David García — OGILVIE

David GarcíaC Wisconsin Timber Rattlers

Age 26 S/R 5'10" / 211 lbs A+ BB +10%HR +7% Svc 0.0 · Ctrl thru 2035 peak 0.4 · 2028

wRC+†66

AVG/OBP/SLG.197 / .287 / .296

PA136

HR2

K%31

BB%9

MLB%0%

Scouting · now → future

HIT

39→39

PWR

28→28

SPD

44→44

EYE

60→60

trajectory · 10 yrs

0.4peak

2028

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	Arb-2	$0.9M	+0.3	$1M	+$0.5M
2031	Arb-3	$0.9M	+0.1	$0.5M	+$0.0M (cut)
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$0.2M	—	—	—
2034	Ext / FA-deal	$0.4M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$-4M	-$7M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

Career Projections (MLE)

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	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
2017	17	ROK	DSL Rangers 2	222	196	31	5	1	1	15	71	6	1	0	.158	.240	.209	.449	.051	.234	32	7	.198	10	-23	+0	+0	+4	+6	-1.2
2018	18	ROK	AZL Rangers	129	122	25	6	0	1	6	37	0	0	1	.205	.242	.279	.521	.074	.286	29	5	.220	27	-11	-0	+0	+2	+4	-0.5
2021	21	A+	Hickory Crawdads	328	309	63	9	0	5	13	107	2	0	0	.204	.241	.282	.522	.078	.289	33	4	.229	33	-25	+0	+0	+6	+9	-1.0
2022	22	AA	2 teams	279	256	49	10	1	5	15	89	6	0	1	.191	.253	.297	.550	.105	.270	32	5	.239	41	-18	-0	+0	+5	+8	-0.6
2023	23	AA	2 teams	175	147	26	3	1	2	18	65	9	3	0	.177	.305	.252	.556	.075	.296	37	10	.254	53	-9	+1	+0	+3	+5	-0.1
2024	24	A	Carolina Mudcats	336	284	53	12	0	0	38	94	11	2	0	.187	.306	.229	.535	.042	.275	28	11	.253	52	-18	+0	+0	+6	+10	-0.2
2025	25	A+	Wisconsin Timber Rattlers	22	20	1	0	0	0	1	12	1	0	0	.050	.136	.050	.186	.000	.125	55	5	.128	-44	-4	+0	+0	+0	+1	-0.3
▸ 2026 Season (actual · ROS · total)
2026	26	A+	Wisconsin Timber Rattlers	23	22	5	2	0	1	1	4	0	0	0	.227	.261	.455	.715	.227	.235	17	4	.273	67	-1	+0	+0	+0	+1	0.0
ROS	26	MLB	MIL	113	100	20	4	0	2	10	35	2	2	0	.200	.286	.300	.586	.100	.283	31	9	.271	65	-4	+0	+0	+2	+3	0.1
TOT	26	MLB	MIL	136	122	25	6	0	3	11	39	2	2	0	.205	.281	.328	.609	.123	.272	29	8	.271	66	-5	+0	+0	+2	+4	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB 10%	MIL	209	184	38	7	1	4	19	63	4	3	1	.207	.295	.321	.615	.114	.284	30	9	.276	70	-7	+0	+0	+4	+6	0.3
2028	28	MLB 20%	MIL	276	243	50	10	1	5	26	82	5	4	1	.206	.296	.317	.612	.111	.284	30	9	.279	72	-9	+0	-1	+5	+8	0.4
2029	29	MLB 33%	MIL	310	273	56	11	1	6	29	92	5	4	1	.205	.293	.319	.612	.114	.284	30	9	.279	72	-10	+0	-1	+6	+9	0.3
2030	30	MLB 43%	MIL	333	293	60	12	1	6	31	99	6	3	0	.205	.294	.314	.608	.109	.283	30	9	.277	70	-11	+1	-2	+6	+9	0.3
2031	31	MLB 52%	MIL	320	282	56	11	1	5	30	97	5	2	0	.199	.287	.298	.585	.099	.281	30	9	.273	67	-12	+0	-3	+6	+9	0.1
2032	32	MLB 64%	MIL	300	264	52	10	1	5	28	92	5	1	0	.197	.286	.299	.585	.102	.280	31	9	.269	64	-12	+0	-4	+5	+8	-0.2
2033	33	MLB 81%	MIL	268	237	46	9	1	4	25	84	4	1	0	.194	.282	.291	.573	.097	.278	31	9	.263	60	-12	+0	-4	+5	+8	-0.4
2034	34	MLB	MIL	224	197	38	7	1	3	21	72	4	0	0	.193	.284	.284	.568	.091	.276	32	9	.257	55	-11	+0	-5	+4	+6	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			3844	3407	664	126	11	54	325	1191	75	26	5	.195	.279	.286	.565	.091	.279	31	8	.257	55	-197	+3	-20	+69	+109	-3.7
/ 162G	—			650	576	112	21	2	9	55	201	13	4	1	.194	.280	.285	.564	.090	.278	31	8	.257	55	-33	+0	-3	+12	+18	-0.6

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2017	17	ROK	DSL Rangers 2	222	186	40	7	1	1	25	49	6	1	0	.215	.327	.280	.607	.065	.279	22	11	.282	74	-7	+0	—	—	+6	-0.0
2018	18	ROK	AZL Rangers	129	119	32	8	0	1	9	26	0	0	1	.269	.320	.361	.682	.092	.337	20	7	.306	92	-1	-0	—	—	+4	0.2
2021	21	A+	Hickory Crawdads	328	301	77	13	0	5	18	78	2	0	0	.256	.299	.349	.648	.093	.324	24	5	.288	79	-8	+0	—	—	+9	0.1
2022	22	AA	Frisco RoughRiders	262	237	54	11	1	5	18	66	5	0	1	.228	.296	.346	.642	.118	.293	25	7	.290	80	-6	-0	—	—	+7	0.1
2022	22	ROK	ACL Rangers	17	12	3	2	0	0	4	3	1	0	0	.250	.471	.417	.887	.167	.333	18	24	.412	173	+1	+0	—	—	+0	0.2
2023	23	AA	Frisco RoughRiders	150	122	24	3	0	2	23	49	4	1	0	.197	.342	.270	.613	.074	.306	33	15	.295	84	-3	+0	—	—	+4	0.2
2023	23	ROK	ACL Rangers	25	17	7	1	1	0	3	1	5	2	0	.412	.600	.588	1.188	.176	.438	4	12	.528	262	+5	+0	—	—	+1	0.6
2024	24	A	Carolina Mudcats	336	262	61	14	0	0	60	67	11	2	0	.233	.396	.286	.683	.053	.308	20	18	.329	110	+4	+0	—	—	+10	1.4
2025	25	A+	Wisconsin Timber Rattlers	22	19	2	0	0	0	2	9	1	0	0	.105	.227	.105	.333	.000	.200	41	9	.179	-5	-3	+0	—	—	+1	-0.2

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
David García (OGILVIE)	26	39	28	44	60	.197/.287/.296	.099	.283	2	2	31%	9%	65	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jan Vázquez 2017 · AA	26	45	38→40	46→45	44	.212/.283/.295	.084	.288	5	10	27%	7%	63	-0.9	.223/.297/.327	.104	.299	10	8	27%	7%	76	+0.1	.219/.300/.323	.104	.295	11	3	28%	8%	73	-0.0
✕Adrian Nieto 2016 · MLB	26	43→47	43→45	43→40	46	.211/.284/.324	.113	.294	11	4	30%	9%	69	-0.4	.197/.259/.283	.086	.291	7	4	32%	7%	48	-1.9	.181/.229/.243	.062	.269	5	1	33%	5%	21	-1.1
✕Micah Gibbs 2014 · A	26	41	38→30	45	47	.191/.279/.265	.074	.291	5	5	33%	10%	53	-1.5	.199/.261/.291	.092	.284	7	7	30%	7%	51	-1.7	.191/.244/.282	.091	.255	7	5	27%	7%	40	-0.6
✕Cole Tucker 2022 · MLB	26	43→48	43→45	50→55	46	.212/.276/.327	.115	.274	11	12	26%	8%	67	-0.5	.205/.272/.298	.093	.294	8	12	30%	8%	58	-1.2	.195/.268/.269	.074	.290	5	11	32%	9%	47	-0.9
✕Jose Herrera 2022 · AAA	25	43	43→40	49→40	50	.209/.291/.322	.112	.282	11	6	28%	10%	72	-0.2	.217/.286/.303	.086	.285	8	5	25%	9%	65	-0.7	.212/.283/.274	.062	.272	5	1	22%	9%	53	-0.6
✕Michael Papierski 2023 · MLB	27	41	42→40	38→40	50	.200/.286/.300	.100	.257	10	4	25%	9%	66	-0.6	.211/.290/.320	.109	.273	11	4	25%	9%	72	-0.2	.206/.291/.312	.106	.268	11	1	26%	10%	69	-0.2
✕Michael De La Cruz 2019 · AAA	26	44→45	39→40	46→50	43	.210/.264/.303	.093	.286	6	7	28%	7%	55	-1.4	.223/.291/.346	.123	.298	11	6	27%	8%	78	+0.2	.212/.295/.358	.146	.266	16	2	26%	10%	80	+0.1
✕Anderson Machado 2007 · MLB	26	41→43	40	42→45	45	.200/.267/.295	.095	.281	7	7	30%	8%	55	-1.4	.197/.272/.290	.093	.269	7	11	27%	9%	56	-1.3	.188/.267/.271	.084	.264	4	8	28%	10%	47	-0.9
✕Cullen Large 2022 · AAA	26	43→44	40	42→45	42	.205/.269/.304	.100	.296	7	6	32%	7%	58	-1.2	.214/.276/.320	.106	.304	9	8	31%	7%	65	-0.7	.210/.274/.313	.103	.307	8	8	32%	7%	59	-0.9
✕Riley Unroe 2022 · AAA	26	44→47	43→45	47→55	43	.217/.274/.330	.113	.285	11	11	27%	6%	66	-0.6	.218/.293/.338	.120	.290	12	21	27%	9%	77	+0.1	.221/.306/.342	.121	.297	13	26	28%	10%	80	+0.2
✕Adam Ricks 2009 · AAA	26	44→45	38→30	44→30	49	.209/.276/.286	.077	.264	5	6	22%	8%	56	-1.3	.210/.279/.292	.082	.269	5	7	22%	8%	59	-1.1	.227/.295/.298	.071	.289	4	0	21%	9%	66	-0.2
✕Mitch Ghelfi 2019 · AA	26	47→54	39→40	49→50	40	.227/.271/.316	.089	.295	6	8	25%	4%	61	-1.0	.199/.253/.277	.078	.300	6	11	33%	6%	43	-2.2	.163/.222/.198	.036	.270	2	11	38%	7%	9	-1.6
✕Trent Woodward 2017 · AA	25	46	41→45	43→30	46	.220/.289/.318	.097	.306	8	5	29%	8%	70	-0.3	.219/.288/.323	.104	.312	10	5	31%	8%	71	-0.3	.201/.280/.294	.092	.285	11	0	31%	8%	57	-0.4
✕Bob Stumpo 2013 · AA	26	44	38→30	43→30	45	.209/.264/.285	.077	.276	5	5	25%	7%	50	-1.7	.213/.275/.300	.087	.277	7	6	24%	7%	59	-1.1	.181/.255/.237	.057	.235	7	0	25%	8%	33	-0.6
✕Drew Stankiewicz 2019 · AA	26	44→52	41→45	46→45	45	.212/.275/.310	.099	.286	8	5	28%	8%	63	-0.9	.209/.276/.306	.097	.292	7	8	29%	8%	62	-0.9	.186/.247/.319	.133	.260	14	7	33%	8%	50	-0.8
✕Josh Tobias 2019 · AA	26	49→51	41→40	44→45	39	.235/.279/.327	.092	.303	8	7	25%	4%	68	-0.5	.237/.290/.340	.103	.319	9	7	27%	6%	76	+0.1	.257/.319/.371	.115	.345	8	4	26%	6%	92	+0.5
✕Marcus Littlewood 2018 · AAA	26	43	44→45	46→45	42	.213/.263/.328	.114	.279	12	5	28%	6%	61	-1.0	.201/.259/.309	.108	.274	12	6	30%	7%	55	-1.4	.157/.233/.246	.089	.209	12	2	30%	9%	27	-1.5
✕Ripken Reyes 2023 · AA	26	47→46	37→40	49→50	50	.217/.319/.292	.075	.271	4	11	20%	8%	79	+0.3	.212/.317/.295	.083	.255	6	16	18%	7%	79	+0.3	.202/.309/.284	.082	.241	5	16	17%	7%	69	-0.3
✕Jack Dunn 2023 · AAA	26	49→48	38→40	46→55	47	.228/.296/.304	.075	.304	5	12	25%	8%	69	-0.4	.220/.310/.305	.085	.284	8	21	23%	10%	76	+0.1	.211/.316/.295	.084	.262	9	26	21%	11%	75	-0.0
✕Matthew Tucker 2009 · A	26	46	41→40	45	44	.223/.283/.332	.109	.293	8	8	26%	7%	71	-0.3	.228/.282/.332	.104	.310	9	6	28%	6%	70	-0.3	.257/.310/.390	.133	.351	13	2	29%	6%	95	+0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)