Taylor Trammell — OGILVIE

Taylor TrammellLF Sugar Land Space Cowboys

INJURED · Injured 10-Day (D10)

Age 28 L/L 6'1" / 220 lbs AAA H +4%HR -3% Svc 2.837S2 · Ctrl thru 2029 peak 1.1 · 2027

wRC+†122

AVG/OBP/SLG.193 / .291 / .366

PA113

HR4

SB6

K%31

BB%11

MLB%45%

Scouting · now → future

HIT

31→31

PWR

49→49

SPD

50→50

EYE

60↗65

trajectory · 10 yrs

0.5peak

2027

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2021

Service 2.837 yrs.days

Team Control Through 2029

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.9M	+0.7	$3M	+$2M
2027	Arb-2	$2M	+1.1	$9M	+$7M
2028	Arb-3	$4M	+1.0	$8M	+$5M
2029	Arb-4	$4M	+0.8	$3M	+$0.0M (cut)
Totals		$10M		$24M	+$14M

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
2016	18	ROK	Billings Mustangs	254	237	51	6	4	1	14	82	3	24	7	.215	.268	.287	.555	.072	.325	32	6	.249	49	-15	+2	+0	+1	+7	-0.5
2017	19	A	Dayton Dragons	571	516	113	19	6	9	47	159	1	41	12	.219	.285	.331	.617	.112	.293	28	8	.272	66	-22	+3	+0	+2	+16	-0.0
2018	20	A+	2 teams	553	494	106	18	3	7	53	172	5	31	11	.215	.297	.306	.603	.091	.313	31	10	.273	67	-21	+2	+0	+2	+16	-0.1
2019	21	AA	Amarillo Sod Poodles	514	458	78	8	3	6	45	169	6	20	8	.170	.253	.240	.494	.070	.250	33	9	.226	31	-40	+1	+0	+2	+15	-2.3
2021	23	AAA	2 teams	501	444	88	19	1	18	43	171	8	10	5	.198	.281	.367	.648	.169	.270	34	9	.283	75	-14	+0	+1	+2	+14	0.3
2022	24	MLB	2 teams	215	192	46	15	0	7	21	55	0	10	2	.240	.315	.427	.742	.187	.298	26	10	.319	102	+1	+1	+0	-2	+6	0.6
2023	25	AAA	2 teams	447	383	75	16	0	18	52	154	5	17	5	.196	.300	.379	.679	.183	.263	34	12	.299	87	-7	+1	-1	-5	+13	0.2
2024	26	AAA	Scranton/Wilkes-Barre RailRiders	407	356	73	15	2	15	43	132	6	20	5	.205	.301	.385	.686	.180	.275	32	11	.300	88	-6	+2	-1	-4	+12	0.3
2025	27	MLB	3 teams	201	171	37	13	0	7	24	55	1	5	2	.216	.316	.415	.732	.199	.263	27	12	.316	100	-0	+0	-0	+1	+6	0.6
▸ 2026 Season (actual · ROS · total)
2026	28	AAA	2 teams	78	63	17	3	2	2	12	23	2	5	2	.270	.403	.476	.879	.206	.395	29	15	.359	133	+3	+0	-0	+0	+2	0.5
ROS	28	MLB	HOU	35	31	5	1	0	1	4	11	0	1	0	.161	.257	.290	.547	.129	.271	31	11	.311	97	-0	+0	+0	+0	+1	0.1
TOT	28	MLB	HOU	113	94	22	4	2	3	16	34	2	6	2	.234	.357	.415	.772	.181	.333	30	14	.344	122	+3	+0	-0	+0	+3	0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	29	MLB 54%	HOU	305	260	53	11	2	10	38	81	4	11	3	.204	.315	.377	.691	.173	.250	27	12	.314	98	-1	+1	-0	+1	+9	1.0
2028	30	MLB 65%	HOU	331	283	57	12	2	11	41	89	4	11	3	.201	.311	.375	.686	.173	.248	27	12	.311	96	-2	+1	-1	+1	+9	0.9
2029	31	MLB 74%	HOU	316	270	54	12	2	10	39	86	4	9	2	.200	.310	.370	.680	.170	.247	27	12	.307	93	-3	+1	-2	+1	+9	0.7
2030	32	MLB 82%	HOU	297	254	50	11	2	9	37	82	4	7	2	.197	.308	.362	.671	.165	.245	28	12	.302	89	-4	+1	-2	+1	+8	0.4
2031	33	MLB	HOU	267	229	43	9	1	8	33	76	3	6	1	.188	.298	.341	.639	.153	.243	28	12	.296	85	-5	+1	-3	+1	+8	0.2
2032	34	MLB	HOU	224	192	37	8	1	7	27	65	3	4	1	.193	.302	.354	.656	.161	.240	29	12	.290	80	-5	+0	-4	+1	+6	-0.2
▸ Career Totals (MLE all levels + projections)
Career	—			5438	4770	966	193	29	144	561	1639	57	227	69	.203	.294	.346	.640	.143	.272	30	10	.286	77	-141	+18	-13	+4	+154	2.3
/ 162G	—			650	570	115	23	3	17	67	196	7	27	8	.202	.293	.342	.636	.140	.271	30	10	.286	77	-17	+2	-1	+0	+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
2016	18	ROK	Billings Mustangs	254	228	69	9	6	2	23	57	3	24	7	.303	.374	.421	.795	.118	.396	22	9	.357	131	+9	+2	—	—	+7	1.9
2017	19	A	Dayton Dragons	571	491	138	24	10	13	71	123	1	41	12	.281	.372	.450	.822	.169	.345	22	12	.362	135	+23	+3	—	—	+16	4.3
2018	20	A+	Daytona Tortugas	461	397	110	19	4	8	58	105	5	25	10	.277	.376	.406	.782	.128	.358	23	13	.354	129	+15	+1	—	—	+13	3.0
2018	20	INTL	Scottsdale Scorpions	92	84	25	4	2	0	8	20	0	6	1	.298	.359	.393	.752	.095	.391	22	9	.338	117	+2	+1	—	—	+3	0.5
2019	21	AA	Amarillo Sod Poodles	514	436	102	12	4	10	67	122	6	20	8	.234	.344	.349	.692	.115	.298	24	13	.316	100	+0	+1	—	—	+15	1.6
2021	23	MLB	Seattle Mariners	178	156	25	7	0	8	17	75	3	2	3	.160	.256	.359	.615	.199	.233	42	10	.274	68	-6	-1	+1	+2	+5	0.1
2021	23	AAA	Tacoma Rainiers	323	274	72	15	1	12	40	74	5	8	2	.263	.367	.456	.823	.193	.312	23	12	.363	136	+13	+1	—	—	+9	2.4
2022	24	MLB	Seattle Mariners	117	102	20	9	0	4	13	33	0	2	1	.196	.287	.402	.689	.206	.242	28	11	.302	89	-1	+0	+0	-2	+3	-0.0
2022	24	AAA	Tacoma Rainiers	98	87	29	6	0	5	11	17	0	8	1	.333	.408	.575	.983	.241	.369	17	11	.429	187	+10	+1	—	—	+3	1.4
2023	25	MLB	Seattle Mariners	56	46	6	0	0	3	9	22	1	0	1	.130	.286	.326	.612	.196	.143	39	16	.285	76	-1	-0	-1	-5	+2	-0.6
2023	25	AAA	Tacoma Rainiers	391	317	85	20	0	21	63	104	4	17	4	.268	.396	.530	.926	.262	.323	27	16	.399	164	+28	+2	—	—	+11	4.2
2024	26	AAA	Scranton/Wilkes-Barre RailRiders	407	336	86	20	2	18	63	109	6	20	5	.256	.383	.488	.871	.232	.322	27	15	.384	152	+24	+2	—	—	+12	3.8
2025	27	MLB	Houston Astros	135	117	23	7	0	3	17	41	0	3	2	.197	.299	.333	.632	.137	.270	30	13	.288	78	-3	-0	-0	+1	+4	0.1
2025	27	AAA	Sugar Land Space Cowboys	47	36	9	4	0	3	7	6	1	0	0	.250	.386	.611	.997	.361	.200	13	15	.400	164	+3	+0	—	—	+1	0.5
2025	27	ROK	FCL Astros	19	15	6	2	0	1	3	4	0	2	0	.400	.500	.733	1.233	.333	.455	21	16	.498	239	+3	+0	—	—	+1	0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			486	421	74	23	0	18	56	171	4	7	7	.176	.279	.359	.637	.183	.239	35	12	.286	77	-13	-1	+0	-5	+14	-0.5

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
Taylor Trammell (OGILVIE)	28	31	49	50	65	.205/.301/.374	.169	.263	4	4	29%	11%	92	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jake Fraley 2023 · MLB	28	47→46	53→55	51→55	56	.241/.340/.412	.171	.300	22	16	26%	12%	117	+2.9	.252/.329/.404	.152	.299	17	23	21%	10%	109	+2.4	.253/.327/.391	.138	.299	15	27	19%	9%	101	+1.0
✕Sean Bouchard 2023 · MLB	27	44	54→55	52→50	48	.228/.308/.419	.191	.299	21	13	30%	10%	105	+2.1	.219/.307/.387	.168	.303	19	15	32%	10%	96	+1.5	.188/.286/.329	.140	.277	15	16	35%	11%	69	-0.2
✕Brian O'Grady 2021 · MLB	29	43→39	57→60	52→50	41	.228/.284/.424	.197	.295	25	16	32%	6%	97	+1.5	.209/.277/.371	.162	.292	18	14	33%	8%	79	+0.3	.183/.260/.343	.160	.253	17	13	34%	8%	63	-0.5
✕Josh VanMeter 2023 · MLB	28	42→49	49→55	49→50	53	.212/.299/.365	.153	.268	16	9	26%	11%	87	+0.8	.202/.305/.333	.131	.269	14	9	28%	12%	82	+0.5	.166/.294/.274	.108	.225	12	8	29%	14%	62	-0.3
✕Jabari Blash 2017 · MLB	28	38→40	57→60	46→50	45	.206/.298/.400	.194	.283	25	8	35%	10%	97	+1.5	.214/.315/.411	.197	.316	25	7	37%	11%	107	+2.2	.205/.314/.415	.209	.300	28	7	38%	12%	102	+1.4
✕Kirk Nieuwenhuis 2016 · MLB	28	43→50	53→55	49→50	43	.221/.285/.400	.179	.292	19	10	31%	8%	90	+1.0	.210/.298/.362	.152	.310	16	11	34%	11%	86	+0.8	.189/.289/.313	.124	.295	12	10	36%	12%	68	-0.3
✕Skye Bolt 2022 · MLB	28	45→39	49→50	51→50	44	.226/.291/.375	.149	.307	16	13	31%	8%	86	+0.8	.233/.297/.366	.133	.311	15	12	28%	7%	86	+0.8	.223/.292/.331	.108	.306	12	9	29%	8%	73	-0.0
✕Yoshi Tsutsugo 2021 · MLB	29	45→41	56→50	48→30	56	.237/.333/.432	.195	.288	25	6	26%	12%	119	+3.1	.222/.310/.384	.162	.283	20	3	27%	11%	97	+1.5	.211/.305/.359	.147	.276	18	1	29%	11%	85	+0.4
✕Alex Call 2023 · MLB	28	47→48	51→50	49→50	53	.239/.324/.402	.163	.270	19	14	20%	10%	108	+2.3	.227/.322/.365	.138	.265	15	15	19%	11%	97	+1.5	.223/.324/.347	.125	.262	12	14	19%	12%	92	+0.8
✕Drew Robinson 2018 · MLB	26	39→41	52→55	49→50	46	.205/.281/.375	.170	.279	20	13	33%	9%	82	+0.5	.216/.291/.369	.153	.343	16	13	38%	9%	84	+0.6	.187/.269/.319	.133	.348	14	13	46%	10%	60	-0.4
✕Isan Díaz 2023 · MLB	27	40	52→55	45	47	.212/.291/.378	.166	.276	21	8	31%	9%	88	+0.9	.211/.282/.386	.175	.275	24	9	32%	8%	85	+0.7	.177/.251/.338	.161	.207	27	6	30%	8%	58	-0.4
✕David Bote 2021 · MLB	28	45→48	54→55	47→45	50	.232/.318/.410	.178	.292	22	9	28%	10%	107	+2.2	.218/.294/.367	.149	.276	17	7	26%	8%	85	+0.7	.227/.294/.384	.157	.293	17	8	27%	7%	87	+0.4
✕Dylan Moore 2022 · MLB	29	40→48	53→50	54→65	49	.213/.304/.387	.174	.271	21	28	29%	10%	95	+1.4	.217/.326/.388	.171	.291	18	33	30%	11%	105	+2.1	.207/.329/.377	.170	.285	16	41	30%	12%	100	+0.9
●Ryan Schimpf 2015 · AAA	27	35→39	54→60	45	45	.196/.273/.377	.181	.253	22	5	32%	8%	80	+0.4	.202/.284/.408	.206	.248	27	3	30%	9%	93	+1.3	.188/.282/.411	.223	.223	31	1	32%	10%	88	+0.7
✕DJ Stewart 2021 · MLB	27	42→48	54→60	44→50	50	.224/.307/.403	.178	.267	22	9	25%	9%	101	+1.8	.224/.325/.409	.185	.279	24	5	28%	11%	110	+2.4	.212/.318/.409	.197	.253	28	2	28%	11%	104	+0.9
✕Jose Rojas 2021 · AAA	28	43→48	54→65	47→50	42	.229/.279/.413	.184	.285	22	8	28%	6%	91	+1.1	.213/.266/.382	.169	.260	20	8	26%	7%	78	+0.2	.209/.275/.433	.224	.237	30	10	27%	8%	92	+0.8
✕Stuart Fairchild 2023 · MLB	27	44→43	53→50	50→55	42	.227/.302/.402	.174	.300	21	13	30%	7%	98	+1.6	.225/.303/.374	.149	.296	16	19	28%	8%	92	+1.2	.217/.302/.357	.140	.282	15	25	27%	8%	83	+0.3
✕Jason Vosler 2022 · MLB	28	42→44	53→55	48→40	47	.225/.294/.399	.174	.267	22	4	25%	8%	94	+1.3	.213/.276/.381	.168	.268	22	6	29%	7%	82	+0.5	.205/.266/.374	.169	.260	23	4	30%	7%	72	-0.2
✕Kyle Lewis 2023 · MLB	28	44→46	55	49→40	51	.229/.315/.401	.171	.291	25	7	29%	11%	103	+1.9	.247/.316/.423	.176	.320	23	4	29%	9%	109	+2.4	.268/.335/.445	.177	.348	24	0	28%	8%	118	+1.7
✕Zach McKinstry 2023 · MLB	28	46→50	49→55	50→55	47	.232/.296/.383	.151	.283	15	10	24%	8%	90	+1.0	.233/.300/.368	.135	.288	12	18	22%	8%	88	+0.9	.232/.305/.369	.137	.286	11	23	22%	8%	88	+0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)