Brandon Drury — OGILVIE

Brandon Drury3B Omaha Storm Chasers

Age 33 R/R 6'1" / 225 lbs AAA HR -5%BB +4% Svc 11.000 · Ctrl thru 2026

wRC+†vL -758vR 20

AVG/OBP/SLG.209 / .277 / .344

PA338

HR9

K%25

BB%7

xwOBA.264

Barrel%3.6%

MLB%10%

Scouting · now → future

HIT

40→40

PWR

40→40

SPD

40→40

EYE

48↗55

trajectory · 10 yrs

-0.1peak

2026

Barrel%

143.6

xwOBA

120.264

Avg EV

3087.6

Whiff%

550.104

Chase%

620.294

Speed

2026.0

Bat Spd

6272.6

Contract

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

Status FA

MLB Debut 2015

Service 11.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$-2M	-$3M

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
2010	17	ROK	GCL Braves	207	196	27	4	1	2	5	72	4	2	2	.138	.176	.199	.375	.061	.203	35	2	.164	-16	-27	-0	+0	+1	+6	-2.1
2011	18	ROK	Danville Braves	278	268	72	16	0	6	3	50	4	3	0	.269	.287	.396	.683	.127	.307	18	1	.295	84	-5	+1	+0	+1	+8	0.5
2012	19	A	Rome Braves	480	453	79	16	2	5	12	108	7	3	4	.174	.208	.252	.459	.077	.214	22	2	.201	12	-48	-1	+0	+2	+14	-3.4
2013	20	A	South Bend Silver Hawks	583	543	134	38	3	14	30	124	5	1	1	.247	.292	.405	.698	.158	.293	21	5	.305	92	-6	-0	+0	+2	+17	1.3
2014	21	A+	3 teams	703	656	166	42	1	21	36	146	7	4	5	.253	.299	.416	.715	.163	.294	21	5	.310	95	-4	-1	+0	+3	+20	1.8
2015	22	AA	3 teams	626	590	153	35	1	6	24	109	5	4	7	.259	.294	.353	.647	.093	.305	17	4	.283	75	-18	-2	+0	+2	+18	0.0
2016	23	MLB	2 teams	514	475	132	32	1	15	32	101	3	1	1	.278	.327	.444	.772	.166	.322	20	6	.331	112	+7	-0	-9	-6	+15	0.7
2017	24	MLB	Arizona Diamondbacks	480	445	116	33	2	12	28	103	5	1	1	.261	.312	.425	.736	.164	.313	21	6	.321	104	+2	-0	+7	+2	+14	2.5
2018	25	AAA	3 teams	346	308	71	15	1	6	31	102	6	3	1	.231	.313	.344	.657	.114	.323	29	9	.295	84	-6	+0	-1	+1	+10	0.3
2019	26	MLB	Toronto Blue Jays	447	418	92	22	1	14	25	113	1	0	1	.220	.266	.378	.644	.158	.265	25	6	.282	74	-13	-0	+3	+2	+13	0.4
2020	27	MLB	Toronto Blue Jays	49	46	7	1	0	0	2	9	0	0	0	.152	.188	.174	.361	.022	.184	18	4	.161	-19	-7	+0	+0	+0	+1	-0.5
2021	28	AAA	2 teams	324	304	72	18	0	11	16	83	2	0	0	.237	.280	.405	.684	.168	.288	26	5	.297	85	-5	+0	-1	+1	+9	0.4
2022	29	MLB	San Diego Padres	568	518	135	34	2	24	38	126	8	2	3	.261	.321	.473	.794	.212	.298	22	7	.343	121	+13	-1	+1	+2	+16	3.2
2023	30	MLB	Los Angeles Angels	523	485	129	28	3	25	25	136	8	0	2	.266	.313	.491	.803	.225	.316	26	5	.341	119	+11	-1	+4	+2	+15	3.2
2024	31	MLB	2 teams	385	345	60	7	0	4	31	88	6	1	0	.174	.254	.229	.483	.055	.219	23	8	.224	29	-31	+0	-1	+1	+11	-2.0
2025	32	AAA	2 teams	228	202	33	8	1	2	22	63	4	0	1	.163	.259	.243	.501	.079	.226	28	10	.230	34	-17	-0	+0	+1	+6	-1.0
▸ 2026 Season (actual · ROS · total)
2026	33	AAA	Omaha Storm Chasers	51	48	8	2	0	0	2	24	1	0	0	.167	.216	.208	.424	.042	.333	47	4	.195	7	-5	+0	+0	+0	+1	-0.4
ROS	33	MLB	KC	287	261	54	10	1	7	19	79	5	1	0	.207	.274	.333	.607	.126	.265	28	7	.273	67	-11	+0	+1	+1	+8	-0.1
TOT	33	MLB	KC	338	309	62	12	1	7	21	103	6	1	0	.201	.265	.314	.579	.113	.275	30	6	.261	58	-16	+0	+1	+1	+10	-0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	34	MLB 20%	KC	294	267	56	11	1	7	20	68	5	0	0	.210	.277	.337	.614	.127	.248	23	7	.272	67	-11	+0	-4	+1	+8	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			7322	6780	1588	370	21	181	399	1680	85	26	29	.234	.285	.375	.660	.141	.283	23	5	.288	79	-175	-6	-1	+19	+207	4.5
/ 162G	—			650	602	141	33	2	16	35	149	8	2	3	.234	.286	.375	.661	.141	.283	23	5	.288	79	-16	-1	-0	+2	+18	0.4

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
2010	17	ROK	GCL Braves	207	192	38	7	1	3	9	50	4	2	2	.198	.249	.292	.540	.094	.250	24	4	.244	45	-13	-0	—	—	+6	-0.8
2011	18	ROK	Danville Braves	278	265	92	23	0	8	6	35	4	3	0	.347	.371	.525	.895	.177	.373	13	2	.390	157	+18	+1	—	—	+8	2.7
2012	19	A	Rome Braves	480	445	102	22	3	6	20	74	7	3	4	.229	.273	.333	.606	.103	.259	15	4	.269	64	-20	-1	—	—	+14	-0.7
2013	20	A	South Bend Silver Hawks	583	526	159	51	4	15	47	92	5	1	1	.302	.365	.500	.865	.198	.340	16	8	.378	147	+31	-0	—	—	+17	4.8
2014	21	AA	Mobile BayBears	116	105	31	7	0	4	7	19	2	0	0	.295	.351	.476	.827	.181	.321	16	6	.360	134	+4	+0	—	—	+3	0.8
2014	21	A+	Visalia Rawhide	478	430	129	35	1	19	41	76	5	3	3	.300	.368	.519	.886	.219	.326	16	9	.388	155	+30	-1	—	—	+14	4.3
2014	21	INTL	Salt River Rafters	109	96	21	4	1	3	13	21	0	1	2	.219	.312	.375	.687	.156	.250	19	12	.310	96	-1	-1	—	—	+3	0.2
2015	22	MLB	Arizona Diamondbacks	59	56	12	3	0	2	2	8	1	0	0	.214	.254	.375	.629	.161	.217	14	3	.279	72	-2	+0	+0	+2	+2	0.2
2015	22	AAA	Reno Aces	276	251	83	26	0	2	21	35	2	0	2	.331	.387	.458	.845	.127	.375	13	8	.375	145	+14	-1	—	—	+8	2.1
2015	22	AA	Mobile BayBears	291	273	76	14	1	3	11	41	2	4	5	.278	.311	.370	.681	.092	.312	14	4	.301	88	-4	-1	—	—	+8	0.3
2016	23	MLB	Arizona Diamondbacks	499	461	130	31	1	16	31	100	3	1	1	.282	.331	.458	.789	.176	.327	20	6	.346	123	+13	-0	-9	-6	+14	1.3
2016	23	AAA	Reno Aces	15	14	2	0	0	0	1	1	0	0	0	.143	.200	.143	.343	.000	.154	7	7	.167	-14	-2	+0	—	—	+0	-0.2
2017	24	MLB	Arizona Diamondbacks	480	445	119	37	2	13	28	103	5	1	1	.267	.318	.447	.765	.180	.320	21	6	.337	116	+9	-0	+7	+2	+14	3.2
2018	25	MLB	Toronto Blue Jays	86	77	13	4	0	1	7	20	2	0	0	.169	.256	.260	.516	.091	.214	23	8	.242	43	-6	+0	-1	+1	+2	-0.3
2018	25	AAA	Scranton/Wilkes-Barre RailRiders	235	199	58	13	1	5	32	58	4	3	1	.291	.400	.442	.842	.151	.390	25	14	.380	149	+13	+0	—	—	+7	2.0
2018	25	AA	Trenton Thunder	25	19	5	0	0	1	5	10	0	0	0	.263	.417	.421	.838	.158	.444	40	20	.368	139	+1	+0	—	—	+1	0.2
2019	26	MLB	Toronto Blue Jays	447	418	91	21	1	15	25	113	1	0	1	.218	.264	.380	.644	.163	.259	25	6	.284	75	-12	-0	+3	+2	+13	0.5
2020	27	MLB	Toronto Blue Jays	49	46	7	1	0	0	2	9	0	0	0	.152	.188	.174	.361	.022	.184	18	4	.165	-15	-6	+0	+0	+0	+1	-0.5
2021	28	MLB	New York Mets	88	84	23	5	0	4	3	22	1	0	0	.274	.307	.476	.783	.202	.328	25	3	.344	121	+2	+0	-1	+1	+2	0.5
2021	28	AAA	Syracuse Mets	236	214	55	14	0	9	19	49	1	0	0	.257	.321	.449	.769	.192	.291	21	8	.338	116	+4	+0	—	—	+7	1.1
2022	29	MLB	San Diego Padres	568	518	136	31	2	28	38	126	8	2	3	.263	.323	.492	.815	.230	.293	22	7	.355	130	+19	-1	+1	+2	+16	3.8
2023	30	MLB	Los Angeles Angels	523	485	127	30	3	26	25	136	8	0	2	.262	.309	.497	.806	.235	.308	26	5	.349	125	+15	-1	+4	+2	+15	3.5
2024	31	MLB	Los Angeles Angels	360	325	55	7	0	4	27	81	5	1	0	.169	.244	.228	.471	.058	.210	22	8	.221	28	-29	+0	-1	+1	+10	-2.0
2024	31	AAA	Salt Lake Bees	25	19	5	0	0	0	5	5	1	0	0	.263	.440	.263	.703	.000	.357	20	20	.350	126	+1	+0	—	—	+1	0.1
2025	32	AAA	Salt Lake Bees	201	172	38	8	1	3	25	42	4	0	1	.221	.333	.331	.665	.110	.276	21	12	.309	94	-1	-0	—	—	+6	0.4
2025	32	ROK	ACL Angels	27	20	3	2	0	0	7	5	0	0	0	.150	.370	.250	.620	.100	.200	19	26	.310	95	-0	+0	—	—	+1	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			3159	2915	713	170	9	109	188	718	34	5	8	.245	.298	.421	.719	.177	.286	23	6	.317	101	+2	-2	+3	+8	+90	10.2

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
Brandon Drury (OGILVIE)	33	40	40	40	55	.209/.277/.344	.135	.258	9	1	25%	7%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chad Moeller 2008 · MLB	33	40	46→50	41→30	43	.207/.263/.330	.123	.255	14	4	25%	6%	63	-0.9	.214/.268/.320	.106	.267	9	4	23%	6%	62	-0.9	.207/.260/.300	.092	.257	5	0	21%	5%	49	-0.5
✕Nick Green 2013 · MLB	34	43→47	46→50	41→45	41	.219/.266/.354	.135	.264	14	5	23%	4%	70	-0.3	.206/.253/.324	.118	.265	13	6	27%	4%	56	-1.3	.168/.216/.255	.087	.223	11	1	29%	4%	20	-2.6
✕Dustin Garneau 2021 · MLB	33	41→38	49→50	44→45	45	.210/.289/.361	.151	.270	17	4	28%	8%	82	+0.5	.197/.276/.372	.175	.256	22	5	31%	8%	80	+0.4	.153/.238/.328	.175	.182	24	1	32%	7%	52	-0.5
✕Chris Truby 2006 · MLB	32	40→43	50	42→45	43	.212/.259/.365	.153	.251	19	5	25%	6%	69	-0.4	.205/.251/.328	.123	.264	14	9	27%	6%	56	-1.3	.179/.230/.277	.099	.235	9	11	28%	5%	33	-1.8
✕Mike DiFelice 2002 · MLB	33	44	45→50	46→30	44	.219/.270/.345	.126	.263	13	5	22%	6%	69	-0.4	.229/.288/.359	.130	.272	12	5	20%	7%	80	+0.4	.220/.284/.348	.129	.267	13	2	22%	7%	75	-0.0
✕Jonathan Aceves 2011 · AAA	33	42	47→55	41→30	41	.217/.259/.346	.129	.260	16	4	24%	5%	64	-0.8	.225/.273/.374	.149	.278	18	5	25%	6%	79	+0.3	.243/.313/.364	.121	.289	14	1	20%	7%	90	+0.5
✕Bryan Holaday 2021 · MLB	33	47	44→45	42→40	50	.229/.298/.342	.114	.263	11	5	18%	8%	81	+0.4	.227/.288/.391	.164	.279	19	8	25%	7%	89	+1.0	.195/.249/.389	.194	.232	24	4	28%	5%	75	-0.0
✕Jesus Alberto Vega 2015 · AAA	33	44	46→50	47→40	41	.224/.273/.345	.121	.286	14	7	27%	6%	70	-0.3	.217/.265/.316	.099	.306	9	5	31%	5%	59	-1.1	.204/.253/.285	.081	.295	7	1	32%	5%	42	-0.7
✕Tuffy Gosewisch 2017 · MLB	33	45→44	45	46→40	45	.226/.275/.348	.122	.259	13	5	19%	5%	72	-0.2	.198/.262/.302	.104	.256	9	4	25%	6%	55	-1.4	.170/.241/.254	.083	.233	6	1	28%	6%	32	-1.2
✕Dusty Wathan 2007 · AAA	33	45	47→45	45→40	44	.231/.296/.362	.131	.269	16	6	21%	6%	85	+0.7	.236/.297/.329	.093	.286	7	8	19%	5%	76	+0.1	.252/.314/.309	.057	.309	0	6	17%	4%	76	+0.0
✕Francisco Cordoba 2017 · AAA	33	46→53	43→45	44→40	43	.227/.278/.333	.106	.275	11	4	22%	5%	69	-0.4	.216/.267/.326	.110	.256	13	4	21%	5%	63	-0.9	.206/.260/.339	.133	.229	20	0	20%	6%	62	-0.5
✕Paul Hoover 2009 · MLB	33	46	44→45	43→45	40	.225/.273/.340	.115	.298	11	5	28%	6%	69	-0.4	.221/.274/.314	.093	.305	6	4	28%	6%	63	-0.9	.219/.278/.298	.079	.306	3	1	27%	7%	55	-0.7
✕Guillermo Quiroz 2015 · MLB	33	45	44→50	48→50	40	.222/.268/.336	.114	.285	11	4	26%	5%	66	-0.6	.219/.260/.324	.105	.284	10	5	26%	4%	59	-1.1	.211/.251/.342	.131	.272	16	0	28%	3%	56	-0.6
✕Matt McBride 2018 · MLB	33	43→51	47→55	45→40	44	.216/.266/.359	.143	.250	15	5	20%	5%	71	-0.3	.212/.266/.384	.172	.248	21	4	24%	6%	79	+0.3	.193/.249/.384	.191	.213	26	0	25%	6%	69	-0.1
✕Matt Pagnozzi 2015 · MLB	32	37	45	47→40	40	.193/.251/.306	.113	.249	14	3	29%	6%	52	-1.6	.210/.265/.321	.111	.268	13	6	26%	6%	61	-1.0	.206/.263/.282	.076	.258	8	0	22%	7%	49	-0.7
✕Chad Mottola 2006 · MLB	34	41→44	51→55	40→45	41	.218/.260/.378	.160	.253	20	5	23%	5%	74	-0.1	.224/.263/.377	.153	.270	18	8	24%	5%	75	-0.0	.224/.262/.376	.153	.268	18	8	24%	4%	70	-0.2
✕Humberto Sosa 2019 · AAA	33	43→50	43→50	49→45	43	.214/.262/.319	.105	.269	11	7	25%	6%	59	-1.1	.247/.299/.448	.201	.297	26	7	26%	6%	109	+2.4	.261/.318/.535	.274	.294	39	0	26%	6%	137	+1.2
✕Josh Wilson 2014 · MLB	33	40→50	41→45	44→50	40	.200/.247/.298	.099	.261	8	7	27%	5%	46	-2.0	.207/.251/.290	.083	.289	7	8	30%	4%	46	-2.0	.207/.253/.281	.074	.288	6	7	29%	4%	43	-1.2
✕Shawn Wooten 2005 · MLB	33	49→45	45→50	39→30	50	.241/.300/.363	.122	.270	13	5	17%	7%	86	+0.8	.225/.275/.341	.116	.262	14	3	19%	5%	70	-0.3	.218/.265/.316	.098	.257	11	0	20%	4%	58	-0.7
✕Anthony Recker 2017 · MLB	33	42→48	50	48→45	47	.214/.292/.365	.151	.283	18	5	30%	9%	85	+0.7	.212/.279/.357	.145	.289	16	5	31%	7%	77	+0.1	.194/.255/.340	.146	.266	16	1	32%	6%	59	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)