Ethan Workinger — OGILVIE

Ethan WorkingerLF Columbus Clingstones

Age 24 R/R 6'0" / 185 lbs AA Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION149 act + 20 ros · stats below = ROS only

showingROS

wRC+†63

AVG/OBP/SLG.211 / .250 / .263

PA20

HR0

K%25

BB%5

BABIP252

ISO53

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 45 / POW 50

Toolsscout grade

CONTACT45

scouting grade only

POWER50

scouting grade only

EYE40

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Arb-1	$0.2M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-5M	+$0.0M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2021	19	ROK	FCL Braves	—	122	102	19	3	3	2	11	33	3	2	1	186	284	333	618	147	233	27	9	268	68	-5	+0	—	—	+3	-0.2
2022	20	A	Augusta GreenJackets	—	70	63	17	4	2	2	6	20	0	1	0	270	333	492	825	222	357	29	9	355	126	+2	+0	—	—	+2	0.4
2022	20	ROK	FCL Braves	—	172	155	37	10	3	4	13	31	3	2	5	239	310	419	729	181	273	18	8	322	104	+1	-2	—	—	+4	0.3
2023	21	A+	Rome Braves	—	201	190	42	13	0	1	9	64	0	0	0	221	256	305	562	84	323	32	4	251	56	-11	+0	—	—	+4	-0.6
2023	21	A	Augusta GreenJackets	—	258	225	65	10	3	11	31	46	2	5	4	289	380	507	887	218	321	18	12	391	150	+15	-1	—	—	+6	2.1
2024	22	AA	Mississippi Braves	—	121	111	23	4	1	1	10	19	0	1	1	207	273	288	561	81	242	16	8	258	61	-6	-0	—	—	+3	-0.3
2024	22	A+	Rome Emperors	—	424	366	98	15	3	11	49	84	3	8	5	268	357	415	772	148	316	20	12	344	119	+10	-0	—	—	+9	1.9
2025	23	AA	Columbus Clingstones	—	493	441	99	19	2	16	43	90	5	12	5	224	299	385	685	161	246	18	9	306	93	-4	+0	—	—	+11	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	19	ROK MLE	FCL Braves	—	122	106	13	2	2	1	7	47	3	2	1	123	198	208	406	85	175	39	6	191	15	-12	+0	—	—	+3	-1.0
2022	20	A MLE	Augusta GreenJackets	—	70	65	13	3	1	1	4	27	0	1	0	200	246	323	569	123	332	39	6	276	73	-2	+0	—	—	+2	-0.1
2022	20	ROK MLE	FCL Braves	—	172	160	27	6	2	3	8	42	3	2	5	169	222	287	510	119	205	24	5	220	35	-13	-2	—	—	+4	-1.1
2023	21	A+ MLE	Rome Braves	—	201	193	33	9	0	1	6	87	0	0	0	171	196	233	429	62	290	43	3	184	11	-21	+0	—	—	+4	-1.7
2023	21	A MLE	Augusta GreenJackets	—	258	236	56	7	2	10	20	66	2	5	4	237	302	411	713	174	289	26	8	309	95	-1	-1	—	—	+6	0.4
2024	22	AA MLE	Mississippi Braves	—	121	114	21	4	1	1	7	23	0	1	1	184	231	263	495	79	220	19	6	214	31	-10	-0	—	—	+3	-0.8
2024	22	A+ MLE	Rome Emperors	—	424	387	88	12	3	11	30	114	3	8	5	227	288	359	647	132	283	27	7	280	76	-12	-0	—	—	+9	-0.4
2025	23	AA MLE	Columbus Clingstones	—	493	457	88	17	2	13	29	108	5	12	5	193	248	324	572	131	219	22	6	249	55	-27	+0	—	—	+11	-1.6
2021	19	ROK MLE	FCL Braves	—	122	106	13	2	2	1	7	47	3	2	1	123	198	208	406	85	188	39	6	191	15	—	—	—	—	—	—
2021	19	ROK RAW	FCL Braves	—	122	102	19	3	3	2	11	33	3	2	1	186	284	333	618	147	233	27	9	268	15	—	—	—	—	—	—
2022	20	ROK MLE	2 teams	—	242	225	41	9	4	4	12	70	3	3	5	182	233	311	544	129	242	29	5	236	46	—	—	—	—	—	—
2022	20	ROK RAW	2 teams	—	242	218	54	14	5	6	19	51	3	3	5	248	317	440	757	193	294	21	8	332	46	—	—	—	—	—	—
2023	21	A MLE	2 teams	—	459	429	87	16	2	10	26	153	2	5	4	203	252	319	571	117	287	33	6	254	58	—	—	—	—	—	—
2023	21	A RAW	2 teams	—	459	415	107	23	3	12	40	110	2	5	4	258	326	414	740	157	322	24	9	329	58	—	—	—	—	—	—
2024	22	A+ MLE	2 teams	—	545	502	109	16	4	12	36	137	3	9	6	217	274	337	610	120	272	25	7	265	66	—	—	—	—	—	—
2024	22	A+ RAW	2 teams	—	545	477	121	19	4	12	59	103	3	9	6	254	338	386	724	132	298	19	11	325	66	—	—	—	—	—	—
2025	23	AA MLE	Columbus Clingstones	—	493	457	88	17	2	13	29	108	5	12	5	193	248	324	572	131	222	22	6	249	55	—	—	—	—	—	—
2025	23	AA RAW	Columbus Clingstones	—	493	441	99	19	2	16	43	90	5	12	5	224	299	385	685	161	246	18	9	306	55	—	—	—	—	—	—
2021	19	ROK MLE	FCL Braves	—	122	111	13	2	2	1	7	47	3	2	1	117	198	198	396	81	175	39	6	191	15	—	—	—	—	—	—
2022	20	ROK MLE	2 teams	—	242	225	41	9	4	4	12	70	3	3	5	182	233	311	544	129	242	29	5	236	46	—	—	—	—	—	—
2023	21	A MLE	2 teams	—	459	428	87	16	2	10	26	153	2	5	4	203	252	320	572	117	289	33	6	254	58	—	—	—	—	—	—
2024	22	A+ MLE	2 teams	—	545	501	109	16	4	12	36	137	3	9	6	218	274	337	611	120	269	25	7	265	66	—	—	—	—	—	—
2025	23	AA MLE	Columbus Clingstones	—	493	456	88	17	2	13	29	108	5	12	5	193	248	325	573	132	219	22	6	249	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A MLE	2 teams	—	459	428	87	16	2	10	26	153	2	5	4	203	252	320	572	117	289	33	6	254	58	—	—	—	—	—	—
2024	22	A+ MLE	2 teams	—	545	501	109	16	4	12	36	137	3	9	6	218	274	337	611	120	269	25	7	265	66	—	—	—	—	—	—
2025	23	AA MLE	Columbus Clingstones	—	493	456	88	17	2	13	29	108	5	12	5	193	248	325	573	132	219	22	6	249	55	—	—	—	—	—	—
YTD	24	AA MLE	ATL	—	149	134	24	3	0	3	13	43	0	5	0	179	252	269	520	90	233	29	9	234	45	-10	+1	+0	-2	+3	-0.7
▸ 2026 season
YTD	24	AA RAW	ATL	—	149	127	26	3	0	4	19	35	0	5	0	205	306	323	629	118	244	23	13	286	45	—	—	—	—	—	—
ROS	24	AA MLE	ATL	2%	20	19	4	1	0	0	1	5	0	0	0	211	250	263	513	53	252	25	5	262	63	-1	+0	+0	-0	+0	-0.1
TOT	24	AA MLE	ATL	—	169	153	28	4	0	3	14	48	0	5	0	183	251	268	519	85	240	28	8	237	47	-11	+1	+0	-2	+4	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	ATL	31%	370	339	71	12	1	10	26	92	2	5	1	209	270	339	609	130	257	25	7	273	71	-13	+1	+0	-4	+8	-0.8
2028	26	MLB MLE	ATL	45%	407	372	80	14	2	11	30	101	2	5	1	215	277	352	629	137	259	25	7	279	75	-12	+1	+0	-4	+9	-0.7
2029	27	MLB MLE	ATL	49%	420	382	82	14	2	11	32	103	3	5	1	215	281	348	629	134	261	25	8	282	77	-12	+1	+0	-4	+9	-0.7
2030	28	MLB MLE	ATL	52%	425	387	84	14	2	12	32	105	3	5	1	217	282	357	639	140	261	25	8	282	77	-12	+1	-1	-5	+9	-0.7
2031	29	MLB MLE	ATL	52%	420	382	82	14	2	11	32	105	3	5	1	215	281	348	629	134	261	25	8	280	76	-12	+1	-1	-4	+9	-0.8
2032	30	MLB MLE	ATL	56%	414	377	80	14	1	11	32	104	2	5	1	212	277	342	620	130	260	25	8	278	74	-13	+1	-2	-4	+9	-1.0
2027	25	MLB CTX	ATL	31%	115	105	22	4	0	3	8	29	1	2	0	210	272	333	605	124	257	25	7	269	71	-4	+0	+0	-1	+2	-0.2
2028	26	MLB CTX	ATL	45%	181	165	36	6	1	5	13	45	1	2	1	218	279	358	637	139	259	25	7	275	75	-5	+0	+0	-2	+4	-0.3
2029	27	MLB CTX	ATL	49%	207	188	41	7	1	6	16	51	1	2	1	218	283	362	645	144	261	25	8	277	77	-6	+0	+0	-2	+4	-0.4
2030	28	MLB CTX	ATL	52%	219	199	43	7	1	6	17	54	1	3	1	216	281	352	633	136	261	25	8	277	77	-6	+0	-0	-2	+5	-0.4
2031	29	MLB CTX	ATL	52%	217	197	42	7	1	6	17	54	1	2	1	213	279	350	629	137	261	25	8	276	76	-6	+0	-1	-2	+5	-0.5
2032	30	MLB CTX	ATL	56%	231	210	45	8	1	6	18	58	1	3	1	214	279	348	627	133	260	25	8	273	74	-7	+0	-1	-2	+5	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1170	1064	229	39	5	32	89	291	6	14	5	215	280	352	631	136	264	25	8	275	66	-35	+1	-2	-13	+25	-2.4
/ 162G	—	A+C		—	650	591	128	22	3	18	49	162	3	8	3	217	280	355	635	139	266	25	8	275	66	-19	+0	-1	-7	+14	-1.3
Career	—	MLE		—	4337	3977	821	143	24	106	295	1130	31	61	27	206	267	334	601	128	258	26	7	266	66	-74	+4	-4	-27	+54	-4.8
/ 162G	—	MLE		—	650	596	123	21	4	16	44	169	5	9	4	206	267	336	602	129	258	26	7	266	66	-19	+1	-1	-7	+14	-1.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.8	1,176	31	14	214	275	348	+4	+8	0.3	0.3
/162	664	18	8	+2.3	+4.2	0.1	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Ethan Workinger (OGILVIE)	24	45	50	50	40	202/260/317	116	252	7	6	25%	7%	63	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jiandido Tromp 2018 · AA	24	43→46	48→50	47→45	38	219/257/367	148	282	15	9	28%	4%	73	-0.6	214/266/321	107	296	9	8	29%	6%	65	-1.2	190/253/261	71	275	5	5	30%	7%	44	-1.6
✕Michael Almanzar 2015 · AAA	24	47→50	45	49→45	41	232/280/355	124	286	13	9	24%	5%	78	-0.3	205/244/296	91	265	8	3	25%	4%	51	-2.3	197/232/280	84	256	8	1	26%	3%	40	-2.3
✕Andre Lipcius 2022 · AA	24	43→49	44→45	48→45	46	214/273/331	117	273	11	7	25%	8%	70	-0.8	230/300/357	127	286	13	8	23%	9%	86	+0.3	229/301/358	129	284	15	7	24%	9%	85	+0.2
✕Tim Tawa 2023 · AA	24	42→44	45→55	49→50	46	211/275/328	117	264	14	12	25%	8%	70	-0.8	213/275/347	134	274	15	11	27%	7%	76	-0.4	224/287/394	170	271	21	14	25%	7%	89	+0.4
✕Jacob Amaya 2023 · AAA	24	42→45	45	49→45	48	211/282/331	121	267	14	6	26%	9%	74	-0.5	208/275/313	105	274	11	8	27%	8%	68	-1.0	185/255/272	87	265	9	9	32%	8%	48	-1.3
✕Russell Mitchell 2009 · AA	24	43→46	49→55	45	40	223/264/368	145	272	16	6	25%	5%	76	-0.4	220/265/357	137	259	15	4	21%	5%	74	-0.6	213/263/351	138	246	15	2	20%	6%	68	-0.8
✕Christian Koss 2022 · A	24	42→45	47→45	50	39	217/262/353	136	282	16	9	29%	5%	72	-0.7	220/264/342	122	294	12	14	29%	4%	70	-0.9	249/300/376	127	307	13	14	23%	5%	89	+0.2
✕Alberth Martinez 2015 · A	24	45→51	45→50	46→45	43	223/272/348	125	270	12	7	22%	6%	74	-0.6	229/275/340	111	281	11	6	22%	5%	73	-0.6	230/275/340	110	281	11	6	22%	5%	70	-0.7
✕Jimmy Govern 2022 · AAA	25	45	47→50	49→45	43	227/279/367	140	267	15	8	21%	5%	82	-0.0	203/251/315	112	256	11	8	25%	5%	59	-1.7	180/228/280	99	227	10	6	25%	4%	39	-1.2
✕Travis Metcalf 2007 · AA	24	43→46	45→50	45	41	214/267/337	123	286	13	8	29%	6%	70	-0.9	209/257/332	123	267	13	5	26%	6%	65	-1.2	198/246/319	121	245	13	2	25%	5%	57	-1.3
✕Kody Hoese 2021 · A	24	47	45	50→40	46	230/289/352	123	282	12	6	23%	7%	82	-0.0	197/240/277	80	263	7	4	27%	5%	45	-2.7	224/281/350	127	280	13	1	24%	7%	76	-0.3
✕Alfredo Marte 2013 · AA	24	47	47→50	45	43	236/285/373	137	280	15	7	22%	5%	84	+0.2	228/284/351	123	291	11	7	25%	6%	79	-0.2	224/285/341	116	296	11	10	27%	7%	76	-0.2
✕Jake Noll 2019 · AA	25	46→50	44→50	48→45	40	231/267/343	112	274	13	7	21%	4%	70	-0.8	235/272/345	110	290	12	6	23%	4%	73	-0.6	225/266/352	127	268	12	5	21%	4%	70	-0.5
✕Diego Rincones 2023 · AA	24	46→50	48→50	47→30	42	234/281/365	131	262	17	3	19%	4%	82	-0.0	224/273/348	124	261	14	5	20%	5%	74	-0.5	204/253/324	120	229	15	0	19%	5%	62	-0.5
✕Will Craig 2019 · AA	24	43→48	46→50	43→40	43	216/285/349	133	284	14	5	28%	7%	80	-0.2	214/274/355	141	284	17	4	30%	6%	77	-0.3	205/265/343	138	270	18	1	30%	6%	68	-0.6
✕Rylan Bannon 2021 · AAA	25	44	46→50	45→50	46	219/284/352	133	275	13	7	25%	8%	80	-0.2	191/272/326	135	244	16	12	28%	9%	70	-0.8	191/289/327	136	253	16	12	29%	11%	75	-0.4
✕Mitch Nay 2019 · AA	25	44→52	44→50	47→30	43	219/276/336	117	279	12	3	26%	6%	73	-0.6	220/279/364	144	278	16	4	26%	7%	80	-0.1	193/257/343	150	249	19	1	30%	7%	65	-0.6
✕Jose Gil 2011 · AA	24	42	44→45	49→45	39	213/255/330	117	271	12	7	26%	4%	63	-1.3	218/272/328	110	265	11	7	22%	6%	70	-0.9	211/269/319	108	248	11	6	19%	7%	64	-0.6
✕Jeff Baisley 2008 · AA	25	45→50	47→50	49→40	44	226/276/364	138	271	15	5	23%	6%	79	-0.2	224/276/347	123	277	12	4	23%	5%	75	-0.5	236/285/364	128	284	13	3	21%	5%	81	-0.0
✕David Thompson 2018 · AA	24	46→48	44→45	45→50	41	227/272/344	117	279	11	7	23%	5%	73	-0.6	207/261/316	109	267	10	11	25%	5%	63	-1.4	175/243/296	122	226	13	16	28%	6%	50	-1.4

Career Stats + Projections

Career Comps

Career Path Comps