Max Muncy

3B Los Angeles Dodgers

Age 36 L/R 5'10" / 215 lbs MLB HR +8%BB -8% Svc 1.837 · 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	33	MLBLAD	293	.232/.366/.494	15	1	136	2.2
2025	34	AAALAD	25	.318/.400/.500	1	0	88	—	.261/.320/.435
2025	34	MLBLAD	388	.243/.381/.470	19	4	141	2.8
2026	35	MLBLAD	561	.252/.348/.490	29	3	134	4.0
2027PROJ	36	MLBLAD	259	.240/.345/.484	14	2	132	1.6
2028PROJ	37	MLBLAD	175	.226/.331/.452	9	0	120	0.1

Last 3 seasons WAR 9.0 · Next 2 projected WAR 1.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.837First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Ext$2M2030Ext$4M2031Ext$6M

Skills · percentileStatcast 2024-2026

xwOBA90

Barrel%80

Avg EV69

Bat Spd48

Speed43

Form.238/.332/.464 ▼ rolling true talent (60d window) · proj .241/.344/.482

CompsCurtis Granderson (age 37) · Ken Griffey Jr. (age 35) · Russell Branyan (age 36)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 106132vR 141

AVG/OBP/SLG.240 / .345 / .484

PA259

HR14

K%24

BB%12

BABIP263

ISO243

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Tools · Recent Form · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

330.237

POWER

Barrel%

8012.6

Avg EV

6990.4

Bat Spd

4871.1

SPEED

Sprint

4327.2

Recent Formrolling true talent ⓘ

K%24%·24% over 93 PA (60d) · proj 24%

BB%11%▼10% over 93 PA (60d) · proj 12%

ISO.226▼.198 over 81 AB (60d) · proj .241

HR/BB7.3%▼5.1% over 59 BBE (60d) · proj 8.4%

BABIP.272·.321 over 56 BIP (60d) · proj .269

SLASH.238/.332/.464▼proj .241/.344/.482

Platoon Splits2024-2026 · 782 PA

vs LHP

vs RHP

Edge

179

603

—

wRC+

153

▶▶R

wOBA

311

394

▶▶R

ISO

242

252

▶R

BABIP

188

299

▶▶R

28.5%

22.6%

▶▶R

BB%

8.4%

16.6%

▶▶R

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

Status Pre-Arb

MLB Debut 2015

Service 1.837 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+1.5	$12M	+$11M
2028	Pre-Arb	$0.8M	+0.1	$0.4M	+$0.0M (cut)
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
Totals		$0.8M		$12M	+$11M

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)
2012	21	A	Burlington Bees	—	274	229	63	20	2	4	41	37	1	3	1	275	387	432	820	157	309	14	15	365	80	—	—	—	—	—	—
2013	22	AA	Midland RockHounds	—	197	172	43	12	2	4	24	34	0	0	1	250	342	413	755	163	289	17	12	337	69	—	—	—	—	—	—
2013	22	A+	Stockton Ports	—	428	351	100	13	1	21	64	68	7	1	1	285	405	507	912	222	295	16	15	399	102	—	—	—	—	—	—
2013	22	INTL	Mesa Solar Sox	—	60	49	11	0	1	0	10	10	0	0	0	224	356	265	621	41	275	17	17	294	85	—	—	—	—	—	—
2014	23	AA	Midland RockHounds	—	530	434	114	22	3	7	88	92	2	7	2	263	389	376	765	113	314	17	17	349	76	—	—	—	—	—	—
2015	24	MLB	Oakland Athletics	—	112	102	21	8	1	3	9	31	0	0	0	206	270	392	662	186	261	28	8	291	85	-2	+0	-5	-7	+2	-1.1
2015	24	AAA	Nashville Sounds	—	243	212	58	14	1	4	26	58	1	0	1	274	356	406	761	132	351	24	11	338	79	—	—	—	—	—	—
2015	24	INTL	Charros de Jalisco	—	27	25	8	1	0	1	1	6	1	0	0	320	370	480	850	160	389	22	4	379	142	—	—	—	—	—	—
2016	25	MLB	Oakland Athletics	—	133	113	21	2	0	2	20	24	0	0	0	186	308	257	565	71	218	18	15	271	68	-5	+0	+1	+1	+3	0.0
2016	25	AAA	Nashville Sounds	—	268	223	56	7	2	8	35	54	5	5	0	251	365	408	773	157	291	20	13	344	79	—	—	—	—	—	—
2017	26	AAA	Oklahoma City Dodgers	—	379	320	99	20	1	12	54	84	4	3	6	309	415	491	906	181	387	22	14	403	100	—	—	—	—	—	—
2018	27	MLB	Los Angeles Dodgers	—	481	395	104	17	2	35	79	131	5	3	0	263	392	582	975	319	299	27	16	420	166	+38	+1	-9	-9	+10	3.2
2018	27	AAA	Oklahoma City Dodgers	—	38	32	10	2	0	2	6	5	0	0	0	312	421	562	984	250	320	13	16	430	114	—	—	—	—	—	—
2019	28	MLB	Los Angeles Dodgers	—	589	487	122	22	1	35	90	149	8	4	1	251	376	515	891	265	283	25	15	389	151	+36	+0	+1	+2	+13	5.3
2020	29	MLB	Los Angeles Dodgers	—	248	203	39	4	0	12	39	60	4	1	0	192	333	389	722	197	203	24	16	327	105	+2	+0	-5	-4	+5	-0.3
2021	30	MLB	Los Angeles Dodgers	—	592	497	124	26	2	36	83	120	11	2	1	249	369	527	896	278	257	20	14	392	150	+35	+0	-0	-11	+13	3.8
2022	31	MLB	Los Angeles Dodgers	—	565	464	91	22	1	21	90	141	5	2	0	196	333	384	716	188	227	25	16	323	108	+5	+0	-2	+2	+12	1.9
2022	31	AAA	Oklahoma City Dodgers	—	17	14	2	0	0	1	3	6	0	0	0	143	294	357	651	214	143	35	18	299	20	—	—	—	—	—	—
2023	32	MLB	Los Angeles Dodgers	—	579	482	102	17	1	36	85	153	6	1	2	212	337	475	812	263	221	26	15	355	125	+17	-1	-5	+2	+13	2.7
2024	33	MLB	Los Angeles Dodgers	—	293	237	55	17	0	15	45	77	5	1	0	232	366	494	860	262	265	26	15	372	136	+13	+0	+1	+1	+6	2.2
2024	33	AAA	Oklahoma City Baseball Club	—	24	21	6	1	0	1	3	6	0	0	0	286	375	476	851	190	357	25	12	378	81	—	—	—	—	—	—
2025	34	MLB	Los Angeles Dodgers	—	388	313	76	10	2	19	64	83	6	4	0	243	381	470	851	227	264	21	16	375	141	+19	+1	-2	+1	+8	2.8
2025	34	AAA	Oklahoma City Comets	—	25	22	7	1	0	1	3	9	0	0	0	318	400	500	900	182	500	36	12	399	88	—	—	—	—	—	—
2026	35	MLB	Los Angeles Dodgers	—	561	488	123	27	1	29	65	140	7	3	0	252	348	490	838	238	294	25	12	369	134	+23	+1	+2	+2	+12	4.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4541	3781	878	172	11	243	669	1109	57	21	4	232	356	476	832	244	258	24	15	366	134	+183	+3	-23	-19	+98	24.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	21	A MLE	Burlington Bees	—	274	242	53	16	2	3	28	54	1	3	1	219	303	339	641	120	261	20	10	287	80	—	—	—	—	—	—
2013	22	AA MLE	Midland RockHounds	—	197	179	37	9	2	4	17	44	0	0	1	207	276	346	622	140	246	22	9	270	69	—	—	—	—	—	—
2013	22	A+ MLE	Stockton Ports	—	428	377	88	11	1	18	38	87	7	1	1	233	315	411	726	178	243	20	9	319	102	—	—	—	—	—	—
2014	23	AA MLE	Midland RockHounds	—	530	467	104	18	3	6	55	117	2	7	2	223	307	313	620	90	273	22	10	280	76	—	—	—	—	—	—
2015	24	MLB MLE	Oakland Athletics	—	112	102	21	8	1	3	9	31	0	0	0	206	270	392	662	186	261	28	8	294	85	-2	+0	-5	-7	+2	-1.1
2015	24	AAA MLE	Nashville Sounds	—	243	220	53	11	1	4	18	72	1	0	1	241	301	355	656	114	319	30	7	285	79	—	—	—	—	—	—
2016	25	MLB MLE	Oakland Athletics	—	133	114	21	2	0	2	19	24	0	0	0	184	301	254	555	70	218	18	14	269	68	-5	+0	+1	+1	+3	0.0
2016	25	AAA MLE	Nashville Sounds	—	268	232	48	6	2	7	26	69	5	5	0	207	300	341	641	134	247	26	10	285	79	—	—	—	—	—	—
2017	26	AAA MLE	Oklahoma City Dodgers	—	379	337	84	15	1	9	37	108	4	3	6	249	331	380	711	131	339	28	10	316	100	—	—	—	—	—	—
2018	27	MLB MLE	Los Angeles Dodgers	—	481	401	105	18	2	34	73	131	5	3	0	262	382	571	953	309	299	27	15	414	166	+38	+1	-9	-9	+10	3.2
2018	27	AAA MLE	Oklahoma City Dodgers	—	38	35	10	2	0	2	3	7	0	0	0	286	342	514	856	229	273	18	8	336	114	—	—	—	—	—	—
2019	28	MLB MLE	Los Angeles Dodgers	—	589	488	123	23	1	34	89	149	8	4	1	252	376	512	888	260	283	25	15	392	151	+36	+0	+1	+2	+13	5.3
2020	29	MLB MLE	Los Angeles Dodgers	—	248	205	39	4	0	12	37	60	4	1	0	190	325	385	711	195	203	24	15	324	105	+2	+0	-5	-4	+5	-0.3
2021	30	MLB MLE	Los Angeles Dodgers	—	592	502	126	28	2	35	78	120	11	2	1	251	364	524	888	273	257	20	13	390	150	+35	+0	-0	-11	+13	3.8
2022	31	MLB MLE	Los Angeles Dodgers	—	565	465	91	23	1	20	89	141	5	2	0	196	331	378	709	183	227	25	16	328	108	+5	+0	-2	+2	+12	1.9
2022	31	AAA MLE	Oklahoma City Dodgers	—	17	15	2	0	0	1	2	7	0	0	0	133	235	333	569	200	118	41	12	198	20	—	—	—	—	—	—
2023	32	MLB MLE	Los Angeles Dodgers	—	579	486	102	18	1	35	81	153	6	1	2	210	330	467	797	257	221	26	14	352	125	+17	-1	-5	+2	+13	2.7
2024	33	MLB MLE	Los Angeles Dodgers	—	293	240	55	18	0	14	42	77	5	1	0	229	355	479	835	250	265	26	14	369	136	+13	+0	+1	+1	+6	2.2
2024	33	AAA MLE	Oklahoma City Baseball Club	—	24	22	6	1	0	1	2	7	0	0	0	273	333	455	788	182	310	29	8	288	81	—	—	—	—	—	—
2025	34	MLB MLE	Los Angeles Dodgers	—	388	315	76	11	2	18	62	83	6	4	0	241	376	460	836	219	264	21	16	376	141	+19	+1	-2	+1	+8	2.8
2025	34	AAA MLE	Oklahoma City Comets	—	25	23	6	1	0	1	2	11	0	0	0	261	320	435	755	174	439	44	8	298	88	—	—	—	—	—	—
2026	35	MLB MLE	Los Angeles Dodgers	—	561	493	125	29	1	28	60	140	7	3	0	254	343	487	830	233	294	25	11	366	134	+23	+1	+2	+2	+12	4.0
2012	21	A MLE	Burlington Bees	—	274	242	53	16	2	3	28	54	1	3	1	219	303	339	641	120	266	20	10	287	80	—	—	—	—	—	—
2012	21	A RAW	Burlington Bees	—	274	229	63	20	2	4	41	37	1	3	1	275	387	432	820	157	309	14	15	365	80	—	—	—	—	—	—
2013	22	A+ MLE	3 teams	—	685	610	136	22	3	24	60	144	7	1	2	223	300	387	687	164	249	21	9	304	92	—	—	—	—	—	—
2013	22	A+ RAW	3 teams	—	685	572	154	25	4	25	98	112	7	1	2	269	383	458	841	189	291	16	14	372	92	—	—	—	—	—	—
2014	23	AA MLE	Midland RockHounds	—	530	467	104	18	3	6	55	117	2	7	2	223	307	313	620	90	280	22	10	280	76	—	—	—	—	—	—
2014	23	AA RAW	Midland RockHounds	—	530	434	114	22	3	7	88	92	2	7	2	263	389	376	765	113	314	17	17	349	76	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	382	346	79	20	2	8	29	111	2	0	1	228	292	367	659	139	306	29	8	288	81	—	—	—	—	—	—
2015	24	AAA RAW	3 teams	—	382	339	87	23	2	8	36	95	2	0	1	257	332	407	739	150	328	25	9	327	81	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	401	346	70	8	2	10	45	93	5	5	0	202	303	324	627	121	243	23	11	280	75	—	—	—	—	—	—
2016	25	AAA RAW	2 teams	—	401	336	77	9	2	10	55	78	5	5	0	229	346	357	703	128	266	19	14	320	75	—	—	—	—	—	—
2017	26	AAA MLE	Oklahoma City Dodgers	—	379	337	84	15	1	9	37	108	4	3	6	249	331	380	711	131	339	28	10	316	100	—	—	—	—	—	—
2017	26	AAA RAW	Oklahoma City Dodgers	—	379	320	99	20	1	12	54	84	4	3	6	309	415	491	906	181	387	22	14	403	100	—	—	—	—	—	—
2018	27	MLB MLE	2 teams	—	519	436	113	20	2	35	76	138	5	3	0	259	375	555	930	296	294	27	15	409	163	+39	+1	-9	-9	+11	3.3
2018	27	MLB RAW	2 teams	—	519	427	114	19	2	37	85	136	5	3	0	267	395	581	975	314	301	26	16	421	163	+39	+1	-9	-9	+11	3.3
2019	28	MLB MLE	Los Angeles Dodgers	—	589	488	123	23	1	34	89	149	8	4	1	252	376	512	888	260	288	25	15	392	151	+36	+0	+1	+2	+13	5.3
2019	28	MLB RAW	Los Angeles Dodgers	—	589	487	122	22	1	35	90	149	8	4	1	251	376	515	891	265	283	25	15	389	151	+36	+0	+1	+2	+13	5.3
2020	29	MLB MLE	Los Angeles Dodgers	—	248	205	39	4	0	12	37	60	4	1	0	190	325	385	711	195	200	24	15	324	105	+2	+0	-5	-4	+5	-0.3
2020	29	MLB RAW	Los Angeles Dodgers	—	248	203	39	4	0	12	39	60	4	1	0	192	333	389	722	197	203	24	16	327	105	+2	+0	-5	-4	+5	-0.3
2021	30	MLB MLE	Los Angeles Dodgers	—	592	502	126	28	2	35	78	120	11	2	1	251	364	524	888	273	261	20	13	390	150	+35	+0	-0	-11	+13	3.8
2021	30	MLB RAW	Los Angeles Dodgers	—	592	497	124	26	2	36	83	120	11	2	1	249	369	527	896	278	257	20	14	392	150	+35	+0	-0	-11	+13	3.8
2022	31	MLB MLE	2 teams	—	582	480	93	23	1	21	91	148	5	2	0	194	328	377	705	183	227	25	16	324	105	+4	+0	-2	+2	+13	1.7
2022	31	MLB RAW	2 teams	—	582	478	93	22	1	22	93	147	5	2	0	195	332	383	714	188	225	25	16	322	105	+4	+0	-2	+2	+13	1.7
2023	32	MLB MLE	Los Angeles Dodgers	—	579	486	102	18	1	35	81	153	6	1	2	210	330	467	797	257	220	26	14	352	125	+17	-1	-5	+2	+13	2.7
2023	32	MLB RAW	Los Angeles Dodgers	—	579	482	102	17	1	36	85	153	6	1	2	212	337	475	812	263	221	26	15	355	125	+17	-1	-5	+2	+13	2.7
2024	33	MLB MLE	2 teams	—	317	262	61	19	0	15	44	84	5	1	0	233	354	477	831	244	272	26	14	363	132	+12	+0	+1	+1	+7	2.2
2024	33	MLB RAW	2 teams	—	317	258	61	18	0	16	48	83	5	1	0	236	367	492	859	256	273	26	15	372	132	+12	+0	+1	+1	+7	2.2
2025	34	MLB MLE	2 teams	—	413	338	82	11	2	19	64	94	6	4	0	243	373	456	828	213	274	23	15	372	138	+18	+1	-2	+1	+9	2.8
2025	34	MLB RAW	2 teams	—	413	335	83	11	2	20	67	92	6	4	0	248	382	472	854	224	276	22	16	376	138	+18	+1	-2	+1	+9	2.8
2026	35	MLB MLE	Los Angeles Dodgers	—	561	493	125	29	1	28	60	140	7	3	0	254	343	487	830	233	298	25	11	366	134	+23	+1	+2	+2	+12	4.0
2026	35	MLB RAW	Los Angeles Dodgers	—	561	488	123	27	1	29	65	140	7	3	0	252	348	490	838	238	294	25	12	369	134	+23	+1	+2	+2	+12	4.0
2012	21	A MLE	Burlington Bees	—	274	243	53	16	2	3	28	54	1	3	1	218	303	337	640	119	261	20	10	287	80	—	—	—	—	—	—
2013	22	A+ MLE	3 teams	—	685	613	136	22	3	24	60	144	7	1	2	222	300	385	685	163	244	21	9	304	92	—	—	—	—	—	—
2014	23	AA MLE	Midland RockHounds	—	530	468	104	18	3	6	55	117	2	7	2	222	307	312	619	90	273	22	10	280	76	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	382	348	79	20	2	8	29	111	2	0	1	227	292	365	657	138	301	29	8	288	81	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	401	348	70	8	2	10	45	93	5	5	0	201	303	322	625	121	238	23	11	280	75	—	—	—	—	—	—
2017	26	AAA MLE	Oklahoma City Dodgers	—	379	335	84	15	1	9	37	108	4	3	6	251	331	382	713	131	339	28	10	316	100	—	—	—	—	—	—
2018	27	MLB MLE	2 teams	—	519	433	113	20	2	35	76	138	5	3	0	261	375	559	934	298	297	27	15	409	163	—	—	—	—	—	—
2019	28	MLB MLE	Los Angeles Dodgers	—	589	487	123	23	1	34	89	149	8	4	1	253	376	513	889	261	283	25	15	392	151	—	—	—	—	—	—
2020	29	MLB MLE	Los Angeles Dodgers	—	248	205	39	4	0	12	37	60	4	1	0	190	325	385	711	195	203	24	15	324	105	—	—	—	—	—	—
2021	30	MLB MLE	Los Angeles Dodgers	—	592	498	126	28	2	35	78	120	11	2	1	253	364	528	892	275	257	20	13	390	150	—	—	—	—	—	—
2022	31	MLB MLE	2 teams	—	582	481	93	23	1	21	91	148	5	2	0	193	328	376	704	183	224	25	16	324	105	—	—	—	—	—	—
2023	32	MLB MLE	Los Angeles Dodgers	—	579	487	102	18	1	35	81	153	6	1	2	209	330	466	796	257	221	26	14	352	125	—	—	—	—	—	—
2024	33	MLB MLE	2 teams	—	317	265	61	19	0	15	44	84	5	1	0	230	354	472	825	242	268	26	14	363	132	—	—	—	—	—	—
2025	34	MLB MLE	2 teams	—	413	340	82	11	2	19	64	94	6	4	0	241	373	453	825	212	274	23	15	372	138	—	—	—	—	—	—
2026	35	MLB MLE	Los Angeles Dodgers	—	561	489	125	29	1	28	60	140	7	3	0	256	343	491	834	235	294	25	11	366	134	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	MLB MLE	2 teams	—	317	265	61	19	0	15	44	84	5	1	0	230	354	472	825	242	268	26	14	363	132	—	—	—	—	—	—
2025	34	MLB MLE	2 teams	—	413	340	82	11	2	19	64	94	6	4	0	241	373	453	825	212	274	23	15	372	138	—	—	—	—	—	—
2026	35	MLB MLE	Los Angeles Dodgers	—	561	489	125	29	1	28	60	140	7	3	0	256	343	491	834	235	294	25	11	366	134	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	36	MLB MLE	LAD	100%	369	315	75	15	1	19	46	88	5	4	1	242	347	482	829	241	269	24	12	363	132	+14	+0	-1	+1	+8	1.5
▸ 2027 — real world (MLB)
2027	36	MLB CTX	LAD	100%	259	222	53	10	1	14	32	62	3	2	1	240	345	484	830	245	263	24	12	363	132	+10	+0	-1	+1	+6	1.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	37	MLB MLE	LAD	100%	175	150	36	7	1	9	21	43	2	0	0	228	333	450	783	222	257	25	12	345	120	+4	+0	-8	+1	+4	0.1
2028	37	MLB CTX	LAD	100%	175	150	33	6	0	9	21	43	2	0	0	226	331	452	784	226	251	25	12	345	120	+4	+0	-8	+1	+4	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4716	3931	911	178	11	252	690	1152	59	21	4	232	355	475	830	243	257	24	15	365	117	+187	+3	-31	-18	+102	24.8
/ 162G	—	A+C		—	650	542	127	25	2	35	95	159	8	3	1	234	357	482	838	247	261	24	15	365	117	+26	+0	-4	-3	+14	3.4
Career	—	MLE		—	7485	6410	1480	292	25	317	927	1818	83	42	17	231	336	433	768	202	268	24	12	341	117	+197	+3	-32	-17	+108	26.3
/ 162G	—	MLE		—	650	557	128	25	2	28	81	158	7	4	1	230	335	433	768	203	266	24	12	341	117	+26	+0	-4	-2	+14	3.4

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.

2025 AAAOklahoma City Comets · 25 PAwOBA .389 → .298 (−91)K% 36.0% → 42.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.00%	÷1.015	×1.200	—	—	42.56%
BB% (unintentional) /PA	12.00%	÷1.083	×0.690	—	×0.940	7.19%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	38.46%	÷0.951	×0.930	—	×0.940	35.34%
Doubles /BIP	7.69%	÷0.969	×0.830	—	×0.940	6.20%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.940	0.00%
Home runs /BIP	7.69%	÷0.956	×0.700	—	×0.940	5.29%

Factors used: league row International League. Park (home-season share, regressed): HR 91, 1B 90, 2B 94, 3B 130, K 103, BB 117 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average).

Result: wOBA .389 → .298; ISO .182 → .126; BABIP .500 → .439. 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 AAAOklahoma City Baseball Club · 24 PAwOBA .368 → .288 (−80)K% 25.0% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.990	×1.200	—	—	30.29%
BB% (unintentional) /PA	12.50%	÷1.021	×0.690	—	×0.940	7.94%
HBP% /PA	0.00%	—	×0.940	—	×0.940	0.00%
Singles /BIP	26.67%	÷0.977	×0.930	—	×0.940	23.86%
Doubles /BIP	6.67%	÷0.930	×0.830	—	×0.940	5.59%
Triples /BIP	0.00%	÷1.126	×0.970	—	×0.940	0.00%
Home runs /BIP	6.67%	÷0.896	×0.700	—	×0.940	4.89%

Factors used: league row International League. Park (home-season share, regressed): HR 79, 1B 95, 2B 86, 3B 125, K 98, BB 104 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average).

Result: wOBA .368 → .288; ISO .190 → .143; BABIP .357 → .310. 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 AAAOklahoma City Dodgers · 17 PAwOBA .291 → .198 (−93)K% 35.3% → 42.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.29%	÷1.009	×1.200	—	—	41.97%
BB% (unintentional) /PA	17.65%	÷1.073	×0.690	—	×0.952	10.81%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	12.50%	÷1.027	×0.930	—	×0.952	10.77%
Doubles /BIP	0.00%	÷0.958	×0.830	—	×0.952	0.00%
Triples /BIP	0.00%	÷0.955	×0.970	—	×0.952	0.00%
Home runs /BIP	12.50%	÷0.997	×0.700	—	×0.952	8.36%

Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 105, 2B 92, 3B 91, K 102, BB 115 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .291 → .198; ISO .214 → .144; BABIP .143 → .118. 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).

2018 AAAOklahoma City Dodgers · 38 PAwOBA .412 → .336 (−75)K% 13.2% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.16%	÷0.970	×1.290	—	—	17.51%
BB% (unintentional) /PA	13.16%	÷1.021	×0.710	—	×0.992	9.07%
HBP% /PA	0.00%	—	×0.980	—	×0.992	0.00%
Singles /BIP	22.22%	÷0.992	×0.900	—	×0.992	19.99%
Doubles /BIP	7.41%	÷1.029	×0.810	—	×0.992	5.78%
Triples /BIP	0.00%	÷1.020	×0.810	—	×0.992	0.00%
Home runs /BIP	7.41%	÷1.020	×0.780	—	×0.992	5.62%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 98, 2B 106, 3B 104, K 94, BB 104 — 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 .412 → .336; ISO .250 → .197; BABIP .320 → .273. 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 AAAOklahoma City Dodgers · 379 PAwOBA .393 → .316 (−77)K% 22.2% → 28.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.16%	÷1.000	×1.290	—	—	28.60%
BB% (unintentional) /PA	13.98%	÷1.017	×0.710	—	×1.003	9.79%
HBP% /PA	1.06%	—	×0.980	—	×1.003	1.04%
Singles /BIP	27.97%	÷0.978	×0.900	×0.999	×1.003	25.80%
Doubles /BIP	8.47%	÷1.038	×0.810	×0.999	×1.003	6.63%
Triples /BIP	0.42%	÷1.150	×0.810	×0.999	×1.003	0.30%
Home runs /BIP	5.08%	÷0.989	×0.780	—	×1.003	4.02%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 96, 2B 108, 3B 130, K 100, BB 103 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .393 → .316; ISO .181 → .138; BABIP .387 → .339. 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 AAANashville Sounds · 268 PAwOBA .341 → .285 (−56)K% 20.1% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.15%	÷1.004	×1.290	—	—	25.88%
BB% (unintentional) /PA	13.06%	÷0.979	×0.710	—	×1.018	9.64%
HBP% /PA	1.87%	—	×0.980	—	×1.018	1.86%
Singles /BIP	23.08%	÷1.035	×0.900	×0.962	×1.018	19.66%
Doubles /BIP	4.14%	÷0.898	×0.810	×0.962	×1.018	3.66%
Triples /BIP	1.18%	÷1.015	×0.810	×0.962	×1.018	0.92%
Home runs /BIP	4.73%	÷0.856	×0.780	—	×1.018	4.39%

Factors used: league row PCL. Park (home-season share, regressed): HR 71, 1B 107, 2B 80, 3B 103, K 101, BB 96 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .341 → .285; ISO .157 → .141; BABIP .291 → .247. 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 AAANashville Sounds · 243 PAwOBA .333 → .285 (−48)K% 23.9% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.87%	÷1.034	×1.290	—	—	29.76%
BB% (unintentional) /PA	10.29%	÷1.018	×0.710	—	×1.033	7.41%
HBP% /PA	0.41%	—	×0.980	—	×1.033	0.42%
Singles /BIP	25.32%	÷0.953	×0.900	×0.986	×1.033	24.35%
Doubles /BIP	9.09%	÷1.063	×0.810	×0.986	×1.033	7.05%
Triples /BIP	0.65%	÷0.952	×0.810	×0.986	×1.033	0.56%
Home runs /BIP	2.60%	÷0.843	×0.780	—	×1.033	2.48%

Factors used: league row PCL. Park (home-season share, regressed): HR 69, 1B 91, 2B 113, 3B 90, K 107, BB 104 — 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 ×0.986.

Result: wOBA .333 → .285; ISO .132 → .112; BABIP .351 → .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).

2014 AAMidland RockHounds · 530 PAwOBA .341 → .280 (−61)K% 17.4% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.36%	÷0.957	×1.220	—	—	22.12%
BB% (unintentional) /PA	15.66%	÷1.078	×0.700	—	×1.012	10.29%
HBP% /PA	0.38%	—	×0.870	—	×1.012	0.33%
Singles /BIP	23.98%	÷0.982	×0.920	×0.950	×1.012	21.60%
Doubles /BIP	6.43%	÷1.049	×0.840	×0.950	×1.012	4.95%
Triples /BIP	0.88%	÷1.012	×0.940	×0.950	×1.012	0.78%
Home runs /BIP	2.05%	÷0.961	×0.800	—	×1.012	1.73%

Factors used: league row TL. Park (home-season share, regressed): HR 92, 1B 96, 2B 110, 3B 102, K 91, BB 116 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .341 → .280; ISO .113 → .096; BABIP .314 → .273. 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
#1Ken Caminiti'87-'01 * career totals — 15 seasons, 7,125 PA	10.7	7,125	239	88	265*	339*	456*	+22	+5	41.8	38.3
/162	664	22	8	+2.1	+0.5	3.9	pk7: 35
#2Troy Glaus'98-'10 * career totals — 12 seasons, 6,355 PA	9.6	6,355	320	56	244*	347*	477*	+6	-9	38.8	36.5
/162	664	33	6	+0.6	-0.9	4.1	pk7: 34
#3Kris Bryantlast yr '24 career totals — 10 seasons, 4,509 PA	6.8	4,509	184	44	274	370	485	+7	-18	33.7	34.2
/162	664	27	6	+1.0	-2.7	5.0	pk7: 35
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 13 projected seasons	7.5	4,975	265	24	234	352	478	+14	-31	35.3	32.5
/162	664	35	3	+1.9	-4.1	4.7	pk7: 30
#4Matt Carpenterlast yr '24 career totals — 13 seasons, 5,754 PA	8.7	5,754	179	28	259	366	450	-25	-30	31.5	29.9
/162	664	21	3	-2.9	-3.5	3.6	pk7: 28
#5Dan Ugglalast yr '15 career totals — 10 seasons, 5,509 PA	8.3	5,509	235	26	241	336	447	+20	-17	28.7	28.7
/162	664	28	3	+2.4	-2.1	3.5	pk7: 29
#6Howard Johnson'82-'95 * career totals — 14 seasons, 5,715 PA	8.6	5,715	228	231	246*	339*	473*	+18	-66	28.2	27.4
/162	664	26	27	+2.1	-7.7	3.3	pk7: 27

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
Max Muncy (OGILVIE)	36	—	—	—	—	239/344/478	239	269	14	2	24%	12%	132	+1.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Curtis Granderson 2018 · MLB	37	43→53	60→65	47→50	57	235/332/458	223	261	27	7	22%	12%	122	+3.0	226/322/421	195	277	22	5	25%	12%	110	+2.1	218/320/403	185	274	20	2	27%	12%	106	+1.1
★Ken Griffey Jr. 2005 · MLB	35	46→54	64→70	46→45	56	252/341/495	244	265	32	4	20%	11%	134	+3.8	270/340/513	243	278	34	3	17%	9%	138	+4.1	270/341/506	236	275	33	2	16%	9%	137	+3.7
✕Russell Branyan 2012 · MLB	36	43	62→70	49→45	50	236/319/463	227	287	30	5	29%	10%	119	+2.7	244/324/469	225	297	31	6	28%	10%	122	+3.0	233/320/481	249	269	37	2	29%	11%	125	+1.2
●Matt Stairs 2004 · MLB	36	49→55	62→65	42→45	57	266/356/501	236	279	30	4	18%	11%	141	+4.3	265/347/452	187	296	22	3	18%	10%	126	+3.2	265/348/461	196	294	22	1	17%	10%	129	+2.4
●Robinson Chirinos 2019 · MLB	35	44→46	58→60	48→50	50	233/339/438	205	298	26	4	30%	10%	121	+2.9	229/329/416	187	300	22	4	30%	10%	112	+2.2	212/314/387	175	281	21	1	30%	10%	101	+0.6
●Steve Finley 2001 · MLB	36	50→56	64→60	48→50	55	271/345/516	245	268	32	12	14%	9%	140	+4.2	274/340/470	196	287	23	14	14%	9%	127	+3.3	275/345/486	211	281	27	13	13%	9%	134	+3.9
●David Justice 2002 · MLB	36	48→54	62→60	41→40	59	260/344/492	232	267	31	3	17%	11%	134	+3.8	257/350/422	165	283	19	6	16%	12%	120	+2.8	263/369/405	142	291	14	5	14%	14%	124	+2.4
✕Josh Willingham 2013 · MLB	34	47→53	63→65	46→45	55	255/351/495	240	288	31	5	24%	11%	138	+4.1	228/340/420	192	282	24	4	26%	12%	117	+2.6	207/334/376	169	264	21	2	28%	13%	106	+1.3
●Hideki Matsui 2010 · MLB	36	53→59	57→60	42→40	59	277/357/474	197	284	25	2	14%	11%	135	+3.8	254/328/414	160	279	19	2	16%	10%	110	+2.1	242/315/382	140	269	17	0	17%	9%	99	+0.9
✕Ron Gant 2001 · MLB	36	46→45	62→60	43→45	57	251/333/481	230	264	30	8	19%	11%	128	+3.3	251/328/455	204	284	26	9	21%	10%	120	+2.8	254/335/461	207	289	26	8	22%	11%	124	+1.7
✕Tony Clark 2008 · MLB	36	44→54	66→70	47→30	47	252/310/496	245	273	36	3	24%	8%	124	+3.1	230/323/402	172	291	22	5	27%	12%	106	+1.8	200/324/334	134	268	16	0	29%	15%	92	+0.2
✕Kurt Suzuki 2020 · MLB	36	50→60	58→60	40→45	50	265/327/467	202	261	27	2	12%	6%	123	+3.0	241/313/392	151	262	18	4	16%	7%	100	+1.3	217/297/333	116	245	13	1	17%	7%	82	+0.0
●Jeromy Burnitz 2005 · MLB	36	46→51	64→65	41→45	48	256/319/495	239	275	33	7	22%	8%	126	+3.2	251/311/449	198	273	26	5	19%	7%	112	+2.2	244/304/423	179	264	24	4	18%	7%	105	+1.4
✕Ray Lankford 2002 · MLB	35	49	61→60	49→45	54	249/347/482	232	331	27	11	31%	12%	132	+3.7	241/329/417	176	311	19	9	27%	11%	112	+2.2	232/322/377	146	292	15	5	24%	11%	101	+0.5
✕Greg Vaughn 2001 · MLB	36	48→47	62→60	51→50	60	256/357/489	234	293	29	9	23%	13%	138	+4.1	223/322/419	196	264	24	10	24%	12%	109	+2.0	206/307/386	180	242	22	10	25%	12%	98	+0.8
●Carlos Beltrán 2013 · MLB	36	52→60	60→65	47→60	53	275/342/495	220	295	27	9	18%	9%	134	+3.8	269/325/463	194	292	24	5	17%	8%	120	+2.8	267/323/450	183	289	22	2	16%	7%	118	+2.3
●Brandon Belt 2023 · MLB	35	48→58	62→65	46→50	55	255/352/484	230	304	30	5	26%	12%	135	+3.9	251/352/462	211	348	25	4	32%	13%	130	+3.5	251/366/485	234	367	28	0	35%	15%	141	+2.9
●Jermaine Dye 2009 · MLB	35	52→61	64→70	44→45	49	280/337/526	246	293	32	4	18%	7%	140	+4.2	260/334/470	210	281	27	4	18%	9%	126	+3.2	248/336/449	201	266	28	0	19%	11%	123	+2.9
✕Mark Reynolds 2019 · MLB	35	49→56	56→65	43→50	50	251/329/439	189	316	25	3	28%	10%	116	+2.5	226/314/391	165	306	20	8	30%	11%	100	+1.3	159/283/285	126	237	13	7	35%	14%	69	-0.3
●Raul Ibanez 2010 · MLB	38	53→60	59→60	45	51	277/337/498	221	300	27	4	18%	8%	132	+3.7	256/313/441	185	285	21	4	18%	8%	111	+2.1	239/294/442	203	261	27	2	20%	7%	105	+1.4

Max Muncy

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps