Michael Brooks

2B Stockton Ports

Age 25 R/R 5'11" / 190 lbs A HR -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1963ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	23	AOAK	103	.208/.390/.247	0	1	51	—	.176/.300/.212
2026	24	AOAK	413	.237/.370/.377	9	9	63	—	.188/.286/.295
2027PROJMLE	25	MLBOAK	380	.219/.314/.329	6	6	85	0.5
2028PROJ38% MLB	26	MLBOAK	89	.227/.320/.345	2	1	86	0.1
2029PROJ52% MLB	27	MLBOAK	140	.227/.320/.347	2	2	86	0.1

Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Ext$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Chase%88

BB%84

Whiff%83

K%81

Z-Con%64

ISO54

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsKevin Nolan (age 25) · Noah Cardenas (age 24) · Wynston Sawyer (age 25)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 209 proj PA

wRC+†85

AVG/OBP/SLG.217 / .311 / .326

PA209

HR3

K%24

BB%11

ISO110

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · ContractCON 47 / POW 37

Toolsscout grade

CONTACT47

scouting grade only

POWER37

scouting grade only

EYE63

scouting grade only

SPEED47

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$0.9M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.8M	+$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. 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)
2025	23	A	Stockton Ports	—	103	77	16	3	0	0	23	18	0	1	2	208	390	247	637	39	262	17	22	307	51	—	—	—	—	—	—
2026	24	A	Stockton Ports	—	413	334	79	14	3	9	69	73	2	9	1	237	370	377	748	141	270	18	17	337	63	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	23	A MLE	Stockton Ports	—	103	85	15	3	0	0	15	24	0	1	2	176	300	212	512	35	229	23	15	244	51	—	—	—	—	—	—
2026	24	A MLE	Stockton Ports	—	413	356	67	11	3	7	47	99	2	9	1	188	286	295	581	107	225	24	11	261	63	—	—	—	—	—	—
2025	23	A MLE	Stockton Ports	—	103	85	15	3	0	0	15	24	0	1	2	176	300	212	512	35	238	23	15	244	51	—	—	—	—	—	—
2025	23	A RAW	Stockton Ports	—	103	77	16	3	0	0	23	18	0	1	2	208	390	247	637	39	262	17	22	307	51	—	—	—	—	—	—
2026	24	A MLE	Stockton Ports	—	413	356	67	11	3	7	47	99	2	9	1	188	286	295	581	107	233	24	11	261	63	—	—	—	—	—	—
2026	24	A RAW	Stockton Ports	—	413	334	79	14	3	9	69	73	2	9	1	237	370	377	748	141	270	18	17	337	63	—	—	—	—	—	—
2025	23	A MLE	Stockton Ports	—	103	87	15	3	0	0	15	24	0	1	2	172	300	207	507	34	229	23	15	244	51	—	—	—	—	—	—
2026	24	A MLE	Stockton Ports	—	413	361	67	11	3	7	47	99	2	9	1	186	286	291	577	105	225	24	11	261	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	23	A MLE	Stockton Ports	—	103	87	15	3	0	0	15	24	0	1	2	172	300	207	507	34	229	23	15	244	51	—	—	—	—	—	—
2026	24	A MLE	Stockton Ports	—	413	361	67	11	3	7	47	99	2	9	1	186	286	291	577	105	225	24	11	261	63	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	OAK	0%	380	331	72	14	2	6	43	91	3	6	2	219	314	329	643	110	280	24	11	294	85	-7	+0	+0	+1	+8	0.5
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	26	MLB MLE	OAK	38%	236	205	45	9	1	4	27	56	2	4	1	220	314	335	649	114	280	24	11	296	86	-4	+0	+0	+1	+5	0.3
2029	27	MLB MLE	OAK	52%	268	234	52	10	1	5	30	64	2	4	1	221	314	336	650	115	280	24	11	296	86	-4	+0	+0	+1	+6	0.3
2030	28	MLB MLE	OAK	60%	287	251	55	11	1	5	32	69	2	4	1	220	312	335	647	115	280	24	11	295	86	-5	+0	-1	+1	+6	0.2
2031	29	MLB MLE	OAK	62%	291	255	56	11	1	5	32	71	2	4	1	219	310	333	643	114	280	24	11	293	84	-5	+0	-1	+1	+6	0.1
2032	30	MLB MLE	OAK	63%	290	255	55	11	1	5	31	71	2	4	1	218	307	329	637	112	279	24	11	290	82	-6	+0	-2	+1	+6	-0.0
2033	31	MLB MLE	OAK	63%	278	245	52	10	1	4	29	69	2	3	2	214	303	320	622	106	276	25	10	284	79	-7	-0	-3	+1	+6	-0.3
2028	26	MLB CTX	OAK	38%	89	78	19	4	1	2	10	21	1	1	0	227	320	345	666	119	290	24	11	302	86	-1	+0	+0	+0	+2	0.1
2029	27	MLB CTX	OAK	52%	140	122	28	6	1	2	16	34	1	2	1	227	320	347	666	120	290	24	11	303	86	-2	+0	+0	+0	+3	0.1
2030	28	MLB CTX	OAK	60%	171	149	34	7	1	3	19	41	1	3	1	227	318	346	664	119	290	24	11	301	86	-3	+0	-0	+1	+4	0.1
2031	29	MLB CTX	OAK	62%	179	157	35	7	1	3	19	43	1	2	1	226	316	344	659	118	289	24	11	299	84	-3	+0	-1	+1	+4	0.0
2032	30	MLB CTX	OAK	63%	182	160	35	7	1	3	19	45	1	2	1	224	313	340	653	116	288	25	10	297	82	-4	+0	-1	+1	+4	-0.1
2033	31	MLB CTX	OAK	63%	176	154	34	7	1	3	19	44	1	2	1	220	308	330	638	110	285	25	11	291	79	-4	+0	-2	+1	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	937	820	185	38	6	16	102	228	6	12	5	226	316	345	661	120	291	24	11	298	79	-18	+0	-4	+3	+20	0.2
/ 162G	—	A+C		—	650	569	128	26	4	11	71	158	4	8	3	225	315	343	658	118	290	24	11	298	79	-13	+0	-3	+2	+14	0.1
Career	—	MLE		—	2375	2068	437	84	10	38	267	573	15	36	11	211	306	317	623	105	271	24	11	285	79	-35	+2	-7	+7	+40	0.7
/ 162G	—	MLE		—	650	566	119	23	3	10	73	157	4	10	3	210	304	314	619	104	270	24	11	285	79	-12	+1	-2	+2	+14	0.2

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.

2026 AStockton Ports · 413 PAwOBA .335 → .261 (−73)K% 17.7% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.68%	÷1.000	×1.360	—	—	24.04%
BB% (unintentional) /PA	16.71%	÷1.000	×0.690	—	×0.980	11.30%
HBP% /PA	0.48%	—	×0.780	—	×0.980	0.37%
Singles /BIP	20.31%	÷1.000	×0.920	×0.950	×0.980	17.39%
Doubles /BIP	5.36%	÷1.000	×0.830	×0.950	×0.980	4.14%
Triples /BIP	1.15%	÷1.000	×0.910	×0.950	×0.980	0.97%
Home runs /BIP	3.45%	÷1.000	×0.800	—	×0.980	2.70%

Factors used: level-wide A 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 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .335 → .261; ISO .141 → .113; BABIP .270 → .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).

2025 AStockton Ports · 103 PAwOBA .307 → .244 (−63)K% 17.5% → 23.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.48%	÷1.011	×1.360	—	—	23.50%
BB% (unintentional) /PA	22.33%	÷1.029	×0.690	—	×0.990	14.82%
HBP% /PA	0.00%	—	×0.780	—	×0.990	0.00%
Singles /BIP	22.03%	÷1.003	×0.920	×0.973	×0.990	19.47%
Doubles /BIP	5.08%	÷0.990	×0.830	×0.973	×0.990	4.11%
Triples /BIP	0.00%	÷1.150	×0.910	×0.973	×0.990	0.00%
Home runs /BIP	0.00%	÷1.113	×0.800	—	×0.990	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 101, 2B 98, 3B 130, K 102, BB 106 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.973.

Result: wOBA .307 → .244; ISO .039 → .034; BABIP .262 → .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
#1Jack Hannahanlast yr '14 career totals — 7 seasons, 1,867 PA	2.8	1,867	29	6	232	315	348	+6	+29	6.2	6.2
/162	664	10	2	+2.0	+10.4	2.2	pk7: 6
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#3Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
/162	664	3	5	+6.8	+5.8	1.0	pk7: 7
#4Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
/162	664	3	3	+3.6	+9.1	0.9	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.7	1,146	20	16	219	308	332	+11	+12	2.3	2.3
/162	664	11	9	+6.2	+7.0	1.3	pk7: 2
#5Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
#6Ryan 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

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
Michael Brooks (OGILVIE)	25	47	37	47	63	217/311/326	109	280	3	3	24%	11%	85	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kevin Nolan 2013 · A	25	50→49	41→45	47→50	49	241/301/352	111	291	7	10	19%	8%	85	+0.2	233/278/328	95	272	7	8	17%	6%	71	-0.8	228/269/313	86	261	6	7	15%	5%	62	-1.2
✕Noah Cardenas 2024 · A	24	47→45	40→45	45	53	222/321/319	97	298	7	9	26%	11%	87	+0.4	191/290/299	108	255	11	6	28%	10%	72	-0.7	160/269/272	112	204	15	4	28%	10%	55	-0.9
✕Wynston Sawyer 2017 · A	25	46	42→45	46→45	49	221/299/327	106	277	9	6	23%	8%	80	-0.2	220/291/325	105	291	8	5	26%	7%	76	-0.4	211/274/308	97	288	7	1	28%	5%	62	-0.4
✕Jamie Ritchie 2018 · AA	25	50→53	39→40	47→45	53	234/321/318	83	305	6	6	23%	10%	86	+0.3	236/313/333	97	310	7	6	24%	9%	86	+0.3	247/328/340	93	319	6	3	22%	9%	90	+0.3
✕Zach Humphreys 2023 · AA	25	45	43→40	49→50	52	221/304/327	106	290	11	12	26%	10%	82	-0.0	212/285/304	92	286	7	15	26%	9%	69	-0.9	198/271/277	78	269	5	16	26%	8%	55	-0.8
✕Jackson Brennan 2008 · A	25	43→41	42→40	47→50	47	208/298/311	103	280	9	10	27%	8%	77	-0.3	209/295/297	88	297	7	10	29%	9%	72	-0.7	165/280/182	17	263	0	6	32%	12%	40	-0.6
✕Shane Justis 2008 · A	25	50→52	43→40	52→50	48	244/305/359	114	284	11	10	18%	7%	88	+0.5	241/299/331	90	283	5	10	16%	6%	80	-0.2	243/301/325	82	284	4	9	15%	5%	76	-0.3
✕Tyler Smith 2016 · AA	25	51→54	39→40	47→50	50	242/309/332	90	305	6	9	22%	8%	84	+0.1	221/275/307	86	285	7	7	24%	6%	65	-1.2	207/257/288	81	268	7	5	24%	5%	52	-1.2
✕Richard Racobaldo 2010 · A	25	49→46	43→45	49→50	45	239/292/354	114	295	11	9	22%	6%	82	+0.0	222/278/313	91	313	6	8	29%	7%	68	-1.0	215/273/295	80	311	4	6	30%	7%	59	-1.3
✕Graysen Tarlow 2024 · A	23	45	43→30	49→40	50	217/307/331	113	283	10	8	25%	9%	84	+0.1	211/291/285	74	299	6	6	29%	8%	68	-1.0	224/307/292	68	313	6	7	28%	8%	76	-0.1
✕Michael Turconi 2023 · A	24	50→46	40→45	45→50	51	236/313/323	87	291	7	9	21%	9%	84	+0.1	212/297/306	94	313	6	8	31%	10%	74	-0.6	197/287/281	85	301	5	7	33%	10%	63	-0.7
✕Greg Cullen 2022 · AA	25	46→44	42→40	43→40	51	220/312/326	106	290	9	4	26%	10%	85	+0.2	234/325/336	102	316	10	6	26%	11%	92	+0.7	234/334/325	91	316	9	5	26%	11%	91	+0.3
✕Jeferson Morales 2024 · A	25	40→47	45	51→50	45	202/283/328	127	268	13	10	28%	8%	75	-0.5	225/294/348	123	279	11	8	22%	7%	82	+0.0	227/297/352	126	275	11	7	21%	6%	82	+0.0
✕Patrick Frick 2022 · AA	25	50→51	42→45	49→45	46	239/315/346	107	322	10	7	27%	8%	90	+0.6	220/284/293	73	300	5	7	26%	7%	66	-1.1	208/269/251	43	286	1	4	26%	6%	50	-0.9
✕Daniel Lyons 2009 · A	24	47	40	50	48	223/304/325	102	285	7	13	23%	8%	81	-0.1	196/280/278	82	263	5	14	25%	9%	62	-1.4	163/256/221	59	224	3	15	26%	10%	40	-1.4
✕Seth Mejias-Brean 2016 · AA	25	49→53	41→45	48→45	49	235/303/338	102	300	8	7	23%	8%	82	+0.0	229/282/315	86	297	7	6	24%	6%	70	-0.9	225/277/331	106	283	11	6	24%	6%	68	-0.7
✕Alsander Womack 2024 · AA	25	47	41→45	44→45	49	227/294/320	93	276	10	7	21%	8%	76	-0.4	218/278/305	87	281	8	10	24%	7%	66	-1.1	186/233/224	38	248	3	12	25%	5%	30	-0.9
✕Jake Lemmerman 2014 · AA	25	44→51	42→45	52→45	48	214/293/321	107	288	9	10	27%	9%	76	-0.4	198/269/305	107	277	10	9	30%	8%	63	-1.3	149/222/246	97	208	9	4	32%	8%	31	-1.5
✕Robert Emery 2022 · A	25	49	46→45	45→30	46	242/310/368	127	301	14	7	24%	7%	93	+0.8	216/296/318	102	316	8	4	32%	8%	77	-0.3	197/288/289	92	301	7	0	33%	8%	66	-0.4
✕Chris Westervelt 2006 · A	24	46	44→45	47→45	51	224/302/348	125	278	11	4	23%	9%	86	+0.3	214/278/341	127	304	14	7	32%	8%	75	-0.5	172/236/294	122	249	19	5	38%	8%	49	-0.6

Michael Brooks

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps