Nick Ward — OGILVIE

Nick Ward2B Adelaide Giants

Age 30 L/R 5'9" / 180 lbs INTL Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 237 proj PA

wRC+†61

AVG/OBP/SLG.196 / .279 / .273

PA19

HR0

K%27

BB%9

ISO77

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 32 / POW 32

Toolsscout grade

CONTACT32

scouting grade only

POWER32

scouting grade only

EYE51

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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)
2018	22	ROK	AZL Athletics	—	190	154	42	4	7	2	30	37	4	8	4	273	404	429	833	156	342	19	16	372	138	+9	+0	—	—	+4	1.3
2019	23	A	Beloit Snappers	—	343	293	68	10	3	4	40	91	6	6	1	232	336	328	664	96	320	27	12	305	92	-3	+1	—	—	+7	0.5
2022	26	INTL	Adelaide Giants	—	177	157	54	10	2	11	17	31	3	4	3	344	418	643	1.061	299	374	18	10	458	196	+20	-0	—	—	+4	2.4
2023	27	AA	Reading Fightin Phils	—	92	80	16	4	0	2	10	20	1	6	0	200	297	325	622	125	237	22	11	283	78	-2	+1	—	—	+2	0.1
2023	27	A+	Jersey Shore BlueClaws	—	392	318	86	8	0	8	54	80	13	22	3	270	397	371	768	101	332	20	14	351	124	+11	+3	—	—	+8	2.3
2023	27	INTL	Adelaide Giants	—	170	145	47	8	0	6	20	17	3	6	3	324	417	503	920	179	331	10	12	405	160	+12	+0	—	—	+4	1.6
2024	28	A+	Rome Emperors	—	298	248	55	7	1	2	43	68	4	9	2	222	346	282	628	60	294	23	14	297	87	-5	+1	—	—	+6	0.3
2024	28	INTL	Adelaide Giants	—	166	141	37	5	0	8	17	17	4	2	1	262	358	468	826	206	244	10	10	359	129	+6	+0	—	—	+4	1.0
2025	29	INTL	Adelaide Giants	—	174	147	52	7	0	5	19	15	5	3	2	354	444	503	948	150	364	9	11	417	168	+14	-0	—	—	+4	1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	22	ROK MLE	AZL Athletics	—	190	166	32	3	5	2	18	53	4	8	4	193	287	307	594	114	256	28	9	257	60	-9	+0	—	—	+4	-0.5
2019	23	A MLE	Beloit Snappers	—	343	305	54	7	2	3	28	121	6	6	1	177	260	243	502	66	272	35	8	228	40	-24	+1	—	—	+7	-1.6
2023	27	AA MLE	Reading Fightin Phils	—	92	83	13	3	0	1	7	24	1	6	0	157	231	229	460	72	213	26	8	229	41	-6	+1	—	—	+2	-0.3
2023	27	A+ MLE	Jersey Shore BlueClaws	—	392	336	77	6	0	8	36	108	13	22	3	229	327	318	646	89	295	28	9	287	80	-9	+3	—	—	+8	0.3
2024	28	A+ MLE	Rome Emperors	—	298	266	49	6	1	2	25	93	4	9	2	184	264	237	501	53	265	31	8	229	41	-21	+1	—	—	+6	-1.4
2018	22	ROK MLE	AZL Athletics	—	190	166	32	3	5	2	18	53	4	8	4	193	287	307	594	114	265	28	9	257	60	—	—	—	—	—	—
2018	22	ROK RAW	AZL Athletics	—	190	154	42	4	7	2	30	37	4	8	4	273	404	429	833	156	342	19	16	372	60	—	—	—	—	—	—
2019	23	A MLE	Beloit Snappers	—	343	305	54	7	2	3	28	121	6	6	1	177	260	243	502	66	279	35	8	228	40	—	—	—	—	—	—
2019	23	A RAW	Beloit Snappers	—	343	293	68	10	3	4	40	91	6	6	1	232	336	328	664	96	320	27	12	305	40	—	—	—	—	—	—
2022	26	INTL MLE	Adelaide Giants	—	177	157	54	10	2	11	17	31	3	4	3	344	418	643	1.061	299	374	18	10	—	—	—	—	—	—	—	—
2022	26	INTL RAW	Adelaide Giants	—	177	157	54	10	2	11	17	31	3	4	3	344	418	643	1.061	299	374	18	10	458	196	—	—	—	—	—	—
2023	27	A+ MLE	3 teams	—	654	569	123	13	0	12	58	179	17	34	6	216	307	302	610	86	288	27	9	276	73	—	—	—	—	—	—
2023	27	A+ RAW	3 teams	—	654	543	149	20	0	16	84	117	17	34	6	274	388	400	788	125	318	18	13	355	73	—	—	—	—	—	—
2024	28	A+ MLE	2 teams	—	464	410	77	9	2	3	39	144	8	11	3	188	271	241	513	54	276	31	8	229	41	—	—	—	—	—	—
2024	28	A+ RAW	2 teams	—	464	389	92	12	1	10	60	85	8	11	3	237	350	350	700	113	274	18	13	319	41	—	—	—	—	—	—
2025	29	INTL MLE	Adelaide Giants	—	174	147	52	7	0	5	19	15	5	3	2	354	444	503	948	150	364	9	11	—	—	—	—	—	—	—	—
2025	29	INTL RAW	Adelaide Giants	—	174	147	52	7	0	5	19	15	5	3	2	354	444	503	948	150	364	9	11	417	168	—	—	—	—	—	—
2018	22	ROK MLE	AZL Athletics	—	190	166	32	3	5	2	18	53	4	8	4	193	287	307	594	114	256	28	9	257	60	—	—	—	—	—	—
2019	23	A MLE	Beloit Snappers	—	343	306	54	7	2	3	28	121	6	6	1	176	260	242	501	65	272	35	8	228	40	—	—	—	—	—	—
2023	27	A+ MLE	3 teams	—	654	574	123	13	0	12	58	179	17	34	6	214	307	300	607	85	279	27	9	276	73	—	—	—	—	—	—
2024	28	A+ MLE	2 teams	—	464	414	77	9	2	3	39	144	8	11	3	186	271	239	510	53	265	31	8	229	41	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	27	A+ MLE	3 teams	—	654	574	123	13	0	12	58	179	17	34	6	214	307	300	607	85	279	27	9	276	73	—	—	—	—	—	—
2024	28	A+ MLE	2 teams	—	464	414	77	9	2	3	39	144	8	11	3	186	271	239	510	53	265	31	8	229	41	—	—	—	—	—	—
▸ 2026 season
2026	30	MLB MLE	ATL	0%	19	17	4	1	0	0	2	5	0	0	0	235	316	294	610	59	268	26	11	258	61	-1	+0	+0	+0	+0	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	31	MLB MLE	ATL	22%	226	201	40	6	1	3	20	61	3	5	1	199	281	284	565	85	268	27	9	260	62	-10	+1	-3	+1	+5	-0.7
2028	32	MLB MLE	ATL	34%	249	222	44	7	1	3	22	67	3	4	1	198	279	279	559	81	267	27	9	260	62	-11	+0	-4	+1	+5	-0.8
2027	31	MLB CTX	ATL	22%	49	44	9	1	0	1	4	13	1	1	0	205	286	295	581	91	268	27	8	250	62	-2	+0	-1	+0	+1	-0.1
2028	32	MLB CTX	ATL	34%	85	77	14	2	0	1	7	23	1	1	0	182	259	247	506	65	267	27	8	250	62	-4	+0	-1	+0	+2	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	134	121	23	3	0	2	11	36	2	2	0	190	269	264	533	74	253	27	8	250	33	-6	+0	-2	+0	+3	-0.4
/ 162G	—	A+C		—	650	587	112	15	0	10	53	175	10	10	0	191	269	267	537	77	254	27	8	250	33	-29	+2	-9	+2	+14	-2.0
Career	—	MLE		—	2496	2194	480	63	13	42	223	676	49	75	21	219	305	317	622	98	293	27	9	217	33	-22	+1	-6	+2	+11	-1.5
/ 162G	—	MLE		—	650	571	124	16	3	11	58	176	13	20	5	217	303	313	617	96	290	27	9	217	33	-29	+1	-8	+2	+14	-2.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Adam 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
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4Ryan 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
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.6	370	5	8	200	279	279	+1	+2	-0.6	-0.3
/162	664	8	15	+2.4	+3.6	-1.1	pk7: 0
#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
Nick Ward (OGILVIE)	30	32	32	50	51	196/279/273	77	268	3	6	27%	9%	61	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Anthony Bemboom 2020 · MLB	30	40	42→40	44→45	44	199/258/302	103	260	10	4	27%	7%	58	-1.7	206/276/328	122	265	13	5	26%	8%	72	-0.7	201/272/306	105	260	10	2	26%	8%	63	-0.5
✕Chris Rabago 2022 · AAA	29	40	40	47→55	44	198/266/286	88	273	8	13	29%	8%	57	-1.8	201/268/296	95	308	8	10	35%	7%	61	-1.5	157/228/221	64	263	4	5	39%	6%	26	-1.2
✕Tyler LaTorre 2014 · AAA	31	42	42→40	48→40	44	208/270/311	103	278	10	6	28%	7%	65	-1.2	222/282/308	86	310	7	8	28%	8%	68	-1.0	240/291/293	53	337	2	4	28%	7%	65	-0.4
✕Brian Jeroloman 2015 · AAA	30	39→38	39→40	39→40	45	191/256/266	74	259	7	4	28%	8%	49	-2.4	205/284/280	75	270	5	5	24%	10%	63	-1.4	196/294/238	42	256	0	0	21%	12%	57	-0.5
✕Jonathan Diaz 2015 · MLB	30	45→47	36→30	48→50	50	209/286/276	66	260	3	12	20%	8%	63	-1.4	205/282/267	62	257	3	8	20%	8%	59	-1.6	196/280/244	48	247	2	6	20%	9%	52	-1.3
✕Anderson Machado 2010 · AAA	29	39→44	39→40	53→45	50	187/268/272	85	254	6	14	27%	10%	55	-1.9	208/279/297	89	286	5	7	27%	9%	65	-1.2	230/300/318	88	324	2	0	27%	9%	74	-0.3
✕Horacio Vasquez 2016 · AAA	30	44	38→40	48→40	40	213/257/290	77	280	6	9	26%	5%	55	-2.0	228/263/307	79	295	6	10	24%	4%	60	-1.6	245/256/277	32	313	0	6	22%	2%	49	-0.7
✕Eric Stamets 2022 · MLB	30	36→46	42→45	54→50	42	185/250/290	106	250	10	13	30%	7%	53	-2.1	190/262/302	112	274	11	13	33%	7%	61	-1.5	142/221/231	89	212	10	16	36%	6%	28	-1.5
✕Carlos Eduardo Gonzalez 2015 · AAA	30	43	39→40	43→50	39	206/256/291	85	281	6	9	28%	5%	54	-2.0	220/282/333	113	279	10	10	24%	7%	74	-0.5	211/265/300	89	265	7	6	22%	6%	56	-0.6
✕Peter Mooney 2021 · AAA	30	45→51	42→40	48→45	49	219/284/327	108	264	9	10	20%	8%	74	-0.6	202/263/302	100	265	10	10	26%	7%	60	-1.6	136/197/181	45	178	6	3	27%	7%	5	-1.3
✕Erick Castillo 2022 · AAA	29	43	37→30	47→30	46	206/278/276	70	258	5	5	21%	6%	61	-1.5	220/281/299	79	279	6	7	22%	5%	66	-1.1	220/269/235	15	284	0	0	21%	3%	44	-0.6
✕Steven Lerud 2015 · AAA	30	45→42	41→45	48→40	48	216/300/313	97	298	8	5	28%	9%	78	-0.3	219/297/297	78	310	6	5	29%	8%	72	-0.7	211/293/257	46	307	3	0	29%	8%	58	-0.6
✕Pete Kozma 2018 · MLB	30	39→47	36→40	46→50	42	191/243/254	63	248	5	11	24%	5%	41	-3.0	203/254/302	99	248	7	8	21%	6%	57	-1.8	194/243/282	88	241	5	6	21%	5%	46	-1.7
✕Bubba Crosby 2006 · MLB	29	45	43→40	51→50	44	220/271/324	104	253	11	13	18%	5%	68	-1.0	214/278/328	114	260	11	17	21%	6%	72	-0.7	203/271/307	103	250	7	28	21%	6%	62	-0.5
✕JJ Muno 2022 · AA	28	39	43→40	54→60	39	192/278/300	107	279	10	21	33%	6%	67	-1.1	209/292/300	91	295	8	27	30%	7%	72	-0.7	198/291/265	66	283	5	39	29%	8%	61	-0.8
✕Francisco Rivera 2019 · AAA	30	46	40	48→40	48	223/279/316	93	268	7	8	20%	7%	69	-0.9	243/297/353	110	288	12	7	19%	7%	84	+0.2	251/303/339	87	293	12	2	18%	7%	82	-0.0
✕Skyler Stromsmoe 2014 · AAA	30	47	38→40	47→50	48	223/291/304	82	277	5	12	21%	7%	71	-0.8	216/297/288	72	269	3	12	19%	8%	70	-0.8	205/298/259	54	258	0	13	18%	9%	63	-0.6
✕Paul Hoover 2006 · AAA	30	43	42→45	50→45	44	211/269/319	108	265	9	10	24%	6%	66	-1.1	225/277/339	114	297	10	7	26%	6%	74	-0.6	223/273/333	109	299	10	3	28%	6%	68	-0.4
✕Joey Wong 2017 · AAA	29	45→49	36→40	47→45	47	211/271/280	68	271	3	6	22%	7%	57	-1.8	221/299/295	74	286	6	4	23%	9%	72	-0.7	220/306/276	56	285	4	0	22%	10%	68	-0.5
✕Max McDowell 2023 · AAA	29	40→48	38→40	47→50	45	192/279/274	82	267	6	9	28%	8%	61	-1.5	193/276/290	97	277	11	6	32%	7%	63	-1.3	168/259/249	80	245	12	1	34%	7%	46	-1.0

Career Stats + Projections

Career Comps

Career Path Comps