Zander Darby — OGILVIE

Zander Darby3B Eugene Emeralds

Age 23 L/R 6'2" / 218 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION459 act + 9 ros · stats below = ROS only

showingROS

wRC+†58

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%44

BB%11

BABIP298

ISO123

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 50 / POW 40

Toolsscout grade

CONTACT50

scouting grade only

POWER40

scouting grade only

EYE60

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2024	21	A	San Jose Giants	—	57	47	11	0	0	4	9	17	0	0	0	234	357	489	847	255	259	30	16	367	135	+2	+0	—	—	+1	0.4
2025	22	A+	Eugene Emeralds	—	69	57	7	3	0	1	9	29	2	1	0	123	265	228	493	105	214	42	13	238	47	-4	+0	—	—	+1	-0.3
2025	22	A	San Jose Giants	—	244	196	57	14	2	5	37	45	4	10	1	291	414	459	873	168	342	18	15	381	144	+13	+2	—	—	+5	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	San Jose Giants	—	57	49	9	0	0	3	7	24	0	0	0	184	286	367	653	184	243	42	12	295	86	-1	+0	—	—	+1	0.0
2025	22	A+ MLE	Eugene Emeralds	—	69	60	5	2	0	1	6	38	2	1	0	83	191	167	358	83	168	55	9	159	-6	-9	+0	—	—	+1	-0.7
2025	22	A MLE	San Jose Giants	—	244	208	47	10	2	3	25	63	4	10	1	226	321	337	657	111	281	26	10	293	84	-5	+2	—	—	+5	0.2
2024	21	A MLE	San Jose Giants	—	57	49	9	0	0	3	7	24	0	0	0	184	286	367	653	184	261	42	12	295	86	—	—	—	—	—	—
2024	21	A RAW	San Jose Giants	—	57	47	11	0	0	4	9	17	0	0	0	234	357	489	847	255	259	30	16	367	86	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	313	268	52	12	2	4	31	101	6	11	1	194	292	299	590	104	282	32	10	263	64	—	—	—	—	—	—
2025	22	A RAW	2 teams	—	313	253	64	17	2	6	46	74	6	11	1	253	380	407	787	154	322	24	15	349	64	—	—	—	—	—	—
2024	21	A MLE	San Jose Giants	—	57	50	9	0	0	3	7	24	0	0	0	180	286	360	646	180	243	42	12	295	86	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	313	273	52	12	2	4	31	101	6	11	1	190	292	293	585	103	256	32	10	263	64	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	San Jose Giants	—	57	50	9	0	0	3	7	24	0	0	0	180	286	360	646	180	243	42	12	295	86	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	313	273	52	12	2	4	31	101	6	11	1	190	292	293	585	103	256	32	10	263	64	—	—	—	—	—	—
YTD	23	A+ MLE	SF	—	459	429	81	16	1	13	24	203	4	10	1	189	239	322	560	133	316	44	5	240	49	-28	+2	+0	+2	+10	-1.5
▸ 2026 season
YTD	23	A+ RAW	SF	—	432	389	108	25	1	18	36	135	4	10	1	278	344	486	830	208	378	31	8	364	49	—	—	—	—	—	—
YTD	23	AA RAW	SF	—	27	25	6	0	0	0	2	11	0	0	0	240	296	240	536		429	41	7	253	49	—	—	—	—	—	—
ROS	23	A+ MLE	SF	0%	9	8	1	0	0	0	1	4	0	0	0	125	222	125	347		304	44	11	254	58	-0	+0	+0	+0	+0	-0.0
TOT	23	A+ MLE	SF	—	468	437	82	16	1	13	25	207	4	10	1	188	238	318	556	130	315	44	5	240	49	-28	+2	+0	+2	+10	-1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	SF	30%	413	378	74	15	1	11	28	163	4	7	1	196	259	328	587	132	302	39	7	262	64	-18	+1	+0	+1	+9	-0.7
2028	25	MLB MLE	SF	44%	445	407	81	16	1	12	31	169	4	8	1	199	262	332	594	133	301	38	7	269	68	-17	+1	+0	+2	+10	-0.4
2029	26	MLB MLE	SF	51%	464	424	85	17	1	13	33	172	4	8	1	200	265	337	602	137	300	37	7	273	71	-16	+1	+0	+2	+10	-0.3
2030	27	MLB MLE	SF	52%	469	428	86	17	1	13	34	173	4	9	1	201	266	336	603	136	299	37	7	274	72	-16	+1	+0	+2	+10	-0.3
2031	28	MLB MLE	SF	53%	468	427	86	17	1	13	34	173	4	8	1	201	267	337	604	136	299	37	7	273	71	-16	+1	-1	+2	+10	-0.4
2027	24	MLB CTX	SF	30%	125	115	21	4	0	3	8	49	1	2	0	183	242	296	538	113	295	39	6	249	64	-5	+0	+0	+0	+3	-0.2
2028	25	MLB CTX	SF	44%	197	179	35	7	1	5	14	75	2	3	0	196	262	330	591	134	294	38	7	255	68	-7	+1	+0	+1	+4	-0.2
2029	26	MLB CTX	SF	51%	236	215	42	8	1	6	17	88	2	4	0	195	261	326	586	130	294	37	7	259	71	-8	+1	+0	+1	+5	-0.1
2030	27	MLB CTX	SF	52%	246	224	45	9	1	7	18	91	2	4	1	201	266	344	610	143	293	37	7	260	72	-8	+0	+0	+1	+5	-0.2
2031	28	MLB CTX	SF	53%	249	227	46	9	1	7	18	92	2	4	1	203	267	344	611	141	292	37	7	259	71	-9	+0	-0	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1053	960	189	37	4	28	75	395	9	17	2	197	261	331	593	134	297	38	7	257	69	-38	+3	-0	+4	+23	-0.9
/ 162G	—	A+C		—	650	593	116	23	2	17	46	244	6	10	1	196	260	327	588	132	296	38	7	257	69	-23	+2	-0	+2	+14	-0.6
Career	—	MLE		—	2638	2389	474	94	7	69	199	979	26	51	6	198	267	330	598	132	298	37	8	270	69	-83	+6	-1	+8	+49	-2.1
/ 162G	—	MLE		—	650	589	117	23	2	17	49	241	6	13	1	199	267	331	598	132	299	37	8	270	69	-24	+2	-0	+2	+14	-0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#2Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#3Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#4Ryan 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.6	1,055	30	19	202	264	341	+4	+1	-0.2	-0.1
/162	664	19	12	+2.4	+0.6	-0.1	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Zander Darby (OGILVIE)	23	50	40	50	60	187/247/314	127	304	8	6	42%	6%	58	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Caleb Roberts 2023 · AA	23	40→46	42→50	50	42	193/272/298	105	296	9	12	35%	8%	63	-1.3	208/283/336	128	298	11	11	32%	8%	76	-0.4	203/278/333	131	282	12	10	30%	8%	71	-0.6
✕Oliver Dunn 2022 · AA	24	39→46	44→45	53→55	46	189/273/305	116	294	11	14	37%	10%	65	-1.2	219/303/367	148	341	14	14	36%	10%	91	+0.6	202/286/331	129	310	11	20	35%	9%	73	-0.4
✕Gosuke Katoh 2018 · A	23	46→52	40→45	48→50	44	213/280/312	99	319	7	11	33%	8%	69	-0.9	216/281/310	94	314	7	11	31%	8%	68	-1.0	220/287/313	93	311	7	11	29%	8%	69	-0.7
✕Chad Castillo 2023 · A	23	45	46→50	49→45	38	216/275/349	133	334	13	6	37%	7%	76	-0.4	213/282/344	131	312	15	7	35%	6%	78	-0.3	203/279/340	137	274	19	5	32%	6%	75	-0.2
✕Brian Pointer 2015 · A	23	40→41	44→45	49→50	41	196/272/311	116	298	11	13	36%	8%	67	-1.1	216/287/346	130	316	13	11	33%	8%	79	-0.2	213/286/355	142	301	15	10	32%	9%	77	-0.2
✕Marcus Lee Sang 2023 · A	22	44→54	44→45	49→50	36	206/266/321	114	334	13	15	40%	6%	65	-1.2	207/268/323	116	320	11	14	36%	7%	67	-1.1	221/280/341	119	326	12	15	34%	7%	72	-0.6
✕James Jones 2012 · A	23	44→53	42→45	53→60	42	210/273/320	110	306	9	15	33%	7%	68	-1.0	233/284/340	107	319	8	22	28%	6%	76	-0.4	242/289/344	102	320	6	29	25%	6%	75	-0.4
✕Kevin Rivers 2012 · A	23	41→44	46→50	48→45	40	206/264/329	123	292	14	8	34%	7%	67	-1.1	209/276/338	129	295	12	6	31%	8%	74	-0.6	205/273/334	129	283	11	4	30%	8%	69	-0.7
✕Carlos Moncrief 2012 · A	23	40→50	44→50	51→50	42	192/268/313	122	310	10	12	39%	9%	65	-1.2	215/270/358	143	314	14	12	34%	7%	76	-0.4	230/285/359	129	293	12	11	25%	7%	79	-0.2
✕Imanol Vargas 2021 · A	23	44→43	45→50	46→45	46	211/291/336	125	311	13	8	34%	10%	78	-0.3	206/287/361	155	334	19	4	40%	10%	83	+0.1	204/288/352	148	322	17	2	39%	10%	80	-0.1
✕Nick Schnell 2023 · A	23	41→44	43→50	47→50	37	186/256/288	102	345	11	10	46%	8%	55	-2.0	193/247/322	129	318	14	9	41%	6%	59	-1.7	204/256/352	148	300	17	13	36%	6%	67	-0.8
✕Patrick Winkel 2023 · A	23	44	43→45	48→40	41	208/272/314	107	322	11	5	37%	8%	66	-1.1	209/268/315	106	310	10	4	34%	7%	65	-1.2	199/255/300	101	293	10	2	34%	7%	54	-0.9
✕D.J. Hicks 2013 · A	23	45→47	43→45	49→30	41	209/280/316	107	330	10	5	37%	8%	70	-0.8	220/280/336	116	307	11	2	30%	7%	74	-0.5	216/278/331	115	295	11	1	29%	8%	71	-0.6
✕Estevan Florial 2021 · A	23	43→53	42→50	47→60	37	201/256/308	107	335	10	12	41%	7%	59	-1.7	207/273/348	141	314	15	24	36%	8%	75	-0.5	208/278/361	153	307	17	29	36%	8%	78	-0.3
✕Alberto Rodriguez 2023 · A	22	44→52	42→45	46→50	40	209/266/317	108	310	9	7	34%	7%	65	-1.2	219/270/331	112	313	9	9	31%	6%	70	-0.9	215/269/320	106	306	9	7	31%	6%	64	-0.8
✕Carlo Testa 2010 · A	23	45→49	45→50	52→50	41	218/277/346	128	325	12	14	35%	7%	76	-0.4	224/282/357	133	333	11	15	34%	7%	80	-0.2	221/280/358	137	326	12	16	34%	7%	77	-0.3
✕Mickey Hall 2008 · A	23	40→44	43→50	48→45	42	192/264/309	117	308	9	6	38%	8%	62	-1.4	194/270/314	120	290	12	8	34%	9%	66	-1.1	172/254/287	116	251	12	8	35%	9%	53	-1.1
✕Bruce Caldwell 2015 · A	23	39→45	47→45	53→40	36	201/250/343	142	295	15	4	36%	6%	65	-1.2	207/271/318	111	305	10	4	33%	8%	67	-1.1	204/269/307	103	301	10	1	34%	8%	62	-1.1
✕Derrick Loveless 2016 · A	23	41→50	41→45	49→50	45	198/273/296	98	297	8	9	34%	9%	63	-1.4	206/282/308	102	317	7	9	34%	9%	69	-0.9	204/284/308	103	314	6	9	34%	10%	67	-0.6
✕Nick Plummer 2019 · A	23	36→46	40→45	43→50	45	168/271/258	91	294	8	8	41%	11%	55	-1.9	180/280/287	107	313	9	8	41%	10%	65	-1.2	185/283/303	118	301	12	10	38%	9%	67	-0.7

Career Stats + Projections

Career Comps

Career Path Comps