David Fletcher — OGILVIE

David Fletcher2B Gwinnett Stripers

Age 32 R/R 5'9" / 185 lbs AAA BB -5% Svc 8.000 · Ctrl thru 2026

wRC+†62

AVG/OBP/SLG.235 / .279 / .307

PA330

HR3

SB6

K%14

BB%5

MLB%10%

Scouting · now → future

HIT

40→40

PWR

35→35

SPD

45→45

EYE

38↘20

trajectory · 10 yrs

-0.5peak

2026

Contract

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

Status FA

MLB Debut 2018

Service 8.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$-0.8M	-$2M

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
2015	21	ROK	2 teams	315	289	72	12	4	1	19	29	3	17	5	.249	.302	.329	.631	.080	.272	9	6	.273	67	-12	+1	+0	+1	+9	-0.0
2016	22	A+	3 teams	503	474	122	17	1	4	20	85	1	18	5	.257	.289	.323	.612	.065	.305	17	4	.263	59	-23	+2	+0	+2	+14	-0.6
2017	23	AA	2 teams	489	457	106	15	2	3	18	71	7	20	6	.232	.272	.293	.565	.061	.268	15	4	.247	47	-29	+2	+0	+2	+14	-1.2
2018	24	MLB	2 teams	582	544	155	38	6	6	25	61	6	10	2	.285	.323	.410	.733	.125	.310	10	4	.317	100	+0	+1	+7	+2	+16	2.7
2019	25	MLB	Los Angeles Angels	653	596	175	29	4	6	55	64	0	8	3	.294	.353	.386	.739	.092	.321	10	8	.323	106	+4	+0	+10	+2	+19	3.6
2020	26	MLB	Los Angeles Angels	230	207	68	13	0	3	20	25	0	2	1	.329	.388	.435	.822	.106	.359	11	9	.353	128	+7	+0	+0	+2	+7	1.7
2021	27	MLB	Los Angeles Angels	665	626	160	29	3	2	31	60	1	15	3	.256	.292	.321	.613	.065	.280	9	5	.269	64	-27	+2	+7	+2	+19	0.3
2022	28	MLB	2 teams	279	266	63	10	1	2	8	25	3	2	0	.237	.267	.305	.572	.068	.255	9	3	.247	47	-17	+0	+7	+1	+8	-0.1
2023	29	AAA	2 teams	477	445	123	14	3	5	26	40	3	6	2	.276	.321	.355	.676	.079	.294	8	5	.299	87	-7	+0	-0	+5	+14	1.2
2024	30	AAA	2 teams	316	293	62	5	1	0	18	50	1	15	1	.212	.260	.235	.495	.024	.251	16	6	.226	31	-25	+3	+0	+1	+9	-1.2
2025	31	AAA	2 teams	280	266	43	7	0	3	9	50	2	4	1	.162	.195	.222	.417	.060	.186	18	3	.183	-1	-32	+0	+0	+1	+8	-2.3
▸ 2026 Season
2026	32	MLB	ATL	330	308	72	10	1	3	17	47	2	6	2	.234	.278	.302	.580	.068	.268	14	5	.267	62	-14	+0	+1	+1	+9	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	33	MLB 20%	ATL	300	279	66	9	1	3	16	45	2	4	1	.237	.283	.308	.591	.072	.267	15	5	.261	58	-14	+0	-3	+1	+8	-0.8
2028	34	MLB 33%	ATL	257	241	55	7	1	2	13	41	1	3	1	.228	.271	.290	.561	.062	.265	16	5	.255	53	-14	+0	-4	+1	+7	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			5676	5291	1342	215	28	43	295	693	32	130	33	.254	.297	.329	.626	.076	.284	12	5	.275	69	-202	+13	+25	+25	+161	2.3
/ 162G	—			650	606	154	25	3	5	34	79	4	15	4	.254	.299	.330	.629	.076	.284	12	5	.275	69	-23	+1	+3	+3	+18	0.3

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
2015	21	A	Burlington Bees	135	120	34	4	1	1	12	13	2	6	1	.283	.358	.358	.717	.075	.311	10	9	.326	108	+1	+1	—	—	+4	0.6
2015	21	ROK	Orem Owlz	180	160	53	12	4	0	16	9	1	11	4	.331	.395	.456	.852	.125	.346	5	9	.374	144	+9	+1	—	—	+5	1.5
2016	22	AA	Arkansas Travelers	83	80	24	6	0	0	3	13	0	1	0	.300	.325	.375	.700	.075	.358	16	4	.314	99	-0	+0	—	—	+2	0.2
2016	22	A+	Inland Empire 66ers	355	324	89	12	1	3	22	43	1	15	3	.275	.323	.346	.668	.071	.307	12	6	.297	85	-6	+2	—	—	+10	0.6
2016	22	INTL	Scottsdale Scorpions	65	60	15	2	1	1	5	4	0	2	2	.250	.308	.367	.674	.117	.255	6	8	.303	90	-1	-0	—	—	+2	0.1
2017	23	AAA	Salt Lake Bees	217	205	52	6	1	2	6	25	3	8	1	.254	.285	.322	.607	.068	.281	12	3	.271	66	-8	+1	—	—	+6	-0.1
2017	23	AA	Mobile BayBears	272	243	67	14	1	1	21	30	4	12	5	.276	.343	.354	.697	.078	.308	11	8	.314	98	-0	+0	—	—	+8	0.8
2018	24	MLB	Los Angeles Angels	307	284	78	18	2	1	15	34	3	3	0	.275	.318	.363	.681	.088	.307	11	5	.302	89	-4	+1	+7	+2	+9	1.5
2018	24	AAA	Salt Lake Bees	275	254	89	25	5	6	16	21	3	7	2	.350	.396	.559	.955	.209	.364	8	6	.415	175	+23	+1	—	—	+8	3.2
2019	25	MLB	Los Angeles Angels	653	596	173	30	4	6	55	64	0	8	3	.290	.350	.384	.734	.094	.317	10	8	.331	112	+9	+0	+10	+2	+19	4.1
2020	26	MLB	Los Angeles Angels	230	207	66	13	0	3	20	25	0	2	1	.319	.379	.425	.804	.106	.348	11	9	.357	131	+8	+0	+0	+2	+7	1.8
2021	27	MLB	Los Angeles Angels	665	626	164	27	3	2	31	60	1	15	3	.262	.298	.324	.622	.062	.287	9	5	.279	72	-21	+2	+7	+2	+19	0.9
2022	28	MLB	Los Angeles Angels	228	216	55	9	1	2	7	16	3	1	0	.255	.288	.333	.621	.079	.268	7	3	.278	71	-8	+0	+7	+1	+6	0.7
2022	28	AAA	Salt Lake Bees	51	49	10	1	0	0	2	7	0	1	0	.204	.235	.224	.460	.020	.238	14	4	.212	21	-5	+0	—	—	+1	-0.3
2023	29	MLB	Los Angeles Angels	97	89	22	1	0	2	7	9	0	0	0	.247	.302	.326	.628	.079	.256	9	7	.284	75	-3	+0	-0	+5	+3	0.5
2023	29	AAA	Salt Lake Bees	380	348	115	16	3	4	27	24	3	6	2	.330	.384	.428	.812	.098	.345	6	7	.363	136	+15	+0	—	—	+11	2.7
2024	30	AAA	Gwinnett Stripers	160	142	35	4	0	0	16	17	0	5	0	.246	.323	.275	.597	.028	.276	11	10	.277	70	-5	+1	—	—	+5	0.0
2024	30	AA	Mississippi Braves	156	142	31	2	1	0	11	23	1	10	1	.218	.279	.246	.526	.028	.256	15	7	.243	44	-10	+2	—	—	+4	-0.4
2025	31	AAA	Gwinnett Stripers	217	205	37	9	0	3	7	30	2	3	0	.180	.215	.268	.483	.088	.195	14	3	.216	23	-19	+1	—	—	+6	-1.2
2025	31	AA	Columbus Clingstones	63	55	11	1	0	0	8	10	0	1	1	.200	.302	.218	.520	.018	.244	16	13	.253	52	-3	-0	—	—	+2	-0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			2180	2018	558	98	10	16	135	208	7	29	7	.277	.324	.359	.683	.082	.301	10	6	.306	92	-19	+3	+31	+15	+62	9.4

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 Fletcher (OGILVIE)	32	40	35	45	20	.235/.279/.307	.072	.268	3	6	14%	5%	62	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ed Rogers 2011 · AAA	32	48→50	39→40	49→50	41	.230/.269/.317	.087	.273	7	15	19%	4%	60	-1.0	.228/.276/.329	.101	.276	9	12	20%	5%	67	-0.5	.263/.312/.337	.074	.311	12	12	19%	4%	83	+0.2
✕Jonathan Diaz 2017 · MLB	32	43→48	36→30	46→50	50	.203/.275/.265	.062	.251	3	8	20%	8%	50	-1.7	.211/.295/.293	.082	.267	7	8	22%	9%	67	-0.5	.192/.309/.262	.070	.245	6	4	22%	11%	66	-0.2
✕Tyler Ladendorf 2019 · MLB	31	43→49	38→40	45→50	45	.205/.259/.282	.078	.254	6	8	22%	6%	48	-1.9	.209/.263/.314	.105	.272	10	8	26%	6%	58	-1.2	.192/.237/.331	.139	.245	18	2	30%	4%	50	-0.6
✕Alberto Rosario 2019 · MLB	32	47	36→30	44→50	41	.223/.258/.285	.062	.274	5	6	20%	4%	46	-2.0	.217/.263/.296	.079	.276	7	7	23%	5%	53	-1.5	.196/.249/.235	.039	.255	3	0	23%	6%	30	-0.8
✕Pete Kozma 2019 · MLB	31	39→46	37→40	47→50	41	.189/.233/.265	.076	.239	5	10	23%	5%	32	-3.0	.206/.258/.313	.107	.251	9	7	21%	6%	55	-1.4	.197/.250/.291	.094	.245	8	5	22%	6%	44	-1.5
✕J.J. Furmaniak 2011 · AAA	32	46→50	38→45	47→50	45	.219/.271/.301	.082	.272	5	10	21%	6%	57	-1.2	.214/.261/.302	.088	.269	6	12	22%	5%	53	-1.5	.201/.241/.280	.079	.251	5	11	22%	5%	37	-1.9
✕Cosme Valle 2011 · AAA	32	49	38→40	44→30	44	.231/.261/.313	.082	.257	5	5	13%	4%	55	-1.4	.198/.233/.300	.102	.234	11	8	20%	4%	41	-2.3	.120/.141/.217	.097	.129	16	4	25%	2%	-22	-1.3
✕Juan Graterol 2021 · MLB	32	49	38→40	44→30	45	.232/.267/.307	.075	.253	6	5	11%	4%	56	-1.3	.230/.277/.318	.088	.258	8	7	14%	4%	65	-0.7	.234/.281/.299	.066	.260	6	5	12%	3%	58	-0.3
✕J.C. Boscan 2012 · AAA	32	44	37→40	41→30	43	.209/.259/.282	.073	.269	5	4	24%	6%	47	-1.9	.189/.239/.262	.073	.253	5	5	26%	5%	33	-2.9	.177/.223/.214	.037	.233	2	2	23%	5%	11	-1.3
✕Omir Santos 2013 · MLB	32	44	39→45	43→30	37	.216/.238/.301	.085	.269	7	4	23%	3%	43	-2.2	.222/.256/.320	.098	.291	8	5	25%	4%	56	-1.3	.222/.253/.312	.090	.291	6	0	25%	3%	50	-0.7
✕Sean Kazmar Jr. 2017 · AAA	32	49→52	40→45	42→45	43	.233/.264/.328	.095	.264	6	5	15%	4%	60	-1.0	.231/.262/.329	.098	.258	10	6	15%	3%	61	-1.0	.227/.264/.328	.101	.250	11	4	14%	3%	59	-0.7
✕Rocky Gale 2019 · AAA	31	48→46	38→40	43→30	42	.230/.269/.309	.079	.280	6	3	20%	4%	58	-1.2	.226/.258/.309	.083	.288	7	6	23%	4%	53	-1.5	.225/.254/.285	.060	.294	5	3	24%	3%	42	-0.7
✕Julius Matos 2006 · MLB	31	47	41→40	42→40	41	.227/.259/.324	.097	.259	9	7	17%	3%	58	-1.2	.228/.267/.314	.086	.284	8	7	22%	4%	59	-1.1	.237/.277/.244	.007	.330	0	0	27%	5%	43	-0.4
✕Gerson Manzanillo 2017 · AAA	31	50	38→30	45→50	45	.238/.280/.307	.069	.274	6	12	16%	5%	63	-0.9	.247/.281/.325	.078	.291	5	14	16%	4%	67	-0.5	.255/.280/.319	.064	.303	3	13	17%	2%	60	-0.5
✕Jhonatan Solano 2017 · MLB	31	44	40→45	47→40	44	.210/.249/.294	.084	.237	8	4	16%	4%	46	-2.0	.217/.260/.308	.091	.245	8	6	15%	4%	55	-1.4	.217/.256/.296	.079	.234	7	0	11%	3%	47	-0.5
✕Nicolas Garcia 2012 · AAA	32	47→56	39→40	47→45	45	.220/.257/.306	.086	.245	6	8	14%	4%	53	-1.5	.234/.271/.308	.074	.285	5	9	19%	4%	59	-1.1	.243/.276/.287	.045	.299	2	6	19%	3%	51	-0.5
✕Edwin Maysonet 2013 · MLB	31	45→54	38→40	46→50	42	.217/.264/.298	.081	.269	5	5	21%	5%	53	-1.5	.208/.252/.317	.109	.257	10	7	23%	4%	53	-1.5	.183/.220/.292	.109	.224	10	2	23%	3%	35	-1.1
✕Paul Phillips 2009 · MLB	32	46→47	39→40	46→30	45	.220/.254/.302	.082	.245	7	3	14%	4%	50	-1.8	.221/.262/.299	.078	.253	6	4	15%	5%	53	-1.5	.210/.250/.268	.058	.238	3	1	13%	5%	37	-0.9
✕Alberto Castillo 2002 · MLB	32	45	39→30	44→30	50	.214/.282/.298	.083	.257	7	6	19%	8%	62	-0.9	.220/.283/.331	.111	.265	10	7	20%	8%	71	-0.3	.235/.311/.307	.073	.284	2	2	17%	10%	74	-0.0
✕Michel Hernandez 2011 · MLB	32	49	39→40	44→40	48	.232/.278/.311	.079	.263	7	6	15%	6%	63	-0.9	.229/.289/.319	.090	.264	7	6	15%	7%	70	-0.3	.222/.288/.305	.083	.257	4	1	14%	7%	65	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)