James Wood — OGILVIE

James WoodLF Washington Nationals

Age 23 L/R 6'6" / 234 lbs MLB HR -9% Svc 2.000S2 · Ctrl thru 2029 peak 5.3 · 2029

wRC+†vL 124159vR 146

AVG/OBP/SLG.264 / .355 / .511

PA689

HR36

SB20

K%31

BB%12

xwOBA.451

Barrel%29.5%

MLB%100%

Scouting · now → future

HIT

55→55

PWR

60→60

SPD

55→55

EYE

65↘60

trajectory · 10 yrs

6.1peak

2029

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 2027

DEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.8M	+5.2	$42M	+$41M
2027	Arb-2	$10M	+4.9	$40M	+$30M
2028	Arb-3	$18M	+5.1	$43M	+$25M
2029	Arb-4	$29M	+5.3	$46M	+$18M
Totals		$58M		$172M	+$113M

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	18	ROK	ACL Padres	101	91	22	3	0	2	8	46	2	10	0	.242	.317	.341	.657	.099	.465	46	8	.286	77	-3	+2	+0	-1	+3	0.1
2022	19	A	2 teams	348	309	80	23	1	10	32	110	5	20	5	.259	.338	.437	.775	.178	.366	32	9	.332	112	+5	+2	+0	-4	+10	1.3
2023	20	AA	2 teams	549	496	105	22	7	21	42	224	5	18	3	.212	.280	.411	.691	.200	.327	41	8	.297	85	-9	+2	+0	-6	+16	0.3
2024	21	MLB	2 teams	567	497	140	29	5	16	67	150	2	24	9	.282	.369	.457	.826	.175	.373	26	12	.359	133	+21	+1	-6	-6	+16	2.7
2025	22	MLB	Washington Nationals	689	598	157	40	0	34	85	221	3	15	7	.263	.357	.500	.857	.237	.355	32	12	.364	137	+29	+0	-8	-7	+20	3.4
▸ 2026 Season (actual · ROS · total)
2026	23	MLB	Washington Nationals	127	102	26	6	0	10	23	39	2	4	0	.255	.402	.608	1.009	.353	.302	31	18	.402	166	+9	+1	-3	-1	+4	1.0
ROS	23	MLB	WSH	562	478	127	28	2	33	75	175	4	16	3	.266	.370	.540	.910	.274	.340	31	13	.391	157	+36	+2	-7	-6	+16	4.2
TOT	23	MLB	WSH	689	580	153	34	2	43	98	214	6	20	3	.264	.376	.552	.927	.288	.337	31	14	.393	159	+46	+3	-10	-7	+20	5.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB	WSH	701	600	156	35	2	39	89	189	6	20	3	.260	.361	.520	.881	.260	.310	27	13	.384	152	+41	+3	-9	-8	+20	4.8
2028	25	MLB	WSH	706	603	159	36	2	40	91	189	6	20	3	.264	.366	.529	.895	.265	.311	27	13	.387	154	+43	+3	-9	-8	+20	5.0
2029	26	MLB	WSH	706	602	158	36	2	40	92	189	6	20	3	.262	.366	.528	.894	.266	.312	27	13	.389	156	+44	+3	-9	-8	+20	5.2
2030	27	MLB	WSH	701	596	157	35	2	40	93	189	6	19	3	.263	.368	.530	.899	.267	.312	27	13	.389	156	+44	+3	-9	-8	+20	5.1
2031	28	MLB	WSH	693	591	154	35	2	39	92	188	5	18	2	.261	.365	.525	.889	.264	.312	27	13	.388	155	+43	+3	-10	-7	+20	4.9
2032	29	MLB	WSH	681	580	150	34	2	38	91	186	5	17	2	.259	.364	.521	.885	.262	.311	27	13	.385	153	+41	+3	-10	-7	+19	4.6
2033	30	MLB	WSH	669	570	146	33	2	37	89	185	5	15	1	.256	.361	.516	.877	.260	.309	28	13	.382	151	+38	+3	-11	-7	+19	4.3
2034	31	MLB	WSH	654	557	141	32	1	36	87	184	5	11	0	.253	.359	.508	.867	.255	.308	28	13	.379	148	+35	+2	-11	-7	+19	3.9
2035	32	MLB	WSH	635	541	134	30	1	34	84	182	5	8	0	.248	.354	.495	.849	.248	.306	29	13	.373	144	+32	+2	-12	-7	+18	3.3
2036	33	MLB	WSH	605	516	126	28	1	32	80	178	4	6	0	.244	.350	.488	.838	.244	.304	29	13	.367	139	+27	+1	-12	-6	+17	2.7
2037	34	MLB	WSH	556	474	113	25	1	28	73	168	4	4	0	.238	.345	.473	.817	.234	.301	30	13	.360	133	+21	+1	-12	-6	+16	2.0
2038	35	MLB	WSH	498	427	99	22	1	24	65	155	3	2	0	.232	.337	.457	.794	.225	.298	31	13	.351	126	+15	+0	-12	-5	+14	1.2
2039	36	MLB	WSH	436	373	83	18	1	20	57	141	3	1	0	.223	.330	.437	.767	.214	.294	32	13	.340	118	+9	+0	-12	-5	+12	0.5
2040	37	MLB	WSH	370	318	69	15	1	16	47	123	2	1	0	.217	.322	.421	.743	.204	.288	33	13	.328	109	+4	+0	-12	-4	+10	-0.1
2041	38	MLB	WSH	299	257	52	11	0	12	38	102	2	0	0	.202	.310	.385	.695	.183	.281	34	13	.315	100	-0	+0	-12	-3	+8	-0.7
2042	39	MLB	WSH	224	193	38	8	0	8	28	77	1	0	0	.197	.302	.363	.664	.166	.273	34	12	.302	89	-3	+0	-11	-2	+6	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			11950	10267	2566	578	36	599	1505	3551	89	265	44	.250	.351	.488	.839	.238	.318	30	13	.366	138	+513	+35	-191	-128	+339	57.9
/ 162G	—			650	558	140	31	2	33	82	193	5	14	2	.251	.352	.491	.843	.240	.319	30	13	.366	138	+28	+2	-10	-7	+18	3.2

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	18	ROK	ACL Padres	101	86	32	5	0	3	13	32	2	10	0	.372	.465	.535	1.000	.163	.569	32	13	.445	198	+11	+2	—	—	+3	1.6
2022	19	A	Fredericksburg Nationals	329	275	89	27	1	12	47	68	5	19	5	.324	.431	.560	.991	.236	.391	21	14	.432	189	+33	+2	—	—	+9	4.5
2022	19	ROK	ACL Padres	19	16	2	0	0	0	3	7	0	1	0	.125	.263	.125	.388	.000	.222	37	16	.205	15	-2	+0	—	—	+1	-0.1
2023	20	AA	Harrisburg Senators	368	323	80	19	3	18	39	124	4	10	2	.248	.336	.492	.828	.245	.339	34	11	.362	135	+14	+1	—	—	+10	2.7
2023	20	A+	Wilmington Blue Rocks	181	150	44	9	5	8	26	49	1	8	1	.293	.401	.580	.981	.287	.371	27	14	.415	175	+15	+1	—	—	+5	2.2
2024	21	MLB	Washington Nationals	336	295	78	13	4	9	39	97	2	14	8	.264	.354	.427	.781	.163	.365	29	12	.350	126	+10	-0	-6	-6	+10	0.7
2024	21	AAA	Rochester Red Wings	231	190	67	16	0	10	40	42	0	10	1	.353	.465	.595	1.060	.242	.410	18	17	.460	210	+29	+2	—	—	+7	3.8
2025	22	MLB	Washington Nationals	689	598	153	38	0	31	85	221	3	15	7	.256	.351	.475	.826	.219	.350	32	12	.364	137	+29	+0	-8	-7	+20	3.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1025	893	231	51	4	40	124	318	5	29	15	.259	.352	.459	.811	.200	.355	31	12	.359	133	+39	-0	-13	-13	+29	4.2

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
James Wood (OGILVIE)	23	55	60	55	60	.261/.365/.529	.267	.295	40	19	24%	13%	157	+6.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Cody Bellinger 2020 · MLB	25	52→58	66→70	54→50	58	.280/.369/.549	.268	.311	34	14	22%	12%	163	+6.1	.237/.319/.441	.204	.268	26	12	22%	11%	115	+2.8	.281/.343/.473	.191	.300	24	14	15%	8%	127	+3.5
★Ronald Acuña Jr. 2021 · MLB	23	51→61	63→65	54→65	54	.270/.360/.509	.239	.326	32	24	27%	11%	149	+5.1	.276/.372/.501	.225	.322	29	32	23%	12%	152	+5.3	.291/.383/.509	.218	.323	28	44	18%	11%	152	+4.9
★Juan Soto 2021 · MLB	22	56→61	63→65	51→50	67	.291/.403/.543	.252	.322	30	11	19%	16%	174	+6.9	.283/.424/.512	.229	.304	27	9	16%	20%	174	+6.9	.270/.405/.529	.260	.284	33	16	18%	18%	163	+7.2
★Adam Dunn 2002 · MLB	22	49→51	67→70	47→50	56	.267/.363/.540	.273	.310	34	10	26%	12%	158	+5.8	.249/.380/.489	.240	.303	30	12	26%	16%	151	+5.3	.248/.380/.531	.283	.291	37	5	27%	16%	150	+5.9
★Bryce Harper 2016 · MLB	23	55→60	61→65	45→50	64	.284/.392/.519	.234	.326	29	7	21%	15%	163	+6.1	.273/.393/.507	.234	.312	28	11	21%	16%	161	+6.0	.262/.385/.504	.242	.309	30	10	24%	16%	144	+5.0
●Fernando Tatis Jr. 2023 · MLB	24	50→54	70	55	52	.273/.355/.557	.284	.316	39	23	27%	11%	160	+5.9	.268/.339/.480	.212	.308	27	23	22%	9%	134	+4.1	.267/.346/.461	.194	.306	24	25	21%	10%	125	+3.4
★Kyle Tucker 2022 · MLB	25	49→55	61→65	56→55	51	.261/.325/.493	.232	.285	29	19	20%	8%	131	+3.9	.270/.347/.500	.230	.280	29	21	16%	11%	141	+4.6	.277/.380/.508	.231	.285	28	25	15%	14%	146	+4.4
★Mike Trout 2016 · MLB	24	58→65	64→70	54→60	59	.295/.395/.556	.260	.349	29	15	23%	13%	174	+6.9	.302/.422/.567	.265	.350	31	20	21%	16%	187	+7.8	.308/.447/.586	.278	.350	32	25	20%	18%	182	+7.4
★Yordan Alvarez 2021 · MLB	24	51→57	67→70	45	50	.274/.345/.537	.264	.325	36	5	27%	10%	151	+5.3	.283/.367/.550	.267	.319	35	3	22%	11%	163	+6.1	.299/.400/.579	.280	.313	37	2	17%	13%	171	+6.2
★Ryan Braun 2008 · MLB	24	52→62	63→70	52→55	44	.279/.329/.522	.243	.318	31	17	23%	6%	141	+4.5	.295/.351/.537	.242	.327	29	15	19%	7%	154	+5.4	.310/.376/.524	.214	.339	25	20	16%	8%	155	+6.2
★Shohei Ohtani 2019 · MLB	25	53→58	65→80	49→55	50	.279/.352/.531	.251	.341	32	15	27%	10%	152	+5.3	.265/.342/.500	.235	.329	29	18	27%	10%	140	+4.5	.295/.395/.616	.321	.335	41	29	24%	14%	173	+7.8
★David Wright 2006 · MLB	23	57→66	58→60	49→55	54	.295/.366/.510	.215	.320	25	14	17%	9%	152	+5.3	.306/.386/.523	.217	.340	25	18	17%	11%	163	+6.1	.308/.396/.529	.221	.340	25	20	16%	12%	160	+6.9
★Vladimir Guerrero Jr. 2022 · MLB	23	55→62	62→65	46→45	57	.291/.369/.522	.231	.304	31	4	16%	10%	157	+5.7	.288/.362/.502	.214	.306	27	5	16%	10%	148	+5.1	.295/.377/.485	.190	.316	22	4	14%	11%	140	+5.1
★Andruw Jones 2001 · MLB	24	56→58	61→70	53→50	53	.294/.357/.521	.228	.302	28	16	14%	8%	151	+5.3	.268/.340/.493	.225	.289	30	10	19%	9%	137	+4.3	.259/.352/.526	.267	.268	37	5	19%	11%	140	+5.0
●Evan Longoria 2010 · MLB	24	51→58	60→65	52→50	52	.268/.345/.494	.226	.307	28	7	23%	10%	140	+4.5	.273/.360/.502	.229	.305	26	9	19%	11%	147	+5.0	.272/.366/.500	.228	.298	27	7	18%	12%	137	+3.8
★Kris Bryant 2017 · MLB	25	54→58	64→65	48→50	51	.278/.365/.524	.246	.347	31	10	28%	10%	155	+5.5	.282/.383/.513	.231	.334	27	7	22%	12%	160	+5.9	.277/.386/.502	.225	.327	26	4	22%	12%	151	+5.1
★Giancarlo Stanton 2013 · MLB	23	49→56	71→80	45	49	.269/.346/.558	.289	.317	39	7	28%	10%	157	+5.7	.266/.362/.522	.256	.328	34	7	28%	13%	154	+5.4	.271/.358/.548	.277	.318	39	2	27%	11%	148	+5.5
●Eric Chavez 2002 · MLB	24	53→54	61→65	46→45	53	.279/.342/.509	.230	.293	29	6	17%	9%	142	+4.6	.278/.351/.510	.232	.295	29	7	17%	10%	146	+4.9	.276/.364/.507	.231	.291	29	7	16%	12%	138	+4.6
★Prince Fielder 2008 · MLB	24	50→60	65→70	44→45	55	.271/.358/.526	.255	.290	34	5	20%	10%	154	+5.4	.278/.384/.532	.254	.301	33	3	19%	13%	164	+6.2	.277/.403/.519	.241	.299	30	1	18%	16%	146	+5.8
★Yasiel Puig 2014 · MLB	23	58→64	57→60	50→55	47	.293/.357/.502	.208	.348	25	20	23%	7%	147	+5.0	.288/.360/.474	.186	.345	19	12	21%	9%	140	+4.5	.283/.356/.461	.177	.336	18	8	20%	9%	134	+3.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)