Nomar Fana — OGILVIE

Nomar FanaLF Lakeland Flying Tigers

Age 23 S/R 5'10" / 175 lbs A HR -8% Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 240 proj PA

wRC+†46

AVG/OBP/SLG.158 / .244 / .264

PA21

HR0

K%35

BB%9

ISO107

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 25 / POW 49

Toolsscout grade

CONTACT25

scouting grade only

POWER49

scouting grade only

EYE62

scouting grade only

SPEED57

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	MiLB	still in minors · estimated debut 2031
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)
2021	18	ROK	DSL Tigers	—	121	107	25	8	0	1	13	28	0	5	2	234	317	336	653	103	304	23	11	297	87	-2	+0	—	—	+3	0.1
2022	19	ROK	DSL Tigers 1	—	167	140	36	11	1	3	25	49	1	8	5	257	373	414	788	157	371	29	15	354	126	+5	-0	—	—	+4	0.9
2023	20	ROK	FCL Tigers	—	104	87	22	2	0	2	15	23	1	5	1	253	369	345	714	92	317	22	14	329	109	+1	+1	—	—	+2	0.4
2024	21	A	Lakeland Flying Tigers	—	84	73	15	7	1	3	9	25	0	2	0	205	293	452	745	247	255	30	11	318	102	+0	+0	—	—	+2	0.2
2024	21	ROK	FCL Tigers	—	228	182	53	8	1	10	44	57	1	15	4	291	430	511	941	220	374	25	19	416	168	+18	+1	—	—	+5	2.5
2025	22	A	Lakeland Flying Tigers	—	128	113	14	3	0	2	14	53	0	4	0	124	220	204	424	80	203	41	11	203	23	-12	+1	—	—	+3	-0.8
2025	22	ROK	FCL Tigers	—	125	94	22	2	1	2	24	27	3	7	3	234	405	340	745	106	294	22	19	341	117	+3	+0	—	—	+3	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL Tigers	—	121	112	18	5	0	1	8	40	0	5	2	161	217	232	449	71	233	33	7	199	21	-11	+0	—	—	+3	-0.9
2022	19	ROK MLE	DSL Tigers 1	—	167	150	25	7	1	2	15	71	1	8	5	167	247	267	514	100	285	43	9	228	40	-12	-0	—	—	+4	-0.9
2023	20	ROK MLE	FCL Tigers	—	104	93	17	1	0	2	9	34	1	5	1	183	262	258	520	75	262	33	9	236	46	-7	+1	—	—	+2	-0.4
2024	21	A MLE	Lakeland Flying Tigers	—	84	76	10	4	1	2	6	35	0	2	0	132	195	289	485	158	190	42	7	218	34	-7	+0	—	—	+2	-0.4
2024	21	ROK MLE	FCL Tigers	—	228	201	41	6	1	8	26	83	1	15	4	204	298	363	661	159	296	36	11	287	80	-5	+1	—	—	+5	0.1
2025	22	A MLE	Lakeland Flying Tigers	—	128	116	9	2	0	1	11	75	0	4	0	78	157	121	278	43	189	59	9	142	-18	-18	+1	—	—	+3	-1.5
2025	22	ROK MLE	FCL Tigers	—	125	103	20	2	1	2	15	39	3	7	3	194	314	291	605	97	248	31	12	262	63	-5	+0	—	—	+3	-0.3
2021	18	ROK MLE	DSL Tigers	—	121	112	18	5	0	1	8	40	0	5	2	161	217	232	449	71	236	33	7	199	21	—	—	—	—	—	—
2021	18	ROK RAW	DSL Tigers	—	121	107	25	8	0	1	13	28	0	5	2	234	317	336	653	103	304	23	11	297	21	—	—	—	—	—	—
2022	19	ROK MLE	DSL Tigers 1	—	167	150	25	7	1	2	15	71	1	8	5	167	247	267	514	100	295	43	9	228	40	—	—	—	—	—	—
2022	19	ROK RAW	DSL Tigers 1	—	167	140	36	11	1	3	25	49	1	8	5	257	373	414	788	157	371	29	15	354	40	—	—	—	—	—	—
2023	20	ROK MLE	FCL Tigers	—	104	93	17	1	0	2	9	34	1	5	1	183	262	258	520	75	259	33	9	236	46	—	—	—	—	—	—
2023	20	ROK RAW	FCL Tigers	—	104	87	22	2	0	2	15	23	1	5	1	253	369	345	714	92	317	22	14	329	46	—	—	—	—	—	—
2024	21	ROK MLE	2 teams	—	312	277	51	10	1	10	32	117	1	17	4	184	271	336	607	152	270	38	10	268	68	—	—	—	—	—	—
2024	21	ROK RAW	2 teams	—	312	255	68	15	2	13	53	82	1	17	4	267	394	494	888	227	340	26	17	390	68	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	253	219	29	4	1	3	26	114	3	11	3	132	234	201	435	68	245	45	10	201	22	—	—	—	—	—	—
2025	22	A RAW	2 teams	—	253	207	36	5	1	4	38	80	3	11	3	174	310	266	576	92	252	32	15	271	22	—	—	—	—	—	—
2021	18	ROK MLE	DSL Tigers	—	121	112	18	5	0	1	8	40	0	5	2	161	217	232	449	71	233	33	7	199	21	—	—	—	—	—	—
2022	19	ROK MLE	DSL Tigers 1	—	167	149	25	7	1	2	15	71	1	8	5	168	247	268	515	101	285	43	9	228	40	—	—	—	—	—	—
2023	20	ROK MLE	FCL Tigers	—	104	93	17	1	0	2	9	34	1	5	1	183	262	258	520	75	262	33	9	236	46	—	—	—	—	—	—
2024	21	ROK MLE	2 teams	—	312	276	51	10	1	10	32	117	1	17	4	185	271	337	608	152	267	38	10	268	68	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	253	222	29	4	1	3	26	114	3	11	3	131	234	198	432	68	218	45	10	201	22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	FCL Tigers	—	104	93	17	1	0	2	9	34	1	5	1	183	262	258	520	75	262	33	9	236	46	—	—	—	—	—	—
2024	21	ROK MLE	2 teams	—	312	276	51	10	1	10	32	117	1	17	4	185	271	337	608	152	267	38	10	268	68	—	—	—	—	—	—
2025	22	A MLE	2 teams	—	253	222	29	4	1	3	26	114	3	11	3	131	234	198	432	68	218	45	10	201	22	—	—	—	—	—	—
▸ 2026 season
2026	23	MLB MLE	DET	0%	21	19	3	1	0	0	2	7	0	0	0	158	238	211	449	53	231	33	10	237	46	-1	+0	+0	-0	+0	-1.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	DET	30%	288	257	44	8	1	7	27	97	2	6	1	171	255	292	547	121	240	34	9	250	56	-15	+1	+0	-3	+6	-1.1
2028	25	MLB MLE	DET	44%	356	316	56	11	1	9	34	117	3	7	2	177	263	304	567	127	245	33	10	259	61	-16	+1	+0	-4	+8	-1.2
2029	26	MLB MLE	DET	51%	401	357	64	12	1	10	38	129	3	8	2	179	264	303	566	123	247	32	9	264	65	-17	+1	+0	-4	+9	-1.2
2027	24	MLB CTX	DET	30%	87	78	12	2	0	2	8	29	1	2	0	154	241	256	498	103	236	33	9	240	56	-5	+0	+0	-1	+2	-0.3
2028	25	MLB CTX	DET	44%	157	140	25	5	1	4	15	51	1	3	1	179	263	314	577	136	240	32	10	248	61	-7	+0	+0	-2	+3	-0.5
2029	26	MLB CTX	DET	51%	203	180	32	6	1	5	19	65	2	4	1	178	264	306	569	128	243	32	9	253	65	-9	+0	+0	-2	+4	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	447	398	69	13	2	11	42	145	4	9	2	173	259	299	558	126	238	32	9	249	52	-20	+1	+0	-5	+10	-1.5
/ 162G	—	A+C		—	650	579	101	19	3	16	61	211	6	13	3	174	260	301	561	126	239	32	9	249	52	-30	+1	+0	-7	+14	-2.1
Career	—	MLE		—	2023	1800	307	59	6	44	191	726	14	67	20	171	255	283	539	113	252	36	9	245	52	-50	+2	+0	-11	+23	-3.7
/ 162G	—	MLE		—	650	578	99	19	2	14	61	233	4	22	6	171	254	284	538	112	254	36	9	245	52	-30	+1	+0	-7	+14	-2.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Adam 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
#3Ryan 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
#4Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.0	687	16	13	173	256	293	-7	-2	-2.3	-1.1
/162	664	16	13	-7.1	-1.9	-2.2	pk7: 0

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
Nomar Fana (OGILVIE)	23	20→25	44→49	52→57	62	158/244/264	106	231	5	5	35%	9%	46	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yasel Antuna 2023 · AA	23	37→35	43→45	48→50	48	187/270/293	106	259	11	14	30%	10%	61	-1.5	189/270/286	97	275	9	13	32%	9%	59	-1.6	143/232/224	81	211	7	12	33%	10%	31	-1.5
✕Zavier Warren 2023 · AA	24	37→38	45	52→45	45	192/261/314	121	250	13	7	28%	8%	63	-1.4	192/258/304	112	258	12	7	29%	7%	59	-1.6	181/250/286	104	246	12	7	30%	8%	51	-1.6
✕Jacob Wetzel 2023 · A	23	39→34	44→45	49→50	45	195/276/305	110	270	12	10	31%	8%	67	-1.1	191/265/303	112	284	10	13	34%	8%	61	-1.5	178/252/295	117	273	8	16	35%	8%	53	-1.1
✕Jeff Flagg 2009 · A	23	38	44→45	54→40	43	194/261/311	117	269	11	10	31%	8%	62	-1.4	195/250/303	108	324	11	6	40%	6%	55	-1.9	178/230/283	105	303	12	3	43%	6%	41	-1.0
✕Jose Acosta 2023 · A	23	38	45	49→55	36	190/247/309	120	298	13	16	39%	6%	56	-1.9	191/244/298	107	281	10	17	34%	6%	52	-2.2	168/215/261	94	236	9	22	32%	5%	30	-1.0
✕Joe Gray Jr. 2023 · A	23	31→34	47→45	55→50	37	164/238/297	132	268	15	14	42%	7%	51	-2.3	175/232/271	96	271	10	13	37%	6%	42	-2.9	171/214/256	85	251	10	14	35%	4%	29	-3.1
✕Cam Gibson 2017 · A	23	37→41	41→45	53→55	40	183/242/278	94	269	8	17	34%	7%	47	-2.6	198/260/312	114	273	10	17	29%	7%	61	-1.5	194/259/307	113	262	9	19	28%	7%	58	-1.3
✕Kyle Robinson 2012 · A	23	35	41→45	51→30	39	178/228/284	107	247	8	4	31%	6%	43	-2.8	205/255/294	89	300	5	5	31%	6%	55	-2.0	210/261/310	100	314	5	1	33%	6%	60	-0.7
✕Stefan Sabol 2015 · A	23	33→42	43→40	50	42	171/241/283	112	258	10	12	36%	8%	48	-2.5	196/265/292	96	313	8	9	37%	8%	59	-1.7	193/266/277	84	311	7	7	37%	8%	54	-1.2
✕Yohan Silva 2008 · A	23	41→40	42→45	47→45	47	203/270/305	102	262	9	8	26%	8%	63	-1.3	206/279/318	112	274	10	9	27%	9%	70	-0.8	166/255/273	107	220	9	8	27%	10%	49	-0.7
✕Kendall Simmons 2023 · A	23	36	47→50	49→50	38	188/254/321	133	272	15	10	35%	6%	62	-1.4	207/272/348	141	302	15	9	35%	6%	75	-0.5	202/267/346	145	293	16	7	35%	6%	71	-0.3
✕Chase Simpson 2016 · A	24	41→38	43→45	51→45	45	202/273/314	112	288	10	6	32%	9%	67	-1.1	192/256/311	119	279	11	6	33%	7%	60	-1.6	168/233/290	122	239	11	3	33%	7%	45	-1.1
✕Nick Quintana 2022 · A	24	33→40	43→45	47→45	45	171/253/277	106	242	11	6	33%	9%	52	-2.2	190/275/295	105	266	10	5	30%	9%	64	-1.3	176/269/273	97	244	10	3	30%	10%	54	-1.0
✕Oliver Dominguez 2012 · A	23	40	40	52→45	49	197/272/290	93	263	7	15	27%	9%	61	-1.5	198/260/296	98	289	8	8	32%	7%	57	-1.8	182/242/277	95	271	7	3	34%	7%	44	-1.0
✕Lance Ray 2013 · A	23	38→37	45	45	45	196/264/320	124	260	13	6	29%	8%	65	-1.2	202/266/319	117	280	10	6	30%	7%	65	-1.2	154/224/207	53	220	4	5	30%	8%	23	-0.9
✕Jacob Schrader 2014 · A	23	37→36	45→50	50→30	36	187/243/307	120	283	12	5	37%	6%	54	-2.0	210/253/345	135	300	15	3	34%	4%	66	-1.1	203/245/339	135	288	16	2	34%	4%	59	-1.1
✕Johan Lopez 2023 · AA	23	39	43→45	51→55	41	193/269/299	106	293	11	13	36%	8%	63	-1.4	203/273/300	97	309	8	12	34%	8%	64	-1.3	170/256/241	71	275	3	11	36%	10%	43	-0.6
✕Taylor Snyder 2018 · A	23	36→34	44→50	47→50	32	186/229/299	113	278	11	13	37%	4%	47	-2.6	195/241/315	120	305	12	12	38%	5%	55	-2.0	189/239/340	151	271	18	12	36%	5%	59	-1.1
✕Nicholas Romero 2010 · A	23	40→42	41→40	50→45	46	198/272/295	97	268	9	6	28%	8%	63	-1.4	190/255/273	83	264	5	6	28%	7%	51	-2.3	177/241/254	76	248	3	4	28%	7%	40	-2.3
✕Evan Chambers 2012 · A	23	38→37	43→40	47→50	47	187/278/293	106	270	10	17	32%	10%	65	-1.2	184/269/264	80	300	6	13	37%	10%	55	-2.0	146/242/188	42	259	2	14	40%	11%	28	-2.2

Career Stats + Projections

Career Comps

Career Path Comps