Drew Burress

CF Stockton Ports

Age 22 R/R A HR -5% Svc 0.0 · Ctrl thru 2036

Overview

APROSPECTMiLBFA 2037

OGV OFP35OGV rank#518ETA2029MLB%4%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	21	AOAK	137	.291/.431/.591	7	14	105	—	.203/.314/.398
2027PROJMLE	22	MLBOAK	3	.225/.303/.389	0	0	90	0.0
2028PROJ36% MLB	23	MLBOAK	47	.228/.305/.395	1	1	93	0.1
2029PROJ47% MLB	24	MLBOAK	97	.230/.308/.400	3	2	95	0.2

Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$2M+2

Skills · percentileMiLB Statcast 2026 A

Speed99

ISO98

wOBA95

wRC+93

Chase%93

BB%85

Career WAR0.0 WAR median (P10 -0.5 / P90 3.6, comp-based) · star 2% · didn't stick 90%

CompsZack Gelof (age 22) · Everson Pereira (age 22) · Noelvi Marte (age 21)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†90

AVG/OBP/SLG.225 / .303 / .389

PA3

HR0

K%33

BB%9

BABIP305

ISO151

MLB%4%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Arb-1	$2M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-3	$2M	—	—	—
Totals		$3M		$5M	+$2M

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)
2026	21	A	Stockton Ports	—	137	110	32	6	3	7	23	38	4	14	1	291	431	591	1.022	300	385	28	17	442	105	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A MLE	Stockton Ports	—	137	118	24	4	2	5	15	52	4	14	1	203	314	398	712	195	321	38	11	323	105	—	—	—	—	—	—
2026	21	A MLE	Stockton Ports	—	137	118	24	4	2	5	15	52	4	14	1	203	314	398	712	195	311	38	11	323	105	—	—	—	—	—	—
2026	21	A RAW	Stockton Ports	—	137	110	32	6	3	7	23	38	4	14	1	291	431	591	1.022	300	385	28	17	442	105	—	—	—	—	—	—
2026	21	A MLE	Stockton Ports	—	137	117	24	4	2	5	15	52	4	14	1	205	314	402	716	197	321	38	11	323	105	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	Stockton Ports	—	137	117	24	4	2	5	15	52	4	14	1	205	314	402	716	197	321	38	11	323	105	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	OAK	4%	247	221	48	8	3	7	21	76	3	6	1	219	297	380	677	161	295	31	9	302	90	-3	+1	+0	+1	+5	0.2
▸ 2027 — real world (MLB)
2027	22	MLB CTX	OAK	4%	3	3	0	0	0	0	0	1	0	0	0	225	303	389	692	164	305	33	0	308	90	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	OAK	36%	131	117	25	4	1	4	11	40	2	3	0	222	300	386	686	164	296	31	8	305	93	-1	+1	+0	+0	+3	0.3
2029	24	MLB MLE	OAK	47%	206	183	41	7	2	6	18	62	3	5	1	224	302	390	693	166	296	30	9	308	95	-1	+1	+0	+1	+4	0.5
2030	25	MLB MLE	OAK	52%	269	241	55	9	3	9	23	79	3	6	1	226	304	393	697	167	296	29	9	310	96	-1	+1	+0	+1	+6	0.7
2031	26	MLB MLE	OAK	54%	317	282	64	11	3	10	28	92	4	7	1	227	305	395	700	168	296	29	9	311	97	-1	+1	+1	+1	+7	0.8
2032	27	MLB MLE	OAK	54%	341	304	69	12	3	11	30	99	4	8	1	227	305	393	698	166	295	29	9	310	96	-2	+1	+1	+1	+7	0.9
2033	28	MLB MLE	OAK	54%	351	313	70	12	3	11	31	102	4	7	1	225	303	389	692	164	294	29	9	308	94	-2	+1	-0	+1	+8	0.8
2034	29	MLB MLE	OAK	53%	348	311	70	12	3	11	30	103	4	7	1	223	300	383	683	160	293	30	9	304	92	-3	+1	-1	+1	+8	0.6
2035	30	MLB MLE	OAK	52%	341	305	68	12	3	10	29	102	4	6	1	220	297	376	672	155	292	30	9	300	89	-4	+1	-1	+1	+7	0.4
2036	31	MLB MLE	OAK	52%	326	291	64	11	3	9	28	98	4	5	1	217	292	366	659	150	289	30	9	294	85	-6	+1	-2	+1	+7	0.1
2028	23	MLB CTX	OAK	36%	47	42	10	2	1	1	4	14	1	1	0	228	305	395	700	167	306	30	9	311	93	-0	+0	+0	+0	+1	0.1
2029	24	MLB CTX	OAK	47%	97	88	20	4	1	3	8	29	1	2	0	230	308	400	707	169	307	30	8	314	95	-1	+0	+0	+0	+2	0.2
2030	25	MLB CTX	OAK	52%	140	125	28	5	1	4	12	41	2	3	0	232	309	403	712	171	306	29	9	316	96	-1	+1	+0	+0	+3	0.4
2031	26	MLB CTX	OAK	54%	172	153	36	7	2	5	15	50	2	4	1	233	310	404	715	171	306	29	9	317	97	-1	+0	+0	+1	+4	0.4
2032	27	MLB CTX	OAK	54%	185	165	39	7	2	6	16	54	2	4	1	233	310	403	713	170	305	29	9	316	96	-1	+0	+0	+1	+4	0.5
2033	28	MLB CTX	OAK	54%	191	170	39	7	2	6	17	56	2	4	1	231	308	398	706	167	304	29	9	314	94	-1	+0	-0	+1	+4	0.4
2034	29	MLB CTX	OAK	53%	185	165	38	7	2	5	16	55	2	4	1	229	305	392	698	163	303	30	9	310	92	-2	+0	-0	+1	+4	0.3
2035	30	MLB CTX	OAK	52%	179	160	37	7	2	5	15	53	2	3	1	226	302	385	687	159	302	30	8	306	89	-2	+0	-1	+1	+4	0.2
2036	31	MLB CTX	OAK	52%	170	152	34	6	2	5	14	51	2	3	1	222	297	375	673	153	299	30	8	300	85	-3	+0	-1	+1	+4	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1366	1220	281	52	15	40	117	403	16	28	6	230	306	396	702	166	307	30	9	311	93	-11	+3	-1	+5	+30	2.5
/ 162G	—	A+C		—	650	581	134	25	7	19	56	192	8	13	3	231	307	396	703	165	308	30	9	311	93	-5	+2	-1	+2	+14	1.2
Career	—	MLE		—	2848	2538	566	97	27	88	250	854	37	70	9	223	302	387	688	164	297	30	9	306	93	-23	+8	-2	+10	+59	5.2
/ 162G	—	MLE		—	650	579	129	22	6	20	57	195	8	16	2	223	301	385	686	162	297	30	9	306	93	-6	+2	-1	+2	+14	1.2

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 · 137 PAwOBA .429 → .323 (−106)K% 27.7% → 37.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.74%	÷1.000	×1.360	—	—	37.72%
BB% (unintentional) /PA	16.06%	÷1.000	×0.690	—	—	11.08%
HBP% /PA	2.92%	—	×0.780	—	—	2.28%
Singles /BIP	22.22%	÷1.000	×0.920	×0.950	—	19.42%
Doubles /BIP	8.33%	÷1.000	×0.830	×0.950	—	6.57%
Triples /BIP	4.17%	÷1.000	×0.910	×0.950	—	3.60%
Home runs /BIP	9.72%	÷1.000	×0.800	—	—	7.78%

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 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .429 → .323; ISO .300 → .226; BABIP .385 → .321. 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
#1Rick Ankiel'99-'13 * career totals — 8 seasons, 2,115 PA	3.2	2,115	76	21	236*	296*	423*	+0	-2	4.6	4.9
/162	664	24	7	+0.1	-0.6	1.4	pk7: 5
#2Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.1	1,369	42	28	225	298	387	+5	+2	3.5	3.3
/162	664	20	14	+2.4	+1.2	1.7	pk7: 3
#4Jacob Brumfield'92-'99 * career totals — 6 seasons, 1,747 PA	2.6	1,747	32	74	244*	305*	386*	-3	+10	3.1	3.1
/162	664	12	28	-1.2	+3.8	1.2	pk7: 3
#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
#6Damon Buford'93-'01 * career totals — 8 seasons, 2,072 PA	3.1	2,072	54	56	230*	296*	371*	-1	-2	0.2	0.8
/162	664	17	18	-0.4	-0.5	0.1	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
Drew Burress (OGILVIE)	22	—	—	—	—	217/295/376	159	295	2	2	31%	9%	90	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Zack Gelof 2022 · A	22	48→53	49→55	54→55	43	235/299/383	148	333	16	17	33%	8%	93	+0.8	237/301/410	173	329	21	20	32%	8%	99	+1.3	233/299/410	177	319	22	24	33%	8%	97	+1.0
✕Everson Pereira 2023 · AA	22	47→49	52→55	54→50	39	232/288/405	173	334	20	16	36%	7%	93	+0.8	228/292/381	153	338	18	15	35%	7%	90	+0.6	220/292/370	150	322	19	15	35%	8%	84	+0.1
✕Noelvi Marte 2023 · A	21	46→55	48→50	49→55	47	231/302/370	139	297	17	16	27%	8%	91	+0.6	241/295/373	132	307	14	19	25%	6%	88	+0.5	247/296/385	137	310	14	21	24%	5%	91	+0.4
✕Phillip Ervin 2014 · A	22	47→51	48→50	54→55	46	236/300/377	141	294	16	14	25%	8%	91	+0.7	207/275/323	116	264	10	20	24%	7%	70	-0.9	240/304/385	144	304	14	21	24%	7%	93	+0.6
✕Aaron Luna 2009 · A	22	42→46	51→50	51→45	45	211/318/370	159	292	18	7	32%	9%	99	+1.2	219/326/372	153	274	16	7	25%	8%	101	+1.4	219/329/369	150	272	17	7	24%	9%	99	+0.8
✕Ceddanne Rafaela 2023 · AA	22	47→55	50→55	58→55	37	238/275/402	164	298	17	19	26%	4%	88	+0.4	245/282/399	154	307	17	23	25%	4%	90	+0.6	250/287/402	152	300	17	19	22%	4%	93	+0.8
✕Agustín Ramírez 2024 · AA	22	44→48	48→55	48→55	47	226/286/366	140	275	16	10	24%	8%	84	+0.1	237/299/402	165	282	19	17	22%	7%	97	+1.1	236/301/405	169	279	19	20	22%	7%	97	+1.1
✕Ezequiel Duran 2022 · A	23	41→51	51→55	50	37	208/267/368	160	305	19	14	37%	6%	78	-0.3	244/288/399	155	319	17	13	28%	5%	92	+0.7	254/295/406	151	322	16	12	25%	5%	95	+0.7
✕Tommy Troy 2024 · A	22	47→55	46→45	57→50	44	228/298/359	132	326	13	18	32%	8%	86	+0.3	223/292/336	113	299	10	17	27%	8%	79	-0.2	233/306/347	114	304	10	17	25%	8%	84	+0.1
✕Andy Burns 2013 · A	22	43→53	47→50	54→55	42	211/280/356	145	295	13	13	32%	7%	80	-0.2	239/287/369	130	297	11	16	22%	6%	84	+0.1	250/295/369	119	301	10	15	20%	5%	85	+0.2
✕Nick Yorke 2024 · AA	22	48→57	46→50	50→55	43	236/293/366	130	314	14	13	29%	7%	86	+0.3	248/304/358	110	328	11	17	26%	7%	88	+0.4	250/308/351	102	325	10	18	25%	7%	85	+0.2
✕Charles McAdoo 2024 · A	22	49→47	49→50	50→55	48	243/314/390	147	311	17	12	27%	9%	99	+1.3	223/285/364	141	308	16	19	31%	7%	82	+0.0	218/283/359	140	297	16	21	31%	7%	78	-0.2
●Matt McLain 2022 · A	22	46→56	44→55	53→55	48	221/299/337	116	298	11	20	28%	9%	82	+0.0	239/322/420	181	326	19	22	30%	9%	109	+2.0	234/319/405	170	315	19	23	30%	10%	104	+1.4
✕Chris Nelson 2008 · A	22	46→56	47→50	53→50	42	231/279/375	144	285	13	13	24%	6%	83	+0.1	231/285/360	129	287	12	12	23%	6%	82	-0.0	260/302/395	135	314	13	7	21%	5%	95	+0.7
✕Tim Tawa 2022 · A	23	45	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	213/278/339	126	273	14	11	26%	8%	74	-0.5	223/286/391	168	267	21	13	25%	7%	88	+0.3
●Thomas Saggese 2023 · AA	21	47→56	48→55	52→50	40	232/283/378	146	321	15	11	32%	6%	85	+0.2	241/293/384	143	323	15	9	29%	6%	91	+0.6	242/297/376	134	324	14	8	29%	6%	88	+0.4
✕Nick Senzel 2017 · A	22	48→58	45→50	51→50	47	232/297/367	135	304	10	16	26%	8%	88	+0.4	256/311/403	147	336	12	14	26%	7%	101	+1.4	263/317/416	154	341	14	16	26%	7%	104	+1.0
✕Henry Davis 2023 · AA	23	46→47	49→50	52→50	42	230/312/381	150	296	16	13	27%	6%	98	+1.2	223/306/371	148	287	17	12	27%	8%	93	+0.8	210/295/352	142	268	18	11	27%	8%	83	+0.1
✕Ryan Bliss 2022 · A	22	43→51	47→50	51→60	39	215/265/348	133	294	15	16	31%	6%	72	-0.7	215/279/342	127	288	12	32	28%	7%	76	-0.4	232/299/362	129	300	10	41	25%	7%	85	+0.2
✕Addison Russell 2015 · AA	21	49→52	51→55	53→50	45	247/308/415	168	312	18	13	26%	7%	103	+1.6	240/302/401	161	300	18	7	25%	7%	98	+1.2	236/301/401	165	290	19	5	25%	7%	99	+1.1

Drew Burress

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps