Ben Gamel

LF Gwinnett Stripers

Age 35 L/L 5'10" / 180 lbs AAA Svc 11.000 · Ctrl thru 2027

Overview

AAAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	32	AAANYM	190	.314/.428/.538	7	0	97	—	.236/.326/.376
2024	32	MLBHOU	99	.247/.384/.333	1	1	107	-0.3
2025	33	AAA/A+LAA	214	.281/.402/.539	10	2	88	—	.206/.299/.370
2026	34	AAAATL	225	.210/.338/.328	3	2	41	—	.162/.252/.247
2027PROJ10% MLB	35	MLBATL	15	.225/.316/.356	0	0	92	-0.0
2028PROJ	36	MLBATL	110	.212/.303/.329	2	0	81	-0.8

Last 3 seasons WAR -0.3 · Next 2 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service11.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2022-2024

xwOBA63

Avg EV48

Bat Spd42

Barrel%41

Speed37

CompsShamar Almeida (age 35) · Mike Tauchman (age 33) · Nick Martini (age 33)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†92

AVG/OBP/SLG.225 / .316 / .356

PA15

HR0

K%33

BB%13

BABIP319

ISO77

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Contract

ToolsStatcast %ile · 2022-2024

CONTACT

xAVG

420.244

POWER

Barrel%

417.0

Avg EV

4889.0

Bat Spd

4270.5

SPEED

Sprint

3726.9

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

Status FA

MLB Debut 2016

Service 11.000 yrs.days

Team Control Through 2027

First FA Year 2028

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

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	18	ROK	GCL Yankees	—	28	25	7	1	0	0	3	8	0	1	2	280	357	320	677	40	412	29	11	315	29	—	—	—	—	—	—
2012	20	A	Charleston RiverDogs	—	476	444	136	23	5	2	23	71	4	19	10	306	346	394	740	88	356	15	5	329	81	—	—	—	—	—	—
2013	21	AA	Trenton Thunder	—	72	67	16	4	0	1	4	18	0	1	0	239	282	343	625	104	312	25	6	277	48	—	—	—	—	—	—
2013	21	A+	Tampa Yankees	—	423	364	99	28	4	3	48	77	1	21	5	272	358	396	754	124	330	18	11	333	94	—	—	—	—	—	—
2014	22	AA	Trenton Thunder	—	586	544	142	31	3	2	36	88	2	13	5	261	309	340	649	79	306	15	6	292	67	—	—	—	—	—	—
2015	23	AAA	Scranton/Wilkes-Barre RailRiders	—	551	500	150	28	14	10	46	108	1	13	5	300	360	472	832	172	364	20	8	365	103	—	—	—	—	—	—
2015	23	INTL	Leones del Caracas	—	101	87	22	4	0	3	11	18	0	3	1	253	337	402	739	149	275	18	11	323	105	—	—	—	—	—	—
2016	24	MLB	Seattle Mariners	—	57	48	9	2	0	1	6	16	0	0	0	188	278	292	569	104	258	28	11	250	57	-3	+0	-1	-6	+1	-0.9
2016	24	AAA	Scranton/Wilkes-Barre RailRiders	—	533	483	149	26	5	6	43	94	2	19	8	308	367	420	788	112	370	18	8	350	103	—	—	—	—	—	—
2017	25	MLB	Seattle Mariners	—	550	509	140	27	5	11	36	122	1	4	1	275	324	413	737	138	340	22	7	326	108	+5	+0	-8	-7	+12	0.3
2017	25	AAA	Tacoma Rainiers	—	75	60	18	1	1	1	12	11	2	1	1	300	432	400	832	100	347	15	16	379	107	—	—	—	—	—	—
2018	26	MLB	Seattle Mariners	—	293	257	70	14	4	1	31	61	4	7	3	272	360	370	729	97	352	21	11	332	111	+4	+0	-3	-4	+6	0.3
2018	26	AAA	Tacoma Rainiers	—	94	83	29	8	3	1	10	12	0	4	0	349	419	554	974	205	394	13	11	421	143	—	—	—	—	—	—
2018	26	A+	Modesto Nuts	—	21	17	5	1	0	0	4	2	0	1	1	294	429	353	782	59	333	10	19	366	82	—	—	—	—	—	—
2019	27	MLB	Milwaukee Brewers	—	356	311	77	18	0	7	40	104	3	2	2	248	339	373	712	125	347	29	11	323	104	+2	-0	+0	-4	+8	0.5
2019	27	AAA	San Antonio Missions	—	19	14	4	0	0	1	4	3	1	1	0	286	474	500	974	214	300	16	21	438	125	—	—	—	—	—	—
2020	28	MLB	Milwaukee Brewers	—	127	114	27	8	1	3	13	39	0	0	2	237	315	404	718	167	333	31	10	321	106	+1	-1	-1	-1	+3	0.1
2021	29	MLB	Pittsburgh Pirates	—	400	340	84	18	3	8	51	105	3	3	6	247	350	388	738	141	329	26	13	330	108	+4	-2	-12	-4	+9	-0.5
2022	30	MLB	Pittsburgh Pirates	—	423	371	86	20	2	9	48	98	3	5	1	232	325	369	694	137	291	23	11	315	98	-1	+1	-7	-5	+9	-0.4
2022	30	AAA	Indianapolis Indians	—	35	31	7	1	0	1	2	6	2	0	0	226	314	355	669	129	250	17	6	307	44	—	—	—	—	—	—
2023	31	MLB	San Diego Padres	—	15	15	3	1	0	0	0	2	0	0	0	200	200	267	467	67	231	13	0	206	30	-1	+0	-0	-4	+0	-0.5
2023	31	AAA	El Paso Chihuahuas	—	332	273	78	17	1	13	53	73	2	6	4	286	405	498	904	212	342	22	16	396	97	—	—	—	—	—	—
2024	32	MLB	Houston Astros	—	99	81	20	4	0	1	18	24	0	1	0	247	384	333	717	86	339	24	18	337	107	+1	+0	-3	-3	+2	-0.3
2024	32	AAA	Syracuse Mets	—	190	156	49	12	1	7	31	46	0	0	0	314	428	538	966	224	400	24	16	418	97	—	—	—	—	—	—
2025	33	AAA	Salt Lake Bees	—	199	164	45	13	1	8	32	51	3	2	2	274	402	512	914	238	352	26	16	404	88	—	—	—	—	—	—
2025	33	A+	Tri-City Dust Devils	—	15	14	5	1	0	2	1	7	0	0	0	357	400	857	1.257	500	600	47	7	530	90	—	—	—	—	—	—
2026	34	AAA	Gwinnett Stripers	—	225	186	39	9	2	3	33	71	3	2	2	210	338	328	666	118	313	32	15	306	41	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2320	2046	516	112	15	41	243	571	14	22	15	252	336	382	717	130	329	25	10	322	104	+12	-2	-35	-39	+50	-1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	18	ROK MLE	GCL Yankees	—	28	26	5	1	0	0	2	12	0	1	2	192	250	231	481	38	339	43	7	211	29	—	—	—	—	—	—
2012	20	A MLE	Charleston RiverDogs	—	476	452	125	18	5	1	15	98	4	19	10	277	306	345	651	69	344	21	3	288	81	—	—	—	—	—	—
2013	21	AA MLE	Trenton Thunder	—	72	68	15	3	0	1	3	22	0	1	0	221	254	309	562	88	308	31	4	239	48	—	—	—	—	—	—
2013	21	A+ MLE	Tampa Yankees	—	423	375	96	29	3	3	37	105	1	21	5	256	324	373	698	117	329	25	9	307	94	—	—	—	—	—	—
2014	22	AA MLE	Trenton Thunder	—	586	553	139	28	3	2	27	108	2	13	5	251	289	324	612	72	303	18	5	267	67	—	—	—	—	—	—
2015	23	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	551	520	143	27	12	10	26	131	1	13	5	275	311	431	742	156	344	24	5	320	103	—	—	—	—	—	—
2016	24	MLB MLE	Seattle Mariners	—	57	48	9	2	0	1	6	16	0	0	0	188	278	292	569	104	258	28	11	252	57	-3	+0	-1	-6	+1	-0.9
2016	24	AAA MLE	Scranton/Wilkes-Barre RailRiders	—	533	496	146	22	6	5	30	114	2	19	8	294	337	393	730	99	365	21	6	321	103	—	—	—	—	—	—
2017	25	MLB MLE	Seattle Mariners	—	550	510	140	27	5	11	35	122	1	4	1	275	322	412	734	137	340	22	6	328	108	+5	+0	-8	-7	+12	0.3
2017	25	AAA MLE	Tacoma Rainiers	—	75	63	17	1	1	1	9	14	2	1	1	270	378	365	743	95	313	19	12	327	107	—	—	—	—	—	—
2018	26	MLB MLE	Seattle Mariners	—	293	258	70	14	4	1	30	61	4	7	3	271	356	368	724	97	352	21	10	332	111	+4	+0	-3	-4	+6	0.3
2018	26	AAA MLE	Tacoma Rainiers	—	94	87	28	8	3	1	6	15	0	4	0	322	366	517	883	195	374	16	6	379	143	—	—	—	—	—	—
2018	26	A+ MLE	Modesto Nuts	—	21	19	5	1	0	0	2	3	0	1	1	263	333	316	649	53	290	14	10	289	82	—	—	—	—	—	—
2019	27	MLB MLE	Milwaukee Brewers	—	356	313	78	19	0	7	38	104	3	2	2	249	336	377	713	128	347	29	11	322	104	+2	-0	+0	-4	+8	0.5
2019	27	AAA MLE	San Antonio Missions	—	19	15	4	0	0	1	3	4	1	1	0	267	421	467	888	200	267	21	16	353	125	—	—	—	—	—	—
2020	28	MLB MLE	Milwaukee Brewers	—	127	114	28	9	1	3	13	39	0	0	2	246	323	421	744	175	333	31	10	325	106	+1	-1	-1	-1	+3	0.1
2021	29	MLB MLE	Pittsburgh Pirates	—	400	342	84	17	3	9	49	105	3	3	6	246	345	392	737	146	329	26	12	329	108	+4	-2	-12	-4	+9	-0.5
2022	30	MLB MLE	Pittsburgh Pirates	—	423	373	86	19	2	10	46	98	3	5	1	231	320	373	693	142	291	23	11	313	98	-1	+1	-7	-5	+9	-0.4
2022	30	AAA MLE	Indianapolis Indians	—	35	32	6	1	0	1	1	7	2	0	0	188	257	312	570	125	205	20	3	233	44	—	—	—	—	—	—
2023	31	MLB MLE	San Diego Padres	—	15	15	3	1	0	0	0	2	0	0	0	200	200	267	467	67	231	13	0	213	30	-1	+0	-0	-4	+0	-0.5
2023	31	AAA MLE	El Paso Chihuahuas	—	332	290	69	14	1	9	36	89	2	6	4	238	326	386	712	148	301	27	11	311	97	—	—	—	—	—	—
2024	32	MLB MLE	Houston Astros	—	99	82	20	4	0	1	17	24	0	1	0	244	374	329	703	85	339	24	17	327	107	+1	+0	-3	-3	+2	-0.3
2024	32	AAA MLE	Syracuse Mets	—	190	165	39	9	1	4	22	57	0	0	0	236	326	376	702	139	321	30	12	312	97	—	—	—	—	—	—
2025	33	AAA MLE	Salt Lake Bees	—	199	175	36	10	1	5	21	62	3	2	2	206	302	360	662	154	291	31	11	298	88	—	—	—	—	—	—
2025	33	A+ MLE	Tri-City Dust Devils	—	15	14	3	1	0	1	1	9	0	0	0	214	267	500	767	286	456	60	7	301	90	—	—	—	—	—	—
2026	34	AAA MLE	Gwinnett Stripers	—	225	198	32	7	2	2	21	85	3	2	2	162	252	247	500	86	258	38	9	229	41	—	—	—	—	—	—
2010	18	ROK MLE	GCL Yankees	—	28	26	5	1	0	0	2	12	0	1	2	192	250	231	481	38	357	43	7	211	29	—	—	—	—	—	—
2010	18	ROK RAW	GCL Yankees	—	28	25	7	1	0	0	3	8	0	1	2	280	357	320	677	40	412	29	11	315	29	—	—	—	—	—	—
2012	20	A MLE	Charleston RiverDogs	—	476	452	125	18	5	1	15	98	4	19	10	277	306	345	651	69	346	21	3	288	81	—	—	—	—	—	—
2012	20	A RAW	Charleston RiverDogs	—	476	444	136	23	5	2	23	71	4	19	10	306	346	394	740	88	356	15	5	329	81	—	—	—	—	—	—
2013	21	A+ MLE	2 teams	—	495	443	112	32	3	4	40	127	1	22	5	253	316	366	682	113	339	26	8	297	87	—	—	—	—	—	—
2013	21	A+ RAW	2 teams	—	495	431	115	32	4	4	52	95	1	22	5	267	347	387	735	121	327	19	11	325	87	—	—	—	—	—	—
2014	22	AA MLE	Trenton Thunder	—	586	553	139	28	3	2	27	108	2	13	5	251	289	324	612	72	307	18	5	267	67	—	—	—	—	—	—
2014	22	AA RAW	Trenton Thunder	—	586	544	142	31	3	2	36	88	2	13	5	261	309	340	649	79	306	15	6	292	67	—	—	—	—	—	—
2015	23	AAA MLE	2 teams	—	652	613	170	32	15	12	31	155	1	16	6	277	313	437	750	160	350	24	5	320	103	—	—	—	—	—	—
2015	23	AAA RAW	2 teams	—	652	587	172	32	14	13	57	126	1	16	6	293	357	462	818	169	350	19	9	358	103	—	—	—	—	—	—
2016	24	AAA MLE	2 teams	—	590	544	155	24	6	6	36	130	2	19	8	285	332	384	716	99	362	22	6	314	99	—	—	—	—	—	—
2016	24	AAA RAW	2 teams	—	590	531	158	28	5	7	49	110	2	19	8	298	359	409	768	111	361	19	8	341	99	—	—	—	—	—	—
2017	25	MLB MLE	2 teams	—	625	573	157	28	6	12	44	136	3	5	2	274	329	407	736	133	338	22	7	328	108	+6	+0	-8	-7	+14	0.5
2017	25	MLB RAW	2 teams	—	625	569	158	28	6	12	48	133	3	5	2	278	337	411	748	134	341	21	8	332	108	+6	+0	-8	-7	+14	0.5
2018	26	MLB MLE	3 teams	—	408	364	103	23	7	2	38	79	4	12	4	283	357	401	758	118	354	19	9	341	117	+8	+1	-3	-4	+9	1.0
2018	26	MLB RAW	3 teams	—	408	357	104	23	7	2	45	75	4	12	4	291	377	412	789	120	362	18	11	354	117	+8	+1	-3	-4	+9	1.0
2019	27	MLB MLE	2 teams	—	375	328	81	19	0	7	41	108	4	3	2	247	338	369	707	122	344	29	11	323	105	+2	-0	+0	-4	+8	0.7
2019	27	MLB RAW	2 teams	—	375	325	81	18	0	8	44	107	4	3	2	249	346	378	724	129	344	29	12	328	105	+2	-0	+0	-4	+8	0.7
2020	28	MLB MLE	Milwaukee Brewers	—	127	114	28	9	1	3	13	39	0	0	2	246	323	421	744	175	347	31	10	325	106	+1	-1	-1	-1	+3	0.1
2020	28	MLB RAW	Milwaukee Brewers	—	127	114	27	8	1	3	13	39	0	0	2	237	315	404	718	167	333	31	10	321	106	+1	-1	-1	-1	+3	0.1
2021	29	MLB MLE	Pittsburgh Pirates	—	400	342	84	17	3	9	49	105	3	3	6	246	345	392	737	146	323	26	12	329	108	+4	-2	-12	-4	+9	-0.5
2021	29	MLB RAW	Pittsburgh Pirates	—	400	340	84	18	3	8	51	105	3	3	6	247	350	388	738	141	329	26	13	330	108	+4	-2	-12	-4	+9	-0.5
2022	30	MLB MLE	2 teams	—	458	405	91	20	2	10	47	105	5	5	1	225	313	358	671	133	278	23	10	307	94	-3	+1	-7	-5	+10	-0.5
2022	30	MLB RAW	2 teams	—	458	402	93	21	2	10	50	104	5	5	1	231	324	368	692	137	287	23	11	314	94	-3	+1	-7	-5	+10	-0.5
2023	31	AAA MLE	2 teams	—	347	305	72	15	1	9	36	91	2	6	4	236	321	380	701	144	303	26	10	307	94	—	—	—	—	—	—
2023	31	AAA RAW	2 teams	—	347	288	81	18	1	13	53	75	2	6	4	281	397	486	883	205	335	22	15	388	94	—	—	—	—	—	—
2024	32	AAA MLE	2 teams	—	289	247	58	13	1	5	39	81	0	1	0	235	339	356	695	121	325	28	13	317	101	—	—	—	—	—	—
2024	32	AAA RAW	2 teams	—	289	237	69	16	1	8	49	70	0	1	0	291	413	468	881	177	379	24	17	390	101	—	—	—	—	—	—
2025	33	AAA MLE	2 teams	—	214	189	39	11	1	6	22	72	3	2	2	206	299	370	669	164	297	34	10	298	88	—	—	—	—	—	—
2025	33	AAA RAW	2 teams	—	214	178	50	14	1	10	33	58	3	2	2	281	402	539	941	258	364	27	15	412	88	—	—	—	—	—	—
2026	34	AAA MLE	Gwinnett Stripers	—	225	198	32	7	2	2	21	85	3	2	2	162	252	247	500	86	263	38	9	229	41	—	—	—	—	—	—
2026	34	AAA RAW	Gwinnett Stripers	—	225	186	39	9	2	3	33	71	3	2	2	210	338	328	666	118	313	32	15	306	41	—	—	—	—	—	—
2010	18	ROK MLE	GCL Yankees	—	28	26	5	1	0	0	2	12	0	1	2	192	250	231	481	38	339	43	7	211	29	—	—	—	—	—	—
2012	20	A MLE	Charleston RiverDogs	—	476	454	125	18	5	1	15	98	4	19	10	275	306	344	649	68	344	21	3	288	81	—	—	—	—	—	—
2013	21	A+ MLE	2 teams	—	495	451	112	32	3	4	40	127	1	22	5	248	316	359	675	111	326	26	8	297	87	—	—	—	—	—	—
2014	22	AA MLE	Trenton Thunder	—	586	552	139	28	3	2	27	108	2	13	5	252	289	324	613	72	303	18	5	267	67	—	—	—	—	—	—
2015	23	AAA MLE	2 teams	—	652	615	170	32	15	12	31	155	1	16	6	276	313	436	749	159	344	24	5	320	103	—	—	—	—	—	—
2016	24	AAA MLE	2 teams	—	590	547	155	24	6	6	36	130	2	19	8	283	332	382	714	99	355	22	6	314	99	—	—	—	—	—	—
2017	25	MLB MLE	2 teams	—	625	573	157	28	6	12	44	136	3	5	2	274	329	407	736	133	337	22	7	328	108	—	—	—	—	—	—
2018	26	MLB MLE	3 teams	—	408	363	103	23	7	2	38	79	4	12	4	284	357	402	759	118	354	19	9	341	117	—	—	—	—	—	—
2019	27	MLB MLE	2 teams	—	375	327	81	19	0	7	41	108	4	3	2	248	338	370	708	122	343	29	11	323	105	—	—	—	—	—	—
2020	28	MLB MLE	Milwaukee Brewers	—	127	113	28	9	1	3	13	39	0	0	2	248	323	425	748	177	333	31	10	325	106	—	—	—	—	—	—
2021	29	MLB MLE	Pittsburgh Pirates	—	400	345	84	17	3	9	49	105	3	3	6	243	345	388	734	145	329	26	12	329	108	—	—	—	—	—	—
2022	30	MLB MLE	2 teams	—	458	403	91	20	2	10	47	105	5	5	1	226	313	360	673	134	284	23	10	307	94	—	—	—	—	—	—
2023	31	AAA MLE	2 teams	—	347	306	72	15	1	9	36	91	2	6	4	235	321	379	700	144	298	26	10	307	94	—	—	—	—	—	—
2024	32	AAA MLE	2 teams	—	289	248	58	13	1	5	39	81	0	1	0	234	339	355	694	121	327	28	13	317	101	—	—	—	—	—	—
2025	33	AAA MLE	2 teams	—	214	187	39	11	1	6	22	72	3	2	2	209	299	374	673	166	303	34	10	298	88	—	—	—	—	—	—
2026	34	AAA MLE	Gwinnett Stripers	—	225	199	32	7	2	2	21	85	3	2	2	161	252	246	498	85	258	38	9	229	41	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	32	AAA MLE	2 teams	—	289	248	58	13	1	5	39	81	0	1	0	234	339	355	694	121	327	28	13	317	101	—	—	—	—	—	—
2025	33	AAA MLE	2 teams	—	214	187	39	11	1	6	22	72	3	2	2	209	299	374	673	166	303	34	10	298	88	—	—	—	—	—	—
2026	34	AAA MLE	Gwinnett Stripers	—	225	199	32	7	2	2	21	85	3	2	2	161	252	246	498	85	258	38	9	229	41	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	35	MLB MLE	ATL	10%	244	214	48	11	1	5	26	75	2	3	1	225	316	356	672	131	319	31	11	304	92	-2	+0	-0	-3	+5	0.0
▸ 2027 — real world (MLB)
2027	35	MLB CTX	ATL	10%	15	13	3	1	0	0	2	5	0	0	0	225	316	356	672	131	319	33	13	304	92	-0	+0	-0	-0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	36	MLB MLE	ATL	100%	110	96	21	4	1	2	12	35	1	0	0	212	303	329	632	117	306	32	11	288	81	-2	+0	-6	-1	+2	-0.8
2028	36	MLB CTX	ATL	100%	110	96	21	4	1	2	12	35	1	0	0	212	303	329	632	117	306	32	11	288	81	-2	+0	-6	-1	+2	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2430	2142	537	116	16	43	255	606	15	22	15	251	335	380	715	129	328	25	10	321	94	+10	-2	-41	-40	+53	-2.1
/ 162G	—	A+C		—	650	573	144	31	4	12	68	162	4	6	4	251	335	382	717	131	328	25	10	321	94	+3	-0	-11	-11	+14	-0.6
Career	—	MLE		—	6556	5925	1502	308	58	95	529	1613	39	131	61	254	319	373	692	120	330	25	8	307	94	+8	-1	-41	-42	+56	-2.0
/ 162G	—	MLE		—	650	587	149	31	6	9	52	160	4	13	6	254	318	373	691	119	331	25	8	307	94	+2	-0	-10	-10	+14	-0.5

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 AAAGwinnett Stripers · 225 PAwOBA .303 → .229 (−74)K% 31.6% → 37.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.56%	÷1.000	×1.200	—	—	37.87%
BB% (unintentional) /PA	14.67%	÷1.000	×0.690	—	×0.940	9.51%
HBP% /PA	1.33%	—	×0.940	—	×0.940	1.18%
Singles /BIP	21.74%	÷1.000	×0.930	×0.974	×0.940	18.51%
Doubles /BIP	7.83%	÷1.000	×0.830	×0.974	×0.940	5.95%
Triples /BIP	1.74%	÷1.000	×0.970	×0.974	×0.940	1.54%
Home runs /BIP	2.61%	÷1.000	×0.700	—	×0.940	1.72%

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 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .303 → .229; ISO .118 → .088; BABIP .313 → .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).

2025 AAASalt Lake Bees · 199 PAwOBA .393 → .298 (−96)K% 25.6% → 31.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.63%	÷0.978	×1.200	—	—	31.44%
BB% (unintentional) /PA	16.08%	÷0.964	×0.690	—	×0.942	10.84%
HBP% /PA	1.51%	—	×0.940	—	×0.942	1.33%
Singles /BIP	20.35%	÷1.046	×0.930	×1.038	×0.942	17.70%
Doubles /BIP	11.50%	÷1.005	×0.830	×1.038	×0.942	9.29%
Triples /BIP	0.88%	÷1.079	×0.970	×1.038	×0.942	0.78%
Home runs /BIP	7.08%	÷0.989	×0.700	—	×0.942	4.72%

Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 109, 2B 101, 3B 116, K 96, BB 93 — 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 ×1.038.

Result: wOBA .393 → .298; ISO .238 → .171; BABIP .352 → .291. 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 A+Tri-City Dust Devils · 15 PAwOBA .514 → .301 (−213)K% 46.7% → 61.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	46.67%	÷1.019	×1.350	—	—	61.82%
BB% (unintentional) /PA	6.67%	÷0.975	×0.710	—	×0.940	4.56%
HBP% /PA	0.00%	—	×0.810	—	×0.940	0.00%
Singles /BIP	28.57%	÷1.019	×0.910	—	×0.940	23.99%
Doubles /BIP	14.29%	÷0.975	×0.830	—	×0.940	11.43%
Triples /BIP	0.00%	÷0.900	×0.820	—	×0.940	0.00%
Home runs /BIP	28.57%	÷1.000	×0.830	—	×0.940	22.30%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 104, 2B 95, 3B 80, K 104, BB 95 — applied at half strength. Age: age 33 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (10.2 yr older than average).

Result: wOBA .514 → .301; ISO .500 → .282; BABIP .600 → .456. 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 AAASyracuse Mets · 190 PAwOBA .412 → .312 (−100)K% 24.2% → 30.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.21%	÷0.968	×1.200	—	—	30.03%
BB% (unintentional) /PA	16.32%	÷0.933	×0.690	—	×0.952	11.48%
HBP% /PA	0.00%	—	×0.940	—	×0.952	0.00%
Singles /BIP	26.36%	÷1.006	×0.930	×0.950	×0.952	22.05%
Doubles /BIP	10.91%	÷0.972	×0.830	×0.950	×0.952	8.43%
Triples /BIP	0.91%	÷0.900	×0.970	×0.950	×0.952	0.89%
Home runs /BIP	6.36%	÷1.059	×0.700	—	×0.952	4.00%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 101, 2B 94, 3B 80, K 94, BB 87 — 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 ×0.950.

Result: wOBA .412 → .312; ISO .224 → .158; BABIP .400 → .321. 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 AAAEl Paso Chihuahuas · 332 PAwOBA .389 → .311 (−78)K% 22.0% → 26.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.99%	÷0.985	×1.200	—	—	26.80%
BB% (unintentional) /PA	15.66%	÷0.963	×0.690	—	×0.962	10.79%
HBP% /PA	0.60%	—	×0.940	—	×0.962	0.54%
Singles /BIP	23.50%	÷0.958	×0.930	×0.999	×0.962	21.92%
Doubles /BIP	8.50%	÷0.975	×0.830	×0.999	×0.962	6.95%
Triples /BIP	0.50%	÷1.150	×0.970	×0.999	×0.962	0.41%
Home runs /BIP	6.50%	÷1.052	×0.700	—	×0.962	4.16%

Factors used: league row International League. Park (home-season share, regressed): HR 110, 1B 92, 2B 95, 3B 130, K 97, BB 93 — 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 ×0.999.

Result: wOBA .389 → .311; ISO .212 → .152; BABIP .342 → .301. 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 AAAIndianapolis Indians · 35 PAwOBA .299 → .233 (−67)K% 17.1% → 21.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.14%	÷0.982	×1.200	—	—	20.96%
BB% (unintentional) /PA	5.71%	÷1.058	×0.690	—	×0.972	3.62%
HBP% /PA	5.71%	—	×0.940	—	×0.972	5.22%
Singles /BIP	20.00%	÷1.087	×0.930	—	×0.972	16.63%
Doubles /BIP	4.00%	÷0.964	×0.830	—	×0.972	3.35%
Triples /BIP	0.00%	÷0.942	×0.970	—	×0.972	0.00%
Home runs /BIP	4.00%	÷1.013	×0.700	—	×0.972	2.69%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 117, 2B 93, 3B 88, K 96, BB 112 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).

Result: wOBA .299 → .233; ISO .129 → .090; BABIP .250 → .205. 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 AAASan Antonio Missions · 19 PAwOBA .428 → .353 (−75)K% 15.8% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.79%	÷0.979	×1.290	—	—	20.80%
BB% (unintentional) /PA	21.05%	÷1.055	×0.710	—	×1.003	14.21%
HBP% /PA	5.26%	—	×0.980	—	×1.003	5.17%
Singles /BIP	27.27%	÷0.995	×0.900	—	×1.003	24.75%
Doubles /BIP	0.00%	÷1.045	×0.810	—	×1.003	0.00%
Triples /BIP	0.00%	÷0.930	×0.810	—	×1.003	0.00%
Home runs /BIP	9.09%	÷0.977	×0.780	—	×1.003	7.28%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 99, 2B 109, 3B 86, K 96, BB 111 — 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).

Result: wOBA .428 → .353; ISO .214 → .177; BABIP .300 → .267. 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 AAATacoma Rainiers · 94 PAwOBA .411 → .379 (−32)K% 12.8% → 16.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.77%	÷1.031	×1.290	—	—	15.97%
BB% (unintentional) /PA	9.57%	÷1.103	×0.710	—	×1.018	6.27%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	23.94%	÷1.006	×0.900	×1.035	×1.018	22.57%
Doubles /BIP	11.27%	÷0.885	×0.810	×1.035	×1.018	10.87%
Triples /BIP	4.23%	÷0.900	×0.810	×1.035	×1.018	4.01%
Home runs /BIP	1.41%	÷0.918	×0.780	—	×1.018	1.22%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 101, 2B 77, 3B 80, K 106, BB 121 — 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 ×1.035.

Result: wOBA .411 → .379; ISO .205 → .198; BABIP .394 → .374. 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
#1Chris Coghlanlast yr '17 career totals — 9 seasons, 2,905 PA	4.4	2,905	53	47	258	334	398	-23	-40	4.1	5.1
/162	664	12	11	-5.2	-9.2	0.9	pk7: 6
#2Bobby Kieltylast yr '07 career totals — 7 seasons, 2,084 PA	3.1	2,084	53	21	254	348	408	-20	-26	5.0	5.0
/162	664	17	7	-6.4	-8.3	1.6	pk7: 5
#3Robert Fick'98-'07 * career totals — 8 seasons, 2,658 PA	4.0	2,658	69	6	249*	318*	393*	-24	-10	3.9	5.0
/162	664	17	1	-6.0	-2.4	1.0	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	3.7	2,430	43	23	252	332	382	-26	-45	4.6	4.8
/162	664	12	6	-7.1	-12.4	1.3	pk7: 5
#4R. J. Reynolds'83-'90 * career totals — 8 seasons, 2,506 PA	3.8	2,506	35	109	265*	321*	409*	-22	-16	4.1	4.2
/162	664	9	29	-5.7	-4.3	1.1	pk7: 4
#5Jerry Turner'74-'83 * career totals — 7 seasons, 1,931 PA	2.9	1,931	45	45	251*	316*	413*	-22	-11	3.0	3.4
/162	664	15	15	-7.7	-3.7	1.0	pk7: 4
#6Ben Franciscolast yr '13 career totals — 7 seasons, 1,771 PA	2.7	1,771	50	30	253	323	418	-19	-29	1.7	1.7
/162	664	19	11	-7.1	-10.9	0.6	pk7: 2

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
Ben Gamel (OGILVIE)	35	—	—	—	—	223/314/352	130	319	3	2	31%	11%	92	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Shamar Almeida 2007 · AAA	35	45	43→45	46→45	55	219/315/325	107	285	11	8	26%	12%	86	+0.3	234/316/337	103	275	9	5	17%	10%	88	+0.4	249/330/346	97	284	9	2	15%	10%	94	+0.5
✕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
✕Nick Martini 2023 · MLB	33	47→57	45→50	46→45	48	229/310/351	121	293	12	7	25%	8%	89	+0.5	222/301/372	150	271	16	3	24%	8%	91	+0.7	211/294/352	141	254	15	0	23%	8%	83	+0.1
✕Robbie Grossman 2024 · MLB	34	47→57	47→50	48→50	58	230/333/373	143	291	14	8	24%	13%	103	+1.6	231/328/358	127	295	12	8	24%	12%	98	+1.2	212/325/296	84	277	8	7	24%	14%	84	+0.1
✕Michael Tucker 2006 · MLB	35	50→51	47→55	48→55	55	245/324/390	145	284	14	8	19%	10%	103	+1.6	217/308/341	124	262	11	10	20%	11%	86	+0.3	198/298/309	111	241	9	10	21%	11%	74	-0.3
✕Don Kelly 2015 · MLB	35	48→58	41→45	53→55	57	230/310/324	94	260	9	13	15%	10%	83	+0.1	203/275/286	83	244	7	8	19%	9%	61	-1.5	153/214/194	41	195	2	2	21%	7%	15	-2.1
✕Roger Bernadina 2019 · AAA	35	47→57	44→45	53→60	45	227/291/349	122	303	11	18	28%	7%	81	-0.1	245/298/367	122	309	13	10	24%	6%	88	+0.4	269/313/363	95	335	11	4	22%	6%	88	+0.1
✕Travis Snider 2021 · AAA	33	45→55	46→55	47→50	48	220/297/353	133	303	13	8	30%	10%	84	+0.2	199/274/316	117	333	12	11	40%	9%	68	-1.0	124/212/204	80	228	9	9	46%	10%	20	-1.2
✕Roberto Mendez 2008 · AAA	35	53→56	45	48→45	58	260/341/381	121	300	12	8	17%	11%	107	+1.9	237/313/351	114	278	12	7	18%	10%	90	+0.6	242/312/352	110	286	12	3	19%	9%	89	+0.3
✕Curt Casali 2024 · MLB	35	43	43→50	47→30	51	211/304/320	109	285	11	4	28%	10%	81	-0.1	233/322/344	111	290	10	6	22%	10%	93	+0.8	235/335/321	87	290	7	0	19%	11%	92	+0.3
✕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
✕Willie Harris 2012 · MLB	34	47→57	45→50	47→60	58	230/331/358	128	278	12	12	21%	12%	99	+1.3	204/268/303	99	254	9	10	22%	7%	62	-1.4	160/207/226	66	202	4	8	22%	5%	20	-2.4
✕James Adduci 2019 · MLB	34	50→60	44→45	52→60	41	245/283/369	124	316	11	12	26%	5%	82	+0.0	231/268/354	123	305	13	12	28%	5%	74	-0.6	218/247/325	107	289	12	12	29%	4%	57	-1.2
✕Eric Sogard 2021 · MLB	35	50→57	46→45	52→55	53	245/311/374	129	273	13	8	16%	8%	95	+0.9	239/293/350	111	279	10	10	17%	7%	82	-0.0	242/276/304	62	288	3	10	17%	4%	64	-0.4
✕Bobby Scales 2012 · MLB	34	47→55	46→50	44→50	51	230/313/371	141	290	12	9	24%	10%	95	+1.0	247/322/386	139	307	13	11	22%	9%	101	+1.4	293/370/414	122	345	8	8	16%	10%	123	+0.7
✕Chris Dickerson 2017 · MLB	35	50→56	45→50	55→60	44	240/301/365	125	325	12	19	29%	8%	88	+0.5	221/296/350	129	315	12	12	31%	9%	84	+0.1	200/288/321	121	289	11	11	32%	10%	71	-0.4
✕David Newhan 2009 · MLB	35	49→59	48→50	53→55	45	245/292/391	146	288	15	15	21%	6%	91	+0.7	233/280/353	120	288	11	9	22%	6%	78	-0.3	227/273/325	98	283	7	5	22%	5%	68	-0.7
✕Cliff Pennington 2018 · MLB	34	47→54	42→45	49→55	47	229/291/327	97	299	10	8	26%	8%	76	-0.4	198/269/298	100	262	9	10	26%	8%	62	-1.4	157/235/234	77	210	6	9	27%	9%	34	-1.3
✕Chris Gimenez 2018 · MLB	35	44→54	48→50	49→45	51	221/308/360	139	279	16	5	26%	10%	91	+0.7	201/274/317	116	285	12	7	32%	8%	68	-1.0	155/216/231	76	233	7	4	35%	6%	26	-2.0
✕Al Martin 2003 · MLB	35	51→57	49→50	50	52	254/320/406	152	287	16	13	18%	8%	105	+1.7	242/297/366	124	291	11	9	20%	7%	87	+0.4	247/291/350	103	302	7	5	20%	5%	81	-0.0

Ben Gamel

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps