Jacob Stallings

C Baltimore Orioles

Age 37 R/R 6'5" / 225 lbs MLB HR +9% Svc 11.000 · Ctrl thru 2027

Overview

MLBExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	33	MLBMIA	276	.191/.280/.286	3	0	67	0.5
2024	34	MLBCOL	281	.263/.358/.453	9	0	118	1.6
2025	35	MLBBAL	129	.134/.195/.168	0	0	2	-1.1
2026	36	No MLB games played
2027PROJ	37	MLBBAL	110	.218/.293/.350	2	1	79	0.1
2028PROJ	38	MLBBAL	80	.206/.280/.322	1	0	68	-0.9

Last 3 seasons WAR 1.0 · Next 2 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service11.000First FA2028

2027Ext / FA-deal$0.9M

Skills · percentileStatcast 2023-2025

Barrel%29

Avg EV29

xwOBA24

Bat Spd11

Speed10

CompsMatt Treanor (age 36) · Jamie Burke (age 37) · Said Gutierrez (age 37)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 8279vR 71

AVG/OBP/SLG.218 / .293 / .350

PA110

HR2

K%25

BB%7

BABIP273

ISO111

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · ContractCON 40 / POW 40

Toolsscout grade · Statcast %ile · 2023-2025

CONTACT40

xAVG

100.203

POWER40

Barrel%

295.4

Avg EV

2987.5

Bat Spd

1167.1

EYE45

scouting grade only

SPEED25

Sprint

1023.6

Platoon Splits2024-2025 · 410 PA

vs LHP

vs RHP

Edge

141

269

—

wRC+

◀L

wOBA

309

293

◀L

ISO

196

113

◀◀L

BABIP

263

294

▶R

30.5%

23.0%

▶▶R

BB%

9.9%

6.7%

◀◀L

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	$0.9M	—	—	—
Totals		$0.9M		$0.0M	-$0.9M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2013	23	A+	Bradenton Marauders	—	307	251	55	16	2	6	45	62	7	1	1	219	352	371	722	151	266	20	15	329	55	—	—	—	—	—	—
2014	24	A+	Bradenton Marauders	—	249	212	51	11	0	4	28	52	2	1	2	241	335	349	684	108	297	21	11	305	44	—	—	—	—	—	—
2015	25	AA	Altoona Curve	—	292	265	73	14	1	3	15	64	3	4	1	275	322	370	691	94	340	22	5	302	67	—	—	—	—	—	—
2016	26	MLB	Pittsburgh Pirates	—	15	15	6	1	0	0	0	4	0	1	0	400	400	467	867	67	545	27	0	387	147	+1	+0	-0	+5	+0	0.7
2016	26	AAA	Indianapolis Indians	—	275	257	55	17	0	6	11	66	2	0	1	214	252	350	602	136	265	24	4	263	37	—	—	—	—	—	—
2017	27	MLB	Pittsburgh Pirates	—	16	14	5	2	0	0	2	2	0	0	0	357	438	500	938	143	417	12	12	417	135	+1	+0	+0	+5	+0	0.6
2017	27	AAA	Indianapolis Indians	—	243	216	65	16	0	4	17	30	4	1	2	301	363	431	793	130	330	12	7	347	97	—	—	—	—	—	—
2018	28	MLB	Pittsburgh Pirates	—	41	37	8	0	0	0	3	9	0	0	0	216	275	216	491		276	22	7	228	41	-3	+0	+0	+6	+1	0.4
2018	28	AAA	Indianapolis Indians	—	278	256	73	22	1	3	15	51	5	1	2	285	337	414	751	129	343	18	5	334	75	—	—	—	—	—	—
2019	29	MLB	Pittsburgh Pirates	—	210	191	50	5	0	6	16	40	2	0	0	262	325	382	708	120	303	19	8	318	93	-2	+0	+14	+5	+5	2.2
2019	29	AAA	Indianapolis Indians	—	61	51	14	9	0	2	4	9	4	0	0	275	373	569	942	294	286	15	7	396	127	—	—	—	—	—	—
2020	30	MLB	Pittsburgh Pirates	—	143	125	31	7	0	3	15	40	0	0	0	248	329	376	705	128	337	28	10	313	99	-0	+0	+8	+3	+3	1.3
2021	31	MLB	Pittsburgh Pirates	—	427	374	92	20	1	8	49	85	2	0	0	246	336	369	705	123	297	20	11	320	104	+2	+0	+21	+8	+9	4.1
2022	32	MLB	Miami Marlins	—	384	346	77	12	0	4	29	83	6	0	1	223	294	292	586	69	280	22	8	270	73	-12	-0	+3	+7	+8	0.6
2023	33	MLB	Miami Marlins	—	276	241	46	14	0	3	27	67	3	0	0	191	280	286	567	95	249	24	10	259	67	-11	+0	+5	+5	+6	0.5
2024	34	MLB	Colorado Rockies	—	281	243	64	17	1	9	27	65	9	0	0	263	358	453	811	189	324	23	10	360	118	+6	+0	-1	+5	+6	1.6
2025	35	MLB	Baltimore Orioles	—	129	119	16	4	0	0	6	40	3	0	0	134	195	168	363	34	203	31	5	174	2	-15	+0	-1	+2	+3	-1.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1922	1705	395	82	2	33	174	435	25	1	1	232	312	340	652	109	291	23	9	296	86	-31	-0	+50	+50	+42	11.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	23	A+ MLE	Bradenton Marauders	—	307	266	46	14	2	4	31	89	7	1	1	173	276	286	562	113	229	29	10	250	55	—	—	—	—	—	—
2014	24	A+ MLE	Bradenton Marauders	—	249	221	41	9	0	2	19	76	2	1	2	186	256	253	510	68	260	31	8	233	44	—	—	—	—	—	—
2015	25	AA MLE	Altoona Curve	—	292	270	68	12	1	3	10	78	3	4	1	252	286	337	623	85	312	27	3	267	67	—	—	—	—	—	—
2016	26	MLB MLE	Pittsburgh Pirates	—	15	15	6	1	0	0	0	4	0	1	0	400	400	467	867	67	545	27	0	385	147	+1	+0	-0	+5	+0	0.7
2016	26	AAA MLE	Indianapolis Indians	—	275	261	49	14	0	5	7	78	2	0	1	188	215	299	514	111	244	28	3	223	37	—	—	—	—	—	—
2017	27	MLB MLE	Pittsburgh Pirates	—	16	15	5	2	0	0	1	2	0	0	0	333	375	467	842	133	417	12	6	368	135	+1	+0	+0	+5	+0	0.6
2017	27	AAA MLE	Indianapolis Indians	—	243	222	62	13	0	4	11	35	4	1	2	279	325	392	717	113	303	14	5	312	97	—	—	—	—	—	—
2018	28	MLB MLE	Pittsburgh Pirates	—	41	37	8	0	0	0	3	9	0	0	0	216	275	216	491		276	22	7	229	41	-3	+0	+0	+6	+1	0.4
2018	28	AAA MLE	Indianapolis Indians	—	278	260	63	17	1	2	11	58	5	1	2	242	286	338	625	96	301	21	4	279	75	—	—	—	—	—	—
2019	29	MLB MLE	Pittsburgh Pirates	—	210	196	50	5	0	6	11	40	2	0	0	255	301	372	674	117	303	19	5	306	93	-2	+0	+14	+5	+5	2.2
2019	29	AAA MLE	Indianapolis Indians	—	61	52	13	8	0	2	3	11	4	0	0	250	339	519	858	269	254	18	5	356	127	—	—	—	—	—	—
2020	30	MLB MLE	Pittsburgh Pirates	—	143	125	31	7	0	3	15	40	0	0	0	248	329	376	705	128	337	28	10	314	99	-0	+0	+8	+3	+3	1.3
2021	31	MLB MLE	Pittsburgh Pirates	—	427	374	92	19	1	9	49	85	2	0	0	246	336	374	711	128	297	20	11	321	104	+2	+0	+21	+8	+9	4.1
2022	32	MLB MLE	Miami Marlins	—	384	346	79	13	0	4	29	83	6	0	1	228	299	301	600	72	280	22	8	277	73	-12	-0	+3	+7	+8	0.6
2023	33	MLB MLE	Miami Marlins	—	276	241	47	15	0	3	27	67	3	0	0	195	284	295	579	100	249	24	10	268	67	-11	+0	+5	+5	+6	0.5
2024	34	MLB MLE	Colorado Rockies	—	281	244	61	16	1	8	26	65	9	0	0	250	344	422	766	172	324	23	9	343	118	+6	+0	-1	+5	+6	1.6
2025	35	MLB MLE	Baltimore Orioles	—	129	119	16	4	0	0	6	40	3	0	0	134	195	168	363	34	203	31	5	172	2	-15	+0	-1	+2	+3	-1.1
2013	23	A+ MLE	Bradenton Marauders	—	307	266	46	14	2	4	31	89	7	1	1	173	276	286	562	113	241	29	10	250	55	—	—	—	—	—	—
2013	23	A+ RAW	Bradenton Marauders	—	307	251	55	16	2	6	45	62	7	1	1	219	352	371	722	151	266	20	15	329	55	—	—	—	—	—	—
2014	24	A+ MLE	Bradenton Marauders	—	249	221	41	9	0	2	19	76	2	1	2	186	256	253	510	68	269	31	8	233	44	—	—	—	—	—	—
2014	24	A+ RAW	Bradenton Marauders	—	249	212	51	11	0	4	28	52	2	1	2	241	335	349	684	108	297	21	11	305	44	—	—	—	—	—	—
2015	25	AA MLE	Altoona Curve	—	292	270	68	12	1	3	10	78	3	4	1	252	286	337	623	85	330	27	3	267	67	—	—	—	—	—	—
2015	25	AA RAW	Altoona Curve	—	292	265	73	14	1	3	15	64	3	4	1	275	322	370	691	94	340	22	5	302	67	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	290	276	55	15	0	5	7	82	2	1	1	199	225	308	533	109	265	28	2	231	43	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	290	272	61	18	0	6	11	70	2	1	1	224	260	357	616	132	281	24	4	270	43	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	259	237	67	15	0	4	12	37	4	1	2	283	328	397	725	114	317	14	5	315	100	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	259	230	70	18	0	4	19	32	4	1	2	304	368	435	802	130	335	12	7	352	100	—	—	—	—	—	—
2018	28	AAA MLE	2 teams	—	319	297	71	17	1	2	14	67	5	1	2	239	285	323	608	84	299	21	4	273	71	—	—	—	—	—	—
2018	28	AAA RAW	2 teams	—	319	293	81	22	1	3	18	60	5	1	2	276	329	389	718	113	335	19	6	320	71	—	—	—	—	—	—
2019	29	MLB MLE	2 teams	—	271	248	63	13	0	8	14	51	6	0	0	254	310	403	713	149	288	19	5	317	101	+0	+0	+14	+5	+6	2.6
2019	29	MLB RAW	2 teams	—	271	242	64	14	0	8	20	49	6	0	0	264	336	421	757	157	299	18	7	336	101	+0	+0	+14	+5	+6	2.6
2020	30	MLB MLE	Pittsburgh Pirates	—	143	125	31	7	0	3	15	40	0	0	0	248	329	376	705	128	337	28	10	314	99	-0	+0	+8	+3	+3	1.3
2020	30	MLB RAW	Pittsburgh Pirates	—	143	125	31	7	0	3	15	40	0	0	0	248	329	376	705	128	337	28	10	313	99	-0	+0	+8	+3	+3	1.3
2021	31	MLB MLE	Pittsburgh Pirates	—	427	374	92	19	1	9	49	85	2	0	0	246	336	374	711	128	294	20	11	321	104	+2	+0	+21	+8	+9	4.1
2021	31	MLB RAW	Pittsburgh Pirates	—	427	374	92	20	1	8	49	85	2	0	0	246	336	369	705	123	297	20	11	320	104	+2	+0	+21	+8	+9	4.1
2022	32	MLB MLE	Miami Marlins	—	384	346	79	13	0	4	29	83	6	0	1	228	299	301	600	72	287	22	8	277	73	-12	-0	+3	+7	+8	0.6
2022	32	MLB RAW	Miami Marlins	—	384	346	77	12	0	4	29	83	6	0	1	223	294	292	586	69	280	22	8	270	73	-12	-0	+3	+7	+8	0.6
2023	33	MLB MLE	Miami Marlins	—	276	241	47	15	0	3	27	67	3	0	0	195	284	295	579	100	254	24	10	268	67	-11	+0	+5	+5	+6	0.5
2023	33	MLB RAW	Miami Marlins	—	276	241	46	14	0	3	27	67	3	0	0	191	280	286	567	95	249	24	10	259	67	-11	+0	+5	+5	+6	0.5
2024	34	MLB MLE	Colorado Rockies	—	281	244	61	16	1	8	26	65	9	0	0	250	344	422	766	172	308	23	9	343	118	+6	+0	-1	+5	+6	1.6
2024	34	MLB RAW	Colorado Rockies	—	281	243	64	17	1	9	27	65	9	0	0	263	358	453	811	189	324	23	10	360	118	+6	+0	-1	+5	+6	1.6
2025	35	MLB MLE	Baltimore Orioles	—	129	119	16	4	0	0	6	40	3	0	0	134	195	168	363	34	203	31	5	172	2	-15	+0	-1	+2	+3	-1.1
2025	35	MLB RAW	Baltimore Orioles	—	129	119	16	4	0	0	6	40	3	0	0	134	195	168	363	34	203	31	5	174	2	-15	+0	-1	+2	+3	-1.1
2013	23	A+ MLE	Bradenton Marauders	—	307	266	46	14	2	4	31	89	7	1	1	173	276	286	562	113	229	29	10	250	55	—	—	—	—	—	—
2014	24	A+ MLE	Bradenton Marauders	—	249	226	41	9	0	2	19	76	2	1	2	181	256	248	504	66	260	31	8	233	44	—	—	—	—	—	—
2015	25	AA MLE	Altoona Curve	—	292	277	68	12	1	3	10	78	3	4	1	245	286	329	615	83	312	27	3	267	67	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	290	279	55	15	0	5	7	82	2	1	1	197	225	305	529	108	260	28	2	231	43	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	259	241	67	15	0	4	12	37	4	1	2	278	328	390	718	112	310	14	5	315	100	—	—	—	—	—	—
2018	28	AAA MLE	2 teams	—	319	297	71	17	1	2	14	67	5	1	2	239	285	323	608	84	298	21	4	273	71	—	—	—	—	—	—
2019	29	MLB MLE	2 teams	—	271	249	63	13	0	8	14	51	6	0	0	253	310	402	711	149	292	19	5	317	101	—	—	—	—	—	—
2020	30	MLB MLE	Pittsburgh Pirates	—	143	127	31	7	0	3	15	40	0	0	0	244	329	370	699	126	337	28	10	314	99	—	—	—	—	—	—
2021	31	MLB MLE	Pittsburgh Pirates	—	427	373	92	19	1	9	49	85	2	0	0	247	336	375	712	129	297	20	11	321	104	—	—	—	—	—	—
2022	32	MLB MLE	Miami Marlins	—	384	346	79	13	0	4	29	83	6	0	1	228	299	301	600	72	280	22	8	277	73	—	—	—	—	—	—
2023	33	MLB MLE	Miami Marlins	—	276	244	47	15	0	3	27	67	3	0	0	193	284	291	575	98	249	24	10	268	67	—	—	—	—	—	—
2024	34	MLB MLE	Colorado Rockies	—	281	244	61	16	1	8	26	65	9	0	0	250	344	422	766	172	324	23	9	343	118	—	—	—	—	—	—
2025	35	MLB MLE	Baltimore Orioles	—	129	119	16	4	0	0	6	40	3	0	0	134	195	168	363	34	203	31	5	172	2	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	34	MLB MLE	Colorado Rockies	—	281	244	61	16	1	8	26	65	9	0	0	250	344	422	766	172	324	23	9	343	118	—	—	—	—	—	—
2025	35	MLB MLE	Baltimore Orioles	—	129	119	16	4	0	0	6	40	3	0	0	134	195	168	363	34	203	31	5	172	2	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	37	MLB MLE	BAL	100%	177	158	35	8	1	4	13	43	4	2	1	214	290	342	632	127	268	24	7	285	79	-4	+0	-2	+3	+4	0.0
▸ 2027 — real world (MLB)
2027	37	MLB CTX	BAL	100%	110	99	21	5	0	2	8	27	2	1	0	218	293	350	643	132	273	25	7	290	79	-3	+0	-1	+2	+2	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	38	MLB MLE	BAL	100%	80	72	14	3	0	1	6	20	2	0	0	203	277	315	592	112	257	25	8	269	68	-3	+0	-9	+1	+2	-0.9
2028	38	MLB CTX	BAL	100%	80	72	14	3	0	1	6	20	2	0	0	206	280	322	602	116	261	25	8	273	68	-3	+0	-9	+1	+2	-0.9
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2002	1777	409	85	2	34	180	455	27	1	1	230	310	338	648	107	289	23	9	295	76	-34	-0	+41	+51	+43	10.3
/ 162G	—	A+C		—	650	577	134	28	1	11	58	148	9	0	0	232	312	341	654	109	292	23	9	295	76	-11	-0	+13	+17	+14	3.4
Career	—	MLE		—	3817	3435	771	177	6	58	273	907	56	10	10	224	292	330	622	106	285	24	7	280	76	-37	+0	+40	+53	+46	10.4
/ 162G	—	MLE		—	650	585	131	30	1	10	46	154	10	2	2	224	292	330	622	106	284	24	7	280	76	-11	+0	+12	+16	+14	3.2

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.

2019 AAAIndianapolis Indians · 61 PAwOBA .398 → .356 (−42)K% 14.8% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.75%	÷1.013	×1.200	—	—	17.48%
BB% (unintentional) /PA	6.56%	÷1.010	×0.690	—	×0.972	4.35%
HBP% /PA	6.56%	—	×0.940	—	×0.972	5.99%
Singles /BIP	7.14%	÷1.026	×0.930	—	×0.972	6.30%
Doubles /BIP	21.43%	÷0.901	×0.830	—	×0.972	19.19%
Triples /BIP	0.00%	÷1.150	×0.970	—	×0.972	0.00%
Home runs /BIP	4.76%	÷0.953	×0.840	—	×0.972	4.08%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 105, 2B 80, 3B 130, K 103, BB 102 — 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 .398 → .356; ISO .294 → .271; BABIP .286 → .254. 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 AAAIndianapolis Indians · 278 PAwOBA .327 → .279 (−48)K% 18.3% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.35%	÷1.063	×1.200	—	—	20.70%
BB% (unintentional) /PA	5.40%	÷0.890	×0.690	—	×0.982	4.11%
HBP% /PA	1.80%	—	×0.940	—	×0.982	1.66%
Singles /BIP	22.93%	÷0.984	×0.930	×0.996	×0.982	21.19%
Doubles /BIP	10.73%	÷1.040	×0.830	×0.996	×0.982	8.37%
Triples /BIP	0.49%	÷0.900	×0.970	×0.996	×0.982	0.51%
Home runs /BIP	1.46%	÷1.041	×0.840	—	×0.982	1.16%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 97, 2B 108, 3B 80, K 113, BB 78 — 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 ×0.996.

Result: wOBA .327 → .279; ISO .129 → .103; BABIP .343 → .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).

2017 AAAIndianapolis Indians · 243 PAwOBA .341 → .312 (−29)K% 12.3% → 14.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.35%	÷1.030	×1.200	—	—	14.38%
BB% (unintentional) /PA	6.58%	÷0.952	×0.690	—	×0.992	4.73%
HBP% /PA	1.65%	—	×0.940	—	×0.992	1.53%
Singles /BIP	24.19%	÷0.950	×0.930	×0.994	×0.992	23.36%
Doubles /BIP	8.60%	÷1.046	×0.830	×0.994	×0.992	6.73%
Triples /BIP	0.00%	÷1.150	×0.970	×0.994	×0.992	0.00%
Home runs /BIP	2.15%	÷0.850	×0.840	—	×0.992	2.11%

Factors used: league row IL. Park (home-season share, regressed): HR 70, 1B 90, 2B 109, 3B 130, K 106, BB 90 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .341 → .312; ISO .130 → .117; BABIP .330 → .303. 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 AAAIndianapolis Indians · 275 PAwOBA .254 → .223 (−32)K% 24.0% → 28.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.00%	÷1.015	×1.200	—	—	28.39%
BB% (unintentional) /PA	3.64%	÷1.054	×0.690	—	×1.003	2.39%
HBP% /PA	0.73%	—	×0.940	—	×1.003	0.69%
Singles /BIP	16.75%	÷0.998	×0.930	×1.029	×1.003	16.12%
Doubles /BIP	8.90%	÷1.010	×0.830	×1.029	×1.003	7.55%
Triples /BIP	0.00%	÷0.900	×0.970	×1.029	×1.003	0.00%
Home runs /BIP	3.14%	÷0.933	×0.840	—	×1.003	2.84%

Factors used: league row IL. Park (home-season share, regressed): HR 87, 1B 100, 2B 102, 3B 80, K 103, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .254 → .223; ISO .136 → .118; BABIP .265 → .244. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AAAltoona Curve · 292 PAwOBA .303 → .267 (−35)K% 21.9% → 26.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.92%	÷1.005	×1.220	—	—	26.59%
BB% (unintentional) /PA	5.14%	÷1.004	×0.700	—	×0.988	3.54%
HBP% /PA	1.03%	—	×0.850	—	×0.988	0.86%
Singles /BIP	27.36%	÷0.997	×0.970	×0.974	×0.988	25.64%
Doubles /BIP	6.97%	÷0.953	×0.860	×0.974	×0.988	6.05%
Triples /BIP	0.50%	÷1.150	×0.950	×0.974	×0.988	0.40%
Home runs /BIP	1.49%	÷0.912	×0.780	—	×0.988	1.26%

Factors used: league row EL. Park (home-season share, regressed): HR 82, 1B 99, 2B 91, 3B 130, K 101, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .303 → .267; ISO .094 → .081; BABIP .340 → .312. 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 A+Bradenton Marauders · 249 PAwOBA .300 → .233 (−67)K% 20.9% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.88%	÷0.975	×1.420	—	—	30.40%
BB% (unintentional) /PA	11.24%	÷1.059	×0.750	—	×0.978	7.79%
HBP% /PA	0.80%	—	×0.930	—	×0.978	0.73%
Singles /BIP	22.50%	÷1.004	×0.920	×0.991	×0.978	19.98%
Doubles /BIP	6.88%	÷1.078	×0.960	×0.991	×0.978	5.93%
Triples /BIP	0.00%	÷0.900	×0.810	×0.991	×0.978	0.00%
Home runs /BIP	2.50%	÷1.337	×0.880	—	×0.978	1.61%

Factors used: league row FSL. Park (home-season share, regressed): HR 167, 1B 101, 2B 116, 3B 80, K 95, BB 112 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .300 → .233; ISO .108 → .077; BABIP .297 → .260. 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).

2013 A+Bradenton Marauders · 307 PAwOBA .322 → .250 (−72)K% 20.2% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.20%	÷0.994	×1.420	—	—	28.86%
BB% (unintentional) /PA	14.66%	÷1.068	×0.750	—	×0.988	10.17%
HBP% /PA	2.28%	—	×0.930	—	×0.988	2.10%
Singles /BIP	16.40%	÷1.056	×0.920	×1.003	×0.988	14.16%
Doubles /BIP	8.47%	÷1.079	×0.960	×1.003	×0.988	7.47%
Triples /BIP	1.06%	÷0.946	×0.810	×1.003	×0.988	0.90%
Home runs /BIP	3.17%	÷1.187	×0.880	—	×0.988	2.33%

Factors used: league row FSL. Park (home-season share, regressed): HR 137, 1B 111, 2B 116, 3B 89, K 99, BB 114 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .322 → .250; ISO .151 → .117; BABIP .266 → .229. 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
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Austin Barneslast yr '24 career totals — 8 seasons, 1,639 PA	2.5	1,639	35	22	225	325	344	+29	+59	12.4	12.5
/162	664	14	9	+11.9	+23.8	5.0	pk7: 13
#3Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	3.1	2,040	37	1	228	306	341	+33	+45	5.4	5.8
/162	664	12	0	+10.7	+14.6	1.7	pk7: 6
#4Kelly Stinnett'94-'07 * career totals — 12 seasons, 2,290 PA	3.4	2,290	65	10	224*	300*	366*	+40	+0	5.4	5.8
/162	664	19	3	+11.7	+0.0	1.6	pk7: 6
#5Jerry May'64-'73 * career totals — 7 seasons, 1,716 PA	2.6	1,716	15	1	236*	314*	355*	+31	+0	5.6	5.6
/162	664	6	0	+11.8	+0.0	2.2	pk7: 6
#6Glenn Borgmann'72-'80 * career totals — 8 seasons, 1,526 PA	2.3	1,526	16	4	229*	328*	338*	+27	+0	4.5	4.4
/162	664	7	2	+11.8	+0.0	2.0	pk7: 4

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
Jacob Stallings (OGILVIE)	37	40	40	25	45	212/288/339	126	268	2	1	24%	7%	79	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Treanor 2012 · MLB	36	44	41→40	39→40	56	214/313/306	93	254	10	6	19%	11%	81	-0.1	219/309/339	120	270	12	8	22%	10%	86	+0.3	170/266/275	105	214	9	5	24%	10%	59	-0.3
✕Jamie Burke 2009 · MLB	37	51→45	42→45	40→30	48	245/293/349	104	266	10	4	13%	5%	82	-0.0	215/268/307	92	263	8	6	20%	6%	63	-1.4	185/234/246	61	235	4	2	22%	5%	34	-0.8
✕Said Gutierrez 2017 · AAA	37	43	42→50	38→40	41	213/250/300	87	250	11	4	20%	4%	54	-2.0	239/282/342	103	287	12	6	21%	4%	76	-0.4	271/306/350	79	317	11	0	18%	3%	84	+0.1
✕Francisco Valdez 2006 · AAA	37	48	45→40	40→30	43	235/291/352	116	263	13	5	16%	4%	82	+0.0	248/290/336	88	276	8	5	13%	4%	78	-0.3	260/300/341	82	286	4	1	10%	3%	79	-0.1
✕Mike DiFelice 2006 · MLB	37	40	48→50	42→30	45	210/270/351	141	249	16	5	23%	7%	74	-0.5	214/272/317	103	279	10	4	26%	6%	67	-1.1	208/260/284	76	277	6	0	26%	5%	54	-0.8
✕John Flaherty 2005 · MLB	37	48→52	52→45	38→40	43	248/284/415	167	272	19	5	18%	4%	94	+0.9	220/270/362	142	251	16	7	19%	6%	77	-0.3	160/203/244	84	184	9	0	19%	4%	24	-1.0
✕Doug Bernier 2017 · AAA	37	46→52	40	42→45	44	223/276/313	90	281	9	7	24%	6%	67	-1.1	214/268/306	92	282	9	7	26%	6%	63	-1.4	186/236/233	47	249	5	0	26%	5%	31	-1.6
✕Hector Hurtado 2008 · AAA	37	46	42→40	41→30	38	226/266/322	96	282	10	3	24%	3%	65	-1.2	213/251/291	78	270	7	4	23%	3%	52	-2.2	206/236/255	49	259	4	0	22%	2%	34	-1.0
✕Adan Amezcua 2011 · AAA	37	46	40→45	41→45	47	221/271/311	90	257	7	6	17%	6%	65	-1.2	237/297/353	116	280	11	6	19%	6%	84	+0.2	244/310/369	125	285	12	4	18%	7%	91	+0.3
✕Hernando Arredondo 2014 · AAA	37	46→53	47→50	41→50	40	235/262/371	136	267	15	6	19%	3%	76	-0.4	229/267/341	112	272	12	5	20%	4%	70	-0.8	225/265/311	86	270	10	2	20%	4%	59	-0.5
✕Miguel Ojeda 2012 · AAA	37	48→45	43→45	43→45	50	233/294/342	109	267	11	7	18%	8%	80	-0.1	226/280/330	104	281	9	8	22%	6%	73	-0.6	217/268/310	92	274	8	6	23%	5%	61	-1.0
✕Mike Matheny 2006 · MLB	35	48→52	46→45	35→30	43	237/277/370	133	273	13	2	19%	5%	81	-0.1	234/282/372	138	269	14	5	19%	5%	83	+0.1	220/260/321	101	252	10	0	17%	4%	63	-0.4
✕Geronimo Gil 2013 · AAA	37	45	45→50	38→40	44	226/272/347	120	256	14	3	18%	5%	74	-0.6	227/270/323	96	264	10	3	18%	5%	67	-1.1	230/272/302	72	267	7	0	17%	4%	61	-0.8
✕Humberto Quintero 2015 · MLB	35	47	44→45	41→40	38	233/263/350	118	284	11	5	22%	3%	70	-0.8	225/257/325	100	280	10	7	23%	3%	63	-1.4	220/242/296	76	267	11	3	22%	2%	47	-1.3
✕Lou Merloni 2007 · MLB	36	48→44	42→45	40	46	234/291/341	107	271	9	4	17%	6%	79	-0.2	215/270/303	88	250	7	5	16%	6%	63	-1.4	201/254/264	63	234	3	1	15%	6%	45	-2.0
✕Iker Franco 2017 · AAA	36	51→47	41→50	43→40	47	245/299/336	91	296	9	4	20%	7%	80	-0.1	221/273/327	106	279	12	7	24%	6%	70	-0.9	156/195/247	91	190	13	0	26%	5%	19	-0.9
✕Gary Bennett 2007 · MLB	35	46	42→40	43→40	50	223/281/323	100	253	10	4	17%	7%	72	-0.7	234/286/354	120	252	13	7	13%	6%	80	-0.1	241/277/321	80	257	7	4	9%	4%	69	-0.3
✕Jonathan Aceves 2014 · AAA	36	41	47→50	44→30	44	210/261/340	131	253	15	5	24%	6%	68	-1.0	220/279/335	115	266	13	3	22%	6%	74	-0.6	228/295/332	104	273	11	1	20%	7%	78	-0.2
✕Chad Moeller 2010 · MLB	35	43	41→50	43→30	43	211/261/315	104	258	8	4	22%	5%	62	-1.4	218/275/334	116	267	10	7	21%	6%	72	-0.7	191/246/285	94	237	4	0	20%	4%	47	-0.5
✕Martín Maldonado 2024 · MLB	37	34→44	52→50	45→40	43	191/261/348	157	245	22	2	32%	8%	71	-0.8	196/252/337	141	269	18	4	33%	6%	64	-1.3	159/206/272	113	220	15	0	35%	5%	33	-0.9

Jacob Stallings

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps