Everett Cooper III

Everett Cooper IIISS FCL Nationals

Age 23 L/R 6'1" / 184 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION61 act + 8 ros · stats below = ROS only

showingROS

wRC+†66

AVG/OBP/SLG.143 / .250 / .143

PA8

HR0

K%25

BB%12

BABIP271

ISO92

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · ContractCON 57 / POW 35

Toolsscout grade

CONTACT57

scouting grade only

POWER35

scouting grade only

EYE57

scouting grade only

SPEED59

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$0.7M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2022	19	ROK	FCL Nationals	—	16	13	2	0	0	0	2	6	1	0	1	154	312	154	466		286	38	12	246	53	-1	-0	—	—	+0	-0.1
2023	20	ROK	FCL Nationals	—	87	75	28	2	0	0	9	10	3	6	3	373	460	400	860	27	431	11	10	397	155	+6	+0	—	—	+2	0.8
2024	21	A	Fredericksburg Nationals	—	262	218	49	10	1	0	39	39	3	13	2	225	349	280	628	55	272	15	15	299	88	-4	+2	—	—	+6	0.4
2025	22	A	Fredericksburg Nationals	—	62	50	7	2	1	1	8	10	1	4	0	140	267	280	547	140	146	16	13	247	53	-3	+1	—	—	+1	-0.1
2025	22	ROK	FCL Nationals	—	16	15	4	1	0	0	1	3	0	0	1	267	312	333	646	67	333	19	6	294	85	-0	-0	—	—	+0	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	19	ROK MLE	FCL Nationals	—	16	14	1	0	0	0	1	9	1	0	1	71	188	71	259		230	56	6	156	-8	-2	-0	—	—	+0	-0.2
2023	20	ROK MLE	FCL Nationals	—	87	79	25	2	0	0	5	14	3	6	3	316	379	342	721	25	374	16	6	315	99	-0	+0	—	—	+2	0.2
2024	21	A MLE	Fredericksburg Nationals	—	262	234	48	10	1	0	24	53	3	13	2	205	287	256	544	51	261	20	9	246	53	-15	+2	—	—	+6	-0.7
2025	22	A MLE	Fredericksburg Nationals	—	62	54	7	2	1	1	5	15	1	4	0	130	217	259	476	130	120	24	8	192	16	-6	+1	—	—	+1	-0.4
2025	22	ROK MLE	FCL Nationals	—	16	15	3	1	0	0	1	4	0	0	1	200	250	267	517	67	269	25	6	203	24	-1	-0	—	—	+0	-0.2
2022	19	ROK MLE	FCL Nationals	—	16	14	1	0	0	0	1	9	1	0	1	71	188	71	259		200	56	6	156	-8	—	—	—	—	—	—
2022	19	ROK RAW	FCL Nationals	—	16	13	2	0	0	0	2	6	1	0	1	154	312	154	466		286	38	12	246	-8	—	—	—	—	—	—
2023	20	ROK MLE	FCL Nationals	—	87	79	25	2	0	0	5	14	3	6	3	316	379	342	721	25	385	16	6	315	99	—	—	—	—	—	—
2023	20	ROK RAW	FCL Nationals	—	87	75	28	2	0	0	9	10	3	6	3	373	460	400	860	27	431	11	10	397	99	—	—	—	—	—	—
2024	21	A MLE	Fredericksburg Nationals	—	262	234	48	10	1	0	24	53	3	13	2	205	287	256	544	51	264	20	9	246	53	—	—	—	—	—	—
2024	21	A RAW	Fredericksburg Nationals	—	262	218	49	10	1	0	39	39	3	13	2	225	349	280	628	55	272	15	15	299	53	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	78	69	9	2	1	1	6	19	1	4	1	130	211	232	442	101	157	24	8	194	18	—	—	—	—	—	—
2025	22	A RAW	2 teams	—	78	65	11	3	1	1	9	13	1	4	1	169	276	292	569	123	189	17	12	256	18	—	—	—	—	—	—
2022	19	ROK MLE	FCL Nationals	—	16	14	1	0	0	0	1	9	1	0	1	71	188	71	259		230	56	6	156	-8	—	—	—	—	—	—
2023	20	ROK MLE	FCL Nationals	—	87	79	25	2	0	0	5	14	3	6	3	316	379	342	721	25	374	16	6	315	99	—	—	—	—	—	—
2024	21	A MLE	Fredericksburg Nationals	—	262	233	48	10	1	0	24	53	3	13	2	206	287	258	545	52	261	20	9	246	53	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	78	71	9	2	1	1	6	19	1	4	1	127	211	225	436	99	151	24	8	194	18	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	FCL Nationals	—	87	79	25	2	0	0	5	14	3	6	3	316	379	342	721	25	374	16	6	315	99	—	—	—	—	—	—
2024	21	A MLE	Fredericksburg Nationals	—	262	233	48	10	1	0	24	53	3	13	2	206	287	258	545	52	261	20	9	246	53	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	78	71	9	2	1	1	6	19	1	4	1	127	211	225	436	99	151	24	8	194	18	—	—	—	—	—	—
YTD	23	ROK MLE	WSH	—	61	54	6	1	0	0	4	17	2	1	0	111	200	130	330	19	158	28	7	163	-4	-8	+0	+0	+1	+1	-0.5
▸ 2026 season
YTD	23	ROK RAW	WSH	—	34	29	6	2	0	0	2	7	2	1	0	207	303	276	579	69	261	21	6	266	-4	—	—	—	—	—	—
YTD	23	A RAW	WSH	—	27	23	2	0	0	0	4	5	0	0	0	87	222	87	309		111	19	15	170	-4	—	—	—	—	—	—
ROS	23	ROK MLE	WSH	0%	8	7	1	0	0	0	1	2	0	0	0	143	250	143	393		272	25	12	266	66	-0	+0	+0	+0	+0	-0.0
TOT	23	ROK MLE	WSH	—	69	61	7	1	0	0	5	19	2	1	0	115	206	131	337	16	163	28	7	175	5	-8	+0	+0	+1	+1	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	WSH	30%	178	159	35	7	1	2	15	41	2	4	1	220	295	314	610	94	276	23	8	277	74	-6	+0	+0	+2	+4	0.1
2028	25	MLB MLE	WSH	44%	275	247	54	11	1	4	23	64	3	6	1	219	293	320	613	101	278	23	8	284	78	-7	+1	+0	+3	+6	0.3
2029	26	MLB MLE	WSH	51%	342	306	69	14	2	6	29	79	4	8	2	225	301	343	644	118	279	23	8	287	80	-8	+1	+0	+4	+7	0.4
2030	27	MLB MLE	WSH	52%	377	337	76	15	2	7	32	87	5	9	2	226	302	344	646	119	279	23	8	288	81	-8	+1	+0	+4	+8	0.5
2031	28	MLB MLE	WSH	53%	397	355	80	16	2	7	34	92	5	9	2	225	302	341	643	115	279	23	9	287	81	-9	+1	-1	+4	+9	0.4
2032	29	MLB MLE	WSH	53%	402	359	80	16	2	7	35	94	5	9	2	223	301	337	638	114	278	23	9	286	80	-10	+1	-1	+4	+9	0.3
2033	30	MLB MLE	WSH	52%	403	360	79	16	2	6	35	96	5	9	2	219	297	325	623	106	277	24	9	283	78	-11	+1	-2	+4	+9	0.1
2034	31	MLB MLE	WSH	56%	394	352	76	15	2	6	34	95	5	8	2	216	294	321	615	105	275	24	9	279	75	-12	+1	-3	+4	+9	-0.1
2027	24	MLB CTX	WSH	30%	54	49	10	2	0	1	4	13	1	1	0	204	278	306	584	102	275	24	7	267	74	-2	+0	+0	+1	+1	0.0
2028	25	MLB CTX	WSH	44%	121	108	25	5	1	2	10	28	2	3	1	231	308	352	660	120	276	23	8	273	78	-3	+0	+0	+1	+3	0.1
2029	26	MLB CTX	WSH	51%	173	154	35	7	1	3	15	40	2	4	1	227	304	344	648	117	277	23	9	277	80	-4	+0	+0	+2	+4	0.2
2030	27	MLB CTX	WSH	52%	198	177	39	8	1	3	17	46	2	5	1	220	296	328	624	107	277	23	9	278	81	-4	+1	+0	+2	+4	0.3
2031	28	MLB CTX	WSH	53%	212	189	42	8	1	4	18	49	3	5	1	222	300	339	639	116	277	23	8	277	81	-5	+1	-0	+2	+5	0.2
2032	29	MLB CTX	WSH	53%	211	188	42	8	1	4	18	50	3	5	1	223	301	340	642	117	277	24	9	275	80	-5	+1	-1	+2	+5	0.2
2033	30	MLB CTX	WSH	52%	210	187	41	8	1	3	18	50	3	5	1	219	298	321	619	102	276	24	9	273	78	-6	+1	-1	+2	+5	0.1
2034	31	MLB CTX	WSH	56%	221	197	42	8	1	3	19	53	3	5	1	213	292	310	602	96	274	24	9	269	75	-7	+1	-2	+2	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1400	1249	276	54	7	23	119	329	19	33	7	221	298	331	629	110	280	24	8	274	75	-35	+4	-4	+15	+30	1.0
/ 162G	—	A+C		—	650	580	128	25	3	11	55	153	9	15	3	221	298	331	629	110	279	24	8	274	75	-16	+2	-2	+7	+14	0.5
Career	—	MLE		—	3219	2878	633	124	16	46	274	745	42	85	21	220	297	322	619	102	279	23	9	279	75	-71	+7	-7	+30	+60	1.9
/ 162G	—	MLE		—	650	581	127	25	3	9	55	150	8	17	4	219	295	318	613	100	278	23	8	279	75	-17	+2	-2	+7	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jack Hannahanlast yr '14 career totals — 7 seasons, 1,867 PA	2.8	1,867	29	6	232	315	348	+6	+29	6.2	6.2
/162	664	10	2	+2.0	+10.4	2.2	pk7: 6
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.3	1,504	24	33	222	295	330	+16	+15	2.1	2.0
/162	664	11	15	+7.1	+6.6	0.9	pk7: 2
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Everett Cooper III (OGILVIE)	23	52→57	30→35	54→59	57	208/284/290	82	272	1	2	24%	8%	66	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hoy Park 2019 · A	23	46→49	39→45	55	51	217/298/301	85	285	6	17	25%	9%	74	-0.6	228/306/324	96	300	7	16	24%	9%	81	-0.1	215/302/326	111	288	12	18	27%	10%	79	-0.2
✕John Mora 2016 · A	23	50	40	52→50	50	236/302/346	109	286	5	12	19%	8%	84	+0.1	221/281/312	91	289	5	9	24%	7%	69	-0.9	213/272/297	84	284	4	9	25%	7%	59	-1.4
✕Logan Watkins 2013 · AA	23	51→53	40	57→55	48	241/307/340	99	311	6	17	23%	8%	84	+0.2	218/275/312	94	291	7	18	26%	7%	67	-1.1	222/279/293	70	285	3	17	22%	6%	61	-0.7
✕Matt Angle 2009 · A	23	53→58	38→40	54→60	50	249/315/331	82	314	4	19	21%	8%	86	+0.3	251/307/311	60	312	3	26	19%	7%	78	-0.3	250/307/301	51	308	2	31	18%	7%	72	-0.6
✕Kyle Mottice 2019 · A	23	50	35→30	58→55	54	229/334/291	63	272	2	18	15%	9%	86	+0.3	232/327/292	60	284	2	18	17%	8%	83	+0.1	241/335/285	43	296	0	25	16%	7%	81	-0.0
✕Thomas Coyle 2014 · A	23	50→51	40	58→55	53	236/312/337	102	294	6	21	21%	10%	86	+0.3	211/280/303	92	293	6	20	28%	8%	66	-1.1	195/263/281	86	277	6	22	30%	8%	53	-1.3
✕Evan Frey 2009 · A	23	55→58	37→40	56→55	50	259/319/341	81	318	3	19	19%	8%	88	+0.5	248/307/317	69	308	2	22	18%	7%	79	-0.2	243/306/306	62	304	1	24	19%	7%	74	-0.5
✕Ryan Rogowski 2007 · A	23	49→46	40	59→55	52	231/303/334	103	280	6	19	19%	9%	82	-0.0	219/288/308	89	273	4	26	20%	8%	70	-0.8	214/286/299	85	266	4	31	19%	8%	65	-1.0
✕Ryan Boldt 2018 · A	23	49→50	40→45	53→55	43	233/288/327	94	308	6	16	26%	6%	75	-0.5	234/290/353	119	307	9	16	25%	6%	82	-0.0	219/272/345	127	307	12	18	31%	6%	71	-0.4
✕Nick Shaw 2011 · A	22	50→57	36→40	57→45	51	230/312/313	83	310	2	13	24%	9%	81	-0.1	223/297/291	68	287	2	7	21%	9%	70	-0.8	227/306/274	46	298	0	7	21%	9%	68	-0.5
✕Julio Gonzalez 2018 · A	23	48	35→30	55→50	50	223/288/289	66	286	2	12	22%	8%	66	-1.1	206/269/276	70	268	2	8	22%	8%	56	-1.9	173/238/228	55	217	0	5	19%	8%	31	-1.0
✕Cory Harrilchak 2010 · A	22	52→55	38→45	57→50	50	246/300/333	87	283	4	15	15%	7%	80	-0.2	238/289/335	97	292	5	13	19%	6%	76	-0.4	233/286/333	100	287	5	13	19%	6%	73	-0.4
✕Sherman Johnson 2013 · A	23	46→50	40→45	52→50	54	216/306/311	95	287	6	9	25%	11%	78	-0.3	222/300/333	111	283	8	12	23%	10%	81	-0.1	213/294/328	115	264	9	14	22%	10%	75	-0.5
✕Tony Renda 2014 · A	23	51→59	38→40	53→50	50	240/299/332	91	280	4	15	15%	7%	80	-0.2	253/303/330	77	295	3	16	14%	6%	80	-0.1	261/309/334	73	300	2	17	13%	5%	80	-0.1
✕Corey Toups 2016 · A	23	49→50	41→45	56→50	46	235/295/344	109	306	7	17	25%	7%	81	-0.1	216/276/329	113	308	9	16	31%	6%	71	-0.8	204/268/315	111	299	9	16	33%	6%	62	-1.0
✕Jake Peter 2016 · A	23	48→55	37→40	54→50	43	228/272/302	73	290	3	12	22%	5%	62	-1.4	234/282/319	85	314	7	9	26%	6%	70	-0.8	231/282/318	87	316	8	8	28%	6%	68	-0.8
✕Leon Johnson 2008 · A	23	49	40	58→60	50	229/302/326	97	301	6	22	24%	9%	80	-0.2	218/282/296	78	282	5	17	23%	7%	65	-1.2	200/262/221	21	248	0	22	18%	6%	38	-0.7
✕Joshua Howard 2006 · A	23	51	36→40	57→60	44	236/288/314	77	305	2	18	22%	6%	71	-0.8	226/300/291	65	315	3	20	26%	9%	71	-0.8	219/301/270	50	309	2	23	27%	10%	64	-0.6
✕Michael Gigliotti 2019 · A	23	51	42→40	51→55	51	242/314/349	107	303	8	16	22%	9%	90	+0.6	224/290/312	88	307	5	21	27%	7%	73	-0.6	191/301/300	110	261	10	24	28%	11%	74	-0.2
✕Yoel Yanqui 2018 · A	22	52	40	56→50	47	244/307/345	101	326	5	12	25%	8%	86	+0.3	229/282/318	89	316	6	11	27%	7%	70	-0.8	219/276/311	91	303	7	11	28%	7%	65	-0.8

Career Stats + Projections

Career Comps

Career Path Comps