	—	—	—	—	—
2021	19	ROK MLE	FCL Yankees	—	109	97	13	6	0	3	9	47	0	0	1	134	208	289	496	155	200	43	8	222	36	—	—	—	—	—	—
2021	19	ROK RAW	FCL Yankees	—	109	91	20	10	0	4	15	33	0	0	1	220	330	462	792	242	281	30	14	340	36	—	—	—	—	—	—
2022	20	ROK MLE	FCL Yankees	—	197	177	42	11	1	4	14	45	2	13	2	237	301	379	679	141	288	23	7	289	82	—	—	—	—	—	—
2022	20	ROK RAW	FCL Yankees	—	197	168	51	14	1	6	23	31	2	13	2	304	394	506	900	202	333	16	12	390	82	—	—	—	—	—	—
2023	21	A MLE	3 teams	—	492	447	103	20	0	15	38	112	3	12	4	230	295	376	671	145	272	23	8	292	84	—	—	—	—	—	—
2023	21	A RAW	3 teams	—	492	424	115	24	0	18	61	85	3	12	4	271	367	455	822	184	298	17	12	364	84	—	—	—	—	—	—
2024	22	AAA MLE	2 teams	—	548	493	120	25	2	20	44	122	8	22	2	243	316	424	740	181	282	22	8	319	102	—	—	—	—	—	—
2024	22	AAA RAW	2 teams	—	548	476	127	26	2	25	61	102	8	22	2	267	360	487	847	221	290	19	11	372	102	—	—	—	—	—	—
2025	23	MLB MLE	2 teams	—	665	612	145	42	1	25	39	136	8	21	3	237	291	431	723	194	263	20	6	315	100	-0	+3	-6	+12	+14	2.4
2025	23	MLB RAW	2 teams	—	665	608	142	40	1	24	43	132	8	21	3	234	293	421	714	187	258	20	6	314	100	-0	+3	-6	+12	+14	2.4
2026	24	MLB MLE	3 teams	—	523	471	111	25	2	11	44	130	5	22	5	236	308	367	675	132	300	25	8	300	89	-7	+2	-1	+9	+11	1.5
2026	24	MLB RAW	3 teams	—	523	462	115	24	3	13	53	118	5	22	5	249	333	398	731	149	305	23	10	327	89	-7	+2	-1	+9	+11	1.5
2019	17	ROK MLE	DSL Yankees	—	180	167	24	6	0	2	8	41	3	1	1	144	197	216	412	72	170	23	4	182	9	—	—	—	—	—	—
2021	19	ROK MLE	FCL Yankees	—	109	99	13	6	0	3	9	47	0	0	1	131	208	283	490	152	198	43	8	222	36	—	—	—	—	—	—
2022	20	ROK MLE	FCL Yankees	—	197	179	42	11	1	4	14	45	2	13	2	235	301	374	675	140	270	23	7	289	82	—	—	—	—	—	—
2023	21	A MLE	3 teams	—	492	448	103	20	0	15	38	112	3	12	4	230	295	375	670	145	266	23	8	292	84	—	—	—	—	—	—
2024	22	AAA MLE	2 teams	—	548	491	120	25	2	20	44	122	8	22	2	244	316	426	741	181	279	22	8	319	102	—	—	—	—	—	—
2025	23	MLB MLE	2 teams	—	665	613	145	42	1	25	39	136	8	21	3	237	291	431	722	194	254	20	6	315	100	—	—	—	—	—	—
2026	24	MLB MLE	3 teams	—	523	469	111	25	2	11	44	130	5	22	5	237	308	369	677	132	294	25	8	300	89	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	22	AAA MLE	2 teams	—	548	491	120	25	2	20	44	122	8	22	2	244	316	426	741	181	279	22	8	319	102	—	—	—	—	—	—
2025	23	MLB MLE	2 teams	—	665	613	145	42	1	25	39	136	8	21	3	237	291	431	722	194	254	20	6	315	100	—	—	—	—	—	—
2026	24	MLB MLE	3 teams	—	523	469	111	25	2	11	44	130	5	22	5	237	308	369	677	132	294	25	8	300	89	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	MIA	100%	583	527	128	30	2	18	44	130	7	18	5	242	309	409	717	166	286	22	8	318	101	+1	+2	-13	+10	+13	0.7
▸ 2027 — real world (MLB)
2027	25	MLB CTX	MIA	100%	266	241	56	12	1	8	20	59	3	8	2	233	301	389	690	156	276	22	8	307	101	+0	+1	-6	+5	+6	0.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	26	MLB MLE	MIA	82%	445	403	98	23	2	14	34	99	5	13	4	242	309	408	717	166	286	22	8	317	101	+1	+1	-10	+8	+10	0.9
