Brenton Doyle — OGILVIE

Brenton DoyleCF Colorado Rockies

Age 28 R/R 6'3" / 223 lbs MLB H +10%K -4% Svc 2.936S2 · Ctrl thru 2029 peak 1.7 · 2027

wRC+†vL 10982vR 79

AVG/OBP/SLG.235 / .286 / .395

PA538

HR18

SB27

K%26

BB%6

MLB%100%

Scouting · now → future

HIT

50→50

PWR

55→55

SPD

60→60

EYE

45→45

trajectory · 10 yrs

1.4peak

2026

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2023

Service 2.936 yrs.days

Team Control Through 2029

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$3M	+1.4	$11M	+$8M
2027	Arb-2	$4M	+1.7	$14M	+$10M
2028	Arb-3	$5M	+1.5	$13M	+$7M
2029	Arb-4	$6M	+1.2	$10M	+$4M
Totals		$19M		$48M	+$30M

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
2021	23	A+	Spokane Indians	424	400	85	12	2	10	20	188	3	21	6	.212	.255	.328	.583	.115	.371	44	5	.249	49	-25	+2	+0	+2	+12	-0.9
2022	24	AA	2 teams	548	515	107	17	3	21	20	218	6	23	3	.208	.246	.375	.621	.167	.305	40	4	.263	59	-25	+3	+0	+2	+16	-0.4
2023	25	MLB	2 teams	488	450	90	16	5	13	28	177	4	23	5	.200	.253	.344	.598	.144	.293	36	6	.258	56	-24	+3	+14	+2	+14	0.8
2024	26	MLB	Colorado Rockies	603	542	134	25	3	22	46	153	3	30	5	.247	.310	.426	.736	.179	.299	25	8	.315	99	-0	+4	+11	+2	+17	3.5
2025	27	MLB	Colorado Rockies	538	502	108	21	2	15	30	138	0	18	2	.215	.259	.355	.614	.139	.263	26	6	.269	64	-22	+3	+7	+2	+15	0.5
▸ 2026 Season (actual · ROS · total)
2026	28	MLB	Colorado Rockies	76	70	15	2	0	1	6	26	0	5	2	.214	.276	.286	.562	.071	.326	34	8	.256	54	-4	+0	-0	+0	+2	-0.2
ROS	28	MLB	COL	462	427	100	17	2	14	31	126	1	22	5	.234	.288	.382	.669	.148	.296	27	7	.298	86	-7	+2	+5	+2	+13	1.6
TOT	28	MLB	COL	538	497	115	19	2	15	37	152	1	27	7	.231	.286	.368	.654	.137	.301	28	7	.292	82	-11	+3	+5	+2	+15	1.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	29	MLB	COL	526	485	113	19	2	16	35	116	1	24	5	.233	.286	.379	.665	.146	.272	22	7	.296	85	-9	+3	+5	+2	+15	1.5
2028	30	MLB	COL	514	474	108	18	2	15	34	115	1	23	5	.228	.281	.369	.650	.141	.271	22	7	.293	82	-10	+3	+4	+2	+15	1.3
2029	31	MLB	COL	499	462	105	18	2	14	33	114	1	20	4	.227	.280	.366	.646	.139	.269	23	7	.289	79	-12	+2	+3	+2	+14	1.0
2030	32	MLB	COL	480	444	100	17	2	13	32	112	1	17	3	.225	.279	.360	.639	.135	.268	23	7	.284	76	-13	+2	+2	+2	+14	0.6
2031	33	MLB	COL	450	416	92	15	2	12	30	108	1	14	2	.221	.275	.353	.629	.132	.266	24	7	.279	71	-15	+2	+1	+2	+13	0.3
2032	34	MLB	COL	404	374	81	13	2	10	26	101	1	12	1	.217	.269	.342	.612	.126	.264	25	6	.272	66	-15	+2	-0	+1	+11	-0.1
▸ Career Totals (MLE all levels + projections)
Career	—			5936	5491	1223	208	29	175	365	1666	23	247	46	.223	.274	.367	.641	.144	.284	28	6	.281	74	-178	+31	+51	+21	+168	9.5
/ 162G	—			650	601	134	23	3	19	40	182	3	27	5	.223	.275	.366	.641	.143	.285	28	6	.281	74	-19	+3	+6	+2	+18	1.0

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
2021	23	A+	Spokane Indians	424	390	109	16	2	16	30	134	3	21	6	.279	.336	.454	.790	.174	.388	32	7	.349	125	+12	+2	—	—	+12	2.7
2022	24	AAA	Albuquerque Isotopes	41	36	14	1	2	3	5	13	0	0	0	.389	.463	.778	1.241	.389	.550	32	12	.524	259	+7	+0	—	—	+1	0.9
2022	24	AA	Hartford Yard Goats	507	471	116	21	3	23	23	158	6	23	3	.246	.290	.450	.740	.204	.314	31	5	.321	104	+2	+3	—	—	+14	2.0
2023	25	MLB	Colorado Rockies	431	399	81	16	5	10	22	151	4	22	5	.203	.252	.343	.595	.140	.295	35	5	.262	59	-20	+2	+14	+2	+12	1.0
2023	25	AAA	Albuquerque Isotopes	57	49	15	1	0	5	8	19	0	1	0	.306	.404	.633	1.036	.327	.400	33	14	.446	199	+6	+0	—	—	+2	0.8
2024	26	MLB	Colorado Rockies	603	542	141	24	4	23	46	153	3	30	5	.260	.321	.446	.768	.186	.316	25	8	.333	113	+9	+4	+11	+2	+17	4.4
2025	27	MLB	Colorado Rockies	538	502	117	23	2	15	30	138	0	18	2	.233	.276	.376	.653	.143	.289	26	6	.287	78	-13	+3	+7	+2	+15	1.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1572	1443	339	63	11	48	98	442	7	70	12	.235	.287	.394	.680	.159	.301	28	6	.298	86	-24	+9	+32	+6	+45	6.8

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
Brenton Doyle (OGILVIE)	28	50	55	60	45	.233/.286/.382	.149	.273	17	26	22%	7%	86	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dylan Moore 2021 · MLB	28	45→48	52→50	53→65	45	.231/.307/.404	.173	.287	18	25	26%	7%	101	+1.8	.215/.316/.385	.170	.285	19	31	30%	10%	100	+1.7	.207/.329/.377	.170	.285	16	41	30%	12%	100	+0.9
✕Hernán Pérez 2019 · MLB	28	51→56	48→50	55	43	.257/.293/.398	.141	.298	16	23	20%	5%	92	+1.2	.241/.284/.388	.147	.295	18	16	24%	6%	86	+0.8	.238/.283/.362	.124	.301	16	24	26%	5%	76	+0.0
✕Jorge Mateo 2023 · MLB	28	45→46	48→50	60→65	40	.225/.273/.375	.150	.289	14	31	27%	5%	78	+0.2	.223/.271/.364	.141	.282	13	39	25%	6%	75	-0.0	.218/.263/.346	.128	.274	12	54	25%	6%	65	-0.3
✕Drew Stubbs 2013 · MLB	28	47→57	46→50	57→60	46	.230/.301/.358	.128	.311	15	31	30%	9%	85	+0.7	.235/.301/.369	.134	.330	14	25	31%	8%	89	+0.9	.235/.305/.374	.139	.336	14	24	32%	9%	88	+0.6
✕Michael Helman 2023 · AAA	27	41	51→55	57→55	46	.215/.276/.371	.155	.258	19	25	25%	7%	79	+0.3	.221/.279/.380	.159	.267	19	22	24%	6%	82	+0.5	.213/.271/.381	.168	.251	20	20	24%	6%	76	+0.0
✕Tyler Saladino 2017 · MLB	28	51→46	44→45	56→55	44	.251/.296/.371	.119	.295	12	23	19%	5%	86	+0.8	.221/.284/.335	.114	.281	12	17	25%	7%	72	-0.2	.200/.273/.321	.121	.260	14	15	28%	8%	62	-0.5
✕Michael A. Taylor 2019 · MLB	28	47→51	49→55	57→60	41	.233/.287/.390	.156	.318	16	28	31%	7%	88	+0.9	.227/.282/.375	.148	.314	16	21	31%	7%	82	+0.5	.236/.294/.379	.143	.303	19	14	28%	7%	86	+0.6
✕Pokey Reese 2001 · MLB	28	51→55	46→45	60→55	52	.250/.315/.384	.135	.277	13	25	15%	8%	98	+1.6	.240/.304/.354	.114	.280	10	24	17%	8%	85	+0.7	.235/.299/.330	.095	.280	8	24	18%	8%	71	-0.2
✕Corey Patterson 2007 · MLB	27	49→55	51→55	59→60	43	.251/.295/.412	.161	.296	19	32	22%	5%	97	+1.5	.242/.279/.376	.134	.277	14	33	18%	4%	80	+0.4	.237/.273/.360	.123	.296	11	28	23%	4%	70	-0.2
✕Jayson Nix 2010 · MLB	27	45→49	50→55	51→55	46	.234/.295/.391	.158	.277	18	19	23%	7%	92	+1.2	.216/.281/.377	.161	.260	20	11	25%	7%	83	+0.6	.204/.267/.354	.151	.250	18	9	26%	6%	66	-0.3
●Taylor Motter 2018 · MLB	28	43→49	48→60	52→55	48	.220/.277/.359	.139	.252	16	22	20%	7%	76	+0.0	.188/.252/.321	.133	.228	16	13	25%	7%	56	-1.3	.216/.294/.407	.191	.261	25	5	27%	10%	94	+0.7
✕Tyler Greene 2012 · MLB	28	49→51	48→50	59→55	44	.239/.309/.382	.143	.320	15	26	29%	7%	95	+1.4	.231/.286/.369	.138	.322	14	19	31%	6%	82	+0.5	.224/.268/.346	.121	.323	11	13	33%	5%	64	-0.5
✕Brent Lillibridge 2012 · MLB	28	46→53	46→50	56→60	44	.228/.292/.355	.128	.295	14	29	27%	7%	82	+0.5	.218/.272/.345	.127	.296	15	26	30%	6%	70	-0.3	.200/.250/.309	.109	.278	13	26	32%	5%	49	-1.0
✕Cedric Mullins 2022 · MLB	27	49→56	50→55	57→60	49	.249/.310/.408	.159	.285	17	25	20%	7%	102	+1.9	.251/.316/.417	.166	.291	18	27	20%	8%	107	+2.2	.237/.305/.396	.159	.274	18	31	20%	8%	94	+1.2
✕Reggie Abercrombie 2008 · MLB	27	45→48	51→55	59→60	35	.228/.271/.388	.160	.305	18	31	31%	4%	81	+0.4	.221/.255/.352	.131	.327	14	29	36%	3%	64	-0.8	.223/.266/.365	.142	.327	17	25	36%	3%	71	-0.2
✕Óscar Mercado 2022 · MLB	27	45→53	48→55	55→60	48	.225/.290/.373	.147	.260	15	20	20%	7%	85	+0.7	.223/.285/.376	.153	.261	16	23	21%	7%	84	+0.6	.217/.277/.380	.163	.251	19	28	22%	6%	79	+0.2
✕Sam Haggerty 2023 · MLB	29	48→43	48→50	61→65	46	.239/.309/.386	.147	.307	15	32	26%	8%	96	+1.5	.248/.324/.382	.134	.313	12	36	23%	9%	102	+1.8	.258/.338/.390	.132	.319	9	43	21%	10%	106	+1.1
●Cameron Maybin 2014 · MLB	27	50→59	45→50	58→55	50	.244/.307/.369	.125	.291	12	29	20%	8%	91	+1.1	.246/.308/.356	.110	.297	10	19	19%	8%	88	+0.9	.257/.331/.375	.118	.309	11	30	19%	9%	99	+1.4
✕Jose Siri 2023 · MLB	28	47→52	53→60	58→55	37	.235/.284/.411	.176	.335	21	24	36%	6%	92	+1.2	.212/.267/.412	.200	.293	27	20	36%	6%	86	+0.8	.196/.255/.410	.214	.257	31	19	37%	6%	80	+0.2
✕Roger Bernadina 2012 · MLB	28	49→59	47→45	56→60	47	.243/.303/.376	.133	.289	14	26	21%	7%	91	+1.1	.234/.306/.356	.122	.295	12	22	24%	8%	87	+0.8	.228/.296/.347	.119	.323	12	20	31%	8%	78	+0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)