Jake Marisnick

CF Gwinnett Stripers

Age 36 R/R 6'4" / 220 lbs AAA Svc 14.000 · Ctrl thru 2027

Overview

AAAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	32	AAAOklahoma City…	145	.267/.389/.425	2	9	74	—	.206/.306/.317
2023	32	MLBLAD	83	.237/.284/.408	2	2	95	0.4
2024	33	AAA/ROKLAA	248	.286/.373/.549	12	8	81	—	.212/.283/.396
2025	34	AAAATL	45	.098/.178/.195	1	1	-33	—	.095/.156/.190
2026	35	No MLB games played
2027PROJ10% MLB	36	MLBATL	10	.226/.288/.377	0	0	86	0.0
2028PROJ	37	MLBATL	80	.215/.275/.351	2	1	75	-0.7

Last 3 seasons WAR 0.4 · Next 2 projected WAR -0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service14.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2021-2023

Speed84

Bat Spd42

Avg EV39

Barrel%35

xwOBA14

CompsPedro Swann (age 36) · Omar Ramirez (age 36) · Nyjer Morgan (age 36)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†86

AVG/OBP/SLG.226 / .288 / .377

PA10

HR0

K%30

BB%10

BABIP285

ISO149

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractPOW 46

Toolsscout grade · Statcast %ile · 2021-2023

CONTACT—

xAVG

100.208

POWER46

Barrel%

356.2

Avg EV

3988.3

Bat Spd

4270.4

EYE38

scouting grade only

SPEED68

Sprint

8428.8

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

Status FA

MLB Debut 2013

Service 14.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	+0.0	$0.0M	-$1.0M
Totals		$1M		$0.0M	-$1.0M

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)
2010	19	A	Lansing Lugnuts	—	143	127	28	8	2	1	9	37	5	9	2	220	298	339	636	118	303	26	6	286	40	—	—	—	—	—	—
2010	19	ROK	GCL Blue Jays	—	142	122	35	12	0	3	13	18	5	14	1	287	379	459	838	172	311	13	9	370	68	—	—	—	—	—	—
2011	20	A	Lansing Lugnuts	—	523	462	148	27	6	14	43	91	14	37	8	320	395	496	891	175	371	17	8	392	104	—	—	—	—	—	—
2012	21	AA	New Hampshire Fisher Cats	—	247	223	52	11	3	2	11	43	7	14	4	233	290	336	627	103	275	17	4	277	68	—	—	—	—	—	—
2012	21	A+	Dunedin Blue Jays	—	306	266	70	18	7	6	26	55	10	10	5	263	351	451	802	188	309	18	8	352	82	—	—	—	—	—	—
2012	21	INTL	Salt River Rafters	—	80	70	22	3	2	1	3	20	5	5	2	314	385	457	842	143	420	25	4	368	135	—	—	—	—	—	—
2013	22	MLB	Miami Marlins	—	118	109	20	2	1	1	6	27	1	3	1	183	233	248	480	64	232	23	5	217	37	-9	+0	+3	+2	+3	-0.1
2013	22	AA	Jacksonville Suns	—	298	265	78	13	3	12	17	68	11	11	6	294	362	502	864	208	351	23	6	375	103	—	—	—	—	—	—
2013	22	A+	Jupiter Hammerheads	—	15	15	3	1	0	0	0	1	0	0	0	200	200	267	467	67	214	7	0	206	5	—	—	—	—	—	—
2014	23	MLB	Houston Astros	—	237	221	55	8	0	3	8	67	3	11	3	249	284	326	610	77	338	28	3	271	62	-11	+1	+5	-7	+5	-0.7
2014	23	AAA	New Orleans Zephyrs	—	377	343	95	16	4	10	17	64	9	24	6	277	328	434	762	157	314	17	5	332	82	—	—	—	—	—	—
2015	24	MLB	Houston Astros	—	372	339	80	15	4	9	18	105	5	24	9	236	285	383	668	147	310	28	5	290	81	-9	+1	+8	+1	+8	1.0
2016	25	MLB	Houston Astros	—	311	287	60	18	1	5	16	83	3	10	5	209	258	331	589	122	275	27	5	261	60	-15	+0	+12	+1	+7	0.5
2016	25	AAA	Fresno Grizzlies	—	28	27	5	2	0	0	1	10	0	1	1	185	214	259	474	74	294	36	4	214	-12	—	—	—	—	—	—
2017	26	MLB	Houston Astros	—	259	230	56	10	0	16	20	90	6	9	4	243	320	496	816	252	320	35	8	354	124	+7	+0	+5	+1	+6	1.9
2018	27	MLB	Houston Astros	—	235	213	45	8	1	10	15	84	4	6	2	211	275	399	674	188	292	36	6	296	84	-4	+0	+8	+1	+5	1.0
2018	27	AAA	Fresno Grizzlies	—	82	73	25	8	2	4	6	17	2	3	1	342	407	671	1.079	329	396	21	7	457	129	—	—	—	—	—	—
2019	28	MLB	Houston Astros	—	318	292	68	16	3	10	17	95	6	10	3	233	289	411	700	178	310	30	5	307	93	-3	+1	+5	+1	+7	1.1
2020	29	MLB	New York Mets	—	34	33	11	3	0	2	1	10	0	0	0	333	353	606	959	273	429	29	3	416	175	+3	+0	+0	+0	+1	0.4
2021	30	MLB	San Diego Padres	—	198	176	38	7	3	5	11	65	7	4	1	216	289	375	664	159	306	33	6	292	86	-3	+0	+3	+1	+4	0.5
2022	31	MLB	Pittsburgh Pirates	—	82	77	18	6	0	2	4	24	0	2	1	234	272	390	661	156	314	29	5	289	77	-2	+0	+3	+1	+2	0.4
2022	31	AAA	Gwinnett Stripers	—	105	96	23	3	1	1	5	31	4	7	1	240	305	323	628	83	344	30	5	288	31	—	—	—	—	—	—
2023	32	MLB	Los Angeles Dodgers	—	83	76	18	3	2	2	3	21	2	2	3	237	284	408	692	171	296	25	4	298	95	-0	-1	+3	+1	+2	0.4
2023	32	AAA	Oklahoma City Dodgers	—	145	120	32	9	2	2	19	33	5	9	1	267	389	425	814	158	349	23	13	366	74	—	—	—	—	—	—
2024	33	AAA	Salt Lake Bees	—	231	198	56	15	1	12	26	62	2	6	3	283	370	551	921	268	349	27	11	393	82	—	—	—	—	—	—
2024	33	ROK	ACL Angels	—	17	15	5	3	0	0	1	4	1	2	0	333	412	533	945	200	455	24	6	417	68	—	—	—	—	—	—
2025	34	AAA	Gwinnett Stripers	—	45	41	4	1	0	1	3	13	1	1	0	98	178	195	373	98	111	29	7	178	-33	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2247	2053	469	96	15	65	119	671	37	81	32	228	283	385	668	156	304	30	5	293	84	-42	+3	+54	+3	+49	6.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	19	A MLE	Lansing Lugnuts	—	143	130	24	6	2	1	6	50	5	9	2	185	248	285	533	100	281	35	4	228	40	—	—	—	—	—	—
2010	19	ROK MLE	GCL Blue Jays	—	142	127	26	8	0	2	8	26	5	14	1	205	279	315	594	110	236	18	6	269	68	—	—	—	—	—	—
2011	20	A MLE	Lansing Lugnuts	—	523	477	129	20	5	12	28	129	14	37	8	270	329	409	738	138	338	25	5	322	104	—	—	—	—	—	—
2012	21	AA MLE	New Hampshire Fisher Cats	—	247	225	53	10	3	2	9	51	7	14	4	236	286	333	620	98	281	21	4	268	68	—	—	—	—	—	—
2012	21	A+ MLE	Dunedin Blue Jays	—	306	272	58	15	5	5	20	78	10	10	5	213	291	360	652	147	275	25	7	289	82	—	—	—	—	—	—
2013	22	MLB MLE	Miami Marlins	—	118	109	20	2	1	1	6	27	1	3	1	183	233	248	480	64	232	23	5	223	37	-9	+0	+3	+2	+3	-0.1
2013	22	AA MLE	Jacksonville Suns	—	298	270	71	12	2	10	12	81	11	11	6	263	321	433	754	170	326	27	4	321	103	—	—	—	—	—	—
2013	22	A+ MLE	Jupiter Hammerheads	—	15	15	3	1	0	0	0	1	0	0	0	200	200	267	467	67	194	7	0	176	5	—	—	—	—	—	—
2014	23	MLB MLE	Houston Astros	—	237	224	55	8	0	3	5	67	3	11	3	246	272	321	593	76	338	28	2	259	62	-11	+1	+5	-7	+5	-0.7
2014	23	AAA MLE	New Orleans Zephyrs	—	377	348	88	15	4	7	12	82	9	24	6	253	295	379	675	126	299	22	3	289	82	—	—	—	—	—	—
2015	24	MLB MLE	Houston Astros	—	372	339	79	14	4	9	18	105	5	24	9	233	282	378	659	145	310	28	5	287	81	-9	+1	+8	+1	+8	1.0
2016	25	MLB MLE	Houston Astros	—	311	287	59	17	1	5	16	83	3	10	5	206	255	324	579	118	275	27	5	257	60	-15	+0	+12	+1	+7	0.5
2016	25	AAA MLE	Fresno Grizzlies	—	28	27	3	1	0	0	1	13	0	1	1	111	143	148	291	37	257	46	4	151	-12	—	—	—	—	—	—
2017	26	MLB MLE	Houston Astros	—	259	231	55	9	0	16	19	90	6	9	4	238	312	485	797	247	320	35	7	352	124	+7	+0	+5	+1	+6	1.9
2018	27	MLB MLE	Houston Astros	—	235	215	45	8	1	10	14	84	4	6	2	209	270	395	666	186	292	36	6	293	84	-4	+0	+8	+1	+5	1.0
2018	27	AAA MLE	Fresno Grizzlies	—	82	75	20	6	1	3	4	22	2	3	1	267	321	493	814	227	337	27	5	359	129	—	—	—	—	—	—
2019	28	MLB MLE	Houston Astros	—	318	292	67	15	3	10	17	95	6	10	3	229	286	404	690	175	310	30	5	305	93	-3	+1	+5	+1	+7	1.1
2020	29	MLB MLE	New York Mets	—	34	33	11	3	0	2	1	10	0	0	0	333	353	606	959	273	429	29	3	427	175	+3	+0	+0	+0	+1	0.4
2021	30	MLB MLE	San Diego Padres	—	198	176	38	7	3	5	11	65	7	4	1	216	289	375	664	159	306	33	6	296	86	-3	+0	+3	+1	+4	0.5
2022	31	MLB MLE	Pittsburgh Pirates	—	82	78	18	6	0	2	3	24	0	2	1	231	259	385	644	154	314	29	4	281	77	-2	+0	+3	+1	+2	0.4
2022	31	AAA MLE	Gwinnett Stripers	—	105	98	18	2	1	1	3	37	4	7	1	184	238	255	493	71	282	35	3	214	31	—	—	—	—	—	—
2023	32	MLB MLE	Los Angeles Dodgers	—	83	76	18	3	2	2	3	21	2	2	3	237	284	408	692	171	296	25	4	309	95	-0	-1	+3	+1	+2	0.4
2023	32	AAA MLE	Oklahoma City Dodgers	—	145	126	26	7	2	1	13	39	5	9	1	206	306	317	623	111	278	27	9	277	74	—	—	—	—	—	—
2024	33	AAA MLE	Salt Lake Bees	—	231	207	44	10	1	9	18	77	2	6	3	213	282	401	683	188	271	33	8	289	82	—	—	—	—	—	—
2024	33	ROK MLE	ACL Angels	—	17	15	3	2	0	0	1	6	1	2	0	200	294	333	627	133	337	35	6	268	68	—	—	—	—	—	—
2025	34	AAA MLE	Gwinnett Stripers	—	45	42	4	1	0	1	2	16	1	1	0	95	156	190	346	95	91	36	4	120	-33	—	—	—	—	—	—
2010	19	A MLE	2 teams	—	285	257	50	14	2	3	14	76	10	23	3	195	263	300	563	105	261	27	5	248	54	—	—	—	—	—	—
2010	19	A RAW	2 teams	—	285	249	63	20	2	4	22	55	10	23	3	253	338	398	736	145	307	19	8	328	54	—	—	—	—	—	—
2011	20	A MLE	Lansing Lugnuts	—	523	477	129	20	5	12	28	129	14	37	8	270	329	409	738	138	344	25	5	322	104	—	—	—	—	—	—
2011	20	A RAW	Lansing Lugnuts	—	523	462	148	27	6	14	43	91	14	37	8	320	395	496	891	175	371	17	8	392	104	—	—	—	—	—	—
2012	21	A+ MLE	3 teams	—	633	567	129	29	10	8	32	147	22	29	11	228	295	356	651	129	289	23	5	280	75	—	—	—	—	—	—
2012	21	A+ RAW	3 teams	—	633	559	144	32	12	9	40	118	22	29	11	258	332	406	738	148	308	19	6	325	75	—	—	—	—	—	—
2013	22	AA MLE	3 teams	—	431	394	95	15	4	11	18	109	12	14	7	241	295	383	678	142	302	25	4	289	82	—	—	—	—	—	—
2013	22	AA RAW	3 teams	—	431	389	101	16	4	13	23	96	12	14	7	260	321	422	742	162	310	22	5	326	82	—	—	—	—	—	—
2014	23	AAA MLE	2 teams	—	614	572	142	22	4	10	17	149	12	35	9	248	285	353	638	105	316	24	3	278	74	—	—	—	—	—	—
2014	23	AAA RAW	2 teams	—	614	564	150	24	4	13	25	131	12	35	9	266	311	392	703	126	322	21	4	308	74	—	—	—	—	—	—
2015	24	MLB MLE	Houston Astros	—	372	339	79	14	4	9	18	105	5	24	9	233	282	378	659	145	306	28	5	287	81	-9	+1	+8	+1	+8	1.0
2015	24	MLB RAW	Houston Astros	—	372	339	80	15	4	9	18	105	5	24	9	236	285	383	668	147	310	28	5	290	81	-9	+1	+8	+1	+8	1.0
2016	25	MLB MLE	2 teams	—	339	314	62	18	1	5	17	96	3	11	6	197	246	309	554	111	266	28	5	248	54	-19	-0	+12	+1	+7	0.2
2016	25	MLB RAW	2 teams	—	339	314	65	20	1	5	17	93	3	11	6	207	254	325	579	118	276	27	5	257	54	-19	-0	+12	+1	+7	0.2
2017	26	MLB MLE	Houston Astros	—	259	231	55	9	0	16	19	90	6	9	4	238	312	485	797	247	310	35	7	352	124	+7	+0	+5	+1	+6	1.9
2017	26	MLB RAW	Houston Astros	—	259	230	56	10	0	16	20	90	6	9	4	243	320	496	816	252	320	35	8	354	124	+7	+0	+5	+1	+6	1.9
2018	27	MLB MLE	2 teams	—	317	290	65	14	2	13	18	106	6	9	3	224	283	421	704	197	301	33	6	310	96	-2	+1	+8	+1	+7	1.5
2018	27	MLB RAW	2 teams	—	317	286	70	16	3	14	21	101	6	9	3	245	309	469	777	224	324	32	7	338	96	-2	+1	+8	+1	+7	1.5
2019	28	MLB MLE	Houston Astros	—	318	292	67	15	3	10	17	95	6	10	3	229	286	404	690	175	305	30	5	305	93	-3	+1	+5	+1	+7	1.1
2019	28	MLB RAW	Houston Astros	—	318	292	68	16	3	10	17	95	6	10	3	233	289	411	700	178	310	30	5	307	93	-3	+1	+5	+1	+7	1.1
2020	29	MLB MLE	New York Mets	—	34	33	11	3	0	2	1	10	0	0	0	333	353	606	959	273	429	29	3	427	175	+3	+0	+0	+0	+1	0.4
2020	29	MLB RAW	New York Mets	—	34	33	11	3	0	2	1	10	0	0	0	333	353	606	959	273	429	29	3	416	175	+3	+0	+0	+0	+1	0.4
2021	30	MLB MLE	San Diego Padres	—	198	176	38	7	3	5	11	65	7	4	1	216	289	375	664	159	306	33	6	296	86	-3	+0	+3	+1	+4	0.5
2021	30	MLB RAW	San Diego Padres	—	198	176	38	7	3	5	11	65	7	4	1	216	289	375	664	159	306	33	6	292	86	-3	+0	+3	+1	+4	0.5
2022	31	AAA MLE	2 teams	—	187	176	36	8	1	3	6	61	4	9	2	205	247	312	560	108	295	33	3	244	51	—	—	—	—	—	—
2022	31	AAA RAW	2 teams	—	187	173	41	9	1	3	9	55	4	9	2	237	290	353	643	116	330	29	5	289	51	—	—	—	—	—	—
2023	32	AAA MLE	2 teams	—	228	202	44	10	4	3	16	60	7	11	4	218	298	351	649	134	291	26	7	289	81	—	—	—	—	—	—
2023	32	AAA RAW	2 teams	—	228	196	50	12	4	4	22	54	7	11	4	255	351	418	769	163	329	24	10	341	81	—	—	—	—	—	—
2024	33	AAA MLE	2 teams	—	248	222	47	12	1	9	19	82	3	8	3	212	283	396	679	185	286	33	8	288	81	—	—	—	—	—	—
2024	33	AAA RAW	2 teams	—	248	213	61	18	1	12	27	66	3	8	3	286	373	549	922	263	358	27	11	395	81	—	—	—	—	—	—
2025	34	AAA MLE	Gwinnett Stripers	—	45	42	4	1	0	1	2	16	1	1	0	95	156	190	346	95	120	36	4	120	-33	—	—	—	—	—	—
2025	34	AAA RAW	Gwinnett Stripers	—	45	41	4	1	0	1	3	13	1	1	0	98	178	195	373	98	111	29	7	178	-33	—	—	—	—	—	—
2010	19	A MLE	2 teams	—	285	259	50	14	2	3	14	76	10	23	3	193	263	297	561	104	259	27	5	248	54	—	—	—	—	—	—
2011	20	A MLE	Lansing Lugnuts	—	523	476	129	20	5	12	28	129	14	37	8	271	329	410	739	139	338	25	5	322	104	—	—	—	—	—	—
2012	21	A+ MLE	3 teams	—	633	574	129	29	10	8	32	147	22	29	11	225	295	352	647	127	278	23	5	280	75	—	—	—	—	—	—
2013	22	AA MLE	3 teams	—	431	398	95	15	4	11	18	109	12	14	7	239	295	379	674	141	296	25	4	289	82	—	—	—	—	—	—
2014	23	AAA MLE	2 teams	—	614	580	142	22	4	10	17	149	12	35	9	245	285	348	633	103	314	24	3	278	74	—	—	—	—	—	—
2015	24	MLB MLE	Houston Astros	—	372	346	79	14	4	9	18	105	5	24	9	228	282	370	652	142	310	28	5	287	81	—	—	—	—	—	—
2016	25	MLB MLE	2 teams	—	339	316	62	18	1	5	17	96	3	11	6	196	246	307	552	111	274	28	5	248	54	—	—	—	—	—	—
2017	26	MLB MLE	Houston Astros	—	259	232	55	9	0	16	19	90	6	9	4	237	312	483	795	246	320	35	7	352	124	—	—	—	—	—	—
2018	27	MLB MLE	2 teams	—	317	290	65	14	2	13	18	106	6	9	3	224	283	421	704	197	303	33	6	310	96	—	—	—	—	—	—
2019	28	MLB MLE	Houston Astros	—	318	292	67	15	3	10	17	95	6	10	3	229	286	404	690	175	310	30	5	305	93	—	—	—	—	—	—
2020	29	MLB MLE	New York Mets	—	34	33	11	3	0	2	1	10	0	0	0	333	353	606	959	273	429	29	3	427	175	—	—	—	—	—	—
2021	30	MLB MLE	San Diego Padres	—	198	178	38	7	3	5	11	65	7	4	1	213	289	371	659	157	306	33	6	296	86	—	—	—	—	—	—
2022	31	AAA MLE	2 teams	—	187	175	36	8	1	3	6	61	4	9	2	206	247	314	562	109	296	33	3	244	51	—	—	—	—	—	—
2023	32	AAA MLE	2 teams	—	228	203	44	10	4	3	16	60	7	11	4	217	298	350	648	133	285	26	7	289	81	—	—	—	—	—	—
2024	33	AAA MLE	2 teams	—	248	224	47	12	1	9	19	82	3	8	3	210	283	393	676	183	276	33	8	288	81	—	—	—	—	—	—
2025	34	AAA MLE	Gwinnett Stripers	—	45	42	4	1	0	1	2	16	1	1	0	95	156	190	346	95	91	36	4	120	-33	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	33	AAA MLE	2 teams	—	248	224	47	12	1	9	19	82	3	8	3	210	283	393	676	183	276	33	8	288	81	—	—	—	—	—	—
2025	34	AAA MLE	Gwinnett Stripers	—	45	42	4	1	0	1	2	16	1	1	0	95	156	190	346	95	91	36	4	120	-33	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	36	MLB MLE	ATL	10%	153	139	31	6	1	4	11	41	2	3	1	226	288	377	665	151	285	27	7	296	86	-3	+0	+1	+1	+3	0.1
▸ 2027 — real world (MLB)
2027	36	MLB CTX	ATL	10%	10	9	1	0	0	0	1	3	0	0	0	226	288	377	665	151	285	30	10	296	86	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	37	MLB MLE	ATL	100%	80	74	15	3	0	2	5	22	1	1	0	215	275	351	626	136	275	28	6	280	75	-2	+0	-7	+0	+2	-0.7
2028	37	MLB CTX	ATL	100%	80	74	15	3	0	2	5	22	1	1	0	215	275	351	626	136	275	28	6	280	75	-2	+0	-7	+0	+2	-0.7
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2327	2127	484	99	15	67	124	693	38	82	32	228	282	383	665	155	302	30	5	292	81	-44	+4	+48	+3	+50	6.2
/ 162G	—	A+C		—	650	594	136	28	4	19	35	194	11	23	9	229	284	386	670	157	304	30	5	292	81	-12	+1	+13	+1	+14	1.7
Career	—	MLE		—	5206	4745	1088	218	44	125	265	1444	120	237	74	229	287	373	660	144	300	28	5	288	81	-46	+4	+48	+4	+52	6.3
/ 162G	—	MLE		—	650	592	136	27	5	16	33	180	15	30	9	230	287	373	660	144	300	28	5	288	81	-12	+1	+13	+1	+14	1.7

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.

2025 AAAGwinnett Stripers · 45 PAwOBA .173 → .120 (−53)K% 28.9% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.89%	÷0.976	×1.200	—	—	35.51%
BB% (unintentional) /PA	6.67%	÷1.140	×0.690	—	×0.940	3.79%
HBP% /PA	2.22%	—	×0.940	—	×0.940	1.96%
Singles /BIP	7.14%	÷0.968	×0.930	—	×0.940	6.45%
Doubles /BIP	3.57%	÷1.162	×0.830	—	×0.940	2.40%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.940	0.00%
Home runs /BIP	3.57%	÷0.961	×0.700	—	×0.940	2.44%

Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 94, 2B 132, 3B 80, K 95, BB 128 — 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 .173 → .120; ISO .098 → .063; BABIP .111 → .091. 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 AAASalt Lake Bees · 231 PAwOBA .386 → .289 (−97)K% 26.8% → 33.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.84%	÷0.971	×1.200	—	—	33.18%
BB% (unintentional) /PA	11.26%	÷0.944	×0.690	—	×0.942	7.75%
HBP% /PA	0.87%	—	×0.940	—	×0.942	0.77%
Singles /BIP	20.59%	÷1.030	×0.930	×1.004	×0.942	17.58%
Doubles /BIP	11.03%	÷1.141	×0.830	×1.004	×0.942	7.59%
Triples /BIP	0.74%	÷1.150	×0.970	×1.004	×0.942	0.59%
Home runs /BIP	8.82%	÷0.886	×0.700	—	×0.942	6.56%

Factors used: league row International League. Park (home-season share, regressed): HR 77, 1B 106, 2B 128, 3B 130, K 94, BB 89 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .386 → .289; ISO .268 → .194; BABIP .349 → .271. 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 ROKACL Angels · 17 PAwOBA .406 → .268 (−139)K% 23.5% → 33.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.004	×1.440	—	—	33.76%
BB% (unintentional) /PA	5.88%	÷1.026	×0.620	—	×0.940	3.34%
HBP% /PA	5.88%	—	×0.720	—	×0.940	3.98%
Singles /BIP	18.18%	÷0.958	×0.820	—	×0.940	14.62%
Doubles /BIP	27.27%	÷0.966	×0.720	—	×0.940	19.10%
Triples /BIP	0.00%	÷1.053	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷0.895	×0.780	—	×0.940	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 92, 2B 93, 3B 111, K 101, BB 105 — applied at half strength. Age: age 33 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (13.5 yr older than average).

Result: wOBA .406 → .268; ISO .200 → .128; BABIP .455 → .337. 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 AAAOklahoma City Dodgers · 145 PAwOBA .360 → .277 (−83)K% 22.8% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.76%	÷1.003	×1.200	—	—	27.23%
BB% (unintentional) /PA	13.10%	÷0.976	×0.690	—	×0.952	8.82%
HBP% /PA	3.45%	—	×0.940	—	×0.952	3.09%
Singles /BIP	21.84%	÷1.021	×0.930	×0.952	×0.952	18.03%
Doubles /BIP	10.34%	÷0.983	×0.830	×0.952	×0.952	7.91%
Triples /BIP	2.30%	÷1.150	×0.970	×0.952	×0.952	1.76%
Home runs /BIP	2.30%	÷1.006	×0.700	—	×0.952	1.52%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 104, 2B 97, 3B 130, K 101, BB 95 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.952.

Result: wOBA .360 → .277; ISO .158 → .118; BABIP .349 → .278. 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 AAAGwinnett Stripers · 105 PAwOBA .281 → .214 (−67)K% 29.5% → 35.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.52%	÷1.002	×1.200	—	—	35.37%
BB% (unintentional) /PA	4.76%	÷0.998	×0.690	—	×0.962	3.17%
HBP% /PA	3.81%	—	×0.940	—	×0.962	3.44%
Singles /BIP	27.69%	÷1.018	×0.930	×0.950	×0.962	23.13%
Doubles /BIP	4.62%	÷0.966	×0.830	×0.950	×0.962	3.62%
Triples /BIP	1.54%	÷1.150	×0.970	×0.950	×0.962	1.19%
Home runs /BIP	1.54%	÷0.981	×0.700	—	×0.962	1.06%

Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 104, 2B 93, 3B 130, K 100, BB 100 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .281 → .214; ISO .083 → .058; BABIP .344 → .282. 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 AAAFresno Grizzlies · 82 PAwOBA .449 → .359 (−90)K% 20.7% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.73%	÷0.982	×1.290	—	—	27.22%
BB% (unintentional) /PA	7.32%	÷1.025	×0.710	—	×1.003	5.09%
HBP% /PA	2.44%	—	×0.980	—	×1.003	2.40%
Singles /BIP	19.64%	÷0.962	×0.900	×0.985	×1.003	18.17%
Doubles /BIP	14.29%	÷0.974	×0.810	×0.985	×1.003	11.74%
Triples /BIP	3.57%	÷1.150	×0.810	×0.985	×1.003	2.49%
Home runs /BIP	7.14%	÷0.951	×0.780	—	×1.003	5.88%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 92, 2B 95, 3B 130, K 96, BB 105 — 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 ×0.985.

Result: wOBA .449 → .359; ISO .329 → .252; BABIP .396 → .337. 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 AAAFresno Grizzlies · 28 PAwOBA .208 → .151 (−57)K% 35.7% → 46.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.71%	÷0.996	×1.290	—	—	46.24%
BB% (unintentional) /PA	3.57%	÷1.008	×0.710	—	×1.033	2.60%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	17.65%	÷1.000	×0.900	—	×1.033	16.41%
Doubles /BIP	11.76%	÷1.061	×0.810	—	×1.033	9.28%
Triples /BIP	0.00%	÷1.150	×0.810	—	×1.033	0.00%
Home runs /BIP	0.00%	÷1.040	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 100, 2B 112, 3B 130, K 99, BB 102 — 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).

Result: wOBA .208 → .151; ISO .074 → .049; BABIP .294 → .257. 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 AAANew Orleans Zephyrs · 377 PAwOBA .323 → .289 (−35)K% 17.0% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.98%	÷1.008	×1.290	—	—	21.72%
BB% (unintentional) /PA	4.24%	÷1.007	×0.710	—	×1.050	3.14%
HBP% /PA	2.39%	—	×0.980	—	×1.050	2.46%
Singles /BIP	23.30%	÷0.980	×0.900	×1.006	×1.050	22.60%
Doubles /BIP	5.73%	÷0.923	×0.810	×1.006	×1.050	5.31%
Triples /BIP	1.43%	÷0.900	×0.810	×1.006	×1.050	1.36%
Home runs /BIP	3.58%	÷1.098	×0.780	—	×1.050	2.67%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 96, 2B 85, 3B 80, K 102, 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 ×1.006.

Result: wOBA .323 → .289; ISO .157 → .128; BABIP .314 → .299. 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
#1Juan Lagareslast yr '22 career totals — 9 seasons, 2,508 PA	3.8	2,508	31	45	250	291	360	+8	+49	7.3	7.7
/162	664	8	12	+2.1	+13.0	1.9	pk7: 8
#2Peter Bourjoslast yr '17 career totals — 8 seasons, 2,241 PA	3.4	2,241	42	66	241	298	382	-0	+38	7.4	7.5
/162	664	12	20	-0.1	+11.3	2.2	pk7: 8
#3Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#4Ruben Rivera'95-'03 * career totals — 7 seasons, 1,818 PA	2.7	1,818	64	50	206*	292*	376*	-1	+20	4.0	4.0
/162	664	23	18	-0.3	+7.2	1.5	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	3.5	2,302	65	82	225	277	378	+7	+54	3.0	3.5
/162	664	19	24	+2.0	+15.6	0.9	pk7: 4
#5Tony Scott'73-'84 * career totals — 9 seasons, 3,047 PA	4.6	3,047	17	125	243*	294*	352*	-0	+13	1.4	2.9
/162	664	4	27	-0.0	+2.8	0.3	pk7: 4
#6Rick Bosetti'76-'82 * career totals — 5 seasons, 1,656 PA	2.5	1,656	17	30	243*	286*	358*	+3	+16	0.6	0.6
/162	664	7	12	+1.4	+6.5	0.2	pk7: 1

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Jake Marisnick (OGILVIE)	36	—	46	68	38	224/286/374	149	285	3	2	27%	7%	86	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Pedro Swann 2007 · AAA	36	48→44	48→50	55→45	42	241/292/388	147	295	14	12	23%	5%	91	+0.6	227/273/348	121	289	12	10	25%	5%	74	-0.5	209/248/310	102	267	10	6	25%	4%	55	-1.1
✕Omar Ramirez 2007 · AAA	36	49→47	48→50	51→50	50	244/303/389	145	268	15	10	16%	7%	95	+1.0	241/300/359	118	272	12	12	16%	7%	87	+0.4	249/303/316	67	272	8	13	11%	7%	75	-0.1
✕Nyjer Morgan 2016 · MLB	36	47→57	45	53→65	48	232/294/356	124	283	13	15	23%	8%	84	+0.1	235/301/356	121	271	12	20	17%	7%	87	+0.4	232/300/343	111	265	10	26	16%	7%	82	-0.0
✕Curtis Pride 2005 · MLB	36	48	45	51→55	43	238/292/367	129	300	12	12	24%	6%	86	+0.3	232/305/361	129	313	12	18	27%	9%	89	+0.5	222/299/340	118	307	10	21	29%	9%	81	-0.0
✕Terry Shumpert 2002 · MLB	35	53	48→50	59→55	50	264/323/425	161	294	14	21	16%	7%	110	+2.1	237/308/386	149	267	14	13	17%	8%	96	+1.0	226/299/358	132	250	13	9	15%	8%	87	+0.2
✕Angel Berroa 2013 · AAA	36	45→55	44→50	50	40	225/264/347	121	273	11	11	22%	4%	70	-0.8	243/287/381	138	289	15	6	21%	4%	87	+0.4	243/286/379	136	286	15	4	21%	4%	84	+0.1
✕Mark Little 2006 · MLB	34	42	51→55	52→55	40	219/289/380	161	284	19	19	30%	6%	89	+0.5	226/308/346	120	311	11	15	29%	7%	88	+0.5	221/318/307	86	323	4	13	29%	6%	80	-0.1
✕Cody Ransom 2012 · MLB	36	40→39	53→55	49→50	43	216/276/392	176	272	21	10	29%	7%	86	+0.3	217/295/406	189	302	23	6	34%	9%	97	+1.1	188/264/357	169	260	22	1	35%	9%	75	-0.2
✕Yuniesky Betancourt 2017 · AAA	35	46→56	43→50	50	45	225/277/338	113	267	11	12	20%	6%	74	-0.6	224/259/306	82	249	7	7	13%	4%	58	-1.7	224/242/258	35	243	2	0	9%	2%	39	-1.1
✕Willy Taveras 2017 · AAA	35	51→61	41→45	58→65	44	244/294/345	101	290	7	24	18%	5%	81	-0.1	241/294/353	112	295	10	19	21%	4%	83	+0.1	242/295/349	106	300	10	22	22%	3%	80	-0.1
✕Alcides Escobar 2022 · MLB	35	51→61	43→45	51→55	43	249/295/368	119	295	10	7	19%	5%	87	+0.4	239/292/353	114	299	9	9	22%	6%	82	+0.0	221/262/291	71	297	0	5	24%	4%	56	-0.4
✕Tom Prince 2001 · MLB	36	49	46→50	50→45	51	239/315/373	135	292	12	8	22%	9%	97	+1.1	230/306/381	151	259	17	8	19%	8%	95	+1.0	217/295/364	147	239	18	7	18%	7%	88	+0.1
✕Vinny Rottino 2015 · MLB	35	46→56	46→45	51→55	46	231/281/359	129	264	13	16	18%	6%	80	-0.2	210/273/303	93	271	9	4	24%	7%	64	-1.3	198/264/276	78	255	8	1	24%	7%	53	-1.4
✕Scott Bullett 2006 · AAA	37	48→53	53→60	55→50	43	249/293/425	176	284	22	14	21%	5%	100	+1.3	254/293/406	152	304	18	9	22%	5%	95	+1.0	267/298/410	143	319	18	4	22%	4%	95	+0.7
✕Mike Coolbaugh 2006 · AAA	34	41→39	52→55	53→50	41	218/266/379	160	262	21	10	26%	6%	79	-0.2	211/277/349	138	265	16	9	26%	7%	77	-0.3	171/258/278	106	213	13	4	26%	9%	52	-1.0
✕Andrew Romine 2021 · MLB	35	46→55	42→40	55	43	225/272/327	102	272	10	19	21%	5%	69	-0.9	231/281/321	90	298	8	9	24%	6%	70	-0.8	235/280/294	59	309	3	3	24%	5%	61	-0.8
✕Manny Rodriguez 2019 · AAA	37	48→58	45→50	52→50	46	239/284/363	124	264	13	18	16%	5%	82	-0.0	210/257/302	92	247	9	6	18%	6%	57	-1.8	193/238/264	70	226	7	0	18%	5%	39	-2.7
✕Gerald Williams 2005 · MLB	38	44→53	49→50	53→55	47	224/275/377	153	252	16	14	19%	6%	82	-0.0	222/270/375	153	251	16	11	19%	6%	80	-0.2	191/225/338	147	210	14	9	18%	4%	52	-0.7
✕Grégor Blanco 2019 · MLB	35	46→56	41→45	56→60	48	223/287/326	104	289	8	18	25%	8%	74	-0.5	212/276/340	128	270	14	13	26%	8%	74	-0.5	188/257/314	126	232	16	13	26%	8%	60	-1.1
✕Dewayne Wise 2013 · MLB	35	47→40	49→60	59→55	40	240/278/396	156	290	17	27	24%	4%	87	+0.4	228/274/363	135	288	14	18	25%	5%	78	-0.3	188/221/274	85	256	5	9	28%	3%	36	-0.7

Jake Marisnick

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps