Mason McCoy — OGILVIE

Mason McCoy2B El Paso Chihuahuas

INJURED · Reassigned to Minors (RM)

Age 31 R/R 5'11" / 185 lbs AAA HR +13%BB +8% Svc 2.000S2 · Ctrl thru 2029 peak 0.2 · 2027

wRC+†56

AVG/OBP/SLG.201 / .267 / .307

PA152

HR3

SB8

K%34

BB%8

MLB%55%

Scouting · now → future

HIT

50→50

PWR

50→50

SPD

55→55

EYE

46↗50

trajectory · 10 yrs

-0.2peak

2026

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2024

Service 2.000 yrs.days

Team Control Through 2029

First FA Year 2030

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.2M	—	—	—
2027	Arb-2	$0.4M	+0.2	$0.8M	+$0.4M
2028	Arb-3	$0.4M	—	—	—
2029	Arb-4	$0.6M	—	—	—
Totals		$-0.5M		$-0.1M	+$0.4M

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
2018	23	A	Delmarva Shorebirds	536	502	112	15	8	4	26	128	4	13	2	.223	.267	.309	.576	.086	.290	24	5	.251	50	-30	+2	+0	+6	+15	-0.8
2019	24	AA	3 teams	671	631	150	20	6	4	33	154	3	14	5	.238	.279	.307	.586	.070	.307	23	5	.257	55	-34	+1	+0	+7	+19	-0.7
2021	26	AAA	Norfolk Tides	455	421	81	18	5	7	27	163	0	13	3	.192	.241	.309	.550	.116	.290	36	6	.236	39	-31	+1	+0	+5	+13	-1.3
2022	27	AAA	Tacoma Rainiers	503	458	92	20	4	14	34	165	3	22	3	.201	.261	.354	.614	.153	.275	33	7	.268	63	-21	+3	+0	+5	+14	0.2
2023	28	AAA	Buffalo Bisons	487	435	76	16	2	11	41	181	5	25	2	.175	.254	.297	.550	.122	.262	37	8	.244	45	-30	+4	-1	+5	+14	-0.8
2024	29	AAA	2 teams	489	446	86	20	2	3	32	160	2	26	8	.193	.250	.267	.517	.074	.291	33	7	.231	35	-36	+2	+2	+5	+14	-1.3
2025	30	AAA	2 teams	412	368	74	17	1	8	31	139	3	19	7	.201	.269	.318	.587	.117	.292	34	8	.260	57	-20	+1	+0	+4	+12	-0.3
▸ 2026 Season (actual · ROS · total)
2026	31	AAA	El Paso Chihuahuas	79	71	12	2	0	3	6	26	2	5	1	.169	.253	.324	.577	.155	.214	33	8	.255	53	-4	+1	+0	+1	+2	-0.0
ROS	31	MLB	SD	73	66	13	3	0	1	6	25	1	3	1	.197	.274	.288	.562	.091	.285	34	8	.261	58	-3	+0	+0	+1	+2	0.0
TOT	31	MLB	SD	152	137	25	5	0	4	12	51	3	8	2	.182	.263	.307	.570	.124	.256	34	8	.258	56	-8	+1	+0	+2	+4	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB 66%	SD	361	325	68	14	1	8	29	102	4	16	3	.209	.282	.332	.614	.123	.272	28	8	.274	68	-13	+2	-1	+4	+10	0.1
2028	33	MLB 75%	SD	331	299	61	12	1	7	26	94	3	13	2	.204	.274	.321	.595	.117	.272	28	8	.272	66	-13	+2	-2	+4	+9	-0.0
2029	34	MLB 83%	SD	287	259	52	10	1	6	23	83	3	11	2	.201	.274	.317	.590	.116	.271	29	8	.267	63	-12	+1	-3	+3	+8	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			4605	4210	865	165	31	73	308	1394	31	175	38	.205	.265	.311	.576	.106	.286	30	7	.255	53	-244	+20	-5	+49	+130	-5.1
/ 162G	—			650	594	121	23	4	10	43	197	4	25	5	.204	.262	.306	.568	.103	.284	30	7	.255	53	-34	+3	-1	+7	+18	-0.7

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
2018	23	A	Delmarva Shorebirds	536	482	128	18	10	4	45	95	4	13	2	.266	.333	.369	.702	.104	.321	18	8	.315	99	-1	+2	—	—	+15	1.7
2019	24	AA	Bowie Baysox	471	429	114	13	7	2	36	84	3	10	3	.266	.327	.343	.670	.077	.326	18	8	.303	90	-5	+1	—	—	+13	0.9
2019	24	A+	Frederick Keys	125	116	44	9	0	2	8	16	0	3	0	.379	.419	.509	.928	.129	.424	13	6	.409	171	+10	+1	—	—	+4	1.5
2019	24	INTL	Surprise Saguaros	75	64	14	2	1	0	11	18	0	1	2	.219	.333	.281	.615	.062	.304	24	15	.291	81	-2	-1	—	—	+2	-0.0
2021	26	AAA	Norfolk Tides	455	408	90	21	6	9	40	133	0	13	3	.221	.290	.368	.658	.147	.300	29	9	.290	80	-10	+1	—	—	+13	0.4
2022	27	AAA	Tacoma Rainiers	503	442	113	23	5	21	50	130	3	22	3	.256	.335	.473	.808	.217	.311	26	10	.351	126	+15	+3	—	—	+14	3.3
2023	28	AAA	Buffalo Bisons	487	417	92	21	3	12	59	146	5	25	2	.221	.324	.372	.696	.151	.303	30	12	.313	97	-1	+4	—	—	+14	1.7
2024	29	MLB	San Diego Padres	57	49	10	2	0	0	5	19	0	1	0	.204	.278	.245	.523	.041	.333	33	9	.233	37	-4	+0	+2	+5	+2	0.5
2024	29	AAA	El Paso Chihuahuas	432	385	100	26	3	5	39	105	2	25	8	.260	.331	.382	.713	.122	.343	24	9	.317	101	+0	+2	—	—	+12	1.5
2025	30	MLB	San Diego Padres	26	22	3	1	0	0	3	7	1	2	0	.136	.269	.182	.451	.045	.200	27	12	.228	33	-2	+0	+0	+4	+1	0.4
2025	30	AAA	El Paso Chihuahuas	386	331	90	22	2	11	43	99	2	17	7	.272	.359	.450	.809	.178	.350	26	11	.351	127	+12	+1	—	—	+11	2.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			83	71	13	3	0	0	8	26	1	3	0	.183	.275	.225	.500	.042	.289	31	10	.232	35	-6	+1	+2	+10	+2	0.9

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
Mason McCoy (OGILVIE)	31	50	50	55	50	.201/.267/.307	.106	.297	3	7	34%	8%	58	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jack Reinheimer 2023 · AAA	31	43→51	40	55	40	.209/.262/.297	.088	.290	8	20	30%	6%	53	-1.5	.186/.232/.268	.082	.274	7	16	33%	5%	33	-2.9	.143/.180/.193	.050	.195	3	12	28%	4%	-11	-1.3
✕Pedro Florimón 2017 · MLB	30	44→52	41→45	58→55	40	.212/.261/.316	.104	.301	7	21	31%	6%	56	-1.3	.223/.280/.342	.119	.330	12	10	34%	7%	72	-0.2	.214/.279/.335	.121	.324	13	4	36%	7%	68	-0.3
✕Billy Hamilton 2022 · MLB	31	44→54	40	59→70	43	.212/.267/.310	.098	.290	7	32	28%	7%	58	-1.2	.191/.250/.285	.094	.293	8	33	35%	7%	45	-2.1	.137/.206/.179	.042	.227	2	52	38%	8%	-3	-1.1
✕Keon Broxton 2021 · MLB	31	40→50	46→55	54→60	38	.191/.258/.316	.125	.325	15	27	44%	8%	57	-1.2	.189/.263/.312	.123	.371	16	17	49%	8%	59	-1.1	.139/.223/.237	.098	.291	15	20	53%	8%	21	-1.9
✕Kristopher Negrón 2017 · MLB	31	44→50	43→45	54→55	39	.216/.267/.328	.112	.279	10	19	26%	5%	63	-0.8	.223/.280/.345	.122	.308	13	16	30%	6%	73	-0.1	.225/.289/.349	.123	.323	14	14	32%	7%	74	-0.0
✕Reggie Abercrombie 2012 · AAA	31	43→48	42→55	52→60	32	.210/.248/.315	.106	.317	9	19	36%	4%	52	-1.6	.239/.292/.417	.178	.336	23	22	35%	4%	98	+1.6	.239/.291/.422	.183	.336	25	26	35%	3%	97	+0.8
✕Jason Repko 2012 · MLB	31	45→48	46→50	53→55	44	.227/.283/.349	.122	.282	14	21	25%	6%	76	+0.0	.217/.276/.349	.132	.279	14	14	27%	6%	73	-0.1	.190/.253/.336	.146	.240	15	10	27%	6%	56	-0.5
●Wynton Bernard 2022 · AAA	31	42→52	42→45	59→60	41	.206/.258/.310	.104	.274	9	26	28%	6%	55	-1.4	.242/.290/.372	.130	.299	13	32	23%	6%	84	+0.6	.251/.299/.377	.127	.306	12	37	21%	6%	85	+0.5
✕Elliot Johnson 2015 · MLB	31	43→53	41→50	59→60	45	.211/.268/.311	.100	.275	8	24	26%	7%	59	-1.1	.209/.268/.327	.118	.277	10	14	27%	7%	63	-0.8	.191/.248/.306	.115	.256	9	9	28%	6%	49	-0.5
✕Brian Bixler 2014 · MLB	31	46→56	39→45	50→55	41	.218/.275/.307	.089	.313	7	15	31%	6%	61	-1.0	.204/.259/.281	.077	.297	7	12	32%	6%	47	-1.9	.181/.238/.219	.038	.267	3	9	31%	5%	20	-2.1
✕Matt Lipka 2022 · AAA	30	49→53	45	57→60	38	.239/.285/.360	.121	.329	12	30	30%	5%	79	+0.3	.225/.283/.336	.111	.326	10	35	32%	7%	72	-0.2	.194/.263/.274	.079	.298	4	59	34%	8%	43	-0.8
✕Delino DeShields 2023 · MLB	30	46→53	37→45	55→65	52	.210/.304/.283	.072	.301	5	30	29%	11%	69	-0.4	.215/.297/.289	.074	.316	5	24	30%	10%	66	-0.6	.234/.314/.288	.054	.387	0	11	35%	9%	68	-0.1
✕Brandon Barnes 2017 · MLB	31	45→52	42→55	47→50	39	.218/.260/.323	.106	.295	9	14	29%	5%	59	-1.1	.218/.266/.344	.126	.305	13	15	32%	5%	67	-0.5	.214/.266/.361	.147	.296	17	15	33%	5%	69	-0.4
✕Jayson Nix 2014 · MLB	31	45→49	43→55	53→55	45	.220/.287/.336	.116	.289	11	17	27%	7%	74	-0.1	.202/.255/.294	.092	.265	8	11	26%	6%	50	-1.8	.171/.213/.240	.070	.223	6	4	26%	5%	15	-1.7
✕J.J. Furmaniak 2009 · MLB	30	45→50	44→45	51→50	42	.224/.279/.333	.109	.292	12	19	27%	6%	70	-0.3	.218/.268/.308	.090	.275	7	11	22%	6%	58	-1.2	.210/.257/.286	.076	.263	4	10	21%	5%	45	-1.4
✕Andrew Velazquez 2023 · MLB	29	42→52	45→50	60	40	.209/.264/.329	.120	.299	12	32	33%	6%	63	-0.9	.206/.258/.320	.114	.309	13	33	36%	6%	57	-1.2	.200/.249/.300	.101	.301	12	38	36%	6%	45	-1.3
✕Eric Stamets 2022 · MLB	30	37→47	43→45	55→50	41	.189/.250/.298	.109	.260	11	14	31%	6%	49	-1.8	.188/.258/.305	.117	.268	13	13	33%	7%	55	-1.4	.146/.225/.246	.100	.213	12	16	36%	6%	24	-1.3
✕John Andreoli 2021 · MLB	31	45→55	43→45	54→60	48	.215/.299/.331	.117	.315	10	16	32%	10%	78	+0.2	.182/.279/.319	.137	.314	16	17	42%	12%	68	-0.5	.142/.255/.275	.133	.243	17	21	45%	13%	45	-1.1
✕Jonathan Davis 2022 · MLB	30	41→51	45	52→55	47	.202/.302/.325	.123	.271	12	19	28%	9%	79	+0.3	.222/.307/.336	.114	.302	10	22	28%	9%	83	+0.6	.221/.303/.332	.112	.308	10	22	29%	9%	76	+0.0
✕Drew Jackson 2022 · AAA	29	42→45	45	56→55	45	.205/.290/.325	.121	.298	12	25	33%	9%	73	-0.1	.214/.291/.328	.114	.349	12	22	38%	9%	74	-0.1	.184/.261/.252	.069	.349	8	20	45%	8%	38	-0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)