2029	27	MLB MLE	MIA	82%	445	403	97	23	2	13	34	100	5	13	4	241	308	406	713	165	285	22	8	316	100	+0	+1	-10	+8	+10	0.9
2030	28	MLB MLE	MIA	82%	445	403	97	23	2	13	34	101	5	11	4	239	306	401	706	162	284	23	8	313	98	-1	+1	-11	+8	+10	0.6
2031	29	MLB MLE	MIA	82%	445	403	95	22	1	13	34	102	5	9	3	236	303	395	697	158	283	23	8	310	96	-2	+1	-12	+8	+10	0.4
2032	30	MLB MLE	MIA	82%	445	405	93	22	1	12	33	104	4	7	3	233	299	386	685	153	281	23	7	305	92	-4	+0	-12	+8	+10	0.1
2033	31	MLB MLE	MIA	82%	426	387	88	21	1	11	32	101	4	4	2	228	294	376	669	147	277	24	8	298	88	-6	+0	-13	+8	+9	-0.2
2034	32	MLB MLE	MIA	82%	397	361	81	19	1	10	29	96	4	1	2	222	286	362	648	139	272	24	7	289	82	-8	-1	-13	+7	+9	-0.6
2035	33	MLB MLE	MIA	82%	346	315	68	15	1	8	25	86	3	1	1	214	278	344	622	130	265	25	7	279	75	-10	-0	-12	+6	+7	-0.9
2028	26	MLB CTX	MIA	82%	365	330	77	17	1	11	28	82	4	11	3	233	301	389	689	156	275	22	8	307	101	+0	+1	-8	+7	+8	0.8
2029	27	MLB CTX	MIA	82%	365	330	76	17	1	10	28	82	4	11	3	232	300	386	686	154	275	22	8	305	100	+0	+1	-8	+7	+8	0.7
2030	28	MLB CTX	MIA	82%	365	330	76	17	1	10	28	83	4	9	3	230	298	382	679	152	274	23	8	303	98	-1	+1	-9	+7	+8	0.5
2031	29	MLB CTX	MIA	82%	365	330	75	17	1	10	28	84	4	8	3	228	295	376	671	148	272	23	8	299	96	-2	+0	-9	+7	+8	0.4
2032	30	MLB CTX	MIA	82%	365	331	75	17	1	10	27	85	4	6	2	225	291	368	659	144	270	23	7	294	92	-3	+0	-10	+7	+8	0.1
2033	31	MLB CTX	MIA	82%	349	317	71	16	1	9	26	83	3	3	2	220	286	358	644	138	267	24	7	288	88	-5	-0	-10	+6	+8	-0.2
2034	32	MLB CTX	MIA	82%	326	296	64	14	1	8	24	79	3	1	1	214	279	345	624	131	262	24	7	280	82	-7	-0	-10	+6	+7	-0.5
2035	33	MLB CTX	MIA	82%	284	260	53	12	0	6	20	70	2	0	1	207	271	328	599	122	256	25	7	270	75	-9	-0	-10	+5	+6	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3624	3287	744	170	9	100	271	822	38	69	22	226	293	375	668	148	270	23	7	297	90	-31	+5	-82	+71	+79	4.2
/ 162G	—	A+C		—	650	590	133	30	2	18	49	147	7	12	4	225	293	375	668	149	268	23	8	297	90	-6	+1	-15	+13	+14	0.7
Career	—	MLE		—	6374	5785	1334	317	18	182	471	1481	67	158	43	231	296	386	682	155	277	23	7	301	90	-37	+6	-105	+87	+98	4.9
/ 162G	—	MLE		—	650	590	136	32	2	19	48	151	7	16	4	231	296	388	684	158	276	23	7	301	90	-5	+1	-15	+13	+14	0.7

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 AAAJacksonville Jumbo Shrimp · 241 PAwOBA .331 → .287 (−45)K% 21.6% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.58%	÷1.000	×1.200	—	—	25.89%
BB% (unintentional) /PA	9.54%	÷1.000	×0.690	—	×1.033	6.80%
HBP% /PA	1.24%	—	×0.940	—	×1.033	1.21%
Singles /BIP	19.88%	÷1.000	×0.930	×1.046	×1.033	19.96%
Doubles /BIP	8.70%	÷1.000	×0.830	×1.046	×1.033	7.80%
Triples /BIP	0.62%	÷1.000	×0.970	×1.046	×1.033	0.65%
Home runs /BIP	4.35%	÷1.000	×0.700	—	×1.033	3.14%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.

Result: wOBA .331 → .287; ISO .174 → .139; BABIP .301 → .290. 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 AAAJacksonville Jumbo Shrimp · 80 PAwOBA .341 → .284 (−57)K% 23.8% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.75%	÷0.978	×1.200	—	—	29.13%
BB% (unintentional) /PA	8.75%	÷1.027	×0.690	—	×1.048	6.16%
HBP% /PA	0.00%	—	×0.940	—	×1.048	0.00%
Singles /BIP	15.38%	÷1.051	×0.930	×0.999	×1.048	14.25%
Doubles /BIP	13.46%	÷1.023	×0.830	×0.999	×1.048	11.43%
Triples /BIP	0.00%	÷1.150	×0.970	×0.999	×1.048	0.00%
Home runs /BIP	5.77%	÷0.903	×0.700	—	×1.048	4.69%

Factors used: league row International League. Park (home-season share, regressed): HR 81, 1B 110, 2B 105, 3B 130, K 96, BB 105 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .341 → .284; ISO .225 → .186; BABIP .294 → .259. 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 AAAJacksonville Jumbo Shrimp · 287 PAwOBA .333 → .294 (−39)K% 20.6% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.56%	÷0.999	×1.200	—	—	24.69%
BB% (unintentional) /PA	11.50%	÷1.005	×0.690	—	×1.050	8.29%
HBP% /PA	1.74%	—	×0.940	—	×1.050	1.72%
Singles /BIP	20.63%	÷1.016	×0.930	×1.050	×1.050	20.82%
Doubles /BIP	6.35%	÷0.970	×0.830	×1.050	×1.050	5.99%
Triples /BIP	0.53%	÷0.985	×0.970	×1.050	×1.050	0.57%
Home runs /BIP	4.76%	÷0.925	×0.700	—	×1.050	3.78%

Factors used: league row International League. Park (home-season share, regressed): HR 85, 1B 103, 2B 94, 3B 97, K 100, BB 101 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .333 → .294; ISO .165 → .140; BABIP .287 → .283. 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 AASomerset Patriots · 261 PAwOBA .398 → .346 (−52)K% 16.5% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.48%	÷1.018	×1.220	—	—	19.74%
BB% (unintentional) /PA	10.34%	÷0.972	×0.700	—	×1.027	7.65%
HBP% /PA	1.15%	—	×0.850	—	×1.027	1.00%
Singles /BIP	18.92%	÷1.050	×0.970	×1.000	×1.027	17.94%
Doubles /BIP	7.57%	÷0.902	×0.860	×1.000	×1.027	7.41%
Triples /BIP	0.54%	÷0.934	×0.950	×1.000	×1.027	0.56%
Home runs /BIP	8.65%	÷1.027	×0.780	—	×1.027	6.74%

Factors used: league row EL. Park (home-season share, regressed): HR 105, 1B 110, 2B 80, 3B 87, K 104, BB 94 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .398 → .346; ISO .281 → .236; BABIP .292 → .275. 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 ATampa Tarpons · 232 PAwOBA .350 → .278 (−71)K% 17.7% → 24.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.67%	÷0.975	×1.360	—	—	24.66%
BB% (unintentional) /PA	17.67%	÷1.079	×0.690	—	—	11.30%
HBP% /PA	0.43%	—	×0.780	—	—	0.34%
Singles /BIP	21.68%	÷0.987	×0.920	×0.988	—	19.96%
Doubles /BIP	4.90%	÷0.972	×0.830	×0.988	—	4.13%
Triples /BIP	0.00%	÷0.900	×0.910	×0.988	—	0.00%
Home runs /BIP	4.90%	÷1.086	×0.800	—	—	3.61%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 97, 2B 94, 3B 80, K 95, BB 116 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .350 → .278; ISO .152 → .120; BABIP .271 → .243. 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 AASomerset Patriots · 139 PAwOBA .260 → .238 (−22)K% 19.4% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.42%	÷1.006	×1.220	—	—	23.55%
BB% (unintentional) /PA	7.19%	÷0.973	×0.700	—	×1.042	5.39%
HBP% /PA	0.72%	—	×0.850	—	×1.042	0.64%
Singles /BIP	17.82%	÷0.987	×0.970	×1.026	×1.042	18.71%
Doubles /BIP	6.93%	÷0.958	×0.860	×1.026	×1.042	6.65%
Triples /BIP	0.00%	÷0.900	×0.950	×1.026	×1.042	0.00%
Home runs /BIP	1.98%	÷1.033	×0.780	—	×1.042	1.56%

Factors used: league row EL. Park (home-season share, regressed): HR 107, 1B 97, 2B 92, 3B 80, K 101, BB 95 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .260 → .238; ISO .102 → .087; BABIP .253 → .258. 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 A+Hudson Valley Renegades · 121 PAwOBA .478 → .380 (−98)K% 14.0% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.05%	÷1.005	×1.310	—	—	18.31%
BB% (unintentional) /PA	6.61%	÷1.092	×0.600	—	×1.012	3.68%
HBP% /PA	0.83%	—	×0.770	—	×1.012	0.64%
Singles /BIP	25.26%	÷1.004	×0.870	×0.973	×1.012	21.56%
Doubles /BIP	10.53%	÷1.060	×0.780	×0.973	×1.012	7.63%
Triples /BIP	0.00%	÷0.900	×0.850	×0.973	×1.012	0.00%
Home runs /BIP	9.47%	÷1.006	×0.880	—	×1.012	8.38%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 101, 1B 101, 2B 112, 3B 80, K 101, BB 118 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .478 → .380; ISO .330 → .274; BABIP .395 → .319. 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).

2022 ROKFCL Yankees · 197 PAwOBA .387 → .289 (−98)K% 15.7% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.74%	÷0.990	×1.440	—	—	22.88%
BB% (unintentional) /PA	11.68%	÷1.026	×0.620	—	×0.985	6.95%
HBP% /PA	1.02%	—	×0.720	—	×0.985	0.72%
Singles /BIP	21.90%	÷0.983	×0.820	×1.039	×0.985	18.70%
Doubles /BIP	10.22%	÷0.974	×0.720	×1.039	×0.985	7.74%
Triples /BIP	0.73%	÷1.150	×0.720	×1.039	×0.985	0.47%
Home runs /BIP	4.38%	÷1.066	×0.780	—	×0.985	3.16%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 97, 2B 95, 3B 130, K 98, BB 105 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .387 → .289; ISO .202 → .148; BABIP .333 → .270. 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
#1Kurt Suzukilast yr '22 career totals — 16 seasons, 6,163 PA	9.3	6,163	143	20	255	314	388	+110	-35	22.7	20.5
/162	664	15	2	+11.9	-3.8	2.4	pk7: 18
#2Charles Johnson'94-'05 * career totals — 11 seasons, 4,385 PA	6.6	4,385	167	6	235*	316*	421*	+78	+0	21.1	19.6
/162	664	25	1	+11.8	+0.0	3.2	pk7: 18
#3Johnny Edwards'61-'74 * career totals — 14 seasons, 5,132 PA	7.7	5,132	81	15	240*	313*	380*	+92	+0	16.7	16.2
/162	664	10	2	+11.9	+0.0	2.2	pk7: 16
#4John 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
#5Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	5.9	3,889	112	77	234	297	392	+69	-34	14.9	13.5
/162	664	19	13	+11.9	-5.7	2.5	pk7: 12
#6Randy Hundley'64-'77 * career totals — 9 seasons, 3,797 PA	5.7	3,797	82	12	236*	295*	383*	+68	+0	8.0	8.7
/162	664	14	2	+11.8	+0.0	1.4	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
Agustín Ramírez (OGILVIE)	25	55	55	45	45	240/306/405	165	286	8	8	22%	8%	101	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Urías 2022 · MLB	25	48→58	52→55	47→45	53	247/331/420	173	289	20	7	22%	10%	113	+2.3	227/323/375	148	273	17	5	22%	10%	101	+1.4	212/315/343	131	259	15	4	23%	10%	91	+0.5
●Jonathan India 2022 · MLB	25	51→54	50	49→50	53	252/351/414	163	314	17	11	24%	10%	119	+2.7	248/341/395	147	300	16	11	21%	10%	111	+2.1	238/339/373	135	284	14	9	20%	11%	105	+1.7
✕Aledmys Díaz 2017 · MLB	26	52→57	51→55	43→45	49	263/319/432	169	287	18	7	16%	6%	111	+2.1	252/300/414	162	272	19	7	15%	6%	100	+1.3	253/309/421	168	270	20	3	15%	6%	106	+1.0
●Gleyber Torres 2022 · MLB	25	52→55	48→60	46→50	53	257/329/400	143	302	16	12	20%	10%	107	+1.9	258/324/414	156	299	18	11	19%	9%	109	+2.0	259/345/399	140	294	17	6	17%	11%	114	+2.6
✕Josh Fields 2008 · MLB	25	48→54	55	48→50	45	246/312/433	187	322	23	12	30%	8%	109	+2.0	234/300/394	160	315	19	9	30%	8%	95	+1.0	237/299/374	136	312	15	9	27%	8%	89	+0.4
✕Henry Davis 2024 · MLB	24	47	51→50	46→50	49	236/325/396	160	295	19	13	26%	9%	106	+1.8	209/290/352	143	263	18	10	27%	8%	83	+0.1	186/269/319	134	227	18	8	26%	8%	67	-0.6
✕Josh Rutledge 2014 · MLB	25	52→61	47→50	54→50	43	258/304/400	142	308	14	15	21%	5%	98	+1.2	243/295/354	111	317	9	9	25%	6%	84	+0.1	235/289/326	91	318	6	4	27%	5%	75	-0.3
✕Leonys Martin 2013 · MLB	25	54→56	49→50	51→60	47	270/320/428	159	309	15	21	18%	6%	110	+2.1	253/302/369	116	307	10	31	20%	6%	89	+0.5	241/296/382	141	305	16	24	25%	6%	90	+0.5
✕Mike Brosseau 2020 · MLB	26	49→56	51→55	44→45	44	251/310/416	166	297	19	8	22%	6%	104	+1.6	237/311/404	167	303	20	8	27%	8%	102	+1.5	212/287/333	121	269	18	3	27%	7%	76	-0.2
●Ian Kinsler 2007 · MLB	25	50→60	51→60	49→55	50	255/316/415	159	279	18	14	16%	7%	106	+1.8	271/341/456	185	287	21	22	14%	9%	125	+3.2	271/346/472	201	280	23	27	13%	9%	131	+3.6
✕Nick Senzel 2020 · MLB	25	52→58	49→50	52→50	45	254/310/408	154	324	15	16	26%	7%	102	+1.5	236/296/359	123	285	11	13	20%	7%	85	+0.2	228/293/330	102	269	11	12	19%	8%	77	-0.2
✕Derek Norris 2015 · MLB	26	51→55	49→55	47→50	55	253/335/406	153	302	17	7	21%	11%	111	+2.1	233/296/386	153	290	17	7	25%	7%	92	+0.7	219/277/372	153	272	18	7	26%	6%	83	+0.0
✕Ezequiel Duran 2024 · MLB	25	50→56	51→55	48→50	40	250/296/415	165	323	18	13	28%	5%	99	+1.2	250/296/385	135	317	13	15	24%	5%	91	+0.7	249/300/379	130	313	12	16	24%	6%	91	+0.4
✕James Darnell 2012 · MLB	25	49→52	52→55	46→40	51	251/320/420	169	286	20	4	20%	9%	109	+2.0	233/296/387	154	280	17	6	23%	7%	93	+0.8	217/298/394	177	244	24	3	22%	8%	95	+0.2
●Bo Bichette 2023 · MLB	25	57→62	54→60	50→55	45	290/333/472	183	338	22	15	21%	6%	126	+3.2	285/326/445	160	332	18	8	19%	6%	116	+2.5	288/330/442	153	330	16	5	17%	5%	118	+2.3
●Elijah Dukes 2008 · MLB	24	48→54	53→55	48→50	55	248/331/424	176	279	20	12	19%	10%	114	+2.3	245/342/416	171	293	17	14	21%	12%	116	+2.5	247/348/417	170	297	16	14	21%	12%	118	+2.0
✕Josh VanMeter 2020 · MLB	25	48→50	51→55	50	48	243/305/411	168	290	17	15	23%	8%	101	+1.4	225/306/395	170	280	19	11	25%	10%	98	+1.2	199/304/344	144	254	16	7	27%	13%	85	+0.1
●Luis Campusano 2024 · MLB	25	52→56	49→50	47→30	46	262/312/406	144	303	17	3	20%	6%	102	+1.5	260/326/417	157	298	19	3	19%	8%	110	+2.1	260/336/420	160	301	19	1	20%	10%	113	+1.4
●Khalil Greene 2004 · MLB	24	47→53	51→60	45	45	237/300/403	166	294	18	8	26%	7%	97	+1.1	254/315/425	171	290	18	6	18%	7%	108	+1.9	252/315/425	173	286	18	6	18%	7%	109	+1.7
✕John Hester 2011 · MLB	27	51	49→55	49→50	42	252/300/413	161	320	15	11	25%	6%	99	+1.3	212/269/327	115	290	12	5	30%	7%	68	-1.0	183/241/290	107	263	12	4	34%	7%	48	-1.1

Agustín Ramírez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps