DJ Stewart

RF Indianapolis Indians

Age 33 L/R 5'11" / 230 lbs AAA HR -15%K -5% Svc 9.000 · 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	29	AAANYM	229	.229/.364/.516	16	0	79	—	.176/.281/.367
2023	29	MLBNYM	185	.244/.333/.506	11	1	137	0.4
2024	30	AAANYM	106	.280/.438/.451	3	5	93	—	.216/.343/.330
2024	30	MLBNYM	194	.177/.326/.297	5	1	89	-0.5
2025	31	AAAPIT	159	.125/.247/.257	5	1	-3	—	.097/.177/.194
2026	32	No MLB games played
2027PROJ10% MLB	33	MLBPIT	17	.201/.300/.347	0	0	87	-0.0
2028PROJ6% MLB	34	MLBPIT	8	.191/.289/.326	0	0	78	-0.0

Last 3 seasons WAR -0.0 · Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service9.000First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2022-2024

xwOBA71

Barrel%63

Bat Spd52

Avg EV49

Speed40

CompsAndy Tracy (age 33) · Ryan Langerhans (age 33) · Kevin Barker (age 33)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†87

AVG/OBP/SLG.201 / .300 / .347

PA17

HR0

K%29

BB%12

BABIP255

ISO67

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 40 / POW 50

Toolsscout grade · Statcast %ile · 2022-2024

CONTACT40

xAVG

100.218

POWER50

Barrel%

6310.1

Avg EV

4989.1

Bat Spd

5271.5

EYE60

scouting grade only

SPEED50

Sprint

4027.0

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

Status FA

MLB Debut 2018

Service 9.000 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)
2016	22	A+	Frederick Keys	—	240	201	56	12	2	6	36	46	1	10	3	279	391	448	839	169	333	19	15	373	80	—	—	—	—	—	—
2016	22	A	Delmarva Shorebirds	—	262	213	49	12	1	4	42	58	5	16	6	230	369	352	721	122	294	22	16	333	62	—	—	—	—	—	—
2016	22	INTL	Peoria Javelinas	—	99	78	19	6	1	1	19	21	1	4	2	244	398	385	783	141	316	21	19	357	128	—	—	—	—	—	—
2017	23	AA	Bowie Baysox	—	540	457	127	26	2	21	65	87	12	20	4	278	382	481	863	204	299	16	12	380	105	—	—	—	—	—	—
2018	24	MLB	Baltimore Orioles	—	47	40	10	3	0	3	4	12	2	2	1	250	348	550	898	300	269	26	9	382	137	+2	+0	+0	-6	+1	-0.2
2018	24	AAA	Norfolk Tides	—	490	421	99	24	2	12	54	103	8	11	4	235	333	387	721	152	278	21	11	322	73	—	—	—	—	—	—
2019	25	MLB	Baltimore Orioles	—	142	126	30	6	0	4	14	26	1	1	2	238	319	381	700	143	268	18	10	314	91	-1	-1	-4	-5	+3	-0.8
2019	25	AAA	Norfolk Tides	—	277	230	67	19	2	12	38	51	4	5	4	291	401	548	949	257	324	18	14	407	118	—	—	—	—	—	—
2019	25	AA	Bowie Baysox	—	17	13	4	1	0	1	3	2	1	0	0	308	471	615	1.086	308	300	12	18	471	145	—	—	—	—	—	—
2019	25	ROK	GCL Orioles	—	20	15	2	0	0	2	4	5	1	0	0	133	350	533	883	400		25	20	384	55	—	—	—	—	—	—
2020	26	MLB	Baltimore Orioles	—	112	88	17	2	0	7	20	38	2	0	0	193	355	455	809	261	233	34	18	355	118	+2	+0	-1	-1	+2	0.3
2021	27	MLB	Baltimore Orioles	—	318	270	55	10	0	12	44	89	4	0	0	204	324	374	698	170	254	28	14	319	95	-2	+0	-5	-3	+7	-0.4
2022	28	AAA	Norfolk Tides	—	105	86	22	2	0	6	16	28	3	2	0	256	390	488	879	233	308	27	15	391	89	—	—	—	—	—	—
2022	28	ROK	FCL Orioles	—	18	14	6	1	0	0	3	1	1	0	0	429	556	500	1.056	71	462	6	17	480	128	—	—	—	—	—	—
2023	29	MLB	New York Mets	—	185	160	39	9	0	11	15	56	7	1	1	244	333	506	840	262	298	30	8	364	137	+8	-0	-3	-4	+4	0.4
2023	29	AAA	Syracuse Mets	—	229	188	43	6	0	16	35	46	5	0	0	229	364	516	880	287	213	20	15	385	79	—	—	—	—	—	—
2024	30	MLB	New York Mets	—	194	158	28	4	0	5	31	48	4	1	0	177	326	297	624	120	217	25	16	295	89	-3	+0	-3	-3	+4	-0.5
2024	30	AAA	Syracuse Mets	—	106	82	23	5	0	3	19	33	4	5	0	280	438	451	889	171	426	31	18	400	93	—	—	—	—	—	—
2025	31	AAA	Indianapolis Indians	—	159	136	17	3	0	5	20	48	2	1	1	125	247	257	504	132	143	30	13	238	-3	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	998	842	179	34	0	42	128	269	20	5	4	213	330	403	733	190	256	27	13	329	109	+10	-1	-17	-23	+22	-0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	22	A+ MLE	Frederick Keys	—	240	214	48	10	2	4	23	65	1	10	3	224	303	346	648	121	296	27	10	287	80	—	—	—	—	—	—
2016	22	A MLE	Delmarva Shorebirds	—	262	230	45	10	1	4	25	78	5	16	6	196	288	300	588	104	266	30	10	260	62	—	—	—	—	—	—
2017	23	AA MLE	Bowie Baysox	—	540	479	121	22	2	17	43	110	12	20	4	253	330	413	743	161	284	20	8	323	105	—	—	—	—	—	—
2018	24	MLB MLE	Baltimore Orioles	—	47	40	10	3	0	3	4	12	2	2	1	250	348	550	898	300	269	26	9	370	137	+2	+0	+0	-6	+1	-0.2
2018	24	AAA MLE	Norfolk Tides	—	490	439	93	20	2	11	36	122	8	11	4	212	284	342	625	130	254	25	7	276	73	—	—	—	—	—	—
2019	25	MLB MLE	Baltimore Orioles	—	142	127	30	6	0	4	13	26	1	1	2	236	312	378	690	142	268	18	9	303	91	-1	-1	-4	-5	+3	-0.8
2019	25	AAA MLE	Norfolk Tides	—	277	244	61	16	2	12	24	63	4	5	4	250	327	480	807	230	276	23	9	342	118	—	—	—	—	—	—
2019	25	AA MLE	Bowie Baysox	—	17	14	4	1	0	1	2	3	1	0	0	286	412	571	983	286	266	18	12	382	145	—	—	—	—	—	—
2019	25	ROK MLE	GCL Orioles	—	20	17	1	0	0	1	2	7	1	0	0	59	200	235	435	176		35	10	249	55	—	—	—	—	—	—
2020	26	MLB MLE	Baltimore Orioles	—	112	88	16	2	0	6	20	38	2	0	0	182	345	409	755	227	233	34	18	342	118	+2	+0	-1	-1	+2	0.3
2021	27	MLB MLE	Baltimore Orioles	—	318	271	54	10	0	11	43	89	4	0	0	199	318	358	676	159	254	28	14	309	95	-2	+0	-5	-3	+7	-0.4
2022	28	AAA MLE	Norfolk Tides	—	105	92	19	2	0	4	10	33	3	2	0	207	305	359	663	152	273	31	10	300	89	—	—	—	—	—	—
2022	28	ROK MLE	FCL Orioles	—	18	15	5	1	0	0	2	1	1	0	0	333	444	400	844	67	361	6	11	357	128	—	—	—	—	—	—
2023	29	MLB MLE	New York Mets	—	185	161	40	10	0	11	15	56	7	1	1	248	339	516	854	267	298	30	8	370	137	+8	-0	-3	-4	+4	0.4
2023	29	AAA MLE	Syracuse Mets	—	229	199	35	5	0	11	24	57	5	0	0	176	281	367	648	191	182	25	10	285	79	—	—	—	—	—	—
2024	30	MLB MLE	New York Mets	—	194	158	28	4	0	5	31	48	4	1	0	177	326	297	624	120	217	25	16	299	89	-3	+0	-3	-3	+4	-0.5
2024	30	AAA MLE	Syracuse Mets	—	106	88	19	4	0	2	13	41	4	5	0	216	343	330	672	114	363	39	12	306	93	—	—	—	—	—	—
2025	31	AAA MLE	Indianapolis Indians	—	159	144	14	2	0	4	12	60	2	1	1	97	177	194	372	97	117	38	8	164	-3	—	—	—	—	—	—
2016	22	A MLE	3 teams	—	601	532	111	24	3	9	57	171	7	30	11	209	294	316	609	107	287	28	9	273	71	—	—	—	—	—	—
2016	22	A RAW	3 teams	—	601	492	124	30	4	11	97	125	7	30	11	252	383	396	779	144	314	21	16	353	71	—	—	—	—	—	—
2017	23	AA MLE	Bowie Baysox	—	540	479	121	22	2	17	43	110	12	20	4	253	330	413	743	161	291	20	8	323	105	—	—	—	—	—	—
2017	23	AA RAW	Bowie Baysox	—	540	457	127	26	2	21	65	87	12	20	4	278	382	481	863	204	299	16	12	380	105	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	537	479	103	23	2	14	40	134	10	13	5	215	289	359	648	144	263	25	7	284	79	—	—	—	—	—	—
2018	24	AAA RAW	2 teams	—	537	461	109	27	2	15	58	115	10	13	5	236	335	401	736	165	277	21	11	327	79	—	—	—	—	—	—
2019	25	AAA MLE	4 teams	—	456	402	96	23	2	18	41	99	7	6	6	239	320	440	760	201	270	22	9	327	108	—	—	—	—	—	—
2019	25	AAA RAW	4 teams	—	456	384	103	26	2	19	59	84	7	6	6	268	376	495	870	227	295	18	13	380	108	—	—	—	—	—	—
2020	26	MLB MLE	Baltimore Orioles	—	112	88	16	2	0	6	20	38	2	0	0	182	345	409	755	227	227	34	18	342	118	+2	+0	-1	-1	+2	0.3
2020	26	MLB RAW	Baltimore Orioles	—	112	88	17	2	0	7	20	38	2	0	0	193	355	455	809	261	233	34	18	355	118	+2	+0	-1	-1	+2	0.3
2021	27	MLB MLE	Baltimore Orioles	—	318	271	54	10	0	11	43	89	4	0	0	199	318	358	676	159	251	28	14	309	95	-2	+0	-5	-3	+7	-0.4
2021	27	MLB RAW	Baltimore Orioles	—	318	270	55	10	0	12	44	89	4	0	0	204	324	374	698	170	254	28	14	319	95	-2	+0	-5	-3	+7	-0.4
2022	28	AAA MLE	2 teams	—	123	107	24	2	0	4	12	35	4	2	0	224	325	355	680	131	294	28	10	308	95	—	—	—	—	—	—
2022	28	AAA RAW	2 teams	—	123	100	28	3	0	6	19	29	4	2	0	280	415	490	905	210	338	24	15	404	95	—	—	—	—	—	—
2023	29	AAA MLE	2 teams	—	414	360	76	15	0	22	39	113	12	1	1	211	309	436	745	225	238	27	9	323	105	—	—	—	—	—	—
2023	29	AAA RAW	2 teams	—	414	348	82	15	0	27	50	102	12	1	1	236	350	511	862	276	249	25	12	375	105	—	—	—	—	—	—
2024	30	MLB MLE	2 teams	—	300	246	48	8	0	7	44	89	8	6	0	195	336	313	649	118	270	30	15	302	90	-3	+1	-3	-3	+6	-0.2
2024	30	MLB RAW	2 teams	—	300	240	51	9	0	8	50	81	8	6	0	212	366	350	716	137	281	27	17	332	90	-3	+1	-3	-3	+6	-0.2
2025	31	AAA MLE	Indianapolis Indians	—	159	144	14	2	0	4	12	60	2	1	1	97	177	194	372	97	123	38	8	164	-3	—	—	—	—	—	—
2025	31	AAA RAW	Indianapolis Indians	—	159	136	17	3	0	5	20	48	2	1	1	125	247	257	504	132	143	30	13	238	-3	—	—	—	—	—	—
2016	22	A MLE	3 teams	—	601	532	111	24	3	9	57	171	7	30	11	209	294	316	609	107	280	28	9	273	71	—	—	—	—	—	—
2017	23	AA MLE	Bowie Baysox	—	540	480	121	22	2	17	43	110	12	20	4	252	330	412	742	160	284	20	8	323	105	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	537	482	103	23	2	14	40	134	10	13	5	214	289	357	646	143	255	25	7	284	79	—	—	—	—	—	—
2019	25	AAA MLE	4 teams	—	456	405	96	23	2	18	41	99	7	6	6	237	320	437	757	200	261	22	9	327	108	—	—	—	—	—	—
2020	26	MLB MLE	Baltimore Orioles	—	112	89	16	2	0	6	20	38	2	0	0	180	345	404	750	225	233	34	18	342	118	—	—	—	—	—	—
2021	27	MLB MLE	Baltimore Orioles	—	318	268	54	10	0	11	43	89	4	0	0	201	318	362	680	160	254	28	14	309	95	—	—	—	—	—	—
2022	28	AAA MLE	2 teams	—	123	106	24	2	0	4	12	35	4	2	0	226	325	358	684	132	286	28	10	308	95	—	—	—	—	—	—
2023	29	AAA MLE	2 teams	—	414	360	76	15	0	22	39	113	12	1	1	211	309	436	745	225	234	27	9	323	105	—	—	—	—	—	—
2024	30	MLB MLE	2 teams	—	300	245	48	8	0	7	44	89	8	6	0	196	336	314	650	118	269	30	15	302	90	—	—	—	—	—	—
2025	31	AAA MLE	Indianapolis Indians	—	159	144	14	2	0	4	12	60	2	1	1	97	177	194	372	97	117	38	8	164	-3	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	30	MLB MLE	2 teams	—	300	245	48	8	0	7	44	89	8	6	0	196	336	314	650	118	269	30	15	302	90	—	—	—	—	—	—
2025	31	AAA MLE	Indianapolis Indians	—	159	144	14	2	0	4	12	60	2	1	1	97	177	194	372	97	117	38	8	164	-3	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	33	MLB MLE	PIT	10%	268	233	47	9	1	8	29	74	4	4	1	203	302	356	658	153	254	28	11	297	87	-4	+0	-1	-3	+6	-0.1
▸ 2027 — real world (MLB)
2027	33	MLB CTX	PIT	10%	17	15	3	1	0	0	2	5	0	0	0	201	300	347	648	146	255	29	12	294	87	-0	+0	-0	-0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	34	MLB MLE	PIT	6%	140	122	23	4	0	4	15	40	2	1	0	193	291	334	624	141	244	29	11	284	78	-4	+0	-5	-2	+3	-0.7
2028	34	MLB CTX	PIT	6%	8	7	1	0	0	0	1	2	0	0	0	191	289	326	615	135	244	25	12	281	78	-0	+0	-0	-0	+0	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1006	849	180	34	0	42	129	271	20	5	4	212	329	400	730	188	256	27	13	329	88	+10	-1	-17	-23	+22	-0.9
/ 162G	—	A+C		—	650	549	116	22	0	27	83	175	13	3	3	211	329	399	728	188	254	27	13	329	88	+7	-0	-11	-15	+14	-0.6
Career	—	MLE		—	3866	3374	715	140	10	121	384	1024	73	83	29	212	306	367	673	155	263	26	10	299	88	+4	-0	-22	-26	+28	-1.6
/ 162G	—	MLE		—	650	567	121	24	2	20	65	172	12	14	5	213	307	369	676	155	266	26	10	299	88	+2	-0	-11	-13	+14	-0.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 AAAIndianapolis Indians · 159 PAwOBA .234 → .164 (−69)K% 30.2% → 37.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.19%	÷0.965	×1.200	—	—	37.55%
BB% (unintentional) /PA	12.58%	÷1.112	×0.690	—	×0.952	7.43%
HBP% /PA	1.26%	—	×0.940	—	×0.952	1.13%
Singles /BIP	10.23%	÷1.008	×0.930	×0.975	×0.952	8.76%
Doubles /BIP	3.41%	÷0.995	×0.830	×0.975	×0.952	2.64%
Triples /BIP	0.00%	÷1.150	×0.970	×0.975	×0.952	0.00%
Home runs /BIP	5.68%	÷0.915	×0.700	—	×0.952	4.14%

Factors used: league row International League. Park (home-season share, regressed): HR 83, 1B 102, 2B 99, 3B 130, K 93, BB 122 — 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 ×0.975.

Result: wOBA .234 → .164; ISO .132 → .095; BABIP .143 → .117. 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 · 106 PAwOBA .395 → .306 (−88)K% 31.1% → 38.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.13%	÷0.968	×1.200	—	—	38.61%
BB% (unintentional) /PA	17.92%	÷0.933	×0.690	—	×0.962	12.75%
HBP% /PA	3.77%	—	×0.940	—	×0.962	3.41%
Singles /BIP	30.61%	÷1.006	×0.930	—	×0.962	27.23%
Doubles /BIP	10.20%	÷0.972	×0.830	—	×0.962	8.38%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.962	0.00%
Home runs /BIP	6.12%	÷1.059	×0.700	—	×0.962	3.89%

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 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .395 → .306; ISO .171 → .117; BABIP .426 → .363. 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 AAASyracuse Mets · 229 PAwOBA .375 → .285 (−90)K% 20.1% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.09%	÷0.961	×1.200	—	—	25.09%
BB% (unintentional) /PA	14.85%	÷0.967	×0.690	—	×0.972	10.30%
HBP% /PA	2.18%	—	×0.940	—	×0.972	1.99%
Singles /BIP	14.79%	÷0.997	×0.930	×0.990	×0.972	13.28%
Doubles /BIP	4.23%	÷0.933	×0.830	×0.990	×0.972	3.62%
Triples /BIP	0.00%	÷1.150	×0.970	×0.990	×0.972	0.00%
Home runs /BIP	11.27%	÷1.003	×0.700	—	×0.972	7.65%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 99, 2B 87, 3B 130, K 92, BB 93 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .375 → .285; ISO .287 → .203; BABIP .213 → .182. 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 AAANorfolk Tides · 105 PAwOBA .381 → .300 (−82)K% 26.7% → 31.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷1.017	×1.200	—	—	31.48%
BB% (unintentional) /PA	15.24%	÷1.048	×0.690	—	×0.982	9.85%
HBP% /PA	2.86%	—	×0.940	—	×0.982	2.64%
Singles /BIP	24.14%	÷0.952	×0.930	×0.975	×0.982	22.56%
Doubles /BIP	3.45%	÷1.000	×0.830	×0.975	×0.982	2.74%
Triples /BIP	0.00%	÷1.130	×0.970	×0.975	×0.982	0.00%
Home runs /BIP	10.34%	÷0.970	×0.700	—	×0.982	7.33%

Factors used: league row International League. Park (home-season share, regressed): HR 94, 1B 90, 2B 100, 3B 126, K 103, BB 110 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .381 → .300; ISO .233 → .169; BABIP .308 → .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).

2022 ROKFCL Orioles · 18 PAwOBA .469 → .357 (−111)K% 5.6% → 8.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.56%	÷0.988	×1.440	—	—	8.09%
BB% (unintentional) /PA	16.67%	÷1.031	×0.620	—	×0.940	9.42%
HBP% /PA	5.56%	—	×0.720	—	×0.940	3.76%
Singles /BIP	38.46%	÷0.967	×0.820	—	×0.940	30.66%
Doubles /BIP	7.69%	÷0.966	×0.720	—	×0.940	5.39%
Triples /BIP	0.00%	÷0.927	×0.720	—	×0.940	0.00%
Home runs /BIP	0.00%	÷1.010	×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 102, 1B 93, 2B 93, 3B 85, K 98, BB 106 — applied at half strength. Age: age 29 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (9.5 yr older than average).

Result: wOBA .469 → .357; ISO .071 → .055; BABIP .462 → .361. 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 AAANorfolk Tides · 277 PAwOBA .401 → .342 (−59)K% 18.4% → 22.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.41%	÷0.973	×1.200	—	—	22.70%
BB% (unintentional) /PA	13.72%	÷1.103	×0.690	—	×1.018	8.74%
HBP% /PA	1.44%	—	×0.940	—	×1.018	1.38%
Singles /BIP	18.99%	÷1.033	×0.930	×0.950	×1.018	16.54%
Doubles /BIP	10.61%	÷0.990	×0.830	×0.950	×1.018	8.61%
Triples /BIP	1.12%	÷0.954	×0.970	×0.950	×1.018	1.10%
Home runs /BIP	6.70%	÷0.889	×0.840	—	×1.018	6.45%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 107, 2B 98, 3B 91, K 95, 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 ×0.950.

Result: wOBA .401 → .342; ISO .257 → .244; BABIP .324 → .276. 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 ROKGCL Orioles · 20 PAwOBA .374 → .249 (−126)K% 25.0% → 36.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷1.000	×1.440	—	—	36.00%
BB% (unintentional) /PA	20.00%	÷1.000	×0.620	—	×0.940	11.66%
HBP% /PA	5.00%	—	×0.720	—	×0.940	3.38%
Singles /BIP	0.00%	÷1.000	×0.820	—	×0.940	0.00%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.940	0.00%
Home runs /BIP	20.00%	÷1.000	×0.780	—	×0.940	14.66%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (6.5 yr older than average).

Result: wOBA .374 → .249; ISO .400 → .287; BABIP .000 → .000. 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 AABowie Baysox · 17 PAwOBA .459 → .382 (−77)K% 11.8% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷0.940	×1.220	—	—	15.27%
BB% (unintentional) /PA	17.65%	÷1.020	×0.700	—	×0.988	11.97%
HBP% /PA	5.88%	—	×0.850	—	×0.988	4.94%
Singles /BIP	18.18%	÷1.031	×0.970	—	×0.988	16.90%
Doubles /BIP	9.09%	÷0.987	×0.860	—	×0.988	7.83%
Triples /BIP	0.00%	÷1.116	×0.950	—	×0.988	0.00%
Home runs /BIP	9.09%	÷0.987	×0.780	—	×0.988	7.10%

Factors used: league row EL. Park (home-season share, regressed): HR 97, 1B 106, 2B 97, 3B 123, K 88, BB 104 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .459 → .382; ISO .308 → .258; BABIP .300 → .266. 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
#1Joe Lahoud'68-'78 * career totals — 10 seasons, 2,261 PA	3.4	2,261	65	20	227*	339*	418*	-30	-1	5.3	6.0
/162	664	19	6	-8.7	-0.3	1.6	pk7: 7
#2Daniel Vogelbachlast yr '24 career totals — 7 seasons, 1,913 PA	2.9	1,913	81	0	220	342	411	-29	-16	4.4	4.4
/162	664	28	0	-10.2	-5.6	1.5	pk7: 4
#3Norm Miller'65-'74 * career totals — 6 seasons, 1,561 PA	2.4	1,561	24	16	238*	325*	391*	-14	-3	2.4	2.7
/162	664	10	7	-6.1	-1.3	1.0	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	1.5	975	40	3	212	326	396	-10	-17	2.4	2.4
/162	664	27	2	-7.1	-11.8	1.6	pk7: 2
#4John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#5Darin Ruflast yr '23 career totals — 8 seasons, 1,653 PA	2.5	1,653	64	6	237	329	420	-28	-31	1.0	1.7
/162	664	26	2	-11.3	-12.4	0.4	pk7: 2
#6Eric Anthony'89-'97 * career totals — 9 seasons, 2,243 PA	3.4	2,243	78	24	225*	300*	410*	-22	-22	0.1	0.6
/162	664	23	7	-6.7	-6.6	0.0	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
DJ Stewart (OGILVIE)	33	40	50	50	60	201/299/352	151	254	5	3	28%	11%	87	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andy Tracy 2007 · MLB	33	39→45	51→55	43→45	48	205/272/363	157	243	19	9	24%	8%	78	-0.3	217/287/377	160	259	20	6	24%	8%	87	+0.4	219/287/395	175	259	23	5	25%	8%	91	+0.6
✕Ryan Langerhans 2013 · MLB	33	40→41	48→50	45→50	50	202/294/346	144	291	16	11	34%	11%	83	+0.1	209/286/357	148	299	17	8	33%	9%	82	-0.0	184/263/338	154	248	20	2	34%	9%	66	-0.5
✕Kevin Barker 2008 · MLB	33	44→45	49→55	45→40	47	226/290/376	150	282	17	4	26%	8%	88	+0.4	223/286/383	160	264	20	3	23%	8%	88	+0.4	244/309/410	165	282	17	1	20%	8%	102	+1.0
✕Jon Singleton 2024 · MLB	32	38→48	53→50	44→45	54	205/298/372	168	257	21	4	29%	12%	91	+0.6	203/288/350	147	265	19	4	29%	11%	82	-0.0	187/276/321	134	244	18	1	30%	11%	69	-0.7
✕Blake Gailen 2017 · AAA	32	42	47→55	47→50	55	212/290/352	140	231	15	10	17%	10%	82	-0.0	222/276/347	125	275	13	10	24%	7%	76	-0.4	219/266/340	120	256	15	8	21%	6%	66	-0.3
✕Matt Clark 2019 · AAA	32	44→45	50→55	44→30	42	226/277/379	153	288	19	5	28%	6%	84	+0.1	233/294/419	186	283	23	6	26%	7%	99	+1.3	220/286/429	209	251	27	0	25%	8%	100	+0.7
✕Preston Tucker 2023 · AAA	33	45→47	45→55	48→40	46	226/286/349	122	264	13	6	20%	6%	80	-0.2	237/317/389	152	287	16	7	22%	9%	101	+1.4	236/340/418	182	283	18	2	22%	12%	113	+0.9
✕Chad Huffman 2018 · MLB	33	43→52	48→50	48→45	48	219/299/368	149	264	15	8	23%	8%	90	+0.6	223/295/372	149	284	17	6	27%	7%	88	+0.5	214/284/365	151	271	19	0	28%	7%	79	-0.1
✕Valentino Pascucci 2011 · AAA	32	39→42	53→55	47→45	49	210/294/381	171	272	22	4	31%	10%	91	+0.6	204/286/360	156	292	20	3	35%	10%	83	+0.1	191/278/337	147	274	19	0	36%	10%	73	-0.5
✕Chris Richard 2007 · AAA	33	43→52	50→55	46→50	47	221/289/378	157	264	18	8	24%	8%	88	+0.4	226/293/397	171	277	20	8	26%	7%	94	+0.9	219/288/397	178	264	22	6	26%	7%	90	+0.5
✕Jesus Cota 2015 · AAA	33	41→51	45→50	49→50	44	208/259/323	116	251	13	7	23%	6%	63	-1.3	213/265/324	111	283	12	8	28%	6%	65	-1.2	175/218/243	68	234	10	0	29%	5%	29	-1.0
✕Daniel Palka 2023 · AAA	31	42→43	51→55	44→50	45	219/280/375	156	275	20	4	28%	8%	84	+0.1	211/266/349	138	275	17	6	29%	7%	72	-0.7	185/238/306	121	238	16	4	29%	6%	49	-1.7
✕Graham Koonce 2007 · AAA	32	39→40	54→55	44→30	46	213/284/387	174	260	23	4	28%	8%	88	+0.5	211/282/380	169	270	21	6	29%	8%	86	+0.3	176/254/351	175	214	23	0	30%	8%	68	-0.5
✕Abraham Almonte 2021 · MLB	32	41→51	51→55	51→55	53	212/295/384	171	256	17	13	24%	10%	91	+0.7	230/322/394	164	288	19	10	25%	12%	104	+1.6	215/313/373	158	268	20	8	27%	12%	94	+0.4
✕Cody Ransom 2009 · MLB	33	38→39	53→55	48→50	44	206/269/380	173	255	22	11	29%	7%	81	-0.1	212/273/380	168	268	20	10	28%	7%	82	+0.0	206/286/402	196	277	25	6	34%	9%	92	+0.4
✕Michael Ryan 2010 · AAA	33	45→46	50	45→30	43	233/275/386	153	272	18	4	22%	5%	84	+0.1	222/264/338	116	264	10	6	19%	5%	68	-1.0	208/244/308	99	247	5	3	17%	4%	51	-1.4
✕Cory Aldridge 2012 · AAA	33	46→47	51→55	46→45	39	233/280/392	159	311	19	6	31%	6%	87	+0.4	208/264/369	161	301	23	8	37%	7%	77	-0.3	205/268/370	165	274	26	5	35%	8%	78	-0.2
✕Roberto Lopez 2019 · AAA	33	46→47	47→50	45	44	235/283/362	127	278	16	9	22%	6%	81	-0.1	221/272/328	107	264	13	8	21%	6%	70	-0.9	206/254/284	78	242	12	4	20%	5%	50	-1.3
✕Taylor Motter 2023 · MLB	33	40→49	54→50	49→55	51	216/293/397	181	254	23	4	25%	10%	94	+0.9	208/272/342	134	281	15	11	30%	8%	73	-0.6	181/242/282	101	257	10	13	32%	7%	45	-1.4
✕Yoshi Tsutsugo 2023 · MLB	31	42→41	49→50	39→30	52	216/299/359	143	271	18	2	27%	10%	87	+0.4	224/310/364	140	307	16	7	30%	11%	93	+0.8	208/312/349	140	296	16	5	32%	12%	87	+0.2

DJ Stewart

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps