Brandon Nimmo

RF Texas Rangers

Age 34 L/R 6'1" / 206 lbs MLB HR +15%BB +5% Svc 10.244 · Ctrl thru 2030

Overview

MLB40-MANExtFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	31	MLBNYM	663	.224/.329/.399	23	15	111	1.7
2025	32	MLBNYM	652	.262/.328/.436	25	13	118	2.1
2026	33	MLBTEX	655	.260/.326/.405	14	7	103	1.0
2027PROJ	34	MLBTEX	513	.264/.333/.439	17	9	115	1.6
2028PROJ	35	MLBTEX	432	.251/.319/.412	13	3	104	0.1

Last 3 seasons WAR 4.8 · Next 2 projected WAR 1.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2030Service10.244First FA2028NTC

2027Ext$20M2028Ext$20M2029Ext$20M2030Ext$20M

Skills · percentileStatcast 2024-2026

Avg EV90

xwOBA71

Speed63

Bat Spd61

Barrel%55

Form.245/.311/.385 ▼▼ rolling true talent (60d window) · proj .262/.329/.432

CompsMidre Cummings (age 33) · Michael Tucker (age 34) · Jason Kipnis (age 34)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 106115vR 118

AVG/OBP/SLG.264 / .333 / .439

PA513

HR17

SB9

K%22

BB%8

BABIP313

ISO172

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$24M ctrl surplus

Tools · Recent Form · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

520.253

POWER

Barrel%

558.9

Avg EV

9092.0

Bat Spd

6172.5

SPEED

Sprint

6328.0

Recent Formrolling true talent ⓘ

K%26%▼▼28% over 109 PA (60d) · proj 22%

BB%8%·7% over 109 PA (60d) · proj 8%

ISO.139▼▼.090 over 100 AB (60d) · proj .170

HR/BB3.4%▼1.4% over 70 BBE (60d) · proj 4.6%

BABIP.319▲.377 over 69 BIP (60d) · proj .314

SLASH.245/.311/.385▼▼proj .262/.329/.432

Platoon Splits2024-2026 · 1434 PA

vs LHP

vs RHP

Edge

407

1027

—

wRC+

110

111

—

wOBA

330

333

—

ISO

157

184

▶R

BABIP

323

276

◀L

24.1%

22.0%

▶R

BB%

5.9%

10.8%

▶▶R

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

Status FA

MLB Debut 2016

Service 10.244 yrs.days

Team Control Through 2030

First FA Year 2028

NTC

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext	$20M	+1.9	$15M	-$5M
2028	Ext	$20M	+0.1	$0.4M	-$18M
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
Totals		$40M		$16M	-$23M

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.

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)
2011	18	ROK	Kingsport Mets	—	44	38	8	0	0	2	6	14	0	0	0	211	318	368	687	158	273	32	14	313	29	—	—	—	—	—	—
2013	20	A	Savannah Sand Gnats	—	480	395	108	16	6	2	71	131	11	10	7	273	398	359	758	86	402	27	15	350	80	—	—	—	—	—	—
2014	21	AA	Binghamton Mets	—	279	240	57	12	4	6	36	54	1	5	1	237	339	396	735	158	283	19	13	329	79	—	—	—	—	—	—
2014	21	A+	St. Lucie Mets	—	279	227	73	9	5	4	50	51	2	9	3	322	448	458	906	137	401	18	18	409	114	—	—	—	—	—	—
2014	21	INTL	Scottsdale Scorpions	—	98	84	17	3	0	0	12	28	1	2	1	202	309	238	547	36	298	29	12	262	63	—	—	—	—	—	—
2015	22	AAA	Las Vegas 51s	—	112	91	24	3	1	3	18	20	2	5	4	264	396	418	814	154	304	18	16	367	97	—	—	—	—	—	—
2015	22	AA	Binghamton Mets	—	302	269	75	12	3	2	26	55	6	0	2	279	355	368	724	89	343	18	9	329	80	—	—	—	—	—	—
2015	22	A+	St. Lucie Mets	—	20	16	2	1	0	0	4	3	0	0	0	125	300	188	487	62	154	15	20	249	19	—	—	—	—	—	—
2016	23	MLB	New York Mets	—	80	73	20	1	0	1	6	20	1	0	0	274	338	329	666	55	365	25	8	307	98	-0	+0	-0	-6	+2	-0.4
2016	23	AAA	Las Vegas 51s	—	444	392	138	25	8	11	46	73	3	7	8	352	424	541	965	189	411	16	10	422	122	—	—	—	—	—	—
2017	24	MLB	New York Mets	—	215	177	46	11	1	5	33	60	2	2	0	260	382	418	800	158	360	28	15	358	131	+8	+0	+0	-5	+5	0.9
2017	24	AAA	Las Vegas 51s	—	198	163	37	12	1	3	33	49	2	0	0	227	364	368	732	141	306	25	17	337	65	—	—	—	—	—	—
2017	24	A+	St. Lucie Mets	—	23	18	4	2	0	1	5	4	0	0	0	222	391	500	891	278	231	17	22	393	103	—	—	—	—	—	—
2018	25	MLB	New York Mets	—	535	433	114	28	8	17	80	140	22	9	6	263	404	483	886	219	351	26	15	395	157	+36	-1	+1	-6	+12	4.3
2019	26	MLB	New York Mets	—	254	199	44	11	1	8	46	71	5	3	0	221	380	407	787	186	293	28	18	354	126	+8	+1	-0	+1	+6	1.5
2019	26	AAA	Syracuse Mets	—	44	35	7	2	0	1	8	8	1	3	0	200	364	343	706	143	231	18	18	331	69	—	—	—	—	—	—
2019	26	A+	St. Lucie Mets	—	17	14	3	0	1	0	3	2	0	0	1	214	353	357	710	143	250	12	18	325	51	—	—	—	—	—	—
2020	27	MLB	New York Mets	—	225	186	52	8	3	8	33	43	6	1	2	280	404	484	888	204	326	19	15	396	159	+16	-1	-2	+1	+5	2.0
2021	28	MLB	New York Mets	—	386	325	95	17	3	8	54	79	5	5	4	292	401	437	838	145	366	20	14	376	146	+21	-1	+2	+2	+8	3.4
2021	28	AAA	Syracuse Mets	—	36	29	5	1	0	0	5	3	2	0	0	172	333	207	540	34	192	8	14	274	39	—	—	—	—	—	—
2022	29	MLB	New York Mets	—	673	580	159	30	7	16	71	116	16	3	2	274	369	433	802	159	317	17	11	357	133	+27	-0	+2	+2	+15	4.7
2023	30	MLB	New York Mets	—	682	592	162	30	6	24	74	146	11	3	3	274	365	466	831	193	324	21	11	367	140	+32	-1	-1	+2	+15	4.9
2024	31	MLB	New York Mets	—	663	571	128	25	3	23	77	158	12	15	0	224	329	399	728	175	267	24	12	327	111	+9	+3	-2	-7	+14	1.7
2025	32	MLB	New York Mets	—	652	587	154	27	0	25	50	141	7	13	1	262	328	436	764	174	301	22	8	336	118	+14	+2	-2	-7	+14	2.1
2026	33	MLB	Texas Rangers	—	655	593	154	36	4	14	51	149	7	7	1	260	326	405	730	145	323	23	8	325	103	+3	+1	-1	-7	+14	1.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5020	4316	1128	224	36	149	575	1123	94	61	19	261	360	434	794	172	319	22	11	354	126	+153	+5	-2	-29	+109	24.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	18	ROK MLE	Kingsport Mets	—	44	40	5	0	0	1	4	20	0	0	0	125	205	200	405	75	230	45	9	211	29	—	—	—	—	—	—
2013	20	A MLE	Savannah Sand Gnats	—	480	417	96	13	6	2	49	178	11	10	7	230	327	305	632	74	388	37	10	287	80	—	—	—	—	—	—
2014	21	AA MLE	Binghamton Mets	—	279	250	56	10	4	5	26	65	1	5	1	224	300	356	656	132	280	23	9	285	79	—	—	—	—	—	—
2014	21	A+ MLE	St. Lucie Mets	—	279	243	67	10	4	3	34	74	2	9	3	276	369	387	756	111	383	27	12	337	114	—	—	—	—	—	—
2015	22	AAA MLE	Las Vegas 51s	—	112	96	23	3	1	2	13	26	2	5	4	240	342	354	697	115	295	23	12	311	97	—	—	—	—	—	—
2015	22	AA MLE	Binghamton Mets	—	302	277	70	10	3	1	18	69	6	0	2	253	312	321	634	69	330	23	6	287	80	—	—	—	—	—	—
2015	22	A+ MLE	St. Lucie Mets	—	20	17	2	1	0	0	3	4	0	0	0	118	250	176	426	59	139	20	15	197	19	—	—	—	—	—	—
2016	23	MLB MLE	New York Mets	—	80	73	20	1	0	1	6	20	1	0	0	274	338	329	666	55	365	25	8	313	98	-0	+0	-0	-6	+2	-0.4
2016	23	AAA MLE	Las Vegas 51s	—	444	403	122	19	7	8	35	97	3	7	8	303	363	444	807	141	377	22	8	349	122	—	—	—	—	—	—
2017	24	MLB MLE	New York Mets	—	215	178	48	12	1	5	32	60	2	2	0	270	387	433	819	163	360	28	15	362	131	+8	+0	+0	-5	+5	0.9
2017	24	AAA MLE	Las Vegas 51s	—	198	172	32	10	1	2	24	67	2	0	0	186	293	291	584	105	290	34	12	264	65	—	—	—	—	—	—
2017	24	A+ MLE	St. Lucie Mets	—	23	19	4	2	0	1	4	6	0	0	0	211	348	474	822	263	209	26	17	320	103	—	—	—	—	—	—
2018	25	MLB MLE	New York Mets	—	535	435	118	30	8	17	78	140	22	9	6	271	407	494	902	223	351	26	15	400	157	+36	-1	+1	-6	+12	4.3
2019	26	MLB MLE	New York Mets	—	254	201	46	12	1	8	44	71	5	3	0	229	380	418	798	189	293	28	17	354	126	+8	+1	-0	+1	+6	1.5
2019	26	AAA MLE	Syracuse Mets	—	44	37	7	2	0	1	6	9	1	3	0	189	318	324	643	135	200	20	14	270	69	—	—	—	—	—	—
2019	26	A+ MLE	St. Lucie Mets	—	17	15	3	0	1	0	2	3	0	0	1	200	294	333	627	133	203	18	12	243	51	—	—	—	—	—	—
2020	27	MLB MLE	New York Mets	—	225	186	53	8	3	8	33	43	6	1	2	285	409	489	898	204	326	19	15	403	159	+16	-1	-2	+1	+5	2.0
2021	28	MLB MLE	New York Mets	—	386	325	98	18	3	8	54	79	5	5	4	302	409	449	858	148	366	20	14	384	146	+21	-1	+2	+2	+8	3.4
2021	28	AAA MLE	Syracuse Mets	—	36	31	5	1	0	0	3	4	2	0	0	161	278	194	471	32	173	11	8	226	39	—	—	—	—	—	—
2022	29	MLB MLE	New York Mets	—	673	580	164	32	7	16	71	116	16	3	2	283	376	445	821	162	317	17	11	365	133	+27	-0	+2	+2	+15	4.7
2023	30	MLB MLE	New York Mets	—	682	592	167	32	6	24	74	146	11	3	3	282	372	478	850	196	324	21	11	374	140	+32	-1	-1	+2	+15	4.9
2024	31	MLB MLE	New York Mets	—	663	572	132	27	3	23	76	158	12	15	0	231	333	409	742	178	267	24	11	332	111	+9	+3	-2	-7	+14	1.7
2025	32	MLB MLE	New York Mets	—	652	588	159	29	0	25	49	141	7	13	1	270	334	447	781	177	301	22	8	342	118	+14	+2	-2	-7	+14	2.1
2026	33	MLB MLE	Texas Rangers	—	655	595	154	37	4	13	49	149	7	7	1	259	323	400	723	141	323	23	7	321	103	+3	+1	-1	-7	+14	1.0
2011	18	ROK MLE	Kingsport Mets	—	44	40	5	0	0	1	4	20	0	0	0	125	205	200	405	75	211	45	9	211	29	—	—	—	—	—	—
2011	18	ROK RAW	Kingsport Mets	—	44	38	8	0	0	2	6	14	0	0	0	211	318	368	687	158	273	32	14	313	29	—	—	—	—	—	—
2013	20	A MLE	Savannah Sand Gnats	—	480	417	96	13	6	2	49	178	11	10	7	230	327	305	632	74	393	37	10	287	80	—	—	—	—	—	—
2013	20	A RAW	Savannah Sand Gnats	—	480	395	108	16	6	2	71	131	11	10	7	273	398	359	758	86	402	27	15	350	80	—	—	—	—	—	—
2014	21	AA MLE	3 teams	—	656	579	145	24	9	10	70	163	4	16	5	250	335	375	710	124	332	25	11	311	97	—	—	—	—	—	—
2014	21	AA RAW	3 teams	—	656	551	147	24	9	10	98	133	4	16	5	267	381	397	779	131	335	20	15	353	97	—	—	—	—	—	—
2015	22	AA MLE	3 teams	—	434	391	96	14	4	4	33	100	8	5	6	246	317	332	650	87	318	23	8	289	82	—	—	—	—	—	—
2015	22	AA RAW	3 teams	—	434	376	101	16	4	5	48	78	8	5	6	269	363	372	736	104	325	18	11	335	82	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	524	476	143	20	7	9	41	117	4	7	8	300	361	429	789	128	382	22	8	344	119	—	—	—	—	—	—
2016	23	AAA RAW	2 teams	—	524	465	158	26	8	12	52	93	4	7	8	340	411	508	918	168	404	18	10	404	119	—	—	—	—	—	—
2017	24	MLB MLE	3 teams	—	436	369	83	23	2	8	60	133	4	2	0	225	339	363	703	138	326	31	14	315	99	-0	+0	+0	-5	+9	0.5
2017	24	MLB RAW	3 teams	—	436	358	87	25	2	9	71	113	4	2	0	243	374	399	774	156	328	26	16	350	99	-0	+0	+0	-5	+9	0.5
2018	25	MLB MLE	New York Mets	—	535	435	118	30	8	17	78	140	22	9	6	271	407	494	902	223	363	26	15	400	157	+36	-1	+1	-6	+12	4.3
2018	25	MLB RAW	New York Mets	—	535	433	114	28	8	17	80	140	22	9	6	263	404	483	886	219	351	26	15	395	157	+36	-1	+1	-6	+12	4.3
2019	26	MLB MLE	3 teams	—	315	253	54	13	2	9	52	84	6	6	1	213	360	387	747	174	276	27	17	337	114	+5	+1	-0	+1	+7	1.4
2019	26	MLB RAW	3 teams	—	315	248	54	13	2	9	57	81	6	6	1	218	376	395	771	177	280	26	18	349	114	+5	+1	-0	+1	+7	1.4
2020	27	MLB MLE	New York Mets	—	225	186	53	8	3	8	33	43	6	1	2	285	409	489	898	204	333	19	15	403	159	+16	-1	-2	+1	+5	2.0
2020	27	MLB RAW	New York Mets	—	225	186	52	8	3	8	33	43	6	1	2	280	404	484	888	204	326	19	15	396	159	+16	-1	-2	+1	+5	2.0
2021	28	MLB MLE	2 teams	—	422	356	102	19	3	8	57	83	7	5	4	287	395	424	819	138	355	20	14	371	137	+19	-1	+2	+2	+9	3.2
2021	28	MLB RAW	2 teams	—	422	354	100	18	3	8	59	82	7	5	4	282	395	418	813	136	348	19	14	368	137	+19	-1	+2	+2	+9	3.2
2022	29	MLB MLE	New York Mets	—	673	580	164	32	7	16	71	116	16	3	2	283	376	445	821	162	328	17	11	365	133	+27	-0	+2	+2	+15	4.7
2022	29	MLB RAW	New York Mets	—	673	580	159	30	7	16	71	116	16	3	2	274	369	433	802	159	317	17	11	357	133	+27	-0	+2	+2	+15	4.7
2023	30	MLB MLE	New York Mets	—	682	592	167	32	6	24	74	146	11	3	3	282	372	478	850	196	336	21	11	374	140	+32	-1	-1	+2	+15	4.9
2023	30	MLB RAW	New York Mets	—	682	592	162	30	6	24	74	146	11	3	3	274	365	466	831	193	324	21	11	367	140	+32	-1	-1	+2	+15	4.9
2024	31	MLB MLE	New York Mets	—	663	572	132	27	3	23	76	158	12	15	0	231	333	409	742	178	277	24	11	332	111	+9	+3	-2	-7	+14	1.7
2024	31	MLB RAW	New York Mets	—	663	571	128	25	3	23	77	158	12	15	0	224	329	399	728	175	267	24	12	327	111	+9	+3	-2	-7	+14	1.7
2025	32	MLB MLE	New York Mets	—	652	588	159	29	0	25	49	141	7	13	1	270	334	447	781	177	312	22	8	342	118	+14	+2	-2	-7	+14	2.1
2025	32	MLB RAW	New York Mets	—	652	587	154	27	0	25	50	141	7	13	1	262	328	436	764	174	301	22	8	336	118	+14	+2	-2	-7	+14	2.1
2026	33	MLB MLE	Texas Rangers	—	655	595	154	37	4	13	49	149	7	7	1	259	323	400	723	141	323	23	7	321	103	+3	+1	-1	-7	+14	1.0
2026	33	MLB RAW	Texas Rangers	—	655	593	154	36	4	14	51	149	7	7	1	260	326	405	730	145	323	23	8	325	103	+3	+1	-1	-7	+14	1.0
2011	18	ROK MLE	Kingsport Mets	—	44	40	5	0	0	1	4	20	0	0	0	125	205	200	405	75	230	45	9	211	29	—	—	—	—	—	—
2013	20	A MLE	Savannah Sand Gnats	—	480	417	96	13	6	2	49	178	11	10	7	230	327	305	632	74	388	37	10	287	80	—	—	—	—	—	—
2014	21	AA MLE	3 teams	—	656	577	145	24	9	10	70	163	4	16	5	251	335	376	711	125	332	25	11	311	97	—	—	—	—	—	—
2015	22	AA MLE	3 teams	—	434	390	96	14	4	4	33	100	8	5	6	246	317	333	650	87	312	23	8	289	82	—	—	—	—	—	—
2016	23	AAA MLE	2 teams	—	524	474	143	20	7	9	41	117	4	7	8	302	361	430	791	129	375	22	8	344	119	—	—	—	—	—	—
2017	24	MLB MLE	3 teams	—	436	369	83	23	2	8	60	133	4	2	0	225	339	363	703	138	320	31	14	315	99	—	—	—	—	—	—
2018	25	MLB MLE	New York Mets	—	535	430	118	30	8	17	78	140	22	9	6	274	407	500	907	226	351	26	15	400	157	—	—	—	—	—	—
2019	26	MLB MLE	3 teams	—	315	254	54	13	2	9	52	84	6	6	1	213	360	386	746	173	275	27	17	337	114	—	—	—	—	—	—
2020	27	MLB MLE	New York Mets	—	225	184	53	8	3	8	33	43	6	1	2	288	409	495	903	207	326	19	15	403	159	—	—	—	—	—	—
2021	28	MLB MLE	2 teams	—	422	355	102	19	3	8	57	83	7	5	4	287	395	425	821	138	349	20	14	371	137	—	—	—	—	—	—
2022	29	MLB MLE	New York Mets	—	673	581	164	32	7	16	71	116	16	3	2	282	376	444	820	162	317	17	11	365	133	—	—	—	—	—	—
2023	30	MLB MLE	New York Mets	—	682	592	167	32	6	24	74	146	11	3	3	282	372	478	850	196	324	21	11	374	140	—	—	—	—	—	—
2024	31	MLB MLE	New York Mets	—	663	570	132	27	3	23	76	158	12	15	0	232	333	411	744	179	267	24	11	332	111	—	—	—	—	—	—
2025	32	MLB MLE	New York Mets	—	652	591	159	29	0	25	49	141	7	13	1	269	334	445	779	176	301	22	8	342	118	—	—	—	—	—	—
2026	33	MLB MLE	Texas Rangers	—	655	594	154	37	4	13	49	149	7	7	1	259	323	401	723	141	323	23	7	321	103	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	31	MLB MLE	New York Mets	—	663	570	132	27	3	23	76	158	12	15	0	232	333	411	744	179	267	24	11	332	111	—	—	—	—	—	—
2025	32	MLB MLE	New York Mets	—	652	591	159	29	0	25	49	141	7	13	1	269	334	445	779	176	301	22	8	342	118	—	—	—	—	—	—
2026	33	MLB MLE	Texas Rangers	—	655	594	154	37	4	13	49	149	7	7	1	259	323	401	723	141	323	23	7	321	103	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	34	MLB MLE	TEX	100%	578	519	137	29	3	18	47	130	7	10	2	262	332	432	764	170	314	22	8	338	115	+10	+1	+0	-6	+13	1.9
▸ 2027 — real world (MLB)
2027	34	MLB CTX	TEX	100%	513	460	120	24	2	17	42	115	6	9	2	264	333	439	772	175	313	22	8	341	115	+9	+1	+0	-5	+11	1.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	35	MLB MLE	TEX	100%	432	390	97	20	2	12	34	100	5	3	1	249	318	405	723	156	302	23	8	321	104	+2	+0	-5	-5	+9	0.1
2028	35	MLB CTX	TEX	100%	432	390	98	19	2	13	34	100	5	3	1	251	319	412	731	161	302	23	8	324	104	+2	+0	-5	-5	+9	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5452	4706	1226	243	38	162	609	1223	99	64	20	261	357	432	789	171	318	22	11	352	116	+155	+5	-8	-33	+118	24.2
/ 162G	—	A+C		—	650	561	146	29	5	19	73	146	12	8	2	260	358	431	789	171	318	22	11	352	116	+18	+1	-1	-4	+14	2.9
Career	—	MLE		—	8341	7279	1888	366	68	205	872	1986	136	114	49	259	349	413	762	153	328	24	10	339	116	+164	+6	-7	-39	+129	25.8
/ 162G	—	MLE		—	650	567	147	29	5	16	68	155	11	9	4	259	350	413	763	153	328	24	10	339	116	+18	+1	-1	-4	+14	2.8

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.

2021 AAASyracuse Mets · 36 PAwOBA .268 → .226 (−42)K% 8.3% → 10.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.33%	÷0.966	×1.200	—	—	10.35%
BB% (unintentional) /PA	13.89%	÷1.006	×0.690	—	×0.992	9.45%
HBP% /PA	5.56%	—	×0.940	—	×0.992	5.18%
Singles /BIP	15.38%	÷1.032	×0.930	—	×0.992	13.75%
Doubles /BIP	3.85%	÷0.897	×0.830	—	×0.992	3.53%
Triples /BIP	0.00%	÷0.986	×0.920	—	×0.992	0.00%
Home runs /BIP	0.00%	÷1.039	×0.700	—	×0.992	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 79, 3B 97, K 93, BB 101 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average).

Result: wOBA .268 → .226; ISO .034 → .033; BABIP .192 → .173. 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).

2019 AAASyracuse Mets · 44 PAwOBA .324 → .270 (−54)K% 18.2% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷1.020	×1.200	—	—	21.40%
BB% (unintentional) /PA	18.18%	÷0.966	×0.690	—	×1.018	13.23%
HBP% /PA	2.27%	—	×0.940	—	×1.018	2.17%
Singles /BIP	14.81%	÷1.042	×0.930	—	×1.018	13.47%
Doubles /BIP	7.41%	÷1.060	×0.830	—	×1.018	5.90%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.018	0.00%
Home runs /BIP	3.70%	÷0.960	×0.840	—	×1.018	3.30%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 108, 2B 112, 3B 80, K 104, BB 93 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).

Result: wOBA .324 → .270; ISO .143 → .126; BABIP .231 → .200. 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).

2019 A+St. Lucie Mets · 17 PAwOBA .318 → .243 (−75)K% 11.8% → 18.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷0.917	×1.420	—	—	18.21%
BB% (unintentional) /PA	17.65%	÷0.975	×0.750	—	×0.968	13.14%
HBP% /PA	0.00%	—	×0.930	—	×0.968	0.00%
Singles /BIP	16.67%	÷1.048	×0.920	—	×0.968	14.17%
Doubles /BIP	0.00%	÷0.978	×0.960	—	×0.968	0.00%
Triples /BIP	8.33%	÷1.062	×0.810	—	×0.968	6.15%
Home runs /BIP	0.00%	÷1.122	×0.880	—	×0.968	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 124, 1B 110, 2B 96, 3B 112, K 83, BB 95 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .318 → .243; ISO .143 → .103; BABIP .250 → .203. 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).

2017 AAALas Vegas 51s · 198 PAwOBA .329 → .264 (−65)K% 24.7% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.75%	÷0.948	×1.290	—	—	33.67%
BB% (unintentional) /PA	16.67%	÷1.015	×0.710	—	×1.048	12.22%
HBP% /PA	1.01%	—	×0.980	—	×1.048	1.04%
Singles /BIP	18.42%	÷0.994	×0.900	×1.050	×1.048	18.35%
Doubles /BIP	10.53%	÷0.998	×0.810	×1.050	×1.048	9.40%
Triples /BIP	0.88%	÷1.111	×0.810	×1.050	×1.048	0.70%
Home runs /BIP	2.63%	÷1.209	×0.780	—	×1.048	1.78%

Factors used: league row PCL. Park (home-season share, regressed): HR 142, 1B 99, 2B 100, 3B 122, K 90, BB 103 — 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 ×1.050.

Result: wOBA .329 → .264; ISO .141 → .104; BABIP .306 → .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).

2017 A+St. Lucie Mets · 23 PAwOBA .384 → .320 (−64)K% 17.4% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.39%	÷0.956	×1.420	—	—	25.83%
BB% (unintentional) /PA	21.74%	÷0.957	×0.750	—	×0.988	16.83%
HBP% /PA	0.00%	—	×0.930	—	×0.988	0.00%
Singles /BIP	7.14%	÷0.970	×0.920	—	×0.988	6.69%
Doubles /BIP	14.29%	÷1.056	×0.960	—	×0.988	12.83%
Triples /BIP	0.00%	÷0.900	×0.810	—	×0.988	0.00%
Home runs /BIP	7.14%	÷0.911	×0.880	—	×0.988	6.82%

Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 94, 2B 111, 3B 80, K 91, BB 91 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .384 → .320; ISO .278 → .244; BABIP .231 → .209. 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).

2016 AAALas Vegas 51s · 444 PAwOBA .411 → .349 (−62)K% 16.4% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.44%	÷0.971	×1.290	—	—	21.84%
BB% (unintentional) /PA	10.14%	÷0.962	×0.710	—	×1.050	7.85%
HBP% /PA	0.68%	—	×0.980	—	×1.050	0.70%
Singles /BIP	29.47%	÷0.994	×0.900	×1.021	×1.050	28.59%
Doubles /BIP	7.84%	÷1.128	×0.810	×1.021	×1.050	6.03%
Triples /BIP	2.51%	÷0.980	×0.810	×1.021	×1.050	2.22%
Home runs /BIP	3.45%	÷1.088	×0.780	—	×1.050	2.60%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 99, 2B 126, 3B 96, K 94, BB 92 — 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 ×1.021.

Result: wOBA .411 → .349; ISO .189 → .144; BABIP .411 → .377. 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).

2015 AABinghamton Mets · 302 PAwOBA .320 → .287 (−32)K% 18.2% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.21%	÷0.974	×1.220	—	—	22.82%
BB% (unintentional) /PA	7.95%	÷0.988	×0.700	—	×1.042	5.86%
HBP% /PA	1.99%	—	×0.850	—	×1.042	1.76%
Singles /BIP	27.10%	÷1.030	×0.970	×0.999	×1.042	26.57%
Doubles /BIP	5.61%	÷1.034	×0.860	×0.999	×1.042	4.85%
Triples /BIP	1.40%	÷0.900	×0.950	×0.999	×1.042	1.54%
Home runs /BIP	0.93%	÷1.088	×0.780	—	×1.042	0.70%

Factors used: league row EL. Park (home-season share, regressed): HR 118, 1B 106, 2B 107, 3B 80, K 95, BB 98 — 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 ×0.999.

Result: wOBA .320 → .287; ISO .089 → .078; BABIP .343 → .330. 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).

2015 AAALas Vegas 51s · 112 PAwOBA .359 → .311 (−47)K% 17.9% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.86%	÷0.977	×1.290	—	—	23.57%
BB% (unintentional) /PA	15.18%	÷1.010	×0.710	—	×1.050	11.20%
HBP% /PA	1.79%	—	×0.980	—	×1.050	1.84%
Singles /BIP	23.94%	÷0.983	×0.900	×1.050	×1.050	24.17%
Doubles /BIP	4.23%	÷1.042	×0.810	×1.050	×1.050	3.62%
Triples /BIP	1.41%	÷1.061	×0.810	×1.050	×1.050	1.19%
Home runs /BIP	4.23%	÷1.099	×0.780	—	×1.050	3.15%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 97, 2B 108, 3B 112, K 95, BB 102 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .359 → .311; ISO .154 → .120; BABIP .304 → .295. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jayson Werthlast yr '17 career totals — 15 seasons, 6,366 PA	9.6	6,366	229	132	267	360	455	-68	-36	32.1	29.8
/162	664	24	14	-7.1	-3.7	3.3	pk7: 27
#2Cliff Floyd'93-'09 * career totals — 15 seasons, 6,063 PA	9.1	6,063	233	148	267*	344*	468*	-74	-15	28.6	27.2
/162	664	26	16	-8.1	-1.7	3.1	pk7: 26
#3Aubrey Huff'00-'12 * career totals — 13 seasons, 6,786 PA	10.2	6,786	242	37	270*	335*	458*	-92	-24	23.5	23.6
/162	664	24	4	-9.0	-2.3	2.3	pk7: 24
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 13 projected seasons	9.0	5,965	178	73	262	352	434	-64	-16	26.2	23.1
/162	664	20	8	-7.1	-1.7	2.9	pk7: 20
#4Sixto Lezcano'74-'85 * career totals — 12 seasons, 4,814 PA	7.2	4,814	148	37	267*	359*	476*	-51	-9	24.0	23.1
/162	664	20	5	-7.1	-1.3	3.3	pk7: 22
#5Brad Wilkersonlast yr '08 career totals — 8 seasons, 3,753 PA	5.7	3,753	122	53	247	350	440	-35	-8	15.8	16.3
/162	664	22	9	-6.2	-1.4	2.8	pk7: 17
#6Trot Nixon'96-'08 * career totals — 9 seasons, 4,224 PA	6.4	4,224	137	30	263*	353*	451*	-41	-18	16.1	16.0
/162	664	22	5	-6.5	-2.9	2.5	pk7: 16

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
Brandon Nimmo (OGILVIE)	34	—	—	—	—	260/329/428	168	314	16	9	22%	8%	115	+2.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Midre Cummings 2005 · MLB	33	51	52→50	51→50	50	257/333/427	171	298	19	11	21%	8%	116	+2.5	237/300/392	155	296	19	6	26%	7%	95	+1.0	223/282/365	142	279	19	0	27%	6%	84	+0.1
✕Michael Tucker 2005 · MLB	34	51	49→55	48→55	56	251/332/410	159	294	15	11	20%	11%	110	+2.1	229/315/360	131	272	12	9	19%	11%	93	+0.8	208/300/322	114	250	9	9	20%	11%	78	-0.2
✕Jason Kipnis 2021 · MLB	34	46→56	50→55	49→55	52	234/308/394	160	270	18	8	21%	9%	99	+1.2	234/309/390	156	295	18	7	26%	8%	98	+1.2	215/293/362	147	274	17	2	27%	8%	83	+0.0
✕Roberto Mendez 2007 · AAA	34	53→56	48→45	45	58	262/346/403	141	302	16	9	18%	11%	114	+2.3	245/325/361	116	285	12	8	17%	11%	97	+1.1	237/319/346	110	272	11	6	17%	11%	90	+0.4
✕Josh Reddick 2021 · MLB	34	50→60	48→60	48→50	52	252/311/392	140	275	16	7	15%	8%	99	+1.2	238/291/366	128	286	13	6	21%	7%	85	+0.2	226/266/329	103	281	10	0	23%	5%	66	-0.5
✕Daryle Ward 2009 · MLB	34	50→55	53→60	45→30	55	256/331/438	182	290	19	4	19%	10%	117	+2.6	227/291/363	136	262	16	5	20%	8%	85	+0.2	216/280/332	116	246	15	3	19%	8%	75	-0.2
●Brett Gardner 2018 · MLB	34	53→60	46→55	54→65	56	258/342/394	135	299	13	18	18%	10%	110	+2.1	244/328/414	170	279	18	14	19%	10%	110	+2.1	236/325/415	179	267	19	13	19%	11%	110	+1.5
✕Yadiel Hernandez 2022 · MLB	34	49→54	53→55	46→45	46	254/308/422	168	300	23	7	24%	7%	105	+1.7	249/297/389	140	311	16	7	24%	6%	93	+0.8	266/311/405	139	325	16	4	23%	6%	103	+0.8
✕Marlon Anderson 2008 · MLB	34	52→58	51→55	48→50	51	261/320/429	167	291	18	13	17%	8%	111	+2.1	233/291/358	125	273	12	11	19%	7%	83	+0.1	204/252/267	63	246	4	8	18%	6%	47	-0.6
✕Al Martin 2001 · MLB	33	54→57	50	49→50	48	273/322/435	162	303	17	11	17%	6%	112	+2.2	252/313/394	142	293	14	12	18%	8%	99	+1.3	241/306/363	122	287	10	11	19%	8%	90	+0.3
✕Scott Spiezio 2007 · MLB	34	47→57	53→55	51→45	53	241/320/419	178	273	20	5	20%	9%	108	+1.9	255/331/402	147	295	15	5	18%	9%	109	+2.0	263/346/377	114	304	9	0	16%	10%	109	+0.9
✕Abraham Almonte 2023 · MLB	34	47→55	51→55	46→55	55	239/329/403	164	293	19	10	25%	11%	108	+1.9	216/298/373	157	285	20	10	30%	10%	90	+0.6	153/248/296	143	191	23	6	34%	11%	54	-0.8
✕Seth Smith 2017 · MLB	34	50→55	52→60	46→50	55	252/339/430	178	292	19	2	20%	10%	118	+2.6	251/329/419	168	295	19	5	21%	9%	112	+2.2	250/329/414	164	295	19	3	21%	9%	112	+1.3
●Denard Span 2018 · MLB	34	56→64	47→50	49→55	53	273/332/416	143	294	13	13	12%	8%	112	+2.2	260/334/416	156	291	14	11	15%	9%	112	+2.2	259/344/418	159	294	14	11	16%	10%	117	+2.1
✕Ricky Ledee 2007 · MLB	33	48→47	50→60	50	50	243/308/400	157	282	17	6	20%	8%	99	+1.3	222/277/357	135	272	16	6	24%	7%	78	-0.3	203/253/318	116	249	15	2	25%	6%	60	-1.0
✕Jason Heyward 2024 · MLB	34	49→59	51→55	45→50	51	247/315/412	164	277	18	6	18%	8%	105	+1.7	223/290/389	166	255	20	8	21%	8%	91	+0.7	186/254/345	159	208	20	8	22%	7%	68	-0.3
✕Willie Harris 2011 · MLB	33	44→54	50	52→60	60	222/328/387	165	250	17	14	19%	12%	104	+1.6	211/290/315	104	262	9	11	22%	9%	74	-0.6	199/271/268	69	255	4	9	22%	8%	55	-1.0
✕Robbie Grossman 2023 · MLB	33	46→56	49→50	50	57	228/332/377	149	286	16	13	25%	12%	104	+1.6	229/331/360	131	294	12	7	24%	13%	99	+1.3	225/335/350	125	288	11	4	23%	14%	98	+0.7
✕Mike Tauchman 2024 · MLB	33	49→59	46→55	49→55	58	238/339/367	128	299	13	10	23%	12%	104	+1.6	243/340/369	126	302	13	7	22%	12%	105	+1.7	244/345/366	122	304	13	5	22%	12%	106	+1.2
✕David Peralta 2021 · MLB	33	54→60	53→60	50→45	48	276/330/451	175	319	20	4	21%	7%	119	+2.7	253/309/397	144	301	13	4	20%	7%	99	+1.2	249/305/389	139	296	11	3	19%	7%	96	+0.8

Brandon Nimmo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps