Brent Rooker

RF Athletics

Age 32 R/R 6'3" / 225 lbs MLB HR -5% Svc 5.343 · Ctrl thru 2029 ILInjured 60-Day (D60)

Overview

MLBIL-6040-MANExtFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	29	MLBOakland Athle…	614	.293/.367/.562	39	11	163	5.3
2025	30	MLBOAK	699	.262/.336/.479	30	6	121	2.3
2026	31	MLBOAK	203	.200/.284/.389	10	2	85	-0.1
2027PROJ	32	MLBOAK	161	.264/.336/.503	9	2	130	0.7
2028PROJ	33	MLBOAK	517	.255/.326/.482	27	3	122	1.2
2029PROJ	34	MLBOAK	422	.244/.314/.457	21	2	112	0.3

Last 3 seasons WAR 7.5 · Next 3 projected WAR 2.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2029Service5.343First FA2028Options1

2027Ext$12M2028Ext$12M2029Ext$12M

Skills · percentileStatcast 2024-2026

Barrel%90

xwOBA90

Avg EV79

Bat Spd68

Speed52

CompsJonny Gomes (age 32) · Justin Upton (age 32) · Matt Kemp (age 32)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 134130vR 118

AVG/OBP/SLG.264 / .336 / .503

PA161

HR9

K%25

BB%9

BABIP309

ISO248

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$18M ctrl surplus

Tools · Splits · ContractCON 55 / POW 60

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT55

xAVG

540.255

POWER60

Barrel%

9015.1

Avg EV

7991.1

Bat Spd

6873.3

EYE50

scouting grade only

SPEED50

Sprint

5227.6

Platoon Splits2024-2026 · 1353 PA

vs LHP

vs RHP

Edge

299

1054

—

wRC+

149

134

◀L

wOBA

388

366

◀L

ISO

249

237

◀L

BABIP

322

326

—

19.7%

27.0%

◀◀L

BB%

9.7%

8.8%

◀L

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

Status Arb-3

MLB Debut 2020

Service 5.343 yrs.days

Team Control Through 2029

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext	$12M	+0.8	$3M	-$9M
2028	Ext	$12M	+1.2	$9M	-$2M
2029	Ext	$12M	+0.3	$1M	-$9M
Totals		$36M		$13M	-$19M

Options · projected decision
2030	VESTING OPT	$12.0M / $0.0M buyout	—

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)
2017	22	A+	Fort Myers Miracle	—	162	143	40	6	0	11	16	47	3	0	0	280	364	552	917	273	341	29	10	400	81	—	—	—	—	—	—
2017	22	ROK	Elizabethton Twins	—	99	85	24	5	0	7	11	21	1	2	2	282	371	588	959	306	288	21	11	407	78	—	—	—	—	—	—
2018	23	AA	Chattanooga Lookouts	—	568	503	128	32	4	22	56	150	5	6	1	254	335	465	800	211	316	26	10	351	70	—	—	—	—	—	—
2019	24	AAA	Rochester Red Wings	—	274	228	64	16	0	14	35	95	10	2	0	281	399	535	934	254	417	35	13	410	105	—	—	—	—	—	—
2020	25	MLB	Minnesota Twins	—	21	19	6	2	0	1	0	5	2	0	0	316	381	579	960	263	385	24	0	421	170	+2	+0	-2	-0	+0	0.0
2021	26	MLB	Minnesota Twins	—	213	189	38	10	0	9	15	70	9	0	0	201	291	397	688	196	264	33	7	309	95	-1	+0	-6	-5	+5	-0.8
2021	26	AAA	St. Paul Saints	—	267	220	54	8	1	20	38	80	6	1	2	245	371	564	935	318	276	30	14	401	79	—	—	—	—	—	—
2022	27	MLB	Kansas City Royals	—	36	32	4	1	0	0	3	11	1	0	0	125	222	156	378	31	190	31	8	190	15	-4	+0	-0	-4	+1	-0.8
2022	27	AAA	Omaha Storm Chasers	—	365	308	89	27	0	28	46	103	9	5	2	289	397	649	1.046	360	341	28	13	445	101	—	—	—	—	—	—
2023	28	MLB	Oakland Athletics	—	526	463	114	20	1	30	49	172	10	4	0	246	331	488	820	242	317	33	9	358	135	+22	+1	-5	-6	+11	2.4
2024	29	MLB	Oakland Athletics	—	614	546	160	26	2	39	59	177	5	11	3	293	367	562	929	269	362	29	10	402	163	+46	+1	-2	-7	+13	5.3
2025	30	MLB	Athletics	—	699	626	164	40	3	30	65	155	5	6	1	262	336	479	815	217	302	22	9	358	121	+17	+1	-3	-7	+15	2.3
2026	31	MLB	Athletics	—	203	180	36	4	0	10	19	65	2	2	0	200	284	389	672	189	243	32	9	298	85	-4	+0	-0	-2	+4	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2312	2055	522	103	6	119	210	655	34	23	4	254	333	484	817	230	312	28	9	358	128	+78	+3	-18	-32	+50	8.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2017	22	A+ MLE	Fort Myers Miracle	—	162	150	31	4	0	9	9	70	3	0	0	207	265	413	679	207	310	43	6	288	81	—	—	—	—	—	—
2017	22	ROK MLE	Elizabethton Twins	—	99	89	17	3	0	5	7	30	1	2	2	191	258	393	651	202	208	30	7	284	78	—	—	—	—	—	—
2018	23	AA MLE	Chattanooga Lookouts	—	568	525	107	28	4	18	34	190	5	6	1	204	259	375	634	171	271	33	6	271	70	—	—	—	—	—	—
2019	24	AAA MLE	Rochester Red Wings	—	274	240	54	12	0	12	23	114	10	2	0	225	319	425	744	200	361	42	8	324	105	—	—	—	—	—	—
2020	25	MLB MLE	Minnesota Twins	—	21	19	6	2	0	1	0	5	2	0	0	316	381	579	960	263	385	24	0	420	170	+2	+0	-2	-0	+0	0.0
2021	26	MLB MLE	Minnesota Twins	—	213	189	38	10	0	9	15	70	9	0	0	201	291	397	688	196	264	33	7	309	95	-1	+0	-6	-5	+5	-0.8
2021	26	AAA MLE	St. Paul Saints	—	267	234	41	6	1	12	24	98	6	1	2	175	269	363	632	188	225	37	9	285	79	—	—	—	—	—	—
2022	27	MLB MLE	Kansas City Royals	—	36	32	4	1	0	0	3	11	1	0	0	125	222	156	378	31	190	31	8	190	15	-4	+0	-0	-4	+1	-0.8
2022	27	AAA MLE	Omaha Storm Chasers	—	365	324	67	20	0	19	30	129	9	5	2	207	292	444	736	238	266	35	8	317	101	—	—	—	—	—	—
2023	28	MLB MLE	Oakland Athletics	—	526	464	116	19	1	33	48	172	10	4	0	250	333	509	842	259	317	33	9	367	135	+22	+1	-5	-6	+11	2.4
2024	29	MLB MLE	Oakland Athletics	—	614	550	163	25	2	43	55	177	5	11	3	296	366	584	949	287	362	29	9	409	163	+46	+1	-2	-7	+13	5.3
2025	30	MLB MLE	Athletics	—	699	631	160	36	3	31	61	155	5	6	1	254	324	468	792	214	302	22	9	347	121	+17	+1	-3	-7	+15	2.3
2026	31	MLB MLE	Athletics	—	203	181	36	4	0	10	18	65	2	2	0	199	279	387	665	188	243	32	9	294	85	-4	+0	-0	-2	+4	-0.1
2017	22	A+ MLE	2 teams	—	261	240	48	7	0	14	15	100	4	2	2	200	259	404	663	204	266	38	6	286	80	—	—	—	—	—	—
2017	22	A+ RAW	2 teams	—	261	228	64	11	0	18	27	68	4	2	2	281	367	566	933	285	319	26	10	402	80	—	—	—	—	—	—
2018	23	AA MLE	Chattanooga Lookouts	—	568	525	107	28	4	18	34	190	5	6	1	204	259	375	634	171	277	33	6	271	70	—	—	—	—	—	—
2018	23	AA RAW	Chattanooga Lookouts	—	568	503	128	32	4	22	56	150	5	6	1	254	335	465	800	211	316	26	10	351	70	—	—	—	—	—	—
2019	24	AAA MLE	Rochester Red Wings	—	274	240	54	12	0	12	23	114	10	2	0	225	319	425	744	200	365	42	8	324	105	—	—	—	—	—	—
2019	24	AAA RAW	Rochester Red Wings	—	274	228	64	16	0	14	35	95	10	2	0	281	399	535	934	254	417	35	13	410	105	—	—	—	—	—	—
2020	25	MLB MLE	Minnesota Twins	—	21	19	6	2	0	1	0	5	2	0	0	316	381	579	960	263	385	24	0	420	170	+2	+0	-2	-0	+0	0.0
2020	25	MLB RAW	Minnesota Twins	—	21	19	6	2	0	1	0	5	2	0	0	316	381	579	960	263	385	24	0	421	170	+2	+0	-2	-0	+0	0.0
2021	26	AAA MLE	2 teams	—	480	423	79	16	1	21	39	168	15	1	2	187	279	378	657	191	245	35	8	295	86	—	—	—	—	—	—
2021	26	AAA RAW	2 teams	—	480	409	92	18	1	29	53	150	15	1	2	225	335	487	822	262	270	31	11	360	86	—	—	—	—	—	—
2022	27	AAA MLE	2 teams	—	401	356	71	21	0	19	33	140	10	5	2	199	286	419	704	219	261	35	8	306	93	—	—	—	—	—	—
2022	27	AAA RAW	2 teams	—	401	340	93	28	0	28	49	114	10	5	2	274	381	603	984	329	325	28	12	422	93	—	—	—	—	—	—
2023	28	MLB MLE	Oakland Athletics	—	526	464	116	19	1	33	48	172	10	4	0	250	333	509	842	259	316	33	9	367	135	+22	+1	-5	-6	+11	2.4
2023	28	MLB RAW	Oakland Athletics	—	526	463	114	20	1	30	49	172	10	4	0	246	331	488	820	242	317	33	9	358	135	+22	+1	-5	-6	+11	2.4
2024	29	MLB MLE	Oakland Athletics	—	614	550	163	25	2	43	55	177	5	11	3	296	366	584	949	287	359	29	9	409	163	+46	+1	-2	-7	+13	5.3
2024	29	MLB RAW	Oakland Athletics	—	614	546	160	26	2	39	59	177	5	11	3	293	367	562	929	269	362	29	10	402	163	+46	+1	-2	-7	+13	5.3
2025	30	MLB MLE	Athletics	—	699	631	160	36	3	31	61	155	5	6	1	254	324	468	792	214	289	22	9	347	121	+17	+1	-3	-7	+15	2.3
2025	30	MLB RAW	Athletics	—	699	626	164	40	3	30	65	155	5	6	1	262	336	479	815	217	302	22	9	358	121	+17	+1	-3	-7	+15	2.3
2026	31	MLB MLE	Athletics	—	203	181	36	4	0	10	18	65	2	2	0	199	279	387	665	188	241	32	9	294	85	-4	+0	-0	-2	+4	-0.1
2026	31	MLB RAW	Athletics	—	203	180	36	4	0	10	19	65	2	2	0	200	284	389	672	189	243	32	9	298	85	-4	+0	-0	-2	+4	-0.1
2017	22	A+ MLE	2 teams	—	261	240	48	7	0	14	15	100	4	2	2	200	259	404	663	204	271	38	6	286	80	—	—	—	—	—	—
2018	23	AA MLE	Chattanooga Lookouts	—	568	524	107	28	4	18	34	190	5	6	1	204	259	376	635	172	271	33	6	271	70	—	—	—	—	—	—
2019	24	AAA MLE	Rochester Red Wings	—	274	239	54	12	0	12	23	114	10	2	0	226	319	427	745	201	361	42	8	324	105	—	—	—	—	—	—
2020	25	MLB MLE	Minnesota Twins	—	21	19	6	2	0	1	0	5	2	0	0	316	381	579	960	263	385	24	0	420	170	—	—	—	—	—	—
2021	26	AAA MLE	2 teams	—	480	423	79	16	1	21	39	168	15	1	2	187	279	378	657	191	242	35	8	295	86	—	—	—	—	—	—
2022	27	AAA MLE	2 teams	—	401	355	71	21	0	19	33	140	10	5	2	200	286	420	705	220	259	35	8	306	93	—	—	—	—	—	—
2023	28	MLB MLE	Oakland Athletics	—	526	463	116	19	1	33	48	172	10	4	0	251	333	510	843	259	317	33	9	367	135	—	—	—	—	—	—
2024	29	MLB MLE	Oakland Athletics	—	614	549	163	25	2	43	55	177	5	11	3	297	366	585	950	288	362	29	9	409	163	—	—	—	—	—	—
2025	30	MLB MLE	Athletics	—	699	628	160	36	3	31	61	155	5	6	1	255	324	470	794	215	302	22	9	347	121	—	—	—	—	—	—
2026	31	MLB MLE	Athletics	—	203	181	36	4	0	10	18	65	2	2	0	199	279	387	665	188	243	32	9	294	85	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	29	MLB MLE	Oakland Athletics	—	614	549	163	25	2	43	55	177	5	11	3	297	366	585	950	288	362	29	9	409	163	—	—	—	—	—	—
2025	30	MLB MLE	Athletics	—	699	628	160	36	3	31	61	155	5	6	1	255	324	470	794	215	302	22	9	347	121	—	—	—	—	—	—
2026	31	MLB MLE	Athletics	—	203	181	36	4	0	10	18	65	2	2	0	199	279	387	665	188	243	32	9	294	85	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	32	MLB MLE	OAK	100%	383	343	89	16	1	21	34	99	3	5	1	259	331	496	827	237	299	26	9	360	130	+14	+1	-2	-4	+8	0.8
▸ 2027 — real world (MLB)
2027	32	MLB CTX	OAK	100%	161	145	39	7	1	9	14	41	1	2	1	264	336	503	839	238	309	25	9	365	130	+6	+0	-1	-2	+3	0.7
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	33	MLB MLE	OAK	100%	517	463	116	20	2	27	45	136	4	3	1	250	322	476	797	226	291	26	9	348	122	+13	+0	-7	-6	+11	1.2
2029	34	MLB MLE	OAK	100%	422	380	91	15	1	21	36	114	3	2	1	239	310	452	761	213	281	27	9	333	112	+6	+0	-8	-5	+9	0.3
2030	35	MLB MLE	OAK	100%	334	301	68	10	1	16	28	93	2	1	0	227	297	425	722	198	269	28	8	317	101	+0	+0	-8	-4	+7	-0.4
2028	33	MLB CTX	OAK	100%	517	463	119	22	2	27	45	136	4	3	1	255	326	482	808	227	301	26	9	353	122	+13	+0	-7	-6	+11	1.2
2029	34	MLB CTX	OAK	100%	422	380	92	16	1	21	36	114	3	2	1	244	314	457	771	213	289	27	9	338	112	+6	+0	-8	-5	+9	0.3
2030	35	MLB CTX	OAK	100%	334	301	70	12	1	15	28	93	2	1	0	231	300	430	730	199	277	28	8	321	101	+0	+0	-8	-4	+7	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3585	3199	803	153	10	182	319	998	43	29	6	251	327	476	803	225	305	28	9	351	111	+97	+3	-40	-45	+78	9.5
/ 162G	—	A+C		—	650	580	146	28	2	33	58	181	8	5	1	252	328	478	806	226	306	28	9	351	111	+18	+1	-7	-8	+14	1.7
Career	—	MLE		—	5481	4918	1153	222	16	275	449	1670	78	47	14	234	309	454	762	219	292	30	8	332	111	+103	+3	-41	-47	+81	10.1
/ 162G	—	MLE		—	650	583	137	26	2	33	53	198	9	6	2	235	308	456	764	221	292	30	8	332	111	+18	+1	-7	-8	+14	1.8

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.

2022 AAAOmaha Storm Chasers · 365 PAwOBA .434 → .317 (−117)K% 28.2% → 35.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.22%	÷0.957	×1.200	—	—	35.38%
BB% (unintentional) /PA	12.05%	÷1.001	×0.690	—	×0.992	8.24%
HBP% /PA	2.47%	—	×0.940	—	×0.992	2.30%
Singles /BIP	16.59%	÷1.016	×0.930	×0.954	×0.992	14.38%
Doubles /BIP	13.17%	÷1.041	×0.830	×0.954	×0.992	9.94%
Triples /BIP	0.00%	÷1.150	×0.970	×0.954	×0.992	0.00%
Home runs /BIP	13.66%	÷0.984	×0.700	—	×0.992	9.64%

Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 103, 2B 108, 3B 130, K 91, BB 100 — 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 ×0.954.

Result: wOBA .434 → .317; ISO .360 → .249; BABIP .341 → .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).

2021 AAASt. Paul Saints · 267 PAwOBA .392 → .285 (−107)K% 30.0% → 36.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.96%	÷0.983	×1.200	—	—	36.58%
BB% (unintentional) /PA	13.48%	÷1.024	×0.690	—	×1.003	9.11%
HBP% /PA	2.25%	—	×0.940	—	×1.003	2.12%
Singles /BIP	17.86%	÷1.035	×0.930	×0.972	×1.003	15.64%
Doubles /BIP	5.71%	÷0.996	×0.830	×0.972	×1.003	4.64%
Triples /BIP	0.71%	÷0.900	×0.920	×0.972	×1.003	0.71%
Home runs /BIP	14.29%	÷1.121	×0.700	—	×1.003	8.95%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 107, 2B 99, 3B 80, K 97, BB 105 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .392 → .285; ISO .318 → .208; BABIP .276 → .225. 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 AAARochester Red Wings · 274 PAwOBA .400 → .324 (−77)K% 34.7% → 41.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.67%	÷0.999	×1.200	—	—	41.65%
BB% (unintentional) /PA	12.77%	÷1.095	×0.690	—	×1.033	8.31%
HBP% /PA	3.65%	—	×0.940	—	×1.033	3.54%
Singles /BIP	25.56%	÷0.982	×0.930	×0.950	×1.033	23.76%
Doubles /BIP	12.03%	÷1.063	×0.830	×0.950	×1.033	9.22%
Triples /BIP	0.00%	÷1.150	×0.970	×0.950	×1.033	0.00%
Home runs /BIP	10.53%	÷0.958	×0.840	—	×1.033	9.54%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 96, 2B 113, 3B 130, K 100, BB 119 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .400 → .324; ISO .254 → .211; BABIP .417 → .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).

2018 AAChattanooga Lookouts · 568 PAwOBA .342 → .271 (−71)K% 26.4% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.41%	÷0.961	×1.220	—	—	33.54%
BB% (unintentional) /PA	9.33%	÷1.078	×0.680	—	×1.012	5.96%
HBP% /PA	0.88%	—	×0.840	—	×1.012	0.75%
Singles /BIP	19.83%	÷1.072	×0.920	×0.968	×1.012	16.67%
Doubles /BIP	9.07%	÷0.979	×0.910	×0.968	×1.012	8.25%
Triples /BIP	1.13%	÷0.900	×0.880	×0.968	×1.012	1.09%
Home runs /BIP	6.23%	÷0.975	×0.800	—	×1.012	5.18%

Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 114, 2B 96, 3B 80, K 92, BB 116 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.968.

Result: wOBA .342 → .271; ISO .211 → .175; BABIP .316 → .271. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 A+Fort Myers Miracle · 162 PAwOBA .385 → .288 (−97)K% 29.0% → 43.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.01%	÷0.947	×1.420	—	—	43.52%
BB% (unintentional) /PA	8.64%	÷1.209	×0.750	—	×0.998	5.35%
HBP% /PA	1.85%	—	×0.930	—	×0.998	1.72%
Singles /BIP	23.96%	÷0.982	×0.920	×1.007	×0.998	22.55%
Doubles /BIP	6.25%	÷1.178	×0.960	×1.007	×0.998	5.11%
Triples /BIP	0.00%	÷1.150	×0.810	×1.007	×0.998	0.00%
Home runs /BIP	11.46%	÷0.942	×0.880	—	×0.998	10.68%

Factors used: league row FSL. Park (home-season share, regressed): HR 88, 1B 96, 2B 136, 3B 130, K 89, BB 142 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .385 → .288; ISO .273 → .208; BABIP .341 → .310. 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 ROKElizabethton Twins · 99 PAwOBA .403 → .284 (−119)K% 21.2% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.21%	÷1.000	×1.420	—	—	30.12%
BB% (unintentional) /PA	11.11%	÷1.000	×0.640	—	×0.965	6.86%
HBP% /PA	1.01%	—	×0.740	—	×0.965	0.72%
Singles /BIP	18.75%	÷1.000	×0.840	×0.950	×0.965	14.44%
Doubles /BIP	7.81%	÷1.000	×0.740	×0.950	×0.965	5.30%
Triples /BIP	0.00%	÷1.000	×0.740	×0.950	×0.965	0.00%
Home runs /BIP	10.94%	÷1.000	×0.800	—	×0.965	8.44%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .403 → .284; ISO .306 → .222; BABIP .288 → .208. 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
#1Jeromy Burnitz'93-'06 * career totals — 13 seasons, 6,579 PA	9.9	6,579	315	74	243*	330*	466*	-62	-31	22.9	21.7
/162	664	32	7	-6.3	-3.1	2.3	pk7: 20
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.6	3,707	192	31	252	324	480	-40	-26	16.5	16.3
/162	664	34	6	-7.1	-4.7	3.0	pk7: 16
#2Luke Scottlast yr '13 career totals — 9 seasons, 3,193 PA	4.8	3,193	135	17	258	340	481	-40	-13	14.7	15.0
/162	664	28	4	-8.4	-2.7	3.1	pk7: 15
#3Tony Conigliaro'64-'75 * career totals — 8 seasons, 3,591 PA	5.4	3,591	166	20	271*	332*	519*	-38	-10	13.5	13.8
/162	664	31	4	-7.0	-1.9	2.5	pk7: 14
#4Khris Davislast yr '21 career totals — 9 seasons, 3,804 PA	5.7	3,804	221	18	242	314	491	-40	-39	13.3	13.4
/162	664	39	3	-7.0	-6.9	2.3	pk7: 13
#5Mitch Hanigerlast yr '24 career totals — 8 seasons, 3,089 PA	4.7	3,089	130	19	250	324	448	-31	-36	7.8	8.4
/162	664	28	4	-6.7	-7.8	1.7	pk7: 9
#6Nick Esasky'83-'90 * career totals — 7 seasons, 3,064 PA	4.6	3,064	122	18	248*	329*	480*	-33	-30	6.9	7.1
/162	664	26	4	-7.2	-6.5	1.5	pk7: 7

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
Brent Rooker (OGILVIE)	32	55	60	50	50	256/328/491	235	299	10	2	26%	9%	130	+1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jonny Gomes 2013 · MLB	32	48→53	57→60	46→50	52	247/343/446	198	308	26	8	28%	11%	124	+3.1	238/332/400	162	306	21	4	27%	11%	109	+2.0	226/323/364	138	295	17	1	27%	11%	99	+0.6
✕Justin Upton 2020 · MLB	32	47→57	60→65	46→55	52	249/336/463	214	311	29	8	29%	11%	124	+3.1	221/306/413	192	277	26	6	29%	10%	103	+1.5	195/285/378	183	241	26	4	30%	9%	88	+0.2
●Matt Kemp 2017 · MLB	32	51→61	59→65	48→55	43	268/310/479	212	308	27	6	23%	6%	120	+2.8	270/310/458	188	317	25	3	23%	6%	114	+2.4	274/320/455	182	325	24	1	23%	6%	119	+1.6
●Josh Willingham 2012 · MLB	33	48→53	61→65	49→45	55	254/349/478	223	292	29	7	23%	11%	133	+3.7	239/345/453	214	284	27	4	25%	12%	126	+3.2	227/344/433	206	272	26	2	26%	13%	122	+2.4
✕Corey Hart 2014 · MLB	32	52→56	59→65	48→55	47	270/331/488	218	314	26	7	23%	7%	128	+3.4	223/278/380	157	274	19	6	26%	6%	84	+0.2	199/249/337	138	242	18	3	26%	5%	62	-0.5
●Jorge Soler 2024 · MLB	32	43→52	64→70	41→45	53	243/328/484	240	274	33	2	25%	10%	127	+3.3	234/321/435	201	289	25	2	27%	10%	113	+2.3	221/313/403	182	282	21	0	28%	10%	103	+1.1
✕Alex Dickerson 2022 · MLB	32	49→56	58→60	49→45	48	257/324/462	206	292	26	4	22%	8%	120	+2.8	217/275/369	152	264	18	5	25%	7%	80	-0.1	183/235/311	127	226	14	1	25%	6%	49	-1.6
✕Mitch Haniger 2022 · MLB	31	45→55	63→65	49→50	47	252/319/483	231	284	33	3	25%	8%	124	+3.1	234/303/418	184	281	25	3	26%	8%	103	+1.5	215/289/368	152	269	20	1	27%	8%	86	+0.2
●Jermaine Dye 2007 · MLB	33	53→61	66→70	47→45	50	288/350/546	257	305	35	8	19%	8%	149	+4.9	273/336/512	239	290	32	4	18%	8%	136	+3.9	264/330/490	227	279	30	2	18%	8%	130	+3.5
✕Luke Voit 2022 · MLB	31	48→54	62→65	46→30	49	259/340/485	226	313	32	2	28%	9%	131	+3.6	225/309/404	179	305	23	4	32%	10%	101	+1.4	209/299/378	169	288	22	2	33%	10%	93	+0.6
●AJ Pollock 2021 · MLB	33	48→58	62→65	48→55	45	263/316/489	226	288	31	10	22%	6%	124	+3.1	261/312/453	192	293	24	8	20%	6%	114	+2.3	253/304/430	177	284	22	7	19%	6%	107	+1.1
✕Preston Wilson 2006 · MLB	32	50→52	58→60	42→55	47	262/325/467	205	308	25	8	24%	8%	122	+2.9	254/305/418	164	308	20	12	23%	6%	103	+1.5	260/302/418	158	312	19	13	23%	5%	102	+1.3
●Salvador Perez 2023 · MLB	33	48→58	67→70	47→30	39	270/308/522	251	298	38	2	24%	4%	130	+3.5	258/299/458	200	289	28	1	22%	4%	111	+2.1	253/296/448	195	279	28	0	21%	4%	108	+2.0
✕Garrett Jones 2013 · MLB	32	48→52	59→60	47→50	49	258/314/472	214	283	27	6	20%	8%	118	+2.7	247/302/437	190	287	22	3	22%	7%	106	+1.8	239/295/415	176	282	19	1	22%	7%	99	+0.8
✕David Dellucci 2007 · MLB	33	50→46	61→65	45→50	57	264/358/497	233	300	28	7	22%	12%	140	+4.2	244/316/416	172	288	18	7	21%	8%	106	+1.8	229/294/374	145	276	14	6	22%	6%	89	+0.2
✕Jason Bay 2010 · MLB	31	51→59	62→65	52→50	57	267/363/502	234	309	29	10	23%	12%	143	+4.4	251/337/422	171	307	19	13	23%	11%	115	+2.4	237/319/373	137	293	14	14	23%	10%	98	+0.8
✕Josh Hamilton 2013 · MLB	32	52→62	65→70	48→50	46	282/333/529	247	311	33	8	22%	7%	139	+4.2	256/310/443	187	317	22	5	26%	7%	111	+2.1	251/304/417	166	319	19	3	26%	6%	103	+1.1
✕Dean Palmer 2001 · MLB	32	48→47	59→60	45→50	53	253/334/461	208	294	28	6	24%	10%	124	+3.1	234/318/412	178	282	22	8	25%	10%	107	+1.8	222/317/426	204	253	27	10	24%	11%	111	+0.9
●Willson Contreras 2024 · MLB	32	48→58	59→60	44→45	52	254/350/466	212	293	26	7	23%	10%	130	+3.5	258/354/464	206	313	25	6	25%	10%	132	+3.6	258/360/469	211	317	27	5	26%	10%	137	+3.3
✕Brad Miller 2022 · MLB	32	43→53	60	50	52	235/323/453	218	286	29	6	28%	11%	118	+2.6	221/299/370	149	285	19	8	28%	10%	90	+0.6	198/275/305	107	258	15	6	28%	9%	65	-0.4

Brent Rooker

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps